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* add error handling for prom query builder returning undefined metrics metadata * remove reference to escalation
164 lines
6.3 KiB
TypeScript
164 lines
6.3 KiB
TypeScript
import React, { useCallback } from 'react';
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import { DataSourceApi, PanelData, SelectableValue } from '@grafana/data';
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import { EditorRow } from '@grafana/experimental';
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import { PrometheusDatasource } from '../../datasource';
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import { getMetadataString } from '../../language_provider';
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import { promQueryModeller } from '../PromQueryModeller';
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import { buildVisualQueryFromString } from '../parsing';
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import { LabelFilters } from '../shared/LabelFilters';
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import { OperationList } from '../shared/OperationList';
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import { OperationsEditorRow } from '../shared/OperationsEditorRow';
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import { QueryBuilderHints } from '../shared/QueryBuilderHints';
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import { QueryBuilderLabelFilter } from '../shared/types';
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import { PromVisualQuery } from '../types';
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import { MetricSelect } from './MetricSelect';
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import { NestedQueryList } from './NestedQueryList';
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export interface Props {
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query: PromVisualQuery;
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datasource: PrometheusDatasource;
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onChange: (update: PromVisualQuery) => void;
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onRunQuery: () => void;
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data?: PanelData;
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}
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export const PromQueryBuilder = React.memo<Props>(({ datasource, query, onChange, onRunQuery, data }) => {
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const onChangeLabels = (labels: QueryBuilderLabelFilter[]) => {
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onChange({ ...query, labels });
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};
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/**
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* Map metric metadata to SelectableValue for Select component and also adds defined template variables to the list.
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*/
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const withTemplateVariableOptions = useCallback(
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async (optionsPromise: Promise<Array<{ value: string; description?: string }>>): Promise<SelectableValue[]> => {
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const variables = datasource.getVariables();
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const options = await optionsPromise;
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return [
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...variables.map((value) => ({ label: value, value })),
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...options.map((option) => ({ label: option.value, value: option.value, title: option.description })),
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];
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},
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[datasource]
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);
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const onGetLabelNames = async (forLabel: Partial<QueryBuilderLabelFilter>): Promise<Array<{ value: string }>> => {
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// If no metric we need to use a different method
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if (!query.metric) {
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// Todo add caching but inside language provider!
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await datasource.languageProvider.fetchLabels();
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return datasource.languageProvider.getLabelKeys().map((k) => ({ value: k }));
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}
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const labelsToConsider = query.labels.filter((x) => x !== forLabel);
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labelsToConsider.push({ label: '__name__', op: '=', value: query.metric });
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const expr = promQueryModeller.renderLabels(labelsToConsider);
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const labelsIndex = await datasource.languageProvider.fetchSeriesLabels(expr);
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// filter out already used labels
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return Object.keys(labelsIndex)
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.filter((labelName) => !labelsToConsider.find((filter) => filter.label === labelName))
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.map((k) => ({ value: k }));
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};
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const onGetLabelValues = async (forLabel: Partial<QueryBuilderLabelFilter>) => {
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if (!forLabel.label) {
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return [];
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}
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// If no metric we need to use a different method
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if (!query.metric) {
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return (await datasource.languageProvider.getLabelValues(forLabel.label)).map((v) => ({ value: v }));
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}
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const labelsToConsider = query.labels.filter((x) => x !== forLabel);
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labelsToConsider.push({ label: '__name__', op: '=', value: query.metric });
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const expr = promQueryModeller.renderLabels(labelsToConsider);
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const result = await datasource.languageProvider.fetchSeriesLabels(expr);
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const forLabelInterpolated = datasource.interpolateString(forLabel.label);
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return result[forLabelInterpolated].map((v) => ({ value: v })) ?? [];
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};
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const onGetMetrics = useCallback(() => {
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return withTemplateVariableOptions(getMetrics(datasource, query));
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}, [datasource, query, withTemplateVariableOptions]);
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return (
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<>
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<EditorRow>
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<MetricSelect query={query} onChange={onChange} onGetMetrics={onGetMetrics} />
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<LabelFilters
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labelsFilters={query.labels}
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onChange={onChangeLabels}
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onGetLabelNames={(forLabel: Partial<QueryBuilderLabelFilter>) =>
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withTemplateVariableOptions(onGetLabelNames(forLabel))
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}
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onGetLabelValues={(forLabel: Partial<QueryBuilderLabelFilter>) =>
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withTemplateVariableOptions(onGetLabelValues(forLabel))
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}
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/>
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</EditorRow>
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<OperationsEditorRow>
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<OperationList<PromVisualQuery>
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queryModeller={promQueryModeller}
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datasource={datasource as DataSourceApi}
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query={query}
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onChange={onChange}
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onRunQuery={onRunQuery}
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/>
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<QueryBuilderHints<PromVisualQuery>
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datasource={datasource}
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query={query}
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onChange={onChange}
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data={data}
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queryModeller={promQueryModeller}
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buildVisualQueryFromString={buildVisualQueryFromString}
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/>
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</OperationsEditorRow>
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{query.binaryQueries && query.binaryQueries.length > 0 && (
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<NestedQueryList query={query} datasource={datasource} onChange={onChange} onRunQuery={onRunQuery} />
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)}
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</>
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);
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});
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/**
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* Returns list of metrics, either all or filtered by query param. It also adds description string to each metric if it
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* exists.
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* @param datasource
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* @param query
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*/
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async function getMetrics(
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datasource: PrometheusDatasource,
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query: PromVisualQuery
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): Promise<Array<{ value: string; description?: string }>> {
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// Makes sure we loaded the metadata for metrics. Usually this is done in the start() method of the provider but we
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// don't use it with the visual builder and there is no need to run all the start() setup anyway.
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if (!datasource.languageProvider.metricsMetadata) {
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await datasource.languageProvider.loadMetricsMetadata();
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}
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// Error handling for when metrics metadata returns as undefined
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if (!datasource.languageProvider.metricsMetadata) {
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datasource.languageProvider.metricsMetadata = {};
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}
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let metrics;
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if (query.labels.length > 0) {
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const expr = promQueryModeller.renderLabels(query.labels);
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metrics = (await datasource.languageProvider.getSeries(expr, true))['__name__'] ?? [];
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} else {
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metrics = (await datasource.languageProvider.getLabelValues('__name__')) ?? [];
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}
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return metrics.map((m) => ({
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value: m,
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description: getMetadataString(m, datasource.languageProvider.metricsMetadata!),
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}));
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}
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PromQueryBuilder.displayName = 'PromQueryBuilder';
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