2 Commits

Author	SHA1	Message	Date
gbanyan	5571076406	feat: Add curated expert occupations with local data sources ... - Add curated occupations seed files (210 entries in zh/en) with specific domains - Add DBpedia occupations data (2164 entries) for external source option - Refactor expert_source_service to read from local JSON files - Improve keyword generation prompts to leverage expert domain context - Add architecture analysis documentation (ARCHITECTURE_ANALYSIS.md) - Fix expert source selection bug (proper handling of empty custom_experts) - Update frontend to support curated/dbpedia/wikidata expert sources Key changes: - backend/app/data/: Local occupation data files - backend/app/services/expert_source_service.py: Simplified local file reading - backend/app/prompts/expert_transformation_prompt.py: Better domain-aware prompts - Removed expert_cache.py (no longer needed with local files) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-04 16:34:35 +08:00
gbanyan	43785db595	feat: Add external expert sources (Wikidata SPARQL + ConceptNet API) ... - Add expert_cache.py: TTL-based in-memory cache (1 hour default) - Add expert_source_service.py: WikidataProvider and ConceptNetProvider - Wikidata SPARQL queries for occupations with Chinese labels - ConceptNet API queries for occupation-related concepts - Random selection from cached pool - Update schemas.py: Add ExpertSource enum (llm/wikidata/conceptnet) - Update ExpertTransformationRequest with expert_source and expert_language - Update router: Conditionally use external sources with LLM fallback - New SSE events: expert_source, expert_fallback - Update frontend types with ExpertSource 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-04 11:42:48 +08:00