def create_config_analyzer_schemas()

in function_app/create_content_understanding_analyzers.py [0:0]

• 19 lines of code
• 4 McCabe index (conditional complexity)

def create_config_analyzer_schemas(force_recreation: bool = False):
    """
    Create the schemas for the Content Understanding analyzers.

    :param force_recreation: If True, the existing analyzers will be recreated
        even if it already exists. This is useful when a schema needs to be
        updated.
    :type force_recreation: bool
    """
    # Load existing analyzer schemas
    config_path = os.path.join(
        os.path.dirname(__file__), "config/content_understanding_schemas.json"
    )
    with open(config_path, "r") as f:
        CONTENT_UNDERSTANDING_SCHEMAS: dict[str, dict[str, dict]] = json.load(f)

    # Create analyzers for any missing schemas
    analyzer_to_schema_mapper = list()
    for _modality, analyzer_schemas in CONTENT_UNDERSTANDING_SCHEMAS.items():
        for analyzer_id, schema in analyzer_schemas.items():
            analyzer_to_schema_mapper.append((analyzer_id, schema))

    cu_client = AzureContentUnderstandingClient(
        endpoint=CONTENT_UNDERSTANDING_ENDPOINT,
        azure_ad_token_provider=token_provider,
        api_version="2024-12-01-preview",
        enable_face_identification=False,
    )

    _cu_analyzer_ids = create_analyzers(
        cu_client, analyzer_to_schema_mapper, force_recreation=force_recreation
    )