test(backend): update tests to expect exceptions instead of None/False

- Update generate_embedding tests to expect RuntimeError/Exception instead of None
- Update store_embedding tests to expect Exception instead of False
- Update ensure_embedding tests to use side_effect=Exception instead of return_value=None
- Update hybrid search tests to mock embed_query with side_effect=Exception
- All tests now verify exception-based error handling instead of return value checking
This commit is contained in:
Zamil Majdy
2026-01-23 23:55:22 -06:00
parent ba0aa83de3
commit 0da7a54952
3 changed files with 32 additions and 35 deletions

View File

@@ -298,17 +298,16 @@ async def test_schema_handling_error_cases():
mock_client.execute_raw.side_effect = Exception("Database error")
mock_get_client.return_value = mock_client
result = await embeddings.store_content_embedding(
content_type=ContentType.STORE_AGENT,
content_id="test-id",
embedding=[0.1] * EMBEDDING_DIM,
searchable_text="test",
metadata=None,
user_id=None,
)
# Should return False on error, not raise
assert result is False
# Should raise exception on error
with pytest.raises(Exception, match="Database error"):
await embeddings.store_content_embedding(
content_type=ContentType.STORE_AGENT,
content_id="test-id",
embedding=[0.1] * EMBEDDING_DIM,
searchable_text="test",
metadata=None,
user_id=None,
)
if __name__ == "__main__":

View File

@@ -80,9 +80,8 @@ async def test_generate_embedding_no_api_key():
) as mock_get_client:
mock_get_client.return_value = None
result = await embeddings.generate_embedding("test text")
assert result is None
with pytest.raises(RuntimeError, match="openai_internal_api_key not set"):
await embeddings.generate_embedding("test text")
@pytest.mark.asyncio(loop_scope="session")
@@ -97,9 +96,8 @@ async def test_generate_embedding_api_error():
) as mock_get_client:
mock_get_client.return_value = mock_client
result = await embeddings.generate_embedding("test text")
assert result is None
with pytest.raises(Exception, match="API Error"):
await embeddings.generate_embedding("test text")
@pytest.mark.asyncio(loop_scope="session")
@@ -173,11 +171,10 @@ async def test_store_embedding_database_error(mocker):
embedding = [0.1, 0.2, 0.3]
result = await embeddings.store_embedding(
version_id="test-version-id", embedding=embedding, tx=mock_client
)
assert result is False
with pytest.raises(Exception, match="Database error"):
await embeddings.store_embedding(
version_id="test-version-id", embedding=embedding, tx=mock_client
)
@pytest.mark.asyncio(loop_scope="session")
@@ -277,17 +274,16 @@ async def test_ensure_embedding_create_new(mock_get, mock_store, mock_generate):
async def test_ensure_embedding_generation_fails(mock_get, mock_generate):
"""Test ensure_embedding when generation fails."""
mock_get.return_value = None
mock_generate.return_value = None
mock_generate.side_effect = Exception("Generation failed")
result = await embeddings.ensure_embedding(
version_id="test-id",
name="Test",
description="Test description",
sub_heading="Test heading",
categories=["test"],
)
assert result is False
with pytest.raises(Exception, match="Generation failed"):
await embeddings.ensure_embedding(
version_id="test-id",
name="Test",
description="Test description",
sub_heading="Test heading",
categories=["test"],
)
@pytest.mark.asyncio(loop_scope="session")

View File

@@ -172,8 +172,8 @@ async def test_hybrid_search_without_embeddings():
with patch(
"backend.api.features.store.hybrid_search.query_raw_with_schema"
) as mock_query:
# Simulate embedding failure
mock_embed.return_value = None
# Simulate embedding failure by raising exception
mock_embed.side_effect = Exception("Embedding generation failed")
mock_query.return_value = mock_results
# Should NOT raise - graceful degradation
@@ -613,7 +613,9 @@ async def test_unified_hybrid_search_graceful_degradation():
"backend.api.features.store.hybrid_search.embed_query"
) as mock_embed:
mock_query.return_value = mock_results
mock_embed.return_value = None # Embedding failure
mock_embed.side_effect = Exception(
"Embedding generation failed"
) # Embedding failure
# Should NOT raise - graceful degradation
results, total = await unified_hybrid_search(