- Replace value field with html_content for direct HTML storage
- Add original_template field for style detection preservation
- Remove all markdown processing from injector (delete markdown.go)
- Fix critical content extraction/injection bugs in engine
- Add missing UpdateContent PUT handler for content persistence
- Fix API client field names and add updateContent() method
- Resolve content type validation (only allow text/link types)
- Add UUID-based ID generation to prevent collisions
- Complete first-pass processing workflow for unprocessed elements
- Verify end-to-end: Enhancement → Database → API → Editor → Persistence
All 37 files updated for HTML-first content management system.
Phase 3a implementation complete and production ready.
- Move all ContentItem, ContentClient, ContentResponse types to engine/types.go as single source of truth
- Remove duplicate type definitions from content/types.go
- Update all imports across codebase to use engine types
- Enhance engine to extract existing data-content-id from HTML markup
- Simplify frontend to always send html_markup, let server handle ID extraction/generation
- Fix contentId reference errors in frontend error handling
- Add getAttribute helper method to engine for ID extraction
- Add GetAllContent method to engine.DatabaseClient
- Update enhancer to use engine.ContentClient interface
- All builds and API endpoints verified working
This resolves the 400 Bad Request errors and creates a unified architecture where the server is the single source of truth for all ID generation and content type management.
- Remove mock_content setting (working database loop makes it unnecessary)
- Change server.dev_mode to global dev_mode setting for consistency
- Update CLI to use cli.site_id and cli.output for scoped configuration
- Implement database client for CLI enhance command (complete static site loop)
- Update justfile to use INSERTR_DATABASE_PATH environment variable
- Enable multi-site architecture: server is site-agnostic, CLI is site-specific
- Unified insertr.yaml now supports both server and CLI with minimal config
