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Fix tests
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commit
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2 changed files with 25 additions and 13 deletions
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@ -118,10 +118,10 @@ class TestMilvusDocEmbeddingsQueryProcessor:
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result = await processor.query_document_embeddings(query)
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# Verify search was called twice with correct parameters
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# Verify search was called twice with correct parameters including user/collection
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expected_calls = [
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(([0.1, 0.2, 0.3],), {"limit": 3}),
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(([0.4, 0.5, 0.6],), {"limit": 3}),
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(([0.1, 0.2, 0.3], 'test_user', 'test_collection'), {"limit": 3}),
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(([0.4, 0.5, 0.6], 'test_user', 'test_collection'), {"limit": 3}),
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]
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assert processor.vecstore.search.call_count == 2
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for i, (expected_args, expected_kwargs) in enumerate(expected_calls):
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@ -157,7 +157,9 @@ class TestMilvusDocEmbeddingsQueryProcessor:
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result = await processor.query_document_embeddings(query)
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# Verify search was called with the specified limit
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=2)
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=2
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)
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# Verify all results are returned (Milvus handles limit internally)
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assert len(result) == 4
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@ -196,7 +198,9 @@ class TestMilvusDocEmbeddingsQueryProcessor:
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result = await processor.query_document_embeddings(query)
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# Verify search was called
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=5)
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=5
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)
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# Verify empty results
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assert len(result) == 0
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@ -133,8 +133,10 @@ class TestMilvusGraphEmbeddingsQueryProcessor:
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result = await processor.query_graph_embeddings(query)
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# Verify search was called with correct parameters
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=10)
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# Verify search was called with correct parameters including user/collection
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=10
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)
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# Verify results are converted to Value objects
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assert len(result) == 3
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@ -171,10 +173,10 @@ class TestMilvusGraphEmbeddingsQueryProcessor:
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result = await processor.query_graph_embeddings(query)
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# Verify search was called twice with correct parameters
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# Verify search was called twice with correct parameters including user/collection
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expected_calls = [
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(([0.1, 0.2, 0.3],), {"limit": 6}),
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(([0.4, 0.5, 0.6],), {"limit": 6}),
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(([0.1, 0.2, 0.3], 'test_user', 'test_collection'), {"limit": 6}),
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(([0.4, 0.5, 0.6], 'test_user', 'test_collection'), {"limit": 6}),
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]
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assert processor.vecstore.search.call_count == 2
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for i, (expected_args, expected_kwargs) in enumerate(expected_calls):
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@ -211,7 +213,9 @@ class TestMilvusGraphEmbeddingsQueryProcessor:
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result = await processor.query_graph_embeddings(query)
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# Verify search was called with 2*limit for better deduplication
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=4)
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=4
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)
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# Verify results are limited to the requested limit
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assert len(result) == 2
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@ -269,7 +273,9 @@ class TestMilvusGraphEmbeddingsQueryProcessor:
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result = await processor.query_graph_embeddings(query)
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# Verify only first vector was searched (limit reached)
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=4)
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=4
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)
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# Verify results are limited
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assert len(result) == 2
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@ -308,7 +314,9 @@ class TestMilvusGraphEmbeddingsQueryProcessor:
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result = await processor.query_graph_embeddings(query)
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# Verify search was called
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processor.vecstore.search.assert_called_once_with([0.1, 0.2, 0.3], limit=10)
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processor.vecstore.search.assert_called_once_with(
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[0.1, 0.2, 0.3], 'test_user', 'test_collection', limit=10
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)
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# Verify empty results
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assert len(result) == 0
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