Deletes an existing metric from the specified Connect Customer instance. This operation fails with ResourceConflictException if the metric is currently in use in a dashboard.
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.
-
metric_id
(MetricId)
–
The identifier of the metric to delete.
Raises:
Source code in docs_src/capo_connect/_services/connect.py
| def delete_metric(
self,
instance_id: "capo_connect.types.instance_id.InstanceId",
metric_id: "capo_connect.types.metric_id.MetricId",
*,
config_overrides: Optional[ConnectClientConfig] = None,
) -> "capo_connect.types.delete_metric_response.DeleteMetricResponse":
"""<p>Deletes an existing metric from the specified Connect Customer instance. This operation fails with <code>ResourceConflictException</code> if the metric is currently in use in a dashboard.</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>
metric_id: <p>The identifier of the metric to delete.</p>
Raises:
capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
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.resource_in_use_exception.ResourceInUseException: <p>That resource is already in use (for example, you're trying to add a record with the same name as an existing record). If you are trying to delete a resource (for example, DeleteHoursOfOperation or DeletePredefinedAttribute), remove its reference from related resources and then try again.</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.delete_metric_request.DeleteMetricRequest]",
) -> OperationResponse[
"capo_connect.types.delete_metric_response.DeleteMetricResponse"
]:
import capo_connect._operations.amazon_connect_service.delete_metric
output, http_response = (
capo_connect._operations.amazon_connect_service.delete_metric.delete_metric(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteMetric")
)
input_: capo_connect.types.delete_metric_request.DeleteMetricRequest = {
"instance_id": instance_id,
"metric_id": metric_id,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|