batch_get_collaboration_analysis_template ¶

def batch_get_collaboration_analysis_template(
    self,
    collaboration_identifier: "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier",
    analysis_template_arns: "capo_cleanrooms.types.analysis_template_arn_list.AnalysisTemplateArnList",
    *,
    config_overrides: Optional[CleanRoomsClientConfig] = None,
) -> "capo_cleanrooms.types.batch_get_collaboration_analysis_template_output.BatchGetCollaborationAnalysisTemplateOutput":
    """<p>Retrieves multiple analysis templates within a collaboration by their Amazon Resource Names (ARNs).</p>

    Args:
        collaboration_identifier: <p>A unique identifier for the collaboration that the analysis templates belong to. Currently accepts collaboration ID.</p>
        analysis_template_arns: <p>The Amazon Resource Name (ARN) associated with the analysis template within a collaboration.</p>

    Raises:
        capo_cleanrooms.errors.access_denied_exception.AccessDeniedException: <p>Caller does not have sufficient access to perform this action.</p>
        capo_cleanrooms.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
        capo_cleanrooms.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
        capo_cleanrooms.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
        capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cleanrooms.types.batch_get_collaboration_analysis_template_input.BatchGetCollaborationAnalysisTemplateInput]",
    ) -> OperationResponse[
        "capo_cleanrooms.types.batch_get_collaboration_analysis_template_output.BatchGetCollaborationAnalysisTemplateOutput"
    ]:
        import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.batch_get_collaboration_analysis_template

        output, http_response = (
            capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.batch_get_collaboration_analysis_template.batch_get_collaboration_analysis_template(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_cleanrooms.types.batch_get_collaboration_analysis_template_output.BatchGetCollaborationAnalysisTemplateOutput",
    ) -> dict[str, Any]:
        import capo_cleanrooms.types.batch_get_collaboration_analysis_template_output

        return capo_cleanrooms.types.batch_get_collaboration_analysis_template_output.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "BatchGetCollaborationAnalysisTemplate", redact_output=_redact_output
        ),
    )
    input_: capo_cleanrooms.types.batch_get_collaboration_analysis_template_input.BatchGetCollaborationAnalysisTemplateInput = {
        "collaboration_identifier": collaboration_identifier,
        "analysis_template_arns": analysis_template_arns,
    }

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