get_flow_execution `async` ¶

get_flow_execution(
    flow_identifier: FlowIdentifier,
    flow_alias_identifier: FlowAliasIdentifier,
    execution_identifier: FlowExecutionIdentifier,
    *,
    config_overrides: Optional[AsyncBedrockAgentRuntimeClientConfig] = None,
) -> GetFlowExecutionResponse

Retrieves details about a specific flow execution, including its status, start and end times, and any errors that occurred during execution.

Parameters:

flow_identifier (FlowIdentifier) –

The unique identifier of the flow.
flow_alias_identifier (FlowAliasIdentifier) –

The unique identifier of the flow alias used for the execution.
execution_identifier (FlowExecutionIdentifier) –

The unique identifier of the flow execution to retrieve.

Raises:

AccessDeniedException –

The request is denied because of missing access permissions. Check your permissions and retry your request.
InternalServerException –

An internal server error occurred. Retry your request.
ResourceNotFoundException –

The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.
ThrottlingException –

The number of requests exceeds the limit. Resubmit your request later.
ValidationException –

Input validation failed. Check your request parameters and retry the request.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_bedrock_agent_runtime/_services/async_bedrock_agent_runtime.py

async def get_flow_execution(
    self,
    flow_identifier: "capo_bedrock_agent_runtime.types.flow_identifier.FlowIdentifier",
    flow_alias_identifier: "capo_bedrock_agent_runtime.types.flow_alias_identifier.FlowAliasIdentifier",
    execution_identifier: "capo_bedrock_agent_runtime.types.flow_execution_identifier.FlowExecutionIdentifier",
    *,
    config_overrides: Optional[AsyncBedrockAgentRuntimeClientConfig] = None,
) -> "capo_bedrock_agent_runtime.types.get_flow_execution_response.GetFlowExecutionResponse":
    """<p>Retrieves details about a specific flow execution, including its status, start and end times, and any errors that occurred during execution.</p>

    Args:
        flow_identifier: <p>The unique identifier of the flow.</p>
        flow_alias_identifier: <p>The unique identifier of the flow alias used for the execution.</p>
        execution_identifier: <p>The unique identifier of the flow execution to retrieve.</p>

    Raises:
        capo_bedrock_agent_runtime.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions. Check your permissions and retry your request.</p>
        capo_bedrock_agent_runtime.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent_runtime.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock_agent_runtime.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent_runtime.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent_runtime.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agent_runtime.types.get_flow_execution_request.GetFlowExecutionRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agent_runtime.types.get_flow_execution_response.GetFlowExecutionResponse"
    ]:
        import capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.get_flow_execution

        (
            output,
            http_response,
        ) = await capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.get_flow_execution.async_get_flow_execution(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetFlowExecution")
    )
    input_: capo_bedrock_agent_runtime.types.get_flow_execution_request.GetFlowExecutionRequest = {
        "flow_identifier": flow_identifier,
        "flow_alias_identifier": flow_alias_identifier,
        "execution_identifier": execution_identifier,
    }

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

get_flow_execution async ¶

get_flow_execution `async` ¶