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grafana/public/app/plugins/datasource/loki/LanguageProvider.ts

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import { chain, difference } from 'lodash';
import LRU from 'lru-cache';
import Prism, { Grammar } from 'prismjs';
import { dateTime, AbsoluteTimeRange, LanguageProvider, HistoryItem, AbstractQuery } from '@grafana/data';
import { CompletionItem, TypeaheadInput, TypeaheadOutput, CompletionItemGroup } from '@grafana/ui';
import {
extractLabelMatchers,
parseSelector,
processLabels,
toPromLikeExpr,
} from 'app/plugins/datasource/prometheus/language_utils';
import { LokiDatasource } from './datasource';
import {
extractLabelKeysFromDataFrame,
extractLogParserFromDataFrame,
extractUnwrapLabelKeysFromDataFrame,
} from './responseUtils';
import syntax, { FUNCTIONS, PIPE_PARSERS, PIPE_OPERATORS } from './syntax';
import { LokiQuery, LokiQueryType } from './types';
const DEFAULT_KEYS = ['job', 'namespace'];
const EMPTY_SELECTOR = '{}';
const HISTORY_ITEM_COUNT = 10;
const HISTORY_COUNT_CUTOFF = 1000 * 60 * 60 * 24; // 24h
const NS_IN_MS = 1000000;
// When changing RATE_RANGES, check if Prometheus/PromQL ranges should be changed too
// @see public/app/plugins/datasource/prometheus/promql.ts
const RATE_RANGES: CompletionItem[] = [
{ label: '$__interval', sortValue: '$__interval' },
{ label: '$__range', sortValue: '$__range' },
{ label: '1m', sortValue: '00:01:00' },
{ label: '5m', sortValue: '00:05:00' },
{ label: '10m', sortValue: '00:10:00' },
{ label: '30m', sortValue: '00:30:00' },
{ label: '1h', sortValue: '01:00:00' },
{ label: '1d', sortValue: '24:00:00' },
];
export const LABEL_REFRESH_INTERVAL = 1000 * 30; // 30sec
const wrapLabel = (label: string) => ({ label, filterText: `\"${label}\"` });
export type LokiHistoryItem = HistoryItem<LokiQuery>;
type TypeaheadContext = {
history?: LokiHistoryItem[];
absoluteRange?: AbsoluteTimeRange;
};
export function addHistoryMetadata(item: CompletionItem, history: LokiHistoryItem[]): CompletionItem {
const cutoffTs = Date.now() - HISTORY_COUNT_CUTOFF;
const historyForItem = history.filter((h) => h.ts > cutoffTs && h.query.expr === item.label);
let hint = `Queried ${historyForItem.length} times in the last 24h.`;
const recent = historyForItem[0];
if (recent) {
const lastQueried = dateTime(recent.ts).fromNow();
hint = `${hint} Last queried ${lastQueried}.`;
}
return {
...item,
documentation: hint,
};
}
export default class LokiLanguageProvider extends LanguageProvider {
labelKeys: string[];
labelFetchTs: number;
started = false;
datasource: LokiDatasource;
lookupsDisabled = false; // Dynamically set to true for big/slow instances
/**
* Cache for labels of series. This is bit simplistic in the sense that it just counts responses each as a 1 and does
* not account for different size of a response. If that is needed a `length` function can be added in the options.
* 10 as a max size is totally arbitrary right now.
*/
private seriesCache = new LRU<string, Record<string, string[]>>({ max: 10 });
private labelsCache = new LRU<string, string[]>({ max: 10 });
constructor(datasource: LokiDatasource, initialValues?: any) {
super();
this.datasource = datasource;
this.labelKeys = [];
this.labelFetchTs = 0;
Object.assign(this, initialValues);
}
// Strip syntax chars
cleanText = (s: string) => s.replace(/[{}[\]="(),!~+\-*/^%\|]/g, '').trim();
getSyntax(): Grammar {
return syntax;
}
request = async (url: string, params?: any): Promise<any> => {
try {
return await this.datasource.metadataRequest(url, params);
} catch (error) {
console.error(error);
}
return undefined;
};
/**
* Initialise the language provider by fetching set of labels. Without this initialisation the provider would return
* just a set of hardcoded default labels on provideCompletionItems or a recent queries from history.
*/
start = () => {
if (!this.startTask) {
this.startTask = this.fetchLabels().then(() => {
this.started = true;
return [];
});
}
return this.startTask;
};
getLabelKeys(): string[] {
return this.labelKeys;
}
/**
* Return suggestions based on input that can be then plugged into a typeahead dropdown.
* Keep this DOM-free for testing
* @param input
* @param context Is optional in types but is required in case we are doing getLabelCompletionItems
* @param context.absoluteRange Required in case we are doing getLabelCompletionItems
* @param context.history Optional used only in getEmptyCompletionItems
*/
async provideCompletionItems(input: TypeaheadInput, context?: TypeaheadContext): Promise<TypeaheadOutput> {
const { wrapperClasses, value, prefix, text } = input;
const emptyResult: TypeaheadOutput = { suggestions: [] };
if (!value) {
return emptyResult;
}
// Local text properties
const empty = value?.document.text.length === 0;
const selectedLines = value.document.getTextsAtRange(value.selection);
const currentLine = selectedLines.size === 1 ? selectedLines.first().getText() : null;
const nextCharacter = currentLine ? currentLine[value.selection.anchor.offset] : null;
// Syntax spans have 3 classes by default. More indicate a recognized token
const tokenRecognized = wrapperClasses.length > 3;
// Non-empty prefix, but not inside known token
const prefixUnrecognized = prefix && !tokenRecognized;
// Prevent suggestions in `function(|suffix)`
const noSuffix = !nextCharacter || nextCharacter === ')';
// Prefix is safe if it does not immediately follow a complete expression and has no text after it
const safePrefix = prefix && !text.match(/^['"~=\]})\s]+$/) && noSuffix;
// About to type next operand if preceded by binary operator
const operatorsPattern = /[+\-*/^%]/;
const isNextOperand = text.match(operatorsPattern);
// Determine candidates by CSS context
if (wrapperClasses.includes('context-range')) {
// Suggestions for metric[|]
return this.getRangeCompletionItems();
} else if (wrapperClasses.includes('context-labels')) {
// Suggestions for {|} and {foo=|}
return await this.getLabelCompletionItems(input);
} else if (wrapperClasses.includes('context-pipe')) {
return this.getPipeCompletionItem();
} else if (empty) {
// Suggestions for empty query field
return this.getEmptyCompletionItems(context);
} else if (prefixUnrecognized && noSuffix && !isNextOperand) {
// Show term suggestions in a couple of scenarios
return this.getBeginningCompletionItems(context);
} else if (prefixUnrecognized && safePrefix) {
// Show term suggestions in a couple of scenarios
return this.getTermCompletionItems();
}
return emptyResult;
}
getBeginningCompletionItems = (context?: TypeaheadContext): TypeaheadOutput => {
return {
suggestions: [...this.getEmptyCompletionItems(context).suggestions, ...this.getTermCompletionItems().suggestions],
};
};
getEmptyCompletionItems(context?: TypeaheadContext): TypeaheadOutput {
const history = context?.history;
const suggestions = [];
if (history?.length) {
const historyItems = chain(history)
.map((h) => h.query.expr)
.filter()
.uniq()
.take(HISTORY_ITEM_COUNT)
.map(wrapLabel)
.map((item) => addHistoryMetadata(item, history))
.value();
suggestions.push({
prefixMatch: true,
skipSort: true,
label: 'History',
items: historyItems,
});
}
return { suggestions };
}
getTermCompletionItems = (): TypeaheadOutput => {
const suggestions = [];
suggestions.push({
prefixMatch: true,
label: 'Functions',
items: FUNCTIONS.map((suggestion) => ({ ...suggestion, kind: 'function' })),
});
return { suggestions };
};
getPipeCompletionItem = (): TypeaheadOutput => {
const suggestions = [];
suggestions.push({
label: 'Operators',
items: PIPE_OPERATORS.map((suggestion) => ({ ...suggestion, kind: 'operators' })),
});
suggestions.push({
label: 'Parsers',
items: PIPE_PARSERS.map((suggestion) => ({ ...suggestion, kind: 'parsers' })),
});
return { suggestions };
};
getRangeCompletionItems(): TypeaheadOutput {
return {
context: 'context-range',
suggestions: [
{
label: 'Range vector',
items: [...RATE_RANGES],
},
],
};
}
async getLabelCompletionItems({ text, wrapperClasses, labelKey, value }: TypeaheadInput): Promise<TypeaheadOutput> {
let context = 'context-labels';
const suggestions: CompletionItemGroup[] = [];
if (!value) {
return { context, suggestions: [] };
}
const line = value.anchorBlock.getText();
const cursorOffset = value.selection.anchor.offset;
const isValueStart = text.match(/^(=|=~|!=|!~)/);
// Get normalized selector
let selector;
let parsedSelector;
try {
parsedSelector = parseSelector(line, cursorOffset);
selector = parsedSelector.selector;
} catch {
selector = EMPTY_SELECTOR;
}
if (!labelKey && selector === EMPTY_SELECTOR) {
// start task gets all labels
await this.start();
const allLabels = this.getLabelKeys();
return { context, suggestions: [{ label: `Labels`, items: allLabels.map(wrapLabel) }] };
}
const existingKeys = parsedSelector ? parsedSelector.labelKeys : [];
let labelValues;
// Query labels for selector
if (selector) {
if (selector === EMPTY_SELECTOR && labelKey) {
const labelValuesForKey = await this.getLabelValues(labelKey);
labelValues = { [labelKey]: labelValuesForKey };
} else {
labelValues = await this.getSeriesLabels(selector);
}
}
if (!labelValues) {
console.warn(`Server did not return any values for selector = ${selector}`);
return { context, suggestions };
}
if ((text && isValueStart) || wrapperClasses.includes('attr-value')) {
// Label values
if (labelKey && labelValues[labelKey]) {
context = 'context-label-values';
suggestions.push({
label: `Label values for "${labelKey}"`,
// Filter to prevent previously selected values from being repeatedly suggested
items: labelValues[labelKey].map(wrapLabel).filter(({ filterText }) => filterText !== text),
});
}
} else {
// Label keys
const labelKeys = labelValues ? Object.keys(labelValues) : DEFAULT_KEYS;
if (labelKeys) {
const possibleKeys = difference(labelKeys, existingKeys);
if (possibleKeys.length) {
const newItems = possibleKeys.map((key) => ({ label: key }));
const newSuggestion: CompletionItemGroup = { label: `Labels`, items: newItems };
suggestions.push(newSuggestion);
}
}
}
return { context, suggestions };
}
importFromAbstractQuery(labelBasedQuery: AbstractQuery): LokiQuery {
return {
refId: labelBasedQuery.refId,
expr: toPromLikeExpr(labelBasedQuery),
queryType: LokiQueryType.Range,
};
}
exportToAbstractQuery(query: LokiQuery): AbstractQuery {
const lokiQuery = query.expr;
if (!lokiQuery || lokiQuery.length === 0) {
return { refId: query.refId, labelMatchers: [] };
}
const tokens = Prism.tokenize(lokiQuery, syntax);
return {
refId: query.refId,
labelMatchers: extractLabelMatchers(tokens),
};
}
async getSeriesLabels(selector: string) {
if (this.lookupsDisabled) {
return undefined;
}
try {
return await this.fetchSeriesLabels(selector);
} catch (error) {
// TODO: better error handling
console.error(error);
return undefined;
}
}
/**
* Fetches all label keys
*/
async fetchLabels(): Promise<string[]> {
const url = 'labels';
const timeRange = this.datasource.getTimeRangeParams();
this.labelFetchTs = Date.now().valueOf();
const res = await this.request(url, timeRange);
if (Array.isArray(res)) {
const labels = res
.slice()
.sort()
.filter((label) => label !== '__name__');
this.labelKeys = labels;
}
return [];
}
async refreshLogLabels(forceRefresh?: boolean) {
if ((this.labelKeys && Date.now().valueOf() - this.labelFetchTs > LABEL_REFRESH_INTERVAL) || forceRefresh) {
await this.fetchLabels();
}
}
/**
* Fetch labels for a selector. This is cached by its args but also by the global timeRange currently selected as
* they can change over requested time.
* @param name
*/
fetchSeriesLabels = async (match: string): Promise<Record<string, string[]>> => {
const interpolatedMatch = this.datasource.interpolateString(match);
const url = 'series';
const { start, end } = this.datasource.getTimeRangeParams();
const cacheKey = this.generateCacheKey(url, start, end, interpolatedMatch);
let value = this.seriesCache.get(cacheKey);
if (!value) {
// Clear value when requesting new one. Empty object being truthy also makes sure we don't request twice.
this.seriesCache.set(cacheKey, {});
const params = { 'match[]': interpolatedMatch, start, end };
const data = await this.request(url, params);
const { values } = processLabels(data);
value = values;
this.seriesCache.set(cacheKey, value);
}
return value;
};
/**
* Fetch series for a selector. Use this for raw results. Use fetchSeriesLabels() to get labels.
* @param match
*/
fetchSeries = async (match: string): Promise<Array<Record<string, string>>> => {
const url = 'series';
const { start, end } = this.datasource.getTimeRangeParams();
const params = { 'match[]': match, start, end };
return await this.request(url, params);
};
// Cache key is a bit different here. We round up to a minute the intervals.
// The rounding may seem strange but makes relative intervals like now-1h less prone to need separate request every
// millisecond while still actually getting all the keys for the correct interval. This still can create problems
// when user does not the newest values for a minute if already cached.
generateCacheKey(url: string, start: number, end: number, param: string): string {
return [url, this.roundTime(start), this.roundTime(end), param].join();
}
// Round nanos epoch to nearest 5 minute interval
roundTime(nanos: number): number {
return nanos ? Math.floor(nanos / NS_IN_MS / 1000 / 60 / 5) : 0;
}
async getLabelValues(key: string): Promise<string[]> {
return await this.fetchLabelValues(key);
}
async fetchLabelValues(key: string): Promise<string[]> {
const interpolatedKey = encodeURIComponent(this.datasource.interpolateString(key));
const url = `label/${interpolatedKey}/values`;
const rangeParams = this.datasource.getTimeRangeParams();
const { start, end } = rangeParams;
const cacheKey = this.generateCacheKey(url, start, end, interpolatedKey);
const params = { start, end };
let labelValues = this.labelsCache.get(cacheKey);
if (!labelValues) {
// Clear value when requesting new one. Empty object being truthy also makes sure we don't request twice.
this.labelsCache.set(cacheKey, []);
const res = await this.request(url, params);
if (Array.isArray(res)) {
labelValues = res.slice().sort();
this.labelsCache.set(cacheKey, labelValues);
}
}
return labelValues ?? [];
}
async getParserAndLabelKeys(
selector: string
): Promise<{ extractedLabelKeys: string[]; hasJSON: boolean; hasLogfmt: boolean; unwrapLabelKeys: string[] }> {
const series = await this.datasource.getDataSamples({ expr: selector, refId: 'data-samples' });
if (!series.length) {
return { extractedLabelKeys: [], unwrapLabelKeys: [], hasJSON: false, hasLogfmt: false };
}
const { hasLogfmt, hasJSON } = extractLogParserFromDataFrame(series[0]);
return {
extractedLabelKeys: extractLabelKeysFromDataFrame(series[0]),
unwrapLabelKeys: extractUnwrapLabelKeysFromDataFrame(series[0]),
hasJSON,
hasLogfmt,
};
}
}