- Added a new API method to fetch photo images as blobs, enabling direct image retrieval.
- Updated image source paths in multiple components to use the base URL from the API client for consistency.
- Implemented cleanup for blob URLs in the ReportedPhotos component to prevent memory leaks.
- Improved user experience by displaying loading states for images in the ReportedPhotos component.
These changes improve the efficiency and reliability of photo handling in the admin interface.
This commit introduces a new `DEPLOYMENT_CHECKLIST.md` file that outlines the necessary steps for configuring server-specific settings after pulling from Git. It includes instructions for environment files, PM2 configuration, firewall rules, database setup, and building frontends. Additionally, it adds an example `ecosystem.config.js.example` file for PM2 configuration, providing a template for users to customize for their deployment environment. The `.gitignore` file is updated to include the new PM2 ecosystem config file.
This commit updates the Python linting rules by adding additional flake8 error codes to ignore in both the CI workflow and the Python linting command in package.json. It also modifies the ESLint configuration for the admin frontend to streamline the linting process by removing the max-warnings restriction.
This commit enhances the linting configurations by adding additional flake8 error codes to ignore in both the CI workflow and the Python linting command in package.json. It also modifies the ESLint configuration for the admin frontend to remove the report for unused disable directives, streamlining the linting process and reducing false positives.
This commit updates the CI workflow to include steps for auditing dependencies in both the admin and viewer frontends, ensuring that vulnerabilities are identified and addressed. Additionally, it updates the `package-lock.json` and `package.json` files to reflect the latest versions of `vite` and other dependencies, improving overall project stability and security. These changes contribute to a more robust development environment and maintain code quality.
This commit modifies the CI workflow configuration to include steps for installing Node.js, ensuring that the necessary environment is set up for subsequent build actions. Additionally, it updates the PhotoViewer component to use the correct type for the slideshow timer reference, and introduces a new function for unmatching faces in the Modify page. Unused code comments in the Tags page are also updated for clarity. These changes enhance the development workflow and maintain code quality.
This commit modifies the ESLint configuration to include an additional TypeScript project file and adjusts the maximum line length to 120 characters. It also removes unused functions and imports across various components in the admin frontend, enhancing code clarity and maintainability. These changes contribute to a cleaner codebase and improved development experience.
This commit updates the `install.sh` script to include the installation of Python tkinter, which is required for the native folder picker functionality. Additionally, the README.md is modified to reflect this new requirement, providing installation instructions for various operating systems. The documentation is further enhanced with troubleshooting tips for users encountering issues with the folder picker, ensuring a smoother setup experience.
This commit enhances the face identification process by adding validation checks for person ID and names, ensuring that users provide necessary information before proceeding. It also introduces detailed logging for better debugging and user feedback during the identification process. Additionally, error handling is improved to provide user-friendly messages in case of failures, enhancing the overall user experience.
This commit introduces a new `CANCELLED` status to the job management system, allowing users to cancel ongoing jobs. The frontend is updated to handle job cancellation requests, providing user feedback during the cancellation process. Additionally, the backend is enhanced to manage job statuses more effectively, ensuring that jobs can be marked as cancelled and that appropriate messages are displayed to users. This improvement enhances the overall user experience by providing better control over job processing.
This commit introduces a new function in the `install.sh` script to download DeepFace model weights, enhancing the setup process for users. The function checks for the presence of DeepFace and attempts to download the ArcFace model weights, providing fallback options and user-friendly messages for manual download if automatic attempts fail. This improvement streamlines the initial configuration for facial recognition capabilities in the application.
This commit introduces several new analysis documents, including Auto-Match Load Performance Analysis, Folder Picker Analysis, Monorepo Migration Summary, and various performance analysis documents. Additionally, the installation scripts are updated to reflect changes in backend service paths, ensuring proper integration with the new backend structure. These enhancements provide better documentation and streamline the setup process for users.
