This commit introduces a new application layer to the codebase, which decouples the GraphQL resolvers from the data layer. The resolvers now call application services, which in turn call the repositories. This change improves the separation of concerns and makes the code more testable and maintainable.
Additionally, this commit introduces dataloaders to solve the N+1 problem in the GraphQL resolvers. The dataloaders are used to batch and cache database queries, which significantly improves the performance of the API.
The following changes were made:
- Created application services for most of the domains.
- Refactored the GraphQL resolvers to use the new application services.
- Implemented dataloaders for the `Author` aggregate.
- Updated the `app.Application` struct to hold the application services instead of the repositories.
- Fixed a large number of compilation errors in the test files that arose from these changes.
There are still some compilation errors in the `internal/adapters/graphql/integration_test.go` file. These errors are due to the test files still trying to access the repositories directly from the `app.Application` struct. The remaining work is to update these tests to use the new application services.
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.
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.
This commit includes a major refactoring of the GORM many-to-many relationships to use explicit join tables, improving stability and compatibility with GORM's features.
It also implements a large number of previously unimplemented GraphQL mutations for core entities like Collections, Comments, Likes, and Bookmarks.
Key changes:
- Refactored polymorphic many-to-many relationships for Copyright and Monetization to use standard many-to-many with explicit join tables.
- Implemented GraphQL mutations for Collection, Comment, Like, and Bookmark entities, including input validation and authorization checks.
- Added comprehensive integration tests for all new features and refactored code.
- Refactored the GraphQL integration test suite to be type-safe, using generics for response handling as requested.
- Updated repository interfaces and implementations to support the new data model.
- Updated the TODO.md file to reflect the completed work.
The main changes are:
- Refactored the `Copyright` and `Monetization` relationships to use explicit join tables for each owning model, as per the "Option A" strategy. This fixes the GORM migration issues related to polymorphic many-to-many relationships.
- Created new join table structs (e.g., `WorkCopyright`, `AuthorCopyright`, `WorkMonetization`, etc.).
- Updated the domain models to use standard `gorm:"many2many"` tags with the new join tables.
- Refactored the `CopyrightRepository` and `MonetizationRepository` to use the new association-based logic.
- Updated the application services (`CopyrightCommands`, `CopyrightQueries`, `MonetizationCommands`, `MonetizationQueries`) to use the new repository methods.
- Consolidated all repository interfaces into a single `internal/domain/interfaces.go` file for better code organization.
- Added extensive integration tests for the new repository and application layer logic for `Copyrights` and `Monetizations`.
- Fixed the deletion logic for `WorkRepository` to correctly handle cascading deletes with SQLite.
- Updated the `TODO.md` file to mark the "Stabilize non-linguistics tests and interfaces" task as complete.
