mirror of
https://github.com/grafana/grafana.git
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643 lines
21 KiB
TypeScript
643 lines
21 KiB
TypeScript
// Libraries
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import { cloneDeep, isEmpty, map as lodashMap } from 'lodash';
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import { merge, Observable, of, throwError } from 'rxjs';
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import { catchError, map, switchMap } from 'rxjs/operators';
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import Prism from 'prismjs';
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// Types
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import {
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AnnotationEvent,
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AnnotationQueryRequest,
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DataFrame,
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DataFrameView,
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DataQuery,
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DataQueryError,
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DataQueryRequest,
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DataQueryResponse,
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DataSourceApi,
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DataSourceInstanceSettings,
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dateMath,
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DateTime,
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FieldCache,
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LoadingState,
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LogRowModel,
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QueryResultMeta,
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ScopedVars,
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} from '@grafana/data';
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import { getTemplateSrv, TemplateSrv, BackendSrvRequest, FetchError, getBackendSrv } from '@grafana/runtime';
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import { addLabelToQuery } from 'app/plugins/datasource/prometheus/add_label_to_query';
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import { getTimeSrv, TimeSrv } from 'app/features/dashboard/services/TimeSrv';
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import { convertToWebSocketUrl } from 'app/core/utils/explore';
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import {
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lokiResultsToTableModel,
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lokiStreamResultToDataFrame,
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lokiStreamsToDataFrames,
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processRangeQueryResponse,
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} from './result_transformer';
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import { getHighlighterExpressionsFromQuery } from './query_utils';
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import {
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LokiOptions,
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LokiQuery,
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LokiRangeQueryRequest,
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LokiResponse,
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LokiResultType,
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LokiStreamResponse,
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} from './types';
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import { LiveStreams, LokiLiveTarget } from './live_streams';
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import LanguageProvider from './language_provider';
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import { serializeParams } from '../../../core/utils/fetch';
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import { RowContextOptions } from '@grafana/ui/src/components/Logs/LogRowContextProvider';
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import syntax from './syntax';
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export type RangeQueryOptions = DataQueryRequest<LokiQuery> | AnnotationQueryRequest<LokiQuery>;
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export const DEFAULT_MAX_LINES = 1000;
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export const LOKI_ENDPOINT = '/loki/api/v1';
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const NS_IN_MS = 1000000;
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const RANGE_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query_range`;
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const INSTANT_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query`;
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const DEFAULT_QUERY_PARAMS: Partial<LokiRangeQueryRequest> = {
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direction: 'BACKWARD',
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limit: DEFAULT_MAX_LINES,
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query: '',
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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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constructor(
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private instanceSettings: DataSourceInstanceSettings<LokiOptions>,
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private readonly templateSrv: TemplateSrv = getTemplateSrv(),
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private readonly timeSrv: TimeSrv = getTimeSrv()
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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 ?? '0', 10) || DEFAULT_MAX_LINES;
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}
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_request(apiUrl: string, data?: any, options?: Partial<BackendSrvRequest>): 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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return getBackendSrv().fetch<Record<string, any>>(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, options.scopedVars, this.interpolateQueryExpr),
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}));
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for (const target of filteredTargets) {
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if (target.instant) {
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subQueries.push(this.runInstantQuery(target, options, filteredTargets.length));
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} else {
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subQueries.push(this.runRangeQuery(target, options, filteredTargets.length));
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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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}
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runInstantQuery = (
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target: LokiQuery,
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options: DataQueryRequest<LokiQuery>,
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responseListLength = 1
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): Observable<DataQueryResponse> => {
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const timeNs = this.getTime(options.range.to, true);
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const queryLimit = isMetricsQuery(target.expr) ? options.maxDataPoints : target.maxLines;
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const query = {
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query: target.expr,
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time: `${timeNs + (1e9 - (timeNs % 1e9))}`,
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limit: Math.min(queryLimit || Infinity, this.maxLines),
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};
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/** Used only for results of metrics instant queries */
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const meta: QueryResultMeta = {
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preferredVisualisationType: 'table',
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};
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return this._request(INSTANT_QUERY_ENDPOINT, query).pipe(
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map((response: { data: LokiResponse }) => {
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if (response.data.data.resultType === LokiResultType.Stream) {
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return {
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data: response.data
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? lokiStreamsToDataFrames(
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response.data as LokiStreamResponse,
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target,
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query.limit,
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this.instanceSettings.jsonData
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)
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: [],
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key: `${target.refId}_instant`,
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};
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}
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return {
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data: [lokiResultsToTableModel(response.data.data.result, responseListLength, target.refId, meta, true)],
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key: `${target.refId}_instant`,
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};
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}),
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catchError((err: any) => this.throwUnless(err, err.status === 404, target))
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);
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};
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createRangeQuery(target: LokiQuery, options: RangeQueryOptions, limit: number): LokiRangeQueryRequest {
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const query = target.expr;
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let range: { start?: number; end?: number; step?: number } = {};
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if (options.range) {
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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 adjustedInterval =
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this.adjustInterval((options as DataQueryRequest<LokiQuery>).intervalMs || 1000, rangeMs) / 1000;
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// We want to ceil to 3 decimal places
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const step = Math.ceil(adjustedInterval * 1000) / 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,
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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
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*/
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runRangeQuery = (
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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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// For metric query we use maxDataPoints from the request options which should be something like width of the
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// visualisation in pixels. In case of logs request we either use lines limit defined in the query target or
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// global limit defined for the data source which ever is lower.
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let maxDataPoints = isMetricsQuery(target.expr)
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? // We fallback to maxLines here because maxDataPoints is defined as possibly undefined. Not sure that can
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// actually happen both Dashboards and Explore should send some value here. If not maxLines does not make that
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// much sense but nor any other arbitrary value.
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(options as DataQueryRequest<LokiQuery>).maxDataPoints || this.maxLines
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: // If user wants maxLines 0 we still fallback to data source limit. I think that makes sense as why would anyone
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// want to do a query and not see any results?
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target.maxLines || this.maxLines;
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if ((options as DataQueryRequest<LokiQuery>).liveStreaming) {
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return this.runLiveQuery(target, maxDataPoints);
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}
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const query = this.createRangeQuery(target, options, maxDataPoints);
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return this._request(RANGE_QUERY_ENDPOINT, query).pipe(
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catchError((err: any) => this.throwUnless(err, err.status === 404, target)),
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switchMap((response: { data: LokiResponse; status: number }) =>
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processRangeQueryResponse(
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response.data,
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target,
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query,
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responseListLength,
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maxDataPoints,
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this.instanceSettings.jsonData,
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(options as DataQueryRequest<LokiQuery>).scopedVars,
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(options as DataQueryRequest<LokiQuery>).reverse
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)
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)
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);
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};
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createLiveTarget(target: LokiQuery, maxDataPoints: number): LokiLiveTarget {
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const query = target.expr;
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const baseUrl = this.instanceSettings.url;
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const params = serializeParams({ query });
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return {
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query,
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url: convertToWebSocketUrl(`${baseUrl}/loki/api/v1/tail?${params}`),
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refId: target.refId,
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size: maxDataPoints,
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};
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}
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/**
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* Runs live queries which in this case means creating a websocket and listening on it for new logs.
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* This returns a bit different dataFrame than runQueries as it returns single dataframe even if there are multiple
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* Loki streams, sets only common labels on dataframe.labels and has additional dataframe.fields.labels for unique
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* labels per row.
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*/
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runLiveQuery = (target: LokiQuery, maxDataPoints: number): Observable<DataQueryResponse> => {
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const liveTarget = this.createLiveTarget(target, maxDataPoints);
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return this.streams.getStream(liveTarget).pipe(
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map((data) => ({
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data: data || [],
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key: `loki-${liveTarget.refId}`,
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state: LoadingState.Streaming,
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})),
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catchError((err: any) => {
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return throwError(`Live tailing was stopped due to following error: ${err.reason}`);
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})
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);
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};
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interpolateVariablesInQueries(queries: LokiQuery[], scopedVars: ScopedVars): LokiQuery[] {
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let expandedQueries = queries;
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if (queries && queries.length) {
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expandedQueries = queries.map((query) => ({
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...query,
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datasource: this.name,
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expr: this.templateSrv.replace(query.expr, scopedVars, this.interpolateQueryExpr),
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}));
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}
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return expandedQueries;
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}
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getQueryDisplayText(query: LokiQuery) {
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return query.expr;
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}
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getTimeRangeParams() {
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const timeRange = this.timeSrv.timeRange();
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return { from: timeRange.from.valueOf() * NS_IN_MS, to: timeRange.to.valueOf() * NS_IN_MS };
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}
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async importQueries(queries: DataQuery[], originDataSource: DataSourceApi): Promise<LokiQuery[]> {
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return this.languageProvider.importQueries(queries, originDataSource);
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}
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async metadataRequest(url: string, params?: Record<string, string | number>) {
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const res = await this._request(url, params, { hideFromInspector: true }).toPromise();
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return res.data.data || res.data.values || [];
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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 interpolated = this.templateSrv.replace(query, {}, this.interpolateQueryExpr);
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return await this.processMetricFindQuery(interpolated);
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}
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async processMetricFindQuery(query: string) {
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const labelNamesRegex = /^label_names\(\)\s*$/;
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const labelValuesRegex = /^label_values\((?:(.+),\s*)?([a-zA-Z_][a-zA-Z0-9_]*)\)\s*$/;
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const labelNames = query.match(labelNamesRegex);
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if (labelNames) {
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return await this.labelNamesQuery();
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}
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const labelValues = query.match(labelValuesRegex);
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if (labelValues) {
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// If we have query expr, use /series endpoint
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if (labelValues[1]) {
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return await this.labelValuesSeriesQuery(labelValues[1], labelValues[2]);
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}
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return await this.labelValuesQuery(labelValues[2]);
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}
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return Promise.resolve([]);
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}
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async labelNamesQuery() {
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const url = `${LOKI_ENDPOINT}/label`;
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const params = this.getTimeRangeParams();
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const result = await this.metadataRequest(url, params);
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return result.map((value: string) => ({ text: value }));
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}
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async labelValuesQuery(label: string) {
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const params = this.getTimeRangeParams();
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const url = `${LOKI_ENDPOINT}/label/${label}/values`;
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const result = await this.metadataRequest(url, params);
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return result.map((value: string) => ({ text: value }));
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}
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async labelValuesSeriesQuery(expr: string, label: string) {
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const timeParams = this.getTimeRangeParams();
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const params = {
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...timeParams,
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match: expr,
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};
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const url = `${LOKI_ENDPOINT}/series`;
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const streams = new Set();
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const result = await this.metadataRequest(url, params);
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result.forEach((stream: { [key: string]: string }) => {
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if (stream[label]) {
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streams.add({ text: stream[label] });
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}
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});
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return Array.from(streams);
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}
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interpolateQueryExpr(value: any, variable: any) {
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// if no multi or include all do not regexEscape
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if (!variable.multi && !variable.includeAll) {
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return lokiRegularEscape(value);
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}
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if (typeof value === 'string') {
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return lokiSpecialRegexEscape(value);
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}
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const escapedValues = lodashMap(value, lokiSpecialRegexEscape);
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return escapedValues.join('|');
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}
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modifyQuery(query: LokiQuery, action: any): LokiQuery {
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let expression = query.expr ?? '';
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switch (action.type) {
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case 'ADD_FILTER': {
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expression = addLabelToQuery(expression, action.key, action.value, undefined, true);
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break;
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}
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case 'ADD_FILTER_OUT': {
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expression = addLabelToQuery(expression, action.key, action.value, '!=', true);
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break;
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}
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default:
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break;
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}
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return { ...query, expr: expression };
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}
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getHighlighterExpression(query: LokiQuery): string[] {
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return getHighlighterExpressionsFromQuery(query.expr);
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}
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getTime(date: string | DateTime, roundUp: boolean) {
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if (typeof date === 'string') {
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date = dateMath.parse(date, roundUp)!;
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}
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return Math.ceil(date.valueOf() * 1e6);
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}
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getLogRowContext = (row: LogRowModel, options?: RowContextOptions): Promise<{ data: DataFrame[] }> => {
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const target = this.prepareLogRowContextQueryTarget(
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row,
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(options && options.limit) || 10,
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(options && options.direction) || 'BACKWARD'
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);
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const reverse = options && options.direction === 'FORWARD';
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return this._request(RANGE_QUERY_ENDPOINT, target)
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.pipe(
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catchError((err: any) => {
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if (err.status === 404) {
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return of(err);
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}
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const error: DataQueryError = {
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message: 'Error during context query. Please check JS console logs.',
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status: err.status,
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statusText: err.statusText,
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};
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throw error;
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}),
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switchMap((res: { data: LokiStreamResponse; status: number }) =>
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of({
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data: res.data ? res.data.data.result.map((stream) => lokiStreamResultToDataFrame(stream, reverse)) : [],
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})
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)
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)
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.toPromise();
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};
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prepareLogRowContextQueryTarget = (row: LogRowModel, limit: number, direction: 'BACKWARD' | 'FORWARD') => {
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const query = Object.keys(row.labels)
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.map((label) => `${label}="${row.labels[label].replace(/\\/g, '\\\\')}"`) // escape backslashes in label as users can't escape them by themselves
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.join(',');
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const contextTimeBuffer = 2 * 60 * 60 * 1000; // 2h buffer
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const commonTargetOptions = {
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limit,
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query: `{${query}}`,
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expr: `{${query}}`,
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direction,
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};
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const fieldCache = new FieldCache(row.dataFrame);
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const nsField = fieldCache.getFieldByName('tsNs')!;
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const nsTimestamp = nsField.values.get(row.rowIndex);
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if (direction === 'BACKWARD') {
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return {
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...commonTargetOptions,
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// convert to ns, we loose some precision here but it is not that important at the far points of the context
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start: row.timeEpochMs - contextTimeBuffer + '000000',
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end: nsTimestamp,
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direction,
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};
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} else {
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return {
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...commonTargetOptions,
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// start param in Loki API is inclusive so we'll have to filter out the row that this request is based from
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// and any other that were logged in the same ns but before the row. Right now these rows will be lost
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// because the are before but came it he response that should return only rows after.
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start: nsTimestamp,
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// convert to ns, we loose some precision here but it is not that important at the far points of the context
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end: row.timeEpochMs + contextTimeBuffer + '000000',
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};
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}
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};
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testDatasource() {
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// Consider only last 10 minutes otherwise request takes too long
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const startMs = Date.now() - 10 * 60 * 1000;
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const start = `${startMs}000000`; // API expects nanoseconds
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return this._request(`${LOKI_ENDPOINT}/label`, { start })
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.pipe(
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map((res) => {
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const values: any[] = res?.data?.data || res?.data?.values || [];
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const testResult =
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values.length > 0
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? { status: 'success', message: 'Data source connected and labels found.' }
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: {
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status: 'error',
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message:
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'Data source connected, but no labels received. Verify that Loki and Promtail is configured properly.',
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};
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return testResult;
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}),
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catchError((err: any) => {
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let message = 'Loki: ';
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if (err.statusText) {
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message += err.statusText;
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} else {
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message += 'Cannot connect to Loki';
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}
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if (err.status) {
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message += `. ${err.status}`;
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}
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if (err.data && err.data.message) {
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message += `. ${err.data.message}`;
|
|
} else if (err.data) {
|
|
message += `. ${err.data}`;
|
|
}
|
|
return of({ status: 'error', message: message });
|
|
})
|
|
)
|
|
.toPromise();
|
|
}
|
|
|
|
async annotationQuery(options: any): Promise<AnnotationEvent[]> {
|
|
const { expr, maxLines, instant, tagKeys = '', titleFormat = '', textFormat = '' } = options.annotation;
|
|
|
|
if (!expr) {
|
|
return [];
|
|
}
|
|
|
|
const interpolatedExpr = this.templateSrv.replace(expr, {}, this.interpolateQueryExpr);
|
|
const query = { refId: `annotation-${options.annotation.name}`, expr: interpolatedExpr, maxLines, instant };
|
|
const { data } = instant
|
|
? await this.runInstantQuery(query, options as any).toPromise()
|
|
: await this.runRangeQuery(query, options as any).toPromise();
|
|
|
|
const annotations: AnnotationEvent[] = [];
|
|
const splitKeys: string[] = tagKeys.split(',').filter((v: string) => v !== '');
|
|
|
|
for (const frame of data) {
|
|
const labels: { [key: string]: string } = {};
|
|
for (const field of frame.fields) {
|
|
if (field.labels) {
|
|
for (const [key, value] of Object.entries(field.labels)) {
|
|
labels[key] = String(value).trim();
|
|
}
|
|
}
|
|
}
|
|
|
|
const tags: string[] = [
|
|
...new Set(
|
|
Object.entries(labels).reduce((acc: string[], [key, val]) => {
|
|
if (val === '') {
|
|
return acc;
|
|
}
|
|
if (splitKeys.length && !splitKeys.includes(key)) {
|
|
return acc;
|
|
}
|
|
acc.push.apply(acc, [val]);
|
|
return acc;
|
|
}, [])
|
|
),
|
|
];
|
|
|
|
const view = new DataFrameView<{ ts: string; line: string }>(frame);
|
|
|
|
view.forEach((row) => {
|
|
annotations.push({
|
|
time: new Date(row.ts).valueOf(),
|
|
title: renderTemplate(titleFormat, labels),
|
|
text: renderTemplate(textFormat, labels) || row.line,
|
|
tags,
|
|
});
|
|
});
|
|
}
|
|
|
|
return annotations;
|
|
}
|
|
|
|
showContextToggle(row?: LogRowModel): boolean {
|
|
return (row && row.searchWords && row.searchWords.length > 0) === true;
|
|
}
|
|
|
|
throwUnless(err: FetchError, condition: boolean, target: LokiQuery) {
|
|
if (condition) {
|
|
return of(err);
|
|
}
|
|
|
|
const error = this.processError(err, target);
|
|
throw error;
|
|
}
|
|
|
|
processError(err: FetchError, target: LokiQuery) {
|
|
let error = cloneDeep(err);
|
|
if (err.data.message.includes('escape') && target.expr.includes('\\')) {
|
|
error.data.message = `Error: ${err.data.message}. Make sure that all special characters are escaped with \\. For more information on escaping of special characters visit LogQL documentation at https://grafana.com/docs/loki/latest/logql/.`;
|
|
}
|
|
return error;
|
|
}
|
|
|
|
adjustInterval(interval: number, range: number) {
|
|
// Loki will drop queries that might return more than 11000 data points.
|
|
// Calibrate interval if it is too small.
|
|
if (interval !== 0 && range / interval > 11000) {
|
|
interval = Math.ceil(range / 11000);
|
|
}
|
|
// The min interval is set to 1ms
|
|
return Math.max(interval, 1);
|
|
}
|
|
}
|
|
|
|
export function renderTemplate(aliasPattern: string, aliasData: { [key: string]: string }) {
|
|
const aliasRegex = /\{\{\s*(.+?)\s*\}\}/g;
|
|
return aliasPattern.replace(aliasRegex, (_match, g1) => {
|
|
if (aliasData[g1]) {
|
|
return aliasData[g1];
|
|
}
|
|
return '';
|
|
});
|
|
}
|
|
|
|
export function lokiRegularEscape(value: any) {
|
|
if (typeof value === 'string') {
|
|
return value.replace(/'/g, "\\\\'");
|
|
}
|
|
return value;
|
|
}
|
|
|
|
export function lokiSpecialRegexEscape(value: any) {
|
|
if (typeof value === 'string') {
|
|
return lokiRegularEscape(value.replace(/\\/g, '\\\\\\\\').replace(/[$^*{}\[\]+?.()|]/g, '\\\\$&'));
|
|
}
|
|
return value;
|
|
}
|
|
|
|
/**
|
|
* Checks if the query expression uses function and so should return a time series instead of logs.
|
|
* Sometimes important to know that before we actually do the query.
|
|
*/
|
|
function isMetricsQuery(query: string): boolean {
|
|
const tokens = Prism.tokenize(query, syntax);
|
|
return tokens.some((t) => {
|
|
// Not sure in which cases it can be string maybe if nothing matched which means it should not be a function
|
|
return typeof t !== 'string' && t.type === 'function';
|
|
});
|
|
}
|
|
|
|
export default LokiDatasource;
|