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list_scheduled_reports

list_scheduled_reports(
    *,
    config_overrides: Optional[BCMDashboardsClientConfig] = None,
    next_token: Optional[NextPageToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListScheduledReportsResponse

Returns a list of scheduled reports in your account.

Parameters:

  • next_token (Optional[NextPageToken], default: None ) –

    The token for the next page of results. Use the value returned in the previous response.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of results to return in a single call. Valid range is 1 to 100. The default value is 50.

Raises:

  • AccessDeniedException –

    You do not have sufficient permissions to perform this action. Verify your IAM permissions and any resource policies.

  • InternalServerException –

    An internal error occurred while processing the request. Retry your request. If the problem persists, contact Amazon Web Services Support.

  • ThrottlingException –

    The request was denied due to request throttling. Reduce the frequency of requests and use exponential backoff.

  • ValidationException –

    The input parameters do not satisfy the requirements. Check the error message for specific validation details.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_bcm_dashboards/_services/bcm_dashboards.py
def list_scheduled_reports(
    self,
    *,
    config_overrides: Optional[BCMDashboardsClientConfig] = None,
    next_token: Optional[
        "capo_bcm_dashboards.types.next_page_token.NextPageToken"
    ] = None,
    max_results: Optional[
        "capo_bcm_dashboards.types.max_results.MaxResults"
    ] = None,
) -> "capo_bcm_dashboards.types.list_scheduled_reports_response.ListScheduledReportsResponse":
    """<p>Returns a list of scheduled reports in your account.</p>

    Args:
        next_token: <p>The token for the next page of results. Use the value returned in the previous response.</p>
        max_results: <p>The maximum number of results to return in a single call. Valid range is 1 to 100. The default value is 50.</p>

    Raises:
        capo_bcm_dashboards.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action. Verify your IAM permissions and any resource policies.</p>
        capo_bcm_dashboards.errors.internal_server_exception.InternalServerException: <p>An internal error occurred while processing the request. Retry your request. If the problem persists, contact Amazon Web Services Support.</p>
        capo_bcm_dashboards.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Reduce the frequency of requests and use exponential backoff.</p>
        capo_bcm_dashboards.errors.validation_exception.ValidationException: <p>The input parameters do not satisfy the requirements. Check the error message for specific validation details.</p>
        capo_bcm_dashboards.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bcm_dashboards.types.list_scheduled_reports_request.ListScheduledReportsRequest]",
    ) -> OperationResponse[
        "capo_bcm_dashboards.types.list_scheduled_reports_response.ListScheduledReportsResponse"
    ]:
        import capo_bcm_dashboards._operations.awsbcm_dashboards_service.list_scheduled_reports

        output, http_response = (
            capo_bcm_dashboards._operations.awsbcm_dashboards_service.list_scheduled_reports.list_scheduled_reports(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListScheduledReports")
    )
    input_: capo_bcm_dashboards.types.list_scheduled_reports_request.ListScheduledReportsRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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