Commit 116b9cb
authored
feat: add ai translation + performance improvements + fix python-bridge logic (#400)
* feat(translation): add AI-powered translation for cluster labels and summaries
Implement automatic translation of Polis cluster labels and summaries using Google Cloud Translation API. Translations are generated proactively
during math updates and on-demand as fallback.
Translation strategy:
- Proactive: Translate all cluster labels/summaries during math updates for configured languages
- On-demand: Translate individual clusters at request time if translation not found in database
- Frontend automatically sends Accept-Language header based on user's display language preference
Key changes:
- Add Google Cloud Translation API integration with authentication
- Implement cluster translation service with parallel processing (p-limit)
- Add translation logic to math-updater service for batch translation
- Add fallback translation in API service for missing translations
- Include cluster ID in metadata for translation mapping
- Add database migration for cluster translation storage
- Configure translation services across all backend services
* perf(database): add composite index for moderation queries and enhance monitoring
This commit implements database performance optimizations and infrastructure
improvements based on load testing analysis.
Database Schema Changes:
- Added composite index on conversation_moderation(conversation_id, moderation_action)
to optimize lock status checks (V0027 migration)
- Renumbered V0024 migration to V0025 to maintain sequential ordering
- Added V0026 migration for previous schema changes
- The composite index reduces query plan cost for the 4,950 moderation checks
observed during load testing (~14% of total queries)
Math Updater Improvements - Queue Locking Strategy:
- Fixed race condition in conversation update queue processing
- Changed early locking from processedAt to lastMathUpdateAt
- New logic: requestedAt > lastMathUpdateAt determines if processing needed
- lastMathUpdateAt is only touched by math-updater (not API), preventing race conditions
- Added detailed pg-boss job state logging when singleton jobs are rejected
- Shows whether jobs are RUNNING, QUEUED, or COMPLETED with timing information
- Sets processedAt only if requestedAt didn't change during processing
Math Updater Improvements - Scanner Logic:
- Updated scanner to check requestedAt > lastMathUpdateAt instead of processedAt IS NULL
- Added comprehensive job state queries to pgboss.job table
- Logs job age, running time, and completion time for better observability
- Prevents duplicate job enqueueing when jobs are running or recently completed
Math Updater - Batch Query Implementation (from main, leftover from rebase):
- Opinion updates are batched (1000 opinions per batch) to avoid PostgreSQL parameter limits
- Uses batchArray helper function to split large opinion lists
- Cluster stats organized in lookup maps for efficient batch processing
- Note: These changes were already merged to main but appear in diff due to rebase
Monitoring & Infrastructure:
- Enhanced PostgreSQL monitoring configuration in postgresql-monitoring.conf
- Updated Prometheus configuration for better metrics collection
- Improved Docker Compose setup for development environment
- Added connection pooling and read replica routing configuration
Load Testing:
- Updated scenario to test moderation lock checks under load
- Enhanced API client utilities for better test coverage
- Improved user action simulation for realistic testing
Documentation:
- Added DATABASE.md with comprehensive database architecture documentation
- Updated PERFORMANCE_ANALYSIS.md with October 2025 optimization details
- Added git commit guidelines to CLAUDE.md following Conventional Commits standard
- Includes guideline to verify staged changes and check for accidental commits
- Explicitly instructs not to mention AI assistants in commit messages
- Documented read replica strategy and query optimization approaches
Python Bridge:
- Minor updates to clustering service for better compatibility
Shared Backend Syncing:
- Synced shared-backend code to api and math-updater services
- Updated schema.ts and db.ts across all consuming services
- This is standard rsync distribution of shared database layer code
Impact:
- Prevents math-updater job duplication race conditions
- Marginal query performance improvement (~1-2%) from composite index
- Significantly improved observability through enhanced logging
- Sets foundation for future caching layer implementation
- Better code maintainability with type-safe patterns
Technical Notes:
- The composite index provides minimal gain due to UNIQUE constraint on conversation_id,
but demonstrates query optimization best practices
- The requestedAt/lastMathUpdateAt strategy is more reliable than processedAt because
it's single-writer (only math-updater modifies lastMathUpdateAt)
- See PERFORMANCE_ANALYSIS.md Known Limitations #3 for planned caching layer1 parent 623b522 commit 116b9cb
63 files changed
Lines changed: 21930 additions & 1192 deletions
File tree
- services
- agora/src
- utils/api
- api
- database/flyway
- drizzle
- meta
- src
- service
- load-testing/src
- utils
- math-updater
- src
- jobs
- services
- python-bridge
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