list_collaboration_privacy_budgets async ¶

async def list_collaboration_privacy_budgets(
    self,
    collaboration_identifier: "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier",
    privacy_budget_type: "capo_cleanrooms.types.privacy_budget_type.PrivacyBudgetType",
    *,
    config_overrides: Optional[AsyncCleanRoomsClientConfig] = None,
    max_results: Optional["capo_cleanrooms.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_cleanrooms.types.pagination_token.PaginationToken"
    ] = None,
    access_budget_resource_arn: Optional[
        "capo_cleanrooms.types.budgeted_resource_arn.BudgetedResourceArn"
    ] = None,
) -> "capo_cleanrooms.types.list_collaboration_privacy_budgets_output.ListCollaborationPrivacyBudgetsOutput":
    """<p>Returns an array that summarizes each privacy budget in a specified collaboration. The summary includes the collaboration ARN, creation time, creating account, and privacy budget details.</p>

    Args:
        collaboration_identifier: <p>A unique identifier for one of your collaborations.</p>
        privacy_budget_type: <p>Specifies the type of the privacy budget.</p>
        max_results: <p>The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a `nextToken` even if the `maxResults` value has not been met.</p>
        next_token: <p>The pagination token that's used to fetch the next set of results.</p>
        access_budget_resource_arn: <p>The Amazon Resource Name (ARN) of the Configured Table Association (ConfiguredTableAssociation) used to filter privacy budgets.</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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_cleanrooms.types.list_collaboration_privacy_budgets_input.ListCollaborationPrivacyBudgetsInput]",
    ) -> AsyncOperationResponse[
        "capo_cleanrooms.types.list_collaboration_privacy_budgets_output.ListCollaborationPrivacyBudgetsOutput"
    ]:
        import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaboration_privacy_budgets

        (
            output,
            http_response,
        ) = await capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaboration_privacy_budgets.async_list_collaboration_privacy_budgets(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListCollaborationPrivacyBudgets")
    )
    input_: capo_cleanrooms.types.list_collaboration_privacy_budgets_input.ListCollaborationPrivacyBudgetsInput = {
        "collaboration_identifier": collaboration_identifier,
        "privacy_budget_type": privacy_budget_type,
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token
    if access_budget_resource_arn is not None:
        input_["access_budget_resource_arn"] = access_budget_resource_arn

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