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4 commits

Author SHA1 Message Date
32db61c381 feat(audit): implement audit logging for search requests and results
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Publish FaceAI Container / publish (push) Successful in 13m22s
- 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.
2026-05-19 23:29:38 +02:00
dd7d4c865b Enhance Docker and PowerShell scripts for improved functionality and maintainability
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Publish FaceAI Container / publish (push) Successful in 6m52s
- 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- Removed outdated face encoding pickle from PISA directory to maintain data relevance.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>
2026-04-22 22:45:44 +02:00
c227fce036 www in docker support 2026-04-22 18:41:37 +02:00
fed82d1ae8 End to end tests 2026-04-12 19:31:12 +02:00