- Added configuration options for audit database path and retention days in backend and processor.
- Integrated audit logging in server and worker processes to track search requests, completions, and failures.
- Created utility functions for reading and parsing audit logs in end-to-end tests.
- Updated Docker Compose files to include audit database configuration.
- Added new tests to verify audit log entries for successful and no-results searches.
- Added a retry mechanism for page navigation in `live-site-test-utils.js` to handle transient errors during login.
- Introduced a new function `performLiveLoginRequest` to handle login requests via API, improving the login flow.
- Updated the login process to utilize the new API request method, ensuring a more robust authentication.
- Implemented new utility functions in `rus-ecom-240621.js` for managing FaceAI state and filtering.
- Created `faceai_photo_lookup.jsp` to handle photo lookups, returning JSON responses for better integration with the frontend.
- Updated `faceai_return.php` to redirect users with appropriate parameters after FaceAI processing.
- Modified `fotoCR.jsp` and `fotoCR-en.jsp` to include FaceAI photo IDs in the image elements for better tracking.
- Enhanced the UI to display the number of matched photos dynamically based on FaceAI results.
- Introduced processor heartbeat configuration in environment variables and Docker setup.
- Implemented heartbeat publishing in the processor worker.
- Enhanced health check endpoint to include processor availability status.
- Updated frontend components to handle processor unavailability messages.
- Added legacy return functionality in the upload panel.
- Introduced a new `processor` service in the Docker Compose setup to handle face matching jobs.
- Configured Redis as a job queue and state management system for processing searches.
- Updated the backend to enqueue jobs and manage user locks using Redis.
- Added environment variables for Redis configuration and runtime paths.
- Created technical design documentation for the processor service outlining architecture, queue model, and search lifecycle.
- Updated package.json and package-lock.json to include dependencies for BullMQ and ioredis in the processor workspace.
- Added sample PKL files for local testing in the `test_pkl` directory.
