diff --git a/web/ui/mantine-ui/src/api/responseTypes/series.ts b/web/ui/mantine-ui/src/api/responseTypes/series.ts new file mode 100644 index 000000000..0c07def22 --- /dev/null +++ b/web/ui/mantine-ui/src/api/responseTypes/series.ts @@ -0,0 +1,6 @@ +// Result type for /api/v1/series endpoint. + +import { Metric } from "./query"; + +// See: https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers +export type SeriesResult = Metric[]; diff --git a/web/ui/mantine-ui/src/lib/formatFloatValue.ts b/web/ui/mantine-ui/src/lib/formatFloatValue.ts new file mode 100644 index 000000000..6b45e626f --- /dev/null +++ b/web/ui/mantine-ui/src/lib/formatFloatValue.ts @@ -0,0 +1,21 @@ +export const parsePrometheusFloat = (str: string): number => { + switch (str) { + case "+Inf": + return Infinity; + case "-Inf": + return -Infinity; + default: + return parseFloat(str); + } +}; + +export const formatPrometheusFloat = (num: number): string => { + switch (num) { + case Infinity: + return "+Inf"; + case -Infinity: + return "-Inf"; + default: + return num.toString(); + } +}; diff --git a/web/ui/mantine-ui/src/main.tsx b/web/ui/mantine-ui/src/main.tsx index eaf55214e..71b3cf937 100644 --- a/web/ui/mantine-ui/src/main.tsx +++ b/web/ui/mantine-ui/src/main.tsx @@ -4,6 +4,7 @@ import App from "./App.tsx"; import store from "./state/store.ts"; import { Provider } from "react-redux"; import "./fonts/codicon.ttf"; +import "./promql.css"; ReactDOM.createRoot(document.getElementById("root")!).render( diff --git a/web/ui/mantine-ui/src/pages/AlertsPage.tsx b/web/ui/mantine-ui/src/pages/AlertsPage.tsx index 78e12a57d..e96008306 100644 --- a/web/ui/mantine-ui/src/pages/AlertsPage.tsx +++ b/web/ui/mantine-ui/src/pages/AlertsPage.tsx @@ -11,7 +11,6 @@ import { Alert, TextInput, Anchor, - Divider, } from "@mantine/core"; import { useSuspenseAPIQuery } from "../api/api"; import { AlertingRule, AlertingRulesResult } from "../api/responseTypes/rules"; diff --git a/web/ui/mantine-ui/src/pages/query/ExpressionInput.tsx b/web/ui/mantine-ui/src/pages/query/ExpressionInput.tsx index 55f98941b..b13a81f61 100644 --- a/web/ui/mantine-ui/src/pages/query/ExpressionInput.tsx +++ b/web/ui/mantine-ui/src/pages/query/ExpressionInput.tsx @@ -1,5 +1,6 @@ import { ActionIcon, + Box, Button, Group, InputBase, @@ -7,6 +8,7 @@ import { Menu, Modal, rem, + Skeleton, useComputedColorScheme, } from "@mantine/core"; import { @@ -198,8 +200,6 @@ const ExpressionInput: FC = ({ return ( - {/* TODO: For wrapped long lines, the input grows in width more and more, the - longer the line is. Figure out why and fix it. */} {/* eslint-disable-next-line @typescript-eslint/no-explicit-any */} leftSection={ @@ -313,7 +313,13 @@ const ExpressionInput: FC = ({ multiline /> - = ({ title="Explore metrics" > - }> + + {Array.from(Array(20), (_, i) => ( + + ))} + + } + > { diff --git a/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.module.css b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.module.css new file mode 100644 index 000000000..cd058e613 --- /dev/null +++ b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.module.css @@ -0,0 +1,18 @@ +.labelValue { + cursor: pointer; +} + +.labelValue:hover { + background-color: light-dark( + var(--mantine-color-gray-2), + var(--mantine-color-gray-8) + ); + border-radius: var(--mantine-radius-sm); +} + +.promqlPill { + background-color: light-dark( + var(--mantine-color-gray-1), + var(--mantine-color-dark-5) + ); +} diff --git a/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.tsx b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.tsx new file mode 100644 index 000000000..29f159141 --- /dev/null +++ b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/LabelsExplorer.tsx @@ -0,0 +1,415 @@ +import { FC, useMemo, useState } from "react"; +import { + LabelMatcher, + matchType, + nodeType, + VectorSelector, +} from "../../../promql/ast"; +import { + Alert, + Anchor, + Autocomplete, + Box, + Button, + CopyButton, + Group, + List, + Pill, + Text, + SegmentedControl, + Select, + Skeleton, + Stack, + Table, +} from "@mantine/core"; +import { escapeString } from "../../../lib/escapeString"; +import serializeNode from "../../../promql/serialize"; +import { SeriesResult } from "../../../api/responseTypes/series"; +import { useAPIQuery } from "../../../api/api"; +import { Metric } from "../../../api/responseTypes/query"; +import { + IconAlertTriangle, + IconArrowLeft, + IconCheck, + IconCodePlus, + IconCopy, + IconX, +} from "@tabler/icons-react"; +import { formatNode } from "../../../promql/format"; +import classes from "./LabelsExplorer.module.css"; + +type LabelsExplorerProps = { + metricName: string; + insertText: (_text: string) => void; + hideLabelsExplorer: () => void; +}; + +const LabelsExplorer: FC = ({ + metricName, + insertText, + hideLabelsExplorer, +}) => { + const [expandedLabels, setExpandedLabels] = useState([]); + const [matchers, setMatchers] = useState([]); + const [newMatcher, setNewMatcher] = useState(null); + const [sortByCard, setSortByCard] = useState(true); + + const removeMatcher = (name: string) => { + setMatchers(matchers.filter((m) => m.name !== name)); + }; + + const addMatcher = () => { + if (newMatcher === null) { + throw new Error("tried to add null label matcher"); + } + + setMatchers([...matchers, newMatcher]); + setNewMatcher(null); + }; + + const matcherBadge = (m: LabelMatcher) => ( + { + removeMatcher(m.name); + }} + className={classes.promqlPill} + > + + {m.name} + {m.type} + "{escapeString(m.value)}" + + + ); + + const selector: VectorSelector = { + type: nodeType.vectorSelector, + name: metricName, + matchers, + offset: 0, + timestamp: null, + startOrEnd: null, + }; + + // Based on the selected pool (if any), load the list of targets. + const { data, error, isLoading } = useAPIQuery({ + path: `/series`, + params: { + "match[]": serializeNode(selector), + }, + }); + + // When new series data is loaded, update the corresponding label cardinality and example data. + const [numSeries, sortedLabelCards, labelExamples] = useMemo(() => { + const labelCardinalities: Record = {}; + const labelExamples: Record = + {}; + + const labelValuesByName: Record> = {}; + + if (data !== undefined) { + data.data.forEach((series: Metric) => { + Object.entries(series).forEach(([ln, lv]) => { + if (ln !== "__name__") { + if (!(ln in labelValuesByName)) { + labelValuesByName[ln] = { [lv]: 1 }; + } else { + if (!(lv in labelValuesByName[ln])) { + labelValuesByName[ln][lv] = 1; + } else { + labelValuesByName[ln][lv]++; + } + } + } + }); + }); + + Object.entries(labelValuesByName).forEach(([ln, lvs]) => { + labelCardinalities[ln] = Object.keys(lvs).length; + // labelExamples[ln] = Array.from({ length: Math.min(5, lvs.size) }, (i => () => i.next().value)(lvs.keys())); + // Sort label values by their number of occurrences within this label name. + labelExamples[ln] = Object.entries(lvs) + .sort(([, aCnt], [, bCnt]) => bCnt - aCnt) + .map(([lv, cnt]) => ({ value: lv, count: cnt })); + }); + } + + // Sort labels by cardinality if desired, so the labels with the most values are at the top. + const sortedLabelCards = Object.entries(labelCardinalities).sort((a, b) => + sortByCard ? b[1] - a[1] : 0 + ); + + return [data?.data.length, sortedLabelCards, labelExamples]; + }, [data, sortByCard]); + + if (error) { + return ( + } + > + Error: {error.message} + + ); + } + + return ( + + + {/* Selector */} + + + Selector: + + + + + {formatNode(selector, false)} + + + + + + + {({ copied, copy }) => ( + + )} + + + + {/* Filters */} + + + Filters: + + + {matchers.length > 0 ? ( + {matchers.map((m) => matcherBadge(m))} + ) : ( + <>No label filters + )} + + {/* Number of series */} + + + Results: + + <>{numSeries !== undefined ? `${numSeries} series` : "loading..."} + + + {/* Sort order */} + + + + + setSortByCard(value === "cardinality")} + data={[ + { label: "By cardinality", value: "cardinality" }, + { label: "Alphabetic", value: "alphabetic" }, + ]} + /> + + + {/* Labels and their values */} + {isLoading ? ( + + {Array.from(Array(10), (_, i) => ( + + ))} + + ) : ( + + + + Label + Values + + + + {sortedLabelCards.map(([ln, card]) => ( + + +
{ + // Without this, the page gets reloaded for forms that only have a single input field, see + // https://stackoverflow.com/questions/1370021/why-does-forms-with-single-input-field-submit-upon-pressing-enter-key-in-input. + e.preventDefault(); + }} + > + + + {ln} + + {matchers.some((m) => m.name === ln) ? ( + matcherBadge(matchers.find((m) => m.name === ln)!) + ) : newMatcher?.name === ln ? ( + +
+ )} + + ); +}; + +export default LabelsExplorer; diff --git a/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.module.css b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.module.css new file mode 100644 index 000000000..5be156d80 --- /dev/null +++ b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.module.css @@ -0,0 +1,7 @@ +.typeLabel { + color: light-dark(#008080, #14bfad); +} + +.helpLabel { + color: light-dark(#800000, #ff8585); +} diff --git a/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.tsx b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.tsx index ab08e677f..3c56256b5 100644 --- a/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.tsx +++ b/web/ui/mantine-ui/src/pages/query/MetricsExplorer/MetricsExplorer.tsx @@ -1,19 +1,14 @@ -import { FC, useState } from "react"; +import { FC, useMemo, useState } from "react"; import { useSuspenseAPIQuery } from "../../../api/api"; import { MetadataResult } from "../../../api/responseTypes/metadata"; -import { - ActionIcon, - Alert, - Anchor, - Group, - Stack, - Table, - TextInput, -} from "@mantine/core"; +import { ActionIcon, Group, Stack, Table, TextInput } from "@mantine/core"; import React from "react"; import { Fuzzy } from "@nexucis/fuzzy"; import sanitizeHTML from "sanitize-html"; -import { IconCopy, IconTerminal, IconZoomIn } from "@tabler/icons-react"; +import { IconCodePlus, IconCopy, IconZoomCode } from "@tabler/icons-react"; +import LabelsExplorer from "./LabelsExplorer"; +import { useDebouncedValue } from "@mantine/hooks"; +import classes from "./MetricsExplorer.module.css"; const fuz = new Fuzzy({ pre: '', @@ -43,14 +38,22 @@ const MetricsExplorer: FC = ({ insertText, close, }) => { - // const metricMeta = promAPI.useFetchAPI(`/api/v1/metadata`); + console.log("metricNames"); // Fetch the alerting rules data. const { data } = useSuspenseAPIQuery({ path: `/metadata`, }); const [selectedMetric, setSelectedMetric] = useState(null); - const [filterText, setFilterText] = useState(""); + const [filterText, setFilterText] = useState(""); + const [debouncedFilterText] = useDebouncedValue(filterText, 250); + + const searchMatches = useMemo(() => { + if (debouncedFilterText === "") { + return metricNames.map((m) => ({ original: m, rendered: m })); + } + return getSearchMatches(debouncedFilterText, metricNames); + }, [debouncedFilterText, metricNames]); const getMeta = (m: string) => data.data[m.replace(/(_count|_sum|_bucket)$/, "")] || [ @@ -59,14 +62,14 @@ const MetricsExplorer: FC = ({ if (selectedMetric !== null) { return ( - - TODO: The labels explorer for a metric still needs to be implemented. -
-
- setSelectedMetric(null)}> - Back to metrics list - - + { + insertText(text); + close(); + }} + hideLabelsExplorer={() => setSelectedMetric(null)} + /> ); } @@ -90,18 +93,19 @@ const MetricsExplorer: FC = ({ - {(filterText === "" - ? metricNames.map((m) => ({ original: m, rendered: m })) - : getSearchMatches(filterText, metricNames) - ).map((m) => ( + {searchMatches.map((m) => ( -
+ {debouncedFilterText === "" ? ( + m.original + ) : ( +
+ )} = ({ setSelectedMetric(m.original); }} > - @@ -121,13 +125,13 @@ const MetricsExplorer: FC = ({ size="sm" color="gray" variant="light" - title="Insert at cursor" + title="Insert at cursor and close explorer" onClick={() => { insertText(m.original); close(); }} > - @@ -149,18 +153,18 @@ const MetricsExplorer: FC = ({ - + {getMeta(m.original).map((meta, idx) => ( - {meta.type} + {meta.type}
))} - + {getMeta(m.original).map((meta, idx) => ( - {meta.help} + {meta.help}
))} diff --git a/web/ui/mantine-ui/src/promql.css b/web/ui/mantine-ui/src/promql.css new file mode 100644 index 000000000..58dcaf3d3 --- /dev/null +++ b/web/ui/mantine-ui/src/promql.css @@ -0,0 +1,35 @@ +.promql-code { + font-family: "DejaVu Sans Mono", monospace; +} + +.promql-keyword { + color: light-dark(#008080, #14bfad); +} + +.promql-metric-name { + color: light-dark(#000, #fff); +} + +.promql-label-name { + color: light-dark(#800000, #ff8585); +} + +.promql-string { + color: light-dark(#a31515, #fca5a5); +} + +.promql-paren, +.promql-brace { +} + +.promql-ellipsis { + color: light-dark(rgb(170, 170, 170), rgb(170, 170, 170)); +} + +.promql-duration { + color: light-dark(#09885a, #22c55e); +} + +.promql-number { + color: light-dark(#09885a, #22c55e); +} diff --git a/web/ui/mantine-ui/src/promql/ast.ts b/web/ui/mantine-ui/src/promql/ast.ts new file mode 100644 index 000000000..be51866f5 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/ast.ts @@ -0,0 +1,210 @@ +export enum nodeType { + aggregation = 'aggregation', + binaryExpr = 'binaryExpr', + call = 'call', + matrixSelector = 'matrixSelector', + subquery = 'subquery', + numberLiteral = 'numberLiteral', + parenExpr = 'parenExpr', + stringLiteral = 'stringLiteral', + unaryExpr = 'unaryExpr', + vectorSelector = 'vectorSelector', + placeholder = 'placeholder', +} + +export enum aggregationType { + sum = 'sum', + min = 'min', + max = 'max', + avg = 'avg', + stddev = 'stddev', + stdvar = 'stdvar', + count = 'count', + group = 'group', + countValues = 'count_values', + bottomk = 'bottomk', + topk = 'topk', + quantile = 'quantile', + limitK = 'limitk', + limitRatio = 'limit_ratio', +} + +export enum binaryOperatorType { + add = '+', + sub = '-', + mul = '*', + div = '/', + mod = '%', + pow = '^', + eql = '==', + neq = '!=', + gtr = '>', + lss = '<', + gte = '>=', + lte = '<=', + and = 'and', + or = 'or', + unless = 'unless', + atan2 = 'atan2', +} + +export const compOperatorTypes: binaryOperatorType[] = [ + binaryOperatorType.eql, + binaryOperatorType.neq, + binaryOperatorType.gtr, + binaryOperatorType.lss, + binaryOperatorType.gte, + binaryOperatorType.lte, +]; + +export const setOperatorTypes: binaryOperatorType[] = [ + binaryOperatorType.and, + binaryOperatorType.or, + binaryOperatorType.unless, +]; + +export enum unaryOperatorType { + plus = '+', + minus = '-', +} + +export enum vectorMatchCardinality { + oneToOne = 'one-to-one', + manyToOne = 'many-to-one', + oneToMany = 'one-to-many', + manyToMany = 'many-to-many', +} + +export enum valueType { + // TODO: 'none' should never make it out of Prometheus. Do we need this here? + none = 'none', + vector = 'vector', + scalar = 'scalar', + matrix = 'matrix', + string = 'string', +} + +export enum matchType { + equal = '=', + notEqual = '!=', + matchRegexp = '=~', + matchNotRegexp = '!~', +} + +export interface Func { + name: string; + argTypes: valueType[]; + variadic: number; + returnType: valueType; +} + +export interface LabelMatcher { + type: matchType; + name: string; + value: string; +} + +export interface VectorMatching { + card: vectorMatchCardinality; + labels: string[]; + on: boolean; + include: string[]; +} + +export type StartOrEnd = 'start' | 'end' | null; + +// AST Node Types. + +export interface Aggregation { + type: nodeType.aggregation; + expr: ASTNode; + op: aggregationType; + param: ASTNode | null; + grouping: string[]; + without: boolean; +} + +export interface BinaryExpr { + type: nodeType.binaryExpr; + op: binaryOperatorType; + lhs: ASTNode; + rhs: ASTNode; + matching: VectorMatching | null; + bool: boolean; +} + +export interface Call { + type: nodeType.call; + func: Func; + args: ASTNode[]; +} + +export interface MatrixSelector { + type: nodeType.matrixSelector; + name: string; + matchers: LabelMatcher[]; + range: number; + offset: number; + timestamp: number | null; + startOrEnd: StartOrEnd; +} + +export interface Subquery { + type: nodeType.subquery; + expr: ASTNode; + range: number; + offset: number; + step: number; + timestamp: number | null; + startOrEnd: StartOrEnd; +} + +export interface NumberLiteral { + type: nodeType.numberLiteral; + val: string; // Can't be 'number' because JS doesn't support NaN/Inf/-Inf etc. +} + +export interface ParenExpr { + type: nodeType.parenExpr; + expr: ASTNode; +} + +export interface StringLiteral { + type: nodeType.stringLiteral; + val: string; +} + +export interface UnaryExpr { + type: nodeType.unaryExpr; + op: unaryOperatorType; + expr: ASTNode; +} + +export interface VectorSelector { + type: nodeType.vectorSelector; + name: string; + matchers: LabelMatcher[]; + offset: number; + timestamp: number | null; + startOrEnd: StartOrEnd; +} + +export interface Placeholder { + type: nodeType.placeholder; + children: ASTNode[]; +} + +type ASTNode = + | Aggregation + | BinaryExpr + | Call + | MatrixSelector + | Subquery + | NumberLiteral + | ParenExpr + | StringLiteral + | UnaryExpr + | VectorSelector + | Placeholder; + +export default ASTNode; diff --git a/web/ui/mantine-ui/src/promql/binOp.test.ts b/web/ui/mantine-ui/src/promql/binOp.test.ts new file mode 100644 index 000000000..ca34cfa2b --- /dev/null +++ b/web/ui/mantine-ui/src/promql/binOp.test.ts @@ -0,0 +1,2219 @@ +import { describe, expect, it } from "vitest"; +import { + BinOpResult, + MatchErrorType, + computeVectorVectorBinOp, + filteredSampleValue, + fnv1a, + resultMetric, +} from "./binOp"; +import { + VectorMatching, + binaryOperatorType, + vectorMatchCardinality, +} from "./ast"; +import { InstantSample, Metric } from "../api/responseTypes/query"; + +type TestCase = { + desc: string; + op: binaryOperatorType; + matching: VectorMatching; + bool?: boolean; + lhs: InstantSample[]; + rhs: InstantSample[]; + limits?: { + maxGroups?: number; + maxSeriesPerGroup?: number; + }; + result: BinOpResult; +}; + +const testMetricA: InstantSample[] = [ + { + metric: { __name__: "metric_a", label1: "a", label2: "x", same: "same" }, + value: [0, "1"], + }, + { + metric: { __name__: "metric_a", label1: "a", label2: "y", same: "same" }, + value: [0, "2"], + }, + { + metric: { __name__: "metric_a", label1: "b", label2: "x", same: "same" }, + value: [0, "3"], + }, + { + metric: { __name__: "metric_a", label1: "b", label2: "y", same: "same" }, + value: [0, "4"], + }, +]; + +const testMetricB: InstantSample[] = [ + { + metric: { __name__: "metric_b", label1: "a", label2: "x", same: "same" }, + value: [0, "10"], + }, + { + metric: { __name__: "metric_b", label1: "a", label2: "y", same: "same" }, + value: [0, "20"], + }, + { + metric: { __name__: "metric_b", label1: "b", label2: "x", same: "same" }, + value: [0, "30"], + }, + { + metric: { __name__: "metric_b", label1: "b", label2: "y", same: "same" }, + value: [0, "40"], + }, +]; + +const testMetricC: InstantSample[] = [ + { metric: { __name__: "metric_c", label1: "a" }, value: [0, "100"] }, + { metric: { __name__: "metric_c", label1: "b" }, value: [0, "200"] }, +]; + +const testCases: TestCase[] = [ + { + desc: "one-to-one matching on all labels", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "-9"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "-18"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "-27"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "y", same: "same" }, + value: [0, "-36"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "one-to-one matching on explicit labels", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: true, + include: [], + labels: ["label1", "label2"], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x"])]: { + groupLabels: { label1: "a", label2: "x" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x" }, + value: [0, "-9"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y"])]: { + groupLabels: { label1: "a", label2: "y" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y" }, + value: [0, "-18"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x"])]: { + groupLabels: { label1: "b", label2: "x" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x" }, + value: [0, "-27"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y"])]: { + groupLabels: { label1: "b", label2: "y" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "y" }, + value: [0, "-36"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "one-to-one matching ignoring explicit labels", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: ["same"], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x"])]: { + groupLabels: { label1: "a", label2: "x" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x" }, + value: [0, "-9"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y"])]: { + groupLabels: { label1: "a", label2: "y" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y" }, + value: [0, "-18"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x"])]: { + groupLabels: { label1: "b", label2: "x" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x" }, + value: [0, "-27"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y"])]: { + groupLabels: { label1: "b", label2: "y" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "y" }, + value: [0, "-36"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "many-to-one matching with no matching labels specified (empty output)", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricB, + rhs: testMetricC, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + lhsCount: 1, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + lhsCount: 1, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + lhsCount: 1, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + lhsCount: 1, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }, + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [], + lhsCount: 0, + rhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + rhsCount: 1, + result: [], + error: null, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [], + lhsCount: 0, + rhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + rhsCount: 1, + result: [], + error: null, + }, + }, + numGroups: 6, + }, + }, + { + desc: "many-to-one matching with matching labels specified, but no group_left (error)", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricB, + rhs: testMetricC, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + rhsCount: 1, + result: [], + error: { + type: MatchErrorType.multipleMatchesForOneToOneMatching, + dupeSide: "left", + }, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + rhsCount: 1, + result: [], + error: { + type: MatchErrorType.multipleMatchesForOneToOneMatching, + dupeSide: "left", + }, + }, + }, + numGroups: 2, + }, + }, + { + desc: "many-to-one matching with matching labels specified and group_left", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.manyToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricB, + rhs: testMetricC, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "-90"], + }, + manySideIdx: 0, + }, + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "-80"], + }, + manySideIdx: 1, + }, + ], + error: null, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "-170"], + }, + manySideIdx: 0, + }, + { + sample: { + metric: { label1: "b", label2: "y", same: "same" }, + value: [0, "-160"], + }, + manySideIdx: 1, + }, + ], + error: null, + }, + }, + numGroups: 2, + }, + }, + { + desc: "one-to-many matching with matching labels specified and group_right", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToMany, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricC, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 2, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "90"], + }, + manySideIdx: 0, + }, + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "80"], + }, + manySideIdx: 1, + }, + ], + error: null, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 2, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "170"], + }, + manySideIdx: 0, + }, + { + sample: { + metric: { label1: "b", label2: "y", same: "same" }, + value: [0, "160"], + }, + manySideIdx: 1, + }, + ], + error: null, + }, + }, + numGroups: 2, + }, + }, + { + desc: "one-to-many matching with matching labels specified but incorrect group_left (error)", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.manyToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricC, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 2, + result: [], + error: { + type: MatchErrorType.multipleMatchesOnOneSide, + }, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 2, + result: [], + error: { + type: MatchErrorType.multipleMatchesOnOneSide, + }, + }, + }, + numGroups: 2, + }, + }, + { + desc: "insufficient matching labels leading to many-to-many matching for intended one-to-one match (error)", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 2, + result: [], + error: { + type: MatchErrorType.multipleMatchesOnBothSides, + }, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 2, + result: [], + error: { + type: MatchErrorType.multipleMatchesOnBothSides, + }, + }, + }, + numGroups: 2, + }, + }, + { + desc: "filter op keeping all series", + op: binaryOperatorType.lss, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "filter op dropping all series", + op: binaryOperatorType.gte, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, filteredSampleValue], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, filteredSampleValue], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, filteredSampleValue], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, filteredSampleValue], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "filter op dropping all series, but with bool", + op: binaryOperatorType.gte, + bool: true, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "0"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "0"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "0"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "y", same: "same" }, + value: [0, "0"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "filter op keeping all series, but with bool", + op: binaryOperatorType.lss, + bool: true, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "1"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "1"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "x", "same"])]: { + groupLabels: { label1: "b", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "3"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "1"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b", "y", "same"])]: { + groupLabels: { label1: "b", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "4"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "y", + same: "same", + }, + value: [0, "40"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "y", same: "same" }, + value: [0, "1"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "exceeding the match group limit", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.oneToOne, + on: false, + include: [], + labels: [], + }, + lhs: testMetricA, + rhs: testMetricB, + limits: { maxGroups: 2 }, + result: { + groups: { + [fnv1a(["a", "x", "same"])]: { + groupLabels: { label1: "a", label2: "x", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "1"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "-9"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["a", "y", "same"])]: { + groupLabels: { label1: "a", label2: "y", same: "same" }, + lhs: [ + { + metric: { + __name__: "metric_a", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "2"], + }, + ], + lhsCount: 1, + rhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "y", + same: "same", + }, + value: [0, "20"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "y", same: "same" }, + value: [0, "-18"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 4, + }, + }, + { + desc: "exceeding the per-group series limit", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.manyToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricB, + rhs: testMetricC, + limits: { maxSeriesPerGroup: 1 }, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "-90"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + [fnv1a(["b"])]: { + groupLabels: { label1: "b" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "b", + label2: "x", + same: "same", + }, + value: [0, "30"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "b" }, + value: [0, "200"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "b", label2: "x", same: "same" }, + value: [0, "-170"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 2, + }, + }, + { + desc: "exceeding both group limit and per-group series limit", + op: binaryOperatorType.sub, + matching: { + card: vectorMatchCardinality.manyToOne, + on: true, + include: [], + labels: ["label1"], + }, + lhs: testMetricB, + rhs: testMetricC, + limits: { maxGroups: 1, maxSeriesPerGroup: 1 }, + result: { + groups: { + [fnv1a(["a"])]: { + groupLabels: { label1: "a" }, + lhs: [ + { + metric: { + __name__: "metric_b", + label1: "a", + label2: "x", + same: "same", + }, + value: [0, "10"], + }, + ], + lhsCount: 2, + rhs: [ + { + metric: { __name__: "metric_c", label1: "a" }, + value: [0, "100"], + }, + ], + rhsCount: 1, + result: [ + { + sample: { + metric: { label1: "a", label2: "x", same: "same" }, + value: [0, "-90"], + }, + manySideIdx: 0, + }, + ], + error: null, + }, + }, + numGroups: 2, + }, + }, +]; + +describe("binOp", () => { + describe("resultMetric", () => { + it("should drop metric name for operations that change meaning", () => { + const lhs: Metric = { __name__: "metric_a", label1: "value1" }; + const rhs: Metric = { __name__: "metric_b", label2: "value2" }; + const op = binaryOperatorType.add; + const matching = { + card: vectorMatchCardinality.oneToMany, + on: true, + labels: ["label1"], + include: [], + }; + + const result = resultMetric(lhs, rhs, op, matching); + + expect(result.__name__).toBeUndefined(); + expect(result["label1"]).toEqual("value1"); + }); + + it("should keep only on labels for 1:1 matching", () => { + const lhs: Metric = { + __name__: "metric_a", + label1: "value1", + label2: "value2", + }; + const rhs: Metric = { + __name__: "metric_b", + label1: "value1", + label3: "value3", + }; + const op = binaryOperatorType.add; + const matching = { + card: vectorMatchCardinality.oneToOne, + on: true, + labels: ["label1"], + include: [], + }; + + const result = resultMetric(lhs, rhs, op, matching); + + expect(result).toEqual({ label1: "value1" }); + }); + + it("should include extra labels from RHS mentioned in group_x", () => { + const lhs: Metric = { __name__: "metric_a", label1: "value1" }; + const rhs: Metric = { + __name__: "metric_b", + label1: "value1", + label2: "value2", + }; + const op = binaryOperatorType.add; + const matching = { + card: vectorMatchCardinality.oneToMany, + on: true, + labels: ["label1"], + include: ["label2"], + }; + + const result = resultMetric(lhs, rhs, op, matching); + + expect(result).toEqual({ + label1: "value1", + label2: "value2", + }); + }); + }); + + describe("computeVectorVectorBinOp", () => { + testCases.forEach((tc) => { + it(tc.desc, () => { + expect( + computeVectorVectorBinOp( + tc.op, + tc.matching, + !!tc.bool, + tc.lhs, + tc.rhs, + tc.limits + ) + ).toEqual(tc.result); + }); + }); + }); +}); diff --git a/web/ui/mantine-ui/src/promql/binOp.ts b/web/ui/mantine-ui/src/promql/binOp.ts new file mode 100644 index 000000000..17b52ac1e --- /dev/null +++ b/web/ui/mantine-ui/src/promql/binOp.ts @@ -0,0 +1,419 @@ +import { InstantSample, Metric } from "../api/responseTypes/query"; +import { + formatPrometheusFloat, + parsePrometheusFloat, +} from "../lib/formatFloatValue"; +import { + binaryOperatorType, + vectorMatchCardinality, + VectorMatching, +} from "./ast"; +import { isComparisonOperator } from "./utils"; + +// We use a special (otherwise invalid) sample value to indicate that +// a sample has been filtered away by a comparison operator. +export const filteredSampleValue = "filtered"; + +export enum MatchErrorType { + multipleMatchesForOneToOneMatching = "multipleMatchesForOneToOneMatching", + multipleMatchesOnBothSides = "multipleMatchesOnBothSides", + multipleMatchesOnOneSide = "multipleMatchesOnOneSide", +} + +// There's no group_x() modifier, but one of the sides has multiple matches. +export interface MultipleMatchesForOneToOneMatchingError { + type: MatchErrorType.multipleMatchesForOneToOneMatching; + dupeSide: "left" | "right"; +} + +// There's no group_x() modifier and there are multiple matches on both sides. +// This is good to keep as a separate error from MultipleMatchesForOneToOneMatchingError +// because it can't be fixed by adding group_x() but rather by expanding the set of +// matching labels. +export interface MultipleMatchesOnBothSidesError { + type: MatchErrorType.multipleMatchesOnBothSides; +} + +// There's a group_x() modifier, but the "one" side has multiple matches. This could mean +// that either the matching labels are not sufficient or that group_x() is the wrong way around. +export interface MultipleMatchesOnOneSideError { + type: MatchErrorType.multipleMatchesOnOneSide; +} + +export type VectorMatchError = + | MultipleMatchesForOneToOneMatchingError + | MultipleMatchesOnBothSidesError + | MultipleMatchesOnOneSideError; + +// A single match group as produced by a vector-to-vector binary operation, with all of its +// left-hand side and right-hand side series, as well as a result and error, if applicable. +export type BinOpMatchGroup = { + groupLabels: Metric; + rhs: InstantSample[]; + rhsCount: number; // Number of samples before applying limits. + lhs: InstantSample[]; + lhsCount: number; // Number of samples before applying limits. + result: { + sample: InstantSample; + // Which "many"-side sample did this sample come from? This is needed for use cases where + // we want to style the corresponding "many" side input sample and the result sample in + // a similar way (e.g. shading them in the same color) to be able to trace which "many" + // side sample a result sample came from. + manySideIdx: number; + }[]; + error: VectorMatchError | null; +}; + +// The result of computeVectorVectorBinOp(), modeling the match groups produced by a +// vector-to-vector binary operation. +export type BinOpMatchGroups = { + [sig: string]: BinOpMatchGroup; +}; + +export type BinOpResult = { + groups: BinOpMatchGroups; + // Can differ from the number of returned groups if a limit was applied. + numGroups: number; +}; + +// FNV-1a hash parameters. +const FNV_PRIME = 0x01000193; +const OFFSET_BASIS = 0x811c9dc5; +const SEP = "\uD800".charCodeAt(0); // Using a Unicode "high surrogate" code point as a separator. These should not appear by themselves (without a low surrogate pairing) in a valid Unicode string. + +// Compute an FNV-1a hash over a given set of values in order to +// produce a signature for a match group. +export const fnv1a = (values: string[]): string => { + let h = OFFSET_BASIS; + for (let i = 0; i < values.length; i++) { + // Skip labels that are not set on the metric. + if (values[i] !== undefined) { + for (let c = 0; c < values[i].length; c++) { + h ^= values[i].charCodeAt(c); + h *= FNV_PRIME; + } + } + + if (i < values.length - 1) { + h ^= SEP; + h *= FNV_PRIME; + } + } + return h.toString(); +}; + +// Return a function that generates the match group signature for a given label set. +const signatureFunc = (on: boolean, names: string[]) => { + names.sort(); + + if (on) { + return (lset: Metric): string => { + return fnv1a(names.map((ln: string) => lset[ln])); + }; + } + + return (lset: Metric): string => + fnv1a( + Object.keys(lset) + .filter((ln) => !names.includes(ln) && ln !== "__name__") + .map((ln) => lset[ln]) + ); +}; + +// For a given metric, return only the labels used for matching. +const matchLabels = (metric: Metric, on: boolean, labels: string[]): Metric => { + const result: Metric = {}; + for (const name in metric) { + if (labels.includes(name) === on && (on || name !== "__name__")) { + result[name] = metric[name]; + } + } + return result; +}; + +export const scalarBinOp = ( + op: binaryOperatorType, + lhs: number, + rhs: number +): number => { + const { value, keep } = vectorElemBinop(op, lhs, rhs); + if (isComparisonOperator(op)) { + return Number(keep); + } + + return value; +}; + +export const vectorElemBinop = ( + op: binaryOperatorType, + lhs: number, + rhs: number +): { value: number; keep: boolean } => { + switch (op) { + case binaryOperatorType.add: + return { value: lhs + rhs, keep: true }; + case binaryOperatorType.sub: + return { value: lhs - rhs, keep: true }; + case binaryOperatorType.mul: + return { value: lhs * rhs, keep: true }; + case binaryOperatorType.div: + return { value: lhs / rhs, keep: true }; + case binaryOperatorType.pow: + return { value: Math.pow(lhs, rhs), keep: true }; + case binaryOperatorType.mod: + return { value: lhs % rhs, keep: true }; + case binaryOperatorType.eql: + return { value: lhs, keep: lhs === rhs }; + case binaryOperatorType.neq: + return { value: lhs, keep: lhs !== rhs }; + case binaryOperatorType.gtr: + return { value: lhs, keep: lhs > rhs }; + case binaryOperatorType.lss: + return { value: lhs, keep: lhs < rhs }; + case binaryOperatorType.gte: + return { value: lhs, keep: lhs >= rhs }; + case binaryOperatorType.lte: + return { value: lhs, keep: lhs <= rhs }; + case binaryOperatorType.atan2: + return { value: Math.atan2(lhs, rhs), keep: true }; + default: + throw new Error("invalid binop"); + } +}; + +// Operations that change the metric's original meaning should drop the metric name from the result. +const shouldDropMetricName = (op: binaryOperatorType): boolean => + [ + binaryOperatorType.add, + binaryOperatorType.sub, + binaryOperatorType.mul, + binaryOperatorType.div, + binaryOperatorType.pow, + binaryOperatorType.mod, + binaryOperatorType.atan2, + ].includes(op); + +// Compute the time series labels for the result metric. +export const resultMetric = ( + lhs: Metric, + rhs: Metric, + op: binaryOperatorType, + matching: VectorMatching +): Metric => { + const result: Metric = {}; + + // Start out with all labels from the LHS. + for (const name in lhs) { + result[name] = lhs[name]; + } + + // Drop metric name for operations that change the metric's meaning. + if (shouldDropMetricName(op)) { + delete result.__name__; + } + + // Keep only match group labels for 1:1 matches. + if (matching.card === vectorMatchCardinality.oneToOne) { + if (matching.on) { + // Drop all labels that are not in the "on" clause. + for (const name in result) { + if (!matching.labels.includes(name)) { + delete result[name]; + } + } + } else { + // Drop all labels that are in the "ignoring" clause. + for (const name of matching.labels) { + delete result[name]; + } + } + } + + // Include extra labels from the RHS that were mentioned in a group_x(...) modifier. + matching.include.forEach((name) => { + if (name in rhs) { + result[name] = rhs[name]; + } else { + // If we are trying to include a label from the "one" side that is not actually set there, + // we need to make sure that we don't accidentally take its value from the "many" side + // if it exists there. + // + // Example to provoke this case: + // + // up == on(job, instance) group_left(__name__) node_exporter_build_info*1 + delete result[name]; + } + }); + + return result; +}; + +// Compute the match groups and results for each match group for a binary operator between two vectors. +// In the error case, the match groups are still populated and returned, but the error field is set for +// the respective group. Results are not populated for error cases, since especially in the case of a +// many-to-many matching, the cross-product output can become prohibitively expensive. +export const computeVectorVectorBinOp = ( + op: binaryOperatorType, + matching: VectorMatching, + bool: boolean, + lhs: InstantSample[], + rhs: InstantSample[], + limits?: { + maxGroups?: number; + maxSeriesPerGroup?: number; + } +): BinOpResult => { + // For the simplification of further calculations, we assume that the "one" side of a one-to-many match + // is always the right-hand side of the binop and swap otherwise to ensure this. We swap back in the end. + [lhs, rhs] = + matching.card === vectorMatchCardinality.oneToMany + ? [rhs, lhs] + : [lhs, rhs]; + + const groups: BinOpMatchGroups = {}; + const sigf = signatureFunc(matching.on, matching.labels); + + // While we only use this set to compute a count of limited groups in the end, we can encounter each + // group multiple times (since multiple series can map to the same group). So we need to use a set + // to track which groups we've already counted. + const outOfLimitGroups = new Set(); + + // Add all RHS samples to the grouping map. + rhs.forEach((rs) => { + const sig = sigf(rs.metric); + + if (!(sig in groups)) { + if (limits?.maxGroups && Object.keys(groups).length >= limits.maxGroups) { + outOfLimitGroups.add(sig); + return; + } + + groups[sig] = { + groupLabels: matchLabels(rs.metric, matching.on, matching.labels), + lhs: [], + lhsCount: 0, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }; + } + + if ( + !limits?.maxSeriesPerGroup || + groups[sig].rhsCount < limits.maxSeriesPerGroup + ) { + groups[sig].rhs.push(rs); + } + groups[sig].rhsCount++; + }); + + // Add all LHS samples to the grouping map. + lhs.forEach((ls) => { + const sig = sigf(ls.metric); + + if (!(sig in groups)) { + if (limits?.maxGroups && Object.keys(groups).length >= limits.maxGroups) { + outOfLimitGroups.add(sig); + return; + } + + groups[sig] = { + groupLabels: matchLabels(ls.metric, matching.on, matching.labels), + lhs: [], + lhsCount: 0, + rhs: [], + rhsCount: 0, + result: [], + error: null, + }; + } + + if ( + !limits?.maxSeriesPerGroup || + groups[sig].lhsCount < limits.maxSeriesPerGroup + ) { + groups[sig].lhs.push(ls); + } + groups[sig].lhsCount++; + }); + + // Annotate the match groups with errors (if any) and populate the results. + Object.values(groups).forEach((mg) => { + if (matching.card === vectorMatchCardinality.oneToOne) { + if (mg.lhs.length > 1 && mg.rhs.length > 1) { + mg.error = { type: MatchErrorType.multipleMatchesOnBothSides }; + } else if (mg.lhs.length > 1 || mg.rhs.length > 1) { + mg.error = { + type: MatchErrorType.multipleMatchesForOneToOneMatching, + dupeSide: mg.lhs.length > 1 ? "left" : "right", + }; + } + } else if (mg.rhs.length > 1) { + // Check for dupes on the "one" side in one-to-many or many-to-one matching. + mg.error = { + type: MatchErrorType.multipleMatchesOnOneSide, + }; + } + + if (mg.error) { + // We don't populate results for error cases, as especially in the case of a + // many-to-many matching, the cross-product output can become expensive, + // and the LHS/RHS are sufficient to diagnose the matching problem. + return; + } + + // Calculate the results for this match group. + mg.rhs.forEach((rs) => { + mg.lhs.forEach((ls, lIdx) => { + if (!ls.value || !rs.value) { + // TODO: Implement native histogram support. + throw new Error("native histogram support not implemented yet"); + } + + const [vl, vr] = + matching.card !== vectorMatchCardinality.oneToMany + ? [ls.value[1], rs.value[1]] + : [rs.value[1], ls.value[1]]; + let { value, keep } = vectorElemBinop( + op, + parsePrometheusFloat(vl), + parsePrometheusFloat(vr) + ); + + const metric = resultMetric(ls.metric, rs.metric, op, matching); + if (bool) { + value = keep ? 1.0 : 0.0; + delete metric.__name__; + } + + mg.result.push({ + sample: { + metric: metric, + value: [ + ls.value[0], + keep || bool ? formatPrometheusFloat(value) : filteredSampleValue, + ], + }, + manySideIdx: lIdx, + }); + }); + }); + }); + + // If we originally swapped the LHS and RHS, swap them back to the original order. + if (matching.card === vectorMatchCardinality.oneToMany) { + Object.keys(groups).forEach((sig) => { + [groups[sig].lhs, groups[sig].rhs] = [groups[sig].rhs, groups[sig].lhs]; + [groups[sig].lhsCount, groups[sig].rhsCount] = [ + groups[sig].rhsCount, + groups[sig].lhsCount, + ]; + }); + } + + return { + groups, + numGroups: Object.keys(groups).length + outOfLimitGroups.size, + }; +}; diff --git a/web/ui/mantine-ui/src/promql/cmd/gen_functions_docs/main.go b/web/ui/mantine-ui/src/promql/cmd/gen_functions_docs/main.go new file mode 100644 index 000000000..89545c1e5 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/cmd/gen_functions_docs/main.go @@ -0,0 +1,140 @@ +// Copyright 2022 The Prometheus Authors +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package main + +import ( + "bufio" + "fmt" + "io" + "log" + "net/http" + "sort" + "strings" + + "github.com/grafana/regexp" + "github.com/russross/blackfriday/v2" +) + +var funcDocsRe = regexp.MustCompile("^## `(.+)\\(\\)`\n$|^## (Trigonometric Functions)\n$") + +func main() { + resp, err := http.Get("https://raw.githubusercontent.com/prometheus/prometheus/master/docs/querying/functions.md") + if err != nil { + log.Fatalln("Failed to fetch function docs:", err) + } + if resp.StatusCode != 200 { + log.Fatalln("Bad status code while fetching function docs:", resp.Status) + } + + funcDocs := map[string]string{} + + r := bufio.NewReader(resp.Body) + currentFunc := "" + currentDocs := "" + + saveCurrent := func() { + switch currentFunc { + case "_over_time": + for _, fn := range []string{ + "avg_over_time", + "min_over_time", + "max_over_time", + "sum_over_time", + "count_over_time", + "quantile_over_time", + "stddev_over_time", + "stdvar_over_time", + "last_over_time", + "present_over_time", + "mad_over_time", + } { + funcDocs[fn] = currentDocs + } + case "Trigonometric Functions": + for _, fn := range []string{ + "acos", + "acosh", + "asin", + "asinh", + "atan", + "atanh", + "cos", + "cosh", + "sin", + "sinh", + "tan", + "tanh", + "deg", + "pi", + "rad", + } { + funcDocs[fn] = currentDocs + } + default: + funcDocs[currentFunc] = currentDocs + } + } + + for { + line, err := r.ReadString('\n') + if err != nil { + if err == io.EOF { + saveCurrent() + break + } + log.Fatalln("Error reading response body:", err) + } + + matches := funcDocsRe.FindStringSubmatch(line) + if len(matches) > 0 { + if currentFunc != "" { + saveCurrent() + } + currentDocs = "" + + currentFunc = string(matches[1]) + if matches[2] != "" { + // This is the case for "## Trigonometric Functions" + currentFunc = matches[2] + } + } else { + currentDocs += line + } + } + + fmt.Println("import React from 'react';") + fmt.Println("") + fmt.Println("const funcDocs: Record = {") + + funcNames := make([]string, 0, len(funcDocs)) + for k := range funcDocs { + funcNames = append(funcNames, k) + } + sort.Strings(funcNames) + for _, fn := range funcNames { + // Translate: + // { ===> {'{'} + // } ===> {'}'} + // + // TODO: Make this set of conflicting string replacements less hacky. + jsxEscapedDocs := strings.ReplaceAll(funcDocs[fn], "{", `__LEFT_BRACE__'{'__RIGHT_BRACE__`) + jsxEscapedDocs = strings.ReplaceAll(jsxEscapedDocs, "}", `__LEFT_BRACE__'}'__RIGHT_BRACE__`) + jsxEscapedDocs = strings.ReplaceAll(jsxEscapedDocs, "__LEFT_BRACE__", "{") + jsxEscapedDocs = strings.ReplaceAll(jsxEscapedDocs, "__RIGHT_BRACE__", "}") + fmt.Printf(" '%s': <>%s,\n", fn, string(blackfriday.Run([]byte(jsxEscapedDocs)))) + } + fmt.Println("};") + fmt.Println("") + fmt.Println("export default funcDocs;") +} diff --git a/web/ui/mantine-ui/src/promql/cmd/gen_functions_list/main.go b/web/ui/mantine-ui/src/promql/cmd/gen_functions_list/main.go new file mode 100644 index 000000000..f479b6d36 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/cmd/gen_functions_list/main.go @@ -0,0 +1,50 @@ +// Copyright 2022 The Prometheus Authors +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package main + +import ( + "fmt" + "sort" + "strings" + + "github.com/prometheus/prometheus/promql/parser" +) + +func formatValueType(vt parser.ValueType) string { + return "valueType." + string(vt) +} + +func formatValueTypes(vts []parser.ValueType) string { + fmtVts := make([]string, 0, len(vts)) + for _, vt := range vts { + fmtVts = append(fmtVts, formatValueType(vt)) + } + return strings.Join(fmtVts, ", ") +} + +func main() { + fnNames := make([]string, 0, len(parser.Functions)) + for name := range parser.Functions { + fnNames = append(fnNames, name) + } + sort.Strings(fnNames) + fmt.Println(`import { valueType, Func } from './ast'; + + export const functionSignatures: Record = {`) + for _, fnName := range fnNames { + fn := parser.Functions[fnName] + fmt.Printf(" %s: { name: '%s', argTypes: [%s], variadic: %d, returnType: %s },\n", fn.Name, fn.Name, formatValueTypes(fn.ArgTypes), fn.Variadic, formatValueType(fn.ReturnType)) + } + fmt.Println("}") +} diff --git a/web/ui/mantine-ui/src/promql/format.tsx b/web/ui/mantine-ui/src/promql/format.tsx new file mode 100644 index 000000000..05dd7d410 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/format.tsx @@ -0,0 +1,322 @@ +import React, { ReactElement, ReactNode } from "react"; +import ASTNode, { + VectorSelector, + matchType, + vectorMatchCardinality, + nodeType, + StartOrEnd, + MatrixSelector, +} from "./ast"; +import { formatPrometheusDuration } from "../lib/formatTime"; +import { maybeParenthesizeBinopChild, escapeString } from "./utils"; + +export const labelNameList = (labels: string[]): React.ReactNode[] => { + return labels.map((l, i) => { + return ( + + {i !== 0 && ", "} + {l} + + ); + }); +}; + +const formatAtAndOffset = ( + timestamp: number | null, + startOrEnd: StartOrEnd, + offset: number +): ReactNode => ( + <> + {timestamp !== null ? ( + <> + {" "} + @{" "} + {(timestamp / 1000).toFixed(3)} + + ) : startOrEnd !== null ? ( + <> + {" "} + @{" "} + {startOrEnd} + ( + ) + + ) : ( + <> + )} + {offset === 0 ? ( + <> + ) : offset > 0 ? ( + <> + {" "} + offset{" "} + + {formatPrometheusDuration(offset)} + + + ) : ( + <> + {" "} + offset{" "} + + -{formatPrometheusDuration(-offset)} + + + )} + +); + +const formatSelector = ( + node: VectorSelector | MatrixSelector +): ReactElement => { + const matchLabels = node.matchers + .filter( + (m) => + !( + m.name === "__name__" && + m.type === matchType.equal && + m.value === node.name + ) + ) + .map((m, i) => ( + + {i !== 0 && ","} + {m.name} + {m.type} + "{escapeString(m.value)}" + + )); + + return ( + <> + {node.name} + {matchLabels.length > 0 && ( + <> + {"{"} + {matchLabels} + {"}"} + + )} + {node.type === nodeType.matrixSelector && ( + <> + [ + + {formatPrometheusDuration(node.range)} + + ] + + )} + {formatAtAndOffset(node.timestamp, node.startOrEnd, node.offset)} + + ); +}; + +const ellipsis = …; + +const formatNodeInternal = ( + node: ASTNode, + showChildren: boolean, + maxDepth?: number +): React.ReactNode => { + if (maxDepth === 0) { + return ellipsis; + } + + const childMaxDepth = maxDepth === undefined ? undefined : maxDepth - 1; + + switch (node.type) { + case nodeType.aggregation: + return ( + <> + {node.op} + {node.without ? ( + <> + {" "} + without + ( + {labelNameList(node.grouping)} + ){" "} + + ) : ( + node.grouping.length > 0 && ( + <> + {" "} + by + ( + {labelNameList(node.grouping)} + ){" "} + + ) + )} + {showChildren && ( + <> + ( + {node.param !== null && ( + <>{formatNode(node.param, showChildren, childMaxDepth)}, + )} + {formatNode(node.expr, showChildren, childMaxDepth)} + ) + + )} + + ); + case nodeType.subquery: + return ( + <> + {showChildren && formatNode(node.expr, showChildren, childMaxDepth)}[ + + {formatPrometheusDuration(node.range)} + + : + {node.step !== 0 && ( + + {formatPrometheusDuration(node.step)} + + )} + ]{formatAtAndOffset(node.timestamp, node.startOrEnd, node.offset)} + + ); + case nodeType.parenExpr: + return ( + <> + ( + {showChildren && formatNode(node.expr, showChildren, childMaxDepth)} + ) + + ); + case nodeType.call: { + const children = + childMaxDepth === undefined || childMaxDepth > 0 + ? node.args.map((arg, i) => ( + + {i !== 0 && ", "} + {formatNode(arg, showChildren)} + + )) + : node.args.length > 0 + ? ellipsis + : ""; + + return ( + <> + {node.func.name} + {showChildren && ( + <> + ( + {children} + ) + + )} + + ); + } + case nodeType.matrixSelector: + return formatSelector(node); + case nodeType.vectorSelector: + return formatSelector(node); + case nodeType.numberLiteral: + return {node.val}; + case nodeType.stringLiteral: + return "{escapeString(node.val)}"; + case nodeType.unaryExpr: + return ( + <> + {node.op} + {showChildren && formatNode(node.expr, showChildren, childMaxDepth)} + + ); + case nodeType.binaryExpr: { + let matching = <>; + let grouping = <>; + const vm = node.matching; + if (vm !== null && (vm.labels.length > 0 || vm.on)) { + if (vm.on) { + matching = ( + <> + {" "} + on + ( + {labelNameList(vm.labels)} + ) + + ); + } else { + matching = ( + <> + {" "} + ignoring + ( + {labelNameList(vm.labels)} + ) + + ); + } + + if ( + vm.card === vectorMatchCardinality.manyToOne || + vm.card === vectorMatchCardinality.oneToMany + ) { + grouping = ( + <> + + {" "} + group_ + {vm.card === vectorMatchCardinality.manyToOne + ? "left" + : "right"} + + ( + {labelNameList(vm.include)} + ) + + ); + } + } + + return ( + <> + {showChildren && + formatNode( + maybeParenthesizeBinopChild(node.op, node.lhs), + showChildren, + childMaxDepth + )}{" "} + {["atan2", "and", "or", "unless"].includes(node.op) ? ( + {node.op} + ) : ( + {node.op} + )} + {node.bool && ( + <> + {" "} + bool + + )} + {matching} + {grouping}{" "} + {showChildren && + formatNode( + maybeParenthesizeBinopChild(node.op, node.rhs), + showChildren, + childMaxDepth + )} + + ); + } + case nodeType.placeholder: + // TODO: Include possible children of placeholders somehow? + return ellipsis; + default: + throw new Error("unsupported node type"); + } +}; + +export const formatNode = ( + node: ASTNode, + showChildren: boolean, + maxDepth?: number +): React.ReactElement => ( + + {formatNodeInternal(node, showChildren, maxDepth)} + +); diff --git a/web/ui/mantine-ui/src/promql/functionDocs.tsx b/web/ui/mantine-ui/src/promql/functionDocs.tsx new file mode 100644 index 000000000..36c081e86 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/functionDocs.tsx @@ -0,0 +1,2736 @@ +import React from 'react'; + +const funcDocs: Record = { + abs: ( + <> +

+ abs(v instant-vector) returns the input vector with all sample values converted to their absolute value. +

+ + ), + absent: ( + <> +

+ absent(v instant-vector) returns an empty vector if the vector passed to it has any elements (floats or + native histograms) and a 1-element vector with the value 1 if the vector passed to it has no elements. +

+ +

This is useful for alerting on when no time series exist for a given metric name and label combination.

+ + 
+        
+          absent(nonexistent{'{'}job="myjob"{'}'}) # => {'{'}job="myjob"{'}'}
+          absent(nonexistent{'{'}job="myjob",instance=~".*"{'}'}) # => {'{'}job="myjob"{'}'}
+          absent(sum(nonexistent{'{'}job="myjob"{'}'})) # => {'{'}
+          {'}'}
+        
+
+ +

+ In the first two examples, absent() tries to be smart about deriving labels of the 1-element output + vector from the input vector. +

+ + ), + absent_over_time: ( + <> +

+ absent_over_time(v range-vector) returns an empty vector if the range vector passed to it has any + elements (floats or native histograms) and a 1-element vector with the value 1 if the range vector passed to it has + no elements. +

+ +

+ This is useful for alerting on when no time series exist for a given metric name and label combination for a certain + amount of time. +

+ + 
+        
+          absent_over_time(nonexistent{'{'}job="myjob"{'}'}[1h]) # => {'{'}job="myjob"{'}'}
+          absent_over_time(nonexistent{'{'}job="myjob",instance=~".*"{'}'}[1h]) # => {'{'}
+          job="myjob"{'}'}
+          absent_over_time(sum(nonexistent{'{'}job="myjob"{'}'})[1h:]) # => {'{'}
+          {'}'}
+        
+
+ +

+ In the first two examples, absent_over_time() tries to be smart about deriving labels of the 1-element + output vector from the input vector. +

+ + ), + acos: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + acosh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + asin: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + asinh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + atan: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + atanh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + avg_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + ceil: ( + <> +

+ ceil(v instant-vector) rounds the sample values of all elements in v up to the nearest + integer value greater than or equal to v. +

+ +
    +
  • + ceil(+Inf) = +Inf +
    • +
  • + ceil(±0) = ±0 +
    • +
  • + ceil(1.49) = 2.0 +
    • +
  • + ceil(1.78) = 2.0 +
    • +
+ + ), + changes: ( + <> +

+ For each input time series, changes(v range-vector) returns the number of times its value has changed + within the provided time range as an instant vector. +

+ + ), + clamp: ( + <> +

+ clamp(v instant-vector, min scalar, max scalar) + clamps the sample values of all elements in v to have a lower limit of min and an upper + limit of max. +

+ +

Special cases:

+ +
    +
  • + Return an empty vector if min > max +
    • +
  • + Return NaN if min or max is NaN +
    • +
+ + ), + clamp_max: ( + <> +

+ clamp_max(v instant-vector, max scalar) clamps the sample values of all elements in v to + have an upper limit of max. +

+ + ), + clamp_min: ( + <> +

+ clamp_min(v instant-vector, min scalar) clamps the sample values of all elements in v to + have a lower limit of min. +

+ + ), + cos: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + cosh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + count_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + day_of_month: ( + <> +

+ day_of_month(v=vector(time()) instant-vector) returns the day of the month for each of the given times + in UTC. Returned values are from 1 to 31. +

+ + ), + day_of_week: ( + <> +

+ day_of_week(v=vector(time()) instant-vector) returns the day of the week for each of the given times in + UTC. Returned values are from 0 to 6, where 0 means Sunday etc. +

+ + ), + day_of_year: ( + <> +

+ day_of_year(v=vector(time()) instant-vector) returns the day of the year for each of the given times in + UTC. Returned values are from 1 to 365 for non-leap years, and 1 to 366 in leap years. +

+ + ), + days_in_month: ( + <> +

+ days_in_month(v=vector(time()) instant-vector) returns number of days in the month for each of the given + times in UTC. Returned values are from 28 to 31. +

+ + ), + deg: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + delta: ( + <> +

+ delta(v range-vector) calculates the difference between the first and last value of each time series + element in a range vector v, returning an instant vector with the given deltas and equivalent labels. + The delta is extrapolated to cover the full time range as specified in the range vector selector, so that it is + possible to get a non-integer result even if the sample values are all integers. +

+ +

The following example expression returns the difference in CPU temperature between now and 2 hours ago:

+ + 
+        
+          delta(cpu_temp_celsius{'{'}host="zeus"{'}'}[2h])
+        
+
+ +

+ delta acts on native histograms by calculating a new histogram where each component (sum and count of + observations, buckets) is the difference between the respective component in the first and last native histogram in + v. However, each element in v that contains a mix of float and native histogram samples + within the range, will be missing from the result vector. +

+ +

+ delta should only be used with gauges and native histograms where the components behave like gauges + (so-called gauge histograms). +

+ + ), + deriv: ( + <> +

+ deriv(v range-vector) calculates the per-second derivative of the time series in a range vector{' '} + v, using simple linear regression. + The range vector must have at least two samples in order to perform the calculation. When +Inf or + -Inf are found in the range vector, the slope and offset value calculated will be NaN. +

+ +

+ deriv should only be used with gauges. +

+ + ), + exp: ( + <> +

+ exp(v instant-vector) calculates the exponential function for all elements in v. Special + cases are: +

+ +
    +
  • + Exp(+Inf) = +Inf +
    • +
  • + Exp(NaN) = NaN +
    • +
+ + ), + floor: ( + <> +

+ floor(v instant-vector) rounds the sample values of all elements in v down to the nearest + integer value smaller than or equal to v. +

+ +
    +
  • + floor(+Inf) = +Inf +
    • +
  • + floor(±0) = ±0 +
    • +
  • + floor(1.49) = 1.0 +
    • +
  • + floor(1.78) = 1.0 +
    • +
+ + ), + histogram_avg: ( + <> +

+ + This function only acts on native histograms, which are an experimental feature. The behavior of this function may + change in future versions of Prometheus, including its removal from PromQL. + +

+ +

+ histogram_avg(v instant-vector) returns the arithmetic average of observed values stored in a native + histogram. Samples that are not native histograms are ignored and do not show up in the returned vector. +

+ +

+ Use histogram_avg as demonstrated below to compute the average request duration over a 5-minute window + from a native histogram: +

+ + 
+        histogram_avg(rate(http_request_duration_seconds[5m]))
+
+ +

Which is equivalent to the following query:

+ + 
+        
+          {' '}
+          histogram_sum(rate(http_request_duration_seconds[5m])) / histogram_count(rate(http_request_duration_seconds[5m]))
+        
+
+ + ), + 'histogram_count()` and `histogram_sum': ( + <> +

+ + Both functions only act on native histograms, which are an experimental feature. The behavior of these functions + may change in future versions of Prometheus, including their removal from PromQL. + +

+ +

+ histogram_count(v instant-vector) returns the count of observations stored in a native histogram. + Samples that are not native histograms are ignored and do not show up in the returned vector. +

+ +

+ Similarly, histogram_sum(v instant-vector) returns the sum of observations stored in a native histogram. +

+ +

+ Use histogram_count in the following way to calculate a rate of observations (in this case corresponding + to “requests per second”) from a native histogram: +

+ + 
+        histogram_count(rate(http_request_duration_seconds[10m]))
+
+ + ), + histogram_fraction: ( + <> +

+ + This function only acts on native histograms, which are an experimental feature. The behavior of this function may + change in future versions of Prometheus, including its removal from PromQL. + +

+ +

+ For a native histogram, histogram_fraction(lower scalar, upper scalar, v instant-vector) returns the + estimated fraction of observations between the provided lower and upper values. Samples that are not native + histograms are ignored and do not show up in the returned vector. +

+ +

+ For example, the following expression calculates the fraction of HTTP requests over the last hour that took 200ms or + less: +

+ + 
+        histogram_fraction(0, 0.2, rate(http_request_duration_seconds[1h]))
+
+ +

+ The error of the estimation depends on the resolution of the underlying native histogram and how closely the provided + boundaries are aligned with the bucket boundaries in the histogram. +

+ +

+ +Inf and -Inf are valid boundary values. For example, if the histogram in the expression + above included negative observations (which shouldn’t be the case for request durations), the appropriate lower + boundary to include all observations less than or equal 0.2 would be -Inf rather than 0. +

+ +

+ Whether the provided boundaries are inclusive or exclusive is only relevant if the provided boundaries are precisely + aligned with bucket boundaries in the underlying native histogram. In this case, the behavior depends on the schema + definition of the histogram. The currently supported schemas all feature inclusive upper boundaries and exclusive + lower boundaries for positive values (and vice versa for negative values). Without a precise alignment of boundaries, + the function uses linear interpolation to estimate the fraction. With the resulting uncertainty, it becomes + irrelevant if the boundaries are inclusive or exclusive. +

+ + ), + histogram_quantile: ( + <> +

+ histogram_quantile(φ scalar, b instant-vector) calculates the φ-quantile (0 ≤ φ ≤ 1) from a{' '} + classic histogram or from a native + histogram. (See histograms and summaries for a detailed + explanation of φ-quantiles and the usage of the (classic) histogram metric type in general.) +

+ +

+ + Note that native histograms are an experimental feature. The behavior of this function when dealing with native + histograms may change in future versions of Prometheus. + +

+ +

+ The float samples in b are considered the counts of observations in each bucket of one or more classic + histograms. Each float sample must have a label + le where the label value denotes the inclusive upper bound of the bucket. (Float samples without such a + label are silently ignored.) The other labels and the metric name are used to identify the buckets belonging to each + classic histogram. The{' '} + histogram metric type + automatically provides time series with the _bucket suffix and the appropriate labels. +

+ +

+ The native histogram samples in b are treated each individually as a separate histogram to calculate the + quantile from. +

+ +

+ As long as no naming collisions arise, b may contain a mix of classic and native histograms. +

+ +

+ Use the rate() function to specify the time window for the quantile calculation. +

+ +

+ Example: A histogram metric is called http_request_duration_seconds (and therefore the metric name for + the buckets of a classic histogram is + http_request_duration_seconds_bucket). To calculate the 90th percentile of request durations over the + last 10m, use the following expression in case + http_request_duration_seconds is a classic histogram: +

+ + 
+        histogram_quantile(0.9, rate(http_request_duration_seconds_bucket[10m]))
+
+ +

For a native histogram, use the following expression instead:

+ + 
+        histogram_quantile(0.9, rate(http_request_duration_seconds[10m]))
+
+ +

+ The quantile is calculated for each label combination in + http_request_duration_seconds. To aggregate, use the sum() aggregator around the{' '} + rate() function. Since the le label is required by + histogram_quantile() to deal with classic histograms, it has to be included in the by{' '} + clause. The following expression aggregates the 90th percentile by job for classic histograms: +

+ + 
+        histogram_quantile(0.9, sum by (job, le) (rate(http_request_duration_seconds_bucket[10m])))
+
+ +

When aggregating native histograms, the expression simplifies to:

+ + 
+        histogram_quantile(0.9, sum by (job) (rate(http_request_duration_seconds[10m])))
+
+ +

+ To aggregate all classic histograms, specify only the le label: +

+ + 
+        histogram_quantile(0.9, sum by (le) (rate(http_request_duration_seconds_bucket[10m])))
+
+ +

+ With native histograms, aggregating everything works as usual without any by clause: +

+ + 
+        histogram_quantile(0.9, sum(rate(http_request_duration_seconds[10m])))
+
+ +

+ The histogram_quantile() function interpolates quantile values by assuming a linear distribution within + a bucket. +

+ +

+ If b has 0 observations, NaN is returned. For φ < 0, -Inf is returned. For + φ > 1, +Inf is returned. For φ = NaN, NaN is returned. +

+ +

+ The following is only relevant for classic histograms: If b contains fewer than two buckets,{' '} + NaN is returned. The highest bucket must have an upper bound of +Inf. (Otherwise,{' '} + NaN is returned.) If a quantile is located in the highest bucket, the upper bound of the second highest + bucket is returned. A lower limit of the lowest bucket is assumed to be 0 if the upper bound of that bucket is + greater than 0. In that case, the usual linear interpolation is applied within that bucket. Otherwise, the upper + bound of the lowest bucket is returned for quantiles located in the lowest bucket. +

+ +

+ You can use histogram_quantile(0, v instant-vector) to get the estimated minimum value stored in a + histogram. +

+ +

+ You can use histogram_quantile(1, v instant-vector) to get the estimated maximum value stored in a + histogram. +

+ +

Buckets of classic histograms are cumulative. Therefore, the following should always be the case:

+ +
    +
  • The counts in the buckets are monotonically increasing (strictly non-decreasing).
    • +
  • + A lack of observations between the upper limits of two consecutive buckets results in equal counts in those two + buckets. +
    • +
+ +

+ However, floating point precision issues (e.g. small discrepancies introduced by computing of buckets with{' '} + sum(rate(...))) or invalid data might violate these assumptions. In that case, + histogram_quantile would be unable to return meaningful results. To mitigate the issue, + histogram_quantile assumes that tiny relative differences between consecutive buckets are happening + because of floating point precision errors and ignores them. (The threshold to ignore a difference between two + buckets is a trillionth (1e-12) of the sum of both buckets.) Furthermore, if there are non-monotonic bucket counts + even after this adjustment, they are increased to the value of the previous buckets to enforce monotonicity. The + latter is evidence for an actual issue with the input data and is therefore flagged with an informational annotation + reading input to histogram_quantile needed to be fixed for monotonicity. If you encounter this + annotation, you should find and remove the source of the invalid data. +

+ + ), + 'histogram_stddev()` and `histogram_stdvar': ( + <> +

+ + Both functions only act on native histograms, which are an experimental feature. The behavior of these functions + may change in future versions of Prometheus, including their removal from PromQL. + +

+ +

+ histogram_stddev(v instant-vector) returns the estimated standard deviation of observations in a native + histogram, based on the geometric mean of the buckets where the observations lie. Samples that are not native + histograms are ignored and do not show up in the returned vector. +

+ +

+ Similarly, histogram_stdvar(v instant-vector) returns the estimated standard variance of observations in + a native histogram. +

+ + ), + holt_winters: ( + <> +

+ holt_winters(v range-vector, sf scalar, tf scalar) produces a smoothed value for time series based on + the range in v. The lower the smoothing factor sf, the more importance is given to old + data. The higher the trend factor tf, the more trends in the data is considered. Both sf{' '} + and tf must be between 0 and 1. +

+ +

+ holt_winters should only be used with gauges. +

+ + ), + hour: ( + <> +

+ hour(v=vector(time()) instant-vector) returns the hour of the day for each of the given times in UTC. + Returned values are from 0 to 23. +

+ + ), + idelta: ( + <> +

+ idelta(v range-vector) calculates the difference between the last two samples in the range vector{' '} + v, returning an instant vector with the given deltas and equivalent labels. +

+ +

+ idelta should only be used with gauges. +

+ + ), + increase: ( + <> +

+ increase(v range-vector) calculates the increase in the time series in the range vector. Breaks in + monotonicity (such as counter resets due to target restarts) are automatically adjusted for. The increase is + extrapolated to cover the full time range as specified in the range vector selector, so that it is possible to get a + non-integer result even if a counter increases only by integer increments. +

+ +

+ The following example expression returns the number of HTTP requests as measured over the last 5 minutes, per time + series in the range vector: +

+ + 
+        
+          increase(http_requests_total{'{'}job="api-server"{'}'}[5m])
+        
+
+ +

+ increase acts on native histograms by calculating a new histogram where each component (sum and count of + observations, buckets) is the increase between the respective component in the first and last native histogram in + v. However, each element in v that contains a mix of float and native histogram samples + within the range, will be missing from the result vector. +

+ +

+ increase should only be used with counters and native histograms where the components behave like + counters. It is syntactic sugar for rate(v) multiplied by the number of seconds under the specified time + range window, and should be used primarily for human readability. Use rate in recording rules so that + increases are tracked consistently on a per-second basis. +

+ + ), + irate: ( + <> +

+ irate(v range-vector) calculates the per-second instant rate of increase of the time series in the range + vector. This is based on the last two data points. Breaks in monotonicity (such as counter resets due to target + restarts) are automatically adjusted for. +

+ +

+ The following example expression returns the per-second rate of HTTP requests looking up to 5 minutes back for the + two most recent data points, per time series in the range vector: +

+ + 
+        
+          irate(http_requests_total{'{'}job="api-server"{'}'}[5m])
+        
+
+ +

+ irate should only be used when graphing volatile, fast-moving counters. Use rate for alerts + and slow-moving counters, as brief changes in the rate can reset the FOR clause and graphs consisting + entirely of rare spikes are hard to read. +

+ +

+ Note that when combining irate() with an + aggregation operator (e.g. sum()) or a function + aggregating over time (any function ending in _over_time), always take a irate() first, + then aggregate. Otherwise irate() cannot detect counter resets when your target restarts. +

+ + ), + label_join: ( + <> +

+ For each timeseries in v,{' '} + + label_join(v instant-vector, dst_label string, separator string, src_label_1 string, src_label_2 string, ...) + {' '} + joins all the values of all the src_labels + using separator and returns the timeseries with the label dst_label containing the joined + value. There can be any number of src_labels in this function. +

+ +

+ label_join acts on float and histogram samples in the same way. +

+ +

+ This example will return a vector with each time series having a foo label with the value{' '} + a,b,c added to it: +

+ + 
+        
+          label_join(up{'{'}job="api-server",src1="a",src2="b",src3="c"{'}'},
+          "foo", ",", "src1", "src2", "src3")
+        
+
+ + ), + label_replace: ( + <> +

+ For each timeseries in v,{' '} + label_replace(v instant-vector, dst_label string, replacement string, src_label string, regex string) + matches the regular expression regex against the + value of the label src_label. If it matches, the value of the label dst_label in the + returned timeseries will be the expansion of replacement, together with the original labels in the + input. Capturing groups in the regular expression can be referenced with $1, $2, etc. Named + capturing groups in the regular expression can be referenced with $name (where name is the + capturing group name). If the regular expression doesn’t match then the timeseries is returned unchanged. +

+ +

+ label_replace acts on float and histogram samples in the same way. +

+ +

+ This example will return timeseries with the values a:c at label service and a{' '} + at label foo: +

+ + 
+        
+          label_replace(up{'{'}job="api-server",service="a:c"{'}'}, "foo", "$1",
+          "service", "(.*):.*")
+        
+
+ +

This second example has the same effect than the first example, and illustrates use of named capturing groups:

+ + 
+        
+          label_replace(up{'{'}job="api-server",service="a:c"{'}'}, "foo", "$name",
+          "service", "(?P<name>.*):(?P<version>.*)")
+        
+
+ + ), + last_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + ln: ( + <> +

+ ln(v instant-vector) calculates the natural logarithm for all elements in v. Special cases + are: +

+ +
    +
  • + ln(+Inf) = +Inf +
    • +
  • + ln(0) = -Inf +
    • +
  • + ln(x < 0) = NaN +
    • +
  • + ln(NaN) = NaN +
    • +
+ + ), + log10: ( + <> +

+ log10(v instant-vector) calculates the decimal logarithm for all elements in v. The special + cases are equivalent to those in ln. +

+ + ), + log2: ( + <> +

+ log2(v instant-vector) calculates the binary logarithm for all elements in v. The special + cases are equivalent to those in ln. +

+ + ), + mad_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + max_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + min_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + minute: ( + <> +

+ minute(v=vector(time()) instant-vector) returns the minute of the hour for each of the given times in + UTC. Returned values are from 0 to 59. +

+ + ), + month: ( + <> +

+ month(v=vector(time()) instant-vector) returns the month of the year for each of the given times in UTC. + Returned values are from 1 to 12, where 1 means January etc. +

+ + ), + pi: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + predict_linear: ( + <> +

+ predict_linear(v range-vector, t scalar) predicts the value of time series + t seconds from now, based on the range vector v, using{' '} + simple linear regression. The range vector must + have at least two samples in order to perform the calculation. When +Inf or -Inf are found + in the range vector, the slope and offset value calculated will be NaN. +

+ +

+ predict_linear should only be used with gauges. +

+ + ), + present_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + quantile_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + rad: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + rate: ( + <> +

+ rate(v range-vector) calculates the per-second average rate of increase of the time series in the range + vector. Breaks in monotonicity (such as counter resets due to target restarts) are automatically adjusted for. Also, + the calculation extrapolates to the ends of the time range, allowing for missed scrapes or imperfect alignment of + scrape cycles with the range’s time period. +

+ +

+ The following example expression returns the per-second rate of HTTP requests as measured over the last 5 minutes, + per time series in the range vector: +

+ + 
+        
+          rate(http_requests_total{'{'}job="api-server"{'}'}[5m])
+        
+
+ +

+ rate acts on native histograms by calculating a new histogram where each component (sum and count of + observations, buckets) is the rate of increase between the respective component in the first and last native + histogram in + v. However, each element in v that contains a mix of float and native histogram samples + within the range, will be missing from the result vector. +

+ +

+ rate should only be used with counters and native histograms where the components behave like counters. + It is best suited for alerting, and for graphing of slow-moving counters. +

+ +

+ Note that when combining rate() with an aggregation operator (e.g. sum()) or a function + aggregating over time (any function ending in _over_time), always take a rate() first, then + aggregate. Otherwise rate() cannot detect counter resets when your target restarts. +

+ + ), + resets: ( + <> +

+ For each input time series, resets(v range-vector) returns the number of counter resets within the + provided time range as an instant vector. Any decrease in the value between two consecutive float samples is + interpreted as a counter reset. A reset in a native histogram is detected in a more complex way: Any decrease in any + bucket, including the zero bucket, or in the count of observation constitutes a counter reset, but also the + disappearance of any previously populated bucket, an increase in bucket resolution, or a decrease of the zero-bucket + width. +

+ +

+ resets should only be used with counters and counter-like native histograms. +

+ +

+ If the range vector contains a mix of float and histogram samples for the same series, counter resets are detected + separately and their numbers added up. The change from a float to a histogram sample is not considered a + counter reset. Each float sample is compared to the next float sample, and each histogram is comprared to the next + histogram. +

+ + ), + round: ( + <> +

+ round(v instant-vector, to_nearest=1 scalar) rounds the sample values of all elements in v{' '} + to the nearest integer. Ties are resolved by rounding up. The optional to_nearest argument allows + specifying the nearest multiple to which the sample values should be rounded. This multiple may also be a fraction. +

+ + ), + scalar: ( + <> +

+ Given a single-element input vector, scalar(v instant-vector) returns the sample value of that single + element as a scalar. If the input vector does not have exactly one element, scalar will return{' '} + NaN. +

+ + ), + sgn: ( + <> +

+ sgn(v instant-vector) returns a vector with all sample values converted to their sign, defined as this: + 1 if v is positive, -1 if v is negative and 0 if v is equal to zero. +

+ + ), + sin: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + sinh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + sort: ( + <> +

+ sort(v instant-vector) returns vector elements sorted by their sample values, in ascending order. Native + histograms are sorted by their sum of observations. +

+ +

+ Please note that sort only affects the results of instant queries, as range query results always have a + fixed output ordering. +

+ + ), + sort_by_label: ( + <> +

+ + This function has to be enabled via the{' '} + feature flag{' '} + --enable-feature=promql-experimental-functions. + +

+ +

+ sort_by_label(v instant-vector, label string, ...) returns vector elements sorted by the values of the + given labels in ascending order. In case these label values are equal, elements are sorted by their full label sets. +

+ +

+ Please note that the sort by label functions only affect the results of instant queries, as range query results + always have a fixed output ordering. +

+ +

+ This function uses natural sort order. +

+ + ), + sort_by_label_desc: ( + <> +

+ + This function has to be enabled via the{' '} + feature flag{' '} + --enable-feature=promql-experimental-functions. + +

+ +

+ Same as sort_by_label, but sorts in descending order. +

+ +

+ Please note that the sort by label functions only affect the results of instant queries, as range query results + always have a fixed output ordering. +

+ +

+ This function uses natural sort order. +

+ + ), + sort_desc: ( + <> +

+ Same as sort, but sorts in descending order. +

+ +

+ Like sort, sort_desc only affects the results of instant queries, as range query results + always have a fixed output ordering. +

+ + ), + sqrt: ( + <> +

+ sqrt(v instant-vector) calculates the square root of all elements in v. +

+ + ), + stddev_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + stdvar_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + sum_over_time: ( + <> +

+ The following functions allow aggregating each series of a given range vector over time and return an instant vector + with per-series aggregation results: +

+ +
    +
  • + avg_over_time(range-vector): the average value of all points in the specified interval. +
    • +
  • + min_over_time(range-vector): the minimum value of all points in the specified interval. +
    • +
  • + max_over_time(range-vector): the maximum value of all points in the specified interval. +
    • +
  • + sum_over_time(range-vector): the sum of all values in the specified interval. +
    • +
  • + count_over_time(range-vector): the count of all values in the specified interval. +
    • +
  • + quantile_over_time(scalar, range-vector): the φ-quantile (0 ≤ φ ≤ 1) of the values in the specified + interval. +
    • +
  • + stddev_over_time(range-vector): the population standard deviation of the values in the specified + interval. +
    • +
  • + stdvar_over_time(range-vector): the population standard variance of the values in the specified + interval. +
    • +
  • + last_over_time(range-vector): the most recent point value in the specified interval. +
    • +
  • + present_over_time(range-vector): the value 1 for any series in the specified interval. +
    • +
+ +

+ If the feature flag + --enable-feature=promql-experimental-functions is set, the following additional functions are available: +

+ +
    +
  • + mad_over_time(range-vector): the median absolute deviation of all points in the specified interval. +
    • +
+ +

+ Note that all values in the specified interval have the same weight in the aggregation even if the values are not + equally spaced throughout the interval. +

+ +

+ avg_over_time, sum_over_time, count_over_time, last_over_time, + and + present_over_time handle native histograms as expected. All other functions ignore histogram samples. +

+ + ), + tan: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + tanh: ( + <> +

The trigonometric functions work in radians:

+ +
    +
  • + acos(v instant-vector): calculates the arccosine of all elements in v ( + special cases). +
    • +
  • + acosh(v instant-vector): calculates the inverse hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + asin(v instant-vector): calculates the arcsine of all elements in v ( + special cases). +
    • +
  • + asinh(v instant-vector): calculates the inverse hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + atan(v instant-vector): calculates the arctangent of all elements in v ( + special cases). +
    • +
  • + atanh(v instant-vector): calculates the inverse hyperbolic tangent of all elements in v ( + special cases). +
    • +
  • + cos(v instant-vector): calculates the cosine of all elements in v ( + special cases). +
    • +
  • + cosh(v instant-vector): calculates the hyperbolic cosine of all elements in v ( + special cases). +
    • +
  • + sin(v instant-vector): calculates the sine of all elements in v ( + special cases). +
    • +
  • + sinh(v instant-vector): calculates the hyperbolic sine of all elements in v ( + special cases). +
    • +
  • + tan(v instant-vector): calculates the tangent of all elements in v ( + special cases). +
    • +
  • + tanh(v instant-vector): calculates the hyperbolic tangent of all elements in v ( + special cases). +
    • +
+ +

The following are useful for converting between degrees and radians:

+ +
    +
  • + deg(v instant-vector): converts radians to degrees for all elements in v. +
    • +
  • + pi(): returns pi. +
    • +
  • + rad(v instant-vector): converts degrees to radians for all elements in v. +
    • +
+ + ), + time: ( + <> +

+ time() returns the number of seconds since January 1, 1970 UTC. Note that this does not actually return + the current time, but the time at which the expression is to be evaluated. +

+ + ), + timestamp: ( + <> +

+ timestamp(v instant-vector) returns the timestamp of each of the samples of the given vector as the + number of seconds since January 1, 1970 UTC. It also works with histogram samples. +

+ + ), + vector: ( + <> +

+ vector(s scalar) returns the scalar s as a vector with no labels. +

+ + ), + year: ( + <> +

+ year(v=vector(time()) instant-vector) returns the year for each of the given times in UTC. +

+ + ), +}; + +export default funcDocs; diff --git a/web/ui/mantine-ui/src/promql/functionMeta.ts b/web/ui/mantine-ui/src/promql/functionMeta.ts new file mode 100644 index 000000000..631c86e2d --- /dev/null +++ b/web/ui/mantine-ui/src/promql/functionMeta.ts @@ -0,0 +1,103 @@ +export const functionArgNames: Record = { + // abs: ['value'], + // absent: [], + // absent_over_time: [], + // avg_over_time: [], + // ceil: [], + // changes: [], + clamp: ['input series', 'min', 'max'], + // clamp_max: [], + // clamp_min: [], + // count_over_time: [], + day_of_month: ['timestamp (default = vector(time()))'], + day_of_week: ['timestamp (default = vector(time()))'], + days_in_month: ['timestamp (default = vector(time()))'], + // delta: [], + // deriv: [], + // exp: [], + // floor: [], + histogram_quantile: ['target quantile', 'histogram'], + holt_winters: ['input series', 'smoothing factor', 'trend factor'], + hour: ['timestamp (default = vector(time()))'], + // idelta: [], + // increase: [], + // irate: [], + label_join: ['series', 'destination label', 'separator', 'source label'], + label_replace: ['input series', 'destination label', 'replacement', 'source label', 'regex'], + // ln: [], + // log10: [], + // log2: [], + // max_over_time: [], + // min_over_time: [], + minute: ['timestamp (default = vector(time()))'], + month: ['timestamp (default = vector(time()))'], + predict_linear: ['input series', 'duration from now [s]'], + quantile_over_time: ['target quantile', 'input series'], + // rate: [], + // resets: [], + round: ['input series', 'to nearest (default = 1)'], + // scalar: [], + // sort: [], + // sort_desc: [], + // sqrt: [], + // stddev_over_time: [], + // stdvar_over_time: [], + // sum_over_time: [], + // time: [], + // timestamp: [], + // vector: [], + year: ['timestamp (default = vector(time()))'], +}; + +export const functionDescriptions: Record = { + abs: 'return absolute values of input series', + absent: 'determine whether input vector is empty', + absent_over_time: 'determine whether input range vector is empty', + avg_over_time: 'average series values over time', + ceil: 'round up values of input series to nearest integer', + changes: 'return number of value changes in input series over time', + clamp: 'limit the value of input series to a certain range', + clamp_max: 'limit the value of input series to a maximum', + clamp_min: 'limit the value of input series to a minimum', + count_over_time: 'count the number of values for each input series', + day_of_month: 'return the day of the month for provided timestamps', + day_of_week: 'return the day of the week for provided timestamps', + days_in_month: 'return the number of days in current month for provided timestamps', + delta: 'calculate the difference between beginning and end of a range vector (for gauges)', + deriv: 'calculate the per-second derivative over series in a range vector (for gauges)', + exp: 'calculate exponential function for input vector values', + floor: 'round down values of input series to nearest integer', + histogram_quantile: 'calculate quantiles from histogram buckets', + holt_winters: 'calculate smoothed value of input series', + hour: 'return the hour of the day for provided timestamps', + idelta: 'calculate the difference between the last two samples of a range vector (for counters)', + increase: 'calculate the increase in value over a range of time (for counters)', + irate: 'calculate the per-second increase over the last two samples of a range vector (for counters)', + label_join: 'join together label values into new label', + label_replace: 'set or replace label values', + last_over_time: 'get the last sample value from a time range', + ln: 'calculate natural logarithm of input series', + log10: 'calulcate base-10 logarithm of input series', + log2: 'calculate base-2 logarithm of input series', + max_over_time: 'return the maximum value over time for input series', + min_over_time: 'return the minimum value over time for input series', + minute: 'return the minute of the hour for provided timestamps', + month: 'return the month for provided timestamps', + predict_linear: 'predict the value of a gauge into the future', + quantile_over_time: 'calculate value quantiles over time for input series', + rate: 'calculate per-second increase over a range vector (for counters)', + resets: 'return number of value decreases (resets) in input series of time', + round: 'round values of input series to nearest integer', + scalar: 'convert single-element series vector into scalar value', + sgn: 'return the sign of the input value (-1, 0, or 1)', + sort: 'sort input series ascendingly by value', + sort_desc: 'sort input series descendingly by value', + sqrt: 'return the square root for input series', + stddev_over_time: 'calculate the standard deviation within input series over time', + stdvar_over_time: 'calculate the standard variation within input series over time', + sum_over_time: 'calculate the sum over the values of input series over time', + time: 'return the Unix timestamp at the current evaluation time', + timestamp: 'return the Unix timestamp for the samples in the input vector', + vector: 'convert a scalar value into a single-element series vector', + year: 'return the year for provided timestamps', +}; diff --git a/web/ui/mantine-ui/src/promql/functionSignatures.ts b/web/ui/mantine-ui/src/promql/functionSignatures.ts new file mode 100644 index 000000000..9f5b61742 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/functionSignatures.ts @@ -0,0 +1,140 @@ +import { valueType, Func } from './ast'; + +export const functionSignatures: Record = { + abs: { name: 'abs', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + absent: { name: 'absent', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + absent_over_time: { name: 'absent_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + acos: { name: 'acos', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + acosh: { name: 'acosh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + asin: { name: 'asin', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + asinh: { name: 'asinh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + atan: { name: 'atan', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + atanh: { name: 'atanh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + avg_over_time: { name: 'avg_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + ceil: { name: 'ceil', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + changes: { name: 'changes', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + clamp: { + name: 'clamp', + argTypes: [valueType.vector, valueType.scalar, valueType.scalar], + variadic: 0, + returnType: valueType.vector, + }, + clamp_max: { + name: 'clamp_max', + argTypes: [valueType.vector, valueType.scalar], + variadic: 0, + returnType: valueType.vector, + }, + clamp_min: { + name: 'clamp_min', + argTypes: [valueType.vector, valueType.scalar], + variadic: 0, + returnType: valueType.vector, + }, + cos: { name: 'cos', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + cosh: { name: 'cosh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + count_over_time: { name: 'count_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + day_of_month: { name: 'day_of_month', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + day_of_week: { name: 'day_of_week', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + day_of_year: { name: 'day_of_year', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + days_in_month: { name: 'days_in_month', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + deg: { name: 'deg', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + delta: { name: 'delta', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + deriv: { name: 'deriv', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + exp: { name: 'exp', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + floor: { name: 'floor', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + histogram_avg: { name: 'histogram_avg', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + histogram_count: { name: 'histogram_count', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + histogram_fraction: { + name: 'histogram_fraction', + argTypes: [valueType.scalar, valueType.scalar, valueType.vector], + variadic: 0, + returnType: valueType.vector, + }, + histogram_quantile: { + name: 'histogram_quantile', + argTypes: [valueType.scalar, valueType.vector], + variadic: 0, + returnType: valueType.vector, + }, + histogram_stddev: { name: 'histogram_stddev', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + histogram_stdvar: { name: 'histogram_stdvar', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + histogram_sum: { name: 'histogram_sum', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + holt_winters: { + name: 'holt_winters', + argTypes: [valueType.matrix, valueType.scalar, valueType.scalar], + variadic: 0, + returnType: valueType.vector, + }, + hour: { name: 'hour', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + idelta: { name: 'idelta', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + increase: { name: 'increase', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + irate: { name: 'irate', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + label_join: { + name: 'label_join', + argTypes: [valueType.vector, valueType.string, valueType.string, valueType.string], + variadic: -1, + returnType: valueType.vector, + }, + label_replace: { + name: 'label_replace', + argTypes: [valueType.vector, valueType.string, valueType.string, valueType.string, valueType.string], + variadic: 0, + returnType: valueType.vector, + }, + last_over_time: { name: 'last_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + ln: { name: 'ln', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + log10: { name: 'log10', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + log2: { name: 'log2', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + mad_over_time: { name: 'mad_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + max_over_time: { name: 'max_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + min_over_time: { name: 'min_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + minute: { name: 'minute', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + month: { name: 'month', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, + pi: { name: 'pi', argTypes: [], variadic: 0, returnType: valueType.scalar }, + predict_linear: { + name: 'predict_linear', + argTypes: [valueType.matrix, valueType.scalar], + variadic: 0, + returnType: valueType.vector, + }, + present_over_time: { name: 'present_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + quantile_over_time: { + name: 'quantile_over_time', + argTypes: [valueType.scalar, valueType.matrix], + variadic: 0, + returnType: valueType.vector, + }, + rad: { name: 'rad', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + rate: { name: 'rate', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + resets: { name: 'resets', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + round: { name: 'round', argTypes: [valueType.vector, valueType.scalar], variadic: 1, returnType: valueType.vector }, + scalar: { name: 'scalar', argTypes: [valueType.vector], variadic: 0, returnType: valueType.scalar }, + sgn: { name: 'sgn', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + sin: { name: 'sin', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + sinh: { name: 'sinh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + sort: { name: 'sort', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + sort_by_label: { + name: 'sort_by_label', + argTypes: [valueType.vector, valueType.string], + variadic: -1, + returnType: valueType.vector, + }, + sort_by_label_desc: { + name: 'sort_by_label_desc', + argTypes: [valueType.vector, valueType.string], + variadic: -1, + returnType: valueType.vector, + }, + sort_desc: { name: 'sort_desc', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + sqrt: { name: 'sqrt', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + stddev_over_time: { name: 'stddev_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + stdvar_over_time: { name: 'stdvar_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + sum_over_time: { name: 'sum_over_time', argTypes: [valueType.matrix], variadic: 0, returnType: valueType.vector }, + tan: { name: 'tan', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + tanh: { name: 'tanh', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + time: { name: 'time', argTypes: [], variadic: 0, returnType: valueType.scalar }, + timestamp: { name: 'timestamp', argTypes: [valueType.vector], variadic: 0, returnType: valueType.vector }, + vector: { name: 'vector', argTypes: [valueType.scalar], variadic: 0, returnType: valueType.vector }, + year: { name: 'year', argTypes: [valueType.vector], variadic: 1, returnType: valueType.vector }, +}; diff --git a/web/ui/mantine-ui/src/promql/serialize.ts b/web/ui/mantine-ui/src/promql/serialize.ts new file mode 100644 index 000000000..af9c6ef15 --- /dev/null +++ b/web/ui/mantine-ui/src/promql/serialize.ts @@ -0,0 +1,160 @@ +import { formatPrometheusDuration } from "../lib/formatTime"; +import ASTNode, { + VectorSelector, + matchType, + vectorMatchCardinality, + nodeType, + StartOrEnd, + MatrixSelector, +} from "./ast"; +import { + aggregatorsWithParam, + maybeParenthesizeBinopChild, + escapeString, +} from "./utils"; + +const serializeAtAndOffset = ( + timestamp: number | null, + startOrEnd: StartOrEnd, + offset: number +): string => + `${timestamp !== null ? ` @ ${(timestamp / 1000).toFixed(3)}` : startOrEnd !== null ? ` @ ${startOrEnd}()` : ""}${ + offset === 0 + ? "" + : offset > 0 + ? ` offset ${formatPrometheusDuration(offset)}` + : ` offset -${formatPrometheusDuration(-offset)}` + }`; + +const serializeSelector = (node: VectorSelector | MatrixSelector): string => { + const matchers = node.matchers + .filter( + (m) => + !( + m.name === "__name__" && + m.type === matchType.equal && + m.value === node.name + ) + ) + .map((m) => `${m.name}${m.type}"${escapeString(m.value)}"`); + + const range = + node.type === nodeType.matrixSelector + ? `[${formatPrometheusDuration(node.range)}]` + : ""; + const atAndOffset = serializeAtAndOffset( + node.timestamp, + node.startOrEnd, + node.offset + ); + + return `${node.name}${matchers.length > 0 ? `{${matchers.join(",")}}` : ""}${range}${atAndOffset}`; +}; + +const serializeNode = ( + node: ASTNode, + indent = 0, + pretty = false, + initialIndent = true +): string => { + const childListSeparator = pretty ? "\n" : ""; + const childSeparator = pretty ? "\n" : " "; + const childIndent = indent + 2; + const ind = pretty ? " ".repeat(indent) : ""; + // Needed for unary operators. + const initialInd = initialIndent ? ind : ""; + + switch (node.type) { + case nodeType.aggregation: + return `${initialInd}${node.op}${ + node.without + ? ` without(${node.grouping.join(", ")}) ` + : node.grouping.length > 0 + ? ` by(${node.grouping.join(", ")}) ` + : "" + }(${childListSeparator}${ + aggregatorsWithParam.includes(node.op) && node.param !== null + ? `${serializeNode(node.param, childIndent, pretty)},${childSeparator}` + : "" + }${serializeNode(node.expr, childIndent, pretty)}${childListSeparator}${ind})`; + + case nodeType.subquery: + return `${initialInd}${serializeNode(node.expr, indent, pretty)}[${formatPrometheusDuration(node.range)}:${ + node.step !== 0 ? formatPrometheusDuration(node.step) : "" + }]${serializeAtAndOffset(node.timestamp, node.startOrEnd, node.offset)}`; + + case nodeType.parenExpr: + return `${initialInd}(${childListSeparator}${serializeNode( + node.expr, + childIndent, + pretty + )}${childListSeparator}${ind})`; + + case nodeType.call: { + const sep = node.args.length > 0 ? childListSeparator : ""; + + return `${initialInd}${node.func.name}(${sep}${node.args + .map((arg) => serializeNode(arg, childIndent, pretty)) + .join("," + childSeparator)}${sep}${node.args.length > 0 ? ind : ""})`; + } + + case nodeType.matrixSelector: + return `${initialInd}${serializeSelector(node)}`; + + case nodeType.vectorSelector: + return `${initialInd}${serializeSelector(node)}`; + + case nodeType.numberLiteral: + return `${initialInd}${node.val}`; + + case nodeType.stringLiteral: + return `${initialInd}"${escapeString(node.val)}"`; + + case nodeType.unaryExpr: + return `${initialInd}${node.op}${serializeNode(node.expr, indent, pretty, false)}`; + + case nodeType.binaryExpr: { + let matching = ""; + let grouping = ""; + const vm = node.matching; + if (vm !== null && (vm.labels.length > 0 || vm.on)) { + if (vm.on) { + matching = ` on(${vm.labels.join(", ")})`; + } else { + matching = ` ignoring(${vm.labels.join(", ")})`; + } + + if ( + vm.card === vectorMatchCardinality.manyToOne || + vm.card === vectorMatchCardinality.oneToMany + ) { + grouping = ` group_${vm.card === vectorMatchCardinality.manyToOne ? "left" : "right"}(${vm.include.join(",")})`; + } + } + + return `${serializeNode(maybeParenthesizeBinopChild(node.op, node.lhs), childIndent, pretty)}${childSeparator}${ind}${ + node.op + }${node.bool ? " bool" : ""}${matching}${grouping}${childSeparator}${serializeNode( + maybeParenthesizeBinopChild(node.op, node.rhs), + childIndent, + pretty + )}`; + } + + case nodeType.placeholder: + // TODO: Should we just throw an error when trying to serialize an AST containing a placeholder node? + // (that would currently break editing-as-text of ASTs that contain placeholders) + return `${initialInd}…${ + node.children.length > 0 + ? `(${childListSeparator}${node.children + .map((child) => serializeNode(child, childIndent, pretty)) + .join("," + childSeparator)}${childListSeparator}${ind})` + : "" + }`; + + default: + throw new Error("unsupported node type"); + } +}; + +export default serializeNode; diff --git a/web/ui/mantine-ui/src/promql/serializeAndFormat.test.ts b/web/ui/mantine-ui/src/promql/serializeAndFormat.test.ts new file mode 100644 index 000000000..ea045612c --- /dev/null +++ b/web/ui/mantine-ui/src/promql/serializeAndFormat.test.ts @@ -0,0 +1,657 @@ +import { describe, expect, it } from "vitest"; +import serializeNode from "./serialize"; +import ASTNode, { + nodeType, + matchType, + aggregationType, + unaryOperatorType, + binaryOperatorType, + vectorMatchCardinality, +} from "./ast"; +import { functionSignatures } from "./functionSignatures"; +import { formatNode } from "./format"; +import { render } from "@testing-library/react"; + +describe("serializeNode and formatNode", () => { + it("should serialize correctly", () => { + const tests: { node: ASTNode; output: string; prettyOutput?: string }[] = [ + // Vector selectors. + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + output: "metric_name", + }, + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [ + { type: matchType.equal, name: "label1", value: "value1" }, + { type: matchType.notEqual, name: "label2", value: "value2" }, + { type: matchType.matchRegexp, name: "label3", value: "value3" }, + { type: matchType.matchNotRegexp, name: "label4", value: "value4" }, + ], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + output: + 'metric_name{label1="value1",label2!="value2",label3=~"value3",label4!~"value4"}', + }, + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: 60000, + timestamp: null, + startOrEnd: null, + }, + output: "metric_name offset 1m", + }, + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: -60000, + timestamp: null, + startOrEnd: "start", + }, + output: "metric_name @ start() offset -1m", + }, + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: -60000, + timestamp: null, + startOrEnd: "end", + }, + output: "metric_name @ end() offset -1m", + }, + { + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: -60000, + timestamp: 123000, + startOrEnd: null, + }, + output: "metric_name @ 123.000 offset -1m", + }, + { + node: { + type: nodeType.vectorSelector, + name: "", + matchers: [ + { type: matchType.equal, name: "__name__", value: "metric_name" }, + ], + offset: 60000, + timestamp: null, + startOrEnd: null, + }, + output: '{__name__="metric_name"} offset 1m', + }, + { + // Escaping in label values. + node: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [{ type: matchType.equal, name: "label1", value: '"""' }], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + output: 'metric_name{label1="\\"\\"\\""}', + }, + + // Matrix selectors. + { + node: { + type: nodeType.matrixSelector, + name: "metric_name", + matchers: [ + { type: matchType.equal, name: "label1", value: "value1" }, + { type: matchType.notEqual, name: "label2", value: "value2" }, + { type: matchType.matchRegexp, name: "label3", value: "value3" }, + { type: matchType.matchNotRegexp, name: "label4", value: "value4" }, + ], + range: 300000, + offset: 600000, + timestamp: null, + startOrEnd: null, + }, + output: + 'metric_name{label1="value1",label2!="value2",label3=~"value3",label4!~"value4"}[5m] offset 10m', + }, + { + node: { + type: nodeType.matrixSelector, + name: "metric_name", + matchers: [], + range: 300000, + offset: -600000, + timestamp: 123000, + startOrEnd: null, + }, + output: "metric_name[5m] @ 123.000 offset -10m", + }, + { + node: { + type: nodeType.matrixSelector, + name: "metric_name", + matchers: [], + range: 300000, + offset: -600000, + timestamp: null, + startOrEnd: "start", + }, + output: "metric_name[5m] @ start() offset -10m", + }, + + // Aggregations. + { + node: { + type: nodeType.aggregation, + expr: { type: nodeType.placeholder, children: [] }, + op: aggregationType.sum, + param: null, + grouping: [], + without: false, + }, + output: "sum(…)", + prettyOutput: `sum( + … +)`, + }, + { + node: { + type: nodeType.aggregation, + expr: { type: nodeType.placeholder, children: [] }, + op: aggregationType.topk, + param: { type: nodeType.numberLiteral, val: "3" }, + grouping: [], + without: false, + }, + output: "topk(3, …)", + prettyOutput: `topk( + 3, + … +)`, + }, + { + node: { + type: nodeType.aggregation, + expr: { type: nodeType.placeholder, children: [] }, + op: aggregationType.sum, + param: null, + grouping: [], + without: true, + }, + output: "sum without() (…)", + prettyOutput: `sum without() ( + … +)`, + }, + { + node: { + type: nodeType.aggregation, + expr: { type: nodeType.placeholder, children: [] }, + op: aggregationType.sum, + param: null, + grouping: ["label1", "label2"], + without: false, + }, + output: "sum by(label1, label2) (…)", + prettyOutput: `sum by(label1, label2) ( + … +)`, + }, + { + node: { + type: nodeType.aggregation, + expr: { type: nodeType.placeholder, children: [] }, + op: aggregationType.sum, + param: null, + grouping: ["label1", "label2"], + without: true, + }, + output: "sum without(label1, label2) (…)", + prettyOutput: `sum without(label1, label2) ( + … +)`, + }, + + // Subqueries. + { + node: { + type: nodeType.subquery, + expr: { type: nodeType.placeholder, children: [] }, + range: 300000, + offset: 0, + step: 0, + timestamp: null, + startOrEnd: null, + }, + output: "…[5m:]", + }, + { + node: { + type: nodeType.subquery, + expr: { type: nodeType.placeholder, children: [] }, + range: 300000, + offset: 600000, + step: 60000, + timestamp: null, + startOrEnd: null, + }, + output: "…[5m:1m] offset 10m", + }, + { + node: { + type: nodeType.subquery, + expr: { type: nodeType.placeholder, children: [] }, + range: 300000, + offset: -600000, + step: 60000, + timestamp: 123000, + startOrEnd: null, + }, + output: "…[5m:1m] @ 123.000 offset -10m", + }, + { + node: { + type: nodeType.subquery, + expr: { type: nodeType.placeholder, children: [] }, + range: 300000, + offset: -600000, + step: 60000, + timestamp: null, + startOrEnd: "end", + }, + output: "…[5m:1m] @ end() offset -10m", + }, + { + node: { + type: nodeType.subquery, + expr: { + type: nodeType.call, + func: functionSignatures["rate"], + args: [ + { + type: nodeType.matrixSelector, + range: 600000, + name: "metric_name", + matchers: [], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + ], + }, + range: 300000, + offset: 0, + step: 0, + timestamp: null, + startOrEnd: null, + }, + output: "rate(metric_name[10m])[5m:]", + prettyOutput: `rate( + metric_name[10m] +)[5m:]`, + }, + + // Parentheses. + { + node: { + type: nodeType.parenExpr, + expr: { type: nodeType.placeholder, children: [] }, + }, + output: "(…)", + prettyOutput: `( + … +)`, + }, + + // Call. + { + node: { + type: nodeType.call, + func: functionSignatures["time"], + args: [], + }, + output: "time()", + }, + { + node: { + type: nodeType.call, + func: functionSignatures["rate"], + args: [{ type: nodeType.placeholder, children: [] }], + }, + output: "rate(…)", + prettyOutput: `rate( + … +)`, + }, + { + node: { + type: nodeType.call, + func: functionSignatures["label_join"], + args: [ + { type: nodeType.placeholder, children: [] }, + { type: nodeType.stringLiteral, val: "foo" }, + { type: nodeType.stringLiteral, val: "bar" }, + { type: nodeType.stringLiteral, val: "baz" }, + ], + }, + output: 'label_join(…, "foo", "bar", "baz")', + prettyOutput: `label_join( + …, + "foo", + "bar", + "baz" +)`, + }, + + // Number literals. + { + node: { + type: nodeType.numberLiteral, + val: "1.2345", + }, + output: "1.2345", + }, + + // String literals. + { + node: { + type: nodeType.stringLiteral, + val: 'hello, " world', + }, + output: '"hello, \\" world"', + }, + + // Unary expressions. + { + node: { + type: nodeType.unaryExpr, + expr: { type: nodeType.placeholder, children: [] }, + op: unaryOperatorType.minus, + }, + output: "-…", + prettyOutput: "-…", + }, + { + node: { + type: nodeType.unaryExpr, + expr: { type: nodeType.placeholder, children: [] }, + op: unaryOperatorType.plus, + }, + output: "+…", + prettyOutput: "+…", + }, + { + node: { + type: nodeType.unaryExpr, + expr: { + type: nodeType.parenExpr, + expr: { type: nodeType.placeholder, children: [] }, + }, + op: unaryOperatorType.minus, + }, + output: "-(…)", + prettyOutput: `-( + … +)`, + }, + { + // Nested indentation. + node: { + type: nodeType.unaryExpr, + expr: { + type: nodeType.aggregation, + op: aggregationType.sum, + expr: { + type: nodeType.unaryExpr, + expr: { + type: nodeType.parenExpr, + expr: { type: nodeType.placeholder, children: [] }, + }, + op: unaryOperatorType.minus, + }, + grouping: [], + param: null, + without: false, + }, + op: unaryOperatorType.minus, + }, + output: "-sum(-(…))", + prettyOutput: `-sum( + -( + … + ) +)`, + }, + + // Binary expressions. + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: null, + bool: false, + }, + output: "… + …", + prettyOutput: ` … ++ + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToOne, + labels: [], + on: false, + include: [], + }, + bool: false, + }, + output: "… + …", + prettyOutput: ` … ++ + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToOne, + labels: [], + on: true, + include: [], + }, + bool: false, + }, + output: "… + on() …", + prettyOutput: ` … ++ on() + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToOne, + labels: ["label1", "label2"], + on: true, + include: [], + }, + bool: false, + }, + output: "… + on(label1, label2) …", + prettyOutput: ` … ++ on(label1, label2) + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToOne, + labels: ["label1", "label2"], + on: false, + include: [], + }, + bool: false, + }, + output: "… + ignoring(label1, label2) …", + prettyOutput: ` … ++ ignoring(label1, label2) + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToMany, + labels: ["label1", "label2"], + on: true, + include: [], + }, + bool: false, + }, + output: "… + on(label1, label2) group_right() …", + prettyOutput: ` … ++ on(label1, label2) group_right() + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToMany, + labels: ["label1", "label2"], + on: true, + include: ["label3"], + }, + bool: false, + }, + output: "… + on(label1, label2) group_right(label3) …", + prettyOutput: ` … ++ on(label1, label2) group_right(label3) + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.manyToOne, + labels: ["label1", "label2"], + on: true, + include: [], + }, + bool: false, + }, + output: "… + on(label1, label2) group_left() …", + prettyOutput: ` … ++ on(label1, label2) group_left() + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.manyToOne, + labels: ["label1", "label2"], + on: true, + include: ["label3"], + }, + bool: false, + }, + output: "… + on(label1, label2) group_left(label3) …", + prettyOutput: ` … ++ on(label1, label2) group_left(label3) + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.eql, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: null, + bool: true, + }, + output: "… == bool …", + prettyOutput: ` … +== bool + …`, + }, + { + node: { + type: nodeType.binaryExpr, + op: binaryOperatorType.eql, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: { + card: vectorMatchCardinality.oneToMany, + labels: ["label1", "label2"], + on: true, + include: ["label3"], + }, + bool: true, + }, + output: "… == bool on(label1, label2) group_right(label3) …", + prettyOutput: ` … +== bool on(label1, label2) group_right(label3) + …`, + }, + ]; + + tests.forEach((t) => { + expect(serializeNode(t.node)).toBe(t.output); + expect(serializeNode(t.node, 0, true)).toBe( + t.prettyOutput !== undefined ? t.prettyOutput : t.output + ); + + const { container } = render(formatNode(t.node, true)); + expect(container.textContent).toBe(t.output); + }); + }); +}); diff --git a/web/ui/mantine-ui/src/promql/utils.test.ts b/web/ui/mantine-ui/src/promql/utils.test.ts new file mode 100644 index 000000000..04e28a78f --- /dev/null +++ b/web/ui/mantine-ui/src/promql/utils.test.ts @@ -0,0 +1,155 @@ +import { describe, expect, it } from "vitest"; +import { + getNonParenNodeType, + containsPlaceholders, + nodeValueType, +} from "./utils"; +import { nodeType, valueType, binaryOperatorType } from "./ast"; + +describe("getNonParenNodeType", () => { + it("works for non-paren type", () => { + expect( + getNonParenNodeType({ type: nodeType.numberLiteral, val: "1" }) + ).toBe(nodeType.numberLiteral); + }); + + it("works for single parentheses wrapper", () => { + expect( + getNonParenNodeType({ + type: nodeType.parenExpr, + expr: { + type: nodeType.numberLiteral, + val: "1", + }, + }) + ).toBe(nodeType.numberLiteral); + }); + + it("works for multiple parentheses wrappers", () => { + expect( + getNonParenNodeType({ + type: nodeType.parenExpr, + expr: { + type: nodeType.parenExpr, + expr: { + type: nodeType.parenExpr, + expr: { + type: nodeType.numberLiteral, + val: "1", + }, + }, + }, + }) + ).toBe(nodeType.numberLiteral); + }); +}); + +describe("containsPlaceholders", () => { + it("does not find placeholders in complete expressions", () => { + expect( + containsPlaceholders({ + type: nodeType.parenExpr, + expr: { + type: nodeType.numberLiteral, + val: "1", + }, + }) + ).toBe(false); + }); + + it("finds placeholders at the root", () => { + expect( + containsPlaceholders({ + type: nodeType.placeholder, + children: [], + }) + ).toBe(true); + }); + + it("finds placeholders in nested expressions with placeholders", () => { + expect( + containsPlaceholders({ + type: nodeType.parenExpr, + expr: { + type: nodeType.placeholder, + children: [], + }, + }) + ).toBe(true); + }); +}); + +describe("nodeValueType", () => { + it("works for binary expressions with placeholders", () => { + expect( + nodeValueType({ + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.placeholder, children: [] }, + rhs: { type: nodeType.placeholder, children: [] }, + matching: null, + bool: false, + }) + ).toBeNull(); + }); + + it("works for scalar-scalar binops", () => { + expect( + nodeValueType({ + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { type: nodeType.numberLiteral, val: "1" }, + rhs: { type: nodeType.numberLiteral, val: "1" }, + matching: null, + bool: false, + }) + ).toBe(valueType.scalar); + }); + + it("works for scalar-vector binops", () => { + expect( + nodeValueType({ + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + rhs: { type: nodeType.numberLiteral, val: "1" }, + matching: null, + bool: false, + }) + ).toBe(valueType.vector); + }); + + it("works for vector-vector binops", () => { + expect( + nodeValueType({ + type: nodeType.binaryExpr, + op: binaryOperatorType.add, + lhs: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + rhs: { + type: nodeType.vectorSelector, + name: "metric_name", + matchers: [], + offset: 0, + timestamp: null, + startOrEnd: null, + }, + matching: null, + bool: false, + }) + ).toBe(valueType.vector); + }); +}); diff --git a/web/ui/mantine-ui/src/promql/utils.ts b/web/ui/mantine-ui/src/promql/utils.ts new file mode 100644 index 000000000..a0308b0cf --- /dev/null +++ b/web/ui/mantine-ui/src/promql/utils.ts @@ -0,0 +1,241 @@ +import ASTNode, { binaryOperatorType, nodeType, valueType, Call, compOperatorTypes, setOperatorTypes } from './ast'; +import { functionArgNames } from './functionMeta'; + +export const getNonParenNodeType = (n: ASTNode) => { + let cur: ASTNode; + for (cur = n; cur.type === 'parenExpr'; cur = cur.expr) {} + return cur.type; +}; + +export const isComparisonOperator = (op: binaryOperatorType) => { + return compOperatorTypes.includes(op); +}; + +export const isSetOperator = (op: binaryOperatorType) => { + return setOperatorTypes.includes(op); +}; + +const binOpPrecedence = { + [binaryOperatorType.add]: 3, + [binaryOperatorType.sub]: 3, + [binaryOperatorType.mul]: 2, + [binaryOperatorType.div]: 2, + [binaryOperatorType.mod]: 2, + [binaryOperatorType.pow]: 1, + [binaryOperatorType.eql]: 4, + [binaryOperatorType.neq]: 4, + [binaryOperatorType.gtr]: 4, + [binaryOperatorType.lss]: 4, + [binaryOperatorType.gte]: 4, + [binaryOperatorType.lte]: 4, + [binaryOperatorType.and]: 5, + [binaryOperatorType.or]: 6, + [binaryOperatorType.unless]: 5, + [binaryOperatorType.atan2]: 2, +}; + +export const maybeParenthesizeBinopChild = (op: binaryOperatorType, child: ASTNode): ASTNode => { + if (child.type !== nodeType.binaryExpr) { + return child; + } + + if (binOpPrecedence[op] > binOpPrecedence[child.op]) { + return child; + } + + // TODO: Parens aren't necessary for left-associativity within same precedence, + // or right-associativity between two power operators. + return { + type: nodeType.parenExpr, + expr: child, + }; +}; + +export const getNodeChildren = (node: ASTNode): ASTNode[] => { + switch (node.type) { + case nodeType.aggregation: + return node.param === null ? [node.expr] : [node.param, node.expr]; + case nodeType.subquery: + return [node.expr]; + case nodeType.parenExpr: + return [node.expr]; + case nodeType.call: + return node.args; + case nodeType.matrixSelector: + case nodeType.vectorSelector: + case nodeType.numberLiteral: + case nodeType.stringLiteral: + return []; + case nodeType.placeholder: + return node.children; + case nodeType.unaryExpr: + return [node.expr]; + case nodeType.binaryExpr: + return [node.lhs, node.rhs]; + default: + throw new Error('unsupported node type'); + } +}; + +export const getNodeChild = (node: ASTNode, idx: number) => { + switch (node.type) { + case nodeType.aggregation: + return node.param === null || idx === 1 ? node.expr : node.param; + case nodeType.subquery: + return node.expr; + case nodeType.parenExpr: + return node.expr; + case nodeType.call: + return node.args[idx]; + case nodeType.unaryExpr: + return node.expr; + case nodeType.binaryExpr: + return idx === 0 ? node.lhs : node.rhs; + default: + throw new Error('unsupported node type'); + } +}; + +export const containsPlaceholders = (node: ASTNode): boolean => + node.type === nodeType.placeholder || getNodeChildren(node).some((n) => containsPlaceholders(n)); + +export const nodeValueType = (node: ASTNode): valueType | null => { + switch (node.type) { + case nodeType.aggregation: + return valueType.vector; + case nodeType.binaryExpr: + const childTypes = [nodeValueType(node.lhs), nodeValueType(node.rhs)]; + + if (childTypes.includes(null)) { + // One of the children is or a has a placeholder and thus an undefined type. + return null; + } + + if (childTypes.includes(valueType.vector)) { + return valueType.vector; + } + + return valueType.scalar; + case nodeType.call: + return node.func.returnType; + case nodeType.matrixSelector: + return valueType.matrix; + case nodeType.numberLiteral: + return valueType.scalar; + case nodeType.parenExpr: + return nodeValueType(node.expr); + case nodeType.placeholder: + return null; + case nodeType.stringLiteral: + return valueType.string; + case nodeType.subquery: + return valueType.matrix; + case nodeType.unaryExpr: + return nodeValueType(node.expr); + case nodeType.vectorSelector: + return valueType.vector; + default: + throw new Error('invalid node type'); + } +}; + +export const childDescription = (node: ASTNode, idx: number): string => { + switch (node.type) { + case nodeType.aggregation: + if (aggregatorsWithParam.includes(node.op) && idx === 0) { + switch (node.op) { + case 'topk': + case 'bottomk': + case 'limitk': + return 'k'; + case 'quantile': + return 'quantile'; + case 'count_values': + return 'target label name'; + case 'limit_ratio': + return 'ratio'; + } + } + + return 'vector to aggregate'; + case nodeType.binaryExpr: + return idx === 0 ? 'left-hand side' : 'right-hand side'; + case nodeType.call: + if (functionArgNames.hasOwnProperty(node.func.name)) { + const argNames = functionArgNames[node.func.name]; + return argNames[Math.min(functionArgNames[node.func.name].length - 1, idx)]; + } + return 'argument'; + case nodeType.parenExpr: + return 'expression'; + case nodeType.placeholder: + return 'argument'; + case nodeType.subquery: + return 'subquery to execute'; + case nodeType.unaryExpr: + return 'expression'; + default: + throw new Error('invalid node type'); + } +}; + +export const aggregatorsWithParam = ['topk', 'bottomk', 'quantile', 'count_values', 'limitk', 'limit_ratio']; + +export const anyValueType = [valueType.scalar, valueType.string, valueType.matrix, valueType.vector]; + +export const allowedChildValueTypes = (node: ASTNode, idx: number): valueType[] => { + switch (node.type) { + case nodeType.aggregation: + if (aggregatorsWithParam.includes(node.op) && idx === 0) { + if (node.op === 'count_values') { + return [valueType.string]; + } + return [valueType.scalar]; + } + + return [valueType.vector]; + case nodeType.binaryExpr: + // TODO: Do deeper constraint checking here. + // - Set ops only between vectors. + // - Bools only for filter ops. + // - Advanced: check cardinality. + return [valueType.scalar, valueType.vector]; + case nodeType.call: + return [node.func.argTypes[Math.min(idx, node.func.argTypes.length - 1)]]; + case nodeType.parenExpr: + return anyValueType; + case nodeType.placeholder: + return anyValueType; + case nodeType.subquery: + return [valueType.vector]; + case nodeType.unaryExpr: + return anyValueType; + default: + throw new Error('invalid node type'); + } +}; + +export const canAddVarArg = (node: Call): boolean => { + if (node.func.variadic === -1) { + return true; + } + + // TODO: Only works for 1 vararg, but PromQL only has functions with either 1 (not 2, 3, ...) or unlimited (-1) varargs in practice, so this is fine for now. + return node.args.length < node.func.argTypes.length; +}; + +export const canRemoveVarArg = (node: Call): boolean => { + return node.func.variadic !== 0 && node.args.length >= node.func.argTypes.length; +}; + +export const humanizedValueType: Record = { + [valueType.none]: 'none', + [valueType.string]: 'string', + [valueType.scalar]: 'number (scalar)', + [valueType.vector]: 'instant vector', + [valueType.matrix]: 'range vector', +}; + +export const escapeString = (str: string) => { + return str.replace(/([\\"])/g, '\\$1'); +}; diff --git a/web/ui/mantine-ui/src/setupTests.ts b/web/ui/mantine-ui/src/setupTests.ts new file mode 100644 index 000000000..d0de870dc --- /dev/null +++ b/web/ui/mantine-ui/src/setupTests.ts @@ -0,0 +1 @@ +import "@testing-library/jest-dom"; diff --git a/web/ui/mantine-ui/vitest.config.ts b/web/ui/mantine-ui/vitest.config.ts new file mode 100644 index 000000000..4b5c9028b --- /dev/null +++ b/web/ui/mantine-ui/vitest.config.ts @@ -0,0 +1,11 @@ +import { defineConfig } from "vitest/config"; +import react from "@vitejs/plugin-react"; + +export default defineConfig({ + plugins: [react()], + test: { + globals: true, + environment: "jsdom", + setupFiles: "./src/setupTests.ts", + }, +}); diff --git a/web/ui/package-lock.json b/web/ui/package-lock.json index 7f5c0ae2a..27268dcd2 100644 --- a/web/ui/package-lock.json +++ b/web/ui/package-lock.json @@ -20,90 +20,6 @@ "vite": "^5.1.0" } }, - "app": { - "name": "@prometheus-io/app", - "version": "0.0.0", - "extraneous": true, - "dependencies": { - "@codemirror/autocomplete": "^6.11.1", - "@codemirror/commands": "^6.3.2", - "@codemirror/language": "^6.9.3", - "@codemirror/lint": "^6.4.2", - "@codemirror/search": "^6.5.5", - "@codemirror/state": "^6.3.3", - "@codemirror/view": "^6.22.1", - "@lezer/common": "^1.2.1", - "@lezer/highlight": "^1.2.0", - "@mantine/code-highlight": "^7.5.3", - "@mantine/core": "^7.5.3", - "@mantine/dates": "^7.5.3", - "@mantine/hooks": "^7.5.3", - "@prometheus-io/codemirror-promql": "0.51.2", - "@tabler/icons-react": "^2.47.0", - "@tanstack/react-query": "^5.22.2", - "@uiw/react-codemirror": "^4.21.22", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "react-router-dom": "^6.22.1" - }, - "devDependencies": { - "@types/react": "^18.2.55", - "@types/react-dom": "^18.2.19", - "@vitejs/plugin-react-swc": "^3.5.0", - "eslint": "^8.56.0", - "eslint-plugin-react-hooks": "^4.6.0", - "eslint-plugin-react-refresh": "^0.4.5" - } - }, - "codemirror-promql": { - "name": "@prometheus-io/codemirror-promql", - "version": "0.51.2", - "extraneous": true, - "license": "Apache-2.0", - "dependencies": { - "@prometheus-io/lezer-promql": "0.51.2", - "lru-cache": "^7.18.3" - }, - "devDependencies": { - "@codemirror/autocomplete": "^6.11.1", - "@codemirror/language": "^6.9.3", - "@codemirror/lint": "^6.4.2", - "@codemirror/state": "^6.3.3", - "@codemirror/view": "^6.22.1", - "@lezer/common": "^1.1.1", - "@lezer/highlight": "^1.2.0", - "@lezer/lr": "^1.3.14", - "isomorphic-fetch": "^3.0.0", - "nock": "^13.4.0" - }, - "engines": { - "node": ">=12.0.0" - }, - "peerDependencies": { - "@codemirror/autocomplete": "^6.4.0", - "@codemirror/language": "^6.3.0", - "@codemirror/lint": "^6.0.0", - "@codemirror/state": "^6.1.1", - "@codemirror/view": "^6.4.0", - "@lezer/common": "^1.0.1" - } - }, - "lezer-promql": { - "name": "@prometheus-io/lezer-promql", - "version": "0.51.2", - "extraneous": true, - "license": "Apache-2.0", - "devDependencies": { - "@lezer/generator": "^1.5.1", - "@lezer/highlight": "^1.2.0", - "@lezer/lr": "^1.3.14", - "@rollup/plugin-node-resolve": "^15.2.3" - }, - "peerDependencies": { - "@lezer/highlight": "^1.1.2", - "@lezer/lr": "^1.2.3" - } - }, "mantine-ui": { "name": "@prometheus-io/mantine-ui", "version": "0.49.1", @@ -127,127 +43,47 @@ "@reduxjs/toolkit": "^2.2.1", "@tabler/icons-react": "^2.47.0", "@tanstack/react-query": "^5.22.2", + "@testing-library/jest-dom": "^6.5.0", + "@testing-library/react": "^16.0.1", "@types/lodash": "^4.17.7", "@types/sanitize-html": "^2.13.0", "@uiw/react-codemirror": "^4.21.22", "dayjs": "^1.11.10", "lodash": "^4.17.21", - "react": "^18.2.0", - "react-dom": "^18.2.0", + "react": "^18.3.1", + "react-dom": "^18.3.1", "react-infinite-scroll-component": "^6.1.0", - "react-redux": "^9.1.0", - "react-router-dom": "^6.22.1", + "react-redux": "^9.1.2", + "react-router-dom": "^6.26.1", "sanitize-html": "^2.13.0", "uplot": "^1.6.30", "uplot-react": "^1.2.2", "use-query-params": "^2.2.1" }, "devDependencies": { - "@types/react": "^18.2.55", - "@types/react-dom": "^18.2.19", + "@types/react": "^18.3.5", + "@types/react-dom": "^18.3.0", "@typescript-eslint/eslint-plugin": "^6.21.0", "@typescript-eslint/parser": "^6.21.0", "@vitejs/plugin-react": "^4.2.1", - "eslint": "^8.56.0", - "eslint-plugin-react-hooks": "^4.6.0", - "eslint-plugin-react-refresh": "^0.4.5", + "eslint": "^9.9.1", + "eslint-plugin-react-hooks": "^5.1.0-rc-e56f4ae3-20240830", + "eslint-plugin-react-refresh": "^0.4.11", + "jsdom": "^25.0.0", "postcss": 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