- Add PUT /auth/profile endpoint for nickname and avatar updates
- Add ad_placements table and CRUD admin API for managing ad units
- Add GET /marketing/ad-config public API for mini-program to fetch ad config
- Reduce logo limit from 10 to 3 per user, add 2MB file size validation
Made-with: Cursor
Users can now save uploaded logos to the backend (marketing_user_logos table),
avoiding repeated uploads. Includes CRUD endpoints: list, save, delete with
a per-user limit of 10 logos.
Made-with: Cursor
- Implemented repairSmokeAIAdviceIndexes to manage the unique index for fa_smoke_ai_advice.
- Added unit tests for the new function to ensure correct index recreation and validation.
- Updated AutoMigrate to include the new index repair function.
- 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 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.
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