- 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- Removed outdated face encoding pickle from PISA directory to maintain data relevance.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 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 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.
