- Update StorageConfig default base_path in core/config.py
- Update base_path and camera storage_paths in config.json and config.compose.json
- Update Docker Compose volume mounts to use /mnt/nfs_share
- Update start_system.sh to create /mnt/nfs_share directory
- Update convert_avi_to_mp4.sh to use new NFS path
- Update all documentation files to reflect new storage paths
- Videos now stored on NFS server at 192.168.1.249:/mnt/nfs_share/
- Deleted unused CSV files: 'meyer experiments.csv' and 'phase_2_experimental_run_sheet.csv'.
- Updated SQL seed scripts to reflect changes in experiment data structure and ensure consistency with the latest experiment parameters.
- Enhanced user role assignments in the seed data to include 'conductor' alongside 'data recorder'.
- Adjusted experiment seeding logic to align with the corrected data from the CSV files.
- Integrated react-dnd and react-dnd-html5-backend for drag-and-drop capabilities.
- Enhanced the Scheduling component to allow users to visually manage experiment repetitions on the calendar.
- Added state management for scheduled repetitions and their timing.
- Implemented select-all checkboxes for conductors and repetitions for improved user experience.
- Updated calendar event generation to include new repetition markers with distinct styles.
- Refactored event handling to support draggable repetition markers and update their timing dynamically.
- Renamed columns in the experimental run sheet CSV for clarity.
- Updated the ExperimentForm component to include new fields for weight per repetition and additional parameters specific to Meyer Cracker experiments.
- Enhanced the data entry logic to handle new experiment phases and machine types.
- Refactored repetition scheduling logic to use scheduled_date instead of schedule_status for better clarity in status representation.
- Improved the user interface for displaying experiment phases and their associated statuses.
- Removed outdated seed data and updated database migration scripts to reflect the new schema changes.
- Added functionality to load user availability from the database on component mount.
- Integrated create and delete availability features with the backend.
- Refactored event handling to manage availability slots dynamically.
- Updated supabase.ts to include methods for fetching, creating, and deleting availability records.
- Changed VITE_SUPABASE_URL in .env.example for deployment consistency.
- Added new user management functionality to reset user passwords in UserManagement component.
- Updated supabase.ts to include first and last name fields in user profiles and added password reset functionality.
- Enhanced DashboardLayout to include a user profile view and improved user display in TopNavbar.
- Updated seed.sql to create additional users with roles for testing purposes.
- Changed backdrop blur effect in multiple modal components from 32px to 2px for a more subtle appearance.
- Updated Vite configuration to use automatic JSX runtime for improved compatibility with React 17 and above.
- Added new scheduling functionality with a dedicated Scheduling component to manage availability and experiment scheduling.
- Integrated react-big-calendar for visual calendar representation of availability slots.
- Updated Dashboard and DashboardLayout components to handle current route and pass it to child components.
- Implemented route handling for scheduling sub-routes to improve user navigation.
- Added new dependencies: moment and react-big-calendar for date handling and calendar UI.
- Improved user experience with dynamic URL updates based on selected scheduling views.
- Added functionality to save and retrieve the current dashboard view in localStorage for improved user experience.
- Updated DashboardLayout component to handle view changes with access control based on user roles.
- Renamed Experiments component to ExperimentManagement for clarity.
- Introduced new ExperimentPhase interface and related utility functions for managing experiment phases.
- Updated seed data to include initial roles and experiment phases for testing.
- Cleaned up unnecessary blank lines in various files for better code readability.
- Changed camera1 references to camera2 in API endpoint documentation for start and stop recording.
- Added debug and verbose logging options in the USDA Vision System to improve debugging capabilities.
- Updated TopNavbar component for improved user experience with cursor pointer styling.
- Introduced `dev-start.sh`, `dev-stop.sh`, `dev-logs.sh`, and `dev-shell.sh` for managing the development environment.
- Added `docker-compose.dev.yml` to define services for API and web applications with appropriate configurations.
- Updated `README.md` to include instructions for development mode and commands for managing the environment.
- Implemented ApiStatusIndicator to monitor video API connection status with health check functionality.
- Created PerformanceDashboard for monitoring video streaming performance metrics in development mode.
- Developed VideoDebugger for diagnosing video streaming issues with direct access to test video URLs.
- Added VideoErrorBoundary to handle errors in video streaming components with user-friendly messages and recovery options.
- Introduced utility functions for performance monitoring and thumbnail caching to optimize video streaming operations.
- Added comprehensive tests for video streaming API connectivity and functionality.
- Introduced a new video streaming module with endpoints for listing, streaming, and managing video files.
- Added detailed API documentation for video streaming, including features like HTTP range requests, thumbnail generation, and caching.
- Created a new AI Agent Video Integration Guide with step-by-step instructions for integrating with the video streaming API.
- Implemented a video reindexing script to update video statuses from "unknown" to "completed".
- Enhanced error handling and logging throughout the video streaming and reindexing processes.
- Implemented a reusable Pagination component with first/last, previous/next, and numbered page buttons.
- Added PageInfo component to display current page and total items.
- Integrated pagination into VideoList component, allowing users to navigate through video pages.
- Updated useVideoList hook to manage current page and total pages state.
- Modified videoApi service to support pagination with offset-based API.
- Enhanced VideoCard styling for better UI consistency.
- Updated Tailwind CSS configuration to include custom colors and shadows for branding.
- Refactored video file settings to use 'h264' codec for better compatibility.
- Added FFmpegVideoConverter for video format conversion using FFmpeg.
- Implemented NoOpVideoConverter for scenarios where FFmpeg is unavailable.
- Created OpenCVMetadataExtractor for extracting video metadata.
- Developed FileSystemVideoRepository for managing video files in the file system.
- Integrated video services with dependency injection in VideoModule.
- Established API routes for video management and streaming.
- Added request/response schemas for video metadata and streaming information.
- Implemented caching mechanisms for video streaming.
- Included error handling and logging throughout the module.
- Changed machine topic from "vibratory_conveyor" to "blower_separator" for camera1
- Updated exposure and gain settings for camera1
- Added new video recording settings: video_format, video_codec, video_quality, auto_start_recording_enabled, auto_recording_max_retries, auto_recording_retry_delay_seconds
- Enhanced documentation to reflect current configuration and API alignment
- Redesigned Camera Configuration UI to display read-only fields for system and auto-recording settings
- Improved handling of video format settings in the API and frontend
- Created CURRENT_CONFIGURATION.md for complete system configuration reference
- Updated VideoModal to display web compatibility status for video formats.
- Enhanced VideoPlayer to dynamically fetch video MIME types and handle MP4 streaming.
- Introduced video file utilities for better handling of video formats and MIME types.
- Modified CameraConfig interface to include new video recording settings (format, codec, quality).
- Created comprehensive documentation for MP4 format integration and frontend implementation.
- Ensured backward compatibility with existing AVI files while promoting MP4 as the preferred format.
- Added validation and error handling for video format configurations.
- Added centralized exports for video streaming components and hooks.
- Implemented `useVideoInfo` hook for fetching and managing video metadata and streaming information.
- Developed `useVideoList` hook for managing video list state, fetching, filtering, and pagination.
- Created `useVideoPlayer` hook for managing video player state and controls.
- Established `videoApiService` for handling API interactions related to video streaming.
- Defined TypeScript types for video streaming feature, including video metadata, API responses, and component props.
- Added utility functions for video operations, formatting, and data processing.
- Created main entry point for the video streaming feature, exporting all public APIs.
- Updated CameraStreamer to configure streaming settings from config.json, including manual exposure, gain, image quality, noise reduction, and color settings.
- Added new methods in CameraStreamer for configuring image quality, noise reduction, color settings, and advanced settings.
- Extended CameraConfig to include manual white balance RGB gains.
- Improved AutoRecordingManager to handle camera status updates and ensure proper recording starts/stops based on machine state changes.
- Created detailed configuration documentation for blower and conveyor cameras, outlining settings and their mappings to config.json.
- Implemented a comprehensive test script for auto-recording functionality with simulated MQTT messages, verifying correct behavior on machine state changes.
feat: Implement useAuth hook for user authentication management
feat: Create useAutoRecording hook for managing automatic recording functionality
feat: Develop AutoRecordingManager to handle automatic recording based on MQTT events
test: Add test script to verify camera configuration API fix
test: Create HTML page for testing camera configuration API and auto-recording fields
- Implemented test script for camera streaming functionality, covering API endpoints and concurrent recording.
- Created time verification script to check system time synchronization against multiple APIs.
- Developed timezone utility tests to validate timezone functions and logging.
- Added integration tests for system components, including configuration, camera discovery, and API endpoints.
- Enhanced MQTT logging and API endpoint tests for machine and MQTT status.
- Established auto-recording tests to simulate state changes and verify automatic recording behavior.
- Created simple tests for auto-recording configuration and API model validation.
- Added instructions for implementing auto-recording functionality in the React app.
- Updated TypeScript interfaces to include new fields for auto-recording status and configuration.
- Created new API endpoints for enabling/disabling auto-recording and retrieving system status.
- Enhanced UI components to display auto-recording status, controls, and error handling.
- Developed a comprehensive Auto-Recording Feature Implementation Guide.
- Implemented a test script for validating auto-recording functionality, including configuration checks and API connectivity.
- Introduced AutoRecordingManager to manage automatic recording based on machine state changes with retry logic.
- Established a retry mechanism for failed recording attempts and integrated status tracking for auto-recording.
- Implemented streaming API endpoints for starting, stopping, and retrieving live streams from cameras.
- Added support for concurrent streaming and recording operations.
- Created test scripts for frame conversion and streaming functionality.
- Developed a CameraStreamer class to manage live preview streaming without blocking recording.
- Included error handling and logging for camera operations.
- Added configuration endpoints for camera settings and real-time updates.
- Enhanced testing scenarios for various camera configurations and error handling.
- Introduced non-blocking live preview streaming that operates independently from recording.
- Implemented REST API endpoints for starting and stopping streams, and retrieving live streams.
- Developed a web interface (`camera_preview.html`) for users to control and view camera streams.
- Created TypeScript definitions for API integration in React projects.
- Added comprehensive testing script (`test_streaming.py`) to validate API endpoints and concurrent operations.
- Updated database migration to fix visibility of experiment repetitions for all authenticated users.
- Implemented main test script to verify system components and functionality.
- Added individual test scripts for camera exposure settings, API changes, camera recovery, maximum FPS, MQTT events, logging, and timezone functionality.
- Created service file for system management and automatic startup.
- Included detailed logging and error handling in test scripts for better diagnostics.
- Ensured compatibility with existing camera SDK and API endpoints.
