b48c23001e
fix(backend): preserve original filename in chunk metadata instead of temp file name
...
When uploading files, the backend passes them through NamedTemporaryFile, causing os.path.basename to return temp names like 'tmp90i7xqa8.pdf'. Added original_filename parameter to extract_metadata() so the actual upload filename is stored.
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent )
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
2026-04-24 10:14:58 +08:00
f21085b3df
feat(backend): add documents CRUD endpoints and tests
...
Add 4 REST endpoints for RAG database management: GET /documents, GET /documents/{id}/chunks, DELETE /documents/{id}, DELETE /chunks/{id}. Register documents router in main.py. 8 unit tests covering all CRUD operations.
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent )
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
2026-04-23 19:02:28 +08:00
4a22b906e4
refactor(backend): update ingest and query routers
...
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent )
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
2026-04-23 13:26:32 +08:00
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
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
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
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