Update task task-81

backlog/tasks/task-81 - Build-Telegram-bot-usage-logging-and-audit-system.md

@@ -31,3 +31,18 @@ Create a comprehensive logging system to track all Telegram bot interactions, in
 - [ ] Bot integration automatically logs all requests
 - [ ] Performance impact of logging is minimal
 - [ ] Data retention and cleanup policies are implemented
+
+## Implementation Plan
+
+1. Design and create TelegramBotLog model with fields for telegram_user_id, telegram_username, telegram_first_name, telegram_last_name, request_timestamp, fingerprint_computation_time, search_computation_time, search_results_count, response_data (JSON), and associations to BlobFile for processed images
+2. Create database migration for telegram_bot_logs table with proper indexes for performance (telegram_user_id, request_timestamp, search_results_count)
+3. Set up BlobFile association in TelegramBotLog model to store the processed image files
+4. Create TelegramBotLogsController with admin-only authorization (similar to GlobalStatesController pattern)
+5. Implement index action with filtering and pagination (by user, date range, performance metrics)
+6. Create view templates for listing and viewing individual audit logs with search and filter functionality
+7. Add logging integration to TelegramBotTask - instrument fingerprint computation time and search time
+8. Update TelegramBotTask to save processed images as BlobFiles and create audit log records for each request
+9. Add data cleanup/retention policy (e.g., delete logs older than 6 months, configurable via GlobalState)
+10. Add routes for admin audit interface following existing patterns
+11. Style views consistently with existing admin interfaces
+12. Test integration end-to-end with bot interactions and verify minimal performance impact