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update_contact_schedule

update_contact_schedule(
    instance_id: InstanceId,
    contact_id: ContactId,
    scheduled_time: Timestamp,
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> UpdateContactScheduleResponse

Updates the scheduled time of a task contact that is already scheduled.

Parameters:

  • instance_id (InstanceId) –

    The identifier of the Connect Customer instance. You can find the instance ID in the Amazon Resource Name (ARN) of the instance.

  • contact_id (ContactId) –

    The identifier of the contact.

  • scheduled_time (Timestamp) –

    The timestamp, in Unix Epoch seconds format, at which to start running the inbound flow. The scheduled time cannot be in the past. It must be within up to 6 days in future.

Raises:

Source code in docs_src/capo_connect/_services/connect.py
def update_contact_schedule(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    contact_id: "capo_connect.types.contact_id.ContactId",
    scheduled_time: "capo_connect.types.timestamp.Timestamp",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> "capo_connect.types.update_contact_schedule_response.UpdateContactScheduleResponse":
    """<p>Updates the scheduled time of a task contact that is already scheduled.</p>

    Args:
        instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        contact_id: <p>The identifier of the contact.</p>
        scheduled_time: <p>The timestamp, in Unix Epoch seconds format, at which to start running the inbound flow. The scheduled time cannot be in the past. It must be within up to 6 days in future. </p>

    Raises:
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.limit_exceeded_exception.LimitExceededException: <p>The allowed limit for the resource has been exceeded.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.update_contact_schedule_request.UpdateContactScheduleRequest]",
    ) -> OperationResponse[
        "capo_connect.types.update_contact_schedule_response.UpdateContactScheduleResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.update_contact_schedule

        output, http_response = (
            capo_connect._operations.amazon_connect_service.update_contact_schedule.update_contact_schedule(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateContactSchedule")
    )
    input_: capo_connect.types.update_contact_schedule_request.UpdateContactScheduleRequest = {
        "instance_id": instance_id,
        "contact_id": contact_id,
        "scheduled_time": scheduled_time,
    }

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