create_media_insights_pipeline_configuration ¶

def create_media_insights_pipeline_configuration(
    self,
    media_insights_pipeline_configuration_name: "capo_chime_sdk_media_pipelines.types.media_insights_pipeline_configuration_name_string.MediaInsightsPipelineConfigurationNameString",
    resource_access_role_arn: "capo_chime_sdk_media_pipelines.types.arn.Arn",
    elements: "capo_chime_sdk_media_pipelines.types.media_insights_pipeline_configuration_elements.MediaInsightsPipelineConfigurationElements",
    *,
    config_overrides: Optional[ChimeSDKMediaPipelinesClientConfig] = None,
    real_time_alert_configuration: Optional[
        "capo_chime_sdk_media_pipelines.types.real_time_alert_configuration.RealTimeAlertConfiguration"
    ] = None,
    tags: Optional["capo_chime_sdk_media_pipelines.types.tag_list.TagList"] = None,
    client_request_token: Optional[
        "capo_chime_sdk_media_pipelines.types.client_request_token.ClientRequestToken"
    ] = None,
) -> "capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_response.CreateMediaInsightsPipelineConfigurationResponse":
    """<p>A structure that contains the static configurations for a media insights pipeline.</p>

    Args:
        media_insights_pipeline_configuration_name: <p>The name of the media insights pipeline configuration.</p>
        resource_access_role_arn: <p>The ARN of the role used by the service to access Amazon Web Services resources, including <code>Transcribe</code> and <code>Transcribe Call Analytics</code>, on the caller’s behalf.</p>
        real_time_alert_configuration: <p>The configuration settings for the real-time alerts in a media insights pipeline configuration.</p>
        elements: <p>The elements in the request, such as a processor for Amazon Transcribe or a sink for a Kinesis Data Stream.</p>
        tags: <p>The tags assigned to the media insights pipeline configuration.</p>
        client_request_token: <p>The unique identifier for the media insights pipeline configuration request.</p>

    Raises:
        capo_chime_sdk_media_pipelines.errors.bad_request_exception.BadRequestException: <p>The input parameters don't match the service's restrictions.</p>
        capo_chime_sdk_media_pipelines.errors.forbidden_exception.ForbiddenException: <p>The client is permanently forbidden from making the request.</p>
        capo_chime_sdk_media_pipelines.errors.not_found_exception.NotFoundException: <p>One or more of the resources in the request does not exist in the system.</p>
        capo_chime_sdk_media_pipelines.errors.resource_limit_exceeded_exception.ResourceLimitExceededException: <p>The request exceeds the resource limit.</p>
        capo_chime_sdk_media_pipelines.errors.service_failure_exception.ServiceFailureException: <p>The service encountered an unexpected error.</p>
        capo_chime_sdk_media_pipelines.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is currently unavailable.</p>
        capo_chime_sdk_media_pipelines.errors.throttled_client_exception.ThrottledClientException: <p>The client exceeded its request rate limit.</p>
        capo_chime_sdk_media_pipelines.errors.unauthorized_client_exception.UnauthorizedClientException: <p>The client is not currently authorized to make the request.</p>
        capo_chime_sdk_media_pipelines.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_request.CreateMediaInsightsPipelineConfigurationRequest]",
    ) -> OperationResponse[
        "capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_response.CreateMediaInsightsPipelineConfigurationResponse"
    ]:
        import capo_chime_sdk_media_pipelines._operations.chime_sdk_media_pipelines_service.create_media_insights_pipeline_configuration

        output, http_response = (
            capo_chime_sdk_media_pipelines._operations.chime_sdk_media_pipelines_service.create_media_insights_pipeline_configuration.create_media_insights_pipeline_configuration(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_request.CreateMediaInsightsPipelineConfigurationRequest",
    ) -> dict[str, Any]:
        import capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_request

        return capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_response.CreateMediaInsightsPipelineConfigurationResponse",
    ) -> dict[str, Any]:
        import capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_response

        return capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreateMediaInsightsPipelineConfiguration",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_chime_sdk_media_pipelines.types.create_media_insights_pipeline_configuration_request.CreateMediaInsightsPipelineConfigurationRequest = {
        "media_insights_pipeline_configuration_name": media_insights_pipeline_configuration_name,
        "resource_access_role_arn": resource_access_role_arn,
        "elements": elements,
    }
    if real_time_alert_configuration is not None:
        input_["real_time_alert_configuration"] = real_time_alert_configuration
    if tags is not None:
        input_["tags"] = tags
    if client_request_token is None:
        client_request_token = str(uuid.uuid4())
    input_["client_request_token"] = client_request_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output