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tag_resource

tag_resource(
    resource_arn: __string,
    *,
    config_overrides: Optional[MediaPackageVodClientConfig] = None,
    tags: Optional[__mapOf__string] = None,
) -> None

Adds tags to the specified resource. You can specify one or more tags to add.

Parameters:

  • resource_arn (__string) –

    The Amazon Resource Name (ARN) for the resource. You can get this from the response to any request to the resource.

  • tags (Optional[__mapOf__string], default: None ) –

    A collection of tags associated with a resource

Raises:

Source code in docs_src/capo_mediapackage_vod/_services/media_package_vod.py
def tag_resource(
    self,
    resource_arn: "capo_mediapackage_vod.types.__string.__string",
    *,
    config_overrides: Optional[MediaPackageVodClientConfig] = None,
    tags: Optional[
        "capo_mediapackage_vod.types.__map_of__string.__mapOf__string"
    ] = None,
) -> None:
    """Adds tags to the specified resource. You can specify one or more tags to add.

    Args:
        resource_arn: The Amazon Resource Name (ARN) for the resource. You can get this from the response to any request to the resource.
        tags: A collection of tags associated with a resource

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

    def _handler(
        req: "OperationRequest[capo_mediapackage_vod.types.tag_resource_request.TagResourceRequest]",
    ) -> OperationResponse[None]:
        import capo_mediapackage_vod._operations.media_package_vod.tag_resource

        output, http_response = (
            capo_mediapackage_vod._operations.media_package_vod.tag_resource.tag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

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

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