This commit updates the `ARCHITECTURE.md` file to reflect the transition to a web-based application, including new features and system overview. Additionally, it introduces `AUTOMATCH_LOAD_ANALYSIS.md`, detailing performance issues with the Auto-Match page and recommendations for optimizations. A new document, `CONFIDENCE_CALIBRATION_SUMMARY.md`, is also added to explain the implementation of a confidence calibration system for face recognition, ensuring more accurate match probabilities. These updates enhance the project's documentation and provide insights for future improvements.
This commit improves the `run_api_with_worker.sh` script by ensuring the virtual environment is created if it doesn't exist and dependencies are installed. It also adds a check to ensure the database schema is up to date. Additionally, new functionality has been introduced to calculate and store file hashes for uploaded photos, preventing duplicates. The database schema has been updated to include a `file_hash` column in the `photos` table, along with an index for efficient querying. The frontend has been updated to handle warnings for duplicate photos during the review process. Documentation has been updated to reflect these changes.
This commit introduces several new files to enhance project organization and developer onboarding. The `.cursorignore` and `.cursorrules` files provide guidelines for Cursor AI, while `CONTRIBUTING.md` outlines contribution procedures. Additionally, `IMPORT_FIX_SUMMARY.md`, `RESTRUCTURE_SUMMARY.md`, and `STATUS.md` summarize recent changes and project status. The `README.md` has been updated to reflect the new project focus and structure, ensuring clarity for contributors and users. These additions aim to improve maintainability and facilitate collaboration within the PunimTag project.
