def create_or_update_sample_index()

in demo-python/code/custom-vectorizer/scripts/setup_search_service.py [0:0]

• 34 lines of code
• 1 McCabe index (conditional complexity)

def create_or_update_sample_index(search_index_client: SearchIndexClient, custom_vectorizer_url: str):
    # Create a search index  
    fields = [  
        SearchField(name="parent_id", type=SearchFieldDataType.String, sortable=True, filterable=True, facetable=True),  
        SearchField(name="title", type=SearchFieldDataType.String),  
        SearchField(name="chunk_id", type=SearchFieldDataType.String, key=True, sortable=True, filterable=True, facetable=True, analyzer_name="keyword"),  
        SearchField(name="chunk", type=SearchFieldDataType.String, sortable=False, filterable=False, facetable=False),  
        SearchField(name="vector", type=SearchFieldDataType.Collection(SearchFieldDataType.Single), vector_search_dimensions=384, vector_search_profile_name="hnswProfile"),  
    ]  
    
    # Configure the vector search configuration  
    vector_search = VectorSearch(  
        algorithms=[  
            HnswAlgorithmConfiguration(  
                name="hnsw"
            )
        ],  
        profiles=[  
            VectorSearchProfile(  
                name="hnswProfile",  
                algorithm_configuration_name="hnsw",  
                vectorizer="customVectorizer",  
            )
        ],  
        vectorizers=[  
            CustomVectorizer(name="customVectorizer", custom_web_api_parameters=CustomWebApiParameters(uri=custom_vectorizer_url))
        ],  
    )  
    
    semantic_config = SemanticConfiguration(  
        name="my-semantic-config",  
        prioritized_fields=SemanticPrioritizedFields(  
            content_fields=[SemanticField(field_name="chunk")]  
        ),  
    )  
    
    # Create the semantic settings with the configuration  
    semantic_search = SemanticSearch(configurations=[semantic_config])

    # Create the search index with the semantic settings  
    index = SearchIndex(name=sample_index_name, fields=fields, vector_search=vector_search, semantic_search=semantic_search)  
    search_index_client.create_or_update_index(index)