Test creating collection with metadata schema
(stub)
| 18 | |
| 19 | |
| 20 | def create_collection_with_metadata(stub): |
| 21 | """Test creating collection with metadata schema""" |
| 22 | request = vector_service.CreateCollectionRequest( |
| 23 | name="test_metadata_collection", |
| 24 | description="Test collection with metadata schema", |
| 25 | dense_vector=vector_service.DenseVectorOptions(dimension=128, enabled=True), |
| 26 | sparse_vector=vector_service.SparseVectorOptions(enabled=False), |
| 27 | tf_idf_options=vector_service.TFIDFOptions(enabled=False), |
| 28 | metadata_schema=vector_service.MetadataSchema( |
| 29 | fields=[ |
| 30 | vector_service.MetadataField( |
| 31 | name="category", |
| 32 | values=[ |
| 33 | vector_service.FieldValue(string_value="electronics"), |
| 34 | vector_service.FieldValue(string_value="books"), |
| 35 | vector_service.FieldValue(string_value="clothing"), |
| 36 | ], |
| 37 | ), |
| 38 | vector_service.MetadataField( |
| 39 | name="rating", |
| 40 | values=[ |
| 41 | vector_service.FieldValue(int_value=1), |
| 42 | vector_service.FieldValue(int_value=2), |
| 43 | vector_service.FieldValue(int_value=3), |
| 44 | vector_service.FieldValue(int_value=4), |
| 45 | vector_service.FieldValue(int_value=5), |
| 46 | ], |
| 47 | ), |
| 48 | ], |
| 49 | supported_conditions=[ |
| 50 | vector_service.SupportedCondition( |
| 51 | op=vector_service.SupportedCondition.OperationType.AND, |
| 52 | field_names=["category", "rating"], |
| 53 | ) |
| 54 | ], |
| 55 | ), |
| 56 | config=vector_service.CollectionConfig( |
| 57 | max_vectors=1000000, replication_factor=1 |
| 58 | ), |
| 59 | ) |
| 60 | return stub.CreateCollection(request) |
| 61 | |
| 62 | |
| 63 | def create_simple_collection(stub, name="test_collection", dimension=128): |
no outgoing calls
no test coverage detected