This commit introduces a new blog feature by implementing a JSON schema for blog posts and providing five example content files.
Key changes:
- Created a new directory structure for schemas and content (`schemas/`, `content/blog/`).
- Implemented a JSON schema for blog posts, split into `blog.json` and `_defs.json` for reusability.
- Added five example blog post files with full, realistic content.
- Included a Python script (`validate.py`) to validate the example content against the schema.
This commit implements a robust, production-ready analytics system using an event-driven architecture with Redis and `asynq`.
Key changes:
- Event-Driven Architecture: Instead of synchronous database updates, analytics events (e.g., views, likes, comments) are now published to a Redis queue. This improves API response times and decouples the analytics system from the main application flow.
- Background Worker: A new worker process (`cmd/worker`) has been created to consume events from the queue and update the analytics counters in the database.
- View Counting: Implemented the missing view counting feature for both works and translations.
- New Analytics Query: Added a `popularTranslations` GraphQL query to demonstrate how to use the collected analytics data.
- Testing: Added unit tests for the new event publisher and integration tests for the analytics worker.
Known Issue:
The integration tests for the analytics worker (`AnalyticsWorkerSuite`) and the GraphQL API (`GraphQLIntegrationSuite`) are currently failing due to the lack of a Redis service in the test environment. The tests are written and are expected to pass in an environment where Redis is available on `localhost:6379`, as configured in the CI pipeline.
