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* Explore: updates grafana-data explore query field props with explore mode * Explore: updates query row to pass down explore mode to query fields * Explore: adds LokiExploreQueryEditor * Explore: updates loki query field form to render children * Explore: adds loki explore extra field component * Explore: adds extra field element to loki query field form * Explore: updates loki explore query editor to use extra field element * Explore: moves ExploreMode to grafana-data * Explore: updates query row limit string * Explore: adds maxLines to DataQuery * Explore: adds maxLines to loki datasource runRangeQueryWithFallback * Explore: adds onChangeQueryLimit to LokiExploreQueryEditor * Explore: updates loki explore query editor to render extra field only in logs mode * Explore: fixes query limits for live and legacy queries * Explore: fixes result processor max lines limit in get logs result * Explore: fixes Loki datasource limit test * Explore: removes unnecessary ExploreMode from Loki language provider * Explore: fixes formatting * Explore: updates grafana-data datasource types - replaces strings with explore mode enum * Explore: updates loki explore query field props to take ReactNode * Explore: updates the way we calculate loki query lines limit to fall back to 0 lines on negative or invalid input instead of datasource maxLines * Explore: updates result processor get logs result method to avoid counting invalid/negative line limits * Explore: updates loki result transformer to process only an appropriate slice of a result instead of an entire one * Explore: adds a method for query limit preprocessing/mapping * Explore: updates loki datasource run range query with fallback method to use options.maxDataPoints in dashboards * Explore: removes unnecessary maxlineslimt from getLogsResult in resultProcessor * Explore: moves line limit to metadata * Explore: adds an ability to specify input type of extra field * Explore: updates LokiExploreQueryEditor - adds an input type * Explore: updates LokiExploreQueryEditor to run queries when maxLines is positive * Explore: fixes failing import of ExploreMode * Explore: fixes reducers test imports formatting * Explore: updates Loki extra field with min value set to 0 * Explore: exports LokiExploreExtraFieldProps * Explore: adds render test of LokiExploreQueryEditor * Explore: adds LokiExploreQueryEditor snapshot * Explore: updates LokiExploreQueryEditor onChangeQueryLimit method to prevent it from running when query input is empty - fixes cheatsheet display issue * Explore: updates Loki editor snapshots * Explore: fixes typo in test set name in LokiExploreQueryEditor * Explore: adds a render test of LokiExploreExtraField * Explore: fixes typo in LokiExploreQueryEditor * Explore: updates LokiExploreQueryEditor snapshot due to timezone issues * Explore: updates LokiExploreExtraField to export both functional component and a version using memo * Explore: updates LokiExploreQueryEditor to export both functional component and memoized function * Explore: updates LokiExploreQueryEditor - removes unnecessary react fragment * Explore: updates LokiExploreQueryEditor snapshot * Explore: adds LokiExploreQueryEditor tests for different explore mode cases * Explore: fixes Loki datasource and result transformer * Explore: updates LokiExploreQueryEditor snapshot * Explore: updates LokiExploreQueryEditor tests and test setup * Explore: updates LokiExploreQueryEditor - refactors component * Explore: updates LokiExploreQueryEditor to use default import from LokiExploreExtraField * Explore: updates LokiExploreQueryEditor snapshot * Explore: fixes formatting * Explore: updates LokiExploreQueryEditor max lines change * Explore: updates LokiExploreQueryEditor tests checking ExtraFieldElement * Explore: adds mock loki datasource to LokiExploreQueryEditor * Explore: updates LokiExploreQueryEditor test mock - adds language provider * Explore: updates LokiExploreQueryEditor snapshot * Explore: updates Loki ResultTransformer to filter out rows on limit - logic to be moved into a component with new form styles * Explore: updates LokiExploreQueryEditor tests
726 lines
24 KiB
TypeScript
726 lines
24 KiB
TypeScript
// Libraries
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import { isEmpty, map as lodashMap } 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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// Services & Utils
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import { DataFrame, dateMath, FieldCache } from '@grafana/data';
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import { addLabelToSelector, keepSelectorFilters } from 'app/plugins/datasource/prometheus/add_label_to_query';
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import { DatasourceRequestOptions } from 'app/core/services/backend_srv';
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import { getBackendSrv } from '@grafana/runtime';
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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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lokiLegacyStreamsToDataframes,
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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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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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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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ExploreMode,
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ScopedVars,
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} from '@grafana/data';
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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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} from './types';
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import { LegacyTarget, LiveStreams } from './live_streams';
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import LanguageProvider from './language_provider';
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export type RangeQueryOptions = Pick<DataQueryRequest<LokiQuery>, 'range' | 'intervalMs' | 'maxDataPoints' | 'reverse'>;
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export const DEFAULT_MAX_LINES = 1000;
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export const LEGACY_LOKI_ENDPOINT = '/api/prom';
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export const LOKI_ENDPOINT = '/loki/api/v1';
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const LEGACY_QUERY_ENDPOINT = `${LEGACY_LOKI_ENDPOINT}/query`;
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const RANGE_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query_range`;
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const INSTANT_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query`;
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const DEFAULT_QUERY_PARAMS: Partial<LokiLegacyQueryRequest> = {
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direction: 'BACKWARD',
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limit: DEFAULT_MAX_LINES,
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regexp: '',
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query: '',
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};
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function serializeParams(data: Record<string, any>) {
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return Object.keys(data)
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.map(k => `${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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private version: string;
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languageProvider: LanguageProvider;
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maxLines: number;
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/** @ngInject */
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constructor(private instanceSettings: DataSourceInstanceSettings<LokiOptions>, private templateSrv: TemplateSrv) {
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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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return from(getBackendSrv().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, options.scopedVars, 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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}
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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: lokiLegacyStreamsToDataframes(
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response.data,
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query,
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this.maxLines,
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this.instanceSettings.jsonData,
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options.reverse
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),
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key: `${target.refId}_log`,
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}))
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);
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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: 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) {
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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 = Math.ceil(this.adjustInterval(options.intervalMs || 1000, 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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// target.maxLines value already preprocessed
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// available cases:
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// 1) empty input -> mapped to NaN, falls back to dataSource.maxLines limit
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// 2) input with at least 1 character and that is either incorrect (value in the input field is not a number) or negative
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// - mapped to 0, falls back to the limit of 0 lines
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// 3) default case - correct input, mapped to the value from the input field
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let linesLimit = 0;
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if (target.maxLines === undefined) {
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// no target.maxLines, using options.maxDataPoints
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linesLimit = Math.min(options.maxDataPoints || Infinity, this.maxLines);
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} else {
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// using target.maxLines
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if (isNaN(target.maxLines)) {
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linesLimit = this.maxLines;
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} else {
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linesLimit = target.maxLines;
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}
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}
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const queryOptions = { ...options, maxDataPoints: linesLimit };
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if (target.liveStreaming) {
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return this.runLiveQuery(target, queryOptions);
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}
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const query = this.createRangeQuery(target, queryOptions);
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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, queryOptions)),
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defer(() =>
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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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linesLimit,
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this.instanceSettings.jsonData,
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options.reverse
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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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createLegacyLiveTarget(target: LokiQuery, options: { maxDataPoints?: number }): LegacyTarget {
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const { query, regexp } = parseQuery(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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regexp,
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url: convertToWebSocketUrl(`${baseUrl}/api/prom/tail?${params}`),
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refId: target.refId,
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size: Math.min(options.maxDataPoints || Infinity, this.maxLines),
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};
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}
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createLiveTarget(target: LokiQuery, options: { maxDataPoints?: number }): LegacyTarget {
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const { query, regexp } = parseQuery(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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regexp,
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url: convertToWebSocketUrl(`${baseUrl}/loki/api/v1/tail?${params}`),
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refId: target.refId,
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size: Math.min(options.maxDataPoints || Infinity, this.maxLines),
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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, options: { maxDataPoints?: number }): Observable<DataQueryResponse> => {
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const liveTarget = this.createLiveTarget(target, options);
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return from(this.getVersion()).pipe(
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mergeMap(version =>
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iif(
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() => version === 'v1',
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defer(() => this.streams.getStream(liveTarget)),
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defer(() => {
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const legacyTarget = this.createLegacyLiveTarget(target, options);
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return this.streams.getLegacyStream(legacyTarget);
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})
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)
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),
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map(data => ({
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data,
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key: `loki-${liveTarget.refId}`,
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state: LoadingState.Streaming,
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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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async importQueries(queries: LokiQuery[], originMeta: PluginMeta): Promise<LokiQuery[]> {
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return this.languageProvider.importQueries(queries, originMeta.id);
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}
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async metadataRequest(url: string, params?: Record<string, string>) {
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const res = await this._request(url, params, { silent: true }).toPromise();
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return {
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data: { data: res.data.data || res.data.values || [] },
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};
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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*$/;
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const labelNames = query.match(labelNamesRegex);
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if (labelNames) {
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return await this.labelNamesQuery();
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}
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const labelValues = query.match(labelValuesRegex);
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if (labelValues) {
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return await this.labelValuesQuery(labelValues[2]);
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}
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return Promise.resolve([]);
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}
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async labelNamesQuery() {
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const url = (await this.getVersion()) === 'v0' ? `${LEGACY_LOKI_ENDPOINT}/label` : `${LOKI_ENDPOINT}/label`;
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const result = await this.metadataRequest(url);
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return result.data.data.map((value: string) => ({ text: value }));
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}
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async labelValuesQuery(label: string) {
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const url =
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(await this.getVersion()) === 'v0'
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? `${LEGACY_LOKI_ENDPOINT}/label/${label}/values`
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: `${LOKI_ENDPOINT}/label/${label}/values`;
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const result = await this.metadataRequest(url);
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return result.data.data.map((value: string) => ({ text: value }));
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}
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interpolateQueryExpr(value: any, variable: any) {
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// if no multi or include all do not regexEscape
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if (!variable.multi && !variable.includeAll) {
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return lokiRegularEscape(value);
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}
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if (typeof value === 'string') {
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return lokiSpecialRegexEscape(value);
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}
|
|
|
|
const escapedValues = lodashMap(value, lokiSpecialRegexEscape);
|
|
return escapedValues.join('|');
|
|
}
|
|
|
|
modifyQuery(query: LokiQuery, action: any): LokiQuery {
|
|
const parsed = parseQuery(query.expr || '');
|
|
let { query: selector } = parsed;
|
|
let selectorLabels, selectorFilters;
|
|
switch (action.type) {
|
|
case 'ADD_FILTER': {
|
|
selectorLabels = addLabelToSelector(selector, action.key, action.value);
|
|
selectorFilters = keepSelectorFilters(selector);
|
|
selector = `${selectorLabels} ${selectorFilters}`.trim();
|
|
break;
|
|
}
|
|
case 'ADD_FILTER_OUT': {
|
|
selectorLabels = addLabelToSelector(selector, action.key, action.value, '!=');
|
|
selectorFilters = keepSelectorFilters(selector);
|
|
selector = `${selectorLabels} ${selectorFilters}`.trim();
|
|
break;
|
|
}
|
|
default:
|
|
break;
|
|
}
|
|
|
|
const expression = formatQuery(selector, parsed.regexp);
|
|
return { ...query, expr: expression };
|
|
}
|
|
|
|
getHighlighterExpression(query: LokiQuery): string[] {
|
|
return getHighlighterExpressionsFromQuery(query.expr);
|
|
}
|
|
|
|
getTime(date: string | DateTime, roundUp: boolean) {
|
|
if (typeof date === 'string') {
|
|
date = dateMath.parse(date, roundUp);
|
|
}
|
|
|
|
return Math.ceil(date.valueOf() * 1e6);
|
|
}
|
|
|
|
getLogRowContext = (row: LogRowModel, options?: LokiContextQueryOptions): Promise<{ data: DataFrame[] }> => {
|
|
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,
|
|
defer(() =>
|
|
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)) : [],
|
|
}))
|
|
)
|
|
),
|
|
defer(() =>
|
|
of({
|
|
data: res.data ? res.data.data.result.map(stream => lokiStreamResultToDataFrame(stream, reverse)) : [],
|
|
})
|
|
)
|
|
)
|
|
)
|
|
)
|
|
.toPromise();
|
|
};
|
|
|
|
prepareLogRowContextQueryTarget = (row: LogRowModel, limit: number, direction: 'BACKWARD' | 'FORWARD') => {
|
|
const query = Object.keys(row.labels)
|
|
.map(label => `${label}="${row.labels[label]}"`)
|
|
.join(',');
|
|
|
|
const contextTimeBuffer = 2 * 60 * 60 * 1000; // 2h buffer
|
|
const commonTargetOptions = {
|
|
limit,
|
|
query: `{${query}}`,
|
|
expr: `{${query}}`,
|
|
direction,
|
|
};
|
|
|
|
const fieldCache = new FieldCache(row.dataFrame);
|
|
const nsField = fieldCache.getFieldByName('tsNs')!;
|
|
const nsTimestamp = nsField.values.get(row.rowIndex);
|
|
|
|
if (direction === 'BACKWARD') {
|
|
return {
|
|
...commonTargetOptions,
|
|
// convert to ns, we loose some precision here but it is not that important at the far points of the context
|
|
start: row.timeEpochMs - contextTimeBuffer + '000000',
|
|
end: nsTimestamp,
|
|
direction,
|
|
};
|
|
} else {
|
|
return {
|
|
...commonTargetOptions,
|
|
// start param in Loki API is inclusive so we'll have to filter out the row that this request is based from
|
|
// and any other that were logged in the same ns but before the row. Right now these rows will be lost
|
|
// because the are before but came it he response that should return only rows after.
|
|
start: nsTimestamp,
|
|
// convert to ns, we loose some precision here but it is not that important at the far points of the context
|
|
end: row.timeEpochMs + contextTimeBuffer + '000000',
|
|
};
|
|
}
|
|
};
|
|
|
|
testDatasource() {
|
|
// Consider only last 10 minutes otherwise request takes too long
|
|
const startMs = Date.now() - 10 * 60 * 1000;
|
|
const start = `${startMs}000000`; // API expects nanoseconds
|
|
return this._request('/loki/api/v1/label', { start })
|
|
.pipe(
|
|
catchError((err: any) => {
|
|
if (err.status === 404) {
|
|
return of(err);
|
|
}
|
|
|
|
throw err;
|
|
}),
|
|
switchMap((response: { data: { values: string[] }; status: number }) =>
|
|
iif<DataQueryResponse, any>(
|
|
() => response.status === 404,
|
|
defer(() => this._request('/api/prom/label', { start })),
|
|
defer(() => of(response))
|
|
)
|
|
),
|
|
map(res => {
|
|
const values: any[] = res?.data?.data || res?.data?.values || [];
|
|
const testResult =
|
|
values.length > 0
|
|
? { 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.',
|
|
};
|
|
return testResult;
|
|
}),
|
|
catchError((err: any) => {
|
|
let message = 'Loki: ';
|
|
if (err.statusText) {
|
|
message += err.statusText;
|
|
} else {
|
|
message += 'Cannot connect to Loki';
|
|
}
|
|
|
|
if (err.status) {
|
|
message += `. ${err.status}`;
|
|
}
|
|
|
|
if (err.data && err.data.message) {
|
|
message += `. ${err.data.message}`;
|
|
} else if (err.data) {
|
|
message += `. ${err.data}`;
|
|
}
|
|
return of({ status: 'error', message: message });
|
|
})
|
|
)
|
|
.toPromise();
|
|
}
|
|
|
|
async annotationQuery(options: AnnotationQueryRequest<LokiQuery>): Promise<AnnotationEvent[]> {
|
|
if (!options.annotation.expr) {
|
|
return [];
|
|
}
|
|
|
|
const interpolatedExpr = this.templateSrv.replace(options.annotation.expr, {}, this.interpolateQueryExpr);
|
|
const query = { refId: `annotation-${options.annotation.name}`, expr: interpolatedExpr };
|
|
const { data } = await this.runRangeQueryWithFallback(query, options).toPromise();
|
|
const annotations: AnnotationEvent[] = [];
|
|
|
|
for (const frame of data) {
|
|
const tags: string[] = [];
|
|
for (const field of frame.fields) {
|
|
if (field.labels) {
|
|
tags.push.apply(tags, Object.values(field.labels));
|
|
}
|
|
}
|
|
const view = new DataFrameView<{ ts: string; line: string }>(frame);
|
|
|
|
view.forEachRow(row => {
|
|
annotations.push({
|
|
time: new Date(row.ts).valueOf(),
|
|
text: row.line,
|
|
tags,
|
|
});
|
|
});
|
|
}
|
|
|
|
return annotations;
|
|
}
|
|
|
|
throwUnless = (err: any, condition: boolean, target: LokiQuery) => {
|
|
if (condition) {
|
|
return of(err);
|
|
}
|
|
|
|
const error: DataQueryError = this.processError(err, target);
|
|
throw error;
|
|
};
|
|
|
|
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);
|
|
}
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
export default LokiDatasource;
|
|
|
|
function isTimeSeries(data: any): data is TimeSeries {
|
|
return data.hasOwnProperty('datapoints');
|
|
}
|