use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;
use datadog_api_client::datadogV2::model::SpansMetricCompute;
use datadog_api_client::datadogV2::model::SpansMetricComputeAggregationType;
use datadog_api_client::datadogV2::model::SpansMetricCreateAttributes;
use datadog_api_client::datadogV2::model::SpansMetricCreateData;
use datadog_api_client::datadogV2::model::SpansMetricCreateRequest;
use datadog_api_client::datadogV2::model::SpansMetricFilter;
use datadog_api_client::datadogV2::model::SpansMetricGroupBy;
use datadog_api_client::datadogV2::model::SpansMetricType;
#[tokio::main]
async fn main() {
let body = SpansMetricCreateRequest::new(SpansMetricCreateData::new(
SpansMetricCreateAttributes::new(
SpansMetricCompute::new(SpansMetricComputeAggregationType::DISTRIBUTION)
.include_percentiles(false)
.path("@duration".to_string()),
)
.filter(
SpansMetricFilter::new().query("@http.status_code:200 service:my-service".to_string()),
)
.group_by(vec![SpansMetricGroupBy::new("resource_name".to_string())
.tag_name("resource_name".to_string())]),
"ExampleSpansMetric".to_string(),
SpansMetricType::SPANS_METRICS,
));
let configuration = datadog::Configuration::new();
let api = SpansMetricsAPI::with_config(configuration);
let resp = api.create_spans_metric(body).await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}