// Libraries import { cloneDeep, isEmpty, map as lodashMap } from 'lodash'; import Prism from 'prismjs'; import { lastValueFrom, merge, Observable, of, throwError } from 'rxjs'; import { catchError, map, switchMap } from 'rxjs/operators'; // Types import { AnnotationEvent, AnnotationQueryRequest, CoreApp, DataFrame, DataFrameView, DataQueryError, DataQueryRequest, DataQueryResponse, DataSourceInstanceSettings, DataSourceWithLogsContextSupport, DataSourceWithLogsVolumeSupport, DataSourceWithQueryExportSupport, DataSourceWithQueryImportSupport, dateMath, DateTime, FieldCache, AbstractQuery, FieldType, getLogLevelFromKey, Labels, LoadingState, LogLevel, LogRowModel, QueryResultMeta, ScopedVars, TimeRange, rangeUtil, toUtc, } from '@grafana/data'; import { BackendSrvRequest, FetchError, getBackendSrv, config, DataSourceWithBackend } from '@grafana/runtime'; import { RowContextOptions } from '@grafana/ui/src/components/Logs/LogRowContextProvider'; import { queryLogsVolume } from 'app/core/logs_model'; import { convertToWebSocketUrl } from 'app/core/utils/explore'; import { getTimeSrv, TimeSrv } from 'app/features/dashboard/services/TimeSrv'; import { getTemplateSrv, TemplateSrv } from 'app/features/templating/template_srv'; import { serializeParams } from '../../../core/utils/fetch'; import { renderLegendFormat } from '../prometheus/legend'; import { addLabelToQuery } from './add_label_to_query'; import { transformBackendResult } from './backendResultTransformer'; import { DEFAULT_RESOLUTION } from './components/LokiOptionFields'; import LanguageProvider from './language_provider'; import { escapeLabelValueInSelector } from './language_utils'; import { LiveStreams, LokiLiveTarget } from './live_streams'; import { addParsedLabelToQuery, getNormalizedLokiQuery, queryHasPipeParser } from './query_utils'; import { lokiResultsToTableModel, lokiStreamsToDataFrames, processRangeQueryResponse } from './result_transformer'; import { sortDataFrameByTime } from './sortDataFrame'; import { doLokiChannelStream } from './streaming'; import syntax from './syntax'; import { LokiOptions, LokiQuery, LokiQueryDirection, LokiQueryType, LokiRangeQueryRequest, LokiResultType, LokiStreamResponse, } from './types'; export type RangeQueryOptions = DataQueryRequest | AnnotationQueryRequest; export const DEFAULT_MAX_LINES = 1000; export const LOKI_ENDPOINT = '/loki/api/v1'; const NS_IN_MS = 1000000; const RANGE_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query_range`; const INSTANT_QUERY_ENDPOINT = `${LOKI_ENDPOINT}/query`; const DEFAULT_QUERY_PARAMS: Partial = { limit: DEFAULT_MAX_LINES, query: '', }; function makeRequest(query: LokiQuery, range: TimeRange, app: CoreApp, requestId: string): DataQueryRequest { const intervalInfo = rangeUtil.calculateInterval(range, 1); return { targets: [query], requestId, interval: intervalInfo.interval, intervalMs: intervalInfo.intervalMs, range: range, scopedVars: {}, timezone: 'UTC', app, startTime: Date.now(), }; } export class LokiDatasource extends DataSourceWithBackend implements DataSourceWithLogsContextSupport, DataSourceWithLogsVolumeSupport, DataSourceWithQueryImportSupport, DataSourceWithQueryExportSupport { private streams = new LiveStreams(); languageProvider: LanguageProvider; maxLines: number; useBackendMode: boolean; constructor( private instanceSettings: DataSourceInstanceSettings, private readonly templateSrv: TemplateSrv = getTemplateSrv(), private readonly timeSrv: TimeSrv = getTimeSrv() ) { super(instanceSettings); this.languageProvider = new LanguageProvider(this); const settingsData = instanceSettings.jsonData || {}; this.maxLines = parseInt(settingsData.maxLines ?? '0', 10) || DEFAULT_MAX_LINES; const keepCookiesUsed = (settingsData.keepCookies ?? []).length > 0; // only use backend-mode when keep-cookies is not used this.useBackendMode = !keepCookiesUsed && (config.featureToggles.lokiBackendMode ?? false); } _request(apiUrl: string, data?: any, options?: Partial): Observable> { const baseUrl = this.instanceSettings.url; const params = data ? serializeParams(data) : ''; const url = `${baseUrl}${apiUrl}${params.length ? `?${params}` : ''}`; if (this.instanceSettings.withCredentials || this.instanceSettings.basicAuth) { options = { ...options, withCredentials: true }; if (this.instanceSettings.basicAuth) { options.headers = { ...options.headers, Authorization: this.instanceSettings.basicAuth }; } } const req = { ...options, url, }; return getBackendSrv().fetch>(req); } getLogsVolumeDataProvider(request: DataQueryRequest): Observable | undefined { const isQuerySuitable = (query: LokiQuery) => { const normalized = getNormalizedLokiQuery(query); const { expr } = normalized; // it has to be a logs-producing range-query return expr && !isMetricsQuery(expr) && normalized.queryType === LokiQueryType.Range; }; const isLogsVolumeAvailable = request.targets.some(isQuerySuitable); if (!isLogsVolumeAvailable) { return undefined; } const logsVolumeRequest = cloneDeep(request); logsVolumeRequest.targets = logsVolumeRequest.targets.filter(isQuerySuitable).map((target) => { return { ...target, instant: false, volumeQuery: true, expr: `sum by (level) (count_over_time(${target.expr}[$__interval]))`, }; }); return queryLogsVolume(this, logsVolumeRequest, { extractLevel, range: request.range, targets: request.targets, }); } query(request: DataQueryRequest): Observable { const subQueries: Array> = []; const scopedVars = { ...request.scopedVars, ...this.getRangeScopedVars(request.range), }; if (this.useBackendMode) { const queries = request.targets .map(getNormalizedLokiQuery) // "fix" the `.queryType` prop .map((q) => ({ ...q, maxLines: q.maxLines || this.maxLines })); // set maxLines if not set const fixedRequest = { ...request, targets: queries, }; const streamQueries = fixedRequest.targets.filter((q) => q.queryType === LokiQueryType.Stream); if (config.featureToggles.lokiLive && streamQueries.length > 0 && fixedRequest.rangeRaw?.to === 'now') { // this is still an in-development feature, // we do not support mixing stream-queries with normal-queries for now. const streamRequest = { ...fixedRequest, targets: streamQueries, }; return merge(...streamQueries.map((q) => doLokiChannelStream(q, this, streamRequest))); } if (fixedRequest.liveStreaming) { return this.runLiveQueryThroughBackend(fixedRequest); } else { return super .query(fixedRequest) .pipe( map((response) => transformBackendResult(response, fixedRequest.targets, this.instanceSettings.jsonData.derivedFields ?? []) ) ); } } const filteredTargets = request.targets .filter((target) => target.expr && !target.hide) .map((target) => { const expr = this.addAdHocFilters(target.expr); return { ...target, expr: this.templateSrv.replace(expr, scopedVars, this.interpolateQueryExpr), }; }); for (const target of filteredTargets) { if (target.instant || target.queryType === LokiQueryType.Instant) { subQueries.push(this.runInstantQuery(target, request, filteredTargets.length)); } else if ( config.featureToggles.lokiLive && target.queryType === LokiQueryType.Stream && request.rangeRaw?.to === 'now' ) { subQueries.push(doLokiChannelStream(target, this, request)); } else { subQueries.push(this.runRangeQuery(target, request)); } } // No valid targets, return the empty result to save a round trip. if (isEmpty(subQueries)) { return of({ data: [], state: LoadingState.Done, }); } return merge(...subQueries); } runLiveQueryThroughBackend(request: DataQueryRequest): Observable { // this only works in explore-mode, so variables don't need to be handled, // and only for logs-queries, not metric queries const logsQueries = request.targets.filter((query) => query.expr !== '' && !isMetricsQuery(query.expr)); if (logsQueries.length === 0) { return of({ data: [], state: LoadingState.Done, }); } const subQueries = logsQueries.map((query) => { const maxDataPoints = query.maxLines || this.maxLines; // FIXME: currently we are running it through the frontend still. return this.runLiveQuery(query, maxDataPoints); }); return merge(...subQueries); } runInstantQuery = ( target: LokiQuery, options: DataQueryRequest, responseListLength = 1 ): Observable => { const timeNs = this.getTime(options.range.to, true); const queryLimit = isMetricsQuery(target.expr) ? options.maxDataPoints : target.maxLines; const query = { query: target.expr, time: `${timeNs + (1e9 - (timeNs % 1e9))}`, limit: Math.min(queryLimit || Infinity, this.maxLines), direction: target.direction === LokiQueryDirection.Forward ? 'FORWARD' : 'BACKWARD', }; /** Used only for results of metrics instant queries */ const meta: QueryResultMeta = { preferredVisualisationType: 'table', }; return this._request(INSTANT_QUERY_ENDPOINT, query).pipe( map((response) => { if (response.data.data.resultType === LokiResultType.Stream) { return { data: response.data ? lokiStreamsToDataFrames( response.data as LokiStreamResponse, target, query.limit, this.instanceSettings.jsonData ) : [], key: `${target.refId}_instant`, }; } return { data: [lokiResultsToTableModel(response.data.data.result, responseListLength, target.refId, meta)], key: `${target.refId}_instant`, }; }), catchError((err) => throwError(() => this.processError(err, target))) ); }; createRangeQuery(target: LokiQuery, options: RangeQueryOptions, limit: number): LokiRangeQueryRequest { const query = target.expr; let range: { start?: number; end?: number; step?: number } = {}; if (options.range) { const startNs = this.getTime(options.range.from, false); const endNs = this.getTime(options.range.to, true); const rangeMs = Math.ceil((endNs - startNs) / 1e6); const resolution = target.resolution || (DEFAULT_RESOLUTION.value as number); const adjustedInterval = this.adjustInterval((options as DataQueryRequest).intervalMs || 1000, resolution, rangeMs) / 1000; // We want to ceil to 3 decimal places const step = Math.ceil(adjustedInterval * 1000) / 1000; range = { start: startNs, end: endNs, step, }; } return { ...DEFAULT_QUERY_PARAMS, ...range, query, limit, direction: target.direction === LokiQueryDirection.Forward ? 'FORWARD' : 'BACKWARD', }; } /** * Attempts to send a query to /loki/api/v1/query_range */ runRangeQuery = (target: LokiQuery, options: RangeQueryOptions): Observable => { // For metric query we use maxDataPoints from the request options which should be something like width of the // visualisation in pixels. In case of logs request we either use lines limit defined in the query target or // global limit defined for the data source which ever is lower. let maxDataPoints = isMetricsQuery(target.expr) ? // We fallback to maxLines here because maxDataPoints is defined as possibly undefined. Not sure that can // actually happen both Dashboards and Explore should send some value here. If not maxLines does not make that // much sense but nor any other arbitrary value. (options as DataQueryRequest).maxDataPoints || this.maxLines : // If user wants maxLines 0 we still fallback to data source limit. I think that makes sense as why would anyone // want to do a query and not see any results? target.maxLines || this.maxLines; if ((options as DataQueryRequest).liveStreaming) { return this.runLiveQuery(target, maxDataPoints); } const query = this.createRangeQuery(target, options, maxDataPoints); const headers = target.volumeQuery ? { 'X-Query-Tags': 'Source=logvolhist' } : undefined; return this._request(RANGE_QUERY_ENDPOINT, query, { headers }).pipe( catchError((err) => throwError(() => this.processError(err, target))), switchMap((response) => processRangeQueryResponse( response.data, target, query, maxDataPoints, this.instanceSettings.jsonData, (options as DataQueryRequest).scopedVars ) ) ); }; createLiveTarget(target: LokiQuery, maxDataPoints: number): LokiLiveTarget { const query = target.expr; const baseUrl = this.instanceSettings.url; const params = serializeParams({ query }); return { query, url: convertToWebSocketUrl(`${baseUrl}/loki/api/v1/tail?${params}`), refId: target.refId, size: maxDataPoints, }; } /** * Runs live queries which in this case means creating a websocket and listening on it for new logs. * This returns a bit different dataFrame than runQueries as it returns single dataframe even if there are multiple * Loki streams, sets only common labels on dataframe.labels and has additional dataframe.fields.labels for unique * labels per row. */ runLiveQuery = (target: LokiQuery, maxDataPoints: number): Observable => { const liveTarget = this.createLiveTarget(target, maxDataPoints); return this.streams.getStream(liveTarget).pipe( map((data) => ({ data: data || [], key: `loki-${liveTarget.refId}`, state: LoadingState.Streaming, })), catchError((err: any) => { return throwError(() => `Live tailing was stopped due to following error: ${err.reason}`); }) ); }; getRangeScopedVars(range: TimeRange = this.timeSrv.timeRange()) { const msRange = range.to.diff(range.from); const sRange = Math.round(msRange / 1000); return { __range_ms: { text: msRange, value: msRange }, __range_s: { text: sRange, value: sRange }, __range: { text: sRange + 's', value: sRange + 's' }, }; } interpolateVariablesInQueries(queries: LokiQuery[], scopedVars: ScopedVars): LokiQuery[] { let expandedQueries = queries; if (queries && queries.length) { expandedQueries = queries.map((query) => ({ ...query, datasource: this.getRef(), expr: this.templateSrv.replace(query.expr, scopedVars, this.interpolateQueryExpr), })); } return expandedQueries; } getQueryDisplayText(query: LokiQuery) { return query.expr; } getTimeRangeParams() { const timeRange = this.timeSrv.timeRange(); return { start: timeRange.from.valueOf() * NS_IN_MS, end: timeRange.to.valueOf() * NS_IN_MS }; } async importFromAbstractQueries(abstractQueries: AbstractQuery[]): Promise { await this.languageProvider.start(); const existingKeys = this.languageProvider.labelKeys; if (existingKeys && existingKeys.length) { abstractQueries = abstractQueries.map((abstractQuery) => { abstractQuery.labelMatchers = abstractQuery.labelMatchers.filter((labelMatcher) => { return existingKeys.includes(labelMatcher.name); }); return abstractQuery; }); } return abstractQueries.map((abstractQuery) => this.languageProvider.importFromAbstractQuery(abstractQuery)); } async exportToAbstractQueries(queries: LokiQuery[]): Promise { return queries.map((query) => this.languageProvider.exportToAbstractQuery(query)); } async metadataRequest(url: string, params?: Record) { // url must not start with a `/`, otherwise the AJAX-request // going from the browser will contain `//`, which can cause problems. if (url.startsWith('/')) { throw new Error(`invalid metadata request url: ${url}`); } if (this.useBackendMode) { const res = await this.getResource(url, params); return res.data || []; } else { const lokiURL = `${LOKI_ENDPOINT}/${url}`; const res = await lastValueFrom(this._request(lokiURL, params, { hideFromInspector: true })); return res.data.data || []; } } async metricFindQuery(query: string) { if (!query) { return Promise.resolve([]); } const interpolated = this.templateSrv.replace(query, {}, this.interpolateQueryExpr); return await this.processMetricFindQuery(interpolated); } async processMetricFindQuery(query: string) { const labelNamesRegex = /^label_names\(\)\s*$/; const labelValuesRegex = /^label_values\((?:(.+),\s*)?([a-zA-Z_][a-zA-Z0-9_]*)\)\s*$/; const labelNames = query.match(labelNamesRegex); if (labelNames) { return await this.labelNamesQuery(); } const labelValues = query.match(labelValuesRegex); if (labelValues) { // If we have query expr, use /series endpoint if (labelValues[1]) { return await this.labelValuesSeriesQuery(labelValues[1], labelValues[2]); } return await this.labelValuesQuery(labelValues[2]); } return Promise.resolve([]); } async labelNamesQuery() { const url = 'labels'; const params = this.getTimeRangeParams(); const result = await this.metadataRequest(url, params); return result.map((value: string) => ({ text: value })); } async labelValuesQuery(label: string) { const params = this.getTimeRangeParams(); const url = `label/${label}/values`; const result = await this.metadataRequest(url, params); return result.map((value: string) => ({ text: value })); } async labelValuesSeriesQuery(expr: string, label: string) { const timeParams = this.getTimeRangeParams(); const params = { ...timeParams, 'match[]': expr, }; const url = 'series'; const streams = new Set(); const result = await this.metadataRequest(url, params); result.forEach((stream: { [key: string]: string }) => { if (stream[label]) { streams.add({ text: stream[label] }); } }); return Array.from(streams); } // By implementing getTagKeys and getTagValues we add ad-hoc filtters functionality async getTagKeys() { return await this.labelNamesQuery(); } async getTagValues(options: any = {}) { return await this.labelValuesQuery(options.key); } 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('|'); } modifyQuery(query: LokiQuery, action: any): LokiQuery { let expression = query.expr ?? ''; switch (action.type) { case 'ADD_FILTER': { expression = this.addLabelToQuery(expression, action.key, action.value, '='); break; } case 'ADD_FILTER_OUT': { expression = this.addLabelToQuery(expression, action.key, action.value, '!='); break; } default: break; } return { ...query, expr: expression }; } 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?: RowContextOptions): Promise<{ data: DataFrame[] }> => { const direction = (options && options.direction) || 'BACKWARD'; const limit = (options && options.limit) || 10; const { query, range } = this.prepareLogRowContextQueryTarget(row, limit, direction); const processDataFrame = (frame: DataFrame): DataFrame => { // log-row-context requires specific field-names to work, so we set them here: "ts", "line", "id" const cache = new FieldCache(frame); const timestampField = cache.getFirstFieldOfType(FieldType.time); const lineField = cache.getFirstFieldOfType(FieldType.string); const idField = cache.getFieldByName('id'); if (timestampField === undefined || lineField === undefined || idField === undefined) { // this should never really happen, but i want to keep typescript happy return { ...frame, fields: [] }; } return { ...frame, fields: [ { ...timestampField, name: 'ts', }, { ...lineField, name: 'line', }, { ...idField, name: 'id', }, ], }; }; const processResults = (result: DataQueryResponse): DataQueryResponse => { const frames: DataFrame[] = result.data; const processedFrames = frames .map((frame) => sortDataFrameByTime(frame, 'DESCENDING')) .map((frame) => processDataFrame(frame)); // rename fields if needed return { ...result, data: processedFrames, }; }; // this can only be called from explore currently const app = CoreApp.Explore; return lastValueFrom( this.query(makeRequest(query, range, app, `log-row-context-query-${direction}`)).pipe( catchError((err) => { const error: DataQueryError = { message: 'Error during context query. Please check JS console logs.', status: err.status, statusText: err.statusText, }; throw error; }), switchMap((res) => of(processResults(res))) ) ); }; prepareLogRowContextQueryTarget = ( row: LogRowModel, limit: number, direction: 'BACKWARD' | 'FORWARD' ): { query: LokiQuery; range: TimeRange } => { const labels = this.languageProvider.getLabelKeys(); const expr = Object.keys(row.labels) .map((label: string) => { if (labels.includes(label)) { // escape backslashes in label as users can't escape them by themselves return `${label}="${row.labels[label].replace(/\\/g, '\\\\')}"`; } return ''; }) // Filter empty strings .filter((label) => !!label) .join(','); const contextTimeBuffer = 2 * 60 * 60 * 1000; // 2h buffer const queryDirection = direction === 'FORWARD' ? LokiQueryDirection.Forward : LokiQueryDirection.Backward; const query: LokiQuery = { expr: `{${expr}}`, queryType: LokiQueryType.Range, refId: '', maxLines: limit, direction: queryDirection, }; const fieldCache = new FieldCache(row.dataFrame); const tsField = fieldCache.getFirstFieldOfType(FieldType.time); if (tsField === undefined) { throw new Error('loki: dataframe missing time-field, should never happen'); } const tsValue = tsField.values.get(row.rowIndex); const timestamp = toUtc(tsValue); const range = queryDirection === LokiQueryDirection.Forward ? { // 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. from: timestamp, // convert to ns, we loose some precision here but it is not that important at the far points of the context to: toUtc(row.timeEpochMs + contextTimeBuffer), } : { // convert to ns, we loose some precision here but it is not that important at the far points of the context from: toUtc(row.timeEpochMs - contextTimeBuffer), to: timestamp, }; return { query, range: { from: range.from, to: range.to, raw: range, }, }; }; testDatasource(): Promise<{ status: string; message: string }> { // Consider only last 10 minutes otherwise request takes too long const nowMs = Date.now(); const params = { start: (nowMs - 10 * 60 * 1000) * NS_IN_MS, end: nowMs * NS_IN_MS, }; return this.metadataRequest('labels', params).then( (values) => { return 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.', }; }, (err) => { // we did a resource-call that failed. // the only info we have, if exists, is err.data.message // (when in development-mode, err.data.error exists too, but not in production-mode) // things like err.status & err.statusText does not help, // because those will only describe how the request between browser<>server failed const info: string = err?.data?.message ?? ''; const infoInParentheses = info !== '' ? ` (${info})` : ''; const message = `Unable to fetch labels from Loki${infoInParentheses}, please check the server logs for more details`; return { status: 'error', message: message }; } ); } async annotationQuery(options: any): Promise { const { expr, maxLines, instant, tagKeys = '', titleFormat = '', textFormat = '' } = options.annotation; if (!expr) { return []; } const id = `annotation-${options.annotation.name}`; const query: LokiQuery = { refId: id, expr, maxLines, instant, queryType: instant ? LokiQueryType.Instant : LokiQueryType.Range, }; const request = makeRequest(query, options.range, CoreApp.Dashboard, id); const { data } = await lastValueFrom(this.query(request)); const annotations: AnnotationEvent[] = []; const splitKeys: string[] = tagKeys.split(',').filter((v: string) => v !== ''); for (const frame of data) { const view = new DataFrameView<{ Time: string; Line: string; labels: Labels }>(frame); view.forEach((row) => { const { labels } = row; const maybeDuplicatedTags = Object.entries(labels) .map(([key, val]) => [key, val.trim()]) // trim all label-values .filter(([key, val]) => { if (val === '') { // remove empty return false; } // if tags are specified, remove label if does not match tags if (splitKeys.length && !splitKeys.includes(key)) { return false; } return true; }) .map(([key, val]) => val); // keep only the label-value // remove duplicates const tags = Array.from(new Set(maybeDuplicatedTags)); annotations.push({ time: new Date(row.Time).valueOf(), title: renderLegendFormat(titleFormat, labels), text: renderLegendFormat(textFormat, labels) || row.Line, tags, }); }); } return annotations; } showContextToggle(row?: LogRowModel): boolean { return (row && row.searchWords && row.searchWords.length > 0) === true; } processError(err: FetchError, target: LokiQuery) { let error: DataQueryError = cloneDeep(err); error.refId = target.refId; if (error.data && 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(dynamicInterval: number, resolution: number, range: number) { // Loki will drop queries that might return more than 11000 data points. // Calibrate interval if it is too small. let safeInterval = range / 11000; if (safeInterval > 1) { safeInterval = Math.ceil(safeInterval); } let adjustedInterval = Math.max(resolution * dynamicInterval, safeInterval); return adjustedInterval; } addAdHocFilters(queryExpr: string) { const adhocFilters = this.templateSrv.getAdhocFilters(this.name); let expr = queryExpr; expr = adhocFilters.reduce((acc: string, filter: { key?: any; operator?: any; value?: any }) => { const { key, operator } = filter; let { value } = filter; return this.addLabelToQuery(acc, key, value, operator, true); }, expr); return expr; } addLabelToQuery( queryExpr: string, key: string, value: string | number, operator: string, // Override to make sure that we use label as actual label and not parsed label notParsedLabelOverride?: boolean ) { let escapedValue = escapeLabelValueInSelector(value.toString(), operator); if (queryHasPipeParser(queryExpr) && !isMetricsQuery(queryExpr) && !notParsedLabelOverride) { // If query has parser, we treat all labels as parsed and use | key="value" syntax return addParsedLabelToQuery(queryExpr, key, escapedValue, operator); } else { return addLabelToQuery(queryExpr, key, escapedValue, operator, true); } } // Used when running queries through backend filterQuery(query: LokiQuery): boolean { if (query.hide || query.expr === '') { return false; } return true; } // Used when running queries through backend applyTemplateVariables(target: LokiQuery, scopedVars: ScopedVars): LokiQuery { // We want to interpolate these variables on backend const { __interval, __interval_ms, ...rest } = scopedVars; const exprWithAdHoc = this.addAdHocFilters(target.expr); return { ...target, legendFormat: this.templateSrv.replace(target.legendFormat, rest), expr: this.templateSrv.replace(exprWithAdHoc, rest, this.interpolateQueryExpr), }; } interpolateString(string: string) { return this.templateSrv.replace(string, undefined, this.interpolateQueryExpr); } getVariables(): string[] { return this.templateSrv.getVariables().map((v) => `$${v.name}`); } } 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. */ export function isMetricsQuery(query: string): boolean { if (!query) { return false; } 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'; }); } function extractLevel(dataFrame: DataFrame): LogLevel { let valueField; try { valueField = new FieldCache(dataFrame).getFirstFieldOfType(FieldType.number); } catch {} return valueField?.labels ? getLogLevelFromLabels(valueField.labels) : LogLevel.unknown; } function getLogLevelFromLabels(labels: Labels): LogLevel { const labelNames = ['level', 'lvl', 'loglevel']; let levelLabel; for (let labelName of labelNames) { if (labelName in labels) { levelLabel = labelName; break; } } return levelLabel ? getLogLevelFromKey(labels[levelLabel]) : LogLevel.unknown; }