\n 130→ );\n 131→ }\n 132→\n 133→ return ;\n 134→ };\n 135→}\n\n\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\n"}]},"uuid":"08607ac4-663b-4c5a-861d-d768355bcc7f","timestamp":"2026-02-10T05:47:21.258Z","sourceToolAssistantUUID":"73ea1aef-c77f-4cbb-8522-3eed0103fc27"}
{"parentUuid":"08607ac4-663b-4c5a-861d-d768355bcc7f","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_01CgMsi5T1ZbMhxUE6eKXEYx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012BEkVKXC5HhTsd7GZrKAjx","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/lib/location-utils.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11886,"cache_read_input_tokens":12652,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11886},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyrtgHqgfvtP1NUow1nX","type":"assistant","uuid":"8eebd84e-a115-4377-82bd-9ed0d735cf53","timestamp":"2026-02-10T05:47:21.731Z"}
{"parentUuid":"8eebd84e-a115-4377-82bd-9ed0d735cf53","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012BEkVKXC5HhTsd7GZrKAjx","toolUseID":"toolu_012BEkVKXC5HhTsd7GZrKAjx","timestamp":"2026-02-10T05:47:21.741Z","uuid":"aed26643-7f48-4205-b43d-5da303aa0920"}
{"parentUuid":"8eebd84e-a115-4377-82bd-9ed0d735cf53","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012BEkVKXC5HhTsd7GZrKAjx","type":"tool_result","content":" 1→/**\n 2→ * Converts PostgreSQL point format to JSON object format\n 3→ * PostgreSQL point can come as:\n 4→ * - String: \"(lat,lng)\"\n 5→ * - Object: {x: lat, y: lng}\n 6→ * - Already in JSON format: {lat, lng}\n 7→ * \n 8→ * @param point - PostgreSQL point data in various formats\n 9→ * @returns Location object with lat/lng properties or null if invalid\n 10→ * \n 11→ * @example\n 12→ * postgresPointToJson('(-33.8688,151.2093)')\n 13→ * // Returns: { lat: -33.8688, lng: 151.2093 }\n 14→ * \n 15→ * @example\n 16→ * postgresPointToJson({ x: -33.8688, y: 151.2093 })\n 17→ * // Returns: { lat: -33.8688, lng: 151.2093 }\n 18→ * \n 19→ * @example\n 20→ * postgresPointToJson({ lat: -33.8688, lng: 151.2093 })\n 21→ * // Returns: { lat: -33.8688, lng: 151.2093 }\n 22→ */\n 23→export function postgresPointToJson(point: any): { lat: number; lng: number } | null {\n 24→ if (!point) return null;\n 25→ \n 26→ // If it's already in the correct JSON format\n 27→ if (typeof point === 'object' && 'lat' in point && 'lng' in point) {\n 28→ return point;\n 29→ }\n 30→ \n 31→ // If it's a string like \"(lat,lng)\"\n 32→ if (typeof point === 'string') {\n 33→ const match = point.match(/^\\s*\\(\\s*(-?\\d+\\.?\\d*)\\s*,\\s*(-?\\d+\\.?\\d*)\\s*\\)\\s*$/);\n 34→ if (match) {\n 35→ return {\n 36→ lat: parseFloat(match[1]),\n 37→ lng: parseFloat(match[2])\n 38→ };\n 39→ }\n 40→ }\n 41→ \n 42→ // If it's an object with x,y properties (PostgreSQL point object)\n 43→ if (typeof point === 'object' && 'x' in point && 'y' in point) {\n 44→ return {\n 45→ lat: parseFloat(point.x),\n 46→ lng: parseFloat(point.y)\n 47→ };\n 48→ }\n 49→ \n 50→ return null;\n 51→}\n 52→\n 53→/**\n 54→ * Converts JSON object format to PostgreSQL point format\n 55→ * Returns a string in the format \"(lat,lng)\"\n 56→ * \n 57→ * @param location - Location object with lat/lng properties\n 58→ * @returns PostgreSQL point format string or null if input is null\n 59→ * \n 60→ * @example\n 61→ * jsonToPostgresPoint({ lat: -33.8688, lng: 151.2093 })\n 62→ * // Returns: \"(-33.8688,151.2093)\"\n 63→ * \n 64→ * @example\n 65→ * jsonToPostgresPoint(null)\n 66→ * // Returns: null\n 67→ */\n 68→export function jsonToPostgresPoint(location: { lat: number; lng: number } | null): string | null {\n 69→ if (!location) return null;\n 70→ return `(${location.lat},${location.lng})`;\n 71→}\n 72→\n 73→/**\n 74→ * Type guard to check if a value is a valid location object\n 75→ * \n 76→ * @param obj - Value to check\n 77→ * @returns True if obj is a valid location object with numeric lat/lng\n 78→ * \n 79→ * @example\n 80→ * isValidLocation({ lat: -33.8688, lng: 151.2093 })\n 81→ * // Returns: true\n 82→ * \n 83→ * @example\n 84→ * isValidLocation({ lat: 'invalid', lng: 151.2093 })\n 85→ * // Returns: false\n 86→ * \n 87→ * @example\n 88→ * isValidLocation(null)\n 89→ * // Returns: false\n 90→ */\n 91→export function isValidLocation(obj: any): obj is { lat: number; lng: number } {\n 92→ return obj && \n 93→ typeof obj === 'object' && \n 94→ typeof obj.lat === 'number' && \n 95→ typeof obj.lng === 'number' &&\n 96→ !isNaN(obj.lat) && \n 97→ !isNaN(obj.lng);\n 98→}\n\n\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\n"}]},"uuid":"57b83789-80a7-4766-bb6f-27258af811a0","timestamp":"2026-02-10T05:47:21.740Z","sourceToolAssistantUUID":"8eebd84e-a115-4377-82bd-9ed0d735cf53"}
{"parentUuid":"57b83789-80a7-4766-bb6f-27258af811a0","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_01J35EM7Z6MPGZ1HsTmPqrm8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015yQ5sz8M7oEG1QQBraQ2yr","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/lib/logger.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11698,"cache_read_input_tokens":24538,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11698},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyru81Qbc2yGPeKM5uvs","type":"assistant","uuid":"d9f8f68f-da2a-4f71-9d89-1933a2e7d32c","timestamp":"2026-02-10T05:47:24.926Z"}
{"parentUuid":"d9f8f68f-da2a-4f71-9d89-1933a2e7d32c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015yQ5sz8M7oEG1QQBraQ2yr","toolUseID":"toolu_015yQ5sz8M7oEG1QQBraQ2yr","timestamp":"2026-02-10T05:47:24.947Z","uuid":"49869fa3-a8b7-4daf-a2b7-a4a4c06834a4"}
{"parentUuid":"d9f8f68f-da2a-4f71-9d89-1933a2e7d32c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015yQ5sz8M7oEG1QQBraQ2yr","type":"tool_result","content":" 1→import pino from 'pino';\n 2→\n 3→/**\n 4→ * Logger configuration using pino for structured logging\n 5→ * Only active in development environment, silent in production\n 6→ */\n 7→\n 8→// Create logger configuration based on environment\n 9→const isDevelopment = process.env.NODE_ENV === 'development';\n 10→\n 11→const pinoLogger = pino({\n 12→ level: isDevelopment ? 'debug' : 'silent',\n 13→ transport: isDevelopment ? {\n 14→ target: 'pino-pretty',\n 15→ options: {\n 16→ colorize: true,\n 17→ translateTime: 'SYS:standard',\n 18→ ignore: 'pid,hostname',\n 19→ },\n 20→ } : undefined,\n 21→ // In production, we could potentially log to a file or external service\n 22→ // For now, we're making it completely silent in production\n 23→});\n 24→\n 25→/**\n 26→ * Logger utility with multiple log levels\n 27→ * Only outputs in development environment to avoid production noise\n 28→ * \n 29→ * @example\n 30→ * logger.info('User logged in', { userId: '123' });\n 31→ * logger.error('Database connection failed', error);\n 32→ * logger.debug('Processing request', { method: 'POST', path: '/api/users' });\n 33→ */\n 34→export const logger = {\n 35→ /**\n 36→ * Log debug information (development only)\n 37→ * @param message - Log message\n 38→ * @param args - Additional context data\n 39→ */\n 40→ debug: (message: string, ...args: any[]) => {\n 41→ if (isDevelopment) {\n 42→ pinoLogger.debug({ args }, message);\n 43→ }\n 44→ },\n 45→ /**\n 46→ * Log informational messages (development only)\n 47→ * @param message - Log message\n 48→ * @param args - Additional context data\n 49→ */\n 50→ info: (message: string, ...args: any[]) => {\n 51→ if (isDevelopment) {\n 52→ pinoLogger.info({ args }, message);\n 53→ }\n 54→ },\n 55→ /**\n 56→ * Log warning messages (development only)\n 57→ * @param message - Log message\n 58→ * @param args - Additional context data\n 59→ */\n 60→ warn: (message: string, ...args: any[]) => {\n 61→ if (isDevelopment) {\n 62→ pinoLogger.warn({ args }, message);\n 63→ }\n 64→ },\n 65→ /**\n 66→ * Log error messages (development only)\n 67→ * @param message - Log message\n 68→ * @param args - Additional context data (errors, stack traces, etc.)\n 69→ */\n 70→ error: (message: string, ...args: any[]) => {\n 71→ if (isDevelopment) {\n 72→ pinoLogger.error({ args }, message);\n 73→ }\n 74→ },\n 75→};\n 76→\n 77→export default logger;\n\n\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\n"}]},"uuid":"4afadbb1-28a6-475b-a00b-121f920f9868","timestamp":"2026-02-10T05:47:24.944Z","sourceToolAssistantUUID":"d9f8f68f-da2a-4f71-9d89-1933a2e7d32c"}
{"parentUuid":"4afadbb1-28a6-475b-a00b-121f920f9868","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_01J35EM7Z6MPGZ1HsTmPqrm8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MBpJjDZcAR8Zhu8ub314Xk","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/lib/messaging.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11698,"cache_read_input_tokens":24538,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11698},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyru81Qbc2yGPeKM5uvs","type":"assistant","uuid":"60b23c9b-294f-4215-81e5-105c39be9514","timestamp":"2026-02-10T05:47:25.461Z"}
{"parentUuid":"60b23c9b-294f-4215-81e5-105c39be9514","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MBpJjDZcAR8Zhu8ub314Xk","toolUseID":"toolu_01MBpJjDZcAR8Zhu8ub314Xk","timestamp":"2026-02-10T05:47:25.488Z","uuid":"2ffb9002-c0a5-49d3-aa28-ee95d0a84f16"}
{"parentUuid":"60b23c9b-294f-4215-81e5-105c39be9514","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MBpJjDZcAR8Zhu8ub314Xk","type":"tool_result","content":" 1→import { createClient } from \"@/lib/supabase/server\";\n 2→\n 3→/**\n 4→ * Gets or creates a conversation between two users\n 5→ * Uses the database RPC function 'get_or_create_conversation' to handle\n 6→ * the logic of finding existing conversations or creating new ones\n 7→ * \n 8→ * @param user1Id - ID of the first user in the conversation\n 9→ * @param user2Id - ID of the second user in the conversation\n 10→ * @returns Promise resolving to the conversation ID\n 11→ * @throws Error if the database operation fails\n 12→ * \n 13→ * @example\n 14→ * const conversationId = await getOrCreateConversation('user-123', 'user-456');\n 15→ */\n 16→export async function getOrCreateConversation(user1Id: string, user2Id: string) {\n 17→ const supabase = await createClient();\n 18→\n 19→ // Use the database function to get or create conversation\n 20→ const { data: conversationId, error } = await supabase\n 21→ .rpc('get_or_create_conversation', {\n 22→ user1_id: user1Id,\n 23→ user2_id: user2Id\n 24→ });\n 25→\n 26→ if (error) {\n 27→ throw new Error(`Failed to get or create conversation: ${error.message}`);\n 28→ }\n 29→\n 30→ return conversationId as string;\n 31→}\n\n\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\n"}]},"uuid":"ab9a2fc7-ad7f-411c-8ff8-85eb8024113a","timestamp":"2026-02-10T05:47:25.485Z","sourceToolAssistantUUID":"60b23c9b-294f-4215-81e5-105c39be9514"}
{"parentUuid":"ab9a2fc7-ad7f-411c-8ff8-85eb8024113a","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_01J35EM7Z6MPGZ1HsTmPqrm8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Msdud5zajJAZWZn8Gj3T2n","name":"Read","input":{"file_path":"/home/ccuser/the-50-dollar-app/src/lib/rate-limit.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11698,"cache_read_input_tokens":24538,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11698},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyru81Qbc2yGPeKM5uvs","type":"assistant","uuid":"cfe50a67-86a6-4765-bd4c-e951fc774754","timestamp":"2026-02-10T05:47:25.884Z"}
{"parentUuid":"cfe50a67-86a6-4765-bd4c-e951fc774754","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Msdud5zajJAZWZn8Gj3T2n","toolUseID":"toolu_01Msdud5zajJAZWZn8Gj3T2n","timestamp":"2026-02-10T05:47:25.891Z","uuid":"44e793a0-ec2c-4fdf-83fa-87cf54b172f4"}
{"parentUuid":"cfe50a67-86a6-4765-bd4c-e951fc774754","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Msdud5zajJAZWZn8Gj3T2n","type":"tool_result","content":" 1→/**\n 2→ * Rate limiting for API endpoints\n 3→ *\n 4→ * Production: Uses Upstash Redis for distributed rate limiting across\n 5→ * serverless invocations. Falls back to in-memory Map() if Redis is\n 6→ * unavailable (local dev or connection failure).\n 7→ *\n 8→ * Env vars (pick one):\n 9→ * UPSTASH_REDIS_REST_URL + UPSTASH_REDIS_REST_TOKEN (preferred)\n 10→ * LIMITER_STORAGE_URI (legacy redis:// URL — auto-converted)\n 11→ */\n 12→\n 13→import { Ratelimit } from \"@upstash/ratelimit\";\n 14→import { Redis } from \"@upstash/redis\";\n 15→\n 16→// ---------------------------------------------------------------------------\n 17→// Constants\n 18→// ---------------------------------------------------------------------------\n 19→const WINDOW_MS = 15 * 60 * 1000; // 15 minutes\n 20→const MAX_REQUESTS = 100;\n 21→\n 22→// ---------------------------------------------------------------------------\n 23→// In-memory fallback (local dev / Redis failure)\n 24→// ---------------------------------------------------------------------------\n 25→\n 26→interface RateLimitEntry {\n 27→ count: number;\n 28→ resetTime: number;\n 29→}\n 30→\n 31→const rateLimitStore = new Map();\n 32→\n 33→function memoryCheckRateLimit(\n 34→ identifier: string,\n 35→ maxRequests: number,\n 36→ windowMs: number\n 37→): { allowed: boolean; remaining: number; resetTime: number; totalLimit: number } {\n 38→ const now = Date.now();\n 39→ const entry = rateLimitStore.get(identifier);\n 40→\n 41→ if (!entry || now > entry.resetTime) {\n 42→ rateLimitStore.set(identifier, { count: 1, resetTime: now + windowMs });\n 43→ return { allowed: true, remaining: maxRequests - 1, resetTime: now + windowMs, totalLimit: maxRequests };\n 44→ }\n 45→\n 46→ if (entry.count >= maxRequests) {\n 47→ return { allowed: false, remaining: 0, resetTime: entry.resetTime, totalLimit: maxRequests };\n 48→ }\n 49→\n 50→ entry.count++;\n 51→ return { allowed: true, remaining: maxRequests - entry.count, resetTime: entry.resetTime, totalLimit: maxRequests };\n 52→}\n 53→\n 54→// Cleanup interval to prevent memory leaks in long-running processes\n 55→const CLEANUP_INTERVAL_MS = 5 * 60 * 1000;\n 56→let cleanupInterval: NodeJS.Timeout | null = null;\n 57→\n 58→export function startRateLimitCleanup(): void {\n 59→ if (cleanupInterval) return;\n 60→ cleanupInterval = setInterval(() => {\n 61→ const now = Date.now();\n 62→ for (const [key, entry] of rateLimitStore.entries()) {\n 63→ if (now > entry.resetTime) rateLimitStore.delete(key);\n 64→ }\n 65→ }, CLEANUP_INTERVAL_MS);\n 66→ if (cleanupInterval.unref) cleanupInterval.unref();\n 67→}\n 68→\n 69→export function stopRateLimitCleanup(): void {\n 70→ if (cleanupInterval) {\n 71→ clearInterval(cleanupInterval);\n 72→ cleanupInterval = null;\n 73→ }\n 74→}\n 75→\n 76→// ---------------------------------------------------------------------------\n 77→// Redis client (singleton, lazy-init)\n 78→// ---------------------------------------------------------------------------\n 79→\n 80→let redis: Redis | null = null;\n 81→let redisAvailable = true; // flipped to false on connection failure\n 82→\n 83→function getRedis(): Redis | null {\n 84→ if (!redisAvailable) return null;\n 85→ if (redis) return redis;\n 86→\n 87→ const restUrl = process.env.UPSTASH_REDIS_REST_URL;\n 88→ const restToken = process.env.UPSTASH_REDIS_REST_TOKEN;\n 89→\n 90→ if (restUrl && restToken) {\n 91→ redis = new Redis({ url: restUrl, token: restToken });\n 92→ return redis;\n 93→ }\n 94→\n 95→ // Parse legacy redis:// URI into Upstash REST format\n 96→ // Expected: redis://default:@.upstash.io:6379\n 97→ const legacyUri = process.env.LIMITER_STORAGE_URI;\n 98→ if (legacyUri) {\n 99→ try {\n 100→ const parsed = new URL(legacyUri);\n 101→ const host = parsed.hostname;\n 102→ const token = decodeURIComponent(parsed.password);\n 103→ if (host && token) {\n 104→ redis = new Redis({ url: `https://${host}`, token });\n 105→ return redis;\n 106→ }\n 107→ } catch {\n 108→ // Parsing failed — fall through to memory\n 109→ }\n 110→ }\n 111→\n 112→ // No Redis config — use memory\n 113→ redisAvailable = false;\n 114→ return null;\n 115→}\n 116→\n 117→// ---------------------------------------------------------------------------\n 118→// Upstash Ratelimit instances (cached per unique window config)\n 119→// ---------------------------------------------------------------------------\n 120→\n 121→const limiterCache = new Map();\n 122→\n 123→function getLimiter(maxRequests: number, windowMs: number): Ratelimit | null {\n 124→ const client = getRedis();\n 125→ if (!client) return null;\n 126→\n 127→ const key = `${maxRequests}:${windowMs}`;\n 128→ let limiter = limiterCache.get(key);\n 129→ if (limiter) return limiter;\n 130→\n 131→ const windowSec = Math.ceil(windowMs / 1000);\n 132→ const windowStr = `${windowSec} s` as `${number} s`;\n 133→\n 134→ limiter = new Ratelimit({\n 135→ redis: client,\n 136→ limiter: Ratelimit.slidingWindow(maxRequests, windowStr),\n 137→ prefix: \"rr:rl\",\n 138→ });\n 139→\n 140→ limiterCache.set(key, limiter);\n 141→ return limiter;\n 142→}\n 143→\n 144→// ---------------------------------------------------------------------------\n 145→// Public API (unchanged signatures)\n 146→// ---------------------------------------------------------------------------\n 147→\n 148→export function getClientIP(request: Request): string {\n 149→ const forwarded = request.headers.get(\"x-forwarded-for\");\n 150→ if (forwarded) return forwarded.split(\",\")[0].trim();\n 151→ const realIP = request.headers.get(\"x-real-ip\");\n 152→ if (realIP) return realIP;\n 153→ return \"unknown\";\n 154→}\n 155→\n 156→export async function checkRateLimit(\n 157→ identifier: string,\n 158→ maxRequests?: number,\n 159→ windowMs?: number\n 160→): Promise<{\n 161→ allowed: boolean;\n 162→ remaining: number;\n 163→ resetTime: number;\n 164→ totalLimit: number;\n 165→}> {\n 166→ const limit = maxRequests ?? MAX_REQUESTS;\n 167→ const window = windowMs ?? WINDOW_MS;\n 168→\n 169→ const limiter = getLimiter(limit, window);\n 170→ if (limiter) {\n 171→ try {\n 172→ const result = await limiter.limit(identifier);\n 173→ return {\n 174→ allowed: result.success,\n 175→ remaining: result.remaining,\n 176→ resetTime: result.reset,\n 177→ totalLimit: result.limit,\n 178→ };\n 179→ } catch {\n 180→ // Redis failed — fall through to memory\n 181→ }\n 182→ }\n 183→\n 184→ return memoryCheckRateLimit(identifier, limit, window);\n 185→}\n 186→\n 187→export function getRateLimitHeaders(result: {\n 188→ allowed: boolean;\n 189→ remaining: number;\n 190→ resetTime: number;\n 191→ totalLimit: number;\n 192→}): Record {\n 193→ return {\n 194→ \"X-RateLimit-Limit\": result.totalLimit.toString(),\n 195→ \"X-RateLimit-Remaining\": Math.max(0, result.remaining).toString(),\n 196→ \"X-RateLimit-Reset\": new Date(result.resetTime).toISOString(),\n 197→ };\n 198→}\n 199→\n 200→export function createRateLimitResponse(\n 201→ _identifier: string,\n 202→ retryAfterSeconds?: number\n 203→): Response {\n 204→ const headers = new Headers({\n 205→ \"Content-Type\": \"application/json\",\n 206→ \"X-RateLimit-Limit\": MAX_REQUESTS.toString(),\n 207→ \"X-RateLimit-Remaining\": \"0\",\n 208→ });\n 209→\n 210→ if (retryAfterSeconds) {\n 211→ headers.set(\"Retry-After\", retryAfterSeconds.toString());\n 212→ }\n 213→\n 214→ return new Response(\n 215→ JSON.stringify({\n 216→ error: \"Rate limit exceeded. Please try again later.\",\n 217→ retryAfter: retryAfterSeconds,\n 218→ }),\n 219→ { status: 429, headers }\n 220→ );\n 221→}\n 222→\n 223→// Auto-start memory cleanup\n 224→startRateLimitCleanup();\n 225→\n 226→export { MAX_REQUESTS, WINDOW_MS };\n 227→\n\n\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\n"}]},"uuid":"744d90d6-e43b-40ca-b4ea-668790aaba60","timestamp":"2026-02-10T05:47:25.890Z","sourceToolAssistantUUID":"cfe50a67-86a6-4765-bd4c-e951fc774754"}
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{"parentUuid":"1f6bc64c-32a3-4b23-bd2d-0d3833a3a4a8","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LQW2cTotQjTJmnphNTywZQ","type":"tool_result","content":" 1→/**\n 2→ * Sanitizes user input to prevent prompt injection attacks\n 3→ * Strips control characters, limits length, and escapes template injection\n 4→ */\n 5→\n 6→/**\n 7→ * Strip control characters (0x00-0x1F, 0x7F)\n 8→ * \n 9→ * @param str - Input string to clean\n 10→ * @returns String with control characters removed\n 11→ * \n 12→ * @example\n 13→ * stripControlChars('Hello\\x00World\\x1F')\n 14→ * // Returns: 'HelloWorld'\n 15→ */\n 16→function stripControlChars(str: string): string {\n 17→ return str.replace(/[\\x00-\\x1F\\x7F]/g, '');\n 18→}\n 19→\n 20→/**\n 21→ * Escape template literals to prevent injection\n 22→ * Prevents template literal injection by escaping backticks, $, and backslashes\n 23→ * \n 24→ * @param str - Input string to escape\n 25→ * @returns Escaped string safe for template literals\n 26→ * \n 27→ * @example\n 28→ * escapeTemplateLiterals('Hello ${user.name}')\n 29→ * // Returns: 'Hello \\${user.name}'\n 30→ * \n 31→ * @example\n 32→ * escapeTemplateLiterals('Backtick: `code`')\n 33→ * // Returns: 'Backtick: \\`code\\`'\n 34→ */\n 35→function escapeTemplateLiterals(str: string): string {\n 36→ return str\n 37→ .replace(/\\\\/g, '\\\\\\\\') // Escape backslashes first\n 38→ .replace(/\\$/g, '\\\\$') // Escape $ to prevent ${} injection\n 39→ .replace(/`/g, '\\\\`'); // Escape backticks\n 40→}\n 41→\n 42→/**\n 43→ * Sanitize string input to prevent security issues and normalize data\n 44→ * Strips control characters, escapes template literals, trims whitespace, and enforces length limits\n 45→ * \n 46→ * @param input - String input to sanitize\n 47→ * @param options - Sanitization options\n 48→ * @param options.maxLength - Maximum allowed length (truncates if longer)\n 49→ * @param options.stripControls - Whether to strip control characters (default: true)\n 50→ * @param options.escapeTemplates - Whether to escape template literals (default: true)\n 51→ * @returns Sanitized string\n 52→ * \n 53→ * @example\n 54→ * sanitizeInput('Hello\\x00World')\n 55→ * // Returns: 'HelloWorld'\n 56→ * \n 57→ * @example\n 58→ * sanitizeInput(' Hello ${injection} ', { maxLength: 10 })\n 59→ * // Returns: 'Hello \\${injection}'\n 60→ * \n 61→ * @example\n 62→ * sanitizeInput('user input', { stripControls: false, escapeTemplates: false })\n 63→ * // Returns: 'user input'\n 64→ */\n 65→export function sanitizeInput(\n 66→ input: string,\n 67→ options: {\n 68→ maxLength?: number;\n 69→ stripControls?: boolean;\n 70→ escapeTemplates?: boolean;\n 71→ } = {}\n 72→): string {\n 73→ if (typeof input !== 'string') {\n 74→ return '';\n 75→ }\n 76→\n 77→ let sanitized = input;\n 78→\n 79→ // Strip control characters by default\n 80→ if (options.stripControls !== false) {\n 81→ sanitized = stripControlChars(sanitized);\n 82→ }\n 83→\n 84→ // Escape template literals by default\n 85→ if (options.escapeTemplates !== false) {\n 86→ sanitized = escapeTemplateLiterals(sanitized);\n 87→ }\n 88→\n 89→ // Trim whitespace\n 90→ sanitized = sanitized.trim();\n 91→\n 92→ // Limit length if specified\n 93→ if (options.maxLength && sanitized.length > options.maxLength) {\n 94→ sanitized = sanitized.substring(0, options.maxLength);\n 95→ }\n 96→\n 97→ return sanitized;\n 98→}\n 99→\n 100→/**\n 101→ * Strip phone numbers and email addresses from text to prevent\n 102→ * contractors and workers from bypassing the platform.\n 103→ *\n 104→ * Handles Australian phone formats: 04xx xxx xxx, +614xxxxxxxx, (02) xxxx xxxx, etc.\n 105→ * Handles email addresses: user@domain.com\n 106→ *\n 107→ * @param input - String to strip contact info from\n 108→ * @returns String with phone numbers and emails replaced with [removed]\n 109→ */\n 110→export function stripContactInfo(input: string): string {\n 111→ if (typeof input !== 'string') return '';\n 112→\n 113→ let result = input;\n 114→\n 115→ // Australian mobile: 04xx xxx xxx, 04xxxxxxxx, +614xxxxxxxx\n 116→ result = result.replace(/(\\+?61\\s?|0)4\\d{2}[\\s.-]?\\d{3}[\\s.-]?\\d{3}/g, '[removed]');\n 117→\n 118→ // Australian landline: (0x) xxxx xxxx, 0x xxxx xxxx\n 119→ result = result.replace(/\\(?0[2-9]\\)?[\\s.-]?\\d{4}[\\s.-]?\\d{4}/g, '[removed]');\n 120→\n 121→ // General international numbers: +xx xxxxxxxxxx (10+ digits with optional separators)\n 122→ result = result.replace(/\\+\\d{1,3}[\\s.-]?\\d[\\d\\s.-]{8,}/g, '[removed]');\n 123→\n 124→ // Catch remaining digit sequences that look like phone numbers (8-12 digits with separators)\n 125→ result = result.replace(/\\b\\d{4}[\\s.-]\\d{3}[\\s.-]\\d{3}\\b/g, '[removed]');\n 126→\n 127→ // Email addresses\n 128→ result = result.replace(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}/g, '[removed]');\n 129→\n 130→ // Clean up multiple consecutive [removed] markers\n 131→ result = result.replace(/(\\[removed\\]\\s*){2,}/g, '[removed] ');\n 132→\n 133→ return result;\n 134→}\n 135→\n 136→/**\n 137→ * Sanitize multiple string inputs at once with field-specific options\n 138→ * Useful for form data where different fields have different validation rules\n 139→ * \n 140→ * @param inputs - Object with string values to sanitize\n 141→ * @param fieldOptions - Per-field sanitization options (keyed by field name)\n 142→ * @returns Object with sanitized values\n 143→ * \n 144→ * @example\n 145→ * sanitizeInputs(\n 146→ * { name: 'John Doe', bio: 'Hello\\x00World', email: ' john@example.com ' },\n 147→ * { bio: { maxLength: 500 }, email: { maxLength: 100 } }\n 148→ * )\n 149→ * // Returns: { name: 'John Doe', bio: 'HelloWorld', email: 'john@example.com' }\n 150→ */\n 151→export function sanitizeInputs(\n 152→ inputs: Record,\n 153→ fieldOptions: Record = {}\n 154→): Record {\n 155→ const sanitized: Record = {};\n 156→\n 157→ for (const [key, value] of Object.entries(inputs)) {\n 158→ const options = fieldOptions[key] || {};\n 159→ sanitized[key] = sanitizeInput(value, options);\n 160→ }\n 161→\n 162→ return sanitized;\n 163→}\n\n\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\n"}]},"uuid":"9c8f06e4-41ff-41c3-94e8-399faf311d0a","timestamp":"2026-02-10T05:47:26.345Z","sourceToolAssistantUUID":"1f6bc64c-32a3-4b23-bd2d-0d3833a3a4a8"}
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{"parentUuid":"b094e8d5-e2a6-4ce1-b7b6-34f67f60da24","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UpsuD6JPYmePAH5cb94r1T","type":"tool_result","content":" 1→export type UserType = \"worker\" | \"contractor\";\n 2→\n 3→export type Availability = \"full-time\" | \"casual\" | \"weekends\" | \"flexible\";\n 4→\n 5→export type RateType = \"hourly\" | \"daily\";\n 6→\n 7→export type JobStatus = \"draft\" | \"active\" | \"filled\" | \"closed\";\n 8→\n 9→export type MatchStatus =\n 10→ | \"suggested\"\n 11→ | \"applied\"\n 12→ | \"accepted\"\n 13→ | \"rejected\"\n 14→ | \"hired\";\n 15→\n 16→export type ActionStatus = \"pending\" | \"accepted\" | \"rejected\";\n 17→\n 18→export type PaymentStatus = \"pending\" | \"charged\" | \"refunded\";\n 19→\n 20→export type NotificationType = \"match\" | \"hire_request\" | \"hire_confirmed\" | \"rating\" | \"job_posted\" | \"system\";\n 21→\n 22→export interface Profile {\n 23→ id: string;\n 24→ type: UserType;\n 25→ name: string | null;\n 26→ phone: string | null;\n 27→ email: string | null;\n 28→ avatar_url: string | null;\n 29→ /**\n 30→ * Location as { lat, lng } object\n 31→ * Note: Database stores this as PostgreSQL point type\n 32→ * Use postgresPointToJson() when reading from DB\n 33→ * Use jsonToPostgresPoint() when writing to DB\n 34→ */\n 35→ location: { lat: number; lng: number } | null;\n 36→ suburb: string | null;\n 37→ verified: boolean;\n 38→ onboarding_completed: boolean;\n 39→ created_at: string;\n 40→ updated_at: string;\n 41→ last_seen_at: string | null;\n 42→ ai_generated: boolean;\n 43→}\n 44→\n 45→export interface Company {\n 46→ id: string;\n 47→ profile_id: string;\n 48→ name: string;\n 49→ abn: string | null;\n 50→ address: string | null;\n 51→ industry: string | null;\n 52→ size: string | null;\n 53→ website: string | null;\n 54→ logo_url: string | null;\n 55→ ai_research: Record | null;\n 56→ created_at: string;\n 57→ updated_at: string;\n 58→}\n 59→\n 60→export interface WorkerProfile {\n 61→ id: string;\n 62→ profile_id: string;\n 63→ trades: string[];\n 64→ experience_years: number | null;\n 65→ certifications: string[];\n 66→ white_card_number: string | null;\n 67→ white_card_verified: boolean;\n 68→ availability: Availability | null;\n 69→ languages: string[];\n 70→ bio: string | null;\n 71→ voice_note_url: string | null;\n 72→ ai_extracted: Record | null;\n 73→ created_at: string;\n 74→ updated_at: string;\n 75→}\n 76→\n 77→export interface Job {\n 78→ id: string;\n 79→ company_id: string;\n 80→ title: string;\n 81→ description: string | null;\n 82→ trade: string;\n 83→ /** \n 84→ * Location as { lat, lng } object\n 85→ * Note: Database stores this as PostgreSQL point type\n 86→ * Use postgresPointToJson() when reading from DB\n 87→ * Use jsonToPostgresPoint() when writing to DB\n 88→ */\n 89→ location: { lat: number; lng: number } | null;\n 90→ suburb: string | null;\n 91→ site_address: string | null;\n 92→ rate_min: number | null;\n 93→ rate_max: number | null;\n 94→ rate_type: RateType;\n 95→ start_date: string | null;\n 96→ duration: string | null;\n 97→ workers_needed: number;\n 98→ certifications_required: string[];\n 99→ status: JobStatus;\n 100→ ai_generated: boolean;\n 101→ created_at: string;\n 102→ updated_at: string;\n 103→}\n 104→\n 105→export interface Match {\n 106→ id: string;\n 107→ job_id: string;\n 108→ worker_id: string;\n 109→ status: MatchStatus;\n 110→ match_score: number | null;\n 111→ ai_summary: string | null;\n 112→ contractor_action: ActionStatus;\n 113→ worker_action: ActionStatus;\n 114→ hired_at: string | null;\n 115→ fee_charged: boolean;\n 116→ created_at: string;\n 117→ updated_at: string;\n 118→}\n 119→\n 120→export interface Rating {\n 121→ id: string;\n 122→ match_id: string;\n 123→ from_id: string;\n 124→ to_id: string;\n 125→ score: number;\n 126→ comment: string | null;\n 127→ created_at: string;\n 128→}\n 129→\n 130→export interface Payment {\n 131→ id: string;\n 132→ match_id: string;\n 133→ company_id: string;\n 134→ amount: number;\n 135→ status: PaymentStatus;\n 136→ stripe_payment_id: string | null;\n 137→ created_at: string;\n 138→}\n 139→\n 140→export interface Notification {\n 141→ id: string;\n 142→ profile_id: string;\n 143→ type: NotificationType;\n 144→ title: string;\n 145→ body: string | null;\n 146→ data: Record | null;\n 147→ read: boolean;\n 148→ created_at: string;\n 149→}\n 150→\n\n\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\n"}]},"uuid":"5fe20191-9656-4964-bff3-319bd6a96d3d","timestamp":"2026-02-10T05:47:26.812Z","sourceToolAssistantUUID":"b094e8d5-e2a6-4ce1-b7b6-34f67f60da24"}
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{"parentUuid":"5bcd8582-cf3b-41a5-9faf-f5efd9bfb19c","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EW6pEsFzQJvzEvo2vF4n39","type":"tool_result","content":" 1→import { clsx, type ClassValue } from \"clsx\"\n 2→import { twMerge } from \"tailwind-merge\"\n 3→\n 4→/**\n 5→ * Combines class names using clsx and tailwind-merge for conditional styling\n 6→ * Handles conditional classes, arrays, and objects with proper Tailwind CSS merging\n 7→ * \n 8→ * @param inputs - Class values to combine (strings, objects, arrays, etc.)\n 9→ * @returns Combined and merged class name string\n 10→ * \n 11→ * @example\n 12→ * // Basic usage\n 13→ * cn('px-2 py-1', 'bg-red-500')\n 14→ * \n 15→ * @example\n 16→ * // Conditional classes\n 17→ * cn('base-class', isActive && 'active-class', hasError && 'error-class')\n 18→ * \n 19→ * @example\n 20→ * // With objects\n 21→ * cn('base-class', { 'text-red-500': isError, 'text-green-500': isSuccess })\n 22→ * \n 23→ * @example\n 24→ * // Tailwind merge conflicts resolved automatically\n 25→ * cn('px-2 py-1', 'px-4') // Results in 'px-4 py-1'\n 26→ */\n 27→export function cn(...inputs: ClassValue[]) {\n 28→ return twMerge(clsx(inputs))\n 29→}\n 30→\n\n\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\n"}]},"uuid":"03572f4c-eb07-4d4e-9864-d307cb62d59b","timestamp":"2026-02-10T05:47:27.184Z","sourceToolAssistantUUID":"5bcd8582-cf3b-41a5-9faf-f5efd9bfb19c"}
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{"parentUuid":"fc5d8009-4ad6-45e0-8f76-8ecb5d670b93","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EnHcVwsjxcGinZYizepvBa","type":"tool_result","content":" 1→// Simple test to validate the voice-complete endpoint structure\n 2→// This file can be used to manually test the endpoint\n 3→\n 4→export interface VoiceCompleteRequest {\n 5→ audio?: File;\n 6→ transcript?: string;\n 7→}\n 8→\n 9→export interface VoiceCompleteResponse {\n 10→ transcript: string;\n 11→ parsed_data: {\n 12→ trades: string[];\n 13→ trade: string | null;\n 14→ experience_years: number | null;\n 15→ location: string | null;\n 16→ availability: string | null;\n 17→ additional_details: string | null;\n 18→ };\n 19→ generated_profile: {\n 20→ bio: string;\n 21→ skills: string[];\n 22→ certifications: string[];\n 23→ };\n 24→ error?: string;\n 25→ fallback?: boolean;\n 26→ timing?: {\n 27→ had_audio: boolean;\n 28→ processing_complete: boolean;\n 29→ };\n 30→}\n 31→\n 32→// Example usage test\n 33→export function testVoiceCompleteEndpoint() {\n 34→ // Test with transcript only\n 35→ const testTranscript = \"I'm a chippie with 8 years experience in Parramatta, looking for full-time work\";\n 36→ \n 37→ // This would be called from the frontend\n 38→ return fetch(\"/api/ai/voice-complete\", {\n 39→ method: \"POST\",\n 40→ headers: { \"Content-Type\": \"application/json\" },\n 41→ body: JSON.stringify({ transcript: testTranscript }),\n 42→ });\n 43→}\n\n\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\n"}]},"uuid":"7e78e882-c236-4b37-8eb6-68b8d745a5dd","timestamp":"2026-02-10T05:47:27.860Z","sourceToolAssistantUUID":"fc5d8009-4ad6-45e0-8f76-8ecb5d670b93"}
{"parentUuid":"7e78e882-c236-4b37-8eb6-68b8d745a5dd","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_01SNq29kxkU1t9aEyhVyhZDN","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check for Supabase migration files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9754,"cache_read_input_tokens":36236,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9754},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyruaCWCjD6NoPCNmZmN","type":"assistant","uuid":"9f798852-8ea2-4f14-97d1-a9ffd89e3bfd","timestamp":"2026-02-10T05:47:30.820Z"}
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{"parentUuid":"6a108d41-c83a-4b18-abe0-562b01e43769","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B4dfUTz1JUMGfwdHpTjFTf","type":"tool_result","content":" 1→-- RateRight v2 Database Schema\n 2→-- Run this in the Supabase SQL Editor\n 3→\n 4→-- ============================================\n 5→-- ENUMS\n 6→-- ============================================\n 7→\n 8→CREATE TYPE user_type AS ENUM ('worker', 'contractor');\n 9→CREATE TYPE availability_type AS ENUM ('full-time', 'casual', 'weekends', 'flexible');\n 10→CREATE TYPE rate_type AS ENUM ('hourly', 'daily');\n 11→CREATE TYPE job_status AS ENUM ('draft', 'active', 'filled', 'closed');\n 12→CREATE TYPE match_status AS ENUM ('suggested', 'applied', 'accepted', 'rejected', 'hired');\n 13→CREATE TYPE action_status AS ENUM ('pending', 'accepted', 'rejected');\n 14→CREATE TYPE payment_status AS ENUM ('pending', 'charged', 'refunded');\n 15→CREATE TYPE notification_type AS ENUM ('match', 'hire_request', 'hire_confirmed', 'rating', 'job_posted', 'system');\n 16→\n 17→-- ============================================\n 18→-- HELPER FUNCTION: auto-update updated_at\n 19→-- ============================================\n 20→\n 21→CREATE OR REPLACE FUNCTION update_updated_at()\n 22→RETURNS trigger AS $$\n 23→BEGIN\n 24→ NEW.updated_at = now();\n 25→ RETURN NEW;\n 26→END;\n 27→$$ LANGUAGE plpgsql;\n 28→\n 29→-- ============================================\n 30→-- TABLES\n 31→-- ============================================\n 32→\n 33→-- Profiles (extends Supabase Auth)\n 34→CREATE TABLE profiles (\n 35→ id uuid PRIMARY KEY REFERENCES auth.users ON DELETE CASCADE,\n 36→ type user_type NOT NULL,\n 37→ name text,\n 38→ phone text,\n 39→ email text,\n 40→ avatar_url text,\n 41→ location point,\n 42→ suburb text,\n 43→ verified boolean DEFAULT false,\n 44→ onboarding_completed boolean DEFAULT false,\n 45→ created_at timestamptz DEFAULT now(),\n 46→ updated_at timestamptz DEFAULT now(),\n 47→ ai_generated boolean DEFAULT false\n 48→);\n 49→\n 50→CREATE TRIGGER profiles_updated_at\n 51→ BEFORE UPDATE ON profiles\n 52→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 53→\n 54→-- Companies (contractor-specific)\n 55→CREATE TABLE companies (\n 56→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 57→ profile_id uuid NOT NULL UNIQUE REFERENCES profiles ON DELETE CASCADE,\n 58→ name text NOT NULL,\n 59→ abn text,\n 60→ address text,\n 61→ industry text,\n 62→ size text,\n 63→ website text,\n 64→ logo_url text,\n 65→ ai_research jsonb,\n 66→ created_at timestamptz DEFAULT now(),\n 67→ updated_at timestamptz DEFAULT now()\n 68→);\n 69→\n 70→CREATE TRIGGER companies_updated_at\n 71→ BEFORE UPDATE ON companies\n 72→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 73→\n 74→-- Worker profiles (worker-specific)\n 75→CREATE TABLE worker_profiles (\n 76→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 77→ profile_id uuid NOT NULL UNIQUE REFERENCES profiles ON DELETE CASCADE,\n 78→ trades text[] DEFAULT '{}',\n 79→ experience_years integer,\n 80→ certifications text[] DEFAULT '{}',\n 81→ white_card_number text,\n 82→ white_card_verified boolean DEFAULT false,\n 83→ availability availability_type,\n 84→ languages text[] DEFAULT '{}',\n 85→ bio text,\n 86→ voice_note_url text,\n 87→ ai_extracted jsonb,\n 88→ created_at timestamptz DEFAULT now(),\n 89→ updated_at timestamptz DEFAULT now()\n 90→);\n 91→\n 92→CREATE TRIGGER worker_profiles_updated_at\n 93→ BEFORE UPDATE ON worker_profiles\n 94→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 95→\n 96→-- Jobs\n 97→CREATE TABLE jobs (\n 98→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 99→ company_id uuid NOT NULL REFERENCES companies ON DELETE CASCADE,\n 100→ title text NOT NULL,\n 101→ description text,\n 102→ trade text NOT NULL,\n 103→ location point,\n 104→ suburb text,\n 105→ site_address text,\n 106→ rate_min decimal,\n 107→ rate_max decimal,\n 108→ rate_type rate_type DEFAULT 'hourly',\n 109→ start_date date,\n 110→ duration text,\n 111→ workers_needed integer DEFAULT 1,\n 112→ certifications_required text[] DEFAULT '{}',\n 113→ status job_status DEFAULT 'draft',\n 114→ ai_generated boolean DEFAULT false,\n 115→ created_at timestamptz DEFAULT now(),\n 116→ updated_at timestamptz DEFAULT now()\n 117→);\n 118→\n 119→CREATE TRIGGER jobs_updated_at\n 120→ BEFORE UPDATE ON jobs\n 121→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 122→\n 123→-- Matches\n 124→CREATE TABLE matches (\n 125→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 126→ job_id uuid NOT NULL REFERENCES jobs ON DELETE CASCADE,\n 127→ worker_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 128→ status match_status DEFAULT 'suggested',\n 129→ match_score decimal,\n 130→ ai_summary text,\n 131→ contractor_action action_status DEFAULT 'pending',\n 132→ worker_action action_status DEFAULT 'pending',\n 133→ hired_at timestamptz,\n 134→ fee_charged boolean DEFAULT false,\n 135→ created_at timestamptz DEFAULT now(),\n 136→ updated_at timestamptz DEFAULT now(),\n 137→ UNIQUE (job_id, worker_id)\n 138→);\n 139→\n 140→CREATE TRIGGER matches_updated_at\n 141→ BEFORE UPDATE ON matches\n 142→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 143→\n 144→-- Ratings\n 145→CREATE TABLE ratings (\n 146→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 147→ match_id uuid NOT NULL REFERENCES matches ON DELETE CASCADE,\n 148→ from_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 149→ to_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 150→ score integer NOT NULL CHECK (score BETWEEN 1 AND 5),\n 151→ comment text,\n 152→ created_at timestamptz DEFAULT now(),\n 153→ UNIQUE (match_id, from_id)\n 154→);\n 155→\n 156→-- Payments\n 157→CREATE TABLE payments (\n 158→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 159→ match_id uuid NOT NULL REFERENCES matches ON DELETE CASCADE,\n 160→ company_id uuid NOT NULL REFERENCES companies ON DELETE CASCADE,\n 161→ amount decimal DEFAULT 50.00,\n 162→ status payment_status DEFAULT 'pending',\n 163→ stripe_payment_id text,\n 164→ created_at timestamptz DEFAULT now()\n 165→);\n 166→\n 167→-- Notifications\n 168→CREATE TABLE notifications (\n 169→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 170→ profile_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 171→ type notification_type NOT NULL,\n 172→ title text NOT NULL,\n 173→ body text,\n 174→ data jsonb,\n 175→ read boolean DEFAULT false,\n 176→ created_at timestamptz DEFAULT now()\n 177→);\n 178→\n 179→-- ============================================\n 180→-- INDEXES\n 181→-- ============================================\n 182→\n 183→CREATE INDEX idx_profiles_type ON profiles (type);\n 184→CREATE INDEX idx_profiles_suburb ON profiles (suburb);\n 185→\n 186→CREATE INDEX idx_companies_profile_id ON companies (profile_id);\n 187→CREATE INDEX idx_companies_abn ON companies (abn);\n 188→\n 189→CREATE INDEX idx_worker_profiles_profile_id ON worker_profiles (profile_id);\n 190→CREATE INDEX idx_worker_profiles_trades ON worker_profiles USING gin (trades);\n 191→CREATE INDEX idx_worker_profiles_availability ON worker_profiles (availability);\n 192→CREATE INDEX idx_worker_profiles_certifications ON worker_profiles USING gin (certifications);\n 193→\n 194→CREATE INDEX idx_jobs_company_id ON jobs (company_id);\n 195→CREATE INDEX idx_jobs_status ON jobs (status);\n 196→CREATE INDEX idx_jobs_trade ON jobs (trade);\n 197→CREATE INDEX idx_jobs_created_at ON jobs (created_at DESC);\n 198→CREATE INDEX idx_jobs_suburb ON jobs (suburb);\n 199→\n 200→CREATE INDEX idx_matches_job_id ON matches (job_id);\n 201→CREATE INDEX idx_matches_worker_id ON matches (worker_id);\n 202→CREATE INDEX idx_matches_status ON matches (status);\n 203→\n 204→CREATE INDEX idx_ratings_to_id ON ratings (to_id);\n 205→CREATE INDEX idx_ratings_from_id ON ratings (from_id);\n 206→\n 207→CREATE INDEX idx_payments_match_id ON payments (match_id);\n 208→CREATE INDEX idx_payments_company_id ON payments (company_id);\n 209→\n 210→CREATE INDEX idx_notifications_profile_id ON notifications (profile_id);\n 211→CREATE INDEX idx_notifications_read ON notifications (profile_id, read);\n 212→\n 213→-- ============================================\n 214→-- ROW LEVEL SECURITY\n 215→-- ============================================\n 216→\n 217→ALTER TABLE profiles ENABLE ROW LEVEL SECURITY;\n 218→ALTER TABLE companies ENABLE ROW LEVEL SECURITY;\n 219→ALTER TABLE worker_profiles ENABLE ROW LEVEL SECURITY;\n 220→ALTER TABLE jobs ENABLE ROW LEVEL SECURITY;\n 221→ALTER TABLE matches ENABLE ROW LEVEL SECURITY;\n 222→ALTER TABLE ratings ENABLE ROW LEVEL SECURITY;\n 223→ALTER TABLE payments ENABLE ROW LEVEL SECURITY;\n 224→ALTER TABLE notifications ENABLE ROW LEVEL SECURITY;\n 225→\n 226→-- Profiles: users can read all profiles, update their own\n 227→CREATE POLICY \"Public profiles are viewable by everyone\"\n 228→ ON profiles FOR SELECT\n 229→ USING (true);\n 230→\n 231→CREATE POLICY \"Users can update their own profile\"\n 232→ ON profiles FOR UPDATE\n 233→ USING (auth.uid() = id);\n 234→\n 235→CREATE POLICY \"Users can insert their own profile\"\n 236→ ON profiles FOR INSERT\n 237→ WITH CHECK (auth.uid() = id);\n 238→\n 239→-- Companies: viewable by everyone, editable by owner\n 240→CREATE POLICY \"Companies are viewable by everyone\"\n 241→ ON companies FOR SELECT\n 242→ USING (true);\n 243→\n 244→CREATE POLICY \"Contractors can insert their own company\"\n 245→ ON companies FOR INSERT\n 246→ WITH CHECK (profile_id = auth.uid());\n 247→\n 248→CREATE POLICY \"Contractors can update their own company\"\n 249→ ON companies FOR UPDATE\n 250→ USING (profile_id = auth.uid());\n 251→\n 252→-- Worker profiles: viewable by everyone, editable by owner\n 253→CREATE POLICY \"Worker profiles are viewable by everyone\"\n 254→ ON worker_profiles FOR SELECT\n 255→ USING (true);\n 256→\n 257→CREATE POLICY \"Workers can insert their own profile\"\n 258→ ON worker_profiles FOR INSERT\n 259→ WITH CHECK (profile_id = auth.uid());\n 260→\n 261→CREATE POLICY \"Workers can update their own profile\"\n 262→ ON worker_profiles FOR UPDATE\n 263→ USING (profile_id = auth.uid());\n 264→\n 265→-- Jobs: viewable by everyone, editable by company owner\n 266→CREATE POLICY \"Jobs are viewable by everyone\"\n 267→ ON jobs FOR SELECT\n 268→ USING (true);\n 269→\n 270→CREATE POLICY \"Contractors can insert jobs for their company\"\n 271→ ON jobs FOR INSERT\n 272→ WITH CHECK (\n 273→ company_id IN (\n 274→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 275→ )\n 276→ );\n 277→\n 278→CREATE POLICY \"Contractors can update their own jobs\"\n 279→ ON jobs FOR UPDATE\n 280→ USING (\n 281→ company_id IN (\n 282→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 283→ )\n 284→ );\n 285→\n 286→-- Matches: viewable by involved parties\n 287→CREATE POLICY \"Users can view their own matches\"\n 288→ ON matches FOR SELECT\n 289→ USING (\n 290→ worker_id = auth.uid() OR\n 291→ job_id IN (\n 292→ SELECT j.id FROM jobs j\n 293→ JOIN companies c ON j.company_id = c.id\n 294→ WHERE c.profile_id = auth.uid()\n 295→ )\n 296→ );\n 297→\n 298→CREATE POLICY \"System can insert matches\"\n 299→ ON matches FOR INSERT\n 300→ WITH CHECK (true);\n 301→\n 302→CREATE POLICY \"Involved parties can update matches\"\n 303→ ON matches FOR UPDATE\n 304→ USING (\n 305→ worker_id = auth.uid() OR\n 306→ job_id IN (\n 307→ SELECT j.id FROM jobs j\n 308→ JOIN companies c ON j.company_id = c.id\n 309→ WHERE c.profile_id = auth.uid()\n 310→ )\n 311→ );\n 312→\n 313→-- Ratings: viewable by everyone, insertable by match participants\n 314→CREATE POLICY \"Ratings are viewable by everyone\"\n 315→ ON ratings FOR SELECT\n 316→ USING (true);\n 317→\n 318→CREATE POLICY \"Match participants can insert ratings\"\n 319→ ON ratings FOR INSERT\n 320→ WITH CHECK (from_id = auth.uid());\n 321→\n 322→-- Payments: viewable by company owner\n 323→CREATE POLICY \"Company owners can view their payments\"\n 324→ ON payments FOR SELECT\n 325→ USING (\n 326→ company_id IN (\n 327→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 328→ )\n 329→ );\n 330→\n 331→CREATE POLICY \"System can insert payments\"\n 332→ ON payments FOR INSERT\n 333→ WITH CHECK (true);\n 334→\n 335→-- Notifications: users can only see their own\n 336→CREATE POLICY \"Users can view their own notifications\"\n 337→ ON notifications FOR SELECT\n 338→ USING (profile_id = auth.uid());\n 339→\n 340→CREATE POLICY \"System can insert notifications\"\n 341→ ON notifications FOR INSERT\n 342→ WITH CHECK (true);\n 343→\n 344→CREATE POLICY \"Users can update their own notifications\"\n 345→ ON notifications FOR UPDATE\n 346→ USING (profile_id = auth.uid());\n 347→\n 348→-- ============================================\n 349→-- FUNCTIONS\n 350→-- ============================================\n 351→\n 352→-- Auto-create profile on signup\n 353→-- Fixed: Now handles invalid/missing user_type gracefully (defaults to 'worker')\n 354→CREATE OR REPLACE FUNCTION public.handle_new_user()\n 355→RETURNS trigger AS $$\n 356→DECLARE\n 357→ v_user_type text;\n 358→ v_valid_type user_type;\n 359→BEGIN\n 360→ -- Get the user_type from metadata\n 361→ v_user_type := NEW.raw_user_meta_data->>'type';\n 362→\n 363→ -- Validate the user_type before casting (defaults to 'worker' if invalid)\n 364→ CASE v_user_type\n 365→ WHEN 'worker' THEN\n 366→ v_valid_type := 'worker'::user_type;\n 367→ WHEN 'contractor' THEN\n 368→ v_valid_type := 'contractor'::user_type;\n 369→ ELSE\n 370→ v_valid_type := 'worker'::user_type;\n 371→ END CASE;\n 372→\n 373→ INSERT INTO public.profiles (id, email, type)\n 374→ VALUES (\n 375→ NEW.id,\n 376→ NEW.email,\n 377→ v_valid_type\n 378→ );\n 379→\n 380→ RETURN NEW;\n 381→EXCEPTION\n 382→ WHEN OTHERS THEN\n 383→ RAISE WARNING 'handle_new_user() failed for user %: %', NEW.id, SQLERRM;\n 384→ RAISE;\n 385→END;\n 386→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 387→\n 388→CREATE OR REPLACE TRIGGER on_auth_user_created\n 389→ AFTER INSERT ON auth.users\n 390→ FOR EACH ROW EXECUTE FUNCTION public.handle_new_user();\n 391→\n 392→-- Average rating helper\n 393→CREATE OR REPLACE FUNCTION public.get_average_rating(user_id uuid)\n 394→RETURNS decimal AS $$\n 395→ SELECT COALESCE(AVG(score)::decimal, 0)\n 396→ FROM ratings\n 397→ WHERE to_id = user_id;\n 398→$$ LANGUAGE sql STABLE;\n 399→\n 400→-- Rating count helper\n 401→CREATE OR REPLACE FUNCTION public.get_rating_count(user_id uuid)\n 402→RETURNS integer AS $$\n 403→ SELECT COUNT(*)::integer\n 404→ FROM ratings\n 405→ WHERE to_id = user_id;\n 406→$$ LANGUAGE sql STABLE;\n 407→\n 408→-- ============================================\n 409→-- MATCHING FUNCTIONS (DB-SIDE SCORING)\n 410→-- ============================================\n 411→\n 412→-- RPC FUNCTION: find_matching_workers\n 413→-- Calculates match scores in the database for scalability\n 414→-- Scoring: trade (40%), availability (20%), experience (15%), \n 415→-- certifications (15%), location (10%), ratings (10%)\n 416→CREATE OR REPLACE FUNCTION find_matching_workers(\n 417→ p_job_id uuid,\n 418→ p_limit integer DEFAULT 20,\n 419→ p_min_score integer DEFAULT 20\n 420→)\n 421→RETURNS TABLE (\n 422→ worker_id uuid,\n 423→ score integer,\n 424→ summary text,\n 425→ reasons text[],\n 426→ profile jsonb\n 427→) AS $$\n 428→DECLARE\n 429→ v_job_record RECORD;\n 430→ v_job_location point;\n 431→BEGIN\n 432→ -- Get job details once\n 433→ SELECT \n 434→ j.id,\n 435→ j.trade,\n 436→ j.certifications_required,\n 437→ j.start_date,\n 438→ j.duration,\n 439→ j.suburb,\n 440→ j.location,\n 441→ j.company_id\n 442→ INTO v_job_record\n 443→ FROM jobs j\n 444→ WHERE j.id = p_job_id AND j.status = 'active';\n 445→\n 446→ -- Return empty if job not found or not active\n 447→ IF v_job_record IS NULL THEN\n 448→ RETURN;\n 449→ END IF;\n 450→\n 451→ v_job_location := v_job_record.location;\n 452→\n 453→ RETURN QUERY\n 454→ WITH \n 455→ -- Get existing matches to exclude\n 456→ existing_matches AS (\n 457→ SELECT m.worker_id AS excluded_worker_id\n 458→ FROM matches m\n 459→ WHERE m.job_id = p_job_id\n 460→ ),\n 461→ -- Calculate average ratings per worker\n 462→ worker_ratings AS (\n 463→ SELECT \n 464→ r.to_id AS rating_worker_id,\n 465→ AVG(r.score)::decimal AS avg_rating,\n 466→ COUNT(*)::integer AS rating_count\n 467→ FROM ratings r\n 468→ GROUP BY r.to_id\n 469→ ),\n 470→ -- Score each worker\n 471→ scored_workers AS (\n 472→ SELECT \n 473→ p.id AS worker_profile_id,\n 474→ p.name AS worker_name,\n 475→ p.suburb AS worker_suburb,\n 476→ p.location AS worker_location,\n 477→ wp.trades AS worker_trades,\n 478→ wp.availability AS worker_availability,\n 479→ wp.experience_years,\n 480→ wp.certifications AS worker_certs,\n 481→ wp.bio,\n 482→ wp.white_card_verified,\n 483→ -- Trade match score (40 points max)\n 484→ CASE \n 485→ WHEN v_job_record.trade = ANY(wp.trades) THEN 40\n 486→ WHEN 'Labourer' = ANY(wp.trades) THEN 10\n 487→ -- Related trade groups\n 488→ WHEN v_job_record.trade IN ('Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder')\n 489→ AND wp.trades && ARRAY['Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder']::text[] THEN 15\n 490→ WHEN v_job_record.trade IN ('Painter', 'Tiler', 'Plasterer')\n 491→ AND wp.trades && ARRAY['Painter', 'Tiler', 'Plasterer']::text[] THEN 15\n 492→ WHEN v_job_record.trade IN ('Electrician', 'Plumber')\n 493→ AND wp.trades && ARRAY['Electrician', 'Plumber']::text[] THEN 15\n 494→ WHEN v_job_record.trade IN ('Crane Operator', 'Excavator Operator')\n 495→ AND wp.trades && ARRAY['Crane Operator', 'Excavator Operator']::text[] THEN 15\n 496→ WHEN v_job_record.trade IN ('Bricklayer', 'Roofer', 'Welder')\n 497→ AND wp.trades && ARRAY['Bricklayer', 'Roofer', 'Welder']::text[] THEN 15\n 498→ ELSE 0\n 499→ END AS trade_score,\n 500→ -- Availability score (20 points max)\n 501→ CASE wp.availability\n 502→ WHEN 'flexible' THEN 20\n 503→ WHEN 'full-time' THEN 18\n 504→ WHEN 'casual' THEN 12\n 505→ WHEN 'weekends' THEN 8\n 506→ ELSE 0\n 507→ END AS availability_score,\n 508→ -- Experience score (15 points max)\n 509→ CASE \n 510→ WHEN wp.experience_years >= 10 THEN 15\n 511→ WHEN wp.experience_years >= 7 THEN 13\n 512→ WHEN wp.experience_years >= 4 THEN 11\n 513→ WHEN wp.experience_years >= 2 THEN 8\n 514→ WHEN wp.experience_years >= 1 THEN 5\n 515→ WHEN wp.experience_years IS NOT NULL THEN 2\n 516→ ELSE 0\n 517→ END AS experience_score,\n 518→ -- Certifications score (15 points max)\n 519→ CASE \n 520→ WHEN array_length(v_job_record.certifications_required, 1) IS NULL \n 521→ OR array_length(v_job_record.certifications_required, 1) = 0 THEN 15\n 522→ ELSE \n 523→ ROUND(\n 524→ (\n 525→ COALESCE(\n 526→ array_length(\n 527→ ARRAY(\n 528→ SELECT unnest(v_job_record.certifications_required)\n 529→ INTERSECT\n 530→ SELECT unnest(wp.certifications)\n 531→ ),\n 532→ 1\n 533→ ),\n 534→ 0\n 535→ )::decimal / \n 536→ array_length(v_job_record.certifications_required, 1)\n 537→ ) * 15\n 538→ )\n 539→ END AS cert_score,\n 540→ -- Location score (10 points max) - uses point distance\n 541→ CASE \n 542→ WHEN v_job_location IS NULL OR p.location IS NULL THEN 0\n 543→ WHEN p.location <-> v_job_location < 0.01 THEN 10 -- Same area (~1km)\n 544→ WHEN p.location <-> v_job_location < 0.05 THEN 7 -- Nearby (~5km)\n 545→ WHEN p.location <-> v_job_location < 0.1 THEN 5 -- Same region (~10km)\n 546→ WHEN p.suburb = v_job_record.suburb THEN 10 -- Exact suburb match (fallback)\n 547→ WHEN p.suburb ILIKE '%' || v_job_record.suburb || '%' \n 548→ OR v_job_record.suburb ILIKE '%' || p.suburb || '%' THEN 7\n 549→ ELSE 0\n 550→ END AS location_score,\n 551→ -- Rating score (10 points max)\n 552→ COALESCE(\n 553→ ROUND((wr.avg_rating / 5.0) * 10),\n 554→ 0\n 555→ ) AS rating_score,\n 556→ wr.avg_rating,\n 557→ wr.rating_count\n 558→ FROM profiles p\n 559→ INNER JOIN worker_profiles wp ON wp.profile_id = p.id\n 560→ LEFT JOIN worker_ratings wr ON wr.rating_worker_id = p.id\n 561→ WHERE \n 562→ p.onboarding_completed = true\n 563→ AND p.type = 'worker'\n 564→ AND p.id NOT IN (SELECT excluded_worker_id FROM existing_matches)\n 565→ ),\n 566→ -- Calculate total score and build reasons\n 567→ final_scores AS (\n 568→ SELECT \n 569→ sw.*,\n 570→ (sw.trade_score + sw.availability_score + sw.experience_score + \n 571→ sw.cert_score + sw.location_score + sw.rating_score) AS total_score,\n 572→ -- Build reasons array\n 573→ ARRAY_REMOVE(ARRAY[\n 574→ CASE WHEN sw.trade_score = 40 THEN 'Trades as ' || v_job_record.trade\n 575→ WHEN sw.trade_score = 15 THEN 'Related trade experience'\n 576→ WHEN sw.trade_score = 10 THEN 'General labourer available'\n 577→ ELSE NULL END,\n 578→ CASE WHEN sw.availability_score > 0 THEN 'Available ' || sw.worker_availability ELSE NULL END,\n 579→ CASE WHEN sw.experience_score > 0 THEN sw.experience_years || '+ years experience' ELSE NULL END,\n 580→ CASE WHEN sw.cert_score > 0 AND array_length(v_job_record.certifications_required, 1) > 0 \n 581→ THEN 'Has required certifications' ELSE NULL END,\n 582→ CASE WHEN sw.location_score > 0 THEN 'Based in ' || sw.worker_suburb ELSE NULL END,\n 583→ CASE WHEN sw.rating_score >= 8 THEN ROUND(sw.avg_rating::numeric, 1) || ' star rating' ELSE NULL END\n 584→ ], NULL) AS match_reasons\n 585→ FROM scored_workers sw\n 586→ )\n 587→ SELECT \n 588→ fs.worker_profile_id,\n 589→ LEAST(fs.total_score, 100) AS score,\n 590→ array_to_string(fs.match_reasons[:3], '. ') || '.' AS summary,\n 591→ fs.match_reasons AS reasons,\n 592→ jsonb_build_object(\n 593→ 'id', fs.worker_profile_id,\n 594→ 'name', fs.worker_name,\n 595→ 'suburb', fs.worker_suburb,\n 596→ 'trades', fs.worker_trades,\n 597→ 'experience_years', fs.experience_years,\n 598→ 'availability', fs.worker_availability,\n 599→ 'certifications', fs.worker_certs,\n 600→ 'bio', fs.bio,\n 601→ 'white_card_verified', fs.white_card_verified,\n 602→ 'avg_rating', COALESCE(fs.avg_rating, 0),\n 603→ 'rating_count', COALESCE(fs.rating_count, 0)\n 604→ ) AS profile\n 605→ FROM final_scores fs\n 606→ WHERE fs.total_score >= p_min_score\n 607→ ORDER BY fs.total_score DESC, fs.experience_years DESC NULLS LAST\n 608→ LIMIT p_limit;\n 609→END;\n 610→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 611→\n 612→-- Grant execute permission to authenticated users\n 613→GRANT EXECUTE ON FUNCTION find_matching_workers(uuid, integer, integer) TO authenticated;\n 614→GRANT EXECUTE ON FUNCTION find_matching_workers(uuid, integer, integer) TO service_role;\n 615→\n 616→-- ============================================\n 617→-- MATCHING PERFORMANCE INDEXES\n 618→-- ============================================\n 619→\n 620→-- GiST index for efficient geospatial distance calculations on worker locations\n 621→CREATE INDEX IF NOT EXISTS idx_profiles_location ON profiles USING gist (location) WHERE type = 'worker';\n 622→\n 623→-- Covering index for worker profile lookups during matching\n 624→CREATE INDEX IF NOT EXISTS idx_worker_profiles_lookup ON worker_profiles (profile_id, availability, experience_years) INCLUDE (trades, certifications, bio);\n 625→\n\n\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\n"}]},"uuid":"b9d1eec5-2ca2-4419-8353-4d7fb5cb0287","timestamp":"2026-02-10T05:47:36.410Z","sourceToolAssistantUUID":"6a108d41-c83a-4b18-abe0-562b01e43769"}
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{"parentUuid":"475acbf7-cebf-4ea3-9bab-f91720f30b4e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012QXpiJuVUkE2YthDmaboGJ","type":"tool_result","content":" 1→-- ============================================\n 2→-- CRITICAL FIX: RLS INSERT POLICIES FOR MATCHES + PAYMENTS\n 3→-- Audit Item C5: Fix RLS INSERT policies — matches + payments allow ANY user to insert (WITH CHECK true)\n 4→-- ============================================\n 5→-- Date: 2026-02-07\n 6→-- Priority: CRITICAL\n 7→-- ============================================\n 8→\n 9→-- ============================================\n 10→-- PROBLEM ANALYSIS\n 11→-- ============================================\n 12→-- Current issue: Both matches and payments tables have INSERT policies with WITH CHECK (true)\n 13→-- This means ANY authenticated user can insert records into these tables\n 14→-- \n 15→-- Security impact:\n 16→-- 1. Users could insert fake matches between any job and worker\n 17→-- 2. Users could insert fake payment records\n 18→-- 3. Financial fraud, data corruption, system abuse\n 19→-- \n 20→-- Correct behavior:\n 21→-- 1. matches INSERT: Only workers (applying) or contractors (inviting) for their own jobs\n 22→-- 2. payments INSERT: Only system/service role when match is hired\n 23→-- ============================================\n 24→\n 25→-- ============================================\n 26→-- 1. FIX MATCHES TABLE INSERT POLICY\n 27→-- ============================================\n 28→\n 29→-- Drop the dangerous policy\n 30→DROP POLICY IF EXISTS \"System can insert matches\" ON matches;\n 31→\n 32→-- Create secure INSERT policy for matches\n 33→-- Allows:\n 34→-- 1. Workers to apply for jobs (worker_id must be their own ID)\n 35→-- 2. Contractors to suggest matches for their own jobs\n 36→-- 3. Service role (system) for automated matching\n 37→CREATE POLICY \"Secure matches insert\"\n 38→ ON matches FOR INSERT\n 39→ WITH CHECK (\n 40→ -- Worker applying for a job\n 41→ (worker_id = auth.uid() AND status = 'applied')\n 42→ OR\n 43→ -- Contractor suggesting a worker for their job\n 44→ (\n 45→ job_id IN (\n 46→ SELECT j.id FROM jobs j\n 47→ JOIN companies c ON j.company_id = c.id\n 48→ WHERE c.profile_id = auth.uid()\n 49→ )\n 50→ AND status = 'suggested'\n 51→ )\n 52→ OR\n 53→ -- System/service role (for automated matching)\n 54→ (auth.jwt() ->> 'role' = 'service_role')\n 55→ );\n 56→\n 57→-- ============================================\n 58→-- 2. FIX PAYMENTS TABLE INSERT POLICY\n 59→-- ============================================\n 60→\n 61→-- Drop the dangerous policy\n 62→DROP POLICY IF EXISTS \"System can insert payments\" ON payments;\n 63→\n 64→-- Create secure INSERT policy for payments\n 65→-- Only system/service role can insert payments, and only for hired matches\n 66→CREATE POLICY \"Secure payments insert\"\n 67→ ON payments FOR INSERT\n 68→ WITH CHECK (\n 69→ -- Must be service role\n 70→ (auth.jwt() ->> 'role' = 'service_role')\n 71→ AND\n 72→ -- Payment must be for a hired match\n 73→ EXISTS (\n 74→ SELECT 1 FROM matches \n 75→ WHERE id = match_id AND status = 'hired'\n 76→ )\n 77→ AND\n 78→ -- Payment company must own the job\n 79→ EXISTS (\n 80→ SELECT 1 FROM matches m\n 81→ JOIN jobs j ON m.job_id = j.id\n 82→ WHERE m.id = match_id AND j.company_id = company_id\n 83→ )\n 84→ );\n 85→\n 86→-- ============================================\n 87→-- 3. ADD DATA VALIDATION TRIGGER FOR PAYMENTS\n 88→-- ============================================\n 89→\n 90→-- Ensure payments are only created for valid hired matches\n 91→CREATE OR REPLACE FUNCTION validate_payment_creation()\n 92→RETURNS trigger AS $$\n 93→BEGIN\n 94→ -- Verify match is hired\n 95→ IF NOT EXISTS (\n 96→ SELECT 1 FROM matches \n 97→ WHERE id = NEW.match_id AND status = 'hired'\n 98→ ) THEN\n 99→ RAISE EXCEPTION 'Payments can only be created for hired matches (match status must be \"hired\")';\n 100→ END IF;\n 101→ \n 102→ -- Verify company owns the job\n 103→ IF NOT EXISTS (\n 104→ SELECT 1 FROM matches m\n 105→ JOIN jobs j ON m.job_id = j.id\n 106→ WHERE m.id = NEW.match_id AND j.company_id = NEW.company_id\n 107→ ) THEN\n 108→ RAISE EXCEPTION 'Payment company must own the job associated with the match';\n 109→ END IF;\n 110→ \n 111→ RETURN NEW;\n 112→END;\n 113→$$ LANGUAGE plpgsql;\n 114→\n 115→-- Drop existing trigger if any\n 116→DROP TRIGGER IF EXISTS validate_payment_creation_trigger ON payments;\n 117→\n 118→-- Create trigger\n 119→CREATE TRIGGER validate_payment_creation_trigger\n 120→ BEFORE INSERT ON payments\n 121→ FOR EACH ROW EXECUTE FUNCTION validate_payment_creation();\n 122→\n 123→-- ============================================\n 124→-- 4. UPDATE APPLICATION LOGIC RECOMMENDATIONS\n 125→-- ============================================\n 126→\n 127→-- Note for developers: Application code should now:\n 128→-- 1. Use service role key for server-side operations\n 129→-- 2. Handle match creation through proper workflows:\n 130→-- - Worker apply: Frontend calls API, API validates worker owns worker_id\n 131→-- - Contractor invite: Frontend calls API, API validates contractor owns job\n 132→-- - System matching: Background job uses service role\n 133→-- 3. Payment creation: Only through server-side after Stripe success\n 134→\n 135→-- ============================================\n 136→-- 5. VERIFICATION QUERIES (RUN AFTER MIGRATION)\n 137→-- ============================================\n 138→\n 139→/*\n 140→-- Check the new policies\n 141→SELECT \n 142→ tablename,\n 143→ policyname,\n 144→ cmd,\n 145→ qual,\n 146→ with_check\n 147→FROM pg_policies \n 148→WHERE tablename IN ('matches', 'payments')\n 149→ORDER BY tablename, policyname;\n 150→\n 151→-- Test: Try to insert a match as a regular user (should fail without proper conditions)\n 152→-- INSERT INTO matches (job_id, worker_id, status) \n 153→-- VALUES ('some-job-id', 'some-worker-id', 'suggested');\n 154→\n 155→-- Test: Try to insert a payment as a regular user (should always fail)\n 156→-- INSERT INTO payments (match_id, company_id, amount) \n 157→-- VALUES ('some-match-id', 'some-company-id', 50.00);\n 158→*/\n 159→\n 160→-- ============================================\n 161→-- 6. ROLLBACK SCRIPT (IN CASE OF ISSUES)\n 162→-- ============================================\n 163→/*\n 164→-- Rollback to original (insecure) policies:\n 165→DROP POLICY IF EXISTS \"Secure matches insert\" ON matches;\n 166→DROP POLICY IF EXISTS \"Secure payments insert\" ON payments;\n 167→DROP TRIGGER IF EXISTS validate_payment_creation_trigger ON payments;\n 168→DROP FUNCTION IF EXISTS validate_payment_creation;\n 169→\n 170→-- Recreate original policies (INSECURE - FOR EMERGENCY ONLY):\n 171→CREATE POLICY \"System can insert matches\"\n 172→ ON matches FOR INSERT\n 173→ WITH CHECK (true);\n 174→\n 175→CREATE POLICY \"System can insert payments\"\n 176→ ON payments FOR INSERT\n 177→ WITH CHECK (true);\n 178→*/\n 179→\n\n\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\n"}]},"uuid":"7acecb3b-e9d7-4fb0-828c-9e25424e1d5b","timestamp":"2026-02-10T05:47:36.933Z","sourceToolAssistantUUID":"475acbf7-cebf-4ea3-9bab-f91720f30b4e"}
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{"parentUuid":"998fdd6d-1675-4302-96c8-47fa08601a0b","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EwtUHn9S7rCvKesxrTXvMs","type":"tool_result","content":" 1→-- ============================================\n 2→-- FIX CRITICAL RLS POLICIES - Audit Item C5\n 3→-- ============================================\n 4→-- Fix: matches + payments allow ANY user to insert (WITH CHECK true)\n 5→-- Date: 2026-02-07\n 6→-- ============================================\n 7→\n 8→-- ============================================\n 9→-- 1. DROP PROBLEMATIC POLICIES\n 10→-- ============================================\n 11→\n 12→-- Drop the overly permissive INSERT policies\n 13→DROP POLICY IF EXISTS \"System can insert matches\" ON matches;\n 14→DROP POLICY IF EXISTS \"System can insert payments\" ON payments;\n 15→\n 16→-- ============================================\n 17→-- 2. CREATE SECURE INSERT POLICIES FOR MATCHES\n 18→-- ============================================\n 19→\n 20→-- Option A: Only system/service role can insert matches\n 21→-- This is the most secure option - matches should only be created by:\n 22→-- 1. System algorithms suggesting matches\n 23→-- 2. Workers applying for jobs (but this should go through an API endpoint)\n 24→-- 3. Contractors inviting workers (but this should go through an API endpoint)\n 25→\n 26→-- For now, we'll create a policy that allows:\n 27→-- 1. Workers to apply for jobs (insert matches where they are the worker)\n 28→-- 2. Contractors to invite workers to their jobs\n 29→-- 3. System/service role (using service key, not JWT)\n 30→\n 31→CREATE POLICY \"Workers can apply for jobs\"\n 32→ ON matches FOR INSERT\n 33→ WITH CHECK (\n 34→ -- Worker applying for a job\n 35→ (worker_id = auth.uid() AND status = 'applied')\n 36→ OR\n 37→ -- Contractor inviting a worker to their job\n 38→ (\n 39→ job_id IN (\n 40→ SELECT j.id FROM jobs j\n 41→ JOIN companies c ON j.company_id = c.id\n 42→ WHERE c.profile_id = auth.uid()\n 43→ )\n 44→ AND status = 'suggested'\n 45→ )\n 46→ OR\n 47→ -- System/service role (using service key)\n 48→ (auth.jwt() ->> 'role' = 'service_role')\n 49→ );\n 50→\n 51→-- ============================================\n 52→-- 3. CREATE SECURE INSERT POLICIES FOR PAYMENTS\n 53→-- ============================================\n 54→\n 55→-- Payments should ONLY be created by:\n 56→-- 1. System when a match is hired (status changes to 'hired')\n 57→-- 2. System/service role (using service key)\n 58→\n 59→CREATE POLICY \"System can insert payments for hired matches\"\n 60→ ON payments FOR INSERT\n 61→ WITH CHECK (\n 62→ -- Only system/service role can insert payments\n 63→ (auth.jwt() ->> 'role' = 'service_role')\n 64→ AND\n 65→ -- Payment must be for a hired match\n 66→ match_id IN (\n 67→ SELECT id FROM matches WHERE status = 'hired'\n 68→ )\n 69→ AND\n 70→ -- Payment company must match the job's company\n 71→ company_id IN (\n 72→ SELECT j.company_id FROM matches m\n 73→ JOIN jobs j ON m.job_id = j.id\n 74→ WHERE m.id = match_id\n 75→ )\n 76→ );\n 77→\n 78→-- ============================================\n 79→-- 4. ADDITIONAL SECURITY MEASURES\n 80→-- ============================================\n 81→\n 82→-- Add a trigger to ensure payments are only created for hired matches\n 83→CREATE OR REPLACE FUNCTION validate_payment_match()\n 84→RETURNS trigger AS $$\n 85→BEGIN\n 86→ -- Check if the match is actually hired\n 87→ IF NOT EXISTS (\n 88→ SELECT 1 FROM matches \n 89→ WHERE id = NEW.match_id AND status = 'hired'\n 90→ ) THEN\n 91→ RAISE EXCEPTION 'Payments can only be created for hired matches';\n 92→ END IF;\n 93→ \n 94→ -- Check if the company_id matches the job's company\n 95→ IF NOT EXISTS (\n 96→ SELECT 1 FROM matches m\n 97→ JOIN jobs j ON m.job_id = j.id\n 98→ WHERE m.id = NEW.match_id AND j.company_id = NEW.company_id\n 99→ ) THEN\n 100→ RAISE EXCEPTION 'Payment company must match the job company';\n 101→ END IF;\n 102→ \n 103→ RETURN NEW;\n 104→END;\n 105→$$ LANGUAGE plpgsql;\n 106→\n 107→DROP TRIGGER IF EXISTS validate_payment_match_trigger ON payments;\n 108→CREATE TRIGGER validate_payment_match_trigger\n 109→ BEFORE INSERT ON payments\n 110→ FOR EACH ROW EXECUTE FUNCTION validate_payment_match();\n 111→\n 112→-- ============================================\n 113→-- 5. UPDATE EXISTING POLICIES FOR CONSISTENCY\n 114→-- ============================================\n 115→\n 116→-- Update matches UPDATE policy to be more restrictive\n 117→DROP POLICY IF EXISTS \"Involved parties can update matches\" ON matches;\n 118→\n 119→CREATE POLICY \"Involved parties can update match status\"\n 120→ ON matches FOR UPDATE\n 121→ USING (\n 122→ -- Worker can update their own application status\n 123→ (worker_id = auth.uid() AND OLD.status IN ('suggested', 'applied'))\n 124→ OR\n 125→ -- Contractor can update matches for their jobs\n 126→ (\n 127→ job_id IN (\n 128→ SELECT j.id FROM jobs j\n 129→ JOIN companies c ON j.company_id = c.id\n 130→ WHERE c.profile_id = auth.uid()\n 131→ )\n 132→ AND OLD.status IN ('suggested', 'applied')\n 133→ )\n 134→ OR\n 135→ -- System can update any match\n 136→ (auth.jwt() ->> 'role' = 'service_role')\n 137→ )\n 138→ WITH CHECK (\n 139→ -- Ensure status transitions are valid\n 140→ (\n 141→ -- Worker can only accept/reject suggestions\n 142→ (worker_id = auth.uid() AND NEW.status IN ('accepted', 'rejected'))\n 143→ OR\n 144→ -- Contractor can only accept/reject applications\n 145→ (\n 146→ job_id IN (\n 147→ SELECT j.id FROM jobs j\n 148→ JOIN companies c ON j.company_id = c.id\n 149→ WHERE c.profile_id = auth.uid()\n 150→ )\n 151→ AND NEW.status IN ('accepted', 'rejected')\n 152→ )\n 153→ OR\n 154→ -- System can set to hired (after payment)\n 155→ (NEW.status = 'hired' AND auth.jwt() ->> 'role' = 'service_role')\n 156→ OR\n 157→ -- Status stays the same (other fields updated)\n 158→ (NEW.status = OLD.status)\n 159→ )\n 160→ );\n 161→\n 162→-- ============================================\n 163→-- 6. VERIFICATION QUERIES\n 164→-- ============================================\n 165→\n 166→-- Check current policies\n 167→SELECT \n 168→ schemaname,\n 169→ tablename,\n 170→ policyname,\n 171→ permissive,\n 172→ roles,\n 173→ cmd,\n 174→ qual,\n 175→ with_check\n 176→FROM pg_policies \n 177→WHERE tablename IN ('matches', 'payments')\n 178→ORDER BY tablename, policyname;\n 179→\n 180→-- Test data integrity\n 181→SELECT \n 182→ 'Matches with invalid status transitions' as check_name,\n 183→ COUNT(*) as issues\n 184→FROM matches\n 185→WHERE status NOT IN ('suggested', 'applied', 'accepted', 'rejected', 'hired')\n 186→UNION ALL\n 187→SELECT \n 188→ 'Payments for non-hired matches' as check_name,\n 189→ COUNT(*) as issues\n 190→FROM payments p\n 191→LEFT JOIN matches m ON p.match_id = m.id\n 192→WHERE m.status != 'hired' OR m.id IS NULL;\n\n\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\n"}]},"uuid":"7f851f53-5053-4935-a269-5086299e47f2","timestamp":"2026-02-10T05:47:37.382Z","sourceToolAssistantUUID":"998fdd6d-1675-4302-96c8-47fa08601a0b"}
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{"parentUuid":"b87cac8d-946d-464e-9e51-43cf30c69172","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HBy8ekFfthoMXMCFHaohw6","type":"tool_result","content":" 1→-- ============================================\n 2→-- TEST CURRENT RLS POLICIES\n 3→-- ============================================\n 4→-- Run this in Supabase SQL Editor to check current policies\n 5→-- ============================================\n 6→\n 7→-- 1. Check all policies on matches and payments tables\n 8→SELECT \n 9→ schemaname,\n 10→ tablename,\n 11→ policyname,\n 12→ permissive,\n 13→ roles,\n 14→ cmd,\n 15→ qual,\n 16→ with_check\n 17→FROM pg_policies \n 18→WHERE tablename IN ('matches', 'payments')\n 19→ORDER BY tablename, policyname;\n 20→\n 21→-- 2. Check if RLS is enabled\n 22→SELECT \n 23→ schemaname,\n 24→ tablename,\n 25→ rowsecurity\n 26→FROM pg_tables\n 27→WHERE tablename IN ('matches', 'payments');\n 28→\n 29→-- 3. Test data (sample queries to understand current state)\n 30→SELECT COUNT(*) as total_matches FROM matches;\n 31→SELECT COUNT(*) as total_payments FROM payments;\n 32→\n 33→SELECT \n 34→ status,\n 35→ COUNT(*) as count\n 36→FROM matches\n 37→GROUP BY status\n 38→ORDER BY count DESC;\n 39→\n 40→SELECT \n 41→ status,\n 42→ COUNT(*) as count\n 43→FROM payments\n 44→GROUP BY status\n 45→ORDER BY count DESC;\n 46→\n 47→-- 4. Check recent activity\n 48→SELECT \n 49→ 'matches' as table_name,\n 50→ COUNT(*) as last_24h_count\n 51→FROM matches\n 52→WHERE created_at > NOW() - INTERVAL '24 hours'\n 53→UNION ALL\n 54→SELECT \n 55→ 'payments' as table_name,\n 56→ COUNT(*) as last_24h_count\n 57→FROM payments\n 58→WHERE created_at > NOW() - INTERVAL '24 hours';\n 59→\n 60→-- 5. Check for potential abuse (multiple inserts from same user)\n 61→SELECT \n 62→ worker_id,\n 63→ COUNT(*) as match_count,\n 64→ MIN(created_at) as first_match,\n 65→ MAX(created_at) as last_match\n 66→FROM matches\n 67→GROUP BY worker_id\n 68→HAVING COUNT(*) > 10\n 69→ORDER BY match_count DESC\n 70→LIMIT 10;\n 71→\n 72→-- 6. Check payments without hired matches (potential fraud)\n 73→SELECT \n 74→ p.id as payment_id,\n 75→ p.match_id,\n 76→ p.amount,\n 77→ p.status as payment_status,\n 78→ p.created_at as payment_created,\n 79→ m.status as match_status,\n 80→ m.hired_at\n 81→FROM payments p\n 82→LEFT JOIN matches m ON p.match_id = m.id\n 83→WHERE m.status != 'hired' OR m.id IS NULL\n 84→ORDER BY p.created_at DESC;\n 85→\n 86→-- ============================================\n 87→-- SIMPLE FIX FOR IMMEDIATE DEPLOYMENT\n 88→-- ============================================\n 89→-- If the application is breaking, use this minimal fix\n 90→-- instead of the full secure policies\n 91→\n 92→/*\n 93→-- Minimal fix: Allow contractors to insert payments for their matches\n 94→DROP POLICY IF EXISTS \"System can insert payments\" ON payments;\n 95→\n 96→CREATE POLICY \"Contractors can insert payments for their hired matches\"\n 97→ ON payments FOR INSERT\n 98→ WITH CHECK (\n 99→ -- Contractor owns the company\n 100→ company_id IN (\n 101→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 102→ )\n 103→ AND\n 104→ -- Match is hired\n 105→ EXISTS (\n 106→ SELECT 1 FROM matches \n 107→ WHERE id = match_id AND status = 'hired'\n 108→ )\n 109→ AND\n 110→ -- Match belongs to contractor's job\n 111→ EXISTS (\n 112→ SELECT 1 FROM matches m\n 113→ JOIN jobs j ON m.job_id = j.id\n 114→ WHERE m.id = match_id AND j.company_id = company_id\n 115→ )\n 116→ );\n 117→\n 118→-- Keep the original matches policy (workers can apply)\n 119→-- This should already work with: worker_id = auth.uid() AND status = 'applied'\n 120→*/\n 121→\n\n\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\n"}]},"uuid":"4e7a6cc8-8cac-4229-8c84-ed7f75af9703","timestamp":"2026-02-10T05:47:37.827Z","sourceToolAssistantUUID":"b87cac8d-946d-464e-9e51-43cf30c69172"}
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{"parentUuid":"e3e31b6b-bf30-4098-984d-58dabb106431","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NJ1Z4A6mrmT1ifTgAWEFmH","type":"tool_result","content":" 1→-- Messaging system for RateRight v2\n 2→-- Creates tables for conversations and messages\n 3→\n 4→-- Conversations table to group messages between users\n 5→CREATE TABLE conversations (\n 6→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 7→ created_at timestamptz DEFAULT now(),\n 8→ updated_at timestamptz DEFAULT now()\n 9→);\n 10→\n 11→-- Conversation participants\n 12→CREATE TABLE conversation_participants (\n 13→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 14→ conversation_id uuid NOT NULL REFERENCES conversations ON DELETE CASCADE,\n 15→ profile_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 16→ last_read_at timestamptz,\n 17→ created_at timestamptz DEFAULT now(),\n 18→ UNIQUE (conversation_id, profile_id)\n 19→);\n 20→\n 21→-- Messages table\n 22→CREATE TABLE messages (\n 23→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 24→ conversation_id uuid NOT NULL REFERENCES conversations ON DELETE CASCADE,\n 25→ sender_id uuid NOT NULL REFERENCES profiles ON DELETE CASCADE,\n 26→ content text NOT NULL,\n 27→ attachments jsonb DEFAULT '[]',\n 28→ status text DEFAULT 'sent' CHECK (status IN ('sent', 'delivered', 'read')),\n 29→ created_at timestamptz DEFAULT now(),\n 30→ updated_at timestamptz DEFAULT now()\n 31→);\n 32→\n 33→-- Indexes for performance\n 34→CREATE INDEX idx_conversation_participants_conversation_id ON conversation_participants (conversation_id);\n 35→CREATE INDEX idx_conversation_participants_profile_id ON conversation_participants (profile_id);\n 36→CREATE INDEX idx_messages_conversation_id ON messages (conversation_id);\n 37→CREATE INDEX idx_messages_sender_id ON messages (sender_id);\n 38→CREATE INDEX idx_messages_created_at ON messages (created_at DESC);\n 39→\n 40→-- Row Level Security\n 41→ALTER TABLE conversations ENABLE ROW LEVEL SECURITY;\n 42→ALTER TABLE conversation_participants ENABLE ROW LEVEL SECURITY;\n 43→ALTER TABLE messages ENABLE ROW LEVEL SECURITY;\n 44→\n 45→-- Conversations: participants can view their conversations\n 46→CREATE POLICY \"Users can view their own conversations\"\n 47→ ON conversations FOR SELECT\n 48→ USING (\n 49→ id IN (\n 50→ SELECT conversation_id FROM conversation_participants\n 51→ WHERE profile_id = auth.uid()\n 52→ )\n 53→ );\n 54→\n 55→-- Conversation participants: participants can view participants of their conversations\n 56→CREATE POLICY \"Users can view participants of their conversations\"\n 57→ ON conversation_participants FOR SELECT\n 58→ USING (\n 59→ conversation_id IN (\n 60→ SELECT conversation_id FROM conversation_participants\n 61→ WHERE profile_id = auth.uid()\n 62→ )\n 63→ );\n 64→\n 65→CREATE POLICY \"Users can insert conversation participants\"\n 66→ ON conversation_participants FOR INSERT\n 67→ WITH CHECK (profile_id = auth.uid());\n 68→\n 69→CREATE POLICY \"Users can update their own participant record\"\n 70→ ON conversation_participants FOR UPDATE\n 71→ USING (profile_id = auth.uid());\n 72→\n 73→-- Messages: participants can view messages in their conversations\n 74→CREATE POLICY \"Users can view messages in their conversations\"\n 75→ ON messages FOR SELECT\n 76→ USING (\n 77→ conversation_id IN (\n 78→ SELECT conversation_id FROM conversation_participants\n 79→ WHERE profile_id = auth.uid()\n 80→ )\n 81→ );\n 82→\n 83→CREATE POLICY \"Users can send messages in their conversations\"\n 84→ ON messages FOR INSERT\n 85→ WITH CHECK (\n 86→ sender_id = auth.uid() AND\n 87→ conversation_id IN (\n 88→ SELECT conversation_id FROM conversation_participants\n 89→ WHERE profile_id = auth.uid()\n 90→ )\n 91→ );\n 92→\n 93→CREATE POLICY \"Users can update their own messages\"\n 94→ ON messages FOR UPDATE\n 95→ USING (sender_id = auth.uid());\n 96→\n 97→-- Update updated_at trigger for messages\n 98→CREATE TRIGGER messages_updated_at\n 99→ BEFORE UPDATE ON messages\n 100→ FOR EACH ROW EXECUTE FUNCTION update_updated_at();\n 101→\n 102→-- Function to get conversation preview data\n 103→CREATE OR REPLACE FUNCTION get_conversation_previews(\n 104→ user_id uuid,\n 105→ page_limit integer DEFAULT 20,\n 106→ page_offset integer DEFAULT 0\n 107→)\n 108→RETURNS TABLE (\n 109→ conversation_id uuid,\n 110→ other_participant_name text,\n 111→ other_participant_avatar text,\n 112→ last_message text,\n 113→ last_message_time timestamptz,\n 114→ unread_count bigint,\n 115→ other_participant_is_online boolean\n 116→) AS $$\n 117→BEGIN\n 118→ RETURN QUERY\n 119→ SELECT\n 120→ c.id as conversation_id,\n 121→ p.name as other_participant_name,\n 122→ p.avatar_url as other_participant_avatar,\n 123→ last_msg.content as last_message,\n 124→ last_msg.created_at as last_message_time,\n 125→ COALESCE(unread.unread_count, 0) as unread_count,\n 126→ true as other_participant_is_online -- TODO: Implement online status\n 127→ FROM conversations c\n 128→ INNER JOIN conversation_participants cp ON c.id = cp.conversation_id\n 129→ INNER JOIN conversation_participants other_cp ON c.id = other_cp.conversation_id\n 130→ INNER JOIN profiles p ON other_cp.profile_id = p.id\n 131→ LEFT JOIN LATERAL (\n 132→ SELECT content, created_at\n 133→ FROM messages\n 134→ WHERE conversation_id = c.id\n 135→ ORDER BY created_at DESC\n 136→ LIMIT 1\n 137→ ) last_msg ON true\n 138→ LEFT JOIN LATERAL (\n 139→ SELECT COUNT(*) as unread_count\n 140→ FROM messages\n 141→ WHERE conversation_id = c.id\n 142→ AND sender_id != user_id\n 143→ AND created_at > cp.last_read_at\n 144→ ) unread ON true\n 145→ WHERE cp.profile_id = user_id\n 146→ AND other_cp.profile_id != user_id\n 147→ ORDER BY last_msg.created_at DESC NULLS LAST\n 148→ LIMIT page_limit\n 149→ OFFSET page_offset;\n 150→END;\n 151→$$ LANGUAGE plpgsql STABLE;\n 152→\n 153→-- Function to create or get existing conversation between two users\n 154→CREATE OR REPLACE FUNCTION get_or_create_conversation(user1_id uuid, user2_id uuid)\n 155→RETURNS uuid AS $$\n 156→DECLARE\n 157→ conversation_uuid uuid;\n 158→BEGIN\n 159→ -- Check if conversation already exists\n 160→ SELECT c.id INTO conversation_uuid\n 161→ FROM conversations c\n 162→ INNER JOIN conversation_participants cp1 ON c.id = cp1.conversation_id\n 163→ INNER JOIN conversation_participants cp2 ON c.id = cp2.conversation_id\n 164→ WHERE cp1.profile_id = user1_id\n 165→ AND cp2.profile_id = user2_id\n 166→ LIMIT 1;\n 167→\n 168→ -- If conversation doesn't exist, create it\n 169→ IF conversation_uuid IS NULL THEN\n 170→ INSERT INTO conversations DEFAULT VALUES\n 171→ RETURNING id INTO conversation_uuid;\n 172→\n 173→ INSERT INTO conversation_participants (conversation_id, profile_id)\n 174→ VALUES (conversation_uuid, user1_id), (conversation_uuid, user2_id);\n 175→ END IF;\n 176→\n 177→ RETURN conversation_uuid;\n 178→END;\n 179→$$ LANGUAGE plpgsql;\n\n\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\n"}]},"uuid":"c867ca83-f1dd-444e-844c-8a687d2c7b1c","timestamp":"2026-02-10T05:47:38.256Z","sourceToolAssistantUUID":"e3e31b6b-bf30-4098-984d-58dabb106431"}
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{"parentUuid":"adbc9bb0-eae2-4153-8c20-4fff3868fd6e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T7DQnTRgvv25JhJU5qheTK","type":"tool_result","content":" 1→-- Migration: Add DB-side match scoring RPC function\n 2→-- Created: 2025-01-21\n 3→-- Description: Moves match scoring from application layer to database for better scalability\n 4→-- This allows efficient matching even with 10k+ workers\n 5→\n 6→-- ============================================\n 7→-- RPC FUNCTION: find_matching_workers\n 8→-- ============================================\n 9→\n 10→CREATE OR REPLACE FUNCTION find_matching_workers(\n 11→ p_job_id uuid,\n 12→ p_limit integer DEFAULT 20,\n 13→ p_min_score integer DEFAULT 20\n 14→)\n 15→RETURNS TABLE (\n 16→ worker_id uuid,\n 17→ score integer,\n 18→ summary text,\n 19→ reasons text[],\n 20→ profile jsonb\n 21→) AS $$\n 22→DECLARE\n 23→ v_job_record RECORD;\n 24→ v_job_location point;\n 25→BEGIN\n 26→ -- Get job details once\n 27→ SELECT \n 28→ j.id,\n 29→ j.trade,\n 30→ j.certifications_required,\n 31→ j.start_date,\n 32→ j.duration,\n 33→ j.suburb,\n 34→ j.location,\n 35→ j.company_id\n 36→ INTO v_job_record\n 37→ FROM jobs j\n 38→ WHERE j.id = p_job_id AND j.status = 'active';\n 39→\n 40→ -- Return empty if job not found or not active\n 41→ IF v_job_record IS NULL THEN\n 42→ RETURN;\n 43→ END IF;\n 44→\n 45→ v_job_location := v_job_record.location;\n 46→\n 47→ RETURN QUERY\n 48→ WITH \n 49→ -- Get existing matches to exclude\n 50→ existing_matches AS (\n 51→ SELECT m.worker_id AS excluded_worker_id\n 52→ FROM matches m\n 53→ WHERE m.job_id = p_job_id\n 54→ ),\n 55→ -- Calculate average ratings per worker\n 56→ worker_ratings AS (\n 57→ SELECT \n 58→ r.to_id AS rating_worker_id,\n 59→ AVG(r.score)::decimal AS avg_rating,\n 60→ COUNT(*)::integer AS rating_count\n 61→ FROM ratings r\n 62→ GROUP BY r.to_id\n 63→ ),\n 64→ -- Score each worker\n 65→ scored_workers AS (\n 66→ SELECT \n 67→ p.id AS worker_profile_id,\n 68→ p.name AS worker_name,\n 69→ p.suburb AS worker_suburb,\n 70→ p.location AS worker_location,\n 71→ wp.trades AS worker_trades,\n 72→ wp.availability AS worker_availability,\n 73→ wp.experience_years,\n 74→ wp.certifications AS worker_certs,\n 75→ wp.bio,\n 76→ wp.white_card_verified,\n 77→ -- Trade match score (40 points max)\n 78→ CASE \n 79→ WHEN v_job_record.trade = ANY(wp.trades) THEN 40\n 80→ WHEN 'Labourer' = ANY(wp.trades) THEN 10\n 81→ -- Related trade groups\n 82→ WHEN v_job_record.trade IN ('Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder')\n 83→ AND wp.trades && ARRAY['Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder']::text[] THEN 15\n 84→ WHEN v_job_record.trade IN ('Painter', 'Tiler', 'Plasterer')\n 85→ AND wp.trades && ARRAY['Painter', 'Tiler', 'Plasterer']::text[] THEN 15\n 86→ WHEN v_job_record.trade IN ('Electrician', 'Plumber')\n 87→ AND wp.trades && ARRAY['Electrician', 'Plumber']::text[] THEN 15\n 88→ WHEN v_job_record.trade IN ('Crane Operator', 'Excavator Operator')\n 89→ AND wp.trades && ARRAY['Crane Operator', 'Excavator Operator']::text[] THEN 15\n 90→ WHEN v_job_record.trade IN ('Bricklayer', 'Roofer', 'Welder')\n 91→ AND wp.trades && ARRAY['Bricklayer', 'Roofer', 'Welder']::text[] THEN 15\n 92→ ELSE 0\n 93→ END AS trade_score,\n 94→ -- Availability score (20 points max)\n 95→ CASE wp.availability\n 96→ WHEN 'flexible' THEN 20\n 97→ WHEN 'full-time' THEN 18\n 98→ WHEN 'casual' THEN 12\n 99→ WHEN 'weekends' THEN 8\n 100→ ELSE 0\n 101→ END AS availability_score,\n 102→ -- Experience score (15 points max)\n 103→ CASE \n 104→ WHEN wp.experience_years >= 10 THEN 15\n 105→ WHEN wp.experience_years >= 7 THEN 13\n 106→ WHEN wp.experience_years >= 4 THEN 11\n 107→ WHEN wp.experience_years >= 2 THEN 8\n 108→ WHEN wp.experience_years >= 1 THEN 5\n 109→ WHEN wp.experience_years IS NOT NULL THEN 2\n 110→ ELSE 0\n 111→ END AS experience_score,\n 112→ -- Certifications score (15 points max)\n 113→ CASE \n 114→ WHEN array_length(v_job_record.certifications_required, 1) IS NULL \n 115→ OR array_length(v_job_record.certifications_required, 1) = 0 THEN 15\n 116→ ELSE \n 117→ ROUND(\n 118→ (\n 119→ COALESCE(\n 120→ array_length(\n 121→ ARRAY(\n 122→ SELECT unnest(v_job_record.certifications_required)\n 123→ INTERSECT\n 124→ SELECT unnest(wp.certifications)\n 125→ ),\n 126→ 1\n 127→ ),\n 128→ 0\n 129→ )::decimal / \n 130→ array_length(v_job_record.certifications_required, 1)\n 131→ ) * 15\n 132→ )\n 133→ END AS cert_score,\n 134→ -- Location score (10 points max) - uses point distance\n 135→ CASE \n 136→ WHEN v_job_location IS NULL OR p.location IS NULL THEN 0\n 137→ WHEN p.location <-> v_job_location < 0.01 THEN 10 -- Same area (~1km)\n 138→ WHEN p.location <-> v_job_location < 0.05 THEN 7 -- Nearby (~5km)\n 139→ WHEN p.location <-> v_job_location < 0.1 THEN 5 -- Same region (~10km)\n 140→ WHEN p.suburb = v_job_record.suburb THEN 10 -- Exact suburb match (fallback)\n 141→ WHEN p.suburb ILIKE '%' || v_job_record.suburb || '%' \n 142→ OR v_job_record.suburb ILIKE '%' || p.suburb || '%' THEN 7\n 143→ ELSE 0\n 144→ END AS location_score,\n 145→ -- Rating score (10 points max)\n 146→ COALESCE(\n 147→ ROUND((wr.avg_rating / 5.0) * 10),\n 148→ 0\n 149→ ) AS rating_score,\n 150→ wr.avg_rating,\n 151→ wr.rating_count\n 152→ FROM profiles p\n 153→ INNER JOIN worker_profiles wp ON wp.profile_id = p.id\n 154→ LEFT JOIN worker_ratings wr ON wr.rating_worker_id = p.id\n 155→ WHERE \n 156→ p.onboarding_completed = true\n 157→ AND p.type = 'worker'\n 158→ AND p.id NOT IN (SELECT excluded_worker_id FROM existing_matches)\n 159→ ),\n 160→ -- Calculate total score and build reasons\n 161→ final_scores AS (\n 162→ SELECT \n 163→ sw.*,\n 164→ (sw.trade_score + sw.availability_score + sw.experience_score + \n 165→ sw.cert_score + sw.location_score + sw.rating_score) AS total_score,\n 166→ -- Build reasons array\n 167→ ARRAY_REMOVE(ARRAY[\n 168→ CASE WHEN sw.trade_score = 40 THEN 'Trades as ' || v_job_record.trade\n 169→ WHEN sw.trade_score = 15 THEN 'Related trade experience'\n 170→ WHEN sw.trade_score = 10 THEN 'General labourer available'\n 171→ ELSE NULL END,\n 172→ CASE WHEN sw.availability_score > 0 THEN 'Available ' || sw.worker_availability ELSE NULL END,\n 173→ CASE WHEN sw.experience_score > 0 THEN sw.experience_years || '+ years experience' ELSE NULL END,\n 174→ CASE WHEN sw.cert_score > 0 AND array_length(v_job_record.certifications_required, 1) > 0 \n 175→ THEN 'Has required certifications' ELSE NULL END,\n 176→ CASE WHEN sw.location_score > 0 THEN 'Based in ' || sw.worker_suburb ELSE NULL END,\n 177→ CASE WHEN sw.rating_score >= 8 THEN ROUND(sw.avg_rating::numeric, 1) || ' star rating' ELSE NULL END\n 178→ ], NULL) AS match_reasons\n 179→ FROM scored_workers sw\n 180→ )\n 181→ SELECT \n 182→ fs.worker_profile_id,\n 183→ LEAST(fs.total_score, 100) AS score,\n 184→ array_to_string(fs.match_reasons[:3], '. ') || '.' AS summary,\n 185→ fs.match_reasons AS reasons,\n 186→ jsonb_build_object(\n 187→ 'id', fs.worker_profile_id,\n 188→ 'name', fs.worker_name,\n 189→ 'suburb', fs.worker_suburb,\n 190→ 'trades', fs.worker_trades,\n 191→ 'experience_years', fs.experience_years,\n 192→ 'availability', fs.worker_availability,\n 193→ 'certifications', fs.worker_certs,\n 194→ 'bio', fs.bio,\n 195→ 'white_card_verified', fs.white_card_verified,\n 196→ 'avg_rating', COALESCE(fs.avg_rating, 0),\n 197→ 'rating_count', COALESCE(fs.rating_count, 0)\n 198→ ) AS profile\n 199→ FROM final_scores fs\n 200→ WHERE fs.total_score >= p_min_score\n 201→ ORDER BY fs.total_score DESC, fs.experience_years DESC NULLS LAST\n 202→ LIMIT p_limit;\n 203→END;\n 204→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 205→\n 206→-- Grant execute permission to authenticated users\n 207→GRANT EXECUTE ON FUNCTION find_matching_workers(uuid, integer, integer) TO authenticated;\n 208→GRANT EXECUTE ON FUNCTION find_matching_workers(uuid, integer, integer) TO service_role;\n 209→\n 210→-- Create index on profiles.location for efficient distance calculations\n 211→CREATE INDEX IF NOT EXISTS idx_profiles_location ON profiles USING gist (location) WHERE type = 'worker';\n 212→\n 213→-- Create index to speed up the worker lookup\n 214→CREATE INDEX IF NOT EXISTS idx_worker_profiles_lookup ON worker_profiles (profile_id, availability, experience_years) INCLUDE (trades, certifications, bio);\n 215→\n 216→-- ============================================\n 217→-- VERIFICATION QUERIES\n 218→-- ============================================\n 219→\n 220→-- Test the function (replace with actual job_id)\n 221→-- SELECT * FROM find_matching_workers('your-job-id-here'::uuid, 20, 20);\n 222→\n 223→-- Check function exists\n 224→-- SELECT proname, proargnames, prorettype::regtype \n 225→-- FROM pg_proc \n 226→-- WHERE proname = 'find_matching_workers';\n 227→\n\n\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\n"}]},"uuid":"44ba1642-6326-48b4-ad45-d3b3ad4b8861","timestamp":"2026-02-10T05:47:43.278Z","sourceToolAssistantUUID":"adbc9bb0-eae2-4153-8c20-4fff3868fd6e"}
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{"parentUuid":"fccdc2d4-263d-4cc6-81dc-fc385ae03f16","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015dP7RWfGEoFiQs3mVZV7Af","type":"tool_result","content":" 1→-- Migration: Add ABN uniqueness constraint to companies table\n 2→-- Created: 2026-02-08\n 3→-- Description: Ensures ABN values are unique across all companies\n 4→-- \n 5→-- IMPORTANT: This migration requires manual intervention if duplicates exist.\n 6→-- The migration will FAIL if duplicate ABN values exist in the database.\n 7→-- \n 8→-- BEFORE RUNNING:\n 9→-- 1. Execute the verification queries to check for duplicates\n 10→-- 2. If duplicates exist, resolve them (nullify or update manually)\n 11→-- 3. Then run this migration\n 12→--\n 13→-- AFTER RUNNING:\n 14→-- 1. Verify the constraint is working with the post-migration queries\n 15→\n 16→-- ============================================\n 17→-- VERIFICATION QUERIES (Run these before migration)\n 18→-- ============================================\n 19→\n 20→-- Check for existing duplicate ABN values\n 21→-- If duplicates exist, resolve them before running this migration\n 22→/*\n 23→SELECT abn, COUNT(*) as duplicate_count, array_agg(id) as company_ids\n 24→FROM companies \n 25→WHERE abn IS NOT NULL \n 26→GROUP BY abn \n 27→HAVING COUNT(*) > 1;\n 28→*/\n 29→\n 30→-- Check total companies with ABN values\n 31→/*\n 32→SELECT COUNT(*) as total_companies_with_abn\n 33→FROM companies \n 34→WHERE abn IS NOT NULL;\n 35→*/\n 36→\n 37→-- ============================================\n 38→-- UP MIGRATION\n 39→-- ============================================\n 40→\n 41→-- Step 1: Handle existing duplicate ABN values\n 42→-- Option A: Nullify duplicate ABNs (safer than deletion)\n 43→-- This preserves all companies but removes ABN from duplicates\n 44→/*\n 45→UPDATE companies \n 46→SET abn = NULL, updated_at = now()\n 47→WHERE id IN (\n 48→ SELECT id FROM (\n 49→ SELECT id, ROW_NUMBER() OVER (PARTITION BY abn ORDER BY updated_at DESC) as rn\n 50→ FROM companies \n 51→ WHERE abn IS NOT NULL\n 52→ ) ranked\n 53→ WHERE rn > 1\n 54→);\n 55→*/\n 56→\n 57→-- Option B: Manually review and handle duplicates\n 58→-- Use the verification query above to identify duplicates\n 59→-- Then manually update them through the app or direct SQL\n 60→\n 61→-- Step 2: Add unique constraint to ABN column\n 62→-- This will fail if duplicates exist - ensure Step 1 is completed first\n 63→ALTER TABLE companies \n 64→ADD CONSTRAINT companies_abn_unique UNIQUE (abn);\n 65→\n 66→-- Step 3: Create index on ABN for better query performance\n 67→-- This index already exists in the schema but we'll ensure it exists\n 68→CREATE INDEX IF NOT EXISTS idx_companies_abn ON companies (abn);\n 69→\n 70→-- ============================================\n 71→-- DOWN MIGRATION\n 72→-- ============================================\n 73→\n 74→-- To rollback this migration, run the following:\n 75→\n 76→-- Remove the unique constraint\n 77→-- ALTER TABLE companies \n 78→-- DROP CONSTRAINT IF EXISTS companies_abn_unique;\n 79→\n 80→-- Note: The index idx_companies_abn is kept for performance even after rollback\n 81→-- To also remove the index (not recommended):\n 82→-- DROP INDEX IF EXISTS idx_companies_abn;\n 83→\n 84→-- ============================================\n 85→-- POST-MIGRATION VERIFICATION\n 86→-- ============================================\n 87→\n 88→-- Verify the constraint is working (should return 0)\n 89→/*\n 90→SELECT COUNT(*) as constraint_violations\n 91→FROM (\n 92→ SELECT abn, COUNT(*) as count\n 93→ FROM companies \n 94→ WHERE abn IS NOT NULL \n 95→ GROUP BY abn \n 96→ HAVING COUNT(*) > 1\n 97→) as duplicates;\n 98→*/\n 99→\n 100→-- Test inserting a duplicate ABN (should fail)\n 101→/*\n 102→-- This should fail with unique constraint violation\n 103→INSERT INTO companies (profile_id, name, abn) \n 104→VALUES ('test-profile-id', 'Test Company', '12345678901');\n 105→*/\n 106→\n 107→-- List all unique ABNs\n 108→/*\n 109→SELECT DISTINCT abn \n 110→FROM companies \n 111→WHERE abn IS NOT NULL \n 112→ORDER BY abn;\n 113→*/\n\n\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\n"}]},"uuid":"ca4f5b57-0527-4d88-84ff-7342dad405cf","timestamp":"2026-02-10T05:47:44.138Z","sourceToolAssistantUUID":"fccdc2d4-263d-4cc6-81dc-fc385ae03f16"}
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{"parentUuid":"dcca156e-97fd-46a3-a5ca-576b96da803e","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UkvxKtUPR65GqKdt9uzscX","type":"tool_result","content":" 1→-- Fix messaging functions: add SET search_path = public to prevent SQL injection\n 2→-- These were created in add-messaging.sql without search_path protection\n 3→\n 4→CREATE OR REPLACE FUNCTION get_conversation_previews(\n 5→ user_id uuid,\n 6→ page_limit integer DEFAULT 20,\n 7→ page_offset integer DEFAULT 0\n 8→)\n 9→RETURNS TABLE (\n 10→ conversation_id uuid,\n 11→ other_participant_name text,\n 12→ other_participant_avatar text,\n 13→ last_message text,\n 14→ last_message_time timestamptz,\n 15→ unread_count bigint,\n 16→ other_participant_is_online boolean\n 17→) AS $$\n 18→BEGIN\n 19→ RETURN QUERY\n 20→ SELECT\n 21→ c.id as conversation_id,\n 22→ p.name as other_participant_name,\n 23→ p.avatar_url as other_participant_avatar,\n 24→ last_msg.content as last_message,\n 25→ last_msg.created_at as last_message_time,\n 26→ COALESCE(unread.unread_count, 0) as unread_count,\n 27→ true as other_participant_is_online -- TODO: Implement online status\n 28→ FROM conversations c\n 29→ INNER JOIN conversation_participants cp ON c.id = cp.conversation_id\n 30→ INNER JOIN conversation_participants other_cp ON c.id = other_cp.conversation_id\n 31→ INNER JOIN profiles p ON other_cp.profile_id = p.id\n 32→ LEFT JOIN LATERAL (\n 33→ SELECT content, created_at\n 34→ FROM messages\n 35→ WHERE conversation_id = c.id\n 36→ ORDER BY created_at DESC\n 37→ LIMIT 1\n 38→ ) last_msg ON true\n 39→ LEFT JOIN LATERAL (\n 40→ SELECT COUNT(*) as unread_count\n 41→ FROM messages\n 42→ WHERE conversation_id = c.id\n 43→ AND sender_id != user_id\n 44→ AND created_at > cp.last_read_at\n 45→ ) unread ON true\n 46→ WHERE cp.profile_id = user_id\n 47→ AND other_cp.profile_id != user_id\n 48→ ORDER BY last_msg.created_at DESC NULLS LAST\n 49→ LIMIT page_limit\n 50→ OFFSET page_offset;\n 51→END;\n 52→$$ LANGUAGE plpgsql STABLE\n 53→SET search_path = public;\n 54→\n 55→CREATE OR REPLACE FUNCTION get_or_create_conversation(user1_id uuid, user2_id uuid)\n 56→RETURNS uuid AS $$\n 57→DECLARE\n 58→ conversation_uuid uuid;\n 59→BEGIN\n 60→ -- Check if conversation already exists\n 61→ SELECT c.id INTO conversation_uuid\n 62→ FROM conversations c\n 63→ INNER JOIN conversation_participants cp1 ON c.id = cp1.conversation_id\n 64→ INNER JOIN conversation_participants cp2 ON c.id = cp2.conversation_id\n 65→ WHERE cp1.profile_id = user1_id\n 66→ AND cp2.profile_id = user2_id\n 67→ LIMIT 1;\n 68→\n 69→ -- If conversation doesn't exist, create it\n 70→ IF conversation_uuid IS NULL THEN\n 71→ INSERT INTO conversations DEFAULT VALUES\n 72→ RETURNING id INTO conversation_uuid;\n 73→\n 74→ INSERT INTO conversation_participants (conversation_id, profile_id)\n 75→ VALUES (conversation_uuid, user1_id), (conversation_uuid, user2_id);\n 76→ END IF;\n 77→\n 78→ RETURN conversation_uuid;\n 79→END;\n 80→$$ LANGUAGE plpgsql\n 81→SET search_path = public;\n 82→\n\n\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\n"}]},"uuid":"ccda1809-6b16-4c38-be7e-bb31e0d5e582","timestamp":"2026-02-10T05:47:44.726Z","sourceToolAssistantUUID":"dcca156e-97fd-46a3-a5ca-576b96da803e"}
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{"parentUuid":"e1631878-8ca0-4bca-ab01-949c646ff17b","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011gNh1SKfnMPKTAtcX2njhr","type":"tool_result","content":" 1→-- Add missing indexes on payments table for query performance\n 2→CREATE INDEX IF NOT EXISTS idx_payments_match_id ON payments (match_id);\n 3→CREATE INDEX IF NOT EXISTS idx_payments_company_id ON payments (company_id);\n 4→\n\n\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\n"}]},"uuid":"545d5c42-a9fc-4cdc-a72a-30e134a04e16","timestamp":"2026-02-10T05:47:45.679Z","sourceToolAssistantUUID":"e1631878-8ca0-4bca-ab01-949c646ff17b"}
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{"parentUuid":"d45e47d9-5ad8-4b70-9a3a-b18ccd3a2870","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PqVa8zpGsCjy3vPEdjdPH1","type":"tool_result","content":" 1→-- Add last_seen_at to profiles for online status tracking\n 2→ALTER TABLE profiles ADD COLUMN IF NOT EXISTS last_seen_at timestamptz;\n 3→CREATE INDEX IF NOT EXISTS idx_profiles_last_seen_at ON profiles (last_seen_at);\n 4→\n 5→-- Update get_conversation_previews to use real online status (active in last 5 min)\n 6→CREATE OR REPLACE FUNCTION get_conversation_previews(\n 7→ user_id uuid,\n 8→ page_limit integer DEFAULT 20,\n 9→ page_offset integer DEFAULT 0\n 10→)\n 11→RETURNS TABLE (\n 12→ conversation_id uuid,\n 13→ other_participant_name text,\n 14→ other_participant_avatar text,\n 15→ last_message text,\n 16→ last_message_time timestamptz,\n 17→ unread_count bigint,\n 18→ other_participant_is_online boolean\n 19→) AS $$\n 20→BEGIN\n 21→ RETURN QUERY\n 22→ SELECT\n 23→ c.id as conversation_id,\n 24→ p.name as other_participant_name,\n 25→ p.avatar_url as other_participant_avatar,\n 26→ last_msg.content as last_message,\n 27→ last_msg.created_at as last_message_time,\n 28→ COALESCE(unread.unread_count, 0) as unread_count,\n 29→ COALESCE(p.last_seen_at > (now() - interval '5 minutes'), false) as other_participant_is_online\n 30→ FROM conversations c\n 31→ INNER JOIN conversation_participants cp ON c.id = cp.conversation_id\n 32→ INNER JOIN conversation_participants other_cp ON c.id = other_cp.conversation_id\n 33→ INNER JOIN profiles p ON other_cp.profile_id = p.id\n 34→ LEFT JOIN LATERAL (\n 35→ SELECT content, created_at\n 36→ FROM messages\n 37→ WHERE conversation_id = c.id\n 38→ ORDER BY created_at DESC\n 39→ LIMIT 1\n 40→ ) last_msg ON true\n 41→ LEFT JOIN LATERAL (\n 42→ SELECT COUNT(*) as unread_count\n 43→ FROM messages\n 44→ WHERE conversation_id = c.id\n 45→ AND sender_id != user_id\n 46→ AND created_at > cp.last_read_at\n 47→ ) unread ON true\n 48→ WHERE cp.profile_id = user_id\n 49→ AND other_cp.profile_id != user_id\n 50→ ORDER BY last_msg.created_at DESC NULLS LAST\n 51→ LIMIT page_limit\n 52→ OFFSET page_offset;\n 53→END;\n 54→$$ LANGUAGE plpgsql STABLE\n 55→SET search_path = public;\n 56→\n\n\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\n"}]},"uuid":"5f97dd3f-daf8-449d-9a8a-95b47b8ad1cc","timestamp":"2026-02-10T05:47:46.033Z","sourceToolAssistantUUID":"d45e47d9-5ad8-4b70-9a3a-b18ccd3a2870"}
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{"parentUuid":"efa3bc5f-117f-40cf-9be8-a698f43a1b21","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BWZp5RTbWwrZbenRTYUuod","type":"tool_result","content":" 1→-- Create avatars storage bucket for user profile photos\n 2→-- Bucket config: 5MB max, public, images only\n 3→\n 4→INSERT INTO storage.buckets (id, name, public, file_size_limit, allowed_mime_types)\n 5→VALUES (\n 6→ 'avatars',\n 7→ 'avatars',\n 8→ true,\n 9→ 5242880, -- 5MB\n 10→ '{\"image/jpeg\",\"image/png\",\"image/webp\",\"image/gif\"}'\n 11→)\n 12→ON CONFLICT (id) DO NOTHING;\n 13→\n 14→-- Drop existing policies if they exist\n 15→DROP POLICY IF EXISTS \"Avatars are publicly accessible\" ON storage.objects;\n 16→DROP POLICY IF EXISTS \"Users can upload their own avatar\" ON storage.objects;\n 17→DROP POLICY IF EXISTS \"Users can update their own avatar\" ON storage.objects;\n 18→DROP POLICY IF EXISTS \"Users can delete their own avatar\" ON storage.objects;\n 19→\n 20→-- Allow anyone to read avatars (public bucket)\n 21→CREATE POLICY \"Avatars are publicly accessible\"\n 22→ON storage.objects FOR SELECT\n 23→USING (bucket_id = 'avatars');\n 24→\n 25→-- Allow authenticated users to upload their own avatar\n 26→-- Files must be stored in a folder named after their user ID\n 27→CREATE POLICY \"Users can upload their own avatar\"\n 28→ON storage.objects FOR INSERT\n 29→WITH CHECK (\n 30→ bucket_id = 'avatars'\n 31→ AND auth.uid()::text = (storage.foldername(name))[1]\n 32→);\n 33→\n 34→-- Allow users to update their own avatar\n 35→CREATE POLICY \"Users can update their own avatar\"\n 36→ON storage.objects FOR UPDATE\n 37→USING (\n 38→ bucket_id = 'avatars'\n 39→ AND auth.uid()::text = (storage.foldername(name))[1]\n 40→);\n 41→\n 42→-- Allow users to delete their own avatar\n 43→CREATE POLICY \"Users can delete their own avatar\"\n 44→ON storage.objects FOR DELETE\n 45→USING (\n 46→ bucket_id = 'avatars'\n 47→ AND auth.uid()::text = (storage.foldername(name))[1]\n 48→);\n 49→\n\n\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\n"}]},"uuid":"065027c8-fcb7-49a5-a36d-8a85a4a63c17","timestamp":"2026-02-10T05:47:46.528Z","sourceToolAssistantUUID":"efa3bc5f-117f-40cf-9be8-a698f43a1b21"}
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{"parentUuid":"3bf15d9b-6009-4c19-b513-f97ddaac75e9","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qz7i5XeMN2WRtuW8TyjpgC","type":"tool_result","content":" 1→-- Migration: Add unique constraint on companies.abn\n 2→-- Created: 2026-02-09\n 3→\n 4→-- Step 1: Check for existing duplicate ABNs\n 5→-- This query will show all companies that have duplicate ABN values\n 6→-- (excluding NULL and empty string ABNs)\n 7→SELECT \n 8→ abn,\n 9→ COUNT(*) as duplicate_count,\n 10→ array_agg(\n 11→ json_build_object(\n 12→ 'id', id,\n 13→ 'name', name,\n 14→ 'profile_id', profile_id\n 15→ )\n 16→ ) as companies\n 17→FROM companies\n 18→WHERE abn IS NOT NULL \n 19→ AND abn != ''\n 20→GROUP BY abn\n 21→HAVING COUNT(*) > 1\n 22→ORDER BY duplicate_count DESC, abn;\n 23→\n 24→-- Step 2: Migration to add UNIQUE constraint\n 25→-- Note: This migration uses a partial unique index to exclude NULL and empty ABNs\n 26→BEGIN;\n 27→\n 28→-- Drop existing constraint/index if present (from prior migration 20260208000001)\n 29→ALTER TABLE companies DROP CONSTRAINT IF EXISTS companies_abn_unique;\n 30→DROP INDEX IF EXISTS companies_abn_unique;\n 31→\n 32→-- Create a partial unique index on ABN\n 33→-- This allows multiple NULL values and multiple empty strings, but enforces uniqueness on actual ABN values\n 34→CREATE UNIQUE INDEX companies_abn_unique\n 35→ON companies (abn)\n 36→WHERE abn IS NOT NULL AND abn != '';\n 37→\n 38→-- Add a comment to document the constraint\n 39→COMMENT ON INDEX companies_abn_unique IS 'Ensures ABN values are unique across companies, excluding NULL and empty values';\n 40→\n 41→COMMIT;\n 42→\n 43→-- Notes on handling duplicates:\n 44→-- If the duplicate check query returns results, you'll need to resolve these before running the migration.\n 45→-- Options for resolving duplicates:\n 46→-- 1. Update duplicate ABNs to NULL or empty string for companies that don't need an ABN\n 47→-- 2. Update ABNs to correct unique values where data entry errors occurred\n 48→-- 3. Merge duplicate company records if they represent the same business\n 49→-- 4. Add a suffix to make ABNs unique temporarily (e.g., '12345678901_OLD')\n 50→--\n 51→-- Example resolution queries:\n 52→-- UPDATE companies SET abn = NULL WHERE id = ;\n 53→-- UPDATE companies SET abn = WHERE id = ;\n\n\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\n"}]},"uuid":"370af48e-e51c-47fa-8d65-47699842670c","timestamp":"2026-02-10T05:47:49.991Z","sourceToolAssistantUUID":"3bf15d9b-6009-4c19-b513-f97ddaac75e9"}
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{"parentUuid":"7e7066eb-809f-4dae-bed9-cdaa9cc4f774","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012zDrD4tgzv2kc1A5cWnRZB","type":"tool_result","content":" 1→-- Deep audit fixes: search_path + RLS policies\n 2→-- Applied directly to production via Management API on 2026-02-08\n 3→-- This migration file documents what was changed for version control.\n 4→\n 5→-- ============================================================\n 6→-- 1. ADD SET search_path TO ALL PUBLIC FUNCTIONS\n 7→-- Prevents search_path injection attacks.\n 8→-- (handle_new_user already had it; these 6 were missing)\n 9→-- ============================================================\n 10→\n 11→-- get_average_rating: already recreated with SET search_path = public\n 12→-- get_conversation_previews: already recreated with SET search_path = public\n 13→-- get_or_create_conversation: already recreated with SET search_path = public\n 14→-- get_rating_count: already recreated with SET search_path = public\n 15→-- update_updated_at: already recreated with SET search_path = public\n 16→-- validate_payment_creation: already recreated with SET search_path = public\n 17→\n 18→-- ============================================================\n 19→-- 2. FIX notifications INSERT POLICY\n 20→-- Was: any authenticated user could insert notifications for ANY user\n 21→-- Now: authenticated users can only insert notifications for OTHER users\n 22→-- ============================================================\n 23→\n 24→DROP POLICY IF EXISTS \"System can insert notifications\" ON public.notifications;\n 25→DROP POLICY IF EXISTS \"Authenticated users can insert notifications\" ON public.notifications;\n 26→CREATE POLICY \"Authenticated users can insert notifications\" ON public.notifications\n 27→ FOR INSERT TO authenticated\n 28→ WITH CHECK (profile_id != auth.uid());\n 29→\n 30→-- ============================================================\n 31→-- 3. ADD MISSING DELETE POLICIES\n 32→-- All 11 tables were missing DELETE policies.\n 33→-- Adding DELETE for tables where users legitimately need it.\n 34→-- (payments, ratings, profiles, worker_profiles, companies,\n 35→-- conversations, conversation_participants intentionally omitted)\n 36→-- ============================================================\n 37→\n 38→DROP POLICY IF EXISTS \"Users can delete their own notifications\" ON public.notifications;\n 39→CREATE POLICY \"Users can delete their own notifications\" ON public.notifications\n 40→ FOR DELETE TO authenticated\n 41→ USING (profile_id = auth.uid());\n 42→\n 43→DROP POLICY IF EXISTS \"Users can delete their own messages\" ON public.messages;\n 44→CREATE POLICY \"Users can delete their own messages\" ON public.messages\n 45→ FOR DELETE TO authenticated\n 46→ USING (sender_id = auth.uid());\n 47→\n 48→DROP POLICY IF EXISTS \"Contractors can delete their own jobs\" ON public.jobs;\n 49→CREATE POLICY \"Contractors can delete their own jobs\" ON public.jobs\n 50→ FOR DELETE TO authenticated\n 51→ USING (company_id IN (SELECT id FROM public.companies WHERE profile_id = auth.uid()));\n 52→\n 53→DROP POLICY IF EXISTS \"Workers can withdraw their own applications\" ON public.matches;\n 54→CREATE POLICY \"Workers can withdraw their own applications\" ON public.matches\n 55→ FOR DELETE TO authenticated\n 56→ USING (worker_id = auth.uid() AND status IN ('applied', 'suggested'));\n 57→\n\n\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\n"}]},"uuid":"684b7536-703d-4e3c-b9a7-13e5f7599360","timestamp":"2026-02-10T05:47:50.684Z","sourceToolAssistantUUID":"7e7066eb-809f-4dae-bed9-cdaa9cc4f774"}
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{"parentUuid":"e7504412-cbd3-462a-87bf-f1c83771b767","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012osm4FLtGFme7tmjCzv121","type":"tool_result","content":" 1→-- Migration: Add DELETE policies to all tables\n 2→-- Created: 2026-02-09\n 3→-- Description: Adds RLS DELETE policies so users can delete their own data.\n 4→-- Service role bypasses RLS by default and can delete anything.\n 5→\n 6→BEGIN;\n 7→\n 8→-- ============================================\n 9→-- profiles: Users can delete their own profile\n 10→-- ============================================\n 11→DROP POLICY IF EXISTS \"Users can delete their own profile\" ON profiles;\n 12→CREATE POLICY \"Users can delete their own profile\"\n 13→ ON profiles FOR DELETE\n 14→ USING (auth.uid() = id);\n 15→\n 16→-- ============================================\n 17→-- companies: Contractors can delete their own company\n 18→-- ============================================\n 19→DROP POLICY IF EXISTS \"Contractors can delete their own company\" ON companies;\n 20→CREATE POLICY \"Contractors can delete their own company\"\n 21→ ON companies FOR DELETE\n 22→ USING (profile_id = auth.uid());\n 23→\n 24→-- ============================================\n 25→-- worker_profiles: Workers can delete their own profile\n 26→-- ============================================\n 27→DROP POLICY IF EXISTS \"Workers can delete their own profile\" ON worker_profiles;\n 28→CREATE POLICY \"Workers can delete their own profile\"\n 29→ ON worker_profiles FOR DELETE\n 30→ USING (profile_id = auth.uid());\n 31→\n 32→-- ============================================\n 33→-- jobs: Contractors can delete their own jobs\n 34→-- ============================================\n 35→DROP POLICY IF EXISTS \"Contractors can delete their own jobs\" ON jobs;\n 36→CREATE POLICY \"Contractors can delete their own jobs\"\n 37→ ON jobs FOR DELETE\n 38→ USING (company_id IN (\n 39→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 40→ ));\n 41→\n 42→-- ============================================\n 43→-- matches: Involved parties can delete matches\n 44→-- Worker who applied OR contractor who owns the job\n 45→-- ============================================\n 46→DROP POLICY IF EXISTS \"Involved parties can delete matches\" ON matches;\n 47→DROP POLICY IF EXISTS \"Workers can withdraw their own applications\" ON matches;\n 48→CREATE POLICY \"Involved parties can delete matches\"\n 49→ ON matches FOR DELETE\n 50→ USING (\n 51→ worker_id = auth.uid()\n 52→ OR job_id IN (\n 53→ SELECT j.id FROM jobs j\n 54→ JOIN companies c ON j.company_id = c.id\n 55→ WHERE c.profile_id = auth.uid()\n 56→ )\n 57→ );\n 58→\n 59→-- ============================================\n 60→-- ratings: Users can delete ratings they authored\n 61→-- ============================================\n 62→DROP POLICY IF EXISTS \"Users can delete their own ratings\" ON ratings;\n 63→CREATE POLICY \"Users can delete their own ratings\"\n 64→ ON ratings FOR DELETE\n 65→ USING (from_id = auth.uid());\n 66→\n 67→-- ============================================\n 68→-- payments: Company owners can delete their payments\n 69→-- ============================================\n 70→DROP POLICY IF EXISTS \"Company owners can delete their payments\" ON payments;\n 71→CREATE POLICY \"Company owners can delete their payments\"\n 72→ ON payments FOR DELETE\n 73→ USING (company_id IN (\n 74→ SELECT id FROM companies WHERE profile_id = auth.uid()\n 75→ ));\n 76→\n 77→-- ============================================\n 78→-- notifications: Users can delete their own notifications\n 79→-- ============================================\n 80→DROP POLICY IF EXISTS \"Users can delete their own notifications\" ON notifications;\n 81→CREATE POLICY \"Users can delete their own notifications\"\n 82→ ON notifications FOR DELETE\n 83→ USING (profile_id = auth.uid());\n 84→\n 85→-- ============================================\n 86→-- conversations: Participants can delete conversations they belong to\n 87→-- ============================================\n 88→DROP POLICY IF EXISTS \"Users can delete their own conversations\" ON conversations;\n 89→CREATE POLICY \"Users can delete their own conversations\"\n 90→ ON conversations FOR DELETE\n 91→ USING (id IN (\n 92→ SELECT conversation_id FROM conversation_participants\n 93→ WHERE profile_id = auth.uid()\n 94→ ));\n 95→\n 96→-- ============================================\n 97→-- conversation_participants: Users can remove themselves from conversations\n 98→-- ============================================\n 99→DROP POLICY IF EXISTS \"Users can delete their own participation\" ON conversation_participants;\n 100→CREATE POLICY \"Users can delete their own participation\"\n 101→ ON conversation_participants FOR DELETE\n 102→ USING (profile_id = auth.uid());\n 103→\n 104→-- ============================================\n 105→-- messages: Users can delete their own messages\n 106→-- ============================================\n 107→DROP POLICY IF EXISTS \"Users can delete their own messages\" ON messages;\n 108→CREATE POLICY \"Users can delete their own messages\"\n 109→ ON messages FOR DELETE\n 110→ USING (sender_id = auth.uid());\n 111→\n 112→COMMIT;\n 113→\n\n\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\n"}]},"uuid":"77b5575e-680d-400e-afb5-87f9e14c2c6b","timestamp":"2026-02-10T05:47:51.313Z","sourceToolAssistantUUID":"e7504412-cbd3-462a-87bf-f1c83771b767"}
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{"parentUuid":"387d8fe4-824f-49a5-afe5-9146556e0466","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fampc8y5td2u2obH3dgppm","type":"tool_result","content":" 1→-- Migration: Create ABN cache table for storing ABR lookup results\n 2→-- Created: 2026-02-10\n 3→-- Description: Caches ABN lookup results from ABR to reduce API calls and improve performance\n 4→-- \n 5→-- Features:\n 6→-- - Stores validated ABN data with company details\n 7→-- - Automatic expiry (30 days for valid ABNs, 7 days for invalid/not found)\n 8→-- - Unique constraint on ABN\n 9→-- - Index for fast lookups\n 10→-- - Created/updated timestamps for monitoring\n 11→\n 12→-- ============================================\n 13→-- ABN CACHE TABLE\n 14→-- ============================================\n 15→\n 16→CREATE TABLE abn_cache (\n 17→ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),\n 18→ abn text NOT NULL UNIQUE,\n 19→ company_name text NOT NULL,\n 20→ status text NOT NULL,\n 21→ status_date text,\n 22→ state text,\n 23→ postcode text,\n 24→ entity_type text,\n 25→ entity_type_code text,\n 26→ gst_registered boolean,\n 27→ acn text,\n 28→ \n 29→ -- Cache metadata\n 30→ cached_at timestamptz DEFAULT now(),\n 31→ updated_at timestamptz DEFAULT now(),\n 32→ expires_at timestamptz NOT NULL,\n 33→ \n 34→ -- ABR response data (stored as JSON for flexibility)\n 35→ abr_response jsonb,\n 36→ \n 37→ -- Cache statistics\n 38→ lookup_count integer DEFAULT 1,\n 39→ last_lookup_at timestamptz DEFAULT now()\n 40→);\n 41→\n 42→-- ============================================\n 43→-- INDEXES\n 44→-- ============================================\n 45→\n 46→-- Primary lookup index (ABN)\n 47→CREATE INDEX idx_abn_cache_abn ON abn_cache (abn);\n 48→\n 49→-- Expiry index for cleanup jobs\n 50→CREATE INDEX idx_abn_cache_expires_at ON abn_cache (expires_at);\n 51→\n 52→-- Last lookup index for cache hit statistics\n 53→CREATE INDEX idx_abn_cache_last_lookup ON abn_cache (last_lookup_at);\n 54→\n 55→-- ============================================\n 56→-- FUNCTIONS\n 57→-- ============================================\n 58→\n 59→-- Function to auto-update updated_at timestamp\n 60→CREATE OR REPLACE FUNCTION update_abn_cache_updated_at()\n 61→RETURNS trigger AS $$\n 62→BEGIN\n 63→ NEW.updated_at = now();\n 64→ RETURN NEW;\n 65→END;\n 66→$$ LANGUAGE plpgsql;\n 67→\n 68→-- Trigger for updated_at\n 69→CREATE TRIGGER abn_cache_updated_at\n 70→ BEFORE UPDATE ON abn_cache\n 71→ FOR EACH ROW EXECUTE FUNCTION update_abn_cache_updated_at();\n 72→\n 73→-- Function to calculate expiry based on ABN status\n 74→CREATE OR REPLACE FUNCTION calculate_abn_expiry(abn_status text, base_date timestamptz DEFAULT now())\n 75→RETURNS timestamptz AS $$\n 76→BEGIN\n 77→ -- Valid ABNs: 30 days expiry\n 78→ IF lower(abn_status) = 'active' THEN\n 79→ RETURN base_date + INTERVAL '30 days';\n 80→ \n 81→ -- Invalid/not found ABNs: 7 days expiry (shorter to allow retry)\n 82→ ELSE\n 83→ RETURN base_date + INTERVAL '7 days';\n 84→ END IF;\n 85→END;\n 86→$$ LANGUAGE plpgsql IMMUTABLE;\n 87→\n 88→-- ============================================\n 89→-- RLS POLICIES (Read-only for authenticated users)\n 90→-- ============================================\n 91→\n 92→-- Enable RLS\n 93→ALTER TABLE abn_cache ENABLE ROW LEVEL SECURITY;\n 94→\n 95→-- Allow all authenticated users to read cached ABN data\n 96→CREATE POLICY \"Allow read access to all authenticated users\" ON abn_cache\n 97→ FOR SELECT USING (auth.role() = 'authenticated');\n 98→\n 99→-- Only service role can insert/update/delete (via API or admin operations)\n 100→CREATE POLICY \"Service role can manage cache\" ON abn_cache\n 101→ FOR ALL USING (auth.jwt() ->> 'role' = 'service_role');\n 102→\n 103→-- ============================================\n 104→-- HELPER FUNCTIONS FOR API INTEGRATION\n 105→-- ============================================\n 106→\n 107→-- Function to get cached ABN (returns null if expired or not found)\n 108→CREATE OR REPLACE FUNCTION get_cached_abn(p_abn text)\n 109→RETURNS TABLE (\n 110→ id uuid,\n 111→ abn text,\n 112→ company_name text,\n 113→ status text,\n 114→ status_date text,\n 115→ state text,\n 116→ postcode text,\n 117→ entity_type text,\n 118→ entity_type_code text,\n 119→ gst_registered boolean,\n 120→ acn text,\n 121→ cached_at timestamptz,\n 122→ expires_at timestamptz,\n 123→ lookup_count integer,\n 124→ last_lookup_at timestamptz,\n 125→ abr_response jsonb\n 126→) AS $$\n 127→BEGIN\n 128→ RETURN QUERY\n 129→ SELECT \n 130→ ac.id,\n 131→ ac.abn,\n 132→ ac.company_name,\n 133→ ac.status,\n 134→ ac.status_date,\n 135→ ac.state,\n 136→ ac.postcode,\n 137→ ac.entity_type,\n 138→ ac.entity_type_code,\n 139→ ac.gst_registered,\n 140→ ac.acn,\n 141→ ac.cached_at,\n 142→ ac.expires_at,\n 143→ ac.lookup_count,\n 144→ ac.last_lookup_at,\n 145→ ac.abr_response\n 146→ FROM abn_cache ac\n 147→ WHERE ac.abn = p_abn \n 148→ AND ac.expires_at > now() -- Not expired\n 149→ LIMIT 1;\n 150→END;\n 151→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 152→\n 153→-- Function to get cache statistics\n 154→CREATE OR REPLACE FUNCTION get_abn_cache_stats()\n 155→RETURNS TABLE (\n 156→ total_cached bigint,\n 157→ active_entries bigint,\n 158→ expired_entries bigint,\n 159→ avg_lookups numeric,\n 160→ max_lookups integer\n 161→) AS $$\n 162→BEGIN\n 163→ RETURN QUERY\n 164→ SELECT \n 165→ COUNT(*) as total_cached,\n 166→ COUNT(*) FILTER (WHERE expires_at > now()) as active_entries,\n 167→ COUNT(*) FILTER (WHERE expires_at <= now()) as expired_entries,\n 168→ AVG(lookup_count) as avg_lookups,\n 169→ MAX(lookup_count) as max_lookups\n 170→ FROM abn_cache;\n 171→END;\n 172→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 173→\n 174→-- Function to increment lookup count and update last_lookup_at\n 175→CREATE OR REPLACE FUNCTION increment_abn_lookup(p_abn text)\n 176→RETURNS void AS $$\n 177→BEGIN\n 178→ UPDATE abn_cache \n 179→ SET \n 180→ lookup_count = lookup_count + 1,\n 181→ last_lookup_at = now()\n 182→ WHERE abn = p_abn;\n 183→END;\n 184→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 185→\n 186→-- ============================================\n 187→-- CLEANUP FUNCTION (can be run periodically)\n 188→-- ============================================\n 189→\n 190→CREATE OR REPLACE FUNCTION cleanup_expired_abn_cache()\n 191→RETURNS TABLE (deleted_count integer) AS $$\n 192→DECLARE\n 193→ deleted integer;\n 194→BEGIN\n 195→ DELETE FROM abn_cache \n 196→ WHERE expires_at <= now();\n 197→ \n 198→ GET DIAGNOSTICS deleted = ROW_COUNT;\n 199→ RETURN QUERY SELECT deleted;\n 200→END;\n 201→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 202→\n 203→-- ============================================\n 204→-- INITIAL DATA (if needed)\n 205→-- ============================================\n 206→\n 207→-- Insert some common test ABNs for development (optional)\n 208→-- These will be overwritten by real data when looked up\n 209→/*\n 210→INSERT INTO abn_cache (\n 211→ abn, \n 212→ company_name, \n 213→ status, \n 214→ status_date, \n 215→ state, \n 216→ postcode, \n 217→ entity_type, \n 218→ entity_type_code, \n 219→ gst_registered, \n 220→ acn,\n 221→ expires_at\n 222→) VALUES \n 223→ ('51824753556', 'TEST COMPANY PTY LTD', 'Active', '2020-01-01', 'NSW', '2000', 'Australian Private Company', 'PRV', true, '123456789', now() + INTERVAL '30 days'),\n 224→ ('34241177887', 'EXAMPLE BUILDERS PTY LTD', 'Active', '2019-06-15', 'VIC', '3000', 'Australian Private Company', 'PRV', true, '987654321', now() + INTERVAL '30 days')\n 225→ON CONFLICT (abn) DO NOTHING;\n 226→*/\n 227→\n 228→-- ============================================\n 229→-- VERIFICATION QUERIES\n 230→-- ============================================\n 231→\n 232→-- Check cache statistics\n 233→/*\n 234→SELECT \n 235→ COUNT(*) as total_cached,\n 236→ COUNT(*) FILTER (WHERE expires_at > now()) as active_entries,\n 237→ COUNT(*) FILTER (WHERE expires_at <= now()) as expired_entries,\n 238→ AVG(lookup_count) as avg_lookups,\n 239→ MAX(lookup_count) as max_lookups\n 240→FROM abn_cache;\n 241→*/\n 242→\n 243→-- Check cache hit rate (run this after some usage)\n 244→/*\n 245→SELECT \n 246→ status,\n 247→ COUNT(*) as count,\n 248→ AVG(lookup_count) as avg_lookups,\n 249→ MIN(cached_at) as first_cached,\n 250→ MAX(last_lookup_at) as last_lookup\n 251→FROM abn_cache \n 252→WHERE expires_at > now()\n 253→GROUP BY status\n 254→ORDER BY count DESC;\n 255→*/\n\n\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\n"}]},"uuid":"bab61611-d8f7-442b-bad3-61f7ec9b1b40","timestamp":"2026-02-10T05:47:52.048Z","sourceToolAssistantUUID":"387d8fe4-824f-49a5-afe5-9146556e0466"}
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{"parentUuid":"62670b62-172f-47ce-9285-92f05cf04fbf","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CR9GGWu8gazWoQZP8G1A8M","type":"tool_result","content":" 1→-- Add display_name column to profiles for anonymous pre-hire worker identity\n 2→ALTER TABLE profiles ADD COLUMN IF NOT EXISTS display_name text;\n 3→\n 4→-- Drop and recreate get_conversation_previews (return type changed)\n 5→DROP FUNCTION IF EXISTS get_conversation_previews(uuid, integer, integer);\n 6→CREATE OR REPLACE FUNCTION get_conversation_previews(\n 7→ user_id uuid,\n 8→ page_limit integer DEFAULT 20,\n 9→ page_offset integer DEFAULT 0\n 10→)\n 11→RETURNS TABLE (\n 12→ conversation_id uuid,\n 13→ other_participant_name text,\n 14→ other_participant_avatar text,\n 15→ last_message text,\n 16→ last_message_time timestamptz,\n 17→ unread_count bigint,\n 18→ other_participant_is_online boolean,\n 19→ other_participant_display_name text,\n 20→ other_participant_type text\n 21→) AS $$\n 22→BEGIN\n 23→ RETURN QUERY\n 24→ SELECT\n 25→ c.id as conversation_id,\n 26→ p.name as other_participant_name,\n 27→ p.avatar_url as other_participant_avatar,\n 28→ last_msg.content as last_message,\n 29→ last_msg.created_at as last_message_time,\n 30→ COALESCE(unread.unread_count, 0) as unread_count,\n 31→ COALESCE(p.last_seen_at > (now() - interval '5 minutes'), false) as other_participant_is_online,\n 32→ p.display_name as other_participant_display_name,\n 33→ p.type::text as other_participant_type\n 34→ FROM conversations c\n 35→ INNER JOIN conversation_participants cp ON c.id = cp.conversation_id\n 36→ INNER JOIN conversation_participants other_cp ON c.id = other_cp.conversation_id\n 37→ INNER JOIN profiles p ON other_cp.profile_id = p.id\n 38→ LEFT JOIN LATERAL (\n 39→ SELECT content, created_at\n 40→ FROM messages\n 41→ WHERE conversation_id = c.id\n 42→ ORDER BY created_at DESC\n 43→ LIMIT 1\n 44→ ) last_msg ON true\n 45→ LEFT JOIN LATERAL (\n 46→ SELECT COUNT(*) as unread_count\n 47→ FROM messages\n 48→ WHERE conversation_id = c.id\n 49→ AND sender_id != user_id\n 50→ AND created_at > cp.last_read_at\n 51→ ) unread ON true\n 52→ WHERE cp.profile_id = user_id\n 53→ AND other_cp.profile_id != user_id\n 54→ ORDER BY last_msg.created_at DESC NULLS LAST\n 55→ LIMIT page_limit\n 56→ OFFSET page_offset;\n 57→END;\n 58→$$ LANGUAGE plpgsql STABLE\n 59→SET search_path = public;\n 60→\n 61→-- Update find_matching_workers to include display_name in profile jsonb\n 62→CREATE OR REPLACE FUNCTION find_matching_workers(\n 63→ p_job_id uuid,\n 64→ p_limit integer DEFAULT 20,\n 65→ p_min_score integer DEFAULT 20\n 66→)\n 67→RETURNS TABLE (\n 68→ worker_id uuid,\n 69→ score integer,\n 70→ summary text,\n 71→ reasons text[],\n 72→ profile jsonb\n 73→) AS $$\n 74→DECLARE\n 75→ v_job_record RECORD;\n 76→ v_job_location point;\n 77→BEGIN\n 78→ SELECT\n 79→ j.id,\n 80→ j.trade,\n 81→ j.certifications_required,\n 82→ j.start_date,\n 83→ j.duration,\n 84→ j.suburb,\n 85→ j.location,\n 86→ j.company_id\n 87→ INTO v_job_record\n 88→ FROM jobs j\n 89→ WHERE j.id = p_job_id AND j.status = 'active';\n 90→\n 91→ IF v_job_record IS NULL THEN\n 92→ RETURN;\n 93→ END IF;\n 94→\n 95→ v_job_location := v_job_record.location;\n 96→\n 97→ RETURN QUERY\n 98→ WITH\n 99→ existing_matches AS (\n 100→ SELECT m.worker_id AS excluded_worker_id\n 101→ FROM matches m\n 102→ WHERE m.job_id = p_job_id\n 103→ ),\n 104→ worker_ratings AS (\n 105→ SELECT\n 106→ r.to_id AS rating_worker_id,\n 107→ AVG(r.score)::decimal AS avg_rating,\n 108→ COUNT(*)::integer AS rating_count\n 109→ FROM ratings r\n 110→ GROUP BY r.to_id\n 111→ ),\n 112→ scored_workers AS (\n 113→ SELECT\n 114→ p.id AS worker_profile_id,\n 115→ p.name AS worker_name,\n 116→ p.display_name AS worker_display_name,\n 117→ p.suburb AS worker_suburb,\n 118→ p.location AS worker_location,\n 119→ wp.trades AS worker_trades,\n 120→ wp.availability AS worker_availability,\n 121→ wp.experience_years,\n 122→ wp.certifications AS worker_certs,\n 123→ wp.bio,\n 124→ wp.white_card_verified,\n 125→ CASE\n 126→ WHEN v_job_record.trade = ANY(wp.trades) THEN 40\n 127→ WHEN 'Labourer' = ANY(wp.trades) THEN 10\n 128→ WHEN v_job_record.trade IN ('Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder')\n 129→ AND wp.trades && ARRAY['Steel Fixer', 'Formworker', 'Concreter', 'Scaffolder']::text[] THEN 15\n 130→ WHEN v_job_record.trade IN ('Painter', 'Tiler', 'Plasterer')\n 131→ AND wp.trades && ARRAY['Painter', 'Tiler', 'Plasterer']::text[] THEN 15\n 132→ WHEN v_job_record.trade IN ('Electrician', 'Plumber')\n 133→ AND wp.trades && ARRAY['Electrician', 'Plumber']::text[] THEN 15\n 134→ WHEN v_job_record.trade IN ('Crane Operator', 'Excavator Operator')\n 135→ AND wp.trades && ARRAY['Crane Operator', 'Excavator Operator']::text[] THEN 15\n 136→ WHEN v_job_record.trade IN ('Bricklayer', 'Roofer', 'Welder')\n 137→ AND wp.trades && ARRAY['Bricklayer', 'Roofer', 'Welder']::text[] THEN 15\n 138→ ELSE 0\n 139→ END AS trade_score,\n 140→ CASE wp.availability\n 141→ WHEN 'flexible' THEN 20\n 142→ WHEN 'full-time' THEN 18\n 143→ WHEN 'casual' THEN 12\n 144→ WHEN 'weekends' THEN 8\n 145→ ELSE 0\n 146→ END AS availability_score,\n 147→ CASE\n 148→ WHEN wp.experience_years >= 10 THEN 15\n 149→ WHEN wp.experience_years >= 7 THEN 13\n 150→ WHEN wp.experience_years >= 4 THEN 11\n 151→ WHEN wp.experience_years >= 2 THEN 8\n 152→ WHEN wp.experience_years >= 1 THEN 5\n 153→ WHEN wp.experience_years IS NOT NULL THEN 2\n 154→ ELSE 0\n 155→ END AS experience_score,\n 156→ CASE\n 157→ WHEN array_length(v_job_record.certifications_required, 1) IS NULL\n 158→ OR array_length(v_job_record.certifications_required, 1) = 0 THEN 15\n 159→ ELSE\n 160→ ROUND(\n 161→ (\n 162→ COALESCE(\n 163→ array_length(\n 164→ ARRAY(\n 165→ SELECT unnest(v_job_record.certifications_required)\n 166→ INTERSECT\n 167→ SELECT unnest(wp.certifications)\n 168→ ),\n 169→ 1\n 170→ ),\n 171→ 0\n 172→ )::decimal /\n 173→ array_length(v_job_record.certifications_required, 1)\n 174→ ) * 15\n 175→ )\n 176→ END AS cert_score,\n 177→ CASE\n 178→ WHEN v_job_location IS NULL OR p.location IS NULL THEN 0\n 179→ WHEN p.location <-> v_job_location < 0.01 THEN 10\n 180→ WHEN p.location <-> v_job_location < 0.05 THEN 7\n 181→ WHEN p.location <-> v_job_location < 0.1 THEN 5\n 182→ WHEN p.suburb = v_job_record.suburb THEN 10\n 183→ WHEN p.suburb ILIKE '%' || v_job_record.suburb || '%'\n 184→ OR v_job_record.suburb ILIKE '%' || p.suburb || '%' THEN 7\n 185→ ELSE 0\n 186→ END AS location_score,\n 187→ COALESCE(\n 188→ ROUND((wr.avg_rating / 5.0) * 10),\n 189→ 0\n 190→ ) AS rating_score,\n 191→ wr.avg_rating,\n 192→ wr.rating_count\n 193→ FROM profiles p\n 194→ INNER JOIN worker_profiles wp ON wp.profile_id = p.id\n 195→ LEFT JOIN worker_ratings wr ON wr.rating_worker_id = p.id\n 196→ WHERE\n 197→ p.onboarding_completed = true\n 198→ AND p.type = 'worker'\n 199→ AND p.id NOT IN (SELECT excluded_worker_id FROM existing_matches)\n 200→ ),\n 201→ final_scores AS (\n 202→ SELECT\n 203→ sw.*,\n 204→ (sw.trade_score + sw.availability_score + sw.experience_score +\n 205→ sw.cert_score + sw.location_score + sw.rating_score) AS total_score,\n 206→ ARRAY_REMOVE(ARRAY[\n 207→ CASE WHEN sw.trade_score = 40 THEN 'Trades as ' || v_job_record.trade\n 208→ WHEN sw.trade_score = 15 THEN 'Related trade experience'\n 209→ WHEN sw.trade_score = 10 THEN 'General labourer available'\n 210→ ELSE NULL END,\n 211→ CASE WHEN sw.availability_score > 0 THEN 'Available ' || sw.worker_availability ELSE NULL END,\n 212→ CASE WHEN sw.experience_score > 0 THEN sw.experience_years || '+ years experience' ELSE NULL END,\n 213→ CASE WHEN sw.cert_score > 0 AND array_length(v_job_record.certifications_required, 1) > 0\n 214→ THEN 'Has required certifications' ELSE NULL END,\n 215→ CASE WHEN sw.location_score > 0 THEN 'Based in ' || sw.worker_suburb ELSE NULL END,\n 216→ CASE WHEN sw.rating_score >= 8 THEN ROUND(sw.avg_rating::numeric, 1) || ' star rating' ELSE NULL END\n 217→ ], NULL) AS match_reasons\n 218→ FROM scored_workers sw\n 219→ )\n 220→ SELECT\n 221→ fs.worker_profile_id,\n 222→ LEAST(fs.total_score, 100) AS score,\n 223→ array_to_string(fs.match_reasons[:3], '. ') || '.' AS summary,\n 224→ fs.match_reasons AS reasons,\n 225→ jsonb_build_object(\n 226→ 'id', fs.worker_profile_id,\n 227→ 'name', fs.worker_name,\n 228→ 'display_name', fs.worker_display_name,\n 229→ 'suburb', fs.worker_suburb,\n 230→ 'trades', fs.worker_trades,\n 231→ 'experience_years', fs.experience_years,\n 232→ 'availability', fs.worker_availability,\n 233→ 'certifications', fs.worker_certs,\n 234→ 'bio', fs.bio,\n 235→ 'white_card_verified', fs.white_card_verified,\n 236→ 'avg_rating', COALESCE(fs.avg_rating, 0),\n 237→ 'rating_count', COALESCE(fs.rating_count, 0)\n 238→ ) AS profile\n 239→ FROM final_scores fs\n 240→ WHERE fs.total_score >= p_min_score\n 241→ ORDER BY fs.total_score DESC, fs.experience_years DESC NULLS LAST\n 242→ LIMIT p_limit;\n 243→END;\n 244→$$ LANGUAGE plpgsql SECURITY DEFINER;\n 245→\n\n\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\n"}]},"uuid":"03f6eb70-9aa1-4074-8105-5f53dc60aa02","timestamp":"2026-02-10T05:47:52.656Z","sourceToolAssistantUUID":"62670b62-172f-47ce-9285-92f05cf04fbf"}
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{"parentUuid":"2cc35a0d-5632-48e8-ba57-d9cc4f87fd49","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JZSxbJLvh3WXxmxacR3a7B","type":"tool_result","content":"31: updated_at timestamptz DEFAULT now(),\n59:-- Function to auto-update updated_at timestamp\n60:CREATE OR REPLACE FUNCTION update_abn_cache_updated_at()\n63: NEW.updated_at = now();\n68:-- Trigger for updated_at\n69:CREATE TRIGGER abn_cache_updated_at\n71: FOR EACH ROW EXECUTE FUNCTION update_abn_cache_updated_at();"}]},"uuid":"d427f996-2788-4488-b4ff-7b67755bf63d","timestamp":"2026-02-10T05:48:02.803Z","sourceToolAssistantUUID":"2cc35a0d-5632-48e8-ba57-d9cc4f87fd49"}
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{"parentUuid":"c69e08b8-da9a-48c4-a857-e81b55242bdc","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kmz1x6sXcutLFiUTK1iqmx","type":"tool_result","content":"/home/ccuser/the-50-dollar-app/supabase/migrations/20260208000004_add_last_seen_at.sql:55:SET search_path = public;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20250121000001_add_match_scoring_rpc.sql:204:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql:151:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql:172:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql:184:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql:201:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260208000002_fix_messaging_search_path.sql:1:-- Fix messaging functions: add SET search_path = public to prevent SQL injection\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260208000002_fix_messaging_search_path.sql:2:-- These were created in add-messaging.sql without search_path protection\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260208000002_fix_messaging_search_path.sql:53:SET search_path = public;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260208000002_fix_messaging_search_path.sql:81:SET search_path = public;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000002_add_display_name.sql:59:SET search_path = public;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000002_add_display_name.sql:244:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:1:-- Deep audit fixes: search_path + RLS policies\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:6:-- 1. ADD SET search_path TO ALL PUBLIC FUNCTIONS\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:7:-- Prevents search_path injection attacks.\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:11:-- get_average_rating: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:12:-- get_conversation_previews: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:13:-- get_or_create_conversation: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:14:-- get_rating_count: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:15:-- update_updated_at: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000002_deep_audit_fixes.sql:16:-- validate_payment_creation: already recreated with SET search_path = public\n/home/ccuser/the-50-dollar-app/supabase/schema.sql:386:$$ LANGUAGE plpgsql SECURITY DEFINER;\n/home/ccuser/the-50-dollar-app/supabase/schema.sql:610:$$ LANGUAGE plpgsql SECURITY DEFINER;"}]},"uuid":"83247f79-c2c0-4408-999b-8dabefa8439b","timestamp":"2026-02-10T05:48:03.653Z","sourceToolAssistantUUID":"c69e08b8-da9a-48c4-a857-e81b55242bdc"}
{"parentUuid":"83247f79-c2c0-4408-999b-8dabefa8439b","isSidechain":true,"userType":"external","cwd":"/home/ccuser/rateright-growth","sessionId":"f156eb3b-9979-4ab0-b724-9f091858c323","version":"2.1.37","gitBranch":"main","agentId":"a5dbcd9","slug":"calm-frolicking-swan","message":{"model":"claude-opus-4-6","id":"msg_015gmkVDU4bFEjvhwZ6qCiAV","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a comprehensive understanding of the entire codebase. Here is the detailed audit report.\n\n---\n\n## Detailed Security & Code Quality Audit: `/home/ccuser/the-50-dollar-app/src/lib/` and Supabase Migrations\n\n---\n\n### 1. SUPABASE CLIENT CONFIGURATION\n\n**Files:** `/home/ccuser/the-50-dollar-app/src/lib/supabase/client.ts`, `server.ts`, `middleware.ts`\n\n#### 1.1 Non-null assertion on environment variables (Medium)\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/supabase/client.ts`, lines 12-13\n```ts\nconst supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL!\nconst supabaseAnonKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!\n```\nThe `!` non-null assertion is also used in `middleware.ts` lines 23-24. If the environment variables are not set, these will be `undefined` at runtime, and the Supabase client will be created with `undefined` values. This will produce cryptic errors at request time rather than a clear startup failure. The `server.ts` file properly validates these in `getSupabaseAdmin()` but the regular `createClient()` function (line 16-38) has the same problem.\n\n#### 1.2 Admin client is a global singleton (Low-Medium)\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/supabase/server.ts`, lines 42-82\n```ts\nlet _supabaseAdmin: SupabaseClient | null = null;\n```\nThe admin client (with the service role key) is lazily initialized as a module-level singleton. While this is efficient, it means the admin client persists for the entire lifetime of the process. In a serverless environment like Vercel, this is usually fine, but in a long-running server it could lead to stale connections. More importantly, any accidental import of `getSupabaseAdmin()` from a client-side module would expose the service key path.\n\n#### 1.3 Swallowed cookie-set error in server client (Low)\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/supabase/server.ts`, lines 31-34\n```ts\n} catch {\n // Cookies can only be set in Server Actions or Route Handlers\n}\n```\nThe empty catch block silently swallows all errors when setting cookies, not just the \"can't set cookies in Server Component\" error. If there is a genuine cookie-related bug (e.g., malformed cookie name), it will be silently ignored.\n\n---\n\n### 2. DATABASE QUERY SECURITY & RLS\n\n#### 2.1 ABN cache bypasses RLS by design (Acknowledged, but risky)\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/abn-cache.ts`\nEvery function in `abn-cache.ts` uses `getSupabaseAdmin()` (service role), which bypasses Row Level Security entirely. The ABN cache table does have proper RLS policies (service_role for writes, authenticated for reads), but the application code never exercises RLS because it always uses the admin client. If this pattern is copied to other data access functions, it could lead to accidental RLS bypasses for user data.\n\n#### 2.2 `find_matching_workers` uses SECURITY DEFINER without search_path\n**File:** `/home/ccuser/the-50-dollar-app/supabase/schema.sql`, line 610\n```sql\n$$ LANGUAGE plpgsql SECURITY DEFINER;\n```\nThe `find_matching_workers` function in the original `schema.sql` is declared `SECURITY DEFINER` (runs as the function owner, typically `postgres`) but does not have `SET search_path = public`. While the migration in `20260208000002_fix_messaging_search_path.sql` fixed this for messaging functions, and `20260209000002_deep_audit_fixes.sql` mentions it was already addressed, the `find_matching_workers` function itself was never explicitly re-created with `SET search_path = public` in any migration. The `20260210000002_add_display_name.sql` migration recreates it but still lacks `SET search_path = public` (line 244):\n```sql\n$$ LANGUAGE plpgsql SECURITY DEFINER;\n```\nThis is a search_path injection risk for a SECURITY DEFINER function.\n\n#### 2.3 ABN cache SECURITY DEFINER functions missing search_path\n**File:** `/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql`\nFour functions are declared `SECURITY DEFINER` without `SET search_path = public`:\n- `get_cached_abn` (line 151)\n- `get_abn_cache_stats` (line 172)\n- `increment_abn_lookup` (line 184)\n- `cleanup_expired_abn_cache` (line 201)\n\nAll are vulnerable to the same search_path injection attack that was previously fixed for messaging functions.\n\n#### 2.4 `handle_new_user` is SECURITY DEFINER (Correct, but high-impact)\n**File:** `/home/ccuser/the-50-dollar-app/supabase/schema.sql`, line 386\nThis trigger function runs as superuser. While it does have the exception handling, its `schema.sql` version does not include `SET search_path = public`. The deep audit comments say this was already fixed, but the base schema file still lacks it, which could cause confusion if `schema.sql` is ever re-applied.\n\n#### 2.5 Conversations INSERT policy missing for the `conversations` table itself\n**File:** `/home/ccuser/the-50-dollar-app/supabase/add-messaging.sql`\nRLS is enabled on the `conversations` table, but there is no INSERT policy for it. The `get_or_create_conversation` function creates conversations using `SECURITY DEFINER`, so it bypasses RLS. However, if application code ever tries to insert a conversation directly (without using the RPC function), it will be denied by RLS.\n\n#### 2.6 Profiles are publicly readable (Design concern)\n**File:** `/home/ccuser/the-50-dollar-app/supabase/schema.sql`, lines 227-229\n```sql\nCREATE POLICY \"Public profiles are viewable by everyone\"\n ON profiles FOR SELECT\n USING (true);\n```\nAll profiles (including email, phone, location, and avatar_url) are readable by any authenticated user. The `profiles` table stores PII (name, phone, email, location). Even with the anon key, any authenticated user can query all profile data. Combined with the `USING (true)` policy, this means any logged-in user can enumerate all worker and contractor profiles.\n\n#### 2.7 Duplicate ABN uniqueness migrations\n**Files:** `20260208000001_add_abn_uniqueness_constraint.sql` and `20260209000001_add_abn_unique_constraint.sql`\nTwo separate migrations exist for the same purpose. The first uses `ALTER TABLE ... ADD CONSTRAINT ... UNIQUE` (which blocks NULLs from being unique), and the second drops it and creates a partial unique index instead. If these were both applied, the first one would have been undone by the second. If only the schema was applied, neither fix exists. This is confusing and could lead to either missing the constraint or applying it incorrectly.\n\n#### 2.8 DELETE policies allow payment deletion by company owners (Critical)\n**File:** `/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000003_add_delete_policies.sql`, lines 67-75\n```sql\nCREATE POLICY \"Company owners can delete their payments\"\n ON payments FOR DELETE\n USING (company_id IN (\n SELECT id FROM companies WHERE profile_id = auth.uid()\n ));\n```\nAllowing company owners to DELETE payment records is a financial audit risk. Payment records should generally be immutable for compliance and dispute resolution. A contractor could delete evidence of a payment they made.\n\n#### 2.9 Match deletion too permissive\n**File:** `/home/ccuser/the-50-dollar-app/supabase/migrations/20260209000003_add_delete_policies.sql`, lines 46-57\nThe `Involved parties can delete matches` policy allows deletion of matches in any status, including `hired`. The earlier migration (`20260209000002_deep_audit_fixes.sql`) had a more restrictive version that only allowed deletion of `applied` or `suggested` matches. The later migration (`20260209000003`) replaced it with an unrestricted version.\n\n---\n\n### 3. TYPE SAFETY ISSUES\n\n#### 3.1 Widespread use of `any` type in ABN cache\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/abn-cache.ts`\n- Line 25: `abrResponse?: any` in `CachedABNData` interface\n- Line 62: `const row = data as Record`\n- Line 166, 203: More `Record` casts\n\nThe RPC responses are cast to `Record` without validation, losing all type safety.\n\n#### 3.2 No generated Supabase types\nThe project does not appear to use Supabase's `supabase gen types` tooling to generate TypeScript types from the database schema. The `/home/ccuser/the-50-dollar-app/src/lib/types.ts` file defines types manually, which means they can drift from the actual database schema. For example, the `Profile` type does not include `display_name` or `last_seen_at`, even though those columns were added in migrations `20260208000004` and `20260210000002`.\n\n#### 3.3 `extractWebsiteFromABR` accepts `any` parameter\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/company-utils.ts`, line 120\n```ts\nexport function extractWebsiteFromABR(abrData: any): string | null {\n```\nThe parameter type is `any` with no runtime validation.\n\n#### 3.4 `useAsyncError` uses `any[]` for deps\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/error-handling.tsx`, line 49\n```ts\ndeps: any[] = []\n```\nThe dependency array is typed as `any[]` and the `useCallback` call on line 70 passes `deps` directly, which suppresses the React hooks exhaustive-deps lint rule.\n\n#### 3.5 `ErrorResponse.details` is typed as `any`\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/api-errors.ts`, line 55\n```ts\ndetails?: any;\n```\n\n---\n\n### 4. MISSING ERROR HANDLING\n\n#### 4.1 `messaging.ts` exposes raw error messages\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/messaging.ts`, line 27\n```ts\nthrow new Error(`Failed to get or create conversation: ${error.message}`);\n```\nThe raw Supabase error message is included in the thrown error. If this bubbles up to the client, it could reveal database schema details or internal function names.\n\n#### 4.2 `verifyEmail` throws raw Supabase error\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/supabase/server.ts`, line 103\n```ts\nif (error) throw error;\n```\nThe raw Supabase admin API error is thrown directly without wrapping it in a user-friendly error.\n\n#### 4.3 `voice-complete-test.ts` has no error handling\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/voice-complete-test.ts`, lines 33-43\nThe `testVoiceCompleteEndpoint` function makes a fetch call with no error handling. This appears to be a test utility, but it is in the production `src/lib` directory.\n\n---\n\n### 5. STRIPE INTEGRATION ISSUES\n\n#### 5.1 Stripe initialized with empty string fallback\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/stripe/server.ts`, line 5\n```ts\nexport const stripe = new Stripe(process.env.STRIPE_SECRET_KEY || '', {\n```\nIf `STRIPE_SECRET_KEY` is not set, Stripe is initialized with an empty string. The `validateStripeConfig()` function on line 11 validates it, but `stripe` is already exported as a module-level constant. Any code that imports `stripe` directly (without calling `validateStripeConfig()` first) will get a client configured with an empty key, which will fail with confusing errors. The `validateStripeConfig()` function is not called automatically.\n\n#### 5.2 No idempotency key for PaymentIntent creation\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/stripe/server.ts`, lines 35-48\nThe `createPaymentIntent` function does not use Stripe's `idempotencyKey` option. If a network retry causes the function to be called twice with the same parameters, it will create duplicate PaymentIntents.\n\n#### 5.3 `amount` parameter allows negative or zero values\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/stripe/server.ts`, line 37\n```ts\namount: Math.round(amount * 100),\n```\nThere is no validation that `amount` is positive. A negative or zero amount would be sent to Stripe (which Stripe would reject, but the error message would be unhelpful).\n\n#### 5.4 Payment amount constant not used in Stripe integration\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/constants.ts`, line 2\n```ts\nexport const PAYMENT_AMOUNT = 50.0;\n```\nThe `$50` payment amount is defined as a constant, but the `createPaymentIntent` function in `stripe/server.ts` accepts an arbitrary `amount` parameter. The constant is never referenced in the Stripe integration, so the actual payment amount is whatever the caller passes.\n\n---\n\n### 6. RATE LIMITING CONFIGURATION\n\n#### 6.1 In-memory rate limiter will not work in serverless\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/rate-limit.ts`\nThe fallback in-memory rate limiter (lines 31-52) uses a `Map` stored in module scope. In a serverless environment (Vercel), each invocation may run in a different isolate, so the in-memory store provides essentially no rate limiting. The code does attempt to use Upstash Redis first (which would work), but if Redis is not configured, the rate limiting is effectively disabled.\n\n#### 6.2 `startRateLimitCleanup()` runs at module load time\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/rate-limit.ts`, line 224\n```ts\nstartRateLimitCleanup();\n```\nThis starts a `setInterval` timer as a module-level side effect. In a serverless environment, this timer will keep the function alive and may cause cold start overhead. The `unref()` call on line 66 mitigates this for Node.js, but it is conditional (`if (cleanupInterval.unref)`).\n\n#### 6.3 Rate limit constants defined in two places\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/constants.ts` defines `RATE_LIMIT_REQUESTS_PER_IP = 5` and `RATE_LIMIT_REQUESTS_PER_USER = 10`, while `/home/ccuser/the-50-dollar-app/src/lib/rate-limit.ts` defines `MAX_REQUESTS = 100`. These appear to be for different purposes but the naming could cause confusion. The `constants.ts` values are not imported or used by `rate-limit.ts`.\n\n#### 6.4 IP extraction trusts `x-forwarded-for` header\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/rate-limit.ts`, lines 148-154\n```ts\nconst forwarded = request.headers.get(\"x-forwarded-for\");\nif (forwarded) return forwarded.split(\",\")[0].trim();\n```\nThe `x-forwarded-for` header can be spoofed by clients. If there is no trusted proxy that strips/resets this header, an attacker can send arbitrary IPs to bypass rate limiting. This is a common issue in production deployments behind load balancers.\n\n---\n\n### 7. LOGGER SETUP\n\n#### 7.1 Logger is completely silent in production (Critical)\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/logger.ts`, lines 9-23\n```ts\nconst isDevelopment = process.env.NODE_ENV === 'development';\nconst pinoLogger = pino({\n level: isDevelopment ? 'debug' : 'silent',\n```\nAnd then every log method is wrapped in `if (isDevelopment)` checks (lines 40-74). This means **zero logging in production**. Errors, warnings, security events, and all diagnostic information are completely silenced. If there is a production incident, there will be no application logs to debug it.\n\nThis is arguably the most impactful issue in the codebase. Production errors from Stripe webhook failures, Supabase query failures, CSRF validation failures, rate limit events, and ABN cache errors are all silently swallowed.\n\n---\n\n### 8. CSRF PROTECTION\n\n#### 8.1 CSRF cookie is not HttpOnly\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/csrf.ts`, line 23\n```ts\nlet cookie = `${CSRF_COOKIE_NAME}=${token}; Path=/; SameSite=Strict; Max-Age=86400`;\n```\nThe CSRF cookie does not have the `HttpOnly` flag. While this is intentional (the client-side code in `csrf-client.ts` needs to read it via `document.cookie`), this is the \"double-submit cookie\" pattern, and the absence of `HttpOnly` means the CSRF token can be read by any XSS payload. If you are relying on CSRF protection against XSS-combined attacks, this is a weakness.\n\n#### 8.2 `Secure` flag is conditionally applied based on app URL\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/csrf.ts`, lines 26-28\n```ts\nif (process.env.NODE_ENV === 'production' && process.env.NEXT_PUBLIC_APP_URL?.startsWith('https://')) {\n cookie += '; Secure';\n}\n```\nThe `Secure` flag is only added if `NEXT_PUBLIC_APP_URL` starts with `https://`. If this environment variable is misconfigured (e.g., starts with `http://`), the cookie will be sent over insecure connections in production.\n\n#### 8.3 `withCSRFProtection` does not handle `application/x-www-form-urlencoded`\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/csrf.ts`, lines 86-108\nThe CSRF validation only handles `application/json` and `multipart/form-data`. Standard HTML forms submit as `application/x-www-form-urlencoded`, which is not handled. The CSRF token would not be validated for such requests.\n\n---\n\n### 9. HARDCODED SECRETS OR URLS\n\n#### 9.1 No hardcoded secrets found\nNo hardcoded API keys, secrets, or tokens were found in the `src/lib/` files. All sensitive values are properly read from environment variables.\n\n#### 9.2 Hardcoded localhost fallback in CSRF\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/csrf.ts`, line 166\n```ts\nconst appUrl = new URL(process.env.NEXT_PUBLIC_APP_URL || 'http://localhost:3000');\n```\nIf `NEXT_PUBLIC_APP_URL` is not set in production, the origin check will compare against `http://localhost:3000`, which would cause all same-origin checks to fail (rejecting legitimate requests) or, worse, could be exploited if someone sends requests from `http://localhost:3000`.\n\n---\n\n### 10. SUPABASE MIGRATION ISSUES\n\n#### 10.1 Duplicate/conflicting migration files in `/supabase/` root vs `/supabase/migrations/`\nThere are SQL files in both `/home/ccuser/the-50-dollar-app/supabase/` (root level) and `/home/ccuser/the-50-dollar-app/supabase/migrations/`. The root-level files (`fix-critical-rls-insert-policies.sql`, `fix-rls-policies-migration.sql`) overlap with migration-managed files. This creates confusion about which file represents the actual applied state.\n\n#### 10.2 `schema.sql` is a full schema file, not a migration\n**File:** `/home/ccuser/the-50-dollar-app/supabase/schema.sql`\nThis is a complete schema definition rather than an incremental migration. If migrations are run sequentially, this file should not be re-run after the initial setup. But there is no mechanism preventing someone from re-applying it, which could conflict with later migrations.\n\n#### 10.3 `abn_cache` table has a redundant index\n**File:** `/home/ccuser/the-50-dollar-app/supabase/migrations/20260210000001_create_abn_cache_table.sql`, line 47\n```sql\nCREATE INDEX idx_abn_cache_abn ON abn_cache (abn);\n```\nThe `abn` column already has a `UNIQUE` constraint (line 18: `abn text NOT NULL UNIQUE`), which automatically creates a unique index. The explicit `CREATE INDEX` on line 47 creates a redundant non-unique index on the same column.\n\n#### 10.4 `get_or_create_conversation` has no authorization check\n**File:** `/home/ccuser/the-50-dollar-app/supabase/add-messaging.sql`, lines 154-179\nThe `get_or_create_conversation` function accepts two arbitrary user IDs and creates a conversation between them. There is no check that the caller (`auth.uid()`) is one of the two users. The messaging.ts file in the application calls it with server-side client (using cookies, so it has the user's context), but the function itself does not enforce this.\n\n---\n\n### 11. OTHER ISSUES\n\n#### 11.1 `voice-complete-test.ts` is a test file in production source\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/voice-complete-test.ts`\nThis is a test utility file located in the production `src/lib/` directory. It exports a function that makes unauthenticated fetch requests to the AI voice-complete API endpoint. This file should be in a `__tests__` directory or removed from production code.\n\n#### 11.2 `display-names.ts` uses `Math.random()` for anonymous identifiers\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/display-names.ts`, lines 17-22\n```ts\nconst adj = ADJECTIVES[Math.floor(Math.random() * ADJECTIVES.length)];\nconst noun = NOUNS[Math.floor(Math.random() * NOUNS.length)];\nconst num = Math.floor(Math.random() * 900) + 100;\n```\n`Math.random()` is not cryptographically secure. With 20 adjectives * 20 nouns * 900 numbers = 360,000 possible display names, there is a non-trivial collision probability. If display name uniqueness matters (e.g., for messaging), collisions could cause user confusion.\n\n#### 11.3 `sanitize.ts` applies escaping before length truncation\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/sanitize.ts`, lines 80-95\nTemplate literal escaping (`\\\\`, `\\$`, `\\``) is applied before length truncation. This means the escaping increases the string length (e.g., `$` becomes `\\$`), and then truncation could cut in the middle of an escape sequence, producing malformed output (e.g., a trailing `\\` with no following character).\n\n#### 11.4 `withErrorBoundary` in error-handling.tsx is not a proper React Error Boundary\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/error-handling.tsx`, lines 91-134\nThis HOC wraps a component and listens for the global `window.error` event to catch errors. However, React rendering errors (thrown during render) are not caught by `window.addEventListener(\"error\")`. Only class-based Error Boundaries with `componentDidCatch` can catch React rendering errors. This implementation will miss the most common type of React error.\n\n#### 11.5 `location-utils.ts` does not validate lat/lng ranges\n**File:** `/home/ccuser/the-50-dollar-app/src/lib/location-utils.ts`, lines 91-97\nThe `isValidLocation` function checks that lat/lng are numbers and not NaN, but does not validate that latitude is between -90 and 90 or longitude is between -180 and 180. For an Australian business, valid ranges would be even narrower (approximately lat: -44 to -10, lng: 113 to 154).\n\n---\n\n### SUMMARY OF ISSUES BY SEVERITY\n\n**Critical (3):**\n1. Logger is completely silent in production -- no error visibility whatsoever\n2. `find_matching_workers` and ABN cache functions are `SECURITY DEFINER` without `SET search_path = public`\n3. DELETE policy allows payment record deletion by company owners (audit/compliance risk)\n\n**High (5):**\n4. Stripe initialized with empty string if env var missing; no automatic validation\n5. No idempotency key on PaymentIntent creation\n6. In-memory rate limiter is ineffective in serverless environments\n7. All profiles (including PII) are publicly readable by any authenticated user\n8. Match deletion policy is unrestricted (can delete hired matches)\n\n**Medium (8):**\n9. Non-null assertions on Supabase env vars in client/middleware (runtime crash)\n10. `x-forwarded-for` trusted without proxy validation\n11. CSRF cookie lacks HttpOnly (by design, but XSS-exploitable)\n12. CSRF does not handle `application/x-www-form-urlencoded` content type\n13. `get_or_create_conversation` has no authorization check at the DB level\n14. Manual TypeScript types drift from actual schema (missing `display_name`, `last_seen_at`)\n15. Sanitize applies escaping before truncation, risking malformed output\n16. Raw Supabase/internal error messages exposed in thrown errors\n\n**Low (7):**\n17. Swallowed cookie-set error in server Supabase client\n18. `voice-complete-test.ts` test file in production `src/lib/`\n19. Redundant index on `abn_cache.abn`\n20. Duplicate ABN uniqueness migration files\n21. `Math.random()` for display names (collision risk)\n22. `withErrorBoundary` does not catch React rendering errors\n23. Hardcoded `http://localhost:3000` fallback for origin check"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1547,"cache_read_input_tokens":82385,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1547},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CXyrxDb6usqr7BVMnKGek","type":"assistant","uuid":"c2ed5f8b-3d06-4423-9ab8-2aa0c1b06d2e","timestamp":"2026-02-10T05:50:08.772Z"}