Trend Intelligence Collector v1 Backend Implementation #1
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- Added FastAPI application with `backend` directory structure. - Implemented `YouTubeClient` to fetch data from YouTube Data API v3 (search, videos, details). - Created SQLAlchemy models for `Video`, `Channel`, and `TrendSnapshot`. - Implemented `process_keyword_trends` (Mode 2) and `process_auto_trends` (Mode 3) logic. - Added API endpoints: `POST /collect/keyword-trends`, `POST /collect/auto-trends`, `GET /videos/trending`. - Added tests and configuration management.
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Implemented the backend for the Trend Intelligence Collector v1.
This service collects YouTube data based on keywords or automatic trends, normalizes it, and stores it in a SQLite database (scalable to Postgres).
It includes a robust YouTube client with pagination support, data normalization, and standard API endpoints.
Configuration is handled via environment variables.
PR created automatically by Jules for task 3995785975340109887 started by @hilham1990