Drop 3 columns that were written but never read:
- ai_moderation_raw: raw LLM JSON response (~KB per message, never consumed)
- ai_policy_version: hardcoded 'default-2026-05-30', never used for decisions
- ai_evidence: JSON evidence array, never read after write
Changes:
- schema.ts: remove columns from both Postgres and SQLite table definitions
- messageStore.ts: remove from AIAnalysisUpdate interface and SET clauses
- aiAnalyzer.ts: remove from individual fallback update calls
- aiAnalysisWorker.ts: remove raw write, add missing fields (categories, severity, etc.)
- types.ts: remove from MessageRecord interface
- analysisRoutes.ts: remove from reset analysis call
- New migration: src/database/migrations/001_drop_unused_ai_columns.sql
- Migration applied to live DB: 27 columns → 24 columns
Kept ai_error (useful for future debugging, currently 0 non-null)
Kept metadata (1.9MB total, used for AI sticker/embed evidence analysis)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Changed all import statements across the project to include the .js extension for consistency and to comply with ES module standards.
- Updated imports in various files including bootstrap.ts, shutdown.ts, config.ts, and many others.
- Ensured that all related modules and types are correctly imported with the new extension.
- Implemented PostgreSQL and SQLite schemas for voice recordings.
- Created repository functions for inserting, updating, and listing voice recordings.
- Developed uploader logic to handle file uploads and database updates.
- Added routes for accessing voice recordings via API.
- Enhanced UI state to include recordings tab.
- Introduced moderation WebSocket event for uploaded recordings.
MythEclipse