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untag_resource 

untag_resource(
    resource_arn: str,
    tag_keys: TagKeys,
    *,
    config_overrides: Optional[AIOpsClientConfig] = None,
) -> UntagResourceResponse

Removes one or more tags from the specified resource.

Parameters:

  • resource_arn (str) –

    The Amazon Resource Name (ARN) of the resource that you want to remove the tags from. You can use theListInvestigationGroups operation to find the ARNs of investigation groups.

  • tag_keys (TagKeys) –

    The list of tag keys to remove from the resource.

Raises:

Source code in docs_src/capo_aiops/_services/ai_ops.py 
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def untag_resource(
    self,
    resource_arn: str,
    tag_keys: "capo_aiops.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[AIOpsClientConfig] = None,
) -> "capo_aiops.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes one or more tags from the specified resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource that you want to remove the tags from. You can use the<code>ListInvestigationGroups</code> operation to find the ARNs of investigation groups.</p>
        tag_keys: <p>The list of tag keys to remove from the resource.</p>

    Raises:
        capo_aiops.errors.access_denied_exception.AccessDeniedException: <p>You don't have sufficient permissions to perform this action.</p>
        capo_aiops.errors.conflict_exception.ConflictException: <p>This operation couldn't be completed because of a conflict in resource states.</p>
        capo_aiops.errors.forbidden_exception.ForbiddenException: <p>Access id denied for this operation, or this operation is not valid for the specified resource.</p>
        capo_aiops.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. You can try again later.</p>
        capo_aiops.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource doesn't exist.</p>
        capo_aiops.errors.validation_exception.ValidationException: <p>This operation or its parameters aren't formatted correctly.</p>
        capo_aiops.errors.throttling_exception.ThrottlingException: <p>The request was throttled because of quota limits. You can try again later.</p>
        capo_aiops.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_aiops.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[
        "capo_aiops.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_aiops._operations.ai_ops.untag_resource

        output, http_response = (
            capo_aiops._operations.ai_ops.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_aiops.types.untag_resource_request.UntagResourceRequest = {
        "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