- 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
- 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.
- Updated the main.go file to set the local time zone to Asia/Shanghai.
- Changed API endpoints from `PUT` to `POST` for user profile and logs management in multiple documentation files to reflect the correct usage.
- Added new fields in the API response for home summary, including `last_smoke_at`, `today_count`, `resisted_count`, and `reduced_from_yesterday`.
- Enhanced documentation across various files to accurately describe the updated API endpoints and their expected behaviors.
- 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 `POST /api/v1/video/remove_watermark/report_failure` for reporting download failures.
- Added a new database table `video_download_failures` to store details about failed downloads, including domain, URL, error message, and reporting metadata.
- Updated the video handler to process failure reports and save them to the database.
- Enhanced documentation to include details about the new reporting feature and its usage.
- 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.
- Added WeChat Official Account configuration options to .env.example and config.go for OAuth2 integration.
- Updated main.go to initialize WeChat OAuth handler and register routes for handling OAuth requests.
- Enhanced documentation to include references for WeChat Official Account functionality.
- Updated route registration to accommodate the new OAuth handler for improved API structure.
- Replaced common upload handler and service with Qiniu-specific implementations in main.go and route registration.
- Deleted outdated upload_handler.go and qiniu_service.go files to streamline the codebase.
- Updated route definitions to utilize the new Qiniu upload handler for improved file upload management.
- Added Qiniu configuration options to .env.example and config.go for file uploads.
- Refactored main.go to include new Qiniu service and upload handler.
- Updated route registration to accommodate the new upload handler.
- Enhanced documentation to include references for Qiniu upload functionality.
- Removed legacy authentication handler and services to streamline the codebase.
- 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.
- Updated .gitignore to exclude cache files.
- Refactored main.go to streamline route registration and improve code organization.
- Added detailed comments in auth_handler.go, video_handler.go, and service files for better clarity on request handling and service logic.
- Improved error messages in video_handler.go to provide clearer feedback to users in Chinese.
- Introduced context handling in service methods to manage request timeouts effectively.
- Updated .env.example to include SHORT_VIDEO_API_KEY, SHORT_VIDEO_FREE_QUOTA, and SHORT_VIDEO_TIMEOUT_SECONDS.
- Enhanced main.go to auto-migrate new VideoParseLog and VideoParseUnlock models.
- Introduced VideoService and VideoHandler for handling video-related operations.
- Added protected API routes for removing watermarks and unlocking video features.
- Updated config.go to support short video configuration settings.
- Expanded documentation to reflect new features and configuration options.
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