This commit introduces a new event-driven analytics system to track user interactions with works and translations. The system is designed to be scalable and production-ready.
Key changes:
- An asynchronous event-driven architecture using `asynq` for handling analytics.
- A new background worker process (`cmd/worker`) to process analytics events from a Redis-backed queue.
- GraphQL resolvers now publish `AnalyticsEvent`s to the queue instead of directly calling the analytics service.
- New `popularTranslations` GraphQL query to leverage the new analytics data.
- Integration tests now use `miniredis` to mock Redis, making them self-contained.
- The `TODO.md` file has been updated to reflect the completed work.
- Core Go application with GraphQL API using gqlgen
- Comprehensive data models for literary works, authors, translations
- Repository pattern with caching layer
- Authentication and authorization system
- Linguistics analysis capabilities with multiple adapters
- Vector search integration with Weaviate
- Docker containerization support
- Python data migration and analysis scripts
- Clean architecture with proper separation of concerns
- Production-ready configuration and middleware
- Proper .gitignore excluding vendor/, database files, and build artifacts
