2019-01-18 10:43:58 -06:00
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// Libraries
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2019-11-15 09:38:25 -06:00
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import { isEmpty, map as lodashMap, fromPairs } from 'lodash';
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import { Observable, from, merge, of, iif, defer } from 'rxjs';
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import { map, filter, catchError, switchMap, mergeMap } from 'rxjs/operators';
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2019-01-18 10:43:58 -06:00
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// Services & Utils
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2019-11-15 09:38:25 -06:00
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import { dateMath } from '@grafana/data';
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2019-11-22 05:23:21 -06:00
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import { addLabelToSelector, keepSelectorFilters } from 'app/plugins/datasource/prometheus/add_label_to_query';
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2019-11-15 09:38:25 -06:00
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import { BackendSrv, DatasourceRequestOptions } from 'app/core/services/backend_srv';
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import { TemplateSrv } from 'app/features/templating/template_srv';
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import { safeStringifyValue, convertToWebSocketUrl } from 'app/core/utils/explore';
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import {
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lokiResultsToTableModel,
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processRangeQueryResponse,
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legacyLogStreamToDataFrame,
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lokiStreamResultToDataFrame,
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isLokiLogsStream,
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} from './result_transformer';
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import { formatQuery, parseQuery, getHighlighterExpressionsFromQuery } from './query_utils';
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// Types
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2019-09-10 04:04:44 -05:00
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import {
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LogRowModel,
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DateTime,
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LoadingState,
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AnnotationEvent,
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DataFrameView,
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TimeRange,
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FieldConfig,
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ArrayVector,
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FieldType,
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DataFrame,
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TimeSeries,
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PluginMeta,
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DataSourceApi,
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DataSourceInstanceSettings,
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DataQueryError,
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DataQueryRequest,
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DataQueryResponse,
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AnnotationQueryRequest,
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2019-10-31 04:48:05 -05:00
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} from '@grafana/data';
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2018-07-20 10:07:17 -05:00
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2019-11-15 09:38:25 -06:00
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import {
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LokiQuery,
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LokiOptions,
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LokiLegacyQueryRequest,
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LokiLegacyStreamResponse,
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LokiResponse,
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LokiResultType,
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LokiRangeQueryRequest,
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LokiStreamResponse,
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LokiLegacyStreamResult,
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} from './types';
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import { ExploreMode } from 'app/types';
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import { LegacyTarget, LiveStreams } from './live_streams';
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import LanguageProvider from './language_provider';
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type RangeQueryOptions = Pick<DataQueryRequest<LokiQuery>, 'range' | 'intervalMs' | 'maxDataPoints' | 'reverse'>;
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export const DEFAULT_MAX_LINES = 1000;
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const LEGACY_QUERY_ENDPOINT = '/api/prom/query';
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const RANGE_QUERY_ENDPOINT = '/loki/api/v1/query_range';
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const INSTANT_QUERY_ENDPOINT = '/loki/api/v1/query';
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2018-07-20 10:07:17 -05:00
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const DEFAULT_QUERY_PARAMS: Partial<LokiLegacyQueryRequest> = {
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direction: 'BACKWARD',
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limit: DEFAULT_MAX_LINES,
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regexp: '',
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query: '',
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};
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function serializeParams(data: Record<string, any>) {
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return Object.keys(data)
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.map(k => `${encodeURIComponent(k)}=${encodeURIComponent(data[k])}`)
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.join('&');
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}
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interface LokiContextQueryOptions {
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direction?: 'BACKWARD' | 'FORWARD';
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limit?: number;
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}
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export class LokiDatasource extends DataSourceApi<LokiQuery, LokiOptions> {
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private streams = new LiveStreams();
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languageProvider: LanguageProvider;
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maxLines: number;
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version: string;
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2018-07-20 10:07:17 -05:00
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/** @ngInject */
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constructor(
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private instanceSettings: DataSourceInstanceSettings<LokiOptions>,
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private backendSrv: BackendSrv,
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private templateSrv: TemplateSrv
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) {
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super(instanceSettings);
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this.languageProvider = new LanguageProvider(this);
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const settingsData = instanceSettings.jsonData || {};
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this.maxLines = parseInt(settingsData.maxLines, 10) || DEFAULT_MAX_LINES;
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}
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getVersion() {
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if (this.version) {
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return Promise.resolve(this.version);
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}
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return this._request(RANGE_QUERY_ENDPOINT)
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.toPromise()
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.then(() => {
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this.version = 'v1';
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return this.version;
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})
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.catch((err: any) => {
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this.version = err.status !== 404 ? 'v1' : 'v0';
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return this.version;
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});
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}
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_request(apiUrl: string, data?: any, options?: DatasourceRequestOptions): Observable<Record<string, any>> {
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const baseUrl = this.instanceSettings.url;
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const params = data ? serializeParams(data) : '';
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const url = `${baseUrl}${apiUrl}${params.length ? `?${params}` : ''}`;
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const req = {
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...options,
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url,
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};
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2019-07-08 10:14:48 -05:00
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return from(this.backendSrv.datasourceRequest(req));
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}
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query(options: DataQueryRequest<LokiQuery>): Observable<DataQueryResponse> {
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const subQueries: Array<Observable<DataQueryResponse>> = [];
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const filteredTargets = options.targets
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.filter(target => target.expr && !target.hide)
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.map(target => ({
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...target,
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expr: this.templateSrv.replace(target.expr, {}, this.interpolateQueryExpr),
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}));
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if (options.exploreMode === ExploreMode.Metrics) {
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filteredTargets.forEach(target =>
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subQueries.push(
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this.runInstantQuery(target, options, filteredTargets.length),
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this.runRangeQueryWithFallback(target, options, filteredTargets.length)
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)
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);
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} else {
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filteredTargets.forEach(target =>
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subQueries.push(
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this.runRangeQueryWithFallback(target, options, filteredTargets.length).pipe(
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map(dataQueryResponse => {
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if (options.exploreMode === ExploreMode.Logs && dataQueryResponse.data.find(d => isTimeSeries(d))) {
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throw new Error(
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'Logs mode does not support queries that return time series data. Please perform a logs query or switch to Metrics mode.'
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);
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} else {
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return dataQueryResponse;
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}
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})
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)
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)
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);
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}
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// No valid targets, return the empty result to save a round trip.
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if (isEmpty(subQueries)) {
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return of({
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data: [],
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state: LoadingState.Done,
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});
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}
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return merge(...subQueries);
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2019-06-03 07:54:32 -05:00
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}
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2019-05-20 06:28:23 -05:00
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2019-11-15 09:38:25 -06:00
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runLegacyQuery = (
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target: LokiQuery,
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options: { range?: TimeRange; maxDataPoints?: number; reverse?: boolean }
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): Observable<DataQueryResponse> => {
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if (target.liveStreaming) {
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return this.runLiveQuery(target, options);
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}
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const range = options.range
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? { start: this.getTime(options.range.from, false), end: this.getTime(options.range.to, true) }
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: {};
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const query: LokiLegacyQueryRequest = {
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...DEFAULT_QUERY_PARAMS,
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...parseQuery(target.expr),
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...range,
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limit: Math.min(options.maxDataPoints || Infinity, this.maxLines),
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refId: target.refId,
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};
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return this._request(LEGACY_QUERY_ENDPOINT, query).pipe(
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catchError((err: any) => this.throwUnless(err, err.cancelled, target)),
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filter((response: any) => !response.cancelled),
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map((response: { data: LokiLegacyStreamResponse }) => ({
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data: this.lokiLegacyStreamsToDataframes(response.data, query, this.maxLines, options.reverse),
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key: `${target.refId}_log`,
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}))
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);
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};
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lokiLegacyStreamsToDataframes = (
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data: LokiLegacyStreamResult | LokiLegacyStreamResponse,
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target: { refId: string; query?: string; regexp?: string },
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limit: number,
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reverse = false
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): DataFrame[] => {
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if (Object.keys(data).length === 0) {
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return [];
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}
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if (isLokiLogsStream(data)) {
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return [legacyLogStreamToDataFrame(data, false, target.refId)];
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}
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const series: DataFrame[] = data.streams.map(stream => {
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const dataFrame = legacyLogStreamToDataFrame(stream, reverse);
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this.enhanceDataFrame(dataFrame);
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return {
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...dataFrame,
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refId: target.refId,
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meta: {
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searchWords: getHighlighterExpressionsFromQuery(formatQuery(target.query, target.regexp)),
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limit: this.maxLines,
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},
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};
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});
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return series;
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};
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2019-11-15 09:38:25 -06:00
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runInstantQuery = (
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target: LokiQuery,
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options: DataQueryRequest<LokiQuery>,
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responseListLength: number
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): Observable<DataQueryResponse> => {
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const timeNs = this.getTime(options.range.to, true);
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const query = {
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query: parseQuery(target.expr).query,
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time: `${timeNs + (1e9 - (timeNs % 1e9))}`,
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limit: Math.min(options.maxDataPoints || Infinity, this.maxLines),
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};
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return this._request(INSTANT_QUERY_ENDPOINT, query).pipe(
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catchError((err: any) => this.throwUnless(err, err.cancelled, target)),
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filter((response: any) => (response.cancelled ? false : true)),
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map((response: { data: LokiResponse }) => {
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if (response.data.data.resultType === LokiResultType.Stream) {
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throw new Error('Metrics mode does not support logs. Use an aggregation or switch to Logs mode.');
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}
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return {
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data: [lokiResultsToTableModel(response.data.data.result, responseListLength, target.refId, true)],
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key: `${target.refId}_instant`,
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};
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})
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);
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};
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createRangeQuery(target: LokiQuery, options: RangeQueryOptions): LokiRangeQueryRequest {
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const { query } = parseQuery(target.expr);
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let range: { start?: number; end?: number; step?: number } = {};
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if (options.range && options.intervalMs) {
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const startNs = this.getTime(options.range.from, false);
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const endNs = this.getTime(options.range.to, true);
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const rangeMs = Math.ceil((endNs - startNs) / 1e6);
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const step = this.adjustInterval(options.intervalMs, rangeMs) / 1000;
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const alignedTimes = {
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start: startNs - (startNs % 1e9),
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end: endNs + (1e9 - (endNs % 1e9)),
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};
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range = {
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start: alignedTimes.start,
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end: alignedTimes.end,
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step,
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};
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}
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return {
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...DEFAULT_QUERY_PARAMS,
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...range,
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query,
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limit: Math.min(options.maxDataPoints || Infinity, this.maxLines),
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};
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}
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/**
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* Attempts to send a query to /loki/api/v1/query_range but falls back to the legacy endpoint if necessary.
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*/
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runRangeQueryWithFallback = (
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target: LokiQuery,
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options: RangeQueryOptions,
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responseListLength = 1
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): Observable<DataQueryResponse> => {
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if (target.liveStreaming) {
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return this.runLiveQuery(target, options);
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}
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const query = this.createRangeQuery(target, options);
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return this._request(RANGE_QUERY_ENDPOINT, query).pipe(
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catchError((err: any) => this.throwUnless(err, err.cancelled || err.status === 404, target)),
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filter((response: any) => (response.cancelled ? false : true)),
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switchMap((response: { data: LokiResponse; status: number }) =>
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iif<DataQueryResponse, DataQueryResponse>(
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() => response.status === 404,
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defer(() => this.runLegacyQuery(target, options)),
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|
defer(() =>
|
|
|
|
processRangeQueryResponse(response.data, target, query, responseListLength, this.maxLines, options.reverse)
|
|
|
|
)
|
|
|
|
)
|
|
|
|
)
|
2019-05-10 07:00:39 -05:00
|
|
|
);
|
2019-06-03 07:54:32 -05:00
|
|
|
};
|
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
createLegacyLiveTarget(target: LokiQuery, options: { maxDataPoints?: number }): LegacyTarget {
|
|
|
|
const { query, regexp } = parseQuery(target.expr);
|
|
|
|
const baseUrl = this.instanceSettings.url;
|
|
|
|
const params = serializeParams({ query });
|
2019-06-03 07:54:32 -05:00
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
return {
|
|
|
|
query,
|
|
|
|
regexp,
|
|
|
|
url: convertToWebSocketUrl(`${baseUrl}/api/prom/tail?${params}`),
|
|
|
|
refId: target.refId,
|
|
|
|
size: Math.min(options.maxDataPoints || Infinity, this.maxLines),
|
|
|
|
};
|
|
|
|
}
|
2019-10-16 03:25:10 -05:00
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
createLiveTarget(target: LokiQuery, options: { maxDataPoints?: number }): LegacyTarget {
|
|
|
|
const { query, regexp } = parseQuery(target.expr);
|
|
|
|
const baseUrl = this.instanceSettings.url;
|
|
|
|
const params = serializeParams({ query });
|
|
|
|
|
|
|
|
return {
|
|
|
|
query,
|
|
|
|
regexp,
|
|
|
|
url: convertToWebSocketUrl(`${baseUrl}/loki/api/v1/tail?${params}`),
|
|
|
|
refId: target.refId,
|
|
|
|
size: Math.min(options.maxDataPoints || Infinity, this.maxLines),
|
|
|
|
};
|
2018-07-20 10:07:17 -05:00
|
|
|
}
|
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
/**
|
|
|
|
* Runs live queries which in this case means creating a websocket and listening on it for new logs.
|
|
|
|
* This returns a bit different dataFrame than runQueries as it returns single dataframe even if there are multiple
|
|
|
|
* Loki streams, sets only common labels on dataframe.labels and has additional dataframe.fields.labels for unique
|
|
|
|
* labels per row.
|
|
|
|
*/
|
|
|
|
runLiveQuery = (target: LokiQuery, options: { maxDataPoints?: number }): Observable<DataQueryResponse> => {
|
|
|
|
const liveTarget = this.createLiveTarget(target, options);
|
|
|
|
|
|
|
|
return from(this.getVersion()).pipe(
|
|
|
|
mergeMap(version =>
|
|
|
|
iif(
|
|
|
|
() => version === 'v1',
|
|
|
|
defer(() => this.streams.getStream(liveTarget)),
|
|
|
|
defer(() => {
|
|
|
|
const legacyTarget = this.createLegacyLiveTarget(target, options);
|
|
|
|
return this.streams.getLegacyStream(legacyTarget);
|
|
|
|
})
|
|
|
|
)
|
|
|
|
),
|
|
|
|
map(data => ({
|
|
|
|
data,
|
|
|
|
key: `loki-${liveTarget.refId}`,
|
|
|
|
state: LoadingState.Streaming,
|
|
|
|
}))
|
|
|
|
);
|
|
|
|
};
|
|
|
|
|
2019-10-08 10:01:20 -05:00
|
|
|
interpolateVariablesInQueries(queries: LokiQuery[]): LokiQuery[] {
|
|
|
|
let expandedQueries = queries;
|
2019-11-15 09:38:25 -06:00
|
|
|
if (queries && queries.length) {
|
|
|
|
expandedQueries = queries.map(query => ({
|
|
|
|
...query,
|
|
|
|
datasource: this.name,
|
|
|
|
expr: this.templateSrv.replace(query.expr, {}, this.interpolateQueryExpr),
|
|
|
|
}));
|
2019-10-08 10:01:20 -05:00
|
|
|
}
|
2019-11-15 09:38:25 -06:00
|
|
|
|
2019-10-08 10:01:20 -05:00
|
|
|
return expandedQueries;
|
|
|
|
}
|
|
|
|
|
2019-01-18 11:14:27 -06:00
|
|
|
async importQueries(queries: LokiQuery[], originMeta: PluginMeta): Promise<LokiQuery[]> {
|
2018-11-13 09:35:20 -06:00
|
|
|
return this.languageProvider.importQueries(queries, originMeta.id);
|
|
|
|
}
|
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
async metadataRequest(url: string, params?: Record<string, string>) {
|
|
|
|
const res = await this._request(url, params, { silent: true }).toPromise();
|
|
|
|
return {
|
|
|
|
data: { data: res.data.values || [] },
|
|
|
|
};
|
2018-07-20 10:07:17 -05:00
|
|
|
}
|
|
|
|
|
2019-11-06 10:29:44 -06:00
|
|
|
interpolateQueryExpr(value: any, variable: any) {
|
|
|
|
// if no multi or include all do not regexEscape
|
|
|
|
if (!variable.multi && !variable.includeAll) {
|
|
|
|
return lokiRegularEscape(value);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (typeof value === 'string') {
|
|
|
|
return lokiSpecialRegexEscape(value);
|
|
|
|
}
|
|
|
|
|
|
|
|
const escapedValues = lodashMap(value, lokiSpecialRegexEscape);
|
|
|
|
return escapedValues.join('|');
|
|
|
|
}
|
|
|
|
|
2019-01-18 11:14:27 -06:00
|
|
|
modifyQuery(query: LokiQuery, action: any): LokiQuery {
|
2018-11-28 03:46:35 -06:00
|
|
|
const parsed = parseQuery(query.expr || '');
|
2019-05-13 02:58:26 -05:00
|
|
|
let { query: selector } = parsed;
|
2019-11-22 05:23:21 -06:00
|
|
|
let selectorLabels, selectorFilters;
|
2018-11-28 03:46:35 -06:00
|
|
|
switch (action.type) {
|
|
|
|
case 'ADD_FILTER': {
|
2019-11-22 05:23:21 -06:00
|
|
|
selectorLabels = addLabelToSelector(selector, action.key, action.value);
|
|
|
|
selectorFilters = keepSelectorFilters(selector);
|
|
|
|
selector = `${selectorLabels} ${selectorFilters}`;
|
2018-11-28 03:46:35 -06:00
|
|
|
break;
|
|
|
|
}
|
2019-11-01 04:01:00 -05:00
|
|
|
case 'ADD_FILTER_OUT': {
|
2019-11-22 05:23:21 -06:00
|
|
|
selectorLabels = addLabelToSelector(selector, action.key, action.value, '!=');
|
|
|
|
selectorFilters = keepSelectorFilters(selector);
|
|
|
|
selector = `${selectorLabels} ${selectorFilters}`;
|
2019-11-01 04:01:00 -05:00
|
|
|
break;
|
|
|
|
}
|
2018-11-28 03:46:35 -06:00
|
|
|
default:
|
|
|
|
break;
|
|
|
|
}
|
2019-11-15 09:38:25 -06:00
|
|
|
|
2018-11-28 03:46:35 -06:00
|
|
|
const expression = formatQuery(selector, parsed.regexp);
|
|
|
|
return { ...query, expr: expression };
|
|
|
|
}
|
|
|
|
|
2019-05-13 02:58:26 -05:00
|
|
|
getHighlighterExpression(query: LokiQuery): string[] {
|
|
|
|
return getHighlighterExpressionsFromQuery(query.expr);
|
2018-12-01 08:26:51 -06:00
|
|
|
}
|
|
|
|
|
2019-06-18 04:01:12 -05:00
|
|
|
getTime(date: string | DateTime, roundUp: boolean) {
|
2019-11-15 09:38:25 -06:00
|
|
|
if (typeof date === 'string') {
|
2018-07-20 10:07:17 -05:00
|
|
|
date = dateMath.parse(date, roundUp);
|
|
|
|
}
|
2019-11-15 09:38:25 -06:00
|
|
|
|
2018-07-20 10:07:17 -05:00
|
|
|
return Math.ceil(date.valueOf() * 1e6);
|
|
|
|
}
|
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
getLogRowContext = (row: LogRowModel, options?: LokiContextQueryOptions) => {
|
|
|
|
const target = this.prepareLogRowContextQueryTarget(
|
|
|
|
row,
|
|
|
|
(options && options.limit) || 10,
|
|
|
|
(options && options.direction) || 'BACKWARD'
|
|
|
|
);
|
|
|
|
|
|
|
|
const reverse = options && options.direction === 'FORWARD';
|
|
|
|
return this._request(RANGE_QUERY_ENDPOINT, target)
|
|
|
|
.pipe(
|
|
|
|
catchError((err: any) => {
|
|
|
|
if (err.status === 404) {
|
|
|
|
return of(err);
|
|
|
|
}
|
|
|
|
|
|
|
|
const error: DataQueryError = {
|
|
|
|
message: 'Error during context query. Please check JS console logs.',
|
|
|
|
status: err.status,
|
|
|
|
statusText: err.statusText,
|
|
|
|
};
|
|
|
|
throw error;
|
|
|
|
}),
|
|
|
|
switchMap((res: { data: LokiStreamResponse; status: number }) =>
|
|
|
|
iif(
|
|
|
|
() => res.status === 404,
|
|
|
|
this._request(LEGACY_QUERY_ENDPOINT, target).pipe(
|
|
|
|
catchError((err: any) => {
|
|
|
|
const error: DataQueryError = {
|
|
|
|
message: 'Error during context query. Please check JS console logs.',
|
|
|
|
status: err.status,
|
|
|
|
statusText: err.statusText,
|
|
|
|
};
|
|
|
|
throw error;
|
|
|
|
}),
|
|
|
|
map((res: { data: LokiLegacyStreamResponse }) => ({
|
|
|
|
data: res.data ? res.data.streams.map(stream => legacyLogStreamToDataFrame(stream, reverse)) : [],
|
|
|
|
}))
|
|
|
|
),
|
|
|
|
of({
|
|
|
|
data: res.data ? res.data.data.result.map(stream => lokiStreamResultToDataFrame(stream, reverse)) : [],
|
|
|
|
})
|
|
|
|
)
|
|
|
|
)
|
|
|
|
)
|
|
|
|
.toPromise();
|
|
|
|
};
|
|
|
|
|
2019-05-22 16:10:05 -05:00
|
|
|
prepareLogRowContextQueryTarget = (row: LogRowModel, limit: number, direction: 'BACKWARD' | 'FORWARD') => {
|
2019-05-20 01:44:37 -05:00
|
|
|
const query = Object.keys(row.labels)
|
2019-11-15 09:38:25 -06:00
|
|
|
.map(label => `${label}="${row.labels[label]}"`)
|
2019-05-20 01:44:37 -05:00
|
|
|
.join(',');
|
2019-11-15 09:38:25 -06:00
|
|
|
|
2019-05-20 01:44:37 -05:00
|
|
|
const contextTimeBuffer = 2 * 60 * 60 * 1000 * 1e6; // 2h buffer
|
|
|
|
const timeEpochNs = row.timeEpochMs * 1e6;
|
2019-11-15 09:38:25 -06:00
|
|
|
const commonTargetOptions = {
|
2019-05-20 01:44:37 -05:00
|
|
|
limit,
|
|
|
|
query: `{${query}}`,
|
2019-11-15 09:38:25 -06:00
|
|
|
expr: `{${query}}`,
|
2019-05-22 16:10:05 -05:00
|
|
|
direction,
|
2019-05-20 01:44:37 -05:00
|
|
|
};
|
2019-05-22 16:10:05 -05:00
|
|
|
|
|
|
|
if (direction === 'BACKWARD') {
|
|
|
|
return {
|
2019-11-15 09:38:25 -06:00
|
|
|
...commonTargetOptions,
|
2019-05-20 01:44:37 -05:00
|
|
|
start: timeEpochNs - contextTimeBuffer,
|
2019-11-15 09:38:25 -06:00
|
|
|
end: timeEpochNs, // using RFC3339Nano format to avoid precision loss
|
2019-05-22 16:10:05 -05:00
|
|
|
direction,
|
|
|
|
};
|
|
|
|
} else {
|
|
|
|
return {
|
2019-11-15 09:38:25 -06:00
|
|
|
...commonTargetOptions,
|
|
|
|
start: timeEpochNs, // start param in Loki API is inclusive so we'll have to filter out the row that this request is based from
|
2019-05-20 01:44:37 -05:00
|
|
|
end: timeEpochNs + contextTimeBuffer,
|
2019-05-22 16:10:05 -05:00
|
|
|
};
|
|
|
|
}
|
2019-05-20 01:44:37 -05:00
|
|
|
};
|
|
|
|
|
2018-07-20 10:07:17 -05:00
|
|
|
testDatasource() {
|
2019-08-03 09:58:08 -05:00
|
|
|
// Consider only last 10 minutes otherwise request takes too long
|
|
|
|
const startMs = Date.now() - 10 * 60 * 1000;
|
|
|
|
const start = `${startMs}000000`; // API expects nanoseconds
|
2019-11-15 09:38:25 -06:00
|
|
|
return this._request('/loki/api/v1/label', { start })
|
|
|
|
.pipe(
|
|
|
|
catchError((err: any) => {
|
|
|
|
if (err.status === 404) {
|
|
|
|
return of(err);
|
|
|
|
}
|
2018-12-05 17:19:55 -06:00
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
throw err;
|
|
|
|
}),
|
|
|
|
switchMap((response: { data: { values: string[] }; status: number }) =>
|
|
|
|
iif<DataQueryResponse, DataQueryResponse>(
|
|
|
|
() => response.status === 404,
|
|
|
|
defer(() => this._request('/api/prom/label', { start })),
|
|
|
|
defer(() => of(response))
|
|
|
|
)
|
|
|
|
),
|
|
|
|
map(res =>
|
|
|
|
res && res.data && res.data.values && res.data.values.length
|
|
|
|
? { status: 'success', message: 'Data source connected and labels found.' }
|
|
|
|
: {
|
|
|
|
status: 'error',
|
|
|
|
message:
|
|
|
|
'Data source connected, but no labels received. Verify that Loki and Promtail is configured properly.',
|
|
|
|
}
|
|
|
|
),
|
|
|
|
catchError((err: any) => {
|
|
|
|
let message = 'Loki: ';
|
|
|
|
if (err.statusText) {
|
|
|
|
message += err.statusText;
|
|
|
|
} else {
|
|
|
|
message += 'Cannot connect to Loki';
|
|
|
|
}
|
2018-12-05 17:19:55 -06:00
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
if (err.status) {
|
|
|
|
message += `. ${err.status}`;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (err.data && err.data.message) {
|
|
|
|
message += `. ${err.data.message}`;
|
|
|
|
} else if (err.data) {
|
|
|
|
message += `. ${err.data}`;
|
|
|
|
}
|
|
|
|
return of({ status: 'error', message: message });
|
|
|
|
})
|
|
|
|
)
|
|
|
|
.toPromise();
|
2018-07-20 10:07:17 -05:00
|
|
|
}
|
2019-09-10 04:04:44 -05:00
|
|
|
|
|
|
|
async annotationQuery(options: AnnotationQueryRequest<LokiQuery>): Promise<AnnotationEvent[]> {
|
|
|
|
if (!options.annotation.expr) {
|
|
|
|
return [];
|
|
|
|
}
|
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
const query = { refId: `annotation-${options.annotation.name}`, expr: options.annotation.expr };
|
|
|
|
const { data } = await this.runRangeQueryWithFallback(query, options).toPromise();
|
2019-09-10 04:04:44 -05:00
|
|
|
const annotations: AnnotationEvent[] = [];
|
2019-09-12 10:28:46 -05:00
|
|
|
|
2019-09-10 04:04:44 -05:00
|
|
|
for (const frame of data) {
|
2019-11-07 09:50:45 -06:00
|
|
|
const tags: string[] = [];
|
|
|
|
for (const field of frame.fields) {
|
|
|
|
if (field.labels) {
|
|
|
|
tags.push.apply(tags, Object.values(field.labels));
|
|
|
|
}
|
|
|
|
}
|
2019-09-10 04:04:44 -05:00
|
|
|
const view = new DataFrameView<{ ts: string; line: string }>(frame);
|
2019-09-12 10:28:46 -05:00
|
|
|
|
2019-09-10 04:04:44 -05:00
|
|
|
view.forEachRow(row => {
|
|
|
|
annotations.push({
|
|
|
|
time: new Date(row.ts).valueOf(),
|
|
|
|
text: row.line,
|
|
|
|
tags,
|
|
|
|
});
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
|
|
|
return annotations;
|
|
|
|
}
|
2019-11-06 09:15:08 -06:00
|
|
|
|
|
|
|
/**
|
|
|
|
* Adds new fields and DataLinks to DataFrame based on DataSource instance config.
|
|
|
|
* @param dataFrame
|
|
|
|
*/
|
|
|
|
enhanceDataFrame(dataFrame: DataFrame): void {
|
|
|
|
if (!this.instanceSettings.jsonData) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
const derivedFields = this.instanceSettings.jsonData.derivedFields || [];
|
|
|
|
if (derivedFields.length) {
|
|
|
|
const fields = fromPairs(
|
|
|
|
derivedFields.map(field => {
|
|
|
|
const config: FieldConfig = {};
|
|
|
|
if (field.url) {
|
|
|
|
config.links = [
|
|
|
|
{
|
|
|
|
url: field.url,
|
|
|
|
title: '',
|
|
|
|
},
|
|
|
|
];
|
|
|
|
}
|
|
|
|
const dataFrameField = {
|
|
|
|
name: field.name,
|
|
|
|
type: FieldType.string,
|
|
|
|
config,
|
|
|
|
values: new ArrayVector<string>([]),
|
|
|
|
};
|
|
|
|
|
|
|
|
return [field.name, dataFrameField];
|
|
|
|
})
|
|
|
|
);
|
|
|
|
|
|
|
|
const view = new DataFrameView(dataFrame);
|
|
|
|
view.forEachRow((row: { line: string }) => {
|
|
|
|
for (const field of derivedFields) {
|
|
|
|
const logMatch = row.line.match(field.matcherRegex);
|
|
|
|
fields[field.name].values.add(logMatch && logMatch[1]);
|
|
|
|
}
|
|
|
|
});
|
|
|
|
|
|
|
|
dataFrame.fields = [...dataFrame.fields, ...Object.values(fields)];
|
|
|
|
}
|
|
|
|
}
|
2019-09-10 04:04:44 -05:00
|
|
|
|
2019-11-15 09:38:25 -06:00
|
|
|
throwUnless = (err: any, condition: boolean, target: LokiQuery) => {
|
|
|
|
if (condition) {
|
|
|
|
return of(err);
|
|
|
|
}
|
|
|
|
|
|
|
|
const error: DataQueryError = this.processError(err, target);
|
|
|
|
throw error;
|
2019-09-10 04:04:44 -05:00
|
|
|
};
|
2019-11-15 09:38:25 -06:00
|
|
|
|
|
|
|
processError = (err: any, target: LokiQuery): DataQueryError => {
|
|
|
|
const error: DataQueryError = {
|
|
|
|
message: (err && err.statusText) || 'Unknown error during query transaction. Please check JS console logs.',
|
|
|
|
refId: target.refId,
|
|
|
|
};
|
|
|
|
|
|
|
|
if (err.data) {
|
|
|
|
if (typeof err.data === 'string') {
|
|
|
|
error.message = err.data;
|
|
|
|
} else if (err.data.error) {
|
|
|
|
error.message = safeStringifyValue(err.data.error);
|
|
|
|
}
|
|
|
|
} else if (err.message) {
|
|
|
|
error.message = err.message;
|
|
|
|
} else if (typeof err === 'string') {
|
|
|
|
error.message = err;
|
|
|
|
}
|
|
|
|
|
|
|
|
error.status = err.status;
|
|
|
|
error.statusText = err.statusText;
|
|
|
|
|
|
|
|
return error;
|
|
|
|
};
|
|
|
|
|
|
|
|
adjustInterval(interval: number, range: number) {
|
|
|
|
// Loki will drop queries that might return more than 11000 data points.
|
|
|
|
// Calibrate interval if it is too small.
|
|
|
|
if (interval !== 0 && range / interval > 11000) {
|
|
|
|
interval = Math.ceil(range / 11000);
|
|
|
|
}
|
|
|
|
return Math.max(interval, 1000);
|
|
|
|
}
|
2018-07-20 10:07:17 -05:00
|
|
|
}
|
2019-01-23 10:44:22 -06:00
|
|
|
|
2019-11-06 10:29:44 -06:00
|
|
|
export function lokiRegularEscape(value: any) {
|
|
|
|
if (typeof value === 'string') {
|
|
|
|
return value.replace(/'/g, "\\\\'");
|
|
|
|
}
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
|
|
|
export function lokiSpecialRegexEscape(value: any) {
|
|
|
|
if (typeof value === 'string') {
|
|
|
|
return lokiRegularEscape(value.replace(/\\/g, '\\\\\\\\').replace(/[$^*{}\[\]+?.()|]/g, '\\\\$&'));
|
|
|
|
}
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
2019-01-23 10:44:22 -06:00
|
|
|
export default LokiDatasource;
|
2019-11-15 09:38:25 -06:00
|
|
|
|
|
|
|
function isTimeSeries(data: any): data is TimeSeries {
|
|
|
|
return data.hasOwnProperty('datapoints');
|
|
|
|
}
|