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update_step

update_step(
    farm_id: FarmId,
    queue_id: QueueId,
    job_id: JobId,
    step_id: StepId,
    target_task_run_status: StepTargetTaskRunStatus,
    *,
    config_overrides: Optional[deadlineClientConfig] = None,
    client_token: Optional[ClientToken] = None,
) -> UpdateStepResponse

Updates a step.

Parameters:

  • farm_id (FarmId) –

    The farm ID to update.

  • queue_id (QueueId) –

    The queue ID to update.

  • job_id (JobId) –

    The job ID to update.

  • step_id (StepId) –

    The step ID to update.

  • client_token (Optional[ClientToken], default: None ) –

    The unique token which the server uses to recognize retries of the same request.

  • target_task_run_status (StepTargetTaskRunStatus) –

    The task status to update the step's tasks to.

Raises:

Source code in docs_src/capo_deadline/_services/deadline.py
def update_step(
    self,
    farm_id: "capo_deadline.types.farm_id.FarmId",
    queue_id: "capo_deadline.types.queue_id.QueueId",
    job_id: "capo_deadline.types.job_id.JobId",
    step_id: "capo_deadline.types.step_id.StepId",
    target_task_run_status: "capo_deadline.types.step_target_task_run_status.StepTargetTaskRunStatus",
    *,
    config_overrides: Optional[deadlineClientConfig] = None,
    client_token: Optional["capo_deadline.types.client_token.ClientToken"] = None,
) -> "capo_deadline.types.update_step_response.UpdateStepResponse":
    """<p>Updates a step.</p>

    Args:
        farm_id: <p>The farm ID to update.</p>
        queue_id: <p>The queue ID to update.</p>
        job_id: <p>The job ID to update.</p>
        step_id: <p>The step ID to update.</p>
        client_token: <p>The unique token which the server uses to recognize retries of the same request.</p>
        target_task_run_status: <p>The task status to update the step's tasks to.</p>

    Raises:
        capo_deadline.errors.access_denied_exception.AccessDeniedException: <p>You don't have permission to perform the action.</p>
        capo_deadline.errors.conflict_exception.ConflictException: <p>Your request has conflicting operations. This can occur if you're trying to perform more than one operation on the same resource at the same time.</p>
        capo_deadline.errors.internal_server_error_exception.InternalServerErrorException: <p>Deadline Cloud can't process your request right now. Try again later.</p>
        capo_deadline.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource can't be found.</p>
        capo_deadline.errors.throttling_exception.ThrottlingException: <p>Your request exceeded a request rate quota.</p>
        capo_deadline.errors.validation_exception.ValidationException: <p>The request isn't valid. This can occur if your request contains malformed JSON or unsupported characters.</p>
        capo_deadline.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_deadline.types.update_step_request.UpdateStepRequest]",
    ) -> OperationResponse[
        "capo_deadline.types.update_step_response.UpdateStepResponse"
    ]:
        import capo_deadline._operations.deadline.update_step

        output, http_response = (
            capo_deadline._operations.deadline.update_step.update_step(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateStep")
    )
    input_: capo_deadline.types.update_step_request.UpdateStepRequest = {
        "farm_id": farm_id,
        "queue_id": queue_id,
        "job_id": job_id,
        "step_id": step_id,
        "target_task_run_status": target_task_run_status,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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