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59 Commits

Author SHA1 Message Date
Woody 09f8cb7e6d refactor(backend): update Pydantic models for ingestion and query 
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-04-23 13:26:20 +08:00
Woody b93fc2e05b chore(backend): update config, env template, and pytest settings 
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-04-23 13:26:08 +08:00
Woody c9f330d57e fix(backend): wrap embedding function for ChromaDB 0.4.22 compatibility 
- Add _EmbeddingFunctionWrapper class with __call__(self, input) signature

- Use ThreadPoolExecutor to run async embed in isolated thread with fresh event loop

- Fixes asyncio.run() cannot be called from a running event loop

Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-04-23 13:25:08 +08:00
Woody 7493b3aaf6 feat: Phase 1.4 acceptance tests, error handling, and polish 
- Implement acceptance tests for ingest (real ChromaDB) and query (real LLM)
- Full 3-step RAG pipeline verified: decompose → retrieve → filter → generate
- Add logging to ingest and query routers
- Improve error handling: empty doc detection, proper HTTPException re-raising
- Add .txt file support to ingest endpoint
- Fix query router: strip distance from retrieve tuples before relevance filter
- Update plan: Phase 1 backend complete (all acceptance criteria met)
- Tests: 41 unit passed, 5 acceptance passed (real OpenRouter calls)
 2026-04-22 17:45:50 +08:00
Woody 181f4eca5b feat: Phase 1.3 query pipeline with decomposition, relevance filter, and response 
- Add QueryDecomposer: extracts keywords from question via LLM JSON response
- Add RelevanceFilter: batch scores chunks 0-10, filters by threshold
- Add POST /api/v1/query endpoint with full 3-step pipeline:
  1. QueryDecomposer.decompose() → keywords
  2. RAGService.retrieve() → chunks from ChromaDB
  3. RelevanceFilter.filter() → score and filter chunks
  4. RAGService.generate_response() → bullet-point answer
- Fix SourceMetadata.upload_date type from datetime to str for flexibility
- Test-first: 13 new tests pass (5 decomposer, 5 relevance filter, 3 query endpoint)
- All Phase 1 tests: 41 passed, 2 skipped
 2026-04-22 17:19:21 +08:00
Woody d94abaac77 feat: Phase 1.2 ingestion pipeline with chunking and metadata 
- Add document parsers (DOCX, PDF) with lazy imports
- Add TokenChunkingStrategy with ABC for future replacement
- Add metadata extraction (filename, upload_date, content_summary)
- Add RAGService for ChromaDB ingestion/retrieval/response generation
- Add POST /api/v1/ingest endpoint with file validation
- Test-first: 20 passed, 2 skipped (python-docx not installed)
 2026-04-22 16:49:52 +08:00
Woody 3712397d64 feat: Phase 1.1 project setup with config, database, and models 
- Add requirements.txt with all dependencies
- Add .env.example with required environment variables
- Add Pydantic Settings (config.py) with .env loading
- Add ChromaDB persistent client (database.py)
- Add Pydantic schemas (ingest.py) for request/response
- Add FastAPI main.py with CORS middleware
- Add package __init__.py files
- Add tests: test_phase1_config.py, test_phase1_database.py
- All 5 tests pass
 2026-04-22 16:13:52 +08:00
Woody be48b1d8c7 docs: add sub-phase development rules and acceptance test structure 2026-04-22 15:27:31 +08:00
Woody 3c2d647943 init: project setup with AGENTS.md, test structure, and plan directory 2026-04-22 15:22:29 +08:00