tag_resource ¶

def tag_resource(
    self,
    resource_arn: str,
    tags: "capo_workspaces_thin_client.types.tags_map.TagsMap",
    *,
    config_overrides: Optional[WorkSpacesThinClientClientConfig] = None,
) -> "capo_workspaces_thin_client.types.tag_resource_response.TagResourceResponse":
    """<p>Assigns one or more tags (key-value pairs) to the specified resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource that you want to tag.</p>
        tags: <p>A map of the key-value pairs of the tag or tags to assign to the resource.</p>

    Raises:
        capo_workspaces_thin_client.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_workspaces_thin_client.errors.conflict_exception.ConflictException: <p>The requested operation would cause a conflict with the current state of a service resource associated with the request. Resolve the conflict before retrying this request.</p>
        capo_workspaces_thin_client.errors.internal_server_exception.InternalServerException: <p>The server encountered an internal error and is unable to complete the request.</p>
        capo_workspaces_thin_client.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request was not found.</p>
        capo_workspaces_thin_client.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_workspaces_thin_client.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
        capo_workspaces_thin_client.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_workspaces_thin_client.types.tag_resource_request.TagResourceRequest]",
    ) -> OperationResponse[
        "capo_workspaces_thin_client.types.tag_resource_response.TagResourceResponse"
    ]:
        import capo_workspaces_thin_client._operations.thin_client.tag_resource

        output, http_response = (
            capo_workspaces_thin_client._operations.thin_client.tag_resource.tag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_workspaces_thin_client.types.tag_resource_request.TagResourceRequest",
    ) -> dict[str, Any]:
        import capo_workspaces_thin_client.types.tag_resource_request

        return (
            capo_workspaces_thin_client.types.tag_resource_request.redact_sensitive(
                input_
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("TagResource", redact_input=_redact_input),
    )
    input_: capo_workspaces_thin_client.types.tag_resource_request.TagResourceRequest = {
        "resource_arn": resource_arn,
        "tags": tags,
    }

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