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grafana/public/app/plugins/datasource/prometheus/query_hints.ts

150 lines
4.3 KiB

import { size } from 'lodash';
import { QueryHint, QueryFix } from '@grafana/data';
import { PrometheusDatasource } from './datasource';
/**
* Number of time series results needed before starting to suggest sum aggregation hints
*/
export const SUM_HINT_THRESHOLD_COUNT = 20;
export function getQueryHints(query: string, series?: any[], datasource?: PrometheusDatasource): QueryHint[] {
const hints = [];
// ..._bucket metric needs a histogram_quantile()
const histogramMetric = query.trim().match(/^\w+_bucket$/);
if (histogramMetric) {
const label = 'Time series has buckets, you probably wanted a histogram.';
hints.push({
type: 'HISTOGRAM_QUANTILE',
label,
fix: {
label: 'Fix by adding histogram_quantile().',
action: {
type: 'ADD_HISTOGRAM_QUANTILE',
query,
},
} as QueryFix,
});
}
// Check for need of rate()
if (query.indexOf('rate(') === -1 && query.indexOf('increase(') === -1) {
// Use metric metadata for exact types
const nameMatch = query.match(/\b(\w+_(total|sum|count))\b/);
let counterNameMetric = nameMatch ? nameMatch[1] : '';
const metricsMetadata = datasource?.languageProvider?.metricsMetadata ?? {};
const metricMetadataKeys = Object.keys(metricsMetadata);
let certain = false;
if (metricMetadataKeys.length > 0) {
counterNameMetric =
metricMetadataKeys.find((metricName) => {
// Only considering first type information, could be non-deterministic
const metadata = metricsMetadata[metricName][0];
if (metadata.type.toLowerCase() === 'counter') {
const metricRegex = new RegExp(`\\b${metricName}\\b`);
if (query.match(metricRegex)) {
certain = true;
return true;
}
}
return false;
}) ?? '';
}
if (counterNameMetric) {
const simpleMetric = query.trim().match(/^\w+$/);
const verb = certain ? 'is' : 'looks like';
let label = `Metric ${counterNameMetric} ${verb} a counter.`;
let fix: QueryFix | undefined;
if (simpleMetric) {
fix = {
label: 'Fix by adding rate().',
action: {
type: 'ADD_RATE',
query,
},
};
} else {
label = `${label} Try applying a rate() function.`;
}
hints.push({
type: 'APPLY_RATE',
label,
fix,
});
}
}
// Check for recording rules expansion
if (datasource && datasource.ruleMappings) {
const mapping = datasource.ruleMappings;
const mappingForQuery = Object.keys(mapping).reduce((acc, ruleName) => {
if (query.search(ruleName) > -1) {
return {
...acc,
[ruleName]: mapping[ruleName],
};
}
return acc;
}, {});
if (size(mappingForQuery) > 0) {
const label = 'Query contains recording rules.';
hints.push({
type: 'EXPAND_RULES',
label,
fix: ({
label: 'Expand rules',
action: {
type: 'EXPAND_RULES',
query,
mapping: mappingForQuery,
},
} as any) as QueryFix,
});
}
}
if (series && series.length >= SUM_HINT_THRESHOLD_COUNT) {
const simpleMetric = query.trim().match(/^\w+$/);
if (simpleMetric) {
hints.push({
type: 'ADD_SUM',
label: 'Many time series results returned.',
fix: {
label: 'Consider aggregating with sum().',
action: {
type: 'ADD_SUM',
query: query,
preventSubmit: true,
},
} as QueryFix,
});
}
}
return hints;
}
export function getInitHints(datasource: PrometheusDatasource): QueryHint[] {
const hints = [];
// Hint if using Loki as Prometheus data source
if (datasource.directUrl.includes('/loki') && !datasource.languageProvider.metrics.length) {
hints.push({
label: `Using Loki as a Prometheus data source is no longer supported. You must use the Loki data source for your Loki instance.`,
type: 'INFO',
});
}
// Hint for big disabled lookups
if (datasource.lookupsDisabled) {
hints.push({
label: `Labels and metrics lookup was disabled in data source settings.`,
type: 'INFO',
});
}
return hints;
}