function_app/bp_content_understanding_image.py [27:60]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CONTENT_UNDERSTANDING_ENDPOINT = os.getenv("CONTENT_UNDERSTANDING_ENDPOINT")

# Load existing analyzer schemas
with open("config/content_understanding_schemas.json", "r") as f:
    CONTENT_UNDERSTANDING_SCHEMAS = json.load(f)

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

# Get list of existing CU analyzers
existing_cu_analyzer_ids = get_existing_analyzer_ids(cu_client)


class FunctionReponseModel(BaseModel):
    """
    Defines the schema that will be returned by the function. We'll use this to
    ensure that the response contains the correct values and structure, and
    to allow a partially filled response to be returned in case of an error.
    """

    success: bool = Field(
        default=False, description="Indicates whether the pipeline was successful."
    )
    error_text: Optional[str] = Field(
        default=None,
        description="If an error occurred, this field will contain the error message.",
    )
    func_time_taken_secs: Optional[float] = Field(
        default=None, description="The total time taken to process the request."
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



function_app/bp_content_understanding_video.py [34:67]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CONTENT_UNDERSTANDING_ENDPOINT = os.getenv("CONTENT_UNDERSTANDING_ENDPOINT")

# Load existing analyzer schemas
with open("config/content_understanding_schemas.json", "r") as f:
    CONTENT_UNDERSTANDING_SCHEMAS = json.load(f)

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

# Get list of existing CU analyzers
existing_cu_analyzer_ids = get_existing_analyzer_ids(cu_client)


class FunctionReponseModel(BaseModel):
    """
    Defines the schema that will be returned by the function. We'll use this to
    ensure that the response contains the correct values and structure, and
    to allow a partially filled response to be returned in case of an error.
    """

    success: bool = Field(
        default=False, description="Indicates whether the pipeline was successful."
    )
    error_text: Optional[str] = Field(
        default=None,
        description="If an error occurred, this field will contain the error message.",
    )
    func_time_taken_secs: Optional[float] = Field(
        default=None, description="The total time taken to process the request."
    )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -