- Updated database models and repositories to replace uint IDs with UUIDs.
- Modified test fixtures to generate and use UUIDs for authors, translations, users, and works.
- Adjusted mock implementations to align with the new UUID structure.
- Ensured all relevant functions and methods are updated to handle UUIDs correctly.
- Added necessary imports for UUID handling in various files.
This commit marks the completion of a major refactoring effort to stabilize the codebase, improve its structure, and prepare it for production.
The key changes include:
- **Domain Layer Consolidation:** The `Work` entity and its related types, along with all other domain entities and repository interfaces, have been consolidated into the main `internal/domain` package. This eliminates import cycles and provides a single, coherent source of truth for the domain model.
- **Data Access Layer Refactoring:** The repository implementations in `internal/data/sql` have been updated to align with the new domain layer. The `BaseRepositoryImpl` has been corrected to use pointer receivers, and all concrete repositories now correctly embed it, ensuring consistent and correct behavior.
- **Application Layer Stabilization:** All application services in `internal/app` have been updated to use the new domain types and repository interfaces. Dependency injection has been corrected throughout the application, ensuring that all services are initialized with the correct dependencies.
- **GraphQL Adapter Fixes:** The GraphQL resolver implementation in `internal/adapters/graphql` has been updated to correctly handle the new domain types and service methods. The auto-generated GraphQL code has been regenerated to ensure it is in sync with the schema and runtime.
- **Test Suite Overhaul:** All test suites have been fixed to correctly implement their respective interfaces and use the updated domain model. Mock repositories and test suites have been corrected to properly embed the `testify` base types, resolving numerous build and linter errors.
- **Dependency Management:** The Go modules have been tidied, and the module cache has been cleaned to ensure a consistent and correct dependency graph.
- **Code Quality and Verification:** The entire codebase now passes all builds, tests, and linter checks, ensuring a high level of quality and stability.
This comprehensive effort has resulted in a more robust, maintainable, and production-ready application.
This commit introduces a significant refactoring to improve the application's quality, test coverage, and production readiness, focusing on core localization and business logic features.
Key changes include:
- Consolidated the `CreateTranslation` and `UpdateTranslation` commands into a single, more robust `CreateOrUpdateTranslation` command. This uses a database-level `Upsert` for atomicity.
- Centralized authorization for translatable entities into a new `CanEditEntity` check within the application service layer.
- Fixed a critical bug in the `MergeWork` command that caused a UNIQUE constraint violation when merging works with conflicting translations. The logic now intelligently handles language conflicts.
- Implemented decrementing for "like" counts in the analytics service when a like is deleted, ensuring accurate statistics.
- Stabilized the test suite by switching to a file-based database for integration tests, fixing test data isolation issues, and adding a unique index to the `Translation` model to enforce data integrity.
- Refactored manual mocks to use the `testify/mock` library for better consistency and maintainability.
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 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.
- 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
