get_revenue_statistics_time_series ¶

def get_revenue_statistics_time_series(
    self,
    statistic_type: "capo_wafv2.types.time_series_statistic_type.TimeSeriesStatisticType",
    time_window: "capo_wafv2.types.time_window.TimeWindow",
    scope: "capo_wafv2.types.scope.Scope",
    interval: "capo_wafv2.types.interval_type.IntervalType",
    currency: "capo_wafv2.types.currency.Currency",
    *,
    config_overrides: Optional[WAFV2ClientConfig] = None,
    group_by: Optional["capo_wafv2.types.group_by_type.GroupByType"] = None,
    filters: Optional[
        "capo_wafv2.types.monetization_filter_list.MonetizationFilterList"
    ] = None,
    limit: Optional["capo_wafv2.types.max_data_points.MaxDataPoints"] = None,
    next_marker: Optional["capo_wafv2.types.next_marker.NextMarker"] = None,
) -> "capo_wafv2.types.get_revenue_statistics_time_series_response.GetRevenueStatisticsTimeSeriesResponse":
    """<p>Retrieves time series data for monetization revenue. Returns data points aggregated at the specified interval for the given time window. This operation is only available for <code>CLOUDFRONT</code> scope. The maximum supported time window is 90 days. When no <code>CurrencyMode</code> filter is provided, results default to <code>REAL</code>. To retrieve test data, include a <code>CurrencyMode</code> filter with the value <code>TEST</code>.</p>

    Args:
        statistic_type: <p>The type of time series data to retrieve: <code>DATE_HISTOGRAM</code> for revenue over time, or <code>PAYMENT_TRAFFIC</code> for payment traffic patterns.</p>
        time_window: <p>The time range for the query. Specify start and end timestamps.</p>
        scope: <p>Specifies whether this is for a Amazon CloudFront distribution (<code>CLOUDFRONT</code>) or for a regional application (<code>REGIONAL</code>).</p>
        interval: <p>The time interval for aggregating data points: <code>MINUTELY</code>, <code>FIVE_MINUTELY</code>, <code>HOURLY</code>, or <code>DAILY</code>.</p>
        currency: <p>The currency for the amounts in the response.</p>
        group_by: <p>The dimension to group results by.</p>
        filters: <p>Optional filters to narrow the results.</p>
        limit: <p>The maximum number of data points to return. Minimum: 1. Maximum: 10000.</p>
        next_marker: <p>When you get a paginated response, this marker indicates that additional results are available.</p>

    Raises:
        capo_wafv2.errors.waf_internal_error_exception.WAFInternalErrorException: <p>Your request is valid, but WAF couldn’t perform the operation because of a system problem. Retry your request. </p>
        capo_wafv2.errors.waf_invalid_operation_exception.WAFInvalidOperationException: <p>The operation isn't valid. </p>
        capo_wafv2.errors.waf_invalid_parameter_exception.WAFInvalidParameterException: <p>The operation failed because WAF didn't recognize a parameter in the request. For example: </p> <ul> <li> <p>You specified a parameter name or value that isn't valid.</p> </li> <li> <p>Your nested statement isn't valid. You might have tried to nest a statement that can’t be nested. </p> </li> <li> <p>You tried to update a <code>WebACL</code> with a <code>DefaultAction</code> that isn't among the types available at <a>DefaultAction</a>.</p> </li> <li> <p>Your request references an ARN that is malformed, or corresponds to a resource with which a web ACL can't be associated.</p> </li> </ul>
        capo_wafv2.errors.waf_nonexistent_item_exception.WAFNonexistentItemException: <p>WAF couldn’t perform the operation because your resource doesn't exist. If you've just created a resource that you're using in this operation, you might just need to wait a few minutes. It can take from a few seconds to a number of minutes for changes to propagate. </p>
        capo_wafv2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_wafv2.types.get_revenue_statistics_time_series_request.GetRevenueStatisticsTimeSeriesRequest]",
    ) -> OperationResponse[
        "capo_wafv2.types.get_revenue_statistics_time_series_response.GetRevenueStatisticsTimeSeriesResponse"
    ]:
        import capo_wafv2._operations.awswaf_20190729.get_revenue_statistics_time_series

        output, http_response = (
            capo_wafv2._operations.awswaf_20190729.get_revenue_statistics_time_series.get_revenue_statistics_time_series(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetRevenueStatisticsTimeSeries")
    )
    input_: capo_wafv2.types.get_revenue_statistics_time_series_request.GetRevenueStatisticsTimeSeriesRequest = {
        "statistic_type": statistic_type,
        "time_window": time_window,
        "scope": scope,
        "interval": interval,
        "currency": currency,
    }
    if group_by is not None:
        input_["group_by"] = group_by
    if filters is not None:
        input_["filters"] = filters
    if limit is not None:
        input_["limit"] = limit
    if next_marker is not None:
        input_["next_marker"] = next_marker

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