{"parentUuid":null,"isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":"Read EVERY file in /home/ccuser/rateright-growth/src/services/ and provide a detailed audit. For each file report:\n1. What functions it exports and their purpose\n2. Bug risks — race conditions, unhandled promises, logic errors\n3. Error handling — are errors caught properly? Are they swallowed silently?\n4. Dead code — unused exports, commented-out code, stale functions\n5. Security issues — API key exposure, SQL injection, unsafe string interpolation in queries\n6. External API calls — what third-party services are used? Are responses validated?\n7. Database queries — what tables are accessed? Any raw SQL injection risks?\n\nThe files to read are:\n- challengesServiceV2.js, aiCallScoring.js, activationAI.js, challengesService.js\n- badgesService.js, callListRanker.js, callAnalytics.js, promptManagement.js\n- learning.js, duelsService.js, dealIntelligence.js, selfImprovement.js\n- platformSync.js, perplexity.js, repPerformance.js, compliance.js\n- openai.js, criticalAlerts.js, leaderboardService.js, deepgram.js\n- scoring.js, pushNotifications.js, weeklyIntelligence.js\n- twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js\n- xpService.js, wisdom.js, stageDiagnosis.js, stageCalculator.js\n- twimlWithStream.js, qualityAudit.js, ai.js, notifications.js\n- taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js\n- enrichment.js, jobLocking.js, twilio.js, cache.js\n\nBe thorough and brutal. Report EVERYTHING with specific line numbers and code snippets."},"uuid":"61ce7cb0-0987-451c-bc95-b2ecfe913c26","timestamp":"2026-02-07T05:51:19.146Z"}
{"parentUuid":"61ce7cb0-0987-451c-bc95-b2ecfe913c26","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_012zhS3Ed3XYhF6p4sDbVsXD","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll start by reading the memory files as instructed, then systematically audit every file in the services directory. Let me begin by reading the memory files and the first batch of service files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3196,"cache_read_input_tokens":10406,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3196},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBmsXGUQesVYqTpdFEE","type":"assistant","uuid":"ef0cf73f-90a5-4126-ae07-45b28920c5a1","timestamp":"2026-02-07T05:51:22.135Z"}
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{"parentUuid":"ed0a927b-2061-453b-ac4c-67ec19b45e28","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>File does not exist.</tool_use_error>","is_error":true,"tool_use_id":"toolu_011o9ukoESXBkHadrhfSANtH"}]},"uuid":"a2e45e56-d2ab-42b6-8790-ccc431b3d2f2","timestamp":"2026-02-07T05:51:22.592Z","toolUseResult":"Error: File does not exist.","sourceToolAssistantUUID":"ed0a927b-2061-453b-ac4c-67ec19b45e28"}
{"parentUuid":"a2e45e56-d2ab-42b6-8790-ccc431b3d2f2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_012zhS3Ed3XYhF6p4sDbVsXD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JDPo5UCpf4nT3tANGaMhrg","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/.claude/SHARED-MEMORY.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3196,"cache_read_input_tokens":10406,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3196},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBmsXGUQesVYqTpdFEE","type":"assistant","uuid":"7d9bdaa1-85f6-477b-98ae-979306b007f8","timestamp":"2026-02-07T05:51:23.115Z"}
{"parentUuid":"7d9bdaa1-85f6-477b-98ae-979306b007f8","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>Sibling tool call errored</tool_use_error>","is_error":true,"tool_use_id":"toolu_01JDPo5UCpf4nT3tANGaMhrg"}]},"uuid":"24ea2352-aaef-40bb-a847-9f7831d9c19e","timestamp":"2026-02-07T05:51:23.116Z","toolUseResult":"Sibling tool call errored","sourceToolAssistantUUID":"7d9bdaa1-85f6-477b-98ae-979306b007f8"}
{"parentUuid":"24ea2352-aaef-40bb-a847-9f7831d9c19e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_012zhS3Ed3XYhF6p4sDbVsXD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DNfGxaWxSRxnsoRJbiXTxk","name":"Bash","input":{"command":"ls -la /home/ccuser/rateright-growth/src/services/","description":"List all service files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3196,"cache_read_input_tokens":10406,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3196},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBmsXGUQesVYqTpdFEE","type":"assistant","uuid":"f8bc5195-ab7f-4082-a406-dc96d52a0f7a","timestamp":"2026-02-07T05:51:23.761Z"}
{"parentUuid":"f8bc5195-ab7f-4082-a406-dc96d52a0f7a","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>Sibling tool call errored</tool_use_error>","is_error":true,"tool_use_id":"toolu_01DNfGxaWxSRxnsoRJbiXTxk"}]},"uuid":"318eeab7-3828-4005-8225-f08061bc5302","timestamp":"2026-02-07T05:51:23.767Z","toolUseResult":"Sibling tool call errored","sourceToolAssistantUUID":"f8bc5195-ab7f-4082-a406-dc96d52a0f7a"}
{"parentUuid":"318eeab7-3828-4005-8225-f08061bc5302","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01PZYVL9fC7kxnhEhEopcZfT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FjxozdiPY6tnX2LdyqGaY9","name":"Bash","input":{"command":"ls -la /home/ccuser/rateright-growth/src/services/","description":"List all service files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":13602,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":382},"output_tokens":19,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBnDK91h4SoWnZkksJa","type":"assistant","uuid":"d25652f9-0394-426e-be68-fd1606f83af1","timestamp":"2026-02-07T05:51:26.418Z"}
{"parentUuid":"d25652f9-0394-426e-be68-fd1606f83af1","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FjxozdiPY6tnX2LdyqGaY9","type":"tool_result","content":"total 672\ndrwxr-xr-x 2 ccuser ccuser  4096 Feb  5 22:09 .\ndrwxr-xr-x 8 ccuser ccuser  4096 Feb  2 16:30 ..\n-rw-r--r-- 1 ccuser ccuser 15480 Jan 30 19:24 activationAI.js\n-rw-rw-r-- 1 ccuser ccuser 82622 Jan 31 01:49 ai.js\n-rw-r--r-- 1 ccuser ccuser 12990 Jan 30 19:24 aiCallScoring.js\n-rw-r--r-- 1 ccuser ccuser 10725 Jan 30 19:24 badgesService.js\n-rw-r--r-- 1 root   root    5437 Feb  5 22:09 cache.js\n-rw-r--r-- 1 ccuser ccuser 23030 Jan 30 19:24 callAnalytics.js\n-rw-r--r-- 1 ccuser ccuser 17533 Jan 30 19:24 callListRanker.js\n-rw-r--r-- 1 ccuser ccuser 12819 Jan 30 19:24 challengesService.js\n-rw-r--r-- 1 ccuser ccuser  9379 Jan 30 19:24 challengesServiceV2.js\n-rw-r--r-- 1 ccuser ccuser 15279 Jan 30 19:24 compliance.js\n-rw-r--r-- 1 ccuser ccuser 16391 Jan 30 19:24 criticalAlerts.js\n-rw-r--r-- 1 ccuser ccuser 16908 Jan 30 19:24 dealIntelligence.js\n-rw-r--r-- 1 ccuser ccuser  1948 Jan 30 19:24 deepgram.js\n-rw-r--r-- 1 ccuser ccuser 16229 Jan 30 19:24 duelsService.js\n-rw-r--r-- 1 ccuser ccuser 10063 Feb  2 16:29 enrichment.js\n-rw-r--r-- 1 ccuser ccuser  7986 Feb  2 16:25 exportService.js\n-rw-r--r-- 1 ccuser ccuser  6013 Feb  3 00:06 jobLocking.js\n-rw-r--r-- 1 ccuser ccuser 14614 Jan 30 19:24 leaderboardService.js\n-rw-r--r-- 1 ccuser ccuser 14969 Jan 30 19:24 learning.js\n-rw-rw-r-- 1 ccuser ccuser  2705 Jan 31 23:46 notifications.js\n-rw-r--r-- 1 ccuser ccuser  1779 Jan 30 19:24 openai.js\n-rw-r--r-- 1 ccuser ccuser 23568 Jan 30 19:24 perplexity.js\n-rw-r--r-- 1 ccuser ccuser 15026 Jan 30 19:24 platformSync.js\n-rw-r--r-- 1 ccuser ccuser  9624 Jan 30 19:24 promptManagement.js\n-rw-r--r-- 1 ccuser ccuser  9343 Jan 30 19:24 pushNotifications.js\n-rw-r--r-- 1 ccuser ccuser 36417 Jan 31 01:03 qualityAudit.js\n-rw-r--r-- 1 ccuser ccuser 18705 Jan 30 19:24 repPerformance.js\n-rw-r--r-- 1 ccuser ccuser  8938 Jan 30 19:24 scoring.js\n-rw-r--r-- 1 ccuser ccuser 13385 Jan 30 19:24 selfImprovement.js\n-rw-r--r-- 1 ccuser ccuser 30618 Jan 30 19:24 slack.js\n-rw-r--r-- 1 ccuser ccuser 12379 Jan 30 19:24 stageCalculator.js\n-rw-r--r-- 1 ccuser ccuser 14212 Jan 30 19:24 stageDiagnosis.js\n-rw-rw-r-- 1 ccuser ccuser 11735 Jan 31 23:46 taskExecutor.js\n-rw-rw-r-- 1 ccuser ccuser  6815 Jan 31 23:46 taskParser.js\n-rw-r--r-- 1 ccuser ccuser  2117 Jan 30 19:24 templates.js\n-rw-r--r-- 1 ccuser ccuser  4780 Feb  3 18:12 twilio.js\n-rw-r--r-- 1 ccuser ccuser 11426 Jan 30 19:24 twilioMedia.js\n-rw-r--r-- 1 ccuser ccuser  1056 Jan 30 19:24 twilioMediaSetup.js\n-rw-r--r-- 1 ccuser ccuser  2198 Jan 30 19:24 twimlWithStream.js\n-rw-r--r-- 1 ccuser ccuser  7962 Feb  2 16:27 webhookDelivery.js\n-rw-r--r-- 1 ccuser ccuser 13857 Jan 30 19:24 weeklyIntelligence.js\n-rw-r--r-- 1 ccuser ccuser 13046 Jan 30 19:24 wisdom.js\n-rw-r--r-- 1 ccuser ccuser  5625 Jan 30 19:24 xpService.js","is_error":false}]},"uuid":"9770f479-9887-488a-930a-22a15e60694d","timestamp":"2026-02-07T05:51:26.594Z","sourceToolAssistantUUID":"d25652f9-0394-426e-be68-fd1606f83af1"}
{"parentUuid":"9770f479-9887-488a-930a-22a15e60694d","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_019QUVAFCVptt55m193XQUvB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Tkp2dweriiEeBNfHgdNdy5","name":"TodoWrite","input":{"todos":[{"content":"Audit batch 1: challengesServiceV2.js, aiCallScoring.js, activationAI.js, challengesService.js","status":"in_progress","activeForm":"Auditing batch 1: challengesServiceV2, aiCallScoring, activationAI, challengesService"},{"content":"Audit batch 2: badgesService.js, callListRanker.js, callAnalytics.js, promptManagement.js","status":"pending","activeForm":"Auditing batch 2: badgesService, callListRanker, callAnalytics, promptManagement"},{"content":"Audit batch 3: learning.js, duelsService.js, dealIntelligence.js, selfImprovement.js","status":"pending","activeForm":"Auditing batch 3: learning, duelsService, dealIntelligence, selfImprovement"},{"content":"Audit batch 4: platformSync.js, perplexity.js, repPerformance.js, compliance.js","status":"pending","activeForm":"Auditing batch 4: platformSync, perplexity, repPerformance, compliance"},{"content":"Audit batch 5: openai.js, criticalAlerts.js, leaderboardService.js, deepgram.js","status":"pending","activeForm":"Auditing batch 5: openai, criticalAlerts, leaderboardService, deepgram"},{"content":"Audit batch 6: scoring.js, pushNotifications.js, weeklyIntelligence.js","status":"pending","activeForm":"Auditing batch 6: scoring, pushNotifications, weeklyIntelligence"},{"content":"Audit batch 7: twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js","status":"pending","activeForm":"Auditing batch 7: twilioMedia, twilioMediaSetup, templates, slack"},{"content":"Audit batch 8: xpService.js, wisdom.js, stageDiagnosis.js, stageCalculator.js","status":"pending","activeForm":"Auditing batch 8: xpService, wisdom, stageDiagnosis, stageCalculator"},{"content":"Audit batch 9: twimlWithStream.js, qualityAudit.js, ai.js, notifications.js","status":"pending","activeForm":"Auditing batch 9: twimlWithStream, qualityAudit, ai, notifications"},{"content":"Audit batch 10: taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js","status":"pending","activeForm":"Auditing batch 10: taskExecutor, taskParser, exportService, webhookDelivery"},{"content":"Audit batch 11: enrichment.js, jobLocking.js, twilio.js, cache.js","status":"pending","activeForm":"Auditing batch 11: enrichment, jobLocking, twilio, cache"},{"content":"Compile comprehensive audit report","status":"pending","activeForm":"Compiling comprehensive audit report"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1591,"cache_read_input_tokens":13984,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1591},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBnRPv5CZ6q2eEPmrEx","type":"assistant","uuid":"8febd779-2145-4f33-a3e2-1962a78cbae7","timestamp":"2026-02-07T05:51:35.042Z"}
{"parentUuid":"8febd779-2145-4f33-a3e2-1962a78cbae7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tkp2dweriiEeBNfHgdNdy5","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"uuid":"2614bc3b-e098-45be-ac93-d28917b6a8f3","timestamp":"2026-02-07T05:51:35.044Z","sourceToolAssistantUUID":"8febd779-2145-4f33-a3e2-1962a78cbae7"}
{"parentUuid":"2614bc3b-e098-45be-ac93-d28917b6a8f3","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01P4sWbKUPW62iKG1kr4k3iG","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the first batch of files in parallel."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":882,"cache_read_input_tokens":15575,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":882},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBo3W4raRXhcyR5Pqp7","type":"assistant","uuid":"4a708223-e0d1-4b13-a57b-c2116475c14e","timestamp":"2026-02-07T05:51:36.998Z"}
{"parentUuid":"4a708223-e0d1-4b13-a57b-c2116475c14e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01P4sWbKUPW62iKG1kr4k3iG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P5yqkD13MZ5kA2RqPAKH64","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/src/services/challengesServiceV2.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":882,"cache_read_input_tokens":15575,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":882},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBo3W4raRXhcyR5Pqp7","type":"assistant","uuid":"768b8bc2-76f9-40ce-aa80-cb6f6a244558","timestamp":"2026-02-07T05:51:37.415Z"}
{"parentUuid":"768b8bc2-76f9-40ce-aa80-cb6f6a244558","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01P5yqkD13MZ5kA2RqPAKH64","toolUseID":"toolu_01P5yqkD13MZ5kA2RqPAKH64","timestamp":"2026-02-07T05:51:37.417Z","uuid":"f42e1ea8-3236-4179-82f5-e3b0cadc04ca"}
{"parentUuid":"768b8bc2-76f9-40ce-aa80-cb6f6a244558","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P5yqkD13MZ5kA2RqPAKH64","type":"tool_result","content":"     1→/**\n     2→ * Manager Challenges Service - Battleground V2\n     3→ * Custom team challenges with real stakes\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→// Challenge metrics\n     9→const CHALLENGE_METRICS = {\n    10→  calls: { name: 'Calls', unit: 'calls' },\n    11→  conversions: { name: 'Conversions', unit: 'conversions' },\n    12→  response_time: { name: 'Response Time', unit: 'seconds', lowerIsBetter: true },\n    13→  talk_time: { name: 'Talk Time', unit: 'minutes' }\n    14→};\n    15→\n    16→// Reward types\n    17→const REWARD_TYPES = {\n    18→  xp_multiplier: { name: 'XP Multiplier', description: 'Winner gets {value}x XP for the day' },\n    19→  real_prize: { name: 'Real Prize', description: 'Winner gets: {description}' },\n    20→  bragging_rights: { name: 'Bragging Rights', description: 'Winner gets trophy badge' }\n    21→};\n    22→\n    23→/**\n    24→ * Create a manager challenge\n    25→ */\n    26→async function createChallenge({\n    27→  createdBy,\n    28→  title,\n    29→  description,\n    30→  metric,\n    31→  metricGoal = 'most',\n    32→  targetValue,\n    33→  rewardType,\n    34→  rewardValue,\n    35→  rewardDescription,\n    36→  durationHours\n    37→}) {\n    38→  // Validate metric\n    39→  if (!CHALLENGE_METRICS[metric]) {\n    40→    throw new Error(`Invalid metric: ${metric}`);\n    41→  }\n    42→\n    43→  // Calculate end time\n    44→  const endsAt = new Date(Date.now() + durationHours * 60 * 60 * 1000);\n    45→\n    46→  const { data: challenge, error } = await supabase\n    47→    .from('manager_challenges')\n    48→    .insert({\n    49→      created_by: createdBy,\n    50→      title,\n    51→      description,\n    52→      metric,\n    53→      metric_goal: metricGoal,\n    54→      target_value: targetValue,\n    55→      reward_type: rewardType,\n    56→      reward_value: rewardValue,\n    57→      reward_description: rewardDescription,\n    58→      ends_at: endsAt.toISOString()\n    59→    })\n    60→    .select()\n    61→    .single();\n    62→\n    63→  if (error) throw error;\n    64→\n    65→  return {\n    66→    ...challenge,\n    67→    metric_config: CHALLENGE_METRICS[metric],\n    68→    reward_config: REWARD_TYPES[rewardType]\n    69→  };\n    70→}\n    71→\n    72→/**\n    73→ * Join a challenge\n    74→ */\n    75→async function joinChallenge(challengeId, userId) {\n    76→  // Check challenge exists and is active\n    77→  const { data: challenge, error: fetchError } = await supabase\n    78→    .from('manager_challenges')\n    79→    .select('*')\n    80→    .eq('id', challengeId)\n    81→    .eq('status', 'active')\n    82→    .single();\n    83→\n    84→  if (fetchError || !challenge) {\n    85→    throw new Error('Challenge not found or not active');\n    86→  }\n    87→\n    88→  // Check if already joined\n    89→  const { data: existing } = await supabase\n    90→    .from('challenge_participants')\n    91→    .select('id')\n    92→    .eq('challenge_id', challengeId)\n    93→    .eq('user_id', userId)\n    94→    .single();\n    95→\n    96→  if (existing) {\n    97→    throw new Error('Already joined this challenge');\n    98→  }\n    99→\n   100→  // Join\n   101→  const { data: participant, error } = await supabase\n   102→    .from('challenge_participants')\n   103→    .insert({\n   104→      challenge_id: challengeId,\n   105→      user_id: userId\n   106→    })\n   107→    .select()\n   108→    .single();\n   109→\n   110→  if (error) throw error;\n   111→\n   112→  return participant;\n   113→}\n   114→\n   115→/**\n   116→ * Get active challenges\n   117→ */\n   118→async function getActiveChallenges() {\n   119→  const { data: challenges, error } = await supabase\n   120→    .from('manager_challenges')\n   121→    .select(`\n   122→      *,\n   123→      participants:challenge_participants(\n   124→        user_id,\n   125→        current_score\n   126→      )\n   127→    `)\n   128→    .eq('status', 'active')\n   129→    .order('ends_at', { ascending: true });\n   130→\n   131→  if (error) throw error;\n   132→\n   133→  return challenges.map(c => ({\n   134→    ...c,\n   135→    metric_config: CHALLENGE_METRICS[c.metric],\n   136→    reward_config: REWARD_TYPES[c.reward_type],\n   137→    participant_count: c.participants?.length || 0\n   138→  }));\n   139→}\n   140→\n   141→/**\n   142→ * Get challenge details with leaderboard\n   143→ */\n   144→async function getChallengeDetails(challengeId) {\n   145→  const { data: challenge, error } = await supabase\n   146→    .from('manager_challenges')\n   147→    .select(`\n   148→      *,\n   149→      participants:challenge_participants(\n   150→        user_id,\n   151→        current_score,\n   152→        joined_at\n   153→      )\n   154→    `)\n   155→    .eq('id', challengeId)\n   156→    .single();\n   157→\n   158→  if (error) throw error;\n   159→\n   160→  // Sort participants by score\n   161→  const sortedParticipants = (challenge.participants || []).sort((a, b) => {\n   162→    if (CHALLENGE_METRICS[challenge.metric]?.lowerIsBetter) {\n   163→      return a.current_score - b.current_score;\n   164→    }\n   165→    return b.current_score - a.current_score;\n   166→  });\n   167→\n   168→  return {\n   169→    ...challenge,\n   170→    metric_config: CHALLENGE_METRICS[challenge.metric],\n   171→    reward_config: REWARD_TYPES[challenge.reward_type],\n   172→    leaderboard: sortedParticipants\n   173→  };\n   174→}\n   175→\n   176→/**\n   177→ * Update scores for all participants in a challenge\n   178→ */\n   179→async function updateChallengeScores(challengeId) {\n   180→  const { data: challenge, error: fetchError } = await supabase\n   181→    .from('manager_challenges')\n   182→    .select(`\n   183→      *,\n   184→      participants:challenge_participants(user_id)\n   185→    `)\n   186→    .eq('id', challengeId)\n   187→    .eq('status', 'active')\n   188→    .single();\n   189→\n   190→  if (fetchError || !challenge) return null;\n   191→\n   192→  const startTime = challenge.starts_at;\n   193→\n   194→  for (const participant of challenge.participants || []) {\n   195→    let score = 0;\n   196→\n   197→    if (challenge.metric === 'calls') {\n   198→      const { data: calls } = await supabase\n   199→        .from('communications')\n   200→        .select('id')\n   201→        .eq('user_id', participant.user_id)\n   202→        .eq('type', 'call_outbound')\n   203→        .gte('created_at', startTime);\n   204→\n   205→      score = calls?.length || 0;\n   206→    } else if (challenge.metric === 'conversions') {\n   207→      const { data: conversions } = await supabase\n   208→        .from('leads')\n   209→        .select('id')\n   210→        .eq('assigned_to', participant.user_id)\n   211→        .eq('status', 'converted')\n   212→        .gte('updated_at', startTime);\n   213→\n   214→      score = conversions?.length || 0;\n   215→    } else if (challenge.metric === 'talk_time') {\n   216→      const { data: calls } = await supabase\n   217→        .from('communications')\n   218→        .select('metadata')\n   219→        .eq('user_id', participant.user_id)\n   220→        .eq('type', 'call_outbound')\n   221→        .gte('created_at', startTime);\n   222→\n   223→      // Sum duration from metadata\n   224→      score = (calls || []).reduce((sum, c) => {\n   225→        return sum + (c.metadata?.duration || 0);\n   226→      }, 0) / 60; // Convert to minutes\n   227→    }\n   228→\n   229→    // Update score\n   230→    await supabase\n   231→      .from('challenge_participants')\n   232→      .update({ current_score: Math.round(score) })\n   233→      .eq('challenge_id', challengeId)\n   234→      .eq('user_id', participant.user_id);\n   235→  }\n   236→\n   237→  return getChallengeDetails(challengeId);\n   238→}\n   239→\n   240→/**\n   241→ * Complete a challenge and determine winner\n   242→ */\n   243→async function completeChallenge(challengeId) {\n   244→  // Update scores one final time\n   245→  const challenge = await updateChallengeScores(challengeId);\n   246→\n   247→  if (!challenge || challenge.status !== 'active') {\n   248→    throw new Error('Challenge not active');\n   249→  }\n   250→\n   251→  // Determine winner\n   252→  let winnerId = null;\n   253→\n   254→  if (challenge.leaderboard && challenge.leaderboard.length > 0) {\n   255→    const winner = challenge.leaderboard[0];\n   256→\n   257→    // For \"first to reach\" challenges, check if target was reached\n   258→    if (challenge.metric_goal === 'first' && challenge.target_value) {\n   259→      if (winner.current_score >= challenge.target_value) {\n   260→        winnerId = winner.user_id;\n   261→      }\n   262→    } else if (challenge.metric_goal === 'threshold' && challenge.target_value) {\n   263→      // For threshold, winner is first to reach it\n   264→      const reached = challenge.leaderboard.find(p => p.current_score >= challenge.target_value);\n   265→      if (reached) {\n   266→        winnerId = reached.user_id;\n   267→      }\n   268→    } else {\n   269→      // \"most\" - highest score wins\n   270→      winnerId = winner.user_id;\n   271→    }\n   272→  }\n   273→\n   274→  // Update challenge as completed\n   275→  const { data: completedChallenge, error } = await supabase\n   276→    .from('manager_challenges')\n   277→    .update({\n   278→      status: 'completed',\n   279→      winner_id: winnerId\n   280→    })\n   281→    .eq('id', challengeId)\n   282→    .select()\n   283→    .single();\n   284→\n   285→  if (error) throw error;\n   286→\n   287→  // Award XP if applicable\n   288→  if (winnerId && challenge.reward_type === 'xp_multiplier') {\n   289→    const xpBonus = 100 * (challenge.reward_value || 2);\n   290→    await supabase.rpc('add_user_xp', {\n   291→      p_user_id: winnerId,\n   292→      p_xp_amount: xpBonus\n   293→    }).catch(() => {});\n   294→\n   295→    // Create celebration\n   296→    const { createCelebrationEvent } = require('./duelsService');\n   297→    await createCelebrationEvent('challenge_win', winnerId, xpBonus, {\n   298→      challenge_title: challenge.title,\n   299→      reward: challenge.reward_description\n   300→    });\n   301→  }\n   302→\n   303→  return completedChallenge;\n   304→}\n   305→\n   306→/**\n   307→ * Cancel a challenge (manager only)\n   308→ */\n   309→async function cancelChallenge(challengeId, userId) {\n   310→  const { data: challenge, error: fetchError } = await supabase\n   311→    .from('manager_challenges')\n   312→    .select('created_by')\n   313→    .eq('id', challengeId)\n   314→    .single();\n   315→\n   316→  if (fetchError || !challenge) {\n   317→    throw new Error('Challenge not found');\n   318→  }\n   319→\n   320→  if (challenge.created_by !== userId) {\n   321→    throw new Error('Only the creator can cancel this challenge');\n   322→  }\n   323→\n   324→  const { error } = await supabase\n   325→    .from('manager_challenges')\n   326→    .update({ status: 'cancelled' })\n   327→    .eq('id', challengeId);\n   328→\n   329→  if (error) throw error;\n   330→\n   331→  return { success: true };\n   332→}\n   333→\n   334→/**\n   335→ * Process expired challenges (run periodically)\n   336→ */\n   337→async function processExpiredChallenges() {\n   338→  const { data: expiredChallenges } = await supabase\n   339→    .from('manager_challenges')\n   340→    .select('id')\n   341→    .eq('status', 'active')\n   342→    .lt('ends_at', new Date().toISOString());\n   343→\n   344→  if (expiredChallenges && expiredChallenges.length > 0) {\n   345→    for (const challenge of expiredChallenges) {\n   346→      try {\n   347→        await completeChallenge(challenge.id);\n   348→      } catch (err) {\n   349→        console.error(`Error completing challenge ${challenge.id}:`, err);\n   350→      }\n   351→    }\n   352→  }\n   353→}\n   354→\n   355→module.exports = {\n   356→  CHALLENGE_METRICS,\n   357→  REWARD_TYPES,\n   358→  createChallenge,\n   359→  joinChallenge,\n   360→  getActiveChallenges,\n   361→  getChallengeDetails,\n   362→  updateChallengeScores,\n   363→  completeChallenge,\n   364→  cancelChallenge,\n   365→  processExpiredChallenges\n   366→};\n   367→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"462b72d7-33eb-4565-a93c-9c7f2b7a5736","timestamp":"2026-02-07T05:51:37.417Z","sourceToolAssistantUUID":"768b8bc2-76f9-40ce-aa80-cb6f6a244558"}
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{"parentUuid":"e50fc067-cd89-44ae-9466-f7e50458ec66","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019rFjT66Eqhw3GLn4c72Bq3","type":"tool_result","content":"     1→/**\n     2→ * AI Call Scoring Service\n     3→ * Uses GPT-4 to score calls on 6 dimensions\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→\n     8→// Use admin client for tables with RLS\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→// Optional: Import OpenAI if available\n    12→let openai = null;\n    13→try {\n    14→  const OpenAI = require('openai');\n    15→  if (process.env.OPENAI_API_KEY) {\n    16→    openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });\n    17→  }\n    18→} catch (err) {\n    19→  console.log('OpenAI not available for call scoring');\n    20→}\n    21→\n    22→// Dimension weights\n    23→const DIMENSION_WEIGHTS = {\n    24→  rapport: 0.15,\n    25→  discovery: 0.20,\n    26→  value_prop: 0.20,\n    27→  objection: 0.20,\n    28→  close: 0.15,\n    29→  professionalism: 0.10\n    30→};\n    31→\n    32→// Grade thresholds\n    33→const GRADE_THRESHOLDS = [\n    34→  { min: 9.5, grade: 'A+' },\n    35→  { min: 8.5, grade: 'A' },\n    36→  { min: 7.5, grade: 'B+' },\n    37→  { min: 6.5, grade: 'B' },\n    38→  { min: 5.5, grade: 'C+' },\n    39→  { min: 4.5, grade: 'C' },\n    40→  { min: 3.0, grade: 'D' },\n    41→  { min: 0, grade: 'F' }\n    42→];\n    43→\n    44→/**\n    45→ * Score a call using GPT-4\n    46→ */\n    47→async function scoreCall(data) {\n    48→  const {\n    49→    communicationId,\n    50→    leadId,\n    51→    userId,\n    52→    transcript,\n    53→    leadName = 'the lead',\n    54→    trade = '',\n    55→    durationSeconds = 0,\n    56→    outcome = ''\n    57→  } = data;\n    58→\n    59→  if (!transcript || transcript.length < 50) {\n    60→    return { success: false, error: 'Transcript too short to score' };\n    61→  }\n    62→\n    63→  try {\n    64→    let scores;\n    65→\n    66→    if (openai) {\n    67→      // Use GPT-4 for scoring\n    68→      scores = await scoreWithGPT(transcript, { leadName, trade, durationSeconds, outcome });\n    69→    } else {\n    70→      // Fallback to heuristic scoring\n    71→      scores = scoreWithHeuristics(transcript);\n    72→    }\n    73→\n    74→    if (!scores) {\n    75→      return { success: false, error: 'Failed to generate scores' };\n    76→    }\n    77→\n    78→    // Calculate overall score (weighted average)\n    79→    const overallScore = calculateOverallScore(scores);\n    80→    const grade = getGrade(overallScore);\n    81→\n    82→    // Build the record\n    83→    const scoreRecord = {\n    84→      communication_id: communicationId,\n    85→      lead_id: leadId,\n    86→      user_id: userId,\n    87→      overall_score: overallScore,\n    88→      grade,\n    89→      rapport_score: scores.rapport?.score || null,\n    90→      discovery_score: scores.discovery?.score || null,\n    91→      value_prop_score: scores.value_prop?.score || null,\n    92→      objection_score: scores.objection?.score || null,\n    93→      close_score: scores.close?.score || null,\n    94→      professionalism_score: scores.professionalism?.score || null,\n    95→      dimension_notes: scores,\n    96→      highlights: scores.highlights || [],\n    97→      improvements: scores.improvements || [],\n    98→      coaching_tip: scores.coaching_tip || null,\n    99→      transcript_length: transcript.length,\n   100→      call_duration_seconds: durationSeconds,\n   101→      had_objection: transcript.toLowerCase().includes('expensive') ||\n   102→                     transcript.toLowerCase().includes('competitor') ||\n   103→                     transcript.toLowerCase().includes('not interested'),\n   104→      outcome\n   105→    };\n   106→\n   107→    // Upsert score\n   108→    const { data: score, error } = await db\n   109→      .from('call_scores')\n   110→      .upsert(scoreRecord, { onConflict: 'communication_id' })\n   111→      .select()\n   112→      .single();\n   113→\n   114→    if (error) {\n   115→      console.error('Error saving call score:', error);\n   116→      return { success: false, error: error.message };\n   117→    }\n   118→\n   119→    console.log(`Call scored: ${communicationId} - ${grade} (${overallScore})`);\n   120→    return { success: true, score };\n   121→  } catch (error) {\n   122→    console.error('Error in scoreCall:', error);\n   123→    return { success: false, error: error.message };\n   124→  }\n   125→}\n   126→\n   127→/**\n   128→ * Score using GPT-4\n   129→ */\n   130→async function scoreWithGPT(transcript, context) {\n   131→  const { leadName, trade, durationSeconds, outcome } = context;\n   132→  const durationMins = Math.round(durationSeconds / 60);\n   133→\n   134→  const prompt = `You are an expert sales call analyst. Score this call transcript on a 1-10 scale for each dimension.\n   135→\n   136→TRANSCRIPT:\n   137→${transcript.substring(0, 8000)}\n   138→\n   139→CONTEXT:\n   140→- Lead: ${leadName}${trade ? `, ${trade}` : ''}\n   141→- Call Duration: ${durationMins} minutes\n   142→- Outcome: ${outcome || 'Unknown'}\n   143→\n   144→Score each dimension (1-10) with brief notes:\n   145→\n   146→1. RAPPORT (15% weight): Did rep build personal connection? Listen actively? Show genuine interest?\n   147→2. DISCOVERY (20% weight): Did rep ask good questions? Uncover needs/pain points? Understand the situation?\n   148→3. VALUE PROP (20% weight): Did rep explain benefits clearly? Differentiate from competitors? Match value to needs?\n   149→4. OBJECTION HANDLING (20% weight): How well did rep address concerns? Stay calm? Provide evidence?\n   150→5. CLOSE (15% weight): Did rep ask for commitment? Set clear next steps? Create urgency appropriately?\n   151→6. PROFESSIONALISM (10% weight): Tone, confidence, language quality? Did they represent the company well?\n   152→\n   153→Also provide:\n   154→- 2-3 highlights (what went well)\n   155→- 2-3 improvements (what could be better)\n   156→- 1 coaching tip (most important thing to work on)\n   157→\n   158→Respond in this exact JSON format:\n   159→{\n   160→  \"rapport\": {\"score\": 8, \"notes\": \"brief note\"},\n   161→  \"discovery\": {\"score\": 7, \"notes\": \"brief note\"},\n   162→  \"value_prop\": {\"score\": 6, \"notes\": \"brief note\"},\n   163→  \"objection\": {\"score\": 8, \"notes\": \"brief note\"},\n   164→  \"close\": {\"score\": 5, \"notes\": \"brief note\"},\n   165→  \"professionalism\": {\"score\": 9, \"notes\": \"brief note\"},\n   166→  \"highlights\": [\"highlight 1\", \"highlight 2\"],\n   167→  \"improvements\": [\"improvement 1\", \"improvement 2\"],\n   168→  \"coaching_tip\": \"one actionable tip\"\n   169→}`;\n   170→\n   171→  try {\n   172→    const response = await openai.chat.completions.create({\n   173→      model: 'gpt-4o',\n   174→      messages: [\n   175→        { role: 'system', content: 'You are a sales call scoring expert. Always respond with valid JSON.' },\n   176→        { role: 'user', content: prompt }\n   177→      ],\n   178→      temperature: 0.3,\n   179→      max_tokens: 1000\n   180→    });\n   181→\n   182→    const content = response.choices[0]?.message?.content;\n   183→    if (!content) {\n   184→      throw new Error('No response from GPT-4');\n   185→    }\n   186→\n   187→    // Parse JSON from response\n   188→    const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n   189→    if (!jsonMatch) {\n   190→      throw new Error('No JSON found in response');\n   191→    }\n   192→\n   193→    return JSON.parse(jsonMatch[0]);\n   194→  } catch (error) {\n   195→    console.error('GPT-4 scoring error:', error);\n   196→    // Fallback to heuristics\n   197→    return scoreWithHeuristics(transcript);\n   198→  }\n   199→}\n   200→\n   201→/**\n   202→ * Fallback heuristic scoring (when GPT not available)\n   203→ */\n   204→function scoreWithHeuristics(transcript) {\n   205→  const text = transcript.toLowerCase();\n   206→  const sentences = transcript.split(/[.!?]+/).filter(s => s.trim());\n   207→  const words = transcript.split(/\\s+/);\n   208→\n   209→  // Rapport indicators\n   210→  const rapportKeywords = ['how are you', 'good morning', 'great to hear', 'appreciate', 'thanks for'];\n   211→  const rapportScore = Math.min(10, 5 + rapportKeywords.filter(k => text.includes(k)).length * 1.5);\n   212→\n   213→  // Discovery indicators (questions)\n   214→  const questions = transcript.match(/\\?/g) || [];\n   215→  const discoveryScore = Math.min(10, 3 + questions.length * 0.8);\n   216→\n   217→  // Value prop indicators\n   218→  const valueKeywords = ['save', 'exclusive', 'benefit', 'quality', 'guarantee', 'value'];\n   219→  const valueScore = Math.min(10, 4 + valueKeywords.filter(k => text.includes(k)).length * 1.5);\n   220→\n   221→  // Objection handling\n   222→  const objectionResponses = ['understand', 'great point', 'let me explain', 'actually'];\n   223→  const objectionScore = text.includes('expensive') || text.includes('competitor')\n   224→    ? Math.min(10, 4 + objectionResponses.filter(k => text.includes(k)).length * 2)\n   225→    : 7; // Default if no objections detected\n   226→\n   227→  // Close indicators\n   228→  const closeKeywords = ['schedule', 'next step', 'when can', 'let\\'s book', 'move forward'];\n   229→  const closeScore = Math.min(10, 3 + closeKeywords.filter(k => text.includes(k)).length * 2);\n   230→\n   231→  // Professionalism (no filler words, good length)\n   232→  const fillerCount = (text.match(/\\b(um|uh|like|you know|basically)\\b/g) || []).length;\n   233→  const profScore = Math.max(3, 9 - fillerCount * 0.5);\n   234→\n   235→  return {\n   236→    rapport: { score: Math.round(rapportScore * 10) / 10, notes: 'Heuristic: based on greeting keywords' },\n   237→    discovery: { score: Math.round(discoveryScore * 10) / 10, notes: `Heuristic: ${questions.length} questions detected` },\n   238→    value_prop: { score: Math.round(valueScore * 10) / 10, notes: 'Heuristic: based on value keywords' },\n   239→    objection: { score: Math.round(objectionScore * 10) / 10, notes: 'Heuristic: based on response patterns' },\n   240→    close: { score: Math.round(closeScore * 10) / 10, notes: 'Heuristic: based on close keywords' },\n   241→    professionalism: { score: Math.round(profScore * 10) / 10, notes: `Heuristic: ${fillerCount} filler words` },\n   242→    highlights: ['Call completed successfully'],\n   243→    improvements: ['Consider using AI scoring for detailed analysis'],\n   244→    coaching_tip: 'Enable OpenAI integration for comprehensive call scoring'\n   245→  };\n   246→}\n   247→\n   248→/**\n   249→ * Calculate weighted overall score\n   250→ */\n   251→function calculateOverallScore(scores) {\n   252→  let total = 0;\n   253→  let weightSum = 0;\n   254→\n   255→  Object.entries(DIMENSION_WEIGHTS).forEach(([dim, weight]) => {\n   256→    const score = scores[dim]?.score;\n   257→    if (score !== undefined && score !== null) {\n   258→      total += score * weight;\n   259→      weightSum += weight;\n   260→    }\n   261→  });\n   262→\n   263→  if (weightSum === 0) return 5; // Default middle score\n   264→\n   265→  const overall = total / weightSum;\n   266→  return Math.round(overall * 10) / 10;\n   267→}\n   268→\n   269→/**\n   270→ * Get letter grade from score\n   271→ */\n   272→function getGrade(score) {\n   273→  for (const threshold of GRADE_THRESHOLDS) {\n   274→    if (score >= threshold.min) {\n   275→      return threshold.grade;\n   276→    }\n   277→  }\n   278→  return 'F';\n   279→}\n   280→\n   281→/**\n   282→ * Get call score for a communication\n   283→ */\n   284→async function getCallScore(communicationId) {\n   285→  const { data, error } = await db\n   286→    .from('call_scores')\n   287→    .select('*')\n   288→    .eq('communication_id', communicationId)\n   289→    .single();\n   290→\n   291→  if (error && error.code !== 'PGRST116') {\n   292→    console.error('Error fetching call score:', error);\n   293→    return null;\n   294→  }\n   295→\n   296→  return data;\n   297→}\n   298→\n   299→/**\n   300→ * Get all scores for a user\n   301→ */\n   302→async function getUserScores(userId, options = {}) {\n   303→  const { limit = 20, startDate, endDate } = options;\n   304→\n   305→  let query = db\n   306→    .from('call_scores')\n   307→    .select('*')\n   308→    .eq('user_id', userId)\n   309→    .order('scored_at', { ascending: false })\n   310→    .limit(limit);\n   311→\n   312→  if (startDate) query = query.gte('scored_at', startDate);\n   313→  if (endDate) query = query.lte('scored_at', endDate);\n   314→\n   315→  const { data, error } = await query;\n   316→\n   317→  if (error) {\n   318→    console.error('Error fetching user scores:', error);\n   319→    return [];\n   320→  }\n   321→\n   322→  return data || [];\n   323→}\n   324→\n   325→/**\n   326→ * Get best calls (for learning/sharing)\n   327→ */\n   328→async function getBestCalls(options = {}) {\n   329→  const { limit = 10, days = 30 } = options;\n   330→\n   331→  const startDate = new Date();\n   332→  startDate.setDate(startDate.getDate() - days);\n   333→\n   334→  const { data, error } = await db\n   335→    .from('call_scores')\n   336→    .select('*')\n   337→    .gte('scored_at', startDate.toISOString())\n   338→    .order('overall_score', { ascending: false })\n   339→    .limit(limit);\n   340→\n   341→  if (error) {\n   342→    console.error('Error fetching best calls:', error);\n   343→    return [];\n   344→  }\n   345→\n   346→  return data || [];\n   347→}\n   348→\n   349→/**\n   350→ * Get calls needing coaching (low scores)\n   351→ */\n   352→async function getCallsNeedingCoaching(options = {}) {\n   353→  const { limit = 10, threshold = 5 } = options;\n   354→\n   355→  const startDate = new Date();\n   356→  startDate.setDate(startDate.getDate() - 7);\n   357→\n   358→  const { data, error } = await db\n   359→    .from('call_scores')\n   360→    .select('*')\n   361→    .gte('scored_at', startDate.toISOString())\n   362→    .lt('overall_score', threshold)\n   363→    .order('overall_score', { ascending: true })\n   364→    .limit(limit);\n   365→\n   366→  if (error) {\n   367→    console.error('Error fetching calls needing coaching:', error);\n   368→    return [];\n   369→  }\n   370→\n   371→  return data || [];\n   372→}\n   373→\n   374→/**\n   375→ * Get user score statistics\n   376→ */\n   377→async function getUserScoreStats(userId) {\n   378→  const { data, error } = await db\n   379→    .from('user_call_score_summary')\n   380→    .select('*')\n   381→    .eq('user_id', userId)\n   382→    .single();\n   383→\n   384→  if (error && error.code !== 'PGRST116') {\n   385→    console.error('Error fetching user score stats:', error);\n   386→    return null;\n   387→  }\n   388→\n   389→  return data;\n   390→}\n   391→\n   392→/**\n   393→ * Get team score leaderboard\n   394→ */\n   395→async function getScoreLeaderboard(days = 7) {\n   396→  const startDate = new Date();\n   397→  startDate.setDate(startDate.getDate() - days);\n   398→\n   399→  const { data, error } = await db\n   400→    .from('call_scores')\n   401→    .select('user_id, overall_score, grade')\n   402→    .gte('scored_at', startDate.toISOString());\n   403→\n   404→  if (error) {\n   405→    console.error('Error fetching leaderboard:', error);\n   406→    return [];\n   407→  }\n   408→\n   409→  // Group by user\n   410→  const byUser = {};\n   411→  (data || []).forEach(row => {\n   412→    if (!byUser[row.user_id]) {\n   413→      byUser[row.user_id] = { scores: [], grades: {} };\n   414→    }\n   415→    byUser[row.user_id].scores.push(row.overall_score);\n   416→    byUser[row.user_id].grades[row.grade] = (byUser[row.user_id].grades[row.grade] || 0) + 1;\n   417→  });\n   418→\n   419→  // Calculate averages\n   420→  const leaderboard = Object.entries(byUser).map(([userId, data]) => ({\n   421→    userId,\n   422→    calls: data.scores.length,\n   423→    avgScore: parseFloat((data.scores.reduce((a, b) => a + b, 0) / data.scores.length).toFixed(1)),\n   424→    bestScore: Math.max(...data.scores),\n   425→    aGrades: (data.grades['A+'] || 0) + (data.grades['A'] || 0),\n   426→    fGrades: data.grades['F'] || 0\n   427→  }));\n   428→\n   429→  return leaderboard.sort((a, b) => b.avgScore - a.avgScore);\n   430→}\n   431→\n   432→module.exports = {\n   433→  scoreCall,\n   434→  getCallScore,\n   435→  getUserScores,\n   436→  getBestCalls,\n   437→  getCallsNeedingCoaching,\n   438→  getUserScoreStats,\n   439→  getScoreLeaderboard\n   440→};\n   441→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"21022325-1aaf-438b-a99f-f3a9c7a30aa6","timestamp":"2026-02-07T05:51:37.822Z","sourceToolAssistantUUID":"e50fc067-cd89-44ae-9466-f7e50458ec66"}
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{"parentUuid":"284749f3-d291-47cf-a9db-3837d5ddbf38","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018xYPmX1pDPoBSW1RNueVUv","type":"tool_result","content":"     1→/**\n     2→ * Activation AI Service\n     3→ * AI-powered analysis for funnel blockers and personalized nudge generation\n     4→ */\n     5→\n     6→const OpenAI = require('openai');\n     7→const logger = require('../utils/logger');\n     8→const { getStageLabel, WORKER_STAGES, CONTRACTOR_STAGES } = require('./stageCalculator');\n     9→\n    10→// Initialize OpenAI client\n    11→let openai = null;\n    12→if (process.env.OPENAI_API_KEY) {\n    13→  openai = new OpenAI({\n    14→    apiKey: process.env.OPENAI_API_KEY,\n    15→  });\n    16→}\n    17→\n    18→// Models\n    19→const MODELS = {\n    20→  REASONING: 'gpt-4o',\n    21→  SIMPLE: 'gpt-4o-mini',\n    22→};\n    23→\n    24→/**\n    25→ * Analyze funnel blockers and generate insights\n    26→ * @param {object} funnelData - Funnel data with stages and counts\n    27→ * @returns {object} - Analysis with blockers and recommendations\n    28→ */\n    29→async function analyzeBlockers(funnelData) {\n    30→  if (!openai) {\n    31→    return {\n    32→      success: false,\n    33→      error: 'AI features not configured - OPENAI_API_KEY not set',\n    34→      fallback: generateFallbackBlockerAnalysis(funnelData),\n    35→    };\n    36→  }\n    37→\n    38→  const prompt = `Analyze this activation funnel data for RateRight (a worker marketplace connecting contractors with tradies).\n    39→\n    40→FUNNEL DATA:\n    41→Worker Funnel:\n    42→${funnelData.worker?.stages?.map(s => `- ${s.label}: ${s.count} (${s.pct}%)`).join('\\n') || 'No data'}\n    43→Biggest Worker Dropoff: ${funnelData.worker?.biggestDropoff ? `${funnelData.worker.biggestDropoff.fromLabel} → ${funnelData.worker.biggestDropoff.toLabel} (${funnelData.worker.biggestDropoff.dropPct}% drop)` : 'None'}\n    44→\n    45→Contractor Funnel:\n    46→${funnelData.contractor?.stages?.map(s => `- ${s.label}: ${s.count} (${s.pct}%)`).join('\\n') || 'No data'}\n    47→Biggest Contractor Dropoff: ${funnelData.contractor?.biggestDropoff ? `${funnelData.contractor.biggestDropoff.fromLabel} → ${funnelData.contractor.biggestDropoff.toLabel} (${funnelData.contractor.biggestDropoff.dropPct}% drop)` : 'None'}\n    48→\n    49→STAGE MEANINGS:\n    50→Workers: not_signed_up → signed_up → profile_complete → job_ready (has insurance/white card) → applied → working → proven\n    51→Contractors: not_signed_up → signed_up → profile_complete → stripe_ready (payments set up) → job_posted → hired → active\n    52→\n    53→Analyze the funnel and identify blockers. Respond with JSON:\n    54→{\n    55→  \"summary\": \"One sentence summary of funnel health\",\n    56→  \"primaryBlocker\": {\n    57→    \"stage\": \"The stage where most people are stuck\",\n    58→    \"type\": \"worker|contractor\",\n    59→    \"dropPct\": 40,\n    60→    \"likelyReason\": \"Why people are stuck here\",\n    61→    \"impact\": \"Revenue or user impact\"\n    62→  },\n    63→  \"secondaryBlockers\": [\n    64→    {\"stage\": \"Another blocker\", \"type\": \"worker|contractor\", \"reason\": \"Why\"}\n    65→  ],\n    66→  \"recommendations\": [\n    67→    {\n    68→      \"priority\": 1,\n    69→      \"action\": \"Specific action to take\",\n    70→      \"expectedImpact\": \"What improvement to expect\",\n    71→      \"targetStage\": \"Which stage this fixes\"\n    72→    }\n    73→  ],\n    74→  \"healthScore\": 0-100 (overall funnel health)\n    75→}`;\n    76→\n    77→  try {\n    78→    const response = await openai.chat.completions.create({\n    79→      model: MODELS.REASONING,\n    80→      messages: [{ role: 'user', content: prompt }],\n    81→      response_format: { type: 'json_object' },\n    82→      temperature: 0.6,\n    83→    });\n    84→\n    85→    const analysis = JSON.parse(response.choices[0].message.content);\n    86→    return { success: true, analysis };\n    87→  } catch (error) {\n    88→    logger.error('Blocker analysis error', { error: error.message });\n    89→    return {\n    90→      success: false,\n    91→      error: error.message,\n    92→      fallback: generateFallbackBlockerAnalysis(funnelData),\n    93→    };\n    94→  }\n    95→}\n    96→\n    97→/**\n    98→ * Generate personalized nudge message for a stuck user\n    99→ * @param {object} lead - Lead data\n   100→ * @param {string} stage - Current stage\n   101→ * @param {number} daysStuck - Days stuck at this stage\n   102→ * @param {string} diagnosis - 'forgot' | 'avoiding' | 'unknown'\n   103→ * @returns {object} - Nudge message and metadata\n   104→ */\n   105→async function generateNudge(lead, stage, daysStuck, diagnosis) {\n   106→  if (!openai) {\n   107→    return {\n   108→      success: false,\n   109→      error: 'AI features not configured',\n   110→      fallback: generateFallbackNudge(lead, stage, diagnosis),\n   111→    };\n   112→  }\n   113→\n   114→  const firstName = lead.first_name || lead.name?.split(' ')[0] || 'there';\n   115→  const leadType = lead.type || lead.metadata?.lead_type || 'unknown';\n   116→  const company = lead.company || '';\n   117→\n   118→  // Get next step based on stage\n   119→  const nextStep = getNextStepForStage(stage, leadType);\n   120→\n   121→  const prompt = `Generate a personalized SMS nudge for a stuck user on RateRight (worker marketplace).\n   122→\n   123→USER:\n   124→- Name: ${firstName}\n   125→- Company: ${company || 'Not set'}\n   126→- Type: ${leadType}\n   127→- Current Stage: ${getStageLabel(stage)}\n   128→- Days Stuck: ${daysStuck}\n   129→- Behavior: ${diagnosis === 'forgot' ? 'Hasn\\'t logged in (probably forgot about us)' : diagnosis === 'avoiding' ? 'Logging in but not progressing (avoiding next step)' : 'Unknown behavior pattern'}\n   130→\n   131→NEXT STEP THEY NEED TO TAKE:\n   132→${nextStep}\n   133→\n   134→REQUIREMENTS:\n   135→- Max 160 characters (ideally under 120)\n   136→- Friendly, not salesy\n   137→- Reference their specific situation\n   138→- Include a clear call-to-action\n   139→- Australian casual tone (but professional)\n   140→- Don't be pushy - help them, don't pressure them\n   141→\n   142→TONE GUIDE:\n   143→- \"forgot\": Light reminder, assume they've been busy\n   144→- \"avoiding\": Address the friction, offer help\n   145→- \"unknown\": Friendly check-in\n   146→\n   147→Respond with JSON:\n   148→{\n   149→  \"message\": \"The SMS to send\",\n   150→  \"tone\": \"friendly|urgent|helpful\",\n   151→  \"charCount\": 123,\n   152→  \"callToAction\": \"What you're asking them to do\",\n   153→  \"expectedResponse\": \"What kind of reply to expect\"\n   154→}`;\n   155→\n   156→  try {\n   157→    const response = await openai.chat.completions.create({\n   158→      model: MODELS.SIMPLE,\n   159→      messages: [{ role: 'user', content: prompt }],\n   160→      response_format: { type: 'json_object' },\n   161→      temperature: 0.8,\n   162→    });\n   163→\n   164→    const nudge = JSON.parse(response.choices[0].message.content);\n   165→    return { success: true, nudge };\n   166→  } catch (error) {\n   167→    logger.error('Nudge generation error', { error: error.message, leadId: lead.id });\n   168→    return {\n   169→      success: false,\n   170→      error: error.message,\n   171→      fallback: generateFallbackNudge(lead, stage, diagnosis),\n   172→    };\n   173→  }\n   174→}\n   175→\n   176→/**\n   177→ * Generate bulk nudges for multiple users at a stage\n   178→ * @param {array} leads - Array of stuck leads\n   179→ * @param {string} stage - The stage they're stuck at\n   180→ * @returns {array} - Array of nudges\n   181→ */\n   182→async function generateBulkNudges(leads, stage) {\n   183→  const nudges = [];\n   184→\n   185→  for (const lead of leads) {\n   186→    const result = await generateNudge(\n   187→      lead,\n   188→      lead.stage || stage,\n   189→      lead.daysStuck || 7,\n   190→      lead.diagnosis || 'unknown'\n   191→    );\n   192→\n   193→    nudges.push({\n   194→      leadId: lead.id,\n   195→      name: [lead.first_name, lead.last_name].filter(Boolean).join(' ') || 'Unknown',\n   196→      email: lead.email,\n   197→      phone: lead.phone,\n   198→      stage: lead.stage || stage,\n   199→      nudge: result.success ? result.nudge : result.fallback,\n   200→      aiGenerated: result.success,\n   201→    });\n   202→  }\n   203→\n   204→  return nudges;\n   205→}\n   206→\n   207→/**\n   208→ * Suggest action to fix a blocker\n   209→ * @param {string} stage - The blocked stage\n   210→ * @param {string} leadType - 'worker' | 'contractor'\n   211→ * @returns {object} - Suggested actions\n   212→ */\n   213→async function suggestAction(stage, leadType) {\n   214→  if (!openai) {\n   215→    return {\n   216→      success: false,\n   217→      error: 'AI not configured',\n   218→      fallback: getFallbackAction(stage, leadType),\n   219→    };\n   220→  }\n   221→\n   222→  const prompt = `A user on RateRight (worker marketplace) is stuck at the \"${getStageLabel(stage)}\" stage.\n   223→\n   224→USER TYPE: ${leadType}\n   225→STAGE: ${stage}\n   226→\n   227→STAGE CONTEXT:\n   228→${getStageContext(stage, leadType)}\n   229→\n   230→Generate a call script/talking points for our sales team to help move this user forward.\n   231→\n   232→Respond with JSON:\n   233→{\n   234→  \"objective\": \"What we're trying to achieve on this call\",\n   235→  \"openingLine\": \"Natural way to start the conversation\",\n   236→  \"keyQuestions\": [\n   237→    \"Question to understand their blocker\"\n   238→  ],\n   239→  \"commonObjections\": [\n   240→    {\n   241→      \"objection\": \"What they might say\",\n   242→      \"response\": \"How to handle it\"\n   243→    }\n   244→  ],\n   245→  \"nextStepToOffer\": \"Specific next step to guide them to\",\n   246→  \"closingLine\": \"How to end the call with commitment\"\n   247→}`;\n   248→\n   249→  try {\n   250→    const response = await openai.chat.completions.create({\n   251→      model: MODELS.REASONING,\n   252→      messages: [{ role: 'user', content: prompt }],\n   253→      response_format: { type: 'json_object' },\n   254→      temperature: 0.7,\n   255→    });\n   256→\n   257→    const script = JSON.parse(response.choices[0].message.content);\n   258→    return { success: true, script };\n   259→  } catch (error) {\n   260→    logger.error('Action suggestion error', { error: error.message });\n   261→    return {\n   262→      success: false,\n   263→      error: error.message,\n   264→      fallback: getFallbackAction(stage, leadType),\n   265→    };\n   266→  }\n   267→}\n   268→\n   269→/**\n   270→ * Analyze why users drop off at a specific stage\n   271→ */\n   272→async function analyzeStageDropoff(stage, leadType, sampleLeads = []) {\n   273→  if (!openai) {\n   274→    return {\n   275→      success: false,\n   276→      error: 'AI not configured',\n   277→    };\n   278→  }\n   279→\n   280→  const leadSamples = sampleLeads.slice(0, 5).map(l => ({\n   281→    daysStuck: l.daysStuck,\n   282→    lastLogin: l.daysSinceLogin,\n   283→    healthScore: l.healthScore,\n   284→    diagnosis: l.diagnosis,\n   285→  }));\n   286→\n   287→  const prompt = `Analyze why ${leadType}s are dropping off at the \"${getStageLabel(stage)}\" stage on RateRight.\n   288→\n   289→SAMPLE DATA (${sampleLeads.length} stuck users):\n   290→${JSON.stringify(leadSamples, null, 2)}\n   291→\n   292→What they need to do to progress:\n   293→${getNextStepForStage(stage, leadType)}\n   294→\n   295→Analyze patterns and suggest:\n   296→1. Root cause of the dropoff\n   297→2. What might be confusing or hard\n   298→3. How to fix it (product changes or outreach)\n   299→\n   300→Respond with JSON:\n   301→{\n   302→  \"rootCause\": \"Most likely reason for the dropoff\",\n   303→  \"patterns\": [\n   304→    {\"pattern\": \"Observable pattern\", \"percentage\": 60}\n   305→  ],\n   306→  \"userExperience\": \"What the user is probably experiencing\",\n   307→  \"fixes\": [\n   308→    {\n   309→      \"type\": \"product|process|outreach\",\n   310→      \"suggestion\": \"What to change\",\n   311→      \"effort\": \"low|medium|high\",\n   312→      \"impact\": \"low|medium|high\"\n   313→    }\n   314→  ]\n   315→}`;\n   316→\n   317→  try {\n   318→    const response = await openai.chat.completions.create({\n   319→      model: MODELS.REASONING,\n   320→      messages: [{ role: 'user', content: prompt }],\n   321→      response_format: { type: 'json_object' },\n   322→      temperature: 0.6,\n   323→    });\n   324→\n   325→    const analysis = JSON.parse(response.choices[0].message.content);\n   326→    return { success: true, analysis };\n   327→  } catch (error) {\n   328→    logger.error('Stage dropoff analysis error', { error: error.message });\n   329→    return { success: false, error: error.message };\n   330→  }\n   331→}\n   332→\n   333→// ============================================================\n   334→// Helper Functions\n   335→// ============================================================\n   336→\n   337→function getNextStepForStage(stage, leadType) {\n   338→  const workerSteps = {\n   339→    signed_up: 'Complete their profile by adding their primary trade',\n   340→    profile_complete: 'Upload insurance documents or white card to become job-ready',\n   341→    job_ready: 'Apply to their first job',\n   342→    applied: 'Get accepted and start working',\n   343→    working: 'Complete their first job and get a review',\n   344→  };\n   345→\n   346→  const contractorSteps = {\n   347→    signed_up: 'Add their business name and ABN',\n   348→    profile_complete: 'Connect their Stripe account for payments',\n   349→    stripe_ready: 'Post their first job',\n   350→    job_posted: 'Accept a worker for their job',\n   351→    hired: 'Complete a job and leave a review',\n   352→  };\n   353→\n   354→  return leadType === 'worker'\n   355→    ? workerSteps[stage] || 'Progress to the next stage'\n   356→    : contractorSteps[stage] || 'Progress to the next stage';\n   357→}\n   358→\n   359→function getStageContext(stage, leadType) {\n   360→  const contexts = {\n   361→    // Worker stages\n   362→    signed_up: 'They created an account but haven\\'t filled out their profile yet.',\n   363→    profile_complete: 'They added their trade but don\\'t have insurance/white card uploaded.',\n   364→    job_ready: 'They have all documents but haven\\'t applied to any jobs yet.',\n   365→    applied: 'They\\'ve applied to jobs but haven\\'t been accepted yet.',\n   366→    working: 'They\\'re working but haven\\'t completed a job yet.',\n   367→    // Contractor stages\n   368→    stripe_ready: 'They set up payments but haven\\'t posted a job yet.',\n   369→    job_posted: 'They posted a job but haven\\'t hired anyone.',\n   370→    hired: 'They hired someone but the job isn\\'t complete yet.',\n   371→  };\n   372→\n   373→  return contexts[stage] || 'Standard activation stage';\n   374→}\n   375→\n   376→function generateFallbackNudge(lead, stage, diagnosis) {\n   377→  const firstName = lead.first_name || lead.name?.split(' ')[0] || 'there';\n   378→\n   379→  const templates = {\n   380→    forgot: {\n   381→      signed_up: `Hey ${firstName}! Still keen to get set up? Only takes 2 mins to complete your profile.`,\n   382→      profile_complete: `Hi ${firstName}, you're almost there! Just need to add your docs to start.`,\n   383→      job_ready: `${firstName}, jobs are waiting! Ready to apply to your first one?`,\n   384→      stripe_ready: `Hey ${firstName}, payments sorted - time to post your first job?`,\n   385→      job_posted: `Hi ${firstName}, your job's up! Need help finding the right worker?`,\n   386→    },\n   387→    avoiding: {\n   388→      signed_up: `Hi ${firstName}, stuck on something? Happy to help you get set up.`,\n   389→      profile_complete: `Hey ${firstName}, any questions about the docs? We can walk you through.`,\n   390→      job_ready: `${firstName}, not sure which jobs to go for? Let us know what you're looking for.`,\n   391→      stripe_ready: `Hi ${firstName}, Stripe giving you trouble? Common snag - we can help.`,\n   392→      job_posted: `Hey ${firstName}, need help picking from applicants? We've got tips.`,\n   393→    },\n   394→    unknown: {\n   395→      signed_up: `Hey ${firstName}! How can we help you get started?`,\n   396→      profile_complete: `Hi ${firstName}, just checking in. Anything we can help with?`,\n   397→      job_ready: `${firstName}, all set up! Ready to find work?`,\n   398→      stripe_ready: `Hey ${firstName}, you're all set! Time to post a job?`,\n   399→      job_posted: `Hi ${firstName}, how's it going? Need any help?`,\n   400→    },\n   401→  };\n   402→\n   403→  const diagnosisTemplates = templates[diagnosis] || templates.unknown;\n   404→  return {\n   405→    message: diagnosisTemplates[stage] || `Hi ${firstName}! Just checking in - how can we help?`,\n   406→    tone: diagnosis === 'forgot' ? 'friendly' : diagnosis === 'avoiding' ? 'helpful' : 'friendly',\n   407→    charCount: 100,\n   408→    callToAction: 'Reply with any questions',\n   409→    expectedResponse: 'Question or confirmation',\n   410→  };\n   411→}\n   412→\n   413→function generateFallbackBlockerAnalysis(funnelData) {\n   414→  const workerDropoff = funnelData.worker?.biggestDropoff;\n   415→  const contractorDropoff = funnelData.contractor?.biggestDropoff;\n   416→\n   417→  const primaryBlocker = workerDropoff?.dropPct > (contractorDropoff?.dropPct || 0)\n   418→    ? { ...workerDropoff, type: 'worker' }\n   419→    : contractorDropoff\n   420→      ? { ...contractorDropoff, type: 'contractor' }\n   421→      : null;\n   422→\n   423→  return {\n   424→    summary: 'Funnel analysis available - AI insights require OPENAI_API_KEY',\n   425→    primaryBlocker: primaryBlocker\n   426→      ? {\n   427→          stage: primaryBlocker.to,\n   428→          type: primaryBlocker.type,\n   429→          dropPct: primaryBlocker.dropPct,\n   430→          likelyReason: 'Manual review required',\n   431→        }\n   432→      : null,\n   433→    recommendations: [\n   434→      {\n   435→        priority: 1,\n   436→        action: 'Review biggest dropoff manually',\n   437→        targetStage: primaryBlocker?.to || 'unknown',\n   438→      },\n   439→    ],\n   440→    healthScore: 50,\n   441→  };\n   442→}\n   443→\n   444→function getFallbackAction(stage, leadType) {\n   445→  return {\n   446→    objective: `Help ${leadType} progress past ${getStageLabel(stage)}`,\n   447→    openingLine: `Hey, just checking in on your RateRight account. How's it going?`,\n   448→    keyQuestions: [\n   449→      'What\\'s holding you back from taking the next step?',\n   450→      'Is there anything confusing about the process?',\n   451→    ],\n   452→    commonObjections: [\n   453→      {\n   454→        objection: 'Too busy right now',\n   455→        response: 'Totally understand - it only takes 2 minutes. Want me to walk you through?',\n   456→      },\n   457→    ],\n   458→    nextStepToOffer: getNextStepForStage(stage, leadType),\n   459→    closingLine: 'Let me know if you have any questions!',\n   460→  };\n   461→}\n   462→\n   463→module.exports = {\n   464→  analyzeBlockers,\n   465→  generateNudge,\n   466→  generateBulkNudges,\n   467→  suggestAction,\n   468→  analyzeStageDropoff,\n   469→};\n   470→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d582dabc-71d1-402a-9ded-fbe0f834edab","timestamp":"2026-02-07T05:51:38.229Z","sourceToolAssistantUUID":"284749f3-d291-47cf-a9db-3837d5ddbf38"}
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{"parentUuid":"b8b2a9cd-379d-423d-ba7d-21e35a6b4ff2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BHwHbycGBYdxEDFRbAsX7i","type":"tool_result","content":"     1→/**\n     2→ * Challenges Service - Daily individual + team challenges\n     3→ * Part of Gamification Battleground (Priority #7)\n     4→ */\n     5→const { supabase } = require('../config/database');\n     6→const { createPulseEvent } = require('./leaderboardService');\n     7→\n     8→/**\n     9→ * Get today's date string in AEST timezone (YYYY-MM-DD format)\n    10→ * Used for challenge date tracking\n    11→ */\n    12→function getTodayDateAEST() {\n    13→  const AEST_OFFSET_MS = 10 * 60 * 60 * 1000;\n    14→  const now = new Date();\n    15→  const aestTime = new Date(now.getTime() + AEST_OFFSET_MS);\n    16→  return aestTime.toISOString().split('T')[0];\n    17→}\n    18→\n    19→// Challenge templates\n    20→const INDIVIDUAL_CHALLENGES = [\n    21→  { title: '5 calls before lunch', target: 5, type: 'calls_before_noon', xp: 30 },\n    22→  { title: 'Beat your daily average', target: 0, type: 'beat_average', xp: 40 },\n    23→  { title: 'Get 2 callbacks scheduled', target: 2, type: 'callbacks', xp: 35 },\n    24→  { title: 'First call before 9am', target: 1, type: 'early_call', xp: 25 },\n    25→  { title: 'Close a deal today', target: 1, type: 'conversion', xp: 50 },\n    26→  { title: 'Send 10 follow-up SMS', target: 10, type: 'sms_sent', xp: 25 },\n    27→  { title: '3 conversations (not voicemail)', target: 3, type: 'conversations', xp: 35 },\n    28→  { title: 'Use AI Copilot on 2 calls', target: 2, type: 'copilot_used', xp: 30 },\n    29→];\n    30→\n    31→const TEAM_CHALLENGES = [\n    32→  { title: 'Team 50 calls', target: 50, xp: 100, description: 'Everyone gets bonus when team hits 50 calls' },\n    33→  { title: 'Team 5 wins', target: 5, xp: 150, description: '5 conversions as a team' },\n    34→  { title: 'Full squad active', target: 10, xp: 75, description: 'All 10 team members make at least 1 call' },\n    35→  { title: 'Zero missed callbacks', target: 0, xp: 100, description: 'No overdue callbacks by EOD' },\n    36→];\n    37→\n    38→/**\n    39→ * Generate today's challenges for a user\n    40→ */\n    41→async function generateDailyChallenges(userId) {\n    42→  try {\n    43→    const today = getTodayDateAEST();\n    44→\n    45→    // Check if already generated\n    46→    const { data: existing } = await supabase\n    47→      .from('daily_challenges')\n    48→      .select('*')\n    49→      .eq('date', today)\n    50→      .eq('user_id', userId);\n    51→\n    52→    if (existing?.length > 0) {\n    53→      return existing;\n    54→    }\n    55→\n    56→    // Pick 2 random individual challenges\n    57→    const shuffled = [...INDIVIDUAL_CHALLENGES].sort(() => Math.random() - 0.5);\n    58→    const selected = shuffled.slice(0, 2);\n    59→\n    60→    // Get user's average for \"beat average\" challenge\n    61→    const weekAgo = new Date();\n    62→    weekAgo.setDate(weekAgo.getDate() - 7);\n    63→\n    64→    const { data: history } = await supabase\n    65→      .from('call_log')\n    66→      .select('id')\n    67→      .eq('user_id', userId)\n    68→      .gte('created_at', weekAgo.toISOString());\n    69→\n    70→    const avgCalls = Math.ceil((history?.length || 0) / 7);\n    71→\n    72→    // Create challenges\n    73→    const challenges = selected.map(c => ({\n    74→      date: today,\n    75→      challenge_type: 'individual',\n    76→      title: c.title,\n    77→      description: c.description || `Complete to earn ${c.xp} XP`,\n    78→      target_value: c.type === 'beat_average' ? Math.max(avgCalls + 1, 3) : c.target,\n    79→      bonus_xp: c.xp,\n    80→      user_id: userId,\n    81→    }));\n    82→\n    83→    const { data: created, error } = await supabase\n    84→      .from('daily_challenges')\n    85→      .insert(challenges)\n    86→      .select();\n    87→\n    88→    if (error) {\n    89→      // 23505 = duplicate key - challenges already exist (race condition), just fetch them\n    90→      if (error.code === '23505') {\n    91→        const { data: existing } = await supabase\n    92→          .from('daily_challenges')\n    93→          .select('*')\n    94→          .eq('date', today)\n    95→          .eq('user_id', userId);\n    96→        return existing || [];\n    97→      }\n    98→      console.error('generateDailyChallenges error:', error);\n    99→      return [];\n   100→    }\n   101→\n   102→    return created || [];\n   103→  } catch (error) {\n   104→    console.error('generateDailyChallenges error:', error);\n   105→    return [];\n   106→  }\n   107→}\n   108→\n   109→/**\n   110→ * Generate team challenge for today\n   111→ */\n   112→async function generateTeamChallenge() {\n   113→  try {\n   114→    const today = getTodayDateAEST();\n   115→\n   116→    const { data: existing } = await supabase\n   117→      .from('daily_challenges')\n   118→      .select('*')\n   119→      .eq('date', today)\n   120→      .eq('challenge_type', 'team')\n   121→      .is('user_id', null);\n   122→\n   123→    if (existing?.length > 0) {\n   124→      return existing[0];\n   125→    }\n   126→\n   127→    // Pick random team challenge\n   128→    const challenge = TEAM_CHALLENGES[Math.floor(Math.random() * TEAM_CHALLENGES.length)];\n   129→\n   130→    const { data: created, error } = await supabase\n   131→      .from('daily_challenges')\n   132→      .insert({\n   133→        date: today,\n   134→        challenge_type: 'team',\n   135→        title: challenge.title,\n   136→        description: challenge.description,\n   137→        target_value: challenge.target,\n   138→        bonus_xp: challenge.xp,\n   139→        user_id: null,\n   140→      })\n   141→      .select()\n   142→      .single();\n   143→\n   144→    if (error) {\n   145→      // 23505 = duplicate key - team challenge already exists (race condition), just fetch it\n   146→      if (error.code === '23505') {\n   147→        const { data: existing } = await supabase\n   148→          .from('daily_challenges')\n   149→          .select('*')\n   150→          .eq('date', today)\n   151→          .eq('challenge_type', 'team')\n   152→          .is('user_id', null)\n   153→          .single();\n   154→        return existing;\n   155→      }\n   156→      console.error('generateTeamChallenge error:', error);\n   157→      return null;\n   158→    }\n   159→\n   160→    return created;\n   161→  } catch (error) {\n   162→    console.error('generateTeamChallenge error:', error);\n   163→    return null;\n   164→  }\n   165→}\n   166→\n   167→/**\n   168→ * Update challenge progress\n   169→ */\n   170→async function updateChallengeProgress(userId, actionType, count = 1) {\n   171→  try {\n   172→    const today = getTodayDateAEST();\n   173→\n   174→    // Get user's challenges and team challenge\n   175→    const { data: challenges } = await supabase\n   176→      .from('daily_challenges')\n   177→      .select('*')\n   178→      .eq('date', today)\n   179→      .eq('completed', false)\n   180→      .or(`user_id.eq.${userId},user_id.is.null`);\n   181→\n   182→    const completed = [];\n   183→\n   184→    for (const challenge of challenges || []) {\n   185→      let shouldUpdate = false;\n   186→      let newValue = challenge.current_value || 0;\n   187→\n   188→      // Map action types to challenge types\n   189→      const titleLower = challenge.title.toLowerCase();\n   190→\n   191→      if (actionType === 'call') {\n   192→        if (titleLower.includes('call')) {\n   193→          shouldUpdate = true;\n   194→          newValue += count;\n   195→        }\n   196→        if (titleLower.includes('conversation') && !titleLower.includes('voicemail')) {\n   197→          // Check if it was a real conversation (not voicemail)\n   198→          shouldUpdate = true;\n   199→          newValue += count;\n   200→        }\n   201→      }\n   202→\n   203→      if (actionType === 'conversion') {\n   204→        if (titleLower.includes('close') || titleLower.includes('deal') || titleLower.includes('win')) {\n   205→          shouldUpdate = true;\n   206→          newValue += count;\n   207→        }\n   208→      }\n   209→\n   210→      if (actionType === 'callback_scheduled') {\n   211→        if (titleLower.includes('callback')) {\n   212→          shouldUpdate = true;\n   213→          newValue += count;\n   214→        }\n   215→      }\n   216→\n   217→      if (actionType === 'sms_sent') {\n   218→        if (titleLower.includes('sms') || titleLower.includes('follow-up')) {\n   219→          shouldUpdate = true;\n   220→          newValue += count;\n   221→        }\n   222→      }\n   223→\n   224→      if (actionType === 'copilot_used') {\n   225→        if (titleLower.includes('copilot') || titleLower.includes('ai')) {\n   226→          shouldUpdate = true;\n   227→          newValue += count;\n   228→        }\n   229→      }\n   230→\n   231→      if (actionType === 'early_call') {\n   232→        if (titleLower.includes('before 9am') || titleLower.includes('early')) {\n   233→          shouldUpdate = true;\n   234→          newValue += count;\n   235→        }\n   236→      }\n   237→\n   238→      if (shouldUpdate) {\n   239→        const isComplete = newValue >= challenge.target_value;\n   240→\n   241→        const { error: updateError } = await supabase\n   242→          .from('daily_challenges')\n   243→          .update({\n   244→            current_value: newValue,\n   245→            completed: isComplete,\n   246→            completed_at: isComplete ? new Date().toISOString() : null,\n   247→          })\n   248→          .eq('id', challenge.id);\n   249→\n   250→        if (updateError) {\n   251→          console.error('Challenge update error:', updateError);\n   252→          continue;\n   253→        }\n   254→\n   255→        if (isComplete) {\n   256→          completed.push(challenge);\n   257→\n   258→          // Award XP\n   259→          try {\n   260→            const xpService = require('./xpService');\n   261→            if (xpService && xpService.awardXP) {\n   262→              await xpService.awardXP(userId, 'challenge_complete', {\n   263→                customAmount: challenge.bonus_xp,\n   264→                reason: `Challenge: ${challenge.title}`,\n   265→              });\n   266→            }\n   267→          } catch (xpError) {\n   268→            console.error('XP award error:', xpError);\n   269→          }\n   270→\n   271→          // Get user name for pulse event\n   272→          const { data: user } = await supabase\n   273→            .from('user_xp')\n   274→            .select('display_name')\n   275→            .eq('user_id', userId)\n   276→            .single();\n   277→\n   278→          const userName = user?.display_name || 'Someone';\n   279→\n   280→          // Pulse event\n   281→          await createPulseEvent({\n   282→            event_type: 'challenge_complete',\n   283→            user_id: userId,\n   284→            user_name: userName,\n   285→            title: `${userName} completed: ${challenge.title}`,\n   286→            subtitle: `+${challenge.bonus_xp} XP`,\n   287→            emoji: '✅',\n   288→          });\n   289→        }\n   290→      }\n   291→    }\n   292→\n   293→    return { updated: true, completed };\n   294→  } catch (error) {\n   295→    console.error('updateChallengeProgress error:', error);\n   296→    return { updated: false, completed: [], error: error.message };\n   297→  }\n   298→}\n   299→\n   300→/**\n   301→ * Get today's challenges for a user\n   302→ */\n   303→async function getTodayChallenges(userId) {\n   304→  try {\n   305→    const today = getTodayDateAEST();\n   306→\n   307→    // Ensure challenges exist\n   308→    await generateDailyChallenges(userId);\n   309→    await generateTeamChallenge();\n   310→\n   311→    const { data, error } = await supabase\n   312→      .from('daily_challenges')\n   313→      .select('*')\n   314→      .eq('date', today)\n   315→      .or(`user_id.eq.${userId},user_id.is.null`);\n   316→\n   317→    if (error) {\n   318→      console.error('getTodayChallenges error:', error);\n   319→      return { individual: [], team: null };\n   320→    }\n   321→\n   322→    const individual = (data || []).filter(c => c.challenge_type === 'individual');\n   323→    const team = (data || []).find(c => c.challenge_type === 'team');\n   324→\n   325→    return { individual, team };\n   326→  } catch (error) {\n   327→    console.error('getTodayChallenges error:', error);\n   328→    return { individual: [], team: null };\n   329→  }\n   330→}\n   331→\n   332→/**\n   333→ * Update team challenge progress\n   334→ * Call this when any team member completes an action\n   335→ */\n   336→async function updateTeamChallengeProgress(actionType, count = 1) {\n   337→  try {\n   338→    const today = getTodayDateAEST();\n   339→\n   340→    const { data: teamChallenge } = await supabase\n   341→      .from('daily_challenges')\n   342→      .select('*')\n   343→      .eq('date', today)\n   344→      .eq('challenge_type', 'team')\n   345→      .is('user_id', null)\n   346→      .eq('completed', false)\n   347→      .single();\n   348→\n   349→    if (!teamChallenge) return { updated: false };\n   350→\n   351→    const titleLower = teamChallenge.title.toLowerCase();\n   352→    let shouldUpdate = false;\n   353→    let newValue = teamChallenge.current_value || 0;\n   354→\n   355→    if (actionType === 'call' && titleLower.includes('call')) {\n   356→      shouldUpdate = true;\n   357→      newValue += count;\n   358→    }\n   359→\n   360→    if (actionType === 'conversion' && titleLower.includes('win')) {\n   361→      shouldUpdate = true;\n   362→      newValue += count;\n   363→    }\n   364→\n   365→    if (shouldUpdate) {\n   366→      const isComplete = newValue >= teamChallenge.target_value;\n   367→\n   368→      await supabase\n   369→        .from('daily_challenges')\n   370→        .update({\n   371→          current_value: newValue,\n   372→          completed: isComplete,\n   373→          completed_at: isComplete ? new Date().toISOString() : null,\n   374→        })\n   375→        .eq('id', teamChallenge.id);\n   376→\n   377→      if (isComplete) {\n   378→        // Team challenge completed - award XP to all active users\n   379→        await createPulseEvent({\n   380→          event_type: 'team_challenge_complete',\n   381→          user_id: 'team',\n   382→          user_name: 'The Team',\n   383→          title: `Team challenge completed: ${teamChallenge.title}!`,\n   384→          subtitle: `Everyone gets +${teamChallenge.bonus_xp} XP`,\n   385→          emoji: '🎊',\n   386→        });\n   387→\n   388→        // Award bonus XP to all users who made calls today\n   389→        const { data: activeUsers } = await supabase\n   390→          .from('call_log')\n   391→          .select('user_id')\n   392→          .gte('created_at', new Date(today).toISOString());\n   393→\n   394→        const uniqueUsers = [...new Set((activeUsers || []).map(u => u.user_id))];\n   395→\n   396→        for (const uid of uniqueUsers) {\n   397→          try {\n   398→            const xpService = require('./xpService');\n   399→            if (xpService && xpService.awardXP) {\n   400→              await xpService.awardXP(uid, 'team_challenge_complete', {\n   401→                customAmount: teamChallenge.bonus_xp,\n   402→                reason: `Team Challenge: ${teamChallenge.title}`,\n   403→              });\n   404→            }\n   405→          } catch (e) {\n   406→            console.error('Team XP award error:', e);\n   407→          }\n   408→        }\n   409→      }\n   410→\n   411→      return { updated: true, completed: isComplete };\n   412→    }\n   413→\n   414→    return { updated: false };\n   415→  } catch (error) {\n   416→    console.error('updateTeamChallengeProgress error:', error);\n   417→    return { updated: false, error: error.message };\n   418→  }\n   419→}\n   420→\n   421→module.exports = {\n   422→  INDIVIDUAL_CHALLENGES,\n   423→  TEAM_CHALLENGES,\n   424→  generateDailyChallenges,\n   425→  generateTeamChallenge,\n   426→  updateChallengeProgress,\n   427→  getTodayChallenges,\n   428→  updateTeamChallengeProgress,\n   429→};\n   430→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"cf7f1fce-aac3-4210-9595-641700b09a4c","timestamp":"2026-02-07T05:51:38.630Z","sourceToolAssistantUUID":"b8b2a9cd-379d-423d-ba7d-21e35a6b4ff2"}
{"parentUuid":"cf7f1fce-aac3-4210-9595-641700b09a4c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01VQDPLnty2MdrHbqmV5SpZ8","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the next batch of files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":21905,"cache_read_input_tokens":16457,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":21905},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBoJrnxwHHg3dARzkTe","type":"assistant","uuid":"9dc78408-b56e-426f-bcc2-c32d5f667eea","timestamp":"2026-02-07T05:51:40.970Z"}
{"parentUuid":"9dc78408-b56e-426f-bcc2-c32d5f667eea","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01VQDPLnty2MdrHbqmV5SpZ8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018TUQwJUEmi79owhkBf8fEJ","name":"TodoWrite","input":{"todos":[{"content":"Audit batch 1: challengesServiceV2.js, aiCallScoring.js, activationAI.js, challengesService.js","status":"completed","activeForm":"Auditing batch 1: challengesServiceV2, aiCallScoring, activationAI, challengesService"},{"content":"Audit batch 2: badgesService.js, callListRanker.js, callAnalytics.js, promptManagement.js","status":"in_progress","activeForm":"Auditing batch 2: badgesService, callListRanker, callAnalytics, promptManagement"},{"content":"Audit batch 3: learning.js, duelsService.js, dealIntelligence.js, selfImprovement.js","status":"pending","activeForm":"Auditing batch 3: learning, duelsService, dealIntelligence, selfImprovement"},{"content":"Audit batch 4: platformSync.js, perplexity.js, repPerformance.js, compliance.js","status":"pending","activeForm":"Auditing batch 4: platformSync, perplexity, repPerformance, compliance"},{"content":"Audit batch 5: openai.js, criticalAlerts.js, leaderboardService.js, deepgram.js","status":"pending","activeForm":"Auditing batch 5: openai, criticalAlerts, leaderboardService, deepgram"},{"content":"Audit batch 6: scoring.js, pushNotifications.js, weeklyIntelligence.js","status":"pending","activeForm":"Auditing batch 6: scoring, pushNotifications, weeklyIntelligence"},{"content":"Audit batch 7: twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js","status":"pending","activeForm":"Auditing batch 7: twilioMedia, twilioMediaSetup, templates, slack"},{"content":"Audit batch 8: xpService.js, wisdom.js, stageDiagnosis.js, stageCalculator.js","status":"pending","activeForm":"Auditing batch 8: xpService, wisdom, stageDiagnosis, stageCalculator"},{"content":"Audit batch 9: twimlWithStream.js, qualityAudit.js, ai.js, notifications.js","status":"pending","activeForm":"Auditing batch 9: twimlWithStream, qualityAudit, ai, notifications"},{"content":"Audit batch 10: taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js","status":"pending","activeForm":"Auditing batch 10: taskExecutor, taskParser, exportService, webhookDelivery"},{"content":"Audit batch 11: enrichment.js, jobLocking.js, twilio.js, cache.js","status":"pending","activeForm":"Auditing batch 11: enrichment, jobLocking, twilio, cache"},{"content":"Compile comprehensive audit report","status":"pending","activeForm":"Compiling comprehensive audit report"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":21905,"cache_read_input_tokens":16457,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":21905},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBoJrnxwHHg3dARzkTe","type":"assistant","uuid":"e266b881-fb54-4ba6-a304-63c533589a8e","timestamp":"2026-02-07T05:51:51.153Z"}
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{"parentUuid":"db85aeed-532b-4885-ad17-1dd4c6724e1f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LAr8quePHPujy9dKDTz2Hy","toolUseID":"toolu_01LAr8quePHPujy9dKDTz2Hy","timestamp":"2026-02-07T05:51:53.872Z","uuid":"85a308ce-41e0-40ee-9504-25db6176dc5c"}
{"parentUuid":"db85aeed-532b-4885-ad17-1dd4c6724e1f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LAr8quePHPujy9dKDTz2Hy","type":"tool_result","content":"     1→/**\n     2→ * Badges Service - Weekly badge awards\n     3→ * Part of Gamification Battleground (Priority #7)\n     4→ */\n     5→const { supabase } = require('../config/database');\n     6→const { WEEKLY_BADGES, createPulseEvent } = require('./leaderboardService');\n     7→\n     8→/**\n     9→ * Calculate and award weekly badges (run every Friday 3pm AEST)\n    10→ */\n    11→async function awardWeeklyBadges() {\n    12→  try {\n    13→    const now = new Date();\n    14→    const weekStart = getWeekStart(now);\n    15→    const weekEnd = new Date(weekStart);\n    16→    weekEnd.setDate(weekEnd.getDate() + 6);\n    17→\n    18→    // Get all user stats for the week\n    19→    const { data: users, error: usersError } = await supabase\n    20→      .from('user_xp')\n    21→      .select('user_id, display_name');\n    22→\n    23→    if (usersError) {\n    24→      console.error('awardWeeklyBadges users error:', usersError);\n    25→      return { badges: [], error: usersError.message };\n    26→    }\n    27→\n    28→    const stats = await Promise.all(\n    29→      (users || []).map(async (user) => {\n    30→        const userId = user.user_id;\n    31→\n    32→        // Get call stats\n    33→        const { data: calls } = await supabase\n    34→          .from('call_log')\n    35→          .select('id, outcome, created_at')\n    36→          .eq('user_id', userId)\n    37→          .gte('created_at', weekStart.toISOString())\n    38→          .lte('created_at', weekEnd.toISOString());\n    39→\n    40→        const totalCalls = calls?.length || 0;\n    41→        const conversions = calls?.filter(c => c.outcome === 'converted' || c.outcome === 'won')?.length || 0;\n    42→        const conversionRate = totalCalls > 0 ? (conversions / totalCalls) * 100 : 0;\n    43→\n    44→        // Count early/late calls\n    45→        const earlyBirdCalls = calls?.filter(c => {\n    46→          const hour = new Date(c.created_at).getHours();\n    47→          return hour < 9;\n    48→        })?.length || 0;\n    49→\n    50→        const nightOwlCalls = calls?.filter(c => {\n    51→          const hour = new Date(c.created_at).getHours();\n    52→          return hour >= 17;\n    53→        })?.length || 0;\n    54→\n    55→        // Days active\n    56→        const activeDays = new Set(\n    57→          calls?.map(c => new Date(c.created_at).toDateString())\n    58→        ).size;\n    59→\n    60→        return {\n    61→          userId,\n    62→          name: user.display_name || 'Anonymous',\n    63→          calls: totalCalls,\n    64→          conversions,\n    65→          conversionRate,\n    66→          earlyBirdCalls,\n    67→          nightOwlCalls,\n    68→          daysActive: activeDays,\n    69→        };\n    70→      })\n    71→    );\n    72→\n    73→    // Award badges\n    74→    const badges = [];\n    75→\n    76→    // Closer - Most conversions\n    77→    const closerCandidates = [...stats].sort((a, b) => b.conversions - a.conversions);\n    78→    const closer = closerCandidates[0];\n    79→    if (closer?.conversions > 0) {\n    80→      badges.push({ ...WEEKLY_BADGES.CLOSER, winner: closer });\n    81→    }\n    82→\n    83→    // Dialer - Most calls\n    84→    const dialerCandidates = [...stats].sort((a, b) => b.calls - a.calls);\n    85→    const dialer = dialerCandidates[0];\n    86→    if (dialer?.calls > 0) {\n    87→      badges.push({ ...WEEKLY_BADGES.DIALER, winner: dialer });\n    88→    }\n    89→\n    90→    // Sniper - Highest conversion rate (min 5 calls)\n    91→    const sniperCandidates = stats\n    92→      .filter(s => s.calls >= 5)\n    93→      .sort((a, b) => b.conversionRate - a.conversionRate);\n    94→    const sniper = sniperCandidates[0];\n    95→    if (sniper) {\n    96→      badges.push({ ...WEEKLY_BADGES.SNIPER, winner: sniper });\n    97→    }\n    98→\n    99→    // Consistent - Didn't miss a day (5+ days active)\n   100→    const consistentCandidates = stats.filter(s => s.daysActive >= 5);\n   101→    const consistent = consistentCandidates[0];\n   102→    if (consistent) {\n   103→      badges.push({ ...WEEKLY_BADGES.CONSISTENT, winner: consistent });\n   104→    }\n   105→\n   106→    // Early Bird - Most calls before 9am\n   107→    const earlyBirdCandidates = [...stats].sort((a, b) => b.earlyBirdCalls - a.earlyBirdCalls);\n   108→    const earlyBird = earlyBirdCandidates[0];\n   109→    if (earlyBird?.earlyBirdCalls > 0) {\n   110→      badges.push({ ...WEEKLY_BADGES.EARLY_BIRD, winner: earlyBird });\n   111→    }\n   112→\n   113→    // Night Owl - Most calls after 5pm\n   114→    const nightOwlCandidates = [...stats].sort((a, b) => b.nightOwlCalls - a.nightOwlCalls);\n   115→    const nightOwl = nightOwlCandidates[0];\n   116→    if (nightOwl?.nightOwlCalls > 0) {\n   117→      badges.push({ ...WEEKLY_BADGES.NIGHT_OWL, winner: nightOwl });\n   118→    }\n   119→\n   120→    // Speed Demon - Fastest average SMS response time\n   121→    try {\n   122→      const { data: responseTimes } = await supabase\n   123→        .from('communications')\n   124→        .select('response_time_seconds, metadata')\n   125→        .eq('direction', 'outbound')\n   126→        .not('response_time_seconds', 'is', null)\n   127→        .gte('created_at', weekStart.toISOString())\n   128→        .lte('created_at', weekEnd.toISOString());\n   129→\n   130→      if (responseTimes && responseTimes.length > 0) {\n   131→        // Group by user (from metadata.user_id if available, or default)\n   132→        const userResponseTimes = {};\n   133→        for (const rt of responseTimes) {\n   134→          const userId = rt.metadata?.user_id || 'default-user';\n   135→          if (!userResponseTimes[userId]) {\n   136→            userResponseTimes[userId] = [];\n   137→          }\n   138→          userResponseTimes[userId].push(rt.response_time_seconds);\n   139→        }\n   140→\n   141→        // Calculate averages and find fastest (min 5 responses to qualify)\n   142→        const avgTimes = Object.entries(userResponseTimes)\n   143→          .filter(([, times]) => times.length >= 3) // Min 3 responses to qualify\n   144→          .map(([userId, times]) => ({\n   145→            userId,\n   146→            avgResponseTime: Math.floor(times.reduce((a, b) => a + b, 0) / times.length),\n   147→            responseCount: times.length\n   148→          }))\n   149→          .sort((a, b) => a.avgResponseTime - b.avgResponseTime);\n   150→\n   151→        if (avgTimes.length > 0) {\n   152→          const speedDemon = avgTimes[0];\n   153→          // Find user name\n   154→          const userStat = stats.find(s => s.userId === speedDemon.userId);\n   155→          if (userStat) {\n   156→            badges.push({\n   157→              ...WEEKLY_BADGES.SPEED_DEMON,\n   158→              winner: {\n   159→                ...userStat,\n   160→                avgResponseTime: speedDemon.avgResponseTime,\n   161→                responseCount: speedDemon.responseCount\n   162→              }\n   163→            });\n   164→          }\n   165→        }\n   166→      }\n   167→    } catch (speedDemonError) {\n   168→      console.warn('Speed Demon badge calculation failed:', speedDemonError.message);\n   169→    }\n   170→\n   171→    // Save badges to database\n   172→    for (const badge of badges) {\n   173→      const { error: badgeError } = await supabase\n   174→        .from('weekly_badges')\n   175→        .upsert({\n   176→          user_id: badge.winner.userId,\n   177→          badge_type: badge.id,\n   178→          week_start: weekStart.toISOString().split('T')[0],\n   179→          week_end: weekEnd.toISOString().split('T')[0],\n   180→          value: badge.winner[badge.stat] || badge.winner.calls || 0,\n   181→        });\n   182→\n   183→      if (badgeError) {\n   184→        console.error('Badge upsert error:', badgeError);\n   185→        continue;\n   186→      }\n   187→\n   188→      // Update user's current badges\n   189→      const { data: userData } = await supabase\n   190→        .from('user_xp')\n   191→        .select('current_badges')\n   192→        .eq('user_id', badge.winner.userId)\n   193→        .single();\n   194→\n   195→      const currentBadges = userData?.current_badges || [];\n   196→      if (!currentBadges.includes(badge.id)) {\n   197→        currentBadges.push(badge.id);\n   198→        await supabase\n   199→          .from('user_xp')\n   200→          .update({ current_badges: currentBadges })\n   201→          .eq('user_id', badge.winner.userId);\n   202→      }\n   203→\n   204→      // Pulse event\n   205→      await createPulseEvent({\n   206→        event_type: 'badge_awarded',\n   207→        user_id: badge.winner.userId,\n   208→        user_name: badge.winner.name,\n   209→        title: `${badge.emoji} ${badge.winner.name} earned \"${badge.name}\" badge!`,\n   210→        subtitle: `This week's ${badge.name}`,\n   211→        emoji: badge.emoji,\n   212→      });\n   213→    }\n   214→\n   215→    // Announce Player of the Week (highest XP)\n   216→    const { data: weeklyXP } = await supabase\n   217→      .from('xp_history')\n   218→      .select('user_id, amount')\n   219→      .gte('created_at', weekStart.toISOString());\n   220→\n   221→    const xpByUser = {};\n   222→    (weeklyXP || []).forEach(row => {\n   223→      xpByUser[row.user_id] = (xpByUser[row.user_id] || 0) + row.amount;\n   224→    });\n   225→\n   226→    const potwEntries = Object.entries(xpByUser).sort(([, a], [, b]) => b - a);\n   227→    const potw = potwEntries[0];\n   228→\n   229→    let playerOfWeek = null;\n   230→    if (potw) {\n   231→      const { data: potwUser } = await supabase\n   232→        .from('user_xp')\n   233→        .select('display_name')\n   234→        .eq('user_id', potw[0])\n   235→        .single();\n   236→\n   237→      playerOfWeek = {\n   238→        userId: potw[0],\n   239→        name: potwUser?.display_name || 'Anonymous',\n   240→        xp: potw[1],\n   241→      };\n   242→\n   243→      await createPulseEvent({\n   244→        event_type: 'player_of_week',\n   245→        user_id: potw[0],\n   246→        user_name: potwUser?.display_name || 'Anonymous',\n   247→        title: `PLAYER OF THE WEEK: ${potwUser?.display_name || 'Anonymous'}!`,\n   248→        subtitle: `${potw[1]} XP earned this week`,\n   249→        emoji: '👑',\n   250→      });\n   251→\n   252→      // Notify Slack\n   253→      try {\n   254→        const slackService = require('./slack');\n   255→        await slackService.sendNotification(\n   256→          `*PLAYER OF THE WEEK*\\n\\n*${potwUser?.display_name || 'Anonymous'}* crushed it with ${potw[1]} XP!`,\n   257→          '#sales-wins'\n   258→        );\n   259→      } catch (slackError) {\n   260→        console.error('Slack notification error:', slackError);\n   261→      }\n   262→    }\n   263→\n   264→    return { badges, playerOfWeek };\n   265→  } catch (error) {\n   266→    console.error('awardWeeklyBadges error:', error);\n   267→    return { badges: [], error: error.message };\n   268→  }\n   269→}\n   270→\n   271→/**\n   272→ * Get the start of the week (Monday)\n   273→ */\n   274→function getWeekStart(date) {\n   275→  const d = new Date(date);\n   276→  const day = d.getDay();\n   277→  const diff = d.getDate() - day + (day === 0 ? -6 : 1);\n   278→  return new Date(d.setDate(diff));\n   279→}\n   280→\n   281→/**\n   282→ * Get user's badges\n   283→ */\n   284→async function getUserBadges(userId) {\n   285→  try {\n   286→    const { data, error } = await supabase\n   287→      .from('weekly_badges')\n   288→      .select('*')\n   289→      .eq('user_id', userId)\n   290→      .order('week_start', { ascending: false });\n   291→\n   292→    if (error) {\n   293→      console.error('getUserBadges error:', error);\n   294→      return [];\n   295→    }\n   296→\n   297→    return data || [];\n   298→  } catch (error) {\n   299→    console.error('getUserBadges error:', error);\n   300→    return [];\n   301→  }\n   302→}\n   303→\n   304→/**\n   305→ * Get all badges for current week\n   306→ */\n   307→async function getCurrentWeekBadges() {\n   308→  try {\n   309→    const weekStart = getWeekStart(new Date());\n   310→\n   311→    const { data, error } = await supabase\n   312→      .from('weekly_badges')\n   313→      .select('*')\n   314→      .eq('week_start', weekStart.toISOString().split('T')[0]);\n   315→\n   316→    if (error) {\n   317→      console.error('getCurrentWeekBadges error:', error);\n   318→      return [];\n   319→    }\n   320→\n   321→    return data || [];\n   322→  } catch (error) {\n   323→    console.error('getCurrentWeekBadges error:', error);\n   324→    return [];\n   325→  }\n   326→}\n   327→\n   328→/**\n   329→ * Check if user has a specific badge type\n   330→ */\n   331→async function userHasBadge(userId, badgeType) {\n   332→  try {\n   333→    const { data } = await supabase\n   334→      .from('weekly_badges')\n   335→      .select('id')\n   336→      .eq('user_id', userId)\n   337→      .eq('badge_type', badgeType)\n   338→      .limit(1);\n   339→\n   340→    return data?.length > 0;\n   341→  } catch (error) {\n   342→    console.error('userHasBadge error:', error);\n   343→    return false;\n   344→  }\n   345→}\n   346→\n   347→module.exports = {\n   348→  awardWeeklyBadges,\n   349→  getUserBadges,\n   350→  getCurrentWeekBadges,\n   351→  userHasBadge,\n   352→  getWeekStart,\n   353→};\n   354→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"22e914fc-69f5-43be-8c7f-7d352a1e9cb3","timestamp":"2026-02-07T05:51:53.871Z","sourceToolAssistantUUID":"db85aeed-532b-4885-ad17-1dd4c6724e1f"}
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{"parentUuid":"3cec2374-e6d5-4aae-bbed-efeb30408701","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01G6HYXxkBMr9nkGErGPJVec","toolUseID":"toolu_01G6HYXxkBMr9nkGErGPJVec","timestamp":"2026-02-07T05:51:54.342Z","uuid":"3bacd245-07af-4286-9efa-2cf071179eb4"}
{"parentUuid":"3cec2374-e6d5-4aae-bbed-efeb30408701","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G6HYXxkBMr9nkGErGPJVec","type":"tool_result","content":"     1→/**\n     2→ * Call List Smart Ranker\n     3→ * Computes priority scores with explainable reasons\n     4→ *\n     5→ * Priority Score Formula (0-1000):\n     6→ *   urgency (35%) + intent (25%) + timing (20%) + pattern (15%) + base (5%)\n     7→ */\n     8→\n     9→const { supabase } = require('../config/database');\n    10→\n    11→// In-memory cache for ranking context (5-minute TTL)\n    12→let rankingContextCache = null;\n    13→let rankingContextCacheTime = 0;\n    14→const RANKING_CONTEXT_TTL = 5 * 60 * 1000; // 5 minutes\n    15→\n    16→// Weight configuration\n    17→const WEIGHTS = {\n    18→  urgency: 350,   // Max 350 points\n    19→  intent: 250,    // Max 250 points\n    20→  timing: 200,    // Max 200 points\n    21→  pattern: 150,   // Max 150 points\n    22→  base: 50        // Max 50 points\n    23→};\n    24→\n    25→// ============================================\n    26→// URGENCY SCORING (0-350 points)\n    27→// How urgent is action needed?\n    28→// ============================================\n    29→function computeUrgencyScore(lead, callbacks = []) {\n    30→  let score = 0;\n    31→  let reason = null;\n    32→  let warning = null;\n    33→\n    34→  const now = Date.now();\n    35→\n    36→  // Check for recent inbound activity\n    37→  if (lead.last_inbound_at) {\n    38→    const inboundTime = new Date(lead.last_inbound_at).getTime();\n    39→    const minutesAgo = Math.floor((now - inboundTime) / (1000 * 60));\n    40→    const hoursAgo = Math.floor(minutesAgo / 60);\n    41→\n    42→    if (lead.last_inbound_type === 'call_inbound') {\n    43→      // Inbound calls are high priority\n    44→      const callCount = lead.metadata?.inbound_call_count || 1;\n    45→      if (callCount >= 3) {\n    46→        score = 350;\n    47→        reason = `Called you ${callCount} times - wants you!`;\n    48→      } else if (callCount >= 2) {\n    49→        score = 320;\n    50→        reason = `Called you back twice - high intent!`;\n    51→      } else {\n    52→        score = 300;\n    53→        reason = `Called you back - respond now!`;\n    54→      }\n    55→    } else if (lead.last_inbound_type === 'sms_inbound') {\n    56→      // SMS recency scoring\n    57→      if (minutesAgo < 15) {\n    58→        score = 350;\n    59→        reason = `Replied ${minutesAgo} mins ago - strike now!`;\n    60→      } else if (minutesAgo < 60) {\n    61→        score = 300;\n    62→        reason = `Replied ${minutesAgo} mins ago - still hot`;\n    63→      } else if (hoursAgo < 4) {\n    64→        score = 250;\n    65→        reason = `Replied ${hoursAgo}hr${hoursAgo > 1 ? 's' : ''} ago - follow up`;\n    66→      } else if (hoursAgo < 24) {\n    67→        score = 150;\n    68→        reason = `Replied ${hoursAgo} hrs ago - needs response`;\n    69→      } else {\n    70→        score = 80;\n    71→        reason = `Replied ${Math.floor(hoursAgo / 24)} day${hoursAgo >= 48 ? 's' : ''} ago`;\n    72→      }\n    73→    }\n    74→  }\n    75→\n    76→  // Check for overdue/due callbacks\n    77→  // Note: callbacks are now pre-filtered by lead_id in rankLeadsForCallList for O(1) lookup\n    78→  if (callbacks.length > 0) {\n    79→    const leadCallbacks = callbacks;\n    80→    const urgentCallback = leadCallbacks.sort((a, b) =>\n    81→      new Date(a.scheduled_at) - new Date(b.scheduled_at)\n    82→    )[0];\n    83→\n    84→    const scheduledTime = new Date(urgentCallback.scheduled_at).getTime();\n    85→    const hoursOverdue = Math.floor((now - scheduledTime) / (1000 * 60 * 60));\n    86→\n    87→    if (hoursOverdue > 0 && hoursOverdue < 10000) {\n    88→      // Callback is overdue (sanity check: less than ~1 year)\n    89→      const callbackScore = Math.min(320, 250 + (hoursOverdue * 10));\n    90→      if (callbackScore > score) {\n    91→        score = callbackScore;\n    92→        reason = `Callback ${hoursOverdue}hr${hoursOverdue > 1 ? 's' : ''} overdue!`;\n    93→        warning = 'callback_overdue';\n    94→      }\n    95→    } else if (scheduledTime <= now + (24 * 60 * 60 * 1000)) {\n    96→      // Callback due today\n    97→      if (score < 200) {\n    98→        score = 200;\n    99→        reason = `Callback scheduled for today`;\n   100→      }\n   101→    }\n   102→  }\n   103→\n   104→  // Check for hot lead staleness\n   105→  if (lead.score >= 70 && lead.last_contact_at) {\n   106→    const lastContactTime = new Date(lead.last_contact_at).getTime();\n   107→    const hoursSinceContact = Math.floor((now - lastContactTime) / (1000 * 60 * 60));\n   108→\n   109→    if (hoursSinceContact >= 48) {\n   110→      // Critical staleness - boost urgency\n   111→      const stalenessScore = Math.min(350, 280 + (hoursSinceContact - 48) * 2);\n   112→      if (stalenessScore > score || !reason) {\n   113→        score = Math.max(score, stalenessScore);\n   114→        reason = `URGENT: Hot lead ${hoursSinceContact}hrs without contact!`;\n   115→        warning = 'stale_48hrs';\n   116→      } else if (!warning) {\n   117→        warning = 'stale_48hrs';\n   118→      }\n   119→    } else if (hoursSinceContact >= 24) {\n   120→      // Warning staleness\n   121→      if (score < 250) {\n   122→        score = 250;\n   123→        reason = `Hot lead going cold - ${hoursSinceContact}hrs stale`;\n   124→        warning = 'going_cold';\n   125→      } else if (!warning) {\n   126→        warning = 'going_cold';\n   127→      }\n   128→    }\n   129→  }\n   130→\n   131→  return { score, reason, warning };\n   132→}\n   133→\n   134→// ============================================\n   135→// INTENT SCORING (0-250 points)\n   136→// How interested are they?\n   137→// ============================================\n   138→function computeIntentScore(lead) {\n   139→  let score = 0;\n   140→  let reason = null;\n   141→\n   142→  // High intent flag (3+ inbound calls)\n   143→  if (lead.is_high_intent || lead.metadata?.is_high_intent) {\n   144→    score = 250;\n   145→    reason = `High intent - called you 3+ times`;\n   146→    return { score, reason };\n   147→  }\n   148→\n   149→  // Multiple inbound calls\n   150→  const inboundCallCount = lead.metadata?.inbound_call_count || 0;\n   151→  if (inboundCallCount >= 2) {\n   152→    score = 200;\n   153→    reason = `Called back ${inboundCallCount} times`;\n   154→    return { score, reason };\n   155→  }\n   156→\n   157→  // Check for recent buying signals (last 7 days)\n   158→  const buyingSignals = lead.metadata?.buying_signals || [];\n   159→  const now = Date.now();\n   160→  const sevenDaysAgo = now - (7 * 24 * 60 * 60 * 1000);\n   161→  const recentSignals = buyingSignals.filter(s => {\n   162→    const signalDate = new Date(s.detected_at).getTime();\n   163→    return signalDate > sevenDaysAgo;\n   164→  });\n   165→\n   166→  if (recentSignals.length > 0) {\n   167→    // Calculate buying signal bonus (max 150 points)\n   168→    const signalBonus = recentSignals.reduce((sum, s) => {\n   169→      const signalScore = s.type === 'high' ? 100 : s.type === 'medium' ? 50 : 20;\n   170→      return sum + signalScore;\n   171→    }, 0);\n   172→\n   173→    const cappedBonus = Math.min(150, signalBonus);\n   174→    score = Math.max(score, 100 + cappedBonus); // Base 100 + bonus up to 150 = max 250\n   175→\n   176→    // High buying signal = top priority\n   177→    const hasHighSignal = recentSignals.some(s => s.type === 'high');\n   178→    if (hasHighSignal) {\n   179→      score = 250;\n   180→      reason = `🔥 HIGH buying signal - ready to close!`;\n   181→      return { score, reason };\n   182→    }\n   183→\n   184→    // Medium signals\n   185→    const mediumCount = recentSignals.filter(s => s.type === 'medium').length;\n   186→    if (mediumCount >= 2) {\n   187→      score = Math.max(score, 200);\n   188→      reason = `🔥 ${mediumCount} buying signals - actively interested`;\n   189→    } else if (mediumCount === 1) {\n   190→      score = Math.max(score, 180);\n   191→      if (!reason) reason = `🔥 Buying signal detected - considering`;\n   192→    }\n   193→\n   194→    // Low signals (better than nothing)\n   195→    const lowCount = recentSignals.filter(s => s.type === 'low').length;\n   196→    if (lowCount > 0 && !reason) {\n   197→      score = Math.max(score, 120);\n   198→      reason = `🔥 ${lowCount} buying signal${lowCount > 1 ? 's' : ''} - curious`;\n   199→    }\n   200→  }\n   201→\n   202→  // Check last SMS intent\n   203→  if (lead.metadata?.last_sms_intent === 'positive' && score < 200) {\n   204→    score = Math.max(score, 200);\n   205→    if (!reason) reason = `Positive reply - interested`;\n   206→  } else if (lead.metadata?.last_sms_intent === 'question' && score < 150) {\n   207→    score = Math.max(score, 150);\n   208→    if (!reason) reason = `Asked a question - engaged`;\n   209→  }\n   210→\n   211→  // Platform activity bonuses\n   212→  if (lead.metadata?.recent_platform_activity) {\n   213→    const activity = lead.metadata.recent_platform_activity;\n   214→    if (activity === 'job_posted') {\n   215→      score = Math.max(score, 180);\n   216→      if (!reason) reason = `Posted a job on RateRight`;\n   217→    } else if (activity === 'login') {\n   218→      score = Math.max(score, 100);\n   219→      if (!reason) reason = `Active on platform`;\n   220→    }\n   221→  }\n   222→\n   223→  return { score, reason };\n   224→}\n   225→\n   226→// ============================================\n   227→// TIMING SCORING (0-200 points)\n   228→// Is now the right time to call?\n   229→// ============================================\n   230→function computeTimingScore(lead, context) {\n   231→  let score = 0;\n   232→  let reason = null;\n   233→\n   234→  const currentHour = context.currentHour;\n   235→  const currentDay = context.currentDay; // 0=Sun, 1=Mon, etc.\n   236→\n   237→  // Check if current hour matches best conversion hours\n   238→  if (context.bestHours && context.bestHours.length > 0) {\n   239→    if (context.bestHours[0] === currentHour) {\n   240→      score = 200;\n   241→      reason = `Best time to call - ${formatHour(currentHour)} slot!`;\n   242→    } else if (context.bestHours.includes(currentHour)) {\n   243→      score = 150;\n   244→      reason = `Good calling window - ${formatHour(currentHour)}`;\n   245→    }\n   246→  }\n   247→\n   248→  // Check if lead has personal best contact time\n   249→  if (lead.metadata?.best_contact_hour === currentHour) {\n   250→    score = Math.max(score, 180);\n   251→    reason = `${lead.first_name}'s best hour - ${formatHour(currentHour)}`;\n   252→  }\n   253→\n   254→  // Prime calling hours bonus\n   255→  if (score === 0) {\n   256→    if (currentHour >= 9 && currentHour <= 11) {\n   257→      score = 80;\n   258→      reason = `Morning calling window`;\n   259→    } else if (currentHour >= 14 && currentHour <= 16) {\n   260→      score = 80;\n   261→      reason = `Afternoon calling window`;\n   262→    }\n   263→  }\n   264→\n   265→  // Day of week matching\n   266→  if (lead.metadata?.best_contact_day === currentDay) {\n   267→    score = Math.min(200, score + 50);\n   268→  }\n   269→\n   270→  return { score, reason };\n   271→}\n   272→\n   273→// ============================================\n   274→// PATTERN SCORING (0-150 points)\n   275→// Does this match winning patterns?\n   276→// ============================================\n   277→function computePatternScore(lead, context) {\n   278→  let score = 0;\n   279→  let reason = null;\n   280→\n   281→  if (!context.winningPatterns || context.winningPatterns.length === 0) {\n   282→    return { score, reason };\n   283→  }\n   284→\n   285→  for (const pattern of context.winningPatterns) {\n   286→    if (pattern.pattern_type === 'trade' && pattern.criteria?.trade) {\n   287→      if (lead.trade === pattern.criteria.trade) {\n   288→        const rate = Math.round((pattern.conversion_rate || 0) * 100);\n   289→        score = 150;\n   290→        reason = `${lead.trade} converts ${rate}%`;\n   291→        break;\n   292→      }\n   293→    }\n   294→\n   295→    if (pattern.pattern_type === 'source' && pattern.criteria?.source) {\n   296→      if (lead.source === pattern.criteria.source) {\n   297→        score = Math.max(score, 100);\n   298→        if (!reason) reason = `${lead.source} leads convert well`;\n   299→      }\n   300→    }\n   301→  }\n   302→\n   303→  // Similar to recent conversion bonus\n   304→  if (context.recentConversions && context.recentConversions.length > 0) {\n   305→    const similar = context.recentConversions.find(c =>\n   306→      c.trade === lead.trade || c.source === lead.source\n   307→    );\n   308→    if (similar && score < 80) {\n   309→      score = 80;\n   310→      reason = `Similar to recent win`;\n   311→    }\n   312→  }\n   313→\n   314→  return { score, reason };\n   315→}\n   316→\n   317→// ============================================\n   318→// BASE SCORING (0-50 points)\n   319→// Underlying lead score\n   320→// ============================================\n   321→function computeBaseScore(lead) {\n   322→  const leadScore = lead.score || 0;\n   323→\n   324→  if (leadScore >= 90) return { score: 50, reason: null };\n   325→  if (leadScore >= 70) return { score: 40, reason: null };\n   326→  if (leadScore >= 50) return { score: 30, reason: null };\n   327→  if (leadScore >= 20) return { score: 15, reason: null };\n   328→  return { score: 5, reason: null };\n   329→}\n   330→\n   331→// ============================================\n   332→// MAIN PRIORITY COMPUTATION\n   333→// ============================================\n   334→async function computeLeadPriority(lead, context, callbacks = []) {\n   335→  // Compute all factor scores\n   336→  const urgency = computeUrgencyScore(lead, callbacks);\n   337→  const intent = computeIntentScore(lead);\n   338→  const timing = computeTimingScore(lead, context);\n   339→  const pattern = computePatternScore(lead, context);\n   340→  const base = computeBaseScore(lead);\n   341→\n   342→  // Calculate total score\n   343→  const totalScore = urgency.score + intent.score + timing.score + pattern.score + base.score;\n   344→\n   345→  // Determine primary reason (highest scoring factor with a reason)\n   346→  const factors = [\n   347→    { type: 'urgency', ...urgency },\n   348→    { type: 'intent', ...intent },\n   349→    { type: 'timing', ...timing },\n   350→    { type: 'pattern', ...pattern }\n   351→  ].filter(f => f.reason);\n   352→\n   353→  // Sort by score to find primary reason\n   354→  factors.sort((a, b) => b.score - a.score);\n   355→\n   356→  const primaryFactor = factors[0] || { type: 'score', reason: getScoreReason(lead.score) };\n   357→\n   358→  return {\n   359→    priority_score: Math.round(totalScore),\n   360→    priority_reason: primaryFactor.reason,\n   361→    priority_type: primaryFactor.type,\n   362→    priority_warning: urgency.warning,\n   363→    priority_factors: {\n   364→      urgency: urgency.score,\n   365→      intent: intent.score,\n   366→      timing: timing.score,\n   367→      pattern: pattern.score,\n   368→      base: base.score\n   369→    }\n   370→  };\n   371→}\n   372→\n   373→// ============================================\n   374→// BATCH PROCESSING\n   375→// ============================================\n   376→async function rankLeadsForCallList(leads, context, callbacks = []) {\n   377→  const rankedLeads = [];\n   378→\n   379→  // Build callback map for O(1) lookup instead of O(N) filter per lead\n   380→  const callbackMap = new Map();\n   381→  for (const cb of callbacks) {\n   382→    if (cb.status === 'pending' && cb.scheduled_at && new Date(cb.scheduled_at).getFullYear() >= 2000) {\n   383→      if (!callbackMap.has(cb.lead_id)) {\n   384→        callbackMap.set(cb.lead_id, []);\n   385→      }\n   386→      callbackMap.get(cb.lead_id).push(cb);\n   387→    }\n   388→  }\n   389→\n   390→  for (const lead of leads) {\n   391→    // Pass pre-filtered callbacks for this lead (O(1) lookup)\n   392→    const leadCallbacks = callbackMap.get(lead.id) || [];\n   393→    const priority = await computeLeadPriority(lead, context, leadCallbacks);\n   394→    rankedLeads.push({\n   395→      ...lead,\n   396→      ...priority\n   397→    });\n   398→  }\n   399→\n   400→  // Sort by priority score descending\n   401→  rankedLeads.sort((a, b) => b.priority_score - a.priority_score);\n   402→\n   403→  return rankedLeads;\n   404→}\n   405→\n   406→// ============================================\n   407→// CONTEXT BUILDER (with 5-minute caching)\n   408→// ============================================\n   409→async function buildRankingContext() {\n   410→  // Check cache first\n   411→  const now = Date.now();\n   412→  if (rankingContextCache && (now - rankingContextCacheTime) < RANKING_CONTEXT_TTL) {\n   413→    // Return cached context with fresh time values\n   414→    return {\n   415→      ...rankingContextCache,\n   416→      currentHour: new Date().getHours(),\n   417→      currentDay: new Date().getDay()\n   418→    };\n   419→  }\n   420→\n   421→  const context = {\n   422→    currentHour: new Date().getHours(),\n   423→    currentDay: new Date().getDay(),\n   424→    bestHours: [],\n   425→    winningPatterns: [],\n   426→    recentConversions: []\n   427→  };\n   428→\n   429→  if (!supabase) return context;\n   430→\n   431→  // Fetch winning patterns and recent conversions in parallel\n   432→  const sevenDaysAgo = new Date();\n   433→  sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);\n   434→\n   435→  const [patternsResult, conversionsResult] = await Promise.all([\n   436→    supabase\n   437→      .from('winning_patterns')\n   438→      .select('*')\n   439→      .eq('is_active', true),\n   440→    supabase\n   441→      .from('conversion_patterns')\n   442→      .select('lead_trade, lead_source, winning_channel')\n   443→      .gte('created_at', sevenDaysAgo.toISOString())\n   444→      .limit(10)\n   445→  ]);\n   446→\n   447→  const patterns = patternsResult.data;\n   448→  const conversions = conversionsResult.data;\n   449→\n   450→  if (patterns) {\n   451→    context.winningPatterns = patterns;\n   452→\n   453→    // Extract best hours from timing patterns\n   454→    const timingPattern = patterns.find(p => p.pattern_type === 'timing');\n   455→    if (timingPattern?.criteria?.hours) {\n   456→      context.bestHours = timingPattern.criteria.hours;\n   457→    }\n   458→  }\n   459→\n   460→  if (conversions) {\n   461→    context.recentConversions = conversions.map(c => ({\n   462→      trade: c.lead_trade,\n   463→      source: c.lead_source,\n   464→      channel: c.winning_channel\n   465→    }));\n   466→  }\n   467→\n   468→  // Update cache\n   469→  rankingContextCache = context;\n   470→  rankingContextCacheTime = now;\n   471→\n   472→  return context;\n   473→}\n   474→\n   475→// ============================================\n   476→// UPDATE SINGLE LEAD PRIORITY\n   477→// (Called on events like SMS inbound)\n   478→// ============================================\n   479→async function refreshLeadPriority(leadId) {\n   480→  if (!supabase) return { success: false, error: 'Database not configured' };\n   481→\n   482→  try {\n   483→    // Fetch lead\n   484→    const { data: lead, error: leadError } = await supabase\n   485→      .from('leads')\n   486→      .select('*')\n   487→      .eq('id', leadId)\n   488→      .single();\n   489→\n   490→    if (leadError || !lead) {\n   491→      return { success: false, error: 'Lead not found' };\n   492→    }\n   493→\n   494→    // Fetch callbacks for this lead\n   495→    const { data: callbacks } = await supabase\n   496→      .from('callbacks')\n   497→      .select('*')\n   498→      .eq('lead_id', leadId)\n   499→      .eq('status', 'pending');\n   500→\n   501→    // Build context\n   502→    const context = await buildRankingContext();\n   503→\n   504→    // Compute priority\n   505→    const priority = await computeLeadPriority(lead, context, callbacks || []);\n   506→\n   507→    // Update lead\n   508→    const { error: updateError } = await supabase\n   509→      .from('leads')\n   510→      .update({\n   511→        call_list_score: priority.priority_score,\n   512→        call_list_reason: priority.priority_reason,\n   513→        call_list_reason_type: priority.priority_type,\n   514→        call_list_warning: priority.priority_warning,\n   515→        call_list_updated_at: new Date().toISOString()\n   516→      })\n   517→      .eq('id', leadId);\n   518→\n   519→    if (updateError) {\n   520→      return { success: false, error: updateError.message };\n   521→    }\n   522→\n   523→    return { success: true, priority };\n   524→  } catch (error) {\n   525→    console.error('[CallListRanker] Error refreshing lead priority:', error);\n   526→    return { success: false, error: error.message };\n   527→  }\n   528→}\n   529→\n   530→// ============================================\n   531→// HELPERS\n   532→// ============================================\n   533→function formatHour(hour) {\n   534→  if (hour === 0) return '12am';\n   535→  if (hour < 12) return `${hour}am`;\n   536→  if (hour === 12) return '12pm';\n   537→  return `${hour - 12}pm`;\n   538→}\n   539→\n   540→function getScoreReason(score) {\n   541→  if (score >= 90) return 'Very hot lead';\n   542→  if (score >= 70) return 'Hot lead';\n   543→  if (score >= 50) return 'Warm lead';\n   544→  if (score >= 20) return 'Cool lead';\n   545→  return 'Follow-up needed';\n   546→}\n   547→\n   548→module.exports = {\n   549→  computeLeadPriority,\n   550→  rankLeadsForCallList,\n   551→  buildRankingContext,\n   552→  refreshLeadPriority,\n   553→  computeUrgencyScore,\n   554→  computeIntentScore,\n   555→  computeTimingScore,\n   556→  computePatternScore,\n   557→  computeBaseScore\n   558→};\n   559→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"7dbc26f8-6880-4016-8150-e86f731b14ce","timestamp":"2026-02-07T05:51:54.341Z","sourceToolAssistantUUID":"3cec2374-e6d5-4aae-bbed-efeb30408701"}
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{"parentUuid":"da100669-cd28-435c-ae21-f644aef380e5","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NsPESyefhiGw4BDPZXDU2r","type":"tool_result","content":"     1→/**\n     2→ * Call Analytics Service\n     3→ * Advanced call quality metrics: talk ratio, filler words, questions, sentiment\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→\n     8→// Use admin client for tables with RLS\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→// Filler words to detect\n    12→const FILLER_WORDS = [\n    13→  'um', 'uh', 'like', 'you know', 'basically', 'actually',\n    14→  'literally', 'sort of', 'kind of', 'i mean', 'right',\n    15→  'so', 'well', 'anyway', 'whatever'\n    16→];\n    17→\n    18→// Open question starters\n    19→const OPEN_QUESTION_STARTERS = [\n    20→  'what', 'why', 'how', 'tell me', 'describe', 'explain',\n    21→  'can you tell', 'could you describe', 'what do you think'\n    22→];\n    23→\n    24→/**\n    25→ * Analyze a call and store metrics\n    26→ */\n    27→async function analyzeCall(data) {\n    28→  const {\n    29→    communicationId,\n    30→    leadId,\n    31→    userId,\n    32→    transcript,\n    33→    transcriptWords = [],\n    34→    durationSeconds = 0\n    35→  } = data;\n    36→\n    37→  try {\n    38→    // Calculate all metrics\n    39→    const talkRatio = calculateTalkRatio(transcriptWords);\n    40→    const monologues = detectMonologues(transcriptWords);\n    41→    const fillerAnalysis = countFillerWords(transcriptWords, transcript);\n    42→    const questionAnalysis = analyzeQuestions(transcriptWords, transcript);\n    43→    const paceAnalysis = calculatePace(transcriptWords, durationSeconds);\n    44→    const sentimentAnalysis = analyzeSentiment(transcriptWords, transcript);\n    45→\n    46→    // Calculate quality score\n    47→    const qualityScore = calculateQualityScore({\n    48→      talkRatio,\n    49→      monologues,\n    50→      fillerAnalysis,\n    51→      questionAnalysis,\n    52→      sentimentAnalysis,\n    53→      durationSeconds\n    54→    });\n    55→\n    56→    // Generate coaching points\n    57→    const coachingPoints = generateCoachingPoints({\n    58→      talkRatio,\n    59→      monologues,\n    60→      fillerAnalysis,\n    61→      questionAnalysis,\n    62→      qualityScore\n    63→    });\n    64→\n    65→    // Build analytics record\n    66→    const analyticsRecord = {\n    67→      communication_id: communicationId,\n    68→      lead_id: leadId,\n    69→      user_id: userId,\n    70→\n    71→      agent_talk_time_seconds: talkRatio.agentTime,\n    72→      caller_talk_time_seconds: talkRatio.callerTime,\n    73→      talk_listen_ratio: talkRatio.ratio,\n    74→\n    75→      longest_agent_monologue_seconds: monologues.longestSeconds,\n    76→      monologue_count: monologues.count,\n    77→\n    78→      filler_word_count: fillerAnalysis.total,\n    79→      filler_words_per_minute: fillerAnalysis.perMinute,\n    80→      filler_word_breakdown: fillerAnalysis.breakdown,\n    81→\n    82→      agent_questions: questionAnalysis.agentTotal,\n    83→      caller_questions: questionAnalysis.callerTotal,\n    84→      open_questions: questionAnalysis.openQuestions,\n    85→      closed_questions: questionAnalysis.closedQuestions,\n    86→\n    87→      sentiment_timeline: sentimentAnalysis.timeline,\n    88→      sentiment_trend: sentimentAnalysis.trend,\n    89→      overall_sentiment_score: sentimentAnalysis.overall,\n    90→\n    91→      agent_words_per_minute: paceAnalysis.agentWPM,\n    92→      caller_words_per_minute: paceAnalysis.callerWPM,\n    93→      total_word_count: paceAnalysis.totalWords,\n    94→\n    95→      call_quality_score: qualityScore.total,\n    96→      quality_breakdown: qualityScore.breakdown,\n    97→      coaching_points: coachingPoints,\n    98→\n    99→      transcript_words: transcriptWords.length > 0 ? transcriptWords : null,\n   100→      call_duration_seconds: durationSeconds\n   101→    };\n   102→\n   103→    // Upsert analytics record\n   104→    const { data: analytics, error } = await db\n   105→      .from('call_analytics')\n   106→      .upsert(analyticsRecord, { onConflict: 'communication_id' })\n   107→      .select()\n   108→      .single();\n   109→\n   110→    if (error) {\n   111→      console.error('Error saving call analytics:', error);\n   112→      return { success: false, error: error.message };\n   113→    }\n   114→\n   115→    // Create coaching alerts if needed\n   116→    await createCoachingAlerts(analytics, { talkRatio, monologues, fillerAnalysis, questionAnalysis });\n   117→\n   118→    console.log(`Call analytics saved for communication ${communicationId}:`, {\n   119→      qualityScore: qualityScore.total,\n   120→      talkRatio: talkRatio.ratio,\n   121→      fillerWords: fillerAnalysis.total,\n   122→      questions: questionAnalysis.agentTotal\n   123→    });\n   124→\n   125→    return { success: true, analytics };\n   126→  } catch (error) {\n   127→    console.error('Error in analyzeCall:', error);\n   128→    return { success: false, error: error.message };\n   129→  }\n   130→}\n   131→\n   132→/**\n   133→ * Calculate talk/listen ratio from word-level data\n   134→ */\n   135→function calculateTalkRatio(words) {\n   136→  if (!words || words.length === 0) {\n   137→    return { agentTime: 0, callerTime: 0, ratio: 0.5 };\n   138→  }\n   139→\n   140→  let agentTime = 0;\n   141→  let callerTime = 0;\n   142→\n   143→  words.forEach(w => {\n   144→    const duration = (w.end || 0) - (w.start || 0);\n   145→    if (w.speaker === 'agent') {\n   146→      agentTime += duration;\n   147→    } else {\n   148→      callerTime += duration;\n   149→    }\n   150→  });\n   151→\n   152→  const total = agentTime + callerTime || 1;\n   153→  const ratio = parseFloat((agentTime / total).toFixed(3));\n   154→\n   155→  return {\n   156→    agentTime: Math.round(agentTime),\n   157→    callerTime: Math.round(callerTime),\n   158→    ratio\n   159→  };\n   160→}\n   161→\n   162→/**\n   163→ * Detect monologues (>60s of continuous talking)\n   164→ */\n   165→function detectMonologues(words) {\n   166→  if (!words || words.length === 0) {\n   167→    return { count: 0, longestSeconds: 0, monologues: [] };\n   168→  }\n   169→\n   170→  const monologues = [];\n   171→  let currentSpeaker = null;\n   172→  let currentStart = null;\n   173→  let currentDuration = 0;\n   174→\n   175→  words.forEach((w, idx) => {\n   176→    if (w.speaker !== currentSpeaker) {\n   177→      // Speaker changed - check if previous was a monologue\n   178→      if (currentSpeaker === 'agent' && currentDuration > 60) {\n   179→        monologues.push({\n   180→          start: currentStart,\n   181→          duration: currentDuration,\n   182→          speaker: currentSpeaker\n   183→        });\n   184→      }\n   185→      currentSpeaker = w.speaker;\n   186→      currentStart = w.start;\n   187→      currentDuration = 0;\n   188→    }\n   189→    currentDuration += (w.end || 0) - (w.start || 0);\n   190→  });\n   191→\n   192→  // Check final segment\n   193→  if (currentSpeaker === 'agent' && currentDuration > 60) {\n   194→    monologues.push({\n   195→      start: currentStart,\n   196→      duration: currentDuration,\n   197→      speaker: currentSpeaker\n   198→    });\n   199→  }\n   200→\n   201→  const longestSeconds = monologues.length > 0\n   202→    ? Math.round(Math.max(...monologues.map(m => m.duration)))\n   203→    : 0;\n   204→\n   205→  return {\n   206→    count: monologues.length,\n   207→    longestSeconds,\n   208→    monologues\n   209→  };\n   210→}\n   211→\n   212→/**\n   213→ * Count filler words in transcript\n   214→ */\n   215→function countFillerWords(words, transcript = '') {\n   216→  const breakdown = {};\n   217→  let total = 0;\n   218→\n   219→  // Use full transcript text for pattern matching\n   220→  const text = transcript.toLowerCase() || words.map(w => w.word).join(' ').toLowerCase();\n   221→\n   222→  FILLER_WORDS.forEach(filler => {\n   223→    const regex = new RegExp(`\\\\b${filler}\\\\b`, 'gi');\n   224→    const matches = text.match(regex);\n   225→    const count = matches ? matches.length : 0;\n   226→    if (count > 0) {\n   227→      breakdown[filler] = count;\n   228→      total += count;\n   229→    }\n   230→  });\n   231→\n   232→  // Calculate words per minute\n   233→  const wordCount = words.length || text.split(/\\s+/).length;\n   234→  const durationMinutes = words.length > 0\n   235→    ? (words[words.length - 1]?.end || 0) / 60\n   236→    : wordCount / 150; // Assume 150 WPM if no timing\n   237→\n   238→  const perMinute = durationMinutes > 0\n   239→    ? parseFloat((total / durationMinutes).toFixed(2))\n   240→    : 0;\n   241→\n   242→  return { total, breakdown, perMinute };\n   243→}\n   244→\n   245→/**\n   246→ * Analyze questions asked\n   247→ */\n   248→function analyzeQuestions(words, transcript = '') {\n   249→  const text = transcript || words.map(w => w.word).join(' ');\n   250→  const sentences = text.split(/[.!?]+/).filter(s => s.trim());\n   251→\n   252→  let agentTotal = 0;\n   253→  let callerTotal = 0;\n   254→  let openQuestions = 0;\n   255→  let closedQuestions = 0;\n   256→\n   257→  // Simple heuristic: questions end with ?\n   258→  const questions = text.match(/[^.!?]*\\?/g) || [];\n   259→\n   260→  questions.forEach(q => {\n   261→    const questionLower = q.toLowerCase().trim();\n   262→\n   263→    // Check if it's an open question\n   264→    const isOpen = OPEN_QUESTION_STARTERS.some(starter =>\n   265→      questionLower.startsWith(starter) || questionLower.includes(starter)\n   266→    );\n   267→\n   268→    if (isOpen) {\n   269→      openQuestions++;\n   270→    } else {\n   271→      closedQuestions++;\n   272→    }\n   273→\n   274→    // Assume agent asks most questions (can be refined with speaker detection)\n   275→    agentTotal++;\n   276→  });\n   277→\n   278→  return {\n   279→    agentTotal,\n   280→    callerTotal,\n   281→    openQuestions,\n   282→    closedQuestions,\n   283→    totalQuestions: questions.length\n   284→  };\n   285→}\n   286→\n   287→/**\n   288→ * Calculate speaking pace\n   289→ */\n   290→function calculatePace(words, durationSeconds) {\n   291→  if (!words || words.length === 0) {\n   292→    return { agentWPM: 0, callerWPM: 0, totalWords: 0 };\n   293→  }\n   294→\n   295→  const agentWords = words.filter(w => w.speaker === 'agent');\n   296→  const callerWords = words.filter(w => w.speaker === 'caller');\n   297→\n   298→  const duration = durationSeconds || (words[words.length - 1]?.end || 60);\n   299→  const minutes = duration / 60 || 1;\n   300→\n   301→  return {\n   302→    agentWPM: Math.round(agentWords.length / minutes),\n   303→    callerWPM: Math.round(callerWords.length / minutes),\n   304→    totalWords: words.length\n   305→  };\n   306→}\n   307→\n   308→/**\n   309→ * Analyze sentiment from transcript\n   310→ */\n   311→function analyzeSentiment(words, transcript = '') {\n   312→  // Simple keyword-based sentiment analysis\n   313→  const positiveWords = ['great', 'excellent', 'perfect', 'love', 'amazing', 'happy', 'interested', 'yes', 'definitely', 'sounds good'];\n   314→  const negativeWords = ['no', 'not', 'never', 'problem', 'issue', 'expensive', 'too much', 'can\\'t', 'won\\'t', 'don\\'t'];\n   315→\n   316→  const text = (transcript || words.map(w => w.word).join(' ')).toLowerCase();\n   317→\n   318→  let positiveCount = 0;\n   319→  let negativeCount = 0;\n   320→\n   321→  positiveWords.forEach(word => {\n   322→    const matches = text.match(new RegExp(`\\\\b${word}\\\\b`, 'gi'));\n   323→    if (matches) positiveCount += matches.length;\n   324→  });\n   325→\n   326→  negativeWords.forEach(word => {\n   327→    const matches = text.match(new RegExp(`\\\\b${word}\\\\b`, 'gi'));\n   328→    if (matches) negativeCount += matches.length;\n   329→  });\n   330→\n   331→  const total = positiveCount + negativeCount || 1;\n   332→  const overall = parseFloat((positiveCount / total).toFixed(2));\n   333→\n   334→  // Simple timeline - split text into thirds and analyze each\n   335→  const thirds = text.length > 0 ? [\n   336→    text.slice(0, text.length / 3),\n   337→    text.slice(text.length / 3, 2 * text.length / 3),\n   338→    text.slice(2 * text.length / 3)\n   339→  ] : [];\n   340→\n   341→  const timeline = thirds.map((segment, idx) => {\n   342→    let pos = 0, neg = 0;\n   343→    positiveWords.forEach(w => { if (segment.includes(w)) pos++; });\n   344→    negativeWords.forEach(w => { if (segment.includes(w)) neg++; });\n   345→    const score = (pos + neg) > 0 ? pos / (pos + neg) : 0.5;\n   346→    return {\n   347→      segment: idx + 1,\n   348→      sentiment: score > 0.6 ? 'positive' : score < 0.4 ? 'negative' : 'neutral',\n   349→      score: parseFloat(score.toFixed(2))\n   350→    };\n   351→  });\n   352→\n   353→  // Determine trend\n   354→  let trend = 'stable';\n   355→  if (timeline.length >= 2) {\n   356→    const first = timeline[0]?.score || 0.5;\n   357→    const last = timeline[timeline.length - 1]?.score || 0.5;\n   358→    if (last - first > 0.2) trend = 'improving';\n   359→    else if (first - last > 0.2) trend = 'declining';\n   360→  }\n   361→\n   362→  return { overall, timeline, trend };\n   363→}\n   364→\n   365→/**\n   366→ * Calculate overall quality score (0-100)\n   367→ */\n   368→function calculateQualityScore(metrics) {\n   369→  const { talkRatio, monologues, fillerAnalysis, questionAnalysis, sentimentAnalysis, durationSeconds } = metrics;\n   370→\n   371→  const breakdown = {};\n   372→\n   373→  // Talk ratio: optimal is 35-45% agent (25 points)\n   374→  const ratio = talkRatio.ratio;\n   375→  if (ratio >= 0.35 && ratio <= 0.45) {\n   376→    breakdown.talk_ratio = 25;\n   377→  } else if (ratio >= 0.30 && ratio <= 0.55) {\n   378→    breakdown.talk_ratio = 20;\n   379→  } else if (ratio >= 0.25 && ratio <= 0.60) {\n   380→    breakdown.talk_ratio = 15;\n   381→  } else {\n   382→    breakdown.talk_ratio = Math.max(0, 10 - Math.abs(ratio - 0.4) * 50);\n   383→  }\n   384→\n   385→  // Filler words: fewer is better (15 points)\n   386→  const fillerPerMin = fillerAnalysis.perMinute || 0;\n   387→  if (fillerPerMin <= 2) {\n   388→    breakdown.filler = 15;\n   389→  } else if (fillerPerMin <= 5) {\n   390→    breakdown.filler = 12;\n   391→  } else if (fillerPerMin <= 8) {\n   392→    breakdown.filler = 8;\n   393→  } else {\n   394→    breakdown.filler = Math.max(0, 5 - fillerPerMin);\n   395→  }\n   396→\n   397→  // Questions: 4-8 questions per 10 min is optimal (20 points)\n   398→  const questionsNormalized = durationSeconds > 0\n   399→    ? (questionAnalysis.agentTotal / durationSeconds) * 600 // per 10 min\n   400→    : questionAnalysis.agentTotal;\n   401→  if (questionsNormalized >= 4 && questionsNormalized <= 8) {\n   402→    breakdown.questions = 20;\n   403→  } else if (questionsNormalized >= 2 && questionsNormalized <= 12) {\n   404→    breakdown.questions = 15;\n   405→  } else if (questionsNormalized >= 1) {\n   406→    breakdown.questions = 10;\n   407→  } else {\n   408→    breakdown.questions = 5;\n   409→  }\n   410→\n   411→  // Open questions bonus (5 points)\n   412→  const openRatio = questionAnalysis.totalQuestions > 0\n   413→    ? questionAnalysis.openQuestions / questionAnalysis.totalQuestions\n   414→    : 0;\n   415→  breakdown.open_questions = Math.round(openRatio * 5);\n   416→\n   417→  // Monologues: fewer is better (15 points)\n   418→  if (monologues.count === 0) {\n   419→    breakdown.monologues = 15;\n   420→  } else if (monologues.count === 1 && monologues.longestSeconds < 90) {\n   421→    breakdown.monologues = 12;\n   422→  } else if (monologues.count <= 2) {\n   423→    breakdown.monologues = 8;\n   424→  } else {\n   425→    breakdown.monologues = Math.max(0, 5 - monologues.count);\n   426→  }\n   427→\n   428→  // Sentiment: improving or positive is better (20 points)\n   429→  if (sentimentAnalysis.trend === 'improving') {\n   430→    breakdown.sentiment = 20;\n   431→  } else if (sentimentAnalysis.trend === 'stable' && sentimentAnalysis.overall >= 0.5) {\n   432→    breakdown.sentiment = 15;\n   433→  } else if (sentimentAnalysis.trend === 'stable') {\n   434→    breakdown.sentiment = 10;\n   435→  } else {\n   436→    breakdown.sentiment = 5;\n   437→  }\n   438→\n   439→  // Calculate total\n   440→  const total = Object.values(breakdown).reduce((sum, val) => sum + val, 0);\n   441→\n   442→  return {\n   443→    total: Math.min(100, Math.round(total)),\n   444→    breakdown\n   445→  };\n   446→}\n   447→\n   448→/**\n   449→ * Generate coaching points based on metrics\n   450→ */\n   451→function generateCoachingPoints(metrics) {\n   452→  const { talkRatio, monologues, fillerAnalysis, questionAnalysis, qualityScore } = metrics;\n   453→  const points = [];\n   454→\n   455→  // Talk ratio coaching\n   456→  if (talkRatio.ratio > 0.55) {\n   457→    points.push({\n   458→      area: 'talk_ratio',\n   459→      priority: 'high',\n   460→      message: 'You talked more than the customer. Try to listen more and let them explain their needs.',\n   461→      metric: `${Math.round(talkRatio.ratio * 100)}% talk time`\n   462→    });\n   463→  } else if (talkRatio.ratio < 0.25) {\n   464→    points.push({\n   465→      area: 'talk_ratio',\n   466→      priority: 'medium',\n   467→      message: 'You may not be sharing enough value. Make sure to explain benefits clearly.',\n   468→      metric: `${Math.round(talkRatio.ratio * 100)}% talk time`\n   469→    });\n   470→  }\n   471→\n   472→  // Monologue coaching\n   473→  if (monologues.count > 0) {\n   474→    points.push({\n   475→      area: 'monologues',\n   476→      priority: monologues.longestSeconds > 90 ? 'high' : 'medium',\n   477→      message: `You had ${monologues.count} long monologue(s). Break up your talking with questions to keep them engaged.`,\n   478→      metric: `Longest: ${monologues.longestSeconds}s`\n   479→    });\n   480→  }\n   481→\n   482→  // Filler word coaching\n   483→  if (fillerAnalysis.perMinute > 5) {\n   484→    const topFillers = Object.entries(fillerAnalysis.breakdown)\n   485→      .sort((a, b) => b[1] - a[1])\n   486→      .slice(0, 3)\n   487→      .map(([word]) => word)\n   488→      .join(', ');\n   489→\n   490→    points.push({\n   491→      area: 'filler_words',\n   492→      priority: fillerAnalysis.perMinute > 8 ? 'high' : 'medium',\n   493→      message: `You used ${fillerAnalysis.total} filler words. Most common: ${topFillers}. Practice pausing instead.`,\n   494→      metric: `${fillerAnalysis.perMinute}/min`\n   495→    });\n   496→  }\n   497→\n   498→  // Questions coaching\n   499→  if (questionAnalysis.agentTotal < 3) {\n   500→    points.push({\n   501→      area: 'questions',\n   502→      priority: 'high',\n   503→      message: 'Ask more questions to understand their needs. Aim for 4-8 questions per call.',\n   504→      metric: `Only ${questionAnalysis.agentTotal} questions asked`\n   505→    });\n   506→  }\n   507→\n   508→  // Open questions coaching\n   509→  if (questionAnalysis.totalQuestions > 2 && questionAnalysis.openQuestions < questionAnalysis.closedQuestions) {\n   510→    points.push({\n   511→      area: 'open_questions',\n   512→      priority: 'low',\n   513→      message: 'Try using more open questions (what, why, how) to get richer information.',\n   514→      metric: `${questionAnalysis.openQuestions} open vs ${questionAnalysis.closedQuestions} closed`\n   515→    });\n   516→  }\n   517→\n   518→  return points;\n   519→}\n   520→\n   521→/**\n   522→ * Create coaching alerts for calls that need review\n   523→ */\n   524→async function createCoachingAlerts(analytics, metrics) {\n   525→  const alerts = [];\n   526→  const { talkRatio, monologues, fillerAnalysis, questionAnalysis } = metrics;\n   527→\n   528→  // Low quality score alert\n   529→  if (analytics.call_quality_score < 50) {\n   530→    alerts.push({\n   531→      call_analytics_id: analytics.id,\n   532→      communication_id: analytics.communication_id,\n   533→      user_id: analytics.user_id,\n   534→      lead_id: analytics.lead_id,\n   535→      alert_type: 'low_quality',\n   536→      severity: analytics.call_quality_score < 30 ? 'high' : 'medium',\n   537→      message: `Call quality score is ${analytics.call_quality_score}/100. Review needed.`,\n   538→      metric_value: analytics.call_quality_score,\n   539→      threshold_value: 50\n   540→    });\n   541→  }\n   542→\n   543→  // Long monologue alert\n   544→  if (monologues.longestSeconds > 90) {\n   545→    alerts.push({\n   546→      call_analytics_id: analytics.id,\n   547→      communication_id: analytics.communication_id,\n   548→      user_id: analytics.user_id,\n   549→      lead_id: analytics.lead_id,\n   550→      alert_type: 'long_monologue',\n   551→      severity: monologues.longestSeconds > 120 ? 'high' : 'medium',\n   552→      message: `Longest monologue was ${monologues.longestSeconds} seconds. Coach on engagement.`,\n   553→      metric_value: monologues.longestSeconds,\n   554→      threshold_value: 90\n   555→    });\n   556→  }\n   557→\n   558→  // High filler words alert\n   559→  if (fillerAnalysis.perMinute > 8) {\n   560→    alerts.push({\n   561→      call_analytics_id: analytics.id,\n   562→      communication_id: analytics.communication_id,\n   563→      user_id: analytics.user_id,\n   564→      lead_id: analytics.lead_id,\n   565→      alert_type: 'filler_words',\n   566→      severity: fillerAnalysis.perMinute > 12 ? 'high' : 'medium',\n   567→      message: `${fillerAnalysis.perMinute} filler words per minute. Coach on confident delivery.`,\n   568→      metric_value: fillerAnalysis.perMinute,\n   569→      threshold_value: 8\n   570→    });\n   571→  }\n   572→\n   573→  // Few questions alert\n   574→  if (questionAnalysis.agentTotal < 2) {\n   575→    alerts.push({\n   576→      call_analytics_id: analytics.id,\n   577→      communication_id: analytics.communication_id,\n   578→      user_id: analytics.user_id,\n   579→      lead_id: analytics.lead_id,\n   580→      alert_type: 'few_questions',\n   581→      severity: 'medium',\n   582→      message: `Only ${questionAnalysis.agentTotal} questions asked. Coach on discovery.`,\n   583→      metric_value: questionAnalysis.agentTotal,\n   584→      threshold_value: 4\n   585→    });\n   586→  }\n   587→\n   588→  // Insert alerts if any\n   589→  if (alerts.length > 0) {\n   590→    const { error } = await db\n   591→      .from('coaching_alerts')\n   592→      .insert(alerts);\n   593→\n   594→    if (error) {\n   595→      console.error('Error creating coaching alerts:', error);\n   596→    }\n   597→  }\n   598→\n   599→  return alerts;\n   600→}\n   601→\n   602→/**\n   603→ * Get call analytics for a communication\n   604→ */\n   605→async function getCallAnalytics(communicationId) {\n   606→  const { data, error } = await db\n   607→    .from('call_analytics')\n   608→    .select('*')\n   609→    .eq('communication_id', communicationId)\n   610→    .single();\n   611→\n   612→  if (error && error.code !== 'PGRST116') {\n   613→    console.error('Error fetching call analytics:', error);\n   614→    return null;\n   615→  }\n   616→\n   617→  return data;\n   618→}\n   619→\n   620→/**\n   621→ * Get analytics for all calls from a lead\n   622→ */\n   623→async function getLeadCallAnalytics(leadId) {\n   624→  const { data, error } = await db\n   625→    .from('call_analytics')\n   626→    .select('*')\n   627→    .eq('lead_id', leadId)\n   628→    .order('created_at', { ascending: false });\n   629→\n   630→  if (error) {\n   631→    console.error('Error fetching lead call analytics:', error);\n   632→    return [];\n   633→  }\n   634→\n   635→  return data || [];\n   636→}\n   637→\n   638→/**\n   639→ * Get team quality trends\n   640→ */\n   641→async function getQualityTrends(options = {}) {\n   642→  const { userId, startDate, endDate } = options;\n   643→\n   644→  try {\n   645→    let query = db\n   646→      .from('call_analytics')\n   647→      .select('user_id, call_quality_score, talk_listen_ratio, filler_word_count, agent_questions, created_at')\n   648→      .order('created_at', { ascending: false });\n   649→\n   650→    if (userId) {\n   651→      query = query.eq('user_id', userId);\n   652→    }\n   653→    if (startDate) {\n   654→      query = query.gte('created_at', startDate);\n   655→    }\n   656→    if (endDate) {\n   657→      query = query.lte('created_at', endDate);\n   658→    }\n   659→\n   660→    const { data, error } = await query.limit(100);\n   661→\n   662→    if (error) {\n   663→      console.error('Error fetching quality trends:', error);\n   664→      return { success: false, error: error.message };\n   665→    }\n   666→\n   667→    // Group by day\n   668→    const byDay = {};\n   669→    (data || []).forEach(row => {\n   670→      const day = row.created_at.split('T')[0];\n   671→      if (!byDay[day]) {\n   672→        byDay[day] = [];\n   673→      }\n   674→      byDay[day].push(row);\n   675→    });\n   676→\n   677→    const trends = Object.entries(byDay).map(([day, calls]) => ({\n   678→      day,\n   679→      calls: calls.length,\n   680→      avgQualityScore: Math.round(calls.reduce((s, c) => s + (c.call_quality_score || 0), 0) / calls.length),\n   681→      avgTalkRatio: parseFloat((calls.reduce((s, c) => s + (c.talk_listen_ratio || 0), 0) / calls.length).toFixed(2)),\n   682→      avgFillerWords: Math.round(calls.reduce((s, c) => s + (c.filler_word_count || 0), 0) / calls.length),\n   683→      avgQuestions: Math.round(calls.reduce((s, c) => s + (c.agent_questions || 0), 0) / calls.length)\n   684→    }));\n   685→\n   686→    return { success: true, trends };\n   687→  } catch (error) {\n   688→    console.error('Error in getQualityTrends:', error);\n   689→    return { success: false, error: error.message };\n   690→  }\n   691→}\n   692→\n   693→/**\n   694→ * Get coaching alerts (unreviewed)\n   695→ */\n   696→async function getCoachingAlerts(options = {}) {\n   697→  const { userId, limit = 20, includeReviewed = false } = options;\n   698→\n   699→  let query = db\n   700→    .from('coaching_alerts')\n   701→    .select(`\n   702→      *,\n   703→      call_analytics (\n   704→        call_quality_score,\n   705→        call_duration_seconds\n   706→      )\n   707→    `)\n   708→    .order('created_at', { ascending: false })\n   709→    .limit(limit);\n   710→\n   711→  if (!includeReviewed) {\n   712→    query = query.eq('is_reviewed', false);\n   713→  }\n   714→  if (userId) {\n   715→    query = query.eq('user_id', userId);\n   716→  }\n   717→\n   718→  const { data, error } = await query;\n   719→\n   720→  if (error) {\n   721→    console.error('Error fetching coaching alerts:', error);\n   722→    return [];\n   723→  }\n   724→\n   725→  return data || [];\n   726→}\n   727→\n   728→/**\n   729→ * Mark a coaching alert as reviewed\n   730→ */\n   731→async function reviewCoachingAlert(alertId, reviewedBy, notes = null) {\n   732→  const { error } = await db\n   733→    .from('coaching_alerts')\n   734→    .update({\n   735→      is_reviewed: true,\n   736→      reviewed_at: new Date().toISOString(),\n   737→      reviewed_by: reviewedBy,\n   738→      review_notes: notes\n   739→    })\n   740→    .eq('id', alertId);\n   741→\n   742→  if (error) {\n   743→    console.error('Error reviewing coaching alert:', error);\n   744→    return { success: false, error: error.message };\n   745→  }\n   746→\n   747→  return { success: true };\n   748→}\n   749→\n   750→/**\n   751→ * Get quality leaderboard\n   752→ */\n   753→async function getQualityLeaderboard(days = 7) {\n   754→  try {\n   755→    const startDate = new Date();\n   756→    startDate.setDate(startDate.getDate() - days);\n   757→\n   758→    const { data, error } = await db\n   759→      .from('call_analytics')\n   760→      .select('user_id, call_quality_score')\n   761→      .gte('created_at', startDate.toISOString())\n   762→      .not('user_id', 'is', null);\n   763→\n   764→    if (error) {\n   765→      console.error('Error fetching leaderboard:', error);\n   766→      return [];\n   767→    }\n   768→\n   769→    // Group by user\n   770→    const byUser = {};\n   771→    (data || []).forEach(row => {\n   772→      if (!byUser[row.user_id]) {\n   773→        byUser[row.user_id] = [];\n   774→      }\n   775→      byUser[row.user_id].push(row.call_quality_score);\n   776→    });\n   777→\n   778→    // Calculate averages\n   779→    const leaderboard = Object.entries(byUser).map(([userId, scores]) => ({\n   780→      userId,\n   781→      calls: scores.length,\n   782→      avgScore: Math.round(scores.reduce((a, b) => a + b, 0) / scores.length),\n   783→      bestScore: Math.max(...scores),\n   784→      worstScore: Math.min(...scores)\n   785→    }));\n   786→\n   787→    return leaderboard.sort((a, b) => b.avgScore - a.avgScore);\n   788→  } catch (error) {\n   789→    console.error('Error in getQualityLeaderboard:', error);\n   790→    return [];\n   791→  }\n   792→}\n   793→\n   794→module.exports = {\n   795→  analyzeCall,\n   796→  getCallAnalytics,\n   797→  getLeadCallAnalytics,\n   798→  getQualityTrends,\n   799→  getCoachingAlerts,\n   800→  reviewCoachingAlert,\n   801→  getQualityLeaderboard\n   802→};\n   803→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a39bae5d-c061-48c8-8899-e7fc8ad60d49","timestamp":"2026-02-07T05:51:54.795Z","sourceToolAssistantUUID":"da100669-cd28-435c-ae21-f644aef380e5"}
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{"parentUuid":"93e3fcde-bfdd-4a9d-af6e-ae535f79779e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MkqKaFwW7KwBis1ag6LZxk","type":"tool_result","content":"     1→/**\n     2→ * Prompt Management Service\n     3→ * Manages AI prompt versions, tracks performance, and handles evolution\n     4→ *\n     5→ * Part of the 0.1% Self-Improvement Loop\n     6→ */\n     7→\n     8→const { supabase, supabaseAdmin } = require('../config/database');\n     9→\n    10→const db = supabaseAdmin || supabase;\n    11→\n    12→/**\n    13→ * Default prompts used across the system\n    14→ * These are the baseline versions that get evolved\n    15→ */\n    16→const DEFAULT_PROMPTS = {\n    17→  'friction_analysis': {\n    18→    name: 'Friction Analysis',\n    19→    category: 'intelligence',\n    20→    template: `Analyze these friction points and provide actionable recommendations:\n    21→\n    22→FRICTION POINTS:\n    23→{friction_points}\n    24→\n    25→USER BEHAVIOR DATA:\n    26→{behavior_data}\n    27→\n    28→Provide:\n    29→1. Root cause analysis for top 3 friction points\n    30→2. Quick wins (can fix in < 1 hour)\n    31→3. Patterns across friction points\n    32→4. Priority ranking with effort vs impact\n    33→\n    34→Be specific and actionable. Reference actual data.`\n    35→  },\n    36→  'weekly_excellence': {\n    37→    name: 'Weekly Excellence Analysis',\n    38→    category: 'intelligence',\n    39→    template: `Analyze this week's system performance data:\n    40→\n    41→FRICTION POINTS: {friction_count} detected\n    42→TOP LOCATIONS: {top_locations}\n    43→\n    44→UNUSED FEATURES:\n    45→{unused_features}\n    46→\n    47→AI QUALITY:\n    48→- Suggestions made: {suggestions_made}\n    49→- Implemented: {implemented}\n    50→- Success rate: {success_rate}%\n    51→\n    52→Provide:\n    53→1. TOP 3 QUICK WINS (high impact, low effort fixes)\n    54→2. PATTERN ANALYSIS (what's causing friction)\n    55→3. AI EFFECTIVENESS assessment\n    56→4. PRIORITY ACTIONS for next week\n    57→\n    58→Keep each section to 2-3 bullets. Be specific.`\n    59→  },\n    60→  'monthly_deep_dive': {\n    61→    name: 'Monthly Deep Dive',\n    62→    category: 'intelligence',\n    63→    template: `Analyze this monthly system performance data and provide strategic insights:\n    64→\n    65→MONTH-OVER-MONTH TRENDS:\n    66→{trends}\n    67→\n    68→FRICTION ACTIVITY:\n    69→- New friction points detected: {friction_detected}\n    70→- Friction points resolved: {friction_resolved}\n    71→- Top friction locations: {top_friction_locations}\n    72→\n    73→AI SUGGESTION EFFECTIVENESS:\n    74→- Total suggestions: {total_suggestions}\n    75→- Implementation rate: {implementation_rate}%\n    76→- Success rate of implemented: {success_rate}%\n    77→- Pending suggestions: {pending_suggestions}\n    78→\n    79→Provide:\n    80→1. TOP 3 WINS this month (what improved)\n    81→2. TOP 3 CONCERNS (what needs attention)\n    82→3. STRATEGIC RECOMMENDATION for next month\n    83→4. AI SYSTEM HEALTH assessment (is the system improving itself?)\n    84→\n    85→Keep each section to 2-3 bullet points. Be specific and actionable.`\n    86→  },\n    87→  'objection_response': {\n    88→    name: 'Objection Response',\n    89→    category: 'sales_copilot',\n    90→    template: `Generate a response to this sales objection:\n    91→\n    92→OBJECTION: {objection}\n    93→LEAD CONTEXT: {lead_context}\n    94→PREVIOUS SUCCESSFUL RESPONSES: {successful_responses}\n    95→\n    96→Provide a concise, natural response that:\n    97→1. Acknowledges the concern\n    98→2. Addresses it directly\n    99→3. Moves toward next steps\n   100→\n   101→Keep it conversational, not scripted.`\n   102→  },\n   103→  'call_prep_intel': {\n   104→    name: 'Call Prep Intelligence',\n   105→    category: 'sales_copilot',\n   106→    template: `Prepare intelligence brief for this sales call:\n   107→\n   108→LEAD: {lead_name}\n   109→TRADE: {trade}\n   110→PREVIOUS INTERACTIONS: {interactions}\n   111→SIMILAR SUCCESSFUL CONVERSIONS: {similar_wins}\n   112→\n   113→Provide:\n   114→1. KEY TALKING POINTS (what to emphasize)\n   115→2. POTENTIAL OBJECTIONS (based on similar leads)\n   116→3. WINNING APPROACH (what worked with similar leads)\n   117→4. RECOMMENDED OPENER\n   118→\n   119→Keep it actionable and specific to this lead.`\n   120→  }\n   121→};\n   122→\n   123→/**\n   124→ * Get the active prompt version for a given prompt type\n   125→ */\n   126→async function getActivePrompt(promptType) {\n   127→  // First check database for custom/evolved version\n   128→  const { data, error } = await db\n   129→    .from('prompt_versions')\n   130→    .select('*')\n   131→    .eq('prompt_type', promptType)\n   132→    .eq('is_active', true)\n   133→    .single();\n   134→\n   135→  if (data && !error) {\n   136→    // Log usage for tracking\n   137→    await logPromptUsage(data.id, promptType);\n   138→    return {\n   139→      template: data.template,\n   140→      version: data.version,\n   141→      id: data.id\n   142→    };\n   143→  }\n   144→\n   145→  // Fall back to default\n   146→  const defaultPrompt = DEFAULT_PROMPTS[promptType];\n   147→  if (!defaultPrompt) {\n   148→    throw new Error(`Unknown prompt type: ${promptType}`);\n   149→  }\n   150→\n   151→  return {\n   152→    template: defaultPrompt.template,\n   153→    version: '1.0.0',\n   154→    id: null\n   155→  };\n   156→}\n   157→\n   158→/**\n   159→ * Log prompt usage for analytics\n   160→ */\n   161→async function logPromptUsage(promptVersionId, promptType) {\n   162→  if (!promptVersionId) return;\n   163→\n   164→  await db\n   165→    .from('prompt_versions')\n   166→    .update({\n   167→      usage_count: db.raw('usage_count + 1'),\n   168→      last_used_at: new Date().toISOString()\n   169→    })\n   170→    .eq('id', promptVersionId)\n   171→    .catch(() => {}); // Silent fail - don't break main flow\n   172→}\n   173→\n   174→/**\n   175→ * Fill a prompt template with variables\n   176→ */\n   177→function fillTemplate(template, variables) {\n   178→  let filled = template;\n   179→  Object.entries(variables).forEach(([key, value]) => {\n   180→    const placeholder = `{${key}}`;\n   181→    const stringValue = typeof value === 'object'\n   182→      ? JSON.stringify(value, null, 2)\n   183→      : String(value);\n   184→    filled = filled.split(placeholder).join(stringValue);\n   185→  });\n   186→  return filled;\n   187→}\n   188→\n   189→/**\n   190→ * Record the outcome of a prompt usage (for scoring)\n   191→ */\n   192→async function recordPromptOutcome(promptVersionId, outcome) {\n   193→  if (!promptVersionId) return;\n   194→\n   195→  const { success, suggestion_id, feedback } = outcome;\n   196→\n   197→  // Update prompt version stats\n   198→  const updateField = success ? 'success_count' : 'failure_count';\n   199→\n   200→  await db\n   201→    .from('prompt_versions')\n   202→    .update({\n   203→      [updateField]: db.raw(`${updateField} + 1`),\n   204→      updated_at: new Date().toISOString()\n   205→    })\n   206→    .eq('id', promptVersionId);\n   207→\n   208→  // Log detailed outcome\n   209→  await db\n   210→    .from('prompt_outcomes')\n   211→    .insert({\n   212→      prompt_version_id: promptVersionId,\n   213→      suggestion_id,\n   214→      success,\n   215→      feedback,\n   216→      created_at: new Date().toISOString()\n   217→    });\n   218→}\n   219→\n   220→/**\n   221→ * Get performance metrics for a prompt type\n   222→ */\n   223→async function getPromptPerformance(promptType) {\n   224→  const { data: versions, error } = await db\n   225→    .from('prompt_versions')\n   226→    .select('*')\n   227→    .eq('prompt_type', promptType)\n   228→    .order('created_at', { ascending: false })\n   229→    .limit(10);\n   230→\n   231→  if (error || !versions) {\n   232→    return { versions: [], best: null };\n   233→  }\n   234→\n   235→  // Calculate success rate for each version\n   236→  const withRates = versions.map(v => ({\n   237→    ...v,\n   238→    successRate: v.usage_count > 0\n   239→      ? Math.round((v.success_count / v.usage_count) * 100)\n   240→      : null,\n   241→    totalOutcomes: v.success_count + v.failure_count\n   242→  }));\n   243→\n   244→  // Find best performing (with minimum sample size)\n   245→  const qualified = withRates.filter(v => v.totalOutcomes >= 5);\n   246→  const best = qualified.length > 0\n   247→    ? qualified.reduce((a, b) => (a.successRate > b.successRate ? a : b))\n   248→    : null;\n   249→\n   250→  return { versions: withRates, best };\n   251→}\n   252→\n   253→/**\n   254→ * Create a new prompt version (used during evolution)\n   255→ */\n   256→async function createPromptVersion(promptType, template, metadata = {}) {\n   257→  // Get current version number\n   258→  const { data: current } = await db\n   259→    .from('prompt_versions')\n   260→    .select('version')\n   261→    .eq('prompt_type', promptType)\n   262→    .order('created_at', { ascending: false })\n   263→    .limit(1)\n   264→    .single();\n   265→\n   266→  // Calculate new version\n   267→  let newVersion = '1.0.0';\n   268→  if (current?.version) {\n   269→    const parts = current.version.split('.').map(Number);\n   270→    parts[2]++; // Increment patch version\n   271→    if (parts[2] >= 10) {\n   272→      parts[2] = 0;\n   273→      parts[1]++;\n   274→    }\n   275→    newVersion = parts.join('.');\n   276→  }\n   277→\n   278→  const defaultPrompt = DEFAULT_PROMPTS[promptType] || {};\n   279→\n   280→  const { data, error } = await db\n   281→    .from('prompt_versions')\n   282→    .insert({\n   283→      prompt_type: promptType,\n   284→      name: metadata.name || defaultPrompt.name || promptType,\n   285→      category: metadata.category || defaultPrompt.category || 'general',\n   286→      template,\n   287→      version: newVersion,\n   288→      is_active: false, // New versions start inactive\n   289→      evolution_reason: metadata.evolution_reason,\n   290→      parent_version_id: metadata.parent_version_id,\n   291→      created_at: new Date().toISOString()\n   292→    })\n   293→    .select()\n   294→    .single();\n   295→\n   296→  if (error) {\n   297→    console.error('[PromptManagement] Failed to create version:', error);\n   298→    throw error;\n   299→  }\n   300→\n   301→  return data;\n   302→}\n   303→\n   304→/**\n   305→ * Activate a prompt version (and deactivate others)\n   306→ */\n   307→async function activatePromptVersion(versionId, promptType) {\n   308→  // Deactivate all versions of this type\n   309→  await db\n   310→    .from('prompt_versions')\n   311→    .update({ is_active: false })\n   312→    .eq('prompt_type', promptType);\n   313→\n   314→  // Activate the specified version\n   315→  const { error } = await db\n   316→    .from('prompt_versions')\n   317→    .update({\n   318→      is_active: true,\n   319→      activated_at: new Date().toISOString()\n   320→    })\n   321→    .eq('id', versionId);\n   322→\n   323→  if (error) {\n   324→    console.error('[PromptManagement] Failed to activate version:', error);\n   325→    throw error;\n   326→  }\n   327→}\n   328→\n   329→/**\n   330→ * Get all prompt types and their current status\n   331→ */\n   332→async function getAllPromptStatus() {\n   333→  const status = {};\n   334→\n   335→  for (const [type, config] of Object.entries(DEFAULT_PROMPTS)) {\n   336→    const { data: activeVersion } = await db\n   337→      .from('prompt_versions')\n   338→      .select('*')\n   339→      .eq('prompt_type', type)\n   340→      .eq('is_active', true)\n   341→      .single();\n   342→\n   343→    const { data: versionCount } = await db\n   344→      .from('prompt_versions')\n   345→      .select('id', { count: 'exact' })\n   346→      .eq('prompt_type', type);\n   347→\n   348→    status[type] = {\n   349→      name: config.name,\n   350→      category: config.category,\n   351→      currentVersion: activeVersion?.version || '1.0.0 (default)',\n   352→      totalVersions: versionCount?.length || 0,\n   353→      isEvolved: !!activeVersion,\n   354→      successRate: activeVersion\n   355→        ? Math.round((activeVersion.success_count / Math.max(1, activeVersion.usage_count)) * 100)\n   356→        : null,\n   357→      usageCount: activeVersion?.usage_count || 0\n   358→    };\n   359→  }\n   360→\n   361→  return status;\n   362→}\n   363→\n   364→module.exports = {\n   365→  DEFAULT_PROMPTS,\n   366→  getActivePrompt,\n   367→  fillTemplate,\n   368→  recordPromptOutcome,\n   369→  getPromptPerformance,\n   370→  createPromptVersion,\n   371→  activatePromptVersion,\n   372→  getAllPromptStatus\n   373→};\n   374→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"112e05ab-e6c4-4315-897b-126b7edd788a","timestamp":"2026-02-07T05:51:55.188Z","sourceToolAssistantUUID":"93e3fcde-bfdd-4a9d-af6e-ae535f79779e"}
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{"parentUuid":"f62ada47-d9f6-47c4-858e-ec4da3e0ca5f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SeujoGSkz74EkvRdD2P8pn","type":"tool_result","content":"     1→/**\n     2→ * Learning Service\n     3→ * Captures conversion patterns and learns from successful sales\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→/**\n     9→ * Capture conversion pattern when a lead converts\n    10→ * Pulls all historical data to understand what worked\n    11→ */\n    12→async function captureConversionPattern(leadId, conversionType = 'manual', convertedBy = null) {\n    13→  try {\n    14→    // Get lead data\n    15→    const { data: lead, error: leadError } = await supabase\n    16→      .from('leads')\n    17→      .select('*')\n    18→      .eq('id', leadId)\n    19→      .single();\n    20→\n    21→    if (leadError || !lead) {\n    22→      console.error('Failed to get lead for pattern capture:', leadError);\n    23→      return { success: false, error: 'Lead not found' };\n    24→    }\n    25→\n    26→    // Fetch communications, copilot sessions, and notes in parallel (uses allSettled for reliability)\n    27→    const results = await Promise.allSettled([\n    28→      supabase\n    29→        .from('communications')\n    30→        .select('*')\n    31→        .eq('lead_id', leadId)\n    32→        .order('created_at', { ascending: true }),\n    33→      supabase\n    34→        .from('copilot_sessions')\n    35→        .select('*')\n    36→        .eq('lead_id', leadId)\n    37→        .order('created_at', { ascending: true }),\n    38→      supabase\n    39→        .from('lead_notes')\n    40→        .select('*')\n    41→        .eq('lead_id', leadId)\n    42→        .order('created_at', { ascending: true })\n    43→    ]);\n    44→\n    45→    // Extract with fallbacks for any failed queries\n    46→    const communications = results[0].status === 'fulfilled' ? results[0].value.data : [];\n    47→    const copilotSessions = results[1].status === 'fulfilled' ? results[1].value.data : [];\n    48→    const notes = results[2].status === 'fulfilled' ? results[2].value.data : [];\n    49→\n    50→    // Calculate timeline metrics\n    51→    const comms = communications || [];\n    52→    const firstContact = comms[0]?.created_at;\n    53→    const lastContact = comms[comms.length - 1]?.created_at;\n    54→    const daysToConvert = firstContact\n    55→      ? Math.ceil((new Date() - new Date(firstContact)) / (1000 * 60 * 60 * 24))\n    56→      : 0;\n    57→\n    58→    // Count touchpoints\n    59→    const calls = comms.filter(c => c.type === 'call_outbound' || c.type === 'call');\n    60→    const smsOut = comms.filter(c => c.type === 'sms_outbound');\n    61→    const smsIn = comms.filter(c => c.type === 'sms_inbound');\n    62→\n    63→    // Calculate call metrics\n    64→    const totalCallDuration = calls.reduce((sum, c) => sum + (c.metadata?.duration_seconds || 0), 0);\n    65→    const avgCallDuration = calls.length > 0 ? Math.round(totalCallDuration / calls.length) : 0;\n    66→\n    67→    // Extract objections from communications and copilot sessions\n    68→    const objections = [];\n    69→    comms.forEach(c => {\n    70→      if (c.metadata?.objections) {\n    71→        c.metadata.objections.forEach(obj => {\n    72→          objections.push({\n    73→            objection: obj,\n    74→            type: c.metadata?.objection_type || 'unknown',\n    75→            source: 'communication',\n    76→            timestamp: c.created_at,\n    77→          });\n    78→        });\n    79→      }\n    80→    });\n    81→\n    82→    // Extract objections from copilot sessions\n    83→    const sessions = copilotSessions || [];\n    84→    const copilotSuggestionsUsed = [];\n    85→    let aiSuggestionsShown = 0;\n    86→    let aiSuggestionsHelpful = 0;\n    87→\n    88→    sessions.forEach(session => {\n    89→      if (session.suggestions_shown) {\n    90→        session.suggestions_shown.forEach(suggestion => {\n    91→          aiSuggestionsShown++;\n    92→          if (suggestion.was_helpful) aiSuggestionsHelpful++;\n    93→\n    94→          copilotSuggestionsUsed.push({\n    95→            trigger: suggestion.trigger,\n    96→            response: suggestion.suggestion?.response,\n    97→            key_point: suggestion.suggestion?.key_point,\n    98→            objection_type: suggestion.suggestion?.objection_type,\n    99→            was_helpful: suggestion.was_helpful,\n   100→            timestamp: suggestion.timestamp,\n   101→          });\n   102→\n   103→          if (suggestion.trigger) {\n   104→            objections.push({\n   105→              objection: suggestion.trigger,\n   106→              type: suggestion.suggestion?.objection_type || 'unknown',\n   107→              response_used: suggestion.suggestion?.response,\n   108→              was_overcome: true, // If they converted, objections were overcome\n   109→              source: 'copilot',\n   110→              timestamp: suggestion.timestamp,\n   111→            });\n   112→          }\n   113→        });\n   114→      }\n   115→\n   116→      if (session.objections_detected) {\n   117→        session.objections_detected.forEach(obj => {\n   118→          if (!objections.find(o => o.objection === obj)) {\n   119→            objections.push({\n   120→              objection: obj,\n   121→              type: 'unknown',\n   122→              source: 'copilot_detected',\n   123→              was_overcome: true,\n   124→            });\n   125→          }\n   126→        });\n   127→      }\n   128→    });\n   129→\n   130→    // Find winning messages (SMS that got positive responses)\n   131→    const winningMessages = [];\n   132→    for (let i = 0; i < comms.length - 1; i++) {\n   133→      const current = comms[i];\n   134→      const next = comms[i + 1];\n   135→\n   136→      if (current.type === 'sms_outbound' && next.type === 'sms_inbound') {\n   137→        const intent = next.metadata?.intent;\n   138→        if (intent === 'positive' || intent === 'question') {\n   139→          winningMessages.push({\n   140→            message_sent: current.content,\n   141→            response_received: next.content,\n   142→            response_intent: intent,\n   143→            sent_at: current.created_at,\n   144→          });\n   145→        }\n   146→      }\n   147→    }\n   148→\n   149→    // Determine winning channel\n   150→    const lastComm = comms[comms.length - 1];\n   151→    const winningChannel = lastComm?.type?.includes('call') ? 'call' :\n   152→      lastComm?.type?.includes('sms') ? 'sms' : 'unknown';\n   153→\n   154→    // Determine best contact time\n   155→    const successfulCalls = calls.filter(c =>\n   156→      c.metadata?.outcome === 'interested' ||\n   157→      c.metadata?.outcome === 'converted' ||\n   158→      c.metadata?.outcome === 'callback_scheduled'\n   159→    );\n   160→    const bestHour = successfulCalls.length > 0\n   161→      ? new Date(successfulCalls[0].created_at).getHours()\n   162→      : null;\n   163→    const bestContactTime = bestHour !== null\n   164→      ? (bestHour < 12 ? 'morning' : bestHour < 17 ? 'afternoon' : 'evening')\n   165→      : null;\n   166→\n   167→    // Build communication timeline\n   168→    const communicationTimeline = comms.map(c => ({\n   169→      type: c.type,\n   170→      direction: c.direction,\n   171→      timestamp: c.created_at,\n   172→      content: c.content?.substring(0, 200),\n   173→      outcome: c.metadata?.outcome || c.metadata?.intent,\n   174→    }));\n   175→\n   176→    // Conversion timestamp info\n   177→    const now = new Date();\n   178→    const conversionHour = now.getHours();\n   179→    const conversionDayOfWeek = now.getDay();\n   180→\n   181→    // Build the pattern record\n   182→    const pattern = {\n   183→      lead_id: leadId,\n   184→      lead_name: `${lead.first_name || ''} ${lead.last_name || ''}`.trim(),\n   185→      lead_company: lead.company,\n   186→      lead_trade: lead.trade || lead.metadata?.trade,\n   187→      lead_source: lead.source,\n   188→      lead_score_at_conversion: lead.score,\n   189→\n   190→      days_to_convert: daysToConvert,\n   191→      total_touchpoints: comms.length,\n   192→      calls_made: calls.length,\n   193→      sms_sent: smsOut.length,\n   194→      sms_received: smsIn.length,\n   195→\n   196→      winning_channel: winningChannel,\n   197→      first_contact_type: comms[0]?.type,\n   198→      final_contact_type: lastComm?.type,\n   199→\n   200→      total_call_duration_seconds: totalCallDuration,\n   201→      avg_call_duration_seconds: avgCallDuration,\n   202→      calls_to_connect: calls.filter(c => c.metadata?.outcome === 'no_answer').length + 1,\n   203→\n   204→      objections_raised: objections,\n   205→      objection_count: objections.length,\n   206→      objections_overcome: objections.filter(o => o.was_overcome).length,\n   207→\n   208→      intel_briefs_viewed: lead.ai_intel_brief ? 1 : 0,\n   209→      copilot_sessions: sessions.length,\n   210→      ai_suggestions_shown: aiSuggestionsShown,\n   211→      ai_suggestions_helpful: aiSuggestionsHelpful,\n   212→\n   213→      best_contact_time: bestContactTime,\n   214→      best_contact_day: ['sunday', 'monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday'][conversionDayOfWeek],\n   215→      conversion_hour: conversionHour,\n   216→      conversion_day_of_week: conversionDayOfWeek,\n   217→\n   218→      winning_messages: winningMessages,\n   219→      communication_timeline: communicationTimeline,\n   220→      copilot_suggestions_used: copilotSuggestionsUsed,\n   221→\n   222→      conversion_type: conversionType,\n   223→      converted_by: convertedBy,\n   224→    };\n   225→\n   226→    // Insert the pattern\n   227→    const { data, error } = await supabase\n   228→      .from('conversion_patterns')\n   229→      .insert(pattern)\n   230→      .select()\n   231→      .single();\n   232→\n   233→    if (error) {\n   234→      console.error('Failed to save conversion pattern:', error);\n   235→      return { success: false, error: error.message };\n   236→    }\n   237→\n   238→    // Also update objection_responses table with successful responses\n   239→    await updateObjectionResponseEffectiveness(objections, lead);\n   240→\n   241→    console.log(`Captured conversion pattern for lead ${leadId}:`, {\n   242→      days: daysToConvert,\n   243→      touchpoints: comms.length,\n   244→      objections: objections.length,\n   245→      aiSuggestions: aiSuggestionsShown,\n   246→    });\n   247→\n   248→    return { success: true, pattern: data };\n   249→  } catch (error) {\n   250→    console.error('Error capturing conversion pattern:', error);\n   251→    return { success: false, error: error.message };\n   252→  }\n   253→}\n   254→\n   255→/**\n   256→ * Update objection_responses table with effectiveness data\n   257→ */\n   258→async function updateObjectionResponseEffectiveness(objections, lead) {\n   259→  for (const obj of objections) {\n   260→    if (!obj.response_used) continue;\n   261→\n   262→    // Check if this response already exists\n   263→    const { data: existing } = await supabase\n   264→      .from('objection_responses')\n   265→      .select('*')\n   266→      .eq('response_text', obj.response_used)\n   267→      .single();\n   268→\n   269→    if (existing) {\n   270→      // Update existing record\n   271→      await supabase\n   272→        .from('objection_responses')\n   273→        .update({\n   274→          times_shown: (existing.times_shown || 0) + 1,\n   275→          led_to_conversion: (existing.led_to_conversion || 0) + 1,\n   276→          effectiveness_score: calculateEffectivenessScore(\n   277→            existing.times_helpful + 1,\n   278→            existing.times_not_helpful,\n   279→            existing.led_to_conversion + 1\n   280→          ),\n   281→          updated_at: new Date().toISOString(),\n   282→        })\n   283→        .eq('id', existing.id);\n   284→    } else {\n   285→      // Create new response record\n   286→      await supabase\n   287→        .from('objection_responses')\n   288→        .insert({\n   289→          objection_type: obj.type,\n   290→          objection_text: obj.objection,\n   291→          response_text: obj.response_used,\n   292→          times_shown: 1,\n   293→          led_to_conversion: 1,\n   294→          effectiveness_score: 0.5, // Start at 50%\n   295→          lead_trade: lead.trade || lead.metadata?.trade,\n   296→          lead_source: lead.source,\n   297→          source: 'learned',\n   298→        });\n   299→    }\n   300→  }\n   301→}\n   302→\n   303→/**\n   304→ * Calculate effectiveness score for an objection response\n   305→ */\n   306→function calculateEffectivenessScore(helpful, notHelpful, conversions) {\n   307→  // Weight: conversions matter most, then helpful/not helpful\n   308→  const totalFeedback = helpful + notHelpful;\n   309→  const feedbackScore = totalFeedback > 0 ? helpful / totalFeedback : 0.5;\n   310→  const conversionWeight = Math.min(conversions / 10, 1); // Cap at 10 conversions\n   311→\n   312→  // Blend feedback (60%) with conversion success (40%)\n   313→  return Math.min(0.999, (feedbackScore * 0.6) + (conversionWeight * 0.4));\n   314→}\n   315→\n   316→/**\n   317→ * Record feedback on a copilot suggestion\n   318→ */\n   319→async function recordSuggestionFeedback(data) {\n   320→  const {\n   321→    copilotSessionId,\n   322→    leadId,\n   323→    objectionDetected,\n   324→    objectionType,\n   325→    suggestionResponse,\n   326→    suggestionKeyPoint,\n   327→    wasHelpful,\n   328→    feedbackNote,\n   329→    userEmail,\n   330→  } = data;\n   331→\n   332→  // Insert feedback record\n   333→  const { error: feedbackError } = await supabase\n   334→    .from('suggestion_feedback')\n   335→    .insert({\n   336→      copilot_session_id: copilotSessionId,\n   337→      lead_id: leadId,\n   338→      objection_detected: objectionDetected,\n   339→      objection_type: objectionType,\n   340→      suggestion_response: suggestionResponse,\n   341→      suggestion_key_point: suggestionKeyPoint,\n   342→      was_helpful: wasHelpful,\n   343→      feedback_note: feedbackNote,\n   344→      user_email: userEmail,\n   345→    });\n   346→\n   347→  if (feedbackError) {\n   348→    console.error('Failed to record feedback:', feedbackError);\n   349→    return { success: false, error: feedbackError.message };\n   350→  }\n   351→\n   352→  // Update objection_responses table\n   353→  if (suggestionResponse) {\n   354→    const { data: existing } = await supabase\n   355→      .from('objection_responses')\n   356→      .select('*')\n   357→      .eq('response_text', suggestionResponse)\n   358→      .single();\n   359→\n   360→    if (existing) {\n   361→      const updates = wasHelpful\n   362→        ? { times_helpful: (existing.times_helpful || 0) + 1 }\n   363→        : { times_not_helpful: (existing.times_not_helpful || 0) + 1 };\n   364→\n   365→      updates.effectiveness_score = calculateEffectivenessScore(\n   366→        (existing.times_helpful || 0) + (wasHelpful ? 1 : 0),\n   367→        (existing.times_not_helpful || 0) + (wasHelpful ? 0 : 1),\n   368→        existing.led_to_conversion || 0\n   369→      );\n   370→      updates.updated_at = new Date().toISOString();\n   371→\n   372→      await supabase\n   373→        .from('objection_responses')\n   374→        .update(updates)\n   375→        .eq('id', existing.id);\n   376→    }\n   377→  }\n   378→\n   379→  return { success: true };\n   380→}\n   381→\n   382→/**\n   383→ * Get effective objection responses for a given type\n   384→ * Used by the AI to weight responses\n   385→ */\n   386→async function getEffectiveResponses(objectionType, trade = null) {\n   387→  let query = supabase\n   388→    .from('objection_responses')\n   389→    .select('*')\n   390→    .eq('objection_type', objectionType)\n   391→    .gt('effectiveness_score', 0.3)\n   392→    .order('effectiveness_score', { ascending: false })\n   393→    .limit(5);\n   394→\n   395→  if (trade) {\n   396→    query = query.or(`lead_trade.eq.${trade},lead_trade.is.null`);\n   397→  }\n   398→\n   399→  const { data, error } = await query;\n   400→\n   401→  if (error) {\n   402→    console.error('Failed to get effective responses:', error);\n   403→    return [];\n   404→  }\n   405→\n   406→  return data || [];\n   407→}\n   408→\n   409→/**\n   410→ * Get similar conversion patterns for a lead\n   411→ * Used by Intel Brief to show similar wins\n   412→ */\n   413→async function getSimilarWins(lead) {\n   414→  const { data, error } = await supabase\n   415→    .from('conversion_patterns')\n   416→    .select('*')\n   417→    .order('created_at', { ascending: false })\n   418→    .limit(20);\n   419→\n   420→  if (error || !data) return [];\n   421→\n   422→  // Score similarity\n   423→  const scored = data.map(pattern => {\n   424→    let score = 0;\n   425→\n   426→    // Same trade is a strong match\n   427→    if (pattern.lead_trade && lead.trade && pattern.lead_trade === lead.trade) {\n   428→      score += 40;\n   429→    }\n   430→\n   431→    // Same source is good\n   432→    if (pattern.lead_source && lead.source && pattern.lead_source === lead.source) {\n   433→      score += 20;\n   434→    }\n   435→\n   436→    // Similar score range\n   437→    const scoreDiff = Math.abs((pattern.lead_score_at_conversion || 50) - (lead.score || 50));\n   438→    if (scoreDiff < 10) score += 15;\n   439→    else if (scoreDiff < 20) score += 10;\n   440→\n   441→    // Recent conversions more relevant\n   442→    const daysAgo = Math.ceil((new Date() - new Date(pattern.created_at)) / (1000 * 60 * 60 * 24));\n   443→    if (daysAgo < 7) score += 15;\n   444→    else if (daysAgo < 30) score += 10;\n   445→\n   446→    return { ...pattern, similarity_score: score };\n   447→  });\n   448→\n   449→  // Return top 3 most similar\n   450→  return scored\n   451→    .filter(p => p.similarity_score > 20)\n   452→    .sort((a, b) => b.similarity_score - a.similarity_score)\n   453→    .slice(0, 3)\n   454→    .map(p => ({\n   455→      company: p.lead_company,\n   456→      trade: p.lead_trade,\n   457→      days_to_convert: p.days_to_convert,\n   458→      touchpoints: p.total_touchpoints,\n   459→      winning_channel: p.winning_channel,\n   460→      key_objections: p.objections_raised?.slice(0, 2).map(o => o.objection) || [],\n   461→      similarity_score: p.similarity_score,\n   462→    }));\n   463→}\n   464→\n   465→module.exports = {\n   466→  captureConversionPattern,\n   467→  recordSuggestionFeedback,\n   468→  getEffectiveResponses,\n   469→  getSimilarWins,\n   470→};\n   471→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"bfc5ccf0-6de6-4ec8-82c5-42867917dc1d","timestamp":"2026-02-07T05:52:11.241Z","sourceToolAssistantUUID":"f62ada47-d9f6-47c4-858e-ec4da3e0ca5f"}
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{"parentUuid":"0afee343-1bb6-428a-bdaf-c66c285cd358","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013gHCwWj5oqLsWnCZFsH8ML","type":"tool_result","content":"     1→/**\n     2→ * Duels Service - XP Duels for Battleground V2\n     3→ * Head-to-head challenges with AI-calculated odds\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→// Duel types and their configurations\n     9→const DUEL_TYPES = {\n    10→  calls_hour: {\n    11→    name: 'Call Blitz',\n    12→    metric: 'calls',\n    13→    duration: 60 * 60 * 1000, // 1 hour\n    14→    description: 'Most calls in 1 hour'\n    15→  },\n    16→  calls_day: {\n    17→    name: 'Daily Grind',\n    18→    metric: 'calls',\n    19→    duration: 24 * 60 * 60 * 1000, // 24 hours\n    20→    description: 'Most calls today'\n    21→  },\n    22→  conversions_day: {\n    23→    name: 'Closer Duel',\n    24→    metric: 'conversions',\n    25→    duration: 24 * 60 * 60 * 1000,\n    26→    description: 'Most conversions today'\n    27→  },\n    28→  conversions_week: {\n    29→    name: 'Weekly Showdown',\n    30→    metric: 'conversions',\n    31→    duration: 7 * 24 * 60 * 60 * 1000,\n    32→    description: 'Most conversions this week'\n    33→  }\n    34→};\n    35→\n    36→// Stake limits\n    37→const MIN_STAKE = 50;\n    38→const MAX_STAKE = 500;\n    39→const MAX_DAILY_LOSS_PERCENT = 0.5; // Can't lose more than 50% of daily XP\n    40→\n    41→/**\n    42→ * Get user's average performance for a metric (last 30 days)\n    43→ */\n    44→async function getUserMetricAverage(userId, metric) {\n    45→  try {\n    46→    if (metric === 'calls') {\n    47→      // Get average daily calls\n    48→      const { data, error } = await supabase.rpc('get_user_metric_average', {\n    49→        p_user_id: userId,\n    50→        p_metric: 'calls'\n    51→      });\n    52→\n    53→      if (error) {\n    54→        console.error('Error getting call average:', error);\n    55→        // Fallback: query directly\n    56→        const { data: calls } = await supabase\n    57→          .from('communications')\n    58→          .select('created_at')\n    59→          .eq('user_id', userId)\n    60→          .eq('type', 'call_outbound')\n    61→          .gte('created_at', new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString());\n    62→\n    63→        if (!calls || calls.length === 0) return 10; // Default for new users\n    64→\n    65→        // Group by day and average\n    66→        const dayMap = {};\n    67→        calls.forEach(c => {\n    68→          const day = c.created_at.split('T')[0];\n    69→          dayMap[day] = (dayMap[day] || 0) + 1;\n    70→        });\n    71→        const days = Object.values(dayMap);\n    72→        return days.length > 0 ? days.reduce((a, b) => a + b, 0) / days.length : 10;\n    73→      }\n    74→\n    75→      return data || 10;\n    76→    }\n    77→\n    78→    if (metric === 'conversions') {\n    79→      const { data: conversions } = await supabase\n    80→        .from('leads')\n    81→        .select('created_at')\n    82→        .eq('assigned_to', userId)\n    83→        .eq('status', 'converted')\n    84→        .gte('created_at', new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString());\n    85→\n    86→      if (!conversions || conversions.length === 0) return 1; // Default\n    87→\n    88→      const dayMap = {};\n    89→      conversions.forEach(c => {\n    90→        const day = c.created_at.split('T')[0];\n    91→        dayMap[day] = (dayMap[day] || 0) + 1;\n    92→      });\n    93→      const days = Object.values(dayMap);\n    94→      return days.length > 0 ? days.reduce((a, b) => a + b, 0) / days.length : 1;\n    95→    }\n    96→\n    97→    return 10; // Default\n    98→  } catch (err) {\n    99→    console.error('Error in getUserMetricAverage:', err);\n   100→    return 10;\n   101→  }\n   102→}\n   103→\n   104→/**\n   105→ * Calculate odds for a duel\n   106→ * Returns odds from challenger's perspective (>1 = challenger favored)\n   107→ */\n   108→async function calculateOdds(challengerId, targetId, duelType) {\n   109→  const metric = DUEL_TYPES[duelType]?.metric || 'calls';\n   110→\n   111→  const [challengerAvg, targetAvg] = await Promise.all([\n   112→    getUserMetricAverage(challengerId, metric),\n   113→    getUserMetricAverage(targetId, metric)\n   114→  ]);\n   115→\n   116→  // Base odds = challenger avg / target avg\n   117→  let odds = challengerAvg / Math.max(targetAvg, 0.1);\n   118→\n   119→  // Get duel history for adjustments\n   120→  const { data: challengerHistory } = await supabase\n   121→    .from('duel_history')\n   122→    .select('*')\n   123→    .eq('user_id', challengerId)\n   124→    .single();\n   125→\n   126→  const { data: targetHistory } = await supabase\n   127→    .from('duel_history')\n   128→    .select('*')\n   129→    .eq('user_id', targetId)\n   130→    .single();\n   131→\n   132→  // Adjust for streak (hot hand / cold streak)\n   133→  if (challengerHistory?.current_duel_streak > 2) {\n   134→    odds *= 1.1; // Challenger on a streak, slight boost\n   135→  }\n   136→  if (targetHistory?.current_duel_streak > 2) {\n   137→    odds *= 0.9; // Target on a streak, reduce challenger odds\n   138→  }\n   139→\n   140→  // Cap odds between 0.25 and 4.0 (4:1 max either way)\n   141→  odds = Math.max(0.25, Math.min(4.0, odds));\n   142→\n   143→  // Round to 2 decimal places\n   144→  return Math.round(odds * 100) / 100;\n   145→}\n   146→\n   147→/**\n   148→ * Create a new duel challenge\n   149→ */\n   150→async function createDuel(challengerId, targetId, duelType, stakeAmount) {\n   151→  // Validate duel type\n   152→  if (!DUEL_TYPES[duelType]) {\n   153→    throw new Error(`Invalid duel type: ${duelType}`);\n   154→  }\n   155→\n   156→  // Validate stake\n   157→  if (stakeAmount < MIN_STAKE || stakeAmount > MAX_STAKE) {\n   158→    throw new Error(`Stake must be between ${MIN_STAKE} and ${MAX_STAKE} XP`);\n   159→  }\n   160→\n   161→  // Check challenger isn't already in an active duel\n   162→  const { data: existingDuel } = await supabase\n   163→    .from('duels')\n   164→    .select('id')\n   165→    .or(`challenger_id.eq.${challengerId},target_id.eq.${challengerId}`)\n   166→    .in('status', ['pending', 'active'])\n   167→    .limit(1);\n   168→\n   169→  if (existingDuel && existingDuel.length > 0) {\n   170→    throw new Error('You already have an active or pending duel');\n   171→  }\n   172→\n   173→  // Check target isn't already in an active duel\n   174→  const { data: targetDuel } = await supabase\n   175→    .from('duels')\n   176→    .select('id')\n   177→    .or(`challenger_id.eq.${targetId},target_id.eq.${targetId}`)\n   178→    .in('status', ['pending', 'active'])\n   179→    .limit(1);\n   180→\n   181→  if (targetDuel && targetDuel.length > 0) {\n   182→    throw new Error('Target is already in an active or pending duel');\n   183→  }\n   184→\n   185→  // Calculate odds\n   186→  const odds = await calculateOdds(challengerId, targetId, duelType);\n   187→\n   188→  // Create the duel\n   189→  const { data: duel, error } = await supabase\n   190→    .from('duels')\n   191→    .insert({\n   192→      challenger_id: challengerId,\n   193→      target_id: targetId,\n   194→      duel_type: duelType,\n   195→      stake_amount: stakeAmount,\n   196→      challenger_odds: odds,\n   197→      status: 'pending'\n   198→    })\n   199→    .select()\n   200→    .single();\n   201→\n   202→  if (error) throw error;\n   203→\n   204→  return {\n   205→    ...duel,\n   206→    duel_config: DUEL_TYPES[duelType],\n   207→    odds_display: odds > 1\n   208→      ? `You're ${odds}:1 favorite`\n   209→      : `You're ${Math.round(1/odds * 100) / 100}:1 underdog`\n   210→  };\n   211→}\n   212→\n   213→/**\n   214→ * Accept a duel challenge\n   215→ */\n   216→async function acceptDuel(duelId, userId) {\n   217→  // Get the duel\n   218→  const { data: duel, error: fetchError } = await supabase\n   219→    .from('duels')\n   220→    .select('*')\n   221→    .eq('id', duelId)\n   222→    .single();\n   223→\n   224→  if (fetchError || !duel) {\n   225→    throw new Error('Duel not found');\n   226→  }\n   227→\n   228→  if (duel.target_id !== userId) {\n   229→    throw new Error('You are not the target of this duel');\n   230→  }\n   231→\n   232→  if (duel.status !== 'pending') {\n   233→    throw new Error('Duel is no longer pending');\n   234→  }\n   235→\n   236→  // Calculate end time based on duel type\n   237→  const duration = DUEL_TYPES[duel.duel_type]?.duration || 24 * 60 * 60 * 1000;\n   238→  const now = new Date();\n   239→  const endsAt = new Date(now.getTime() + duration);\n   240→\n   241→  // Update duel to active\n   242→  const { data: updatedDuel, error: updateError } = await supabase\n   243→    .from('duels')\n   244→    .update({\n   245→      status: 'active',\n   246→      starts_at: now.toISOString(),\n   247→      ends_at: endsAt.toISOString()\n   248→    })\n   249→    .eq('id', duelId)\n   250→    .select()\n   251→    .single();\n   252→\n   253→  if (updateError) throw updateError;\n   254→\n   255→  return {\n   256→    ...updatedDuel,\n   257→    duel_config: DUEL_TYPES[updatedDuel.duel_type]\n   258→  };\n   259→}\n   260→\n   261→/**\n   262→ * Decline a duel challenge\n   263→ */\n   264→async function declineDuel(duelId, userId) {\n   265→  const { data: duel, error: fetchError } = await supabase\n   266→    .from('duels')\n   267→    .select('*')\n   268→    .eq('id', duelId)\n   269→    .single();\n   270→\n   271→  if (fetchError || !duel) {\n   272→    throw new Error('Duel not found');\n   273→  }\n   274→\n   275→  if (duel.target_id !== userId) {\n   276→    throw new Error('You are not the target of this duel');\n   277→  }\n   278→\n   279→  if (duel.status !== 'pending') {\n   280→    throw new Error('Duel is no longer pending');\n   281→  }\n   282→\n   283→  const { error: updateError } = await supabase\n   284→    .from('duels')\n   285→    .update({ status: 'declined' })\n   286→    .eq('id', duelId);\n   287→\n   288→  if (updateError) throw updateError;\n   289→\n   290→  return { success: true };\n   291→}\n   292→\n   293→/**\n   294→ * Get user's active and pending duels\n   295→ */\n   296→async function getUserDuels(userId) {\n   297→  const { data: duels, error } = await supabase\n   298→    .from('duels')\n   299→    .select('*')\n   300→    .or(`challenger_id.eq.${userId},target_id.eq.${userId}`)\n   301→    .in('status', ['pending', 'active'])\n   302→    .order('created_at', { ascending: false });\n   303→\n   304→  if (error) throw error;\n   305→\n   306→  return duels.map(duel => ({\n   307→    ...duel,\n   308→    duel_config: DUEL_TYPES[duel.duel_type],\n   309→    is_challenger: duel.challenger_id === userId\n   310→  }));\n   311→}\n   312→\n   313→/**\n   314→ * Get recent completed duels for a user\n   315→ */\n   316→async function getUserDuelHistory(userId, limit = 10) {\n   317→  const { data: duels, error } = await supabase\n   318→    .from('duels')\n   319→    .select('*')\n   320→    .or(`challenger_id.eq.${userId},target_id.eq.${userId}`)\n   321→    .eq('status', 'completed')\n   322→    .order('completed_at', { ascending: false })\n   323→    .limit(limit);\n   324→\n   325→  if (error) throw error;\n   326→\n   327→  return duels.map(duel => ({\n   328→    ...duel,\n   329→    duel_config: DUEL_TYPES[duel.duel_type],\n   330→    is_challenger: duel.challenger_id === userId,\n   331→    won: duel.winner_id === userId\n   332→  }));\n   333→}\n   334→\n   335→/**\n   336→ * Update duel scores based on current activity\n   337→ */\n   338→async function updateDuelScores(duelId) {\n   339→  const { data: duel, error: fetchError } = await supabase\n   340→    .from('duels')\n   341→    .select('*')\n   342→    .eq('id', duelId)\n   343→    .eq('status', 'active')\n   344→    .single();\n   345→\n   346→  if (fetchError || !duel) return null;\n   347→\n   348→  const metric = DUEL_TYPES[duel.duel_type]?.metric || 'calls';\n   349→  const startTime = duel.starts_at;\n   350→\n   351→  let challengerScore = 0;\n   352→  let targetScore = 0;\n   353→\n   354→  if (metric === 'calls') {\n   355→    // Count calls since duel started\n   356→    const { data: challengerCalls } = await supabase\n   357→      .from('communications')\n   358→      .select('id')\n   359→      .eq('user_id', duel.challenger_id)\n   360→      .eq('type', 'call_outbound')\n   361→      .gte('created_at', startTime);\n   362→\n   363→    const { data: targetCalls } = await supabase\n   364→      .from('communications')\n   365→      .select('id')\n   366→      .eq('user_id', duel.target_id)\n   367→      .eq('type', 'call_outbound')\n   368→      .gte('created_at', startTime);\n   369→\n   370→    challengerScore = challengerCalls?.length || 0;\n   371→    targetScore = targetCalls?.length || 0;\n   372→  } else if (metric === 'conversions') {\n   373→    // Count conversions since duel started\n   374→    const { data: challengerConversions } = await supabase\n   375→      .from('leads')\n   376→      .select('id')\n   377→      .eq('assigned_to', duel.challenger_id)\n   378→      .eq('status', 'converted')\n   379→      .gte('updated_at', startTime);\n   380→\n   381→    const { data: targetConversions } = await supabase\n   382→      .from('leads')\n   383→      .select('id')\n   384→      .eq('assigned_to', duel.target_id)\n   385→      .eq('status', 'converted')\n   386→      .gte('updated_at', startTime);\n   387→\n   388→    challengerScore = challengerConversions?.length || 0;\n   389→    targetScore = targetConversions?.length || 0;\n   390→  }\n   391→\n   392→  // Update scores\n   393→  const { data: updatedDuel, error: updateError } = await supabase\n   394→    .from('duels')\n   395→    .update({\n   396→      challenger_score: challengerScore,\n   397→      target_score: targetScore\n   398→    })\n   399→    .eq('id', duelId)\n   400→    .select()\n   401→    .single();\n   402→\n   403→  if (updateError) throw updateError;\n   404→\n   405→  return updatedDuel;\n   406→}\n   407→\n   408→/**\n   409→ * Complete a duel and distribute XP\n   410→ */\n   411→async function completeDuel(duelId) {\n   412→  const { data: duel, error: fetchError } = await supabase\n   413→    .from('duels')\n   414→    .select('*')\n   415→    .eq('id', duelId)\n   416→    .single();\n   417→\n   418→  if (fetchError || !duel) {\n   419→    throw new Error('Duel not found');\n   420→  }\n   421→\n   422→  if (duel.status !== 'active') {\n   423→    throw new Error('Duel is not active');\n   424→  }\n   425→\n   426→  // Update scores one final time\n   427→  await updateDuelScores(duelId);\n   428→\n   429→  // Re-fetch with updated scores\n   430→  const { data: finalDuel } = await supabase\n   431→    .from('duels')\n   432→    .select('*')\n   433→    .eq('id', duelId)\n   434→    .single();\n   435→\n   436→  // Determine winner\n   437→  let winnerId = null;\n   438→  let xpWon = 0;\n   439→\n   440→  if (finalDuel.challenger_score > finalDuel.target_score) {\n   441→    winnerId = finalDuel.challenger_id;\n   442→    xpWon = Math.round(finalDuel.stake_amount * finalDuel.challenger_odds);\n   443→  } else if (finalDuel.target_score > finalDuel.challenger_score) {\n   444→    winnerId = finalDuel.target_id;\n   445→    xpWon = Math.round(finalDuel.stake_amount / Math.max(finalDuel.challenger_odds, 0.25));\n   446→  }\n   447→  // If tie, winnerId stays null, no XP transferred\n   448→\n   449→  // Update duel as completed\n   450→  const { data: completedDuel, error: completeError } = await supabase\n   451→    .from('duels')\n   452→    .update({\n   453→      status: 'completed',\n   454→      completed_at: new Date().toISOString(),\n   455→      winner_id: winnerId,\n   456→      xp_won: xpWon\n   457→    })\n   458→    .eq('id', duelId)\n   459→    .select()\n   460→    .single();\n   461→\n   462→  if (completeError) throw completeError;\n   463→\n   464→  // Update XP for winner and loser\n   465→  if (winnerId) {\n   466→    const loserId = winnerId === finalDuel.challenger_id\n   467→      ? finalDuel.target_id\n   468→      : finalDuel.challenger_id;\n   469→\n   470→    // Add XP to winner (atomic function prevents race conditions)\n   471→    const { error: xpError } = await supabase.rpc('add_user_xp', {\n   472→      p_user_id: winnerId,\n   473→      p_xp_amount: xpWon\n   474→    });\n   475→    if (xpError) {\n   476→      console.error('Failed to award duel XP:', xpError.message);\n   477→    }\n   478→\n   479→    // Update duel history\n   480→    await updateDuelHistory(winnerId, true, xpWon);\n   481→    await updateDuelHistory(loserId, false, finalDuel.stake_amount);\n   482→\n   483→    // Create celebration event\n   484→    await createCelebrationEvent('duel_win', winnerId, xpWon, completedDuel);\n   485→  }\n   486→\n   487→  return completedDuel;\n   488→}\n   489→\n   490→/**\n   491→ * Update user's duel history\n   492→ */\n   493→async function updateDuelHistory(userId, won, xpAmount) {\n   494→  const { data: existing } = await supabase\n   495→    .from('duel_history')\n   496→    .select('*')\n   497→    .eq('user_id', userId)\n   498→    .single();\n   499→\n   500→  if (existing) {\n   501→    await supabase\n   502→      .from('duel_history')\n   503→      .update({\n   504→        duels_won: won ? existing.duels_won + 1 : existing.duels_won,\n   505→        duels_lost: won ? existing.duels_lost : existing.duels_lost + 1,\n   506→        total_xp_won: won ? existing.total_xp_won + xpAmount : existing.total_xp_won,\n   507→        total_xp_lost: won ? existing.total_xp_lost : existing.total_xp_lost + xpAmount,\n   508→        current_duel_streak: won ? existing.current_duel_streak + 1 : 0,\n   509→        best_duel_streak: won\n   510→          ? Math.max(existing.best_duel_streak, existing.current_duel_streak + 1)\n   511→          : existing.best_duel_streak,\n   512→        last_duel_at: new Date().toISOString(),\n   513→        updated_at: new Date().toISOString()\n   514→      })\n   515→      .eq('user_id', userId);\n   516→  } else {\n   517→    await supabase\n   518→      .from('duel_history')\n   519→      .insert({\n   520→        user_id: userId,\n   521→        duels_won: won ? 1 : 0,\n   522→        duels_lost: won ? 0 : 1,\n   523→        total_xp_won: won ? xpAmount : 0,\n   524→        total_xp_lost: won ? 0 : xpAmount,\n   525→        current_duel_streak: won ? 1 : 0,\n   526→        best_duel_streak: won ? 1 : 0,\n   527→        last_duel_at: new Date().toISOString()\n   528→      });\n   529→  }\n   530→}\n   531→\n   532→/**\n   533→ * Create a celebration event for team-wide notification\n   534→ */\n   535→async function createCelebrationEvent(eventType, userId, xpAmount, metadata = {}) {\n   536→  const titles = {\n   537→    duel_win: 'DUEL VICTORY!',\n   538→    conversion: 'JUST CLOSED!',\n   539→    streak_milestone: 'STREAK MILESTONE!',\n   540→    challenge_win: 'CHALLENGE WON!'\n   541→  };\n   542→\n   543→  await supabase\n   544→    .from('celebration_events')\n   545→    .insert({\n   546→      event_type: eventType,\n   547→      user_id: userId,\n   548→      title: titles[eventType] || 'CELEBRATION!',\n   549→      xp_amount: xpAmount,\n   550→      metadata\n   551→    });\n   552→}\n   553→\n   554→/**\n   555→ * Get recent celebration events (for team pulse)\n   556→ */\n   557→async function getRecentCelebrations(limit = 10) {\n   558→  const { data, error } = await supabase\n   559→    .from('celebration_events')\n   560→    .select('*')\n   561→    .order('created_at', { ascending: false })\n   562→    .limit(limit);\n   563→\n   564→  if (error) throw error;\n   565→  return data;\n   566→}\n   567→\n   568→/**\n   569→ * Process expired duels (run periodically)\n   570→ */\n   571→async function processExpiredDuels() {\n   572→  // Expire pending duels older than 24 hours\n   573→  await supabase\n   574→    .from('duels')\n   575→    .update({ status: 'expired' })\n   576→    .eq('status', 'pending')\n   577→    .lt('created_at', new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString());\n   578→\n   579→  // Complete active duels that have ended\n   580→  const { data: endedDuels } = await supabase\n   581→    .from('duels')\n   582→    .select('id')\n   583→    .eq('status', 'active')\n   584→    .lt('ends_at', new Date().toISOString());\n   585→\n   586→  if (endedDuels && endedDuels.length > 0) {\n   587→    for (const duel of endedDuels) {\n   588→      try {\n   589→        await completeDuel(duel.id);\n   590→      } catch (err) {\n   591→        console.error(`Error completing duel ${duel.id}:`, err);\n   592→      }\n   593→    }\n   594→  }\n   595→}\n   596→\n   597→module.exports = {\n   598→  DUEL_TYPES,\n   599→  calculateOdds,\n   600→  createDuel,\n   601→  acceptDuel,\n   602→  declineDuel,\n   603→  getUserDuels,\n   604→  getUserDuelHistory,\n   605→  updateDuelScores,\n   606→  completeDuel,\n   607→  createCelebrationEvent,\n   608→  getRecentCelebrations,\n   609→  processExpiredDuels\n   610→};\n   611→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2d6afba0-8c3d-4e16-a16a-b4cf3596dbfe","timestamp":"2026-02-07T05:52:11.703Z","sourceToolAssistantUUID":"0afee343-1bb6-428a-bdaf-c66c285cd358"}
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{"parentUuid":"00a905a8-ba2c-42f6-88b1-bc3762bda380","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XzcRTRBjCQP6qQsSoMWxwn","type":"tool_result","content":"     1→/**\n     2→ * Deal Intelligence Service\n     3→ * Analyzes objection outcomes, deal velocity, and stall prediction\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→\n     8→// Use admin client for tables with RLS\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→/**\n    12→ * Record a deal stage transition\n    13→ */\n    14→async function recordStageTransition(leadId, stage, notes = null, metadata = {}) {\n    15→  try {\n    16→    // Close previous stage if exists (specific columns for performance)\n    17→    const { data: prevStage } = await db\n    18→      .from('deal_stages')\n    19→      .select('id, entered_at')\n    20→      .eq('lead_id', leadId)\n    21→      .is('exited_at', null)\n    22→      .order('entered_at', { ascending: false })\n    23→      .limit(1)\n    24→      .single();\n    25→\n    26→    if (prevStage) {\n    27→      const enteredAt = new Date(prevStage.entered_at);\n    28→      const now = new Date();\n    29→      const durationHours = Math.round((now - enteredAt) / (1000 * 60 * 60));\n    30→\n    31→      await db\n    32→        .from('deal_stages')\n    33→        .update({\n    34→          exited_at: now.toISOString(),\n    35→          duration_hours: durationHours\n    36→        })\n    37→        .eq('id', prevStage.id);\n    38→    }\n    39→\n    40→    // Create new stage\n    41→    const { data, error } = await db\n    42→      .from('deal_stages')\n    43→      .insert({\n    44→        lead_id: leadId,\n    45→        stage,\n    46→        notes,\n    47→        metadata\n    48→      })\n    49→      .select()\n    50→      .single();\n    51→\n    52→    if (error) {\n    53→      console.error('Error recording stage transition:', error);\n    54→      return { success: false, error: error.message };\n    55→    }\n    56→\n    57→    return { success: true, stage: data };\n    58→  } catch (error) {\n    59→    console.error('Error in recordStageTransition:', error);\n    60→    return { success: false, error: error.message };\n    61→  }\n    62→}\n    63→\n    64→/**\n    65→ * Record deal outcome (win/loss)\n    66→ */\n    67→async function recordDealOutcome(data) {\n    68→  const {\n    69→    leadId,\n    70→    outcome, // 'won', 'lost', 'stalled'\n    71→    primaryReason,\n    72→    secondaryReasons = [],\n    73→    competitorLostTo = null,\n    74→    dealValue = null,\n    75→    winningResponse = null,\n    76→    repNotes = null,\n    77→    recordedBy = null\n    78→  } = data;\n    79→\n    80→  try {\n    81→    // Get lead info for touchpoints calculation\n    82→    const { data: lead } = await db\n    83→      .from('leads')\n    84→      .select('created_at')\n    85→      .eq('id', leadId)\n    86→      .single();\n    87→\n    88→    // Count touchpoints\n    89→    const { count: touchpointsCount } = await db\n    90→      .from('communications')\n    91→      .select('*', { count: 'exact', head: true })\n    92→      .eq('lead_id', leadId);\n    93→\n    94→    // Get objections encountered\n    95→    const { data: objectionData } = await db\n    96→      .from('objection_responses')\n    97→      .select('objection_type')\n    98→      .eq('lead_id', leadId);\n    99→\n   100→    const objectionsEncountered = [...new Set(\n   101→      (objectionData || []).map(o => o.objection_type)\n   102→    )];\n   103→\n   104→    // Calculate time to close\n   105→    let timeToCloseDays = null;\n   106→    if (lead?.created_at) {\n   107→      const createdAt = new Date(lead.created_at);\n   108→      const now = new Date();\n   109→      timeToCloseDays = Math.ceil((now - createdAt) / (1000 * 60 * 60 * 24));\n   110→    }\n   111→\n   112→    // Upsert outcome\n   113→    const { data: outcomeData, error } = await db\n   114→      .from('deal_outcomes')\n   115→      .upsert({\n   116→        lead_id: leadId,\n   117→        outcome,\n   118→        primary_reason: primaryReason,\n   119→        secondary_reasons: secondaryReasons,\n   120→        competitor_lost_to: competitorLostTo,\n   121→        deal_value: dealValue,\n   122→        time_to_close_days: timeToCloseDays,\n   123→        touchpoints_count: touchpointsCount || 0,\n   124→        objections_encountered: objectionsEncountered,\n   125→        winning_response: winningResponse,\n   126→        rep_notes: repNotes,\n   127→        recorded_by: recordedBy,\n   128→        recorded_at: new Date().toISOString()\n   129→      }, {\n   130→        onConflict: 'lead_id'\n   131→      })\n   132→      .select()\n   133→      .single();\n   134→\n   135→    if (error) {\n   136→      console.error('Error recording deal outcome:', error);\n   137→      return { success: false, error: error.message };\n   138→    }\n   139→\n   140→    // Update objection outcomes for analytics\n   141→    if (outcome === 'won' || outcome === 'lost') {\n   142→      await updateObjectionOutcomes(leadId, outcome === 'won', timeToCloseDays);\n   143→    }\n   144→\n   145→    // Record final stage\n   146→    await recordStageTransition(leadId, outcome);\n   147→\n   148→    return { success: true, outcome: outcomeData };\n   149→  } catch (error) {\n   150→    console.error('Error in recordDealOutcome:', error);\n   151→    return { success: false, error: error.message };\n   152→  }\n   153→}\n   154→\n   155→/**\n   156→ * Update objection_responses with outcome data\n   157→ */\n   158→async function updateObjectionOutcomes(leadId, converted, daysToOutcome) {\n   159→  try {\n   160→    // Find objection responses linked to this lead's communications\n   161→    const { data: comms } = await db\n   162→      .from('communications')\n   163→      .select('metadata')\n   164→      .eq('lead_id', leadId)\n   165→      .not('metadata', 'is', null);\n   166→\n   167→    // Extract unique objection types\n   168→    const objectionTypes = new Set();\n   169→    (comms || []).forEach(c => {\n   170→      if (c.metadata?.objection_type) {\n   171→        objectionTypes.add(c.metadata.objection_type);\n   172→      }\n   173→      if (c.metadata?.objections) {\n   174→        c.metadata.objections.forEach(o => {\n   175→          if (typeof o === 'string') objectionTypes.add(o);\n   176→          else if (o.type) objectionTypes.add(o.type);\n   177→        });\n   178→      }\n   179→    });\n   180→\n   181→    // Update objection_responses for matching types\n   182→    for (const objType of objectionTypes) {\n   183→      // Get responses used during this lead's journey\n   184→      const { data: responses } = await db\n   185→        .from('objection_responses')\n   186→        .select('id, led_to_conversion_bool')\n   187→        .eq('objection_type', objType);\n   188→\n   189→      for (const response of (responses || [])) {\n   190→        await db\n   191→          .from('objection_responses')\n   192→          .update({\n   193→            led_to_conversion_bool: converted,\n   194→            lead_final_outcome: converted ? 'won' : 'lost',\n   195→            days_to_outcome: daysToOutcome,\n   196→            updated_at: new Date().toISOString()\n   197→          })\n   198→          .eq('id', response.id);\n   199→      }\n   200→    }\n   201→  } catch (error) {\n   202→    console.error('Error updating objection outcomes:', error);\n   203→  }\n   204→}\n   205→\n   206→/**\n   207→ * Analyze objection impact across all deals\n   208→ */\n   209→async function analyzeObjectionImpact() {\n   210→  try {\n   211→    const { data, error } = await db\n   212→      .from('objection_impact_stats')\n   213→      .select('*')\n   214→      .order('conversion_rate', { ascending: false });\n   215→\n   216→    if (error) {\n   217→      console.error('Error fetching objection impact:', error);\n   218→      return { success: false, error: error.message };\n   219→    }\n   220→\n   221→    return {\n   222→      success: true,\n   223→      objections: data || []\n   224→    };\n   225→  } catch (error) {\n   226→    console.error('Error in analyzeObjectionImpact:', error);\n   227→    return { success: false, error: error.message };\n   228→  }\n   229→}\n   230→\n   231→/**\n   232→ * Find winning responses for a specific objection type\n   233→ */\n   234→async function findWinningResponses(objectionType) {\n   235→  try {\n   236→    const { data, error } = await db\n   237→      .from('objection_responses')\n   238→      .select('response_text, times_shown, effectiveness_score, led_to_conversion')\n   239→      .eq('objection_type', objectionType)\n   240→      .eq('led_to_conversion_bool', true)\n   241→      .order('effectiveness_score', { ascending: false })\n   242→      .limit(5);\n   243→\n   244→    if (error) {\n   245→      console.error('Error finding winning responses:', error);\n   246→      return { success: false, error: error.message };\n   247→    }\n   248→\n   249→    return {\n   250→      success: true,\n   251→      responses: (data || []).map(r => ({\n   252→        response: r.response_text,\n   253→        timesUsed: r.times_shown,\n   254→        effectivenessScore: r.effectiveness_score,\n   255→        conversions: r.led_to_conversion\n   256→      }))\n   257→    };\n   258→  } catch (error) {\n   259→    console.error('Error in findWinningResponses:', error);\n   260→    return { success: false, error: error.message };\n   261→  }\n   262→}\n   263→\n   264→/**\n   265→ * Calculate deal velocity statistics\n   266→ */\n   267→async function getDealVelocity(options = {}) {\n   268→  const { startDate, endDate, userId } = options;\n   269→\n   270→  try {\n   271→    let query = db\n   272→      .from('deal_outcomes')\n   273→      .select('time_to_close_days, touchpoints_count, deal_value')\n   274→      .eq('outcome', 'won');\n   275→\n   276→    if (startDate) {\n   277→      query = query.gte('recorded_at', startDate);\n   278→    }\n   279→    if (endDate) {\n   280→      query = query.lte('recorded_at', endDate);\n   281→    }\n   282→    if (userId) {\n   283→      query = query.eq('recorded_by', userId);\n   284→    }\n   285→\n   286→    const { data, error } = await query;\n   287→\n   288→    if (error) {\n   289→      console.error('Error fetching deal velocity:', error);\n   290→      return { success: false, error: error.message };\n   291→    }\n   292→\n   293→    const deals = data || [];\n   294→\n   295→    if (deals.length === 0) {\n   296→      return {\n   297→        success: true,\n   298→        velocity: {\n   299→          avgDaysToClose: 0,\n   300→          avgTouchpoints: 0,\n   301→          avgDealValue: 0,\n   302→          totalDeals: 0,\n   303→          fastDeals: 0, // <2 days\n   304→          normalDeals: 0, // 2-7 days\n   305→          slowDeals: 0 // >7 days\n   306→        }\n   307→      };\n   308→    }\n   309→\n   310→    const avgDaysToClose = deals.reduce((sum, d) => sum + (d.time_to_close_days || 0), 0) / deals.length;\n   311→    const avgTouchpoints = deals.reduce((sum, d) => sum + (d.touchpoints_count || 0), 0) / deals.length;\n   312→    const avgDealValue = deals.reduce((sum, d) => sum + (parseFloat(d.deal_value) || 0), 0) / deals.length;\n   313→\n   314→    const fastDeals = deals.filter(d => d.time_to_close_days && d.time_to_close_days < 2).length;\n   315→    const normalDeals = deals.filter(d => d.time_to_close_days && d.time_to_close_days >= 2 && d.time_to_close_days <= 7).length;\n   316→    const slowDeals = deals.filter(d => d.time_to_close_days && d.time_to_close_days > 7).length;\n   317→\n   318→    return {\n   319→      success: true,\n   320→      velocity: {\n   321→        avgDaysToClose: Math.round(avgDaysToClose * 10) / 10,\n   322→        avgTouchpoints: Math.round(avgTouchpoints * 10) / 10,\n   323→        avgDealValue: Math.round(avgDealValue * 100) / 100,\n   324→        totalDeals: deals.length,\n   325→        fastDeals,\n   326→        normalDeals,\n   327→        slowDeals\n   328→      }\n   329→    };\n   330→  } catch (error) {\n   331→    console.error('Error in getDealVelocity:', error);\n   332→    return { success: false, error: error.message };\n   333→  }\n   334→}\n   335→\n   336→/**\n   337→ * Predict if a lead is at risk of stalling\n   338→ */\n   339→async function predictStall(leadId) {\n   340→  try {\n   341→    // Get lead data (specific columns for performance)\n   342→    const { data: lead } = await db\n   343→      .from('leads')\n   344→      .select('id, score, status, updated_at')\n   345→      .eq('id', leadId)\n   346→      .single();\n   347→\n   348→    if (!lead) {\n   349→      return { success: false, error: 'Lead not found' };\n   350→    }\n   351→\n   352→    // Get communications (specific columns for performance)\n   353→    const { data: comms } = await db\n   354→      .from('communications')\n   355→      .select('direction, created_at')\n   356→      .eq('lead_id', leadId)\n   357→      .order('created_at', { ascending: false });\n   358→\n   359→    // Get callbacks (just check existence)\n   360→    const { data: callbacks } = await db\n   361→      .from('callbacks')\n   362→      .select('id')\n   363→      .eq('lead_id', leadId)\n   364→      .eq('status', 'pending')\n   365→      .gte('callback_time', new Date().toISOString());\n   366→\n   367→    const signals = [];\n   368→    const now = new Date();\n   369→\n   370→    // Signal 1: No response in 3+ days\n   371→    const lastInbound = (comms || []).find(c => c.direction === 'inbound');\n   372→    if (lastInbound) {\n   373→      const daysSinceResponse = Math.ceil((now - new Date(lastInbound.created_at)) / (1000 * 60 * 60 * 24));\n   374→      if (daysSinceResponse > 3) {\n   375→        signals.push({\n   376→          risk: 'high',\n   377→          reason: `No response in ${daysSinceResponse} days`,\n   378→          weight: 30\n   379→        });\n   380→      }\n   381→    } else if (comms && comms.length > 0) {\n   382→      // No inbound ever\n   383→      signals.push({\n   384→        risk: 'medium',\n   385→        reason: 'Never received a response',\n   386→        weight: 20\n   387→      });\n   388→    }\n   389→\n   390→    // Signal 2: No callback scheduled\n   391→    if (!callbacks || callbacks.length === 0) {\n   392→      signals.push({\n   393→        risk: 'medium',\n   394→        reason: 'No callback scheduled',\n   395→        weight: 15\n   396→      });\n   397→    }\n   398→\n   399→    // Signal 3: Multiple unanswered outreach\n   400→    const outbound = (comms || []).filter(c => c.direction === 'outbound');\n   401→    const unansweredCount = outbound.filter((c, i) => {\n   402→      // Check if next message is inbound (response)\n   403→      const nextComm = (comms || [])[i + 1];\n   404→      return !nextComm || nextComm.direction !== 'inbound';\n   405→    }).length;\n   406→\n   407→    if (unansweredCount >= 3) {\n   408→      signals.push({\n   409→        risk: 'high',\n   410→        reason: `${unansweredCount} unanswered messages`,\n   411→        weight: 25\n   412→      });\n   413→    }\n   414→\n   415→    // Signal 4: Score declining\n   416→    if (lead.score && lead.score < 30) {\n   417→      signals.push({\n   418→        risk: 'medium',\n   419→        reason: `Low lead score (${lead.score})`,\n   420→        weight: 15\n   421→      });\n   422→    }\n   423→\n   424→    // Signal 5: Status is stale\n   425→    if (lead.status === 'contacted' || lead.status === 'cold') {\n   426→      const lastActivity = comms?.[0]?.created_at || lead.updated_at;\n   427→      const daysSinceActivity = Math.ceil((now - new Date(lastActivity)) / (1000 * 60 * 60 * 24));\n   428→      if (daysSinceActivity > 5) {\n   429→        signals.push({\n   430→          risk: 'medium',\n   431→          reason: `No activity in ${daysSinceActivity} days`,\n   432→          weight: 20\n   433→        });\n   434→      }\n   435→    }\n   436→\n   437→    // Calculate stall probability\n   438→    const totalWeight = signals.reduce((sum, s) => sum + s.weight, 0);\n   439→    const stallProbability = Math.min(100, totalWeight);\n   440→\n   441→    // Generate recommendation\n   442→    let recommendation = null;\n   443→    if (stallProbability >= 70) {\n   444→      recommendation = 'Urgent: Call immediately or try a different approach';\n   445→    } else if (stallProbability >= 50) {\n   446→      recommendation = 'Schedule a callback and try a personalized message';\n   447→    } else if (stallProbability >= 30) {\n   448→      recommendation = 'Send a follow-up message with a new value proposition';\n   449→    }\n   450→\n   451→    return {\n   452→      success: true,\n   453→      prediction: {\n   454→        stallProbability,\n   455→        riskLevel: stallProbability >= 70 ? 'high' : stallProbability >= 40 ? 'medium' : 'low',\n   456→        signals,\n   457→        recommendation\n   458→      }\n   459→    };\n   460→  } catch (error) {\n   461→    console.error('Error in predictStall:', error);\n   462→    return { success: false, error: error.message };\n   463→  }\n   464→}\n   465→\n   466→/**\n   467→ * Get loss reason breakdown\n   468→ */\n   469→async function getLossReasons(options = {}) {\n   470→  const { startDate, endDate } = options;\n   471→\n   472→  try {\n   473→    let query = db\n   474→      .from('deal_outcomes')\n   475→      .select('primary_reason')\n   476→      .eq('outcome', 'lost')\n   477→      .not('primary_reason', 'is', null);\n   478→\n   479→    if (startDate) {\n   480→      query = query.gte('recorded_at', startDate);\n   481→    }\n   482→    if (endDate) {\n   483→      query = query.lte('recorded_at', endDate);\n   484→    }\n   485→\n   486→    const { data, error } = await query;\n   487→\n   488→    if (error) {\n   489→      console.error('Error fetching loss reasons:', error);\n   490→      return { success: false, error: error.message };\n   491→    }\n   492→\n   493→    // Count by reason\n   494→    const counts = {};\n   495→    (data || []).forEach(d => {\n   496→      counts[d.primary_reason] = (counts[d.primary_reason] || 0) + 1;\n   497→    });\n   498→\n   499→    const total = data?.length || 0;\n   500→    const reasons = Object.entries(counts)\n   501→      .map(([reason, count]) => ({\n   502→        reason,\n   503→        count,\n   504→        percentage: total > 0 ? Math.round((count / total) * 100) : 0\n   505→      }))\n   506→      .sort((a, b) => b.count - a.count);\n   507→\n   508→    return {\n   509→      success: true,\n   510→      total,\n   511→      reasons\n   512→    };\n   513→  } catch (error) {\n   514→    console.error('Error in getLossReasons:', error);\n   515→    return { success: false, error: error.message };\n   516→  }\n   517→}\n   518→\n   519→/**\n   520→ * Get list of configured loss reasons for UI\n   521→ */\n   522→async function getLossReasonOptions() {\n   523→  try {\n   524→    const { data, error } = await db\n   525→      .from('loss_reasons')\n   526→      .select('reason, category')\n   527→      .eq('is_active', true)\n   528→      .order('display_order', { ascending: true });\n   529→\n   530→    if (error) {\n   531→      console.error('Error fetching loss reason options:', error);\n   532→      return { success: false, error: error.message };\n   533→    }\n   534→\n   535→    return {\n   536→      success: true,\n   537→      reasons: data || []\n   538→    };\n   539→  } catch (error) {\n   540→    console.error('Error in getLossReasonOptions:', error);\n   541→    return { success: false, error: error.message };\n   542→  }\n   543→}\n   544→\n   545→/**\n   546→ * Get deals at risk of stalling\n   547→ */\n   548→async function getDealsAtRisk(limit = 10) {\n   549→  try {\n   550→    // Get active leads\n   551→    const { data: leads, error } = await db\n   552→      .from('leads')\n   553→      .select('id, first_name, last_name, company, score, status, updated_at')\n   554→      .in('status', ['new', 'contacted', 'warm', 'cold'])\n   555→      .order('score', { ascending: false })\n   556→      .limit(50);\n   557→\n   558→    if (error) {\n   559→      console.error('Error fetching leads:', error);\n   560→      return { success: false, error: error.message };\n   561→    }\n   562→\n   563→    // Predict stall for each lead\n   564→    const atRisk = [];\n   565→    for (const lead of (leads || [])) {\n   566→      const prediction = await predictStall(lead.id);\n   567→      if (prediction.success && prediction.prediction.stallProbability >= 40) {\n   568→        atRisk.push({\n   569→          leadId: lead.id,\n   570→          name: `${lead.first_name || ''} ${lead.last_name || ''}`.trim() || lead.company,\n   571→          company: lead.company,\n   572→          score: lead.score,\n   573→          status: lead.status,\n   574→          ...prediction.prediction\n   575→        });\n   576→      }\n   577→    }\n   578→\n   579→    // Sort by risk and return top N\n   580→    return {\n   581→      success: true,\n   582→      dealsAtRisk: atRisk\n   583→        .sort((a, b) => b.stallProbability - a.stallProbability)\n   584→        .slice(0, limit)\n   585→    };\n   586→  } catch (error) {\n   587→    console.error('Error in getDealsAtRisk:', error);\n   588→    return { success: false, error: error.message };\n   589→  }\n   590→}\n   591→\n   592→module.exports = {\n   593→  recordStageTransition,\n   594→  recordDealOutcome,\n   595→  analyzeObjectionImpact,\n   596→  findWinningResponses,\n   597→  getDealVelocity,\n   598→  predictStall,\n   599→  getLossReasons,\n   600→  getLossReasonOptions,\n   601→  getDealsAtRisk\n   602→};\n   603→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"0e5c2479-71ec-4c91-8cc4-f9e5797d644f","timestamp":"2026-02-07T05:52:12.439Z","sourceToolAssistantUUID":"00a905a8-ba2c-42f6-88b1-bc3762bda380"}
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{"parentUuid":"60bfb52e-ba4a-4b66-ab62-35d5be0dbb0d","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Pij3H3oLSD8Agio7Cvib9r","type":"tool_result","content":"     1→/**\n     2→ * Self-Improvement Service\n     3→ * Automatically adjusts thresholds and learns from system performance\n     4→ *\n     5→ * Part of the 0.1% Intelligence System\n     6→ */\n     7→\n     8→const { supabase, supabaseAdmin } = require('../config/database');\n     9→const { sendSlackMessage } = require('./slack');\n    10→\n    11→const db = supabaseAdmin || supabase;\n    12→\n    13→// Default threshold configuration (stored in database for persistence)\n    14→const DEFAULT_THRESHOLDS = {\n    15→  // Friction detection\n    16→  rage_clicks_per_minute: 3,\n    17→  errors_per_5min: 10,\n    18→  abandonment_rate_spike: 50,\n    19→\n    20→  // API monitoring\n    21→  api_failures_per_5min: 5,\n    22→  sms_failure_rate: 20,\n    23→  slow_api_threshold_ms: 5000,\n    24→\n    25→  // AI quality\n    26→  min_suggestion_confidence: 0.6,\n    27→  ai_quality_target: 70, // Target 70% success rate\n    28→};\n    29→\n    30→/**\n    31→ * Get current thresholds from database (or defaults)\n    32→ */\n    33→async function getThresholds() {\n    34→  const { data, error } = await db\n    35→    .from('system_settings')\n    36→    .select('value')\n    37→    .eq('key', 'intelligence_thresholds')\n    38→    .single();\n    39→\n    40→  if (error) {\n    41→    // PGRST116 is \"no rows\" which is expected on first run\n    42→    if (error.code !== 'PGRST116') {\n    43→      console.error('[SelfImprovement] Error fetching thresholds:', error);\n    44→    }\n    45→    return DEFAULT_THRESHOLDS;\n    46→  }\n    47→\n    48→  return data?.value ? { ...DEFAULT_THRESHOLDS, ...data.value } : DEFAULT_THRESHOLDS;\n    49→}\n    50→\n    51→/**\n    52→ * Save updated thresholds to database\n    53→ */\n    54→async function saveThresholds(thresholds, changes, reason) {\n    55→  try {\n    56→    // Upsert thresholds\n    57→    const { error: upsertError } = await db\n    58→      .from('system_settings')\n    59→      .upsert({\n    60→        key: 'intelligence_thresholds',\n    61→        value: thresholds,\n    62→        updated_at: new Date().toISOString()\n    63→      }, { onConflict: 'key' });\n    64→\n    65→    if (upsertError) {\n    66→      console.error('[SelfImprovement] Failed to upsert thresholds:', upsertError);\n    67→      return false;\n    68→    }\n    69→\n    70→    // Log the adjustment\n    71→    const { error: insertError } = await db\n    72→      .from('intelligence_adjustments')\n    73→      .insert({\n    74→        adjustment_type: 'threshold',\n    75→        changes: changes,\n    76→        reason: reason,\n    77→        created_at: new Date().toISOString()\n    78→      });\n    79→\n    80→    if (insertError) {\n    81→      console.error('[SelfImprovement] Failed to log adjustment:', insertError);\n    82→      // Continue anyway - threshold was saved, just logging failed\n    83→    }\n    84→\n    85→    console.log('[SelfImprovement] Thresholds updated:', changes);\n    86→    return true;\n    87→  } catch (error) {\n    88→    console.error('[SelfImprovement] Failed to save thresholds:', error);\n    89→    return false;\n    90→  }\n    91→}\n    92→\n    93→/**\n    94→ * Analyze recent suggestion performance\n    95→ */\n    96→async function analyzeSuggestionPerformance() {\n    97→  const thirtyDaysAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString();\n    98→\n    99→  const { data: suggestions, error } = await db\n   100→    .from('intelligence_suggestions')\n   101→    .select('*')\n   102→    .gte('created_at', thirtyDaysAgo);\n   103→\n   104→  if (error) {\n   105→    console.error('[SelfImprovement] Error fetching suggestions:', error);\n   106→    return { hasEnoughData: false };\n   107→  }\n   108→\n   109→  if (!suggestions || suggestions.length < 10) {\n   110→    return { hasEnoughData: false };\n   111→  }\n   112→\n   113→  const implemented = suggestions.filter(s => s.status === 'implemented');\n   114→  const successful = implemented.filter(s => s.success_verdict === 'success');\n   115→  const failed = implemented.filter(s => s.success_verdict === 'failed');\n   116→\n   117→  const successRate = implemented.length > 0\n   118→    ? (successful.length / implemented.length) * 100\n   119→    : 0;\n   120→\n   121→  const implementationRate = (implemented.length / suggestions.length) * 100;\n   122→\n   123→  // Analyze by category\n   124→  const byCategory = {};\n   125→  suggestions.forEach(s => {\n   126→    const cat = s.category || 'unknown';\n   127→    if (!byCategory[cat]) {\n   128→      byCategory[cat] = { total: 0, implemented: 0, successful: 0 };\n   129→    }\n   130→    byCategory[cat].total++;\n   131→    if (s.status === 'implemented') {\n   132→      byCategory[cat].implemented++;\n   133→      if (s.success_verdict === 'success') {\n   134→        byCategory[cat].successful++;\n   135→      }\n   136→    }\n   137→  });\n   138→\n   139→  // Find best and worst performing categories\n   140→  const categoryStats = Object.entries(byCategory).map(([cat, stats]) => ({\n   141→    category: cat,\n   142→    ...stats,\n   143→    successRate: stats.implemented > 0 ? (stats.successful / stats.implemented) * 100 : 0\n   144→  })).sort((a, b) => b.successRate - a.successRate);\n   145→\n   146→  return {\n   147→    hasEnoughData: true,\n   148→    total: suggestions.length,\n   149→    implemented: implemented.length,\n   150→    successful: successful.length,\n   151→    failed: failed.length,\n   152→    successRate: Math.round(successRate),\n   153→    implementationRate: Math.round(implementationRate),\n   154→    byCategory: categoryStats,\n   155→    bestCategory: categoryStats[0],\n   156→    worstCategory: categoryStats[categoryStats.length - 1]\n   157→  };\n   158→}\n   159→\n   160→/**\n   161→ * Analyze friction detection accuracy\n   162→ */\n   163→async function analyzeFrictionAccuracy() {\n   164→  const thirtyDaysAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString();\n   165→\n   166→  const { data: frictions, error } = await db\n   167→    .from('detected_friction')\n   168→    .select('*')\n   169→    .gte('created_at', thirtyDaysAgo);\n   170→\n   171→  if (error) {\n   172→    console.error('[SelfImprovement] Error fetching frictions:', error);\n   173→    return { hasEnoughData: false };\n   174→  }\n   175→\n   176→  if (!frictions || frictions.length < 5) {\n   177→    return { hasEnoughData: false };\n   178→  }\n   179→\n   180→  const resolved = frictions.filter(f => f.status === 'resolved');\n   181→  const falsePositives = frictions.filter(f => f.status === 'rejected');\n   182→\n   183→  const accuracyRate = frictions.length > 0\n   184→    ? ((frictions.length - falsePositives.length) / frictions.length) * 100\n   185→    : 100;\n   186→\n   187→  // Analyze by type\n   188→  const byType = {};\n   189→  frictions.forEach(f => {\n   190→    const type = f.friction_type || 'unknown';\n   191→    if (!byType[type]) {\n   192→      byType[type] = { total: 0, resolved: 0, rejected: 0 };\n   193→    }\n   194→    byType[type].total++;\n   195→    if (f.status === 'resolved') byType[type].resolved++;\n   196→    if (f.status === 'rejected') byType[type].rejected++;\n   197→  });\n   198→\n   199→  return {\n   200→    hasEnoughData: true,\n   201→    total: frictions.length,\n   202→    resolved: resolved.length,\n   203→    falsePositives: falsePositives.length,\n   204→    accuracyRate: Math.round(accuracyRate),\n   205→    byType\n   206→  };\n   207→}\n   208→\n   209→/**\n   210→ * Auto-adjust thresholds based on performance data\n   211→ */\n   212→async function autoAdjustThresholds() {\n   213→  console.log('\\n[SelfImprovement] Running auto-adjustment analysis...');\n   214→\n   215→  const currentThresholds = await getThresholds();\n   216→  const suggestionPerf = await analyzeSuggestionPerformance();\n   217→  const frictionPerf = await analyzeFrictionAccuracy();\n   218→\n   219→  const adjustments = [];\n   220→  const newThresholds = { ...currentThresholds };\n   221→\n   222→  // Check suggestion performance\n   223→  if (suggestionPerf.hasEnoughData) {\n   224→    // If success rate is below target, increase confidence threshold\n   225→    if (suggestionPerf.successRate < currentThresholds.ai_quality_target) {\n   226→      const increase = Math.min(0.1, (currentThresholds.ai_quality_target - suggestionPerf.successRate) / 100);\n   227→      newThresholds.min_suggestion_confidence = Math.min(0.9, currentThresholds.min_suggestion_confidence + increase);\n   228→\n   229→      adjustments.push({\n   230→        threshold: 'min_suggestion_confidence',\n   231→        old: currentThresholds.min_suggestion_confidence,\n   232→        new: newThresholds.min_suggestion_confidence,\n   233→        reason: `Success rate (${suggestionPerf.successRate}%) below target (${currentThresholds.ai_quality_target}%)`\n   234→      });\n   235→    }\n   236→\n   237→    // If success rate is significantly above target, can slightly decrease confidence threshold\n   238→    if (suggestionPerf.successRate > currentThresholds.ai_quality_target + 15) {\n   239→      const decrease = 0.05;\n   240→      newThresholds.min_suggestion_confidence = Math.max(0.5, currentThresholds.min_suggestion_confidence - decrease);\n   241→\n   242→      adjustments.push({\n   243→        threshold: 'min_suggestion_confidence',\n   244→        old: currentThresholds.min_suggestion_confidence,\n   245→        new: newThresholds.min_suggestion_confidence,\n   246→        reason: `Success rate (${suggestionPerf.successRate}%) significantly above target`\n   247→      });\n   248→    }\n   249→  }\n   250→\n   251→  // Check friction detection accuracy\n   252→  if (frictionPerf.hasEnoughData) {\n   253→    // If too many false positives for rage clicks, increase threshold\n   254→    const rageClickFP = frictionPerf.byType?.rage_clicks?.rejected || 0;\n   255→    const rageClickTotal = frictionPerf.byType?.rage_clicks?.total || 1;\n   256→    const rageFPRate = (rageClickFP / rageClickTotal) * 100;\n   257→\n   258→    if (rageFPRate > 30) {\n   259→      newThresholds.rage_clicks_per_minute = Math.min(10, currentThresholds.rage_clicks_per_minute + 1);\n   260→\n   261→      adjustments.push({\n   262→        threshold: 'rage_clicks_per_minute',\n   263→        old: currentThresholds.rage_clicks_per_minute,\n   264→        new: newThresholds.rage_clicks_per_minute,\n   265→        reason: `High false positive rate (${Math.round(rageFPRate)}%) for rage clicks`\n   266→      });\n   267→    }\n   268→\n   269→    // If too many false positives for errors, increase threshold\n   270→    const errorFP = frictionPerf.byType?.error_prone?.rejected || 0;\n   271→    const errorTotal = frictionPerf.byType?.error_prone?.total || 1;\n   272→    const errorFPRate = (errorFP / errorTotal) * 100;\n   273→\n   274→    if (errorFPRate > 30) {\n   275→      newThresholds.errors_per_5min = Math.min(25, currentThresholds.errors_per_5min + 2);\n   276→\n   277→      adjustments.push({\n   278→        threshold: 'errors_per_5min',\n   279→        old: currentThresholds.errors_per_5min,\n   280→        new: newThresholds.errors_per_5min,\n   281→        reason: `High false positive rate (${Math.round(errorFPRate)}%) for error detection`\n   282→      });\n   283→    }\n   284→  }\n   285→\n   286→  // Apply adjustments if any\n   287→  if (adjustments.length > 0) {\n   288→    await saveThresholds(newThresholds, adjustments, 'auto_adjustment');\n   289→\n   290→    // Notify via Slack\n   291→    const adjustmentList = adjustments.map(a =>\n   292→      `• ${a.threshold}: ${a.old} → ${a.new} (${a.reason})`\n   293→    ).join('\\n');\n   294→\n   295→    await sendSlackMessage({\n   296→      text: `:gear: *Self-Improvement: Threshold Adjustments*\\n\\n${adjustmentList}\\n\\n_Auto-adjusted based on 30-day performance data_`\n   297→    });\n   298→  }\n   299→\n   300→  return {\n   301→    adjustmentsMade: adjustments.length,\n   302→    adjustments,\n   303→    suggestionPerformance: suggestionPerf,\n   304→    frictionAccuracy: frictionPerf\n   305→  };\n   306→}\n   307→\n   308→/**\n   309→ * Learn from successful suggestions to improve future recommendations\n   310→ */\n   311→async function learnFromSuccess() {\n   312→  console.log('[SelfImprovement] Analyzing successful suggestions...');\n   313→\n   314→  // Get successful suggestions from last 90 days\n   315→  const ninetyDaysAgo = new Date(Date.now() - 90 * 24 * 60 * 60 * 1000).toISOString();\n   316→\n   317→  const { data: successfulSuggestions, error } = await db\n   318→    .from('intelligence_suggestions')\n   319→    .select('*')\n   320→    .eq('status', 'implemented')\n   321→    .eq('success_verdict', 'success')\n   322→    .gte('created_at', ninetyDaysAgo);\n   323→\n   324→  if (error) {\n   325→    console.error('[SelfImprovement] Error fetching successful suggestions:', error);\n   326→    return { patternsFound: 0 };\n   327→  }\n   328→\n   329→  if (!successfulSuggestions || successfulSuggestions.length === 0) {\n   330→    return { patternsFound: 0 };\n   331→  }\n   332→\n   333→  // Extract patterns from successful suggestions\n   334→  const patterns = {\n   335→    categories: {},\n   336→    impactTypes: {},\n   337→    avgImpact: 0,\n   338→    commonKeywords: {}\n   339→  };\n   340→\n   341→  let totalImpact = 0;\n   342→\n   343→  successfulSuggestions.forEach(s => {\n   344→    // Track categories\n   345→    const cat = s.category || 'unknown';\n   346→    patterns.categories[cat] = (patterns.categories[cat] || 0) + 1;\n   347→\n   348→    // Track impact\n   349→    if (s.measured_impact) {\n   350→      totalImpact += s.measured_impact;\n   351→    }\n   352→\n   353→    // Extract keywords from title/description\n   354→    const text = `${s.title || ''} ${s.description || ''}`.toLowerCase();\n   355→    const keywords = text.match(/\\b\\w{4,}\\b/g) || [];\n   356→    keywords.forEach(kw => {\n   357→      patterns.commonKeywords[kw] = (patterns.commonKeywords[kw] || 0) + 1;\n   358→    });\n   359→  });\n   360→\n   361→  patterns.avgImpact = successfulSuggestions.length > 0\n   362→    ? Math.round(totalImpact / successfulSuggestions.length)\n   363→    : 0;\n   364→\n   365→  // Store learned patterns\n   366→  const { error: upsertError } = await db\n   367→    .from('system_settings')\n   368→    .upsert({\n   369→      key: 'learned_success_patterns',\n   370→      value: {\n   371→        patterns,\n   372→        updatedAt: new Date().toISOString(),\n   373→        basedOn: successfulSuggestions.length\n   374→      }\n   375→    }, { onConflict: 'key' });\n   376→\n   377→  if (upsertError) {\n   378→    console.error('[SelfImprovement] Failed to save patterns:', upsertError);\n   379→  }\n   380→\n   381→  return {\n   382→    patternsFound: Object.keys(patterns.categories).length,\n   383→    topCategories: Object.entries(patterns.categories)\n   384→      .sort((a, b) => b[1] - a[1])\n   385→      .slice(0, 5),\n   386→    avgImpact: patterns.avgImpact,\n   387→    suggestionCount: successfulSuggestions.length\n   388→  };\n   389→}\n   390→\n   391→/**\n   392→ * Generate self-improvement report\n   393→ */\n   394→async function generateSelfImprovementReport() {\n   395→  const adjustmentResult = await autoAdjustThresholds();\n   396→  const learningResult = await learnFromSuccess();\n   397→\n   398→  const report = {\n   399→    timestamp: new Date().toISOString(),\n   400→    thresholdAdjustments: adjustmentResult,\n   401→    patternLearning: learningResult,\n   402→    summary: []\n   403→  };\n   404→\n   405→  // Generate summary\n   406→  if (adjustmentResult.adjustmentsMade > 0) {\n   407→    report.summary.push(`Made ${adjustmentResult.adjustmentsMade} threshold adjustment(s)`);\n   408→  }\n   409→\n   410→  if (adjustmentResult.suggestionPerformance?.hasEnoughData) {\n   411→    report.summary.push(`AI suggestion success rate: ${adjustmentResult.suggestionPerformance.successRate}%`);\n   412→  }\n   413→\n   414→  if (adjustmentResult.frictionAccuracy?.hasEnoughData) {\n   415→    report.summary.push(`Friction detection accuracy: ${adjustmentResult.frictionAccuracy.accuracyRate}%`);\n   416→  }\n   417→\n   418→  if (learningResult.patternsFound > 0) {\n   419→    report.summary.push(`Learned from ${learningResult.suggestionCount} successful suggestions`);\n   420→  }\n   421→\n   422→  return report;\n   423→}\n   424→\n   425→module.exports = {\n   426→  getThresholds,\n   427→  saveThresholds,\n   428→  analyzeSuggestionPerformance,\n   429→  analyzeFrictionAccuracy,\n   430→  autoAdjustThresholds,\n   431→  learnFromSuccess,\n   432→  generateSelfImprovementReport,\n   433→  DEFAULT_THRESHOLDS\n   434→};\n   435→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"72a55a89-8ec4-4487-bfd9-64d7c0700f2f","timestamp":"2026-02-07T05:52:12.615Z","sourceToolAssistantUUID":"60bfb52e-ba4a-4b66-ab62-35d5be0dbb0d"}
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{"parentUuid":"d3d36914-b0ba-489a-8609-99887420de5f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QHUXruAUUDj2GEjukDbESs","type":"tool_result","content":"     1→/**\n     2→ * RateRight Platform Sync Service\n     3→ * Syncs users from RateRight Admin API to Growth Engine CRM\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→const { fetchWithTimeout, isTimeoutError } = require('../utils/fetchWithTimeout');\n     8→const { normalizeAustralianPhone } = require('../utils/phone');\n     9→const logger = require('../utils/logger');\n    10→const {\n    11→  calculateWorkerStage,\n    12→  calculateContractorStage,\n    13→  calculateHealthScore,\n    14→  logStageTransition,\n    15→} = require('./stageCalculator');\n    16→\n    17→// Configuration from environment\n    18→const PLATFORM_API_URL = process.env.RATERIGHT_API_URL || 'https://rateright.com.au/api';\n    19→const PLATFORM_API_KEY = process.env.RATERIGHT_ADMIN_API_KEY;\n    20→\n    21→// Score boost for re-engaged users\n    22→const RE_ENGAGEMENT_SCORE_BOOST = 50;\n    23→\n    24→/**\n    25→ * Make authenticated request to Platform API\n    26→ */\n    27→async function platformRequest(endpoint, options = {}) {\n    28→  if (!PLATFORM_API_KEY) {\n    29→    throw new Error('RATERIGHT_ADMIN_API_KEY not configured');\n    30→  }\n    31→\n    32→  const url = `${PLATFORM_API_URL}${endpoint}`;\n    33→\n    34→  try {\n    35→    const response = await fetchWithTimeout(url, {\n    36→      ...options,\n    37→      headers: {\n    38→        'X-API-Key': PLATFORM_API_KEY,\n    39→        'Content-Type': 'application/json',\n    40→        ...options.headers,\n    41→      },\n    42→    }, 30000); // 30 second timeout for database queries\n    43→\n    44→    if (!response.ok) {\n    45→      const errorText = await response.text();\n    46→      throw new Error(`Platform API error ${response.status}: ${errorText}`);\n    47→    }\n    48→\n    49→    return response.json();\n    50→  } catch (error) {\n    51→    if (isTimeoutError(error)) {\n    52→      throw new Error('Platform API request timed out after 30 seconds');\n    53→    }\n    54→    throw error;\n    55→  }\n    56→}\n    57→\n    58→/**\n    59→ * Fetch all users from Platform Admin API\n    60→ */\n    61→async function fetchPlatformUsers() {\n    62→  try {\n    63→    const data = await platformRequest('/admin/users');\n    64→    // Handle both array response and { users: [] } response\n    65→    return Array.isArray(data) ? data : (data.users || []);\n    66→  } catch (error) {\n    67→    logger.error('Failed to fetch platform users', { error: error.message });\n    68→    throw error;\n    69→  }\n    70→}\n    71→\n    72→/**\n    73→ * Fetch platform stats\n    74→ */\n    75→async function fetchPlatformStats() {\n    76→  try {\n    77→    return await platformRequest('/admin/stats');\n    78→  } catch (error) {\n    79→    logger.error('Failed to fetch platform stats', { error: error.message });\n    80→    throw error;\n    81→  }\n    82→}\n    83→\n    84→/**\n    85→ * Fetch jobs from Platform Admin API\n    86→ */\n    87→async function fetchPlatformJobs() {\n    88→  try {\n    89→    const data = await platformRequest('/admin/jobs');\n    90→    // Handle paginated response\n    91→    return data.jobs || (Array.isArray(data) ? data : []);\n    92→  } catch (error) {\n    93→    logger.warn('Failed to fetch platform jobs', { error: error.message });\n    94→    return [];\n    95→  }\n    96→}\n    97→\n    98→/**\n    99→ * Fetch contracts from Platform Admin API\n   100→ */\n   101→async function fetchPlatformContracts() {\n   102→  try {\n   103→    const data = await platformRequest('/admin/contracts');\n   104→    // Handle paginated response\n   105→    return data.contracts || (Array.isArray(data) ? data : []);\n   106→  } catch (error) {\n   107→    logger.warn('Failed to fetch platform contracts', { error: error.message });\n   108→    return [];\n   109→  }\n   110→}\n   111→\n   112→/**\n   113→ * Get jobs for a specific user\n   114→ */\n   115→function getUserJobs(allJobs, platformUserId) {\n   116→  return allJobs.filter(j => j.contractor_id === platformUserId);\n   117→}\n   118→\n   119→/**\n   120→ * Get contracts for a specific user\n   121→ */\n   122→function getUserContracts(allContracts, platformUserId, role) {\n   123→  if (role === 'worker') {\n   124→    return allContracts.filter(c => c.worker_id === platformUserId);\n   125→  }\n   126→  return allContracts.filter(c => c.contractor_id === platformUserId);\n   127→}\n   128→\n   129→/**\n   130→ * Find existing lead by email or phone\n   131→ */\n   132→async function findExistingLead(email, phone) {\n   133→  if (!supabase) return null;\n   134→\n   135→  // Try email first\n   136→  if (email) {\n   137→    const { data } = await supabase\n   138→      .from('leads')\n   139→      .select('*')\n   140→      .eq('email', email.toLowerCase())\n   141→      .is('deleted_at', null)\n   142→      .single();\n   143→    if (data) return data;\n   144→  }\n   145→\n   146→  // Try phone\n   147→  if (phone) {\n   148→    const normalizedPhone = normalizeAustralianPhone(phone);\n   149→    if (normalizedPhone) {\n   150→      const { data } = await supabase\n   151→        .from('leads')\n   152→        .select('*')\n   153→        .eq('phone', normalizedPhone)\n   154→        .is('deleted_at', null)\n   155→        .single();\n   156→      if (data) return data;\n   157→    }\n   158→  }\n   159→\n   160→  return null;\n   161→}\n   162→\n   163→/**\n   164→ * Determine lead type from platform user role\n   165→ */\n   166→function getLeadType(platformUser) {\n   167→  const role = (platformUser.role || platformUser.type || '').toLowerCase();\n   168→\n   169→  if (role.includes('worker') || role === 'worker') {\n   170→    return 'worker';\n   171→  }\n   172→  if (role.includes('contractor') || role.includes('employer') || role === 'contractor') {\n   173→    return 'contractor';\n   174→  }\n   175→  // Default to contractor for business accounts\n   176→  if (platformUser.company || platformUser.business_name || platformUser.abn) {\n   177→    return 'contractor';\n   178→  }\n   179→  return 'unknown';\n   180→}\n   181→\n   182→/**\n   183→ * Sync a single platform user to CRM lead\n   184→ * Enhanced to store all platform data and calculate lifecycle stage\n   185→ */\n   186→async function syncPlatformUser(platformUser, allJobs = [], allContracts = []) {\n   187→  if (!supabase) {\n   188→    throw new Error('Database not configured');\n   189→  }\n   190→\n   191→  const email = platformUser.email?.toLowerCase();\n   192→  const phone = platformUser.phone_number\n   193→    ? normalizeAustralianPhone(platformUser.phone_number)\n   194→    : null;\n   195→\n   196→  // Must have at least email or phone\n   197→  if (!email && !phone) {\n   198→    return { success: false, reason: 'No email or phone' };\n   199→  }\n   200→\n   201→  const leadType = getLeadType(platformUser);\n   202→\n   203→  // Get user's jobs and contracts\n   204→  const userJobs = getUserJobs(allJobs, platformUser.id);\n   205→  const userContracts = getUserContracts(allContracts, platformUser.id, leadType);\n   206→\n   207→  // Calculate stage based on lead type\n   208→  const stage = leadType === 'worker'\n   209→    ? calculateWorkerStage(platformUser, userContracts)\n   210→    : calculateContractorStage(platformUser, userJobs, userContracts);\n   211→\n   212→  // Calculate health score\n   213→  const healthScore = calculateHealthScore(platformUser);\n   214→\n   215→  // Store all 35 platform fields\n   216→  const platformData = {\n   217→    id: platformUser.id,\n   218→    abn_number: platformUser.abn_number,\n   219→    account_status: platformUser.account_status,\n   220→    average_rating: platformUser.average_rating,\n   221→    business_name: platformUser.business_name,\n   222→    current_level: platformUser.current_level,\n   223→    date_created: platformUser.date_created,\n   224→    email: platformUser.email,\n   225→    first_name: platformUser.first_name,\n   226→    gst_registered: platformUser.gst_registered,\n   227→    insurance_expiry_date: platformUser.insurance_expiry_date,\n   228→    is_active: platformUser.is_active,\n   229→    jobs_completed: platformUser.jobs_completed,\n   230→    last_login: platformUser.last_login,\n   231→    last_name: platformUser.last_name,\n   232→    location: platformUser.location,\n   233→    phone_number: platformUser.phone_number,\n   234→    preferences: platformUser.preferences,\n   235→    primary_trade: platformUser.primary_trade,\n   236→    profile_picture: platformUser.profile_picture,\n   237→    public_liability_amount: platformUser.public_liability_amount,\n   238→    public_liability_insurance: platformUser.public_liability_insurance,\n   239→    response_rate: platformUser.response_rate,\n   240→    role: platformUser.role,\n   241→    seasonal_league: platformUser.seasonal_league,\n   242→    stripe_charges_enabled: platformUser.stripe_charges_enabled,\n   243→    stripe_onboarding_complete: platformUser.stripe_onboarding_complete,\n   244→    stripe_payouts_enabled: platformUser.stripe_payouts_enabled,\n   245→    total_points: platformUser.total_points,\n   246→    total_reviews: platformUser.total_reviews,\n   247→    username: platformUser.username,\n   248→    white_card_expiry: platformUser.white_card_expiry,\n   249→    white_card_number: platformUser.white_card_number,\n   250→    worker_control_level: platformUser.worker_control_level,\n   251→    workers_comp_insurance: platformUser.workers_comp_insurance,\n   252→    // Add computed data\n   253→    _jobs_count: userJobs.length,\n   254→    _contracts_count: userContracts.length,\n   255→    _synced_at: new Date().toISOString(),\n   256→  };\n   257→\n   258→  // Check for existing lead\n   259→  const existingLead = await findExistingLead(email, phone);\n   260→\n   261→  if (existingLead) {\n   262→    // Check if stage has changed\n   263→    const previousStage = existingLead.platform_stage;\n   264→    const stageChanged = previousStage && previousStage !== stage;\n   265→\n   266→    // Re-engagement! Update existing lead\n   267→    const updates = {\n   268→      // Store full platform data\n   269→      platform_data: platformData,\n   270→      platform_stage: stage,\n   271→      platform_health_score: healthScore,\n   272→      // Update metadata\n   273→      metadata: {\n   274→        ...(existingLead.metadata || {}),\n   275→        platform_user_id: platformUser.id,\n   276→        platform_role: platformUser.role,\n   277→        platform_synced_at: new Date().toISOString(),\n   278→        re_engaged: true,\n   279→        re_engaged_at: new Date().toISOString(),\n   280→        lead_type: leadType,\n   281→      },\n   282→      // Boost score for re-engagement\n   283→      score: Math.min(100, (existingLead.score || 0) + RE_ENGAGEMENT_SCORE_BOOST),\n   284→      updated_at: new Date().toISOString(),\n   285→    };\n   286→\n   287→    // Update stage_changed_at if stage changed\n   288→    if (stageChanged) {\n   289→      updates.stage_changed_at = new Date().toISOString();\n   290→    }\n   291→\n   292→    // If they have a company now and we didn't have one\n   293→    if ((platformUser.business_name || platformUser.company) && !existingLead.company) {\n   294→      updates.company = platformUser.business_name || platformUser.company;\n   295→    }\n   296→\n   297→    const { error } = await supabase\n   298→      .from('leads')\n   299→      .update(updates)\n   300→      .eq('id', existingLead.id);\n   301→\n   302→    if (error) {\n   303→      logger.error('Failed to update lead for re-engagement', { error: error.message, leadId: existingLead.id });\n   304→      return { success: false, reason: error.message };\n   305→    }\n   306→\n   307→    // Log stage transition if changed\n   308→    if (stageChanged) {\n   309→      await logStageTransition(existingLead.id, previousStage, stage, 'platform_sync', {\n   310→        healthScore,\n   311→        platformUserId: platformUser.id,\n   312→      });\n   313→    }\n   314→\n   315→    logger.info('Lead re-engaged from platform', {\n   316→      leadId: existingLead.id,\n   317→      leadType,\n   318→      stage,\n   319→      healthScore,\n   320→      stageChanged,\n   321→    });\n   322→\n   323→    return {\n   324→      success: true,\n   325→      action: 're_engaged',\n   326→      leadId: existingLead.id,\n   327→      leadType,\n   328→      stage,\n   329→      healthScore,\n   330→      previousScore: existingLead.score,\n   331→      newScore: updates.score,\n   332→    };\n   333→  }\n   334→\n   335→  // Create new lead\n   336→  const newLead = {\n   337→    first_name: platformUser.first_name || null,\n   338→    last_name: platformUser.last_name || null,\n   339→    email: email,\n   340→    phone: phone,\n   341→    company: platformUser.business_name || null,\n   342→    source: 'platform_signup',\n   343→    status: 'new',\n   344→    score: leadType === 'contractor' ? 30 : 20,\n   345→    // New platform fields\n   346→    platform_data: platformData,\n   347→    platform_stage: stage,\n   348→    platform_health_score: healthScore,\n   349→    stage_changed_at: new Date().toISOString(),\n   350→    metadata: {\n   351→      platform_user_id: platformUser.id,\n   352→      platform_role: platformUser.role,\n   353→      platform_created_at: platformUser.date_created,\n   354→      platform_synced_at: new Date().toISOString(),\n   355→      lead_type: leadType,\n   356→      abn: platformUser.abn_number || null,\n   357→    },\n   358→  };\n   359→\n   360→  const { data, error } = await supabase\n   361→    .from('leads')\n   362→    .insert(newLead)\n   363→    .select('id')\n   364→    .single();\n   365→\n   366→  if (error) {\n   367→    logger.error('Failed to create lead from platform', { error: error.message, email });\n   368→    return { success: false, reason: error.message };\n   369→  }\n   370→\n   371→  // Log initial stage\n   372→  await logStageTransition(data.id, null, stage, 'platform_sync', {\n   373→    healthScore,\n   374→    platformUserId: platformUser.id,\n   375→    isNew: true,\n   376→  });\n   377→\n   378→  logger.info('New lead created from platform', {\n   379→    leadId: data.id,\n   380→    leadType,\n   381→    stage,\n   382→    healthScore,\n   383→  });\n   384→\n   385→  return {\n   386→    success: true,\n   387→    action: 'created',\n   388→    leadId: data.id,\n   389→    leadType,\n   390→    stage,\n   391→    healthScore,\n   392→  };\n   393→}\n   394→\n   395→/**\n   396→ * Sync all platform users to CRM\n   397→ * Returns summary of sync results\n   398→ */\n   399→async function syncAllPlatformUsers(options = {}) {\n   400→  const { sinceDate, limit } = options;\n   401→\n   402→  logger.info('Starting platform user sync', { sinceDate, limit });\n   403→  const startTime = Date.now();\n   404→\n   405→  // Fetch users, jobs, and contracts from platform\n   406→  let users;\n   407→  let allJobs = [];\n   408→  let allContracts = [];\n   409→\n   410→  try {\n   411→    users = await fetchPlatformUsers();\n   412→  } catch (error) {\n   413→    return {\n   414→      success: false,\n   415→      error: error.message,\n   416→      duration: Date.now() - startTime,\n   417→    };\n   418→  }\n   419→\n   420→  // Fetch jobs and contracts for stage calculation (non-blocking)\n   421→  try {\n   422→    allJobs = await fetchPlatformJobs();\n   423→    logger.info('Fetched platform jobs', { count: allJobs.length });\n   424→  } catch (error) {\n   425→    logger.warn('Could not fetch jobs for stage calculation', { error: error.message });\n   426→  }\n   427→\n   428→  try {\n   429→    allContracts = await fetchPlatformContracts();\n   430→    logger.info('Fetched platform contracts', { count: allContracts.length });\n   431→  } catch (error) {\n   432→    logger.warn('Could not fetch contracts for stage calculation', { error: error.message });\n   433→  }\n   434→\n   435→  // Filter by date if specified\n   436→  if (sinceDate) {\n   437→    const since = new Date(sinceDate);\n   438→    users = users.filter(u => {\n   439→      const createdAt = new Date(u.created_at || u.createdAt);\n   440→      return createdAt >= since;\n   441→    });\n   442→  }\n   443→\n   444→  // Limit if specified\n   445→  if (limit && users.length > limit) {\n   446→    users = users.slice(0, limit);\n   447→  }\n   448→\n   449→  // Sync each user\n   450→  const results = {\n   451→    total: users.length,\n   452→    created: 0,\n   453→    re_engaged: 0,\n   454→    skipped: 0,\n   455→    errors: 0,\n   456→    workers: 0,\n   457→    contractors: 0,\n   458→    details: [],\n   459→  };\n   460→\n   461→  for (const user of users) {\n   462→    const result = await syncPlatformUser(user, allJobs, allContracts);\n   463→\n   464→    if (result.success) {\n   465→      if (result.action === 'created') {\n   466→        results.created++;\n   467→      } else if (result.action === 're_engaged') {\n   468→        results.re_engaged++;\n   469→      }\n   470→\n   471→      if (result.leadType === 'worker') results.workers++;\n   472→      if (result.leadType === 'contractor') results.contractors++;\n   473→\n   474→      results.details.push({\n   475→        platformUserId: user.id,\n   476→        email: user.email,\n   477→        action: result.action,\n   478→        leadId: result.leadId,\n   479→        leadType: result.leadType,\n   480→        stage: result.stage,\n   481→        healthScore: result.healthScore,\n   482→      });\n   483→    } else {\n   484→      if (result.reason === 'No email or phone') {\n   485→        results.skipped++;\n   486→      } else {\n   487→        results.errors++;\n   488→      }\n   489→    }\n   490→  }\n   491→\n   492→  const duration = Date.now() - startTime;\n   493→\n   494→  logger.info('Platform sync completed', {\n   495→    total: results.total,\n   496→    created: results.created,\n   497→    re_engaged: results.re_engaged,\n   498→    workers: results.workers,\n   499→    contractors: results.contractors,\n   500→    duration,\n   501→  });\n   502→\n   503→  return {\n   504→    success: true,\n   505→    ...results,\n   506→    duration,\n   507→  };\n   508→}\n   509→\n   510→/**\n   511→ * Check if platform API is configured and accessible\n   512→ */\n   513→async function checkPlatformConnection() {\n   514→  if (!PLATFORM_API_KEY) {\n   515→    return {\n   516→      configured: false,\n   517→      error: 'RATERIGHT_ADMIN_API_KEY not set'\n   518→    };\n   519→  }\n   520→\n   521→  try {\n   522→    const stats = await fetchPlatformStats();\n   523→    return {\n   524→      configured: true,\n   525→      connected: true,\n   526→      stats,\n   527→    };\n   528→  } catch (error) {\n   529→    return {\n   530→      configured: true,\n   531→      connected: false,\n   532→      error: error.message\n   533→    };\n   534→  }\n   535→}\n   536→\n   537→module.exports = {\n   538→  platformRequest,\n   539→  fetchPlatformUsers,\n   540→  fetchPlatformStats,\n   541→  fetchPlatformJobs,\n   542→  fetchPlatformContracts,\n   543→  syncPlatformUser,\n   544→  syncAllPlatformUsers,\n   545→  checkPlatformConnection,\n   546→  findExistingLead,\n   547→  getLeadType,\n   548→  getUserJobs,\n   549→  getUserContracts,\n   550→};\n   551→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"6485ba07-f693-423a-bd76-bc4e0a48fa11","timestamp":"2026-02-07T05:52:16.093Z","sourceToolAssistantUUID":"d3d36914-b0ba-489a-8609-99887420de5f"}
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{"parentUuid":"52a82c4f-3b03-4b9f-bfba-11d86f136b55","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SUwKqt62svXnutcEPJXwZg","type":"tool_result","content":"     1→/**\n     2→ * Perplexity AI Service\n     3→ * Web search for company and person research\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→const { fetchWithTimeout, isTimeoutError } = require('../utils/fetchWithTimeout');\n     8→\n     9→const PERPLEXITY_API_URL = 'https://api.perplexity.ai/chat/completions';\n    10→const MODEL = 'sonar'; // Default, cheapest model\n    11→const CACHE_DAYS = 30;\n    12→\n    13→/**\n    14→ * Make a Perplexity API request\n    15→ */\n    16→async function perplexityRequest(prompt) {\n    17→  const apiKey = process.env.PERPLEXITY_API_KEY;\n    18→\n    19→  if (!apiKey) {\n    20→    console.warn('[Perplexity] API key not configured');\n    21→    return { success: false, error: 'Perplexity API key not configured' };\n    22→  }\n    23→\n    24→  try {\n    25→    const response = await fetchWithTimeout(PERPLEXITY_API_URL, {\n    26→      method: 'POST',\n    27→      headers: {\n    28→        'Authorization': `Bearer ${apiKey}`,\n    29→        'Content-Type': 'application/json',\n    30→      },\n    31→      body: JSON.stringify({\n    32→        model: MODEL,\n    33→        messages: [{ role: 'user', content: prompt }],\n    34→      }),\n    35→    }, 45000); // 45 second timeout - research queries take time\n    36→\n    37→    if (!response.ok) {\n    38→      const error = await response.text();\n    39→      console.error('[Perplexity] API error:', response.status, error);\n    40→      return { success: false, error: `API error: ${response.status}` };\n    41→    }\n    42→\n    43→    const data = await response.json();\n    44→    const content = data.choices?.[0]?.message?.content;\n    45→\n    46→    return { success: true, content };\n    47→  } catch (error) {\n    48→    if (isTimeoutError(error)) {\n    49→      console.error('[Perplexity] Request timed out after 45 seconds');\n    50→      return { success: false, error: 'Request timed out' };\n    51→    }\n    52→    console.error('[Perplexity] Request error:', error);\n    53→    return { success: false, error: error.message };\n    54→  }\n    55→}\n    56→\n    57→/**\n    58→ * Normalize company name for caching\n    59→ */\n    60→function normalizeCompanyName(name) {\n    61→  return name\n    62→    .toLowerCase()\n    63→    .replace(/\\s+(pty|ltd|limited|inc|llc|corp|corporation)\\s*/gi, '')\n    64→    .replace(/[^a-z0-9]/g, '')\n    65→    .trim();\n    66→}\n    67→\n    68→/**\n    69→ * Check if cached result is still valid\n    70→ */\n    71→function isCacheValid(searchedAt) {\n    72→  if (!searchedAt) return false;\n    73→  const cacheExpiry = new Date(searchedAt);\n    74→  cacheExpiry.setDate(cacheExpiry.getDate() + CACHE_DAYS);\n    75→  return new Date() < cacheExpiry;\n    76→}\n    77→\n    78→/**\n    79→ * Search for company information\n    80→ * @param {string} companyName - Company name to research\n    81→ * @returns {Promise<object>} Company intel\n    82→ */\n    83→async function searchCompany(companyName) {\n    84→  if (!companyName || companyName.trim().length < 2) {\n    85→    return { success: false, error: 'Company name required' };\n    86→  }\n    87→\n    88→  const normalized = normalizeCompanyName(companyName);\n    89→\n    90→  // Check cache first\n    91→  if (supabase) {\n    92→    const { data: cached } = await supabase\n    93→      .from('company_intel')\n    94→      .select('*')\n    95→      .eq('company_name_normalized', normalized)\n    96→      .single();\n    97→\n    98→    if (cached && isCacheValid(cached.searched_at)) {\n    99→      console.log('[Perplexity] Using cached company intel for:', companyName);\n   100→      return { success: true, data: cached, cached: true };\n   101→    }\n   102→  }\n   103→\n   104→  // Search with Perplexity - always include Australia context\n   105→  const prompt = `Research this company: \"${companyName}\" construction Australia\n   106→\n   107→Search specifically for Australian companies. Find their website and business details. Provide information in this exact JSON format:\n   108→{\n   109→  \"summary\": \"2-3 sentence overview of what the company does\",\n   110→  \"size\": \"small/medium/large/enterprise (estimate)\",\n   111→  \"industry\": \"Primary industry/sector\",\n   112→  \"location\": \"City/State, Australia\",\n   113→  \"website_url\": \"Company website URL if found (e.g., https://www.example.com.au), or null\",\n   114→  \"abn\": \"Australian Business Number if found (format: XX XXX XXX XXX), or null\",\n   115→  \"linkedin_url\": \"LinkedIn company page URL if found, or null\",\n   116→  \"facebook_url\": \"Facebook business page URL if found, or null\",\n   117→  \"recent_projects\": [\"Recent project or news 1\", \"Recent project or news 2\"],\n   118→  \"hiring_signals\": [\"Any hiring activity or growth signals\"],\n   119→  \"ai_sales_angle\": \"Best approach for pitching RateRight (a marketplace where contractors post jobs and workers apply direct, 9.9% fee vs 30-40% agency margins, no middleman). Focus on their likely pain points.\"\n   120→}\n   121→\n   122→IMPORTANT: Try hard to find the actual company website URL. Search for \"[company name] construction australia website\" if needed.\n   123→If you can't find specific information, make reasonable inferences based on the company name and industry.\n   124→Return ONLY valid JSON, no other text.`;\n   125→\n   126→  const result = await perplexityRequest(prompt);\n   127→\n   128→  if (!result.success) {\n   129→    return result;\n   130→  }\n   131→\n   132→  // Parse the response\n   133→  let intel;\n   134→  try {\n   135→    // Clean up response - remove markdown code blocks if present\n   136→    let content = result.content.trim();\n   137→    if (content.startsWith('```json')) {\n   138→      content = content.slice(7);\n   139→    }\n   140→    if (content.startsWith('```')) {\n   141→      content = content.slice(3);\n   142→    }\n   143→    if (content.endsWith('```')) {\n   144→      content = content.slice(0, -3);\n   145→    }\n   146→    intel = JSON.parse(content.trim());\n   147→  } catch (e) {\n   148→    console.error('[Perplexity] Failed to parse company response:', e);\n   149→    return { success: false, error: 'Failed to parse response' };\n   150→  }\n   151→\n   152→  // Store in cache\n   153→  if (supabase) {\n   154→    const record = {\n   155→      company_name: companyName,\n   156→      company_name_normalized: normalized,\n   157→      summary: intel.summary,\n   158→      size: intel.size,\n   159→      industry: intel.industry,\n   160→      location: intel.location,\n   161→      website_url: intel.website_url || null,\n   162→      abn: intel.abn || null,\n   163→      linkedin_url: intel.linkedin_url || null,\n   164→      facebook_url: intel.facebook_url || null,\n   165→      recent_projects: intel.recent_projects,\n   166→      hiring_signals: intel.hiring_signals,\n   167→      ai_sales_angle: intel.ai_sales_angle,\n   168→      searched_at: new Date().toISOString(),\n   169→    };\n   170→\n   171→    // Upsert based on normalized name\n   172→    const { data: existing } = await supabase\n   173→      .from('company_intel')\n   174→      .select('id')\n   175→      .eq('company_name_normalized', normalized)\n   176→      .single();\n   177→\n   178→    if (existing) {\n   179→      await supabase\n   180→        .from('company_intel')\n   181→        .update(record)\n   182→        .eq('id', existing.id);\n   183→    } else {\n   184→      await supabase\n   185→        .from('company_intel')\n   186→        .insert(record);\n   187→    }\n   188→\n   189→    console.log('[Perplexity] Cached company intel for:', companyName);\n   190→  }\n   191→\n   192→  return { success: true, data: intel, cached: false };\n   193→}\n   194→\n   195→/**\n   196→ * Search for person information\n   197→ * @param {string} leadId - Lead ID to research\n   198→ * @returns {Promise<object>} Person intel\n   199→ */\n   200→async function searchPerson(leadId) {\n   201→  if (!leadId) {\n   202→    return { success: false, error: 'Lead ID required' };\n   203→  }\n   204→\n   205→  // Get lead data\n   206→  if (!supabase) {\n   207→    return { success: false, error: 'Database not configured' };\n   208→  }\n   209→\n   210→  const { data: lead, error: leadError } = await supabase\n   211→    .from('leads')\n   212→    .select('*')\n   213→    .eq('id', leadId)\n   214→    .single();\n   215→\n   216→  if (leadError || !lead) {\n   217→    return { success: false, error: 'Lead not found' };\n   218→  }\n   219→\n   220→  const fullName = `${lead.first_name || ''} ${lead.last_name || ''}`.trim();\n   221→  if (!fullName || fullName.length < 2) {\n   222→    return { success: false, error: 'Lead name required for person research' };\n   223→  }\n   224→\n   225→  // Check cache first\n   226→  const { data: cached } = await supabase\n   227→    .from('lead_intel')\n   228→    .select('*')\n   229→    .eq('lead_id', leadId)\n   230→    .single();\n   231→\n   232→  if (cached && isCacheValid(cached.searched_at)) {\n   233→    console.log('[Perplexity] Using cached person intel for:', fullName);\n   234→    return { success: true, data: cached, cached: true };\n   235→  }\n   236→\n   237→  // Build search context - always include Australia and LinkedIn\n   238→  const companyContext = lead.company ? ` ${lead.company}` : '';\n   239→  const researchHint = lead.metadata?.research_hint || '';\n   240→\n   241→  // Search with Perplexity - include Australia LinkedIn for accurate results\n   242→  // Now includes personal profile research\n   243→  const prompt = `Research this person: \"${fullName}\"${companyContext} Australia LinkedIn Facebook${researchHint ? `\\n\\nAdditional context: ${researchHint}` : ''}\n   244→\n   245→Search specifically for this person in Australia. Find both PROFESSIONAL and PERSONAL information.\n   246→\n   247→Provide information in this exact JSON format:\n   248→{\n   249→  \"linkedin_url\": \"LinkedIn profile URL if found, or null\",\n   250→  \"job_title\": \"Current job title or role\",\n   251→  \"years_at_company\": null or number,\n   252→  \"previous_companies\": [\"Previous company 1\", \"Previous company 2\"],\n   253→  \"summary\": \"2-3 sentence professional summary\",\n   254→\n   255→  \"personal_profile\": {\n   256→    \"family_status\": \"Married with 2 kids\" or \"Single\" or null if unknown,\n   257→    \"hobbies\": [\"fishing\", \"golf\", \"rugby league\", \"camping\"],\n   258→    \"interests\": [\"property investment\", \"4WDs\", \"home renovation\"],\n   259→    \"location_suburb\": \"Suburb, City\" if found,\n   260→    \"personality_notes\": \"Seems like a straight-shooter / family man / ambitious etc based on social presence\"\n   261→  },\n   262→\n   263→  \"social_profiles\": {\n   264→    \"facebook\": \"Facebook profile URL if found\",\n   265→    \"instagram\": \"Instagram profile URL if found\",\n   266→    \"twitter\": \"Twitter/X profile URL if found\"\n   267→  },\n   268→\n   269→  \"conversation_starters\": [\n   270→    \"Ask about [hobby] - they seem passionate about it\",\n   271→    \"Mention [local team/event] if they're a fan\",\n   272→    \"They [posted/mentioned] something about [topic] recently\"\n   273→  ],\n   274→\n   275→  \"ai_talking_points\": \"Personalized talking points for pitching RateRight - a marketplace where they post jobs and workers apply direct (9.9% fee vs 30-40% agency margins). Focus on their role and likely pain points with finding reliable workers.\"\n   276→}\n   277→\n   278→TIPS FOR FINDING PERSONAL INFO:\n   279→- Check LinkedIn for interests, volunteer work, posts about hobbies\n   280→- Facebook often shows family, hobbies, sports teams they follow\n   281→- Look for patterns: tradies often like fishing, camping, 4WDs, footy\n   282→- Construction industry people often have property investment interests\n   283→\n   284→Focus on Australian results. Make reasonable inferences based on their role in construction/trades.\n   285→Return ONLY valid JSON, no other text.`;\n   286→\n   287→  const result = await perplexityRequest(prompt);\n   288→\n   289→  if (!result.success) {\n   290→    return result;\n   291→  }\n   292→\n   293→  // Parse the response\n   294→  let intel;\n   295→  try {\n   296→    let content = result.content.trim();\n   297→    if (content.startsWith('```json')) {\n   298→      content = content.slice(7);\n   299→    }\n   300→    if (content.startsWith('```')) {\n   301→      content = content.slice(3);\n   302→    }\n   303→    if (content.endsWith('```')) {\n   304→      content = content.slice(0, -3);\n   305→    }\n   306→    intel = JSON.parse(content.trim());\n   307→  } catch (e) {\n   308→    console.error('[Perplexity] Failed to parse person response:', e);\n   309→    return { success: false, error: 'Failed to parse response' };\n   310→  }\n   311→\n   312→  // Store in cache - including new personal fields\n   313→  const record = {\n   314→    lead_id: leadId,\n   315→    linkedin_url: intel.linkedin_url,\n   316→    job_title: intel.job_title,\n   317→    years_at_company: intel.years_at_company,\n   318→    previous_companies: intel.previous_companies,\n   319→    summary: intel.summary,\n   320→    ai_talking_points: intel.ai_talking_points,\n   321→    // New personal fields\n   322→    family_status: intel.personal_profile?.family_status || null,\n   323→    hobbies: intel.personal_profile?.hobbies || null,\n   324→    interests: intel.personal_profile?.interests || null,\n   325→    location_suburb: intel.personal_profile?.location_suburb || null,\n   326→    personality_notes: intel.personal_profile?.personality_notes || null,\n   327→    conversation_starters: intel.conversation_starters || null,\n   328→    social_profiles: intel.social_profiles || null,\n   329→    searched_at: new Date().toISOString(),\n   330→  };\n   331→\n   332→  // Upsert based on lead_id\n   333→  if (cached) {\n   334→    await supabase\n   335→      .from('lead_intel')\n   336→      .update(record)\n   337→      .eq('lead_id', leadId);\n   338→  } else {\n   339→    await supabase\n   340→      .from('lead_intel')\n   341→      .insert(record);\n   342→  }\n   343→\n   344→  console.log('[Perplexity] Cached person intel for:', fullName);\n   345→\n   346→  return { success: true, data: intel, cached: false };\n   347→}\n   348→\n   349→/**\n   350→ * Get cached company intel without searching\n   351→ */\n   352→async function getCachedCompanyIntel(companyName) {\n   353→  if (!supabase || !companyName) return null;\n   354→\n   355→  const normalized = normalizeCompanyName(companyName);\n   356→  const { data } = await supabase\n   357→    .from('company_intel')\n   358→    .select('*')\n   359→    .eq('company_name_normalized', normalized)\n   360→    .single();\n   361→\n   362→  return data;\n   363→}\n   364→\n   365→/**\n   366→ * Get cached lead intel without searching\n   367→ */\n   368→async function getCachedLeadIntel(leadId) {\n   369→  if (!supabase || !leadId) return null;\n   370→\n   371→  const { data } = await supabase\n   372→    .from('lead_intel')\n   373→    .select('*')\n   374→    .eq('lead_id', leadId)\n   375→    .single();\n   376→\n   377→  return data;\n   378→}\n   379→\n   380→/**\n   381→ * Auto-research from call transcript\n   382→ * Extracts intel from transcript and triggers background research\n   383→ * @param {string} leadId - Lead ID\n   384→ * @param {string} transcript - Call transcript\n   385→ * @returns {Promise<object>} Research results\n   386→ */\n   387→async function autoResearchFromTranscript(leadId, transcript) {\n   388→  if (!transcript || transcript.length < 50) {\n   389→    console.log('[AutoResearch] Transcript too short, skipping');\n   390→    return { success: false, error: 'Transcript too short' };\n   391→  }\n   392→\n   393→  console.log(`[AutoResearch] Starting for lead ${leadId}`);\n   394→\n   395→  try {\n   396→    // Import ai service dynamically to avoid circular dependency\n   397→    const aiService = require('./ai');\n   398→\n   399→    // Extract intel from transcript using GPT\n   400→    const extractResult = await aiService.extractTranscriptIntel(transcript);\n   401→\n   402→    if (!extractResult.success || !extractResult.intel) {\n   403→      console.log('[AutoResearch] No intel extracted from transcript');\n   404→      return { success: false, error: 'No intel extracted' };\n   405→    }\n   406→\n   407→    const intel = extractResult.intel;\n   408→    const researchResults = {\n   409→      companiesResearched: [],\n   410→      intelStored: [],\n   411→    };\n   412→\n   413→    // Research company if mentioned and not cached\n   414→    if (intel.company_to_research) {\n   415→      const companyName = intel.company_to_research;\n   416→      const normalized = normalizeCompanyName(companyName);\n   417→\n   418→      // Check if already cached\n   419→      const cached = await getCachedCompanyIntel(companyName);\n   420→\n   421→      if (cached && isCacheValid(cached.searched_at)) {\n   422→        console.log(`[AutoResearch] Company \"${companyName}\" already cached`);\n   423→        researchResults.companiesResearched.push({ name: companyName, cached: true });\n   424→      } else {\n   425→        console.log(`[AutoResearch] Researching company: ${companyName}`);\n   426→        const companyResult = await searchCompany(companyName);\n   427→        researchResults.companiesResearched.push({\n   428→          name: companyName,\n   429→          success: companyResult.success,\n   430→          cached: false\n   431→        });\n   432→      }\n   433→    }\n   434→\n   435→    // Also research any other companies mentioned\n   436→    if (intel.companies_mentioned?.length > 0) {\n   437→      for (const company of intel.companies_mentioned.slice(0, 2)) { // Limit to 2\n   438→        if (company.name && company.name !== intel.company_to_research) {\n   439→          const cached = await getCachedCompanyIntel(company.name);\n   440→          if (!cached || !isCacheValid(cached.searched_at)) {\n   441→            console.log(`[AutoResearch] Also researching mentioned company: ${company.name}`);\n   442→            const result = await searchCompany(company.name);\n   443→            researchResults.companiesResearched.push({\n   444→              name: company.name,\n   445→              success: result.success,\n   446→              cached: false,\n   447→            });\n   448→          }\n   449→        }\n   450→      }\n   451→    }\n   452→\n   453→    // Store intel nuggets as lead notes\n   454→    if (supabase && intel.intel_nuggets?.length > 0) {\n   455→      const nuggetNotes = intel.intel_nuggets\n   456→        .map(n => `[${n.type.toUpperCase()}] ${n.detail}`)\n   457→        .join('\\n');\n   458→\n   459→      if (nuggetNotes) {\n   460→        await supabase\n   461→          .from('lead_notes')\n   462→          .insert({\n   463→            lead_id: leadId,\n   464→            content: `[Auto-Extracted Intel]\\n${nuggetNotes}`,\n   465→            created_by: 'auto-research',\n   466→          });\n   467→\n   468→        researchResults.intelStored = intel.intel_nuggets;\n   469→        console.log(`[AutoResearch] Stored ${intel.intel_nuggets.length} intel nuggets`);\n   470→      }\n   471→    }\n   472→\n   473→    // Store projects mentioned as notes\n   474→    if (supabase && intel.projects_mentioned?.length > 0) {\n   475→      const projectNotes = intel.projects_mentioned\n   476→        .map(p => `• ${p.name} (${p.type}): ${p.context}`)\n   477→        .join('\\n');\n   478→\n   479→      if (projectNotes) {\n   480→        await supabase\n   481→          .from('lead_notes')\n   482→          .insert({\n   483→            lead_id: leadId,\n   484→            content: `[Projects Mentioned]\\n${projectNotes}`,\n   485→            created_by: 'auto-research',\n   486→          });\n   487→        console.log(`[AutoResearch] Stored ${intel.projects_mentioned.length} projects`);\n   488→      }\n   489→    }\n   490→\n   491→    // Store people mentioned as notes\n   492→    if (supabase && intel.people_mentioned?.length > 0) {\n   493→      const peopleNotes = intel.people_mentioned\n   494→        .filter(p => p.name && p.name.length > 2)\n   495→        .map(p => `• ${p.name}${p.role ? ` (${p.role})` : ''}${p.company ? ` at ${p.company}` : ''}`)\n   496→        .join('\\n');\n   497→\n   498→      if (peopleNotes) {\n   499→        await supabase\n   500→          .from('lead_notes')\n   501→          .insert({\n   502→            lead_id: leadId,\n   503→            content: `[People Mentioned]\\n${peopleNotes}`,\n   504→            created_by: 'auto-research',\n   505→          });\n   506→        console.log(`[AutoResearch] Stored ${intel.people_mentioned.length} people mentioned`);\n   507→      }\n   508→    }\n   509→\n   510→    console.log(`[AutoResearch] Completed for lead ${leadId}`);\n   511→    return { success: true, results: researchResults };\n   512→\n   513→  } catch (error) {\n   514→    console.error('[AutoResearch] Error:', error);\n   515→    return { success: false, error: error.message };\n   516→  }\n   517→}\n   518→\n   519→/**\n   520→ * Search for decision maker at a company (for contractor extraction)\n   521→ * Used when a worker mentions who they work for\n   522→ * @param {string} companyName - Company name\n   523→ * @param {string} projectName - Project/site name (optional)\n   524→ * @returns {Promise<object>} Decision maker info\n   525→ */\n   526→async function searchDecisionMaker(companyName, projectName = null) {\n   527→  if (!companyName || companyName.trim().length < 2) {\n   528→    return { success: false, error: 'Company name required' };\n   529→  }\n   530→\n   531→  console.log(`[Perplexity] Searching for decision maker at ${companyName}${projectName ? ` on ${projectName}` : ''}`);\n   532→\n   533→  // Build search query\n   534→  const projectContext = projectName ? ` \"${projectName}\"` : '';\n   535→\n   536→  const prompt = `Find the hiring decision maker at this Australian construction company: \"${companyName}\"${projectContext}\n   537→\n   538→Search for:\n   539→1. \"${companyName}\" hiring manager Australia\n   540→2. \"${companyName}\" operations manager Australia\n   541→3. \"${companyName}\" who hires workers Australia\n   542→4. \"${companyName}\" HR manager recruitment Australia\n   543→\n   544→Find a REAL person who makes hiring decisions for workers at this company. Provide in this exact JSON format:\n   545→{\n   546→  \"found\": true or false,\n   547→  \"confidence\": 0.0-1.0 (how confident you found the right person),\n   548→  \"person\": {\n   549→    \"first_name\": \"First name\",\n   550→    \"last_name\": \"Last name\",\n   551→    \"job_title\": \"Their role (Hiring Manager, Operations Manager, HR Manager, Director, etc.)\",\n   552→    \"linkedin_url\": \"LinkedIn profile URL if found, or null\",\n   553→    \"email\": \"Email if publicly available, or null\",\n   554→    \"phone\": \"Phone if publicly available, or null\"\n   555→  },\n   556→  \"company_info\": {\n   557→    \"full_name\": \"Full company name\",\n   558→    \"location\": \"City/State, Australia\",\n   559→    \"size\": \"small/medium/large estimate\"\n   560→  },\n   561→  \"search_notes\": \"Brief notes about what you found or why you couldn't find someone\"\n   562→}\n   563→\n   564→IMPORTANT:\n   565→- Only return found=true if you found a SPECIFIC real person's name\n   566→- Don't make up names - if you can't find anyone, return found=false\n   567→- Prioritize people who actually HIRE workers (hiring managers, operations managers, HR)\n   568→- Site supervisors are less useful - we want decision makers\n   569→- Focus on Australian results\n   570→\n   571→Return ONLY valid JSON, no other text.`;\n   572→\n   573→  const result = await perplexityRequest(prompt);\n   574→\n   575→  if (!result.success) {\n   576→    return result;\n   577→  }\n   578→\n   579→  // Parse the response\n   580→  let searchResult;\n   581→  try {\n   582→    let content = result.content.trim();\n   583→    if (content.startsWith('```json')) {\n   584→      content = content.slice(7);\n   585→    }\n   586→    if (content.startsWith('```')) {\n   587→      content = content.slice(3);\n   588→    }\n   589→    if (content.endsWith('```')) {\n   590→      content = content.slice(0, -3);\n   591→    }\n   592→    searchResult = JSON.parse(content.trim());\n   593→  } catch (e) {\n   594→    console.error('[Perplexity] Failed to parse decision maker response:', e);\n   595→    return { success: false, error: 'Failed to parse response' };\n   596→  }\n   597→\n   598→  if (!searchResult.found || !searchResult.person?.first_name) {\n   599→    console.log(`[Perplexity] No decision maker found for ${companyName}`);\n   600→    return {\n   601→      success: true,\n   602→      found: false,\n   603→      notes: searchResult.search_notes || 'No decision maker found'\n   604→    };\n   605→  }\n   606→\n   607→  console.log(`[Perplexity] Found decision maker: ${searchResult.person.first_name} ${searchResult.person.last_name} at ${companyName}`);\n   608→\n   609→  return {\n   610→    success: true,\n   611→    found: true,\n   612→    confidence: searchResult.confidence || 0.5,\n   613→    person: searchResult.person,\n   614→    company: searchResult.company_info,\n   615→    notes: searchResult.search_notes,\n   616→  };\n   617→}\n   618→\n   619→/**\n   620→ * Search for current news on a lead's interests/hobbies\n   621→ * Used to make conversation starters timely and relevant\n   622→ * @param {array} interests - Array of interests (e.g., [\"Liverpool FC\", \"Mayo GAA\", \"F1\"])\n   623→ * @returns {Promise<object>} Current news on those interests\n   624→ */\n   625→async function searchInterestNews(interests) {\n   626→  if (!interests || interests.length === 0) {\n   627→    return { success: false, error: 'No interests provided' };\n   628→  }\n   629→\n   630→  // Take top 4 interests to keep query focused\n   631→  const topInterests = interests.slice(0, 4);\n   632→\n   633→  console.log('[Perplexity] Searching for news on interests:', topInterests);\n   634→\n   635→  const prompt = `Find the LATEST NEWS (last 7 days) for these topics. Focus on Australian/Irish/UK sports results and current events:\n   636→\n   637→Topics: ${topInterests.join(', ')}\n   638→\n   639→For EACH topic, find the most recent headline or result. Return in this exact JSON format:\n   640→{\n   641→  \"news_items\": [\n   642→    {\n   643→      \"topic\": \"Liverpool FC\",\n   644→      \"headline\": \"Liverpool beat Manchester United 3-0 at Anfield\",\n   645→      \"detail\": \"Mo Salah scored twice as Liverpool moved top of the Premier League\",\n   646→      \"date\": \"Yesterday\" or \"2 days ago\" or \"Jan 15\",\n   647→      \"conversation_hook\": \"Did you see Liverpool smash United on the weekend? Salah was unreal!\"\n   648→    },\n   649→    {\n   650→      \"topic\": \"Mayo GAA\",\n   651→      \"headline\": \"Mayo to face Dublin in Allianz League opener\",\n   652→      \"detail\": \"The first round clash is scheduled for Croke Park on January 28\",\n   653→      \"date\": \"This week\",\n   654→      \"conversation_hook\": \"Big game coming up - Mayo vs Dublin. Reckon this is the year?\"\n   655→    }\n   656→  ],\n   657→  \"talking_points\": [\n   658→    \"Great conversation starter based on the news\",\n   659→    \"Another timely topic to mention\"\n   660→  ]\n   661→}\n   662→\n   663→IMPORTANT:\n   664→- Only include REAL, CURRENT news from the last 7 days\n   665→- If you can't find recent news on a topic, skip it (don't make things up)\n   666→- Focus on sports results, upcoming matches, or major news\n   667→- Make conversation_hook casual and Aussie-friendly\n   668→- Return ONLY valid JSON, no other text.`;\n   669→\n   670→  const result = await perplexityRequest(prompt);\n   671→\n   672→  if (!result.success) {\n   673→    return result;\n   674→  }\n   675→\n   676→  // Parse the response\n   677→  let newsData;\n   678→  try {\n   679→    let content = result.content.trim();\n   680→    if (content.startsWith('```json')) {\n   681→      content = content.slice(7);\n   682→    }\n   683→    if (content.startsWith('```')) {\n   684→      content = content.slice(3);\n   685→    }\n   686→    if (content.endsWith('```')) {\n   687→      content = content.slice(0, -3);\n   688→    }\n   689→    newsData = JSON.parse(content.trim());\n   690→  } catch (e) {\n   691→    console.error('[Perplexity] Failed to parse interest news response:', e);\n   692→    return { success: false, error: 'Failed to parse response' };\n   693→  }\n   694→\n   695→  console.log(`[Perplexity] Found ${newsData.news_items?.length || 0} news items on interests`);\n   696→\n   697→  return {\n   698→    success: true,\n   699→    news_items: newsData.news_items || [],\n   700→    talking_points: newsData.talking_points || [],\n   701→  };\n   702→}\n   703→\n   704→module.exports = {\n   705→  searchCompany,\n   706→  searchPerson,\n   707→  searchDecisionMaker,\n   708→  searchInterestNews,\n   709→  getCachedCompanyIntel,\n   710→  getCachedLeadIntel,\n   711→  normalizeCompanyName,\n   712→  autoResearchFromTranscript,\n   713→};\n   714→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"64426061-9106-4430-ba1c-90df21bf8168","timestamp":"2026-02-07T05:52:16.582Z","sourceToolAssistantUUID":"52a82c4f-3b03-4b9f-bfba-11d86f136b55"}
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{"parentUuid":"913131b3-a3e8-4881-93c1-8c91e5791757","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ABqGcyxkHukKVyAotejpbM","type":"tool_result","content":"     1→/**\n     2→ * Rep Performance Service\n     3→ * Aggregates and analyzes rep performance data for weekly reports\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→const { callOpenAI } = require('./ai');\n     8→\n     9→/**\n    10→ * Get the start of the current week (Monday) in AEST\n    11→ */\n    12→function getWeekStartAEST(date = new Date()) {\n    13→  const AEST_OFFSET_MS = 10 * 60 * 60 * 1000;\n    14→  const aestTime = new Date(date.getTime() + AEST_OFFSET_MS);\n    15→  const aestDay = aestTime.getUTCDay();\n    16→  const daysToMonday = aestDay === 0 ? 6 : aestDay - 1;\n    17→  const aestWeekStart = new Date(Date.UTC(\n    18→    aestTime.getUTCFullYear(),\n    19→    aestTime.getUTCMonth(),\n    20→    aestTime.getUTCDate() - daysToMonday,\n    21→    0, 0, 0, 0\n    22→  ));\n    23→  return new Date(aestWeekStart.getTime() - AEST_OFFSET_MS);\n    24→}\n    25→\n    26→/**\n    27→ * Get all reps from user_xp AND active reps from communications\n    28→ */\n    29→async function getAllReps() {\n    30→  const db = supabaseAdmin || supabase;\n    31→  if (!db) return [];\n    32→\n    33→  // Get users from user_xp\n    34→  const { data: xpUsers } = await db\n    35→    .from('user_xp')\n    36→    .select('user_id, display_name, level, current_streak, total_xp');\n    37→\n    38→  // Also find active reps from recent communications (last 30 days)\n    39→  const thirtyDaysAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString();\n    40→  const { data: commsReps } = await db\n    41→    .from('communications')\n    42→    .select('handled_by, metadata')\n    43→    .not('handled_by', 'is', null)\n    44→    .gte('created_at', thirtyDaysAgo);\n    45→\n    46→  // Extract unique rep IDs from communications\n    47→  const repIds = new Set();\n    48→  (commsReps || []).forEach(c => {\n    49→    if (c.handled_by) repIds.add(c.handled_by);\n    50→    if (c.metadata?.handled_by) repIds.add(c.metadata.handled_by);\n    51→  });\n    52→\n    53→  // Build combined rep list\n    54→  const userMap = {};\n    55→  (xpUsers || []).forEach(u => {\n    56→    userMap[u.user_id] = u;\n    57→  });\n    58→\n    59→  // Add any rep from communications not in user_xp\n    60→  repIds.forEach(repId => {\n    61→    if (!userMap[repId] && repId && repId !== 'system' && repId !== 'auto-transcribe') {\n    62→      userMap[repId] = {\n    63→        user_id: repId,\n    64→        display_name: repId, // Use ID as name if no display_name\n    65→        level: 1,\n    66→        current_streak: 0,\n    67→        total_xp: 0,\n    68→      };\n    69→    }\n    70→  });\n    71→\n    72→  return Object.values(userMap);\n    73→}\n    74→\n    75→/**\n    76→ * Aggregate weekly stats for a single rep\n    77→ */\n    78→async function aggregateRepWeeklyStats(userId, weekStart, weekEnd) {\n    79→  const db = supabaseAdmin || supabase;\n    80→  if (!db) return null;\n    81→\n    82→  // Get communications for this rep this week\n    83→  const { data: comms } = await db\n    84→    .from('communications')\n    85→    .select('id, type, direction, created_at, metadata, lead_id')\n    86→    .or(`handled_by.eq.${userId},metadata->>handled_by.eq.${userId}`)\n    87→    .gte('created_at', weekStart.toISOString())\n    88→    .lt('created_at', weekEnd.toISOString());\n    89→\n    90→  // Get conversions for this rep this week\n    91→  const { data: conversions } = await db\n    92→    .from('leads')\n    93→    .select('id, first_name, last_name, trade, updated_at')\n    94→    .eq('status', 'converted')\n    95→    .or(`metadata->>converted_by.eq.${userId},metadata->>handled_by.eq.${userId}`)\n    96→    .gte('updated_at', weekStart.toISOString())\n    97→    .lt('updated_at', weekEnd.toISOString());\n    98→\n    99→  // Get call quality scores for this rep\n   100→  const { data: callScores } = await db\n   101→    .from('call_quality_scores')\n   102→    .select('overall_score, talk_ratio, led_to_conversion')\n   103→    .eq('user_id', userId)\n   104→    .gte('created_at', weekStart.toISOString())\n   105→    .lt('created_at', weekEnd.toISOString());\n   106→\n   107→  // Process communications\n   108→  let totalCalls = 0;\n   109→  let totalSms = 0;\n   110→  let inboundSms = 0;\n   111→  let outboundSms = 0;\n   112→  let totalCallDuration = 0;\n   113→  let callsWithDuration = 0;\n   114→  let objectionsCount = 0;\n   115→  const hourlyConversions = {};\n   116→  const dailyConversions = {};\n   117→  const topCalls = [];\n   118→\n   119→  (comms || []).forEach(comm => {\n   120→    const isCall = comm.type?.includes('call');\n   121→\n   122→    if (isCall) {\n   123→      totalCalls++;\n   124→      const duration = comm.metadata?.duration_seconds || 0;\n   125→      if (duration > 0) {\n   126→        totalCallDuration += duration;\n   127→        callsWithDuration++;\n   128→      }\n   129→\n   130→      // Track objections\n   131→      const objections = comm.metadata?.objections || [];\n   132→      objectionsCount += objections.length;\n   133→\n   134→      // Track top calls (connected with good duration)\n   135→      if (comm.metadata?.outcome === 'converted' || (duration > 120 && comm.metadata?.outcome === 'connected')) {\n   136→        topCalls.push({\n   137→          id: comm.id,\n   138→          leadId: comm.lead_id,\n   139→          outcome: comm.metadata?.outcome,\n   140→          duration,\n   141→          createdAt: comm.created_at,\n   142→        });\n   143→      }\n   144→    } else {\n   145→      totalSms++;\n   146→      if (comm.direction === 'inbound') {\n   147→        inboundSms++;\n   148→      } else {\n   149→        outboundSms++;\n   150→      }\n   151→    }\n   152→  });\n   153→\n   154→  // Track conversion timing\n   155→  (conversions || []).forEach(conv => {\n   156→    const date = new Date(conv.updated_at);\n   157→    const hour = date.getHours();\n   158→    const dayName = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'][date.getDay()];\n   159→\n   160→    hourlyConversions[hour] = (hourlyConversions[hour] || 0) + 1;\n   161→    dailyConversions[dayName] = (dailyConversions[dayName] || 0) + 1;\n   162→  });\n   163→\n   164→  // Find best hour and day\n   165→  const bestHourEntry = Object.entries(hourlyConversions).sort((a, b) => b[1] - a[1])[0];\n   166→  const bestDayEntry = Object.entries(dailyConversions).sort((a, b) => b[1] - a[1])[0];\n   167→\n   168→  // Calculate call scores average\n   169→  const avgCallScore = callScores?.length > 0\n   170→    ? callScores.reduce((sum, s) => sum + s.overall_score, 0) / callScores.length\n   171→    : 0;\n   172→\n   173→  const avgTalkRatio = callScores?.filter(s => s.talk_ratio)?.length > 0\n   174→    ? callScores.filter(s => s.talk_ratio).reduce((sum, s) => sum + s.talk_ratio, 0) / callScores.filter(s => s.talk_ratio).length\n   175→    : 0;\n   176→\n   177→  // Conversion rate\n   178→  const conversionCount = conversions?.length || 0;\n   179→  const conversionRate = totalCalls > 0 ? (conversionCount / totalCalls) * 100 : 0;\n   180→\n   181→  return {\n   182→    totalCalls,\n   183→    totalSms,\n   184→    inboundSms,\n   185→    outboundSms,\n   186→    totalCallDuration,\n   187→    callsWithDuration,\n   188→    avgCallDuration: callsWithDuration > 0 ? Math.round(totalCallDuration / callsWithDuration) : 0,\n   189→    conversions: conversionCount,\n   190→    conversionRate: Math.round(conversionRate * 10) / 10,\n   191→    avgCallScore: Math.round(avgCallScore * 10) / 10,\n   192→    callsScored: callScores?.length || 0,\n   193→    avgTalkRatio: Math.round(avgTalkRatio),\n   194→    objectionsCount,\n   195→    bestHour: bestHourEntry ? parseInt(bestHourEntry[0]) : null,\n   196→    bestDay: bestDayEntry ? bestDayEntry[0] : null,\n   197→    topCalls: topCalls.slice(0, 3),\n   198→    conversionsList: conversions || [],\n   199→  };\n   200→}\n   201→\n   202→/**\n   203→ * Get previous week stats for comparison\n   204→ */\n   205→async function getPreviousWeekStats(userId, currentWeekStart) {\n   206→  const prevWeekStart = new Date(currentWeekStart.getTime() - 7 * 24 * 60 * 60 * 1000);\n   207→  const prevWeekEnd = currentWeekStart;\n   208→\n   209→  return aggregateRepWeeklyStats(userId, prevWeekStart, prevWeekEnd);\n   210→}\n   211→\n   212→/**\n   213→ * Analyze rep strengths and weaknesses using AI\n   214→ */\n   215→async function analyzeRepPerformance(stats, repName, prevStats = null) {\n   216→  // Build context for AI\n   217→  const context = `\n   218→Rep: ${repName}\n   219→This Week:\n   220→- Calls: ${stats.totalCalls}\n   221→- Conversions: ${stats.conversions} (${stats.conversionRate}% rate)\n   222→- Avg Call Duration: ${formatDuration(stats.avgCallDuration)}\n   223→- Talk Ratio: ${stats.avgTalkRatio}%\n   224→- Objections Faced: ${stats.objectionsCount}\n   225→- Best Time: ${stats.bestHour ? formatHour(stats.bestHour) : 'N/A'}\n   226→- Best Day: ${stats.bestDay || 'N/A'}\n   227→\n   228→${prevStats ? `\n   229→Previous Week:\n   230→- Calls: ${prevStats.totalCalls}\n   231→- Conversions: ${prevStats.conversions} (${prevStats.conversionRate}% rate)\n   232→` : ''}\n   233→`;\n   234→\n   235→  try {\n   236→    const response = await callOpenAI([\n   237→      {\n   238→        role: 'system',\n   239→        content: `You're analyzing sales rep performance for a contractor/worker recruitment company. Be specific and actionable. Keep each strength/weakness to one short sentence. Format response as JSON.`\n   240→      },\n   241→      {\n   242→        role: 'user',\n   243→        content: `Analyze this rep's performance and provide coaching tips:\n   244→\n   245→${context}\n   246→\n   247→Respond in JSON format:\n   248→{\n   249→  \"strengths\": [\"strength 1\", \"strength 2\"],\n   250→  \"weaknesses\": [\"weakness 1\"],\n   251→  \"coaching_tips\": [\"specific actionable tip 1\", \"tip 2\"]\n   252→}\n   253→\n   254→Base your analysis on:\n   255→- Conversion rate (good if >10%, great if >15%)\n   256→- Call volume (more calls = more chances)\n   257→- Talk ratio (ideal is 30-40% rep talking, 60-70% lead talking)\n   258→- Call duration (2-4 min is ideal)\n   259→- Improvement vs last week`\n   260→      }\n   261→    ], { model: 'gpt-4o-mini', temperature: 0.7, max_tokens: 500 });\n   262→\n   263→    const parsed = JSON.parse(response);\n   264→    return {\n   265→      strengths: parsed.strengths || [],\n   266→      weaknesses: parsed.weaknesses || [],\n   267→      coachingTips: parsed.coaching_tips || [],\n   268→    };\n   269→  } catch (error) {\n   270→    console.error('[RepPerformance] AI analysis failed:', error.message);\n   271→    // Fallback analysis\n   272→    return generateFallbackAnalysis(stats, prevStats);\n   273→  }\n   274→}\n   275→\n   276→/**\n   277→ * Generate fallback analysis without AI\n   278→ */\n   279→function generateFallbackAnalysis(stats, prevStats) {\n   280→  const strengths = [];\n   281→  const weaknesses = [];\n   282→  const coachingTips = [];\n   283→\n   284→  // Analyze conversion rate\n   285→  if (stats.conversionRate >= 15) {\n   286→    strengths.push(`Excellent conversion rate (${stats.conversionRate}%)`);\n   287→  } else if (stats.conversionRate >= 10) {\n   288→    strengths.push(`Good conversion rate (${stats.conversionRate}%)`);\n   289→  } else if (stats.conversionRate < 5 && stats.totalCalls > 10) {\n   290→    weaknesses.push(`Low conversion rate (${stats.conversionRate}%) - review call approach`);\n   291→    coachingTips.push('Listen to top performers\\' calls for techniques');\n   292→  }\n   293→\n   294→  // Analyze volume\n   295→  if (stats.totalCalls >= 50) {\n   296→    strengths.push('High call volume - great activity');\n   297→  } else if (stats.totalCalls < 20) {\n   298→    weaknesses.push('Low call volume - more dials needed');\n   299→    coachingTips.push('Aim for 10+ calls per day');\n   300→  }\n   301→\n   302→  // Analyze talk ratio\n   303→  if (stats.avgTalkRatio > 50) {\n   304→    weaknesses.push(`Talking too much (${stats.avgTalkRatio}%) - let leads speak more`);\n   305→    coachingTips.push('Ask open questions and pause after');\n   306→  } else if (stats.avgTalkRatio > 0 && stats.avgTalkRatio <= 40) {\n   307→    strengths.push('Good listening skills - letting leads talk');\n   308→  }\n   309→\n   310→  // Analyze improvement\n   311→  if (prevStats && stats.conversionRate > prevStats.conversionRate) {\n   312→    const improvement = stats.conversionRate - prevStats.conversionRate;\n   313→    strengths.push(`Improving! +${improvement.toFixed(1)}% vs last week`);\n   314→  }\n   315→\n   316→  // Best time coaching\n   317→  if (stats.bestHour) {\n   318→    coachingTips.push(`Your best conversion time is ${formatHour(stats.bestHour)} - book important calls then`);\n   319→  }\n   320→\n   321→  return { strengths, weaknesses, coachingTips };\n   322→}\n   323→\n   324→/**\n   325→ * Score a single call using AI\n   326→ */\n   327→async function scoreCall(communication, transcript) {\n   328→  if (!transcript || transcript.length < 50) {\n   329→    return null;\n   330→  }\n   331→\n   332→  try {\n   333→    const response = await callOpenAI([\n   334→      {\n   335→        role: 'system',\n   336→        content: `You're a sales call quality analyzer for a contractor/worker recruitment company. Score calls on a 1-10 scale. Be constructive but honest.`\n   337→      },\n   338→      {\n   339→        role: 'user',\n   340→        content: `Score this sales call transcript:\n   341→\n   342→${transcript.substring(0, 3000)}\n   343→\n   344→Respond in JSON:\n   345→{\n   346→  \"overall_score\": 7.5,\n   347→  \"opening_score\": 8,\n   348→  \"rapport_score\": 7,\n   349→  \"discovery_score\": 6,\n   350→  \"objection_score\": 7,\n   351→  \"closing_score\": 8,\n   352→  \"strengths\": [\"specific strength 1\", \"strength 2\"],\n   353→  \"improvements\": [\"specific improvement 1\", \"improvement 2\"],\n   354→  \"coaching_note\": \"One sentence actionable coaching tip\"\n   355→}\n   356→\n   357→Scoring guide:\n   358→- 9-10: Exceptional, textbook call\n   359→- 7-8: Good, minor improvements\n   360→- 5-6: Average, clear gaps\n   361→- 3-4: Below average, needs coaching\n   362→- 1-2: Poor, significant issues`\n   363→      }\n   364→    ], { model: 'gpt-4o-mini', temperature: 0.3, max_tokens: 400 });\n   365→\n   366→    return JSON.parse(response);\n   367→  } catch (error) {\n   368→    console.error('[RepPerformance] Call scoring failed:', error.message);\n   369→    return null;\n   370→  }\n   371→}\n   372→\n   373→/**\n   374→ * Save call quality score to database\n   375→ */\n   376→async function saveCallScore(communicationId, leadId, userId, scoreData, outcome, duration) {\n   377→  const db = supabaseAdmin || supabase;\n   378→  if (!db || !scoreData) return;\n   379→\n   380→  try {\n   381→    await db.from('call_quality_scores').insert({\n   382→      communication_id: communicationId,\n   383→      lead_id: leadId,\n   384→      user_id: userId,\n   385→      overall_score: scoreData.overall_score,\n   386→      opening_score: scoreData.opening_score,\n   387→      rapport_score: scoreData.rapport_score,\n   388→      discovery_score: scoreData.discovery_score,\n   389→      objection_score: scoreData.objection_score,\n   390→      closing_score: scoreData.closing_score,\n   391→      call_duration_seconds: duration,\n   392→      strengths: scoreData.strengths || [],\n   393→      improvements: scoreData.improvements || [],\n   394→      coaching_note: scoreData.coaching_note,\n   395→      call_outcome: outcome,\n   396→      led_to_conversion: outcome === 'converted',\n   397→    });\n   398→  } catch (error) {\n   399→    console.error('[RepPerformance] Failed to save call score:', error.message);\n   400→  }\n   401→}\n   402→\n   403→/**\n   404→ * Save weekly snapshot to database\n   405→ */\n   406→async function saveWeeklySnapshot(userId, displayName, weekStart, weekEnd, stats, analysis, prevStats) {\n   407→  const db = supabaseAdmin || supabase;\n   408→  if (!db) return;\n   409→\n   410→  // Calculate changes from previous week\n   411→  const callsChangePct = prevStats?.totalCalls > 0\n   412→    ? ((stats.totalCalls - prevStats.totalCalls) / prevStats.totalCalls * 100)\n   413→    : null;\n   414→\n   415→  const conversionRateChange = prevStats\n   416→    ? (stats.conversionRate - prevStats.conversionRate)\n   417→    : null;\n   418→\n   419→  try {\n   420→    await db.from('rep_weekly_snapshots').upsert({\n   421→      user_id: userId,\n   422→      display_name: displayName,\n   423→      week_start: weekStart.toISOString().split('T')[0],\n   424→      week_end: weekEnd.toISOString().split('T')[0],\n   425→      total_calls: stats.totalCalls,\n   426→      total_sms: stats.totalSms,\n   427→      inbound_sms: stats.inboundSms,\n   428→      outbound_sms: stats.outboundSms,\n   429→      avg_call_duration_seconds: stats.avgCallDuration,\n   430→      total_call_duration_seconds: stats.totalCallDuration,\n   431→      calls_with_duration: stats.callsWithDuration,\n   432→      conversions: stats.conversions,\n   433→      conversion_rate: stats.conversionRate,\n   434→      avg_call_score: stats.avgCallScore,\n   435→      calls_scored: stats.callsScored,\n   436→      avg_talk_ratio: stats.avgTalkRatio,\n   437→      objections_faced: stats.objectionsCount,\n   438→      best_hour: stats.bestHour,\n   439→      best_day: stats.bestDay,\n   440→      calls_change_pct: callsChangePct ? Math.round(callsChangePct * 10) / 10 : null,\n   441→      conversion_rate_change: conversionRateChange ? Math.round(conversionRateChange * 10) / 10 : null,\n   442→      strengths: analysis.strengths,\n   443→      weaknesses: analysis.weaknesses,\n   444→      coaching_tips: analysis.coachingTips,\n   445→      top_calls: stats.topCalls,\n   446→    }, {\n   447→      onConflict: 'user_id,week_start',\n   448→    });\n   449→\n   450→    console.log(`[RepPerformance] Saved snapshot for ${displayName}`);\n   451→  } catch (error) {\n   452→    console.error('[RepPerformance] Failed to save snapshot:', error.message);\n   453→  }\n   454→}\n   455→\n   456→/**\n   457→ * Generate full weekly report for all reps\n   458→ */\n   459→async function generateWeeklyRepReport() {\n   460→  console.log('[RepPerformance] Generating weekly rep report...');\n   461→\n   462→  const weekEnd = new Date();\n   463→  const weekStart = getWeekStartAEST(weekEnd);\n   464→\n   465→  console.log(`[RepPerformance] Week range: ${weekStart.toISOString()} to ${weekEnd.toISOString()}`);\n   466→\n   467→  // Get all reps\n   468→  const reps = await getAllReps();\n   469→  console.log(`[RepPerformance] Found ${reps.length} reps`);\n   470→\n   471→  if (reps.length === 0) {\n   472→    console.log('[RepPerformance] No reps found');\n   473→    return { success: false, reason: 'No reps found' };\n   474→  }\n   475→\n   476→  const repReports = [];\n   477→\n   478→  for (const rep of reps) {\n   479→    try {\n   480→      // Get current week stats\n   481→      const stats = await aggregateRepWeeklyStats(rep.user_id, weekStart, weekEnd);\n   482→      if (!stats || stats.totalCalls === 0) {\n   483→        console.log(`[RepPerformance] Skipping ${rep.display_name} - no activity`);\n   484→        continue;\n   485→      }\n   486→\n   487→      // Get previous week for comparison\n   488→      const prevStats = await getPreviousWeekStats(rep.user_id, weekStart);\n   489→\n   490→      // AI analysis\n   491→      const analysis = await analyzeRepPerformance(stats, rep.display_name, prevStats);\n   492→\n   493→      // Save snapshot\n   494→      await saveWeeklySnapshot(rep.user_id, rep.display_name, weekStart, weekEnd, stats, analysis, prevStats);\n   495→\n   496→      repReports.push({\n   497→        userId: rep.user_id,\n   498→        name: rep.display_name || rep.user_id,\n   499→        level: rep.level || 1,\n   500→        stats,\n   501→        prevStats,\n   502→        analysis,\n   503→      });\n   504→\n   505→    } catch (error) {\n   506→      console.error(`[RepPerformance] Error processing ${rep.display_name}:`, error.message);\n   507→    }\n   508→  }\n   509→\n   510→  // Sort by conversion rate\n   511→  repReports.sort((a, b) => b.stats.conversionRate - a.stats.conversionRate);\n   512→\n   513→  // Identify team highlights\n   514→  const topPerformer = repReports[0];\n   515→  const mostActive = repReports.slice().sort((a, b) => b.stats.totalCalls - a.stats.totalCalls)[0];\n   516→  const mostImproved = repReports\n   517→    .filter(r => r.prevStats && r.prevStats.conversionRate > 0)\n   518→    .sort((a, b) => {\n   519→      const aImprovement = a.stats.conversionRate - a.prevStats.conversionRate;\n   520→      const bImprovement = b.stats.conversionRate - b.prevStats.conversionRate;\n   521→      return bImprovement - aImprovement;\n   522→    })[0];\n   523→\n   524→  console.log(`[RepPerformance] Generated reports for ${repReports.length} reps`);\n   525→\n   526→  return {\n   527→    success: true,\n   528→    weekStart: weekStart.toISOString().split('T')[0],\n   529→    weekEnd: weekEnd.toISOString().split('T')[0],\n   530→    repsChecked: reps.length,\n   531→    reps: repReports,\n   532→    highlights: {\n   533→      topPerformer: topPerformer ? {\n   534→        name: topPerformer.name,\n   535→        conversionRate: topPerformer.stats.conversionRate,\n   536→      } : null,\n   537→      mostActive: mostActive ? {\n   538→        name: mostActive.name,\n   539→        calls: mostActive.stats.totalCalls,\n   540→      } : null,\n   541→      mostImproved: mostImproved ? {\n   542→        name: mostImproved.name,\n   543→        improvement: Math.round((mostImproved.stats.conversionRate - mostImproved.prevStats.conversionRate) * 10) / 10,\n   544→      } : null,\n   545→    },\n   546→    teamTotals: {\n   547→      calls: repReports.reduce((sum, r) => sum + r.stats.totalCalls, 0),\n   548→      conversions: repReports.reduce((sum, r) => sum + r.stats.conversions, 0),\n   549→      avgConversionRate: repReports.length > 0\n   550→        ? Math.round(repReports.reduce((sum, r) => sum + r.stats.conversionRate, 0) / repReports.length * 10) / 10\n   551→        : 0,\n   552→    },\n   553→  };\n   554→}\n   555→\n   556→/**\n   557→ * Format duration in seconds to human readable\n   558→ */\n   559→function formatDuration(seconds) {\n   560→  if (!seconds) return '0s';\n   561→  const mins = Math.floor(seconds / 60);\n   562→  const secs = seconds % 60;\n   563→  if (mins === 0) return `${secs}s`;\n   564→  return `${mins}m ${secs}s`;\n   565→}\n   566→\n   567→/**\n   568→ * Format hour to AM/PM\n   569→ */\n   570→function formatHour(hour) {\n   571→  if (hour === 0) return '12am';\n   572→  if (hour < 12) return `${hour}am`;\n   573→  if (hour === 12) return '12pm';\n   574→  return `${hour - 12}pm`;\n   575→}\n   576→\n   577→module.exports = {\n   578→  generateWeeklyRepReport,\n   579→  aggregateRepWeeklyStats,\n   580→  analyzeRepPerformance,\n   581→  scoreCall,\n   582→  saveCallScore,\n   583→  saveWeeklySnapshot,\n   584→  getAllReps,\n   585→  formatDuration,\n   586→  formatHour,\n   587→};\n   588→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d0b1fa38-1160-4748-a952-672c747f28f0","timestamp":"2026-02-07T05:52:17.211Z","sourceToolAssistantUUID":"913131b3-a3e8-4881-93c1-8c91e5791757"}
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{"parentUuid":"37daaf2a-b213-42e3-aae5-df24a79029ed","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01M6RkkJ5nRkgTy5PYM8XTXj","toolUseID":"toolu_01M6RkkJ5nRkgTy5PYM8XTXj","timestamp":"2026-02-07T05:52:17.611Z","uuid":"ac70845e-995f-42b1-8b50-a2bf8c64617a"}
{"parentUuid":"37daaf2a-b213-42e3-aae5-df24a79029ed","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M6RkkJ5nRkgTy5PYM8XTXj","type":"tool_result","content":"     1→/**\n     2→ * Compliance Service\n     3→ * Validates messages against brand guidelines and provides auto-fix suggestions\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→// Note: callOpenAI is lazy-loaded in checkToneWithAI to avoid circular dependency\n     8→\n     9→// Cache for brand guidelines (2 hour TTL)\n    10→let guidelinesCache = null;\n    11→let guidelinesCacheTime = null;\n    12→const CACHE_TTL = 2 * 60 * 60 * 1000; // 2 hours\n    13→\n    14→/**\n    15→ * Get active brand guidelines (cached)\n    16→ */\n    17→async function getGuidelines() {\n    18→  const now = Date.now();\n    19→\n    20→  if (guidelinesCache && guidelinesCacheTime && (now - guidelinesCacheTime < CACHE_TTL)) {\n    21→    return guidelinesCache;\n    22→  }\n    23→\n    24→  try {\n    25→    const { data, error } = await supabase\n    26→      .from('brand_guidelines')\n    27→      .select('*')\n    28→      .eq('is_active', true)\n    29→      .order('version', { ascending: false })\n    30→      .limit(1)\n    31→      .single();\n    32→\n    33→    if (error && error.code !== 'PGRST116') {\n    34→      console.error('Error fetching guidelines:', error);\n    35→      return getDefaultGuidelines();\n    36→    }\n    37→\n    38→    guidelinesCache = data || getDefaultGuidelines();\n    39→    guidelinesCacheTime = now;\n    40→\n    41→    return guidelinesCache;\n    42→  } catch (err) {\n    43→    console.error('Guidelines fetch error:', err);\n    44→    return getDefaultGuidelines();\n    45→  }\n    46→}\n    47→\n    48→/**\n    49→ * Default guidelines if database is unavailable\n    50→ */\n    51→function getDefaultGuidelines() {\n    52→  return {\n    53→    tone_description: 'Friendly, direct, Aussie tradie vibes. Not corporate, not salesy.',\n    54→    tone_keywords: ['mate', 'hey', 'cheers', 'no worries', 'legend'],\n    55→    banned_words: ['guaranteed', 'promise', 'best', 'cheapest', 'urgent', 'final', 'hurry', 'exclusive'],\n    56→    banned_phrases: ['act now', 'limited time', 'don\\'t miss out', 'once in a lifetime', 'last chance'],\n    57→    required_signature: 'Cheers, {sender_name} - RateRight',\n    58→    must_include_cta: true,\n    59→    max_exclamation_marks: 1\n    60→  };\n    61→}\n    62→\n    63→/**\n    64→ * Clear guidelines cache (call after updates)\n    65→ */\n    66→function clearGuidelinesCache() {\n    67→  guidelinesCache = null;\n    68→  guidelinesCacheTime = null;\n    69→}\n    70→\n    71→/**\n    72→ * Check message compliance against brand guidelines\n    73→ * @param {string} message - The message to check\n    74→ * @param {Object} options - Check options\n    75→ * @returns {Object} Compliance result\n    76→ */\n    77→async function checkCompliance(message, options = {}) {\n    78→  const {\n    79→    skipToneCheck = false,\n    80→    checkLength = true,\n    81→    maxLength = 320  // SMS limit\n    82→  } = options;\n    83→\n    84→  const guidelines = await getGuidelines();\n    85→  const issues = [];\n    86→  let score = 100;\n    87→\n    88→  // 1. Check for banned words\n    89→  const bannedWordsFound = findBannedWords(message, guidelines.banned_words || []);\n    90→  if (bannedWordsFound.length > 0) {\n    91→    bannedWordsFound.forEach(found => {\n    92→      issues.push({\n    93→        type: 'banned_word',\n    94→        severity: 'error',\n    95→        message: `Contains banned word: \"${found.word}\"`,\n    96→        position: { start: found.start, end: found.end },\n    97→        suggestion: getSuggestionForBannedWord(found.word)\n    98→      });\n    99→      score -= 15;\n   100→    });\n   101→  }\n   102→\n   103→  // 2. Check for banned phrases\n   104→  const bannedPhrasesFound = findBannedPhrases(message, guidelines.banned_phrases || []);\n   105→  if (bannedPhrasesFound.length > 0) {\n   106→    bannedPhrasesFound.forEach(found => {\n   107→      issues.push({\n   108→        type: 'banned_phrase',\n   109→        severity: 'error',\n   110→        message: `Contains banned phrase: \"${found.phrase}\"`,\n   111→        position: { start: found.start, end: found.end },\n   112→        suggestion: 'Remove this phrase or rephrase without urgency/pressure tactics'\n   113→      });\n   114→      score -= 20;\n   115→    });\n   116→  }\n   117→\n   118→  // 3. Check exclamation marks\n   119→  const exclamationCount = (message.match(/!/g) || []).length;\n   120→  const maxExclamations = guidelines.max_exclamation_marks || 1;\n   121→  if (exclamationCount > maxExclamations) {\n   122→    issues.push({\n   123→      type: 'exclamation_marks',\n   124→      severity: 'warning',\n   125→      message: `Too many exclamation marks (${exclamationCount} found, max ${maxExclamations})`,\n   126→      suggestion: 'Reduce exclamation marks to sound more conversational'\n   127→    });\n   128→    score -= 5;\n   129→  }\n   130→\n   131→  // 4. Check message length (for SMS)\n   132→  if (checkLength && message.length > maxLength) {\n   133→    issues.push({\n   134→      type: 'length',\n   135→      severity: 'warning',\n   136→      message: `Message too long (${message.length} chars, max ${maxLength})`,\n   137→      suggestion: 'Shorten the message to fit SMS limits'\n   138→    });\n   139→    score -= 10;\n   140→  }\n   141→\n   142→  // 5. Check for ALL CAPS words (3+ letters)\n   143→  const capsWords = message.match(/\\b[A-Z]{3,}\\b/g) || [];\n   144→  if (capsWords.length > 1) {\n   145→    issues.push({\n   146→      type: 'caps',\n   147→      severity: 'warning',\n   148→      message: `Too much CAPS: ${capsWords.join(', ')}`,\n   149→      suggestion: 'Reduce CAPS to avoid sounding aggressive'\n   150→    });\n   151→    score -= 5;\n   152→  }\n   153→\n   154→  // 6. Check for pressure tactics (AI-assisted)\n   155→  if (!skipToneCheck && message.length > 20) {\n   156→    const pressureTacticsFound = detectPressureTactics(message);\n   157→    if (pressureTacticsFound.length > 0) {\n   158→      pressureTacticsFound.forEach(tactic => {\n   159→        issues.push({\n   160→          type: 'pressure_tactic',\n   161→          severity: 'error',\n   162→          message: `Possible pressure tactic: \"${tactic}\"`,\n   163→          suggestion: 'Rephrase without creating false urgency'\n   164→        });\n   165→        score -= 15;\n   166→      });\n   167→    }\n   168→  }\n   169→\n   170→  // 7. Check for missing CTA (if required)\n   171→  if (guidelines.must_include_cta && !hasCTA(message)) {\n   172→    issues.push({\n   173→      type: 'missing_cta',\n   174→      severity: 'info',\n   175→      message: 'No clear call-to-action found',\n   176→      suggestion: 'Add a question or next step for the recipient'\n   177→    });\n   178→    score -= 5;\n   179→  }\n   180→\n   181→  // Ensure score doesn't go below 0\n   182→  score = Math.max(0, score);\n   183→\n   184→  // Determine if passed (score >= 70 and no errors)\n   185→  const hasErrors = issues.some(i => i.severity === 'error');\n   186→  const passed = score >= 70 && !hasErrors;\n   187→\n   188→  // Try auto-fix if there are issues\n   189→  let autoFixed = null;\n   190→  if (!passed && issues.length > 0) {\n   191→    autoFixed = attemptAutoFix(message, issues, guidelines);\n   192→  }\n   193→\n   194→  return {\n   195→    passed,\n   196→    score,\n   197→    issues,\n   198→    suggestions: issues.map(i => i.suggestion).filter(Boolean),\n   199→    autoFixed,\n   200→    guidelines: {\n   201→      tone: guidelines.tone_description,\n   202→      bannedWordsCount: guidelines.banned_words?.length || 0\n   203→    }\n   204→  };\n   205→}\n   206→\n   207→/**\n   208→ * Find banned words in message\n   209→ */\n   210→function findBannedWords(message, bannedWords) {\n   211→  const found = [];\n   212→  const lowerMessage = message.toLowerCase();\n   213→\n   214→  bannedWords.forEach(word => {\n   215→    const lowerWord = word.toLowerCase();\n   216→    const regex = new RegExp(`\\\\b${escapeRegExp(lowerWord)}\\\\b`, 'gi');\n   217→    let match;\n   218→    while ((match = regex.exec(lowerMessage)) !== null) {\n   219→      found.push({\n   220→        word,\n   221→        start: match.index,\n   222→        end: match.index + word.length\n   223→      });\n   224→    }\n   225→  });\n   226→\n   227→  return found;\n   228→}\n   229→\n   230→/**\n   231→ * Find banned phrases in message\n   232→ */\n   233→function findBannedPhrases(message, bannedPhrases) {\n   234→  const found = [];\n   235→  const lowerMessage = message.toLowerCase();\n   236→\n   237→  bannedPhrases.forEach(phrase => {\n   238→    const lowerPhrase = phrase.toLowerCase();\n   239→    let index = lowerMessage.indexOf(lowerPhrase);\n   240→    while (index !== -1) {\n   241→      found.push({\n   242→        phrase,\n   243→        start: index,\n   244→        end: index + phrase.length\n   245→      });\n   246→      index = lowerMessage.indexOf(lowerPhrase, index + 1);\n   247→    }\n   248→  });\n   249→\n   250→  return found;\n   251→}\n   252→\n   253→/**\n   254→ * Detect pressure tactics using patterns\n   255→ */\n   256→function detectPressureTactics(message) {\n   257→  const patterns = [\n   258→    /only \\d+ (left|remaining|available)/i,\n   259→    /offer (ends|expires) (today|tomorrow|soon)/i,\n   260→    /before it's too late/i,\n   261→    /won't last/i,\n   262→    /final (offer|chance|warning)/i,\n   263→    /act (now|fast|quickly)/i,\n   264→    /don't delay/i,\n   265→    /time is running out/i,\n   266→    /while (stocks|supplies) last/i\n   267→  ];\n   268→\n   269→  const found = [];\n   270→  patterns.forEach(pattern => {\n   271→    const match = message.match(pattern);\n   272→    if (match) {\n   273→      found.push(match[0]);\n   274→    }\n   275→  });\n   276→\n   277→  return found;\n   278→}\n   279→\n   280→/**\n   281→ * Check if message has a call-to-action\n   282→ */\n   283→function hasCTA(message) {\n   284→  const ctaPatterns = [\n   285→    /\\?$/,  // Ends with question\n   286→    /want me to/i,\n   287→    /let me know/i,\n   288→    /give me a call/i,\n   289→    /reply/i,\n   290→    /click here/i,\n   291→    /check out/i,\n   292→    /take a look/i,\n   293→    /what do you think/i,\n   294→    /interested\\?/i,\n   295→    /can I help/i,\n   296→    /any questions/i,\n   297→    /sound good/i,\n   298→    /fair\\?/i\n   299→  ];\n   300→\n   301→  return ctaPatterns.some(pattern => pattern.test(message));\n   302→}\n   303→\n   304→/**\n   305→ * Get suggestion for replacing banned word\n   306→ */\n   307→function getSuggestionForBannedWord(word) {\n   308→  const suggestions = {\n   309→    'guaranteed': 'Try: \"we can help you\" or \"you\\'ll likely see\"',\n   310→    'promise': 'Try: \"we aim to\" or \"our goal is\"',\n   311→    'best': 'Try: \"great\" or \"solid\"',\n   312→    'cheapest': 'Try: \"competitive\" or \"fair\"',\n   313→    'free': 'For contractors: \"no cost to you\". For workers: mention the 9.9% fee',\n   314→    'urgent': 'Try: \"when you get a chance\" or \"worth looking at\"',\n   315→    'final': 'Try: \"following up\" or \"checking in\"',\n   316→    'hurry': 'Try: \"when you\\'re ready\" or \"no rush\"',\n   317→    'exclusive': 'Try: \"available to you\" or \"you can access\"'\n   318→  };\n   319→\n   320→  return suggestions[word.toLowerCase()] || `Consider removing or rephrasing \"${word}\"`;\n   321→}\n   322→\n   323→/**\n   324→ * Attempt to auto-fix minor issues\n   325→ */\n   326→function attemptAutoFix(message, issues, guidelines) {\n   327→  let fixed = message;\n   328→  let canAutoFix = true;\n   329→\n   330→  // Only auto-fix if all issues are fixable\n   331→  const unfixableTypes = ['pressure_tactic', 'tone'];\n   332→  if (issues.some(i => i.severity === 'error' && unfixableTypes.includes(i.type))) {\n   333→    canAutoFix = false;\n   334→  }\n   335→\n   336→  if (!canAutoFix) {\n   337→    return null;\n   338→  }\n   339→\n   340→  // Fix exclamation marks\n   341→  const maxExclamations = guidelines.max_exclamation_marks || 1;\n   342→  const exclamationMatches = fixed.match(/!+/g) || [];\n   343→  let exclamationCount = exclamationMatches.reduce((sum, m) => sum + m.length, 0);\n   344→\n   345→  while (exclamationCount > maxExclamations) {\n   346→    // Replace double exclamation with single\n   347→    fixed = fixed.replace(/!!/, '!');\n   348→    // Then remove trailing exclamations if still over\n   349→    if ((fixed.match(/!/g) || []).length > maxExclamations) {\n   350→      // Remove the last exclamation\n   351→      const lastIndex = fixed.lastIndexOf('!');\n   352→      if (lastIndex > -1) {\n   353→        fixed = fixed.substring(0, lastIndex) + fixed.substring(lastIndex + 1);\n   354→      }\n   355→    }\n   356→    exclamationCount = (fixed.match(/!/g) || []).length;\n   357→  }\n   358→\n   359→  // Replace banned words with alternatives (simple replacements)\n   360→  const simpleReplacements = {\n   361→    'guaranteed': 'likely',\n   362→    'promise': 'aim to',\n   363→    'best': 'great',\n   364→    'cheapest': 'competitive',\n   365→    'urgent': 'when you get a chance',\n   366→    'hurry': 'when you\\'re ready'\n   367→  };\n   368→\n   369→  Object.entries(simpleReplacements).forEach(([banned, replacement]) => {\n   370→    const regex = new RegExp(`\\\\b${banned}\\\\b`, 'gi');\n   371→    fixed = fixed.replace(regex, replacement);\n   372→  });\n   373→\n   374→  // Return null if nothing changed\n   375→  if (fixed === message) {\n   376→    return null;\n   377→  }\n   378→\n   379→  return fixed;\n   380→}\n   381→\n   382→/**\n   383→ * Auto-fix a message (best effort)\n   384→ */\n   385→async function autoFixMessage(message) {\n   386→  const result = await checkCompliance(message);\n   387→\n   388→  if (result.passed) {\n   389→    return {\n   390→      original: message,\n   391→      fixed: message,\n   392→      changed: false,\n   393→      issues: []\n   394→    };\n   395→  }\n   396→\n   397→  if (result.autoFixed) {\n   398→    return {\n   399→      original: message,\n   400→      fixed: result.autoFixed,\n   401→      changed: true,\n   402→      issues: result.issues\n   403→    };\n   404→  }\n   405→\n   406→  // If auto-fix failed, return original with issues\n   407→  return {\n   408→    original: message,\n   409→    fixed: null,\n   410→    changed: false,\n   411→    issues: result.issues,\n   412→    requiresManualReview: true\n   413→  };\n   414→}\n   415→\n   416→/**\n   417→ * Validate a script in the database\n   418→ */\n   419→async function validateScript(scriptId) {\n   420→  try {\n   421→    const { data: script, error } = await supabase\n   422→      .from('scripts')\n   423→      .select('id, name, content, category')\n   424→      .eq('id', scriptId)\n   425→      .single();\n   426→\n   427→    if (error || !script) {\n   428→      return { success: false, error: 'Script not found' };\n   429→    }\n   430→\n   431→    if (!script.content) {\n   432→      return {\n   433→        success: true,\n   434→        scriptId,\n   435→        compliance: { passed: true, score: 100, issues: [], message: 'No content to validate (legacy script)' }\n   436→      };\n   437→    }\n   438→\n   439→    const compliance = await checkCompliance(script.content, {\n   440→      skipToneCheck: script.category === 'call' // Call scripts may have different tone needs\n   441→    });\n   442→\n   443→    // Update script compliance status\n   444→    const newStatus = compliance.passed ? 'approved' :\n   445→                      compliance.issues.some(i => i.severity === 'error') ? 'needs_review' : 'pending';\n   446→\n   447→    await supabase\n   448→      .from('scripts')\n   449→      .update({\n   450→        compliance_status: newStatus,\n   451→        compliance_checked_at: new Date().toISOString(),\n   452→        compliance_issues: compliance.issues\n   453→      })\n   454→      .eq('id', scriptId);\n   455→\n   456→    return {\n   457→      success: true,\n   458→      scriptId,\n   459→      name: script.name,\n   460→      compliance\n   461→    };\n   462→  } catch (err) {\n   463→    console.error('Script validation error:', err);\n   464→    return { success: false, error: err.message };\n   465→  }\n   466→}\n   467→\n   468→/**\n   469→ * Batch validate multiple scripts\n   470→ */\n   471→async function batchValidate(scriptIds) {\n   472→  const results = [];\n   473→\n   474→  for (const id of scriptIds) {\n   475→    const result = await validateScript(id);\n   476→    results.push(result);\n   477→  }\n   478→\n   479→  const passed = results.filter(r => r.compliance?.passed).length;\n   480→  const failed = results.filter(r => r.compliance && !r.compliance.passed).length;\n   481→\n   482→  return {\n   483→    total: results.length,\n   484→    passed,\n   485→    failed,\n   486→    results\n   487→  };\n   488→}\n   489→\n   490→/**\n   491→ * Add message to compliance review queue\n   492→ */\n   493→async function addToReviewQueue(content, options = {}) {\n   494→  const {\n   495→    sourceType = 'manual',\n   496→    sourceId = null,\n   497→    leadId = null,\n   498→    issues = [],\n   499→    suggestedFix = null\n   500→  } = options;\n   501→\n   502→  try {\n   503→    const { data, error } = await supabase\n   504→      .from('compliance_queue')\n   505→      .insert({\n   506→        source_type: sourceType,\n   507→        source_id: sourceId,\n   508→        lead_id: leadId,\n   509→        original_content: content,\n   510→        suggested_fix: suggestedFix,\n   511→        issues,\n   512→        status: 'pending'\n   513→      })\n   514→      .select()\n   515→      .single();\n   516→\n   517→    if (error) {\n   518→      console.error('Error adding to review queue:', error);\n   519→      return { success: false, error: error.message };\n   520→    }\n   521→\n   522→    return { success: true, queueItem: data };\n   523→  } catch (err) {\n   524→    console.error('Review queue error:', err);\n   525→    return { success: false, error: err.message };\n   526→  }\n   527→}\n   528→\n   529→/**\n   530→ * Check tone using AI (GPT-4o-mini for cost efficiency)\n   531→ */\n   532→async function checkToneWithAI(message, guidelines) {\n   533→  try {\n   534→    // Lazy-load to avoid circular dependency with ai.js\n   535→    const { callOpenAI } = require('./ai');\n   536→\n   537→    const prompt = `Analyze this message for brand voice compliance:\n   538→\n   539→MESSAGE: \"${message}\"\n   540→\n   541→BRAND VOICE RULES:\n   542→- Tone: ${guidelines.tone_description}\n   543→- Should use words like: ${(guidelines.tone_keywords || []).join(', ')}\n   544→- Should NOT use: ${(guidelines.banned_words || []).join(', ')}\n   545→\n   546→Rate the tone match from 0-100 and list any issues.\n   547→Respond in JSON format: { \"score\": number, \"issues\": [\"issue1\", \"issue2\"], \"suggestions\": [\"suggestion1\"] }`;\n   548→\n   549→    const response = await callOpenAI(prompt, { model: 'gpt-4o-mini', maxTokens: 200 });\n   550→\n   551→    try {\n   552→      return JSON.parse(response);\n   553→    } catch {\n   554→      return { score: 70, issues: [], suggestions: [] };\n   555→    }\n   556→  } catch (err) {\n   557→    console.error('AI tone check error:', err);\n   558→    return { score: 70, issues: [], suggestions: [] };\n   559→  }\n   560→}\n   561→\n   562→/**\n   563→ * Escape special regex characters\n   564→ */\n   565→function escapeRegExp(string) {\n   566→  return string.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&');\n   567→}\n   568→\n   569→module.exports = {\n   570→  getGuidelines,\n   571→  clearGuidelinesCache,\n   572→  checkCompliance,\n   573→  autoFixMessage,\n   574→  validateScript,\n   575→  batchValidate,\n   576→  addToReviewQueue,\n   577→  checkToneWithAI\n   578→};\n   579→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"26d42ac2-a7fe-4836-a45e-18d09184729c","timestamp":"2026-02-07T05:52:17.611Z","sourceToolAssistantUUID":"37daaf2a-b213-42e3-aae5-df24a79029ed"}
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{"parentUuid":"51b7eec7-f727-40c3-90c0-0d6e0d3dd5d2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017KqgMYD73CAiiAuEy8nnpL","type":"tool_result","content":"     1→/**\n     2→ * OpenAI Service\n     3→ * Provides chat completion functionality for AI-powered features\n     4→ */\n     5→\n     6→const OpenAI = require('openai');\n     7→\n     8→// Initialize OpenAI client (only if API key is available)\n     9→let openai = null;\n    10→if (process.env.OPENAI_API_KEY) {\n    11→  openai = new OpenAI({\n    12→    apiKey: process.env.OPENAI_API_KEY,\n    13→  });\n    14→} else {\n    15→  console.warn('[OpenAI Service] OPENAI_API_KEY not set - AI features will be disabled');\n    16→}\n    17→\n    18→/**\n    19→ * Generate a chat completion using OpenAI\n    20→ * @param {Array} messages - Array of chat messages with role and content\n    21→ * @param {Object} options - Options for the completion\n    22→ * @param {string} options.model - Model to use (default: gpt-4o-mini)\n    23→ * @param {number} options.temperature - Temperature for generation (default: 0.7)\n    24→ * @param {Object} options.response_format - Response format (e.g., { type: 'json_object' })\n    25→ * @returns {string} The content of the assistant's response\n    26→ */\n    27→async function generateChatCompletion(messages, options = {}) {\n    28→  if (!openai) {\n    29→    throw new Error('OpenAI not configured - OPENAI_API_KEY not set');\n    30→  }\n    31→\n    32→  const {\n    33→    model = 'gpt-4o-mini',\n    34→    temperature = 0.7,\n    35→    response_format,\n    36→    max_tokens,\n    37→  } = options;\n    38→\n    39→  const requestOptions = {\n    40→    model,\n    41→    messages,\n    42→    temperature,\n    43→  };\n    44→\n    45→  if (response_format) {\n    46→    requestOptions.response_format = response_format;\n    47→  }\n    48→\n    49→  if (max_tokens) {\n    50→    requestOptions.max_tokens = max_tokens;\n    51→  }\n    52→\n    53→  const response = await openai.chat.completions.create(requestOptions);\n    54→\n    55→  // Return the content string from the first choice\n    56→  return response.choices[0]?.message?.content || '';\n    57→}\n    58→\n    59→/**\n    60→ * Check if OpenAI is configured and available\n    61→ * @returns {boolean}\n    62→ */\n    63→function isConfigured() {\n    64→  return openai !== null;\n    65→}\n    66→\n    67→module.exports = {\n    68→  generateChatCompletion,\n    69→  isConfigured,\n    70→};\n    71→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d8c3ce8f-a27d-4366-87b9-55dec78ae01e","timestamp":"2026-02-07T05:52:33.958Z","sourceToolAssistantUUID":"51b7eec7-f727-40c3-90c0-0d6e0d3dd5d2"}
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{"parentUuid":"e263cab4-4b36-48a9-87a9-6241ab58d118","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DtNZ6B1L3zhMV1EBHPgSHQ","type":"tool_result","content":"     1→/**\n     2→ * Critical Alerts Service\n     3→ * Sends real-time Slack alerts for critical issues detected in usage patterns\n     4→ *\n     5→ * Monitors for:\n     6→ * - Rage clicks (user frustration)\n     7→ * - Error spikes\n     8→ * - High abandonment rates\n     9→ * - System performance issues\n    10→ */\n    11→\n    12→const { sendSlackMessage } = require('./slack');\n    13→const { supabase, supabaseAdmin } = require('../config/database');\n    14→\n    15→const db = supabaseAdmin || supabase;\n    16→\n    17→// Alert thresholds\n    18→const THRESHOLDS = {\n    19→  RAGE_CLICKS_PER_MINUTE: 3, // Alert if 3+ rage clicks in any 1-minute window\n    20→  ERRORS_PER_5MIN: 10, // Alert if 10+ errors in 5 minutes\n    21→  ABANDONMENT_RATE_SPIKE: 50, // Alert if abandonment rate > 50% in last hour\n    22→  API_FAILURES_PER_5MIN: 5, // Alert if 5+ API failures in 5 minutes\n    23→  SMS_FAILURE_RATE: 20, // Alert if >20% SMS delivery failures in last hour\n    24→  SLOW_API_THRESHOLD_MS: 5000, // Alert if API response >5 seconds\n    25→  SLOW_API_COUNT_PER_5MIN: 3, // Alert if 3+ slow responses in 5 minutes\n    26→};\n    27→\n    28→// Track recent alerts to avoid spam (dedup window in ms)\n    29→const recentAlerts = new Map();\n    30→const ALERT_DEDUP_WINDOW = 30 * 60 * 1000; // 30 minutes\n    31→\n    32→// Periodic cleanup to prevent memory leak - runs every hour\n    33→const CLEANUP_INTERVAL = 60 * 60 * 1000; // 1 hour\n    34→setInterval(() => {\n    35→  const now = Date.now();\n    36→  let cleaned = 0;\n    37→  for (const [key, time] of recentAlerts.entries()) {\n    38→    if ((now - time) > ALERT_DEDUP_WINDOW) {\n    39→      recentAlerts.delete(key);\n    40→      cleaned++;\n    41→    }\n    42→  }\n    43→  if (cleaned > 0) {\n    44→    console.log(`[CriticalAlerts] Cleaned ${cleaned} stale alert entries`);\n    45→  }\n    46→}, CLEANUP_INTERVAL);\n    47→\n    48→/**\n    49→ * Check if we should send this alert (deduplication)\n    50→ */\n    51→function shouldSendAlert(alertKey) {\n    52→  const lastSent = recentAlerts.get(alertKey);\n    53→  const now = Date.now();\n    54→\n    55→  if (lastSent && (now - lastSent) < ALERT_DEDUP_WINDOW) {\n    56→    return false;\n    57→  }\n    58→\n    59→  recentAlerts.set(alertKey, now);\n    60→\n    61→  // Cleanup old entries\n    62→  for (const [key, time] of recentAlerts.entries()) {\n    63→    if ((now - time) > ALERT_DEDUP_WINDOW) {\n    64→      recentAlerts.delete(key);\n    65→    }\n    66→  }\n    67→\n    68→  return true;\n    69→}\n    70→\n    71→/**\n    72→ * Send a critical alert to Slack\n    73→ */\n    74→async function sendCriticalAlert(title, details, severity = 'warning') {\n    75→  const emoji = severity === 'critical' ? ':rotating_light:' : ':warning:';\n    76→  const severityText = severity === 'critical' ? 'CRITICAL' : 'WARNING';\n    77→\n    78→  const message = {\n    79→    text: `${emoji} *${severityText}: ${title}*\\n${details}\\n\\n_Detected by 0.1% Intelligence System_`\n    80→  };\n    81→\n    82→  try {\n    83→    await sendSlackMessage(message);\n    84→    console.log(`[CriticalAlerts] Sent ${severity} alert: ${title}`);\n    85→  } catch (error) {\n    86→    console.error('[CriticalAlerts] Failed to send alert:', error.message);\n    87→  }\n    88→}\n    89→\n    90→/**\n    91→ * Check for rage click patterns\n    92→ * Called after each rage_click event is logged\n    93→ */\n    94→async function checkRageClicks(page, userId) {\n    95→  const oneMinuteAgo = new Date(Date.now() - 60 * 1000).toISOString();\n    96→\n    97→  const { data: recentRageClicks, error } = await db\n    98→    .from('usage_events')\n    99→    .select('id, page, created_at')\n   100→    .eq('event_type', 'rage_click')\n   101→    .eq('page', page)\n   102→    .gte('created_at', oneMinuteAgo);\n   103→\n   104→  if (error) {\n   105→    console.error('[CriticalAlerts] Error checking rage clicks:', error);\n   106→    return;\n   107→  }\n   108→\n   109→  if (recentRageClicks && recentRageClicks.length >= THRESHOLDS.RAGE_CLICKS_PER_MINUTE) {\n   110→    const alertKey = `rage_click_${page}`;\n   111→\n   112→    if (shouldSendAlert(alertKey)) {\n   113→      await sendCriticalAlert(\n   114→        'User Frustration Detected',\n   115→        `*${recentRageClicks.length} rage clicks* on \\`${page}\\` in the last minute.\\n` +\n   116→        `This indicates significant user frustration with this page.\\n\\n` +\n   117→        `*Action:* Investigate ${page} for usability issues.`,\n   118→        'warning'\n   119→      );\n   120→\n   121→      // Log to detected_friction table\n   122→      await logFriction('rage_clicks', page, recentRageClicks.length, {\n   123→        event_ids: recentRageClicks.map(e => e.id),\n   124→        time_window: '1 minute'\n   125→      });\n   126→    }\n   127→  }\n   128→}\n   129→\n   130→/**\n   131→ * Check for error spikes\n   132→ * Called periodically or after errors are logged\n   133→ */\n   134→async function checkErrorSpike() {\n   135→  const fiveMinutesAgo = new Date(Date.now() - 5 * 60 * 1000).toISOString();\n   136→\n   137→  const { data: recentErrors, error } = await db\n   138→    .from('usage_events')\n   139→    .select('id, page, event_name, context')\n   140→    .eq('event_type', 'error')\n   141→    .gte('created_at', fiveMinutesAgo);\n   142→\n   143→  if (error) {\n   144→    console.error('[CriticalAlerts] Error checking error spike:', error);\n   145→    return;\n   146→  }\n   147→\n   148→  if (recentErrors && recentErrors.length >= THRESHOLDS.ERRORS_PER_5MIN) {\n   149→    const alertKey = 'error_spike';\n   150→\n   151→    if (shouldSendAlert(alertKey)) {\n   152→      // Group by page\n   153→      const errorsByPage = {};\n   154→      recentErrors.forEach(e => {\n   155→        const page = e.page || 'unknown';\n   156→        errorsByPage[page] = (errorsByPage[page] || 0) + 1;\n   157→      });\n   158→\n   159→      const pageBreakdown = Object.entries(errorsByPage)\n   160→        .sort((a, b) => b[1] - a[1])\n   161→        .slice(0, 5)\n   162→        .map(([page, count]) => `• ${page}: ${count}`)\n   163→        .join('\\n');\n   164→\n   165→      await sendCriticalAlert(\n   166→        'Error Spike Detected',\n   167→        `*${recentErrors.length} errors* in the last 5 minutes.\\n\\n` +\n   168→        `*By page:*\\n${pageBreakdown}\\n\\n` +\n   169→        `*Action:* Check Railway logs for error details.`,\n   170→        'critical'\n   171→      );\n   172→\n   173→      // Log to detected_friction\n   174→      const topPage = Object.entries(errorsByPage).sort((a, b) => b[1] - a[1])[0];\n   175→      await logFriction('error_prone', topPage?.[0] || 'unknown', recentErrors.length, {\n   176→        by_page: errorsByPage,\n   177→        time_window: '5 minutes'\n   178→      });\n   179→    }\n   180→  }\n   181→}\n   182→\n   183→/**\n   184→ * Check for high abandonment on a specific flow\n   185→ * Called when flow_abandon events are logged\n   186→ */\n   187→async function checkAbandonmentSpike(page) {\n   188→  const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000).toISOString();\n   189→\n   190→  // Get flow complete and abandon counts for this page in the last hour\n   191→  const { data: flowEvents, error } = await db\n   192→    .from('usage_events')\n   193→    .select('event_type')\n   194→    .eq('page', page)\n   195→    .in('event_type', ['flow_complete', 'flow_abandon'])\n   196→    .gte('created_at', oneHourAgo);\n   197→\n   198→  if (error || !flowEvents || flowEvents.length < 5) {\n   199→    // Not enough data to calculate meaningful rate\n   200→    return;\n   201→  }\n   202→\n   203→  const completes = flowEvents.filter(e => e.event_type === 'flow_complete').length;\n   204→  const abandons = flowEvents.filter(e => e.event_type === 'flow_abandon').length;\n   205→  const total = completes + abandons;\n   206→\n   207→  if (total === 0) return;\n   208→\n   209→  const abandonRate = Math.round((abandons / total) * 100);\n   210→\n   211→  if (abandonRate >= THRESHOLDS.ABANDONMENT_RATE_SPIKE) {\n   212→    const alertKey = `abandonment_${page}`;\n   213→\n   214→    if (shouldSendAlert(alertKey)) {\n   215→      await sendCriticalAlert(\n   216→        'High Abandonment Rate',\n   217→        `*${abandonRate}% abandonment* on \\`${page}\\` in the last hour.\\n` +\n   218→        `• Completed: ${completes}\\n` +\n   219→        `• Abandoned: ${abandons}\\n\\n` +\n   220→        `*Action:* Review ${page} flow for friction points.`,\n   221→        'warning'\n   222→      );\n   223→\n   224→      // Log to detected_friction\n   225→      await logFriction('high_abandonment', page, abandonRate, {\n   226→        completes,\n   227→        abandons,\n   228→        total,\n   229→        time_window: '1 hour'\n   230→      });\n   231→    }\n   232→  }\n   233→}\n   234→\n   235→/**\n   236→ * Check for API failures (Twilio, OpenAI, etc.)\n   237→ * Called after API errors are logged\n   238→ */\n   239→async function checkApiFailures() {\n   240→  const fiveMinutesAgo = new Date(Date.now() - 5 * 60 * 1000).toISOString();\n   241→\n   242→  const { data: recentFailures, error } = await db\n   243→    .from('usage_events')\n   244→    .select('id, event_name, page, context')\n   245→    .eq('event_type', 'api_call')\n   246→    .eq('context->>success', 'false')\n   247→    .gte('created_at', fiveMinutesAgo);\n   248→\n   249→  if (error) {\n   250→    console.error('[CriticalAlerts] Error checking API failures:', error);\n   251→    return;\n   252→  }\n   253→\n   254→  if (recentFailures && recentFailures.length >= THRESHOLDS.API_FAILURES_PER_5MIN) {\n   255→    const alertKey = 'api_failure_spike';\n   256→\n   257→    if (shouldSendAlert(alertKey)) {\n   258→      // Group by endpoint\n   259→      const byEndpoint = {};\n   260→      recentFailures.forEach(f => {\n   261→        const endpoint = f.context?.endpoint || 'unknown';\n   262→        byEndpoint[endpoint] = (byEndpoint[endpoint] || 0) + 1;\n   263→      });\n   264→\n   265→      const endpointBreakdown = Object.entries(byEndpoint)\n   266→        .sort((a, b) => b[1] - a[1])\n   267→        .slice(0, 5)\n   268→        .map(([endpoint, count]) => `• ${endpoint}: ${count}`)\n   269→        .join('\\n');\n   270→\n   271→      // Detect if it's a specific service down\n   272→      const isTwilio = Object.keys(byEndpoint).some(e => e.includes('twilio') || e.includes('sms') || e.includes('call'));\n   273→      const isOpenAI = Object.keys(byEndpoint).some(e => e.includes('openai') || e.includes('ai') || e.includes('gpt'));\n   274→\n   275→      let serviceName = 'API';\n   276→      if (isTwilio) serviceName = 'Twilio';\n   277→      if (isOpenAI) serviceName = 'OpenAI';\n   278→\n   279→      await sendCriticalAlert(\n   280→        `${serviceName} Failures Detected`,\n   281→        `*${recentFailures.length} API failures* in the last 5 minutes.\\n\\n` +\n   282→        `*By endpoint:*\\n${endpointBreakdown}\\n\\n` +\n   283→        `*Action:* Check ${serviceName} status and Railway logs.`,\n   284→        'critical'\n   285→      );\n   286→\n   287→      // Log to detected_friction\n   288→      await logFriction('api_failure', serviceName.toLowerCase(), recentFailures.length, {\n   289→        by_endpoint: byEndpoint,\n   290→        time_window: '5 minutes'\n   291→      });\n   292→    }\n   293→  }\n   294→}\n   295→\n   296→/**\n   297→ * Check for SMS delivery failures\n   298→ * Monitors delivery_status in communications table\n   299→ */\n   300→async function checkSmsDeliveryFailures() {\n   301→  const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000).toISOString();\n   302→\n   303→  // Get SMS delivery stats from last hour\n   304→  const { data: smsStats, error } = await db\n   305→    .from('communications')\n   306→    .select('delivery_status')\n   307→    .eq('type', 'sms')\n   308→    .eq('direction', 'outbound')\n   309→    .gte('created_at', oneHourAgo);\n   310→\n   311→  if (error) {\n   312→    console.error('[CriticalAlerts] Error checking SMS delivery:', error);\n   313→    return;\n   314→  }\n   315→\n   316→  if (!smsStats || smsStats.length < 5) {\n   317→    // Not enough data\n   318→    return;\n   319→  }\n   320→\n   321→  const total = smsStats.length;\n   322→  const failed = smsStats.filter(s => s.delivery_status === 'failed' || s.delivery_status === 'undelivered').length;\n   323→  const failureRate = Math.round((failed / total) * 100);\n   324→\n   325→  if (failureRate >= THRESHOLDS.SMS_FAILURE_RATE) {\n   326→    const alertKey = 'sms_delivery_failure';\n   327→\n   328→    if (shouldSendAlert(alertKey)) {\n   329→      // Get recent failure reasons\n   330→      const { data: failures } = await db\n   331→        .from('communications')\n   332→        .select('metadata')\n   333→        .eq('type', 'sms')\n   334→        .eq('direction', 'outbound')\n   335→        .in('delivery_status', ['failed', 'undelivered'])\n   336→        .gte('created_at', oneHourAgo)\n   337→        .limit(10);\n   338→\n   339→      const reasons = failures?.map(f => f.metadata?.error_message || 'Unknown').filter(Boolean);\n   340→      const uniqueReasons = [...new Set(reasons)].slice(0, 3);\n   341→\n   342→      await sendCriticalAlert(\n   343→        'SMS Delivery Failures',\n   344→        `*${failureRate}% SMS failure rate* in the last hour.\\n` +\n   345→        `• Total sent: ${total}\\n` +\n   346→        `• Failed: ${failed}\\n\\n` +\n   347→        `*Common errors:*\\n${uniqueReasons.map(r => `• ${r}`).join('\\n') || '• No specific errors recorded'}\\n\\n` +\n   348→        `*Action:* Check Twilio console and phone number validity.`,\n   349→        failureRate >= 50 ? 'critical' : 'warning'\n   350→      );\n   351→\n   352→      // Log to detected_friction\n   353→      await logFriction('sms_delivery', 'twilio', failureRate, {\n   354→        total,\n   355→        failed,\n   356→        failure_rate: failureRate,\n   357→        common_errors: uniqueReasons,\n   358→        time_window: '1 hour'\n   359→      });\n   360→    }\n   361→  }\n   362→}\n   363→\n   364→/**\n   365→ * Check for slow API responses (performance degradation)\n   366→ * Monitors api_call events with duration_ms > 5 seconds\n   367→ */\n   368→async function checkSlowApiResponses() {\n   369→  const fiveMinutesAgo = new Date(Date.now() - 5 * 60 * 1000).toISOString();\n   370→\n   371→  const { data: slowCalls, error } = await db\n   372→    .from('usage_events')\n   373→    .select('id, event_name, page, context, duration_ms')\n   374→    .eq('event_type', 'api_call')\n   375→    .gte('duration_ms', THRESHOLDS.SLOW_API_THRESHOLD_MS)\n   376→    .gte('created_at', fiveMinutesAgo);\n   377→\n   378→  if (error) {\n   379→    console.error('[CriticalAlerts] Error checking slow APIs:', error);\n   380→    return;\n   381→  }\n   382→\n   383→  if (slowCalls && slowCalls.length >= THRESHOLDS.SLOW_API_COUNT_PER_5MIN) {\n   384→    const alertKey = 'slow_api_response';\n   385→\n   386→    if (shouldSendAlert(alertKey)) {\n   387→      // Group by endpoint\n   388→      const byEndpoint = {};\n   389→      slowCalls.forEach(c => {\n   390→        const endpoint = c.context?.endpoint || 'unknown';\n   391→        if (!byEndpoint[endpoint]) {\n   392→          byEndpoint[endpoint] = { count: 0, totalMs: 0 };\n   393→        }\n   394→        byEndpoint[endpoint].count++;\n   395→        byEndpoint[endpoint].totalMs += c.duration_ms || 0;\n   396→      });\n   397→\n   398→      const endpointBreakdown = Object.entries(byEndpoint)\n   399→        .sort((a, b) => b[1].count - a[1].count)\n   400→        .slice(0, 5)\n   401→        .map(([endpoint, stats]) => {\n   402→          const avgMs = Math.round(stats.totalMs / stats.count);\n   403→          return `• ${endpoint}: ${stats.count}x (avg ${avgMs}ms)`;\n   404→        })\n   405→        .join('\\n');\n   406→\n   407→      await sendCriticalAlert(\n   408→        'Performance Degradation',\n   409→        `*${slowCalls.length} slow API responses* (>${THRESHOLDS.SLOW_API_THRESHOLD_MS / 1000}s) in the last 5 minutes.\\n\\n` +\n   410→        `*Slowest endpoints:*\\n${endpointBreakdown}\\n\\n` +\n   411→        `*Action:* Check Railway metrics, database load, and external API health.`,\n   412→        'warning'\n   413→      );\n   414→\n   415→      // Log to detected_friction\n   416→      await logFriction('slow_api', 'performance', slowCalls.length, {\n   417→        by_endpoint: byEndpoint,\n   418→        threshold_ms: THRESHOLDS.SLOW_API_THRESHOLD_MS,\n   419→        time_window: '5 minutes'\n   420→      });\n   421→    }\n   422→  }\n   423→}\n   424→\n   425→/**\n   426→ * Log friction point to detected_friction table\n   427→ */\n   428→async function logFriction(frictionType, location, severityValue, evidence) {\n   429→  try {\n   430→    const today = new Date().toISOString().split('T')[0];\n   431→\n   432→    // Check if similar friction already detected today\n   433→    const { data: existing } = await db\n   434→      .from('detected_friction')\n   435→      .select('id')\n   436→      .eq('detection_date', today)\n   437→      .eq('friction_type', frictionType)\n   438→      .eq('location', location)\n   439→      .single();\n   440→\n   441→    if (existing) {\n   442→      // Update existing friction point\n   443→      await db\n   444→        .from('detected_friction')\n   445→        .update({\n   446→          severity_score: Math.max(severityValue, existing.severity_score || 0),\n   447→          evidence: evidence,\n   448→          occurrences_per_week: (existing.occurrences_per_week || 0) + 1\n   449→        })\n   450→        .eq('id', existing.id);\n   451→    } else {\n   452→      // Create new friction point\n   453→      await db\n   454→        .from('detected_friction')\n   455→        .insert({\n   456→          detection_date: today,\n   457→          friction_type: frictionType,\n   458→          location: location,\n   459→          severity_score: severityValue,\n   460→          evidence: evidence,\n   461→          occurrences_per_week: 1,\n   462→          status: 'detected'\n   463→        });\n   464→    }\n   465→  } catch (error) {\n   466→    console.error('[CriticalAlerts] Failed to log friction:', error.message);\n   467→  }\n   468→}\n   469→\n   470→/**\n   471→ * Process a usage event and check for critical patterns\n   472→ * Call this from the tracking endpoint\n   473→ */\n   474→async function processEventForAlerts(event) {\n   475→  const { event_type, page, user_id, context, duration_ms } = event;\n   476→\n   477→  switch (event_type) {\n   478→    case 'rage_click':\n   479→      await checkRageClicks(page, user_id);\n   480→      break;\n   481→    case 'error':\n   482→      await checkErrorSpike();\n   483→      break;\n   484→    case 'flow_abandon':\n   485→      if (page) {\n   486→        await checkAbandonmentSpike(page);\n   487→      }\n   488→      break;\n   489→    case 'api_call':\n   490→      // Check for API failures and slow responses\n   491→      if (context?.success === false) {\n   492→        await checkApiFailures();\n   493→      }\n   494→      if (duration_ms && duration_ms >= THRESHOLDS.SLOW_API_THRESHOLD_MS) {\n   495→        await checkSlowApiResponses();\n   496→      }\n   497→      break;\n   498→  }\n   499→}\n   500→\n   501→/**\n   502→ * Run a full check for all alert types\n   503→ * Can be called periodically or manually\n   504→ */\n   505→async function runFullAlertCheck() {\n   506→  console.log('[CriticalAlerts] Running full alert check...');\n   507→\n   508→  // Original checks\n   509→  await checkErrorSpike();\n   510→\n   511→  // Check abandonment on all major pages\n   512→  const majorPages = ['call_list', 'inbox', 'dashboard', 'lead_profile', 'call_prep'];\n   513→  for (const page of majorPages) {\n   514→    await checkAbandonmentSpike(page);\n   515→  }\n   516→\n   517→  // New checks: API, SMS, Performance\n   518→  await checkApiFailures();\n   519→  await checkSmsDeliveryFailures();\n   520→  await checkSlowApiResponses();\n   521→\n   522→  console.log('[CriticalAlerts] Full check complete');\n   523→}\n   524→\n   525→module.exports = {\n   526→  processEventForAlerts,\n   527→  checkRageClicks,\n   528→  checkErrorSpike,\n   529→  checkAbandonmentSpike,\n   530→  checkApiFailures,\n   531→  checkSmsDeliveryFailures,\n   532→  checkSlowApiResponses,\n   533→  runFullAlertCheck,\n   534→  sendCriticalAlert,\n   535→  THRESHOLDS\n   536→};\n   537→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"bbda3407-4410-4c48-96bd-7781943ca3ca","timestamp":"2026-02-07T05:52:34.422Z","sourceToolAssistantUUID":"e263cab4-4b36-48a9-87a9-6241ab58d118"}
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{"parentUuid":"bd04999e-2055-4d94-bd40-ecacc5d97174","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01694uSrn9bX378Pa3pYkgg6","toolUseID":"toolu_01694uSrn9bX378Pa3pYkgg6","timestamp":"2026-02-07T05:52:34.864Z","uuid":"2a696fcd-7040-4443-82f4-8f4d866e34d1"}
{"parentUuid":"bd04999e-2055-4d94-bd40-ecacc5d97174","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01694uSrn9bX378Pa3pYkgg6","type":"tool_result","content":"     1→/**\n     2→ * Leaderboard Service - Real-time competitive rankings\n     3→ * Part of Gamification Battleground (Priority #7)\n     4→ */\n     5→const { supabase } = require('../config/database');\n     6→\n     7→// Record types for Hall of Fame\n     8→const RECORD_TYPES = {\n     9→  MOST_CALLS_DAY: 'most_calls_day',\n    10→  BIGGEST_DEAL: 'biggest_deal',\n    11→  LONGEST_STREAK: 'longest_streak',\n    12→  FASTEST_CLOSE: 'fastest_close',       // Minutes from first contact to conversion\n    13→  MOST_WINS_WEEK: 'most_wins_week',\n    14→};\n    15→\n    16→// Weekly badge types\n    17→const WEEKLY_BADGES = {\n    18→  CLOSER: { id: 'closer', emoji: '🦁', name: 'Closer', stat: 'conversions' },\n    19→  DIALER: { id: 'dialer', emoji: '📞', name: 'Dialer', stat: 'calls' },\n    20→  SPEED_DEMON: { id: 'speed_demon', emoji: '⚡', name: 'Speed Demon', stat: 'avg_response_time' },\n    21→  SNIPER: { id: 'sniper', emoji: '🎯', name: 'Sniper', stat: 'conversion_rate' },\n    22→  CONSISTENT: { id: 'consistent', emoji: '🛡️', name: 'Consistent', stat: 'days_active' },\n    23→  EARLY_BIRD: { id: 'early_bird', emoji: '🌅', name: 'Early Bird', stat: 'calls_before_9am' },\n    24→  NIGHT_OWL: { id: 'night_owl', emoji: '🦉', name: 'Night Owl', stat: 'calls_after_5pm' },\n    25→};\n    26→\n    27→// Streak tiers\n    28→const STREAK_TIERS = {\n    29→  3: { tier: 'bronze', emoji: '🔥', name: 'Bronze Flame' },\n    30→  7: { tier: 'silver', emoji: '🔥🔥', name: 'Silver Blaze' },\n    31→  14: { tier: 'gold', emoji: '🔥🔥🔥', name: 'Gold Inferno' },\n    32→  30: { tier: 'diamond', emoji: '💎🔥', name: 'Diamond Legend' },\n    33→};\n    34→\n    35→/**\n    36→ * Get today's start in AEST timezone\n    37→ * Returns a Date object representing midnight AEST as UTC\n    38→ */\n    39→function getTodayStartAEST() {\n    40→  const AEST_OFFSET_HOURS = 10;\n    41→  const AEST_OFFSET_MS = AEST_OFFSET_HOURS * 60 * 60 * 1000;\n    42→  const now = new Date();\n    43→\n    44→  // Convert current UTC time to AEST by adding offset\n    45→  const aestTime = new Date(now.getTime() + AEST_OFFSET_MS);\n    46→\n    47→  // Get midnight AEST (using UTC methods on the shifted time)\n    48→  const midnightAESTAsUTC = new Date(Date.UTC(\n    49→    aestTime.getUTCFullYear(),\n    50→    aestTime.getUTCMonth(),\n    51→    aestTime.getUTCDate(),\n    52→    0, 0, 0, 0\n    53→  ));\n    54→\n    55→  // Convert back to actual UTC by subtracting offset\n    56→  return new Date(midnightAESTAsUTC.getTime() - AEST_OFFSET_MS);\n    57→}\n    58→\n    59→/**\n    60→ * Get week start in AEST (Monday at midnight AEST)\n    61→ */\n    62→function getWeekStartAEST() {\n    63→  const AEST_OFFSET_HOURS = 10;\n    64→  const AEST_OFFSET_MS = AEST_OFFSET_HOURS * 60 * 60 * 1000;\n    65→  const now = new Date();\n    66→\n    67→  // Convert to AEST\n    68→  const aestTime = new Date(now.getTime() + AEST_OFFSET_MS);\n    69→\n    70→  // Get day of week in AEST (0 = Sunday)\n    71→  const aestDay = aestTime.getUTCDay();\n    72→  // Calculate days to subtract to get to Monday (1)\n    73→  const daysToMonday = aestDay === 0 ? 6 : aestDay - 1;\n    74→\n    75→  const aestWeekStart = new Date(Date.UTC(\n    76→    aestTime.getUTCFullYear(),\n    77→    aestTime.getUTCMonth(),\n    78→    aestTime.getUTCDate() - daysToMonday,\n    79→    0, 0, 0, 0\n    80→  ));\n    81→\n    82→  // Convert back to UTC\n    83→  return new Date(aestWeekStart.getTime() - AEST_OFFSET_MS);\n    84→}\n    85→\n    86→/**\n    87→ * Get month start in AEST\n    88→ */\n    89→function getMonthStartAEST() {\n    90→  const AEST_OFFSET_HOURS = 10;\n    91→  const AEST_OFFSET_MS = AEST_OFFSET_HOURS * 60 * 60 * 1000;\n    92→  const now = new Date();\n    93→\n    94→  // Convert to AEST\n    95→  const aestTime = new Date(now.getTime() + AEST_OFFSET_MS);\n    96→\n    97→  const aestMonthStart = new Date(Date.UTC(\n    98→    aestTime.getUTCFullYear(),\n    99→    aestTime.getUTCMonth(),\n   100→    1, 0, 0, 0, 0\n   101→  ));\n   102→\n   103→  // Convert back to UTC\n   104→  return new Date(aestMonthStart.getTime() - AEST_OFFSET_MS);\n   105→}\n   106→\n   107→/**\n   108→ * Get leaderboard for a specific period\n   109→ */\n   110→async function getLeaderboard(period = 'today', limit = 10) {\n   111→  try {\n   112→    const now = new Date();\n   113→    let startDate;\n   114→\n   115→    // Use AEST timezone for Australian users\n   116→    switch (period) {\n   117→      case 'today':\n   118→        startDate = getTodayStartAEST().toISOString();\n   119→        break;\n   120→      case 'week':\n   121→        startDate = getWeekStartAEST().toISOString();\n   122→        break;\n   123→      case 'month':\n   124→        startDate = getMonthStartAEST().toISOString();\n   125→        break;\n   126→      default:\n   127→        startDate = null; // all time\n   128→    }\n   129→\n   130→    // Get XP earned in period from xp_history\n   131→    let xpQuery = supabase\n   132→      .from('xp_history')\n   133→      .select('user_id, amount');\n   134→\n   135→    if (startDate) {\n   136→      xpQuery = xpQuery.gte('created_at', startDate);\n   137→    }\n   138→\n   139→    const { data: xpData, error: xpError } = await xpQuery;\n   140→    if (xpError) console.error('XP query error:', xpError);\n   141→\n   142→    // Aggregate by user\n   143→    const userXP = {};\n   144→    (xpData || []).forEach(row => {\n   145→      userXP[row.user_id] = (userXP[row.user_id] || 0) + row.amount;\n   146→    });\n   147→\n   148→    // Get user profiles\n   149→    const { data: users, error: usersError } = await supabase\n   150→      .from('user_xp')\n   151→      .select('user_id, display_name, level, current_streak, current_badges, status, total_xp');\n   152→\n   153→    if (usersError) console.error('Users query error:', usersError);\n   154→\n   155→    // Get previous positions for comparison\n   156→    const yesterday = new Date();\n   157→    yesterday.setDate(yesterday.getDate() - 1);\n   158→    const { data: prevSnapshot } = await supabase\n   159→      .from('leaderboard_snapshots')\n   160→      .select('user_id, position')\n   161→      .eq('period', period)\n   162→      .eq('snapshot_date', yesterday.toISOString().split('T')[0]);\n   163→\n   164→    const prevPositions = {};\n   165→    (prevSnapshot || []).forEach(row => {\n   166→      prevPositions[row.user_id] = row.position;\n   167→    });\n   168→\n   169→    // Get call/conversion counts for period\n   170→    let callQuery = supabase\n   171→      .from('call_log')\n   172→      .select('user_id, outcome');\n   173→\n   174→    if (startDate) {\n   175→      callQuery = callQuery.gte('created_at', startDate);\n   176→    }\n   177→\n   178→    const { data: callStats } = await callQuery;\n   179→\n   180→    const userCalls = {};\n   181→    const userConversions = {};\n   182→    (callStats || []).forEach(row => {\n   183→      if (!row.user_id) return;\n   184→      userCalls[row.user_id] = (userCalls[row.user_id] || 0) + 1;\n   185→      if (row.outcome === 'converted' || row.outcome === 'won') {\n   186→        userConversions[row.user_id] = (userConversions[row.user_id] || 0) + 1;\n   187→      }\n   188→    });\n   189→\n   190→    // Build leaderboard\n   191→    const leaderboard = (users || [])\n   192→      .map(user => ({\n   193→        userId: user.user_id,\n   194→        name: user.display_name || 'Anonymous',\n   195→        xp: period === 'all' ? (user.total_xp || 0) : (userXP[user.user_id] || 0),\n   196→        level: user.level || 1,\n   197→        streak: user.current_streak || 0,\n   198→        badges: user.current_badges || [],\n   199→        status: user.status || 'grinding',\n   200→        calls: userCalls[user.user_id] || 0,\n   201→        conversions: userConversions[user.user_id] || 0,\n   202→      }))\n   203→      .sort((a, b) => b.xp - a.xp)\n   204→      .slice(0, limit)\n   205→      .map((user, index) => {\n   206→        const prevPos = prevPositions[user.userId];\n   207→        let positionChange = 0;\n   208→        if (prevPos !== undefined) {\n   209→          positionChange = prevPos - (index + 1); // Positive = moved up\n   210→        }\n   211→        return {\n   212→          ...user,\n   213→          position: index + 1,\n   214→          positionChange,\n   215→          isLeader: index === 0,\n   216→        };\n   217→      });\n   218→\n   219→    return { leaderboard, period };\n   220→  } catch (error) {\n   221→    console.error('getLeaderboard error:', error);\n   222→    return { leaderboard: [], period, error: error.message };\n   223→  }\n   224→}\n   225→\n   226→/**\n   227→ * Check for overtake and create alert\n   228→ */\n   229→async function checkOvertake(userId, userName, newPosition, period) {\n   230→  try {\n   231→    const { data: prev } = await supabase\n   232→      .from('leaderboard_snapshots')\n   233→      .select('position')\n   234→      .eq('user_id', userId)\n   235→      .eq('period', period)\n   236→      .order('snapshot_date', { ascending: false })\n   237→      .limit(1)\n   238→      .single();\n   239→\n   240→    if (prev && newPosition < prev.position) {\n   241→      // User moved up - find who they overtook\n   242→      const { leaderboard } = await getLeaderboard(period, 10);\n   243→      const overtaken = leaderboard.find(u => u.position === newPosition + 1);\n   244→\n   245→      if (overtaken) {\n   246→        await createPulseEvent({\n   247→          event_type: 'overtake',\n   248→          user_id: userId,\n   249→          user_name: userName,\n   250→          title: `${userName} just overtook ${overtaken.name}!`,\n   251→          subtitle: `Now #${newPosition} on the ${period} leaderboard`,\n   252→          emoji: '🚀',\n   253→          link_type: 'leaderboard',\n   254→        });\n   255→\n   256→        return { overtook: overtaken.name, newPosition };\n   257→      }\n   258→    }\n   259→    return null;\n   260→  } catch (error) {\n   261→    console.error('checkOvertake error:', error);\n   262→    return null;\n   263→  }\n   264→}\n   265→\n   266→/**\n   267→ * Check and update Hall of Fame record\n   268→ */\n   269→async function checkRecord(recordType, userId, userName, value, details = {}) {\n   270→  try {\n   271→    const { data: current } = await supabase\n   272→      .from('hall_of_fame')\n   273→      .select('*')\n   274→      .eq('record_type', recordType)\n   275→      .single();\n   276→\n   277→    if (!current || value > current.value) {\n   278→      // NEW RECORD!\n   279→      const { error } = await supabase\n   280→        .from('hall_of_fame')\n   281→        .upsert({\n   282→          record_type: recordType,\n   283→          user_id: userId,\n   284→          user_name: userName,\n   285→          value,\n   286→          details,\n   287→          previous_holder_id: current?.user_id,\n   288→          previous_value: current?.value,\n   289→          achieved_at: new Date().toISOString(),\n   290→        });\n   291→\n   292→      if (error) {\n   293→        console.error('Hall of Fame upsert error:', error);\n   294→        return { newRecord: false, error: error.message };\n   295→      }\n   296→\n   297→      // Create pulse event\n   298→      await createPulseEvent({\n   299→        event_type: 'record_broken',\n   300→        user_id: userId,\n   301→        user_name: userName,\n   302→        title: `NEW RECORD! ${userName} broke the ${formatRecordName(recordType)} record!`,\n   303→        subtitle: current ? `Previous: ${current.user_name} (${current.value})` : 'First ever!',\n   304→        emoji: '🏆',\n   305→      });\n   306→\n   307→      // Notify Slack\n   308→      await notifySlackRecord(recordType, userName, value, current);\n   309→\n   310→      return { newRecord: true, previousHolder: current?.user_name };\n   311→    }\n   312→\n   313→    return { newRecord: false };\n   314→  } catch (error) {\n   315→    console.error('checkRecord error:', error);\n   316→    return { newRecord: false, error: error.message };\n   317→  }\n   318→}\n   319→\n   320→/**\n   321→ * Get Hall of Fame\n   322→ */\n   323→async function getHallOfFame() {\n   324→  try {\n   325→    const { data, error } = await supabase\n   326→      .from('hall_of_fame')\n   327→      .select('*')\n   328→      .order('achieved_at', { ascending: false });\n   329→\n   330→    if (error) {\n   331→      console.error('getHallOfFame error:', error);\n   332→      return [];\n   333→    }\n   334→\n   335→    return data || [];\n   336→  } catch (error) {\n   337→    console.error('getHallOfFame error:', error);\n   338→    return [];\n   339→  }\n   340→}\n   341→\n   342→/**\n   343→ * Create team pulse event\n   344→ */\n   345→async function createPulseEvent({ event_type, user_id, user_name, title, subtitle, emoji, link_type, link_id }) {\n   346→  try {\n   347→    const { error } = await supabase\n   348→      .from('team_pulse')\n   349→      .insert({\n   350→        event_type,\n   351→        user_id,\n   352→        user_name,\n   353→        title,\n   354→        subtitle,\n   355→        emoji,\n   356→        link_type,\n   357→        link_id,\n   358→      });\n   359→\n   360→    if (error) {\n   361→      console.error('createPulseEvent error:', error);\n   362→    }\n   363→  } catch (error) {\n   364→    console.error('createPulseEvent error:', error);\n   365→  }\n   366→}\n   367→\n   368→/**\n   369→ * Get team pulse feed\n   370→ */\n   371→async function getTeamPulse(limit = 20) {\n   372→  try {\n   373→    const { data, error } = await supabase\n   374→      .from('team_pulse')\n   375→      .select('*')\n   376→      .order('created_at', { ascending: false })\n   377→      .limit(limit);\n   378→\n   379→    if (error) {\n   380→      console.error('getTeamPulse error:', error);\n   381→      return [];\n   382→    }\n   383→\n   384→    return data || [];\n   385→  } catch (error) {\n   386→    console.error('getTeamPulse error:', error);\n   387→    return [];\n   388→  }\n   389→}\n   390→\n   391→/**\n   392→ * Update streak tier\n   393→ */\n   394→async function updateStreakTier(userId, streakDays) {\n   395→  try {\n   396→    let tier = 'none';\n   397→    const thresholds = Object.keys(STREAK_TIERS).map(Number).sort((a, b) => b - a);\n   398→\n   399→    for (const threshold of thresholds) {\n   400→      if (streakDays >= threshold) {\n   401→        tier = STREAK_TIERS[threshold].tier;\n   402→        break;\n   403→      }\n   404→    }\n   405→\n   406→    const { error } = await supabase\n   407→      .from('user_xp')\n   408→      .update({ streak_tier: tier })\n   409→      .eq('user_id', userId);\n   410→\n   411→    if (error) {\n   412→      console.error('updateStreakTier error:', error);\n   413→    }\n   414→\n   415→    return tier;\n   416→  } catch (error) {\n   417→    console.error('updateStreakTier error:', error);\n   418→    return 'none';\n   419→  }\n   420→}\n   421→\n   422→/**\n   423→ * Save leaderboard snapshot (for tracking position changes)\n   424→ */\n   425→async function saveLeaderboardSnapshot(period = 'today') {\n   426→  try {\n   427→    const { leaderboard } = await getLeaderboard(period, 50);\n   428→    const today = new Date().toISOString().split('T')[0];\n   429→\n   430→    const snapshots = leaderboard.map(user => ({\n   431→      user_id: user.userId,\n   432→      period,\n   433→      snapshot_date: today,\n   434→      position: user.position,\n   435→      calls: user.calls,\n   436→      conversions: user.conversions,\n   437→      xp: user.xp,\n   438→      streak: user.streak,\n   439→    }));\n   440→\n   441→    if (snapshots.length > 0) {\n   442→      const { error } = await supabase\n   443→        .from('leaderboard_snapshots')\n   444→        .upsert(snapshots, { onConflict: 'user_id,period,snapshot_date' });\n   445→\n   446→      if (error) {\n   447→        console.error('saveLeaderboardSnapshot error:', error);\n   448→      }\n   449→    }\n   450→\n   451→    return { saved: snapshots.length };\n   452→  } catch (error) {\n   453→    console.error('saveLeaderboardSnapshot error:', error);\n   454→    return { saved: 0, error: error.message };\n   455→  }\n   456→}\n   457→\n   458→/**\n   459→ * Notify Slack of record\n   460→ */\n   461→async function notifySlackRecord(recordType, userName, value, previous) {\n   462→  try {\n   463→    const slackService = require('./slack');\n   464→    const recordName = formatRecordName(recordType);\n   465→\n   466→    let message = `*HALL OF FAME RECORD BROKEN!*\\n\\n`;\n   467→    message += `*${userName}* just set a new record for *${recordName}*!\\n`;\n   468→    message += `New record: *${value}*\\n`;\n   469→    if (previous) {\n   470→      message += `Previous holder: ${previous.user_name} (${previous.value})`;\n   471→    }\n   472→\n   473→    await slackService.sendNotification(message, '#sales-wins');\n   474→  } catch (error) {\n   475→    console.error('notifySlackRecord error:', error);\n   476→  }\n   477→}\n   478→\n   479→function formatRecordName(recordType) {\n   480→  const names = {\n   481→    most_calls_day: 'Most Calls in a Day',\n   482→    biggest_deal: 'Biggest Deal',\n   483→    longest_streak: 'Longest Streak',\n   484→    fastest_close: 'Fastest Close',\n   485→    most_wins_week: 'Most Wins in a Week',\n   486→  };\n   487→  return names[recordType] || recordType;\n   488→}\n   489→\n   490→/**\n   491→ * Get today's call count for a user (for record checking)\n   492→ * Uses communications table with type='call_outbound'\n   493→ */\n   494→async function getTodaysCallCount(userId) {\n   495→  try {\n   496→    // Use AEST timezone for \"today\"\n   497→    const todayStart = getTodayStartAEST();\n   498→\n   499→    const { data, error } = await supabase\n   500→      .from('communications')\n   501→      .select('id')\n   502→      .eq('type', 'call_outbound')\n   503→      .gte('created_at', todayStart.toISOString());\n   504→\n   505→    if (error) {\n   506→      console.error('getTodaysCallCount error:', error);\n   507→      return 0;\n   508→    }\n   509→\n   510→    return data?.length || 0;\n   511→  } catch (error) {\n   512→    console.error('getTodaysCallCount error:', error);\n   513→    return 0;\n   514→  }\n   515→}\n   516→\n   517→module.exports = {\n   518→  RECORD_TYPES,\n   519→  WEEKLY_BADGES,\n   520→  STREAK_TIERS,\n   521→  getLeaderboard,\n   522→  checkOvertake,\n   523→  checkRecord,\n   524→  getHallOfFame,\n   525→  createPulseEvent,\n   526→  getTeamPulse,\n   527→  updateStreakTier,\n   528→  saveLeaderboardSnapshot,\n   529→  getTodaysCallCount,\n   530→  formatRecordName,\n   531→};\n   532→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"35717c4d-e633-4a82-9b4d-ba94eb0a0697","timestamp":"2026-02-07T05:52:34.864Z","sourceToolAssistantUUID":"bd04999e-2055-4d94-bd40-ecacc5d97174"}
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{"parentUuid":"4a4ae93b-cbb0-4c51-922c-097670f48468","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WfZiuUKLV4dvgRtmgvAvkx","toolUseID":"toolu_01WfZiuUKLV4dvgRtmgvAvkx","timestamp":"2026-02-07T05:52:35.275Z","uuid":"f2ce1cbe-2a68-4038-ae7d-c8bda00807ec"}
{"parentUuid":"4a4ae93b-cbb0-4c51-922c-097670f48468","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WfZiuUKLV4dvgRtmgvAvkx","type":"tool_result","content":"     1→/**\n     2→ * Deepgram Service for Live Transcription\n     3→ * Uses Deepgram's WebSocket API for real-time speech-to-text\n     4→ */\n     5→\n     6→const DEEPGRAM_API_KEY = process.env.DEEPGRAM_API_KEY;\n     7→\n     8→/**\n     9→ * Check if Deepgram is configured\n    10→ */\n    11→function isConfigured() {\n    12→  return !!DEEPGRAM_API_KEY;\n    13→}\n    14→\n    15→/**\n    16→ * Get Deepgram configuration for client\n    17→ * Returns URL and API key for real-time WebSocket transcription\n    18→ */\n    19→function getClientConfig() {\n    20→  if (!DEEPGRAM_API_KEY) {\n    21→    return {\n    22→      configured: false,\n    23→      error: 'Deepgram not configured - add DEEPGRAM_API_KEY to environment'\n    24→    };\n    25→  }\n    26→\n    27→  // Return WebSocket URL with parameters\n    28→  // Note: Don't specify sample_rate for container formats (WebM) - auto-detected\n    29→  // Raw PCM audio from Web Audio API (browser default is 48kHz)\n    30→  const params = new URLSearchParams({\n    31→    model: 'nova-2',\n    32→    language: 'en-AU',\n    33→    encoding: 'linear16',\n    34→    sample_rate: '48000',\n    35→    channels: '1',\n    36→    smart_format: 'true',\n    37→    interim_results: 'true',\n    38→    vad_events: 'true',\n    39→    punctuate: 'true',\n    40→    endpointing: '300',\n    41→  });\n    42→\n    43→  return {\n    44→    configured: true,\n    45→    // Client expects 'url' and 'apiKey' for WebSocket connection\n    46→    url: `wss://api.deepgram.com/v1/listen?${params.toString()}`,\n    47→    apiKey: DEEPGRAM_API_KEY,\n    48→  };\n    49→}\n    50→\n    51→/**\n    52→ * Get API key for server-side use only\n    53→ * NEVER expose this to the client\n    54→ */\n    55→function getApiKey() {\n    56→  return DEEPGRAM_API_KEY;\n    57→}\n    58→\n    59→/**\n    60→ * Get full WebSocket URL with auth for server-side proxying\n    61→ * @returns {string|null}\n    62→ */\n    63→function getAuthenticatedWSUrl() {\n    64→  if (!DEEPGRAM_API_KEY) {\n    65→    return null;\n    66→  }\n    67→\n    68→  const params = new URLSearchParams({\n    69→    model: 'nova-2',\n    70→    language: 'en-AU',\n    71→    smart_format: 'true',\n    72→    interim_results: 'true',\n    73→    utterance_end_ms: '1000',\n    74→    vad_events: 'true',\n    75→    punctuate: 'true',\n    76→  });\n    77→\n    78→  return `wss://api.deepgram.com/v1/listen?${params.toString()}`;\n    79→}\n    80→\n    81→module.exports = {\n    82→  isConfigured,\n    83→  getClientConfig,\n    84→  getApiKey,\n    85→  getAuthenticatedWSUrl,\n    86→};\n    87→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8a48f114-afb7-4c74-9d37-b7bbb5aaf1d3","timestamp":"2026-02-07T05:52:35.275Z","sourceToolAssistantUUID":"4a4ae93b-cbb0-4c51-922c-097670f48468"}
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{"parentUuid":"a1aae110-bde4-49ba-8acd-71b4a6cd2aac","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GUu2GjPhACEZTgXbSMs5HY","toolUseID":"toolu_01GUu2GjPhACEZTgXbSMs5HY","timestamp":"2026-02-07T05:52:38.347Z","uuid":"c36bc06c-19fa-451a-a5a6-5c3690e6a65f"}
{"parentUuid":"a1aae110-bde4-49ba-8acd-71b4a6cd2aac","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GUu2GjPhACEZTgXbSMs5HY","type":"tool_result","content":"     1→/**\n     2→ * Lead Scoring Service\n     3→ * Calculates and updates lead scores based on activity\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→// Scoring rules\n     9→const SCORE_RULES = {\n    10→  // Positive signals\n    11→  sms_reply_positive: 40,\n    12→  sms_reply_question: 20,\n    13→  call_interested: 30,\n    14→  call_connected: 10,\n    15→  platform_job_posted: 50,\n    16→  platform_worker_hired: 30,\n    17→  platform_login_recent: 20,\n    18→\n    19→  // Buying signals (stackable)\n    20→  buying_signal_high: 30,    // \"Sign me up\", \"When can you start?\"\n    21→  buying_signal_medium: 15,  // \"That's reasonable\", \"Have a job starting\"\n    22→  buying_signal_low: 5,      // \"Tell me more\", \"What does it cost?\"\n    23→\n    24→  // Negative signals\n    25→  sms_reply_negative: -100,\n    26→  call_not_interested: -50,\n    27→  call_wrong_number: -100,\n    28→\n    29→  // Decay\n    30→  no_response_14_days: -20,\n    31→  days_since_contact_penalty: -2, // per day over 7 days\n    32→};\n    33→\n    34→/**\n    35→ * Calculate score for a lead\n    36→ * @param {string} leadId - Lead UUID\n    37→ * @returns {Promise<{score: number, breakdown: object}>}\n    38→ */\n    39→async function calculateLeadScore(leadId) {\n    40→  if (!supabase) {\n    41→    return { score: 0, breakdown: {} };\n    42→  }\n    43→\n    44→  const breakdown = {};\n    45→  let score = 0;\n    46→\n    47→  // Get lead\n    48→  const { data: lead } = await supabase\n    49→    .from('leads')\n    50→    .select('*')\n    51→    .eq('id', leadId)\n    52→    .single();\n    53→\n    54→  if (!lead) {\n    55→    return { score: 0, breakdown: { error: 'Lead not found' } };\n    56→  }\n    57→\n    58→  // Get communications\n    59→  const { data: comms } = await supabase\n    60→    .from('communications')\n    61→    .select('*')\n    62→    .eq('lead_id', leadId)\n    63→    .order('created_at', { ascending: false });\n    64→\n    65→  // Get platform activity\n    66→  const { data: activity } = await supabase\n    67→    .from('platform_activity')\n    68→    .select('*')\n    69→    .eq('lead_id', leadId)\n    70→    .order('activity_at', { ascending: false });\n    71→\n    72→  // Score SMS replies and buying signals\n    73→  const inboundSms = (comms || []).filter(c => c.type === 'sms_inbound');\n    74→  for (const sms of inboundSms) {\n    75→    const intent = sms.metadata?.intent;\n    76→    if (intent === 'positive') {\n    77→      score += SCORE_RULES.sms_reply_positive;\n    78→      breakdown.sms_reply_positive = (breakdown.sms_reply_positive || 0) + SCORE_RULES.sms_reply_positive;\n    79→    } else if (intent === 'question') {\n    80→      score += SCORE_RULES.sms_reply_question;\n    81→      breakdown.sms_reply_question = (breakdown.sms_reply_question || 0) + SCORE_RULES.sms_reply_question;\n    82→    } else if (intent === 'negative') {\n    83→      score += SCORE_RULES.sms_reply_negative;\n    84→      breakdown.sms_reply_negative = SCORE_RULES.sms_reply_negative;\n    85→      // Negative reply caps the score\n    86→      break;\n    87→    }\n    88→\n    89→    // Add buying signal bonus (on top of intent scoring)\n    90→    const buyingSignal = sms.metadata?.buyingSignal;\n    91→    if (buyingSignal?.level === 'high') {\n    92→      score += SCORE_RULES.buying_signal_high;\n    93→      breakdown.buying_signal_high = (breakdown.buying_signal_high || 0) + SCORE_RULES.buying_signal_high;\n    94→    } else if (buyingSignal?.level === 'medium') {\n    95→      score += SCORE_RULES.buying_signal_medium;\n    96→      breakdown.buying_signal_medium = (breakdown.buying_signal_medium || 0) + SCORE_RULES.buying_signal_medium;\n    97→    } else if (buyingSignal?.level === 'low') {\n    98→      score += SCORE_RULES.buying_signal_low;\n    99→      breakdown.buying_signal_low = (breakdown.buying_signal_low || 0) + SCORE_RULES.buying_signal_low;\n   100→    }\n   101→  }\n   102→\n   103→  // Also check buying signals stored in lead metadata (from calls, etc.)\n   104→  const storedSignals = lead.metadata?.buying_signals || [];\n   105→  const recentSignals = storedSignals.filter(s => {\n   106→    const signalDate = new Date(s.detected_at);\n   107→    const daysSince = (Date.now() - signalDate.getTime()) / (1000 * 60 * 60 * 24);\n   108→    return daysSince <= 30; // Only count signals from last 30 days\n   109→  });\n   110→  for (const signal of recentSignals) {\n   111→    if (signal.type === 'high' && !breakdown.buying_signal_high) {\n   112→      score += SCORE_RULES.buying_signal_high;\n   113→      breakdown.buying_signal_high = (breakdown.buying_signal_high || 0) + SCORE_RULES.buying_signal_high;\n   114→    } else if (signal.type === 'medium' && !breakdown.buying_signal_medium) {\n   115→      score += SCORE_RULES.buying_signal_medium;\n   116→      breakdown.buying_signal_medium = (breakdown.buying_signal_medium || 0) + SCORE_RULES.buying_signal_medium;\n   117→    } else if (signal.type === 'low' && !breakdown.buying_signal_low) {\n   118→      score += SCORE_RULES.buying_signal_low;\n   119→      breakdown.buying_signal_low = (breakdown.buying_signal_low || 0) + SCORE_RULES.buying_signal_low;\n   120→    }\n   121→  }\n   122→\n   123→  // Score call outcomes\n   124→  const calls = (comms || []).filter(c => c.type === 'call_outbound');\n   125→  for (const call of calls) {\n   126→    const outcome = call.metadata?.outcome;\n   127→    if (outcome === 'interested') {\n   128→      score += SCORE_RULES.call_interested;\n   129→      breakdown.call_interested = (breakdown.call_interested || 0) + SCORE_RULES.call_interested;\n   130→    } else if (outcome === 'connected') {\n   131→      score += SCORE_RULES.call_connected;\n   132→      breakdown.call_connected = (breakdown.call_connected || 0) + SCORE_RULES.call_connected;\n   133→    } else if (outcome === 'not_interested') {\n   134→      score += SCORE_RULES.call_not_interested;\n   135→      breakdown.call_not_interested = SCORE_RULES.call_not_interested;\n   136→    } else if (outcome === 'wrong_number') {\n   137→      score += SCORE_RULES.call_wrong_number;\n   138→      breakdown.call_wrong_number = SCORE_RULES.call_wrong_number;\n   139→    }\n   140→  }\n   141→\n   142→  // Score platform activity\n   143→  for (const act of (activity || [])) {\n   144→    if (act.activity_type === 'job_posted') {\n   145→      score += SCORE_RULES.platform_job_posted;\n   146→      breakdown.platform_job_posted = (breakdown.platform_job_posted || 0) + SCORE_RULES.platform_job_posted;\n   147→    } else if (act.activity_type === 'worker_hired') {\n   148→      score += SCORE_RULES.platform_worker_hired;\n   149→      breakdown.platform_worker_hired = (breakdown.platform_worker_hired || 0) + SCORE_RULES.platform_worker_hired;\n   150→    } else if (act.activity_type === 'login') {\n   151→      const actDate = new Date(act.activity_at);\n   152→      const daysSince = (Date.now() - actDate.getTime()) / (1000 * 60 * 60 * 24);\n   153→      if (daysSince <= 7) {\n   154→        score += SCORE_RULES.platform_login_recent;\n   155→        breakdown.platform_login_recent = SCORE_RULES.platform_login_recent;\n   156→      }\n   157→    }\n   158→  }\n   159→\n   160→  // Apply decay for no recent contact\n   161→  if (lead.last_contact_at) {\n   162→    const lastContact = new Date(lead.last_contact_at);\n   163→    const daysSince = (Date.now() - lastContact.getTime()) / (1000 * 60 * 60 * 24);\n   164→\n   165→    if (daysSince > 14) {\n   166→      score += SCORE_RULES.no_response_14_days;\n   167→      breakdown.no_response_14_days = SCORE_RULES.no_response_14_days;\n   168→    }\n   169→\n   170→    if (daysSince > 7) {\n   171→      const penalty = Math.floor(daysSince - 7) * SCORE_RULES.days_since_contact_penalty;\n   172→      score += penalty;\n   173→      breakdown.days_since_contact_penalty = penalty;\n   174→    }\n   175→  }\n   176→\n   177→  // Ensure score is within bounds\n   178→  score = Math.max(-100, Math.min(100, score));\n   179→\n   180→  return { score, breakdown };\n   181→}\n   182→\n   183→/**\n   184→ * Update a lead's score\n   185→ * @param {string} leadId - Lead UUID\n   186→ * @returns {Promise<{success: boolean, score?: number, error?: string}>}\n   187→ */\n   188→async function updateLeadScore(leadId) {\n   189→  if (!supabase) {\n   190→    return { success: false, error: 'Database not configured' };\n   191→  }\n   192→\n   193→  const { score, breakdown } = await calculateLeadScore(leadId);\n   194→\n   195→  // Get current lead metadata to merge with score_breakdown\n   196→  const { data: lead, error: fetchError } = await supabase\n   197→    .from('leads')\n   198→    .select('metadata')\n   199→    .eq('id', leadId)\n   200→    .single();\n   201→\n   202→  if (fetchError) {\n   203→    return { success: false, error: fetchError.message };\n   204→  }\n   205→\n   206→  // Merge score_breakdown into existing metadata\n   207→  const currentMetadata = lead?.metadata || {};\n   208→  const updatedMetadata = {\n   209→    ...currentMetadata,\n   210→    score_breakdown: breakdown\n   211→  };\n   212→\n   213→  const { error } = await supabase\n   214→    .from('leads')\n   215→    .update({\n   216→      score,\n   217→      metadata: updatedMetadata\n   218→    })\n   219→    .eq('id', leadId);\n   220→\n   221→  if (error) {\n   222→    return { success: false, error: error.message };\n   223→  }\n   224→\n   225→  return { success: true, score, breakdown };\n   226→}\n   227→\n   228→/**\n   229→ * Recalculate scores for all active leads\n   230→ * @returns {Promise<{updated: number, errors: number}>}\n   231→ */\n   232→async function recalculateAllScores() {\n   233→  if (!supabase) {\n   234→    return { updated: 0, errors: 0 };\n   235→  }\n   236→\n   237→  const { data: leads } = await supabase\n   238→    .from('leads')\n   239→    .select('id')\n   240→    .is('deleted_at', null)\n   241→    .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")');\n   242→\n   243→  let updated = 0;\n   244→  let errors = 0;\n   245→\n   246→  for (const lead of (leads || [])) {\n   247→    const result = await updateLeadScore(lead.id);\n   248→    if (result.success) {\n   249→      updated++;\n   250→    } else {\n   251→      errors++;\n   252→    }\n   253→  }\n   254→\n   255→  console.log(`Score recalculation: ${updated} updated, ${errors} errors`);\n   256→  return { updated, errors };\n   257→}\n   258→\n   259→/**\n   260→ * Get score tier label\n   261→ * @param {number} score - Lead score\n   262→ * @returns {string} Tier label\n   263→ */\n   264→function getScoreTier(score) {\n   265→  if (score >= 70) return 'hot';\n   266→  if (score >= 50) return 'warm';\n   267→  if (score >= 20) return 'cool';\n   268→  if (score >= 0) return 'cold';\n   269→  return 'dead';\n   270→}\n   271→\n   272→module.exports = {\n   273→  calculateLeadScore,\n   274→  updateLeadScore,\n   275→  recalculateAllScores,\n   276→  getScoreTier,\n   277→  SCORE_RULES\n   278→};\n   279→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"5f79215a-f1fb-41dc-80a4-df71104743ad","timestamp":"2026-02-07T05:52:38.347Z","sourceToolAssistantUUID":"a1aae110-bde4-49ba-8acd-71b4a6cd2aac"}
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{"parentUuid":"12474e69-3d5a-4942-9c21-f0331e74f17f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Lr5uVqGyk59uqgtRmTbv8m","toolUseID":"toolu_01Lr5uVqGyk59uqgtRmTbv8m","timestamp":"2026-02-07T05:52:38.862Z","uuid":"539f6094-63f6-4872-85ea-13e96ae5fc13"}
{"parentUuid":"12474e69-3d5a-4942-9c21-f0331e74f17f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lr5uVqGyk59uqgtRmTbv8m","type":"tool_result","content":"     1→/**\n     2→ * Push Notifications Service\n     3→ * Sends browser push notifications via Web Push protocol\n     4→ */\n     5→\n     6→const webpush = require('web-push');\n     7→const { supabase, supabaseAdmin } = require('../config/database');\n     8→\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→// Configure VAPID (Voluntary Application Server Identification)\n    12→if (process.env.VAPID_PUBLIC_KEY && process.env.VAPID_PRIVATE_KEY) {\n    13→  webpush.setVapidDetails(\n    14→    'mailto:support@rateright.com.au',\n    15→    process.env.VAPID_PUBLIC_KEY,\n    16→    process.env.VAPID_PRIVATE_KEY\n    17→  );\n    18→  console.log('[PushNotifications] VAPID configured');\n    19→} else {\n    20→  console.warn('[PushNotifications] VAPID keys not configured - push notifications disabled');\n    21→}\n    22→\n    23→/**\n    24→ * Send push notification to a specific user\n    25→ * @param {string} userId - User ID to send notification to\n    26→ * @param {object} notification - Notification payload\n    27→ * @returns {Promise<{sent: number, reason?: string}>}\n    28→ */\n    29→async function sendPushNotification(userId, notification) {\n    30→  if (!process.env.VAPID_PUBLIC_KEY) {\n    31→    console.log('[Push] VAPID not configured, skipping');\n    32→    return { sent: 0, reason: 'vapid_not_configured' };\n    33→  }\n    34→\n    35→  try {\n    36→    // Check user preferences\n    37→    const { data: prefs } = await db\n    38→      .from('notification_preferences')\n    39→      .select('*')\n    40→      .eq('user_id', userId)\n    41→      .single();\n    42→\n    43→    // Check quiet hours (AEST)\n    44→    if (prefs && isQuietHours(prefs.quiet_hours_start, prefs.quiet_hours_end)) {\n    45→      console.log(`[Push] Skipping - quiet hours for user ${userId}`);\n    46→      return { sent: 0, reason: 'quiet_hours' };\n    47→    }\n    48→\n    49→    // Check preference for this notification type\n    50→    const typeKey = notification.type; // e.g., 'high_intent_sms'\n    51→    if (prefs && typeKey && prefs[typeKey] === false) {\n    52→      console.log(`[Push] Skipping - ${typeKey} disabled for user ${userId}`);\n    53→      return { sent: 0, reason: 'preference_disabled' };\n    54→    }\n    55→\n    56→    // Get user's push subscriptions\n    57→    const { data: subscriptions, error: subError } = await db\n    58→      .from('push_subscriptions')\n    59→      .select('*')\n    60→      .eq('user_id', userId);\n    61→\n    62→    if (subError) {\n    63→      console.error('[Push] Error fetching subscriptions:', subError);\n    64→      return { sent: 0, reason: 'db_error' };\n    65→    }\n    66→\n    67→    if (!subscriptions?.length) {\n    68→      console.log(`[Push] No subscriptions for user ${userId}`);\n    69→      return { sent: 0, reason: 'no_subscriptions' };\n    70→    }\n    71→\n    72→    let sent = 0;\n    73→    for (const sub of subscriptions) {\n    74→      try {\n    75→        await webpush.sendNotification(\n    76→          {\n    77→            endpoint: sub.endpoint,\n    78→            keys: sub.keys\n    79→          },\n    80→          JSON.stringify(notification)\n    81→        );\n    82→        sent++;\n    83→\n    84→        // Update last_used_at\n    85→        await db\n    86→          .from('push_subscriptions')\n    87→          .update({ last_used_at: new Date().toISOString() })\n    88→          .eq('id', sub.id);\n    89→\n    90→        console.log(`[Push] Sent to user ${userId} via subscription ${sub.id}`);\n    91→      } catch (err) {\n    92→        if (err.statusCode === 410 || err.statusCode === 404) {\n    93→          // Subscription expired, remove it\n    94→          await db.from('push_subscriptions').delete().eq('id', sub.id);\n    95→          console.log(`[Push] Removed expired subscription ${sub.id}`);\n    96→        } else {\n    97→          console.error(`[Push] Failed to send to ${sub.id}:`, err.message);\n    98→        }\n    99→      }\n   100→    }\n   101→\n   102→    return { sent };\n   103→  } catch (error) {\n   104→    console.error('[Push] Error:', error);\n   105→    return { sent: 0, reason: error.message };\n   106→  }\n   107→}\n   108→\n   109→/**\n   110→ * Check if current time is within quiet hours (AEST)\n   111→ * @param {string} start - Start time (e.g., '22:00')\n   112→ * @param {string} end - End time (e.g., '07:00')\n   113→ * @returns {boolean}\n   114→ */\n   115→function isQuietHours(start, end) {\n   116→  if (!start || !end) return false;\n   117→\n   118→  const now = new Date();\n   119→  const aestOffset = 10 * 60; // AEST = UTC+10 in minutes\n   120→  const nowMinutes = now.getUTCHours() * 60 + now.getUTCMinutes();\n   121→  const aestMinutes = (nowMinutes + aestOffset) % (24 * 60);\n   122→\n   123→  const [startH, startM] = start.split(':').map(Number);\n   124→  const [endH, endM] = end.split(':').map(Number);\n   125→\n   126→  const startMinutes = startH * 60 + (startM || 0);\n   127→  const endMinutes = endH * 60 + (endM || 0);\n   128→\n   129→  // Handle overnight quiet hours (e.g., 22:00 - 07:00)\n   130→  if (startMinutes > endMinutes) {\n   131→    return aestMinutes >= startMinutes || aestMinutes < endMinutes;\n   132→  }\n   133→\n   134→  return aestMinutes >= startMinutes && aestMinutes < endMinutes;\n   135→}\n   136→\n   137→/**\n   138→ * Broadcast notification to multiple users\n   139→ * @param {object} notification - Notification payload\n   140→ * @param {string} role - Optional role filter (e.g., 'closer')\n   141→ * @returns {Promise<{totalSent: number}>}\n   142→ */\n   143→async function broadcastPush(notification, role = null) {\n   144→  try {\n   145→    // Get all users with push subscriptions\n   146→    const { data: subscriptions } = await db\n   147→      .from('push_subscriptions')\n   148→      .select('user_id')\n   149→      .order('user_id');\n   150→\n   151→    if (!subscriptions?.length) {\n   152→      console.log('[Push] No subscriptions to broadcast to');\n   153→      return { totalSent: 0 };\n   154→    }\n   155→\n   156→    // Get unique user IDs\n   157→    const userIds = [...new Set(subscriptions.map(s => s.user_id))];\n   158→\n   159→    // If role filter, check user_xp table\n   160→    let filteredUserIds = userIds;\n   161→    if (role) {\n   162→      const { data: users } = await db\n   163→        .from('user_xp')\n   164→        .select('user_id')\n   165→        .eq('role', role)\n   166→        .in('user_id', userIds);\n   167→\n   168→      filteredUserIds = users?.map(u => u.user_id) || [];\n   169→    }\n   170→\n   171→    let totalSent = 0;\n   172→    for (const userId of filteredUserIds) {\n   173→      const result = await sendPushNotification(userId, notification);\n   174→      totalSent += result.sent;\n   175→    }\n   176→\n   177→    console.log(`[Push] Broadcast sent to ${totalSent} subscriptions`);\n   178→    return { totalSent };\n   179→  } catch (error) {\n   180→    console.error('[Push] Broadcast error:', error);\n   181→    return { totalSent: 0 };\n   182→  }\n   183→}\n   184→\n   185→/**\n   186→ * Send high-intent SMS notification\n   187→ * @param {object} lead - Lead object\n   188→ * @param {string} message - SMS message content\n   189→ * @param {object} buyingSignal - Buying signal details\n   190→ */\n   191→async function notifyHighIntentSms(lead, message, buyingSignal) {\n   192→  const leadName = `${lead?.first_name || ''} ${lead?.last_name || ''}`.trim() || 'Unknown';\n   193→  const messagePreview = message?.substring(0, 50) + (message?.length > 50 ? '...' : '');\n   194→\n   195→  const notification = {\n   196→    title: buyingSignal?.level === 'high' ? '🔥 HIGH INTENT' : '⚡ Buying Signal',\n   197→    body: `${leadName}: \"${messagePreview}\"`,\n   198→    tag: `sms-${lead?.id || Date.now()}`,\n   199→    type: 'high_intent_sms',\n   200→    priority: buyingSignal?.level === 'high' ? 'critical' : 'high',\n   201→    vibrate: [200, 100, 200, 100, 200],\n   202→    url: `/leads/${lead?.id}`,\n   203→    leadId: lead?.id,\n   204→    actions: [\n   205→      { action: 'call', title: '📞 Call Now' },\n   206→      { action: 'view', title: 'View' }\n   207→    ]\n   208→  };\n   209→\n   210→  // Send to assigned user or broadcast\n   211→  if (lead?.assigned_to) {\n   212→    return sendPushNotification(lead.assigned_to, notification);\n   213→  } else {\n   214→    return broadcastPush(notification, 'closer');\n   215→  }\n   216→}\n   217→\n   218→/**\n   219→ * Send new signup notification\n   220→ * @param {object} lead - New lead object\n   221→ */\n   222→async function notifyNewSignup(lead) {\n   223→  const leadName = `${lead?.first_name || ''} ${lead?.last_name || ''}`.trim() || 'Unknown';\n   224→  const trade = lead?.metadata?.trade || 'Unknown trade';\n   225→  const location = lead?.metadata?.location || lead?.metadata?.suburb || 'Unknown';\n   226→\n   227→  const notification = {\n   228→    title: '🆕 New Signup',\n   229→    body: `${leadName} - ${trade} in ${location}`,\n   230→    tag: `signup-${lead?.id}`,\n   231→    type: 'new_leads',\n   232→    priority: 'high',\n   233→    url: `/leads/${lead?.id}`,\n   234→    leadId: lead?.id\n   235→  };\n   236→\n   237→  return broadcastPush(notification, 'closer');\n   238→}\n   239→\n   240→/**\n   241→ * Send callback reminder notification\n   242→ * @param {object} callback - Callback object with lead data\n   243→ * @param {number} minutesUntil - Minutes until callback is due\n   244→ */\n   245→async function notifyCallbackDue(callback, minutesUntil) {\n   246→  const lead = callback.leads || callback.lead;\n   247→  const leadName = `${lead?.first_name || ''} ${lead?.last_name || ''}`.trim() || 'Unknown';\n   248→\n   249→  const notification = {\n   250→    title: `⏰ Callback in ${minutesUntil} min`,\n   251→    body: `${leadName}${callback.reason ? ` - ${callback.reason}` : ''}`,\n   252→    tag: `callback-${callback.id}`,\n   253→    type: 'callbacks',\n   254→    priority: 'high',\n   255→    vibrate: [200, 100, 200],\n   256→    url: `/leads/${lead?.id}?action=call`,\n   257→    leadId: lead?.id,\n   258→    actions: [\n   259→      { action: 'call', title: '📞 Call Now' },\n   260→      { action: 'snooze', title: '⏰ +15 min' }\n   261→    ]\n   262→  };\n   263→\n   264→  if (callback.user_id) {\n   265→    return sendPushNotification(callback.user_id, notification);\n   266→  }\n   267→\n   268→  return { sent: 0, reason: 'no_user_id' };\n   269→}\n   270→\n   271→/**\n   272→ * Send conversion celebration notification\n   273→ * @param {object} lead - Converted lead\n   274→ * @param {string} convertedBy - User who converted the lead\n   275→ */\n   276→async function notifyConversion(lead, convertedBy) {\n   277→  const leadName = `${lead?.first_name || ''} ${lead?.last_name || ''}`.trim() || 'Unknown';\n   278→\n   279→  const notification = {\n   280→    title: '🎉 Conversion!',\n   281→    body: `${leadName} just converted!`,\n   282→    tag: `conversion-${lead?.id}`,\n   283→    type: 'conversions',\n   284→    priority: 'medium',\n   285→    url: `/leads/${lead?.id}`,\n   286→    leadId: lead?.id\n   287→  };\n   288→\n   289→  // Notify the closer who converted\n   290→  if (convertedBy) {\n   291→    await sendPushNotification(convertedBy, notification);\n   292→  }\n   293→\n   294→  // Also broadcast to team\n   295→  return broadcastPush(notification);\n   296→}\n   297→\n   298→module.exports = {\n   299→  sendPushNotification,\n   300→  broadcastPush,\n   301→  isQuietHours,\n   302→  notifyHighIntentSms,\n   303→  notifyNewSignup,\n   304→  notifyCallbackDue,\n   305→  notifyConversion\n   306→};\n   307→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"3c2b5235-7808-4ad1-8639-229a4566f643","timestamp":"2026-02-07T05:52:38.862Z","sourceToolAssistantUUID":"12474e69-3d5a-4942-9c21-f0331e74f17f"}
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{"parentUuid":"36b631ce-b471-420b-bd00-685a277da627","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VP7nPvrJdBBYpEpLMsEY6m","type":"tool_result","content":"     1→/**\n     2→ * Weekly Intelligence Analysis Service\n     3→ * Analyzes usage data to detect friction, find patterns, and suggest improvements\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→const OpenAI = require('openai');\n     8→\n     9→const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });\n    10→\n    11→// Use admin client to bypass RLS for backend operations\n    12→const db = supabaseAdmin || supabase;\n    13→\n    14→/**\n    15→ * Run the full weekly analysis\n    16→ */\n    17→async function runWeeklyAnalysis() {\n    18→  console.log('Starting weekly intelligence analysis...');\n    19→\n    20→  const weekStart = getWeekStart();\n    21→  const weekEnd = new Date();\n    22→\n    23→  try {\n    24→    // Gather all data\n    25→    const [pageStats, flowStats, errorStats, aiStats] = await Promise.all([\n    26→      getPageStats(weekStart, weekEnd),\n    27→      getFlowStats(weekStart, weekEnd),\n    28→      getErrorStats(weekStart, weekEnd),\n    29→      getAIQualityStats(weekStart, weekEnd)\n    30→    ]);\n    31→\n    32→    // Run AI analysis\n    33→    const analysis = await analyzeWithAI({\n    34→      pageStats,\n    35→      flowStats,\n    36→      errorStats,\n    37→      aiStats,\n    38→      weekStart,\n    39→      weekEnd\n    40→    });\n    41→\n    42→    // Store results\n    43→    const report = await storeWeeklyReport({\n    44→      weekStart,\n    45→      weekEnd,\n    46→      pageStats,\n    47→      flowStats,\n    48→      errorStats,\n    49→      aiStats,\n    50→      analysis\n    51→    });\n    52→\n    53→    // Create suggestions from analysis\n    54→    await createSuggestionsFromAnalysis(analysis, report.id);\n    55→\n    56→    console.log('Weekly analysis complete. Report ID:', report.id);\n    57→    return report;\n    58→  } catch (error) {\n    59→    console.error('Weekly analysis failed:', error);\n    60→    throw error;\n    61→  }\n    62→}\n    63→\n    64→/**\n    65→ * Get the start of the current week (Monday)\n    66→ */\n    67→function getWeekStart() {\n    68→  const now = new Date();\n    69→  const day = now.getDay();\n    70→  const diff = now.getDate() - day + (day === 0 ? -6 : 1); // Adjust for Sunday\n    71→  const monday = new Date(now.setDate(diff));\n    72→  monday.setHours(0, 0, 0, 0);\n    73→  return monday;\n    74→}\n    75→\n    76→/**\n    77→ * Get page-level statistics\n    78→ */\n    79→async function getPageStats(startDate, endDate) {\n    80→  const { data, error } = await db\n    81→    .from('usage_events')\n    82→    .select('page, event_type, duration_ms')\n    83→    .gte('created_at', startDate.toISOString())\n    84→    .lte('created_at', endDate.toISOString())\n    85→    .not('page', 'is', null);\n    86→\n    87→  if (error) {\n    88→    console.error('Error getting page stats:', error);\n    89→    return [];\n    90→  }\n    91→\n    92→  // Aggregate by page\n    93→  const pageMap = {};\n    94→  for (const event of data || []) {\n    95→    if (!pageMap[event.page]) {\n    96→      pageMap[event.page] = {\n    97→        page: event.page,\n    98→        views: 0,\n    99→        completions: 0,\n   100→        abandons: 0,\n   101→        rage_clicks: 0,\n   102→        errors: 0,\n   103→        total_duration: 0,\n   104→        duration_count: 0\n   105→      };\n   106→    }\n   107→\n   108→    const stats = pageMap[event.page];\n   109→    switch (event.event_type) {\n   110→      case 'page_view':\n   111→        stats.views++;\n   112→        break;\n   113→      case 'flow_complete':\n   114→        stats.completions++;\n   115→        break;\n   116→      case 'flow_abandon':\n   117→        stats.abandons++;\n   118→        break;\n   119→      case 'rage_click':\n   120→        stats.rage_clicks++;\n   121→        break;\n   122→      case 'error':\n   123→        stats.errors++;\n   124→        break;\n   125→    }\n   126→\n   127→    if (event.duration_ms) {\n   128→      stats.total_duration += event.duration_ms;\n   129→      stats.duration_count++;\n   130→    }\n   131→  }\n   132→\n   133→  // Calculate rates and sort by views\n   134→  return Object.values(pageMap)\n   135→    .map(stats => ({\n   136→      ...stats,\n   137→      avg_duration_ms: stats.duration_count > 0\n   138→        ? Math.round(stats.total_duration / stats.duration_count)\n   139→        : null,\n   140→      abandonment_rate: stats.views > 0\n   141→        ? Math.round((stats.abandons / stats.views) * 100)\n   142→        : 0,\n   143→      completion_rate: stats.views > 0\n   144→        ? Math.round((stats.completions / stats.views) * 100)\n   145→        : 0\n   146→    }))\n   147→    .sort((a, b) => b.views - a.views);\n   148→}\n   149→\n   150→/**\n   151→ * Get flow-level statistics (key user journeys)\n   152→ */\n   153→async function getFlowStats(startDate, endDate) {\n   154→  const { data, error } = await db\n   155→    .from('usage_events')\n   156→    .select('event_type, event_name, page, context, duration_ms')\n   157→    .gte('created_at', startDate.toISOString())\n   158→    .lte('created_at', endDate.toISOString())\n   159→    .in('event_type', ['flow_complete', 'flow_abandon']);\n   160→\n   161→  if (error) {\n   162→    console.error('Error getting flow stats:', error);\n   163→    return [];\n   164→  }\n   165→\n   166→  // Group by flow name\n   167→  const flowMap = {};\n   168→  for (const event of data || []) {\n   169→    const flowName = event.event_name.replace('_complete', '').replace('_abandon', '');\n   170→\n   171→    if (!flowMap[flowName]) {\n   172→      flowMap[flowName] = {\n   173→        name: flowName,\n   174→        completions: 0,\n   175→        abandons: 0,\n   176→        total_duration: 0,\n   177→        duration_count: 0,\n   178→        abandon_steps: {}\n   179→      };\n   180→    }\n   181→\n   182→    const flow = flowMap[flowName];\n   183→    if (event.event_type === 'flow_complete') {\n   184→      flow.completions++;\n   185→    } else {\n   186→      flow.abandons++;\n   187→      const step = event.context?.abandoned_at_step || 'unknown';\n   188→      flow.abandon_steps[step] = (flow.abandon_steps[step] || 0) + 1;\n   189→    }\n   190→\n   191→    if (event.duration_ms) {\n   192→      flow.total_duration += event.duration_ms;\n   193→      flow.duration_count++;\n   194→    }\n   195→  }\n   196→\n   197→  return Object.values(flowMap)\n   198→    .map(flow => ({\n   199→      ...flow,\n   200→      avg_duration_ms: flow.duration_count > 0\n   201→        ? Math.round(flow.total_duration / flow.duration_count)\n   202→        : null,\n   203→      completion_rate: (flow.completions + flow.abandons) > 0\n   204→        ? Math.round((flow.completions / (flow.completions + flow.abandons)) * 100)\n   205→        : 0,\n   206→      top_abandon_step: Object.entries(flow.abandon_steps)\n   207→        .sort((a, b) => b[1] - a[1])[0]?.[0] || null\n   208→    }))\n   209→    .sort((a, b) => (b.completions + b.abandons) - (a.completions + a.abandons));\n   210→}\n   211→\n   212→/**\n   213→ * Get error statistics\n   214→ */\n   215→async function getErrorStats(startDate, endDate) {\n   216→  const { data, error } = await db\n   217→    .from('usage_events')\n   218→    .select('page, event_name, context')\n   219→    .gte('created_at', startDate.toISOString())\n   220→    .lte('created_at', endDate.toISOString())\n   221→    .eq('event_type', 'error');\n   222→\n   223→  if (error) {\n   224→    console.error('Error getting error stats:', error);\n   225→    return [];\n   226→  }\n   227→\n   228→  // Group by error type and page\n   229→  const errorMap = {};\n   230→  for (const event of data || []) {\n   231→    const key = `${event.page || 'unknown'}_${event.event_name}`;\n   232→    if (!errorMap[key]) {\n   233→      errorMap[key] = {\n   234→        page: event.page || 'unknown',\n   235→        error_type: event.event_name,\n   236→        count: 0,\n   237→        sample_messages: []\n   238→      };\n   239→    }\n   240→\n   241→    errorMap[key].count++;\n   242→    if (errorMap[key].sample_messages.length < 3 && event.context?.error_message) {\n   243→      errorMap[key].sample_messages.push(event.context.error_message);\n   244→    }\n   245→  }\n   246→\n   247→  return Object.values(errorMap)\n   248→    .sort((a, b) => b.count - a.count)\n   249→    .slice(0, 10); // Top 10 errors\n   250→}\n   251→\n   252→/**\n   253→ * Get AI feature quality stats (from suggestion_feedback table)\n   254→ */\n   255→async function getAIQualityStats(startDate, endDate) {\n   256→  // Try to get AI suggestion feedback\n   257→  const { data: feedback, error: feedbackError } = await db\n   258→    .from('suggestion_feedback')\n   259→    .select('feature, feedback')\n   260→    .gte('created_at', startDate.toISOString())\n   261→    .lte('created_at', endDate.toISOString());\n   262→\n   263→  if (feedbackError) {\n   264→    console.log('No suggestion_feedback table or error:', feedbackError.message);\n   265→    return { total: 0, positive: 0, features: {} };\n   266→  }\n   267→\n   268→  // Aggregate by feature\n   269→  const featureMap = {};\n   270→  let totalPositive = 0;\n   271→  let total = 0;\n   272→\n   273→  for (const fb of feedback || []) {\n   274→    if (!featureMap[fb.feature]) {\n   275→      featureMap[fb.feature] = { positive: 0, negative: 0 };\n   276→    }\n   277→\n   278→    if (fb.feedback === 'positive') {\n   279→      featureMap[fb.feature].positive++;\n   280→      totalPositive++;\n   281→    } else {\n   282→      featureMap[fb.feature].negative++;\n   283→    }\n   284→    total++;\n   285→  }\n   286→\n   287→  return {\n   288→    total,\n   289→    positive: totalPositive,\n   290→    acceptance_rate: total > 0 ? Math.round((totalPositive / total) * 100) : null,\n   291→    features: featureMap\n   292→  };\n   293→}\n   294→\n   295→/**\n   296→ * Use AI to analyze the data and generate insights\n   297→ */\n   298→async function analyzeWithAI(data) {\n   299→  const { pageStats, flowStats, errorStats, aiStats } = data;\n   300→\n   301→  // Skip AI if no data\n   302→  if (pageStats.length === 0 && flowStats.length === 0) {\n   303→    return {\n   304→      friction_points: [],\n   305→      quick_wins: [],\n   306→      patterns: [],\n   307→      unused_features: [],\n   308→      summary: 'Not enough data to analyze. Need more usage events.'\n   309→    };\n   310→  }\n   311→\n   312→  const prompt = `You are analyzing usage data for a sales CRM application. Identify friction points, quick wins, and patterns.\n   313→\n   314→PAGE STATISTICS (Last 7 days):\n   315→${JSON.stringify(pageStats.slice(0, 10), null, 2)}\n   316→\n   317→FLOW STATISTICS:\n   318→${JSON.stringify(flowStats.slice(0, 10), null, 2)}\n   319→\n   320→ERROR STATISTICS:\n   321→${JSON.stringify(errorStats, null, 2)}\n   322→\n   323→AI QUALITY:\n   324→${JSON.stringify(aiStats, null, 2)}\n   325→\n   326→Based on this data, provide a JSON response with:\n   327→1. friction_points: Array of { location, issue, evidence, severity (1-100), suggested_fix, effort (low/medium/high) }\n   328→2. quick_wins: Array of { title, description, impact, effort (low/medium/high), priority_score (1-100) }\n   329→3. patterns: Array of { pattern, evidence, actionable_insight }\n   330→4. unused_features: Array of { feature, current_usage, recommendation (promote/simplify/remove/investigate) }\n   331→5. summary: 2-3 sentence executive summary\n   332→\n   333→Focus on:\n   334→- High abandonment rates (>30% is concerning)\n   335→- Rage clicks indicate frustration\n   336→- Errors affecting many users\n   337→- Declining AI acceptance rates\n   338→- Quick wins = high impact + low effort\n   339→\n   340→Respond with ONLY valid JSON, no markdown.`;\n   341→\n   342→  try {\n   343→    const response = await openai.chat.completions.create({\n   344→      model: 'gpt-4o',\n   345→      messages: [{ role: 'user', content: prompt }],\n   346→      temperature: 0.3,\n   347→      response_format: { type: 'json_object' }\n   348→    });\n   349→\n   350→    const analysis = JSON.parse(response.choices[0].message.content);\n   351→    return analysis;\n   352→  } catch (error) {\n   353→    console.error('AI analysis failed:', error);\n   354→    return {\n   355→      friction_points: [],\n   356→      quick_wins: [],\n   357→      patterns: [],\n   358→      unused_features: [],\n   359→      summary: 'AI analysis failed. Manual review recommended.'\n   360→    };\n   361→  }\n   362→}\n   363→\n   364→/**\n   365→ * Store the weekly report in the database\n   366→ */\n   367→async function storeWeeklyReport(data) {\n   368→  const { weekStart, weekEnd, pageStats, flowStats, errorStats, aiStats, analysis } = data;\n   369→\n   370→  // Calculate overall scores\n   371→  const avgAbandonRate = pageStats.length > 0\n   372→    ? pageStats.reduce((sum, p) => sum + p.abandonment_rate, 0) / pageStats.length\n   373→    : 0;\n   374→\n   375→  const frictionScore = Math.max(0, 100 - avgAbandonRate - (errorStats.length * 5));\n   376→  const healthScore = Math.round(\n   377→    (frictionScore * 0.4) +\n   378→    ((aiStats.acceptance_rate || 70) * 0.3) +\n   379→    (70 * 0.3) // Base score\n   380→  );\n   381→\n   382→  const reportData = {\n   383→    week_start: weekStart.toISOString().split('T')[0],\n   384→    week_end: weekEnd.toISOString().split('T')[0],\n   385→    friction_points: analysis.friction_points || [],\n   386→    quick_wins: analysis.quick_wins || [],\n   387→    patterns_detected: analysis.patterns || [],\n   388→    unused_features: analysis.unused_features || [],\n   389→    ai_quality: aiStats,\n   390→    overall_health_score: healthScore,\n   391→    friction_score: frictionScore,\n   392→    improvement_opportunities: (analysis.quick_wins?.length || 0) + (analysis.friction_points?.length || 0),\n   393→    full_report_json: {\n   394→      pageStats,\n   395→      flowStats,\n   396→      errorStats,\n   397→      aiStats,\n   398→      analysis\n   399→    }\n   400→  };\n   401→\n   402→  const { data: report, error } = await db\n   403→    .from('weekly_excellence_reports')\n   404→    .upsert(reportData, { onConflict: 'week_start' })\n   405→    .select()\n   406→    .single();\n   407→\n   408→  if (error) {\n   409→    console.error('Error storing weekly report:', error);\n   410→    throw error;\n   411→  }\n   412→\n   413→  return report;\n   414→}\n   415→\n   416→/**\n   417→ * Create suggestions from the AI analysis\n   418→ */\n   419→async function createSuggestionsFromAnalysis(analysis, reportId) {\n   420→  const suggestions = [];\n   421→\n   422→  // Create suggestions from quick wins\n   423→  for (const win of (analysis.quick_wins || [])) {\n   424→    suggestions.push({\n   425→      suggestion_type: 'quick_win',\n   426→      title: win.title,\n   427→      description: win.description,\n   428→      evidence: { impact: win.impact },\n   429→      predicted_impact: win.impact,\n   430→      predicted_effort: win.effort,\n   431→      priority_score: win.priority_score || 50,\n   432→      source: 'weekly_review',\n   433→      source_report_id: reportId,\n   434→      status: 'suggested'\n   435→    });\n   436→  }\n   437→\n   438→  // Create suggestions from friction points\n   439→  for (const friction of (analysis.friction_points || [])) {\n   440→    suggestions.push({\n   441→      suggestion_type: 'friction_fix',\n   442→      title: `Fix friction: ${friction.location}`,\n   443→      description: `${friction.issue}\\n\\nSuggested fix: ${friction.suggested_fix}`,\n   444→      evidence: { evidence: friction.evidence, severity: friction.severity },\n   445→      predicted_impact: `Reduce friction at ${friction.location}`,\n   446→      predicted_effort: friction.effort,\n   447→      priority_score: friction.severity || 50,\n   448→      source: 'weekly_review',\n   449→      source_report_id: reportId,\n   450→      status: 'suggested'\n   451→    });\n   452→\n   453→    // Also store as detected friction\n   454→    await db.from('detected_friction').insert({\n   455→      detection_date: new Date().toISOString().split('T')[0],\n   456→      friction_type: 'ai_detected',\n   457→      location: friction.location,\n   458→      severity_score: friction.severity || 50,\n   459→      evidence: { issue: friction.issue, evidence: friction.evidence },\n   460→      root_cause_hypothesis: friction.issue,\n   461→      suggested_fix: friction.suggested_fix,\n   462→      estimated_effort: friction.effort,\n   463→      status: 'detected'\n   464→    });\n   465→  }\n   466→\n   467→  if (suggestions.length > 0) {\n   468→    const { error } = await db\n   469→      .from('intelligence_suggestions')\n   470→      .insert(suggestions);\n   471→\n   472→    if (error) {\n   473→      console.error('Error creating suggestions:', error);\n   474→    } else {\n   475→      console.log(`Created ${suggestions.length} suggestions from analysis`);\n   476→    }\n   477→  }\n   478→}\n   479→\n   480→/**\n   481→ * Get the latest weekly report\n   482→ */\n   483→async function getLatestReport() {\n   484→  const { data, error } = await db\n   485→    .from('weekly_excellence_reports')\n   486→    .select('*')\n   487→    .order('week_start', { ascending: false })\n   488→    .limit(1)\n   489→    .single();\n   490→\n   491→  if (error) {\n   492→    console.error('Error getting latest report:', error);\n   493→    return null;\n   494→  }\n   495→\n   496→  return data;\n   497→}\n   498→\n   499→module.exports = {\n   500→  runWeeklyAnalysis,\n   501→  getLatestReport,\n   502→  getPageStats,\n   503→  getFlowStats,\n   504→  getErrorStats,\n   505→  getAIQualityStats\n   506→};\n   507→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"444b80d5-a9f8-416c-b336-240974a568ad","timestamp":"2026-02-07T05:52:39.426Z","sourceToolAssistantUUID":"36b631ce-b471-420b-bd00-685a277da627"}
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{"parentUuid":"78bbbe34-7638-449b-ae03-a5bf03321d5e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NneVdU3do1eSNHTYKwcKcS","type":"tool_result","content":"     1→/**\n     2→ * Twilio Media Streams → Deepgram Transcription\n     3→ *\n     4→ * This handles audio from BOTH sides of a Twilio call:\n     5→ * - Inbound track: What the other person says (customer)\n     6→ * - Outbound track: What you say (agent)\n     7→ *\n     8→ * Twilio sends: mulaw audio, 8kHz, base64 encoded\n     9→ * Deepgram needs: mulaw audio, 8kHz (can handle it directly!)\n    10→ */\n    11→\n    12→const WebSocket = require('ws');\n    13→const { supabase } = require('../config/database');\n    14→\n    15→// Store active streams: callSid -> { deepgramWs, transcripts, startTime, etc }\n    16→const activeStreams = new Map();\n    17→\n    18→/**\n    19→ * Get Deepgram config for Twilio mulaw audio\n    20→ */\n    21→function getDeepgramConfigForTwilio() {\n    22→  const params = new URLSearchParams({\n    23→    model: 'nova-2',\n    24→    language: 'en-AU',\n    25→    encoding: 'mulaw',        // Twilio sends mulaw\n    26→    sample_rate: '8000',      // Twilio uses 8kHz\n    27→    channels: '2',            // Stereo: inbound + outbound\n    28→    multichannel: 'true',     // Transcribe each channel separately\n    29→    smart_format: 'true',\n    30→    interim_results: 'true',\n    31→    punctuate: 'true',\n    32→    diarize: 'false',         // We already know who's speaking from channels\n    33→    endpointing: '300',\n    34→  });\n    35→\n    36→  return {\n    37→    url: `wss://api.deepgram.com/v1/listen?${params.toString()}`,\n    38→    apiKey: process.env.DEEPGRAM_API_KEY,\n    39→  };\n    40→}\n    41→\n    42→/**\n    43→ * Handle incoming Twilio Media Stream WebSocket connection\n    44→ */\n    45→function handleTwilioMediaStream(ws, req) {\n    46→  console.log('[TwilioMedia] New connection');\n    47→\n    48→  let callSid = null;\n    49→  let streamSid = null;\n    50→  let deepgramWs = null;\n    51→  let inboundBuffer = [];\n    52→  let outboundBuffer = [];\n    53→  let sequenceNumbers = { inbound: -1, outbound: -1 };\n    54→\n    55→  ws.on('message', async (message) => {\n    56→    try {\n    57→      const msg = JSON.parse(message);\n    58→\n    59→      switch (msg.event) {\n    60→        case 'connected':\n    61→          console.log('[TwilioMedia] Connected:', msg.protocol);\n    62→          break;\n    63→\n    64→        case 'start':\n    65→          // Stream started - contains metadata\n    66→          callSid = msg.start.callSid;\n    67→          streamSid = msg.start.streamSid;\n    68→          const customParams = msg.start.customParameters || {};\n    69→\n    70→          console.log('[TwilioMedia] Stream started:', {\n    71→            callSid,\n    72→            streamSid,\n    73→            tracks: msg.start.tracks,\n    74→            mediaFormat: msg.start.mediaFormat,\n    75→            customParams\n    76→          });\n    77→\n    78→          // Connect to Deepgram\n    79→          deepgramWs = await connectToDeepgram(callSid, customParams.leadId);\n    80→\n    81→          // Store stream info with transcript accumulator\n    82→          activeStreams.set(callSid, {\n    83→            deepgramWs,\n    84→            streamSid,\n    85→            twilioWs: ws,\n    86→            leadId: customParams.leadId,\n    87→            transcripts: [], // Accumulate all transcripts\n    88→            startTime: Date.now(),\n    89→          });\n    90→          break;\n    91→\n    92→        case 'media':\n    93→          // Audio data from Twilio\n    94→          if (!deepgramWs || deepgramWs.readyState !== WebSocket.OPEN) {\n    95→            return;\n    96→          }\n    97→\n    98→          const track = msg.media.track; // 'inbound' or 'outbound'\n    99→          const payload = msg.media.payload; // base64 encoded mulaw audio\n   100→          const timestamp = parseInt(msg.media.timestamp);\n   101→          const sequence = parseInt(msg.media.chunk);\n   102→\n   103→          // Decode base64 to buffer\n   104→          const audioBuffer = Buffer.from(payload, 'base64');\n   105→\n   106→          // For stereo mixing, we need to interleave inbound and outbound\n   107→          // Each sample is 1 byte (mulaw is 8-bit)\n   108→          if (track === 'inbound') {\n   109→            inboundBuffer.push({ audio: audioBuffer, seq: sequence, ts: timestamp });\n   110→          } else if (track === 'outbound') {\n   111→            outboundBuffer.push({ audio: audioBuffer, seq: sequence, ts: timestamp });\n   112→          }\n   113→\n   114→          // Mix and send when we have data from both tracks\n   115→          // (or after timeout if one track is silent)\n   116→          mixAndSendAudio(deepgramWs, inboundBuffer, outboundBuffer);\n   117→          break;\n   118→\n   119→        case 'stop':\n   120→          console.log('[TwilioMedia] Stream stopped:', {\n   121→            callSid,\n   122→            reason: msg.stop?.reason\n   123→          });\n   124→\n   125→          // Save transcript before cleanup\n   126→          await saveCallTranscript(callSid);\n   127→\n   128→          // Close Deepgram connection\n   129→          if (deepgramWs && deepgramWs.readyState === WebSocket.OPEN) {\n   130→            deepgramWs.close();\n   131→          }\n   132→          activeStreams.delete(callSid);\n   133→          break;\n   134→\n   135→        case 'mark':\n   136→          // Acknowledgment that audio was played (bidirectional only)\n   137→          console.log('[TwilioMedia] Mark:', msg.mark?.name);\n   138→          break;\n   139→\n   140→        default:\n   141→          console.log('[TwilioMedia] Unknown event:', msg.event);\n   142→      }\n   143→    } catch (error) {\n   144→      console.error('[TwilioMedia] Error processing message:', error);\n   145→    }\n   146→  });\n   147→\n   148→  ws.on('close', async () => {\n   149→    console.log('[TwilioMedia] Connection closed');\n   150→\n   151→    // Save transcript if not already saved\n   152→    if (callSid && activeStreams.has(callSid)) {\n   153→      await saveCallTranscript(callSid);\n   154→      activeStreams.delete(callSid);\n   155→    }\n   156→\n   157→    if (deepgramWs && deepgramWs.readyState === WebSocket.OPEN) {\n   158→      deepgramWs.close();\n   159→    }\n   160→  });\n   161→\n   162→  ws.on('error', (error) => {\n   163→    console.error('[TwilioMedia] WebSocket error:', error);\n   164→  });\n   165→}\n   166→\n   167→/**\n   168→ * Connect to Deepgram for transcription\n   169→ */\n   170→async function connectToDeepgram(callSid, leadId) {\n   171→  return new Promise((resolve, reject) => {\n   172→    const config = getDeepgramConfigForTwilio();\n   173→\n   174→    console.log('[TwilioMedia] Connecting to Deepgram:', config.url);\n   175→\n   176→    const ws = new WebSocket(config.url, {\n   177→      headers: {\n   178→        'Authorization': `Token ${config.apiKey}`,\n   179→      },\n   180→    });\n   181→\n   182→    ws.on('open', () => {\n   183→      console.log('[TwilioMedia] Deepgram connected for call:', callSid);\n   184→      resolve(ws);\n   185→    });\n   186→\n   187→    ws.on('message', (data) => {\n   188→      try {\n   189→        const response = JSON.parse(data);\n   190→\n   191→        if (response.type === 'Results') {\n   192→          const channelIndex = response.channel_index?.[0] || 0;\n   193→          const transcript = response.channel?.alternatives?.[0]?.transcript || '';\n   194→          const isFinal = response.is_final;\n   195→          const speaker = channelIndex === 0 ? 'customer' : 'agent';\n   196→\n   197→          if (transcript) {\n   198→            console.log(`[TwilioMedia] [${speaker}] ${isFinal ? '✓' : '...'} ${transcript}`);\n   199→\n   200→            // Broadcast to connected clients\n   201→            broadcastTranscript(callSid, {\n   202→              speaker,\n   203→              transcript,\n   204→              isFinal,\n   205→              timestamp: response.start,\n   206→              duration: response.duration,\n   207→              leadId,\n   208→            });\n   209→          }\n   210→        } else if (response.type === 'SpeechStarted') {\n   211→          const channelIndex = response.channel?.[0] || 0;\n   212→          const speaker = channelIndex === 0 ? 'customer' : 'agent';\n   213→          console.log(`[TwilioMedia] Speech started: ${speaker}`);\n   214→        }\n   215→      } catch (error) {\n   216→        console.error('[TwilioMedia] Error parsing Deepgram message:', error);\n   217→      }\n   218→    });\n   219→\n   220→    ws.on('close', (code, reason) => {\n   221→      console.log('[TwilioMedia] Deepgram closed:', code, reason?.toString());\n   222→    });\n   223→\n   224→    ws.on('error', (error) => {\n   225→      console.error('[TwilioMedia] Deepgram error:', error);\n   226→      reject(error);\n   227→    });\n   228→  });\n   229→}\n   230→\n   231→/**\n   232→ * Mix inbound and outbound audio into stereo and send to Deepgram\n   233→ * Channel 0 = inbound (customer), Channel 1 = outbound (agent)\n   234→ */\n   235→function mixAndSendAudio(deepgramWs, inboundBuffer, outboundBuffer) {\n   236→  // Process when we have at least one chunk from each (or buffer gets too big)\n   237→  while (inboundBuffer.length > 0 && outboundBuffer.length > 0) {\n   238→    const inbound = inboundBuffer.shift();\n   239→    const outbound = outboundBuffer.shift();\n   240→\n   241→    // Interleave: for each sample position, alternate inbound/outbound\n   242→    // mulaw is 8-bit, so each sample is 1 byte\n   243→    const inLen = inbound.audio.length;\n   244→    const outLen = outbound.audio.length;\n   245→    const maxLen = Math.max(inLen, outLen);\n   246→\n   247→    // Create stereo buffer (2 bytes per sample position: L + R)\n   248→    const stereoBuffer = Buffer.alloc(maxLen * 2);\n   249→\n   250→    for (let i = 0; i < maxLen; i++) {\n   251→      // Channel 0 (left) = inbound (customer)\n   252→      stereoBuffer[i * 2] = i < inLen ? inbound.audio[i] : 0x7F; // 0x7F = mulaw silence\n   253→      // Channel 1 (right) = outbound (agent)\n   254→      stereoBuffer[i * 2 + 1] = i < outLen ? outbound.audio[i] : 0x7F;\n   255→    }\n   256→\n   257→    if (deepgramWs.readyState === WebSocket.OPEN) {\n   258→      deepgramWs.send(stereoBuffer);\n   259→    }\n   260→  }\n   261→\n   262→  // Handle case where only one side is talking (flush old buffers)\n   263→  const MAX_BUFFER = 10;\n   264→  while (inboundBuffer.length > MAX_BUFFER) {\n   265→    const inbound = inboundBuffer.shift();\n   266→    // Send as mono on channel 0\n   267→    if (deepgramWs.readyState === WebSocket.OPEN) {\n   268→      const stereoBuffer = Buffer.alloc(inbound.audio.length * 2);\n   269→      for (let i = 0; i < inbound.audio.length; i++) {\n   270→        stereoBuffer[i * 2] = inbound.audio[i];\n   271→        stereoBuffer[i * 2 + 1] = 0x7F; // silence on outbound channel\n   272→      }\n   273→      deepgramWs.send(stereoBuffer);\n   274→    }\n   275→  }\n   276→\n   277→  while (outboundBuffer.length > MAX_BUFFER) {\n   278→    const outbound = outboundBuffer.shift();\n   279→    // Send as mono on channel 1\n   280→    if (deepgramWs.readyState === WebSocket.OPEN) {\n   281→      const stereoBuffer = Buffer.alloc(outbound.audio.length * 2);\n   282→      for (let i = 0; i < outbound.audio.length; i++) {\n   283→        stereoBuffer[i * 2] = 0x7F; // silence on inbound channel\n   284→        stereoBuffer[i * 2 + 1] = outbound.audio[i];\n   285→      }\n   286→      deepgramWs.send(stereoBuffer);\n   287→    }\n   288→  }\n   289→}\n   290→\n   291→/**\n   292→ * Broadcast transcript and accumulate for saving\n   293→ */\n   294→function broadcastTranscript(callSid, data) {\n   295→  const stream = activeStreams.get(callSid);\n   296→  if (!stream) return;\n   297→\n   298→  // Accumulate final transcripts for saving\n   299→  if (data.isFinal && data.transcript) {\n   300→    const prefix = data.speaker === 'customer' ? 'Customer: ' : 'Agent: ';\n   301→    stream.transcripts.push(prefix + data.transcript);\n   302→    console.log(`[TwilioMedia] Accumulated: ${prefix}${data.transcript}`);\n   303→  }\n   304→\n   305→  // Emit to any subscribers\n   306→  if (stream.onTranscript) {\n   307→    stream.onTranscript(data);\n   308→  }\n   309→}\n   310→\n   311→/**\n   312→ * Save call transcript to database when stream ends\n   313→ */\n   314→async function saveCallTranscript(callSid) {\n   315→  const stream = activeStreams.get(callSid);\n   316→  if (!stream || !stream.leadId) {\n   317→    console.log('[TwilioMedia] No stream or leadId to save transcript');\n   318→    return;\n   319→  }\n   320→\n   321→  const fullTranscript = stream.transcripts.join('\\n');\n   322→  const duration = Math.round((Date.now() - stream.startTime) / 1000);\n   323→\n   324→  if (fullTranscript.length < 10) {\n   325→    console.log('[TwilioMedia] Transcript too short, not saving:', fullTranscript.length, 'chars');\n   326→    return;\n   327→  }\n   328→\n   329→  console.log(`[TwilioMedia] Saving transcript for lead ${stream.leadId}: ${fullTranscript.length} chars, ${duration}s`);\n   330→\n   331→  try {\n   332→    // Save to copilot_sessions\n   333→    const { error } = await supabase\n   334→      .from('copilot_sessions')\n   335→      .insert({\n   336→        lead_id: stream.leadId,\n   337→        transcript: fullTranscript,\n   338→        duration_seconds: duration,\n   339→      });\n   340→\n   341→    if (error) {\n   342→      console.error('[TwilioMedia] Failed to save transcript:', error.message);\n   343→    } else {\n   344→      console.log('[TwilioMedia] Transcript saved successfully');\n   345→    }\n   346→  } catch (err) {\n   347→    console.error('[TwilioMedia] Error saving transcript:', err.message);\n   348→  }\n   349→}\n   350→\n   351→/**\n   352→ * Subscribe to transcripts for a specific call\n   353→ */\n   354→function subscribeToTranscripts(callSid, callback) {\n   355→  const stream = activeStreams.get(callSid);\n   356→  if (stream) {\n   357→    stream.onTranscript = callback;\n   358→  }\n   359→}\n   360→\n   361→module.exports = {\n   362→  handleTwilioMediaStream,\n   363→  subscribeToTranscripts,\n   364→  activeStreams,\n   365→};\n   366→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e6124133-d4dd-4263-b8ff-13a47182010a","timestamp":"2026-02-07T05:52:39.965Z","sourceToolAssistantUUID":"78bbbe34-7638-449b-ae03-a5bf03321d5e"}
{"parentUuid":"e6124133-d4dd-4263-b8ff-13a47182010a","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01JSKAKSgY1fwqCD84qfLusC","type":"message","role":"assistant","content":[{"type":"text","text":"Let me continue reading the remaining files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":19287,"cache_read_input_tokens":142015,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBsq94GaNXki7Wd2kd6","type":"assistant","uuid":"ef6ed352-f32f-4cb9-8827-500cc814d43a","timestamp":"2026-02-07T05:52:43.271Z"}
{"parentUuid":"ef6ed352-f32f-4cb9-8827-500cc814d43a","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01JSKAKSgY1fwqCD84qfLusC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JcYWywBfTgmUxMww9sHR6H","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/src/services/twilioMediaSetup.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":19287,"cache_read_input_tokens":142015,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBsq94GaNXki7Wd2kd6","type":"assistant","uuid":"8a812b9c-6aa7-44cc-ac87-e4e6858afe7e","timestamp":"2026-02-07T05:52:44.410Z"}
{"parentUuid":"8a812b9c-6aa7-44cc-ac87-e4e6858afe7e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JcYWywBfTgmUxMww9sHR6H","toolUseID":"toolu_01JcYWywBfTgmUxMww9sHR6H","timestamp":"2026-02-07T05:52:44.414Z","uuid":"1f38d291-23a5-42b0-a75b-fbfd3ac79fd3"}
{"parentUuid":"8a812b9c-6aa7-44cc-ac87-e4e6858afe7e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JcYWywBfTgmUxMww9sHR6H","type":"tool_result","content":"     1→/**\n     2→ * Setup Twilio Media Stream WebSocket endpoint\n     3→ * Call this after creating your HTTP server\n     4→ */\n     5→\n     6→const WebSocket = require('ws');\n     7→const { handleTwilioMediaStream } = require('./twilioMedia');\n     8→\n     9→function setupTwilioMediaStreams(server) {\n    10→  // Create WebSocket server for Twilio Media Streams\n    11→  // Using same pattern as Deepgram proxy (server + path) for consistency\n    12→  const wss = new WebSocket.Server({\n    13→    server,\n    14→    path: '/api/twilio-media',\n    15→  });\n    16→\n    17→  // Handle new Twilio Media Stream connections\n    18→  wss.on('connection', (ws, request) => {\n    19→    console.log('[TwilioMedia] New WebSocket connection from Twilio');\n    20→    console.log('[TwilioMedia] Request URL:', request.url);\n    21→    console.log('[TwilioMedia] Headers:', JSON.stringify(request.headers, null, 2));\n    22→    handleTwilioMediaStream(ws, request);\n    23→  });\n    24→\n    25→  wss.on('error', (error) => {\n    26→    console.error('[TwilioMedia] WebSocket server error:', error);\n    27→  });\n    28→\n    29→  console.log('[TwilioMedia] WebSocket endpoint ready: /api/twilio-media');\n    30→\n    31→  return wss;\n    32→}\n    33→\n    34→module.exports = { setupTwilioMediaStreams };\n    35→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"7bb39d9f-13fa-4306-a10d-7ae6114ba1d9","timestamp":"2026-02-07T05:52:44.414Z","sourceToolAssistantUUID":"8a812b9c-6aa7-44cc-ac87-e4e6858afe7e"}
{"parentUuid":"7bb39d9f-13fa-4306-a10d-7ae6114ba1d9","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01JSKAKSgY1fwqCD84qfLusC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0144HkrMGi7MXDn2AHPrAtLL","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/src/services/templates.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":19287,"cache_read_input_tokens":142015,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBsq94GaNXki7Wd2kd6","type":"assistant","uuid":"d8bd8320-7a91-49b7-9541-2539fb22a048","timestamp":"2026-02-07T05:52:44.885Z"}
{"parentUuid":"d8bd8320-7a91-49b7-9541-2539fb22a048","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0144HkrMGi7MXDn2AHPrAtLL","toolUseID":"toolu_0144HkrMGi7MXDn2AHPrAtLL","timestamp":"2026-02-07T05:52:44.888Z","uuid":"04e62e9f-5b71-4abd-a8fc-ac05f8008134"}
{"parentUuid":"d8bd8320-7a91-49b7-9541-2539fb22a048","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0144HkrMGi7MXDn2AHPrAtLL","type":"tool_result","content":"     1→/**\n     2→ * SMS Template service\n     3→ * Handles template retrieval and variable substitution\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→/**\n     9→ * Get a template by slug\n    10→ * @param {string} slug - Template slug\n    11→ * @returns {Promise<object|null>}\n    12→ */\n    13→async function getTemplate(slug) {\n    14→  if (!supabase) return null;\n    15→\n    16→  const { data, error } = await supabase\n    17→    .from('sms_templates')\n    18→    .select('*')\n    19→    .eq('slug', slug)\n    20→    .eq('is_active', true)\n    21→    .single();\n    22→\n    23→  if (error) {\n    24→    console.error('Template fetch error:', error.message);\n    25→    return null;\n    26→  }\n    27→\n    28→  return data;\n    29→}\n    30→\n    31→/**\n    32→ * Get all active templates\n    33→ * @returns {Promise<Array>}\n    34→ */\n    35→async function getAllTemplates() {\n    36→  if (!supabase) return [];\n    37→\n    38→  const { data, error } = await supabase\n    39→    .from('sms_templates')\n    40→    .select('*')\n    41→    .eq('is_active', true)\n    42→    .order('name');\n    43→\n    44→  if (error) {\n    45→    console.error('Templates fetch error:', error.message);\n    46→    return [];\n    47→  }\n    48→\n    49→  return data || [];\n    50→}\n    51→\n    52→/**\n    53→ * Render a template with variables\n    54→ * @param {string} content - Template content with {{variables}}\n    55→ * @param {object} variables - Variable values\n    56→ * @returns {string} Rendered content\n    57→ */\n    58→function renderTemplate(content, variables = {}) {\n    59→  if (!content) return '';\n    60→\n    61→  let rendered = content;\n    62→\n    63→  for (const [key, value] of Object.entries(variables)) {\n    64→    const regex = new RegExp(`{{\\\\s*${key}\\\\s*}}`, 'g');\n    65→    rendered = rendered.replace(regex, value || '');\n    66→  }\n    67→\n    68→  // Remove any remaining unmatched variables\n    69→  rendered = rendered.replace(/{{\\s*\\w+\\s*}}/g, '');\n    70→\n    71→  return rendered.trim();\n    72→}\n    73→\n    74→/**\n    75→ * Build variables from a lead object\n    76→ * @param {object} lead - Lead record\n    77→ * @returns {object} Variables for template rendering\n    78→ */\n    79→function buildLeadVariables(lead) {\n    80→  if (!lead) return {};\n    81→\n    82→  return {\n    83→    first_name: lead.first_name || '',\n    84→    last_name: lead.last_name || '',\n    85→    full_name: `${lead.first_name || ''} ${lead.last_name || ''}`.trim(),\n    86→    company: lead.company || '',\n    87→    email: lead.email || '',\n    88→    phone: lead.phone || ''\n    89→  };\n    90→}\n    91→\n    92→module.exports = {\n    93→  getTemplate,\n    94→  getAllTemplates,\n    95→  renderTemplate,\n    96→  buildLeadVariables\n    97→};\n    98→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"6fccc946-390d-4c3a-84f6-e2cc6f0e63fd","timestamp":"2026-02-07T05:52:44.887Z","sourceToolAssistantUUID":"d8bd8320-7a91-49b7-9541-2539fb22a048"}
{"parentUuid":"6fccc946-390d-4c3a-84f6-e2cc6f0e63fd","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01JSKAKSgY1fwqCD84qfLusC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0197kTeipKYHoMFo42HEAFYC","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/src/services/slack.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":19287,"cache_read_input_tokens":142015,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtBsq94GaNXki7Wd2kd6","type":"assistant","uuid":"fcda4a77-8b45-4ae9-b8bc-0c2fa1b76ee7","timestamp":"2026-02-07T05:52:45.284Z"}
{"parentUuid":"fcda4a77-8b45-4ae9-b8bc-0c2fa1b76ee7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0197kTeipKYHoMFo42HEAFYC","toolUseID":"toolu_0197kTeipKYHoMFo42HEAFYC","timestamp":"2026-02-07T05:52:45.583Z","uuid":"2dc27485-102d-4f4c-aa27-830325a89480"}
{"parentUuid":"fcda4a77-8b45-4ae9-b8bc-0c2fa1b76ee7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0197kTeipKYHoMFo42HEAFYC","type":"tool_result","content":"     1→/**\n     2→ * Slack notification service\n     3→ */\n     4→\n     5→const { fetchWithTimeout, isTimeoutError } = require('../utils/fetchWithTimeout');\n     6→\n     7→// Rate limiting to prevent spam (max 1 message per second globally)\n     8→let lastSlackMessageTime = 0;\n     9→const MIN_SLACK_INTERVAL_MS = 1000;\n    10→let slackRateLimitWarningLogged = false;\n    11→\n    12→/**\n    13→ * Send a message to Slack webhook\n    14→ * @param {object} payload - Slack message payload\n    15→ * @returns {Promise<{success: boolean, error?: string}>}\n    16→ */\n    17→async function sendSlackMessage(payload) {\n    18→  const webhookUrl = process.env.SLACK_WEBHOOK_URL;\n    19→\n    20→  if (!webhookUrl) {\n    21→    console.warn('Slack not configured - missing SLACK_WEBHOOK_URL');\n    22→    return { success: false, error: 'Slack not configured' };\n    23→  }\n    24→\n    25→  // Rate limit check - prevent spam\n    26→  const now = Date.now();\n    27→  if (now - lastSlackMessageTime < MIN_SLACK_INTERVAL_MS) {\n    28→    if (!slackRateLimitWarningLogged) {\n    29→      console.warn('[Slack] Rate limited - too many messages. Suppressing for 1s.');\n    30→      slackRateLimitWarningLogged = true;\n    31→      setTimeout(() => { slackRateLimitWarningLogged = false; }, 5000);\n    32→    }\n    33→    return { success: false, error: 'Rate limited' };\n    34→  }\n    35→  lastSlackMessageTime = now;\n    36→\n    37→  try {\n    38→    const response = await fetchWithTimeout(webhookUrl, {\n    39→      method: 'POST',\n    40→      headers: { 'Content-Type': 'application/json' },\n    41→      body: JSON.stringify(payload)\n    42→    }, 10000); // 10 second timeout - Slack should be fast\n    43→\n    44→    if (!response.ok) {\n    45→      throw new Error(`Slack API error: ${response.status}`);\n    46→    }\n    47→\n    48→    return { success: true };\n    49→  } catch (error) {\n    50→    if (isTimeoutError(error)) {\n    51→      console.error('[Slack] Request timed out after 10 seconds');\n    52→      return { success: false, error: 'Request timed out' };\n    53→    }\n    54→    console.error('Failed to send Slack message:', error.message);\n    55→    return { success: false, error: error.message };\n    56→  }\n    57→}\n    58→\n    59→/**\n    60→ * Send inbound SMS alert to Slack\n    61→ * @param {object} lead - Lead object (or null if unknown)\n    62→ * @param {string} message - SMS message body\n    63→ * @param {string} intent - Classified intent\n    64→ * @param {string} phone - Sender phone number\n    65→ * @param {object} buyingSignal - Buying signal detection result {level, score, matchedPattern}\n    66→ * @returns {Promise<{success: boolean, error?: string}>}\n    67→ */\n    68→async function sendInboundAlert(lead, message, intent, phone, buyingSignal = null) {\n    69→  const isHighIntent = buyingSignal?.level === 'high';\n    70→  const isMediumIntent = buyingSignal?.level === 'medium';\n    71→  const hasSignificantIntent = isHighIntent || isMediumIntent;\n    72→\n    73→  // Override colors/emojis for buying signals\n    74→  let emoji, color, headerText;\n    75→\n    76→  if (isHighIntent) {\n    77→    emoji = ':rotating_light:';\n    78→    color = '#dc2626'; // Red - URGENT\n    79→    headerText = `🚨 *HIGH BUYING INTENT!* - RESPOND NOW!`;\n    80→  } else if (isMediumIntent) {\n    81→    emoji = ':fire:';\n    82→    color = '#f97316'; // Orange - Hot\n    83→    headerText = `🔥 *BUYING SIGNAL DETECTED*`;\n    84→  } else if (intent === 'negative') {\n    85→    emoji = ':x:';\n    86→    color = '#dc3545';\n    87→    headerText = ':x: Opt-out Request';\n    88→  } else if (intent === 'positive') {\n    89→    emoji = ':white_check_mark:';\n    90→    color = '#36a64f';\n    91→    headerText = ':white_check_mark: Positive Response';\n    92→  } else if (intent === 'question') {\n    93→    emoji = ':question:';\n    94→    color = '#ffc107';\n    95→    headerText = ':question: Question Received';\n    96→  } else {\n    97→    emoji = ':speech_balloon:';\n    98→    color = '#6c757d';\n    99→    headerText = ':speech_balloon: New Message';\n   100→  }\n   101→\n   102→  const leadName = lead ? `${lead.first_name || ''} ${lead.last_name || ''}`.trim() : 'Unknown Lead';\n   103→  const leadInfo = lead ? `<${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${lead.id}|${leadName}>` : leadName;\n   104→\n   105→  const blocks = [\n   106→    {\n   107→      type: 'section',\n   108→      text: {\n   109→        type: 'mrkdwn',\n   110→        text: headerText\n   111→      }\n   112→    },\n   113→    {\n   114→      type: 'section',\n   115→      fields: [\n   116→        {\n   117→          type: 'mrkdwn',\n   118→          text: `*From:*\\n${leadInfo}\\n${phone}`\n   119→        },\n   120→        {\n   121→          type: 'mrkdwn',\n   122→          text: `*Intent:*\\n${intent.toUpperCase()}${hasSignificantIntent ? ` (${buyingSignal.level.toUpperCase()} INTENT)` : ''}`\n   123→        }\n   124→      ]\n   125→    },\n   126→    {\n   127→      type: 'section',\n   128→      text: {\n   129→        type: 'mrkdwn',\n   130→        text: `*Message:*\\n>${message}`\n   131→      }\n   132→    }\n   133→  ];\n   134→\n   135→  // Add buying signal details for high/medium intent\n   136→  if (hasSignificantIntent && buyingSignal.matchedPattern) {\n   137→    blocks.push({\n   138→      type: 'context',\n   139→      elements: [\n   140→        {\n   141→          type: 'mrkdwn',\n   142→          text: `:dart: *Signal detected:* \"${buyingSignal.matchedPattern}\"`\n   143→        }\n   144→      ]\n   145→    });\n   146→  }\n   147→\n   148→  // Add action guidance\n   149→  if (isHighIntent) {\n   150→    blocks.push({\n   151→      type: 'section',\n   152→      text: {\n   153→        type: 'mrkdwn',\n   154→        text: `:warning: *ACTION REQUIRED:* This lead is ready to buy! No auto-reply sent - respond personally IMMEDIATELY.`\n   155→      }\n   156→    });\n   157→  } else if (isMediumIntent) {\n   158→    blocks.push({\n   159→      type: 'context',\n   160→      elements: [\n   161→        {\n   162→          type: 'mrkdwn',\n   163→          text: `:point_right: *No auto-reply sent* - Craft a personal response to close this deal!`\n   164→        }\n   165→      ]\n   166→    });\n   167→  } else if (intent === 'positive' || intent === 'question') {\n   168→    blocks.push({\n   169→      type: 'context',\n   170→      elements: [\n   171→        {\n   172→          type: 'mrkdwn',\n   173→          text: ':phone: *Callback created* - Check the call list'\n   174→        }\n   175→      ]\n   176→    });\n   177→  }\n   178→\n   179→  // Add call button for high intent\n   180→  if (hasSignificantIntent && lead?.id) {\n   181→    blocks.push({\n   182→      type: 'actions',\n   183→      elements: [\n   184→        {\n   185→          type: 'button',\n   186→          text: {\n   187→            type: 'plain_text',\n   188→            text: '📞 CALL NOW',\n   189→            emoji: true\n   190→          },\n   191→          style: 'danger',\n   192→          url: `${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${lead.id}?action=call`\n   193→        },\n   194→        {\n   195→          type: 'button',\n   196→          text: {\n   197→            type: 'plain_text',\n   198→            text: '💬 Reply',\n   199→            emoji: true\n   200→          },\n   201→          url: `${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/messages?lead=${lead.id}`\n   202→        }\n   203→      ]\n   204→    });\n   205→  }\n   206→\n   207→  const payload = {\n   208→    text: `${emoji} ${hasSignificantIntent ? 'BUYING SIGNAL' : 'Inbound SMS'} from ${leadName}`,\n   209→    attachments: [\n   210→      {\n   211→        color,\n   212→        blocks\n   213→      }\n   214→    ]\n   215→  };\n   216→\n   217→  return sendSlackMessage(payload);\n   218→}\n   219→\n   220→/**\n   221→ * Send inbound call alert to Slack\n   222→ * @param {object} lead - Lead object (or null if unknown)\n   223→ * @param {string} phone - Caller phone number (formatted)\n   224→ * @param {string} callerName - Caller name\n   225→ * @param {boolean} isHot - Whether this is a hot lead\n   226→ * @param {boolean} isHighIntent - Whether this lead has called 3+ times\n   227→ * @param {number} callCount - Number of inbound calls from this lead\n   228→ * @returns {Promise<{success: boolean, error?: string}>}\n   229→ */\n   230→async function sendInboundCallAlert(lead, phone, callerName, isHot = false, isHighIntent = false, callCount = 0) {\n   231→  const leadInfo = lead\n   232→    ? `<${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${lead.id}|${callerName}>`\n   233→    : callerName;\n   234→\n   235→  // HIGH INTENT leads get special treatment\n   236→  const isUrgent = isHot || isHighIntent;\n   237→  let headerText = ':telephone_receiver: *Incoming Call*';\n   238→  let headerEmoji = ':telephone_receiver: Incoming Call';\n   239→\n   240→  if (isHighIntent) {\n   241→    headerText = `:rotating_light: *HIGH INTENT - THEY'RE CHASING YOU!*\\n_This lead has called you ${callCount} times_`;\n   242→    headerEmoji = `🚨 HIGH INTENT LEAD CALLING! (Call #${callCount})`;\n   243→  } else if (isHot) {\n   244→    headerText = `:fire: *HOT LEAD CALLING - ANSWER NOW!*`;\n   245→    headerEmoji = ':fire: HOT LEAD CALLING!';\n   246→  }\n   247→\n   248→  const payload = {\n   249→    text: headerEmoji,\n   250→    attachments: [\n   251→      {\n   252→        color: isHighIntent ? '#dc2626' : (isHot ? '#f97316' : '#22c55e'),\n   253→        blocks: [\n   254→          {\n   255→            type: 'section',\n   256→            text: {\n   257→              type: 'mrkdwn',\n   258→              text: headerText\n   259→            }\n   260→          },\n   261→          {\n   262→            type: 'section',\n   263→            fields: [\n   264→              {\n   265→                type: 'mrkdwn',\n   266→                text: `*From:*\\n${leadInfo}`\n   267→              },\n   268→              {\n   269→                type: 'mrkdwn',\n   270→                text: `*Phone:*\\n${phone}`\n   271→              }\n   272→            ]\n   273→          },\n   274→          {\n   275→            type: 'context',\n   276→            elements: [\n   277→              {\n   278→                type: 'mrkdwn',\n   279→                text: isHighIntent\n   280→                  ? `:chart_with_upwards_trend: *HIGH INTENT* - Called ${callCount}x (+${callCount * 20} points) - Close this lead!`\n   281→                  : (isHot\n   282→                    ? ':fire: *HOT LEAD* (score 80+) - Ring extended to 60s'\n   283→                    : (lead ? `:white_check_mark: Known lead${callCount > 0 ? ` (Call #${callCount} - +20 points)` : ''}` : ':grey_question: Unknown caller'))\n   284→              }\n   285→            ]\n   286→          }\n   287→        ]\n   288→      }\n   289→    ]\n   290→  };\n   291→\n   292→  // Add AI insight for high intent leads\n   293→  if (isHighIntent) {\n   294→    payload.attachments[0].blocks.push({\n   295→      type: 'section',\n   296→      text: {\n   297→        type: 'mrkdwn',\n   298→        text: ':robot_face: *AI Insight:* _They\\'re chasing YOU. This is extremely high intent. Close this deal._'\n   299→      }\n   300→    });\n   301→  }\n   302→\n   303→  return sendSlackMessage(payload);\n   304→}\n   305→\n   306→/**\n   307→ * Send missed call alert to Slack\n   308→ * @param {string} leadId - Lead ID (or null)\n   309→ * @param {string} phone - Caller phone\n   310→ * @param {boolean} isHot - Whether this was a hot lead\n   311→ * @returns {Promise<{success: boolean, error?: string}>}\n   312→ */\n   313→async function sendMissedCallAlert(leadId, phone, isHot) {\n   314→  const leadLink = leadId\n   315→    ? `<${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${leadId}|View Lead>`\n   316→    : null;\n   317→\n   318→  const payload = {\n   319→    text: isHot ? ':rotating_light: MISSED HOT LEAD CALL!' : ':phone: Missed Call',\n   320→    attachments: [\n   321→      {\n   322→        color: isHot ? '#dc2626' : '#eab308',\n   323→        blocks: [\n   324→          {\n   325→            type: 'section',\n   326→            text: {\n   327→              type: 'mrkdwn',\n   328→              text: isHot\n   329→                ? `:rotating_light: *MISSED CALL FROM HOT LEAD!*\\nAuto-SMS sent. Call back IMMEDIATELY!`\n   330→                : `:phone: *Missed Inbound Call*\\nCallback created.`\n   331→            }\n   332→          },\n   333→          {\n   334→            type: 'section',\n   335→            fields: [\n   336→              {\n   337→                type: 'mrkdwn',\n   338→                text: `*Phone:*\\n${phone}`\n   339→              },\n   340→              {\n   341→                type: 'mrkdwn',\n   342→                text: `*Priority:*\\n${isHot ? ':fire: URGENT' : 'High'}`\n   343→              }\n   344→            ]\n   345→          },\n   346→          ...(leadLink ? [{\n   347→            type: 'actions',\n   348→            elements: [\n   349→              {\n   350→                type: 'button',\n   351→                text: { type: 'plain_text', text: 'View Lead', emoji: true },\n   352→                url: `${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${leadId}`\n   353→              }\n   354→            ]\n   355→          }] : [])\n   356→        ]\n   357→      }\n   358→    ]\n   359→  };\n   360→\n   361→  return sendSlackMessage(payload);\n   362→}\n   363→\n   364→/**\n   365→ * Send voicemail alert to Slack\n   366→ * @param {string} leadId - Lead ID (or null)\n   367→ * @param {string} phone - Caller phone\n   368→ * @param {number} duration - Recording duration in seconds\n   369→ * @param {string} callerName - Caller name\n   370→ * @returns {Promise<{success: boolean, error?: string}>}\n   371→ */\n   372→async function sendVoicemailAlert(leadId, phone, duration, callerName) {\n   373→  const leadLink = leadId\n   374→    ? `<${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${leadId}|${callerName}>`\n   375→    : callerName;\n   376→\n   377→  const payload = {\n   378→    text: ':voicemail: New Voicemail',\n   379→    attachments: [\n   380→      {\n   381→        color: '#8b5cf6',\n   382→        blocks: [\n   383→          {\n   384→            type: 'section',\n   385→            text: {\n   386→              type: 'mrkdwn',\n   387→              text: `:voicemail: *New Voicemail Received*`\n   388→            }\n   389→          },\n   390→          {\n   391→            type: 'section',\n   392→            fields: [\n   393→              {\n   394→                type: 'mrkdwn',\n   395→                text: `*From:*\\n${leadLink}`\n   396→              },\n   397→              {\n   398→                type: 'mrkdwn',\n   399→                text: `*Duration:*\\n${duration}s`\n   400→              }\n   401→            ]\n   402→          },\n   403→          {\n   404→            type: 'context',\n   405→            elements: [\n   406→              {\n   407→                type: 'mrkdwn',\n   408→                text: ':hourglass_flowing_sand: Transcription processing...'\n   409→              }\n   410→            ]\n   411→          }\n   412→        ]\n   413→      }\n   414→    ]\n   415→  };\n   416→\n   417→  return sendSlackMessage(payload);\n   418→}\n   419→\n   420→/**\n   421→ * Send callback reminder to Slack\n   422→ * @param {object} callback - Callback record\n   423→ * @param {object} lead - Lead object\n   424→ * @returns {Promise<{success: boolean, error?: string}>}\n   425→ */\n   426→async function sendCallbackReminder(callback, lead) {\n   427→  const leadName = lead ? `${lead.first_name || ''} ${lead.last_name || ''}`.trim() : 'Unknown';\n   428→\n   429→  const payload = {\n   430→    text: ':alarm_clock: Callback Reminder',\n   431→    attachments: [\n   432→      {\n   433→        color: '#17a2b8',\n   434→        blocks: [\n   435→          {\n   436→            type: 'section',\n   437→            text: {\n   438→              type: 'mrkdwn',\n   439→              text: `*${leadName}* is due for a callback`\n   440→            }\n   441→          },\n   442→          {\n   443→            type: 'section',\n   444→            fields: [\n   445→              {\n   446→                type: 'mrkdwn',\n   447→                text: `*Phone:*\\n${lead?.phone || 'Unknown'}`\n   448→              },\n   449→              {\n   450→                type: 'mrkdwn',\n   451→                text: `*Reason:*\\n${callback.reason || 'Follow-up'}`\n   452→              }\n   453→            ]\n   454→          }\n   455→        ]\n   456→      }\n   457→    ]\n   458→  };\n   459→\n   460→  return sendSlackMessage(payload);\n   461→}\n   462→\n   463→/**\n   464→ * Send daily summary to Slack\n   465→ * @param {object} metrics - Daily metrics\n   466→ * @returns {Promise<{success: boolean, error?: string}>}\n   467→ */\n   468→async function sendDailySummary(metrics) {\n   469→  const payload = {\n   470→    text: ':chart_with_upwards_trend: Daily Summary',\n   471→    attachments: [\n   472→      {\n   473→        color: '#007bff',\n   474→        blocks: [\n   475→          {\n   476→            type: 'section',\n   477→            text: {\n   478→              type: 'mrkdwn',\n   479→              text: '*RateRight Growth Engine - Daily Summary*'\n   480→            }\n   481→          },\n   482→          {\n   483→            type: 'section',\n   484→            fields: [\n   485→              {\n   486→                type: 'mrkdwn',\n   487→                text: `*Calls Made:*\\n${metrics.callsMade || 0}`\n   488→              },\n   489→              {\n   490→                type: 'mrkdwn',\n   491→                text: `*SMS Sent:*\\n${metrics.smsSent || 0}`\n   492→              },\n   493→              {\n   494→                type: 'mrkdwn',\n   495→                text: `*Inbound SMS:*\\n${metrics.inboundSms || 0}`\n   496→              },\n   497→              {\n   498→                type: 'mrkdwn',\n   499→                text: `*Conversions:*\\n${metrics.conversions || 0}`\n   500→              }\n   501→            ]\n   502→          },\n   503→          {\n   504→            type: 'section',\n   505→            fields: [\n   506→              {\n   507→                type: 'mrkdwn',\n   508→                text: `*Hot Leads:*\\n${metrics.hotLeads || 0}`\n   509→              },\n   510→              {\n   511→                type: 'mrkdwn',\n   512→                text: `*Pending Callbacks:*\\n${metrics.pendingCallbacks || 0}`\n   513→              }\n   514→            ]\n   515→          }\n   516→        ]\n   517→      }\n   518→    ]\n   519→  };\n   520→\n   521→  return sendSlackMessage(payload);\n   522→}\n   523→\n   524→/**\n   525→ * Send conversion alert to Slack\n   526→ * @param {object} lead - Lead object\n   527→ * @param {string} type - Conversion type (job_posted, worker_hired, subscription)\n   528→ * @returns {Promise<{success: boolean, error?: string}>}\n   529→ */\n   530→async function sendConversionAlert(lead, type) {\n   531→  const typeInfo = {\n   532→    job_posted: { emoji: ':briefcase:', text: 'posted a job' },\n   533→    worker_hired: { emoji: ':handshake:', text: 'hired a worker' },\n   534→    subscription: { emoji: ':star:', text: 'upgraded to subscription' }\n   535→  };\n   536→\n   537→  const info = typeInfo[type] || { emoji: ':tada:', text: 'converted' };\n   538→  const leadName = lead ? `${lead.first_name || ''} ${lead.last_name || ''}`.trim() : 'Unknown';\n   539→\n   540→  const payload = {\n   541→    text: `${info.emoji} Conversion Alert`,\n   542→    attachments: [\n   543→      {\n   544→        color: '#28a745',\n   545→        blocks: [\n   546→          {\n   547→            type: 'section',\n   548→            text: {\n   549→              type: 'mrkdwn',\n   550→              text: `${info.emoji} *${leadName}* ${info.text}!`\n   551→            }\n   552→          }\n   553→        ]\n   554→      }\n   555→    ]\n   556→  };\n   557→\n   558→  return sendSlackMessage(payload);\n   559→}\n   560→\n   561→/**\n   562→ * Send weekly \"What's Working\" report to Slack\n   563→ * @param {object} report - Weekly report data\n   564→ * @returns {Promise<{success: boolean, error?: string}>}\n   565→ */\n   566→async function sendWeeklyReport(report) {\n   567→  const { insights, weekStats, totalConversions } = report;\n   568→\n   569→  // Build insight blocks\n   570→  const insightBlocks = insights.map(insight => ({\n   571→    type: 'section',\n   572→    text: {\n   573→      type: 'mrkdwn',\n   574→      text: `${insight.icon} *${insight.title}*\\n${insight.detail}\\n_${insight.action}_`\n   575→    }\n   576→  }));\n   577→\n   578→  // If no insights, add a placeholder\n   579→  if (insightBlocks.length === 0) {\n   580→    insightBlocks.push({\n   581→      type: 'section',\n   582→      text: {\n   583→        type: 'mrkdwn',\n   584→        text: ':chart_with_upwards_trend: Keep calling! More data will unlock insights.'\n   585→      }\n   586→    });\n   587→  }\n   588→\n   589→  const payload = {\n   590→    text: ':crystal_ball: Weekly \"What\\'s Working\" Report',\n   591→    attachments: [\n   592→      {\n   593→        color: '#6366f1',\n   594→        blocks: [\n   595→          {\n   596→            type: 'header',\n   597→            text: {\n   598→              type: 'plain_text',\n   599→              text: '🔮 What\\'s Working This Week',\n   600→              emoji: true\n   601→            }\n   602→          },\n   603→          {\n   604→            type: 'section',\n   605→            text: {\n   606→              type: 'mrkdwn',\n   607→              text: `Based on *${totalConversions} conversions* over the last 30 days`\n   608→            }\n   609→          },\n   610→          {\n   611→            type: 'divider'\n   612→          },\n   613→          ...insightBlocks,\n   614→          {\n   615→            type: 'divider'\n   616→          },\n   617→          {\n   618→            type: 'section',\n   619→            text: {\n   620→              type: 'mrkdwn',\n   621→              text: '*This Week\\'s Activity*'\n   622→            }\n   623→          },\n   624→          {\n   625→            type: 'section',\n   626→            fields: [\n   627→              {\n   628→                type: 'mrkdwn',\n   629→                text: `:phone: *Calls:* ${weekStats.calls}`\n   630→              },\n   631→              {\n   632→                type: 'mrkdwn',\n   633→                text: `:outbox_tray: *SMS Out:* ${weekStats.smsOut}`\n   634→              },\n   635→              {\n   636→                type: 'mrkdwn',\n   637→                text: `:inbox_tray: *SMS In:* ${weekStats.smsIn}`\n   638→              },\n   639→              {\n   640→                type: 'mrkdwn',\n   641→                text: `:trophy: *Conversions:* ${weekStats.conversions}`\n   642→              }\n   643→            ]\n   644→          },\n   645→          {\n   646→            type: 'context',\n   647→            elements: [\n   648→              {\n   649→                type: 'mrkdwn',\n   650→                text: ':robot_face: _AI has auto-tuned the call list based on these patterns_'\n   651→              }\n   652→            ]\n   653→          }\n   654→        ]\n   655→      }\n   656→    ]\n   657→  };\n   658→\n   659→  return sendSlackMessage(payload);\n   660→}\n   661→\n   662→/**\n   663→ * Send bug report to Slack\n   664→ * @param {object} report - Bug report data\n   665→ * @returns {Promise<{success: boolean, error?: string}>}\n   666→ */\n   667→async function sendBugReport(report) {\n   668→  const { description, pageUrl, userEmail, deviceInfo, timestamp, screenshot } = report;\n   669→\n   670→  // Format timestamp in AEST\n   671→  const aestTime = new Date(timestamp).toLocaleString('en-AU', {\n   672→    timeZone: 'Australia/Sydney',\n   673→    year: 'numeric',\n   674→    month: '2-digit',\n   675→    day: '2-digit',\n   676→    hour: '2-digit',\n   677→    minute: '2-digit',\n   678→  });\n   679→\n   680→  const blocks = [\n   681→    {\n   682→      type: 'header',\n   683→      text: {\n   684→        type: 'plain_text',\n   685→        text: '🐛 BUG REPORT',\n   686→        emoji: true\n   687→      }\n   688→    },\n   689→    {\n   690→      type: 'section',\n   691→      fields: [\n   692→        {\n   693→          type: 'mrkdwn',\n   694→          text: `*From:*\\n${userEmail}`\n   695→        },\n   696→        {\n   697→          type: 'mrkdwn',\n   698→          text: `*Page:*\\n${pageUrl}`\n   699→        },\n   700→        {\n   701→          type: 'mrkdwn',\n   702→          text: `*Time:*\\n${aestTime} AEST`\n   703→        },\n   704→        {\n   705→          type: 'mrkdwn',\n   706→          text: `*Device:*\\n${deviceInfo}`\n   707→        }\n   708→      ]\n   709→    },\n   710→    {\n   711→      type: 'section',\n   712→      text: {\n   713→        type: 'mrkdwn',\n   714→        text: `*Description:*\\n> \"${description}\"`\n   715→      }\n   716→    }\n   717→  ];\n   718→\n   719→  // Add screenshot indicator if present\n   720→  if (screenshot) {\n   721→    blocks.push({\n   722→      type: 'context',\n   723→      elements: [\n   724→        {\n   725→          type: 'mrkdwn',\n   726→          text: ':camera: _Screenshot attached below_'\n   727→        }\n   728→      ]\n   729→    });\n   730→  }\n   731→\n   732→  const payload = {\n   733→    text: '🐛 Bug Report from ' + userEmail,\n   734→    attachments: [\n   735→      {\n   736→        color: '#dc3545',\n   737→        blocks\n   738→      }\n   739→    ]\n   740→  };\n   741→\n   742→  // Send the main message\n   743→  const result = await sendSlackMessage(payload);\n   744→\n   745→  // If there's a screenshot, send it as a follow-up message\n   746→  // Note: Slack webhooks can't directly upload images, so we send the base64 data\n   747→  // For production, you'd want to upload to S3/Cloudinary first\n   748→  if (screenshot && result.success) {\n   749→    // For now, just indicate screenshot was captured in the message\n   750→    // Full image upload would require Slack API tokens, not just webhook\n   751→    console.log('[BugReport] Screenshot captured (base64 length:', screenshot.length, ')');\n   752→  }\n   753→\n   754→  return result;\n   755→}\n   756→\n   757→/**\n   758→ * Send contractor referral alert to Slack\n   759→ * @param {object} contractor - New contractor lead data\n   760→ * @param {object} worker - Worker who provided the referral\n   761→ * @returns {Promise<{success: boolean, error?: string}>}\n   762→ */\n   763→async function sendContractorReferralAlert(contractor, worker) {\n   764→  const workerName = worker ? `${worker.first_name || ''} ${worker.last_name || ''}`.trim() : 'Unknown Worker';\n   765→  const contractorName = contractor ? `${contractor.first_name || ''} ${contractor.last_name || ''}`.trim() : 'Unknown';\n   766→\n   767→  const payload = {\n   768→    text: ':phone: New Contractor Lead from Worker Intel',\n   769→    attachments: [\n   770→      {\n   771→        color: '#f59e0b',\n   772→        blocks: [\n   773→          {\n   774→            type: 'header',\n   775→            text: {\n   776→              type: 'plain_text',\n   777→              text: 'New Contractor Lead from Worker Intel',\n   778→              emoji: true\n   779→            }\n   780→          },\n   781→          {\n   782→            type: 'section',\n   783→            fields: [\n   784→              {\n   785→                type: 'mrkdwn',\n   786→                text: `*Contractor:*\\n${contractorName}${contractor?.job_title ? ` (${contractor.job_title})` : ''}`\n   787→              },\n   788→              {\n   789→                type: 'mrkdwn',\n   790→                text: `*Phone:*\\n${contractor?.phone || 'Unknown'}`\n   791→              }\n   792→            ]\n   793→          },\n   794→          {\n   795→            type: 'section',\n   796→            text: {\n   797→              type: 'mrkdwn',\n   798→              text: `*Source:*\\n:speech_balloon: ${workerName} texted the number`\n   799→            }\n   800→          },\n   801→          {\n   802→            type: 'context',\n   803→            elements: [\n   804→              {\n   805→                type: 'mrkdwn',\n   806→                text: ':fire: *Hot referral* - insider contact from worker'\n   807→              }\n   808→            ]\n   809→          }\n   810→        ]\n   811→      }\n   812→    ]\n   813→  };\n   814→\n   815→  // Add link to new lead if we have the ID\n   816→  if (contractor?.id) {\n   817→    payload.attachments[0].blocks.push({\n   818→      type: 'actions',\n   819→      elements: [\n   820→        {\n   821→          type: 'button',\n   822→          text: {\n   823→            type: 'plain_text',\n   824→            text: 'View Lead',\n   825→            emoji: true\n   826→          },\n   827→          url: `${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${contractor.id}`\n   828→        }\n   829→      ]\n   830→    });\n   831→  }\n   832→\n   833→  return sendSlackMessage(payload);\n   834→}\n   835→\n   836→/**\n   837→ * Send website signup alert to Slack (URGENT formatting)\n   838→ * @param {object} lead - Lead object\n   839→ * @param {boolean} isReEngaged - Whether this is a returning lead\n   840→ * @param {array} previousHistory - Previous communications history\n   841→ * @param {string} aiInsight - AI-generated insight for re-engaged leads\n   842→ * @param {string} signupMessage - Message from the signup form\n   843→ * @returns {Promise<{success: boolean, error?: string}>}\n   844→ */\n   845→async function sendWebsiteSignupAlert(lead, isReEngaged, previousHistory, aiInsight, signupMessage) {\n   846→  const leadName = lead ? `${lead.first_name || ''} ${lead.last_name || ''}`.trim() : 'Unknown';\n   847→  const leadLink = lead?.id\n   848→    ? `<${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${lead.id}|${leadName}>`\n   849→    : leadName;\n   850→\n   851→  // Calculate time since signup (for urgency)\n   852→  const now = Date.now();\n   853→  const signupTime = lead?.signup_at ? new Date(lead.signup_at).getTime() : now;\n   854→  const secondsAgo = Math.floor((now - signupTime) / 1000);\n   855→\n   856→  // Build header based on re-engagement status\n   857→  let headerText, headerEmoji, color;\n   858→  if (isReEngaged) {\n   859→    headerText = `:rotating_light: *THEY'RE BACK!*\\n_${leadName} just signed up again on your website_`;\n   860→    headerEmoji = `🔴 THEY'RE BACK! ${leadName} re-engaged!`;\n   861→    color = '#dc2626'; // Red for re-engaged\n   862→  } else {\n   863→    headerText = `:large_orange_circle: *NEW WEBSITE SIGNUP*\\n_${leadName} just signed up - call within 5 minutes for 10x conversion!_`;\n   864→    headerEmoji = `🟠 NEW WEBSITE SIGNUP - ${leadName}`;\n   865→    color = '#f97316'; // Orange for new\n   866→  }\n   867→\n   868→  const blocks = [\n   869→    {\n   870→      type: 'section',\n   871→      text: {\n   872→        type: 'mrkdwn',\n   873→        text: headerText\n   874→      }\n   875→    },\n   876→    {\n   877→      type: 'section',\n   878→      fields: [\n   879→        {\n   880→          type: 'mrkdwn',\n   881→          text: `*Lead:*\\n${leadLink}`\n   882→        },\n   883→        {\n   884→          type: 'mrkdwn',\n   885→          text: `*Company:*\\n${lead?.company || 'Unknown'}`\n   886→        },\n   887→        {\n   888→          type: 'mrkdwn',\n   889→          text: `*Phone:*\\n${lead?.phone || 'Unknown'}`\n   890→        },\n   891→        {\n   892→          type: 'mrkdwn',\n   893→          text: `*Score:*\\n${lead?.score || 70}`\n   894→        }\n   895→      ]\n   896→    }\n   897→  ];\n   898→\n   899→  // Add signup message if provided\n   900→  if (signupMessage) {\n   901→    blocks.push({\n   902→      type: 'section',\n   903→      text: {\n   904→        type: 'mrkdwn',\n   905→        text: `*Their Message:*\\n> \"${signupMessage}\"`\n   906→      }\n   907→    });\n   908→  }\n   909→\n   910→  // Add AI insight for re-engaged leads\n   911→  if (isReEngaged && aiInsight) {\n   912→    blocks.push({\n   913→      type: 'section',\n   914→      text: {\n   915→        type: 'mrkdwn',\n   916→        text: `:robot_face: *AI Insight:*\\n_${aiInsight}_`\n   917→      }\n   918→    });\n   919→  }\n   920→\n   921→  // Add previous history summary for re-engaged leads\n   922→  if (isReEngaged && previousHistory && previousHistory.length > 0) {\n   923→    const historyItems = previousHistory.slice(0, 3).map(h => {\n   924→      const date = new Date(h.created_at).toLocaleDateString('en-AU');\n   925→      const type = h.type.replace('_', ' ');\n   926→      return `• ${date}: ${type}`;\n   927→    }).join('\\n');\n   928→\n   929→    blocks.push({\n   930→      type: 'section',\n   931→      text: {\n   932→        type: 'mrkdwn',\n   933→        text: `*Previous Contact:*\\n${historyItems}`\n   934→      }\n   935→    });\n   936→  }\n   937→\n   938→  // Add urgency message\n   939→  blocks.push({\n   940→    type: 'context',\n   941→    elements: [\n   942→      {\n   943→        type: 'mrkdwn',\n   944→        text: isReEngaged\n   945→          ? `:fire: *HIGH PRIORITY* - They came back! Previous interest confirmed. Close this deal!`\n   946→          : `:stopwatch: *${secondsAgo}s ago* - Call within 5 mins = 10x conversion rate!`\n   947→      }\n   948→    ]\n   949→  });\n   950→\n   951→  // Add call button\n   952→  if (lead?.id) {\n   953→    blocks.push({\n   954→      type: 'actions',\n   955→      elements: [\n   956→        {\n   957→          type: 'button',\n   958→          text: {\n   959→            type: 'plain_text',\n   960→            text: '📞 CALL NOW',\n   961→            emoji: true\n   962→          },\n   963→          style: 'danger',\n   964→          url: `${process.env.ADMIN_URL || 'https://admin.rateright.com.au'}/leads/${lead.id}?action=call`\n   965→        }\n   966→      ]\n   967→    });\n   968→  }\n   969→\n   970→  const payload = {\n   971→    text: headerEmoji,\n   972→    attachments: [\n   973→      {\n   974→        color,\n   975→        blocks\n   976→      }\n   977→    ]\n   978→  };\n   979→\n   980→  return sendSlackMessage(payload);\n   981→}\n   982→\n   983→/**\n   984→ * Send dev queue item to Slack (bug or feature)\n   985→ * @param {object} item - Dev queue item\n   986→ * @param {string} itemType - 'bug', 'test_bug', or 'feature'\n   987→ * @returns {Promise<{success: boolean, error?: string}>}\n   988→ */\n   989→async function sendDevQueueItem(item, itemType) {\n   990→  const isFeature = itemType === 'feature';\n   991→  const isTestBug = itemType === 'test_bug';\n   992→\n   993→  // Format based on type\n   994→  let emoji, color, typeLabel;\n   995→  if (isFeature) {\n   996→    emoji = ':bulb:';\n   997→    color = '#6366f1'; // Purple\n   998→    typeLabel = 'FEATURE';\n   999→  } else if (isTestBug) {\n  1000→    emoji = ':warning:';\n  1001→    color = '#f59e0b'; // Amber\n  1002→    typeLabel = `TEST-BUG #${item.parent_feature_id}`;\n  1003→  } else {\n  1004→    emoji = ':bug:';\n  1005→    color = '#dc3545'; // Red\n  1006→    typeLabel = 'BUG';\n  1007→  }\n  1008→\n  1009→  const blocks = [\n  1010→    {\n  1011→      type: 'header',\n  1012→      text: {\n  1013→        type: 'plain_text',\n  1014→        text: `${emoji} [${typeLabel} #${item.id}] ${item.title}`,\n  1015→        emoji: true\n  1016→      }\n  1017→    }\n  1018→  ];\n  1019→\n  1020→  // Add description if present\n  1021→  if (item.description) {\n  1022→    blocks.push({\n  1023→      type: 'section',\n  1024→      text: {\n  1025→        type: 'mrkdwn',\n  1026→        text: `> ${item.description}`\n  1027→      }\n  1028→    });\n  1029→  }\n  1030→\n  1031→  // Add context\n  1032→  const contextParts = [`*From:* ${item.reported_by}`];\n  1033→  if (item.page_url) {\n  1034→    contextParts.push(`*Page:* ${item.page_url}`);\n  1035→  }\n  1036→\n  1037→  blocks.push({\n  1038→    type: 'section',\n  1039→    fields: contextParts.map(text => ({ type: 'mrkdwn', text }))\n  1040→  });\n  1041→\n  1042→  // Add CC protocol reminder\n  1043→  blocks.push({\n  1044→    type: 'context',\n  1045→    elements: [\n  1046→      {\n  1047→        type: 'mrkdwn',\n  1048→        text: ':robot_face: *CC Protocol:* Read `docs/LESSONS.md` first | Trace data flow | Check if similar bug documented'\n  1049→      }\n  1050→    ]\n  1051→  });\n  1052→\n  1053→  const payload = {\n  1054→    text: `${emoji} [${typeLabel} #${item.id}] ${item.title}`,\n  1055→    attachments: [{ color, blocks }]\n  1056→  };\n  1057→\n  1058→  return sendSlackMessage(payload);\n  1059→}\n  1060→\n  1061→/**\n  1062→ * Send \"Ready to Test\" notification to Slack\n  1063→ * @param {object} item - Dev queue item that's ready\n  1064→ * @returns {Promise<{success: boolean, error?: string}>}\n  1065→ */\n  1066→async function sendDevQueueReady(item) {\n  1067→  const isFeature = item.type === 'feature';\n  1068→  const emoji = isFeature ? ':white_check_mark:' : ':wrench:';\n  1069→  const typeLabel = isFeature ? 'FEATURE' : 'BUG FIX';\n  1070→\n  1071→  const blocks = [\n  1072→    {\n  1073→      type: 'header',\n  1074→      text: {\n  1075→        type: 'plain_text',\n  1076→        text: `${emoji} [READY #${item.id}] ${item.title}`,\n  1077→        emoji: true\n  1078→      }\n  1079→    },\n  1080→    {\n  1081→      type: 'section',\n  1082→      text: {\n  1083→        type: 'mrkdwn',\n  1084→        text: `*${typeLabel} ready for testing!*`\n  1085→      }\n  1086→    }\n  1087→  ];\n  1088→\n  1089→  // Add CC notes if present\n  1090→  if (item.cc_notes) {\n  1091→    blocks.push({\n  1092→      type: 'section',\n  1093→      text: {\n  1094→        type: 'mrkdwn',\n  1095→        text: `:memo: *Build Notes:*\\n${item.cc_notes}`\n  1096→      }\n  1097→    });\n  1098→  }\n  1099→\n  1100→  // Add testing instructions\n  1101→  blocks.push({\n  1102→    type: 'context',\n  1103→    elements: [\n  1104→      {\n  1105→        type: 'mrkdwn',\n  1106→        text: `:point_right: Test this ${isFeature ? 'feature' : 'fix'}. Report bugs with \\`#${item.id}\\` to link them.`\n  1107→      }\n  1108→    ]\n  1109→  });\n  1110→\n  1111→  const payload = {\n  1112→    text: `${emoji} [READY #${item.id}] ${item.title} - Ready to test!`,\n  1113→    attachments: [{ color: '#22c55e', blocks }]\n  1114→  };\n  1115→\n  1116→  return sendSlackMessage(payload);\n  1117→}\n  1118→\n  1119→/**\n  1120→ * Check if Slack is configured\n  1121→ * @returns {boolean}\n  1122→ */\n  1123→function isConfigured() {\n  1124→  return !!process.env.SLACK_WEBHOOK_URL;\n  1125→}\n  1126→\n  1127→module.exports = {\n  1128→  sendSlackMessage,\n  1129→  sendInboundAlert,\n  1130→  sendInboundCallAlert,\n  1131→  sendMissedCallAlert,\n  1132→  sendVoicemailAlert,\n  1133→  sendCallbackReminder,\n  1134→  sendDailySummary,\n  1135→  sendConversionAlert,\n  1136→  sendWeeklyReport,\n  1137→  sendBugReport,\n  1138→  sendContractorReferralAlert,\n  1139→  sendWebsiteSignupAlert,\n  1140→  sendDevQueueItem,\n  1141→  sendDevQueueReady,\n  1142→  isConfigured\n  1143→};\n  1144→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"57bc9f7e-ef41-4b3c-8012-b800e7b61b87","timestamp":"2026-02-07T05:52:45.583Z","sourceToolAssistantUUID":"fcda4a77-8b45-4ae9-b8bc-0c2fa1b76ee7"}
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{"parentUuid":"0d9e6eb1-aab1-4963-9dea-75ac5aa1a6a5","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C6nWwiJHSiNzznGfr1Nksb","type":"tool_result","content":"     1→/**\n     2→ * XP Service - Award XP for user actions\n     3→ * Used across routes to consistently award XP\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→\n     8→// XP Award amounts for different actions\n     9→const XP_AWARDS = {\n    10→  call_made: 5,\n    11→  call_connected: 10,\n    12→  conversation_started: 15,\n    13→  callback_scheduled: 10,\n    14→  meeting_set: 25,\n    15→  conversion: 100,\n    16→  sms_sent: 2,\n    17→  sms_reply_received: 5,\n    18→  copilot_used: 5,\n    19→  script_completed: 15,\n    20→  daily_target_met: 50,\n    21→  streak_bonus: 10, // Per streak day\n    22→};\n    23→\n    24→// Level names\n    25→const LEVEL_NAMES = {\n    26→  1: 'Rookie',\n    27→  2: 'Prospect',\n    28→  3: 'Closer',\n    29→  4: 'Hustler',\n    30→  5: 'Deal Maker',\n    31→  6: 'Sales Star',\n    32→  7: 'Rainmaker',\n    33→  8: 'Legend',\n    34→  9: 'Hall of Famer',\n    35→  10: 'GOAT',\n    36→};\n    37→\n    38→// Calculate level from XP\n    39→function calculateLevel(xp) {\n    40→  return Math.max(1, Math.floor(Math.sqrt(xp / 100)) + 1);\n    41→}\n    42→\n    43→/**\n    44→ * Award XP to a user for an action\n    45→ * @param {string} userId - The user ID\n    46→ * @param {string} action - The action type (from XP_AWARDS keys)\n    47→ * @param {object} options - Additional options\n    48→ * @param {number} options.customAmount - Override the default amount\n    49→ * @param {string} options.relatedId - ID of related entity (lead, call, etc.)\n    50→ * @param {string} options.reason - Custom reason description\n    51→ * @returns {object} - Result with awarded XP, level info, etc.\n    52→ */\n    53→async function awardXP(userId, action, options = {}) {\n    54→  try {\n    55→    const { customAmount, relatedId, reason } = options;\n    56→\n    57→    // Determine XP amount\n    58→    const amount = customAmount || XP_AWARDS[action] || 0;\n    59→\n    60→    if (amount <= 0) {\n    61→      return { success: false, error: 'Invalid action or amount' };\n    62→    }\n    63→\n    64→    // Get current XP record\n    65→    let { data: xpData } = await supabase\n    66→      .from('user_xp')\n    67→      .select('*')\n    68→      .eq('user_id', userId)\n    69→      .single();\n    70→\n    71→    const today = new Date().toISOString().split('T')[0];\n    72→    let levelUp = false;\n    73→    let newLevel = null;\n    74→    let streakBonus = 0;\n    75→\n    76→    if (xpData) {\n    77→      const oldLevel = xpData.level || calculateLevel(xpData.total_xp);\n    78→      const newTotalXP = xpData.total_xp + amount;\n    79→      newLevel = calculateLevel(newTotalXP);\n    80→      levelUp = newLevel > oldLevel;\n    81→\n    82→      // Check and update streak\n    83→      let newStreak = xpData.current_streak;\n    84→      let newLongestStreak = xpData.longest_streak;\n    85→\n    86→      if (xpData.last_activity_date) {\n    87→        const lastDate = new Date(xpData.last_activity_date);\n    88→        const todayDate = new Date(today);\n    89→        const daysDiff = Math.floor((todayDate - lastDate) / (1000 * 60 * 60 * 24));\n    90→\n    91→        if (daysDiff === 1) {\n    92→          // Consecutive day - extend streak\n    93→          newStreak = xpData.current_streak + 1;\n    94→          // Add streak bonus (capped at 100)\n    95→          streakBonus = Math.min(newStreak * XP_AWARDS.streak_bonus, 100);\n    96→        } else if (daysDiff > 1) {\n    97→          // Streak broken\n    98→          newStreak = 1;\n    99→        }\n   100→        // daysDiff === 0 means same day, keep streak\n   101→      } else {\n   102→        newStreak = 1;\n   103→      }\n   104→\n   105→      newLongestStreak = Math.max(newLongestStreak, newStreak);\n   106→\n   107→      // Update XP record\n   108→      const { error: updateError } = await supabase\n   109→        .from('user_xp')\n   110→        .update({\n   111→          total_xp: newTotalXP + streakBonus,\n   112→          level: newLevel,\n   113→          current_streak: newStreak,\n   114→          longest_streak: newLongestStreak,\n   115→          last_activity_date: today,\n   116→        })\n   117→        .eq('user_id', userId);\n   118→\n   119→      if (updateError) throw updateError;\n   120→\n   121→      xpData.total_xp = newTotalXP + streakBonus;\n   122→      xpData.current_streak = newStreak;\n   123→    } else {\n   124→      // Create new record\n   125→      const { data: newData, error: insertError } = await supabase\n   126→        .from('user_xp')\n   127→        .insert({\n   128→          user_id: userId,\n   129→          total_xp: amount,\n   130→          level: 1,\n   131→          current_streak: 1,\n   132→          longest_streak: 1,\n   133→          last_activity_date: today,\n   134→        })\n   135→        .select()\n   136→        .single();\n   137→\n   138→      if (insertError) throw insertError;\n   139→      xpData = newData;\n   140→      newLevel = 1;\n   141→    }\n   142→\n   143→    // Log XP history\n   144→    await supabase.from('xp_history').insert({\n   145→      user_id: userId,\n   146→      amount: amount + streakBonus,\n   147→      reason: reason || action,\n   148→      related_id: relatedId,\n   149→    });\n   150→\n   151→    return {\n   152→      success: true,\n   153→      awarded: amount,\n   154→      streakBonus,\n   155→      totalAwarded: amount + streakBonus,\n   156→      newTotal: xpData.total_xp,\n   157→      level: newLevel || xpData.level,\n   158→      levelName: LEVEL_NAMES[Math.min(newLevel || xpData.level, 10)],\n   159→      levelUp,\n   160→      currentStreak: xpData.current_streak,\n   161→    };\n   162→  } catch (error) {\n   163→    console.error('Error awarding XP:', error);\n   164→    return { success: false, error: error.message };\n   165→  }\n   166→}\n   167→\n   168→/**\n   169→ * Award XP for a call outcome\n   170→ * Maps call outcomes to appropriate XP awards\n   171→ */\n   172→async function awardXPForCall(userId, outcome, leadId) {\n   173→  const outcomeToAction = {\n   174→    connected: 'call_connected',\n   175→    voicemail: 'call_made',\n   176→    no_answer: 'call_made',\n   177→    busy: 'call_made',\n   178→    wrong_number: 'call_made',\n   179→    callback_scheduled: 'callback_scheduled',\n   180→    not_interested: 'call_connected',\n   181→    interested: 'conversation_started',\n   182→    converted: 'conversion',\n   183→  };\n   184→\n   185→  const action = outcomeToAction[outcome] || 'call_made';\n   186→  return awardXP(userId, action, {\n   187→    relatedId: leadId,\n   188→    reason: `Call: ${outcome}`,\n   189→  });\n   190→}\n   191→\n   192→/**\n   193→ * Award XP for sending an SMS\n   194→ */\n   195→async function awardXPForSMS(userId, leadId, isReply = false) {\n   196→  const action = isReply ? 'sms_reply_received' : 'sms_sent';\n   197→  return awardXP(userId, action, {\n   198→    relatedId: leadId,\n   199→    reason: isReply ? 'SMS reply received' : 'SMS sent',\n   200→  });\n   201→}\n   202→\n   203→module.exports = {\n   204→  XP_AWARDS,\n   205→  LEVEL_NAMES,\n   206→  calculateLevel,\n   207→  awardXP,\n   208→  awardXPForCall,\n   209→  awardXPForSMS,\n   210→};\n   211→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a7edf407-174f-4b31-aa14-adb4ed9b2a09","timestamp":"2026-02-07T05:52:45.770Z","sourceToolAssistantUUID":"0d9e6eb1-aab1-4963-9dea-75ac5aa1a6a5"}
{"parentUuid":null,"logicalParentUuid":"7a629ea5-09a6-40dc-b256-81fda46c45d7","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"system","subtype":"compact_boundary","content":"Conversation compacted","isMeta":false,"timestamp":"2026-02-07T05:54:51.012Z","uuid":"55b91545-b144-4982-9f18-4bd94f826255","level":"info","compactMetadata":{"trigger":"auto","preTokens":174357}}
{"parentUuid":"55b91545-b144-4982-9f18-4bd94f826255","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":"This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation.\n\nAnalysis:\nLet me analyze the conversation chronologically:\n\n1. The user requested a detailed audit of every file in `/home/ccuser/rateright-growth/src/services/`. They want 7 specific things reported for each file:\n   - Functions exported and their purpose\n   - Bug risks (race conditions, unhandled promises, logic errors)\n   - Error handling (caught properly? swallowed silently?)\n   - Dead code (unused exports, commented-out code, stale functions)\n   - Security issues (API key exposure, SQL injection, unsafe string interpolation)\n   - External API calls (third-party services, response validation)\n   - Database queries (tables accessed, raw SQL injection risks)\n\n2. I started by reading the CLAUDE.md instructions, then attempted to read `.cc-local/MEMORY.md` which didn't exist. I then listed all files in the services directory and created a todo list to track progress.\n\n3. I've read the following files so far (about 30 out of 44 files):\n   - Batch 1: challengesServiceV2.js, aiCallScoring.js, activationAI.js, challengesService.js\n   - Batch 2: badgesService.js, callListRanker.js, callAnalytics.js, promptManagement.js\n   - Batch 3: learning.js, duelsService.js, dealIntelligence.js, selfImprovement.js\n   - Batch 4: platformSync.js, perplexity.js, repPerformance.js, compliance.js\n   - Batch 5: openai.js, criticalAlerts.js, leaderboardService.js, deepgram.js\n   - Batch 6: scoring.js, pushNotifications.js, weeklyIntelligence.js\n   - Batch 7 (partial): twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js, xpService.js\n\n4. Files NOT yet read:\n   - wisdom.js, stageDiagnosis.js, stageCalculator.js\n   - twimlWithStream.js, qualityAudit.js, ai.js, notifications.js\n   - taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js\n   - enrichment.js, jobLocking.js, twilio.js, cache.js\n\n5. I have NOT yet written the actual audit report. I've only been reading files to gather data. The user explicitly asked me to \"Be thorough and brutal. Report EVERYTHING with specific line numbers and code snippets.\"\n\n6. Key findings I should note from my reading:\n   - deepgram.js exposes API key to client via getClientConfig() (line 47)\n   - weeklyIntelligence.js creates OpenAI client at module level without checking for API key (line 9)\n   - promptManagement.js uses db.raw() which may not work with Supabase client (lines 167, 203)\n   - criticalAlerts.js has a setInterval at module level that could cause memory issues (line 34)\n   - Multiple files have race conditions in read-then-write patterns\n   - Multiple files silently swallow errors with .catch(() => {})\n   - challengesService.js matches challenges to actions by string matching on titles (fragile)\n   - duelsService.js has race conditions in updateDuelHistory (read-then-write without locking)\n   - Many files use sequential DB queries in loops instead of batch operations\n\nThe user has not provided any feedback yet - this is all first-pass work. No errors were encountered during reading.\n\nThe task was interrupted mid-way through reading files. I still need to read about 14 more files and then compile the full audit report.\n\nSummary:\n1. Primary Request and Intent:\n   The user requested a comprehensive, detailed security and code quality audit of ALL files in `/home/ccuser/rateright-growth/src/services/`. They explicitly listed 44 files to audit and specified 7 dimensions for each file:\n   1. Functions exported and their purpose\n   2. Bug risks — race conditions, unhandled promises, logic errors\n   3. Error handling — are errors caught properly? Are they swallowed silently?\n   4. Dead code — unused exports, commented-out code, stale functions\n   5. Security issues — API key exposure, SQL injection, unsafe string interpolation in queries\n   6. External API calls — what third-party services are used? Are responses validated?\n   7. Database queries — what tables are accessed? Any raw SQL injection risks?\n   \n   The user emphasized: \"Be thorough and brutal. Report EVERYTHING with specific line numbers and code snippets.\"\n\n2. Key Technical Concepts:\n   - Node.js/Express backend services for a sales CRM (RateRight Growth Engine)\n   - Supabase as the database layer (PostgreSQL via Supabase JS client)\n   - OpenAI GPT-4o / GPT-4o-mini for AI features (call scoring, nudges, analysis)\n   - Perplexity AI for web research (company/person intel)\n   - Deepgram for real-time speech-to-text transcription\n   - Twilio for SMS/calls with media streaming\n   - Slack webhooks for notifications\n   - Web Push notifications via VAPID\n   - Gamification system (XP, duels, challenges, badges, leaderboards)\n   - Self-improvement/intelligence loop (threshold auto-adjustment, prompt evolution)\n   - Lead scoring, call analytics, deal intelligence\n   - Platform sync with RateRight Admin API\n\n3. Files and Code Sections:\n   **Files successfully read (30 of 44):**\n   \n   - `/home/ccuser/rateright-growth/src/services/challengesServiceV2.js` (367 lines)\n     - Manager challenges with real stakes. Exports: createChallenge, joinChallenge, getActiveChallenges, getChallengeDetails, updateChallengeScores, completeChallenge, cancelChallenge, processExpiredChallenges\n     - Bug: line 293 `.catch(() => {})` silently swallows XP award errors\n     - Bug: line 296 dynamic require inside function: `const { createCelebrationEvent } = require('./duelsService')`\n     - Race condition: updateChallengeScores does sequential per-participant DB queries in a for loop (lines 194-235)\n   \n   - `/home/ccuser/rateright-growth/src/services/aiCallScoring.js` (441 lines)\n     - AI-powered call scoring using GPT-4. Exports: scoreCall, getCallScore, getUserScores, getBestCalls, getCallsNeedingCoaching, getUserScoreStats, getScoreLeaderboard\n     - Uses `supabaseAdmin || supabase` fallback pattern (line 9)\n     - Truncates transcript at 8000 chars (line 137) - could miss context\n     - Heuristic fallback scoring when OpenAI unavailable\n   \n   - `/home/ccuser/rateright-growth/src/services/activationAI.js` (469 lines)\n     - AI-powered funnel analysis and nudge generation. Exports: analyzeBlockers, generateNudge, generateBulkNudges, suggestAction, analyzeStageDropoff\n     - No DB queries - purely AI prompt service with fallback templates\n     - generateBulkNudges processes leads sequentially (line 185) - no parallelism\n   \n   - `/home/ccuser/rateright-growth/src/services/challengesService.js` (429 lines)\n     - Daily individual + team challenges. Exports: INDIVIDUAL_CHALLENGES, TEAM_CHALLENGES, generateDailyChallenges, generateTeamChallenge, updateChallengeProgress, getTodayChallenges, updateTeamChallengeProgress\n     - Bug: challenge matching based on title string matching (lines 189-235) - extremely fragile\n     - Race condition handled for duplicate key (23505) on lines 90-96 and 145-155\n     - Dynamic require inside loop: `const xpService = require('./xpService')` (lines 260, 398)\n   \n   - `/home/ccuser/rateright-growth/src/services/badgesService.js` (353 lines)\n     - Weekly badge awards. Exports: awardWeeklyBadges, getUserBadges, getCurrentWeekBadges, userHasBadge, getWeekStart\n     - Performance issue: fires N+1 queries - one per user for call stats (lines 28-71)\n     - Bug: \"Consistent\" badge only awards first qualifying user, not all (line 103)\n     - Dynamic require: `const slackService = require('./slack')` (line 254)\n   \n   - `/home/ccuser/rateright-growth/src/services/callListRanker.js` (558 lines)\n     - Lead priority scoring with 5-minute in-memory cache. Exports: computeLeadPriority, rankLeadsForCallList, buildRankingContext, refreshLeadPriority, computeUrgencyScore, computeIntentScore, computeTimingScore, computePatternScore, computeBaseScore\n     - Well-structured with O(1) callback lookup via Map (line 380)\n     - Tables: leads, callbacks, winning_patterns, conversion_patterns\n   \n   - `/home/ccuser/rateright-growth/src/services/callAnalytics.js` (802 lines)\n     - Call quality metrics analysis. Exports: analyzeCall, getCallAnalytics, getLeadCallAnalytics, getQualityTrends, getCoachingAlerts, reviewCoachingAlert, getQualityLeaderboard\n     - Bug: analyzeQuestions assumes ALL questions are from agent (line 275) - `agentTotal++` without speaker detection\n     - callerTotal is never incremented (dead variable, line 253)\n   \n   - `/home/ccuser/rateright-growth/src/services/promptManagement.js` (373 lines)\n     - Prompt version management. Exports: DEFAULT_PROMPTS, getActivePrompt, fillTemplate, recordPromptOutcome, getPromptPerformance, createPromptVersion, activatePromptVersion, getAllPromptStatus\n     - Bug: uses `db.raw('usage_count + 1')` (line 167) - Supabase JS client does NOT support `.raw()`, this will fail silently due to `.catch(() => {})`\n     - Same issue on line 203: `db.raw(`${updateField} + 1`)`\n     - Race condition in activatePromptVersion: deactivate-then-activate (lines 309-321) is not atomic\n   \n   - `/home/ccuser/rateright-growth/src/services/learning.js` (470 lines)\n     - Conversion pattern capture. Exports: captureConversionPattern, recordSuggestionFeedback, getEffectiveResponses, getSimilarWins\n     - Uses Promise.allSettled correctly (line 27) for parallel queries with fallbacks\n     - Tables: leads, communications, copilot_sessions, lead_notes, conversion_patterns, objection_responses, suggestion_feedback\n   \n   - `/home/ccuser/rateright-growth/src/services/duelsService.js` (610 lines)\n     - XP duels/head-to-head challenges. Exports: DUEL_TYPES, calculateOdds, createDuel, acceptDuel, declineDuel, getUserDuels, getUserDuelHistory, updateDuelScores, completeDuel, createCelebrationEvent, getRecentCelebrations, processExpiredDuels\n     - Race condition: updateDuelHistory (lines 493-530) is read-then-write without locking\n     - Race condition: createDuel checks for existing duels then inserts - TOCTOU vulnerability (lines 162-201)\n     - MAX_DAILY_LOSS_PERCENT constant defined (line 39) but never used - dead code\n   \n   - `/home/ccuser/rateright-growth/src/services/dealIntelligence.js` (602 lines)\n     - Deal stage tracking and stall prediction. Exports: recordStageTransition, recordDealOutcome, analyzeObjectionImpact, findWinningResponses, getDealVelocity, predictStall, getLossReasons, getLossReasonOptions, getDealsAtRisk\n     - Bug: updateObjectionOutcomes (line 158) updates ALL responses of a matching objection type, not just ones used for this specific lead\n     - N+1 query in getDealsAtRisk: calls predictStall per lead (up to 50 leads, line 566)\n   \n   - `/home/ccuser/rateright-growth/src/services/selfImprovement.js` (434 lines)\n     - Self-adjusting threshold system. Exports: getThresholds, saveThresholds, analyzeSuggestionPerformance, analyzeFrictionAccuracy, autoAdjustThresholds, learnFromSuccess, generateSelfImprovementReport, DEFAULT_THRESHOLDS\n     - Tables: system_settings, intelligence_suggestions, detected_friction, intelligence_adjustments\n     - Sends Slack notifications on threshold changes\n   \n   - `/home/ccuser/rateright-growth/src/services/platformSync.js` (550 lines)\n     - Syncs users from RateRight platform to CRM. Exports: platformRequest, fetchPlatformUsers, fetchPlatformStats, fetchPlatformJobs, fetchPlatformContracts, syncPlatformUser, syncAllPlatformUsers, checkPlatformConnection, findExistingLead, getLeadType, getUserJobs, getUserContracts\n     - External API: RateRight Admin API with X-API-Key auth and 30s timeout\n     - Sequential processing of users in syncAllPlatformUsers (line 461) - no batching/parallelism\n   \n   - `/home/ccuser/rateright-growth/src/services/perplexity.js` (713 lines)\n     - Web research via Perplexity AI. Exports: searchCompany, searchPerson, searchDecisionMaker, searchInterestNews, getCachedCompanyIntel, getCachedLeadIntel, normalizeCompanyName, autoResearchFromTranscript\n     - External API: Perplexity AI (sonar model) with 45s timeout\n     - 30-day cache in company_intel and lead_intel tables\n     - Privacy concern: searchPerson scrapes personal info (family status, hobbies, social profiles)\n   \n   - `/home/ccuser/rateright-growth/src/services/repPerformance.js` (587 lines)\n     - Rep performance analysis. Exports: generateWeeklyRepReport, aggregateRepWeeklyStats, analyzeRepPerformance, scoreCall, saveCallScore, saveWeeklySnapshot, getAllReps, formatDuration, formatHour\n     - External API: OpenAI via callOpenAI for performance analysis\n     - Tables: user_xp, communications, leads, call_quality_scores, rep_weekly_snapshots\n   \n   - `/home/ccuser/rateright-growth/src/services/compliance.js` (578 lines)\n     - Brand guideline compliance checking. Exports: getGuidelines, clearGuidelinesCache, checkCompliance, autoFixMessage, validateScript, batchValidate, addToReviewQueue, checkToneWithAI\n     - 2-hour cache for guidelines\n     - checkToneWithAI lazy-loads ai.js to avoid circular dependency (line 535)\n   \n   - `/home/ccuser/rateright-growth/src/services/openai.js` (70 lines)\n     - Thin OpenAI wrapper. Exports: generateChatCompletion, isConfigured\n     - Clean, minimal. No error handling issues.\n   \n   - `/home/ccuser/rateright-growth/src/services/criticalAlerts.js` (536 lines)\n     - Real-time Slack alerting. Exports: processEventForAlerts, checkRageClicks, checkErrorSpike, checkAbandonmentSpike, checkApiFailures, checkSmsDeliveryFailures, checkSlowApiResponses, runFullAlertCheck, sendCriticalAlert, THRESHOLDS\n     - Bug: `setInterval` at module level (line 34) - runs even in test environments, prevents clean shutdown\n     - Duplicate cleanup logic: shouldSendAlert (line 62) AND the setInterval both clean stale entries\n   \n   - `/home/ccuser/rateright-growth/src/services/leaderboardService.js` (531 lines)\n     - Gamification leaderboards. Exports: RECORD_TYPES, WEEKLY_BADGES, STREAK_TIERS, getLeaderboard, checkOvertake, checkRecord, getHallOfFame, createPulseEvent, getTeamPulse, updateStreakTier, saveLeaderboardSnapshot, getTodaysCallCount, formatRecordName\n     - AEST timezone handling throughout\n     - Bug: getTodaysCallCount (line 499) doesn't filter by userId - counts ALL users' calls\n   \n   - `/home/ccuser/rateright-growth/src/services/deepgram.js` (86 lines)\n     - Deepgram configuration. Exports: isConfigured, getClientConfig, getApiKey, getAuthenticatedWSUrl\n     - **SECURITY: getClientConfig() returns the DEEPGRAM_API_KEY to the client (line 47)** - API key exposure\n     - Comment on line 54 says \"NEVER expose this to the client\" but getClientConfig does exactly that\n   \n   - `/home/ccuser/rateright-growth/src/services/scoring.js` (278 lines)\n     - Lead scoring. Exports: calculateLeadScore, updateLeadScore, recalculateAllScores, getScoreTier, SCORE_RULES\n     - recalculateAllScores processes leads sequentially (line 246) - could be very slow\n     - Tables: leads, communications, platform_activity\n   \n   - `/home/ccuser/rateright-growth/src/services/pushNotifications.js` (306 lines)\n     - Web push notifications. Exports: sendPushNotification, broadcastPush, isQuietHours, notifyHighIntentSms, notifyNewSignup, notifyCallbackDue, notifyConversion\n     - Properly handles expired subscriptions (410/404 status codes)\n     - VAPID configuration at module level\n   \n   - `/home/ccuser/rateright-growth/src/services/weeklyIntelligence.js` (506 lines)\n     - Weekly usage analysis. Exports: runWeeklyAnalysis, getLatestReport, getPageStats, getFlowStats, getErrorStats, getAIQualityStats\n     - **BUG: Line 9 `const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY })` - crashes at module load if OpenAI package present but API key missing** (no guard like other files)\n     - Bug: getWeekStart() mutates `now` via `setDate()` (line 71) - side effect on the Date object\n   \n   - `/home/ccuser/rateright-growth/src/services/twilioMedia.js` (365 lines)\n     - Twilio Media Streams to Deepgram transcription. Exports: handleTwilioMediaStream, subscribeToTranscripts, activeStreams\n     - **Memory leak risk**: activeStreams Map (line 16) entries may not be cleaned up if WebSocket closes abnormally without 'stop' event\n     - Audio mixing logic for stereo channels\n   \n   - `/home/ccuser/rateright-growth/src/services/twilioMediaSetup.js` (34 lines)\n     - WebSocket server setup for Twilio Media. Exports: setupTwilioMediaStreams\n     - **Security: Logs all request headers (line 21)** - could log sensitive auth headers\n   \n   - `/home/ccuser/rateright-growth/src/services/templates.js` (97 lines)\n     - SMS template service. Exports: getTemplate, getAllTemplates, renderTemplate, buildLeadVariables\n     - Clean, simple. Removes unmatched template variables (line 69).\n   \n   - `/home/ccuser/rateright-growth/src/services/slack.js` (1143 lines)\n     - Slack notification service. Exports: sendSlackMessage, sendInboundAlert, sendInboundCallAlert, sendMissedCallAlert, sendVoicemailAlert, sendCallbackReminder, sendDailySummary, sendConversionAlert, sendWeeklyReport, sendBugReport, sendContractorReferralAlert, sendWebsiteSignupAlert, sendDevQueueItem, sendDevQueueReady, isConfigured\n     - Rate limiting: 1 message/second (line 9)\n     - Uses SLACK_WEBHOOK_URL environment variable\n   \n   - `/home/ccuser/rateright-growth/src/services/xpService.js` (210 lines)\n     - XP award system. Exports: XP_AWARDS, LEVEL_NAMES, calculateLevel, awardXP, awardXPForCall, awardXPForSMS\n     - Race condition: read-then-update on user_xp (lines 65-118) - concurrent XP awards could lose data\n     - Tables: user_xp, xp_history\n\n   **Files NOT yet read (14 remaining):**\n   - wisdom.js, stageDiagnosis.js, stageCalculator.js\n   - twimlWithStream.js, qualityAudit.js, ai.js, notifications.js\n   - taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js\n   - enrichment.js, jobLocking.js, twilio.js, cache.js\n\n4. Errors and fixes:\n   - Initial attempt to read `.cc-local/MEMORY.md` failed with \"File does not exist\" error. The sibling tool calls also errored due to the cascade. Fixed by re-running the `ls` command separately.\n\n5. Problem Solving:\n   - Organized the 44-file audit into batches of 4 files read in parallel to maximize efficiency\n   - Created a todo list to track progress through the batches\n   - Reading phase is approximately 68% complete (30 of 44 files read)\n   - The actual audit report has NOT been written yet - still in data gathering phase\n\n6. All user messages:\n   - \"Read EVERY file in /home/ccuser/rateright-growth/src/services/ and provide a detailed audit. For each file report: 1. What functions it exports and their purpose 2. Bug risks — race conditions, unhandled promises, logic errors 3. Error handling — are errors caught properly? Are they swallowed silently? 4. Dead code — unused exports, commented-out code, stale functions 5. Security issues — API key exposure, SQL injection, unsafe string interpolation in queries 6. External API calls — what third-party services are used? Are responses validated? 7. Database queries — what tables are accessed? Any raw SQL injection risks? The files to read are: - challengesServiceV2.js, aiCallScoring.js, activationAI.js, challengesService.js - badgesService.js, callListRanker.js, callAnalytics.js, promptManagement.js - learning.js, duelsService.js, dealIntelligence.js, selfImprovement.js - platformSync.js, perplexity.js, repPerformance.js, compliance.js - openai.js, criticalAlerts.js, leaderboardService.js, deepgram.js - scoring.js, pushNotifications.js, weeklyIntelligence.js - twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js - xpService.js, wisdom.js, stageDiagnosis.js, stageCalculator.js - twimlWithStream.js, qualityAudit.js, ai.js, notifications.js - taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js - enrichment.js, jobLocking.js, twilio.js, cache.js Be thorough and brutal. Report EVERYTHING with specific line numbers and code snippets.\"\n\n7. Pending Tasks:\n   - Read remaining 14 files: wisdom.js, stageDiagnosis.js, stageCalculator.js, twimlWithStream.js, qualityAudit.js, ai.js, notifications.js, taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js, enrichment.js, jobLocking.js, twilio.js, cache.js\n   - Compile the comprehensive audit report covering all 7 dimensions for all 44 files with specific line numbers and code snippets\n\n8. Current Work:\n   I was in the middle of reading service files in batches. The last batch read included twilioMedia.js, twilioMediaSetup.js, templates.js, slack.js, and xpService.js. The todo list shows batches 1-6 completed, batch 7 partially completed (twilioMedia, twilioMediaSetup, templates, slack read; plus xpService from batch 8 was read). Remaining files to read are in batches 8-11 per the todo list:\n   - Batch 8: wisdom.js, stageDiagnosis.js, stageCalculator.js (xpService already read)\n   - Batch 9: twimlWithStream.js, qualityAudit.js, ai.js, notifications.js\n   - Batch 10: taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js\n   - Batch 11: enrichment.js, jobLocking.js, twilio.js, cache.js\n   - Final step: Compile comprehensive audit report\n\n9. Optional Next Step:\n   Continue reading the remaining 14 unread files (wisdom.js, stageDiagnosis.js, stageCalculator.js, twimlWithStream.js, qualityAudit.js, ai.js, notifications.js, taskExecutor.js, taskParser.js, exportService.js, webhookDelivery.js, enrichment.js, jobLocking.js, twilio.js, cache.js), then compile the full audit report with specific line numbers and code snippets as the user requested: \"Be thorough and brutal. Report EVERYTHING with specific line numbers and code snippets.\"\n\nIf you need specific details from before compaction (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/ccuser/.claude/projects/-home-ccuser-rateright-growth/6138a2b4-4fed-4a8e-841b-ea0e29be8b8c.jsonl\nPlease continue the conversation from where we left it off without asking the user any further questions. Continue with the last task that you were asked to work on."},"isVisibleInTranscriptOnly":true,"isCompactSummary":true,"uuid":"8f54e012-e477-4b91-8760-e3cd875e7f9e","timestamp":"2026-02-07T05:54:51.012Z"}
{"parentUuid":"8f54e012-e477-4b91-8760-e3cd875e7f9e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01KcfAFCpkgPtfbux7nzbBkk","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll continue reading the remaining unread files and then compile the full audit report. Let me read all remaining files now."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":23055,"cache_read_input_tokens":10406,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23055},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtC3VNCzCiwTtfqQtrTf","type":"assistant","uuid":"7e477d2d-2d5c-4d4b-86bb-9964dd2e8d71","timestamp":"2026-02-07T05:54:53.421Z"}
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{"parentUuid":"3653eb2a-3a86-4056-8b56-2310484575f6","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MCEF15AqjGckei9Gd6PGvP","type":"tool_result","content":"     1→/**\n     2→ * Contextual AI Wisdom Service\n     3→ * Generates situation-specific coaching based on user's current state\n     4→ */\n     5→\n     6→const OpenAI = require('openai');\n     7→const { supabase } = require('../config/database');\n     8→const logger = require('../utils/logger');\n     9→\n    10→// Initialize OpenAI client\n    11→let openai = null;\n    12→if (process.env.OPENAI_API_KEY) {\n    13→  openai = new OpenAI({\n    14→    apiKey: process.env.OPENAI_API_KEY,\n    15→  });\n    16→}\n    17→\n    18→// In-memory cache for wisdom (per user per trigger)\n    19→const wisdomCache = new Map();\n    20→const CACHE_TTL = 2 * 60 * 60 * 1000; // 2 hours\n    21→\n    22→// Day names\n    23→const DAY_NAMES = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'];\n    24→\n    25→/**\n    26→ * Get current time of day\n    27→ */\n    28→function getTimeOfDay(hour) {\n    29→  if (hour >= 6 && hour < 10) return 'morning';\n    30→  if (hour >= 10 && hour < 14) return 'midday';\n    31→  if (hour >= 14 && hour < 18) return 'afternoon';\n    32→  return 'evening';\n    33→}\n    34→\n    35→/**\n    36→ * Analyze dashboard data and build context object\n    37→ */\n    38→function analyzeContext(dashboardData) {\n    39→  const now = new Date();\n    40→  // Approximate AEST (UTC+10)\n    41→  const aestHour = (now.getUTCHours() + 10) % 24;\n    42→  const dayOfWeek = now.getDay();\n    43→\n    44→  const context = {\n    45→    // Time context\n    46→    hour: aestHour,\n    47→    dayOfWeek,\n    48→    dayName: DAY_NAMES[dayOfWeek],\n    49→    timeOfDay: getTimeOfDay(aestHour),\n    50→    timestamp: Date.now(),\n    51→\n    52→    // Activity context\n    53→    callsToday: dashboardData.stats?.callsToday || 0,\n    54→    callTarget: dashboardData.mission?.callTarget || 15,\n    55→    callsToTarget: dashboardData.mission?.callsToTarget || 15,\n    56→    percentToTarget: ((dashboardData.stats?.callsToday || 0) / (dashboardData.mission?.callTarget || 15)) * 100,\n    57→\n    58→    // Streak context\n    59→    streak: dashboardData.stats?.streak || 0,\n    60→\n    61→    // Urgent context\n    62→    overdueCallbacks: dashboardData.urgent?.overdueCallbacks?.length || 0,\n    63→    hotLeadsStale: dashboardData.urgent?.hotLeadsStale?.length || 0,\n    64→    smsWaiting: dashboardData.notifications?.smsReplies?.length || 0,\n    65→\n    66→    // Wins context\n    67→    winsToday: dashboardData.stats?.winsToday || 0,\n    68→    winsThisWeek: dashboardData.stats?.winsThisWeek || 0,\n    69→\n    70→    // Leads context\n    71→    hotLeadsWaiting: dashboardData.mission?.hotLeadsWaiting || 0,\n    72→    totalLeadsWaiting: dashboardData.leadCounts?.total || 0,\n    73→  };\n    74→\n    75→  // Determine primary trigger\n    76→  context.trigger = determineTrigger(context);\n    77→\n    78→  return context;\n    79→}\n    80→\n    81→/**\n    82→ * Determine the primary context trigger based on situation\n    83→ * Priority order matters - most urgent/impactful first\n    84→ */\n    85→function determineTrigger(ctx) {\n    86→  // Post-win energy (highest priority if recent win today)\n    87→  if (ctx.winsToday > 0) {\n    88→    return 'post_win';\n    89→  }\n    90→\n    91→  // Broken streak (no activity, needs intervention)\n    92→  if (ctx.streak === 0 && ctx.callsToday === 0 && ctx.hour >= 12) {\n    93→    return 'streak_broken';\n    94→  }\n    95→\n    96→  // Overdue callbacks (people waiting)\n    97→  if (ctx.overdueCallbacks >= 2) {\n    98→    return 'overdue_callbacks';\n    99→  }\n   100→\n   101→  // SMS waiting (quick wins available)\n   102→  if (ctx.smsWaiting >= 2) {\n   103→    return 'sms_waiting';\n   104→  }\n   105→\n   106→  // Zero calls late in day (urgent)\n   107→  if (ctx.callsToday === 0 && ctx.hour >= 12) {\n   108→    return 'zero_calls';\n   109→  }\n   110→\n   111→  // Friday push\n   112→  if (ctx.dayOfWeek === 5 && ctx.hour >= 15) {\n   113→    return 'friday_push';\n   114→  }\n   115→\n   116→  // Monday start\n   117→  if (ctx.dayOfWeek === 1 && ctx.hour < 11) {\n   118→    return 'monday_start';\n   119→  }\n   120→\n   121→  // Behind target in afternoon\n   122→  if (ctx.hour >= 14 && ctx.percentToTarget < 50) {\n   123→    return 'behind_target';\n   124→  }\n   125→\n   126→  // Afternoon slump\n   127→  if (ctx.hour >= 14 && ctx.hour <= 16) {\n   128→    return 'afternoon_slump';\n   129→  }\n   130→\n   131→  // Hot leads going stale\n   132→  if (ctx.hotLeadsStale >= 3) {\n   133→    return 'hot_leads_stale';\n   134→  }\n   135→\n   136→  // Strong streak\n   137→  if (ctx.streak >= 5) {\n   138→    return 'streak_strong';\n   139→  }\n   140→\n   141→  // Crushing it\n   142→  if (ctx.callsToday >= ctx.callTarget && ctx.winsToday > 0) {\n   143→    return 'crushing_it';\n   144→  }\n   145→\n   146→  // Winning streak\n   147→  if (ctx.winsThisWeek >= 2) {\n   148→    return 'winning_streak';\n   149→  }\n   150→\n   151→  // End of day\n   152→  if (ctx.hour >= 17) {\n   153→    return 'end_of_day';\n   154→  }\n   155→\n   156→  // Default\n   157→  return 'general';\n   158→}\n   159→\n   160→/**\n   161→ * Check if context has changed significantly (warrants new wisdom)\n   162→ */\n   163→function hasContextChangedSignificantly(oldCtx, newCtx) {\n   164→  if (!oldCtx) return true;\n   165→\n   166→  // Trigger changed\n   167→  if (oldCtx.trigger !== newCtx.trigger) return true;\n   168→\n   169→  // Calls jumped by 3+\n   170→  if (Math.abs(newCtx.callsToday - oldCtx.callsToday) >= 3) return true;\n   171→\n   172→  // New win\n   173→  if (newCtx.winsToday > oldCtx.winsToday) return true;\n   174→\n   175→  // New overdue callback\n   176→  if (newCtx.overdueCallbacks > oldCtx.overdueCallbacks) return true;\n   177→\n   178→  // Time period changed\n   179→  if (newCtx.timeOfDay !== oldCtx.timeOfDay) return true;\n   180→\n   181→  // 2 hours elapsed\n   182→  if (Date.now() - oldCtx.timestamp > CACHE_TTL) return true;\n   183→\n   184→  return false;\n   185→}\n   186→\n   187→/**\n   188→ * Generate wisdom using OpenAI\n   189→ */\n   190→async function generateWisdomWithAI(context) {\n   191→  if (!openai) {\n   192→    return null;\n   193→  }\n   194→\n   195→  const prompt = `You're an elite sales coach for a construction industry rep in Australia.\n   196→\n   197→Their current situation:\n   198→- Time: ${context.timeOfDay} on ${context.dayName}\n   199→- Calls today: ${context.callsToday} / ${context.callTarget} target (${Math.round(context.percentToTarget)}% to target)\n   200→- Streak: ${context.streak} consecutive active days\n   201→- Overdue callbacks: ${context.overdueCallbacks} people waiting for a call back\n   202→- Hot leads going cold: ${context.hotLeadsStale} (not contacted in 48+ hours)\n   203→- SMS replies waiting: ${context.smsWaiting}\n   204→- Wins today: ${context.winsToday}, this week: ${context.winsThisWeek}\n   205→- Hot leads available: ${context.hotLeadsWaiting}\n   206→- Total leads waiting: ${context.totalLeadsWaiting}\n   207→\n   208→Primary situation: ${context.trigger}\n   209→\n   210→Generate ONE line of wisdom specific to their situation right now.\n   211→Not generic motivation. Speak directly to what they're facing.\n   212→Tone: Direct, wise, slightly tough love. Like a mentor who's been there.\n   213→No emojis. No fluff. Make it hit.\n   214→\n   215→Also provide a 2-3 sentence expansion that explains the concept deeper - something they'd want to read if they tapped for more.\n   216→\n   217→Return valid JSON only:\n   218→{\n   219→  \"message\": \"The one-liner wisdom\",\n   220→  \"expanded\": \"The deeper explanation (2-3 sentences)\"\n   221→}`;\n   222→\n   223→  try {\n   224→    const response = await openai.chat.completions.create({\n   225→      model: 'gpt-4o-mini',\n   226→      messages: [{ role: 'user', content: prompt }],\n   227→      temperature: 0.8,\n   228→      max_tokens: 300,\n   229→      response_format: { type: 'json_object' },\n   230→    });\n   231→\n   232→    const result = JSON.parse(response.choices[0].message.content);\n   233→    return {\n   234→      message: result.message,\n   235→      expanded: result.expanded,\n   236→      source: 'ai',\n   237→    };\n   238→  } catch (error) {\n   239→    logger.error('Failed to generate wisdom with AI', { error: error.message });\n   240→    return null;\n   241→  }\n   242→}\n   243→\n   244→/**\n   245→ * Get a curated fallback wisdom for the given trigger\n   246→ */\n   247→async function getCuratedWisdom(trigger, excludeIds = []) {\n   248→  if (!supabase) {\n   249→    // Return hardcoded fallback if no database\n   250→    return {\n   251→      id: 'fallback',\n   252→      message: \"The money's in the follow-up. Always has been.\",\n   253→      expanded: \"Most deals don't close on the first call. They close on the fifth, the eighth, the twelfth. The rep who follows up wins.\",\n   254→      context_trigger: 'general',\n   255→      source: 'curated',\n   256→    };\n   257→  }\n   258→\n   259→  try {\n   260→    let query = supabase\n   261→      .from('wisdom')\n   262→      .select('*')\n   263→      .eq('context_trigger', trigger)\n   264→      .eq('source', 'curated');\n   265→\n   266→    if (excludeIds.length > 0) {\n   267→      query = query.not('id', 'in', `(${excludeIds.join(',')})`);\n   268→    }\n   269→\n   270→    const { data, error } = await query.limit(10);\n   271→\n   272→    if (error || !data || data.length === 0) {\n   273→      // Fallback to general if no matches for trigger\n   274→      const { data: generalData } = await supabase\n   275→        .from('wisdom')\n   276→        .select('*')\n   277→        .eq('context_trigger', 'general')\n   278→        .eq('source', 'curated')\n   279→        .limit(5);\n   280→\n   281→      if (generalData && generalData.length > 0) {\n   282→        return generalData[Math.floor(Math.random() * generalData.length)];\n   283→      }\n   284→\n   285→      // Ultimate fallback\n   286→      return {\n   287→        id: 'fallback',\n   288→        message: \"The money's in the follow-up. Always has been.\",\n   289→        expanded: \"Most deals don't close on the first call. The rep who follows up wins.\",\n   290→        context_trigger: 'general',\n   291→        source: 'curated',\n   292→      };\n   293→    }\n   294→\n   295→    // Random selection from matching wisdoms\n   296→    return data[Math.floor(Math.random() * data.length)];\n   297→  } catch (error) {\n   298→    logger.error('Failed to get curated wisdom', { error: error.message });\n   299→    return {\n   300→      id: 'fallback',\n   301→      message: \"The money's in the follow-up. Always has been.\",\n   302→      expanded: \"Most deals don't close on the first call. The rep who follows up wins.\",\n   303→      context_trigger: 'general',\n   304→      source: 'curated',\n   305→    };\n   306→  }\n   307→}\n   308→\n   309→/**\n   310→ * Save AI-generated wisdom to database for future reuse\n   311→ */\n   312→async function saveWisdom(wisdom, trigger) {\n   313→  if (!supabase || wisdom.source !== 'ai') return;\n   314→\n   315→  try {\n   316→    await supabase.from('wisdom').insert({\n   317→      message: wisdom.message,\n   318→      expanded: wisdom.expanded,\n   319→      context_trigger: trigger,\n   320→      source: 'ai',\n   321→    });\n   322→  } catch (error) {\n   323→    logger.error('Failed to save wisdom', { error: error.message });\n   324→  }\n   325→}\n   326→\n   327→/**\n   328→ * Record that wisdom was shown to a user\n   329→ */\n   330→async function recordWisdomShown(userId, wisdomId, context) {\n   331→  if (!supabase || !userId || !wisdomId || wisdomId === 'fallback') return;\n   332→\n   333→  try {\n   334→    await supabase.from('wisdom_shown').insert({\n   335→      user_id: userId,\n   336→      wisdom_id: wisdomId,\n   337→      context_snapshot: context,\n   338→    });\n   339→\n   340→    // Increment times_shown\n   341→    await supabase.rpc('increment_wisdom_shown', { wisdom_id: wisdomId });\n   342→  } catch (error) {\n   343→    // Non-critical, just log\n   344→    logger.warn('Failed to record wisdom shown', { error: error.message });\n   345→  }\n   346→}\n   347→\n   348→/**\n   349→ * Get recently shown wisdom IDs for a user (today)\n   350→ */\n   351→async function getRecentlyShownIds(userId) {\n   352→  if (!supabase || !userId) return [];\n   353→\n   354→  try {\n   355→    const today = new Date().toISOString().split('T')[0];\n   356→    const { data } = await supabase\n   357→      .from('wisdom_shown')\n   358→      .select('wisdom_id')\n   359→      .eq('user_id', userId)\n   360→      .gte('shown_at', `${today}T00:00:00Z`)\n   361→      .order('shown_at', { ascending: false })\n   362→      .limit(5);\n   363→\n   364→    return data?.map(d => d.wisdom_id) || [];\n   365→  } catch (error) {\n   366→    return [];\n   367→  }\n   368→}\n   369→\n   370→/**\n   371→ * Main function: Get wisdom for the current context\n   372→ */\n   373→async function getWisdom(dashboardData, userId = null) {\n   374→  const context = analyzeContext(dashboardData);\n   375→  const cacheKey = userId ? `${userId}:${context.trigger}` : context.trigger;\n   376→\n   377→  // Check cache\n   378→  const cached = wisdomCache.get(cacheKey);\n   379→  if (cached && !hasContextChangedSignificantly(cached.context, context)) {\n   380→    return {\n   381→      ...cached.wisdom,\n   382→      context_trigger: cached.context.trigger,\n   383→      cached: true,\n   384→    };\n   385→  }\n   386→\n   387→  // Get recently shown IDs to avoid repeats\n   388→  const excludeIds = await getRecentlyShownIds(userId);\n   389→\n   390→  // Try AI generation first\n   391→  let wisdom = await generateWisdomWithAI(context);\n   392→\n   393→  if (wisdom) {\n   394→    // Save AI wisdom to database for future use\n   395→    const savedResult = await saveWisdomToDb(wisdom, context.trigger);\n   396→    wisdom.id = savedResult?.id || null;\n   397→  } else {\n   398→    // Fallback to curated\n   399→    wisdom = await getCuratedWisdom(context.trigger, excludeIds);\n   400→  }\n   401→\n   402→  // Cache the result\n   403→  wisdomCache.set(cacheKey, {\n   404→    wisdom,\n   405→    context,\n   406→    timestamp: Date.now(),\n   407→  });\n   408→\n   409→  // Record that we showed this wisdom\n   410→  if (wisdom.id && userId) {\n   411→    await recordWisdomShown(userId, wisdom.id, context);\n   412→  }\n   413→\n   414→  return {\n   415→    message: wisdom.message,\n   416→    expanded: wisdom.expanded,\n   417→    context_trigger: context.trigger,\n   418→    wisdomId: wisdom.id || null,\n   419→    source: wisdom.source,\n   420→    cached: false,\n   421→  };\n   422→}\n   423→\n   424→/**\n   425→ * Save wisdom to database\n   426→ */\n   427→async function saveWisdomToDb(wisdom, trigger) {\n   428→  if (!supabase) return null;\n   429→\n   430→  try {\n   431→    const { data, error } = await supabase\n   432→      .from('wisdom')\n   433→      .insert({\n   434→        message: wisdom.message,\n   435→        expanded: wisdom.expanded,\n   436→        context_trigger: trigger,\n   437→        source: 'ai',\n   438→      })\n   439→      .select()\n   440→      .single();\n   441→\n   442→    if (error) throw error;\n   443→    return data;\n   444→  } catch (error) {\n   445→    logger.error('Failed to save wisdom to db', { error: error.message });\n   446→    return null;\n   447→  }\n   448→}\n   449→\n   450→/**\n   451→ * Rate a wisdom (thumbs up/down)\n   452→ */\n   453→async function rateWisdom(wisdomId, rating, userId) {\n   454→  if (!supabase || !wisdomId || wisdomId === 'fallback') {\n   455→    return { success: false, error: 'Invalid wisdom ID' };\n   456→  }\n   457→\n   458→  try {\n   459→    // Update the wisdom_shown record with rating\n   460→    await supabase\n   461→      .from('wisdom_shown')\n   462→      .update({ rating })\n   463→      .eq('user_id', userId)\n   464→      .eq('wisdom_id', wisdomId)\n   465→      .order('shown_at', { ascending: false })\n   466→      .limit(1);\n   467→\n   468→    // Increment thumbs_up or thumbs_down on wisdom\n   469→    const column = rating === 'up' ? 'thumbs_up' : 'thumbs_down';\n   470→    const { error } = await supabase.rpc('increment_wisdom_rating', {\n   471→      wisdom_id: wisdomId,\n   472→      rating_type: column,\n   473→    });\n   474→\n   475→    if (error) throw error;\n   476→\n   477→    return { success: true };\n   478→  } catch (error) {\n   479→    logger.error('Failed to rate wisdom', { error: error.message });\n   480→    return { success: false, error: error.message };\n   481→  }\n   482→}\n   483→\n   484→module.exports = {\n   485→  getWisdom,\n   486→  rateWisdom,\n   487→  analyzeContext,\n   488→  determineTrigger,\n   489→};\n   490→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e3950edd-9bdd-4a08-a05c-b4a08149b53e","timestamp":"2026-02-07T05:54:54.074Z","sourceToolAssistantUUID":"3653eb2a-3a86-4056-8b56-2310484575f6"}
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{"parentUuid":"ed2c0b43-790f-40a1-964a-cd3de2d91132","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RLFdW8VAkDK71oG9KoTsZf","type":"tool_result","content":"     1→/**\n     2→ * Stage Diagnosis Service\n     3→ * Detects patterns, generates scripts, and recommends actions for stuck leads\n     4→ */\n     5→\n     6→const { generateChatCompletion } = require('./openai');\n     7→const logger = require('../utils/logger');\n     8→\n     9→// Stage definitions\n    10→// Workers need Stripe to receive payments\n    11→const WORKER_STAGES = ['signed_up', 'profile_complete', 'stripe_ready', 'job_ready', 'applied', 'working', 'proven'];\n    12→// Contractors pay with credit/debit card (no Stripe onboarding)\n    13→const CONTRACTOR_STAGES = ['signed_up', 'profile_complete', 'job_posted', 'hired', 'active'];\n    14→\n    15→// Stage labels\n    16→const STAGE_LABELS = {\n    17→  signed_up: 'Signed Up',\n    18→  profile_complete: 'Profile Complete',\n    19→  job_ready: 'Job Ready',\n    20→  stripe_ready: 'Stripe Ready',\n    21→  job_posted: 'Job Posted',\n    22→  applied: 'Applied',\n    23→  working: 'Working',\n    24→  hired: 'Hired',\n    25→  proven: 'Proven',\n    26→  active: 'Active',\n    27→};\n    28→\n    29→// Common blockers by stage\n    30→const STAGE_BLOCKERS = {\n    31→  signed_up: {\n    32→    worker: ['Unsure how the platform works', 'Waiting to see job listings first', 'Profile feels like too much effort'],\n    33→    contractor: ['Unsure how the platform works', 'Just browsing options', 'Comparing with agencies'],\n    34→  },\n    35→  profile_complete: {\n    36→    worker: ['Hesitant about Stripe setup', 'Concerns about giving bank details', 'Waiting to see if worth it'],\n    37→    contractor: ['Not ready to post a job yet', 'Still evaluating platform', 'Waiting for a project to start'],\n    38→  },\n    39→  stripe_ready: {\n    40→    worker: ['Missing required documents (insurance, white card)', 'Unsure what documents needed', 'Procrastinating on upload'],\n    41→  },\n    42→  job_ready: {\n    43→    worker: ['Unsure how to search/apply', 'Waiting for \"perfect\" job', 'App navigation confusion', 'Location/travel concerns'],\n    44→  },\n    45→  job_posted: {\n    46→    contractor: ['Not getting applicants', 'Job posting needs improvement', 'Unsure how to evaluate workers', 'Price expectations mismatch'],\n    47→  },\n    48→  applied: {\n    49→    worker: ['Waiting to hear back', 'Unsure about follow-up etiquette', 'Applied to wrong jobs', 'Interview anxiety'],\n    50→  },\n    51→  hired: {\n    52→    contractor: ['Onboarding the worker', 'Payment process questions', 'Setting expectations', 'First job jitters'],\n    53→  },\n    54→  working: {\n    55→    worker: ['Job issues/disputes', 'Payment concerns', 'Looking for next job', 'Quality concerns'],\n    56→  },\n    57→};\n    58→\n    59→// Stage-specific actions\n    60→const STAGE_ACTIONS = {\n    61→  signed_up: {\n    62→    worker: { action: 'Help Complete Profile', sms: 'walk through profile setup' },\n    63→    contractor: { action: 'Help Complete Profile', sms: 'walk through profile setup' },\n    64→  },\n    65→  profile_complete: {\n    66→    worker: { action: 'Walk Through Stripe Setup', sms: 'guide through payment setup to get paid' },\n    67→    contractor: { action: 'Help Post First Job', sms: 'help post your first job' },\n    68→  },\n    69→  stripe_ready: {\n    70→    worker: { action: 'Explain Document Requirements', sms: 'explain what documents are needed' },\n    71→  },\n    72→  job_ready: {\n    73→    worker: { action: 'Help Find First Job', sms: 'show how to find and apply to jobs' },\n    74→  },\n    75→  job_posted: {\n    76→    contractor: { action: 'Check In On Applicants', sms: 'help review applicants' },\n    77→  },\n    78→  applied: {\n    79→    worker: { action: 'Follow Up On Applications', sms: 'check on application status' },\n    80→  },\n    81→  hired: {\n    82→    contractor: { action: 'Ensure First Job Success', sms: 'help with worker onboarding' },\n    83→  },\n    84→  working: {\n    85→    worker: { action: 'Check In On Job', sms: 'see how the job is going' },\n    86→  },\n    87→};\n    88→\n    89→/**\n    90→ * Get stages array for lead type\n    91→ */\n    92→function getStagesForType(leadType) {\n    93→  return leadType === 'worker' ? WORKER_STAGES : CONTRACTOR_STAGES;\n    94→}\n    95→\n    96→/**\n    97→ * Get stage index and progress percentage\n    98→ */\n    99→function getStageProgress(stage, leadType) {\n   100→  const stages = getStagesForType(leadType);\n   101→  const index = stages.indexOf(stage);\n   102→  if (index === -1) return { index: 0, percentage: 0, total: stages.length };\n   103→\n   104→  return {\n   105→    index,\n   106→    percentage: Math.round(((index + 1) / stages.length) * 100),\n   107→    total: stages.length,\n   108→    isComplete: index === stages.length - 1,\n   109→  };\n   110→}\n   111→\n   112→/**\n   113→ * Detect behavior pattern based on login data and stage tenure\n   114→ */\n   115→function detectPattern(platformData, daysInStage) {\n   116→  const daysSinceLogin = platformData?.last_login\n   117→    ? Math.floor((Date.now() - new Date(platformData.last_login).getTime()) / (1000 * 60 * 60 * 24))\n   118→    : null;\n   119→\n   120→  const loginCount30d = platformData?.login_count_30d || 0;\n   121→  const isStuck = daysInStage >= 7;\n   122→\n   123→  // Pattern: FORGOT - No recent login, low activity\n   124→  if (daysSinceLogin !== null && daysSinceLogin > 7 && loginCount30d < 3) {\n   125→    return {\n   126→      pattern: 'forgot',\n   127→      confidence: Math.min(0.95, 0.7 + (daysSinceLogin / 30) * 0.25),\n   128→      evidence: `No login for ${daysSinceLogin} days, only ${loginCount30d} logins in 30 days`,\n   129→      emoji: '😴',\n   130→      label: 'Likely Forgot',\n   131→      recommendation: 'Send friendly reminder SMS, then call if no response',\n   132→    };\n   133→  }\n   134→\n   135→  // Pattern: AVOIDING - Recent logins but no progress\n   136→  if (daysSinceLogin !== null && daysSinceLogin < 3 && isStuck) {\n   137→    return {\n   138→      pattern: 'avoiding',\n   139→      confidence: Math.min(0.9, 0.6 + (daysInStage / 20) * 0.3),\n   140→      evidence: `Logged in ${daysSinceLogin} days ago but stuck for ${daysInStage} days`,\n   141→      emoji: '🙈',\n   142→      label: 'Possibly Avoiding',\n   143→      recommendation: 'Call to understand blockers - there\\'s a specific concern',\n   144→    };\n   145→  }\n   146→\n   147→  // Pattern: CONFUSED - High activity but no progress\n   148→  if (loginCount30d > 5 && isStuck) {\n   149→    return {\n   150→      pattern: 'confused',\n   151→      confidence: 0.8,\n   152→      evidence: `${loginCount30d} logins in 30 days but stuck for ${daysInStage} days`,\n   153→      emoji: '🤔',\n   154→      label: 'Seems Confused',\n   155→      recommendation: 'Call to walk through the next step - they want to progress',\n   156→    };\n   157→  }\n   158→\n   159→  // Pattern: BLOCKED - Default/external blocker\n   160→  if (isStuck) {\n   161→    return {\n   162→      pattern: 'blocked',\n   163→      confidence: 0.7,\n   164→      evidence: `Stuck for ${daysInStage} days, unclear pattern`,\n   165→      emoji: '🚧',\n   166→      label: 'May Be Blocked',\n   167→      recommendation: 'Call to discover the specific blocker',\n   168→    };\n   169→  }\n   170→\n   171→  // Not stuck\n   172→  return {\n   173→    pattern: 'progressing',\n   174→    confidence: 0.9,\n   175→    evidence: `${daysInStage} days in stage, normal progression`,\n   176→    emoji: '✅',\n   177→    label: 'Progressing',\n   178→    recommendation: 'No action needed - check back if they stall',\n   179→  };\n   180→}\n   181→\n   182→/**\n   183→ * Get likely blocker for stage and lead type\n   184→ */\n   185→function getLikelyBlocker(stage, leadType, pattern) {\n   186→  const blockers = STAGE_BLOCKERS[stage]?.[leadType] || STAGE_BLOCKERS[stage]?.contractor || [];\n   187→\n   188→  // Weight blockers based on pattern\n   189→  if (pattern === 'forgot') {\n   190→    return blockers[0] || 'Lost track or got busy';\n   191→  }\n   192→  if (pattern === 'avoiding') {\n   193→    return blockers[1] || blockers[0] || 'Specific concern they haven\\'t voiced';\n   194→  }\n   195→  if (pattern === 'confused') {\n   196→    return blockers[2] || blockers[0] || 'Unclear on next steps';\n   197→  }\n   198→\n   199→  return blockers[0] || 'Unknown blocker';\n   200→}\n   201→\n   202→/**\n   203→ * Get recommended action for stage\n   204→ */\n   205→function getRecommendedAction(stage, leadType) {\n   206→  const actions = STAGE_ACTIONS[stage];\n   207→  if (!actions) {\n   208→    return { action: 'Check In', sms: 'see how things are going' };\n   209→  }\n   210→  return actions[leadType] || actions.contractor || actions.worker;\n   211→}\n   212→\n   213→/**\n   214→ * Generate personalized script using AI\n   215→ */\n   216→async function generateScript(lead, stage, pattern, blocker, leadType) {\n   217→  const stageLabel = STAGE_LABELS[stage] || stage;\n   218→  const action = getRecommendedAction(stage, leadType);\n   219→\n   220→  const prompt = `You are a sales coach for RateRight, Australia's worker marketplace.\n   221→\n   222→Generate a natural, conversational phone script for this situation:\n   223→\n   224→LEAD: ${lead.first_name} ${lead.last_name || ''}\n   225→COMPANY: ${lead.company || 'Unknown'}\n   226→TYPE: ${leadType} (${leadType === 'worker' ? 'looking for work' : 'looking to hire workers'})\n   227→CURRENT STAGE: ${stageLabel}\n   228→DAYS STUCK: ${lead.daysInStage || 0}\n   229→PATTERN: ${pattern.label} - ${pattern.evidence}\n   230→LIKELY BLOCKER: ${blocker}\n   231→\n   232→RATERIGHT VALUE PROPS:\n   233→- Direct connection (no agency middleman)\n   234→- 9.9% fee vs 30-40% agency margins\n   235→- Same-day matching for urgent jobs\n   236→- Rating system for reliability\n   237→- No lock-in contracts\n   238→\n   239→Generate a brief, natural opening line and 2-3 key talking points.\n   240→The goal is to ${action.action.toLowerCase()}.\n   241→\n   242→Respond in JSON:\n   243→{\n   244→  \"opening\": \"Natural opening line (15-25 words, sounds human not scripted)\",\n   245→  \"talkingPoints\": [\"Point 1\", \"Point 2\", \"Point 3\"],\n   246→  \"objectionHandler\": \"If they push back, say this...\",\n   247→  \"closeAction\": \"Specific ask to end the call\"\n   248→}`;\n   249→\n   250→  try {\n   251→    const result = await generateChatCompletion([{ role: 'user', content: prompt }], {\n   252→      model: 'gpt-4o-mini',\n   253→      temperature: 0.7,\n   254→      response_format: { type: 'json_object' },\n   255→    });\n   256→\n   257→    return JSON.parse(result);\n   258→  } catch (error) {\n   259→    logger.error('Failed to generate script', { error: error.message });\n   260→\n   261→    // Fallback script\n   262→    return {\n   263→      opening: `Hey ${lead.first_name}, it's [Name] from RateRight. Got a quick minute?`,\n   264→      talkingPoints: [\n   265→        `I noticed you signed up but haven't ${action.sms} yet`,\n   266→        'Is there anything holding you back? Happy to help',\n   267→        'Most people find it takes just a few minutes once they start',\n   268→      ],\n   269→      objectionHandler: 'Totally understand. Would it help if I walked you through it right now?',\n   270→      closeAction: `Let's ${action.sms} together - I'll stay on the line`,\n   271→    };\n   272→  }\n   273→}\n   274→\n   275→/**\n   276→ * Generate SMS template for the stage\n   277→ */\n   278→function generateSMSTemplate(lead, stage, pattern, leadType) {\n   279→  const firstName = lead.first_name || 'there';\n   280→  const action = getRecommendedAction(stage, leadType);\n   281→\n   282→  const templates = {\n   283→    forgot: `Hi ${firstName}! Just checking in from RateRight. Need any help getting set up? Happy to ${action.sms} if useful!`,\n   284→    avoiding: `Hey ${firstName}, noticed you've been checking out RateRight. Any questions I can answer? Sometimes a quick chat helps.`,\n   285→    confused: `Hi ${firstName}! Saw you've been active on RateRight. Want me to ${action.sms}? Takes 2 mins on a call.`,\n   286→    blocked: `Hey ${firstName}, following up from RateRight. Is there anything blocking you from moving forward? Here to help!`,\n   287→    progressing: `Hi ${firstName}! Just a quick check-in. How's everything going with RateRight?`,\n   288→  };\n   289→\n   290→  return templates[pattern.pattern] || templates.progressing;\n   291→}\n   292→\n   293→/**\n   294→ * Main diagnosis function\n   295→ */\n   296→async function diagnose(lead, platformData, communications = []) {\n   297→  const leadType = lead.metadata?.lead_type || 'contractor';\n   298→  const stage = lead.platform_stage || 'signed_up';\n   299→  const daysInStage = lead.daysInStage || 0;\n   300→\n   301→  // Detect pattern\n   302→  const pattern = detectPattern(platformData, daysInStage);\n   303→\n   304→  // Get likely blocker\n   305→  const blocker = getLikelyBlocker(stage, leadType, pattern.pattern);\n   306→\n   307→  // Get recommended action\n   308→  const action = getRecommendedAction(stage, leadType);\n   309→\n   310→  // Generate personalized script\n   311→  const script = await generateScript(\n   312→    { ...lead, daysInStage },\n   313→    stage,\n   314→    pattern,\n   315→    blocker,\n   316→    leadType\n   317→  );\n   318→\n   319→  // Generate SMS template\n   320→  const smsTemplate = generateSMSTemplate(lead, stage, pattern, leadType);\n   321→\n   322→  // Get stage progress\n   323→  const progress = getStageProgress(stage, leadType);\n   324→\n   325→  return {\n   326→    // Pattern info\n   327→    pattern: pattern.pattern,\n   328→    patternLabel: pattern.label,\n   329→    patternEmoji: pattern.emoji,\n   330→    patternConfidence: pattern.confidence,\n   331→    patternEvidence: pattern.evidence,\n   332→    patternRecommendation: pattern.recommendation,\n   333→\n   334→    // Blocker info\n   335→    likelyBlocker: blocker,\n   336→\n   337→    // Script\n   338→    script: script.opening,\n   339→    talkingPoints: script.talkingPoints,\n   340→    objectionHandler: script.objectionHandler,\n   341→    closeAction: script.closeAction,\n   342→\n   343→    // SMS\n   344→    smsTemplate,\n   345→\n   346→    // Recommended action\n   347→    recommendedAction: pattern.pattern === 'forgot' ? 'sms' : 'call',\n   348→    actionLabel: action.action,\n   349→    actionDescription: action.sms,\n   350→\n   351→    // Stage progress\n   352→    stageProgress: progress,\n   353→    stages: getStagesForType(leadType).map((s, i) => ({\n   354→      stage: s,\n   355→      label: STAGE_LABELS[s],\n   356→      status: i < progress.index ? 'completed' : i === progress.index ? 'current' : 'pending',\n   357→    })),\n   358→  };\n   359→}\n   360→\n   361→/**\n   362→ * Get stage context for Intel Brief\n   363→ */\n   364→function getStageContext(stage, leadType) {\n   365→  const stageLabel = STAGE_LABELS[stage] || stage;\n   366→  const blockers = STAGE_BLOCKERS[stage]?.[leadType] || STAGE_BLOCKERS[stage]?.contractor || [];\n   367→  const action = getRecommendedAction(stage, leadType);\n   368→\n   369→  return {\n   370→    stageMeaning: getStageDescription(stage, leadType),\n   371→    commonBlockers: blockers,\n   372→    nextAction: action.action,\n   373→    nextActionDetail: action.sms,\n   374→  };\n   375→}\n   376→\n   377→/**\n   378→ * Get description of what stage means\n   379→ */\n   380→function getStageDescription(stage, leadType) {\n   381→  const descriptions = {\n   382→    signed_up: {\n   383→      worker: 'They\\'ve created an account but haven\\'t completed their profile yet.',\n   384→      contractor: 'They\\'ve created an account but haven\\'t completed their profile yet.',\n   385→    },\n   386→    profile_complete: {\n   387→      worker: 'Profile is done but they\\'re missing required documents (insurance/white card).',\n   388→      contractor: 'Profile is done but they haven\\'t connected Stripe for payments.',\n   389→    },\n   390→    stripe_ready: {\n   391→      contractor: 'Stripe is set up but they haven\\'t posted their first job yet.',\n   392→    },\n   393→    job_ready: {\n   394→      worker: 'They have all documents and are ready to work, but haven\\'t applied to any jobs.',\n   395→    },\n   396→    job_posted: {\n   397→      contractor: 'They\\'ve posted a job and are waiting for applicants or reviewing candidates.',\n   398→    },\n   399→    applied: {\n   400→      worker: 'They\\'ve applied to jobs and are waiting to hear back.',\n   401→    },\n   402→    hired: {\n   403→      contractor: 'They\\'ve hired a worker and are starting their first job.',\n   404→    },\n   405→    working: {\n   406→      worker: 'They\\'re currently working a job.',\n   407→    },\n   408→    proven: {\n   409→      worker: 'They\\'ve completed jobs and have reviews - a proven reliable worker.',\n   410→    },\n   411→    active: {\n   412→      contractor: 'They\\'ve completed jobs successfully - an active platform user.',\n   413→    },\n   414→  };\n   415→\n   416→  return descriptions[stage]?.[leadType] || descriptions[stage]?.contractor || 'Unknown stage';\n   417→}\n   418→\n   419→module.exports = {\n   420→  diagnose,\n   421→  detectPattern,\n   422→  getStageProgress,\n   423→  getStageContext,\n   424→  getStagesForType,\n   425→  getLikelyBlocker,\n   426→  getRecommendedAction,\n   427→  generateSMSTemplate,\n   428→  WORKER_STAGES,\n   429→  CONTRACTOR_STAGES,\n   430→  STAGE_LABELS,\n   431→  STAGE_BLOCKERS,\n   432→  STAGE_ACTIONS,\n   433→};\n   434→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d79c3d76-19ae-4001-90e3-912bf2f50496","timestamp":"2026-02-07T05:54:54.479Z","sourceToolAssistantUUID":"ed2c0b43-790f-40a1-964a-cd3de2d91132"}
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{"parentUuid":"f68b9642-3d6f-42df-8d62-eb731f1ea005","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BdpCkeWAqpiSgjrs8CKysu","type":"tool_result","content":"     1→/**\n     2→ * Stage Calculator Service\n     3→ * Calculates lifecycle stages for workers and contractors based on platform data\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→const logger = require('../utils/logger');\n     8→\n     9→// Worker stages in order of progression\n    10→// Workers need Stripe to receive payments\n    11→const WORKER_STAGES = [\n    12→  'not_signed_up',\n    13→  'signed_up',\n    14→  'profile_complete',\n    15→  'stripe_ready',    // Workers need Stripe to get paid\n    16→  'job_ready',\n    17→  'applied',\n    18→  'working',\n    19→  'proven'\n    20→];\n    21→\n    22→// Contractor stages in order of progression\n    23→// Contractors just pay with credit/debit card (no Stripe onboarding)\n    24→const CONTRACTOR_STAGES = [\n    25→  'not_signed_up',\n    26→  'signed_up',\n    27→  'profile_complete',\n    28→  'job_posted',\n    29→  'hired',\n    30→  'active'\n    31→];\n    32→\n    33→// Stage display names\n    34→const STAGE_LABELS = {\n    35→  not_signed_up: 'Not Signed Up',\n    36→  signed_up: 'Signed Up',\n    37→  profile_complete: 'Profile Complete',\n    38→  job_ready: 'Job Ready',\n    39→  applied: 'Applied',\n    40→  working: 'Working',\n    41→  proven: 'Proven',\n    42→  stripe_ready: 'Stripe Ready',\n    43→  job_posted: 'Job Posted',\n    44→  hired: 'Hired',\n    45→  active: 'Active'\n    46→};\n    47→\n    48→/**\n    49→ * Calculate worker lifecycle stage\n    50→ * Workers need Stripe to receive payments for their work\n    51→ * @param {object} platformData - All 35 fields from platform API\n    52→ * @param {array} contracts - User's contracts from platform API\n    53→ * @returns {string} Stage name\n    54→ */\n    55→function calculateWorkerStage(platformData, contracts = []) {\n    56→  if (!platformData) {\n    57→    return 'not_signed_up';\n    58→  }\n    59→\n    60→  // Check for proven (highest stage)\n    61→  if (platformData.jobs_completed > 0 && platformData.total_reviews > 0) {\n    62→    return 'proven';\n    63→  }\n    64→\n    65→  // Check for working (has active contract)\n    66→  const activeContracts = contracts.filter(c =>\n    67→    c.status === 'active' || c.status === 'in_progress'\n    68→  );\n    69→  if (activeContracts.length > 0) {\n    70→    return 'working';\n    71→  }\n    72→\n    73→  // Check for applied (has any contracts, even completed)\n    74→  if (contracts.length > 0 || platformData.jobs_completed > 0) {\n    75→    return 'applied';\n    76→  }\n    77→\n    78→  // Check for job_ready (has insurance or white card AND Stripe ready)\n    79→  const hasInsurance = platformData.public_liability_insurance ||\n    80→                       platformData.workers_comp_insurance;\n    81→  const hasWhiteCard = platformData.white_card_number &&\n    82→                       platformData.white_card_expiry;\n    83→  if ((hasInsurance || hasWhiteCard) && platformData.stripe_onboarding_complete) {\n    84→    return 'job_ready';\n    85→  }\n    86→\n    87→  // Check for stripe_ready (Stripe set up but no docs yet)\n    88→  if (platformData.stripe_onboarding_complete) {\n    89→    return 'stripe_ready';\n    90→  }\n    91→\n    92→  // Check for profile_complete (has primary trade)\n    93→  if (platformData.primary_trade) {\n    94→    return 'profile_complete';\n    95→  }\n    96→\n    97→  // Has account but not complete\n    98→  return 'signed_up';\n    99→}\n   100→\n   101→/**\n   102→ * Calculate contractor lifecycle stage\n   103→ * Contractors pay with credit/debit card - no Stripe onboarding needed\n   104→ * @param {object} platformData - All 35 fields from platform API\n   105→ * @param {array} jobs - User's jobs from platform API\n   106→ * @param {array} contracts - User's contracts from platform API\n   107→ * @returns {string} Stage name\n   108→ */\n   109→function calculateContractorStage(platformData, jobs = [], contracts = []) {\n   110→  if (!platformData) {\n   111→    return 'not_signed_up';\n   112→  }\n   113→\n   114→  // Check for active (has completed jobs)\n   115→  if (platformData.jobs_completed > 0) {\n   116→    return 'active';\n   117→  }\n   118→\n   119→  // Check for hired (has ANY contracts - means they've hired someone)\n   120→  // Be lenient with status - any contract means they've hired\n   121→  if (contracts.length > 0) {\n   122→    return 'hired';\n   123→  }\n   124→\n   125→  // Check for job_posted (has ANY jobs)\n   126→  // Be lenient - any job means they've posted\n   127→  if (jobs.length > 0) {\n   128→    return 'job_posted';\n   129→  }\n   130→\n   131→  // Check for profile_complete (has company or ABN)\n   132→  // No Stripe needed - contractors pay with card\n   133→  if (platformData.business_name || platformData.abn_number || platformData.company) {\n   134→    return 'profile_complete';\n   135→  }\n   136→\n   137→  // Has account but not complete\n   138→  return 'signed_up';\n   139→}\n   140→\n   141→/**\n   142→ * Calculate health score (0-100)\n   143→ * @param {object} platformData - Platform API data\n   144→ * @returns {number} Health score\n   145→ */\n   146→function calculateHealthScore(platformData) {\n   147→  if (!platformData) return 0;\n   148→\n   149→  let score = 0;\n   150→\n   151→  // Recency (40 points max)\n   152→  if (platformData.last_login) {\n   153→    const lastLogin = new Date(platformData.last_login);\n   154→    const daysSince = Math.floor((Date.now() - lastLogin.getTime()) / (1000 * 60 * 60 * 24));\n   155→\n   156→    if (daysSince <= 1) score += 40;\n   157→    else if (daysSince <= 7) score += 30;\n   158→    else if (daysSince <= 30) score += 15;\n   159→    else if (daysSince <= 90) score += 5;\n   160→  }\n   161→\n   162→  // Activity (30 points max)\n   163→  const jobsCompleted = platformData.jobs_completed || 0;\n   164→  score += Math.min(jobsCompleted * 10, 30);\n   165→\n   166→  // Payment readiness (20 points max)\n   167→  if (platformData.stripe_onboarding_complete) score += 10;\n   168→  if (platformData.stripe_payouts_enabled) score += 10;\n   169→\n   170→  // Engagement (10 points max)\n   171→  const responseRate = platformData.response_rate || 0;\n   172→  score += Math.min(Math.floor(responseRate / 10), 10);\n   173→\n   174→  return Math.min(score, 100);\n   175→}\n   176→\n   177→/**\n   178→ * Get stage index for comparison\n   179→ */\n   180→function getStageIndex(stage, isWorker) {\n   181→  const stages = isWorker ? WORKER_STAGES : CONTRACTOR_STAGES;\n   182→  return stages.indexOf(stage);\n   183→}\n   184→\n   185→/**\n   186→ * Check if stage has progressed\n   187→ */\n   188→function hasStageProgressed(oldStage, newStage, isWorker) {\n   189→  const oldIndex = getStageIndex(oldStage, isWorker);\n   190→  const newIndex = getStageIndex(newStage, isWorker);\n   191→  return newIndex > oldIndex;\n   192→}\n   193→\n   194→/**\n   195→ * Log stage transition to database and trigger auto-enrollment\n   196→ */\n   197→async function logStageTransition(leadId, fromStage, toStage, triggeredBy = 'platform_sync', metadata = {}) {\n   198→  if (!supabase) return;\n   199→\n   200→  try {\n   201→    await supabase\n   202→      .from('stage_transitions')\n   203→      .insert({\n   204→        lead_id: leadId,\n   205→        from_stage: fromStage,\n   206→        to_stage: toStage,\n   207→        triggered_by: triggeredBy,\n   208→        metadata\n   209→      });\n   210→\n   211→    logger.info('Stage transition logged', { leadId, fromStage, toStage });\n   212→\n   213→    // Trigger auto-enrollment in stage-appropriate sequence\n   214→    await handleSequenceAutoEnrollment(leadId, fromStage, toStage, metadata.lead_type);\n   215→\n   216→  } catch (error) {\n   217→    logger.error('Failed to log stage transition', { error: error.message, leadId });\n   218→  }\n   219→}\n   220→\n   221→/**\n   222→ * Handle auto-enrollment when stage changes\n   223→ * - Pauses any active enrollments for old stage\n   224→ * - Enrolls in sequence for new stage (if exists)\n   225→ * - Respects lead's sequence_opted_out flag\n   226→ */\n   227→async function handleSequenceAutoEnrollment(leadId, fromStage, toStage, leadType) {\n   228→  if (!supabase) return;\n   229→\n   230→  try {\n   231→    // 1. Check if lead has opted out of sequences\n   232→    const { data: lead, error: leadError } = await supabase\n   233→      .from('leads')\n   234→      .select('id, type, sequence_opted_out')\n   235→      .eq('id', leadId)\n   236→      .single();\n   237→\n   238→    if (leadError || !lead) {\n   239→      logger.warn('Lead not found for sequence enrollment', { leadId });\n   240→      return;\n   241→    }\n   242→\n   243→    if (lead.sequence_opted_out) {\n   244→      logger.info('Lead opted out of sequences', { leadId });\n   245→      return;\n   246→    }\n   247→\n   248→    // Determine lead type from lead data if not provided\n   249→    const actualLeadType = leadType || lead.type || 'worker';\n   250→\n   251→    // 2. Pause any active enrollments (stage changed means old sequence is no longer relevant)\n   252→    const { data: activeEnrollments, error: enrollError } = await supabase\n   253→      .from('sequence_enrollments')\n   254→      .select('id, sequence:sequences(stage)')\n   255→      .eq('lead_id', leadId)\n   256→      .eq('status', 'active');\n   257→\n   258→    if (!enrollError && activeEnrollments?.length > 0) {\n   259→      await supabase\n   260→        .from('sequence_enrollments')\n   261→        .update({\n   262→          status: 'paused',\n   263→          pause_reason: 'stage_changed',\n   264→          paused_at: new Date().toISOString()\n   265→        })\n   266→        .eq('lead_id', leadId)\n   267→        .eq('status', 'active');\n   268→\n   269→      logger.info('Paused active enrollments due to stage change', {\n   270→        leadId,\n   271→        count: activeEnrollments.length\n   272→      });\n   273→    }\n   274→\n   275→    // 3. Find sequence for new stage + lead type\n   276→    const { data: sequence, error: seqError } = await supabase\n   277→      .from('sequences')\n   278→      .select('id, name')\n   279→      .eq('stage', toStage)\n   280→      .eq('lead_type', actualLeadType)\n   281→      .eq('is_active', true)\n   282→      .single();\n   283→\n   284→    if (seqError || !sequence) {\n   285→      // No sequence for this stage - that's fine, not all stages have sequences\n   286→      logger.debug('No sequence found for stage', { toStage, leadType: actualLeadType });\n   287→      return;\n   288→    }\n   289→\n   290→    // 4. Check if already enrolled in this sequence recently (within 30 days)\n   291→    const thirtyDaysAgo = new Date();\n   292→    thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);\n   293→\n   294→    const { data: existingEnrollment } = await supabase\n   295→      .from('sequence_enrollments')\n   296→      .select('id')\n   297→      .eq('sequence_id', sequence.id)\n   298→      .eq('lead_id', leadId)\n   299→      .or(`status.eq.active,enrolled_at.gte.${thirtyDaysAgo.toISOString()}`)\n   300→      .limit(1);\n   301→\n   302→    if (existingEnrollment?.length > 0) {\n   303→      logger.debug('Lead already enrolled in sequence recently', { leadId, sequenceId: sequence.id });\n   304→      return;\n   305→    }\n   306→\n   307→    // 5. Get first step to calculate initial next_step_at\n   308→    const { data: firstStep } = await supabase\n   309→      .from('sequence_steps')\n   310→      .select('delay_hours, delay_days_min, delay_days_max, send_window')\n   311→      .eq('sequence_id', sequence.id)\n   312→      .order('step_order', { ascending: true })\n   313→      .limit(1)\n   314→      .single();\n   315→\n   316→    // Calculate initial delay (for first step, usually 0 or small delay)\n   317→    let nextStepAt = new Date();\n   318→    if (firstStep) {\n   319→      // Use v2 timing if available, else v1\n   320→      const delayDays = (firstStep.delay_days_min || firstStep.delay_days_max)\n   321→        ? Math.floor((firstStep.delay_days_min + firstStep.delay_days_max) / 2)\n   322→        : Math.floor((firstStep.delay_hours || 0) / 24);\n   323→      nextStepAt.setDate(nextStepAt.getDate() + delayDays);\n   324→    }\n   325→\n   326→    // 6. Create enrollment\n   327→    const { error: insertError } = await supabase\n   328→      .from('sequence_enrollments')\n   329→      .insert({\n   330→        sequence_id: sequence.id,\n   331→        lead_id: leadId,\n   332→        current_step: 0,\n   333→        status: 'active',\n   334→        enrollment_source: 'stage_change',\n   335→        enrolled_at: new Date().toISOString(),\n   336→        next_step_at: nextStepAt.toISOString()\n   337→      });\n   338→\n   339→    if (insertError) {\n   340→      logger.error('Failed to auto-enroll in sequence', { error: insertError.message, leadId });\n   341→    } else {\n   342→      logger.info('Auto-enrolled lead in sequence', {\n   343→        leadId,\n   344→        sequenceId: sequence.id,\n   345→        sequenceName: sequence.name,\n   346→        stage: toStage\n   347→      });\n   348→    }\n   349→\n   350→  } catch (error) {\n   351→    logger.error('Error in sequence auto-enrollment', { error: error.message, leadId });\n   352→  }\n   353→}\n   354→\n   355→/**\n   356→ * Calculate days in current stage\n   357→ */\n   358→function calculateDaysInStage(stageChangedAt, createdAt) {\n   359→  const referenceDate = stageChangedAt ? new Date(stageChangedAt) : new Date(createdAt);\n   360→  const now = new Date();\n   361→  return Math.floor((now - referenceDate) / (1000 * 60 * 60 * 24));\n   362→}\n   363→\n   364→/**\n   365→ * Determine if user is \"stuck\" (7+ days in stage with no progress)\n   366→ */\n   367→function isStuck(daysInStage, thresholdDays = 7) {\n   368→  return daysInStage >= thresholdDays;\n   369→}\n   370→\n   371→/**\n   372→ * Diagnose why user might be stuck\n   373→ * @returns 'forgot' | 'avoiding' | 'unknown'\n   374→ */\n   375→function diagnoseStuckReason(platformData, daysInStage) {\n   376→  if (!platformData || !platformData.last_login) {\n   377→    return 'unknown';\n   378→  }\n   379→\n   380→  const lastLogin = new Date(platformData.last_login);\n   381→  const daysSinceLogin = Math.floor((Date.now() - lastLogin.getTime()) / (1000 * 60 * 60 * 24));\n   382→\n   383→  // If they haven't logged in recently, they probably forgot\n   384→  if (daysSinceLogin >= 7) {\n   385→    return 'forgot';\n   386→  }\n   387→\n   388→  // If they're logging in but not progressing, they might be avoiding\n   389→  if (daysSinceLogin < 7 && daysInStage >= 7) {\n   390→    return 'avoiding';\n   391→  }\n   392→\n   393→  return 'unknown';\n   394→}\n   395→\n   396→/**\n   397→ * Get stages list for a lead type\n   398→ */\n   399→function getStagesForType(leadType) {\n   400→  return leadType === 'worker' ? WORKER_STAGES : CONTRACTOR_STAGES;\n   401→}\n   402→\n   403→/**\n   404→ * Get stage label for display\n   405→ */\n   406→function getStageLabel(stage) {\n   407→  return STAGE_LABELS[stage] || stage;\n   408→}\n   409→\n   410→module.exports = {\n   411→  // Stage calculation\n   412→  calculateWorkerStage,\n   413→  calculateContractorStage,\n   414→  calculateHealthScore,\n   415→\n   416→  // Stage comparison\n   417→  getStageIndex,\n   418→  hasStageProgressed,\n   419→  getStagesForType,\n   420→  getStageLabel,\n   421→\n   422→  // Tracking\n   423→  logStageTransition,\n   424→  handleSequenceAutoEnrollment,\n   425→  calculateDaysInStage,\n   426→  isStuck,\n   427→  diagnoseStuckReason,\n   428→\n   429→  // Constants\n   430→  WORKER_STAGES,\n   431→  CONTRACTOR_STAGES,\n   432→  STAGE_LABELS\n   433→};\n   434→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"91b38258-0aca-4267-bd99-55fcff5405fc","timestamp":"2026-02-07T05:54:54.877Z","sourceToolAssistantUUID":"f68b9642-3d6f-42df-8d62-eb731f1ea005"}
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{"parentUuid":"3a3178ac-2a03-4a86-869e-a65d9e34b12c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01HYG1UHrFzYdWazDNdJ9mAC","toolUseID":"toolu_01HYG1UHrFzYdWazDNdJ9mAC","timestamp":"2026-02-07T05:54:55.262Z","uuid":"88a22847-19f4-4653-bfab-7302e91cac50"}
{"parentUuid":"3a3178ac-2a03-4a86-869e-a65d9e34b12c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HYG1UHrFzYdWazDNdJ9mAC","type":"tool_result","content":"     1→/**\n     2→ * TwiML Route Update - Add Media Stream to outbound calls\n     3→ *\n     4→ * Add this to your existing /twiml route to enable real-time transcription\n     5→ * of both sides of the call via Twilio Media Streams\n     6→ */\n     7→\n     8→const VoiceResponse = require('twilio').twiml.VoiceResponse;\n     9→\n    10→/**\n    11→ * Updated TwiML handler that starts a Media Stream for transcription\n    12→ */\n    13→function generateTwiMLWithStream(req, res) {\n    14→  const twiml = new VoiceResponse();\n    15→\n    16→  // Get parameters from request\n    17→  const to = req.body.To || req.query.To;\n    18→  const leadId = req.body.leadId || req.query.leadId;\n    19→  const callerId = req.body.callerId || process.env.TWILIO_PHONE_NUMBER;\n    20→\n    21→  console.log('[Voice TwiML] Generating TwiML with Media Stream:', { to, leadId });\n    22→\n    23→  // Start a unidirectional media stream to capture both tracks\n    24→  // This runs in parallel with the call - doesn't block\n    25→  const start = twiml.start();\n    26→  start.stream({\n    27→    url: `wss://${req.headers.host}/api/twilio-media`,  // Your WebSocket endpoint\n    28→    track: 'both_tracks',  // Capture both inbound and outbound audio\n    29→    name: `transcription-${leadId}`,\n    30→  }).parameter({\n    31→    name: 'leadId',\n    32→    value: leadId || 'unknown',\n    33→  }).parameter({\n    34→    name: 'callSid',\n    35→    value: req.body.CallSid || 'pending',\n    36→  });\n    37→\n    38→  // Dial the number\n    39→  const dial = twiml.dial({\n    40→    callerId: callerId,\n    41→    record: 'record-from-answer-dual',  // Keep your existing recording\n    42→    recordingStatusCallback: `https://${req.headers.host}/api/recording-status`,\n    43→    recordingStatusCallbackMethod: 'POST',\n    44→  });\n    45→  dial.number(to);\n    46→\n    47→  console.log('[Voice TwiML] Generated:', twiml.toString());\n    48→\n    49→  res.type('text/xml');\n    50→  res.send(twiml.toString());\n    51→}\n    52→\n    53→/**\n    54→ * Example output TwiML:\n    55→ *\n    56→ * <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    57→ * <Response>\n    58→ *   <Start>\n    59→ *     <Stream url=\"wss://app.rateright.com.au/api/twilio-media\" track=\"both_tracks\" name=\"transcription-abc123\">\n    60→ *       <Parameter name=\"leadId\" value=\"abc123\"/>\n    61→ *       <Parameter name=\"callSid\" value=\"CA...\"/>\n    62→ *     </Stream>\n    63→ *   </Start>\n    64→ *   <Dial callerId=\"+61...\" record=\"record-from-answer-dual\" recordingStatusCallback=\"...\">\n    65→ *     <Number>+61426246472</Number>\n    66→ *   </Dial>\n    67→ * </Response>\n    68→ */\n    69→\n    70→module.exports = { generateTwiMLWithStream };\n    71→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"f7d919f1-f9d3-4ca0-9e92-0a044cffff89","timestamp":"2026-02-07T05:54:55.262Z","sourceToolAssistantUUID":"3a3178ac-2a03-4a86-869e-a65d9e34b12c"}
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{"parentUuid":"defaab1b-a460-44d1-a460-9158c35dde96","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01W5cnTFNahQ3XNRd12VBS6L","toolUseID":"toolu_01W5cnTFNahQ3XNRd12VBS6L","timestamp":"2026-02-07T05:54:58.336Z","uuid":"77992097-3e0d-4c4c-9268-c107166595ce"}
{"parentUuid":"defaab1b-a460-44d1-a460-9158c35dde96","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W5cnTFNahQ3XNRd12VBS6L","type":"tool_result","content":"     1→/**\n     2→ * 0.1% Quality Audit System\n     3→ * Daily comprehensive testing + quality scoring\n     4→ * Sends report to Slack\n     5→ */\n     6→\n     7→const { fetchWithTimeout, isTimeoutError } = require('../utils/fetchWithTimeout');\n     8→\n     9→// Get supabase lazily to ensure env vars are loaded\n    10→// Use supabaseAdmin to bypass RLS - audit jobs run without user context\n    11→function getSupabase() {\n    12→  const { supabaseAdmin, supabase } = require('../config/database');\n    13→  const client = supabaseAdmin || supabase;\n    14→  if (!client) {\n    15→    throw new Error('Supabase not configured - check env vars');\n    16→  }\n    17→  return client;\n    18→}\n    19→\n    20→// Test categories with weights\n    21→const AUDIT_CATEGORIES = {\n    22→  critical: { weight: 3, label: '🚨 Critical Systems' },\n    23→  api: { weight: 2, label: '🔌 API Endpoints' },\n    24→  external: { weight: 3, label: '🌐 External Services' },\n    25→  core: { weight: 2, label: '⚡ Core Features' },\n    26→  ai: { weight: 2, label: '🤖 AI Systems' },\n    27→  business: { weight: 2, label: '📊 Business Metrics' },\n    28→  journeys: { weight: 2, label: '🧪 Synthetic Journeys' },\n    29→  quality: { weight: 1, label: '✨ 0.1% Quality' },\n    30→  performance: { weight: 1, label: '🚀 Performance' },\n    31→  frontend: { weight: 1, label: '📱 Frontend Quality' }\n    32→};\n    33→\n    34→// Alert severity mapping for intelligence_alerts\n    35→const SEVERITY_MAP = {\n    36→  critical: 'critical',\n    37→  api: 'high',\n    38→  external: 'high',\n    39→  core: 'medium',\n    40→  ai: 'medium',\n    41→  business: 'medium',\n    42→  journeys: 'medium',\n    43→  quality: 'low',\n    44→  performance: 'low',\n    45→  frontend: 'low'\n    46→};\n    47→\n    48→/**\n    49→ * Run all audit tests\n    50→ */\n    51→async function runFullAudit() {\n    52→  const startTime = Date.now();\n    53→  const results = {\n    54→    timestamp: new Date().toISOString(),\n    55→    categories: {},\n    56→    summary: { passed: 0, failed: 0, warnings: 0 },\n    57→    score: 0,\n    58→    duration: 0\n    59→  };\n    60→\n    61→  // Run all test categories\n    62→  results.categories.critical = await runCriticalTests();\n    63→  results.categories.api = await runAPITests();\n    64→  results.categories.external = await runExternalServiceTests();\n    65→  results.categories.core = await runCoreTests();\n    66→  results.categories.ai = await runAITests();\n    67→  results.categories.business = await runBusinessMetricTests();\n    68→  results.categories.journeys = await runSyntheticJourneyTests();\n    69→  results.categories.quality = await runQualityTests();\n    70→  results.categories.performance = await runPerformanceTests();\n    71→  results.categories.frontend = await runFrontendTests();\n    72→\n    73→  // Calculate totals\n    74→  let totalWeight = 0;\n    75→  let weightedScore = 0;\n    76→\n    77→  for (const [key, category] of Object.entries(results.categories)) {\n    78→    const weight = AUDIT_CATEGORIES[key].weight;\n    79→    totalWeight += weight;\n    80→\n    81→    const categoryScore = category.passed / (category.passed + category.failed) || 0;\n    82→    weightedScore += categoryScore * weight;\n    83→\n    84→    results.summary.passed += category.passed;\n    85→    results.summary.failed += category.failed;\n    86→    results.summary.warnings += category.warnings || 0;\n    87→  }\n    88→\n    89→  results.score = Math.round((weightedScore / totalWeight) * 100);\n    90→  results.duration = Date.now() - startTime;\n    91→\n    92→  return results;\n    93→}\n    94→\n    95→/**\n    96→ * Critical Systems - Must pass for app to function\n    97→ */\n    98→async function runCriticalTests() {\n    99→  const tests = [];\n   100→  const supabase = getSupabase();\n   101→\n   102→  // 1. Database connection\n   103→  tests.push(await runTest('Database Connection', async () => {\n   104→    const { data, error } = await supabase.from('leads').select('id').limit(1);\n   105→    if (error) throw error;\n   106→    return { detail: 'Supabase connected' };\n   107→  }));\n   108→\n   109→  // 2. Leads table accessible\n   110→  tests.push(await runTest('Leads Table', async () => {\n   111→    const { count, error } = await supabase.from('leads').select('*', { count: 'exact', head: true });\n   112→    if (error) throw error;\n   113→    return { detail: `${count} leads in database` };\n   114→  }));\n   115→\n   116→  // 3. Communications table\n   117→  tests.push(await runTest('Communications Table', async () => {\n   118→    const { count, error } = await supabase.from('communications').select('*', { count: 'exact', head: true });\n   119→    if (error) throw error;\n   120→    return { detail: `${count} communications logged` };\n   121→  }));\n   122→\n   123→  // 4. User XP table (gamification)\n   124→  tests.push(await runTest('User XP Table', async () => {\n   125→    const { count, error } = await supabase.from('user_xp').select('*', { count: 'exact', head: true });\n   126→    if (error) throw error;\n   127→    return { detail: `${count} users with XP` };\n   128→  }));\n   129→\n   130→  // 5. Auth working (use user_xp table which always exists)\n   131→  tests.push(await runTest('Auth System', async () => {\n   132→    const { data, error } = await supabase.from('user_xp').select('id').limit(1);\n   133→    if (error) throw error;\n   134→    return { detail: 'User tables accessible' };\n   135→  }));\n   136→\n   137→  return summarizeTests(tests);\n   138→}\n   139→\n   140→/**\n   141→ * API Endpoints - Test actual HTTP endpoints respond\n   142→ */\n   143→async function runAPITests() {\n   144→  const tests = [];\n   145→  const baseUrl = process.env.API_URL || process.env.RAILWAY_PUBLIC_DOMAIN\n   146→    ? `https://${process.env.RAILWAY_PUBLIC_DOMAIN}`\n   147→    : 'http://localhost:3000';\n   148→\n   149→  // 1. Health endpoint\n   150→  tests.push(await runTest('Health Endpoint', async () => {\n   151→    try {\n   152→      const response = await fetchWithTimeout(`${baseUrl}/health`, {}, 5000);\n   153→      if (!response.ok) throw new Error(`HTTP ${response.status}`);\n   154→      const data = await response.json();\n   155→      if (data.status !== 'healthy') throw new Error(`Status: ${data.status}`);\n   156→      return { detail: `Uptime: ${Math.round(data.uptime)}s` };\n   157→    } catch (error) {\n   158→      if (isTimeoutError(error)) throw new Error('Health check timed out');\n   159→      throw error;\n   160→    }\n   161→  }));\n   162→\n   163→  // 2. Dashboard API (no auth needed for health check)\n   164→  tests.push(await runTest('Dashboard Stats', async () => {\n   165→    const supabase = getSupabase();\n   166→    // Test the query pattern directly since we can't easily auth\n   167→    const { count, error } = await supabase\n   168→      .from('leads')\n   169→      .select('*', { count: 'exact', head: true })\n   170→      .is('deleted_at', null);\n   171→    if (error) throw error;\n   172→    return { detail: `${count} leads accessible` };\n   173→  }));\n   174→\n   175→  // 3. Call List query pattern\n   176→  tests.push(await runTest('Call List Query', async () => {\n   177→    const supabase = getSupabase();\n   178→    const start = Date.now();\n   179→    const { data, error } = await supabase\n   180→      .from('leads')\n   181→      .select('id, first_name, last_name, call_list_score, phone')\n   182→      .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")')\n   183→      .is('deleted_at', null)\n   184→      .order('call_list_score', { ascending: false, nullsFirst: false })\n   185→      .limit(20);\n   186→    if (error) throw error;\n   187→    const duration = Date.now() - start;\n   188→    return { detail: `${data.length} leads in ${duration}ms` };\n   189→  }));\n   190→\n   191→  // 4. SMS conversations query pattern\n   192→  tests.push(await runTest('SMS Inbox Query', async () => {\n   193→    const supabase = getSupabase();\n   194→    const start = Date.now();\n   195→    const { data, error } = await supabase\n   196→      .from('communications')\n   197→      .select('id, lead_id, content, created_at, type')\n   198→      .in('type', ['sms_inbound', 'sms_outbound'])\n   199→      .order('created_at', { ascending: false })\n   200→      .limit(50);\n   201→    if (error) throw error;\n   202→    const duration = Date.now() - start;\n   203→    return { detail: `${data.length} messages in ${duration}ms` };\n   204→  }));\n   205→\n   206→  // 5. Sequences accessible\n   207→  tests.push(await runTest('Sequences API', async () => {\n   208→    const supabase = getSupabase();\n   209→    const { data, error } = await supabase\n   210→      .from('sequences')\n   211→      .select('id, name, is_active')\n   212→      .limit(10);\n   213→    if (error) throw error;\n   214→    return { detail: `${data.length} sequences found` };\n   215→  }));\n   216→\n   217→  return summarizeTests(tests);\n   218→}\n   219→\n   220→/**\n   221→ * External Services - Test third-party integrations are reachable\n   222→ */\n   223→async function runExternalServiceTests() {\n   224→  const tests = [];\n   225→\n   226→  // 1. Twilio Configuration Check\n   227→  tests.push(await runTest('Twilio Configured', async () => {\n   228→    const accountSid = process.env.TWILIO_ACCOUNT_SID;\n   229→    const authToken = process.env.TWILIO_AUTH_TOKEN;\n   230→    const phoneNumber = process.env.TWILIO_PHONE_NUMBER;\n   231→\n   232→    if (!accountSid || !authToken) {\n   233→      throw new Error('Missing TWILIO_ACCOUNT_SID or AUTH_TOKEN');\n   234→    }\n   235→    if (!phoneNumber) {\n   236→      throw new Error('Missing TWILIO_PHONE_NUMBER');\n   237→    }\n   238→    return { detail: `Phone: ${phoneNumber.slice(-4)}` };\n   239→  }));\n   240→\n   241→  // 2. Twilio API Reachable (lightweight call)\n   242→  tests.push(await runTest('Twilio API Reachable', async () => {\n   243→    const accountSid = process.env.TWILIO_ACCOUNT_SID;\n   244→    const authToken = process.env.TWILIO_AUTH_TOKEN;\n   245→\n   246→    if (!accountSid || !authToken) {\n   247→      return { detail: 'Skipped - not configured', warning: true };\n   248→    }\n   249→\n   250→    try {\n   251→      // Use fetch to check account status (lightweight)\n   252→      const response = await fetchWithTimeout(\n   253→        `https://api.twilio.com/2010-04-01/Accounts/${accountSid}.json`,\n   254→        {\n   255→          headers: {\n   256→            'Authorization': 'Basic ' + Buffer.from(`${accountSid}:${authToken}`).toString('base64')\n   257→          }\n   258→        },\n   259→        5000 // 5 second timeout for health checks\n   260→      );\n   261→\n   262→      if (!response.ok) throw new Error(`HTTP ${response.status}`);\n   263→      const data = await response.json();\n   264→      return { detail: `Account: ${data.status}` };\n   265→    } catch (error) {\n   266→      if (isTimeoutError(error)) throw new Error('Twilio API timed out');\n   267→      throw error;\n   268→    }\n   269→  }));\n   270→\n   271→  // 3. OpenAI Configuration\n   272→  tests.push(await runTest('OpenAI Configured', async () => {\n   273→    const apiKey = process.env.OPENAI_API_KEY;\n   274→    if (!apiKey) {\n   275→      throw new Error('Missing OPENAI_API_KEY');\n   276→    }\n   277→    return { detail: 'API key present' };\n   278→  }));\n   279→\n   280→  // 4. OpenAI API Reachable (models list - cheap call)\n   281→  tests.push(await runTest('OpenAI API Reachable', async () => {\n   282→    const apiKey = process.env.OPENAI_API_KEY;\n   283→    if (!apiKey) {\n   284→      return { detail: 'Skipped - not configured', warning: true };\n   285→    }\n   286→\n   287→    try {\n   288→      const response = await fetchWithTimeout('https://api.openai.com/v1/models', {\n   289→        headers: {\n   290→          'Authorization': `Bearer ${apiKey}`\n   291→        }\n   292→      }, 5000); // 5 second timeout for health checks\n   293→\n   294→      if (!response.ok) throw new Error(`HTTP ${response.status}`);\n   295→      return { detail: 'API responding' };\n   296→    } catch (error) {\n   297→      if (isTimeoutError(error)) throw new Error('OpenAI API timed out');\n   298→      throw error;\n   299→    }\n   300→  }));\n   301→\n   302→  // 5. Deepgram Configuration\n   303→  tests.push(await runTest('Deepgram Configured', async () => {\n   304→    const deepgramService = require('./deepgram');\n   305→    const config = deepgramService.getClientConfig();\n   306→    if (!config.configured) {\n   307→      throw new Error(config.error || 'Not configured');\n   308→    }\n   309→    return { detail: 'API key present' };\n   310→  }));\n   311→\n   312→  // 6. Supabase Realtime Check\n   313→  tests.push(await runTest('Supabase Realtime', async () => {\n   314→    const supabase = getSupabase();\n   315→\n   316→    // Quick subscription test with timeout\n   317→    const testChannel = supabase.channel('audit-test-' + Date.now());\n   318→\n   319→    const subscribed = await new Promise((resolve) => {\n   320→      const timeout = setTimeout(() => {\n   321→        testChannel.unsubscribe();\n   322→        resolve(false);\n   323→      }, 5000);\n   324→\n   325→      testChannel.subscribe((status) => {\n   326→        if (status === 'SUBSCRIBED') {\n   327→          clearTimeout(timeout);\n   328→          testChannel.unsubscribe();\n   329→          resolve(true);\n   330→        }\n   331→      });\n   332→    });\n   333→\n   334→    if (!subscribed) throw new Error('Failed to subscribe within 5s');\n   335→    return { detail: 'Realtime connected' };\n   336→  }));\n   337→\n   338→  // 7. Slack Webhook Configured\n   339→  tests.push(await runTest('Slack Configured', async () => {\n   340→    const webhookUrl = process.env.SLACK_WEBHOOK_URL;\n   341→    if (!webhookUrl) {\n   342→      return { detail: 'No webhook configured', warning: true };\n   343→    }\n   344→    return { detail: 'Webhook URL present' };\n   345→  }));\n   346→\n   347→  return summarizeTests(tests);\n   348→}\n   349→\n   350→/**\n   351→ * Core Features - Main app functionality\n   352→ */\n   353→async function runCoreTests() {\n   354→  const tests = [];\n   355→  const supabase = getSupabase();\n   356→\n   357→  // 1. Call list query works\n   358→  tests.push(await runTest('Call List Query', async () => {\n   359→    const { data, error } = await supabase\n   360→      .from('leads')\n   361→      .select('id, first_name, last_name, call_list_score')\n   362→      .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")')\n   363→      .order('call_list_score', { ascending: false })\n   364→      .limit(10);\n   365→    if (error) throw error;\n   366→    return { detail: `Top lead score: ${data[0]?.call_list_score || 0}` };\n   367→  }));\n   368→\n   369→  // 2. Lead search works\n   370→  tests.push(await runTest('Lead Search', async () => {\n   371→    const { data, error } = await supabase\n   372→      .from('leads')\n   373→      .select('id, first_name, last_name')\n   374→      .or('first_name.ilike.%test%,last_name.ilike.%test%')\n   375→      .limit(5);\n   376→    if (error) throw error;\n   377→    return { detail: `Search returned ${data.length} results` };\n   378→  }));\n   379→\n   380→  // 3. SMS history query\n   381→  tests.push(await runTest('SMS History Query', async () => {\n   382→    const { data, error } = await supabase\n   383→      .from('communications')\n   384→      .select('id, type, created_at')\n   385→      .in('type', ['sms_inbound', 'sms_outbound'])\n   386→      .order('created_at', { ascending: false })\n   387→      .limit(1);\n   388→    if (error) throw error;\n   389→    const lastSms = data[0]?.created_at ? new Date(data[0].created_at) : null;\n   390→    const hoursAgo = lastSms ? Math.round((Date.now() - lastSms) / (1000 * 60 * 60)) : 'N/A';\n   391→    return { detail: `Last SMS: ${hoursAgo}h ago` };\n   392→  }));\n   393→\n   394→  // 4. Call history query\n   395→  tests.push(await runTest('Call History Query', async () => {\n   396→    const { data, error } = await supabase\n   397→      .from('communications')\n   398→      .select('id, type, created_at')\n   399→      .in('type', ['call_outbound', 'call_inbound'])\n   400→      .order('created_at', { ascending: false })\n   401→      .limit(1);\n   402→    if (error) throw error;\n   403→    return { detail: `Last call logged: ${data[0]?.created_at || 'Never'}` };\n   404→  }));\n   405→\n   406→  // 5. Lead status distribution\n   407→  tests.push(await runTest('Lead Status Health', async () => {\n   408→    const { data, error } = await supabase\n   409→      .from('leads')\n   410→      .select('status')\n   411→      .is('deleted_at', null);\n   412→    if (error) throw error;\n   413→\n   414→    const statuses = {};\n   415→    data.forEach(l => { statuses[l.status] = (statuses[l.status] || 0) + 1; });\n   416→    const activeCount = data.filter(l => !['converted', 'opted_out', 'archived'].includes(l.status)).length;\n   417→    return { detail: `${activeCount} active leads` };\n   418→  }));\n   419→\n   420→  // 6. Sequences table\n   421→  tests.push(await runTest('SMS Sequences', async () => {\n   422→    const { count, error } = await supabase\n   423→      .from('sequences')\n   424→      .select('*', { count: 'exact', head: true })\n   425→      .eq('is_active', true);\n   426→    if (error) throw error;\n   427→    return { detail: `${count} active sequences` };\n   428→  }));\n   429→\n   430→  // 7. Callbacks pending\n   431→  tests.push(await runTest('Callbacks Queue', async () => {\n   432→    const { count, error } = await supabase\n   433→      .from('callbacks')\n   434→      .select('*', { count: 'exact', head: true })\n   435→      .eq('status', 'pending')\n   436→      .gte('scheduled_at', new Date().toISOString());\n   437→    if (error) throw error;\n   438→    return { detail: `${count} pending callbacks` };\n   439→  }));\n   440→\n   441→  return summarizeTests(tests);\n   442→}\n   443→\n   444→/**\n   445→ * AI Systems - Intelligence features\n   446→ */\n   447→async function runAITests() {\n   448→  const tests = [];\n   449→  const supabase = getSupabase();\n   450→\n   451→  // 1. Copilot sessions exist\n   452→  tests.push(await runTest('Copilot Sessions', async () => {\n   453→    const { count, error } = await supabase\n   454→      .from('copilot_sessions')\n   455→      .select('*', { count: 'exact', head: true });\n   456→    if (error) throw error;\n   457→    return { detail: `${count} sessions recorded` };\n   458→  }));\n   459→\n   460→  // 2. AI insights table\n   461→  tests.push(await runTest('AI Insights', async () => {\n   462→    const { count, error } = await supabase\n   463→      .from('ai_insights')\n   464→      .select('*', { count: 'exact', head: true });\n   465→    if (error) throw error;\n   466→    return { detail: `${count} insights generated` };\n   467→  }));\n   468→\n   469→  // 3. Learning system - conversion patterns\n   470→  tests.push(await runTest('Conversion Patterns', async () => {\n   471→    const { count, error } = await supabase\n   472→      .from('conversion_patterns')\n   473→      .select('*', { count: 'exact', head: true });\n   474→    if (error) throw error;\n   475→    return { detail: `${count} patterns learned` };\n   476→  }));\n   477→\n   478→  // 4. Objection responses\n   479→  tests.push(await runTest('Objection Library', async () => {\n   480→    const { count, error } = await supabase\n   481→      .from('objection_responses')\n   482→      .select('*', { count: 'exact', head: true });\n   483→    if (error) throw error;\n   484→    return { detail: `${count} objection responses` };\n   485→  }));\n   486→\n   487→  // 5. Lead intel coverage\n   488→  tests.push(await runTest('Lead Intel Coverage', async () => {\n   489→    const { count: totalLeads } = await supabase\n   490→      .from('leads')\n   491→      .select('*', { count: 'exact', head: true })\n   492→      .is('deleted_at', null);\n   493→\n   494→    const { count: withIntel } = await supabase\n   495→      .from('lead_intel')\n   496→      .select('*', { count: 'exact', head: true });\n   497→\n   498→    const coverage = totalLeads > 0 ? Math.round((withIntel / totalLeads) * 100) : 0;\n   499→    return { detail: `${coverage}% leads have intel` };\n   500→  }));\n   501→\n   502→  // 6. Winning patterns\n   503→  tests.push(await runTest('Winning Patterns', async () => {\n   504→    const { count, error } = await supabase\n   505→      .from('winning_patterns')\n   506→      .select('*', { count: 'exact', head: true })\n   507→      .eq('is_active', true);\n   508→    if (error) throw error;\n   509→    return { detail: `${count} active patterns` };\n   510→  }));\n   511→\n   512→  return summarizeTests(tests);\n   513→}\n   514→\n   515→/**\n   516→ * 0.1% Quality Metrics - The excellence standard\n   517→ */\n   518→async function runQualityTests() {\n   519→  const tests = [];\n   520→  const supabase = getSupabase();\n   521→\n   522→  // 1. Call outcomes logged (not abandoned)\n   523→  tests.push(await runTest('Call Outcome Logging', async () => {\n   524→    const { data: recentCalls } = await supabase\n   525→      .from('communications')\n   526→      .select('id, metadata')\n   527→      .eq('type', 'call_outbound')\n   528→      .order('created_at', { ascending: false })\n   529→      .limit(20);\n   530→\n   531→    const withOutcome = recentCalls?.filter(c => c.metadata?.outcome).length || 0;\n   532→    const rate = recentCalls?.length > 0 ? Math.round((withOutcome / recentCalls.length) * 100) : 0;\n   533→\n   534→    if (rate < 80) throw new Error(`Only ${rate}% calls have outcomes`);\n   535→    return { detail: `${rate}% calls have outcomes logged` };\n   536→  }));\n   537→\n   538→  // 2. Transcription rate\n   539→  tests.push(await runTest('Transcription Rate', async () => {\n   540→    const { data: recentCalls } = await supabase\n   541→      .from('communications')\n   542→      .select('id, metadata')\n   543→      .eq('type', 'call_outbound')\n   544→      .not('metadata->duration', 'is', null)\n   545→      .order('created_at', { ascending: false })\n   546→      .limit(20);\n   547→\n   548→    const withTranscript = recentCalls?.filter(c => c.metadata?.transcript).length || 0;\n   549→    const rate = recentCalls?.length > 0 ? Math.round((withTranscript / recentCalls.length) * 100) : 0;\n   550→    return { detail: `${rate}% calls transcribed`, warning: rate < 50 };\n   551→  }));\n   552→\n   553→  // 3. Response time tracking\n   554→  tests.push(await runTest('Speed-to-Lead Tracking', async () => {\n   555→    const { count, error } = await supabase\n   556→      .from('speed_to_lead')\n   557→      .select('*', { count: 'exact', head: true })\n   558→      .not('minutes_to_contact', 'is', null);\n   559→    if (error) throw error;\n   560→    return { detail: `${count} leads tracked` };\n   561→  }));\n   562→\n   563→  // 4. Dossier coverage\n   564→  tests.push(await runTest('Lead Dossier Coverage', async () => {\n   565→    const { count: totalLeads } = await supabase\n   566→      .from('leads')\n   567→      .select('*', { count: 'exact', head: true })\n   568→      .is('deleted_at', null);\n   569→\n   570→    const { count: withDossier } = await supabase\n   571→      .from('lead_dossier')\n   572→      .select('*', { count: 'exact', head: true });\n   573→\n   574→    const coverage = totalLeads > 0 ? Math.round((withDossier / totalLeads) * 100) : 0;\n   575→    return { detail: `${coverage}% leads have dossiers` };\n   576→  }));\n   577→\n   578→  // 5. Playbook messages generated\n   579→  tests.push(await runTest('Playbook Messages', async () => {\n   580→    const yesterday = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();\n   581→    const { count, error } = await supabase\n   582→      .from('playbook_messages')\n   583→      .select('*', { count: 'exact', head: true })\n   584→      .gte('created_at', yesterday);\n   585→    if (error) throw error;\n   586→    return { detail: `${count} messages generated today` };\n   587→  }));\n   588→\n   589→  return summarizeTests(tests);\n   590→}\n   591→\n   592→/**\n   593→ * Performance Tests\n   594→ */\n   595→async function runPerformanceTests() {\n   596→  const tests = [];\n   597→  const supabase = getSupabase();\n   598→\n   599→  // 1. Database query speed\n   600→  tests.push(await runTest('DB Query Speed', async () => {\n   601→    const start = Date.now();\n   602→    await supabase.from('leads').select('id').limit(100);\n   603→    const duration = Date.now() - start;\n   604→    if (duration > 2000) throw new Error(`Slow: ${duration}ms`);\n   605→    return { detail: `${duration}ms for 100 leads` };\n   606→  }));\n   607→\n   608→  // 2. Complex join query\n   609→  tests.push(await runTest('Complex Query Speed', async () => {\n   610→    const start = Date.now();\n   611→    await supabase\n   612→      .from('leads')\n   613→      .select(`\n   614→        id, first_name, last_name, status,\n   615→        communications(id, type, created_at)\n   616→      `)\n   617→      .limit(10);\n   618→    const duration = Date.now() - start;\n   619→    if (duration > 3000) throw new Error(`Slow: ${duration}ms`);\n   620→    return { detail: `${duration}ms for join query` };\n   621→  }));\n   622→\n   623→  // 3. Battleground queries\n   624→  tests.push(await runTest('Battleground Query', async () => {\n   625→    const start = Date.now();\n   626→    await supabase\n   627→      .from('user_xp')\n   628→      .select('*')\n   629→      .order('total_xp', { ascending: false })\n   630→      .limit(20);\n   631→    const duration = Date.now() - start;\n   632→    return { detail: `${duration}ms for leaderboard` };\n   633→  }));\n   634→\n   635→  // 4. Duels table\n   636→  tests.push(await runTest('Duels System', async () => {\n   637→    const { count, error } = await supabase\n   638→      .from('duels')\n   639→      .select('*', { count: 'exact', head: true });\n   640→    if (error) throw error;\n   641→    return { detail: `${count} duels created` };\n   642→  }));\n   643→\n   644→  // 5. Challenges table\n   645→  tests.push(await runTest('Challenges System', async () => {\n   646→    const { count, error } = await supabase\n   647→      .from('manager_challenges')\n   648→      .select('*', { count: 'exact', head: true });\n   649→    if (error) throw error;\n   650→    return { detail: `${count} challenges created` };\n   651→  }));\n   652→\n   653→  return summarizeTests(tests);\n   654→}\n   655→\n   656→/**\n   657→ * Business Metrics - Key business health indicators\n   658→ */\n   659→async function runBusinessMetricTests() {\n   660→  const tests = [];\n   661→  const supabase = getSupabase();\n   662→  const yesterday = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();\n   663→\n   664→  // 1. SMS delivery rate (last 24h)\n   665→  tests.push(await runTest('SMS Delivery Rate', async () => {\n   666→    const { data: outbound } = await supabase\n   667→      .from('communications')\n   668→      .select('id, metadata')\n   669→      .eq('type', 'sms_outbound')\n   670→      .gte('created_at', yesterday);\n   671→\n   672→    const total = outbound?.length || 0;\n   673→    if (total === 0) {\n   674→      return { detail: 'No SMS sent in 24h', warning: true };\n   675→    }\n   676→\n   677→    const delivered = outbound.filter(sms =>\n   678→      sms.metadata?.status === 'delivered' ||\n   679→      sms.metadata?.status === 'sent' ||\n   680→      !sms.metadata?.status // Assume delivered if no error\n   681→    ).length;\n   682→\n   683→    const rate = Math.round((delivered / total) * 100);\n   684→    if (rate < 90) throw new Error(`Only ${rate}% delivered (target: 90%)`);\n   685→    return { detail: `${rate}% delivery rate (${delivered}/${total})` };\n   686→  }));\n   687→\n   688→  // 2. Call outcome logging rate\n   689→  tests.push(await runTest('Call Outcome Rate', async () => {\n   690→    const { data: recentCalls } = await supabase\n   691→      .from('communications')\n   692→      .select('id, metadata')\n   693→      .eq('type', 'call_outbound')\n   694→      .gte('created_at', yesterday);\n   695→\n   696→    const total = recentCalls?.length || 0;\n   697→    if (total === 0) {\n   698→      return { detail: 'No calls in 24h', warning: true };\n   699→    }\n   700→\n   701→    const withOutcome = recentCalls.filter(c => c.metadata?.outcome).length;\n   702→    const rate = Math.round((withOutcome / total) * 100);\n   703→\n   704→    if (rate < 80) throw new Error(`Only ${rate}% logged outcomes (target: 80%)`);\n   705→    return { detail: `${rate}% calls logged outcomes` };\n   706→  }));\n   707→\n   708→  // 3. Speed-to-lead average\n   709→  tests.push(await runTest('Speed-to-Lead', async () => {\n   710→    const { data: speedData } = await supabase\n   711→      .from('speed_to_lead')\n   712→      .select('minutes_to_contact')\n   713→      .not('minutes_to_contact', 'is', null)\n   714→      .gte('created_at', new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString())\n   715→      .limit(100);\n   716→\n   717→    if (!speedData?.length) {\n   718→      return { detail: 'No speed data available', warning: true };\n   719→    }\n   720→\n   721→    const avg = Math.round(speedData.reduce((sum, d) => sum + d.minutes_to_contact, 0) / speedData.length);\n   722→    if (avg > 30) throw new Error(`${avg} min avg (target: <30 min)`);\n   723→    return { detail: `${avg} min average response time` };\n   724→  }));\n   725→\n   726→  // 4. Conversion tracking health\n   727→  tests.push(await runTest('Conversion Tracking', async () => {\n   728→    const { data: conversions } = await supabase\n   729→      .from('leads')\n   730→      .select('id, last_contact_at')\n   731→      .eq('status', 'converted')\n   732→      .gte('updated_at', new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString());\n   733→\n   734→    const count = conversions?.length || 0;\n   735→    return { detail: `${count} conversions in 30d` };\n   736→  }));\n   737→\n   738→  // 5. Sequence processing health\n   739→  tests.push(await runTest('Sequence Health', async () => {\n   740→    const { data: stuck } = await supabase\n   741→      .from('sequence_enrollments')\n   742→      .select('id')\n   743→      .eq('status', 'active')\n   744→      .lt('next_step_at', new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString());\n   745→\n   746→    const stuckCount = stuck?.length || 0;\n   747→    if (stuckCount > 5) throw new Error(`${stuckCount} stuck enrollments`);\n   748→    return { detail: `${stuckCount} overdue enrollments` };\n   749→  }));\n   750→\n   751→  // 6. Lead contact rate\n   752→  tests.push(await runTest('Lead Contact Rate', async () => {\n   753→    const { count: totalLeads } = await supabase\n   754→      .from('leads')\n   755→      .select('*', { count: 'exact', head: true })\n   756→      .is('deleted_at', null)\n   757→      .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")');\n   758→\n   759→    const { count: contactedLeads } = await supabase\n   760→      .from('leads')\n   761→      .select('*', { count: 'exact', head: true })\n   762→      .is('deleted_at', null)\n   763→      .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")')\n   764→      .not('last_contact_at', 'is', null);\n   765→\n   766→    const rate = totalLeads > 0 ? Math.round((contactedLeads / totalLeads) * 100) : 0;\n   767→    return { detail: `${rate}% leads contacted (${contactedLeads}/${totalLeads})` };\n   768→  }));\n   769→\n   770→  return summarizeTests(tests);\n   771→}\n   772→\n   773→/**\n   774→ * Synthetic Journey Tests - End-to-end flow validation\n   775→ */\n   776→async function runSyntheticJourneyTests() {\n   777→  const tests = [];\n   778→  const supabase = getSupabase();\n   779→\n   780→  // 1. Lead CRUD journey (read-only simulation)\n   781→  tests.push(await runTest('Lead Query Flow', async () => {\n   782→    const start = Date.now();\n   783→\n   784→    // Simulate lead list query\n   785→    const { data: leads, error: listError } = await supabase\n   786→      .from('leads')\n   787→      .select('id, first_name, last_name, phone, status, score')\n   788→      .is('deleted_at', null)\n   789→      .order('score', { ascending: false })\n   790→      .limit(10);\n   791→\n   792→    if (listError) throw listError;\n   793→    if (!leads?.length) throw new Error('No leads found');\n   794→\n   795→    // Simulate lead detail query\n   796→    const { data: detail, error: detailError } = await supabase\n   797→      .from('leads')\n   798→      .select(`\n   799→        *,\n   800→        communications(id, type, created_at)\n   801→      `)\n   802→      .eq('id', leads[0].id)\n   803→      .single();\n   804→\n   805→    if (detailError) throw detailError;\n   806→\n   807→    const duration = Date.now() - start;\n   808→    if (duration > 3000) throw new Error(`Slow: ${duration}ms`);\n   809→    return { detail: `Lead flow completed in ${duration}ms` };\n   810→  }));\n   811→\n   812→  // 2. SMS template rendering flow\n   813→  tests.push(await runTest('SMS Template Flow', async () => {\n   814→    const { data: templates } = await supabase\n   815→      .from('sms_templates')\n   816→      .select('id, name, content')\n   817→      .limit(5);\n   818→\n   819→    if (!templates?.length) {\n   820→      return { detail: 'No templates configured', warning: true };\n   821→    }\n   822→\n   823→    // Check templates have valid placeholders\n   824→    const validTemplates = templates.filter(t =>\n   825→      t.content && t.content.length > 0\n   826→    );\n   827→\n   828→    return { detail: `${validTemplates.length}/${templates.length} templates valid` };\n   829→  }));\n   830→\n   831→  // 3. Call list generation performance\n   832→  tests.push(await runTest('Call List Generation', async () => {\n   833→    const start = Date.now();\n   834→\n   835→    const { data, error } = await supabase\n   836→      .from('leads')\n   837→      .select('id, first_name, last_name, phone, call_list_score, status, score')\n   838→      .not('status', 'in', '(\"converted\",\"opted_out\",\"archived\")')\n   839→      .is('deleted_at', null)\n   840→      .order('call_list_score', { ascending: false, nullsFirst: false })\n   841→      .limit(50);\n   842→\n   843→    if (error) throw error;\n   844→\n   845→    const duration = Date.now() - start;\n   846→    if (duration > 2000) throw new Error(`Slow: ${duration}ms (target: <2s)`);\n   847→    return { detail: `${data.length} leads in ${duration}ms` };\n   848→  }));\n   849→\n   850→  // 4. AI service readiness\n   851→  tests.push(await runTest('AI Service Ready', async () => {\n   852→    // Check learning service has data\n   853→    const { count: patterns } = await supabase\n   854→      .from('conversion_patterns')\n   855→      .select('*', { count: 'exact', head: true });\n   856→\n   857→    const { count: objections } = await supabase\n   858→      .from('objection_responses')\n   859→      .select('*', { count: 'exact', head: true });\n   860→\n   861→    const hasData = patterns > 0 || objections > 0;\n   862→    return {\n   863→      detail: `${patterns} patterns, ${objections} objections`,\n   864→      warning: !hasData\n   865→    };\n   866→  }));\n   867→\n   868→  // 5. Dashboard stats query\n   869→  tests.push(await runTest('Dashboard Query', async () => {\n   870→    const start = Date.now();\n   871→\n   872→    // Simulate dashboard stats query\n   873→    const { count: totalLeads } = await supabase\n   874→      .from('leads')\n   875→      .select('*', { count: 'exact', head: true })\n   876→      .is('deleted_at', null);\n   877→\n   878→    const { count: todayCalls } = await supabase\n   879→      .from('communications')\n   880→      .select('*', { count: 'exact', head: true })\n   881→      .eq('type', 'call_outbound')\n   882→      .gte('created_at', new Date().toISOString().split('T')[0]);\n   883→\n   884→    const duration = Date.now() - start;\n   885→    return { detail: `${totalLeads} leads, ${todayCalls} calls today (${duration}ms)` };\n   886→  }));\n   887→\n   888→  return summarizeTests(tests);\n   889→}\n   890→\n   891→/**\n   892→ * Frontend Quality Tests - Web vitals and error rates\n   893→ */\n   894→async function runFrontendTests() {\n   895→  const tests = [];\n   896→  const supabase = getSupabase();\n   897→  const yesterday = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();\n   898→\n   899→  // 1. LCP Performance (Largest Contentful Paint)\n   900→  tests.push(await runTest('LCP Performance', async () => {\n   901→    const { data: lcpData } = await supabase\n   902→      .from('web_vitals')\n   903→      .select('metric_value')\n   904→      .eq('metric_name', 'LCP')\n   905→      .gte('recorded_at', yesterday)\n   906→      .limit(100);\n   907→\n   908→    if (!lcpData?.length) {\n   909→      return { detail: 'No LCP data yet', warning: true };\n   910→    }\n   911→\n   912→    const avg = Math.round(lcpData.reduce((sum, d) => sum + d.metric_value, 0) / lcpData.length);\n   913→    if (avg > 2500) throw new Error(`${avg}ms avg (target: <2500ms)`);\n   914→    return { detail: `${avg}ms avg LCP (${lcpData.length} samples)` };\n   915→  }));\n   916→\n   917→  // 2. INP Performance (Interaction to Next Paint)\n   918→  tests.push(await runTest('INP Performance', async () => {\n   919→    const { data: inpData } = await supabase\n   920→      .from('web_vitals')\n   921→      .select('metric_value')\n   922→      .eq('metric_name', 'INP')\n   923→      .gte('recorded_at', yesterday)\n   924→      .limit(100);\n   925→\n   926→    if (!inpData?.length) {\n   927→      return { detail: 'No INP data yet', warning: true };\n   928→    }\n   929→\n   930→    const avg = Math.round(inpData.reduce((sum, d) => sum + d.metric_value, 0) / inpData.length);\n   931→    if (avg > 200) throw new Error(`${avg}ms avg (target: <200ms)`);\n   932→    return { detail: `${avg}ms avg INP (${inpData.length} samples)` };\n   933→  }));\n   934→\n   935→  // 3. CLS Performance (Cumulative Layout Shift)\n   936→  tests.push(await runTest('CLS Performance', async () => {\n   937→    const { data: clsData } = await supabase\n   938→      .from('web_vitals')\n   939→      .select('metric_value')\n   940→      .eq('metric_name', 'CLS')\n   941→      .gte('recorded_at', yesterday)\n   942→      .limit(100);\n   943→\n   944→    if (!clsData?.length) {\n   945→      return { detail: 'No CLS data yet', warning: true };\n   946→    }\n   947→\n   948→    const avg = clsData.reduce((sum, d) => sum + d.metric_value, 0) / clsData.length;\n   949→    if (avg > 0.1) throw new Error(`${avg.toFixed(3)} avg (target: <0.1)`);\n   950→    return { detail: `${avg.toFixed(3)} avg CLS (${clsData.length} samples)` };\n   951→  }));\n   952→\n   953→  // 4. Frontend error rate\n   954→  tests.push(await runTest('Frontend Error Rate', async () => {\n   955→    const { count: errorCount } = await supabase\n   956→      .from('frontend_errors')\n   957→      .select('*', { count: 'exact', head: true })\n   958→      .gte('created_at', yesterday);\n   959→\n   960→    if (errorCount > 50) throw new Error(`${errorCount} errors in 24h (high)`);\n   961→    if (errorCount > 20) {\n   962→      return { detail: `${errorCount} errors in 24h`, warning: true };\n   963→    }\n   964→    return { detail: `${errorCount} errors in 24h` };\n   965→  }));\n   966→\n   967→  // 5. TTFB Performance\n   968→  tests.push(await runTest('TTFB Performance', async () => {\n   969→    const { data: ttfbData } = await supabase\n   970→      .from('web_vitals')\n   971→      .select('metric_value')\n   972→      .eq('metric_name', 'TTFB')\n   973→      .gte('recorded_at', yesterday)\n   974→      .limit(100);\n   975→\n   976→    if (!ttfbData?.length) {\n   977→      return { detail: 'No TTFB data yet', warning: true };\n   978→    }\n   979→\n   980→    const avg = Math.round(ttfbData.reduce((sum, d) => sum + d.metric_value, 0) / ttfbData.length);\n   981→    if (avg > 800) throw new Error(`${avg}ms avg (target: <800ms)`);\n   982→    return { detail: `${avg}ms avg TTFB` };\n   983→  }));\n   984→\n   985→  return summarizeTests(tests);\n   986→}\n   987→\n   988→/**\n   989→ * Run a single test with error handling\n   990→ */\n   991→async function runTest(name, testFn) {\n   992→  try {\n   993→    const result = await testFn();\n   994→    return {\n   995→      name,\n   996→      status: result.warning ? 'warning' : 'passed',\n   997→      detail: result.detail\n   998→    };\n   999→  } catch (error) {\n  1000→    return {\n  1001→      name,\n  1002→      status: 'failed',\n  1003→      detail: error.message\n  1004→    };\n  1005→  }\n  1006→}\n  1007→\n  1008→/**\n  1009→ * Summarize test results\n  1010→ */\n  1011→function summarizeTests(tests) {\n  1012→  return {\n  1013→    tests,\n  1014→    passed: tests.filter(t => t.status === 'passed').length,\n  1015→    failed: tests.filter(t => t.status === 'failed').length,\n  1016→    warnings: tests.filter(t => t.status === 'warning').length\n  1017→  };\n  1018→}\n  1019→\n  1020→/**\n  1021→ * Format audit results for Slack\n  1022→ */\n  1023→function formatSlackReport(results) {\n  1024→  const scoreEmoji = results.score >= 90 ? '🏆' : results.score >= 70 ? '✅' : results.score >= 50 ? '⚠️' : '🚨';\n  1025→\n  1026→  let blocks = [\n  1027→    {\n  1028→      type: 'header',\n  1029→      text: {\n  1030→        type: 'plain_text',\n  1031→        text: `${scoreEmoji} Daily 0.1% Quality Audit`,\n  1032→        emoji: true\n  1033→      }\n  1034→    },\n  1035→    {\n  1036→      type: 'section',\n  1037→      fields: [\n  1038→        {\n  1039→          type: 'mrkdwn',\n  1040→          text: `*Overall Score*\\n${results.score}/100`\n  1041→        },\n  1042→        {\n  1043→          type: 'mrkdwn',\n  1044→          text: `*Tests Run*\\n${results.summary.passed + results.summary.failed}`\n  1045→        },\n  1046→        {\n  1047→          type: 'mrkdwn',\n  1048→          text: `*Passed*\\n✅ ${results.summary.passed}`\n  1049→        },\n  1050→        {\n  1051→          type: 'mrkdwn',\n  1052→          text: `*Failed*\\n❌ ${results.summary.failed}`\n  1053→        }\n  1054→      ]\n  1055→    },\n  1056→    {\n  1057→      type: 'divider'\n  1058→    }\n  1059→  ];\n  1060→\n  1061→  // Add category breakdowns\n  1062→  for (const [key, category] of Object.entries(results.categories)) {\n  1063→    const label = AUDIT_CATEGORIES[key].label;\n  1064→    const statusIcon = category.failed === 0 ? '✅' : '❌';\n  1065→\n  1066→    let testDetails = category.tests\n  1067→      .map(t => {\n  1068→        const icon = t.status === 'passed' ? '✓' : t.status === 'warning' ? '⚠' : '✗';\n  1069→        return `${icon} ${t.name}: ${t.detail}`;\n  1070→      })\n  1071→      .join('\\n');\n  1072→\n  1073→    blocks.push({\n  1074→      type: 'section',\n  1075→      text: {\n  1076→        type: 'mrkdwn',\n  1077→        text: `*${statusIcon} ${label}* (${category.passed}/${category.passed + category.failed})\\n\\`\\`\\`${testDetails}\\`\\`\\``\n  1078→      }\n  1079→    });\n  1080→  }\n  1081→\n  1082→  // Add timestamp\n  1083→  blocks.push({\n  1084→    type: 'context',\n  1085→    elements: [\n  1086→      {\n  1087→        type: 'mrkdwn',\n  1088→        text: `Audit completed in ${results.duration}ms | ${new Date(results.timestamp).toLocaleString('en-AU', { timeZone: 'Australia/Sydney' })}`\n  1089→      }\n  1090→    ]\n  1091→  });\n  1092→\n  1093→  return { blocks };\n  1094→}\n  1095→\n  1096→/**\n  1097→ * Generate text summary for logging\n  1098→ */\n  1099→function formatTextReport(results) {\n  1100→  let report = `\\n${'='.repeat(50)}\\n`;\n  1101→  report += `0.1% QUALITY AUDIT REPORT\\n`;\n  1102→  report += `${'='.repeat(50)}\\n\\n`;\n  1103→  report += `Score: ${results.score}/100\\n`;\n  1104→  report += `Passed: ${results.summary.passed} | Failed: ${results.summary.failed}\\n`;\n  1105→  report += `Duration: ${results.duration}ms\\n\\n`;\n  1106→\n  1107→  for (const [key, category] of Object.entries(results.categories)) {\n  1108→    const label = AUDIT_CATEGORIES[key].label;\n  1109→    report += `${label}\\n`;\n  1110→    report += `-`.repeat(30) + '\\n';\n  1111→\n  1112→    for (const test of category.tests) {\n  1113→      const icon = test.status === 'passed' ? '✅' : test.status === 'warning' ? '⚠️' : '❌';\n  1114→      report += `  ${icon} ${test.name}: ${test.detail}\\n`;\n  1115→    }\n  1116→    report += '\\n';\n  1117→  }\n  1118→\n  1119→  return report;\n  1120→}\n  1121→\n  1122→module.exports = {\n  1123→  runFullAudit,\n  1124→  runAPITests,\n  1125→  runExternalServiceTests,\n  1126→  runCriticalTests,\n  1127→  runBusinessMetricTests,\n  1128→  runSyntheticJourneyTests,\n  1129→  runFrontendTests,\n  1130→  formatSlackReport,\n  1131→  formatTextReport,\n  1132→  AUDIT_CATEGORIES,\n  1133→  SEVERITY_MAP\n  1134→};\n  1135→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"563795ba-f926-43d1-85a2-000cda32138c","timestamp":"2026-02-07T05:54:58.336Z","sourceToolAssistantUUID":"defaab1b-a460-44d1-a460-9158c35dde96"}
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{"parentUuid":"318a2108-90f3-4345-99b6-b33e55f2b94c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C24czc89LtcRfhwPn38wdy","type":"tool_result","content":"     1→const OpenAI = require('openai');\n     2→const { supabase } = require('../config/database');\n     3→const { getEffectiveResponses, getSimilarWins } = require('./learning');\n     4→const complianceService = require('./compliance');\n     5→\n     6→// Initialize OpenAI client (only if API key is available)\n     7→let openai = null;\n     8→if (process.env.OPENAI_API_KEY) {\n     9→  openai = new OpenAI({\n    10→    apiKey: process.env.OPENAI_API_KEY,\n    11→    timeout: 60000,   // 60 seconds - AI calls can be slow\n    12→    maxRetries: 2,    // Retry on timeout/transient errors\n    13→  });\n    14→} else {\n    15→  console.warn('OPENAI_API_KEY not set - AI features will be disabled');\n    16→}\n    17→\n    18→// Model selection\n    19→const MODELS = {\n    20→  REASONING: 'gpt-4o',      // Complex analysis, briefs, patterns\n    21→  SIMPLE: 'gpt-4o-mini',    // Message drafting, note cleanup\n    22→  TRANSCRIPTION: 'whisper-1',\n    23→};\n    24→\n    25→/**\n    26→ * Generate Pre-Call Intelligence Brief\n    27→ */\n    28→async function generateIntelBrief(lead, communications = [], similarWins = []) {\n    29→  if (!openai) {\n    30→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n    31→  }\n    32→\n    33→  const prompt = `You are an elite sales intelligence AI for RateRight, Australia's worker marketplace.\n    34→\n    35→WHAT RATERIGHT IS:\n    36→- A marketplace that connects contractors DIRECTLY with workers (not an agency)\n    37→- 9.9% platform fee vs 30-40% agency margins - massive savings\n    38→- Contractors post jobs, workers apply - direct relationship\n    39→- Rating system for worker reliability - see before you book\n    40→- Same-day matching - urgent jobs sorted in hours\n    41→- No lock-in contracts - use us when you need us\n    42→\n    43→Generate a 30-second pre-call intelligence brief for this lead.\n    44→\n    45→LEAD DATA:\n    46→- Name: ${lead.first_name} ${lead.last_name || ''}\n    47→- Company: ${lead.company || 'Unknown'}\n    48→- Source: ${lead.source || 'Unknown'}\n    49→- Current Score: ${lead.score || 0}\n    50→- Status: ${lead.status || 'new'}\n    51→- Last Contact: ${lead.last_contact_at || 'Never'}\n    52→- Last Contact Type: ${lead.last_contact_type || 'None'}\n    53→\n    54→COMMUNICATION HISTORY:\n    55→${communications.slice(0, 10).map(c => `- [${c.direction}] ${c.content?.substring(0, 100) || 'No content'}`).join('\\n') || 'No previous communications'}\n    56→\n    57→SIMILAR LEADS WHO CONVERTED:\n    58→${similarWins.slice(0, 3).map(w => `- ${w.company}: Converted after ${w.touchpoints} touchpoints, key factor: ${w.key_factor}`).join('\\n') || 'No similar data yet'}\n    59→\n    60→IMPORTANT GUIDELINES:\n    61→- Keep opening lines PROFESSIONAL - reference their work, company, or industry only\n    62→- NEVER mention personal topics (family, hobbies, trips) unless they explicitly mentioned it in previous conversations\n    63→- Focus on business value and their specific pain points\n    64→- Respect professional boundaries - we're building trust, not faking familiarity\n    65→\n    66→Generate a JSON response with:\n    67→{\n    68→  \"summary\": \"30-second executive summary of who this lead is and why they matter\",\n    69→  \"savings_pitch\": \"Estimated savings calculation or value proposition to lead with\",\n    70→  \"opening_line\": \"Professional opening line referencing their work/company - NOT personal topics\",\n    71→  \"objections\": [\n    72→    {\"objection\": \"Likely objection\", \"probability\": 0.8, \"counter\": \"How to handle it\"}\n    73→  ],\n    74→  \"talking_points\": [\"Key point 1\", \"Key point 2\", \"Key point 3\"],\n    75→  \"similar_wins\": \"How similar leads were won\",\n    76→  \"recommended_approach\": \"Overall strategy for this call\"\n    77→}`;\n    78→\n    79→  try {\n    80→    const response = await openai.chat.completions.create({\n    81→      model: MODELS.REASONING,\n    82→      messages: [{ role: 'user', content: prompt }],\n    83→      response_format: { type: 'json_object' },\n    84→      temperature: 0.7,\n    85→    });\n    86→\n    87→    const brief = JSON.parse(response.choices[0].message.content);\n    88→    return { success: true, brief };\n    89→  } catch (error) {\n    90→    console.error('Intel brief generation error:', error);\n    91→    return { success: false, error: error.message };\n    92→  }\n    93→}\n    94→\n    95→/**\n    96→ * Process Post-Call Summary from transcript or notes\n    97→ */\n    98→async function generatePostCallSummary(lead, transcript, callDuration = 0) {\n    99→  if (!openai) {\n   100→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   101→  }\n   102→\n   103→  const prompt = `You are an elite sales AI assistant analyzing a call with a potential customer for RateRight, Australia's worker marketplace (NOT an agency - a direct marketplace connecting contractors with workers at 9.9% fee vs 30-40% agency margins).\n   104→\n   105→LEAD: ${lead.first_name} ${lead.last_name || ''} from ${lead.company || 'Unknown company'}\n   106→CALL DURATION: ${Math.floor(callDuration / 60)} minutes ${callDuration % 60} seconds\n   107→\n   108→CALL TRANSCRIPT/NOTES:\n   109→${transcript}\n   110→\n   111→Analyze this call and generate a JSON response:\n   112→{\n   113→  \"summary\": \"2-3 sentence summary of the call\",\n   114→  \"key_points\": [\"Important point 1\", \"Important point 2\", \"Important point 3\"],\n   115→  \"sentiment\": \"positive|neutral|negative\",\n   116→  \"sentiment_score\": 0.0 to 1.0,\n   117→  \"outcome\": \"interested|callback|not_now|converted|lost\",\n   118→  \"objections_raised\": [\"Any objections mentioned\"],\n   119→  \"buying_signals\": [\n   120→    {\n   121→      \"phrase\": \"The exact phrase they said (e.g., 'when can you start?', 'sign me up')\",\n   122→      \"signal_type\": \"high|medium|low\",\n   123→      \"timestamp_approx\": \"early|middle|late (when in the call it happened)\"\n   124→    }\n   125→  ],\n   126→  \"buying_signal_score\": 0-100 (overall buying intent: 0=none, 30=low interest, 60=considering, 80=ready to buy),\n   127→  \"next_step\": \"Specific recommended next action\",\n   128→  \"follow_up_date\": \"YYYY-MM-DD or null\",\n   129→  \"score_adjustment\": -20 to +30 (how much to adjust lead score),\n   130→  \"status_recommendation\": \"new|engaged|callback|converted|lost\",\n   131→  \"coaching_note\": \"One tip for improving future calls like this\"\n   132→}\n   133→\n   134→BUYING SIGNAL DETECTION:\n   135→Look for phrases indicating purchase intent:\n   136→- HIGH: \"when can you start?\", \"sign me up\", \"what's the next step?\", \"let's do it\", \"I'm ready\", \"send me the details\"\n   137→- MEDIUM: \"that's reasonable\", \"sounds fair\", \"have a job starting\", \"need workers\", \"how does it compare?\"\n   138→- LOW: \"tell me more\", \"what does it cost?\", \"sounds interesting\", \"might be useful\"\n   139→\n   140→Include ALL buying signals detected, even subtle ones.`;\n   141→\n   142→  try {\n   143→    const response = await openai.chat.completions.create({\n   144→      model: MODELS.REASONING,\n   145→      messages: [{ role: 'user', content: prompt }],\n   146→      response_format: { type: 'json_object' },\n   147→      temperature: 0.5,\n   148→    });\n   149→\n   150→    const summary = JSON.parse(response.choices[0].message.content);\n   151→    return { success: true, summary };\n   152→  } catch (error) {\n   153→    console.error('Post-call summary error:', error);\n   154→    return { success: false, error: error.message };\n   155→  }\n   156→}\n   157→\n   158→/**\n   159→ * Draft contextual SMS message\n   160→ * @param {Object} lead - Lead data\n   161→ * @param {string} userPrompt - User's request\n   162→ * @param {Array} communications - Recent communications\n   163→ * @param {string} currentMessage - Optional current message to refine\n   164→ * @param {Object} options - { tone, count, includeContext }\n   165→ */\n   166→async function draftMessage(lead, userPrompt, communications = [], currentMessage = null, options = {}) {\n   167→  if (!openai) {\n   168→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   169→  }\n   170→\n   171→  const { tone = null, count = 1, includeContext = true, skipComplianceCheck = false } = options;\n   172→\n   173→  // Get brand guidelines for AI context\n   174→  const guidelines = await complianceService.getGuidelines();\n   175→\n   176→  const recentMessages = communications\n   177→    .filter(c => c.type === 'sms' || c.type === 'sms_inbound' || c.type === 'sms_outbound')\n   178→    .slice(0, 5)\n   179→    .map(c => `[${c.direction}]: ${c.content}`)\n   180→    .join('\\n');\n   181→\n   182→  // Detect waiting status\n   183→  const lastMsg = communications?.[0];\n   184→  const waitingOnUs = lastMsg?.direction === 'inbound';\n   185→\n   186→  // Different prompt for refinement vs new draft\n   187→  const isRefinement = !!currentMessage;\n   188→\n   189→  // Build tone instruction\n   190→  const toneInstruction = tone\n   191→    ? `Use a ${tone} tone.`\n   192→    : 'Use a friendly, conversational tone.';\n   193→\n   194→  // For generating multiple suggestions\n   195→  const generateMultiple = count > 1;\n   196→\n   197→  // Build brand voice rules for injection\n   198→  const brandVoiceRules = `\n   199→BRAND VOICE RULES (MUST FOLLOW):\n   200→- Tone: ${guidelines.tone_description}\n   201→- Use words like: ${(guidelines.tone_keywords || []).join(', ')}\n   202→- NEVER use these words: ${(guidelines.banned_words || []).join(', ')}\n   203→- NEVER use these phrases: ${(guidelines.banned_phrases || []).join(', ')}\n   204→- Max 1 exclamation mark per message\n   205→- Keep it conversational, not corporate\n   206→- Always include a clear next step\n   207→- For contractors: RateRight is FREE (workers pay 9.9% fee)\n   208→- For workers: mention the 9.9% platform fee honestly`;\n   209→\n   210→  const prompt = isRefinement\n   211→    ? `You are refining an SMS message for a RateRight sales rep.\n   212→${brandVoiceRules}\n   213→\n   214→LEAD: ${lead.first_name} ${lead.last_name || ''}\n   215→COMPANY: ${lead.company || 'Unknown'}\n   216→\n   217→CURRENT MESSAGE:\n   218→\"${currentMessage}\"\n   219→\n   220→USER'S REFINEMENT REQUEST: \"${userPrompt}\"\n   221→\n   222→Modify the message according to the user's request. Keep it under 160 chars if possible, max 320 chars.\n   223→- Maintain the core intent of the original message\n   224→- Apply the requested changes\n   225→- ${toneInstruction}\n   226→\n   227→Respond with JSON:\n   228→{\n   229→  \"message\": \"The refined SMS to send\",\n   230→  \"tone\": \"${tone || 'friendly'}\",\n   231→  \"char_count\": 123\n   232→}`\n   233→    : `You are writing SMS messages for a RateRight sales rep.\n   234→${brandVoiceRules}\n   235→\n   236→LEAD: ${lead.first_name} ${lead.last_name || ''}\n   237→COMPANY: ${lead.company || 'Unknown'}\n   238→LEAD TYPE: ${lead.lead_type || 'unknown'}\n   239→STATUS: ${lead.status || 'new'}\n   240→${waitingOnUs ? 'NOTE: They are waiting for our reply!' : ''}\n   241→\n   242→${includeContext ? `RECENT SMS HISTORY:\\n${recentMessages || 'No previous messages'}` : ''}\n   243→\n   244→USER REQUEST: \"${userPrompt}\"\n   245→\n   246→${generateMultiple ? `Generate exactly ${count} different message options, each with a slightly different approach.` : 'Generate a single message.'}\n   247→Each message should be under 160 chars if possible, max 320 chars.\n   248→- Be conversational, not salesy\n   249→- ${toneInstruction}\n   250→- Include a clear next step or question\n   251→- Sign off naturally (no formal signatures)\n   252→${waitingOnUs ? '- Acknowledge their message before moving forward' : ''}\n   253→\n   254→Respond with JSON:\n   255→${generateMultiple ? `{\n   256→  \"suggestions\": [\n   257→    { \"message\": \"First option SMS\", \"tone\": \"${tone || 'friendly'}\", \"char_count\": 123 },\n   258→    { \"message\": \"Second option SMS\", \"tone\": \"${tone || 'friendly'}\", \"char_count\": 123 },\n   259→    { \"message\": \"Third option SMS\", \"tone\": \"${tone || 'friendly'}\", \"char_count\": 123 }\n   260→  ]\n   261→}` : `{\n   262→  \"message\": \"The SMS to send\",\n   263→  \"tone\": \"${tone || 'friendly'}\",\n   264→  \"char_count\": 123\n   265→}`}`;\n   266→\n   267→  try {\n   268→    const response = await openai.chat.completions.create({\n   269→      model: MODELS.SIMPLE,\n   270→      messages: [{ role: 'user', content: prompt }],\n   271→      response_format: { type: 'json_object' },\n   272→      temperature: 0.8,\n   273→    });\n   274→\n   275→    const result = JSON.parse(response.choices[0].message.content);\n   276→\n   277→    // Normalize response format\n   278→    let suggestions = result.suggestions || [result];\n   279→\n   280→    // Post-generation compliance check (unless skipped)\n   281→    if (!skipComplianceCheck) {\n   282→      const checkedSuggestions = await Promise.all(\n   283→        suggestions.map(async (suggestion) => {\n   284→          const compliance = await complianceService.checkCompliance(suggestion.message, {\n   285→            skipToneCheck: true // Already enforced in prompt\n   286→          });\n   287→\n   288→          return {\n   289→            ...suggestion,\n   290→            compliance: {\n   291→              passed: compliance.passed,\n   292→              score: compliance.score,\n   293→              issues: compliance.issues,\n   294→              autoFixed: compliance.autoFixed\n   295→            },\n   296→            // If auto-fixed version available, include it\n   297→            fixedMessage: compliance.autoFixed || null,\n   298→            needsReview: !compliance.passed && !compliance.autoFixed\n   299→          };\n   300→        })\n   301→      );\n   302→      suggestions = checkedSuggestions;\n   303→    }\n   304→\n   305→    return {\n   306→      success: true,\n   307→      draft: suggestions[0], // Backwards compatible\n   308→      suggestions,\n   309→      context: {\n   310→        leadName: lead.first_name,\n   311→        company: lead.company,\n   312→        score: lead.score,\n   313→        waitingOnUs\n   314→      },\n   315→      guidelinesApplied: true\n   316→    };\n   317→  } catch (error) {\n   318→    console.error('Message draft error:', error);\n   319→    return { success: false, error: error.message };\n   320→  }\n   321→}\n   322→\n   323→/**\n   324→ * Transcribe audio using Whisper\n   325→ */\n   326→async function transcribeAudio(audioBuffer, filename = 'audio.webm') {\n   327→  if (!openai) {\n   328→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   329→  }\n   330→\n   331→  try {\n   332→    // Convert Buffer to a File-like object for OpenAI SDK\n   333→    const file = await OpenAI.toFile(audioBuffer, filename, {\n   334→      type: 'audio/webm',\n   335→    });\n   336→\n   337→    const response = await openai.audio.transcriptions.create({\n   338→      file,\n   339→      model: MODELS.TRANSCRIPTION,\n   340→      language: 'en',\n   341→      response_format: 'verbose_json',\n   342→    });\n   343→\n   344→    return {\n   345→      success: true,\n   346→      transcript: response.text,\n   347→      segments: response.segments || [],\n   348→      duration: response.duration,\n   349→    };\n   350→  } catch (error) {\n   351→    console.error('Transcription error:', error);\n   352→    return { success: false, error: error.message };\n   353→  }\n   354→}\n   355→\n   356→/**\n   357→ * Parse callback time specification\n   358→ * Handles: \"tomorrow\", \"thursday\", \"in 3 days\", \"next week\", \"at 2pm\"\n   359→ */\n   360→function parseCallbackTime(timeSpec) {\n   361→  const lower = timeSpec.toLowerCase().trim();\n   362→  const now = new Date();\n   363→  let targetDate = new Date(now);\n   364→  let targetTime = '09:00'; // Default 9am\n   365→  let description = '';\n   366→\n   367→  // Extract time if specified: \"at 2pm\", \"at 14:00\", \"2pm\"\n   368→  const timeMatch = lower.match(/(?:at\\s+)?(\\d{1,2})(?::(\\d{2}))?\\s*(am|pm)?/i);\n   369→  if (timeMatch) {\n   370→    let hours = parseInt(timeMatch[1], 10);\n   371→    const minutes = timeMatch[2] ? timeMatch[2] : '00';\n   372→    const ampm = timeMatch[3]?.toLowerCase();\n   373→\n   374→    if (ampm === 'pm' && hours < 12) hours += 12;\n   375→    if (ampm === 'am' && hours === 12) hours = 0;\n   376→\n   377→    targetTime = `${hours.toString().padStart(2, '0')}:${minutes}`;\n   378→  }\n   379→\n   380→  // Parse the date part\n   381→  const dayNames = ['sunday', 'monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday'];\n   382→\n   383→  if (lower.includes('tomorrow')) {\n   384→    targetDate.setDate(now.getDate() + 1);\n   385→    description = 'tomorrow';\n   386→  } else if (lower.includes('today')) {\n   387→    description = 'today';\n   388→  } else if (lower.includes('next week')) {\n   389→    targetDate.setDate(now.getDate() + 7);\n   390→    description = 'next week';\n   391→  } else if (lower.match(/in\\s+(\\d+)\\s+days?/)) {\n   392→    const match = lower.match(/in\\s+(\\d+)\\s+days?/);\n   393→    const days = parseInt(match[1], 10);\n   394→    targetDate.setDate(now.getDate() + days);\n   395→    description = `in ${days} day${days > 1 ? 's' : ''}`;\n   396→  } else {\n   397→    // Check for day names: \"monday\", \"tuesday\", etc.\n   398→    for (let i = 0; i < dayNames.length; i++) {\n   399→      if (lower.includes(dayNames[i])) {\n   400→        const currentDay = now.getDay();\n   401→        let daysUntil = i - currentDay;\n   402→        if (daysUntil <= 0) daysUntil += 7; // Next occurrence\n   403→        targetDate.setDate(now.getDate() + daysUntil);\n   404→        description = dayNames[i].charAt(0).toUpperCase() + dayNames[i].slice(1);\n   405→        break;\n   406→      }\n   407→    }\n   408→  }\n   409→\n   410→  // If no date was parsed, return null\n   411→  if (!description) {\n   412→    return null;\n   413→  }\n   414→\n   415→  // Add time to description if not default\n   416→  if (targetTime !== '09:00') {\n   417→    const [h, m] = targetTime.split(':');\n   418→    const hour = parseInt(h, 10);\n   419→    const ampm = hour >= 12 ? 'pm' : 'am';\n   420→    const displayHour = hour > 12 ? hour - 12 : (hour === 0 ? 12 : hour);\n   421→    description += ` at ${displayHour}${m !== '00' ? ':' + m : ''}${ampm}`;\n   422→  }\n   423→\n   424→  return {\n   425→    date: targetDate.toISOString().split('T')[0], // YYYY-MM-DD\n   426→    time: targetTime,\n   427→    description,\n   428→  };\n   429→}\n   430→\n   431→/**\n   432→ * Parse voice command intent\n   433→ */\n   434→async function parseVoiceCommand(transcript) {\n   435→  if (!openai) {\n   436→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   437→  }\n   438→\n   439→  // Check for explicit idea/strategy prefixes first (fast path)\n   440→  const lowerTranscript = transcript.toLowerCase().trim();\n   441→  const explicitPrefixes = [\n   442→    { prefix: 'idea:', category: 'idea' },\n   443→    { prefix: 'idea ', category: 'idea' },\n   444→    { prefix: 'strategy:', category: 'strategy' },\n   445→    { prefix: 'strategy ', category: 'strategy' },\n   446→    { prefix: 'what if:', category: 'experiment' },\n   447→    { prefix: 'what if ', category: 'experiment' },\n   448→    { prefix: 'remember:', category: 'reminder' },\n   449→    { prefix: 'remember ', category: 'reminder' },\n   450→    { prefix: 'reminder:', category: 'reminder' },\n   451→    { prefix: 'reminder ', category: 'reminder' },\n   452→  ];\n   453→\n   454→  for (const { prefix, category } of explicitPrefixes) {\n   455→    if (lowerTranscript.startsWith(prefix)) {\n   456→      const content = transcript.slice(prefix.length).trim();\n   457→      return {\n   458→        success: true,\n   459→        parsed: {\n   460→          intent: 'capture_idea',\n   461→          confidence: 1.0,\n   462→          data: {\n   463→            content,\n   464→            category,\n   465→            ai_detected: false,\n   466→          },\n   467→          confirmation: `Got it! Saved your ${category}: \"${content}\"`,\n   468→        },\n   469→      };\n   470→    }\n   471→  }\n   472→\n   473→  // Check for \"works for [company] on [project]\" - contractor extraction (fast path)\n   474→  // Different from \"works at\" - this implies they work FOR someone (contractor relationship)\n   475→  const worksForWithProjectPatterns = [\n   476→    /works?\\s+for\\s+(.+?)\\s+on\\s+(?:the\\s+)?(.+)/i,\n   477→    /(?:he|she|they)\\s+works?\\s+for\\s+(.+?)\\s+on\\s+(?:the\\s+)?(.+)/i,\n   478→    /working\\s+for\\s+(.+?)\\s+on\\s+(?:the\\s+)?(.+)/i,\n   479→  ];\n   480→\n   481→  for (const pattern of worksForWithProjectPatterns) {\n   482→    const match = transcript.match(pattern);\n   483→    if (match) {\n   484→      const companyName = match[1].trim().replace(/[.!?]$/, '');\n   485→      const projectName = match[2].trim().replace(/[.!?]$/, '');\n   486→      return {\n   487→        success: true,\n   488→        parsed: {\n   489→          intent: 'extract_contractor',\n   490→          confidence: 1.0,\n   491→          data: {\n   492→            company_name: companyName,\n   493→            project_name: projectName,\n   494→            trigger_search: true,\n   495→          },\n   496→          confirmation: `Searching for decision maker at \"${companyName}\" (${projectName})...`,\n   497→        },\n   498→      };\n   499→    }\n   500→  }\n   501→\n   502→  // Check for \"works for [company]\" without project (contractor extraction)\n   503→  const worksForPatterns = [\n   504→    /works?\\s+for\\s+(.+)/i,\n   505→    /(?:he|she|they)\\s+works?\\s+for\\s+(.+)/i,\n   506→    /working\\s+for\\s+(.+)/i,\n   507→  ];\n   508→\n   509→  for (const pattern of worksForPatterns) {\n   510→    const match = lowerTranscript.match(pattern);\n   511→    if (match) {\n   512→      // Skip if contains \"on\" - that's handled by worksForWithProjectPatterns above\n   513→      if (match[1].toLowerCase().includes(' on ')) continue;\n   514→      const companyName = match[1].trim().replace(/[.!?]$/, '');\n   515→      return {\n   516→        success: true,\n   517→        parsed: {\n   518→          intent: 'extract_contractor',\n   519→          confidence: 1.0,\n   520→          data: {\n   521→            company_name: companyName,\n   522→            project_name: null,\n   523→            trigger_search: true,\n   524→          },\n   525→          confirmation: `Searching for decision maker at \"${companyName}\"...`,\n   526→        },\n   527→      };\n   528→    }\n   529→  }\n   530→\n   531→  // Check for \"works at\" company commands (fast path) - sets company on lead\n   532→  const worksAtPatterns = [\n   533→    /works?\\s+at\\s+(.+)/i,\n   534→    /they\\s+work\\s+at\\s+(.+)/i,\n   535→    /company\\s+is\\s+(.+)/i,\n   536→    /from\\s+(.+)\\s+company/i,\n   537→  ];\n   538→\n   539→  for (const pattern of worksAtPatterns) {\n   540→    const match = lowerTranscript.match(pattern);\n   541→    if (match) {\n   542→      const companyName = match[1].trim().replace(/[.!?]$/, '');\n   543→      return {\n   544→        success: true,\n   545→        parsed: {\n   546→          intent: 'set_company',\n   547→          confidence: 1.0,\n   548→          data: {\n   549→            company_name: companyName,\n   550→            trigger_research: true,\n   551→          },\n   552→          confirmation: `Updated company to \"${companyName}\" and researching...`,\n   553→        },\n   554→      };\n   555→    }\n   556→  }\n   557→\n   558→  // ═══════════════════════════════════════════════════════════════════════════\n   559→  // QUICK ACTION PATTERNS (context-aware - use current lead)\n   560→  // ═══════════════════════════════════════════════════════════════════════════\n   561→\n   562→  // Mark tier patterns: \"mark hot\", \"mark them warm\", \"he's hot\", \"this one's cold\"\n   563→  const markTierPatterns = [\n   564→    /^mark\\s+(?:this\\s+)?(?:one\\s+)?(?:as\\s+)?(hot|warm|cold)$/i,\n   565→    /^mark\\s+(?:them|him|her)\\s+(?:as\\s+)?(hot|warm|cold)$/i,\n   566→    /^(?:he|she|they|this\\s+one)'?s?\\s+(hot|warm|cold)$/i,\n   567→    /^(hot|warm|cold)\\s+lead$/i,\n   568→  ];\n   569→\n   570→  for (const pattern of markTierPatterns) {\n   571→    const match = lowerTranscript.match(pattern);\n   572→    if (match) {\n   573→      const tier = match[1].toLowerCase();\n   574→      const scoreMap = { hot: 75, warm: 55, cold: 15 };\n   575→      return {\n   576→        success: true,\n   577→        parsed: {\n   578→          intent: 'mark_tier',\n   579→          confidence: 1.0,\n   580→          data: {\n   581→            tier,\n   582→            score: scoreMap[tier],\n   583→          },\n   584→          confirmation: `Marked as ${tier}`,\n   585→        },\n   586→      };\n   587→    }\n   588→  }\n   589→\n   590→  // Mark status patterns: \"mark engaged\", \"mark as converted\", \"lost this one\"\n   591→  const markStatusPatterns = [\n   592→    /^mark\\s+(?:this\\s+)?(?:one\\s+)?(?:as\\s+)?(engaged|converted|lost|new|callback)$/i,\n   593→    /^mark\\s+(?:them|him|her)\\s+(?:as\\s+)?(engaged|converted|lost|new|callback)$/i,\n   594→    /^(?:they|this\\s+one)\\s+(?:is\\s+)?(engaged|converted|lost)$/i,\n   595→    /^(lost|converted)\\s+(?:this\\s+one|them)$/i,\n   596→  ];\n   597→\n   598→  for (const pattern of markStatusPatterns) {\n   599→    const match = lowerTranscript.match(pattern);\n   600→    if (match) {\n   601→      const status = match[1].toLowerCase();\n   602→      return {\n   603→        success: true,\n   604→        parsed: {\n   605→          intent: 'mark_status',\n   606→          confidence: 1.0,\n   607→          data: { status },\n   608→          confirmation: `Marked as ${status}`,\n   609→        },\n   610→      };\n   611→    }\n   612→  }\n   613→\n   614→  // Skip patterns: \"skip\", \"skip this one\", \"next\", \"pass\"\n   615→  const skipPatterns = [\n   616→    /^skip(?:\\s+this)?(?:\\s+one)?$/i,\n   617→    /^next(?:\\s+lead)?$/i,\n   618→    /^pass(?:\\s+on\\s+this)?(?:\\s+one)?$/i,\n   619→  ];\n   620→\n   621→  for (const pattern of skipPatterns) {\n   622→    if (pattern.test(lowerTranscript)) {\n   623→      return {\n   624→        success: true,\n   625→        parsed: {\n   626→          intent: 'skip_lead',\n   627→          confidence: 1.0,\n   628→          data: {},\n   629→          confirmation: 'Skipping to next lead',\n   630→        },\n   631→      };\n   632→    }\n   633→  }\n   634→\n   635→  // Call patterns: \"call next\", \"call this one\", \"dial them\"\n   636→  const callPatterns = [\n   637→    /^call\\s+(?:this\\s+one|them|him|her|next)$/i,\n   638→    /^dial\\s+(?:this\\s+one|them|him|her|next)$/i,\n   639→    /^ring\\s+(?:this\\s+one|them|him|her)$/i,\n   640→  ];\n   641→\n   642→  for (const pattern of callPatterns) {\n   643→    if (pattern.test(lowerTranscript)) {\n   644→      return {\n   645→        success: true,\n   646→        parsed: {\n   647→          intent: 'call_lead',\n   648→          confidence: 1.0,\n   649→          data: {},\n   650→          confirmation: 'Starting call...',\n   651→        },\n   652→      };\n   653→    }\n   654→  }\n   655→\n   656→  // Send follow-up patterns: \"send follow up\", \"send a quick text\", \"text them\"\n   657→  const followupPatterns = [\n   658→    /^send\\s+(?:a\\s+)?(?:follow[\\s-]?up|quick\\s+(?:text|sms|message))$/i,\n   659→    /^text\\s+(?:them|him|her)$/i,\n   660→    /^(?:quick\\s+)?sms$/i,\n   661→    /^message\\s+(?:them|him|her)$/i,\n   662→  ];\n   663→\n   664→  for (const pattern of followupPatterns) {\n   665→    if (pattern.test(lowerTranscript)) {\n   666→      return {\n   667→        success: true,\n   668→        parsed: {\n   669→          intent: 'send_followup',\n   670→          confidence: 1.0,\n   671→          data: {},\n   672→          confirmation: 'Opening SMS...',\n   673→        },\n   674→      };\n   675→    }\n   676→  }\n   677→\n   678→  // Note patterns: \"note: [content]\", \"add note [content]\"\n   679→  const notePatterns = [\n   680→    /^note[:\\s]+(.+)$/i,\n   681→    /^add\\s+note[:\\s]+(.+)$/i,\n   682→    /^(?:make\\s+a\\s+)?note\\s+(?:that\\s+)?(.+)$/i,\n   683→  ];\n   684→\n   685→  for (const pattern of notePatterns) {\n   686→    const match = transcript.match(pattern);\n   687→    if (match) {\n   688→      const content = match[1].trim();\n   689→      return {\n   690→        success: true,\n   691→        parsed: {\n   692→          intent: 'add_note',\n   693→          confidence: 1.0,\n   694→          data: { note_content: content },\n   695→          confirmation: `Note added: \"${content.substring(0, 30)}${content.length > 30 ? '...' : ''}\"`,\n   696→        },\n   697→      };\n   698→    }\n   699→  }\n   700→\n   701→  // Callback patterns: \"callback tomorrow\", \"call back thursday at 2pm\", \"remind me in 3 days\"\n   702→  const callbackPatterns = [\n   703→    /^(?:call\\s*back|callback|follow\\s*up|remind\\s+me)\\s+(.+)$/i,\n   704→    /^schedule\\s+(?:a\\s+)?(?:call\\s*back|callback|follow\\s*up)\\s+(?:for\\s+)?(.+)$/i,\n   705→  ];\n   706→\n   707→  for (const pattern of callbackPatterns) {\n   708→    const match = lowerTranscript.match(pattern);\n   709→    if (match) {\n   710→      const timeSpec = match[1].trim();\n   711→      const parsed = parseCallbackTime(timeSpec);\n   712→      if (parsed) {\n   713→        return {\n   714→          success: true,\n   715→          parsed: {\n   716→            intent: 'schedule_callback',\n   717→            confidence: 1.0,\n   718→            data: {\n   719→              callback_date: parsed.date,\n   720→              callback_time: parsed.time,\n   721→              time_description: parsed.description,\n   722→            },\n   723→            confirmation: `Callback scheduled for ${parsed.description}`,\n   724→          },\n   725→        };\n   726→      }\n   727→    }\n   728→  }\n   729→\n   730→  // ═══════════════════════════════════════════════════════════════════════════\n   731→  // END QUICK ACTION PATTERNS - Fall through to GPT for complex commands\n   732→  // ═══════════════════════════════════════════════════════════════════════════\n   733→\n   734→  const prompt = `Parse this voice command from a sales rep using the RateRight CRM:\n   735→\n   736→\"${transcript}\"\n   737→\n   738→Identify the intent and extract data.\n   739→\n   740→IMPORTANT: If the command sounds like the user is capturing a thought, insight, or idea for later (even without saying \"idea\" or \"strategy\"), classify it as \"capture_idea\".\n   741→\n   742→Examples of capture_idea:\n   743→- \"we should try morning calls\" → strategy\n   744→- \"offer referral bonus to plumbers\" → idea\n   745→- \"test sending SMS before calls\" → experiment\n   746→- \"don't forget to follow up with John\" → reminder\n   747→\n   748→Examples of extract_contractor (when a worker mentions who they work FOR):\n   749→- \"works for ABC Construction on the Sydney project\" → extract_contractor\n   750→- \"he works for Built Homes\" → extract_contractor\n   751→- \"she's working for Smith Builders on Barangaroo\" → extract_contractor\n   752→\n   753→Respond with JSON:\n   754→{\n   755→  \"intent\": \"update_lead|schedule_callback|draft_message|get_recommendation|mark_status|add_note|capture_idea|set_company|extract_contractor|unknown\",\n   756→  \"confidence\": 0.0 to 1.0,\n   757→  \"data\": {\n   758→    \"lead_name\": \"if mentioned\",\n   759→    \"status\": \"if changing status\",\n   760→    \"callback_date\": \"if scheduling\",\n   761→    \"message_request\": \"if drafting\",\n   762→    \"note_content\": \"if adding note\",\n   763→    \"content\": \"if capture_idea - the actual idea/strategy text\",\n   764→    \"category\": \"if capture_idea - one of: idea, strategy, experiment, reminder\",\n   765→    \"company_name\": \"if set_company or extract_contractor - the company name\",\n   766→    \"project_name\": \"if extract_contractor - the project/site name (optional)\",\n   767→    \"trigger_research\": true,\n   768→    \"trigger_search\": true,\n   769→    \"ai_detected\": true,\n   770→    \"other\": \"any other extracted data\"\n   771→  },\n   772→  \"confirmation\": \"Human-readable confirmation of what will be done\"\n   773→}`;\n   774→\n   775→  try {\n   776→    const response = await openai.chat.completions.create({\n   777→      model: MODELS.SIMPLE,\n   778→      messages: [{ role: 'user', content: prompt }],\n   779→      response_format: { type: 'json_object' },\n   780→      temperature: 0.3,\n   781→    });\n   782→\n   783→    const parsed = JSON.parse(response.choices[0].message.content);\n   784→    return { success: true, parsed };\n   785→  } catch (error) {\n   786→    console.error('Voice command parse error:', error);\n   787→    return { success: false, error: error.message };\n   788→  }\n   789→}\n   790→\n   791→/**\n   792→ * Generate real-time objection handling suggestion\n   793→ */\n   794→async function getObjectionResponse(objection, leadContext) {\n   795→  if (!openai) {\n   796→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   797→  }\n   798→\n   799→  // Calculate potential savings for this lead\n   800→  const weeklyWorkerCost = 45 * 40; // $1,800\n   801→  const agencyMarkup = weeklyWorkerCost * 0.35; // $630\n   802→  const raterightFee = weeklyWorkerCost * 0.099; // $178\n   803→  const weeklySavings = Math.round(agencyMarkup - raterightFee); // ~$450\n   804→  const yearlySavingsPerWorker = weeklySavings * 52; // ~$23,400\n   805→\n   806→  // Detect likely objection type from keywords for learning lookup\n   807→  const lowerObjection = objection.toLowerCase();\n   808→  let likelyType = 'other';\n   809→  if (lowerObjection.includes('price') || lowerObjection.includes('expensive') || lowerObjection.includes('cost') || lowerObjection.includes('cheap')) {\n   810→    likelyType = 'price';\n   811→  } else if (lowerObjection.includes('think') || lowerObjection.includes('later') || lowerObjection.includes('busy') || lowerObjection.includes('time')) {\n   812→    likelyType = 'timing';\n   813→  } else if (lowerObjection.includes('already') || lowerObjection.includes('happy') || lowerObjection.includes('sorted') || lowerObjection.includes('agency')) {\n   814→    likelyType = 'competition';\n   815→  } else if (lowerObjection.includes('trust') || lowerObjection.includes('never heard') || lowerObjection.includes('scam') || lowerObjection.includes('legit')) {\n   816→    likelyType = 'trust';\n   817→  }\n   818→\n   819→  // Query learning system for proven responses\n   820→  let provenResponses = [];\n   821→  try {\n   822→    provenResponses = await getEffectiveResponses(likelyType, leadContext.trade);\n   823→  } catch (err) {\n   824→    console.warn('Could not fetch effective responses:', err.message);\n   825→  }\n   826→\n   827→  // Build proven responses section for prompt\n   828→  const provenSection = provenResponses.length > 0\n   829→    ? `\\n\\nPROVEN RESPONSES (these have worked before - use or adapt):\n   830→${provenResponses.slice(0, 3).map((r, i) => `${i + 1}. \"${r.response_text}\" (${Math.round(r.effectiveness_score * 100)}% effective)`).join('\\n')}`\n   831→    : '';\n   832→\n   833→  // Build communication history summary\n   834→  const recentCommsText = leadContext.recentMessages?.length > 0\n   835→    ? leadContext.recentMessages.slice(0, 3).map(m =>\n   836→        `${m.direction === 'inbound' ? 'They said' : 'We said'}: \"${m.content}\"`\n   837→      ).join('\\n')\n   838→    : 'First conversation';\n   839→\n   840→  // Get brand guidelines for tone consistency\n   841→  const guidelines = await complianceService.getGuidelines();\n   842→\n   843→  const prompt = `You're a sales coach whispering in the ear of a rep who's on a LIVE call right now. Be direct, specific, and useful. No fluff.${provenSection}\n   844→\n   845→BRAND VOICE (IMPORTANT!):\n   846→- Tone: ${guidelines.tone_description}\n   847→- Use words like: ${(guidelines.tone_keywords || []).slice(0, 5).join(', ')}\n   848→- NEVER use: ${(guidelines.banned_words || []).join(', ')}\n   849→- For contractors: RateRight is FREE (workers pay 9.9%)\n   850→- For workers: mention the 9.9% platform fee honestly\n   851→\n   852→THE SITUATION:\n   853→${leadContext.name} from ${leadContext.company}${leadContext.trade ? ` (${leadContext.trade} trade)` : ''} just said:\n   854→\"${objection}\"\n   855→\n   856→WHAT WE KNOW ABOUT THEM:\n   857→- Lead score: ${leadContext.score}/100 ${leadContext.score >= 70 ? '(hot - close this!)' : leadContext.score >= 50 ? '(warm - good potential)' : '(needs warming up)'}\n   858→- Recent conversation:\n   859→${recentCommsText}\n   860→${leadContext.previousObjections?.length > 0 ? `- They've objected before about: ${leadContext.previousObjections.join(', ')}` : ''}\n   861→\n   862→THE MATH (use this!):\n   863→- Agencies charge 30-40% margin on workers\n   864→- RateRight charges just 9.9%\n   865→- That's $${weeklySavings}/week savings per worker\n   866→- Or $${yearlySavingsPerWorker.toLocaleString()}/year per full-time worker\n   867→- For a team of 5 workers = $${(yearlySavingsPerWorker * 5).toLocaleString()}/year back in their pocket\n   868→\n   869→WHAT RATERIGHT IS (GET THIS RIGHT!):\n   870→- A MARKETPLACE, not an agency - contractors post jobs, workers apply directly\n   871→- 9.9% platform fee vs 30-40% agency margins - massive savings\n   872→- Direct relationship between you and the worker - no middleman\n   873→- Rating system - see worker reliability before you hire\n   874→- Same-day matching - post a job, get applicants within hours\n   875→- No lock-in contracts - use it when you need it\n   876→\n   877→OBJECTION PLAYBOOK:\n   878→- PRICE: \"Agencies take 30-40% cut. On RateRight you post the job, workers apply direct, and we take just 9.9%. You're paying $${agencyMarkup}/week in agency fat - with us that's $${weeklySavings} back in your pocket.\"\n   879→- ALREADY HAVE WORKERS: \"Perfect - keep them! But what happens when Dave calls in sick Monday morning and you've got a concrete pour? Post a job on RateRight, get applicants in hours.\"\n   880→- NEED TO THINK: \"Totally fair. What's the main thing you'd want to check? Happy to send you some numbers to look at.\"\n   881→- HAPPY WITH CURRENT AGENCY: \"What are you paying in margins? Because agencies take 30-40% on top. With RateRight you deal direct with workers, see their ratings, and pay just 9.9%. No middleman.\"\n   882→- TOO BUSY: \"I get it - that's exactly why tradies use us. 5 minutes to post a job, workers come to you. No hunting, no agencies, just blokes applying direct.\"\n   883→- CONTRACTS/LOCKED IN: \"No contracts. Post one job, try it out. Most blokes try us once and stick around because the direct connection just works better.\"\n   884→\n   885→YOUR JOB RIGHT NOW:\n   886→Give the rep ONE thing to say that's natural, specific to ${leadContext.name}'s situation, and moves the conversation forward. Sound like a mate giving advice, not a script.\n   887→\n   888→Respond with JSON:\n   889→{\n   890→  \"response\": \"Exactly what to say next (1-2 sentences, natural Aussie tone)\",\n   891→  \"key_point\": \"The one thing to make sure lands\",\n   892→  \"follow_up_question\": \"Question to ask after (keep them talking)\",\n   893→  \"objection_type\": \"price|timing|competition|trust|capacity|other\"\n   894→}`;\n   895→\n   896→  try {\n   897→    const response = await openai.chat.completions.create({\n   898→      model: MODELS.REASONING, // Use GPT-4o for better coaching\n   899→      messages: [{ role: 'user', content: prompt }],\n   900→      response_format: { type: 'json_object' },\n   901→      temperature: 0.8,\n   902→      max_tokens: 400,\n   903→    });\n   904→\n   905→    const suggestion = JSON.parse(response.choices[0].message.content);\n   906→\n   907→    // Add the savings data to the response for the UI\n   908→    suggestion.savings = {\n   909→      weekly: weeklySavings,\n   910→      yearly: yearlySavingsPerWorker,\n   911→    };\n   912→\n   913→    // Add effectiveness data from learning system\n   914→    if (provenResponses.length > 0) {\n   915→      // Find best matching proven response for this objection type\n   916→      const bestMatch = provenResponses.find(r => r.objection_type === suggestion.objection_type)\n   917→        || provenResponses[0];\n   918→\n   919→      suggestion.effectiveness = {\n   920→        successRate: Math.round((bestMatch.effectiveness_score || 0.5) * 100),\n   921→        timesUsed: bestMatch.times_shown || 0,\n   922→        conversions: bestMatch.led_to_conversion || 0,\n   923→        source: 'learned', // Indicates this comes from actual usage data\n   924→      };\n   925→    } else {\n   926→      // No proven data yet - show as new suggestion\n   927→      suggestion.effectiveness = {\n   928→        successRate: null,\n   929→        timesUsed: 0,\n   930→        conversions: 0,\n   931→        source: 'ai_generated',\n   932→      };\n   933→    }\n   934→\n   935→    return { success: true, suggestion };\n   936→  } catch (error) {\n   937→    console.error('Objection response error:', error);\n   938→    return { success: false, error: error.message };\n   939→  }\n   940→}\n   941→\n   942→/**\n   943→ * Calculate AI Conversion Probability\n   944→ */\n   945→async function calculateConversionProbability(lead, communications = [], factors = []) {\n   946→  if (!openai) {\n   947→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n   948→  }\n   949→\n   950→  const engagementScore = communications.filter(c => c.direction === 'inbound').length * 10;\n   951→  const recencyBonus = lead.last_contact_at &&\n   952→    (Date.now() - new Date(lead.last_contact_at).getTime()) < 86400000 ? 15 : 0;\n   953→  const sourceBonus = lead.source === 'referral' ? 20 : lead.source === 'website' ? 10 : 0;\n   954→\n   955→  // Base probability from factors\n   956→  let probability = 0.3 + (engagementScore / 100) + (recencyBonus / 100) + (sourceBonus / 100);\n   957→  probability = Math.min(0.95, Math.max(0.05, probability));\n   958→\n   959→  const prompt = `Given this lead data, refine the conversion probability:\n   960→\n   961→LEAD: ${lead.first_name} ${lead.last_name || ''} - ${lead.company || 'Unknown'}\n   962→Current Score: ${lead.score || 0}\n   963→Status: ${lead.status}\n   964→Source: ${lead.source}\n   965→Communications: ${communications.length} total, ${communications.filter(c => c.direction === 'inbound').length} inbound\n   966→Last Contact: ${lead.last_contact_at || 'Never'}\n   967→Base Probability Estimate: ${(probability * 100).toFixed(0)}%\n   968→\n   969→Respond with JSON:\n   970→{\n   971→  \"probability\": 0.0 to 1.0,\n   972→  \"factors\": [\n   973→    {\"factor\": \"Factor name\", \"impact\": \"positive|negative\", \"weight\": 0.1}\n   974→  ],\n   975→  \"reasoning\": \"Brief explanation\",\n   976→  \"recommended_action\": \"Best next step\",\n   977→  \"recommended_timing\": \"When to take action\"\n   978→}`;\n   979→\n   980→  try {\n   981→    const response = await openai.chat.completions.create({\n   982→      model: MODELS.REASONING,\n   983→      messages: [{ role: 'user', content: prompt }],\n   984→      response_format: { type: 'json_object' },\n   985→      temperature: 0.4,\n   986→    });\n   987→\n   988→    const result = JSON.parse(response.choices[0].message.content);\n   989→    return { success: true, ...result };\n   990→  } catch (error) {\n   991→    console.error('Conversion probability error:', error);\n   992→    return { success: false, probability, error: error.message };\n   993→  }\n   994→}\n   995→\n   996→/**\n   997→ * Generate Weekly Pattern Insights\n   998→ */\n   999→async function generateWeeklyInsights(metrics, conversions, communications) {\n  1000→  if (!openai) {\n  1001→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n  1002→  }\n  1003→\n  1004→  const prompt = `Analyze this week's sales data for RateRight and generate actionable insights:\n  1005→\n  1006→METRICS:\n  1007→- Calls Made: ${metrics.calls_made || 0}\n  1008→- SMS Sent: ${metrics.sms_sent || 0}\n  1009→- SMS Received: ${metrics.sms_received || 0}\n  1010→- New Leads: ${metrics.new_leads || 0}\n  1011→- Conversions: ${metrics.conversions || 0}\n  1012→\n  1013→CONVERSION DATA:\n  1014→${JSON.stringify(conversions.slice(0, 10), null, 2)}\n  1015→\n  1016→COMMUNICATION PATTERNS:\n  1017→${JSON.stringify(communications.slice(0, 20), null, 2)}\n  1018→\n  1019→Generate actionable insights. Respond with JSON:\n  1020→{\n  1021→  \"summary\": \"One paragraph summary of the week\",\n  1022→  \"top_insight\": \"The most important finding\",\n  1023→  \"patterns\": [\n  1024→    {\"pattern\": \"What's working\", \"evidence\": \"Data supporting it\", \"recommendation\": \"How to do more\"}\n  1025→  ],\n  1026→  \"concerns\": [\n  1027→    {\"concern\": \"What needs attention\", \"data\": \"Evidence\", \"action\": \"What to do\"}\n  1028→  ],\n  1029→  \"recommendations\": [\n  1030→    \"Specific action item 1\",\n  1031→    \"Specific action item 2\",\n  1032→    \"Specific action item 3\"\n  1033→  ],\n  1034→  \"best_performing\": {\n  1035→    \"time\": \"Best time to call\",\n  1036→    \"message_type\": \"Most effective message approach\",\n  1037→    \"lead_type\": \"Highest converting lead type\"\n  1038→  }\n  1039→}`;\n  1040→\n  1041→  try {\n  1042→    const response = await openai.chat.completions.create({\n  1043→      model: MODELS.REASONING,\n  1044→      messages: [{ role: 'user', content: prompt }],\n  1045→      response_format: { type: 'json_object' },\n  1046→      temperature: 0.6,\n  1047→    });\n  1048→\n  1049→    const insights = JSON.parse(response.choices[0].message.content);\n  1050→    return { success: true, insights };\n  1051→  } catch (error) {\n  1052→    console.error('Weekly insights error:', error);\n  1053→    return { success: false, error: error.message };\n  1054→  }\n  1055→}\n  1056→\n  1057→/**\n  1058→ * Clean up rough notes into structured format\n  1059→ */\n  1060→async function cleanupNotes(roughNotes, lead) {\n  1061→  if (!openai) {\n  1062→    return { success: false, error: 'AI features not configured - OPENAI_API_KEY not set' };\n  1063→  }\n  1064→\n  1065→  const prompt = `Clean up these rough sales notes into a structured format:\n  1066→\n  1067→LEAD: ${lead.first_name} ${lead.last_name || ''} - ${lead.company || 'Unknown'}\n  1068→\n  1069→ROUGH NOTES:\n  1070→${roughNotes}\n  1071→\n  1072→Respond with JSON:\n  1073→{\n  1074→  \"cleaned_notes\": \"Well-formatted, clear notes\",\n  1075→  \"key_points\": [\"Point 1\", \"Point 2\"],\n  1076→  \"action_items\": [\"Action 1\", \"Action 2\"],\n  1077→  \"sentiment\": \"positive|neutral|negative\",\n  1078→  \"follow_up_needed\": true|false,\n  1079→  \"suggested_follow_up\": \"What to do next\"\n  1080→}`;\n  1081→\n  1082→  try {\n  1083→    const response = await openai.chat.completions.create({\n  1084→      model: MODELS.SIMPLE,\n  1085→      messages: [{ role: 'user', content: prompt }],\n  1086→      response_format: { type: 'json_object' },\n  1087→      temperature: 0.3,\n  1088→    });\n  1089→\n  1090→    const cleaned = JSON.parse(response.choices[0].message.content);\n  1091→    return { success: true, cleaned };\n  1092→  } catch (error) {\n  1093→    console.error('Notes cleanup error:', error);\n  1094→    return { success: false, error: error.message };\n  1095→  }\n  1096→}\n  1097→\n  1098→/**\n  1099→ * Find similar leads who converted\n  1100→ */\n  1101→async function findSimilarWins(lead) {\n  1102→  if (!supabase) return { success: false, error: 'Database not configured' };\n  1103→\n  1104→  try {\n  1105→    // Find converted leads with similar characteristics\n  1106→    const { data: wins, error } = await supabase\n  1107→      .from('leads')\n  1108→      .select('id, first_name, company, source, score, metadata')\n  1109→      .eq('status', 'converted')\n  1110→      .limit(10);\n  1111→\n  1112→    if (error) throw error;\n  1113→\n  1114→    // Score similarity (simple matching for now)\n  1115→    const similarWins = wins.map(w => ({\n  1116→      id: w.id,\n  1117→      company: w.company,\n  1118→      source: w.source,\n  1119→      similarity: calculateSimilarity(lead, w),\n  1120→      key_factor: w.metadata?.conversion_factor || 'engagement',\n  1121→      touchpoints: w.metadata?.touchpoints || 5,\n  1122→    }))\n  1123→    .filter(w => w.similarity > 0.3)\n  1124→    .sort((a, b) => b.similarity - a.similarity)\n  1125→    .slice(0, 3);\n  1126→\n  1127→    return { success: true, similarWins };\n  1128→  } catch (error) {\n  1129→    console.error('Find similar wins error:', error);\n  1130→    return { success: false, error: error.message };\n  1131→  }\n  1132→}\n  1133→\n  1134→function calculateSimilarity(lead1, lead2) {\n  1135→  let score = 0;\n  1136→  if (lead1.source === lead2.source) score += 0.3;\n  1137→  if (lead1.company && lead2.company) {\n  1138→    // Simple company name similarity\n  1139→    const words1 = lead1.company.toLowerCase().split(' ');\n  1140→    const words2 = lead2.company.toLowerCase().split(' ');\n  1141→    const common = words1.filter(w => words2.includes(w)).length;\n  1142→    score += (common / Math.max(words1.length, words2.length)) * 0.3;\n  1143→  }\n  1144→  // Score range similarity\n  1145→  const scoreDiff = Math.abs((lead1.score || 0) - (lead2.score || 0));\n  1146→  score += Math.max(0, 0.4 - (scoreDiff / 100));\n  1147→  return score;\n  1148→}\n  1149→\n  1150→/**\n  1151→ * Extract intel from call transcript\n  1152→ * Identifies companies, projects, people, and other valuable intel\n  1153→ * Also extracts contractor intel when workers mention who they work for\n  1154→ */\n  1155→async function extractTranscriptIntel(transcript) {\n  1156→  if (!openai || !transcript || transcript.length < 50) {\n  1157→    return { success: false, error: 'Transcript too short or AI not configured' };\n  1158→  }\n  1159→\n  1160→  const prompt = `Analyze this sales call transcript and extract any valuable intel mentioned.\n  1161→\n  1162→TRANSCRIPT:\n  1163→\"${transcript}\"\n  1164→\n  1165→Extract and return JSON:\n  1166→{\n  1167→  \"companies_mentioned\": [\n  1168→    {\"name\": \"Company name\", \"context\": \"How it was mentioned\"}\n  1169→  ],\n  1170→  \"projects_mentioned\": [\n  1171→    {\"name\": \"Project name\", \"type\": \"construction/renovation/etc\", \"context\": \"Details mentioned\"}\n  1172→  ],\n  1173→  \"people_mentioned\": [\n  1174→    {\"name\": \"Person name\", \"role\": \"Their role if mentioned\", \"company\": \"Their company if mentioned\"}\n  1175→  ],\n  1176→  \"intel_nuggets\": [\n  1177→    {\"type\": \"budget/timeline/pain_point/competitor/opportunity\", \"detail\": \"The specific intel\"}\n  1178→  ],\n  1179→  \"company_to_research\": \"Main company name to research (if any new company was mentioned)\",\n  1180→  \"person_to_research\": {\"name\": \"Name\", \"company\": \"Company\"} or null,\n  1181→  \"contractor_intel\": {\n  1182→    \"company\": \"Company the worker works FOR (if mentioned, e.g., 'I work for ABC Construction')\",\n  1183→    \"project\": \"Current project/site they're working on (if mentioned)\",\n  1184→    \"hiring_manager_name\": \"Name of whoever does the hiring/their boss if mentioned\",\n  1185→    \"should_research\": true if they mentioned working for a company (good contractor lead opportunity)\n  1186→  }\n  1187→}\n  1188→\n  1189→IMPORTANT for contractor_intel:\n  1190→- Listen for phrases like \"I work for...\", \"my boss at...\", \"who does the hiring...\", \"we're working on...\"\n  1191→- We want to find the person who HIRES workers at their company\n  1192→- Only set should_research=true if they clearly mentioned a company they work for\n  1193→\n  1194→Only include actual companies/people mentioned in the call, not generic references.\n  1195→Return ONLY valid JSON.`;\n  1196→\n  1197→  try {\n  1198→    const response = await openai.chat.completions.create({\n  1199→      model: MODELS.SIMPLE,\n  1200→      messages: [{ role: 'user', content: prompt }],\n  1201→      response_format: { type: 'json_object' },\n  1202→      temperature: 0.3,\n  1203→    });\n  1204→\n  1205→    const intel = JSON.parse(response.choices[0].message.content);\n  1206→    return { success: true, intel };\n  1207→  } catch (error) {\n  1208→    console.error('Extract transcript intel error:', error);\n  1209→    return { success: false, error: error.message };\n  1210→  }\n  1211→}\n  1212→\n  1213→/**\n  1214→ * Extract PERSONAL intel from conversations (SMS + call transcripts)\n  1215→ * Finds family, hobbies, interests, weekend plans, etc.\n  1216→ * @param {string} leadId - Lead ID\n  1217→ * @returns {Promise<object>} Personal intel from conversations\n  1218→ */\n  1219→async function extractPersonalIntelFromConversations(leadId) {\n  1220→  if (!openai || !supabase) {\n  1221→    return { success: false, error: 'AI or database not configured' };\n  1222→  }\n  1223→\n  1224→  try {\n  1225→    // Get all communications for this lead\n  1226→    const { data: comms } = await supabase\n  1227→      .from('communications')\n  1228→      .select('content, direction, created_at')\n  1229→      .eq('lead_id', leadId)\n  1230→      .order('created_at', { ascending: false })\n  1231→      .limit(50);\n  1232→\n  1233→    // Get lead notes (may contain manually captured intel)\n  1234→    const { data: notes } = await supabase\n  1235→      .from('lead_notes')\n  1236→      .select('content, created_at')\n  1237→      .eq('lead_id', leadId)\n  1238→      .order('created_at', { ascending: false })\n  1239→      .limit(20);\n  1240→\n  1241→    // Get call transcripts from copilot sessions\n  1242→    const { data: sessions } = await supabase\n  1243→      .from('copilot_sessions')\n  1244→      .select('transcript, created_at')\n  1245→      .eq('lead_id', leadId)\n  1246→      .not('transcript', 'is', null)\n  1247→      .order('created_at', { ascending: false })\n  1248→      .limit(10);\n  1249→\n  1250→    // Build conversation history\n  1251→    const conversationText = [];\n  1252→\n  1253→    if (comms && comms.length > 0) {\n  1254→      conversationText.push('=== SMS MESSAGES ===');\n  1255→      comms.forEach(c => {\n  1256→        conversationText.push(`[${c.direction}]: ${c.content}`);\n  1257→      });\n  1258→    }\n  1259→\n  1260→    if (sessions && sessions.length > 0) {\n  1261→      conversationText.push('\\n=== CALL TRANSCRIPTS ===');\n  1262→      sessions.forEach(s => {\n  1263→        if (s.transcript && s.transcript.length > 20) {\n  1264→          conversationText.push(s.transcript.substring(0, 2000)); // Limit length\n  1265→        }\n  1266→      });\n  1267→    }\n  1268→\n  1269→    if (notes && notes.length > 0) {\n  1270→      conversationText.push('\\n=== NOTES ===');\n  1271→      notes.forEach(n => {\n  1272→        conversationText.push(n.content);\n  1273→      });\n  1274→    }\n  1275→\n  1276→    const allText = conversationText.join('\\n');\n  1277→\n  1278→    if (allText.length < 50) {\n  1279→      return { success: true, intel: null, reason: 'Not enough conversation history' };\n  1280→    }\n  1281→\n  1282→    // Ask AI to extract BOTH personal AND business intel\n  1283→    const prompt = `Analyze these conversations with a lead and extract PERSONAL and BUSINESS information they've mentioned.\n  1284→\n  1285→CONVERSATIONS:\n  1286→${allText.substring(0, 8000)}\n  1287→\n  1288→Extract details they've ACTUALLY mentioned (not assumed). Return JSON:\n  1289→{\n  1290→  \"personal\": {\n  1291→    \"family\": {\n  1292→      \"status\": \"married/single/divorced or null if not mentioned\",\n  1293→      \"kids\": \"2 kids, daughter plays netball\" or null,\n  1294→      \"partner_name\": \"Wife's name is Sarah\" or null\n  1295→    },\n  1296→    \"hobbies_mentioned\": [\n  1297→      {\"hobby\": \"fishing\", \"detail\": \"Goes to Lake Eucumbene on weekends\", \"mentioned_when\": \"SMS on Tuesday\"}\n  1298→    ],\n  1299→    \"interests_mentioned\": [\n  1300→      {\"interest\": \"property investment\", \"detail\": \"Looking at a block in Penrith\", \"mentioned_when\": \"Call last week\"}\n  1301→    ],\n  1302→    \"weekend_plans\": \"Going camping at Jindabyne\" or null,\n  1303→    \"sports_teams\": [\"Parramatta Eels\", \"NSW Blues\"],\n  1304→    \"personality_traits\": [\"straight-shooter\", \"family-oriented\", \"busy\"],\n  1305→    \"pet_peeves\": [\"unreliable workers\", \"no-shows\"],\n  1306→    \"important_dates\": [\n  1307→      {\"date\": \"Next weekend\", \"event\": \"Camping trip to Jindabyne\"}\n  1308→    ]\n  1309→  },\n  1310→  \"business\": {\n  1311→    \"current_employer\": {\n  1312→      \"company_name\": \"ABC Construction\" or null,\n  1313→      \"role\": \"Foreman / Labourer / Steelfixer\" or null,\n  1314→      \"how_long\": \"Been there 3 years\" or null\n  1315→    },\n  1316→    \"previous_employers\": [\n  1317→      {\"company\": \"XYZ Formwork\", \"role\": \"Labourer\", \"detail\": \"Left because pay was bad\"}\n  1318→    ],\n  1319→    \"location\": {\n  1320→      \"lives_in\": \"Blacktown\" or null,\n  1321→      \"works_in\": \"Western Sydney, sometimes CBD\" or null,\n  1322→      \"willing_to_travel\": \"Up to 1 hour\" or null\n  1323→    },\n  1324→    \"company_size\": \"Small team of 5\" or \"Big company, 50+ workers\" or null,\n  1325→    \"pain_points\": [\n  1326→      {\"issue\": \"Hard to find reliable workers\", \"detail\": \"Had 3 no-shows last week\"},\n  1327→      {\"issue\": \"Agency fees too high\", \"detail\": \"Paying 35% markup\"}\n  1328→    ],\n  1329→    \"current_projects\": [\n  1330→      {\"project\": \"Westmead Hospital\", \"detail\": \"6 month job, needs more formworkers\"}\n  1331→    ],\n  1332→    \"hiring_needs\": {\n  1333→      \"looking_for\": [\"formworkers\", \"steelfixers\"] or null,\n  1334→      \"urgency\": \"Needs someone Monday\" or null,\n  1335→      \"quantity\": \"2-3 guys\" or null\n  1336→    },\n  1337→    \"budget_signals\": {\n  1338→      \"hourly_rate_mentioned\": \"$45/hr\" or null,\n  1339→      \"willing_to_pay\": \"Happy to pay good money for reliable workers\" or null\n  1340→    },\n  1341→    \"decision_timeline\": \"Needs to decide by Friday\" or null,\n  1342→    \"competitors_mentioned\": [\"Chandler Macleod\", \"Hays\"] or null\n  1343→  },\n  1344→  \"conversation_starters\": [\n  1345→    \"Ask about the Westmead project - is it going well?\",\n  1346→    \"Follow up on the formworkers they mentioned needing\",\n  1347→    \"Ask if the reliability issue with agencies has improved\"\n  1348→  ],\n  1349→  \"location_details\": \"Lives in Blacktown, works sites in Western Sydney\"\n  1350→}\n  1351→\n  1352→IMPORTANT:\n  1353→- Only include things they ACTUALLY said in conversations - don't assume or make up details\n  1354→- Include the context of when/how they mentioned it\n  1355→- Business intel is critical for sales - capture pain points, needs, timeline\n  1356→- Conversation starters should focus on WORK/BUSINESS topics only (projects, hiring needs, pain points)\n  1357→- AVOID personal conversation starters (family, hobbies, trips) - these feel intrusive unless they brought it up repeatedly\n  1358→- If something wasn't mentioned, use null or empty array\n  1359→\n  1360→Return ONLY valid JSON.`;\n  1361→\n  1362→    const response = await openai.chat.completions.create({\n  1363→      model: MODELS.SIMPLE,\n  1364→      messages: [{ role: 'user', content: prompt }],\n  1365→      response_format: { type: 'json_object' },\n  1366→      temperature: 0.3,\n  1367→    });\n  1368→\n  1369→    const intel = JSON.parse(response.choices[0].message.content);\n  1370→    return { success: true, intel };\n  1371→\n  1372→  } catch (error) {\n  1373→    console.error('Extract personal intel error:', error);\n  1374→    return { success: false, error: error.message };\n  1375→  }\n  1376→}\n  1377→\n  1378→/**\n  1379→ * Save extracted intel to lead_intel table\n  1380→ * Called after calls to persist personal + business intel\n  1381→ * @param {string} leadId - Lead ID\n  1382→ * @param {object} intel - Extracted intel from extractPersonalIntelFromConversations\n  1383→ * @returns {Promise<object>} Save result\n  1384→ */\n  1385→async function saveExtractedIntel(leadId, intel) {\n  1386→  if (!supabase || !intel) {\n  1387→    return { success: false, error: 'Database not configured or no intel to save' };\n  1388→  }\n  1389→\n  1390→  try {\n  1391→    const personal = intel.personal || {};\n  1392→    const business = intel.business || {};\n  1393→\n  1394→    // Build arrays from extracted data\n  1395→    const hobbies = (personal.hobbies_mentioned || []).map(h => h.hobby).filter(Boolean);\n  1396→    const interests = (personal.interests_mentioned || []).map(i => i.interest).filter(Boolean);\n  1397→    const sportsTeams = personal.sports_teams || [];\n  1398→\n  1399→    // Build conversation starters\n  1400→    const conversationStarters = intel.conversation_starters || [];\n  1401→\n  1402→    // Build business intel as JSONB\n  1403→    const businessIntel = {\n  1404→      current_employer: business.current_employer || null,\n  1405→      previous_employers: business.previous_employers || [],\n  1406→      company_size: business.company_size || null,\n  1407→      pain_points: business.pain_points || [],\n  1408→      current_projects: business.current_projects || [],\n  1409→      hiring_needs: business.hiring_needs || null,\n  1410→      budget_signals: business.budget_signals || null,\n  1411→      decision_timeline: business.decision_timeline || null,\n  1412→      competitors_mentioned: business.competitors_mentioned || [],\n  1413→    };\n  1414→\n  1415→    // Build personal news JSONB (includes family, dates, etc.)\n  1416→    const personalNews = {\n  1417→      family: personal.family || null,\n  1418→      weekend_plans: personal.weekend_plans || null,\n  1419→      important_dates: personal.important_dates || [],\n  1420→      pet_peeves: personal.pet_peeves || [],\n  1421→      personality_traits: personal.personality_traits || [],\n  1422→      sports_teams: sportsTeams,\n  1423→    };\n  1424→\n  1425→    // Location details\n  1426→    const locationSuburb = business.location?.lives_in || intel.location_details || null;\n  1427→\n  1428→    // Check if lead_intel exists for this lead\n  1429→    const { data: existing } = await supabase\n  1430→      .from('lead_intel')\n  1431→      .select('id, hobbies, interests, conversation_starters')\n  1432→      .eq('lead_id', leadId)\n  1433→      .single();\n  1434→\n  1435→    if (existing) {\n  1436→      // Merge with existing data (don't overwrite, append new items)\n  1437→      const mergedHobbies = [...new Set([...(existing.hobbies || []), ...hobbies])];\n  1438→      const mergedInterests = [...new Set([...(existing.interests || []), ...interests])];\n  1439→      const mergedStarters = [...new Set([...(existing.conversation_starters || []), ...conversationStarters])].slice(0, 10);\n  1440→\n  1441→      const { error: updateError } = await supabase\n  1442→        .from('lead_intel')\n  1443→        .update({\n  1444→          hobbies: mergedHobbies.length > 0 ? mergedHobbies : existing.hobbies,\n  1445→          interests: mergedInterests.length > 0 ? mergedInterests : existing.interests,\n  1446→          conversation_starters: mergedStarters.length > 0 ? mergedStarters : existing.conversation_starters,\n  1447→          family_status: personal.family?.status || existing.family_status,\n  1448→          location_suburb: locationSuburb || existing.location_suburb,\n  1449→          personal_news: personalNews,\n  1450→          business_intel: businessIntel,\n  1451→        })\n  1452→        .eq('id', existing.id);\n  1453→\n  1454→      if (updateError) {\n  1455→        console.error('[SaveIntel] Update error:', updateError);\n  1456→        return { success: false, error: updateError.message };\n  1457→      }\n  1458→\n  1459→      console.log(`[SaveIntel] Updated intel for lead ${leadId}: ${hobbies.length} hobbies, ${interests.length} interests, ${(business.pain_points || []).length} pain points`);\n  1460→    } else {\n  1461→      // Insert new record\n  1462→      const { error: insertError } = await supabase\n  1463→        .from('lead_intel')\n  1464→        .insert({\n  1465→          lead_id: leadId,\n  1466→          hobbies: hobbies.length > 0 ? hobbies : null,\n  1467→          interests: interests.length > 0 ? interests : null,\n  1468→          conversation_starters: conversationStarters.length > 0 ? conversationStarters : null,\n  1469→          family_status: personal.family?.status || null,\n  1470→          location_suburb: locationSuburb,\n  1471→          personal_news: personalNews,\n  1472→          business_intel: businessIntel,\n  1473→        });\n  1474→\n  1475→      if (insertError) {\n  1476→        console.error('[SaveIntel] Insert error:', insertError);\n  1477→        return { success: false, error: insertError.message };\n  1478→      }\n  1479→\n  1480→      console.log(`[SaveIntel] Created intel for lead ${leadId}`);\n  1481→    }\n  1482→\n  1483→    // Also update lead metadata with key business signals\n  1484→    if (business.hiring_needs || business.pain_points?.length > 0) {\n  1485→      const { data: lead } = await supabase\n  1486→        .from('leads')\n  1487→        .select('metadata')\n  1488→        .eq('id', leadId)\n  1489→        .single();\n  1490→\n  1491→      const metadata = lead?.metadata || {};\n  1492→      metadata.business_intel = {\n  1493→        has_pain_points: (business.pain_points || []).length > 0,\n  1494→        is_hiring: !!business.hiring_needs?.looking_for,\n  1495→        decision_timeline: business.decision_timeline,\n  1496→        last_intel_update: new Date().toISOString(),\n  1497→      };\n  1498→\n  1499→      await supabase\n  1500→        .from('leads')\n  1501→        .update({ metadata })\n  1502→        .eq('id', leadId);\n  1503→    }\n  1504→\n  1505→    return { success: true, saved: true };\n  1506→\n  1507→  } catch (error) {\n  1508→    console.error('[SaveIntel] Error:', error);\n  1509→    return { success: false, error: error.message };\n  1510→  }\n  1511→}\n  1512→\n  1513→/**\n  1514→ * Extract and save intel from a call transcript\n  1515→ * Called automatically after calls end\n  1516→ * @param {string} leadId - Lead ID\n  1517→ * @returns {Promise<object>} Extraction + save result\n  1518→ */\n  1519→async function extractAndSaveCallIntel(leadId) {\n  1520→  console.log(`[Intel] Extracting and saving intel for lead ${leadId}`);\n  1521→\n  1522→  // Extract intel from all conversations\n  1523→  const extractResult = await extractPersonalIntelFromConversations(leadId);\n  1524→\n  1525→  if (!extractResult.success || !extractResult.intel) {\n  1526→    console.log(`[Intel] No intel extracted for lead ${leadId}:`, extractResult.reason || extractResult.error);\n  1527→    return { success: false, reason: extractResult.reason || extractResult.error };\n  1528→  }\n  1529→\n  1530→  // Save to database\n  1531→  const saveResult = await saveExtractedIntel(leadId, extractResult.intel);\n  1532→\n  1533→  return {\n  1534→    success: saveResult.success,\n  1535→    extracted: extractResult.intel,\n  1536→    saved: saveResult.saved,\n  1537→  };\n  1538→}\n  1539→\n  1540→/**\n  1541→ * Parse contact info (name + phone) from SMS reply\n  1542→ * Used for worker referral contact extraction\n  1543→ */\n  1544→async function parseContactFromSMS(message) {\n  1545→  if (!openai) {\n  1546→    return { success: false, error: 'AI features not configured' };\n  1547→  }\n  1548→\n  1549→  // Quick regex check for phone number first\n  1550→  const phonePatterns = [\n  1551→    /\\b0\\d{3}[\\s.-]?\\d{3}[\\s.-]?\\d{3}\\b/,  // 0412 345 678 or 0412-345-678\n  1552→    /\\b\\+61\\s?\\d{3}[\\s.-]?\\d{3}[\\s.-]?\\d{3}\\b/, // +61 412 345 678\n  1553→    /\\b\\d{10}\\b/, // 0412345678\n  1554→  ];\n  1555→\n  1556→  let hasPhoneLike = phonePatterns.some(p => p.test(message));\n  1557→\n  1558→  // If no phone pattern found, likely not a contact reply\n  1559→  if (!hasPhoneLike) {\n  1560→    return { success: true, hasContact: false };\n  1561→  }\n  1562→\n  1563→  const prompt = `Extract contact info from this SMS message. The user is providing their hiring manager/boss's contact details.\n  1564→\n  1565→MESSAGE:\n  1566→\"${message}\"\n  1567→\n  1568→Return JSON:\n  1569→{\n  1570→  \"hasContact\": true/false,\n  1571→  \"name\": \"Full name (first and last if provided)\",\n  1572→  \"first_name\": \"First name\",\n  1573→  \"last_name\": \"Last name (or empty)\",\n  1574→  \"phone\": \"Phone number in format 0412345678 (just digits)\",\n  1575→  \"job_title\": \"Job title if mentioned (e.g., 'hiring manager', 'operations manager', 'boss')\",\n  1576→  \"company\": \"Company if mentioned\",\n  1577→  \"confidence\": 0.0-1.0 confidence score\n  1578→}\n  1579→\n  1580→If no valid contact info found, return: { \"hasContact\": false }\n  1581→Normalize Australian phone numbers to 10 digits (0412345678 format).\n  1582→Return ONLY valid JSON.`;\n  1583→\n  1584→  try {\n  1585→    const response = await openai.chat.completions.create({\n  1586→      model: MODELS.SIMPLE,\n  1587→      messages: [{ role: 'user', content: prompt }],\n  1588→      response_format: { type: 'json_object' },\n  1589→      temperature: 0.1,\n  1590→    });\n  1591→\n  1592→    const result = JSON.parse(response.choices[0].message.content);\n  1593→    return { success: true, ...result };\n  1594→  } catch (error) {\n  1595→    console.error('Parse contact from SMS error:', error);\n  1596→    return { success: false, error: error.message };\n  1597→  }\n  1598→}\n  1599→\n  1600→/**\n  1601→ * Generate AI insight for re-engaged lead\n  1602→ * Analyzes why a lead might be coming back and suggests talking points\n  1603→ */\n  1604→async function generateReEngagedInsight(lead, previousHistory = []) {\n  1605→  if (!openai) {\n  1606→    return null; // Return null if AI not configured\n  1607→  }\n  1608→\n  1609→  // Build history summary\n  1610→  let historySummary = 'No previous history';\n  1611→  if (previousHistory && previousHistory.length > 0) {\n  1612→    historySummary = previousHistory.slice(0, 5).map(h => {\n  1613→      const date = new Date(h.created_at).toLocaleDateString('en-AU');\n  1614→      const type = h.type?.replace('_', ' ') || 'unknown';\n  1615→      const snippet = h.content?.substring(0, 80) || '';\n  1616→      return `- ${date} [${type}]: ${snippet}${snippet.length >= 80 ? '...' : ''}`;\n  1617→    }).join('\\n');\n  1618→  }\n  1619→\n  1620→  // Calculate time since last contact\n  1621→  const lastContactDate = lead.last_contact_at ? new Date(lead.last_contact_at) : null;\n  1622→  const daysSinceContact = lastContactDate\n  1623→    ? Math.floor((Date.now() - lastContactDate.getTime()) / (1000 * 60 * 60 * 24))\n  1624→    : null;\n  1625→\n  1626→  const prompt = `A lead just signed up on our website AGAIN. They were already in our CRM. Analyze why they might be coming back and suggest how to approach them.\n  1627→\n  1628→LEAD INFO:\n  1629→- Name: ${lead.first_name || ''} ${lead.last_name || ''}\n  1630→- Company: ${lead.company || 'Unknown'}\n  1631→- Previous Status: ${lead.status || 'unknown'}\n  1632→- Previous Score: ${lead.score || 0}\n  1633→- Days Since Last Contact: ${daysSinceContact !== null ? daysSinceContact : 'Unknown'}\n  1634→\n  1635→PREVIOUS COMMUNICATIONS:\n  1636→${historySummary}\n  1637→\n  1638→CONTEXT:\n  1639→- RateRight is a worker marketplace (9.9% fee vs 30-40% agency margins)\n  1640→- They're signing up again = high intent signal\n  1641→- This is a hot opportunity\n  1642→\n  1643→Generate ONE short insight (1-2 sentences) about why they might be back and how to approach them.\n  1644→Be specific and actionable. This will be shown to the sales rep as they call.\n  1645→\n  1646→Examples of good insights:\n  1647→- \"Back after 3 months - previously objected on price. Market rates have increased, perfect time to revisit the savings pitch.\"\n  1648→- \"Re-engaged after missing our calls last week. They're ready now - don't let them slip away!\"\n  1649→- \"Signed up again 2 days after our follow-up SMS. The message landed - they're interested.\"\n  1650→\n  1651→Respond with just the insight text (no JSON, no quotes, just the insight).`;\n  1652→\n  1653→  try {\n  1654→    const response = await openai.chat.completions.create({\n  1655→      model: MODELS.SIMPLE,\n  1656→      messages: [{ role: 'user', content: prompt }],\n  1657→      temperature: 0.7,\n  1658→      max_tokens: 100,\n  1659→    });\n  1660→\n  1661→    const insight = response.choices[0].message.content.trim();\n  1662→    return insight;\n  1663→  } catch (error) {\n  1664→    console.error('Re-engaged insight generation error:', error);\n  1665→    return null;\n  1666→  }\n  1667→}\n  1668→\n  1669→/**\n  1670→ * Extract lead corrections/updates from call transcript\n  1671→ * Detects when the person corrects their name, gives a new number, etc.\n  1672→ */\n  1673→async function extractLeadCorrections(transcript, currentLead) {\n  1674→  if (!openai || !transcript || transcript.length < 20) {\n  1675→    return { success: true, corrections: [] };\n  1676→  }\n  1677→\n  1678→  const prompt = `Analyze this call transcript and identify any CORRECTIONS or UPDATES to the person's contact information.\n  1679→\n  1680→CURRENT LEAD INFO:\n  1681→- Name: ${currentLead.first_name || ''} ${currentLead.last_name || ''}\n  1682→- Company: ${currentLead.company || 'Unknown'}\n  1683→- Phone: ${currentLead.phone || 'Unknown'}\n  1684→- Email: ${currentLead.email || 'Unknown'}\n  1685→\n  1686→TRANSCRIPT:\n  1687→\"${transcript}\"\n  1688→\n  1689→Look for:\n  1690→1. Name corrections: \"Actually my name is...\", \"It's John, not James\", \"Call me...\"\n  1691→2. New phone numbers: \"My new number is...\", \"You can reach me at...\", \"My mobile is...\"\n  1692→3. Email addresses: \"My email is...\", \"Send it to...\"\n  1693→4. Company changes: \"I work for ... now\", \"I'm at ... company\", \"I moved to...\"\n  1694→5. Job title mentions: \"I'm the site manager\", \"I'm a foreman\", \"I'm the hiring manager\"\n  1695→\n  1696→Return JSON:\n  1697→{\n  1698→  \"corrections\": [\n  1699→    {\n  1700→      \"field\": \"first_name|last_name|phone|email|company|job_title\",\n  1701→      \"old_value\": \"Current value (or null if not set)\",\n  1702→      \"new_value\": \"What they said\",\n  1703→      \"confidence\": 0.0-1.0,\n  1704→      \"quote\": \"The exact phrase they said\"\n  1705→    }\n  1706→  ]\n  1707→}\n  1708→\n  1709→IMPORTANT:\n  1710→- Only include CLEAR corrections/updates, not assumptions\n  1711→- Phone numbers should be in Australian format (0412 xxx xxx or +614...)\n  1712→- Be confident - only include if they clearly stated the info\n  1713→- Return empty corrections array if nothing was mentioned\n  1714→\n  1715→Return ONLY valid JSON.`;\n  1716→\n  1717→  try {\n  1718→    const response = await openai.chat.completions.create({\n  1719→      model: MODELS.SIMPLE,\n  1720→      messages: [{ role: 'user', content: prompt }],\n  1721→      response_format: { type: 'json_object' },\n  1722→      temperature: 0.2,\n  1723→    });\n  1724→\n  1725→    const result = JSON.parse(response.choices[0].message.content);\n  1726→    return { success: true, corrections: result.corrections || [] };\n  1727→  } catch (error) {\n  1728→    console.error('Lead correction extraction error:', error);\n  1729→    return { success: false, error: error.message, corrections: [] };\n  1730→  }\n  1731→}\n  1732→\n  1733→/**\n  1734→ * AI-Powered Script Generation\n  1735→ * Analyzes lead context and GENERATES a personalized script (not just picks from library)\n  1736→ */\n  1737→async function recommendScriptForLead(leadId) {\n  1738→  if (!openai) {\n  1739→    return { success: false, error: 'AI features not configured' };\n  1740→  }\n  1741→\n  1742→  if (!supabase) {\n  1743→    return { success: false, error: 'Database not configured' };\n  1744→  }\n  1745→\n  1746→  try {\n  1747→    // 1. Get lead with full context\n  1748→    const { data: lead, error: leadError } = await supabase\n  1749→      .from('leads')\n  1750→      .select('*')\n  1751→      .eq('id', leadId)\n  1752→      .single();\n  1753→\n  1754→    if (leadError || !lead) {\n  1755→      return { success: false, error: 'Lead not found' };\n  1756→    }\n  1757→\n  1758→    // 2. Get recent communications\n  1759→    const { data: comms } = await supabase\n  1760→      .from('communications')\n  1761→      .select('direction, content, created_at, sentiment')\n  1762→      .eq('lead_id', leadId)\n  1763→      .order('created_at', { ascending: false })\n  1764→      .limit(10);\n  1765→\n  1766→    // 3. Get previous objections from copilot sessions\n  1767→    const { data: sessions } = await supabase\n  1768→      .from('copilot_sessions')\n  1769→      .select('objections_detected, outcome')\n  1770→      .eq('lead_id', leadId)\n  1771→      .order('created_at', { ascending: false })\n  1772→      .limit(5);\n  1773→\n  1774→    const previousObjections = [];\n  1775→    (sessions || []).forEach(s => {\n  1776→      if (s.objections_detected && Array.isArray(s.objections_detected)) {\n  1777→        s.objections_detected.forEach(obj => {\n  1778→          previousObjections.push({\n  1779→            objection: obj.objection || obj,\n  1780→            wasOvercome: s.outcome === 'positive' || s.outcome === 'callback'\n  1781→          });\n  1782→        });\n  1783→      }\n  1784→    });\n  1785→\n  1786→    // 4. Get similar wins\n  1787→    const similarWinsResult = await findSimilarWins(lead);\n  1788→    const similarWins = similarWinsResult?.similarWins || [];\n  1789→\n  1790→    // 5. Get example scripts for style reference\n  1791→    const leadType = lead.lead_type || (lead.metadata?.lead_type) || 'both';\n  1792→    const { data: exampleScripts } = await supabase\n  1793→      .from('scripts')\n  1794→      .select('name, content, opening, category')\n  1795→      .eq('is_active', true)\n  1796→      .limit(5);\n  1797→\n  1798→    // 6. Get company/person intel if available\n  1799→    const { data: companyIntel } = await supabase\n  1800→      .from('company_intel')\n  1801→      .select('*')\n  1802→      .eq('company_name', lead.company)\n  1803→      .order('created_at', { ascending: false })\n  1804→      .limit(1)\n  1805→      .single();\n  1806→\n  1807→    // Calculate context\n  1808→    const daysSinceContact = lead.last_contact_at\n  1809→      ? Math.floor((Date.now() - new Date(lead.last_contact_at).getTime()) / (1000 * 60 * 60 * 24))\n  1810→      : 999;\n  1811→\n  1812→    // 7. AI GENERATES personalized script\n  1813→    const prompt = `You are an elite sales coach for RateRight, Australia's #1 tradie marketplace.\n  1814→\n  1815→Your job: Write a PERSONALIZED call script for this specific lead. Not a template - a script tailored to THIS person based on everything we know about them.\n  1816→\n  1817→═══════════════════════════════════════════════════════════════\n  1818→ABOUT RATERIGHT (use this in your pitch):\n  1819→- Marketplace connecting contractors with workers DIRECTLY (not an agency)\n  1820→- Contractors: FREE to use, post jobs and get matched\n  1821→- Workers: 9.9% platform fee (vs 30-40% agency fees)\n  1822→- Rating system shows worker reliability before booking\n  1823→- Same-day matching for urgent jobs\n  1824→═══════════════════════════════════════════════════════════════\n  1825→\n  1826→LEAD PROFILE:\n  1827→- Name: ${lead.first_name} ${lead.last_name || ''}\n  1828→- Company: ${lead.company || 'Unknown'}\n  1829→- Type: ${leadType} (${leadType === 'worker' ? 'looking for work' : leadType === 'contractor' ? 'hiring workers' : 'unknown'})\n  1830→- Trade: ${lead.metadata?.trade || lead.trade || 'Unknown trade'}\n  1831→- Location: ${lead.metadata?.region || lead.region || 'Unknown'}\n  1832→- Score: ${lead.score || 0}/100 (${lead.score >= 70 ? 'HOT' : lead.score >= 50 ? 'WARM' : 'COOL'})\n  1833→- Status: ${lead.status || 'new'}\n  1834→- Days since last contact: ${daysSinceContact}\n  1835→- Source: ${lead.source || 'Unknown'}\n  1836→\n  1837→COMMUNICATION HISTORY:\n  1838→${(comms || []).slice(0, 5).map(c => `[${c.direction}] \"${(c.content || '').substring(0, 100)}\"`).join('\\n') || 'No previous communications - this is first contact'}\n  1839→\n  1840→${previousObjections.length > 0 ? `\n  1841→OBJECTIONS THEY'VE RAISED BEFORE:\n  1842→${previousObjections.map(o => `- \"${o.objection}\" ${o.wasOvercome ? '(we overcame this)' : '(still a concern)'}`).join('\\n')}\n  1843→` : ''}\n  1844→\n  1845→${(similarWins || []).length > 0 ? `\n  1846→WHAT WORKED ON SIMILAR LEADS:\n  1847→${similarWins.slice(0, 3).map(w => `- ${w.what_worked}`).join('\\n')}\n  1848→` : ''}\n  1849→\n  1850→${companyIntel ? `\n  1851→COMPANY INTEL:\n  1852→- Industry: ${companyIntel.industry || 'Unknown'}\n  1853→- Size: ${companyIntel.size || 'Unknown'}\n  1854→- Sales Angle: ${companyIntel.sales_angle || 'None identified'}\n  1855→` : ''}\n  1856→\n  1857→EXAMPLE SCRIPTS FOR TONE/STYLE REFERENCE:\n  1858→${(exampleScripts || []).slice(0, 2).map(s => `\"${s.content?.substring(0, 150) || s.opening?.substring(0, 150) || ''}...\"`).join('\\n')}\n  1859→\n  1860→═══════════════════════════════════════════════════════════════\n  1861→NOW GENERATE A PERSONALIZED SCRIPT FOR ${lead.first_name}:\n  1862→═══════════════════════════════════════════════════════════════\n  1863→\n  1864→Respond in JSON:\n  1865→{\n  1866→  \"script\": {\n  1867→    \"name\": \"Personalized script for ${lead.first_name}\",\n  1868→    \"opening\": \"The exact words to say when they pick up (personalized to them)\",\n  1869→    \"discovery_questions\": [\n  1870→      {\"question\": \"Question tailored to their situation\", \"why\": \"Why ask this\"},\n  1871→      {\"question\": \"Another relevant question\", \"why\": \"Why ask this\"}\n  1872→    ],\n  1873→    \"value_props\": [\n  1874→      {\"prop\": \"Value prop relevant to THEIR situation\", \"whenToUse\": \"When to mention this\"},\n  1875→      {\"prop\": \"Another relevant value prop\", \"whenToUse\": \"When to mention this\"}\n  1876→    ],\n  1877→    \"objection_handlers\": [\n  1878→      {\"objection\": \"Likely objection based on their history\", \"response\": \"How to handle it\"}\n  1879→    ],\n  1880→    \"closing_techniques\": [\n  1881→      {\"name\": \"Primary close\", \"script\": \"Exact words to close the call\"},\n  1882→      {\"name\": \"Fallback close\", \"script\": \"If primary doesn't work\"}\n  1883→    ]\n  1884→  },\n  1885→  \"reason\": \"Why this script will work for this specific lead\",\n  1886→  \"confidence\": 0.0 to 1.0,\n  1887→  \"callStrategy\": {\n  1888→    \"approach\": \"consultative/direct/relationship/urgent\",\n  1889→    \"timeEstimate\": \"5-7 min\",\n  1890→    \"primaryGoal\": \"Main objective for this call\",\n  1891→    \"fallbackGoal\": \"If primary fails, aim for this\",\n  1892→    \"keyInsight\": \"The one thing that will make or break this call\"\n  1893→  }\n  1894→}`;\n  1895→\n  1896→    console.log('Generating personalized script for lead:', leadId);\n  1897→\n  1898→    const response = await openai.chat.completions.create({\n  1899→      model: MODELS.REASONING, // Use GPT-4o for better quality\n  1900→      messages: [{ role: 'user', content: prompt }],\n  1901→      response_format: { type: 'json_object' },\n  1902→      temperature: 0.7,\n  1903→    });\n  1904→\n  1905→    const result = JSON.parse(response.choices[0].message.content);\n  1906→\n  1907→    console.log('Script generated successfully for:', lead.first_name);\n  1908→\n  1909→    return {\n  1910→      success: true,\n  1911→      recommendation: {\n  1912→        script: result.script,\n  1913→        reason: result.reason,\n  1914→        confidence: result.confidence || 0.8,\n  1915→        callStrategy: result.callStrategy || {},\n  1916→        isPersonalized: true\n  1917→      }\n  1918→    };\n  1919→\n  1920→  } catch (error) {\n  1921→    console.error('Script generation error:', error.message);\n  1922→    console.error('Script generation stack:', error.stack);\n  1923→    return { success: false, error: `Script generation failed: ${error.message}` };\n  1924→  }\n  1925→}\n  1926→\n  1927→/**\n  1928→ * Quick intel extraction from a single message\n  1929→ * Lightweight - runs on every inbound SMS/voicemail\n  1930→ * @param {string} content - Message text or transcript\n  1931→ * @param {string} source - 'sms', 'voicemail', 'inbound_call'\n  1932→ * @returns {Promise<object>} Quick intel extraction result\n  1933→ */\n  1934→async function extractQuickIntel(content, source) {\n  1935→  if (!openai) {\n  1936→    return { success: false, error: 'AI not configured' };\n  1937→  }\n  1938→\n  1939→  // Skip very short messages\n  1940→  if (!content || content.length < 15) {\n  1941→    return { success: true, hasSignificantIntel: false, reason: 'Message too short' };\n  1942→  }\n  1943→\n  1944→  try {\n  1945→    const response = await openai.chat.completions.create({\n  1946→      model: MODELS.SIMPLE, // GPT-4o-mini for speed/cost\n  1947→      messages: [{\n  1948→        role: 'system',\n  1949→        content: `Extract key intel from this ${source} message. Be concise and only include what's explicitly mentioned.\n  1950→\n  1951→Return JSON:\n  1952→{\n  1953→  \"locations\": [\"suburb or area mentioned\"],\n  1954→  \"headcount\": \"number of workers needed if mentioned, or null\",\n  1955→  \"timeline\": \"when they need it, or null\",\n  1956→  \"trade\": \"trade type if mentioned (formwork, electrical, etc), or null\",\n  1957→  \"objection\": \"any concern or pushback mentioned, or null\",\n  1958→  \"question\": \"any question they asked, or null\",\n  1959→  \"decisionMaker\": \"other person mentioned who influences decision (partner, boss, accountant), or null\",\n  1960→  \"companyMentioned\": \"company name if mentioned, or null\",\n  1961→  \"projectMentioned\": \"project or site name if mentioned, or null\",\n  1962→  \"callbackRequested\": true/false,\n  1963→  \"urgency\": \"high/medium/low/none\",\n  1964→  \"personalIntel\": {\n  1965→    \"family\": \"kids mentioned, partner mentioned, etc. or null\",\n  1966→    \"hobby\": \"any hobby or interest mentioned (fishing, footy, golf, etc.) or null\",\n  1967→    \"event\": \"event they're at or going to (soccer game, camping, wedding, etc.) or null\",\n  1968→    \"conversationHook\": \"brief follow-up question for next call (e.g. 'Ask about the soccer game') or null\"\n  1969→  },\n  1970→  \"hasSignificantIntel\": true if any meaningful business OR personal intel found, false otherwise\n  1971→}`\n  1972→      }, {\n  1973→        role: 'user',\n  1974→        content: content\n  1975→      }],\n  1976→      response_format: { type: 'json_object' },\n  1977→      max_tokens: 400,\n  1978→      temperature: 0.1,\n  1979→    });\n  1980→\n  1981→    const result = JSON.parse(response.choices[0].message.content);\n  1982→    return { success: true, ...result };\n  1983→\n  1984→  } catch (error) {\n  1985→    console.error('[QuickIntel] Extraction error:', error.message);\n  1986→    return { success: false, error: error.message, hasSignificantIntel: false };\n  1987→  }\n  1988→}\n  1989→\n  1990→/**\n  1991→ * Extract intel from any inbound communication\n  1992→ * Runs async after webhook responds - doesn't slow down Twilio\n  1993→ * @param {string} leadId - Lead UUID\n  1994→ * @param {string} content - Message text or transcript\n  1995→ * @param {string} source - 'sms', 'voicemail', 'inbound_call'\n  1996→ * @returns {Promise<object>} Extraction result\n  1997→ */\n  1998→async function extractInboundIntel(leadId, content, source) {\n  1999→  console.log(`[InboundIntel] Processing ${source} for lead ${leadId}`);\n  2000→\n  2001→  // Skip if content too short\n  2002→  if (!content || content.length < 15) {\n  2003→    console.log(`[InboundIntel] Skipping - content too short`);\n  2004→    return { success: false, reason: 'Content too short' };\n  2005→  }\n  2006→\n  2007→  try {\n  2008→    // Step 1: Quick extraction from this specific message\n  2009→    const quickIntel = await extractQuickIntel(content, source);\n  2010→\n  2011→    if (!quickIntel.success) {\n  2012→      console.log(`[InboundIntel] Quick extraction failed:`, quickIntel.error);\n  2013→      return { success: false, error: quickIntel.error };\n  2014→    }\n  2015→\n  2016→    console.log(`[InboundIntel] Quick intel:`, JSON.stringify(quickIntel, null, 2));\n  2017→\n  2018→    // Step 2: Save quick intel to communication metadata\n  2019→    if (supabase) {\n  2020→      // Find the most recent communication for this lead to update\n  2021→      const { data: recentComm } = await supabase\n  2022→        .from('communications')\n  2023→        .select('id, metadata')\n  2024→        .eq('lead_id', leadId)\n  2025→        .order('created_at', { ascending: false })\n  2026→        .limit(1)\n  2027→        .single();\n  2028→\n  2029→      if (recentComm) {\n  2030→        const updatedMetadata = {\n  2031→          ...(recentComm.metadata || {}),\n  2032→          extracted_intel: quickIntel\n  2033→        };\n  2034→        await supabase\n  2035→          .from('communications')\n  2036→          .update({ metadata: updatedMetadata })\n  2037→          .eq('id', recentComm.id);\n  2038→      }\n  2039→    }\n  2040→\n  2041→    // Step 3: If significant intel found, trigger full extraction\n  2042→    if (quickIntel.hasSignificantIntel) {\n  2043→      console.log(`[InboundIntel] Significant intel found - triggering full extraction`);\n  2044→\n  2045→      // Full extraction analyzes ALL communications for comprehensive intel\n  2046→      const fullResult = await extractAndSaveCallIntel(leadId);\n  2047→\n  2048→      // Update lead metadata with key signals\n  2049→      const hasUrgentNeed = quickIntel.urgency === 'high';\n  2050→      const hasPersonalIntel = quickIntel.personalIntel?.family ||\n  2051→                               quickIntel.personalIntel?.hobby ||\n  2052→                               quickIntel.personalIntel?.event;\n  2053→\n  2054→      if (supabase && (hasUrgentNeed || hasPersonalIntel)) {\n  2055→        const { data: lead } = await supabase\n  2056→          .from('leads')\n  2057→          .select('metadata')\n  2058→          .eq('id', leadId)\n  2059→          .single();\n  2060→\n  2061→        const existingPersonalIntel = lead?.metadata?.quick_personal_intel || [];\n  2062→        const newPersonalIntel = hasPersonalIntel ? [{\n  2063→          captured_at: new Date().toISOString(),\n  2064→          source,\n  2065→          ...quickIntel.personalIntel\n  2066→        }] : [];\n  2067→\n  2068→        const updatedLeadMetadata = {\n  2069→          ...(lead?.metadata || {}),\n  2070→          last_intel_source: source,\n  2071→          last_intel_date: new Date().toISOString(),\n  2072→          has_urgent_need: hasUrgentNeed ? true : lead?.metadata?.has_urgent_need,\n  2073→          // Store personal intel for surfacing on next call\n  2074→          quick_personal_intel: [...newPersonalIntel, ...existingPersonalIntel].slice(0, 5)\n  2075→        };\n  2076→        await supabase\n  2077→          .from('leads')\n  2078→          .update({ metadata: updatedLeadMetadata })\n  2079→          .eq('id', leadId);\n  2080→\n  2081→        if (hasPersonalIntel) {\n  2082→          console.log(`[InboundIntel] Personal intel saved: ${JSON.stringify(quickIntel.personalIntel)}`);\n  2083→        }\n  2084→      }\n  2085→\n  2086→      return {\n  2087→        success: true,\n  2088→        quickIntel,\n  2089→        fullExtraction: fullResult,\n  2090→        triggeredFullExtraction: true\n  2091→      };\n  2092→    }\n  2093→\n  2094→    // No significant intel - just return quick results\n  2095→    return {\n  2096→      success: true,\n  2097→      quickIntel,\n  2098→      triggeredFullExtraction: false\n  2099→    };\n  2100→\n  2101→  } catch (error) {\n  2102→    console.error('[InboundIntel] Error:', error.message);\n  2103→    return { success: false, error: error.message };\n  2104→  }\n  2105→}\n  2106→\n  2107→/**\n  2108→ * Find similar leads for batch messaging\n  2109→ * Matches by lead_type, trade, status, and waiting status\n  2110→ */\n  2111→async function findSimilarLeads(lead, limit = 5) {\n  2112→  try {\n  2113→    const oneDayAgo = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();\n  2114→\n  2115→    // Build query for similar leads\n  2116→    let query = supabase\n  2117→      .from('leads')\n  2118→      .select(`\n  2119→        id,\n  2120→        first_name,\n  2121→        last_name,\n  2122→        company,\n  2123→        phone,\n  2124→        score,\n  2125→        status,\n  2126→        lead_type,\n  2127→        trade,\n  2128→        last_contact_at,\n  2129→        metadata\n  2130→      `)\n  2131→      .neq('id', lead.id) // Exclude the original lead\n  2132→      .is('deleted_at', null) // Not deleted\n  2133→      .in('status', ['active', 'contacted', 'new']) // Active leads\n  2134→      .not('phone', 'is', null); // Must have phone\n  2135→\n  2136→    // Match lead type if available\n  2137→    if (lead.lead_type) {\n  2138→      query = query.eq('lead_type', lead.lead_type);\n  2139→    }\n  2140→\n  2141→    // Match trade if available (partial match)\n  2142→    if (lead.trade) {\n  2143→      query = query.ilike('trade', `%${lead.trade}%`);\n  2144→    }\n  2145→\n  2146→    // Get leads where last contact was > 24 hours ago (waiting on them)\n  2147→    query = query.lt('last_contact_at', oneDayAgo);\n  2148→\n  2149→    // Order by score (highest first), then by last contact (oldest first)\n  2150→    query = query\n  2151→      .order('score', { ascending: false })\n  2152→      .order('last_contact_at', { ascending: true })\n  2153→      .limit(limit * 2); // Get extra to filter\n  2154→\n  2155→    const { data: leads, error } = await query;\n  2156→\n  2157→    if (error) {\n  2158→      console.error('[FindSimilar] Query error:', error.message);\n  2159→      return [];\n  2160→    }\n  2161→\n  2162→    if (!leads || leads.length === 0) {\n  2163→      return [];\n  2164→    }\n  2165→\n  2166→    // Filter to leads where WE sent the last message (waiting on them to reply)\n  2167→    const leadsWithLastMessage = await Promise.all(\n  2168→      leads.map(async (l) => {\n  2169→        const { data: lastComm } = await supabase\n  2170→          .from('communications')\n  2171→          .select('direction, created_at')\n  2172→          .eq('lead_id', l.id)\n  2173→          .order('created_at', { ascending: false })\n  2174→          .limit(1)\n  2175→          .single();\n  2176→\n  2177→        // Only include if last message was outbound (we're waiting on them)\n  2178→        if (lastComm?.direction === 'outbound') {\n  2179→          const daysSinceContact = l.last_contact_at\n  2180→            ? Math.floor((Date.now() - new Date(l.last_contact_at)) / (1000 * 60 * 60 * 24))\n  2181→            : 999;\n  2182→\n  2183→          return {\n  2184→            ...l,\n  2185→            name: `${l.first_name || ''} ${l.last_name || ''}`.trim() || 'Unknown',\n  2186→            daysSinceContact,\n  2187→            lastMessageDirection: 'outbound'\n  2188→          };\n  2189→        }\n  2190→        return null;\n  2191→      })\n  2192→    );\n  2193→\n  2194→    // Filter out nulls and limit\n  2195→    return leadsWithLastMessage.filter(Boolean).slice(0, limit);\n  2196→\n  2197→  } catch (error) {\n  2198→    console.error('[FindSimilar] Error:', error.message);\n  2199→    return [];\n  2200→  }\n  2201→}\n  2202→\n  2203→/**\n  2204→ * Generate personalized messages for a batch of similar leads\n  2205→ */\n  2206→async function generatePersonalizedBatch(leads, originalPrompt, originalMessage, tone = 'friendly') {\n  2207→  if (!openai) {\n  2208→    // Fallback: simple personalization without AI\n  2209→    return leads.map(lead => ({\n  2210→      ...lead,\n  2211→      personalizedMessage: originalMessage\n  2212→        .replace(/Hey \\w+/i, `Hey ${lead.first_name || 'there'}`)\n  2213→        .replace(/Hi \\w+/i, `Hi ${lead.first_name || 'there'}`)\n  2214→    }));\n  2215→  }\n  2216→\n  2217→  try {\n  2218→    const prompt = `You are an SMS personalization expert for RateRight (Australia's worker marketplace).\n  2219→\n  2220→TASK: Create personalized variations of a message for different leads. Each message should feel natural and personal, not templated.\n  2221→\n  2222→ORIGINAL MESSAGE (sent to first lead):\n  2223→\"${originalMessage}\"\n  2224→\n  2225→ORIGINAL INTENT: ${originalPrompt}\n  2226→TONE: ${tone}\n  2227→\n  2228→CREATE PERSONALIZED VERSIONS FOR THESE LEADS:\n  2229→${leads.map((l, i) => `\n  2230→${i + 1}. ${l.name}\n  2231→   - Company: ${l.company || 'Unknown'}\n  2232→   - Trade: ${l.trade || 'Unknown'}\n  2233→   - Score: ${l.score || 0}\n  2234→   - Days waiting: ${l.daysSinceContact}\n  2235→`).join('\\n')}\n  2236→\n  2237→Return a JSON array with personalized messages:\n  2238→{\n  2239→  \"messages\": [\n  2240→    {\"leadId\": \"id1\", \"message\": \"Personalized message for lead 1\"},\n  2241→    {\"leadId\": \"id2\", \"message\": \"Personalized message for lead 2\"}\n  2242→  ]\n  2243→}\n  2244→\n  2245→RULES:\n  2246→- Keep same length/style as original\n  2247→- Use their first name naturally\n  2248→- Reference their trade/company if relevant\n  2249→- Don't be repetitive - vary the phrasing\n  2250→- Australian casual tone (no \"Hey y'all\")\n  2251→- Max 160 characters each (SMS limit)`;\n  2252→\n  2253→    const response = await openai.chat.completions.create({\n  2254→      model: MODELS.SIMPLE,\n  2255→      messages: [{ role: 'user', content: prompt }],\n  2256→      response_format: { type: 'json_object' },\n  2257→      temperature: 0.8, // Higher for more variation\n  2258→    });\n  2259→\n  2260→    const result = JSON.parse(response.choices[0].message.content);\n  2261→\n  2262→    // Merge personalized messages with lead data\n  2263→    return leads.map(lead => {\n  2264→      const msgData = result.messages?.find(m => m.leadId === lead.id);\n  2265→      return {\n  2266→        ...lead,\n  2267→        personalizedMessage: msgData?.message || originalMessage.replace(/Hey \\w+/i, `Hey ${lead.first_name || 'there'}`)\n  2268→      };\n  2269→    });\n  2270→\n  2271→  } catch (error) {\n  2272→    console.error('[PersonalizedBatch] Error:', error.message);\n  2273→    // Fallback: simple name replacement\n  2274→    return leads.map(lead => ({\n  2275→      ...lead,\n  2276→      personalizedMessage: originalMessage\n  2277→        .replace(/Hey \\w+/i, `Hey ${lead.first_name || 'there'}`)\n  2278→        .replace(/Hi \\w+/i, `Hi ${lead.first_name || 'there'}`)\n  2279→    }));\n  2280→  }\n  2281→}\n  2282→\n  2283→module.exports = {\n  2284→  generateIntelBrief,\n  2285→  generatePostCallSummary,\n  2286→  draftMessage,\n  2287→  transcribeAudio,\n  2288→  parseVoiceCommand,\n  2289→  getObjectionResponse,\n  2290→  calculateConversionProbability,\n  2291→  generateWeeklyInsights,\n  2292→  cleanupNotes,\n  2293→  findSimilarWins,\n  2294→  extractTranscriptIntel,\n  2295→  extractPersonalIntelFromConversations,\n  2296→  saveExtractedIntel,\n  2297→  extractAndSaveCallIntel,\n  2298→  parseContactFromSMS,\n  2299→  generateReEngagedInsight,\n  2300→  extractLeadCorrections,\n  2301→  recommendScriptForLead,\n  2302→  extractQuickIntel,\n  2303→  extractInboundIntel,\n  2304→  findSimilarLeads,\n  2305→  generatePersonalizedBatch,\n  2306→};\n  2307→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"295056fd-9d5b-414e-9f0c-304e9564f85a","timestamp":"2026-02-07T05:54:58.703Z","sourceToolAssistantUUID":"318a2108-90f3-4345-99b6-b33e55f2b94c"}
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{"parentUuid":"74572f35-0b7e-4684-8bd5-28488970ec9d","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XT72Pr1dY9WZEmorBdenuJ","type":"tool_result","content":"     1→/**\n     2→ * Notification Service\n     3→ * Handles notifications for task completion and other events\n     4→ */\n     5→\n     6→const { sendSMS } = require('./twilio');\n     7→\n     8→// Michael's phone number for notifications\n     9→const MICHAEL_PHONE = process.env.MICHAEL_PHONE || process.env.TWILIO_PHONE_NUMBER;\n    10→\n    11→/**\n    12→ * Send notification when a Vapi task is completed\n    13→ * @param {Object} task - The completed task\n    14→ * @param {Object} result - The execution result\n    15→ */\n    16→async function notifyTaskComplete(task, result) {\n    17→  if (!task || !result) {\n    18→    console.log('[Notifications] Missing task or result');\n    19→    return;\n    20→  }\n    21→\n    22→  console.log(`[Notifications] Notifying completion of task ${task.id}`);\n    23→\n    24→  // Determine notification method based on priority\n    25→  const method = task.priority === 'urgent' ? 'call' : 'sms';\n    26→\n    27→  try {\n    28→    if (method === 'sms') {\n    29→      await notifyViaSMS(task, result);\n    30→    } else if (method === 'call') {\n    31→      // For now, also use SMS for urgent tasks\n    32→      // TODO: Implement Vapi outbound call for urgent notifications\n    33→      await notifyViaSMS(task, result, true); // Pass urgent=true\n    34→    }\n    35→  } catch (err) {\n    36→    console.error('[Notifications] Failed to send notification:', err.message);\n    37→  }\n    38→}\n    39→\n    40→/**\n    41→ * Send SMS notification\n    42→ */\n    43→async function notifyViaSMS(task, result, urgent = false) {\n    44→  const { supabase } = require('../config/database');\n    45→\n    46→  if (!MICHAEL_PHONE) {\n    47→    console.log('[Notifications] No phone number configured for notifications');\n    48→    return;\n    49→  }\n    50→\n    51→  // Format message based on result\n    52→  const prefix = urgent ? '🔔 URGENT: ' : '✅ ';\n    53→  const status = result.success ? 'Completed' : 'Failed';\n    54→  const message = `${prefix}Task ${status}: ${result.summary || task.task_description}`;\n    55→\n    56→  // Send SMS\n    57→  const smsResult = await sendSMS(MICHAEL_PHONE, message);\n    58→\n    59→  if (!smsResult.success) {\n    60→    throw new Error(`SMS failed: ${smsResult.error}`);\n    61→  }\n    62→\n    63→  // Update task with notification status\n    64→  if (supabase) {\n    65→    await supabase\n    66→      .from('vapi_tasks')\n    67→      .update({\n    68→        notification_sent: true,\n    69→        notification_method: 'sms',\n    70→        notified_at: new Date().toISOString(),\n    71→        notification_result: {\n    72→          messageSid: smsResult.messageSid,\n    73→          success: true\n    74→        }\n    75→      })\n    76→      .eq('id', task.id);\n    77→  }\n    78→\n    79→  console.log(`[Notifications] SMS sent to ${MICHAEL_PHONE}`);\n    80→}\n    81→\n    82→/**\n    83→ * Send notification via Vapi outbound call (for urgent tasks)\n    84→ * TODO: Implement using Vapi outbound API\n    85→ */\n    86→async function notifyViaCall(task, result) {\n    87→  // Placeholder for Vapi outbound call implementation\n    88→  // For now, fall back to SMS\n    89→  console.log('[Notifications] Vapi outbound call not yet implemented, using SMS');\n    90→  await notifyViaSMS(task, result, true);\n    91→}\n    92→\n    93→module.exports = {\n    94→  notifyTaskComplete\n    95→};\n    96→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a178e35b-9a5c-452b-8788-62a7452762cb","timestamp":"2026-02-07T05:54:58.736Z","sourceToolAssistantUUID":"74572f35-0b7e-4684-8bd5-28488970ec9d"}
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{"parentUuid":"cd9c393c-bd32-414a-93a1-6172ec2a35f9","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01XzVeKGmCo3mk9ooUiJBWXQ","toolUseID":"toolu_01XzVeKGmCo3mk9ooUiJBWXQ","timestamp":"2026-02-07T05:54:59.244Z","uuid":"0f74bb34-ea08-4c24-91a0-408ce840e547"}
{"parentUuid":"cd9c393c-bd32-414a-93a1-6172ec2a35f9","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XzVeKGmCo3mk9ooUiJBWXQ","type":"tool_result","content":"     1→/**\n     2→ * Task Executor Service\n     3→ * Executes parsed tasks from Vapi voice assistant\n     4→ */\n     5→\n     6→const { supabase } = require('../config/database');\n     7→const { sendSMS } = require('./twilio');\n     8→const { notifyTaskComplete } = require('./notifications');\n     9→\n    10→/**\n    11→ * Execute a task from the vapi_tasks table\n    12→ * Updates task status as it progresses\n    13→ * @param {Object} task - Task object from database\n    14→ * @returns {Promise<Object>} Execution result\n    15→ */\n    16→async function executeTask(task) {\n    17→  if (!task || !task.id) {\n    18→    throw new Error('Invalid task object');\n    19→  }\n    20→\n    21→  console.log(`[TaskExecutor] Starting task ${task.id}: ${task.task_type}`);\n    22→\n    23→  try {\n    24→    // Mark task as executing\n    25→    await updateTaskStatus(task.id, 'executing', null, { started_at: new Date().toISOString() });\n    26→\n    27→    // Execute based on task type\n    28→    let result;\n    29→    switch (task.task_type) {\n    30→      case 'call_lead':\n    31→        result = await executeCallLead(task);\n    32→        break;\n    33→\n    34→      case 'send_message':\n    35→        result = await executeSendMessage(task);\n    36→        break;\n    37→\n    38→      case 'update_lead':\n    39→        result = await executeUpdateLead(task);\n    40→        break;\n    41→\n    42→      case 'create_callback':\n    43→        result = await executeCreateCallback(task);\n    44→        break;\n    45→\n    46→      case 'get_report':\n    47→        result = await executeGetReport(task);\n    48→        break;\n    49→\n    50→      case 'add_note':\n    51→        result = await executeAddNote(task);\n    52→        break;\n    53→\n    54→      case 'custom':\n    55→        result = await executeCustomTask(task);\n    56→        break;\n    57→\n    58→      default:\n    59→        throw new Error(`Unknown task type: ${task.task_type}`);\n    60→    }\n    61→\n    62→    // Mark task as completed\n    63→    await updateTaskStatus(task.id, 'completed', result, {\n    64→      completed_at: new Date().toISOString()\n    65→    });\n    66→\n    67→    console.log(`[TaskExecutor] Task ${task.id} completed:`, result.summary);\n    68→\n    69→    // Send notification\n    70→    await notifyTaskComplete(task, result);\n    71→\n    72→    return result;\n    73→\n    74→  } catch (err) {\n    75→    console.error(`[TaskExecutor] Task ${task.id} failed:`, err.message);\n    76→\n    77→    // Mark task as failed\n    78→    await updateTaskStatus(task.id, 'failed', null, {\n    79→      error_message: err.message\n    80→    });\n    81→\n    82→    // Send failure notification if critical\n    83→    if (task.priority === 'urgent') {\n    84→      await notifyTaskComplete(task, {\n    85→        success: false,\n    86→        error: err.message,\n    87→        summary: `Task failed: ${err.message}`\n    88→      });\n    89→    }\n    90→\n    91→    throw err;\n    92→  }\n    93→}\n    94→\n    95→/**\n    96→ * Update task status in database\n    97→ */\n    98→async function updateTaskStatus(taskId, status, result = null, extraFields = {}) {\n    99→  if (!supabase) return;\n   100→\n   101→  const updates = {\n   102→    status,\n   103→    updated_at: new Date().toISOString(),\n   104→    ...extraFields\n   105→  };\n   106→\n   107→  if (result) {\n   108→    updates.result = result;\n   109→  }\n   110→\n   111→  const { error } = await supabase\n   112→    .from('vapi_tasks')\n   113→    .update(updates)\n   114→    .eq('id', taskId);\n   115→\n   116→  if (error) {\n   117→    console.error('[TaskExecutor] Failed to update task status:', error.message);\n   118→  }\n   119→}\n   120→\n   121→/**\n   122→ * Execute call_lead task\n   123→ * Creates a callback or adds lead to call list\n   124→ */\n   125→async function executeCallLead(task) {\n   126→  const { name, phone, company } = task.task_params;\n   127→\n   128→  // Find lead by name or phone\n   129→  let lead = null;\n   130→  if (phone) {\n   131→    const { data } = await supabase\n   132→      .from('leads')\n   133→      .select('*')\n   134→      .eq('phone', phone)\n   135→      .single();\n   136→    lead = data;\n   137→  } else if (name) {\n   138→    const { data } = await supabase\n   139→      .from('leads')\n   140→      .select('*')\n   141→      .or(`first_name.ilike.%${name}%,last_name.ilike.%${name}%`)\n   142→      .limit(1)\n   143→      .maybeSingle();\n   144→    lead = data;\n   145→  }\n   146→\n   147→  if (!lead) {\n   148→    // Create callback with the info we have\n   149→    const { error } = await supabase\n   150→      .from('callbacks')\n   151→      .insert({\n   152→        phone: phone || null,\n   153→        reason: `Call ${name || 'lead'}${company ? ` at ${company}` : ''} (from voice task)`,\n   154→        priority: 'high',\n   155→        notes: `Voice task: ${task.task_description}`,\n   156→        source_type: 'voice_assistant'\n   157→      });\n   158→\n   159→    if (error) throw new Error(`Failed to create callback: ${error.message}`);\n   160→\n   161→    return {\n   162→      success: true,\n   163→      summary: `Created callback for ${name || 'unknown lead'}`,\n   164→      action: 'callback_created'\n   165→    };\n   166→  }\n   167→\n   168→  // Lead exists - create callback\n   169→  const { error } = await supabase\n   170→    .from('callbacks')\n   171→    .insert({\n   172→      lead_id: lead.id,\n   173→      phone: lead.phone,\n   174→      reason: `Call ${lead.first_name} ${lead.last_name}${company ? ` at ${company}` : ''} (from voice task)`,\n   175→      priority: 'high',\n   176→      notes: `Voice task: ${task.task_description}`,\n   177→      source_type: 'voice_assistant'\n   178→    });\n   179→\n   180→  if (error) throw new Error(`Failed to create callback: ${error.message}`);\n   181→\n   182→  return {\n   183→    success: true,\n   184→    summary: `Created callback for ${lead.first_name} ${lead.last_name}`,\n   185→    leadId: lead.id,\n   186→    action: 'callback_created'\n   187→  };\n   188→}\n   189→\n   190→/**\n   191→ * Execute send_message task\n   192→ * Sends SMS to lead\n   193→ */\n   194→async function executeSendMessage(task) {\n   195→  const { name, phone, topic } = task.task_params;\n   196→\n   197→  if (!phone && !name) {\n   198→    throw new Error('No phone number or name provided');\n   199→  }\n   200→\n   201→  // Find lead\n   202→  let lead = null;\n   203→  let targetPhone = phone;\n   204→\n   205→  if (name && !phone) {\n   206→    const { data } = await supabase\n   207→      .from('leads')\n   208→      .select('*')\n   209→      .or(`first_name.ilike.%${name}%,last_name.ilike.%${name}%`)\n   210→      .limit(1)\n   211→      .maybeSingle();\n   212→\n   213→    lead = data;\n   214→    targetPhone = lead?.phone;\n   215→  }\n   216→\n   217→  if (!targetPhone) {\n   218→    throw new Error(`No phone number found for ${name || 'lead'}`);\n   219→  }\n   220→\n   221→  // Generate message based on topic\n   222→  const message = topic\n   223→    ? `Hi${name ? ` ${name}` : ''}, following up on ${topic}. Let me know if you have any questions. - Michael @ RateRight`\n   224→    : `Hi${name ? ` ${name}` : ''}, just checking in. Let me know if you need anything. - Michael @ RateRight`;\n   225→\n   226→  // Send SMS\n   227→  const smsResult = await sendSMS(targetPhone, message);\n   228→\n   229→  if (!smsResult.success) {\n   230→    throw new Error(`Failed to send SMS: ${smsResult.error}`);\n   231→  }\n   232→\n   233→  return {\n   234→    success: true,\n   235→    summary: `Sent message to ${name || targetPhone}`,\n   236→    messageSid: smsResult.messageSid,\n   237→    action: 'sms_sent'\n   238→  };\n   239→}\n   240→\n   241→/**\n   242→ * Execute update_lead task\n   243→ * Updates lead status/score\n   244→ */\n   245→async function executeUpdateLead(task) {\n   246→  const { name, status } = task.task_params;\n   247→\n   248→  if (!name) {\n   249→    throw new Error('No lead name provided');\n   250→  }\n   251→\n   252→  // Find lead\n   253→  const { data: lead } = await supabase\n   254→    .from('leads')\n   255→    .select('*')\n   256→    .or(`first_name.ilike.%${name}%,last_name.ilike.%${name}%`)\n   257→    .limit(1)\n   258→    .maybeSingle();\n   259→\n   260→  if (!lead) {\n   261→    throw new Error(`Lead not found: ${name}`);\n   262→  }\n   263→\n   264→  // Update status and score\n   265→  const updates = { updated_at: new Date().toISOString() };\n   266→\n   267→  if (status) {\n   268→    updates.status = status;\n   269→\n   270→    // Adjust score based on status\n   271→    if (status === 'hot') updates.score = Math.max(lead.score || 0, 80);\n   272→    else if (status === 'warm') updates.score = Math.max(lead.score || 0, 50);\n   273→    else if (status === 'cold') updates.score = Math.min(lead.score || 100, 30);\n   274→  }\n   275→\n   276→  const { error } = await supabase\n   277→    .from('leads')\n   278→    .update(updates)\n   279→    .eq('id', lead.id);\n   280→\n   281→  if (error) throw new Error(`Failed to update lead: ${error.message}`);\n   282→\n   283→  return {\n   284→    success: true,\n   285→    summary: `Updated ${lead.first_name} ${lead.last_name} to ${status || 'updated'}`,\n   286→    leadId: lead.id,\n   287→    action: 'lead_updated'\n   288→  };\n   289→}\n   290→\n   291→/**\n   292→ * Execute create_callback task\n   293→ */\n   294→async function executeCreateCallback(task) {\n   295→  const { name, when } = task.task_params;\n   296→\n   297→  // Calculate scheduled date from 'when' (tomorrow, next week, etc)\n   298→  let scheduledDate = null;\n   299→  if (when) {\n   300→    const now = new Date();\n   301→    if (when.toLowerCase().includes('tomorrow')) {\n   302→      scheduledDate = new Date(now);\n   303→      scheduledDate.setDate(scheduledDate.getDate() + 1);\n   304→      scheduledDate.setHours(9, 0, 0, 0);\n   305→    } else if (when.toLowerCase().includes('next week')) {\n   306→      scheduledDate = new Date(now);\n   307→      scheduledDate.setDate(scheduledDate.getDate() + 7);\n   308→      scheduledDate.setHours(9, 0, 0, 0);\n   309→    }\n   310→  }\n   311→\n   312→  // Find lead if name provided\n   313→  let leadId = null;\n   314→  if (name) {\n   315→    const { data: lead } = await supabase\n   316→      .from('leads')\n   317→      .select('id')\n   318→      .or(`first_name.ilike.%${name}%,last_name.ilike.%${name}%`)\n   319→      .limit(1)\n   320→      .maybeSingle();\n   321→\n   322→    leadId = lead?.id;\n   323→  }\n   324→\n   325→  const { error } = await supabase\n   326→    .from('callbacks')\n   327→    .insert({\n   328→      lead_id: leadId,\n   329→      reason: `Callback${name ? ` with ${name}` : ''}${when ? ` ${when}` : ''} (from voice task)`,\n   330→      priority: 'normal',\n   331→      scheduled_at: scheduledDate,\n   332→      notes: `Voice task: ${task.task_description}`,\n   333→      source_type: 'voice_assistant'\n   334→    });\n   335→\n   336→  if (error) throw new Error(`Failed to create callback: ${error.message}`);\n   337→\n   338→  return {\n   339→    success: true,\n   340→    summary: `Scheduled callback${name ? ` with ${name}` : ''}${when ? ` for ${when}` : ''}`,\n   341→    action: 'callback_created'\n   342→  };\n   343→}\n   344→\n   345→/**\n   346→ * Execute get_report task\n   347→ * Fetches stats and formats as text\n   348→ */\n   349→async function executeGetReport(task) {\n   350→  const { period = 'today' } = task.task_params;\n   351→\n   352→  // Calculate date range\n   353→  const now = new Date();\n   354→  let startDate;\n   355→\n   356→  if (period.toLowerCase() === 'today') {\n   357→    startDate = new Date(now);\n   358→    startDate.setHours(0, 0, 0, 0);\n   359→  } else if (period.toLowerCase() === 'yesterday') {\n   360→    startDate = new Date(now);\n   361→    startDate.setDate(startDate.getDate() - 1);\n   362→    startDate.setHours(0, 0, 0, 0);\n   363→  } else if (period.toLowerCase().includes('week')) {\n   364→    startDate = new Date(now);\n   365→    startDate.setDate(startDate.getDate() - 7);\n   366→  }\n   367→\n   368→  // Fetch stats\n   369→  const { data: calls } = await supabase\n   370→    .from('communications')\n   371→    .select('type')\n   372→    .gte('created_at', startDate.toISOString())\n   373→    .in('type', ['call_outbound', 'call_inbound']);\n   374→\n   375→  const { data: messages } = await supabase\n   376→    .from('communications')\n   377→    .select('type')\n   378→    .gte('created_at', startDate.toISOString())\n   379→    .in('type', ['sms_outbound', 'sms_inbound']);\n   380→\n   381→  const callCount = calls?.length || 0;\n   382→  const messageCount = messages?.length || 0;\n   383→\n   384→  const summary = `${period.charAt(0).toUpperCase() + period.slice(1)}: ${callCount} calls, ${messageCount} messages`;\n   385→\n   386→  return {\n   387→    success: true,\n   388→    summary,\n   389→    stats: {\n   390→      period,\n   391→      calls: callCount,\n   392→      messages: messageCount\n   393→    },\n   394→    action: 'report_generated'\n   395→  };\n   396→}\n   397→\n   398→/**\n   399→ * Execute add_note task\n   400→ * Saves note to dev_queue or creates general note\n   401→ */\n   402→async function executeAddNote(task) {\n   403→  const { content } = task.task_params;\n   404→\n   405→  if (!content) {\n   406→    throw new Error('No note content provided');\n   407→  }\n   408→\n   409→  // Save to dev_queue as a note/reminder\n   410→  const { error } = await supabase\n   411→    .from('dev_queue')\n   412→    .insert({\n   413→      type: 'note',\n   414→      title: 'Voice Note: ' + content.substring(0, 50),\n   415→      description: content,\n   416→      priority: 'low',\n   417→      status: 'pending',\n   418→      source: 'voice_assistant'\n   419→    });\n   420→\n   421→  if (error) throw new Error(`Failed to save note: ${error.message}`);\n   422→\n   423→  return {\n   424→    success: true,\n   425→    summary: `Note saved: ${content.substring(0, 50)}...`,\n   426→    action: 'note_saved'\n   427→  };\n   428→}\n   429→\n   430→/**\n   431→ * Execute custom task\n   432→ * Saves to dev_queue for manual review\n   433→ */\n   434→async function executeCustomTask(task) {\n   435→  const { transcript } = task.task_params;\n   436→\n   437→  // Save to dev_queue for manual handling\n   438→  const { error } = await supabase\n   439→    .from('dev_queue')\n   440→    .insert({\n   441→      type: 'voice_task',\n   442→      title: 'Voice Task: ' + task.task_description.substring(0, 50),\n   443→      description: transcript || task.task_description,\n   444→      priority: task.priority === 'urgent' ? 'high' : 'medium',\n   445→      status: 'pending',\n   446→      source: 'voice_assistant',\n   447→      metadata: { vapi_task_id: task.id }\n   448→    });\n   449→\n   450→  if (error) throw new Error(`Failed to save to dev queue: ${error.message}`);\n   451→\n   452→  return {\n   453→    success: true,\n   454→    summary: `Task saved to dev queue for manual review`,\n   455→    action: 'queued_for_review'\n   456→  };\n   457→}\n   458→\n   459→module.exports = {\n   460→  executeTask\n   461→};\n   462→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"5b80c21b-1c32-4b67-b87a-785d245f573e","timestamp":"2026-02-07T05:54:59.243Z","sourceToolAssistantUUID":"cd9c393c-bd32-414a-93a1-6172ec2a35f9"}
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{"parentUuid":"4cce9ae1-f62b-47a1-b73f-21c5b4269907","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013onxrazfwFgE8WntfHXbar","type":"tool_result","content":"     1→/**\n     2→ * Task Parser Service\n     3→ * Parses voice transcripts into structured tasks\n     4→ */\n     5→\n     6→const { extractJson } = require('../services/ai');\n     7→\n     8→/**\n     9→ * Parse a task from voice transcript\n    10→ * Uses pattern matching + AI fallback for complex requests\n    11→ * @param {string} transcript - Full call transcript\n    12→ * @returns {Promise<Object>} Parsed task object\n    13→ */\n    14→async function parseTaskFromTranscript(transcript) {\n    15→  if (!transcript || transcript.length < 5) {\n    16→    return null;\n    17→  }\n    18→\n    19→  const lowerTranscript = transcript.toLowerCase();\n    20→\n    21→  // Pattern 1: Call someone\n    22→  if (lowerTranscript.includes('call ') || lowerTranscript.includes('ring ')) {\n    23→    const nameMatch = transcript.match(/call\\s+([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)?)/i) ||\n    24→                      transcript.match(/ring\\s+([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)?)/i);\n    25→\n    26→    const phoneMatch = transcript.match(/(\\+?\\d{10,15})/);\n    27→    const companyMatch = transcript.match(/(?:at|from)\\s+([A-Z][A-Za-z\\s&]+)/);\n    28→\n    29→    if (nameMatch || phoneMatch) {\n    30→      return {\n    31→        task_type: 'call_lead',\n    32→        task_description: `Call ${nameMatch?.[1] || 'lead'}${companyMatch ? ` at ${companyMatch[1]}` : ''}`,\n    33→        task_params: {\n    34→          name: nameMatch?.[1],\n    35→          phone: phoneMatch?.[1],\n    36→          company: companyMatch?.[1]\n    37→        },\n    38→        priority: 'normal'\n    39→      };\n    40→    }\n    41→  }\n    42→\n    43→  // Pattern 2: Send text/message\n    44→  if (lowerTranscript.includes('text ') || lowerTranscript.includes('send ') || lowerTranscript.includes('message ')) {\n    45→    const nameMatch = transcript.match(/(?:text|send|message)\\s+([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)?)/i);\n    46→    const phoneMatch = transcript.match(/(\\+?\\d{10,15})/);\n    47→    const aboutMatch = transcript.match(/about\\s+(.+?)(?:\\.|$)/i);\n    48→\n    49→    if (nameMatch || phoneMatch) {\n    50→      return {\n    51→        task_type: 'send_message',\n    52→        task_description: `Send message to ${nameMatch?.[1] || 'lead'}${aboutMatch ? ` about ${aboutMatch[1]}` : ''}`,\n    53→        task_params: {\n    54→          name: nameMatch?.[1],\n    55→          phone: phoneMatch?.[1],\n    56→          topic: aboutMatch?.[1]\n    57→        },\n    58→        priority: 'normal'\n    59→      };\n    60→    }\n    61→  }\n    62→\n    63→  // Pattern 3: Mark lead as hot/warm/cold\n    64→  if (lowerTranscript.includes('mark ') && (lowerTranscript.includes('hot') || lowerTranscript.includes('warm') || lowerTranscript.includes('cold'))) {\n    65→    const statusMatch = transcript.match(/mark\\s+(?:lead\\s+)?([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)?)\\s+(?:as\\s+)?(hot|warm|cold)/i) ||\n    66→                       transcript.match(/mark\\s+(?:as\\s+)?(hot|warm|cold)/i);\n    67→\n    68→    const status = statusMatch?.[2]?.toLowerCase() || statusMatch?.[1]?.toLowerCase();\n    69→    const leadName = statusMatch?.length > 2 ? statusMatch[1] : null;\n    70→\n    71→    if (status) {\n    72→      return {\n    73→        task_type: 'update_lead',\n    74→        task_description: `Mark ${leadName || 'lead'} as ${status}`,\n    75→        task_params: {\n    76→          name: leadName,\n    77→          status: status\n    78→        },\n    79→        priority: status === 'hot' ? 'urgent' : 'normal'\n    80→      };\n    81→    }\n    82→  }\n    83→\n    84→  // Pattern 4: Schedule callback\n    85→  if (lowerTranscript.includes('callback') || lowerTranscript.includes('call back') || lowerTranscript.includes('schedule')) {\n    86→    const nameMatch = transcript.match(/(?:callback|schedule)\\s+(?:with\\s+)?([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)?)/i);\n    87→    const dateMatch = transcript.match(/(tomorrow|today|monday|tuesday|wednesday|thursday|friday|next week)/i);\n    88→\n    89→    return {\n    90→      task_type: 'create_callback',\n    91→      task_description: `Schedule callback${nameMatch ? ` with ${nameMatch[1]}` : ''}${dateMatch ? ` ${dateMatch[1]}` : ''}`,\n    92→      task_params: {\n    93→        name: nameMatch?.[1],\n    94→        when: dateMatch?.[1]\n    95→      },\n    96→      priority: 'normal'\n    97→    };\n    98→  }\n    99→\n   100→  // Pattern 5: Get report/stats\n   101→  if (lowerTranscript.includes('report') || lowerTranscript.includes('stats') || lowerTranscript.includes('how many')) {\n   102→    const timeMatch = transcript.match(/(today|yesterday|this week|this month)/i);\n   103→\n   104→    return {\n   105→      task_type: 'get_report',\n   106→      task_description: `Get ${timeMatch?.[1] || 'today'}'s report`,\n   107→      task_params: {\n   108→        period: timeMatch?.[1] || 'today'\n   109→      },\n   110→      priority: 'low'\n   111→    };\n   112→  }\n   113→\n   114→  // Pattern 6: Add note\n   115→  if (lowerTranscript.includes('note ') || lowerTranscript.includes('reminder ')) {\n   116→    const noteMatch = transcript.match(/(?:note|reminder):\\s*(.+?)(?:\\.|$)/i);\n   117→\n   118→    if (noteMatch) {\n   119→      return {\n   120→        task_type: 'add_note',\n   121→        task_description: `Add note: ${noteMatch[1].substring(0, 100)}`,\n   122→        task_params: {\n   123→          content: noteMatch[1]\n   124→        },\n   125→        priority: 'low'\n   126→      };\n   127→    }\n   128→  }\n   129→\n   130→  // Fallback: Use AI to parse complex requests\n   131→  console.log('[TaskParser] No pattern matched, trying AI parse...');\n   132→  return await aiParseTask(transcript);\n   133→}\n   134→\n   135→/**\n   136→ * Use AI to parse complex or ambiguous task requests\n   137→ * @param {string} transcript\n   138→ * @returns {Promise<Object>}\n   139→ */\n   140→async function aiParseTask(transcript) {\n   141→  try {\n   142→    const { default: OpenAI } = await import('openai');\n   143→    const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });\n   144→\n   145→    const systemPrompt = `You are a task parser for a sales CRM voice assistant.\n   146→Parse the user's spoken request into a structured task.\n   147→\n   148→Respond with JSON only:\n   149→{\n   150→  \"task_type\": \"call_lead|send_message|update_lead|create_callback|get_report|add_note|custom\",\n   151→  \"task_description\": \"Human-readable description\",\n   152→  \"task_params\": {\n   153→    \"name\": \"Lead name if mentioned\",\n   154→    \"phone\": \"Phone number if mentioned\",\n   155→    \"company\": \"Company name if mentioned\",\n   156→    \"topic\": \"Message topic if mentioned\",\n   157→    \"status\": \"hot|warm|cold if mentioned\",\n   158→    \"when\": \"Timing if mentioned (tomorrow, next week, etc)\",\n   159→    \"content\": \"Note content if relevant\"\n   160→  },\n   161→  \"priority\": \"urgent|normal|low\"\n   162→}\n   163→\n   164→If the request is unclear or can't be handled, use task_type: \"custom\" and include the raw request in task_description.`;\n   165→\n   166→    const completion = await openai.chat.completions.create({\n   167→      model: 'gpt-4o-mini',\n   168→      messages: [\n   169→        { role: 'system', content: systemPrompt },\n   170→        { role: 'user', content: transcript }\n   171→      ],\n   172→      temperature: 0.3,\n   173→      max_tokens: 300\n   174→    });\n   175→\n   176→    const response = completion.choices[0].message.content;\n   177→    const parsed = extractJson(response);\n   178→\n   179→    if (parsed && parsed.task_type) {\n   180→      console.log('[TaskParser] AI parsed task:', parsed.task_type);\n   181→      return parsed;\n   182→    }\n   183→\n   184→    // Fallback to custom task\n   185→    return {\n   186→      task_type: 'custom',\n   187→      task_description: transcript.substring(0, 200),\n   188→      task_params: { transcript },\n   189→      priority: 'normal'\n   190→    };\n   191→\n   192→  } catch (err) {\n   193→    console.error('[TaskParser] AI parse failed:', err.message);\n   194→\n   195→    // Ultimate fallback\n   196→    return {\n   197→      task_type: 'custom',\n   198→      task_description: transcript.substring(0, 200),\n   199→      task_params: { transcript },\n   200→      priority: 'normal'\n   201→    };\n   202→  }\n   203→}\n   204→\n   205→module.exports = {\n   206→  parseTaskFromTranscript\n   207→};\n   208→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"196209b9-ea33-427d-807e-752521137535","timestamp":"2026-02-07T05:55:02.270Z","sourceToolAssistantUUID":"4cce9ae1-f62b-47a1-b73f-21c5b4269907"}
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{"parentUuid":"3c08dca8-f4b0-4178-a221-6570f0b9451f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CPC3x8MhJQaqeRUybN4PE1","type":"tool_result","content":"     1→/**\n     2→ * Export Service\n     3→ * Generate CSV/JSON exports for leads, communications, and analytics\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→const { getScoreTier } = require('./scoring');\n     8→\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→/**\n    12→ * Export leads to CSV format\n    13→ * @param {object} filters - Query filters\n    14→ * @param {string[]} columns - Columns to include\n    15→ * @returns {object} { data: string, rowCount: number }\n    16→ */\n    17→async function exportLeadsToCSV(filters = {}, columns = []) {\n    18→  const defaultColumns = [\n    19→    'id', 'first_name', 'last_name', 'email', 'phone', 'company',\n    20→    'status', 'score', 'source', 'platform_stage', 'assigned_to',\n    21→    'created_at', 'last_contact_at'\n    22→  ];\n    23→\n    24→  const selectedColumns = columns.length > 0 ? columns : defaultColumns;\n    25→\n    26→  let query = db\n    27→    .from('leads')\n    28→    .select(selectedColumns.join(', '))\n    29→    .is('deleted_at', null)\n    30→    .order('created_at', { ascending: false });\n    31→\n    32→  // Apply filters\n    33→  if (filters.status) {\n    34→    query = query.eq('status', filters.status);\n    35→  }\n    36→  if (filters.score_min) {\n    37→    query = query.gte('score', parseInt(filters.score_min));\n    38→  }\n    39→  if (filters.score_max) {\n    40→    query = query.lte('score', parseInt(filters.score_max));\n    41→  }\n    42→  if (filters.assigned_to) {\n    43→    query = query.eq('assigned_to', filters.assigned_to);\n    44→  }\n    45→  if (filters.platform_stage) {\n    46→    query = query.eq('platform_stage', filters.platform_stage);\n    47→  }\n    48→  if (filters.created_after) {\n    49→    query = query.gte('created_at', filters.created_after);\n    50→  }\n    51→  if (filters.created_before) {\n    52→    query = query.lte('created_at', filters.created_before);\n    53→  }\n    54→\n    55→  const { data: leads, error } = await query.limit(10000);\n    56→\n    57→  if (error) throw error;\n    58→\n    59→  if (!leads || leads.length === 0) {\n    60→    return { data: selectedColumns.join(',') + '\\n', rowCount: 0 };\n    61→  }\n    62→\n    63→  // Convert to CSV\n    64→  const header = selectedColumns.join(',');\n    65→  const rows = leads.map(lead => {\n    66→    return selectedColumns.map(col => {\n    67→      let value = lead[col];\n    68→      if (value === null || value === undefined) return '';\n    69→      if (typeof value === 'object') value = JSON.stringify(value);\n    70→      // Escape quotes and wrap in quotes if contains comma\n    71→      value = String(value).replace(/\"/g, '\"\"');\n    72→      if (value.includes(',') || value.includes('\"') || value.includes('\\n')) {\n    73→        value = `\"${value}\"`;\n    74→      }\n    75→      return value;\n    76→    }).join(',');\n    77→  });\n    78→\n    79→  return {\n    80→    data: [header, ...rows].join('\\n'),\n    81→    rowCount: leads.length\n    82→  };\n    83→}\n    84→\n    85→/**\n    86→ * Export leads to JSON format\n    87→ */\n    88→async function exportLeadsToJSON(filters = {}, columns = []) {\n    89→  const defaultColumns = [\n    90→    'id', 'first_name', 'last_name', 'email', 'phone', 'company',\n    91→    'status', 'score', 'source', 'platform_stage', 'assigned_to',\n    92→    'created_at', 'last_contact_at', 'metadata'\n    93→  ];\n    94→\n    95→  const selectedColumns = columns.length > 0 ? columns : defaultColumns;\n    96→\n    97→  let query = db\n    98→    .from('leads')\n    99→    .select(selectedColumns.join(', '))\n   100→    .is('deleted_at', null)\n   101→    .order('created_at', { ascending: false });\n   102→\n   103→  // Apply same filters as CSV\n   104→  if (filters.status) query = query.eq('status', filters.status);\n   105→  if (filters.score_min) query = query.gte('score', parseInt(filters.score_min));\n   106→  if (filters.score_max) query = query.lte('score', parseInt(filters.score_max));\n   107→  if (filters.assigned_to) query = query.eq('assigned_to', filters.assigned_to);\n   108→  if (filters.platform_stage) query = query.eq('platform_stage', filters.platform_stage);\n   109→  if (filters.created_after) query = query.gte('created_at', filters.created_after);\n   110→  if (filters.created_before) query = query.lte('created_at', filters.created_before);\n   111→\n   112→  const { data: leads, error } = await query.limit(10000);\n   113→\n   114→  if (error) throw error;\n   115→\n   116→  return {\n   117→    data: JSON.stringify(leads || [], null, 2),\n   118→    rowCount: leads?.length || 0\n   119→  };\n   120→}\n   121→\n   122→/**\n   123→ * Export communications to CSV\n   124→ */\n   125→async function exportCommunicationsToCSV(filters = {}) {\n   126→  const columns = [\n   127→    'id', 'lead_id', 'type', 'direction', 'phone', 'content',\n   128→    'outcome', 'duration_seconds', 'handled_by', 'created_at'\n   129→  ];\n   130→\n   131→  let query = db\n   132→    .from('communications')\n   133→    .select(`\n   134→      id, lead_id, type, direction, phone, content,\n   135→      outcome, duration_seconds, handled_by, created_at,\n   136→      leads(first_name, last_name)\n   137→    `)\n   138→    .order('created_at', { ascending: false });\n   139→\n   140→  if (filters.type) {\n   141→    query = query.eq('type', filters.type);\n   142→  }\n   143→  if (filters.lead_id) {\n   144→    query = query.eq('lead_id', filters.lead_id);\n   145→  }\n   146→  if (filters.handled_by) {\n   147→    query = query.eq('handled_by', filters.handled_by);\n   148→  }\n   149→  if (filters.created_after) {\n   150→    query = query.gte('created_at', filters.created_after);\n   151→  }\n   152→  if (filters.created_before) {\n   153→    query = query.lte('created_at', filters.created_before);\n   154→  }\n   155→\n   156→  const { data: comms, error } = await query.limit(10000);\n   157→\n   158→  if (error) throw error;\n   159→\n   160→  if (!comms || comms.length === 0) {\n   161→    return { data: 'id,lead_id,lead_name,type,direction,phone,content,outcome,duration_seconds,handled_by,created_at\\n', rowCount: 0 };\n   162→  }\n   163→\n   164→  const header = 'id,lead_id,lead_name,type,direction,phone,content,outcome,duration_seconds,handled_by,created_at';\n   165→  const rows = comms.map(c => {\n   166→    const leadName = c.leads ? `${c.leads.first_name || ''} ${c.leads.last_name || ''}`.trim() : '';\n   167→    return [\n   168→      c.id,\n   169→      c.lead_id,\n   170→      `\"${leadName.replace(/\"/g, '\"\"')}\"`,\n   171→      c.type,\n   172→      c.direction,\n   173→      c.phone,\n   174→      `\"${(c.content || '').replace(/\"/g, '\"\"').replace(/\\n/g, ' ')}\"`,\n   175→      c.outcome || '',\n   176→      c.duration_seconds || '',\n   177→      c.handled_by || '',\n   178→      c.created_at\n   179→    ].join(',');\n   180→  });\n   181→\n   182→  return {\n   183→    data: [header, ...rows].join('\\n'),\n   184→    rowCount: comms.length\n   185→  };\n   186→}\n   187→\n   188→/**\n   189→ * Export analytics summary\n   190→ */\n   191→async function exportAnalyticsToCSV(filters = {}) {\n   192→  const { start_date, end_date, group_by = 'day' } = filters;\n   193→\n   194→  // Calculate date range\n   195→  const endDate = end_date ? new Date(end_date) : new Date();\n   196→  const startDate = start_date ? new Date(start_date) : new Date(endDate - 30 * 24 * 60 * 60 * 1000);\n   197→\n   198→  // Get communications in date range\n   199→  const { data: comms } = await db\n   200→    .from('communications')\n   201→    .select('type, direction, outcome, created_at')\n   202→    .gte('created_at', startDate.toISOString())\n   203→    .lte('created_at', endDate.toISOString());\n   204→\n   205→  // Get conversions in date range\n   206→  const { data: conversions } = await db\n   207→    .from('conversions')\n   208→    .select('value, converted_at')\n   209→    .gte('converted_at', startDate.toISOString())\n   210→    .lte('converted_at', endDate.toISOString());\n   211→\n   212→  // Group by date\n   213→  const grouped = {};\n   214→\n   215→  (comms || []).forEach(c => {\n   216→    const date = c.created_at.split('T')[0];\n   217→    if (!grouped[date]) {\n   218→      grouped[date] = { calls: 0, sms_sent: 0, sms_received: 0, conversations: 0, conversions: 0, revenue: 0 };\n   219→    }\n   220→    if (c.type === 'call' || c.type === 'call_outbound') {\n   221→      grouped[date].calls++;\n   222→      if (c.outcome && !['no_answer', 'voicemail', 'busy'].includes(c.outcome)) {\n   223→        grouped[date].conversations++;\n   224→      }\n   225→    }\n   226→    if (c.type === 'sms_outbound') grouped[date].sms_sent++;\n   227→    if (c.type === 'sms_inbound') grouped[date].sms_received++;\n   228→  });\n   229→\n   230→  (conversions || []).forEach(conv => {\n   231→    const date = conv.converted_at.split('T')[0];\n   232→    if (!grouped[date]) {\n   233→      grouped[date] = { calls: 0, sms_sent: 0, sms_received: 0, conversations: 0, conversions: 0, revenue: 0 };\n   234→    }\n   235→    grouped[date].conversions++;\n   236→    grouped[date].revenue += parseFloat(conv.value) || 0;\n   237→  });\n   238→\n   239→  // Sort by date\n   240→  const sortedDates = Object.keys(grouped).sort();\n   241→\n   242→  const header = 'date,calls,conversations,sms_sent,sms_received,conversions,revenue';\n   243→  const rows = sortedDates.map(date => {\n   244→    const d = grouped[date];\n   245→    return `${date},${d.calls},${d.conversations},${d.sms_sent},${d.sms_received},${d.conversions},${d.revenue.toFixed(2)}`;\n   246→  });\n   247→\n   248→  return {\n   249→    data: [header, ...rows].join('\\n'),\n   250→    rowCount: sortedDates.length\n   251→  };\n   252→}\n   253→\n   254→module.exports = {\n   255→  exportLeadsToCSV,\n   256→  exportLeadsToJSON,\n   257→  exportCommunicationsToCSV,\n   258→  exportAnalyticsToCSV\n   259→};\n   260→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"418521d3-e8ea-47fe-9c5c-5c9a6423ae05","timestamp":"2026-02-07T05:55:02.747Z","sourceToolAssistantUUID":"3c08dca8-f4b0-4178-a221-6570f0b9451f"}
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{"parentUuid":"00b14c49-d1fd-448e-ab10-47a14e1758f5","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M3kbFvWT14j7v6WcF6dLqQ","type":"tool_result","content":"     1→/**\n     2→ * Webhook Delivery Service\n     3→ * Handles sending webhooks to external endpoints with retry logic\n     4→ */\n     5→\n     6→const crypto = require('crypto');\n     7→const { supabase, supabaseAdmin } = require('../config/database');\n     8→const { fetchWithTimeout, isTimeoutError } = require('../utils/fetchWithTimeout');\n     9→\n    10→const db = supabaseAdmin || supabase;\n    11→\n    12→// Available webhook events\n    13→const WEBHOOK_EVENTS = [\n    14→  'lead.created',\n    15→  'lead.updated',\n    16→  'lead.converted',\n    17→  'lead.deleted',\n    18→  'call.started',\n    19→  'call.completed',\n    20→  'call.missed',\n    21→  'sms.inbound',\n    22→  'sms.outbound',\n    23→  'sequence.enrolled',\n    24→  'sequence.completed',\n    25→  'sequence.replied',\n    26→  'conversion.created',\n    27→  'note.created'\n    28→];\n    29→\n    30→/**\n    31→ * Sign a payload with HMAC-SHA256\n    32→ */\n    33→function signPayload(payload, secret) {\n    34→  const hmac = crypto.createHmac('sha256', secret);\n    35→  hmac.update(JSON.stringify(payload));\n    36→  return hmac.digest('hex');\n    37→}\n    38→\n    39→/**\n    40→ * Deliver a webhook to an endpoint\n    41→ */\n    42→async function deliverWebhook(endpointId, eventType, payload) {\n    43→  // Get endpoint details\n    44→  const { data: endpoint, error: endpointError } = await db\n    45→    .from('webhook_endpoints')\n    46→    .select('*')\n    47→    .eq('id', endpointId)\n    48→    .eq('is_active', true)\n    49→    .single();\n    50→\n    51→  if (endpointError || !endpoint) {\n    52→    console.warn(`[Webhook] Endpoint ${endpointId} not found or inactive`);\n    53→    return { success: false, error: 'Endpoint not found or inactive' };\n    54→  }\n    55→\n    56→  // Check if endpoint is subscribed to this event\n    57→  if (!endpoint.events.includes(eventType)) {\n    58→    return { success: false, error: `Endpoint not subscribed to ${eventType}` };\n    59→  }\n    60→\n    61→  const retryConfig = endpoint.retry_config || { max_attempts: 3, backoff_seconds: [60, 300, 900] };\n    62→\n    63→  // Create delivery record\n    64→  const { data: delivery, error: deliveryError } = await db\n    65→    .from('webhook_deliveries')\n    66→    .insert({\n    67→      endpoint_id: endpointId,\n    68→      event_type: eventType,\n    69→      payload,\n    70→      status: 'pending',\n    71→      max_attempts: retryConfig.max_attempts\n    72→    })\n    73→    .select()\n    74→    .single();\n    75→\n    76→  if (deliveryError) {\n    77→    console.error('[Webhook] Failed to create delivery record:', deliveryError);\n    78→    return { success: false, error: deliveryError.message };\n    79→  }\n    80→\n    81→  // Attempt delivery\n    82→  const result = await attemptDelivery(delivery.id, endpoint, payload);\n    83→  return result;\n    84→}\n    85→\n    86→/**\n    87→ * Attempt to deliver a webhook\n    88→ */\n    89→async function attemptDelivery(deliveryId, endpoint, payload) {\n    90→  // Increment attempt count\n    91→  const { data: delivery, error: fetchError } = await db\n    92→    .from('webhook_deliveries')\n    93→    .select('attempts, max_attempts')\n    94→    .eq('id', deliveryId)\n    95→    .single();\n    96→\n    97→  if (fetchError || !delivery) {\n    98→    return { success: false, error: 'Delivery record not found' };\n    99→  }\n   100→\n   101→  const attemptNum = delivery.attempts + 1;\n   102→\n   103→  await db\n   104→    .from('webhook_deliveries')\n   105→    .update({ attempts: attemptNum, status: 'retrying' })\n   106→    .eq('id', deliveryId);\n   107→\n   108→  try {\n   109→    // Build headers\n   110→    const headers = {\n   111→      'Content-Type': 'application/json',\n   112→      'User-Agent': 'RateRight-Webhooks/1.0',\n   113→      ...(endpoint.headers || {})\n   114→    };\n   115→\n   116→    // Add signature if secret is configured\n   117→    if (endpoint.secret) {\n   118→      const signature = signPayload(payload, endpoint.secret);\n   119→      headers['X-Webhook-Signature'] = `sha256=${signature}`;\n   120→    }\n   121→\n   122→    // Add timestamp and delivery ID headers\n   123→    headers['X-Webhook-Timestamp'] = new Date().toISOString();\n   124→    headers['X-Webhook-Delivery-ID'] = deliveryId;\n   125→\n   126→    // Make request with 30 second timeout\n   127→    const response = await fetchWithTimeout(\n   128→      endpoint.url,\n   129→      {\n   130→        method: 'POST',\n   131→        headers,\n   132→        body: JSON.stringify(payload)\n   133→      },\n   134→      30000\n   135→    );\n   136→\n   137→    const responseBody = await response.text();\n   138→\n   139→    if (response.ok) {\n   140→      // Success\n   141→      await db\n   142→        .from('webhook_deliveries')\n   143→        .update({\n   144→          status: 'success',\n   145→          response_code: response.status,\n   146→          response_body: responseBody.substring(0, 1000), // Limit stored response\n   147→          completed_at: new Date().toISOString()\n   148→        })\n   149→        .eq('id', deliveryId);\n   150→\n   151→      return { success: true, deliveryId, responseCode: response.status };\n   152→\n   153→    } else {\n   154→      // HTTP error - may retry\n   155→      return await handleFailure(deliveryId, delivery, endpoint, response.status, responseBody);\n   156→    }\n   157→\n   158→  } catch (error) {\n   159→    // Network/timeout error\n   160→    const errorMessage = isTimeoutError(error) ? 'Request timed out' : error.message;\n   161→    return await handleFailure(deliveryId, delivery, endpoint, null, errorMessage);\n   162→  }\n   163→}\n   164→\n   165→/**\n   166→ * Handle delivery failure - schedule retry or mark as failed\n   167→ */\n   168→async function handleFailure(deliveryId, delivery, endpoint, responseCode, errorMessage) {\n   169→  const retryConfig = endpoint.retry_config || { max_attempts: 3, backoff_seconds: [60, 300, 900] };\n   170→  const attemptNum = delivery.attempts + 1;\n   171→\n   172→  if (attemptNum < retryConfig.max_attempts) {\n   173→    // Schedule retry\n   174→    const backoffIndex = Math.min(attemptNum - 1, retryConfig.backoff_seconds.length - 1);\n   175→    const backoffSeconds = retryConfig.backoff_seconds[backoffIndex];\n   176→    const nextRetryAt = new Date(Date.now() + backoffSeconds * 1000);\n   177→\n   178→    await db\n   179→      .from('webhook_deliveries')\n   180→      .update({\n   181→        status: 'retrying',\n   182→        response_code: responseCode,\n   183→        error_message: String(errorMessage).substring(0, 500),\n   184→        next_retry_at: nextRetryAt.toISOString()\n   185→      })\n   186→      .eq('id', deliveryId);\n   187→\n   188→    console.log(`[Webhook] Delivery ${deliveryId} failed, retry scheduled in ${backoffSeconds}s`);\n   189→    return { success: false, retrying: true, nextRetryAt, deliveryId };\n   190→\n   191→  } else {\n   192→    // Max retries reached\n   193→    await db\n   194→      .from('webhook_deliveries')\n   195→      .update({\n   196→        status: 'failed',\n   197→        response_code: responseCode,\n   198→        error_message: String(errorMessage).substring(0, 500),\n   199→        completed_at: new Date().toISOString()\n   200→      })\n   201→      .eq('id', deliveryId);\n   202→\n   203→    console.log(`[Webhook] Delivery ${deliveryId} failed permanently after ${attemptNum} attempts`);\n   204→    return { success: false, retrying: false, deliveryId };\n   205→  }\n   206→}\n   207→\n   208→/**\n   209→ * Fire webhooks for an event\n   210→ * Called from other parts of the application when events occur\n   211→ */\n   212→async function fireWebhooks(eventType, data) {\n   213→  if (!WEBHOOK_EVENTS.includes(eventType)) {\n   214→    console.warn(`[Webhook] Unknown event type: ${eventType}`);\n   215→    return [];\n   216→  }\n   217→\n   218→  // Find active endpoints subscribed to this event\n   219→  const { data: endpoints, error } = await db\n   220→    .from('webhook_endpoints')\n   221→    .select('id, events')\n   222→    .eq('is_active', true)\n   223→    .contains('events', [eventType]);\n   224→\n   225→  if (error || !endpoints || endpoints.length === 0) {\n   226→    return [];\n   227→  }\n   228→\n   229→  // Build payload\n   230→  const payload = {\n   231→    event: eventType,\n   232→    timestamp: new Date().toISOString(),\n   233→    data\n   234→  };\n   235→\n   236→  // Deliver to all subscribed endpoints (async, don't wait)\n   237→  const deliveryPromises = endpoints.map(endpoint =>\n   238→    deliverWebhook(endpoint.id, eventType, payload).catch(err => {\n   239→      console.error(`[Webhook] Error delivering to ${endpoint.id}:`, err.message);\n   240→      return { success: false, error: err.message };\n   241→    })\n   242→  );\n   243→\n   244→  return Promise.all(deliveryPromises);\n   245→}\n   246→\n   247→/**\n   248→ * Process pending retries (called by job scheduler)\n   249→ */\n   250→async function processPendingRetries() {\n   251→  const now = new Date().toISOString();\n   252→\n   253→  // Find deliveries due for retry\n   254→  const { data: pendingDeliveries, error } = await db\n   255→    .from('webhook_deliveries')\n   256→    .select(`\n   257→      id,\n   258→      endpoint_id,\n   259→      payload,\n   260→      webhook_endpoints(*)\n   261→    `)\n   262→    .eq('status', 'retrying')\n   263→    .lte('next_retry_at', now)\n   264→    .limit(10);\n   265→\n   266→  if (error || !pendingDeliveries || pendingDeliveries.length === 0) {\n   267→    return { processed: 0 };\n   268→  }\n   269→\n   270→  let processed = 0;\n   271→  for (const delivery of pendingDeliveries) {\n   272→    if (delivery.webhook_endpoints) {\n   273→      await attemptDelivery(delivery.id, delivery.webhook_endpoints, delivery.payload);\n   274→      processed++;\n   275→    }\n   276→  }\n   277→\n   278→  return { processed };\n   279→}\n   280→\n   281→module.exports = {\n   282→  WEBHOOK_EVENTS,\n   283→  deliverWebhook,\n   284→  fireWebhooks,\n   285→  processPendingRetries,\n   286→  signPayload\n   287→};\n   288→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a53a9205-00a2-424b-8a67-b4ab01fa8b58","timestamp":"2026-02-07T05:55:03.221Z","sourceToolAssistantUUID":"00b14c49-d1fd-448e-ab10-47a14e1758f5"}
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{"parentUuid":"2d5f53e6-d7bc-4349-8d0c-722c2fdd3d2b","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RDAHnRdKrtcMnBe4xzMbgj","type":"tool_result","content":"     1→/**\n     2→ * Lead Enrichment Service\n     3→ * Integrates with Apollo.io and other data providers to enrich lead data\n     4→ */\n     5→\n     6→const { supabase, supabaseAdmin } = require('../config/database');\n     7→\n     8→const db = supabaseAdmin || supabase;\n     9→\n    10→// Enrichment sources configuration\n    11→const SOURCES = {\n    12→  apollo: {\n    13→    name: 'Apollo',\n    14→    endpoint: 'https://api.apollo.io/v1',\n    15→    personEndpoint: '/people/match',\n    16→    companyEndpoint: '/organizations/enrich'\n    17→  }\n    18→};\n    19→\n    20→/**\n    21→ * Get enrichment config for a source\n    22→ */\n    23→async function getConfig(source = 'apollo') {\n    24→  const { data, error } = await db\n    25→    .from('enrichment_config')\n    26→    .select('*')\n    27→    .eq('source', source)\n    28→    .single();\n    29→\n    30→  if (error) {\n    31→    console.error(`[Enrichment] Config fetch error for ${source}:`, error);\n    32→    return null;\n    33→  }\n    34→\n    35→  return data;\n    36→}\n    37→\n    38→/**\n    39→ * Update enrichment config\n    40→ */\n    41→async function updateConfig(source, updates) {\n    42→  const { data, error } = await db\n    43→    .from('enrichment_config')\n    44→    .update({\n    45→      ...updates,\n    46→      updated_at: new Date().toISOString()\n    47→    })\n    48→    .eq('source', source)\n    49→    .select()\n    50→    .single();\n    51→\n    52→  if (error) throw error;\n    53→  return data;\n    54→}\n    55→\n    56→/**\n    57→ * Check if we have credits available\n    58→ */\n    59→async function hasCredits(source = 'apollo', creditsNeeded = 1) {\n    60→  const config = await getConfig(source);\n    61→  if (!config || !config.is_enabled) {\n    62→    return { available: false, reason: 'Source not enabled' };\n    63→  }\n    64→\n    65→  const remaining = config.monthly_limit - config.credits_used_this_month;\n    66→  if (remaining < creditsNeeded) {\n    67→    return { available: false, reason: 'Monthly limit reached', remaining };\n    68→  }\n    69→\n    70→  return { available: true, remaining };\n    71→}\n    72→\n    73→/**\n    74→ * Consume enrichment credits\n    75→ */\n    76→async function consumeCredits(source, credits, userId = null) {\n    77→  // Update monthly usage\n    78→  await db\n    79→    .from('enrichment_config')\n    80→    .update({\n    81→      credits_used_this_month: db.raw('credits_used_this_month + ?', [credits]),\n    82→      updated_at: new Date().toISOString()\n    83→    })\n    84→    .eq('source', source);\n    85→\n    86→  // Record usage\n    87→  const now = new Date();\n    88→  const periodStart = new Date(now.getFullYear(), now.getMonth(), 1);\n    89→  const periodEnd = new Date(now.getFullYear(), now.getMonth() + 1, 0);\n    90→\n    91→  await db\n    92→    .from('enrichment_usage')\n    93→    .insert({\n    94→      user_id: userId,\n    95→      source,\n    96→      credits_used: credits,\n    97→      period_start: periodStart.toISOString().split('T')[0],\n    98→      period_end: periodEnd.toISOString().split('T')[0]\n    99→    });\n   100→}\n   101→\n   102→/**\n   103→ * Get cached enrichment for a lead\n   104→ */\n   105→async function getCachedEnrichment(leadId, source = 'apollo') {\n   106→  const { data, error } = await db\n   107→    .from('enrichment_cache')\n   108→    .select('*')\n   109→    .eq('lead_id', leadId)\n   110→    .eq('source', source)\n   111→    .single();\n   112→\n   113→  if (error && error.code !== 'PGRST116') {\n   114→    console.error('[Enrichment] Cache fetch error:', error);\n   115→  }\n   116→\n   117→  // Check if cache is expired\n   118→  if (data && data.expires_at) {\n   119→    if (new Date(data.expires_at) < new Date()) {\n   120→      return null; // Expired\n   121→    }\n   122→  }\n   123→\n   124→  return data;\n   125→}\n   126→\n   127→/**\n   128→ * Save enrichment to cache\n   129→ */\n   130→async function cacheEnrichment(leadId, source, enrichedData, confidenceScore = null, config = null) {\n   131→  const cfg = config || await getConfig(source);\n   132→  const cacheDays = cfg?.cache_ttl_days || 90;\n   133→  const expiresAt = new Date();\n   134→  expiresAt.setDate(expiresAt.getDate() + cacheDays);\n   135→\n   136→  const { data, error } = await db\n   137→    .from('enrichment_cache')\n   138→    .upsert({\n   139→      lead_id: leadId,\n   140→      source,\n   141→      enriched_data: enrichedData,\n   142→      confidence_score: confidenceScore,\n   143→      enriched_at: new Date().toISOString(),\n   144→      expires_at: expiresAt.toISOString()\n   145→    }, {\n   146→      onConflict: 'lead_id,source'\n   147→    })\n   148→    .select()\n   149→    .single();\n   150→\n   151→  if (error) {\n   152→    console.error('[Enrichment] Cache save error:', error);\n   153→    throw error;\n   154→  }\n   155→\n   156→  return data;\n   157→}\n   158→\n   159→/**\n   160→ * Enrich a lead using Apollo.io API\n   161→ */\n   162→async function enrichWithApollo(lead, config) {\n   163→  if (!config.api_key_encrypted) {\n   164→    throw new Error('Apollo API key not configured');\n   165→  }\n   166→\n   167→  const apiKey = config.api_key_encrypted; // In production, decrypt this\n   168→\n   169→  const payload = {};\n   170→\n   171→  // Build search payload from lead data\n   172→  if (lead.email) {\n   173→    payload.email = lead.email;\n   174→  }\n   175→  if (lead.first_name) {\n   176→    payload.first_name = lead.first_name;\n   177→  }\n   178→  if (lead.last_name) {\n   179→    payload.last_name = lead.last_name;\n   180→  }\n   181→  if (lead.company) {\n   182→    payload.organization_name = lead.company;\n   183→  }\n   184→\n   185→  if (!payload.email && !payload.organization_name) {\n   186→    throw new Error('Need email or company name for Apollo enrichment');\n   187→  }\n   188→\n   189→  try {\n   190→    const response = await fetch(`${SOURCES.apollo.endpoint}${SOURCES.apollo.personEndpoint}`, {\n   191→      method: 'POST',\n   192→      headers: {\n   193→        'Content-Type': 'application/json',\n   194→        'Cache-Control': 'no-cache',\n   195→        'X-Api-Key': apiKey\n   196→      },\n   197→      body: JSON.stringify(payload)\n   198→    });\n   199→\n   200→    if (!response.ok) {\n   201→      const errorText = await response.text();\n   202→      throw new Error(`Apollo API error: ${response.status} - ${errorText}`);\n   203→    }\n   204→\n   205→    const data = await response.json();\n   206→\n   207→    // Calculate confidence score based on match quality\n   208→    let confidence = 0.5;\n   209→    if (data.person) {\n   210→      if (data.person.email_status === 'verified') confidence += 0.3;\n   211→      if (data.person.first_name && data.person.last_name) confidence += 0.1;\n   212→      if (data.person.organization) confidence += 0.1;\n   213→    }\n   214→\n   215→    return {\n   216→      success: true,\n   217→      data: data.person || data,\n   218→      confidence: Math.min(1, confidence)\n   219→    };\n   220→\n   221→  } catch (err) {\n   222→    console.error('[Enrichment] Apollo API error:', err);\n   223→    return {\n   224→      success: false,\n   225→      error: err.message\n   226→    };\n   227→  }\n   228→}\n   229→\n   230→/**\n   231→ * Enrich a single lead\n   232→ */\n   233→async function enrichLead(leadId, options = {}) {\n   234→  const { source = 'apollo', force = false, userId = null } = options;\n   235→\n   236→  // Get lead data\n   237→  const { data: lead, error: leadError } = await db\n   238→    .from('leads')\n   239→    .select('*')\n   240→    .eq('id', leadId)\n   241→    .single();\n   242→\n   243→  if (leadError || !lead) {\n   244→    throw new Error('Lead not found');\n   245→  }\n   246→\n   247→  // Check cache first (unless forcing refresh)\n   248→  if (!force) {\n   249→    const cached = await getCachedEnrichment(leadId, source);\n   250→    if (cached) {\n   251→      return {\n   252→        success: true,\n   253→        cached: true,\n   254→        enrichment: cached\n   255→      };\n   256→    }\n   257→  }\n   258→\n   259→  // Check credits\n   260→  const creditCheck = await hasCredits(source, 1);\n   261→  if (!creditCheck.available) {\n   262→    return {\n   263→      success: false,\n   264→      error: creditCheck.reason\n   265→    };\n   266→  }\n   267→\n   268→  // Get config\n   269→  const config = await getConfig(source);\n   270→  if (!config || !config.is_enabled) {\n   271→    return {\n   272→      success: false,\n   273→      error: 'Enrichment source not enabled'\n   274→    };\n   275→  }\n   276→\n   277→  // Perform enrichment based on source\n   278→  let result;\n   279→  switch (source) {\n   280→    case 'apollo':\n   281→      result = await enrichWithApollo(lead, config);\n   282→      break;\n   283→    default:\n   284→      return { success: false, error: `Unknown source: ${source}` };\n   285→  }\n   286→\n   287→  if (!result.success) {\n   288→    return result;\n   289→  }\n   290→\n   291→  // Cache the result\n   292→  const cached = await cacheEnrichment(leadId, source, result.data, result.confidence, config);\n   293→\n   294→  // Consume credits\n   295→  await consumeCredits(source, 1, userId);\n   296→\n   297→  // Optionally update lead with enriched data\n   298→  if (result.data) {\n   299→    const updates = {};\n   300→\n   301→    // Map Apollo fields to lead fields\n   302→    if (result.data.title && !lead.job_title) {\n   303→      updates.job_title = result.data.title;\n   304→    }\n   305→    if (result.data.linkedin_url && !lead.linkedin_url) {\n   306→      updates.linkedin_url = result.data.linkedin_url;\n   307→    }\n   308→    if (result.data.phone_numbers?.length && !lead.phone) {\n   309→      updates.phone = result.data.phone_numbers[0].sanitized_number;\n   310→    }\n   311→    if (result.data.organization?.name && !lead.company) {\n   312→      updates.company = result.data.organization.name;\n   313→    }\n   314→\n   315→    if (Object.keys(updates).length > 0) {\n   316→      await db\n   317→        .from('leads')\n   318→        .update({\n   319→          ...updates,\n   320→          updated_at: new Date().toISOString()\n   321→        })\n   322→        .eq('id', leadId);\n   323→    }\n   324→  }\n   325→\n   326→  return {\n   327→    success: true,\n   328→    cached: false,\n   329→    enrichment: cached\n   330→  };\n   331→}\n   332→\n   333→/**\n   334→ * Bulk enrich multiple leads\n   335→ */\n   336→async function enrichLeadsBulk(leadIds, options = {}) {\n   337→  const { source = 'apollo', userId = null } = options;\n   338→\n   339→  // Check available credits\n   340→  const creditCheck = await hasCredits(source, leadIds.length);\n   341→  if (!creditCheck.available) {\n   342→    return {\n   343→      success: false,\n   344→      error: creditCheck.reason,\n   345→      remaining: creditCheck.remaining\n   346→    };\n   347→  }\n   348→\n   349→  const results = {\n   350→    total: leadIds.length,\n   351→    enriched: 0,\n   352→    cached: 0,\n   353→    failed: 0,\n   354→    errors: []\n   355→  };\n   356→\n   357→  for (const leadId of leadIds) {\n   358→    try {\n   359→      const result = await enrichLead(leadId, { source, userId });\n   360→      if (result.success) {\n   361→        if (result.cached) {\n   362→          results.cached++;\n   363→        } else {\n   364→          results.enriched++;\n   365→        }\n   366→      } else {\n   367→        results.failed++;\n   368→        results.errors.push({ leadId, error: result.error });\n   369→      }\n   370→    } catch (err) {\n   371→      results.failed++;\n   372→      results.errors.push({ leadId, error: err.message });\n   373→    }\n   374→  }\n   375→\n   376→  return {\n   377→    success: results.failed === 0,\n   378→    results\n   379→  };\n   380→}\n   381→\n   382→/**\n   383→ * Get usage statistics\n   384→ */\n   385→async function getUsageStats(source = 'apollo') {\n   386→  const config = await getConfig(source);\n   387→  if (!config) {\n   388→    return null;\n   389→  }\n   390→\n   391→  // Get this month's detailed usage\n   392→  const now = new Date();\n   393→  const periodStart = new Date(now.getFullYear(), now.getMonth(), 1).toISOString().split('T')[0];\n   394→  const periodEnd = new Date(now.getFullYear(), now.getMonth() + 1, 0).toISOString().split('T')[0];\n   395→\n   396→  const { data: usage } = await db\n   397→    .from('enrichment_usage')\n   398→    .select('*')\n   399→    .eq('source', source)\n   400→    .gte('period_start', periodStart)\n   401→    .lte('period_end', periodEnd);\n   402→\n   403→  return {\n   404→    source,\n   405→    isEnabled: config.is_enabled,\n   406→    monthlyLimit: config.monthly_limit,\n   407→    creditsUsed: config.credits_used_this_month,\n   408→    creditsRemaining: config.monthly_limit - config.credits_used_this_month,\n   409→    autoEnrich: config.auto_enrich,\n   410→    cacheTtlDays: config.cache_ttl_days,\n   411→    usageHistory: usage || []\n   412→  };\n   413→}\n   414→\n   415→module.exports = {\n   416→  getConfig,\n   417→  updateConfig,\n   418→  hasCredits,\n   419→  getCachedEnrichment,\n   420→  enrichLead,\n   421→  enrichLeadsBulk,\n   422→  getUsageStats,\n   423→  SOURCES\n   424→};\n   425→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"427bc64f-9f75-4956-b562-a5139cd8635e","timestamp":"2026-02-07T05:55:03.653Z","sourceToolAssistantUUID":"2d5f53e6-d7bc-4349-8d0c-722c2fdd3d2b"}
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{"parentUuid":"e827f31f-ff06-41f3-a934-86a6102e56e2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TTwH6JfuMxcpKiNC2J1Byp","toolUseID":"toolu_01TTwH6JfuMxcpKiNC2J1Byp","timestamp":"2026-02-07T05:55:07.163Z","uuid":"b3fb93e8-f706-4dea-b4f8-f412e640b942"}
{"parentUuid":"e827f31f-ff06-41f3-a934-86a6102e56e2","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TTwH6JfuMxcpKiNC2J1Byp","type":"tool_result","content":"     1→/**\n     2→ * Job Locking Service\n     3→ * Prevents duplicate job execution and provides job coordination\n     4→ */\n     5→\n     6→const { supabaseAdmin, supabase } = require('../config/database');\n     7→\n     8→// Use admin client to bypass RLS (job_locks table has service_role only policy)\n     9→const db = supabaseAdmin || supabase;\n    10→\n    11→/**\n    12→ * Acquire a job lock\n    13→ * @param {string} jobName - Unique job identifier\n    14→ * @param {number} timeoutMs - Lock timeout in milliseconds (default: 5 minutes)\n    15→ * @returns {Promise<{success: boolean, lockId?: string, error?: string}>}\n    16→ */\n    17→async function acquireJobLock(jobName, timeoutMs = 5 * 60 * 1000) {\n    18→  try {\n    19→    const lockId = `job_lock_${jobName}_${Date.now()}`;\n    20→    const expiresAt = new Date(Date.now() + timeoutMs).toISOString();\n    21→\n    22→    // Try to insert lock (unique constraint on job_name prevents duplicates)\n    23→    const { data, error } = await db\n    24→      .from('job_locks')\n    25→      .insert({\n    26→        job_name: jobName,\n    27→        lock_id: lockId,\n    28→        acquired_at: new Date().toISOString(),\n    29→        expires_at: expiresAt,\n    30→        status: 'acquired'\n    31→      })\n    32→      .select('lock_id')\n    33→      .single();\n    34→\n    35→    if (error) {\n    36→      // Check if lock already exists and is still valid\n    37→      const { data: existingLock } = await db\n    38→        .from('job_locks')\n    39→        .select('expires_at, status')\n    40→        .eq('job_name', jobName)\n    41→        .single();\n    42→\n    43→      if (existingLock) {\n    44→        const isExpired = new Date(existingLock.expires_at) < new Date();\n    45→        if (!isExpired && existingLock.status === 'acquired') {\n    46→          return {\n    47→            success: false,\n    48→            error: `Job \"${jobName}\" is already running (lock expires at ${existingLock.expires_at})`\n    49→          };\n    50→        }\n    51→\n    52→        // Lock exists but is expired or released - clean it up\n    53→        await db\n    54→          .from('job_locks')\n    55→          .delete()\n    56→          .eq('job_name', jobName);\n    57→        \n    58→        // Try again\n    59→        return acquireJobLock(jobName, timeoutMs);\n    60→      }\n    61→      \n    62→      return { success: false, error: error.message };\n    63→    }\n    64→\n    65→    return { success: true, lockId };\n    66→  } catch (error) {\n    67→    console.error(`[JobLocking] Failed to acquire lock for \"${jobName}\":`, error.message);\n    68→    return { success: false, error: error.message };\n    69→  }\n    70→}\n    71→\n    72→/**\n    73→ * Release a job lock\n    74→ * @param {string} jobName - Unique job identifier\n    75→ * @param {string} lockId - Lock ID to verify ownership\n    76→ * @returns {Promise<{success: boolean, error?: string}>}\n    77→ */\n    78→async function releaseJobLock(jobName, lockId) {\n    79→  try {\n    80→    const { error } = await db\n    81→      .from('job_locks')\n    82→      .delete()\n    83→      .eq('job_name', jobName)\n    84→      .eq('lock_id', lockId);\n    85→\n    86→    if (error) {\n    87→      console.error(`[JobLocking] Failed to release lock for \"${jobName}\":`, error.message);\n    88→      return { success: false, error: error.message };\n    89→    }\n    90→\n    91→    return { success: true };\n    92→  } catch (error) {\n    93→    console.error(`[JobLocking] Failed to release lock for \"${jobName}\":`, error.message);\n    94→    return { success: false, error: error.message };\n    95→  }\n    96→}\n    97→\n    98→/**\n    99→ * Run a job with locking\n   100→ * @param {string} jobName - Unique job identifier\n   101→ * @param {Function} jobFunction - Async function to execute\n   102→ * @param {number} timeoutMs - Lock timeout in milliseconds\n   103→ * @returns {Promise<{success: boolean, result?: any, error?: string}>}\n   104→ */\n   105→async function runJobWithLock(jobName, jobFunction, timeoutMs = 5 * 60 * 1000) {\n   106→  console.log(`[JobLocking] Attempting to run job: ${jobName}`);\n   107→  \n   108→  const lock = await acquireJobLock(jobName, timeoutMs);\n   109→  if (!lock.success) {\n   110→    console.log(`[JobLocking] Skipping job \"${jobName}\" - ${lock.error}`);\n   111→    return { success: false, error: lock.error, skipped: true };\n   112→  }\n   113→\n   114→  console.log(`[JobLocking] Acquired lock for \"${jobName}\" (lockId: ${lock.lockId})`);\n   115→  \n   116→  try {\n   117→    const result = await jobFunction();\n   118→    console.log(`[JobLocking] Job \"${jobName}\" completed successfully`);\n   119→    \n   120→    await releaseJobLock(jobName, lock.lockId);\n   121→    console.log(`[JobLocking] Released lock for \"${jobName}\"`);\n   122→    \n   123→    return { success: true, result };\n   124→  } catch (error) {\n   125→    console.error(`[JobLocking] Job \"${jobName}\" failed:`, error.message);\n   126→    \n   127→    // Still release lock on failure (job is done, even if failed)\n   128→    await releaseJobLock(jobName, lock.lockId).catch(() => {});\n   129→    \n   130→    return { success: false, error: error.message };\n   131→  }\n   132→}\n   133→\n   134→/**\n   135→ * Check if a job is currently running\n   136→ * @param {string} jobName - Unique job identifier\n   137→ * @returns {Promise<{isRunning: boolean, expiresAt?: string, lockId?: string}>}\n   138→ */\n   139→async function isJobRunning(jobName) {\n   140→  try {\n   141→    const { data } = await db\n   142→      .from('job_locks')\n   143→      .select('lock_id, expires_at, status')\n   144→      .eq('job_name', jobName)\n   145→      .eq('status', 'acquired')\n   146→      .single();\n   147→\n   148→    if (!data) {\n   149→      return { isRunning: false };\n   150→    }\n   151→\n   152→    const isExpired = new Date(data.expires_at) < new Date();\n   153→    if (isExpired) {\n   154→      // Clean up expired lock\n   155→      await db\n   156→        .from('job_locks')\n   157→        .delete()\n   158→        .eq('job_name', jobName);\n   159→      return { isRunning: false };\n   160→    }\n   161→\n   162→    return { \n   163→      isRunning: true, \n   164→      expiresAt: data.expires_at,\n   165→      lockId: data.lock_id\n   166→    };\n   167→  } catch (error) {\n   168→    // No lock found or other error\n   169→    return { isRunning: false };\n   170→  }\n   171→}\n   172→\n   173→/**\n   174→ * Clean up expired locks (maintenance function)\n   175→ */\n   176→async function cleanupExpiredLocks() {\n   177→  try {\n   178→    const { count, error } = await db\n   179→      .from('job_locks')\n   180→      .delete()\n   181→      .lt('expires_at', new Date().toISOString());\n   182→\n   183→    if (error) {\n   184→      console.error('[JobLocking] Failed to cleanup expired locks:', error.message);\n   185→      return { success: false, error: error.message };\n   186→    }\n   187→\n   188→    if (count > 0) {\n   189→      console.log(`[JobLocking] Cleaned up ${count} expired locks`);\n   190→    }\n   191→\n   192→    return { success: true, cleaned: count };\n   193→  } catch (error) {\n   194→    console.error('[JobLocking] Failed to cleanup expired locks:', error.message);\n   195→    return { success: false, error: error.message };\n   196→  }\n   197→}\n   198→\n   199→module.exports = {\n   200→  acquireJobLock,\n   201→  releaseJobLock,\n   202→  runJobWithLock,\n   203→  isJobRunning,\n   204→  cleanupExpiredLocks\n   205→};\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e92a395e-b8d6-42df-be75-db88ac5b5e00","timestamp":"2026-02-07T05:55:07.163Z","sourceToolAssistantUUID":"e827f31f-ff06-41f3-a934-86a6102e56e2"}
{"parentUuid":"e92a395e-b8d6-42df-be75-db88ac5b5e00","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_015JfJaH4YX3T91N6N4zTRFt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019NopDb6Hz6w3Rkmo9nNrRV","name":"Read","input":{"file_path":"/home/ccuser/rateright-growth/src/services/twilio.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15083,"cache_read_input_tokens":108328,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":15083},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtC4RRbX2HyMU27p2RqB","type":"assistant","uuid":"38157b4b-423c-4823-a5c6-9aa51b598069","timestamp":"2026-02-07T05:55:07.555Z"}
{"parentUuid":"38157b4b-423c-4823-a5c6-9aa51b598069","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019NopDb6Hz6w3Rkmo9nNrRV","toolUseID":"toolu_019NopDb6Hz6w3Rkmo9nNrRV","timestamp":"2026-02-07T05:55:07.557Z","uuid":"16341474-9db6-4573-b7ee-0b49621e3e9c"}
{"parentUuid":"38157b4b-423c-4823-a5c6-9aa51b598069","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019NopDb6Hz6w3Rkmo9nNrRV","type":"tool_result","content":"     1→/**\n     2→ * Twilio service for SMS and Voice\n     3→ */\n     4→\n     5→const twilio = require('twilio');\n     6→const AccessToken = twilio.jwt.AccessToken;\n     7→const VoiceGrant = AccessToken.VoiceGrant;\n     8→\n     9→// Initialize Twilio client (lazy initialization)\n    10→let twilioClient = null;\n    11→\n    12→function getClient() {\n    13→  if (!twilioClient) {\n    14→    const accountSid = process.env.TWILIO_ACCOUNT_SID;\n    15→    const authToken = process.env.TWILIO_AUTH_TOKEN;\n    16→\n    17→    if (!accountSid || !authToken) {\n    18→      console.warn('Twilio not configured - missing ACCOUNT_SID or AUTH_TOKEN');\n    19→      return null;\n    20→    }\n    21→\n    22→    twilioClient = twilio(accountSid, authToken);\n    23→  }\n    24→  return twilioClient;\n    25→}\n    26→\n    27→/**\n    28→ * Generate a Voice access token for browser-based calling\n    29→ * @param {string} identity - Unique identity for this user/session\n    30→ * @returns {{success: boolean, token?: string, identity?: string, error?: string}}\n    31→ */\n    32→function generateVoiceToken(identity) {\n    33→  const accountSid = process.env.TWILIO_ACCOUNT_SID;\n    34→  const apiKeySid = process.env.TWILIO_API_KEY_SID;\n    35→  const apiKeySecret = process.env.TWILIO_API_KEY_SECRET;\n    36→  const twimlAppSid = process.env.TWILIO_TWIML_APP_SID;\n    37→\n    38→  if (!accountSid || !apiKeySid || !apiKeySecret) {\n    39→    return { success: false, error: 'Twilio Voice not configured - missing API keys' };\n    40→  }\n    41→\n    42→  try {\n    43→    const token = new AccessToken(accountSid, apiKeySid, apiKeySecret, {\n    44→      identity: identity,\n    45→      ttl: 3600 // 1 hour\n    46→    });\n    47→\n    48→    const voiceGrant = new VoiceGrant({\n    49→      outgoingApplicationSid: twimlAppSid,\n    50→      incomingAllow: true // Allow incoming calls to ring in the browser\n    51→    });\n    52→\n    53→    token.addGrant(voiceGrant);\n    54→\n    55→    return {\n    56→      success: true,\n    57→      token: token.toJwt(),\n    58→      identity: identity\n    59→    };\n    60→  } catch (error) {\n    61→    console.error('Failed to generate Voice token:', error);\n    62→    return { success: false, error: error.message };\n    63→  }\n    64→}\n    65→\n    66→/**\n    67→ * Check if Voice calling is configured\n    68→ * @returns {boolean}\n    69→ */\n    70→function isVoiceConfigured() {\n    71→  return !!(process.env.TWILIO_ACCOUNT_SID &&\n    72→            process.env.TWILIO_API_KEY_SID &&\n    73→            process.env.TWILIO_API_KEY_SECRET &&\n    74→            process.env.TWILIO_TWIML_APP_SID);\n    75→}\n    76→\n    77→/**\n    78→ * Send an SMS message\n    79→ * @param {string} to - Recipient phone number (E.164 format)\n    80→ * @param {string} body - Message body\n    81→ * @returns {Promise<{success: boolean, messageSid?: string, error?: string}>}\n    82→ */\n    83→async function sendSMS(to, body) {\n    84→  // Check if SMS sending is globally disabled\n    85→  if (process.env.DISABLE_ALL_SMS === 'true') {\n    86→    console.log(`SMS blocked to ${to}: ${process.env.SMS_PAUSE_REASON || 'Sales/marketing paused'}`);\n    87→    return { success: false, error: process.env.SMS_PAUSE_REASON || 'SMS sending disabled' };\n    88→  }\n    89→\n    90→  const client = getClient();\n    91→  const from = process.env.TWILIO_PHONE_NUMBER;\n    92→\n    93→  if (!client) {\n    94→    return { success: false, error: 'Twilio not configured' };\n    95→  }\n    96→\n    97→  if (!from) {\n    98→    return { success: false, error: 'TWILIO_PHONE_NUMBER not set' };\n    99→  }\n   100→\n   101→  try {\n   102→    const message = await client.messages.create({\n   103→      body,\n   104→      to,\n   105→      from\n   106→    });\n   107→\n   108→    console.log(`SMS sent to ${to}: ${message.sid}`);\n   109→    return { success: true, messageSid: message.sid };\n   110→  } catch (error) {\n   111→    console.error(`Failed to send SMS to ${to}:`, error.message);\n   112→    return { success: false, error: error.message };\n   113→  }\n   114→}\n   115→\n   116→/**\n   117→ * Send batch SMS messages\n   118→ * @param {Array<{to: string, body: string}>} messages - Array of messages\n   119→ * @returns {Promise<{sent: number, failed: number, results: Array}>}\n   120→ */\n   121→async function sendBatchSMS(messages) {\n   122→  const results = [];\n   123→  let sent = 0;\n   124→  let failed = 0;\n   125→\n   126→  for (const msg of messages) {\n   127→    const result = await sendSMS(msg.to, msg.body);\n   128→    results.push({ to: msg.to, ...result });\n   129→\n   130→    if (result.success) {\n   131→      sent++;\n   132→    } else {\n   133→      failed++;\n   134→    }\n   135→\n   136→    // Small delay between messages to avoid rate limiting\n   137→    await new Promise(resolve => setTimeout(resolve, 100));\n   138→  }\n   139→\n   140→  return { sent, failed, results };\n   141→}\n   142→\n   143→/**\n   144→ * Validate Twilio webhook signature\n   145→ * @param {string} signature - X-Twilio-Signature header\n   146→ * @param {string} url - Full webhook URL\n   147→ * @param {object} params - Request body params\n   148→ * @returns {boolean}\n   149→ */\n   150→function validateWebhookSignature(signature, url, params) {\n   151→  const authToken = process.env.TWILIO_AUTH_TOKEN;\n   152→\n   153→  if (!authToken) {\n   154→    console.warn('Cannot validate webhook - AUTH_TOKEN not set');\n   155→    return false;\n   156→  }\n   157→\n   158→  return twilio.validateRequest(authToken, signature, url, params);\n   159→}\n   160→\n   161→/**\n   162→ * Check if Twilio is configured\n   163→ * @returns {boolean}\n   164→ */\n   165→function isConfigured() {\n   166→  return !!(process.env.TWILIO_ACCOUNT_SID &&\n   167→            process.env.TWILIO_AUTH_TOKEN &&\n   168→            process.env.TWILIO_PHONE_NUMBER);\n   169→}\n   170→\n   171→module.exports = {\n   172→  sendSMS,\n   173→  sendBatchSMS,\n   174→  validateWebhookSignature,\n   175→  isConfigured,\n   176→  generateVoiceToken,\n   177→  isVoiceConfigured\n   178→};\n   179→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9cd3f98b-cacc-48ef-a671-cc7d2aeedb8e","timestamp":"2026-02-07T05:55:07.557Z","sourceToolAssistantUUID":"38157b4b-423c-4823-a5c6-9aa51b598069"}
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{"parentUuid":"c8e44858-922b-41fa-9bd2-32be461f899e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FwwYNwYxcoa2cBqkM2bifS","type":"tool_result","content":"     1→const Redis = require('ioredis');\n     2→const { createCacheManager } = require('cache-manager');\n     3→const redisStore = require('cache-manager-redis-store');\n     4→\n     5→class CacheService {\n     6→  constructor() {\n     7→    this.redisClient = null;\n     8→    this.cacheManager = null;\n     9→    this.isConnected = false;\n    10→    this.init();\n    11→  }\n    12→\n    13→  async init() {\n    14→    try {\n    15→      const redisUrl = process.env.REDIS_URL || 'redis://localhost:6379';\n    16→      \n    17→      // Create Redis client\n    18→      this.redisClient = new Redis(redisUrl, {\n    19→        retryStrategy: (times) => {\n    20→          const delay = Math.min(times * 50, 2000);\n    21→          return delay;\n    22→        },\n    23→        maxRetriesPerRequest: 3,\n    24→        enableReadyCheck: true,\n    25→        lazyConnect: true,\n    26→      });\n    27→\n    28→      // Create cache manager\n    29→      this.cacheManager = createCacheManager({\n    30→        store: redisStore,\n    31→        host: process.env.REDIS_HOST || 'localhost',\n    32→        port: process.env.REDIS_PORT || 6379,\n    33→        password: process.env.REDIS_PASSWORD,\n    34→        db: process.env.REDIS_DB || 0,\n    35→        ttl: 3600, // Default TTL: 1 hour\n    36→      });\n    37→\n    38→      // Test connection\n    39→      await this.redisClient.ping();\n    40→      this.isConnected = true;\n    41→      console.log('✅ Redis cache connected successfully');\n    42→    } catch (error) {\n    43→      console.warn('⚠️ Redis not available, using in-memory cache:', error.message);\n    44→      this.isConnected = false;\n    45→      // Fallback to in-memory cache\n    46→      this.cacheManager = createCacheManager({\n    47→        store: 'memory',\n    48→        max: 100,\n    49→        ttl: 600, // 10 minutes for memory cache\n    50→      });\n    51→    }\n    52→  }\n    53→\n    54→  /**\n    55→   * Get cached value\n    56→   * @param {string} key - Cache key\n    57→   * @returns {Promise<any>} - Cached value\n    58→   */\n    59→  async get(key) {\n    60→    if (!this.cacheManager) return null;\n    61→    \n    62→    try {\n    63→      return await this.cacheManager.get(key);\n    64→    } catch (error) {\n    65→      console.error('Cache get error:', error);\n    66→      return null;\n    67→    }\n    68→  }\n    69→\n    70→  /**\n    71→   * Set cached value\n    72→   * @param {string} key - Cache key\n    73→   * @param {any} value - Value to cache\n    74→   * @param {number} ttl - Time to live in seconds\n    75→   * @returns {Promise<void>}\n    76→   */\n    77→  async set(key, value, ttl = null) {\n    78→    if (!this.cacheManager) return;\n    79→    \n    80→    try {\n    81→      await this.cacheManager.set(key, value, { ttl: ttl || 3600 });\n    82→    } catch (error) {\n    83→      console.error('Cache set error:', error);\n    84→    }\n    85→  }\n    86→\n    87→  /**\n    88→   * Delete cached value\n    89→   * @param {string} key - Cache key\n    90→   * @returns {Promise<void>}\n    91→   */\n    92→  async del(key) {\n    93→    if (!this.cacheManager) return;\n    94→    \n    95→    try {\n    96→      await this.cacheManager.del(key);\n    97→    } catch (error) {\n    98→      console.error('Cache delete error:', error);\n    99→    }\n   100→  }\n   101→\n   102→  /**\n   103→   * Delete keys by pattern\n   104→   * @param {string} pattern - Redis pattern\n   105→   * @returns {Promise<void>}\n   106→   */\n   107→  async delPattern(pattern) {\n   108→    if (!this.redisClient || !this.isConnected) return;\n   109→    \n   110→    try {\n   111→      const keys = await this.redisClient.keys(pattern);\n   112→      if (keys.length > 0) {\n   113→        await this.redisClient.del(...keys);\n   114→      }\n   115→    } catch (error) {\n   116→      console.error('Cache delete pattern error:', error);\n   117→    }\n   118→  }\n   119→\n   120→  /**\n   121→   * Clear all cache\n   122→   * @returns {Promise<void>}\n   123→   */\n   124→  async clear() {\n   125→    if (!this.redisClient || !this.isConnected) return;\n   126→    \n   127→    try {\n   128→      await this.redisClient.flushdb();\n   129→    } catch (error) {\n   130→      console.error('Cache clear error:', error);\n   131→    }\n   132→  }\n   133→\n   134→  /**\n   135→   * Generate cache key for API endpoints\n   136→   * @param {string} endpoint - API endpoint\n   137→   * @param {object} params - Query parameters\n   138→   * @returns {string} - Cache key\n   139→   */\n   140→  generateApiKey(endpoint, params = {}) {\n   141→    const sortedParams = Object.keys(params)\n   142→      .sort()\n   143→      .map(key => `${key}=${JSON.stringify(params[key])}`)\n   144→      .join('&');\n   145→    \n   146→    return `api:${endpoint}:${sortedParams ? `?${sortedParams}` : ''}`;\n   147→  }\n   148→\n   149→  /**\n   150→   * Cache middleware for Express routes\n   151→   * @param {number} ttl - Cache TTL in seconds\n   152→   * @returns {Function} - Express middleware\n   153→   */\n   154→  cacheMiddleware(ttl = 300) {\n   155→    return async (req, res, next) => {\n   156→      // Skip cache for non-GET requests\n   157→      if (req.method !== 'GET') {\n   158→        return next();\n   159→      }\n   160→\n   161→      // Skip cache for authenticated endpoints that need fresh data\n   162→      if (req.path.includes('/auth/') || req.path.includes('/me/')) {\n   163→        return next();\n   164→      }\n   165→\n   166→      const cacheKey = this.generateApiKey(req.path, req.query);\n   167→      \n   168→      try {\n   169→        const cached = await this.get(cacheKey);\n   170→        if (cached) {\n   171→          console.log(`✅ Cache hit: ${cacheKey}`);\n   172→          return res.json(cached);\n   173→        }\n   174→      } catch (error) {\n   175→        console.error('Cache middleware error:', error);\n   176→      }\n   177→\n   178→      // Store original send function\n   179→      const originalSend = res.json;\n   180→      res.json = async (data) => {\n   181→        // Cache the response\n   182→        try {\n   183→          await this.set(cacheKey, data, ttl);\n   184→        } catch (error) {\n   185→          console.error('Cache set in middleware error:', error);\n   186→        }\n   187→        \n   188→        // Call original send\n   189→        return originalSend.call(res, data);\n   190→      };\n   191→\n   192→      next();\n   193→    };\n   194→  }\n   195→\n   196→  /**\n   197→   * Invalidate cache for specific endpoint patterns\n   198→   * @param {string} endpointPattern - Endpoint pattern to invalidate\n   199→   * @returns {Promise<void>}\n   200→   */\n   201→  async invalidateEndpoint(endpointPattern) {\n   202→    const pattern = `api:${endpointPattern}*`;\n   203→    await this.delPattern(pattern);\n   204→  }\n   205→}\n   206→\n   207→// Create singleton instance\n   208→const cacheService = new CacheService();\n   209→\n   210→module.exports = cacheService;\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"f98d556e-112f-4e6f-8fdd-0fa9a6320725","timestamp":"2026-02-07T05:55:08.023Z","sourceToolAssistantUUID":"c8e44858-922b-41fa-9bd2-32be461f899e"}
{"parentUuid":"f98d556e-112f-4e6f-8fdd-0fa9a6320725","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"6138a2b4-4fed-4a8e-841b-ea0e29be8b8c","version":"2.1.34","gitBranch":"main","agentId":"ab5ae5d","slug":"lovely-tumbling-taco","message":{"model":"claude-opus-4-6","id":"msg_01Mm7id4AuPzXryDjy5Hw3dL","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have read all 44 files. Let me compile the comprehensive audit report.\n\n---\n\n# COMPREHENSIVE SERVICES AUDIT REPORT\n## `/home/ccuser/rateright-growth/src/services/`\n### 44 Files Audited\n\n---\n\n## CRITICAL FINDINGS SUMMARY\n\nBefore diving into per-file details, here are the highest-severity issues across the entire codebase:\n\n**SECURITY - CRITICAL:**\n1. **deepgram.js line 47**: `getClientConfig()` exposes `DEEPGRAM_API_KEY` directly to the client. The comment on line 54 says \"NEVER expose this to the client\" but the function does exactly that.\n2. **taskExecutor.js lines 141, 209, 256, 318**: SQL injection via `.ilike` with unsanitized user input from voice commands (e.g., `.or(\\`first_name.ilike.%${name}%\\`)`). The `name` variable comes from parsed voice transcripts.\n3. **twilioMediaSetup.js line 21**: Logs ALL request headers including potentially sensitive auth headers with `JSON.stringify(request.headers)`.\n4. **enrichment.js line 167**: API key stored as `api_key_encrypted` but comment says \"In production, decrypt this\" -- it is used raw, never decrypted.\n\n**BUGS - CRITICAL:**\n1. **promptManagement.js lines 167, 203**: Uses `db.raw()` which does NOT exist on the Supabase JS client. These calls silently fail due to `.catch(() => {})`, meaning usage counts and success/fail counts are never incremented.\n2. **leaderboardService.js line 499**: `getTodaysCallCount()` does NOT filter by userId -- it counts ALL users' calls, making daily leaderboard call counts wrong.\n3. **callAnalytics.js line 253**: `callerTotal` is initialized but never incremented -- dead variable. Line 275: `agentTotal++` increments for ALL questions regardless of speaker.\n4. **weeklyIntelligence.js line 9**: `new OpenAI({ apiKey: process.env.OPENAI_API_KEY })` at module level without checking if the key exists. Will crash at import time if OpenAI package is installed but key is missing.\n5. **enrichment.js line 81**: Uses `db.raw('credits_used_this_month + ?', [credits])` -- Supabase JS does NOT support `.raw()`. Credit consumption silently fails.\n\n---\n\n## PER-FILE AUDIT\n\n---\n\n### 1. `/home/ccuser/rateright-growth/src/services/challengesServiceV2.js` (367 lines)\n\n**Exports:** `createChallenge`, `joinChallenge`, `getActiveChallenges`, `getChallengeDetails`, `updateChallengeScores`, `completeChallenge`, `cancelChallenge`, `processExpiredChallenges`\n\n**Bug Risks:**\n- **Line 293**: `.catch(() => {})` silently swallows XP award errors. If XP awards fail, participants never know.\n- **Line 296**: Dynamic `require('./duelsService')` inside function body. This creates a hidden circular dependency risk.\n- **Lines 194-235**: `updateChallengeScores` does sequential per-participant DB queries in a `for` loop. No batching, no parallelism. N+1 query problem.\n\n**Error Handling:** Errors caught at top level but XP/celebration errors silently swallowed (line 293).\n\n**Dead Code:** None found.\n\n**Security:** No direct injection risks. Uses Supabase parameterized queries.\n\n**External APIs:** OpenAI indirectly via duelsService.\n\n**Database Tables:** `manager_challenges`, `user_xp`, `celebration_events`\n\n---\n\n### 2. `/home/ccuser/rateright-growth/src/services/aiCallScoring.js` (441 lines)\n\n**Exports:** `scoreCall`, `getCallScore`, `getUserScores`, `getBestCalls`, `getCallsNeedingCoaching`, `getUserScoreStats`, `getScoreLeaderboard`\n\n**Bug Risks:**\n- **Line 137**: Truncates transcript at 8000 chars with `transcript.substring(0, 8000)`. Could miss critical context at end of long calls.\n- Heuristic fallback scoring (lines 230-305) when OpenAI is unavailable uses simplistic keyword counting. Results may be misleading.\n\n**Error Handling:** Good -- returns `{ error }` objects rather than throwing. Fallback scoring when AI unavailable.\n\n**Dead Code:** None found.\n\n**Security:** No issues. Uses parameterized Supabase queries.\n\n**External APIs:** OpenAI GPT-4o for call scoring.\n\n**Database Tables:** `call_quality_scores`, `communications`, `copilot_sessions`, `user_xp`\n\n---\n\n### 3. `/home/ccuser/rateright-growth/src/services/activationAI.js` (469 lines)\n\n**Exports:** `analyzeBlockers`, `generateNudge`, `generateBulkNudges`, `suggestAction`, `analyzeStageDropoff`\n\n**Bug Risks:**\n- **Line 185**: `generateBulkNudges` processes leads sequentially in a for loop. No parallelism, no batching. Could be very slow for large lead sets.\n\n**Error Handling:** Good -- returns fallback templates when AI fails.\n\n**Dead Code:** None found.\n\n**Security:** No issues. Pure AI prompt service, no DB queries.\n\n**External APIs:** OpenAI GPT-4o-mini for nudge generation.\n\n**Database Tables:** None directly (receives data as parameters).\n\n---\n\n### 4. `/home/ccuser/rateright-growth/src/services/challengesService.js` (429 lines)\n\n**Exports:** `INDIVIDUAL_CHALLENGES`, `TEAM_CHALLENGES`, `generateDailyChallenges`, `generateTeamChallenge`, `updateChallengeProgress`, `getTodayChallenges`, `updateTeamChallengeProgress`\n\n**Bug Risks:**\n- **Lines 189-235**: Challenge matching based on title string matching (`title.includes('Make')`, `title.includes('Send')`, etc.). Extremely fragile -- renaming a challenge title breaks progress tracking silently.\n- **Lines 260, 398**: Dynamic `require('./xpService')` inside function body inside loop iterations.\n- **Lines 90-96, 145-155**: Handles duplicate key errors (23505) -- good practice for concurrent inserts.\n\n**Error Handling:** Catches 23505 duplicate key errors properly. Other errors logged but not propagated.\n\n**Dead Code:** None found.\n\n**Security:** No injection risks.\n\n**External APIs:** None.\n\n**Database Tables:** `daily_challenges`, `team_challenges`, `user_xp`, `celebration_events`\n\n---\n\n### 5. `/home/ccuser/rateright-growth/src/services/badgesService.js` (353 lines)\n\n**Exports:** `awardWeeklyBadges`, `getUserBadges`, `getCurrentWeekBadges`, `userHasBadge`, `getWeekStart`\n\n**Bug Risks:**\n- **Lines 28-71**: N+1 query pattern -- fires one query per user for call stats inside a loop.\n- **Line 103**: \"Consistent\" badge logic only awards the FIRST qualifying user via `topCaller`, not all qualifying users. If multiple users qualify, only one gets the badge.\n- **Line 254**: Dynamic `require('./slack')` inside function.\n\n**Error Handling:** Errors logged, function continues processing other badges.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** Slack (via slack service).\n\n**Database Tables:** `user_badges`, `communications`, `user_xp`\n\n---\n\n### 6. `/home/ccuser/rateright-growth/src/services/callListRanker.js` (558 lines)\n\n**Exports:** `computeLeadPriority`, `rankLeadsForCallList`, `buildRankingContext`, `refreshLeadPriority`, `computeUrgencyScore`, `computeIntentScore`, `computeTimingScore`, `computePatternScore`, `computeBaseScore`\n\n**Bug Risks:**\n- 5-minute in-memory cache (line 15) works well for single-instance deployments but would cause inconsistency in multi-instance scenarios.\n\n**Error Handling:** Good -- uses try/catch throughout with console.error logging.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `leads`, `callbacks`, `winning_patterns`, `conversion_patterns`\n\n---\n\n### 7. `/home/ccuser/rateright-growth/src/services/callAnalytics.js` (802 lines)\n\n**Exports:** `analyzeCall`, `getCallAnalytics`, `getLeadCallAnalytics`, `getQualityTrends`, `getCoachingAlerts`, `reviewCoachingAlert`, `getQualityLeaderboard`\n\n**Bug Risks:**\n- **Line 253**: `callerTotal` is initialized to 0 but NEVER incremented anywhere. Dead variable.\n- **Line 275**: `agentTotal++` increments for ALL questions, regardless of which speaker asked them. The code assumes all questions are from the agent, making the \"questions asked by agent\" metric incorrect.\n```javascript\n// Line 275\nagentTotal++; // BUG: increments for ALL questions, not just agent questions\n```\n\n**Error Handling:** Adequate. Returns default values on error.\n\n**Dead Code:** `callerTotal` variable (line 253) -- never used after initialization.\n\n**Security:** No issues.\n\n**External APIs:** None (pure analytics on local data).\n\n**Database Tables:** `communications`, `coaching_alerts`, `call_quality_scores`\n\n---\n\n### 8. `/home/ccuser/rateright-growth/src/services/promptManagement.js` (373 lines)\n\n**Exports:** `DEFAULT_PROMPTS`, `getActivePrompt`, `fillTemplate`, `recordPromptOutcome`, `getPromptPerformance`, `createPromptVersion`, `activatePromptVersion`, `getAllPromptStatus`\n\n**Bug Risks:**\n- **Line 167**: `db.raw('usage_count + 1')` -- Supabase JS client does NOT support `.raw()`. This silently fails because of `.catch(() => {})` on line 172. Usage counts are NEVER incremented.\n```javascript\n// Line 167\n.update({ usage_count: db.raw('usage_count + 1') }) // BUG: .raw() doesn't exist on Supabase\n```\n- **Line 203**: Same issue: `db.raw(\\`${updateField} + 1\\`)` -- success/fail counts never increment.\n- **Lines 309-321**: `activatePromptVersion` does deactivate-then-activate in two separate queries. Not atomic -- if the process crashes between them, all versions of that prompt type could be deactivated.\n\n**Error Handling:** Errors silently swallowed with `.catch(() => {})` on lines 172 and 210. This masks the `.raw()` bug.\n\n**Dead Code:** None found (but the usage tracking is effectively dead due to the bug).\n\n**Security:** No injection risks.\n\n**External APIs:** None.\n\n**Database Tables:** `prompt_versions`\n\n---\n\n### 9. `/home/ccuser/rateright-growth/src/services/learning.js` (470 lines)\n\n**Exports:** `captureConversionPattern`, `recordSuggestionFeedback`, `getEffectiveResponses`, `getSimilarWins`\n\n**Bug Risks:** None significant. Uses `Promise.allSettled` correctly (line 27).\n\n**Error Handling:** Good -- individual query failures don't crash the whole function.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `leads`, `communications`, `copilot_sessions`, `lead_notes`, `conversion_patterns`, `objection_responses`, `suggestion_feedback`\n\n---\n\n### 10. `/home/ccuser/rateright-growth/src/services/duelsService.js` (610 lines)\n\n**Exports:** `DUEL_TYPES`, `calculateOdds`, `createDuel`, `acceptDuel`, `declineDuel`, `getUserDuels`, `getUserDuelHistory`, `updateDuelScores`, `completeDuel`, `createCelebrationEvent`, `getRecentCelebrations`, `processExpiredDuels`\n\n**Bug Risks:**\n- **Lines 493-530**: `updateDuelHistory` is a classic read-then-write race condition. It reads `duel_history` JSON array from the DB, pushes a new entry, and writes it back. Concurrent writes will lose data.\n- **Lines 162-201**: `createDuel` checks for existing active duels then inserts -- TOCTOU (time-of-check-time-of-use) vulnerability. Two concurrent requests could both pass the check and create duplicate duels.\n\n**Error Handling:** Good overall. Uses try/catch with error returns.\n\n**Dead Code:**\n- **Line 39**: `MAX_DAILY_LOSS_PERCENT` constant is defined but never referenced anywhere in the file.\n\n**Security:** No injection risks.\n\n**External APIs:** None.\n\n**Database Tables:** `duels`, `user_xp`, `xp_history`, `celebration_events`\n\n---\n\n### 11. `/home/ccuser/rateright-growth/src/services/dealIntelligence.js` (602 lines)\n\n**Exports:** `recordStageTransition`, `recordDealOutcome`, `analyzeObjectionImpact`, `findWinningResponses`, `getDealVelocity`, `predictStall`, `getLossReasons`, `getLossReasonOptions`, `getDealsAtRisk`\n\n**Bug Risks:**\n- **Line 158**: `updateObjectionOutcomes` updates ALL `objection_responses` matching the objection type, not just responses used for this specific lead. This inflates effectiveness scores for popular objection types.\n- **Line 566**: N+1 query in `getDealsAtRisk` -- calls `predictStall()` per lead (up to 50 leads), each of which does its own DB queries.\n\n**Error Handling:** Adequate. Returns empty arrays on error.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `stage_transitions`, `deal_outcomes`, `objection_responses`, `leads`, `communications`\n\n---\n\n### 12. `/home/ccuser/rateright-growth/src/services/selfImprovement.js` (434 lines)\n\n**Exports:** `getThresholds`, `saveThresholds`, `analyzeSuggestionPerformance`, `analyzeFrictionAccuracy`, `autoAdjustThresholds`, `learnFromSuccess`, `generateSelfImprovementReport`, `DEFAULT_THRESHOLDS`\n\n**Bug Risks:** None significant. Well-structured with proper bounds checking on threshold adjustments.\n\n**Error Handling:** Good. Falls back to `DEFAULT_THRESHOLDS` when DB unavailable.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** Slack (for threshold change notifications).\n\n**Database Tables:** `system_settings`, `intelligence_suggestions`, `detected_friction`, `intelligence_adjustments`\n\n---\n\n### 13. `/home/ccuser/rateright-growth/src/services/platformSync.js` (550 lines)\n\n**Exports:** `platformRequest`, `fetchPlatformUsers`, `fetchPlatformStats`, `fetchPlatformJobs`, `fetchPlatformContracts`, `syncPlatformUser`, `syncAllPlatformUsers`, `checkPlatformConnection`, `findExistingLead`, `getLeadType`, `getUserJobs`, `getUserContracts`\n\n**Bug Risks:**\n- **Line 461**: `syncAllPlatformUsers` processes users sequentially in a for loop. No batching, no parallelism. Could take a very long time for large user bases.\n\n**Error Handling:** Good -- individual user sync failures don't stop the batch.\n\n**Dead Code:** None found.\n\n**Security:** API key passed via `X-API-Key` header (line 30). Key comes from env var `RATERIGHT_API_KEY`.\n\n**External APIs:** RateRight Admin API with 30s timeout.\n\n**Database Tables:** `leads`, `platform_activity`\n\n---\n\n### 14. `/home/ccuser/rateright-growth/src/services/perplexity.js` (713 lines)\n\n**Exports:** `searchCompany`, `searchPerson`, `searchDecisionMaker`, `searchInterestNews`, `getCachedCompanyIntel`, `getCachedLeadIntel`, `normalizeCompanyName`, `autoResearchFromTranscript`\n\n**Bug Risks:** None significant.\n\n**Error Handling:** Good -- returns null/empty on failure, logs errors.\n\n**Dead Code:** None found.\n\n**Security/Privacy:**\n- `searchPerson` scrapes personal information (family status, hobbies, social profiles). While this is a business feature, it collects sensitive personal data via web search.\n\n**External APIs:** Perplexity AI (sonar model) with 45s timeout.\n\n**Database Tables:** `company_intel`, `lead_intel` (30-day cache).\n\n---\n\n### 15. `/home/ccuser/rateright-growth/src/services/repPerformance.js` (587 lines)\n\n**Exports:** `generateWeeklyRepReport`, `aggregateRepWeeklyStats`, `analyzeRepPerformance`, `scoreCall`, `saveCallScore`, `saveWeeklySnapshot`, `getAllReps`, `formatDuration`, `formatHour`\n\n**Bug Risks:** None significant.\n\n**Error Handling:** Good. Returns structured error objects.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** OpenAI for performance analysis.\n\n**Database Tables:** `user_xp`, `communications`, `leads`, `call_quality_scores`, `rep_weekly_snapshots`\n\n---\n\n### 16. `/home/ccuser/rateright-growth/src/services/compliance.js` (578 lines)\n\n**Exports:** `getGuidelines`, `clearGuidelinesCache`, `checkCompliance`, `autoFixMessage`, `validateScript`, `batchValidate`, `addToReviewQueue`, `checkToneWithAI`\n\n**Bug Risks:**\n- **Line 535**: `checkToneWithAI` lazy-loads `ai.js` to avoid circular dependency. This works but is fragile.\n\n**Error Handling:** Good. 2-hour cache with proper invalidation.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** OpenAI (via ai.js) for tone checking.\n\n**Database Tables:** `brand_guidelines`, `compliance_review_queue`\n\n---\n\n### 17. `/home/ccuser/rateright-growth/src/services/openai.js` (70 lines)\n\n**Exports:** `generateChatCompletion`, `isConfigured`\n\n**Bug Risks:** None. Clean, minimal wrapper.\n\n**Error Handling:** Good. Checks for API key before making calls.\n\n**Dead Code:** None.\n\n**Security:** No issues. API key used server-side only.\n\n**External APIs:** OpenAI.\n\n**Database Tables:** None.\n\n---\n\n### 18. `/home/ccuser/rateright-growth/src/services/criticalAlerts.js` (536 lines)\n\n**Exports:** `processEventForAlerts`, `checkRageClicks`, `checkErrorSpike`, `checkAbandonmentSpike`, `checkApiFailures`, `checkSmsDeliveryFailures`, `checkSlowApiResponses`, `runFullAlertCheck`, `sendCriticalAlert`, `THRESHOLDS`\n\n**Bug Risks:**\n- **Line 34**: `setInterval` at module level (60-second cleanup interval). This:\n  - Runs even in test environments\n  - Prevents clean process shutdown (no `clearInterval` exported or called)\n  - Could cause memory leaks in long-running processes if the module is loaded/unloaded multiple times.\n```javascript\n// Line 34\nsetInterval(() => { /* cleanup stale entries */ }, 60 * 1000);\n```\n- Duplicate cleanup logic: `shouldSendAlert` (line 62) AND the setInterval both clean stale entries from `recentAlerts`.\n\n**Error Handling:** Good. Individual alert checks wrapped in try/catch.\n\n**Dead Code:** The duplicate cleanup in the setInterval is redundant with the cleanup in `shouldSendAlert`.\n\n**Security:** No issues.\n\n**External APIs:** Slack (via slack service).\n\n**Database Tables:** `usage_events`, `intelligence_alerts`\n\n---\n\n### 19. `/home/ccuser/rateright-growth/src/services/leaderboardService.js` (531 lines)\n\n**Exports:** `RECORD_TYPES`, `WEEKLY_BADGES`, `STREAK_TIERS`, `getLeaderboard`, `checkOvertake`, `checkRecord`, `getHallOfFame`, `createPulseEvent`, `getTeamPulse`, `updateStreakTier`, `saveLeaderboardSnapshot`, `getTodaysCallCount`, `formatRecordName`\n\n**Bug Risks:**\n- **Line 499**: `getTodaysCallCount()` does NOT filter by userId. It counts ALL users' calls for today:\n```javascript\n// Line 499-509\nasync function getTodaysCallCount() {\n  const { count } = await db\n    .from('communications')\n    .select('*', { count: 'exact', head: true })\n    .eq('type', 'call_outbound')\n    .gte('created_at', todayStr);\n  return count || 0;\n  // BUG: No .eq('user_id', userId) filter!\n}\n```\n\n**Error Handling:** Good overall.\n\n**Dead Code:** None found.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `user_xp`, `communications`, `leaderboard_records`, `team_pulse`, `leaderboard_snapshots`\n\n---\n\n### 20. `/home/ccuser/rateright-growth/src/services/deepgram.js` (86 lines)\n\n**Exports:** `isConfigured`, `getClientConfig`, `getApiKey`, `getAuthenticatedWSUrl`\n\n**Bug Risks:** None structurally.\n\n**Error Handling:** Good -- returns `{ configured: false, error: ... }` when key missing.\n\n**Dead Code:** None.\n\n**Security - CRITICAL:**\n- **Line 47**: `getClientConfig()` returns `DEEPGRAM_API_KEY` to the client:\n```javascript\n// Line 47\nreturn {\n  configured: true,\n  apiKey: process.env.DEEPGRAM_API_KEY, // SECURITY: Exposes API key to client!\n};\n```\n- **Line 54** comment: \"NEVER expose this to the client\" -- but `getClientConfig()` does exactly that. `getApiKey()` (line 61) has the warning comment, but both functions expose the same key.\n\n**External APIs:** Deepgram (configuration only).\n\n**Database Tables:** None.\n\n---\n\n### 21. `/home/ccuser/rateright-growth/src/services/scoring.js` (278 lines)\n\n**Exports:** `calculateLeadScore`, `updateLeadScore`, `recalculateAllScores`, `getScoreTier`, `SCORE_RULES`\n\n**Bug Risks:**\n- **Line 246**: `recalculateAllScores` processes leads sequentially. Could be very slow for large datasets.\n\n**Error Handling:** Good. Returns structured results.\n\n**Dead Code:** None.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `leads`, `communications`, `platform_activity`\n\n---\n\n### 22. `/home/ccuser/rateright-growth/src/services/pushNotifications.js` (306 lines)\n\n**Exports:** `sendPushNotification`, `broadcastPush`, `isQuietHours`, `notifyHighIntentSms`, `notifyNewSignup`, `notifyCallbackDue`, `notifyConversion`\n\n**Bug Risks:** None significant. Properly handles expired subscriptions (410/404).\n\n**Error Handling:** Good -- handles expired push subscriptions by deleting stale records.\n\n**Dead Code:** None.\n\n**Security:** VAPID configuration at module level uses env vars properly.\n\n**External APIs:** Web Push API.\n\n**Database Tables:** `push_subscriptions`\n\n---\n\n### 23. `/home/ccuser/rateright-growth/src/services/weeklyIntelligence.js` (506 lines)\n\n**Exports:** `runWeeklyAnalysis`, `getLatestReport`, `getPageStats`, `getFlowStats`, `getErrorStats`, `getAIQualityStats`\n\n**Bug Risks:**\n- **Line 9**: `const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY })` -- Creates client at module load without checking if API key exists. Unlike other files that guard with `if (process.env.OPENAI_API_KEY)`, this will crash at module import time if the OpenAI package is installed but the key is missing.\n- **Line 71**: `getWeekStart()` mutates the `now` Date object via `now.setDate(diff)`. This is a side-effect bug -- if the caller reuses the Date, it will have been mutated.\n\n**Error Handling:** Adequate. Returns empty result sets on error.\n\n**Dead Code:** None.\n\n**Security:** No issues.\n\n**External APIs:** OpenAI GPT-4o.\n\n**Database Tables:** `usage_events`, `suggestion_feedback`, `weekly_excellence_reports`, `intelligence_suggestions`, `detected_friction`\n\n---\n\n### 24. `/home/ccuser/rateright-growth/src/services/twilioMedia.js` (365 lines)\n\n**Exports:** `handleTwilioMediaStream`, `subscribeToTranscripts`, `activeStreams`\n\n**Bug Risks:**\n- **Line 16**: `activeStreams` Map entries may not be cleaned up if WebSocket disconnects abnormally without a 'stop' event. The `ws.on('close')` handler (line 148) does attempt cleanup, but if `callSid` was never set (e.g., connection closed before 'start' event), the stream is leaked.\n- **Line 116**: `mixAndSendAudio` is called on every 'media' event, which creates CPU overhead even when only one track has data.\n\n**Error Handling:** Good -- try/catch around message processing.\n\n**Dead Code:** None.\n\n**Security:** Deepgram API key used server-side only (in WebSocket auth header).\n\n**External APIs:** Deepgram (real-time transcription via WebSocket).\n\n**Database Tables:** `copilot_sessions` (for saving transcripts).\n\n---\n\n### 25. `/home/ccuser/rateright-growth/src/services/twilioMediaSetup.js` (34 lines)\n\n**Exports:** `setupTwilioMediaStreams`\n\n**Bug Risks:** None.\n\n**Error Handling:** Minimal but adequate for a setup file.\n\n**Dead Code:** None.\n\n**Security:**\n- **Line 21**: Logs ALL request headers:\n```javascript\nconsole.log('[TwilioMedia] Headers:', JSON.stringify(request.headers, null, 2));\n```\nThis could log sensitive authentication headers to stdout/log files.\n\n**External APIs:** None directly.\n\n**Database Tables:** None.\n\n---\n\n### 26. `/home/ccuser/rateright-growth/src/services/templates.js` (97 lines)\n\n**Exports:** `getTemplate`, `getAllTemplates`, `renderTemplate`, `buildLeadVariables`\n\n**Bug Risks:** None. Clean, simple service.\n\n**Error Handling:** Good. Returns null/empty on failure.\n\n**Dead Code:** None.\n\n**Security:**\n- **Line 69**: Removes unmatched template variables: `rendered.replace(/\\{\\{\\s*\\w+\\s*\\}\\}/g, '')`. This is good -- prevents leaking variable names to users.\n\n**External APIs:** None.\n\n**Database Tables:** `sms_templates`\n\n---\n\n### 27. `/home/ccuser/rateright-growth/src/services/slack.js` (1143 lines)\n\n**Exports:** `sendSlackMessage`, `sendInboundAlert`, `sendInboundCallAlert`, `sendMissedCallAlert`, `sendVoicemailAlert`, `sendCallbackReminder`, `sendDailySummary`, `sendConversionAlert`, `sendWeeklyReport`, `sendBugReport`, `sendContractorReferralAlert`, `sendWebsiteSignupAlert`, `sendDevQueueItem`, `sendDevQueueReady`, `isConfigured`\n\n**Bug Risks:**\n- Rate limiting at 1 message/second (line 9). If many events fire simultaneously, messages queue up and delays compound.\n\n**Error Handling:** Good. Returns success/failure status. Handles rate limiting.\n\n**Dead Code:** None found (large file but all functions appear used).\n\n**Security:** Uses `SLACK_WEBHOOK_URL` from env vars. No secret exposure.\n\n**External APIs:** Slack Incoming Webhooks.\n\n**Database Tables:** None directly (receives data as parameters).\n\n---\n\n### 28. `/home/ccuser/rateright-growth/src/services/xpService.js` (210 lines)\n\n**Exports:** `XP_AWARDS`, `LEVEL_NAMES`, `calculateLevel`, `awardXP`, `awardXPForCall`, `awardXPForSMS`\n\n**Bug Risks:**\n- **Lines 65-118**: Classic read-then-update race condition on `user_xp` table. `awardXP` reads current XP, adds award amount, writes back. Concurrent XP awards will lose data:\n```javascript\n// Line 65-80 (simplified)\nconst { data: existing } = await db.from('user_xp').select('total_xp, ...').eq('user_id', userId);\nconst newTotal = (existing.total_xp || 0) + amount;\nawait db.from('user_xp').update({ total_xp: newTotal }).eq('user_id', userId);\n// BUG: If two awards happen concurrently, one is lost\n```\n\n**Error Handling:** Good. Returns structured results with success flag.\n\n**Dead Code:** None.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `user_xp`, `xp_history`\n\n---\n\n### 29. `/home/ccuser/rateright-growth/src/services/wisdom.js` (489 lines)\n\n**Exports:** `getWisdom`, `rateWisdom`, `analyzeContext`, `determineTrigger`\n\n**Bug Risks:**\n- **Line 395**: Calls `saveWisdomToDb` but there's also a `saveWisdom` function (line 312) that does similar work. Potential confusion, though both are called in different paths.\n- In-memory `wisdomCache` Map (line 19) grows unbounded. No maximum size or eviction policy beyond TTL checks.\n\n**Error Handling:** Good. Multiple fallback paths (AI -> curated DB -> hardcoded fallback).\n\n**Dead Code:**\n- **Lines 312-325**: `saveWisdom` function is defined but never called (replaced by `saveWisdomToDb` on line 395). Dead code.\n\n**Security:** No issues.\n\n**External APIs:** OpenAI GPT-4o-mini.\n\n**Database Tables:** `wisdom`, `wisdom_shown`\n\n---\n\n### 30. `/home/ccuser/rateright-growth/src/services/stageDiagnosis.js` (433 lines)\n\n**Exports:** `diagnose`, `detectPattern`, `getStageProgress`, `getStageContext`, `getStagesForType`, `getLikelyBlocker`, `getRecommendedAction`, `generateSMSTemplate`, `WORKER_STAGES`, `CONTRACTOR_STAGES`, `STAGE_LABELS`, `STAGE_BLOCKERS`, `STAGE_ACTIONS`\n\n**Bug Risks:** None significant. Well-structured service with clear pattern detection logic.\n\n**Error Handling:** Good. Returns fallback scripts when AI fails.\n\n**Dead Code:** None.\n\n**Security:** No issues.\n\n**External APIs:** OpenAI (via openai.js wrapper) for script generation.\n\n**Database Tables:** None directly.\n\n---\n\n### 31. `/home/ccuser/rateright-growth/src/services/stageCalculator.js` (433 lines)\n\n**Exports:** `calculateWorkerStage`, `calculateContractorStage`, `calculateHealthScore`, `getStageIndex`, `hasStageProgressed`, `getStagesForType`, `getStageLabel`, `logStageTransition`, `handleSequenceAutoEnrollment`, `calculateDaysInStage`, `isStuck`, `diagnoseStuckReason`, `WORKER_STAGES`, `CONTRACTOR_STAGES`, `STAGE_LABELS`\n\n**Bug Risks:**\n- **Lines 227-353**: `handleSequenceAutoEnrollment` makes 5-6 sequential DB queries. Not a bug per se, but slow under load.\n- **Line 299**: `.or(\\`status.eq.active,enrolled_at.gte.${thirtyDaysAgo.toISOString()}\\`)` -- Supabase `.or()` with template literals. While the Date ISO string is safe, this pattern is fragile if user-controlled data were ever passed.\n\n**Error Handling:** Good. Individual failures logged but don't stop processing.\n\n**Dead Code:** None.\n\n**Security:** No injection risks (ISO date strings are safe).\n\n**External APIs:** None.\n\n**Database Tables:** `leads`, `stage_transitions`, `sequence_enrollments`, `sequences`, `sequence_steps`\n\n---\n\n### 32. `/home/ccuser/rateright-growth/src/services/twimlWithStream.js` (70 lines)\n\n**Exports:** `generateTwiMLWithStream`\n\n**Bug Risks:**\n- **Line 27**: Uses `req.headers.host` to construct WebSocket URL. If behind a proxy without proper `X-Forwarded-Host` handling, this could produce incorrect URLs.\n\n**Error Handling:** Minimal -- no try/catch. If Twilio SDK throws, the error propagates unhandled.\n\n**Dead Code:** None.\n\n**Security:** No direct issues. Request parameters used in TwiML generation are not user-injectable in a dangerous way.\n\n**External APIs:** Twilio (TwiML generation).\n\n**Database Tables:** None.\n\n---\n\n### 33. `/home/ccuser/rateright-growth/src/services/qualityAudit.js` (1134 lines)\n\n**Exports:** `runFullAudit`, `runAPITests`, `runExternalServiceTests`, `runCriticalTests`, `runBusinessMetricTests`, `runSyntheticJourneyTests`, `runFrontendTests`, `formatSlackReport`, `formatTextReport`, `AUDIT_CATEGORIES`, `SEVERITY_MAP`\n\n**Bug Risks:**\n- **Lines 62-71**: Audit tests run sequentially (each category `await`'d). Could be parallelized for faster audit runs.\n- **Line 305**: `require('./deepgram')` called inside test function. If deepgram module has side effects, this could cause issues in test environments.\n\n**Error Handling:** Excellent. Each test is wrapped in `runTest` which catches all errors and reports them as test failures.\n\n**Dead Code:** None.\n\n**Security:** No issues. Tests read data but don't modify anything critical.\n\n**External APIs:** Tests connectivity to Twilio, OpenAI, Deepgram, Supabase Realtime, and Slack.\n\n**Database Tables:** Reads from many tables: `leads`, `communications`, `user_xp`, `sequences`, `callbacks`, `copilot_sessions`, `ai_insights`, `conversion_patterns`, `objection_responses`, `lead_intel`, `winning_patterns`, `sms_templates`, `web_vitals`, `frontend_errors`, `speed_to_lead`, `lead_dossier`, `playbook_messages`, `sequence_enrollments`, `duels`, `manager_challenges`, `webhook_endpoints`\n\n---\n\n### 34. `/home/ccuser/rateright-growth/src/services/ai.js` (2306 lines)\n\n**Exports:** `generateIntelBrief`, `generatePostCallSummary`, `draftMessage`, `transcribeAudio`, `parseVoiceCommand`, `getObjectionResponse`, `calculateConversionProbability`, `generateWeeklyInsights`, `cleanupNotes`, `findSimilarWins`, `extractTranscriptIntel`, `extractPersonalIntelFromConversations`, `saveExtractedIntel`, `extractAndSaveCallIntel`, `parseContactFromSMS`, `generateReEngagedInsight`, `extractLeadCorrections`, `recommendScriptForLead`, `extractQuickIntel`, `extractInboundIntel`, `findSimilarLeads`, `generatePersonalizedBatch`\n\n**Bug Risks:**\n- **Lines 2167-2192**: `findSimilarLeads` fires N+1 queries. For each candidate lead, it queries `communications` to check last message direction. With `limit * 2` candidates (default 10), that's 10 separate DB queries.\n- **Line 1264**: Transcript content is truncated to first 2000 chars per session (`s.transcript.substring(0, 2000)`). Could miss important intel in longer call transcripts.\n- **Line 1286**: Entire conversation text further truncated to 8000 chars for AI processing.\n\n**Error Handling:** Good throughout. Every AI function checks `if (!openai)` and returns error objects.\n\n**Dead Code:** None found (despite the file being very large, all functions are exported and appear referenced).\n\n**Security:**\n- The `parseVoiceCommand` function handles user voice input, but the downstream functions that use the parsed data (in taskExecutor.js) have SQL injection risks via `.ilike` (see taskExecutor entry).\n\n**External APIs:** OpenAI (GPT-4o, GPT-4o-mini, Whisper).\n\n**Database Tables:** `leads`, `communications`, `copilot_sessions`, `lead_notes`, `lead_intel`, `company_intel`, `scripts`\n\n---\n\n### 35. `/home/ccuser/rateright-growth/src/services/notifications.js` (95 lines)\n\n**Exports:** `notifyTaskComplete`\n\n**Bug Risks:**\n- **Line 9**: Falls back to `TWILIO_PHONE_NUMBER` if `MICHAEL_PHONE` is not set. This would send notification SMS FROM the Twilio number TO the same Twilio number, which would fail or loop.\n\n**Error Handling:** Good. Catches and logs errors.\n\n**Dead Code:**\n- **Lines 86-91**: `notifyViaCall` function is defined but only called as a fallback for SMS. The TODO comment indicates this is incomplete.\n\n**Security:** No issues.\n\n**External APIs:** Twilio (via twilio service) for SMS.\n\n**Database Tables:** `vapi_tasks`\n\n---\n\n### 36. `/home/ccuser/rateright-growth/src/services/taskExecutor.js` (461 lines)\n\n**Exports:** `executeTask`\n\n**Bug Risks:** None structurally. Well-organized switch/case pattern.\n\n**Error Handling:** Good. Updates task status on both success and failure.\n\n**Dead Code:** None.\n\n**Security - HIGH:**\n- **Lines 141, 209, 256, 318**: User-provided `name` from parsed voice commands is interpolated directly into Supabase `.or()` queries:\n```javascript\n// Line 141\n.or(`first_name.ilike.%${name}%,last_name.ilike.%${name}%`)\n```\nWhile Supabase's PostgREST does escape values to some degree, this pattern is unsafe. A crafted `name` value could potentially manipulate the query logic. The `name` comes from `task.task_params` which originates from voice transcript parsing -- user-controlled input.\n\n**External APIs:** Twilio (via twilio service).\n\n**Database Tables:** `vapi_tasks`, `leads`, `callbacks`, `communications`, `dev_queue`\n\n---\n\n### 37. `/home/ccuser/rateright-growth/src/services/taskParser.js` (207 lines)\n\n**Exports:** `parseTaskFromTranscript`\n\n**Bug Risks:**\n- **Line 7**: `const { extractJson } = require('../services/ai')` -- imports a function `extractJson` that does NOT exist in `ai.js`'s exports. This will be `undefined` at runtime, and the `aiParseTask` fallback (line 177: `const parsed = extractJson(response)`) will throw a TypeError.\n\n**Error Handling:** Catches AI parse errors and falls back to custom task type.\n\n**Dead Code:** None.\n\n**Security:** Voice transcript input is passed to regex patterns. No injection risk in the regex itself.\n\n**External APIs:** OpenAI (via direct SDK instantiation in `aiParseTask`).\n\n**Database Tables:** None directly.\n\n---\n\n### 38. `/home/ccuser/rateright-growth/src/services/exportService.js` (259 lines)\n\n**Exports:** `exportLeadsToCSV`, `exportLeadsToJSON`, `exportCommunicationsToCSV`, `exportAnalyticsToCSV`\n\n**Bug Risks:**\n- **Line 55**: Hard limit of 10,000 rows via `.limit(10000)`. No pagination support for larger datasets. Users may not realize exports are truncated.\n- CSV escaping (lines 70-74) handles commas, quotes, and newlines but does not handle the \"CSV injection\" attack vector where values starting with `=`, `+`, `-`, or `@` could be interpreted as formulas by spreadsheet software.\n\n**Error Handling:** Throws errors directly. Caller must handle.\n\n**Dead Code:** None.\n\n**Security:**\n- CSV injection risk: Lead data (names, companies) could contain formula-like strings that would execute in Excel/Google Sheets when opened.\n\n**External APIs:** None.\n\n**Database Tables:** `leads`, `communications`, `conversions`\n\n---\n\n### 39. `/home/ccuser/rateright-growth/src/services/webhookDelivery.js` (287 lines)\n\n**Exports:** `WEBHOOK_EVENTS`, `deliverWebhook`, `fireWebhooks`, `processPendingRetries`, `signPayload`\n\n**Bug Risks:**\n- **Line 170**: `attemptNum` is calculated as `delivery.attempts + 1` but the actual `attempts` field was already incremented to this value on line 105. This means the retry comparison on line 172 (`attemptNum < retryConfig.max_attempts`) is off by one -- it will retry one fewer time than configured.\n\n**Error Handling:** Good. Proper retry logic with exponential backoff.\n\n**Dead Code:** None.\n\n**Security:** Proper HMAC-SHA256 signature verification for webhook payloads. Good security practice.\n\n**External APIs:** Customer-configured webhook endpoints.\n\n**Database Tables:** `webhook_endpoints`, `webhook_deliveries`\n\n---\n\n### 40. `/home/ccuser/rateright-growth/src/services/enrichment.js` (424 lines)\n\n**Exports:** `getConfig`, `updateConfig`, `hasCredits`, `getCachedEnrichment`, `enrichLead`, `enrichLeadsBulk`, `getUsageStats`, `SOURCES`\n\n**Bug Risks:**\n- **Line 81**: `db.raw('credits_used_this_month + ?', [credits])` -- Supabase JS does NOT support `.raw()`. Credit consumption silently fails, meaning credits are never deducted and the monthly limit is never enforced.\n```javascript\n// Line 81\n.update({\n  credits_used_this_month: db.raw('credits_used_this_month + ?', [credits]), // BUG: .raw() doesn't exist\n  updated_at: new Date().toISOString()\n})\n```\n- **Lines 357-374**: `enrichLeadsBulk` processes leads sequentially. No parallelism.\n\n**Error Handling:** Adequate but the `.raw()` bug means errors are silently produced.\n\n**Dead Code:** None.\n\n**Security:**\n- **Line 167**: Comment says \"In production, decrypt this\" for `api_key_encrypted`, but the code uses it raw:\n```javascript\nconst apiKey = config.api_key_encrypted; // In production, decrypt this\n```\nThe API key is stored in the database but never decrypted before use, meaning either the encryption is not implemented, or the API calls will fail with an encrypted key.\n\n**External APIs:** Apollo.io for lead enrichment.\n\n**Database Tables:** `enrichment_config`, `enrichment_cache`, `enrichment_usage`, `leads`\n\n---\n\n### 41. `/home/ccuser/rateright-growth/src/services/jobLocking.js` (205 lines)\n\n**Exports:** `acquireJobLock`, `releaseJobLock`, `runJobWithLock`, `isJobRunning`, `cleanupExpiredLocks`\n\n**Bug Risks:**\n- **Line 59**: Recursive call to `acquireJobLock` when cleaning up expired locks. If the DB has issues, this could cause infinite recursion (no recursion depth guard).\n- Lock acquisition (lines 23-33) relies on Supabase unique constraint to prevent duplicates. This is correct but depends on the `job_locks` table having a proper unique constraint on `job_name`.\n\n**Error Handling:** Good. Lock is always released on failure (line 128).\n\n**Dead Code:** None.\n\n**Security:** No issues.\n\n**External APIs:** None.\n\n**Database Tables:** `job_locks`\n\n---\n\n### 42. `/home/ccuser/rateright-growth/src/services/twilio.js` (178 lines)\n\n**Exports:** `sendSMS`, `sendBatchSMS`, `validateWebhookSignature`, `isConfigured`, `generateVoiceToken`, `isVoiceConfigured`\n\n**Bug Risks:**\n- **Line 137**: `sendBatchSMS` uses a 100ms delay between messages. This is a fixed delay, not adaptive to Twilio's actual rate limits. Could still hit rate limits for large batches.\n\n**Error Handling:** Good. Returns structured `{ success, error }` objects.\n\n**Dead Code:** None.\n\n**Security:** Proper webhook signature validation via `twilio.validateRequest`. API keys stay server-side.\n\n**External APIs:** Twilio (SMS, Voice tokens).\n\n**Database Tables:** None directly.\n\n---\n\n### 43. `/home/ccuser/rateright-growth/src/services/cache.js` (210 lines)\n\n**Exports:** `cacheService` (singleton instance of `CacheService`)\n\n**Bug Risks:**\n- **Lines 11, 39**: `init()` is called in constructor but is `async`. The constructor returns before `init()` completes. Any immediate cache operations after `require('./cache')` may fail because Redis isn't connected yet.\n- **Line 111**: `delPattern` uses `this.redisClient.keys(pattern)` which is an O(N) operation in Redis. In production with many keys, this will be slow and block the Redis event loop.\n- **Lines 179-190**: Cache middleware overrides `res.json`. This monkey-patching approach can break if other middleware also overrides `res.json`, and doesn't handle errors in the original `json` call.\n\n**Error Handling:** Good -- swallows errors and returns null/undefined gracefully. Falls back to in-memory cache when Redis unavailable.\n\n**Dead Code:** None.\n\n**Security:** No issues. Redis password from env vars.\n\n**External APIs:** Redis.\n\n**Database Tables:** None.\n\n---\n\n### 44. `/home/ccuser/rateright-growth/src/services/twimlWithStream.js` (70 lines)\n\nAlready covered above as item #32.\n\n---\n\n## CROSS-CUTTING ISSUES\n\n### 1. `db.raw()` Usage (Supabase Incompatibility)\nThree files use `db.raw()` which does not exist on the Supabase JS client:\n- **promptManagement.js** lines 167, 203 -- usage/success counts never increment\n- **enrichment.js** line 81 -- credit consumption never works\n\nThese are silent failures because errors are swallowed.\n\n### 2. Read-Then-Write Race Conditions\nMultiple files have non-atomic read-update patterns on shared data:\n- **xpService.js** (lines 65-118) -- XP awards can be lost\n- **duelsService.js** (lines 493-530) -- duel history entries can be lost\n- **promptManagement.js** (lines 309-321) -- prompt activation is non-atomic\n\nAll of these need either atomic increments (Supabase RPC functions) or optimistic concurrency control.\n\n### 3. Sequential Processing in Loops (N+1 Queries)\nMultiple files process items sequentially that could be batched or parallelized:\n- **platformSync.js** `syncAllPlatformUsers` -- sequential per-user sync\n- **activationAI.js** `generateBulkNudges` -- sequential per-lead\n- **scoring.js** `recalculateAllScores` -- sequential per-lead\n- **enrichment.js** `enrichLeadsBulk` -- sequential per-lead\n- **badgesService.js** `awardWeeklyBadges` -- N+1 queries per user\n- **dealIntelligence.js** `getDealsAtRisk` -- N+1 queries per lead\n- **ai.js** `findSimilarLeads` -- N+1 queries per candidate\n\n### 4. In-Memory State Without Cleanup\nSeveral files maintain in-memory Maps/caches without bounded size:\n- **wisdom.js** `wisdomCache` -- no max size\n- **callListRanker.js** -- 5-min cache, no max size\n- **criticalAlerts.js** `recentAlerts` -- cleaned by timer, but timer never stops\n- **twilioMedia.js** `activeStreams` -- leaked entries on abnormal disconnect\n\n### 5. Dynamic `require()` Inside Functions\nMultiple files use `require()` inside function bodies to avoid circular dependencies:\n- **challengesServiceV2.js** line 296\n- **challengesService.js** lines 260, 398\n- **badgesService.js** line 254\n- **compliance.js** line 535\n\nThis works but makes dependency analysis difficult and can cause subtle initialization order bugs.\n\n### 6. Module-Level Side Effects\n- **criticalAlerts.js** line 34: `setInterval` that runs forever\n- **cache.js** lines 11, 208: Constructor calls async `init()`, creating Redis connections at module load\n- **weeklyIntelligence.js** line 9: Creates OpenAI client at module load without key check\n\n---\n\n## DATABASE TABLES ACCESSED (COMPLETE LIST)\n\nAcross all 44 files, the following tables are queried:\n\n`leads`, `communications`, `user_xp`, `xp_history`, `callbacks`, `sequences`, `sequence_enrollments`, `sequence_steps`, `sms_templates`, `daily_challenges`, `team_challenges`, `manager_challenges`, `duels`, `celebration_events`, `user_badges`, `leaderboard_records`, `leaderboard_snapshots`, `team_pulse`, `call_quality_scores`, `rep_weekly_snapshots`, `copilot_sessions`, `lead_notes`, `conversion_patterns`, `objection_responses`, `suggestion_feedback`, `stage_transitions`, `deal_outcomes`, `winning_patterns`, `company_intel`, `lead_intel`, `lead_dossier`, `platform_activity`, `ai_insights`, `brand_guidelines`, `compliance_review_queue`, `prompt_versions`, `system_settings`, `intelligence_suggestions`, `detected_friction`, `intelligence_adjustments`, `weekly_excellence_reports`, `usage_events`, `wisdom`, `wisdom_shown`, `push_subscriptions`, `vapi_tasks`, `dev_queue`, `enrichment_config`, `enrichment_cache`, `enrichment_usage`, `webhook_endpoints`, `webhook_deliveries`, `job_locks`, `web_vitals`, `frontend_errors`, `speed_to_lead`, `playbook_messages`, `scripts`, `conversions`\n\n**Total: ~60 distinct tables.**\n\n---\n\n## EXTERNAL API DEPENDENCIES\n\n1. **OpenAI** (GPT-4o, GPT-4o-mini, Whisper) -- used by: ai.js, activationAI.js, aiCallScoring.js, weeklyIntelligence.js, wisdom.js, stageDiagnosis.js, repPerformance.js, compliance.js, taskParser.js, selfImprovement.js\n2. **Twilio** (SMS, Voice, Media Streams) -- used by: twilio.js, twimlWithStream.js, twilioMedia.js, twilioMediaSetup.js, notifications.js, taskExecutor.js\n3. **Deepgram** (Real-time transcription) -- used by: deepgram.js, twilioMedia.js\n4. **Perplexity AI** (Web research) -- used by: perplexity.js\n5. **Apollo.io** (Lead enrichment) -- used by: enrichment.js\n6. **Slack** (Webhooks) -- used by: slack.js, criticalAlerts.js, selfImprovement.js\n7. **RateRight Admin API** (Platform sync) -- used by: platformSync.js\n8. **Redis** (Caching) -- used by: cache.js\n9. **Web Push** (Push notifications) -- used by: pushNotifications.js"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7501,"cache_read_input_tokens":123411,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7501},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXtC4k7kQVhKLYrZ1ZLoa","type":"assistant","uuid":"cfa614c9-093c-47dd-9ed3-2633a0a9224a","timestamp":"2026-02-07T05:59:21.324Z"}