untag_resource ¶

untag_resource(
    resource_arn: AmazonResourceName,
    tag_keys: TagKeyList,
    *,
    config_overrides: Optional[EndUserMessagingClientConfig] = None,
) -> UntagResourceOutput

Removes the specified tags from a resource.

Parameters:

resource_arn (AmazonResourceName) –

The Amazon Resource Name (ARN) of the resource.
tag_keys (TagKeyList) –

The list of tag keys to remove from the resource.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
InternalServerException –

An unexpected error occurred during the processing of the request.
ResourceNotFoundException –

The request references a resource that does not exist. Verify that the resource identifier is correct and try your request again.
ThrottlingException –

The request was denied because it exceeded the allowed request rate.
ValidationException –

A standard error for input validation failures. This should be thrown by services when a member of the input structure falls outside of the modeled or documented constraints.
UnknownServiceError –

The service returned an error code this client does not model.

Examples:

Remove tags from a resource

>>> client.untag_resource(resource_arn='arn:aws:end-user-messaging:us-east-1:123456789012:brand-profile/bp-abc12345678901234', tag_keys=['Environment'])

Source code in docs_src/capo_endusermessaging/_services/end_user_messaging.py

def untag_resource(
    self,
    resource_arn: "capo_endusermessaging.types.amazon_resource_name.AmazonResourceName",
    tag_keys: "capo_endusermessaging.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[EndUserMessagingClientConfig] = None,
) -> "capo_endusermessaging.types.untag_resource_output.UntagResourceOutput":
    """<p>Removes the specified tags from a resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource.</p>
        tag_keys: <p>The list of tag keys to remove from the resource.</p>

    Raises:
        capo_endusermessaging.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_endusermessaging.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred during the processing of the request.</p>
        capo_endusermessaging.errors.resource_not_found_exception.ResourceNotFoundException: <p>The request references a resource that does not exist. Verify that the resource identifier is correct and try your request again.</p>
        capo_endusermessaging.errors.throttling_exception.ThrottlingException: <p>The request was denied because it exceeded the allowed request rate.</p>
        capo_endusermessaging.errors.validation_exception.ValidationException: A standard error for input validation failures. This should be thrown by services when a member of the input structure falls outside of the modeled or documented constraints.
        capo_endusermessaging.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Remove tags from a resource

        >>> client.untag_resource(resource_arn='arn:aws:end-user-messaging:us-east-1:123456789012:brand-profile/bp-abc12345678901234', tag_keys=['Environment'])
    """

    def _handler(
        req: "OperationRequest[capo_endusermessaging.types.untag_resource_input.UntagResourceInput]",
    ) -> OperationResponse[
        "capo_endusermessaging.types.untag_resource_output.UntagResourceOutput"
    ]:
        import capo_endusermessaging._operations.end_user_messaging.untag_resource

        output, http_response = (
            capo_endusermessaging._operations.end_user_messaging.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_endusermessaging.types.untag_resource_input.UntagResourceInput = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

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