- Created App.vue for the main application interface with localization support.
- Added main.js to bootstrap the Vue application.
- Introduced styles.css for application styling.
- Configured Vite for development and proxying API requests.
- Updated docker-compose files to include the new monitor service.
- Added Dockerfile for building the monitor frontend.
- Configured Nginx for serving the frontend and proxying API requests.
- Updated package.json and package-lock.json to include monitor-frontend workspace.
- Added initial SQLite database for audit monitoring.
- 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.
- Updated `run_face_encoder.bat` to include remote execution parameters for SSH and SCP.
- Refactored `run_face_encoder.ps1` to accept remote execution parameters and handle remote file operations.
- Modified `FaceAiUploadPanel.vue` to introduce consent management UI and error handling for race availability.
- Enhanced `useFaceAiHome.js` to manage consent acceptance and integrate cookie handling for biometric data processing notice.
- Updated `HomeView.vue` to streamline the upload panel and integrate consent handling logic.
Co-authored-by: Copilot <copilot@github.com>
- Updated Dockerfile to include default MySQL client for better database interaction.
- Modified entrypoint.sh to support additional workspace for legacy applications and added MySQL readiness check before startup.
- Enhanced PowerShell script for trimming MySQL dumps to include overlay dumps and improved error handling for missing race and user IDs.
- Added new image files and face encoding pickles for various projects, ensuring comprehensive data availability.
- Removed outdated face encoding pickle from PISA directory to maintain data relevance.
Co-authored-by: Copilot <copilot@github.com>
- 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.
- Added optional live FaceAI checks in README.md
- Implemented relative storage segment parsing in race-storage.js
- Updated server.js to include relative directory in race storage
- Refactored legacyAssets.js to resolve asset base URL dynamically
- Expanded live race tests to validate FaceAI app launch and metadata
- Introduced portrait image handling for live upload flow
- Updated faceai_handoff.php to process race storage relative directory
- Introduced `auth.setup.js` to handle authentication against the live site and store the session state.
- Created `live-race.spec.js` to test loading a live race page with an authenticated session, including cookie validation.
- Added utility functions in `live-site-test-utils.js` for managing authentication, dismissing cookie banners, and checking UI states.
- Included a temporary JSON file for live state inspection.
- Updated deployment manifest to reflect new and modified files.
- Implemented `_inc_faceai_identity.jsp` for managing FaceAI identity cookies and included it in relevant JSP files.
- Added language management JavaScript in `lang.js`.
- Adjusted `fotoCR-en.jsp` and `fotoCR.jsp` to include the FaceAI identity logic.
- Created a tarball for staging deployment.
- 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.
- Introduced a new workspace for FaceAI in package.json.
- Implemented FaceAI handoff logic in faceai_handoff.php, including identity verification and token signing.
- Created faceai_return.php to handle return requests from FaceAI, validating tokens and forwarding results.
- Developed faceai_simulator.php and faceai_simulator_view.php for simulating the FaceAI interface with demo photos.
- Enhanced rus-ecom-240621.js to support new FaceAI features, including dynamic URL building and button integration.
- Added faceai_config.php for configuration management, including environment variable handling and utility functions.
- Updated HTML structure and styles in simulator view for better user experience.
