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The 'Urgent: Build Failures' section in TASKS.md was outdated. The issues listed have already been resolved, and the build is stable. This commit removes the section to reflect the current state of the project.
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Consolidated Tasks for Tercul
This document is the single source of truth for all outstanding development tasks, aligned with the architectural vision in refactor.md.
High Priority
Architecture & Refactoring (see refactor.md)
- Implement Full Observability:
- Centralized Logging: Ensure all services use the structured
zerologlogger frominternal/platform/log. Add request/user/span IDs to the logging context in the HTTP middleware. - Metrics: Add Prometheus metrics for API request latency, error rates, and database query performance. Expose them on the
/metricsendpoint. - Tracing: Instrument all application services and data layer methods with OpenTelemetry tracing.
- Centralized Logging: Ensure all services use the structured
- Establish CI/CD Pipeline:
- CI: Create a
Makefiletargetlint-testthat runsgolangci-lintandgo test ./.... Configure the CI pipeline to run this on every push. - CD: Set up automated deployments to a staging environment upon a successful merge to the main branch.
- CI: Create a
- Refactor Testing Utilities:
- Decouple from DB: Remove all database connection logic from
internal/testutil/testutil.go. Tests should use mock repositories and services, not a live database. This is a key step towards faster, more reliable unit tests.
- Decouple from DB: Remove all database connection logic from
Features
-
Implement Analytics Features:
- Context: This is required for user engagement insights. The following counts need to be implemented and stored, likely on the
WorkandTranslationmodels. - Implement view counting.
- Implement like counting.
- Implement comment counting.
- Implement bookmark counting.
- Implement translation counting.
- Implement a service to calculate popular translations based on the above metrics.
- Note: This is referenced in the old
TODO.mdand a TODO comment ininternal/jobs/linguistics/work_analysis_service.go.
- Context: This is required for user engagement insights. The following counts need to be implemented and stored, likely on the
-
Complete Unfinished Implementations:
internal/app/work/commands.go: Implement theMergeWorkcommand. This should handle merging duplicate work entries.internal/app/search/service.go: The search service needs to fetch content from the translation service to enrich its search index.cmd/tools/enrich/main.go: This command-line tool is broken. It needs to be investigated, fixed, and documented.
Medium Priority
Performance
- Batch Weaviate Operations: Refactor the Weaviate client in
internal/platform/searchto support batching of create/update operations to improve indexing performance. - Add Performance Benchmarks: Using Go's built-in benchmarking tools, add benchmarks for critical API queries and commands to detect performance regressions.
Code Quality & Architecture
- Expand Weaviate Client: The client in
internal/platform/searchshould be extended to support indexing all relevant domain models (e.g., Authors, Tags). - Add Documentation: Add GoDoc comments to all public functions and types in the
internal/appandinternal/domainpackages. - Refactor Caching: As per
refactor.md, replace the current bespoke cached repositories with a decorator pattern ininternal/data/cache. This will simplify cache invalidation logic. - Improve Configuration Handling: Replace the global config object with struct-based configuration loaded from environment variables (e.g., using
koanforenvconfig), as outlined inrefactor.md.
Monitoring & Logging
- Add Job Monitoring: Add specific monitoring and alerting for background jobs in
internal/jobsto track success, failure, and duration. - Add Linguistics Metrics: Add Prometheus metrics for the linguistics pipeline, including analysis duration, cache hit/miss rates, and third-party API usage.
Low Priority
- Refactor Transactional Runner: Refactor the
RunTransactionalhelper ininternal/testutil/testutil.goto be more friendly to mock-based testing, likely by allowing a mock DB transaction to be passed in.