mirror of
https://github.com/grafana/grafana.git
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* move files * fixed imports in the moved files * updated imports pointing to the moved files
935 lines
31 KiB
TypeScript
935 lines
31 KiB
TypeScript
import { cloneDeep, map as lodashMap } from 'lodash';
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import { lastValueFrom, merge, Observable, of, throwError } from 'rxjs';
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import { catchError, map, switchMap, tap } from 'rxjs/operators';
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import {
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AbstractQuery,
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AnnotationEvent,
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AnnotationQueryRequest,
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CoreApp,
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DataFrame,
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DataFrameView,
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DataQueryError,
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DataQueryRequest,
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DataQueryResponse,
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DataSourceInstanceSettings,
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DataSourceWithLogsContextSupport,
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DataSourceWithSupplementaryQueriesSupport,
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SupplementaryQueryType,
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DataSourceWithQueryExportSupport,
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DataSourceWithQueryImportSupport,
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dateMath,
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DateTime,
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FieldCache,
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FieldType,
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Labels,
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LoadingState,
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LogLevel,
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LogRowModel,
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QueryFixAction,
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QueryHint,
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rangeUtil,
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ScopedVars,
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SupplementaryQueryOptions,
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TimeRange,
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LogRowContextOptions,
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} from '@grafana/data';
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import { BackendSrvRequest, config, DataSourceWithBackend, FetchError } from '@grafana/runtime';
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import { DataQuery } from '@grafana/schema';
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import { convertToWebSocketUrl } from 'app/core/utils/explore';
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import { getTimeSrv, TimeSrv } from 'app/features/dashboard/services/TimeSrv';
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import { getTemplateSrv, TemplateSrv } from 'app/features/templating/template_srv';
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import { serializeParams } from '../../../core/utils/fetch';
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import { queryLogsSample, queryLogsVolume } from '../../../features/logs/logsModel';
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import { getLogLevelFromKey } from '../../../features/logs/utils';
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import { renderLegendFormat } from '../prometheus/legend';
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import { replaceVariables, returnVariables } from '../prometheus/querybuilder/shared/parsingUtils';
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import LanguageProvider from './LanguageProvider';
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import { LiveStreams, LokiLiveTarget } from './LiveStreams';
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import { LogContextProvider } from './LogContextProvider';
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import { transformBackendResult } from './backendResultTransformer';
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import { LokiAnnotationsQueryEditor } from './components/AnnotationsQueryEditor';
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import { placeHolderScopedVars } from './components/monaco-query-field/monaco-completion-provider/validation';
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import { escapeLabelValueInSelector, isRegexSelector } from './languageUtils';
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import { labelNamesRegex, labelValuesRegex } from './migrations/variableQueryMigrations';
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import {
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addLabelFormatToQuery,
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addLabelToQuery,
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addNoPipelineErrorToQuery,
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addParserToQuery,
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removeCommentsFromQuery,
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addFilterAsLabelFilter,
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getParserPositions,
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toLabelFilter,
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addLineFilter,
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findLastPosition,
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getLabelFilterPositions,
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queryHasFilter,
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removeLabelFromQuery,
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} from './modifyQuery';
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import { getQueryHints } from './queryHints';
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import { runSplitQuery } from './querySplitting';
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import {
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getLogQueryFromMetricsQuery,
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getLokiQueryFromDataQuery,
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getNormalizedLokiQuery,
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getStreamSelectorsFromQuery,
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isLogsQuery,
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isQueryWithError,
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requestSupportsSplitting,
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} from './queryUtils';
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import { doLokiChannelStream } from './streaming';
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import { trackQuery } from './tracking';
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import {
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LokiOptions,
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LokiQuery,
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LokiQueryType,
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LokiVariableQuery,
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LokiVariableQueryType,
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QueryStats,
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SupportingQueryType,
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} from './types';
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import { LokiVariableSupport } from './variables';
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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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export const REF_ID_DATA_SAMPLES = 'loki-data-samples';
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export const REF_ID_STARTER_ANNOTATION = 'annotation-';
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export const REF_ID_STARTER_LOG_ROW_CONTEXT = 'log-row-context-query-';
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export const REF_ID_STARTER_LOG_VOLUME = 'log-volume-';
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export const REF_ID_STARTER_LOG_SAMPLE = 'log-sample-';
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const NS_IN_MS = 1000000;
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export function makeRequest(
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query: LokiQuery,
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range: TimeRange,
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app: CoreApp,
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requestId: string,
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hideFromInspector?: boolean
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): DataQueryRequest<LokiQuery> {
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const intervalInfo = rangeUtil.calculateInterval(range, 1);
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return {
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targets: [query],
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requestId,
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interval: intervalInfo.interval,
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intervalMs: intervalInfo.intervalMs,
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range: range,
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scopedVars: {},
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timezone: 'UTC',
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app,
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startTime: Date.now(),
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hideFromInspector,
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};
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}
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export class LokiDatasource
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extends DataSourceWithBackend<LokiQuery, LokiOptions>
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implements
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DataSourceWithLogsContextSupport,
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DataSourceWithSupplementaryQueriesSupport<LokiQuery>,
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DataSourceWithQueryImportSupport<LokiQuery>,
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DataSourceWithQueryExportSupport<LokiQuery>
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{
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private streams = new LiveStreams();
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languageProvider: LanguageProvider;
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logContextProvider: LogContextProvider;
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maxLines: number;
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predefinedOperations: string;
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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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this.predefinedOperations = settingsData.predefinedOperations ?? '';
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this.annotations = {
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QueryEditor: LokiAnnotationsQueryEditor,
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};
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this.variables = new LokiVariableSupport(this);
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this.logContextProvider = new LogContextProvider(this);
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}
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getDataProvider(
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type: SupplementaryQueryType,
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request: DataQueryRequest<LokiQuery>
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): Observable<DataQueryResponse> | undefined {
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if (!this.getSupportedSupplementaryQueryTypes().includes(type)) {
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return undefined;
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}
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switch (type) {
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case SupplementaryQueryType.LogsVolume:
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return this.getLogsVolumeDataProvider(request);
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case SupplementaryQueryType.LogsSample:
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return this.getLogsSampleDataProvider(request);
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default:
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return undefined;
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}
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}
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getSupportedSupplementaryQueryTypes(): SupplementaryQueryType[] {
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return [SupplementaryQueryType.LogsVolume, SupplementaryQueryType.LogsSample];
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}
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getSupplementaryQuery(options: SupplementaryQueryOptions, query: LokiQuery): LokiQuery | undefined {
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if (!this.getSupportedSupplementaryQueryTypes().includes(options.type)) {
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return undefined;
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}
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const normalizedQuery = getNormalizedLokiQuery(query);
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const expr = removeCommentsFromQuery(normalizedQuery.expr);
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let isQuerySuitable = false;
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switch (options.type) {
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case SupplementaryQueryType.LogsVolume:
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// it has to be a logs-producing range-query
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isQuerySuitable = !!(query.expr && isLogsQuery(query.expr) && query.queryType === LokiQueryType.Range);
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if (!isQuerySuitable) {
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return undefined;
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}
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return {
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...normalizedQuery,
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refId: `${REF_ID_STARTER_LOG_VOLUME}${normalizedQuery.refId}`,
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queryType: LokiQueryType.Range,
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supportingQueryType: SupportingQueryType.LogsVolume,
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expr: `sum by (level) (count_over_time(${expr}[$__interval]))`,
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};
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case SupplementaryQueryType.LogsSample:
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// it has to be a metric query
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isQuerySuitable = !!(query.expr && !isLogsQuery(query.expr));
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if (!isQuerySuitable) {
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return undefined;
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}
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return {
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...normalizedQuery,
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queryType: LokiQueryType.Range,
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refId: `${REF_ID_STARTER_LOG_SAMPLE}${normalizedQuery.refId}`,
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expr: getLogQueryFromMetricsQuery(expr),
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maxLines: Number.isNaN(Number(options.limit)) ? this.maxLines : Number(options.limit),
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};
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default:
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return undefined;
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}
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}
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getLogsVolumeDataProvider(request: DataQueryRequest<LokiQuery>): Observable<DataQueryResponse> | undefined {
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const logsVolumeRequest = cloneDeep(request);
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const targets = logsVolumeRequest.targets
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.map((query) => this.getSupplementaryQuery({ type: SupplementaryQueryType.LogsVolume }, query))
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.filter((query): query is LokiQuery => !!query);
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if (!targets.length) {
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return undefined;
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}
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return queryLogsVolume(
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this,
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{ ...logsVolumeRequest, targets },
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{
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extractLevel,
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range: request.range,
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targets: request.targets,
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}
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);
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}
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getLogsSampleDataProvider(request: DataQueryRequest<LokiQuery>): Observable<DataQueryResponse> | undefined {
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const logsSampleRequest = cloneDeep(request);
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const targets = logsSampleRequest.targets
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.map((query) => this.getSupplementaryQuery({ type: SupplementaryQueryType.LogsSample, limit: 100 }, query))
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.filter((query): query is LokiQuery => !!query);
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if (!targets.length) {
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return undefined;
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}
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return queryLogsSample(this, { ...logsSampleRequest, targets });
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}
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query(request: DataQueryRequest<LokiQuery>): Observable<DataQueryResponse> {
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const queries = request.targets
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.map(getNormalizedLokiQuery) // "fix" the `.queryType` prop
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.map((q) => ({ ...q, maxLines: q.maxLines ?? this.maxLines }));
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const fixedRequest: DataQueryRequest<LokiQuery> = {
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...request,
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targets: queries,
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};
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const streamQueries = fixedRequest.targets.filter((q) => q.queryType === LokiQueryType.Stream);
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if (
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config.featureToggles.lokiExperimentalStreaming &&
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streamQueries.length > 0 &&
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fixedRequest.rangeRaw?.to === 'now'
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) {
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// this is still an in-development feature,
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// we do not support mixing stream-queries with normal-queries for now.
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const streamRequest = {
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...fixedRequest,
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targets: streamQueries,
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};
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return merge(
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...streamQueries.map((q) =>
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doLokiChannelStream(
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this.applyTemplateVariables(q, request.scopedVars),
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this, // the datasource
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streamRequest
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)
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)
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);
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}
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if (fixedRequest.liveStreaming) {
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return this.runLiveQueryThroughBackend(fixedRequest);
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}
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if (config.featureToggles.lokiQuerySplitting && requestSupportsSplitting(fixedRequest.targets)) {
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return runSplitQuery(this, fixedRequest);
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}
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const startTime = new Date();
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return this.runQuery(fixedRequest).pipe(
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tap((response) =>
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trackQuery(response, fixedRequest, startTime, { predefinedOperations: this.predefinedOperations })
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)
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);
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}
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runQuery(fixedRequest: DataQueryRequest<LokiQuery>) {
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return super
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.query(fixedRequest)
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.pipe(
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map((response) =>
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transformBackendResult(response, fixedRequest.targets, this.instanceSettings.jsonData.derivedFields ?? [])
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)
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);
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}
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runLiveQueryThroughBackend(request: DataQueryRequest<LokiQuery>): Observable<DataQueryResponse> {
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// this only works in explore-mode, so variables don't need to be handled,
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// and only for logs-queries, not metric queries
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const logsQueries = request.targets.filter((query) => query.expr !== '' && isLogsQuery(query.expr));
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if (logsQueries.length === 0) {
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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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const subQueries = logsQueries.map((query) => {
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const maxDataPoints = query.maxLines || this.maxLines;
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// FIXME: currently we are running it through the frontend still.
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return this.runLiveQuery(query, maxDataPoints);
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});
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return merge(...subQueries);
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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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getRangeScopedVars(range: TimeRange = this.getTimeRange()) {
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const msRange = range.to.diff(range.from);
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const sRange = Math.round(msRange / 1000);
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return {
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__range_ms: { text: msRange, value: msRange },
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__range_s: { text: sRange, value: sRange },
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__range: { text: sRange + 's', value: sRange + 's' },
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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.getRef(),
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expr: this.addAdHocFilters(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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getTimeRange() {
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return this.timeSrv.timeRange();
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}
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getTimeRangeParams() {
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const timeRange = this.getTimeRange();
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return { start: timeRange.from.valueOf() * NS_IN_MS, end: timeRange.to.valueOf() * NS_IN_MS };
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}
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async importFromAbstractQueries(abstractQueries: AbstractQuery[]): Promise<LokiQuery[]> {
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await this.languageProvider.start();
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const existingKeys = this.languageProvider.labelKeys;
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if (existingKeys && existingKeys.length) {
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abstractQueries = abstractQueries.map((abstractQuery) => {
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abstractQuery.labelMatchers = abstractQuery.labelMatchers.filter((labelMatcher) => {
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return existingKeys.includes(labelMatcher.name);
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});
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return abstractQuery;
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});
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}
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return abstractQueries.map((abstractQuery) => this.languageProvider.importFromAbstractQuery(abstractQuery));
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}
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async exportToAbstractQueries(queries: LokiQuery[]): Promise<AbstractQuery[]> {
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return queries.map((query) => this.languageProvider.exportToAbstractQuery(query));
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}
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async metadataRequest(url: string, params?: Record<string, string | number>, options?: Partial<BackendSrvRequest>) {
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// url must not start with a `/`, otherwise the AJAX-request
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// going from the browser will contain `//`, which can cause problems.
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if (url.startsWith('/')) {
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throw new Error(`invalid metadata request url: ${url}`);
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}
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const res = await this.getResource(url, params, options);
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return res.data || [];
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}
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// We need a specific metadata method for stats endpoint as it does not return res.data,
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// but it returns stats directly in res object.
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async statsMetadataRequest(
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url: string,
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params?: Record<string, string | number>,
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options?: Partial<BackendSrvRequest>
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): Promise<QueryStats> {
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if (url.startsWith('/')) {
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throw new Error(`invalid metadata request url: ${url}`);
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}
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return await this.getResource(url, params, options);
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}
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async getQueryStats(query: string): Promise<QueryStats | undefined> {
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// if query is invalid, clear stats, and don't request
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if (isQueryWithError(this.interpolateString(query, placeHolderScopedVars))) {
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return undefined;
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}
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const { start, end } = this.getTimeRangeParams();
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const labelMatchers = getStreamSelectorsFromQuery(query);
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let statsForAll: QueryStats = { streams: 0, chunks: 0, bytes: 0, entries: 0 };
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for (const labelMatcher of labelMatchers) {
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try {
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const data = await this.statsMetadataRequest(
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'index/stats',
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{ query: labelMatcher, start, end },
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{ showErrorAlert: false }
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);
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statsForAll = {
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streams: statsForAll.streams + data.streams,
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chunks: statsForAll.chunks + data.chunks,
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bytes: statsForAll.bytes + data.bytes,
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entries: statsForAll.entries + data.entries,
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};
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} catch (e) {
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break;
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}
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}
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return statsForAll;
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}
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async metricFindQuery(query: LokiVariableQuery | string) {
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if (!query) {
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return Promise.resolve([]);
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}
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if (typeof query === 'string') {
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const interpolated = this.interpolateString(query);
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return await this.legacyProcessMetricFindQuery(interpolated);
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}
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const interpolatedQuery = {
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...query,
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label: this.interpolateString(query.label || ''),
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stream: this.interpolateString(query.stream || ''),
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};
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return await this.processMetricFindQuery(interpolatedQuery);
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}
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async processMetricFindQuery(query: LokiVariableQuery) {
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if (query.type === LokiVariableQueryType.LabelNames) {
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return this.labelNamesQuery();
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}
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if (!query.label) {
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return [];
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}
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// If we have stream selector, use /series endpoint
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if (query.stream) {
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return this.labelValuesSeriesQuery(query.stream, query.label);
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}
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return this.labelValuesQuery(query.label);
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}
|
|
|
|
async legacyProcessMetricFindQuery(query: string) {
|
|
const labelNames = query.match(labelNamesRegex);
|
|
if (labelNames) {
|
|
return await this.labelNamesQuery();
|
|
}
|
|
|
|
const labelValues = query.match(labelValuesRegex);
|
|
if (labelValues) {
|
|
// If we have stream selector, 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);
|
|
}
|
|
|
|
async getDataSamples(query: LokiQuery): Promise<DataFrame[]> {
|
|
// Currently works only for logs sample
|
|
if (!isLogsQuery(query.expr) || isQueryWithError(this.interpolateString(query.expr, placeHolderScopedVars))) {
|
|
return [];
|
|
}
|
|
|
|
const lokiLogsQuery: LokiQuery = {
|
|
expr: query.expr,
|
|
queryType: LokiQueryType.Range,
|
|
refId: REF_ID_DATA_SAMPLES,
|
|
// For samples we limit the request to 10 lines, so queries are small and fast
|
|
maxLines: 10,
|
|
};
|
|
|
|
const timeRange = this.getTimeRange();
|
|
const request = makeRequest(lokiLogsQuery, timeRange, CoreApp.Unknown, REF_ID_DATA_SAMPLES, true);
|
|
return await lastValueFrom(this.query(request).pipe(switchMap((res) => of(res.data))));
|
|
}
|
|
|
|
// By implementing getTagKeys and getTagValues we add ad-hoc filters 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: QueryFixAction): LokiQuery {
|
|
let expression = query.expr ?? '';
|
|
switch (action.type) {
|
|
case 'ADD_FILTER': {
|
|
if (action.options?.key && action.options?.value) {
|
|
const value = escapeLabelValueInSelector(action.options.value);
|
|
|
|
// This gives the user the ability to toggle a filter on and off.
|
|
expression = queryHasFilter(expression, action.options.key, '=', value)
|
|
? removeLabelFromQuery(expression, action.options.key, '=', value)
|
|
: addLabelToQuery(expression, action.options.key, '=', value);
|
|
}
|
|
break;
|
|
}
|
|
case 'ADD_FILTER_OUT': {
|
|
if (action.options?.key && action.options?.value) {
|
|
const value = escapeLabelValueInSelector(action.options.value);
|
|
|
|
/**
|
|
* If there is a filter with the same key and value, remove it.
|
|
* This prevents the user from seeing no changes in the query when they apply
|
|
* this filter.
|
|
*/
|
|
if (queryHasFilter(expression, action.options.key, '=', value)) {
|
|
expression = removeLabelFromQuery(expression, action.options.key, '=', value);
|
|
}
|
|
|
|
expression = addLabelToQuery(expression, action.options.key, '!=', value);
|
|
}
|
|
break;
|
|
}
|
|
case 'ADD_LOGFMT_PARSER': {
|
|
expression = addParserToQuery(expression, 'logfmt');
|
|
break;
|
|
}
|
|
case 'ADD_JSON_PARSER': {
|
|
expression = addParserToQuery(expression, 'json');
|
|
break;
|
|
}
|
|
case 'ADD_UNPACK_PARSER': {
|
|
expression = addParserToQuery(expression, 'unpack');
|
|
break;
|
|
}
|
|
case 'ADD_NO_PIPELINE_ERROR': {
|
|
expression = addNoPipelineErrorToQuery(expression);
|
|
break;
|
|
}
|
|
case 'ADD_LEVEL_LABEL_FORMAT': {
|
|
if (action.options?.originalLabel && action.options?.renameTo) {
|
|
expression = addLabelFormatToQuery(expression, {
|
|
renameTo: action.options.renameTo,
|
|
originalLabel: action.options.originalLabel,
|
|
});
|
|
}
|
|
break;
|
|
}
|
|
case 'ADD_LABEL_FILTER': {
|
|
const parserPositions = getParserPositions(query.expr);
|
|
const labelFilterPositions = getLabelFilterPositions(query.expr);
|
|
const lastPosition = findLastPosition([...parserPositions, ...labelFilterPositions]);
|
|
const filter = toLabelFilter('', '', '=');
|
|
expression = addFilterAsLabelFilter(expression, [lastPosition], filter);
|
|
break;
|
|
}
|
|
case 'ADD_LINE_FILTER': {
|
|
expression = addLineFilter(expression);
|
|
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 = async (
|
|
row: LogRowModel,
|
|
options?: LogRowContextOptions,
|
|
origQuery?: DataQuery
|
|
): Promise<{ data: DataFrame[] }> => {
|
|
return await this.logContextProvider.getLogRowContext(row, options, getLokiQueryFromDataQuery(origQuery));
|
|
};
|
|
|
|
getLogRowContextQuery = async (
|
|
row: LogRowModel,
|
|
options?: LogRowContextOptions,
|
|
origQuery?: DataQuery
|
|
): Promise<DataQuery> => {
|
|
return await this.logContextProvider.getLogRowContextQuery(row, options, getLokiQueryFromDataQuery(origQuery));
|
|
};
|
|
|
|
getLogRowContextUi(row: LogRowModel, runContextQuery: () => void, origQuery: DataQuery): React.ReactNode {
|
|
return this.logContextProvider.getLogRowContextUi(row, runContextQuery, getLokiQueryFromDataQuery(origQuery));
|
|
}
|
|
|
|
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 successfully connected.' }
|
|
: {
|
|
status: 'error',
|
|
message:
|
|
'Data source connected, but no labels were received. Verify that Loki and Promtail are correctly configured.',
|
|
};
|
|
},
|
|
(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 !== '' ? ` (${info})` : '';
|
|
const message = `Unable to connect with Loki${infoInParentheses}. Please check the server logs for more details.`;
|
|
return { status: 'error', message: message };
|
|
}
|
|
);
|
|
}
|
|
|
|
async annotationQuery(options: any): Promise<AnnotationEvent[]> {
|
|
const { expr, maxLines, instant, tagKeys = '', titleFormat = '', textFormat = '' } = options.annotation;
|
|
|
|
if (!expr) {
|
|
return [];
|
|
}
|
|
|
|
const id = `${REF_ID_STARTER_ANNOTATION}${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 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;
|
|
}
|
|
|
|
addAdHocFilters(queryExpr: string) {
|
|
const adhocFilters = this.templateSrv.getAdhocFilters(this.name);
|
|
let expr = replaceVariables(queryExpr);
|
|
|
|
expr = adhocFilters.reduce((acc: string, filter: { key: string; operator: string; value: string }) => {
|
|
const { key, operator } = filter;
|
|
let { value } = filter;
|
|
if (isRegexSelector(operator)) {
|
|
// Adhoc filters don't support multiselect, therefore if user selects regex operator
|
|
// we are going to consider value to be regex filter and use lokiRegularEscape
|
|
// that does not escape regex special characters (e.g. .*test.* => .*test.*)
|
|
value = lokiRegularEscape(value);
|
|
} else {
|
|
// Otherwise, we want to escape special characters in value
|
|
value = escapeLabelValueInSelector(value, operator);
|
|
}
|
|
return addLabelToQuery(acc, key, operator, value);
|
|
}, expr);
|
|
|
|
return returnVariables(expr);
|
|
}
|
|
|
|
// 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 because we support using them in
|
|
// alerting/ML queries and we want to have consistent interpolation for all queries
|
|
const { __interval, __interval_ms, __range, __range_s, __range_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, scopedVars?: ScopedVars) {
|
|
return this.templateSrv.replace(string, scopedVars, this.interpolateQueryExpr);
|
|
}
|
|
|
|
getVariables(): string[] {
|
|
return this.templateSrv.getVariables().map((v) => `$${v.name}`);
|
|
}
|
|
|
|
getQueryHints(query: LokiQuery, result: DataFrame[]): QueryHint[] {
|
|
return getQueryHints(query.expr, result);
|
|
}
|
|
|
|
getDefaultQuery(app: CoreApp): LokiQuery {
|
|
const defaults = { refId: 'A', expr: '' };
|
|
|
|
if (app === CoreApp.UnifiedAlerting) {
|
|
return {
|
|
...defaults,
|
|
queryType: LokiQueryType.Instant,
|
|
};
|
|
}
|
|
|
|
return {
|
|
...defaults,
|
|
queryType: LokiQueryType.Range,
|
|
};
|
|
}
|
|
}
|
|
|
|
// NOTE: these two functions are very similar to the escapeLabelValueIn* functions
|
|
// in language_utils.ts, but they are not exactly the same algorithm, and we found
|
|
// no way to reuse one in the another or vice versa.
|
|
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;
|
|
}
|
|
|
|
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;
|
|
}
|