mirror of
https://github.com/grafana/grafana.git
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203 lines
6.2 KiB
TypeScript
203 lines
6.2 KiB
TypeScript
import _ from 'lodash';
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import AzureMonitorDatasource from './azure_monitor/azure_monitor_datasource';
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import AppInsightsDatasource from './app_insights/app_insights_datasource';
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import AzureLogAnalyticsDatasource from './azure_log_analytics/azure_log_analytics_datasource';
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import { AzureMonitorQuery, AzureDataSourceJsonData } from './types';
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import { DataSourceApi, DataQueryRequest, DataSourceInstanceSettings } from '@grafana/ui/src/types';
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import { BackendSrv } from 'app/core/services/backend_srv';
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import { TemplateSrv } from 'app/features/templating/template_srv';
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export default class Datasource extends DataSourceApi<AzureMonitorQuery, AzureDataSourceJsonData> {
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azureMonitorDatasource: AzureMonitorDatasource;
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appInsightsDatasource: AppInsightsDatasource;
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azureLogAnalyticsDatasource: AzureLogAnalyticsDatasource;
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/** @ngInject */
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constructor(
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instanceSettings: DataSourceInstanceSettings<AzureDataSourceJsonData>,
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private backendSrv: BackendSrv,
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private templateSrv: TemplateSrv,
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private $q
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) {
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super(instanceSettings);
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this.azureMonitorDatasource = new AzureMonitorDatasource(instanceSettings, this.backendSrv, this.templateSrv);
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this.appInsightsDatasource = new AppInsightsDatasource(
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instanceSettings,
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this.backendSrv,
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this.templateSrv,
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this.$q
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);
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this.azureLogAnalyticsDatasource = new AzureLogAnalyticsDatasource(
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instanceSettings,
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this.backendSrv,
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this.templateSrv,
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this.$q
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);
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}
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async query(options: DataQueryRequest<AzureMonitorQuery>) {
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const promises: any[] = [];
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const azureMonitorOptions = _.cloneDeep(options);
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const appInsightsOptions = _.cloneDeep(options);
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const azureLogAnalyticsOptions = _.cloneDeep(options);
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azureMonitorOptions.targets = _.filter(azureMonitorOptions.targets, ['queryType', 'Azure Monitor']);
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appInsightsOptions.targets = _.filter(appInsightsOptions.targets, ['queryType', 'Application Insights']);
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azureLogAnalyticsOptions.targets = _.filter(azureLogAnalyticsOptions.targets, ['queryType', 'Azure Log Analytics']);
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if (azureMonitorOptions.targets.length > 0) {
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const amPromise = this.azureMonitorDatasource.query(azureMonitorOptions);
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if (amPromise) {
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promises.push(amPromise);
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}
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}
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if (appInsightsOptions.targets.length > 0) {
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const aiPromise = this.appInsightsDatasource.query(appInsightsOptions);
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if (aiPromise) {
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promises.push(aiPromise);
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}
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}
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if (azureLogAnalyticsOptions.targets.length > 0) {
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const alaPromise = this.azureLogAnalyticsDatasource.query(azureLogAnalyticsOptions);
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if (alaPromise) {
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promises.push(alaPromise);
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}
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}
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if (promises.length === 0) {
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return this.$q.when({ data: [] });
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}
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return Promise.all(promises).then(results => {
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return { data: _.flatten(results) };
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});
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}
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async annotationQuery(options) {
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return this.azureLogAnalyticsDatasource.annotationQuery(options);
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}
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async metricFindQuery(query: string) {
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if (!query) {
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return Promise.resolve([]);
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}
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const aiResult = this.appInsightsDatasource.metricFindQuery(query);
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if (aiResult) {
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return aiResult;
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}
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const amResult = this.azureMonitorDatasource.metricFindQuery(query);
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if (amResult) {
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return amResult;
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}
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const alaResult = this.azureLogAnalyticsDatasource.metricFindQuery(query);
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if (alaResult) {
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return alaResult;
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}
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return Promise.resolve([]);
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}
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async testDatasource() {
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const promises: any[] = [];
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if (this.azureMonitorDatasource.isConfigured()) {
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promises.push(this.azureMonitorDatasource.testDatasource());
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}
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if (this.appInsightsDatasource.isConfigured()) {
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promises.push(this.appInsightsDatasource.testDatasource());
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}
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if (this.azureLogAnalyticsDatasource.isConfigured()) {
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promises.push(this.azureLogAnalyticsDatasource.testDatasource());
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}
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if (promises.length === 0) {
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return {
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status: 'error',
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message: `Nothing configured. At least one of the API's must be configured.`,
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title: 'Error',
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};
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}
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return Promise.all(promises).then(results => {
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let status = 'success';
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let message = '';
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for (let i = 0; i < results.length; i++) {
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if (results[i].status !== 'success') {
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status = results[i].status;
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}
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message += `${i + 1}. ${results[i].message} `;
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}
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return {
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status: status,
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message: message,
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title: _.upperFirst(status),
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};
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});
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}
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/* Azure Monitor REST API methods */
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getResourceGroups(subscriptionId: string) {
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return this.azureMonitorDatasource.getResourceGroups(subscriptionId);
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}
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getMetricDefinitions(subscriptionId: string, resourceGroup: string) {
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return this.azureMonitorDatasource.getMetricDefinitions(subscriptionId, resourceGroup);
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}
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getResourceNames(subscriptionId: string, resourceGroup: string, metricDefinition: string) {
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return this.azureMonitorDatasource.getResourceNames(subscriptionId, resourceGroup, metricDefinition);
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}
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getMetricNames(subscriptionId: string, resourceGroup: string, metricDefinition: string, resourceName: string) {
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return this.azureMonitorDatasource.getMetricNames(subscriptionId, resourceGroup, metricDefinition, resourceName);
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}
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getMetricMetadata(
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subscriptionId: string,
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resourceGroup: string,
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metricDefinition: string,
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resourceName: string,
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metricName: string
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) {
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return this.azureMonitorDatasource.getMetricMetadata(
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subscriptionId,
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resourceGroup,
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metricDefinition,
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resourceName,
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metricName
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);
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}
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/* Application Insights API method */
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getAppInsightsMetricNames() {
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return this.appInsightsDatasource.getMetricNames();
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}
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getAppInsightsMetricMetadata(metricName) {
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return this.appInsightsDatasource.getMetricMetadata(metricName);
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}
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getAppInsightsColumns(refId) {
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return this.appInsightsDatasource.logAnalyticsColumns[refId];
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}
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/*Azure Log Analytics */
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getAzureLogAnalyticsWorkspaces(subscriptionId: string) {
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return this.azureLogAnalyticsDatasource.getWorkspaces(subscriptionId);
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}
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getSubscriptions() {
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return this.azureMonitorDatasource.getSubscriptions();
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}
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}
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