// Aggregate compute events with group by returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs::LogsAPI;
use datadog_api_client::datadogV2::model::LogsAggregateRequest;
use datadog_api_client::datadogV2::model::LogsAggregateSort;
use datadog_api_client::datadogV2::model::LogsAggregateSortType;
use datadog_api_client::datadogV2::model::LogsAggregationFunction;
use datadog_api_client::datadogV2::model::LogsCompute;
use datadog_api_client::datadogV2::model::LogsComputeType;
use datadog_api_client::datadogV2::model::LogsGroupBy;
use datadog_api_client::datadogV2::model::LogsGroupByMissing;
use datadog_api_client::datadogV2::model::LogsQueryFilter;
use datadog_api_client::datadogV2::model::LogsSortOrder;

#[tokio::main]
async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
