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ci.datadog-api-spec
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Regenerate client from commit 8d710f7 of spec repo
1 parent ed7c570 commit d6e0c00

39 files changed

Lines changed: 2719 additions & 3 deletions

‎.generator/schemas/v2/openapi.yaml‎

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‎examples/v2/metrics/QueryScalarData_1479548882.ts‎

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/**
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* Scalar cross product query with apm_resource_stats data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "apm_resource_stats",
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name: "a",
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env: "staging",
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service: "azure-bill-import",
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stat: "hits",
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operationName: "cassandra.query",
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groupBy: ["resource_name"],
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primaryTagName: "datacenter",
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primaryTagValue: "*",
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryScalarData_1904811219.ts‎

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/**
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* Scalar cross product query with apm_metrics data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "apm_metrics",
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name: "a",
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stat: "hits",
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service: "web-store",
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queryFilter: "env:prod",
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groupBy: ["resource_name"],
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryScalarData_2298288525.ts‎

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/**
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* Scalar cross product query with slo data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "slo",
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name: "a",
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sloId: "12345678910",
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measure: "slo_status",
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sloQueryType: "metric",
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groupMode: "overall",
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additionalQueryFilters: "*",
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryScalarData_2533499017.ts‎

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/**
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* Scalar cross product query with apm_dependency_stats data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "apm_dependency_stats",
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name: "a",
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env: "ci",
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service: "cassandra",
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stat: "avg_duration",
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operationName: "cassandra.query",
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resourceName:
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"DELETE FROM monitor_history.monitor_state_change_history WHERE org_id = ? AND monitor_id IN ? AND group = ?",
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primaryTagName: "datacenter",
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primaryTagValue: "edge-eu1.prod.dog",
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryScalarData_4230617918.ts‎

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/**
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* Scalar cross product query with process data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "process",
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name: "a",
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metric: "process.stat.cpu.total_pct",
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aggregator: "avg",
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textFilter: "",
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tagFilters: [],
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limit: 10,
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sort: "desc",
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isNormalizedCpu: false,
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryScalarData_891952130.ts‎

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/**
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* Scalar cross product query with container data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryScalarDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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queries: [
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{
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dataSource: "container",
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name: "a",
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metric: "container.cpu.usage",
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aggregator: "avg",
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tagFilters: [],
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limit: 10,
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sort: "desc",
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},
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],
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to: 1636629071000,
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},
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type: "scalar_request",
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},
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},
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};
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apiInstance
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.queryScalarData(params)
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.then((data: v2.ScalarFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎examples/v2/metrics/QueryTimeseriesData_108927825.ts‎

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/**
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* Timeseries cross product query with slo data source returns "OK" response
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*/
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import { client, v2 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v2.MetricsApi(configuration);
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const params: v2.MetricsApiQueryTimeseriesDataRequest = {
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body: {
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data: {
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attributes: {
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formulas: [
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{
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formula: "a",
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limit: {
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count: 10,
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order: "desc",
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},
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},
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],
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from: 1636625471000,
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interval: 5000,
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queries: [
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{
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dataSource: "slo",
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name: "a",
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sloId: "12345678910",
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measure: "slo_status",
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sloQueryType: "metric",
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groupMode: "overall",
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additionalQueryFilters: "*",
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},
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],
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to: 1636629071000,
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},
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type: "timeseries_request",
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},
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},
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};
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apiInstance
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.queryTimeseriesData(params)
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.then((data: v2.TimeseriesFormulaQueryResponse) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

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