get_assignment ¶

def get_assignment(
    self,
    assignment_id: "capo_mturk.types.entity_id.EntityId",
    *,
    config_overrides: Optional[MTurkClientConfig] = None,
) -> "capo_mturk.types.get_assignment_response.GetAssignmentResponse":
    """<p> The <code>GetAssignment</code> operation retrieves the details of the specified Assignment. </p>

    Args:
        assignment_id: <p>The ID of the Assignment to be retrieved.</p>

    Raises:
        capo_mturk.errors.request_error.RequestError: <p>Your request is invalid.</p>
        capo_mturk.errors.service_fault.ServiceFault: <p>Amazon Mechanical Turk is temporarily unable to process your request. Try your call again.</p>
        capo_mturk.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_mturk.types.get_assignment_request.GetAssignmentRequest]",
    ) -> OperationResponse[
        "capo_mturk.types.get_assignment_response.GetAssignmentResponse"
    ]:
        import capo_mturk._operations.m_turk_requester_service_v20170117.get_assignment

        output, http_response = (
            capo_mturk._operations.m_turk_requester_service_v20170117.get_assignment.get_assignment(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetAssignment")
    )
    input_: capo_mturk.types.get_assignment_request.GetAssignmentRequest = {
        "assignment_id": assignment_id
    }

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