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legco_ai_assistant
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7 Commits

Author SHA1 Message Date
Woody 226f4ed700 test: update integration mocks for dual-client architecture (Phase 6) 
Added complete_structured() to mock classes, split response lists between LLMClientDP (decompose) and LLMClient (filter+generate), and patched both clients in all integration tests.

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

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-05-04 14:59:23 +08:00
Woody 2656f9ca08 refactor(test): rewrite tests to comply with integration-first rules 
Replace mocked DB/internal-services with real ChromaDB/SQLite via tmp_path.
Only mock truly external APIs (LLM, embedding for deterministic vectors).

13 test files rewritten (314 pass, 0 fail):
- Route tests: use TestClient + real ChromaDB, seed test data
- Service tests: use real PersistentClient/SQLite instances
- Pipeline tests: TestClient hits SSE /query endpoint, verify history
- Converted unittest.TestCase to pytest where applicable

Plus: fix metadata.py to filter None values from ChromaDB metadata
(pre-existing bug caught by real-DB ingestion tests)
 2026-04-27 11:46:58 +08:00
Woody 475306f2b1 feat(history): Phase 3.5 — Query History backend (service, API, timing, XML capture) 2026-04-25 22:59:53 +08:00
Woody 51640201f3 test(backend): update query tests for sub-question generation (sub-phase 2.3) 
Update prompt assertion in decomposer test and field assertions in query endpoint tests to match extracted_questions rename.

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

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-04-24 16:24:10 +08:00
Woody 351950f512 test(backend): update Phase 1 test suite 
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
 2026-04-23 13:27:40 +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 3c2d647943 init: project setup with AGENTS.md, test structure, and plan directory 2026-04-22 15:22:29 +08:00