This commit addresses several high-priority tasks from the TASKS.md file, including:
- **Fix Background Job Panic:** Replaced `log.Fatalf` with `log.Printf` in the `asynq` server to prevent crashes.
- **Refactor API Server Setup:** Consolidated the GraphQL Playground and Prometheus metrics endpoints into the main API server.
- **Implement `DeleteUser` Mutation:** Implemented the `DeleteUser` resolver.
- **Implement `CreateContribution` Mutation:** Implemented the `CreateContribution` resolver and its required application service.
Additionally, this commit includes a major refactoring of the configuration management system to fix a broken build. The global `config.Cfg` variable has been removed and replaced with a dependency injection approach, where the configuration object is passed to all components that require it. This change has been applied across the entire codebase, including the test suite, to ensure a stable and testable application.
This commit refactors the API server startup logic in `cmd/api/main.go` to simplify the application's architecture.
Key changes:
- Consolidates the three separate HTTP servers (GraphQL API, GraphQL Playground, and Prometheus metrics) into a single `http.Server` instance.
- Uses a single `http.ServeMux` to route requests to the appropriate handlers on distinct paths (`/query`, `/playground`, `/metrics`).
- Removes the now-redundant `PlaygroundPort` from the application's configuration.
This change simplifies the server startup and shutdown logic, reduces resource usage, and makes the application's entry point cleaner and easier to maintain.
This commit addresses all the high-priority tasks outlined in the TASKS.md file, significantly improving the application's observability, completing key features, and refactoring critical parts of the codebase.
### Observability
- **Centralized Logging:** Implemented a new structured, context-aware logging system using `zerolog`. A new logging middleware injects request-specific information (request ID, user ID, trace ID) into the logger, and all application logging has been refactored to use this new system.
- **Prometheus Metrics:** Added Prometheus metrics for database query performance by creating a GORM plugin that automatically records query latency and totals.
- **OpenTelemetry Tracing:** Fully instrumented all application services in `internal/app` and data repositories in `internal/data/sql` with OpenTelemetry tracing, providing deep visibility into application performance.
### Features
- **Analytics:** Implemented like, comment, and bookmark counting. The respective command handlers now call the analytics service to increment counters when these actions are performed.
- **Enrichment Tool:** Built a new, extensible `enrich` command-line tool to fetch data from external sources. The initial implementation enriches author data using the Open Library API.
### Refactoring & Fixes
- **Decoupled Testing:** Refactored the testing utilities in `internal/testutil` to be database-agnostic, promoting the use of mock-based unit tests and improving test speed and reliability.
- **Build Fixes:** Resolved numerous build errors, including a critical import cycle between the logging, observability, and authentication packages.
- **Search Service:** Fixed the search service integration by implementing the `GetWorkContent` method in the localization service, allowing the search indexer to correctly fetch and index work content.
This commit introduces a comprehensive set of foundational improvements to make the API more robust, secure, and observable.
The following features have been implemented:
- **Observability Stack:** A new `internal/observability` package has been added, providing structured logging with `zerolog`, Prometheus metrics, and OpenTelemetry tracing. This stack is fully integrated into the application's request pipeline.
- **Centralized Authorization:** A new `internal/app/authz` service has been created to centralize authorization logic. This service is now used by the `user`, `work`, and `comment` services to protect all Create, Update, and Delete operations.
- **Standardized Input Validation:** The previous ad-hoc validation has been replaced with a more robust, struct-tag-based system using the `go-playground/validator` library. This has been applied to all GraphQL input models.
- **Structured Error Handling:** A new set of custom error types has been introduced in the `internal/domain` package. A custom `gqlgen` error presenter has been implemented to map these domain errors to structured GraphQL error responses with specific error codes.
- **`updateUser` Endpoint:** The `updateUser` mutation has been fully implemented as a proof of concept for the new patterns, including support for partial updates and comprehensive authorization checks.
- **Test Refactoring:** The test suite has been significantly improved by decoupling mock repositories from the shared `testutil` package, resolving circular dependency issues and making the tests more maintainable.
This commit introduces a comprehensive observability stack to the application, addressing a key objective from the TODO list.
The following features have been implemented:
- **Centralized Logging:** Replaced the existing custom logger with `zerolog` for structured, leveled, and performant logging. The logger is configured to output human-friendly console logs in development and JSON logs in production.
- **Distributed Tracing:** Integrated OpenTelemetry to provide distributed tracing capabilities. A new middleware has been added to create spans for all incoming HTTP requests, and the trace context is propagated.
- **Prometheus Metrics:** Added Prometheus metrics to monitor HTTP request latency and total request counts. A new `/metrics` endpoint is exposed on port 9090 to serve these metrics.
- **Request ID:** Implemented a middleware to add a unique request ID to every incoming request and response, improving traceability.
The new observability components are encapsulated in the `internal/observability` package, and the existing `internal/platform/log` package has been refactored to be a backward-compatible wrapper around the new logger.
The main application entry point (`cmd/api/main.go`) has been updated to initialize and gracefully shut down the new observability components.
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.
Key changes include:
- Added `goose` as a project dependency and integrated it into the application's startup logic to automatically apply migrations.
- Created an initial PostgreSQL-compatible migration file containing the full database schema.
- Updated the integration test suite to use the new migration system.
- Refactored authorization logic for collection mutations from the GraphQL resolvers to the application service layer.
- Cleaned up the codebase by removing dead code, unused helper functions, and duplicate struct definitions.
- Fixed several build errors and a logic error in the integration tests.
This change improves the project's production readiness by providing a structured and version-controlled way to manage database schema changes. It also enhances code quality by centralizing business logic and removing technical debt.
This commit addresses a broken build state caused by a mid-stream architectural refactoring. The changes align the existing code with the new Domain-Driven Design (DDD-lite) structure outlined in `refactor.md`.
Key changes include:
- Defined missing domain interfaces for `Auth`, `Localization`, and `Search`.
- Refactored application services to use a `Commands` and `Queries` pattern.
- Updated GraphQL resolvers to call application services instead of accessing repositories directly.
- Fixed dependency injection in `cmd/api/main.go` by removing the non-existent `ApplicationBuilder` and manually instantiating services.
- Corrected numerous test files (`integration`, `unit`, and `repository` tests) to reflect the new architecture, including fixing mock objects and test suite setups.
- Added missing database migrations for test schemas to resolve "no such table" errors.
This effort successfully gets the application to a compilable state and passes a significant portion of the test suite, laying the groundwork for further development and fixing the remaining test failures.
This change introduces a service layer to encapsulate the business logic
for each domain aggregate. This will make the code more modular,
testable, and easier to maintain.
The following services have been created:
- author
- bookmark
- category
- collection
- comment
- like
- tag
- translation
- user
The main Application struct has been updated to use these new services.
The integration test suite has also been updated to use the new
Application struct and services.
This is a work in progress. The next step is to fix the compilation
errors and then refactor the resolvers to use the new services.
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 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 includes the following changes:
- Refactored all data repositories in `internal/data/sql/` to use a consistent `sql` package and to align with the new `domain` models.
- Fixed the GraphQL structure by moving the server creation logic from `internal/app` to `cmd/api`, which resolved an import cycle.
- Corrected numerous incorrect import paths for packages like `graph`, `linguistics`, `syncjob`, and the legacy `models` package.
- Resolved several package and function redeclaration errors.
- Removed legacy migration code.
