describe_flow async ¶

async def describe_flow(
    self,
    flow_arn: "capo_mediaconnect.types.flow_arn.FlowArn",
    *,
    config_overrides: Optional[AsyncMediaConnectClientConfig] = None,
) -> "capo_mediaconnect.types.describe_flow_response.DescribeFlowResponse":
    """<p> Displays the details of a flow. The response includes the flow Amazon Resource Name (ARN), name, and Availability Zone, as well as details about the source, outputs, and entitlements.</p>

    Args:
        flow_arn: <p> The ARN of the flow that you want to describe.</p>

    Raises:
        capo_mediaconnect.errors.bad_request_exception.BadRequestException: <p>This exception is thrown if the request contains a semantic error. The precise meaning depends on the API, and is documented in the error message. </p>
        capo_mediaconnect.errors.forbidden_exception.ForbiddenException: <p>You do not have sufficient access to perform this action. </p>
        capo_mediaconnect.errors.internal_server_error_exception.InternalServerErrorException: <p>The server encountered an internal error and is unable to complete the request. </p>
        capo_mediaconnect.errors.not_found_exception.NotFoundException: <p>One or more of the resources in the request does not exist in the system. </p>
        capo_mediaconnect.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is currently unavailable or busy. </p>
        capo_mediaconnect.errors.too_many_requests_exception.TooManyRequestsException: <p>The request was denied due to request throttling. </p>
        capo_mediaconnect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_mediaconnect.types.describe_flow_request.DescribeFlowRequest]",
    ) -> AsyncOperationResponse[
        "capo_mediaconnect.types.describe_flow_response.DescribeFlowResponse"
    ]:
        import capo_mediaconnect._operations.media_connect.describe_flow

        (
            output,
            http_response,
        ) = await capo_mediaconnect._operations.media_connect.describe_flow.async_describe_flow(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeFlow")
    )
    input_: capo_mediaconnect.types.describe_flow_request.DescribeFlowRequest = {
        "flow_arn": flow_arn
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output