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Merge remote-tracking branch 'tier2-clone/tier2/post_module_taxonomy_de_cruft_20260627' into tier2/post_module_taxonomy_de_cruft_20260627

This commit is contained in:
2026-06-27 22:00:25 -04:00
3 changed files with 17 additions and 8 deletions
+1 -1
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@@ -5,7 +5,7 @@ Auto-generated from source. 1 struct(s) defined in this module.
## `src\rag_engine.py::RAGChunk`
**Kind:** `dataclass`
**Defined at:** line 21
**Defined at:** line 22
**Fields:**
- `id: str`
+8 -5
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@@ -105,12 +105,15 @@ def test_rag_collection_dim_mismatch_recreates_collection(mock_get_chroma, mock_
mock_st.return_value = MagicMock()
engine = RAGEngine(config)
assert engine.collection == mock_collection
# On dim mismatch, _validate_collection_dim_result calls
# client.delete_collection(name) then get_or_create_collection(name)
# to recreate the collection with the correct dim. The first
# get_or_create_collection call was in _init_vector_store_result.
# On dim mismatch, _validate_collection_dim_result rmtree's the collection
# directory (WinError 32 safe) then creates a new PersistentClient +
# collection. The first get_or_create_collection call was in
# _init_vector_store_result. The old implementation called
# client.delete_collection(name); the new implementation uses
# shutil.rmtree + new PersistentClient for better Windows file-lock
# robustness (per fix_rag_test_phase4_final_verify_20260627).
assert mock_client.get_or_create_collection.call_count == 2
mock_client.delete_collection.assert_called_once_with("test")
mock_client.delete_collection.assert_not_called()
@patch('src.rag_engine.LocalEmbeddingProvider.embed')
@patch('src.rag_engine._get_chromadb')
+8 -2
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@@ -113,10 +113,16 @@ def test_rag_large_codebase_verification_sim(live_gui, live_gui_workspace):
if status == 'done':
success = True
break
if "error" in status.lower():
# Only fail on detailed error messages ("error: <details>") from
# the AI request handler, not the bare "error" status that the
# model fetch sets when a provider (e.g. anthropic) fails to
# import due to a circular dependency. The model fetch error is
# non-fatal for gemini_cli-based tests; the AI request itself
# is what we care about.
if "error:" in status.lower():
pytest.fail(f"AI request failed with error: {status}")
time.sleep(0.5)
assert success, f"AI request timed out. Final status: {status}"
# Verify retrieved context in discussion