Skip to content

tag_resource async

tag_resource(
    resource_arn: __string,
    *,
    config_overrides: Optional[AsyncPinpointClientConfig] = None,
    tags_model: Optional[TagsModel] = None,
) -> None

Adds one or more tags (keys and values) to an application, campaign, message template, or segment.

Parameters:

  • resource_arn (__string) –

    The Amazon Resource Name (ARN) of the resource.

Raises:

Source code in docs_src/capo_pinpoint/_services/async_pinpoint.py
async def tag_resource(
    self,
    resource_arn: "capo_pinpoint.types.__string.__string",
    *,
    config_overrides: Optional[AsyncPinpointClientConfig] = None,
    tags_model: Optional["capo_pinpoint.types.tags_model.TagsModel"] = None,
) -> None:
    """<p>Adds one or more tags (keys and values) to an application, campaign, message template, or segment.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource.</p>

    Raises:
        capo_pinpoint.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_pinpoint.types.tag_resource_request.TagResourceRequest]",
    ) -> AsyncOperationResponse[None]:
        import capo_pinpoint._operations.pinpoint.tag_resource

        (
            output,
            http_response,
        ) = await capo_pinpoint._operations.pinpoint.tag_resource.async_tag_resource(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("TagResource")
    )
    input_: capo_pinpoint.types.tag_resource_request.TagResourceRequest = {
        "resource_arn": resource_arn
    }
    if tags_model is not None:
        input_["tags_model"] = tags_model

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