- 新增 Model 层: SmokeQuitPlan, SmokeQuitPlanDay 结构体
- 新增 Service 层: GenerateQuitPlan, GetActivePlan, GetPlanDays, ResetPlan
- 新增 Handler 层: POST /generate, GET /, GET /days, POST /reset
- 集成 AI 生成 30 天个性化戒烟减量方案
- 支持重置计划功能
- Added a new API endpoint `GET /api/v1/smoke/home` to consolidate core modules for the home dashboard, reducing the need for multiple requests.
- Updated the `smoke` routes to include the new home endpoint and improved user profile management with the addition of a `quit_date` field.
- Enhanced the algorithm for calculating daily targets and next smoke suggestions, ensuring accurate future time handling and user-specific recommendations.
- Improved API documentation to reflect new endpoints, response formats, and detailed field descriptions for better clarity and usability.
- Refactored user authentication handling in various handlers to streamline the process and ensure consistent error responses.
- Introduced a new database model `SmokeMotivationQuote` for storing motivational quotes.
- Added a new API endpoint `GET /api/v1/smoke/motivation` to retrieve motivation quotes for users.
- Updated the main.go file to include the new model in the auto-migration process.
- Enhanced smoke_routes.go to register the new motivation route with the smoke handler.
- 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.
- 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