- Added new API endpoint `GET /api/v1/smoke/next_smoke_time` to provide AI-generated suggestions for the next smoking time based on user data.
- Introduced a new database table `fa_smoke_ai_next_smoke` to store structured AI time node suggestions.
- Updated smoke handler and service to integrate the new AI next smoke time functionality.
- Enhanced documentation to reflect the new API endpoint and its usage, including details on how to generate AI time nodes.
- Introduced new API endpoints `GET /api/v1/smoke/profile` and `PUT /api/v1/smoke/profile` for retrieving and updating user smoking profiles.
- Added a new database table `fa_smoke_user_profile` to store user-specific smoking data, including daily smoking habits and motivations.
- Updated the smoke handler and service to integrate user profile data into AI advice generation.
- Enhanced documentation to reflect the new user profile features and their usage.
- Introduced a new API endpoint `GET /api/v1/smoke/dashboard` to retrieve a summary of smoking statistics over a specified date range, including today's count and weekly breakdown.
- Added `GET /api/v1/smoke/logs/latest` endpoint to fetch the most recent smoking logs with a configurable limit.
- Updated the smoke handler and service to support the new functionality, including error handling for date parsing and limit validation.
- Enhanced documentation to reflect the new API endpoints and their usage.
- Added comments to various fields in the database models for better clarity and understanding.
- Implemented TableComment methods for several models to provide descriptive information about their purpose.
- Updated the AutoMigrate function to support setting table comments in the database.
- Improved overall documentation within the code to facilitate future maintenance and development.
- Added AI configuration options to .env.example and config.go for OpenAI integration.
- Implemented Redis caching for session management in main.go and auth middleware.
- Updated smoke logging service to support real smoking time (`smoke_at`) and AI advice retrieval.
- Enhanced API routes to include endpoints for AI advice and unlock functionality for non-members.
- Improved database schema with new tables for AI advice and unlock records.
- Expanded documentation to cover new AI features and Redis caching implementation.
- Removed legacy video handling code and models to streamline the codebase.
- Updated main.go to include new services for removing watermarks and smoke logging.
- Enhanced route registration to accommodate new handlers for watermark removal and smoke logging.
- Improved database migration to include new models for watermark processing.
nepiedg