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Fix embeddings integration

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Cyber MacGeddon 2026-03-08 19:38:08 +00:00
parent ea95effbf2
commit 22ba73e680
6 changed files with 31 additions and 19 deletions
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20
tests/unit/test_retrieval/test_document_rag.py
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@ -132,9 +132,10 @@ class TestQuery:
mock_embeddings_client = AsyncMock()
mock_rag.embeddings_client = mock_embeddings_client
# Mock the embed method to return test vectors
# Mock the embed method to return test vectors in batch format
# New format: [[[vectors_for_text1]]] - returns first text's vector set
expected_vectors = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
mock_embeddings_client.embed.return_value = expected_vectors
mock_embeddings_client.embed.return_value = [expected_vectors]
# Initialize Query
query = Query(
@ -148,10 +149,10 @@ class TestQuery:
test_query = "What documents are relevant?"
result = await query.get_vector(test_query)
# Verify embeddings client was called correctly
mock_embeddings_client.embed.assert_called_once_with(test_query)
# Verify embeddings client was called correctly (now expects list)
mock_embeddings_client.embed.assert_called_once_with([test_query])
# Verify result matches expected vectors
# Verify result matches expected vectors (extracted from batch)
assert result == expected_vectors
@pytest.mark.asyncio
@ -170,8 +171,9 @@ class TestQuery:
mock_rag.fetch_chunk = mock_fetch
# Mock the embedding and document query responses
# New batch format: [[[vectors]]] - get_vector extracts [0]
test_vectors = [[0.1, 0.2, 0.3]]
mock_embeddings_client.embed.return_value = test_vectors
mock_embeddings_client.embed.return_value = [test_vectors]
# Mock document embeddings returns chunk_ids
test_chunk_ids = ["doc/c1", "doc/c2"]
@ -190,10 +192,10 @@ class TestQuery:
test_query = "Find relevant documents"
result = await query.get_docs(test_query)
# Verify embeddings client was called
mock_embeddings_client.embed.assert_called_once_with(test_query)
# Verify embeddings client was called (now expects list)
mock_embeddings_client.embed.assert_called_once_with([test_query])
# Verify doc embeddings client was called correctly
# Verify doc embeddings client was called correctly (with extracted vectors)
mock_doc_embeddings_client.query.assert_called_once_with(
test_vectors,
limit=15,