- Introduced a new API endpoint `GET /api/v1/video/proxy` to facilitate media resource downloads, allowing users to bypass domain restrictions imposed by WeChat.
- Updated configuration to include proxy settings such as `SHORT_VIDEO_PROXY_ENABLED`, `SHORT_VIDEO_PROXY_ALLOWED_DOMAINS`, `SHORT_VIDEO_PROXY_MAX_SIZE_MB`, and `SHORT_VIDEO_PROXY_TIMEOUT_SECONDS`.
- Enhanced the `ShortVideoConfig` struct to accommodate new proxy-related fields.
- Improved error handling for proxy requests, including checks for allowed domains and file size limits.
- Updated documentation to reflect the new proxy functionality and its configuration options, ensuring clarity for users and developers.
- 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 unified backend calculations for health recovery, savings, and motivation generation in the algorithm documentation.
- Updated API documentation to include new endpoints for retrieving statistics and motivation messages, enhancing clarity on data retrieval processes.
- Revised product documentation to reflect changes in API usage for health recovery and savings calculations, ensuring consistency across all related files.
- Enhanced the algorithm documentation to clarify the calculation of smoking intervals, including default values and edge cases.
- Updated API documentation to reflect changes in response formats, including the addition of `exceeded_yesterday` and adjustments to time formatting to RFC3339.
- Improved descriptions of user profile management and AI suggestions in the product documentation, ensuring consistency across all related files.
- Removed outdated sequence diagram and UI documentation files to streamline project resources.
- 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 sections in README.md for product documentation (PRD) and UI/UX design documentation, linking to `docs/smoke/PRODUCT.md` and `docs/smoke/UI.md` respectively, to enhance the overall documentation for the project.
- Added a new section in README.md to reference the sequence diagram located in `docs/smoke/SEQUENCE.md`, enhancing documentation for the application's front-end flow.
- 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.
- Updated .env.example to include optional configuration for additional database instances.
- Refactored DatabaseConfig in config.go to accommodate a default database and additional instances.
- Implemented loadAdditionalDBConfigs function to dynamically load configurations for extra databases.
- Modified InitDB function in database.go to establish connections for both default and additional databases.
- Updated README.md to document the new configuration options for connecting to multiple databases.
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