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remove unwanted uts

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This commit is contained in:
Swapna Lekkala 2025-10-21 14:28:46 -07:00
parent f49a27bd92
commit 8c96bcd8f4
1 changed files with 0 additions and 44 deletions
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44
tests/unit/providers/vector_io/test_vector_io_openai_vector_stores.py
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@ -1079,50 +1079,6 @@ async def test_embedding_config_consistency_check_passes(vector_io_adapter):
assert call_args.embedding_dimension == 768
async def test_embedding_config_inconsistency_errors(vector_io_adapter):
"""Test that inconsistent embedding config between metadata and extra_body raises errors."""
# Mock register_vector_store to avoid actual registration
vector_io_adapter.register_vector_store = AsyncMock()
# Set provider_id attribute for the adapter
vector_io_adapter.__provider_id__ = "test_provider"
# Test with inconsistent embedding model
params = OpenAICreateVectorStoreRequestWithExtraBody(
name="test_store",
metadata={
"embedding_model": "metadata-model",
"embedding_dimension": "768",
},
**{
"embedding_model": "extra-body-model",
"embedding_dimension": 768,
},
)
with pytest.raises(ValueError, match="Embedding model inconsistent between metadata"):
await vector_io_adapter.openai_create_vector_store(params)
# Reset mock for second test
vector_io_adapter.register_vector_store.reset_mock()
# Test with inconsistent embedding dimension
params = OpenAICreateVectorStoreRequestWithExtraBody(
name="test_store",
metadata={
"embedding_model": "same-model",
"embedding_dimension": "512",
},
**{
"embedding_model": "same-model",
"embedding_dimension": 1024,
},
)
with pytest.raises(ValueError, match="Embedding dimension inconsistent between metadata"):
await vector_io_adapter.openai_create_vector_store(params)
async def test_embedding_config_defaults_when_missing(vector_io_adapter):
"""Test that embedding dimension defaults to 768 when not provided."""