create_limit async ¶

async def create_limit(
    self,
    farm_id: "capo_deadline.types.farm_id.FarmId",
    display_name: "capo_deadline.types.resource_name.ResourceName",
    amount_requirement_name: "capo_deadline.types.amount_requirement_name.AmountRequirementName",
    max_count: "capo_deadline.types.max_count.MaxCount",
    *,
    config_overrides: Optional[AsyncdeadlineClientConfig] = None,
    client_token: Optional["capo_deadline.types.client_token.ClientToken"] = None,
    description: Optional["capo_deadline.types.description.Description"] = None,
) -> "capo_deadline.types.create_limit_response.CreateLimitResponse":
    """<p>Creates a limit that manages the distribution of shared resources, such as floating licenses. A limit can throttle work assignments, help manage workloads, and track current usage. Before you use a limit, you must associate the limit with one or more queues. </p> <p>You must add the <code>amountRequirementName</code> to a step in a job template to declare the limit requirement.</p>

    Args:
        farm_id: <p>The farm ID of the farm that contains the limit.</p>
        client_token: <p>The unique token which the server uses to recognize retries of the same request.</p>
        display_name: <p>The display name of the limit.</p> <important> <p>This field can store any content. Escape or encode this content before displaying it on a webpage or any other system that might interpret the content of this field.</p> </important>
        amount_requirement_name: <p>The value that you specify as the <code>name</code> in the <code>amounts</code> field of the <code>hostRequirements</code> in a step of a job template to declare the limit requirement.</p>
        max_count: <p>The maximum number of resources constrained by this limit. When all of the resources are in use, steps that require the limit won't be scheduled until the resource is available.</p> <p>The <code>maxCount</code> must not be 0. If the value is -1, there is no restriction on the number of resources that can be acquired for this limit.</p>
        description: <p>A description of the limit. A description helps you identify the purpose of the limit.</p> <important> <p>This field can store any content. Escape or encode this content before displaying it on a webpage or any other system that might interpret the content of this field.</p> </important>

    Raises:
        capo_deadline.errors.access_denied_exception.AccessDeniedException: <p>You don't have permission to perform the action.</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.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of service resources or operations for your Amazon Web Services account.</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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_deadline.types.create_limit_request.CreateLimitRequest]",
    ) -> AsyncOperationResponse[
        "capo_deadline.types.create_limit_response.CreateLimitResponse"
    ]:
        import capo_deadline._operations.deadline.create_limit

        (
            output,
            http_response,
        ) = await capo_deadline._operations.deadline.create_limit.async_create_limit(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_deadline.types.create_limit_request.CreateLimitRequest",
    ) -> dict[str, Any]:
        import capo_deadline.types.create_limit_request

        return capo_deadline.types.create_limit_request.redact_sensitive(input_)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("CreateLimit", redact_input=_redact_input),
    )
    input_: capo_deadline.types.create_limit_request.CreateLimitRequest = {
        "farm_id": farm_id,
        "display_name": display_name,
        "amount_requirement_name": amount_requirement_name,
        "max_count": max_count,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if description is not None:
        input_["description"] = description

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