use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;
use datadog_api_client::datadogV2::model::FormulaLimit;
use datadog_api_client::datadogV2::model::MetricsDataSource;
use datadog_api_client::datadogV2::model::MetricsTimeseriesQuery;
use datadog_api_client::datadogV2::model::QueryFormula;
use datadog_api_client::datadogV2::model::QuerySortOrder;
use datadog_api_client::datadogV2::model::TimeseriesFormulaQueryRequest;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequest;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequestAttributes;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequestType;
use datadog_api_client::datadogV2::model::TimeseriesQuery;
#[tokio::main]
async fn main() {
let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
TimeseriesFormulaRequestAttributes::new(
1568899800000,
vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
MetricsTimeseriesQuery::new(
MetricsDataSource::METRICS,
"avg:system.cpu.user{*} by {env}".to_string(),
),
))],
1568923200000,
)
.formulas(vec![QueryFormula::new("a+b".to_string())
.limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
.interval(5000),
TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.QueryTimeseriesData", true);
let api = MetricsAPI::with_config(configuration);
let resp = api.query_timeseries_data(body).await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}