This commit refactors the GraphQL test suite to resolve persistent build failures and establish a stable, mock-based unit testing environment.
The key changes include:
- Consolidating all GraphQL test helper functions into a single, canonical file (`internal/adapters/graphql/graphql_test_utils_test.go`).
- Removing duplicated test helper code from `integration_test.go` and other test files.
- Creating a new, dedicated unit test file for the `like` and `unlike` mutations (`internal/adapters/graphql/like_resolvers_unit_test.go`) using a mock-based approach.
- Introducing mock services (`MockLikeService`, `MockAnalyticsService`) and updating mock repositories (`MockLikeRepository`, `MockWorkRepository`) in the `internal/testutil` package to support `testify/mock`.
- Adding a `ContextWithUserID` helper function to `internal/platform/auth/middleware.go` to facilitate testing of authenticated resolvers.
These changes resolve the `redeclared in this block` and package collision errors, resulting in a clean and passing test suite. This provides a solid foundation for future Test-Driven Development.
This commit refactors the analytics service to align with the new DDD architecture and exposes it through the GraphQL API.
Key changes:
- A new `AnalyticsService` has been created in `internal/application/services` to encapsulate analytics-related business logic.
- The GraphQL resolver has been updated to use the new `AnalyticsService`, providing a clean and maintainable API.
- The old analytics service and its related files have been removed, reducing code duplication and confusion.
- The `bookmark`, `like`, and `work` services have been refactored to remove their dependencies on the old analytics repository.
- Unit tests have been added for the new `AnalyticsService`, and existing tests have been updated to reflect the refactoring.
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 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.
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.
This commit introduces a new trending works feature to the application.
The feature includes:
- A new `Trending` domain model to store ranked works.
- An `UpdateTrending` method in the `AnalyticsService` that calculates a trending score for each work based on views, likes, and comments.
- A background job that runs hourly to update the trending works.
- A new `trendingWorks` query in the GraphQL API to expose the trending works.
- New tests for the trending feature, and fixes for existing tests.
This commit also includes a refactoring of the analytics repository to use a more generic `IncrementWorkCounter` method, and enhancements to the `WorkStats` and `TranslationStats` models with new metrics like `readingTime`, `complexity`, and `sentiment`.
This commit introduces a comprehensive enhancement of the application's analytics features, addressing performance, data modeling, and feature set.
The key changes include:
- **Performance Improvement:** The analytics repository now uses a database "UPSERT" operation to increment counters, reducing two separate database calls (read and write) into a single, more efficient operation.
- **New Metrics:** The `WorkStats` and `TranslationStats` models have been enriched with new, calculated metrics:
- `ReadingTime`: An estimation of the time required to read the work or translation.
- `Complexity`: A score representing the linguistic complexity of the text.
- `Sentiment`: A score indicating the emotional tone of the text.
- **Service Refactoring:** The analytics service has been refactored to support the new metrics. It now includes methods to calculate and update these scores, leveraging the existing linguistics package for text analysis.
- **GraphQL API Expansion:** The new analytics fields (`readingTime`, `complexity`, `sentiment`) have been exposed through the GraphQL API by updating the `WorkStats` and `TranslationStats` types in the schema.
- **Validation and Testing:**
- GraphQL input validation has been centralized and improved by moving from ad-hoc checks to a consistent validation pattern in the GraphQL layer.
- The test suite has been significantly improved with the addition of new tests for the analytics service and the data access layer, ensuring the correctness and robustness of the new features. This includes fixing several bugs that were discovered during the development process.
This commit introduces analytics features to the application. It includes:
- Extended domain models for storing analytics data.
- An analytics repository and service for managing the data.
- Integration with GraphQL mutations to update analytics counts.
- New GraphQL queries to expose analytics data.
- Unit and integration tests for the new features.
