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heatmapPanel.f6f29a53ed0f682b4404.js.map
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{ css } from '@emotion/css';\nimport React, { useState, useEffect } from 'react';\n\nimport { GrafanaTheme2 } from '@grafana/data';\nimport { useTheme2 } from '@grafana/ui';\n\ntype Props = {\n colorPalette: string[];\n min: number;\n max: number;\n\n // Show a value as string -- when not defined, the raw values will not be shown\n display?: (v: number) => string;\n hoverValue?: number;\n useStopsPercentage?: boolean;\n};\n\ntype HoverState = {\n isShown: boolean;\n value: number;\n};\n\nconst GRADIENT_STOPS = 10;\n\nexport const ColorScale = ({ colorPalette, min, max, display, hoverValue, useStopsPercentage }: Props) => {\n const [colors, setColors] = useState<string[]>([]);\n const [scaleHover, setScaleHover] = useState<HoverState>({ isShown: false, value: 0 });\n const [percent, setPercent] = useState<number | null>(null); // 0-100 for CSS percentage\n\n const theme = useTheme2();\n const styles = getStyles(theme, colors);\n\n useEffect(() => {\n setColors(getGradientStops({ colorArray: colorPalette, stops: GRADIENT_STOPS, useStopsPercentage }));\n }, [colorPalette, useStopsPercentage]);\n\n const onScaleMouseMove = (event: React.MouseEvent<HTMLDivElement>) => {\n const divOffset = event.nativeEvent.offsetX;\n const offsetWidth = event.currentTarget.offsetWidth;\n const normPercentage = Math.floor((divOffset * 100) / offsetWidth + 1);\n const scaleValue = Math.floor(((max - min) * normPercentage) / 100 + min);\n\n setScaleHover({ isShown: true, value: scaleValue });\n setPercent(normPercentage);\n };\n\n const onScaleMouseLeave = () => {\n setScaleHover({ isShown: false, value: 0 });\n };\n\n useEffect(() => {\n setPercent(hoverValue == null ? null : clampPercent100((hoverValue - min) / (max - min)));\n }, [hoverValue, min, max]);\n\n return (\n <div className={styles.scaleWrapper} onMouseMove={onScaleMouseMove} onMouseLeave={onScaleMouseLeave}>\n <div className={styles.scaleGradient}>\n {display && (scaleHover.isShown || hoverValue !== undefined) && (\n <div className={styles.followerContainer}>\n <div className={styles.follower} style={{ left: `${percent}%` }} />\n </div>\n )}\n </div>\n {display && (\n <div className={styles.followerContainer}>\n <div className={styles.legendValues}>\n <span className={styles.disabled}>{display(min)}</span>\n <span className={styles.disabled}>{display(max)}</span>\n </div>\n {percent != null && (scaleHover.isShown || hoverValue !== undefined) && (\n <span className={styles.hoverValue} style={{ left: `${percent}%` }}>\n {display(hoverValue ?? scaleHover.value)}\n </span>\n )}\n </div>\n )}\n </div>\n );\n};\n\nconst getGradientStops = ({\n colorArray,\n stops,\n useStopsPercentage = true,\n}: {\n colorArray: string[];\n stops: number;\n useStopsPercentage?: boolean;\n}): string[] => {\n const colorCount = colorArray.length;\n if (useStopsPercentage && colorCount <= 20) {\n const incr = (1 / colorCount) * 100;\n let per = 0;\n const stops: string[] = [];\n for (const color of colorArray) {\n if (per > 0) {\n stops.push(`${color} ${per}%`);\n } else {\n stops.push(color);\n }\n per += incr;\n stops.push(`${color} ${per}%`);\n }\n return stops;\n }\n\n const gradientEnd = colorArray[colorCount - 1];\n const skip = Math.ceil(colorCount / stops);\n const gradientStops = new Set<string>();\n\n for (let i = 0; i < colorCount; i += skip) {\n gradientStops.add(colorArray[i]);\n }\n\n gradientStops.add(gradientEnd);\n\n return [...gradientStops];\n};\n\nfunction clampPercent100(v: number) {\n if (v > 1) {\n return 100;\n }\n if (v < 0) {\n return 0;\n }\n return v * 100;\n}\n\nconst getStyles = (theme: GrafanaTheme2, colors: string[]) => ({\n scaleWrapper: css({\n width: '100%',\n fontSize: '11px',\n opacity: 1,\n }),\n scaleGradient: css({\n background: `linear-gradient(90deg, ${colors.join()})`,\n height: '9px',\n pointerEvents: 'none',\n borderRadius: theme.shape.radius.default,\n }),\n legendValues: css({\n display: 'flex',\n justifyContent: 'space-between',\n pointerEvents: 'none',\n }),\n hoverValue: css({\n position: 'absolute',\n marginTop: '-14px',\n padding: '3px 15px',\n transform: 'translateX(-50%)',\n }),\n followerContainer: css({\n position: 'relative',\n pointerEvents: 'none',\n whiteSpace: 'nowrap',\n }),\n follower: css({\n position: 'absolute',\n height: '13px',\n width: '13px',\n borderRadius: theme.shape.radius.default,\n transform: 'translateX(-50%) translateY(-50%)',\n border: `2px solid ${theme.colors.text.primary}`,\n top: '5px',\n }),\n disabled: css({\n color: theme.colors.text.disabled,\n }),\n});\n","export function renderHistogram(\n can: React.RefObject<HTMLCanvasElement>,\n histCanWidth: number,\n histCanHeight: number,\n xVals: number[],\n countVals: number[],\n index: number,\n yBucketCount: number\n) {\n let histCtx = can.current?.getContext('2d');\n\n if (histCtx != null) {\n let fromIdx = index;\n\n while (xVals[fromIdx--] === xVals[index]) {}\n\n fromIdx++;\n\n let toIdx = fromIdx + yBucketCount;\n\n let maxCount = 0;\n\n let i = fromIdx;\n while (i < toIdx) {\n let c = countVals[i];\n maxCount = Math.max(maxCount, c);\n i++;\n }\n\n let pHov = new Path2D();\n let pRest = new Path2D();\n\n i = fromIdx;\n let j = 0;\n while (i < toIdx) {\n let c = countVals[i];\n\n if (c > 0) {\n let pctY = c / maxCount;\n let pctX = j / (yBucketCount + 1);\n\n let p = i === index ? pHov : pRest;\n\n p.rect(\n Math.round(histCanWidth * pctX),\n Math.round(histCanHeight * (1 - pctY)),\n Math.round(histCanWidth / yBucketCount),\n Math.round(histCanHeight * pctY)\n );\n }\n\n i++;\n j++;\n }\n\n histCtx.clearRect(0, 0, histCanWidth, histCanHeight);\n\n histCtx.fillStyle = '#2E3036';\n histCtx.fill(pRest);\n\n histCtx.fillStyle = '#5794F2';\n histCtx.fill(pHov);\n }\n}\n","import { DataFrame, Field } from '@grafana/data';\n\nimport { HeatmapData } from '../fields';\n\ntype BucketsMinMax = {\n xBucketMin: number;\n xBucketMax: number;\n yBucketMin: string;\n yBucketMax: string;\n};\n\nexport const getHoverCellColor = (data: HeatmapData, index: number) => {\n const colorPalette = data.heatmapColors?.palette!;\n const colorIndex = data.heatmapColors?.values[index];\n\n let cellColor: string | undefined = undefined;\n\n if (colorIndex != null) {\n cellColor = colorPalette[colorIndex];\n }\n\n return { cellColor, colorPalette };\n};\n\nconst conversions: Record<string, number> = {\n year: 1000 * 60 * 60 * 24 * 365,\n month: 1000 * 60 * 60 * 24 * 30,\n week: 1000 * 60 * 60 * 24 * 7,\n day: 1000 * 60 * 60 * 24,\n h: 1000 * 60 * 60,\n m: 1000 * 60,\n s: 1000,\n ms: 1,\n};\n\nconst noPluralize = new Set(['ms', 's', 'm', 'h']);\n\n// @TODO: display \"~ 1 year/month\"?\nexport const formatMilliseconds = (milliseconds: number) => {\n let value = 1;\n let unit = 'ms';\n\n for (unit in conversions) {\n if (milliseconds >= conversions[unit]) {\n value = Math.floor(milliseconds / conversions[unit]);\n break;\n }\n }\n\n const plural = value !== 1 && !noPluralize.has(unit);\n const unitString = plural ? unit + 's' : unit;\n\n return `${value} ${unitString}`;\n};\n\nexport const getFieldFromData = (data: DataFrame, fieldType: string, isSparse: boolean) => {\n let field: Field | undefined;\n\n switch (fieldType) {\n case 'x':\n field = isSparse\n ? data?.fields.find(({ name }) => name === 'x' || name === 'xMin' || name === 'xMax')\n : data?.fields[0];\n break;\n case 'y':\n field = isSparse\n ? data?.fields.find(({ name }) => name === 'y' || name === 'yMin' || name === 'yMax')\n : data?.fields[1];\n break;\n case 'count':\n field = isSparse ? data?.fields.find(({ name }) => name === 'count') : data?.fields[2];\n break;\n }\n\n return field;\n};\n\nexport const getSparseCellMinMax = (data: HeatmapData, index: number): BucketsMinMax => {\n let fields = data.heatmap!.fields;\n\n let xMax = fields.find((f) => f.name === 'xMax')!;\n let yMin = fields.find((f) => f.name === 'yMin')!;\n let yMax = fields.find((f) => f.name === 'yMax')!;\n\n let interval = xMax.config.interval!;\n\n return {\n xBucketMin: xMax.values[index] - interval,\n xBucketMax: xMax.values[index],\n yBucketMin: yMin.values[index],\n yBucketMax: yMax.values[index],\n };\n};\n","import React, { ReactElement, useEffect, useRef, useState } from 'react';\nimport uPlot from 'uplot';\n\nimport {\n DataFrameType,\n Field,\n FieldType,\n formattedValueToString,\n getFieldDisplayName,\n getLinksSupplier,\n InterpolateFunction,\n LinkModel,\n PanelData,\n ScopedVars,\n} from '@grafana/data';\nimport { HeatmapCellLayout } from '@grafana/schema';\nimport { TooltipDisplayMode, useStyles2 } from '@grafana/ui';\nimport { VizTooltipContent } from '@grafana/ui/src/components/VizTooltip/VizTooltipContent';\nimport { VizTooltipFooter } from '@grafana/ui/src/components/VizTooltip/VizTooltipFooter';\nimport { VizTooltipHeader } from '@grafana/ui/src/components/VizTooltip/VizTooltipHeader';\nimport { ColorIndicator, ColorPlacement, LabelValue } from '@grafana/ui/src/components/VizTooltip/types';\nimport { ColorScale } from 'app/core/components/ColorScale/ColorScale';\nimport { getDashboardSrv } from 'app/features/dashboard/services/DashboardSrv';\nimport { isHeatmapCellsDense, readHeatmapRowsCustomMeta } from 'app/features/transformers/calculateHeatmap/heatmap';\nimport { DataHoverView } from 'app/features/visualization/data-hover/DataHoverView';\n\nimport { getStyles } from '../timeseries/TimeSeriesTooltip';\n\nimport { HeatmapData } from './fields';\nimport { renderHistogram } from './renderHistogram';\nimport { formatMilliseconds, getFieldFromData, getHoverCellColor, getSparseCellMinMax } from './tooltip/utils';\n\ninterface Props {\n mode: TooltipDisplayMode;\n dataIdxs: Array<number | null>;\n seriesIdx: number | null | undefined;\n dataRef: React.MutableRefObject<HeatmapData>;\n showHistogram?: boolean;\n showColorScale?: boolean;\n isPinned: boolean;\n dismiss: () => void;\n panelData: PanelData;\n replaceVars: InterpolateFunction;\n scopedVars: ScopedVars[];\n annotate?: () => void;\n}\n\nexport const HeatmapHoverView = (props: Props) => {\n if (props.seriesIdx === 2) {\n return (\n <DataHoverView\n data={props.dataRef.current!.exemplars}\n rowIndex={props.dataIdxs[2]}\n header={'Exemplar'}\n padding={8}\n />\n );\n }\n\n return <HeatmapHoverCell {...props} />;\n};\n\nconst HeatmapHoverCell = ({\n dataIdxs,\n dataRef,\n showHistogram,\n isPinned,\n showColorScale = false,\n scopedVars,\n replaceVars,\n mode,\n annotate,\n}: Props) => {\n const index = dataIdxs[1]!;\n const data = dataRef.current;\n\n const [isSparse] = useState(\n () => data.heatmap?.meta?.type === DataFrameType.HeatmapCells && !isHeatmapCellsDense(data.heatmap)\n );\n\n const xField = getFieldFromData(data.heatmap!, 'x', isSparse)!;\n const yField = getFieldFromData(data.heatmap!, 'y', isSparse)!;\n const countField = getFieldFromData(data.heatmap!, 'count', isSparse)!;\n\n const xDisp = (v: number) => {\n if (xField?.display) {\n return formattedValueToString(xField.display(v));\n }\n if (xField?.type === FieldType.time) {\n const tooltipTimeFormat = 'YYYY-MM-DD HH:mm:ss';\n const dashboard = getDashboardSrv().getCurrent();\n return dashboard?.formatDate(v, tooltipTimeFormat);\n }\n return `${v}`;\n };\n\n const xVals = xField.values;\n const yVals = yField.values;\n const countVals = countField.values;\n\n // labeled buckets\n const meta = readHeatmapRowsCustomMeta(data.heatmap);\n const yDisp = yField?.display ? (v: string) => formattedValueToString(yField.display!(v)) : (v: string) => `${v}`;\n\n let interval = xField?.config.interval;\n\n let yBucketMin: string;\n let yBucketMax: string;\n\n let xBucketMin: number;\n let xBucketMax: number;\n\n let nonNumericOrdinalDisplay: string | undefined = undefined;\n\n let contentItems: LabelValue[] = [];\n\n const getYValueIndex = (idx: number) => {\n return idx % data.yBucketCount! ?? 0;\n };\n\n let yValueIdx = getYValueIndex(index);\n\n const getData = (idx: number = index) => {\n if (meta.yOrdinalDisplay) {\n const yMinIdx = data.yLayout === HeatmapCellLayout.le ? yValueIdx - 1 : yValueIdx;\n const yMaxIdx = data.yLayout === HeatmapCellLayout.le ? yValueIdx : yValueIdx + 1;\n yBucketMin = yMinIdx < 0 ? meta.yMinDisplay! : `${meta.yOrdinalDisplay[yMinIdx]}`;\n yBucketMax = `${meta.yOrdinalDisplay[yMaxIdx]}`;\n\n // e.g. \"pod-xyz123\"\n if (!meta.yOrdinalLabel || Number.isNaN(+meta.yOrdinalLabel[0])) {\n nonNumericOrdinalDisplay = data.yLayout === HeatmapCellLayout.le ? yBucketMax : yBucketMin;\n }\n } else {\n const value = yVals?.[yValueIdx];\n\n if (data.yLayout === HeatmapCellLayout.le) {\n yBucketMax = `${value}`;\n\n if (data.yLog) {\n let logFn = data.yLog === 2 ? Math.log2 : Math.log10;\n let exp = logFn(value) - 1 / data.yLogSplit!;\n yBucketMin = `${data.yLog ** exp}`;\n } else {\n yBucketMin = `${value - data.yBucketSize!}`;\n }\n } else {\n yBucketMin = `${value}`;\n\n if (data.yLog) {\n let logFn = data.yLog === 2 ? Math.log2 : Math.log10;\n let exp = logFn(value) + 1 / data.yLogSplit!;\n yBucketMax = `${data.yLog ** exp}`;\n } else {\n yBucketMax = `${value + data.yBucketSize!}`;\n }\n }\n }\n\n if (data.xLayout === HeatmapCellLayout.le) {\n xBucketMax = xVals[idx];\n xBucketMin = xBucketMax - data.xBucketSize!;\n } else {\n xBucketMin = xVals[idx];\n xBucketMax = xBucketMin + data.xBucketSize!;\n }\n };\n\n if (isSparse) {\n ({ xBucketMin, xBucketMax, yBucketMin, yBucketMax } = getSparseCellMinMax(data!, index));\n } else {\n getData();\n }\n\n const { cellColor, colorPalette } = getHoverCellColor(data, index);\n\n const getDisplayData = (fromIdx: number, toIdx: number) => {\n let vals = [];\n for (let idx = fromIdx; idx <= toIdx; idx++) {\n if (!countVals?.[idx]) {\n continue;\n }\n\n const color = getHoverCellColor(data, idx).cellColor;\n count = getCountValue(idx);\n\n if (isSparse) {\n ({ xBucketMin, xBucketMax, yBucketMin, yBucketMax } = getSparseCellMinMax(data!, idx));\n } else {\n yValueIdx = getYValueIndex(idx);\n getData(idx);\n }\n\n const { label, value } = getContentLabels()[0];\n\n vals.push({\n label,\n value,\n color: color ?? '#FFF',\n isActive: index === idx,\n });\n }\n\n return vals;\n };\n\n const getContentLabels = (): LabelValue[] => {\n const isMulti = mode === TooltipDisplayMode.Multi && !isPinned;\n\n if (nonNumericOrdinalDisplay) {\n return isMulti\n ? [{ label: `Name ${nonNumericOrdinalDisplay}`, value: data.display!(count) }]\n : [{ label: 'Name', value: nonNumericOrdinalDisplay }];\n }\n\n switch (data.yLayout) {\n case HeatmapCellLayout.unknown:\n return isMulti\n ? [{ label: yDisp(yBucketMin), value: data.display!(count) }]\n : [{ label: '', value: yDisp(yBucketMin) }];\n }\n\n return isMulti\n ? [\n {\n label: `Bucket ${yDisp(yBucketMin)}` + '-' + `${yDisp(yBucketMax)}`,\n value: data.display!(count),\n },\n ]\n : [\n {\n label: 'Bucket',\n value: `${yDisp(yBucketMin)}` + '-' + `${yDisp(yBucketMax)}`,\n },\n ];\n };\n\n const getCountValue = (idx: number) => {\n return countVals?.[idx];\n };\n\n let count = getCountValue(index);\n\n if (mode === TooltipDisplayMode.Single || isPinned) {\n const fromToInt: LabelValue[] = interval ? [{ label: 'Duration', value: formatMilliseconds(interval) }] : [];\n\n contentItems = [\n {\n label: getFieldDisplayName(countField, data.heatmap),\n value: data.display!(count),\n color: cellColor ?? '#FFF',\n colorPlacement: ColorPlacement.trailing,\n colorIndicator: ColorIndicator.value,\n },\n ...getContentLabels(),\n ...fromToInt,\n ];\n }\n\n if (mode === TooltipDisplayMode.Multi && !isPinned) {\n let xVal = xField.values[index];\n let fromIdx = index;\n let toIdx = index;\n\n while (xField.values[fromIdx - 1] === xVal) {\n fromIdx--;\n }\n\n while (xField.values[toIdx + 1] === xVal) {\n toIdx++;\n }\n\n const vals: LabelValue[] = getDisplayData(fromIdx, toIdx);\n vals.forEach((val) => {\n contentItems.push({\n label: val.label,\n value: val.value,\n color: val.color ?? '#FFF',\n colorIndicator: ColorIndicator.value,\n colorPlacement: ColorPlacement.trailing,\n isActive: val.isActive,\n });\n });\n }\n\n const visibleFields = data.heatmap?.fields.filter((f) => !Boolean(f.config.custom?.hideFrom?.tooltip));\n const links: Array<LinkModel<Field>> = [];\n const linkLookup = new Set<string>();\n\n for (const field of visibleFields ?? []) {\n const hasLinks = field.config.links && field.config.links.length > 0;\n\n if (hasLinks && data.heatmap) {\n const appropriateScopedVars = scopedVars.find(\n (scopedVar) =>\n scopedVar && scopedVar.__dataContext && scopedVar.__dataContext.value.field.name === nonNumericOrdinalDisplay\n );\n\n field.getLinks = getLinksSupplier(data.heatmap, field, appropriateScopedVars || {}, replaceVars);\n }\n\n if (field.getLinks) {\n const value = field.values[index];\n const display = field.display ? field.display(value) : { text: `${value}`, numeric: +value };\n\n field.getLinks({ calculatedValue: display, valueRowIndex: index }).forEach((link) => {\n const key = `${link.title}/${link.href}`;\n if (!linkLookup.has(key)) {\n links.push(link);\n linkLookup.add(key);\n }\n });\n }\n }\n\n let can = useRef<HTMLCanvasElement>(null);\n\n let histCssWidth = 264;\n let histCssHeight = 64;\n let histCanWidth = Math.round(histCssWidth * uPlot.pxRatio);\n let histCanHeight = Math.round(histCssHeight * uPlot.pxRatio);\n\n useEffect(\n () => {\n if (showHistogram && xVals != null && countVals != null && mode === TooltipDisplayMode.Single) {\n renderHistogram(can, histCanWidth, histCanHeight, xVals, countVals, index, data.yBucketCount!);\n }\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n [index]\n );\n\n const headerLabel: LabelValue = {\n label: '',\n value: xDisp(xBucketMax!)!,\n };\n\n let customContent: ReactElement[] = [];\n\n if (mode === TooltipDisplayMode.Single) {\n // Histogram\n if (showHistogram && !isSparse) {\n customContent.push(\n <canvas\n width={histCanWidth}\n height={histCanHeight}\n ref={can}\n style={{ width: histCssWidth + 'px', height: histCssHeight + 'px' }}\n />\n );\n }\n\n // Color scale\n if (colorPalette && showColorScale) {\n customContent.push(\n <ColorScale\n colorPalette={colorPalette}\n min={data.heatmapColors?.minValue!}\n max={data.heatmapColors?.maxValue!}\n display={data.display}\n hoverValue={count}\n />\n );\n }\n }\n\n const styles = useStyles2(getStyles);\n\n return (\n <div className={styles.wrapper}>\n <VizTooltipHeader headerLabel={headerLabel} isPinned={isPinned} />\n <VizTooltipContent contentLabelValue={contentItems} customContent={customContent} isPinned={isPinned} />\n {isPinned && <VizTooltipFooter dataLinks={links} annotate={annotate} />}\n </div>\n );\n};\n","import React, { useEffect, useRef, useState } from 'react';\nimport uPlot from 'uplot';\n\nimport {\n DataFrameType,\n Field,\n FieldType,\n formattedValueToString,\n getFieldDisplayName,\n LinkModel,\n TimeRange,\n getLinksSupplier,\n InterpolateFunction,\n ScopedVars,\n} from '@grafana/data';\nimport { HeatmapCellLayout } from '@grafana/schema';\nimport { LinkButton, VerticalGroup } from '@grafana/ui';\nimport { getDashboardSrv } from 'app/features/dashboard/services/DashboardSrv';\nimport { isHeatmapCellsDense, readHeatmapRowsCustomMeta } from 'app/features/transformers/calculateHeatmap/heatmap';\nimport { DataHoverView } from 'app/features/visualization/data-hover/DataHoverView';\n\nimport { HeatmapData } from './fields';\nimport { renderHistogram } from './renderHistogram';\nimport { HeatmapHoverEvent } from './utils';\n\ntype Props = {\n data: HeatmapData;\n hover: HeatmapHoverEvent;\n showHistogram?: boolean;\n timeRange: TimeRange;\n replaceVars: InterpolateFunction;\n scopedVars: ScopedVars[];\n};\n\nexport const HeatmapHoverView = (props: Props) => {\n if (props.hover.seriesIdx === 2) {\n return <DataHoverView data={props.data.exemplars} rowIndex={props.hover.dataIdx} header={'Exemplar'} />;\n }\n return <HeatmapHoverCell {...props} />;\n};\n\nconst HeatmapHoverCell = ({ data, hover, showHistogram = false, scopedVars, replaceVars }: Props) => {\n const index = hover.dataIdx;\n\n const [isSparse] = useState(\n () => data.heatmap?.meta?.type === DataFrameType.HeatmapCells && !isHeatmapCellsDense(data.heatmap)\n );\n\n const xField = data.heatmap?.fields[0];\n const yField = data.heatmap?.fields[1];\n const countField = data.heatmap?.fields[2];\n\n const xDisp = (v: number) => {\n if (xField?.display) {\n return formattedValueToString(xField.display(v));\n }\n if (xField?.type === FieldType.time) {\n const tooltipTimeFormat = 'YYYY-MM-DD HH:mm:ss';\n const dashboard = getDashboardSrv().getCurrent();\n return dashboard?.formatDate(v, tooltipTimeFormat);\n }\n return `${v}`;\n };\n\n const xVals = xField?.values;\n const yVals = yField?.values;\n const countVals = countField?.values;\n\n // labeled buckets\n const meta = readHeatmapRowsCustomMeta(data.heatmap);\n const yDisp = yField?.display ? (v: string) => formattedValueToString(yField.display!(v)) : (v: string) => `${v}`;\n\n const yValueIdx = index % data.yBucketCount! ?? 0;\n\n let yBucketMin: string;\n let yBucketMax: string;\n\n let nonNumericOrdinalDisplay: string | undefined = undefined;\n\n if (meta.yOrdinalDisplay) {\n const yMinIdx = data.yLayout === HeatmapCellLayout.le ? yValueIdx - 1 : yValueIdx;\n const yMaxIdx = data.yLayout === HeatmapCellLayout.le ? yValueIdx : yValueIdx + 1;\n yBucketMin = yMinIdx < 0 ? meta.yMinDisplay! : `${meta.yOrdinalDisplay[yMinIdx]}`;\n yBucketMax = `${meta.yOrdinalDisplay[yMaxIdx]}`;\n\n // e.g. \"pod-xyz123\"\n if (!meta.yOrdinalLabel || Number.isNaN(+meta.yOrdinalLabel[0])) {\n nonNumericOrdinalDisplay = data.yLayout === HeatmapCellLayout.le ? yBucketMax : yBucketMin;\n }\n } else {\n const value = yVals?.[yValueIdx];\n\n if (data.yLayout === HeatmapCellLayout.le) {\n yBucketMax = `${value}`;\n\n if (data.yLog) {\n let logFn = data.yLog === 2 ? Math.log2 : Math.log10;\n let exp = logFn(value) - 1 / data.yLogSplit!;\n yBucketMin = `${data.yLog ** exp}`;\n } else {\n yBucketMin = `${value - data.yBucketSize!}`;\n }\n } else {\n yBucketMin = `${value}`;\n\n if (data.yLog) {\n let logFn = data.yLog === 2 ? Math.log2 : Math.log10;\n let exp = logFn(value) + 1 / data.yLogSplit!;\n yBucketMax = `${data.yLog ** exp}`;\n } else {\n yBucketMax = `${value + data.yBucketSize!}`;\n }\n }\n }\n\n let xBucketMin: number;\n let xBucketMax: number;\n\n if (data.xLayout === HeatmapCellLayout.le) {\n xBucketMax = xVals?.[index];\n xBucketMin = xBucketMax - data.xBucketSize!;\n } else {\n xBucketMin = xVals?.[index];\n xBucketMax = xBucketMin + data.xBucketSize!;\n }\n\n const count = countVals?.[index];\n\n const visibleFields = data.heatmap?.fields.filter((f) => !Boolean(f.config.custom?.hideFrom?.tooltip));\n const links: Array<LinkModel<Field>> = [];\n const linkLookup = new Set<string>();\n\n for (const field of visibleFields ?? []) {\n const hasLinks = field.config.links && field.config.links.length > 0;\n\n if (hasLinks && data.heatmap) {\n const appropriateScopedVars = scopedVars.find(\n (scopedVar) =>\n scopedVar && scopedVar.__dataContext && scopedVar.__dataContext.value.field.name === nonNumericOrdinalDisplay\n );\n\n field.getLinks = getLinksSupplier(data.heatmap, field, appropriateScopedVars || {}, replaceVars);\n }\n\n if (field.getLinks) {\n const value = field.values[index];\n const display = field.display ? field.display(value) : { text: `${value}`, numeric: +value };\n\n field.getLinks({ calculatedValue: display, valueRowIndex: index }).forEach((link) => {\n const key = `${link.title}/${link.href}`;\n if (!linkLookup.has(key)) {\n links.push(link);\n linkLookup.add(key);\n }\n });\n }\n }\n\n let can = useRef<HTMLCanvasElement>(null);\n\n let histCssWidth = 264;\n let histCssHeight = 64;\n let histCanWidth = Math.round(histCssWidth * uPlot.pxRatio);\n let histCanHeight = Math.round(histCssHeight * uPlot.pxRatio);\n\n useEffect(\n () => {\n if (showHistogram && xVals != null && countVals != null) {\n renderHistogram(can, histCanWidth, histCanHeight, xVals, countVals, index, data.yBucketCount!);\n }\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n [index]\n );\n\n if (isSparse) {\n return (\n <div>\n <DataHoverView data={data.heatmap} rowIndex={index} />\n </div>\n );\n }\n\n const renderYBucket = () => {\n if (nonNumericOrdinalDisplay) {\n return <div>Name: {nonNumericOrdinalDisplay}</div>;\n }\n\n switch (data.yLayout) {\n case HeatmapCellLayout.unknown:\n return <div>{yDisp(yBucketMin)}</div>;\n }\n return (\n <div>\n Bucket: {yDisp(yBucketMin)} - {yDisp(yBucketMax)}\n </div>\n );\n };\n\n return (\n <>\n <div>\n <div>{xDisp(xBucketMin)}</div>\n {data.xLayout !== HeatmapCellLayout.unknown && <div>{xDisp(xBucketMax)}</div>}\n </div>\n {showHistogram && (\n <canvas\n width={histCanWidth}\n height={histCanHeight}\n ref={can}\n style={{ width: histCssWidth + 'px', height: histCssHeight + 'px' }}\n />\n )}\n <div>\n {renderYBucket()}\n <div>\n {getFieldDisplayName(countField!, data.heatmap)}: {data.display!(count)}\n </div>\n </div>\n {links.length > 0 && (\n <VerticalGroup>\n {links.map((link, i) => (\n <LinkButton\n key={i}\n icon={'external-link-alt'}\n target={link.target}\n href={link.href}\n onClick={link.onClick}\n fill=\"text\"\n style={{ width: '100%' }}\n >\n {link.title}\n </LinkButton>\n ))}\n </VerticalGroup>\n )}\n </>\n );\n};\n","import { MutableRefObject, RefObject } from 'react';\nimport uPlot, { Cursor } from 'uplot';\n\nimport {\n DashboardCursorSync,\n DataFrameType,\n DataHoverClearEvent,\n DataHoverEvent,\n DataHoverPayload,\n EventBus,\n formattedValueToString,\n getValueFormat,\n GrafanaTheme2,\n incrRoundDn,\n incrRoundUp,\n TimeRange,\n FieldType,\n} from '@grafana/data';\nimport { AxisPlacement, ScaleDirection, ScaleDistribution, ScaleOrientation, HeatmapCellLayout } from '@grafana/schema';\nimport { UPlotConfigBuilder } from '@grafana/ui';\nimport { isHeatmapCellsDense, readHeatmapRowsCustomMeta } from 'app/features/transformers/calculateHeatmap/heatmap';\n\nimport { pointWithin, Quadtree, Rect } from '../barchart/quadtree';\n\nimport { HeatmapData } from './fields';\nimport { FieldConfig, YAxisConfig } from './types';\n\ninterface PathbuilderOpts {\n each: (u: uPlot, seriesIdx: number, dataIdx: number, lft: number, top: number, wid: number, hgt: number) => void;\n gap?: number | null;\n hideLE?: number;\n hideGE?: number;\n xAlign?: -1 | 0 | 1;\n yAlign?: -1 | 0 | 1;\n ySizeDivisor?: number;\n disp: {\n fill: {\n values: (u: uPlot, seriesIndex: number) => number[];\n index: Array<CanvasRenderingContext2D['fillStyle']>;\n };\n };\n}\n\ninterface PointsBuilderOpts {\n each: (u: uPlot, seriesIdx: number, dataIdx: number, lft: number, top: number, wid: number, hgt: number) => void;\n}\n\nexport interface HeatmapHoverEvent {\n seriesIdx: number;\n dataIdx: number;\n pageX: number;\n pageY: number;\n}\n\nexport interface HeatmapZoomEvent {\n xMin: number;\n xMax: number;\n}\n\ninterface PrepConfigOpts {\n dataRef: RefObject<HeatmapData>;\n theme: GrafanaTheme2;\n eventBus: EventBus;\n onhover?: null | ((evt?: HeatmapHoverEvent | null) => void);\n onclick?: null | ((evt?: Object) => void);\n onzoom?: null | ((evt: HeatmapZoomEvent) => void);\n isToolTipOpen?: MutableRefObject<boolean>;\n timeZone: string;\n getTimeRange: () => TimeRange;\n exemplarColor: string;\n cellGap?: number | null; // in css pixels\n hideLE?: number;\n hideGE?: number;\n yAxisConfig: YAxisConfig;\n ySizeDivisor?: number;\n sync?: () => DashboardCursorSync;\n // Identifies the shared key for uPlot cursor sync\n eventsScope?: string;\n}\n\nexport function prepConfig(opts: PrepConfigOpts) {\n const {\n dataRef,\n theme,\n eventBus,\n onhover,\n onclick,\n isToolTipOpen,\n timeZone,\n getTimeRange,\n cellGap,\n hideLE,\n hideGE,\n yAxisConfig,\n ySizeDivisor,\n sync,\n eventsScope = '__global_',\n } = opts;\n\n const xScaleKey = 'x';\n let xScaleUnit = 'time';\n let isTime = true;\n\n if (dataRef.current?.heatmap?.fields[0].type !== FieldType.time) {\n xScaleUnit = dataRef.current?.heatmap?.fields[0].config?.unit ?? 'x';\n isTime = false;\n }\n\n const pxRatio = devicePixelRatio;\n\n let heatmapType = dataRef.current?.heatmap?.meta?.type;\n const exemplarFillColor = theme.visualization.getColorByName(opts.exemplarColor);\n\n let qt: Quadtree;\n let hRect: Rect | null;\n\n let builder = new UPlotConfigBuilder(timeZone);\n\n let rect: DOMRect;\n\n builder.addHook('init', (u) => {\n u.root.querySelectorAll<HTMLElement>('.u-cursor-pt').forEach((el) => {\n Object.assign(el.style, {\n borderRadius: '0',\n border: '1px solid white',\n background: 'transparent',\n });\n });\n\n onclick &&\n u.over.addEventListener(\n 'mouseup',\n (e) => {\n // @ts-ignore\n let isDragging: boolean = u.cursor.drag._x || u.cursor.drag._y;\n\n if (!isDragging) {\n onclick(e);\n }\n },\n true\n );\n });\n\n if (isTime) {\n // this is a tmp hack because in mode: 2, uplot does not currently call scales.x.range() for setData() calls\n // scales.x.range() typically reads back from drilled-down panelProps.timeRange via getTimeRange()\n builder.addHook('setData', (u) => {\n //let [min, max] = (u.scales!.x!.range! as uPlot.Range.Function)(u, 0, 100, xScaleKey);\n\n let { min: xMin, max: xMax } = u.scales!.x;\n\n let min = getTimeRange().from.valueOf();\n let max = getTimeRange().to.valueOf();\n\n if (xMin !== min || xMax !== max) {\n queueMicrotask(() => {\n u.setScale(xScaleKey, { min, max });\n });\n }\n });\n }\n\n // rect of .u-over (grid area)\n builder.addHook('syncRect', (u, r) => {\n rect = r;\n });\n\n const payload: DataHoverPayload = {\n point: {\n [xScaleUnit]: null,\n },\n data: dataRef.current?.heatmap,\n };\n\n const hoverEvent = new DataHoverEvent(payload).setTags(['uplot']);\n const clearEvent = new DataHoverClearEvent().setTags(['uplot']);\n\n let pendingOnleave: ReturnType<typeof setTimeout> | 0;\n\n onhover &&\n builder.addHook('setLegend', (u) => {\n if (u.cursor.idxs != null) {\n for (let i = 0; i < u.cursor.idxs.length; i++) {\n const sel = u.cursor.idxs[i];\n if (sel != null) {\n const { left, top } = u.cursor;\n payload.rowIndex = sel;\n payload.point[xScaleUnit] = u.posToVal(left!, xScaleKey);\n eventBus.publish(hoverEvent);\n\n if (!isToolTipOpen?.current) {\n if (pendingOnleave) {\n clearTimeout(pendingOnleave);\n pendingOnleave = 0;\n }\n onhover({\n seriesIdx: i,\n dataIdx: sel,\n pageX: rect.left + left!,\n pageY: rect.top + top!,\n });\n }\n return;\n }\n }\n }\n\n if (!isToolTipOpen?.current) {\n // if tiles have gaps, reduce flashing / re-render (debounce onleave by 100ms)\n if (!pendingOnleave) {\n pendingOnleave = setTimeout(() => {\n onhover(null);\n eventBus.publish(clearEvent);\n }, 100);\n }\n }\n });\n\n builder.addHook('drawClear', (u) => {\n qt = qt || new Quadtree(0, 0, u.bbox.width, u.bbox.height);\n\n qt.clear();\n\n // force-clear the path cache to cause drawBars() to rebuild new quadtree\n u.series.forEach((s, i) => {\n if (i > 0) {\n // @ts-ignore\n s._paths = null;\n }\n });\n });\n\n builder.setMode(2);\n\n builder.addScale({\n scaleKey: xScaleKey,\n isTime,\n orientation: ScaleOrientation.Horizontal,\n direction: ScaleDirection.Right,\n // TODO: expand by x bucket size and layout\n range: (u, dataMin, dataMax) => {\n if (isTime) {\n return [getTimeRange().from.valueOf(), getTimeRange().to.valueOf()];\n } else {\n if (dataRef.current?.xLayout === HeatmapCellLayout.le) {\n return [dataMin - dataRef.current?.xBucketSize!, dataMax];\n } else if (dataRef.current?.xLayout === HeatmapCellLayout.ge) {\n return [dataMin, dataMax + dataRef.current?.xBucketSize!];\n } else {\n let offset = dataRef.current?.xBucketSize! / 2;\n\n return [dataMin - offset, dataMax + offset];\n }\n }\n },\n });\n\n let incrs;\n\n if (!isTime) {\n incrs = [];\n\n for (let i = 0; i < 10; i++) {\n incrs.push(i * dataRef.current?.xBucketSize!);\n }\n }\n\n builder.addAxis({\n scaleKey: xScaleKey,\n placement: AxisPlacement.Bottom,\n incrs,\n isTime,\n theme: theme,\n timeZone,\n });\n\n const yField = dataRef.current?.heatmap?.fields[1]!;\n if (!yField) {\n return builder; // early abort (avoids error)\n }\n\n const yFieldConfig: FieldConfig | undefined = yField.config?.custom;\n const yScale = yFieldConfig?.scaleDistribution ?? { type: ScaleDistribution.Linear };\n const yAxisReverse = Boolean(yAxisConfig.reverse);\n const isSparseHeatmap = heatmapType === DataFrameType.HeatmapCells && !isHeatmapCellsDense(dataRef.current?.heatmap!);\n const shouldUseLogScale = yScale.type !== ScaleDistribution.Linear || isSparseHeatmap;\n const isOrdinalY = readHeatmapRowsCustomMeta(dataRef.current?.heatmap).yOrdinalDisplay != null;\n\n // random to prevent syncing y in other heatmaps\n // TODO: try to match TimeSeries y keygen algo to sync with TimeSeries panels (when not isOrdinalY)\n const yScaleKey = 'y_' + (Math.random() + 1).toString(36).substring(7);\n\n builder.addScale({\n scaleKey: yScaleKey,\n isTime: false,\n // distribution: ScaleDistribution.Ordinal, // does not work with facets/scatter yet\n orientation: ScaleOrientation.Vertical,\n direction: yAxisReverse ? ScaleDirection.Down : ScaleDirection.Up,\n // should be tweakable manually\n distribution: shouldUseLogScale ? ScaleDistribution.Log : ScaleDistribution.Linear,\n log: yScale.log ?? 2,\n range:\n // sparse already accounts for le/ge by explicit yMin & yMax cell bounds, so no need to expand y range\n isSparseHeatmap\n ? (u, dataMin, dataMax) => {\n // ...but uPlot currently only auto-ranges from the yMin facet data, so we have to grow by 1 extra factor\n // @ts-ignore\n let bucketFactor = u.data[1][2][0] / u.data[1][1][0];\n\n dataMax *= bucketFactor;\n\n let scaleMin: number | null, scaleMax: number | null;\n\n [scaleMin, scaleMax] = shouldUseLogScale\n ? uPlot.rangeLog(dataMin, dataMax, (yScale.log ?? 2) as unknown as uPlot.Scale.LogBase, true)\n : [dataMin, dataMax];\n\n if (shouldUseLogScale && !isOrdinalY) {\n let yExp = u.scales[yScaleKey].log!;\n let log = yExp === 2 ? Math.log2 : Math.log10;\n\n let { min: explicitMin, max: explicitMax } = yAxisConfig;\n\n // guard against <= 0\n if (explicitMin != null && explicitMin > 0) {\n // snap to magnitude\n let minLog = log(explicitMin);\n scaleMin = yExp ** incrRoundDn(minLog, 1);\n }\n\n if (explicitMax != null && explicitMax > 0) {\n let maxLog = log(explicitMax);\n scaleMax = yExp ** incrRoundUp(maxLog, 1);\n }\n }\n\n return [scaleMin, scaleMax];\n }\n : // dense and ordinal only have one of yMin|yMax|y, so expand range by one cell in the direction of le/ge/unknown\n (u, dataMin, dataMax) => {\n let scaleMin = dataMin,\n scaleMax = dataMax;\n\n let { min: explicitMin, max: explicitMax } = yAxisConfig;\n\n // logarithmic expansion\n if (shouldUseLogScale) {\n let yExp = u.scales[yScaleKey].log!;\n\n let minExpanded = false;\n let maxExpanded = false;\n\n let log = yExp === 2 ? Math.log2 : Math.log10;\n\n if (ySizeDivisor !== 1) {\n let minLog = log(dataMin);\n let maxLog = log(dataMax);\n\n if (!Number.isInteger(minLog)) {\n scaleMin = yExp ** incrRoundDn(minLog, 1);\n minExpanded = true;\n }\n\n if (!Number.isInteger(maxLog)) {\n scaleMax = yExp ** incrRoundUp(maxLog, 1);\n maxExpanded = true;\n }\n }\n\n if (dataRef.current?.yLayout === HeatmapCellLayout.le) {\n if (!minExpanded) {\n scaleMin /= yExp;\n }\n } else if (dataRef.current?.yLayout === HeatmapCellLayout.ge) {\n if (!maxExpanded) {\n scaleMax *= yExp;\n }\n } else {\n scaleMin /= yExp / 2;\n scaleMax *= yExp / 2;\n }\n\n if (!isOrdinalY) {\n // guard against <= 0\n if (explicitMin != null && explicitMin > 0) {\n // snap down to magnitude\n let minLog = log(explicitMin);\n scaleMin = yExp ** incrRoundDn(minLog, 1);\n }\n\n if (explicitMax != null && explicitMax > 0) {\n let maxLog = log(explicitMax);\n scaleMax = yExp ** incrRoundUp(maxLog, 1);\n }\n }\n }\n // linear expansion\n else {\n let bucketSize = dataRef.current?.yBucketSize;\n\n if (bucketSize === 0) {\n bucketSize = 1;\n }\n\n if (bucketSize) {\n if (dataRef.current?.yLayout === HeatmapCellLayout.le) {\n scaleMin -= bucketSize!;\n } else if (dataRef.current?.yLayout === HeatmapCellLayout.ge) {\n scaleMax += bucketSize!;\n } else {\n scaleMin -= bucketSize! / 2;\n scaleMax += bucketSize! / 2;\n }\n } else {\n // how to expand scale range if inferred non-regular or log buckets?\n }\n\n if (!isOrdinalY) {\n scaleMin = explicitMin ?? scaleMin;\n scaleMax = explicitMax ?? scaleMax;\n }\n }\n\n return [scaleMin, scaleMax];\n },\n });\n\n const dispY = yField.display ?? getValueFormat('short');\n\n builder.addAxis({\n scaleKey: yScaleKey,\n show: yAxisConfig.axisPlacement !== AxisPlacement.Hidden,\n placement: yAxisConfig.axisPlacement || AxisPlacement.Left,\n size: yAxisConfig.axisWidth || null,\n label: yAxisConfig.axisLabel,\n theme: theme,\n formatValue: (v, decimals) => formattedValueToString(dispY(v, decimals)),\n splits: isOrdinalY\n ? (self: uPlot) => {\n const meta = readHeatmapRowsCustomMeta(dataRef.current?.heatmap);\n if (!meta.yOrdinalDisplay) {\n return [0, 1]; //?\n }\n let splits = meta.yOrdinalDisplay.map((v, idx) => idx);\n\n switch (dataRef.current?.yLayout) {\n case HeatmapCellLayout.le:\n splits.unshift(-1);\n break;\n case HeatmapCellLayout.ge:\n splits.push(splits.length);\n break;\n }\n\n // Skip labels when the height is too small\n if (self.height < 60) {\n splits = [splits[0], splits[splits.length - 1]];\n } else {\n while (splits.length > 3 && (self.height - 15) / splits.length < 10) {\n splits = splits.filter((v, idx) => idx % 2 === 0); // remove half the items\n }\n }\n return splits;\n }\n : undefined,\n values: isOrdinalY\n ? (self: uPlot, splits) => {\n const meta = readHeatmapRowsCustomMeta(dataRef.current?.heatmap);\n if (meta.yOrdinalDisplay) {\n return splits.map((v) =>\n v < 0\n ? meta.yMinDisplay ?? '' // Check prometheus style labels\n : meta.yOrdinalDisplay[v] ?? ''\n );\n }\n return splits;\n }\n : undefined,\n });\n\n const pathBuilder = isSparseHeatmap ? heatmapPathsSparse : heatmapPathsDense;\n\n // heatmap layer\n builder.addSeries({\n facets: [\n {\n scale: xScaleKey,\n auto: true,\n sorted: 1,\n },\n {\n scale: yScaleKey,\n auto: true,\n },\n ],\n pathBuilder: pathBuilder({\n each: (u, seriesIdx, dataIdx, x, y, xSize, ySize) => {\n qt.add({\n x: x - u.bbox.left,\n y: y - u.bbox.top,\n w: xSize,\n h: ySize,\n sidx: seriesIdx,\n didx: dataIdx,\n });\n },\n gap: cellGap,\n hideLE,\n hideGE,\n xAlign:\n dataRef.current?.xLayout === HeatmapCellLayout.le\n ? -1\n : dataRef.current?.xLayout === HeatmapCellLayout.ge\n ? 1\n : 0,\n yAlign: ((dataRef.current?.yLayout === HeatmapCellLayout.le\n ? -1\n : dataRef.current?.yLayout === HeatmapCellLayout.ge\n ? 1\n : 0) * (yAxisReverse ? -1 : 1)) as -1 | 0 | 1,\n ySizeDivisor,\n disp: {\n fill: {\n values: (u, seriesIdx) => dataRef.current?.heatmapColors?.values!,\n index: dataRef.current?.heatmapColors?.palette!,\n },\n },\n }),\n theme,\n scaleKey: '', // facets' scales used (above)\n });\n\n // exemplars layer\n builder.addSeries({\n facets: [\n {\n scale: xScaleKey,\n auto: true,\n sorted: 1,\n },\n {\n scale: yScaleKey,\n auto: true,\n },\n ],\n pathBuilder: heatmapPathsPoints(\n {\n each: (u, seriesIdx, dataIdx, x, y, xSize, ySize) => {\n qt.add({\n x: x - u.bbox.left,\n y: y - u.bbox.top,\n w: xSize,\n h: ySize,\n sidx: seriesIdx,\n didx: dataIdx,\n });\n },\n },\n exemplarFillColor\n ),\n theme,\n scaleKey: '', // facets' scales used (above)\n });\n\n const cursor: Cursor = {\n drag: {\n x: true,\n y: false,\n setScale: false,\n },\n dataIdx: (u, seriesIdx) => {\n if (seriesIdx === 1) {\n hRect = null;\n\n let cx = u.cursor.left! * pxRatio;\n let cy = u.cursor.top! * pxRatio;\n\n qt.get(cx, cy, 1, 1, (o) => {\n if (pointWithin(cx, cy, o.x, o.y, o.x + o.w, o.y + o.h)) {\n hRect = o;\n }\n });\n }\n\n return hRect && seriesIdx === hRect.sidx ? hRect.didx : null;\n },\n points: {\n fill: 'rgba(255,255,255, 0.3)',\n bbox: (u, seriesIdx) => {\n let isHovered = hRect && seriesIdx === hRect.sidx;\n\n return {\n left: isHovered ? hRect!.x / pxRatio : -10,\n top: isHovered ? hRect!.y / pxRatio : -10,\n width: isHovered ? hRect!.w / pxRatio : 0,\n height: isHovered ? hRect!.h / pxRatio : 0,\n };\n },\n },\n };\n\n if (sync && sync() !== DashboardCursorSync.Off) {\n cursor.sync = {\n key: eventsScope,\n scales: [xScaleKey, null],\n filters: {\n pub: (type: string, src: uPlot, x: number, y: number, w: number, h: number, dataIdx: number) => {\n if (x < 0) {\n payload.point[xScaleUnit] = null;\n eventBus.publish(new DataHoverClearEvent());\n } else {\n payload.point[xScaleUnit] = src.posToVal(x, xScaleKey);\n eventBus.publish(hoverEvent);\n }\n\n return true;\n },\n },\n };\n\n builder.setSync();\n }\n\n builder.setCursor(cursor);\n\n return builder;\n}\n\nconst CRISP_EDGES_GAP_MIN = 4;\n\nexport function heatmapPathsDense(opts: PathbuilderOpts) {\n const { disp, each, gap = 1, hideLE = -Infinity, hideGE = Infinity, xAlign = 1, yAlign = 1, ySizeDivisor = 1 } = opts;\n\n const pxRatio = devicePixelRatio;\n\n const round = gap! >= CRISP_EDGES_GAP_MIN ? Math.round : (v: number) => v;\n\n const cellGap = Math.round(gap! * pxRatio);\n\n return (u: uPlot, seriesIdx: number) => {\n uPlot.orient(\n u,\n seriesIdx,\n (\n series,\n dataX,\n dataY,\n scaleX,\n scaleY,\n valToPosX,\n valToPosY,\n xOff,\n yOff,\n xDim,\n yDim,\n moveTo,\n lineTo,\n rect,\n arc\n ) => {\n let d = u.data[seriesIdx];\n const xs = d[0] as unknown as number[];\n const ys = d[1] as unknown as number[];\n const counts = d[2] as unknown as number[];\n const dlen = xs.length;\n\n // fill colors are mapped from interpolating densities / counts along some gradient\n // (should be quantized to 64 colors/levels max. e.g. 16)\n let fills = disp.fill.values(u, seriesIdx);\n let fillPalette = disp.fill.index ?? [...new Set(fills)];\n\n let fillPaths = fillPalette.map((color) => new Path2D());\n\n // detect x and y bin qtys by detecting layout repetition in x & y data\n let yBinQty = dlen - ys.lastIndexOf(ys[0]);\n let xBinQty = dlen / yBinQty;\n let yBinIncr = ys[1] - ys[0] || scaleY.max! - scaleY.min!;\n let xBinIncr = xs[yBinQty] - xs[0];\n\n // uniform tile sizes based on zoom level\n let xSize: number;\n let ySize: number;\n\n if (scaleX.distr === 3) {\n xSize = Math.abs(valToPosX(xs[0] * scaleX.log!, scaleX, xDim, xOff) - valToPosX(xs[0], scaleX, xDim, xOff));\n } else {\n xSize = Math.abs(valToPosX(xBinIncr, scaleX, xDim, xOff) - valToPosX(0, scaleX, xDim, xOff));\n }\n\n if (scaleY.distr === 3) {\n ySize =\n Math.abs(valToPosY(ys[0] * scaleY.log!, scaleY, yDim, yOff) - valToPosY(ys[0], scaleY, yDim, yOff)) /\n ySizeDivisor;\n } else {\n ySize = Math.abs(valToPosY(yBinIncr, scaleY, yDim, yOff) - valToPosY(0, scaleY, yDim, yOff)) / ySizeDivisor;\n }\n\n // clamp min tile size to 1px\n xSize = Math.max(1, round(xSize - cellGap));\n ySize = Math.max(1, round(ySize - cellGap));\n\n // bucket agg direction\n // let xCeil = false;\n // let yCeil = false;\n\n let xOffset = xAlign === -1 ? -xSize : xAlign === 0 ? -xSize / 2 : 0;\n let yOffset = yAlign === 1 ? -ySize : yAlign === 0 ? -ySize / 2 : 0;\n\n // pre-compute x and y offsets\n let cys = ys.slice(0, yBinQty).map((y) => round(valToPosY(y, scaleY, yDim, yOff) + yOffset));\n let cxs = Array.from({ length: xBinQty }, (v, i) =>\n round(valToPosX(xs[i * yBinQty], scaleX, xDim, xOff) + xOffset)\n );\n\n for (let i = 0; i < dlen; i++) {\n if (counts[i] > hideLE && counts[i] < hideGE) {\n let cx = cxs[~~(i / yBinQty)];\n let cy = cys[i % yBinQty];\n\n let fillPath = fillPaths[fills[i]];\n\n rect(fillPath, cx, cy, xSize, ySize);\n\n each(u, 1, i, cx, cy, xSize, ySize);\n }\n }\n\n u.ctx.save();\n //\tu.ctx.globalAlpha = 0.8;\n u.ctx.rect(u.bbox.left, u.bbox.top, u.bbox.width, u.bbox.height);\n u.ctx.clip();\n fillPaths.forEach((p, i) => {\n u.ctx.fillStyle = fillPalette[i];\n u.ctx.fill(p);\n });\n u.ctx.restore();\n\n return null;\n }\n );\n\n return null;\n };\n}\n\nexport function heatmapPathsPoints(opts: PointsBuilderOpts, exemplarColor: string) {\n return (u: uPlot, seriesIdx: number) => {\n uPlot.orient(\n u,\n seriesIdx,\n (\n series,\n dataX,\n dataY,\n scaleX,\n scaleY,\n valToPosX,\n valToPosY,\n xOff,\n yOff,\n xDim,\n yDim,\n moveTo,\n lineTo,\n rect,\n arc\n ) => {\n //console.time('heatmapPathsSparse');\n\n let points = new Path2D();\n let fillPaths = [points];\n let fillPalette = [exemplarColor ?? 'rgba(255,0,255,0.7)'];\n\n for (let i = 0; i < dataX.length; i++) {\n let yVal = dataY[i]!;\n\n // this is a hacky by-proxy check\n // works okay since we have no exemplars in calculated heatmaps and...\n // - heatmap-rows has ordinal y\n // - heatmap-cells has log2 y\n let isSparseHeatmap = scaleY.distr === 3 && scaleY.log === 2;\n\n if (!isSparseHeatmap) {\n yVal -= 0.5; // center vertically in bucket (when tiles are le)\n // y-randomize vertically to distribute exemplars in same bucket at same time\n let randSign = Math.round(Math.random()) * 2 - 1;\n yVal += randSign * 0.5 * Math.random();\n }\n\n let x = valToPosX(dataX[i], scaleX, xDim, xOff);\n let y = valToPosY(yVal, scaleY, yDim, yOff);\n let w = 8;\n let h = 8;\n\n rect(points, x - w / 2, y - h / 2, w, h);\n\n opts.each(u, seriesIdx, i, x - w / 2, y - h / 2, w, h);\n }\n\n u.ctx.save();\n u.ctx.rect(u.bbox.left, u.bbox.top, u.bbox.width, u.bbox.height);\n u.ctx.clip();\n fillPaths.forEach((p, i) => {\n u.ctx.fillStyle = fillPalette[i];\n u.ctx.fill(p);\n });\n u.ctx.restore();\n }\n );\n\n return null;\n };\n}\n// accepts xMax, yMin, yMax, count\n// xbinsize? x tile sizes are uniform?\nexport function heatmapPathsSparse(opts: PathbuilderOpts) {\n const { disp, each, gap = 1, hideLE = -Infinity, hideGE = Infinity } = opts;\n\n const pxRatio = devicePixelRatio;\n\n const round = gap! >= CRISP_EDGES_GAP_MIN ? Math.round : (v: number) => v;\n\n const cellGap = Math.round(gap! * pxRatio);\n\n return (u: uPlot, seriesIdx: number) => {\n uPlot.orient(\n u,\n seriesIdx,\n (\n series,\n dataX,\n dataY,\n scaleX,\n scaleY,\n valToPosX,\n valToPosY,\n xOff,\n yOff,\n xDim,\n yDim,\n moveTo,\n lineTo,\n rect,\n arc\n ) => {\n //console.time('heatmapPathsSparse');\n\n let d = u.data[seriesIdx];\n const xMaxs = d[0] as unknown as number[]; // xMax, do we get interval?\n const yMins = d[1] as unknown as number[];\n const yMaxs = d[2] as unknown as number[];\n const counts = d[3] as unknown as number[];\n const dlen = xMaxs.length;\n\n // fill colors are mapped from interpolating densities / counts along some gradient\n // (should be quantized to 64 colors/levels max. e.g. 16)\n let fills = disp.fill.values(u, seriesIdx);\n let fillPalette = disp.fill.index ?? [...new Set(fills)];\n\n let fillPaths = fillPalette.map((color) => new Path2D());\n\n // cache all tile bounds\n let xOffs = new Map();\n let yOffs = new Map();\n\n for (let i = 0; i < xMaxs.length; i++) {\n let xMax = xMaxs[i];\n let yMin = yMins[i];\n let yMax = yMaxs[i];\n\n if (!xOffs.has(xMax)) {\n xOffs.set(xMax, round(valToPosX(xMax, scaleX, xDim, xOff)));\n }\n\n if (!yOffs.has(yMin)) {\n yOffs.set(yMin, round(valToPosY(yMin, scaleY, yDim, yOff)));\n }\n\n if (!yOffs.has(yMax)) {\n yOffs.set(yMax, round(valToPosY(yMax, scaleY, yDim, yOff)));\n }\n }\n\n // uniform x size (interval, step)\n let xSizeUniform = xOffs.get(xMaxs.find((v) => v !== xMaxs[0])) - xOffs.get(xMaxs[0]);\n\n for (let i = 0; i < dlen; i++) {\n if (counts[i] <= hideLE || counts[i] >= hideGE) {\n continue;\n }\n\n let xMax = xMaxs[i];\n let yMin = yMins[i];\n let yMax = yMaxs[i];\n\n let xMaxPx = xOffs.get(xMax); // xSize is from interval, or inferred delta?\n let yMinPx = yOffs.get(yMin);\n let yMaxPx = yOffs.get(yMax);\n\n let xSize = xSizeUniform;\n let ySize = yMinPx - yMaxPx;\n\n // clamp min tile size to 1px\n xSize = Math.max(1, xSize - cellGap);\n ySize = Math.max(1, ySize - cellGap);\n\n let x = xMaxPx - cellGap / 2 - xSize;\n let y = yMaxPx + cellGap / 2;\n\n let fillPath = fillPaths[fills[i]];\n\n rect(fillPath, x, y, xSize, ySize);\n\n each(u, 1, i, x, y, xSize, ySize);\n }\n\n u.ctx.save();\n //\tu.ctx.globalAlpha = 0.8;\n u.ctx.rect(u.bbox.left, u.bbox.top, u.bbox.width, u.bbox.height);\n u.ctx.clip();\n fillPaths.forEach((p, i) => {\n u.ctx.fillStyle = fillPalette[i];\n u.ctx.fill(p);\n });\n u.ctx.restore();\n\n //console.timeEnd('heatmapPathsSparse');\n }\n );\n\n return null;\n };\n}\n\nexport const boundedMinMax = (\n values: number[],\n minValue?: number,\n maxValue?: number,\n hideLE = -Infinity,\n hideGE = Infinity\n) => {\n if (minValue == null) {\n minValue = Infinity;\n\n for (let i = 0; i < values.length; i++) {\n if (values[i] > hideLE && values[i] < hideGE) {\n minValue = Math.min(minValue, values[i]);\n }\n }\n }\n\n if (maxValue == null) {\n maxValue = -Infinity;\n\n for (let i = 0; i < values.length; i++) {\n if (values[i] > hideLE && values[i] < hideGE) {\n maxValue = Math.max(maxValue, values[i]);\n }\n }\n }\n\n return [minValue, maxValue];\n};\n\nexport const valuesToFills = (values: number[], palette: string[], minValue: number, maxValue: number): number[] => {\n let range = maxValue - minValue || 1;\n\n let paletteSize = palette.length;\n\n let indexedFills = Array(values.length);\n\n for (let i = 0; i < values.length; i++) {\n indexedFills[i] =\n values[i] < minValue\n ? 0\n : values[i] > maxValue\n ? paletteSize - 1\n : Math.min(paletteSize - 1, Math.floor((paletteSize * (values[i] - minValue)) / range));\n }\n\n return indexedFills;\n};\n","import {\n cacheFieldDisplayNames,\n DataFrame,\n DataFrameType,\n Field,\n FieldType,\n formattedValueToString,\n getDisplayProcessor,\n GrafanaTheme2,\n InterpolateFunction,\n LinkModel,\n outerJoinDataFrames,\n ValueFormatter,\n ValueLinkConfig,\n} from '@grafana/data';\nimport { config } from '@grafana/runtime';\nimport { HeatmapCellLayout } from '@grafana/schema';\nimport {\n calculateHeatmapFromData,\n isHeatmapCellsDense,\n readHeatmapRowsCustomMeta,\n rowsToCellsHeatmap,\n} from 'app/features/transformers/calculateHeatmap/heatmap';\nimport { parseSampleValue, sortSeriesByLabel } from 'app/plugins/datasource/prometheus/result_transformer';\n\nimport { CellValues, Options } from './types';\nimport { boundedMinMax, valuesToFills } from './utils';\n\nexport interface HeatmapData {\n heatmap?: DataFrame; // data we will render\n heatmapColors?: {\n // quantized palette\n palette: string[];\n // indices into palette\n values: number[];\n\n // color scale range\n minValue: number;\n maxValue: number;\n };\n\n exemplars?: DataFrame; // optionally linked exemplars\n exemplarColor?: string;\n\n xBucketSize?: number;\n yBucketSize?: number;\n\n xBucketCount?: number;\n yBucketCount?: number;\n\n xLayout?: HeatmapCellLayout;\n yLayout?: HeatmapCellLayout;\n\n xLog?: number;\n yLog?: number;\n\n xLogSplit?: number;\n yLogSplit?: number;\n\n // Print a heatmap cell value\n display?: (v: number) => string;\n\n // Errors\n warning?: string;\n}\n\nexport function prepareHeatmapData(\n frames: DataFrame[],\n annotations: DataFrame[] | undefined,\n options: Options,\n palette: string[],\n theme: GrafanaTheme2,\n getFieldLinks?: (exemplars: DataFrame, field: Field) => (config: ValueLinkConfig) => Array<LinkModel<Field>>,\n replaceVariables?: InterpolateFunction\n): HeatmapData {\n if (!frames?.length) {\n return {};\n }\n\n cacheFieldDisplayNames(frames);\n\n const exemplars = annotations?.find((f) => f.name === 'exemplar');\n\n if (getFieldLinks) {\n exemplars?.fields.forEach((field, index) => {\n exemplars.fields[index].getLinks = getFieldLinks(exemplars, field);\n });\n }\n\n if (options.calculate) {\n if (config.featureToggles.transformationsVariableSupport) {\n const optionsCopy = {\n ...options,\n calculation: {\n xBuckets: { ...options.calculation?.xBuckets } ?? undefined,\n yBuckets: { ...options.calculation?.yBuckets } ?? undefined,\n },\n };\n\n if (optionsCopy.calculation?.xBuckets?.value && replaceVariables !== undefined) {\n optionsCopy.calculation.xBuckets.value = replaceVariables(optionsCopy.calculation.xBuckets.value);\n }\n\n if (optionsCopy.calculation?.yBuckets?.value && replaceVariables !== undefined) {\n optionsCopy.calculation.yBuckets.value = replaceVariables(optionsCopy.calculation.yBuckets.value);\n }\n\n return getDenseHeatmapData(\n calculateHeatmapFromData(frames, optionsCopy.calculation ?? {}),\n exemplars,\n optionsCopy,\n palette,\n theme\n );\n }\n\n return getDenseHeatmapData(\n calculateHeatmapFromData(frames, options.calculation ?? {}),\n exemplars,\n options,\n palette,\n theme\n );\n }\n\n // Check for known heatmap types\n let rowsHeatmap: DataFrame | undefined = undefined;\n for (const frame of frames) {\n switch (frame.meta?.type) {\n case DataFrameType.HeatmapCells:\n return isHeatmapCellsDense(frame)\n ? getDenseHeatmapData(frame, exemplars, options, palette, theme)\n : getSparseHeatmapData(frame, exemplars, options, palette, theme);\n\n case DataFrameType.HeatmapRows:\n rowsHeatmap = frame; // the default format\n }\n }\n\n // Everything past here assumes a field for each row in the heatmap (buckets)\n if (!rowsHeatmap) {\n if (frames.length > 1) {\n let allNamesNumeric = frames.every(\n (frame) => !Number.isNaN(parseSampleValue(frame.fields[1].state?.displayName!))\n );\n\n if (allNamesNumeric) {\n frames.sort(sortSeriesByLabel);\n }\n\n rowsHeatmap = [\n outerJoinDataFrames({\n frames,\n })!,\n ][0];\n } else {\n let frame = frames[0];\n let numberFields = frame.fields.filter((field) => field.type === FieldType.number);\n let allNamesNumeric = numberFields.every((field) => !Number.isNaN(parseSampleValue(field.state?.displayName!)));\n\n if (allNamesNumeric) {\n numberFields.sort((a, b) => parseSampleValue(a.state?.displayName!) - parseSampleValue(b.state?.displayName!));\n\n rowsHeatmap = {\n ...frame,\n fields: [frame.fields.find((f) => f.type === FieldType.time)!, ...numberFields],\n };\n } else {\n rowsHeatmap = frame;\n }\n }\n }\n\n return getDenseHeatmapData(\n rowsToCellsHeatmap({\n unit: options.yAxis?.unit, // used to format the ordinal lookup values\n decimals: options.yAxis?.decimals,\n ...options.rowsFrame,\n frame: rowsHeatmap,\n }),\n exemplars,\n options,\n palette,\n theme\n );\n}\n\nconst getSparseHeatmapData = (\n frame: DataFrame,\n exemplars: DataFrame | undefined,\n options: Options,\n palette: string[],\n theme: GrafanaTheme2\n): HeatmapData => {\n if (frame.meta?.type !== DataFrameType.HeatmapCells || isHeatmapCellsDense(frame)) {\n return {\n warning: 'Expected sparse heatmap format',\n heatmap: frame,\n };\n }\n\n // y axis tick label display\n updateFieldDisplay(frame.fields[1], options.yAxis, theme);\n\n const valueField = frame.fields[3];\n\n // cell value display\n const disp = updateFieldDisplay(valueField, options.cellValues, theme);\n\n let [minValue, maxValue] = boundedMinMax(\n valueField.values,\n options.color.min,\n options.color.max,\n options.filterValues?.le,\n options.filterValues?.ge\n );\n\n return {\n heatmap: frame,\n heatmapColors: {\n palette,\n values: valuesToFills(valueField.values, palette, minValue, maxValue),\n minValue,\n maxValue,\n },\n exemplars,\n display: (v) => formattedValueToString(disp(v)),\n };\n};\n\nconst getDenseHeatmapData = (\n frame: DataFrame,\n exemplars: DataFrame | undefined,\n options: Options,\n palette: string[],\n theme: GrafanaTheme2\n): HeatmapData => {\n if (frame.meta?.type !== DataFrameType.HeatmapCells) {\n return {\n warning: 'Expected heatmap scanlines format',\n heatmap: frame,\n };\n }\n\n if (frame.fields.length < 2 || frame.length < 2) {\n return { heatmap: frame };\n }\n\n const meta = readHeatmapRowsCustomMeta(frame);\n let xName: string | undefined = undefined;\n let yName: string | undefined = undefined;\n let valueField: Field | undefined = undefined;\n\n // validate field display properties\n for (const field of frame.fields) {\n switch (field.name) {\n case 'y':\n yName = field.name;\n\n case 'yMin':\n case 'yMax': {\n if (!yName) {\n yName = field.name;\n }\n if (meta.yOrdinalDisplay == null) {\n updateFieldDisplay(field, options.yAxis, theme);\n }\n break;\n }\n\n case 'x':\n case 'xMin':\n case 'xMax':\n xName = field.name;\n break;\n\n default: {\n if (field.type === FieldType.number && !valueField) {\n valueField = field;\n }\n }\n }\n }\n\n if (!yName) {\n return { warning: 'Missing Y field', heatmap: frame };\n }\n if (!yName) {\n return { warning: 'Missing X field', heatmap: frame };\n }\n if (!valueField) {\n return { warning: 'Missing value field', heatmap: frame };\n }\n\n const disp = updateFieldDisplay(valueField, options.cellValues, theme);\n\n // infer bucket sizes from data (for now)\n // the 'heatmap-scanlines' dense frame format looks like:\n // x: 1,1,1,1,2,2,2,2\n // y: 3,4,5,6,3,4,5,6\n // count: 0,0,0,7,0,3,0,1\n\n const xs = frame.fields[0].values;\n const ys = frame.fields[1].values;\n const dlen = xs.length;\n\n // below is literally copy/paste from the pathBuilder code in utils.ts\n // detect x and y bin qtys by detecting layout repetition in x & y data\n let yBinQty = dlen - ys.lastIndexOf(ys[0]);\n let xBinQty = dlen / yBinQty;\n let yBinIncr = ys[1] - ys[0];\n let xBinIncr = xs[yBinQty] - xs[0];\n\n let [minValue, maxValue] = boundedMinMax(\n valueField.values,\n options.color.min,\n options.color.max,\n options.filterValues?.le,\n options.filterValues?.ge\n );\n\n let calcX = options.calculation?.xBuckets;\n let calcY = options.calculation?.yBuckets;\n\n const data: HeatmapData = {\n heatmap: frame,\n heatmapColors: {\n palette,\n values: valuesToFills(valueField.values, palette, minValue, maxValue),\n minValue,\n maxValue,\n },\n\n exemplars: exemplars?.length ? exemplars : undefined,\n xBucketSize: xBinIncr,\n yBucketSize: yBinIncr,\n xBucketCount: xBinQty,\n yBucketCount: yBinQty,\n\n yLog: calcY?.scale?.log ?? 0,\n xLog: calcX?.scale?.log ?? 0,\n\n xLogSplit: calcX?.scale?.log ? +(calcX?.value ?? '1') : 1,\n yLogSplit: calcY?.scale?.log ? +(calcY?.value ?? '1') : 1,\n\n // TODO: improve heuristic\n xLayout:\n xName === 'xMax' ? HeatmapCellLayout.le : xName === 'xMin' ? HeatmapCellLayout.ge : HeatmapCellLayout.unknown,\n yLayout:\n yName === 'yMax' ? HeatmapCellLayout.le : yName === 'yMin' ? HeatmapCellLayout.ge : HeatmapCellLayout.unknown,\n\n display: (v) => formattedValueToString(disp(v)),\n };\n\n return data;\n};\n\nfunction updateFieldDisplay(field: Field, opts: CellValues | undefined, theme: GrafanaTheme2): ValueFormatter {\n if (opts?.unit?.length || opts?.decimals != null) {\n const { unit, decimals } = opts;\n field.display = undefined;\n field.config = { ...field.config };\n if (unit?.length) {\n field.config.unit = unit;\n }\n if (decimals != null) {\n field.config.decimals = decimals;\n }\n }\n if (!field.display) {\n field.display = getDisplayProcessor({ field, theme });\n }\n return field.display;\n}\n","import * as d3 from 'd3';\nimport * as d3ScaleChromatic from 'd3-scale-chromatic';\nimport tinycolor from 'tinycolor2';\n\nimport { GrafanaTheme2 } from '@grafana/data';\n\nimport { HeatmapColorOptions, defaultOptions, HeatmapColorMode, HeatmapColorScale } from './types';\n\n// https://observablehq.com/@d3/color-schemes?collection=@d3/d3-scale-chromatic\n\n// the previous heatmap panel used d3 deps and some code to interpolate to static 9-color palettes. here we just hard-code them for clarity.\n// if the need arises for configurable-sized palettes, we can bring back the deps & variable interpolation (see simplified code at end)\n\n// Schemes from d3-scale-chromatic\n// https://github.com/d3/d3-scale-chromatic\nexport const colorSchemes = [\n // Diverging\n { name: 'BrBG', invert: 'always' },\n { name: 'PiYG', invert: 'always' },\n { name: 'PRGn', invert: 'always' },\n { name: 'PuOr', invert: 'always' },\n { name: 'RdBu', invert: 'always' },\n { name: 'RdGy', invert: 'always' },\n { name: 'RdYlBu', invert: 'always' },\n { name: 'RdYlGn', invert: 'always' },\n { name: 'Spectral', invert: 'always' },\n\n // Sequential (Single Hue)\n { name: 'Blues', invert: 'dark' },\n { name: 'Greens', invert: 'dark' },\n { name: 'Greys', invert: 'dark' },\n { name: 'Oranges', invert: 'dark' },\n { name: 'Purples', invert: 'dark' },\n { name: 'Reds', invert: 'dark' },\n\n // Sequential (Multi-Hue)\n { name: 'Turbo', invert: 'light' },\n { name: 'Cividis', invert: 'light' },\n { name: 'Viridis', invert: 'light' },\n { name: 'Magma', invert: 'light' },\n { name: 'Inferno', invert: 'light' },\n { name: 'Plasma', invert: 'light' },\n { name: 'Warm', invert: 'light' },\n { name: 'Cool', invert: 'light' },\n { name: 'Cubehelix', invert: 'light', name2: 'CubehelixDefault' },\n { name: 'BuGn', invert: 'dark' },\n { name: 'BuPu', invert: 'dark' },\n { name: 'GnBu', invert: 'dark' },\n { name: 'OrRd', invert: 'dark' },\n { name: 'PuBuGn', invert: 'dark' },\n { name: 'PuBu', invert: 'dark' },\n { name: 'PuRd', invert: 'dark' },\n { name: 'RdPu', invert: 'dark' },\n { name: 'YlGnBu', invert: 'dark' },\n { name: 'YlGn', invert: 'dark' },\n { name: 'YlOrBr', invert: 'dark' },\n { name: 'YlOrRd', invert: 'dark' },\n\n // Cyclical\n { name: 'Rainbow', invert: 'always' },\n { name: 'Sinebow', invert: 'always' },\n];\n\ntype Interpolator = (t: number) => string;\n\nconst DEFAULT_SCHEME = colorSchemes.find((scheme) => scheme.name === 'Spectral');\n\nexport function quantizeScheme(opts: HeatmapColorOptions, theme: GrafanaTheme2): string[] {\n const options = { ...defaultOptions.color, ...opts };\n const palette = [];\n const steps = (options.steps ?? 128) - 1;\n\n if (opts.mode === HeatmapColorMode.Opacity) {\n const fill = tinycolor(theme.visualization.getColorByName(opts.fill)).toPercentageRgb();\n\n const scale =\n options.scale === HeatmapColorScale.Exponential\n ? d3.scalePow().exponent(options.exponent).domain([0, 1]).range([0, 1])\n : d3.scaleLinear().domain([0, 1]).range([0, 1]);\n\n for (let i = 0; i <= steps; i++) {\n fill.a = scale(i / steps);\n palette.push(tinycolor(fill).toString('hex8'));\n }\n } else {\n const scheme = colorSchemes.find((scheme) => scheme.name === options.scheme) ?? DEFAULT_SCHEME!;\n let fnName = 'interpolate' + (scheme.name2 ?? scheme.name);\n const interpolate: Interpolator = (d3ScaleChromatic as any)[fnName];\n\n for (let i = 0; i <= steps; i++) {\n let rgbStr = interpolate(i / steps);\n let rgb =\n rgbStr.indexOf('rgb') === 0\n ? '#' + [...rgbStr.matchAll(/\\d+/g)].map((v) => (+v[0]).toString(16).padStart(2, '0')).join('')\n : rgbStr;\n palette.push(rgb);\n }\n\n if (\n scheme.invert === 'always' ||\n (scheme.invert === 'dark' && theme.isDark) ||\n (scheme.invert === 'light' && theme.isLight)\n ) {\n palette.reverse();\n }\n\n if (opts.reverse) {\n palette.reverse();\n }\n }\n\n return palette;\n}\n","import { css } from '@emotion/css';\nimport React, { useCallback, useMemo, useRef, useState } from 'react';\n\nimport {\n DashboardCursorSync,\n DataFrame,\n DataFrameType,\n Field,\n getLinksSupplier,\n GrafanaTheme2,\n PanelProps,\n ScopedVars,\n TimeRange,\n} from '@grafana/data';\nimport { config, PanelDataErrorView } from '@grafana/runtime';\nimport { ScaleDistributionConfig } from '@grafana/schema';\nimport {\n Portal,\n ScaleDistribution,\n TooltipPlugin2,\n TooltipDisplayMode,\n ZoomPlugin,\n UPlotChart,\n usePanelContext,\n useStyles2,\n useTheme2,\n VizLayout,\n VizTooltipContainer,\n} from '@grafana/ui';\nimport { TimeRange2, TooltipHoverMode } from '@grafana/ui/src/components/uPlot/plugins/TooltipPlugin2';\nimport { ColorScale } from 'app/core/components/ColorScale/ColorScale';\nimport { isHeatmapCellsDense, readHeatmapRowsCustomMeta } from 'app/features/transformers/calculateHeatmap/heatmap';\n\nimport { AnnotationsPlugin2 } from '../timeseries/plugins/AnnotationsPlugin2';\n\nimport { ExemplarModalHeader } from './ExemplarModalHeader';\nimport { HeatmapHoverView } from './HeatmapHoverView';\nimport { HeatmapHoverView as HeatmapHoverViewOld } from './HeatmapHoverViewOld';\nimport { prepareHeatmapData } from './fields';\nimport { quantizeScheme } from './palettes';\nimport { Options } from './types';\nimport { HeatmapHoverEvent, prepConfig } from './utils';\n\ninterface HeatmapPanelProps extends PanelProps<Options> {}\n\nexport const HeatmapPanel = ({\n data,\n id,\n timeRange,\n timeZone,\n width,\n height,\n options,\n fieldConfig,\n eventBus,\n onChangeTimeRange,\n replaceVariables,\n}: HeatmapPanelProps) => {\n const theme = useTheme2();\n const styles = useStyles2(getStyles);\n const { sync, canAddAnnotations } = usePanelContext();\n\n // temp range set for adding new annotation set by TooltipPlugin2, consumed by AnnotationPlugin2\n const [newAnnotationRange, setNewAnnotationRange] = useState<TimeRange2 | null>(null);\n\n // necessary for enabling datalinks in hover view\n let scopedVarsFromRawData: ScopedVars[] = [];\n for (const series of data.series) {\n for (const field of series.fields) {\n if (field.state?.scopedVars) {\n scopedVarsFromRawData.push(field.state.scopedVars);\n }\n }\n }\n\n // ugh\n let timeRangeRef = useRef<TimeRange>(timeRange);\n timeRangeRef.current = timeRange;\n\n const getFieldLinksSupplier = useCallback(\n (exemplars: DataFrame, field: Field) => {\n return getLinksSupplier(exemplars, field, field.state?.scopedVars ?? {}, replaceVariables);\n },\n [replaceVariables]\n );\n\n const palette = useMemo(() => quantizeScheme(options.color, theme), [options.color, theme]);\n\n const info = useMemo(() => {\n try {\n return prepareHeatmapData(\n data.series,\n data.annotations,\n options,\n palette,\n theme,\n getFieldLinksSupplier,\n replaceVariables\n );\n } catch (ex) {\n return { warning: `${ex}` };\n }\n }, [data.series, data.annotations, options, palette, theme, getFieldLinksSupplier, replaceVariables]);\n\n const facets = useMemo(() => {\n let exemplarsXFacet: number[] | undefined = []; // \"Time\" field\n let exemplarsYFacet: Array<number | undefined> = [];\n\n const meta = readHeatmapRowsCustomMeta(info.heatmap);\n if (info.exemplars?.length) {\n exemplarsXFacet = info.exemplars?.fields[0].values;\n\n // render by match on ordinal y label\n if (meta.yMatchWithLabel) {\n // ordinal/labeled heatmap-buckets?\n const hasLabeledY = meta.yOrdinalDisplay != null;\n\n if (hasLabeledY) {\n let matchExemplarsBy = info.exemplars?.fields.find((field) => field.name === meta.yMatchWithLabel)!.values;\n exemplarsYFacet = matchExemplarsBy.map((label) => meta.yOrdinalLabel?.indexOf(label));\n } else {\n exemplarsYFacet = info.exemplars?.fields[1].values; // \"Value\" field\n }\n }\n // render by raw value\n else {\n exemplarsYFacet = info.exemplars?.fields[1].values; // \"Value\" field\n }\n }\n\n return [null, info.heatmap?.fields.map((f) => f.values), [exemplarsXFacet, exemplarsYFacet]];\n }, [info.heatmap, info.exemplars]);\n\n const [hover, setHover] = useState<HeatmapHoverEvent | undefined>(undefined);\n const [shouldDisplayCloseButton, setShouldDisplayCloseButton] = useState<boolean>(false);\n const isToolTipOpen = useRef<boolean>(false);\n\n const onCloseToolTip = () => {\n isToolTipOpen.current = false;\n setShouldDisplayCloseButton(false);\n onhover(null);\n };\n\n const onclick = () => {\n isToolTipOpen.current = !isToolTipOpen.current;\n\n // Linking into useState required to re-render tooltip\n setShouldDisplayCloseButton(isToolTipOpen.current);\n };\n\n const onhover = useCallback(\n (evt?: HeatmapHoverEvent | null) => {\n setHover(evt ?? undefined);\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n [options, data.structureRev]\n );\n\n // ugh\n const dataRef = useRef(info);\n dataRef.current = info;\n const showNewVizTooltips =\n config.featureToggles.newVizTooltips && (sync == null || sync() !== DashboardCursorSync.Tooltip);\n\n const builder = useMemo(() => {\n const scaleConfig: ScaleDistributionConfig = dataRef.current?.heatmap?.fields[1].config?.custom?.scaleDistribution;\n\n return prepConfig({\n dataRef,\n theme,\n eventBus,\n onhover: !showNewVizTooltips ? onhover : null,\n onclick: !showNewVizTooltips && options.tooltip.mode !== TooltipDisplayMode.None ? onclick : null,\n isToolTipOpen,\n timeZone,\n getTimeRange: () => timeRangeRef.current,\n sync,\n cellGap: options.cellGap,\n hideLE: options.filterValues?.le,\n hideGE: options.filterValues?.ge,\n exemplarColor: options.exemplars?.color ?? 'rgba(255,0,255,0.7)',\n yAxisConfig: options.yAxis,\n ySizeDivisor: scaleConfig?.type === ScaleDistribution.Log ? +(options.calculation?.yBuckets?.value || 1) : 1,\n });\n // eslint-disable-next-line react-hooks/exhaustive-deps\n }, [options, timeZone, data.structureRev]);\n\n const renderLegend = () => {\n if (!info.heatmap || !options.legend.show) {\n return null;\n }\n\n let heatmapType = dataRef.current?.heatmap?.meta?.type;\n let isSparseHeatmap = heatmapType === DataFrameType.HeatmapCells && !isHeatmapCellsDense(dataRef.current?.heatmap!);\n let countFieldIdx = !isSparseHeatmap ? 2 : 3;\n const countField = info.heatmap.fields[countFieldIdx];\n\n let hoverValue: number | undefined = undefined;\n // seriesIdx: 1 is heatmap layer; 2 is exemplar layer\n if (hover && info.heatmap.fields && hover.seriesIdx === 1) {\n hoverValue = countField.values[hover.dataIdx];\n }\n\n return (\n <VizLayout.Legend placement=\"bottom\" maxHeight=\"20%\">\n <div className={styles.colorScaleWrapper}>\n <ColorScale\n hoverValue={hoverValue}\n colorPalette={palette}\n min={dataRef.current.heatmapColors?.minValue!}\n max={dataRef.current.heatmapColors?.maxValue!}\n display={info.display}\n />\n </div>\n </VizLayout.Legend>\n );\n };\n\n if (info.warning || !info.heatmap) {\n return (\n <PanelDataErrorView\n panelId={id}\n fieldConfig={fieldConfig}\n data={data}\n needsNumberField={true}\n message={info.warning}\n />\n );\n }\n\n const enableAnnotationCreation = Boolean(canAddAnnotations && canAddAnnotations());\n\n return (\n <>\n <VizLayout width={width} height={height} legend={renderLegend()}>\n {(vizWidth: number, vizHeight: number) => (\n <UPlotChart config={builder} data={facets as any} width={vizWidth} height={vizHeight}>\n {!showNewVizTooltips && <ZoomPlugin config={builder} onZoom={onChangeTimeRange} />}\n {showNewVizTooltips && (\n <>\n {options.tooltip.mode !== TooltipDisplayMode.None && (\n <TooltipPlugin2\n config={builder}\n hoverMode={TooltipHoverMode.xyOne}\n queryZoom={onChangeTimeRange}\n render={(u, dataIdxs, seriesIdx, isPinned, dismiss, timeRange2, viaSync) => {\n if (viaSync) {\n return null;\n }\n\n if (enableAnnotationCreation && timeRange2 != null) {\n setNewAnnotationRange(timeRange2);\n dismiss();\n return;\n }\n\n const annotate = () => {\n let xVal = u.posToVal(u.cursor.left!, 'x');\n\n setNewAnnotationRange({ from: xVal, to: xVal });\n dismiss();\n };\n\n return (\n <HeatmapHoverView\n mode={options.tooltip.mode}\n dataIdxs={dataIdxs}\n seriesIdx={seriesIdx}\n dataRef={dataRef}\n isPinned={isPinned}\n dismiss={dismiss}\n showHistogram={options.tooltip.yHistogram}\n showColorScale={options.tooltip.showColorScale}\n panelData={data}\n replaceVars={replaceVariables}\n scopedVars={scopedVarsFromRawData}\n annotate={enableAnnotationCreation ? annotate : undefined}\n />\n );\n }}\n maxWidth={options.tooltip.maxWidth}\n maxHeight={options.tooltip.maxHeight}\n />\n )}\n <AnnotationsPlugin2\n annotations={data.annotations ?? []}\n config={builder}\n timeZone={timeZone}\n newRange={newAnnotationRange}\n setNewRange={setNewAnnotationRange}\n canvasRegionRendering={false}\n />\n </>\n )}\n </UPlotChart>\n )}\n </VizLayout>\n {!showNewVizTooltips && (\n <>\n <Portal>\n {hover && options.tooltip.mode !== TooltipDisplayMode.None && (\n <VizTooltipContainer\n position={{ x: hover.pageX, y: hover.pageY }}\n offset={{ x: 10, y: 10 }}\n allowPointerEvents={isToolTipOpen.current}\n >\n {shouldDisplayCloseButton && <ExemplarModalHeader onClick={onCloseToolTip} />}\n <HeatmapHoverViewOld\n timeRange={timeRange}\n data={info}\n hover={hover}\n showHistogram={options.tooltip.yHistogram}\n replaceVars={replaceVariables}\n scopedVars={scopedVarsFromRawData}\n />\n </VizTooltipContainer>\n )}\n </Portal>\n </>\n )}\n </>\n );\n};\n\nconst getStyles = (theme: GrafanaTheme2) => ({\n colorScaleWrapper: css({\n marginLeft: '25px',\n padding: '10px 0',\n maxWidth: '300px',\n }),\n});\n","import { FieldConfigSource, PanelModel, PanelTypeChangedHandler } from '@grafana/data';\nimport {\n AxisPlacement,\n ScaleDistribution,\n VisibilityMode,\n HeatmapCellLayout,\n HeatmapCalculationMode,\n HeatmapCalculationOptions,\n} from '@grafana/schema';\nimport { TooltipDisplayMode } from '@grafana/ui';\n\nimport { colorSchemes } from './palettes';\nimport { Options, defaultOptions, HeatmapColorMode } from './types';\n\n/** Called when the version number changes */\nexport const heatmapMigrationHandler = (panel: PanelModel): Partial<Options> => {\n // Migrating from angular\n if (Object.keys(panel.options ?? {}).length === 0) {\n return heatmapChangedHandler(panel, 'heatmap', { angular: panel }, panel.fieldConfig);\n }\n\n // multi tooltip mode in 10.3+\n let showTooltip = panel.options?.tooltip?.show;\n if (showTooltip !== undefined) {\n if (showTooltip === true) {\n panel.options.tooltip.mode = TooltipDisplayMode.Single;\n } else if (showTooltip === false) {\n panel.options.tooltip.mode = TooltipDisplayMode.None;\n }\n\n // Remove old tooltip option\n delete panel.options.tooltip?.show;\n }\n\n return panel.options;\n};\n\n/**\n * This is called when the panel changes from another panel\n */\nexport const heatmapChangedHandler: PanelTypeChangedHandler = (panel, prevPluginId, prevOptions, prevFieldConfig) => {\n if (prevPluginId === 'heatmap' && prevOptions.angular) {\n const { fieldConfig, options } = angularToReactHeatmap({\n ...prevOptions.angular,\n fieldConfig: prevFieldConfig,\n });\n panel.fieldConfig = fieldConfig; // Mutates the incoming panel\n return options;\n }\n // alpha for 8.5+, then beta at 9.0.1\n if (prevPluginId === 'heatmap-new') {\n const { bucketFrame, ...options } = panel.options;\n if (bucketFrame) {\n return { ...options, rowsFrame: bucketFrame };\n }\n return panel.options;\n }\n return {};\n};\n\nexport function angularToReactHeatmap(angular: any): { fieldConfig: FieldConfigSource; options: Options } {\n const fieldConfig: FieldConfigSource = {\n defaults: {},\n overrides: [],\n };\n\n const calculate = angular.dataFormat === 'tsbuckets' ? false : true;\n const calculation: HeatmapCalculationOptions = {\n ...defaultOptions.calculation,\n };\n\n const oldYAxis = { logBase: 1, ...angular.yAxis };\n\n if (calculate) {\n if (angular.xBucketSize) {\n calculation.xBuckets = { mode: HeatmapCalculationMode.Size, value: `${angular.xBucketSize}` };\n } else if (angular.xBucketNumber) {\n calculation.xBuckets = { mode: HeatmapCalculationMode.Count, value: `${angular.xBucketNumber}` };\n }\n\n if (angular.yBucketSize) {\n calculation.yBuckets = { mode: HeatmapCalculationMode.Size, value: `${angular.yBucketSize}` };\n } else if (angular.xBucketNumber) {\n calculation.yBuckets = { mode: HeatmapCalculationMode.Count, value: `${angular.yBucketNumber}` };\n }\n\n if (oldYAxis.logBase > 1) {\n calculation.yBuckets = {\n mode: HeatmapCalculationMode.Count,\n value: +oldYAxis.splitFactor > 0 ? `${oldYAxis.splitFactor}` : undefined,\n scale: {\n type: ScaleDistribution.Log,\n log: oldYAxis.logBase,\n },\n };\n }\n }\n\n const cellGap = asNumber(angular.cards?.cardPadding, 2);\n const options: Options = {\n calculate,\n calculation,\n color: {\n ...defaultOptions.color,\n steps: 128, // best match with existing colors\n },\n cellGap: cellGap ? cellGap : 1, // default to size 1\n cellRadius: asNumber(angular.cards?.cardRound), // just to keep it\n yAxis: {\n axisPlacement: oldYAxis.show === false ? AxisPlacement.Hidden : AxisPlacement.Left,\n reverse: Boolean(angular.reverseYBuckets),\n axisWidth: asNumber(oldYAxis.width),\n min: oldYAxis.min,\n max: oldYAxis.max,\n unit: oldYAxis.format,\n decimals: oldYAxis.decimals,\n },\n cellValues: {\n decimals: asNumber(angular.tooltipDecimals),\n },\n rowsFrame: {\n layout: getHeatmapCellLayout(angular.yBucketBound),\n },\n legend: {\n show: Boolean(angular.legend?.show),\n },\n showValue: VisibilityMode.Never,\n tooltip: {\n mode: Boolean(angular.tooltip?.show) ? TooltipDisplayMode.Single : TooltipDisplayMode.None,\n yHistogram: Boolean(angular.tooltip?.showHistogram),\n },\n exemplars: {\n ...defaultOptions.exemplars,\n },\n };\n\n if (angular.hideZeroBuckets) {\n options.filterValues = { ...defaultOptions.filterValues }; // min: 1e-9\n }\n\n // Migrate color options\n const color = angular.color ?? {};\n switch (color?.mode) {\n case 'spectrum': {\n options.color.mode = HeatmapColorMode.Scheme;\n\n const current: string = color.colorScheme;\n let scheme = colorSchemes.find((v) => v.name === current);\n if (!scheme) {\n scheme = colorSchemes.find((v) => current.indexOf(v.name) >= 0);\n }\n options.color.scheme = scheme ? scheme.name : defaultOptions.color.scheme;\n break;\n }\n case 'opacity': {\n options.color.mode = HeatmapColorMode.Opacity;\n options.color.scale = color.scale;\n break;\n }\n }\n options.color.fill = color.cardColor;\n options.color.min = color.min;\n options.color.max = color.max;\n\n if (typeof color.min === 'number' && typeof color.max === 'number' && color.min > color.max) {\n options.color.min = color.max;\n options.color.max = color.min;\n options.color.reverse = true;\n }\n\n return { fieldConfig, options };\n}\n\nfunction getHeatmapCellLayout(v?: string): HeatmapCellLayout {\n switch (v) {\n case 'upper':\n return HeatmapCellLayout.ge;\n case 'lower':\n return HeatmapCellLayout.le;\n case 'middle':\n return HeatmapCellLayout.unknown;\n }\n return HeatmapCellLayout.auto;\n}\n\nfunction asNumber(v: unknown, defaultValue?: number): number | undefined {\n if (v == null || v === '') {\n return defaultValue;\n }\n const num = +v;\n return isNaN(num) ? defaultValue : num;\n}\n","import { VisualizationSuggestionsBuilder } from '@grafana/data';\nimport { config } from '@grafana/runtime';\n\nimport { prepareHeatmapData } from './fields';\nimport { quantizeScheme } from './palettes';\nimport { Options, defaultOptions } from './types';\n\nexport class HeatmapSuggestionsSupplier {\n getSuggestionsForData(builder: VisualizationSuggestionsBuilder) {\n const { dataSummary } = builder;\n\n if (\n !builder.data?.series ||\n !dataSummary.hasData ||\n dataSummary.timeFieldCount < 1 ||\n dataSummary.numberFieldCount < 2 ||\n dataSummary.numberFieldCount > 10\n ) {\n return;\n }\n\n const palette = quantizeScheme(defaultOptions.color, config.theme2);\n const info = prepareHeatmapData(builder.data.series, undefined, defaultOptions, palette, config.theme2);\n if (!info || info.warning) {\n return;\n }\n\n builder.getListAppender<Options, {}>({\n name: '',\n pluginId: 'heatmap',\n options: {},\n fieldConfig: {\n defaults: {\n custom: {},\n },\n overrides: [],\n },\n });\n }\n}\n","import React from 'react';\n\nimport { FieldConfigProperty, FieldType, identityOverrideProcessor, PanelPlugin } from '@grafana/data';\nimport { config } from '@grafana/runtime';\nimport {\n AxisPlacement,\n GraphFieldConfig,\n ScaleDistribution,\n ScaleDistributionConfig,\n HeatmapCellLayout,\n} from '@grafana/schema';\nimport { TooltipDisplayMode } from '@grafana/ui';\nimport { addHideFrom, ScaleDistributionEditor } from '@grafana/ui/src/options/builder';\nimport { ColorScale } from 'app/core/components/ColorScale/ColorScale';\nimport { addHeatmapCalculationOptions } from 'app/features/transformers/calculateHeatmap/editor/helper';\nimport { readHeatmapRowsCustomMeta } from 'app/features/transformers/calculateHeatmap/heatmap';\n\nimport { HeatmapPanel } from './HeatmapPanel';\nimport { prepareHeatmapData } from './fields';\nimport { heatmapChangedHandler, heatmapMigrationHandler } from './migrations';\nimport { colorSchemes, quantizeScheme } from './palettes';\nimport { HeatmapSuggestionsSupplier } from './suggestions';\nimport { Options, defaultOptions, HeatmapColorMode, HeatmapColorScale } from './types';\n\nexport const plugin = new PanelPlugin<Options, GraphFieldConfig>(HeatmapPanel)\n .useFieldConfig({\n disableStandardOptions: Object.values(FieldConfigProperty).filter((v) => v !== FieldConfigProperty.Links),\n useCustomConfig: (builder) => {\n builder.addCustomEditor<void, ScaleDistributionConfig>({\n id: 'scaleDistribution',\n path: 'scaleDistribution',\n name: 'Y axis scale',\n category: ['Heatmap'],\n editor: ScaleDistributionEditor,\n override: ScaleDistributionEditor,\n defaultValue: { type: ScaleDistribution.Linear },\n shouldApply: (f) => f.type === FieldType.number,\n process: identityOverrideProcessor,\n hideFromDefaults: true,\n });\n addHideFrom(builder); // for tooltip etc\n },\n })\n .setPanelChangeHandler(heatmapChangedHandler)\n .setMigrationHandler(heatmapMigrationHandler)\n .setPanelOptions((builder, context) => {\n const opts = context.options ?? defaultOptions;\n\n let isOrdinalY = false;\n\n if (context.data.length > 0) {\n try {\n // NOTE: this feels like overkill/expensive just to assert if we have an ordinal y\n // can probably simplify without doing full dataprep\n const palette = quantizeScheme(opts.color, config.theme2);\n const v = prepareHeatmapData(\n context.data,\n undefined,\n opts,\n palette,\n config.theme2,\n undefined,\n context.replaceVariables\n );\n isOrdinalY = readHeatmapRowsCustomMeta(v.heatmap).yOrdinalDisplay != null;\n } catch {}\n }\n\n let category = ['Heatmap'];\n\n builder.addRadio({\n path: 'calculate',\n name: 'Calculate from data',\n defaultValue: defaultOptions.calculate,\n category,\n settings: {\n options: [\n { label: 'Yes', value: true },\n { label: 'No', value: false },\n ],\n },\n });\n\n if (opts.calculate) {\n addHeatmapCalculationOptions('calculation.', builder, opts.calculation, category);\n }\n\n category = ['Y Axis'];\n\n builder\n .addRadio({\n path: 'yAxis.axisPlacement',\n name: 'Placement',\n defaultValue: defaultOptions.yAxis.axisPlacement ?? AxisPlacement.Left,\n category,\n settings: {\n options: [\n { label: 'Left', value: AxisPlacement.Left },\n { label: 'Right', value: AxisPlacement.Right },\n { label: 'Hidden', value: AxisPlacement.Hidden },\n ],\n },\n })\n .addUnitPicker({\n category,\n path: 'yAxis.unit',\n name: 'Unit',\n defaultValue: undefined,\n settings: {\n isClearable: true,\n },\n })\n .addNumberInput({\n category,\n path: 'yAxis.decimals',\n name: 'Decimals',\n settings: {\n placeholder: 'Auto',\n },\n });\n\n if (!isOrdinalY) {\n // if undefined, then show the min+max\n builder\n .addNumberInput({\n path: 'yAxis.min',\n name: 'Min value',\n settings: {\n placeholder: 'Auto',\n },\n category,\n })\n .addTextInput({\n path: 'yAxis.max',\n name: 'Max value',\n settings: {\n placeholder: 'Auto',\n },\n category,\n });\n }\n\n builder\n .addNumberInput({\n path: 'yAxis.axisWidth',\n name: 'Axis width',\n defaultValue: defaultOptions.yAxis.axisWidth,\n settings: {\n placeholder: 'Auto',\n min: 5, // smaller should just be hidden\n },\n category,\n })\n .addTextInput({\n path: 'yAxis.axisLabel',\n name: 'Axis label',\n defaultValue: defaultOptions.yAxis.axisLabel,\n settings: {\n placeholder: 'Auto',\n },\n category,\n });\n\n if (!opts.calculate) {\n builder.addRadio({\n path: 'rowsFrame.layout',\n name: 'Tick alignment',\n defaultValue: defaultOptions.rowsFrame?.layout ?? HeatmapCellLayout.auto,\n category,\n settings: {\n options: [\n { label: 'Auto', value: HeatmapCellLayout.auto },\n { label: 'Top (LE)', value: HeatmapCellLayout.le },\n { label: 'Middle', value: HeatmapCellLayout.unknown },\n { label: 'Bottom (GE)', value: HeatmapCellLayout.ge },\n ],\n },\n });\n }\n builder.addBooleanSwitch({\n path: 'yAxis.reverse',\n name: 'Reverse',\n defaultValue: defaultOptions.yAxis.reverse === true,\n category,\n });\n\n category = ['Colors'];\n\n builder.addRadio({\n path: `color.mode`,\n name: 'Mode',\n defaultValue: defaultOptions.color.mode,\n category,\n settings: {\n options: [\n { label: 'Scheme', value: HeatmapColorMode.Scheme },\n { label: 'Opacity', value: HeatmapColorMode.Opacity },\n ],\n },\n });\n\n builder.addColorPicker({\n path: `color.fill`,\n name: 'Color',\n defaultValue: defaultOptions.color.fill,\n category,\n showIf: (opts) => opts.color.mode === HeatmapColorMode.Opacity,\n });\n\n builder.addRadio({\n path: `color.scale`,\n name: 'Scale',\n defaultValue: defaultOptions.color.scale,\n category,\n settings: {\n options: [\n { label: 'Exponential', value: HeatmapColorScale.Exponential },\n { label: 'Linear', value: HeatmapColorScale.Linear },\n ],\n },\n showIf: (opts) => opts.color.mode === HeatmapColorMode.Opacity,\n });\n\n builder.addSliderInput({\n path: 'color.exponent',\n name: 'Exponent',\n defaultValue: defaultOptions.color.exponent,\n category,\n settings: {\n min: 0.1, // 1 for on/off?\n max: 2,\n step: 0.1,\n },\n showIf: (opts) =>\n opts.color.mode === HeatmapColorMode.Opacity && opts.color.scale === HeatmapColorScale.Exponential,\n });\n\n builder.addSelect({\n path: `color.scheme`,\n name: 'Scheme',\n description: '',\n defaultValue: defaultOptions.color.scheme,\n category,\n settings: {\n options: colorSchemes.map((scheme) => ({\n value: scheme.name,\n label: scheme.name,\n //description: 'Set a geometry field based on the results of other fields',\n })),\n },\n showIf: (opts) => opts.color.mode !== HeatmapColorMode.Opacity,\n });\n\n builder\n .addSliderInput({\n path: 'color.steps',\n name: 'Steps',\n defaultValue: defaultOptions.color.steps,\n category,\n settings: {\n min: 2,\n max: 128,\n step: 1,\n },\n })\n .addBooleanSwitch({\n path: 'color.reverse',\n name: 'Reverse',\n defaultValue: defaultOptions.color.reverse,\n category,\n })\n .addCustomEditor({\n id: '__scale__',\n path: `__scale__`,\n name: '',\n category,\n editor: () => {\n const palette = quantizeScheme(opts.color, config.theme2);\n return (\n <div>\n <ColorScale colorPalette={palette} min={1} max={100} />\n </div>\n );\n },\n });\n\n builder\n .addNumberInput({\n path: 'color.min',\n name: 'Start color scale from value',\n defaultValue: defaultOptions.color.min,\n settings: {\n placeholder: 'Auto (min)',\n },\n category,\n })\n .addNumberInput({\n path: 'color.max',\n name: 'End color scale at value',\n defaultValue: defaultOptions.color.max,\n settings: {\n placeholder: 'Auto (max)',\n },\n category,\n });\n\n category = ['Cell display'];\n\n if (!opts.calculate) {\n builder.addTextInput({\n path: 'rowsFrame.value',\n name: 'Value name',\n defaultValue: defaultOptions.rowsFrame?.value,\n settings: {\n placeholder: 'Value',\n },\n category,\n });\n }\n\n builder\n .addUnitPicker({\n category,\n path: 'cellValues.unit',\n name: 'Unit',\n defaultValue: undefined,\n settings: {\n isClearable: true,\n },\n })\n .addNumberInput({\n category,\n path: 'cellValues.decimals',\n name: 'Decimals',\n settings: {\n placeholder: 'Auto',\n },\n });\n\n builder\n // .addRadio({\n // path: 'showValue',\n // name: 'Show values',\n // defaultValue: defaultOptions.showValue,\n // category,\n // settings: {\n // options: [\n // { value: VisibilityMode.Auto, label: 'Auto' },\n // { value: VisibilityMode.Always, label: 'Always' },\n // { value: VisibilityMode.Never, label: 'Never' },\n // ],\n // },\n // })\n .addSliderInput({\n name: 'Cell gap',\n path: 'cellGap',\n defaultValue: defaultOptions.cellGap,\n category,\n settings: {\n min: 0,\n max: 25,\n },\n })\n .addNumberInput({\n path: 'filterValues.le',\n name: 'Hide cells with values <=',\n defaultValue: defaultOptions.filterValues?.le,\n settings: {\n placeholder: 'None',\n },\n category,\n })\n .addNumberInput({\n path: 'filterValues.ge',\n name: 'Hide cells with values >=',\n defaultValue: defaultOptions.filterValues?.ge,\n settings: {\n placeholder: 'None',\n },\n category,\n });\n // .addSliderInput({\n // name: 'Cell radius',\n // path: 'cellRadius',\n // defaultValue: defaultOptions.cellRadius,\n // category,\n // settings: {\n // min: 0,\n // max: 100,\n // },\n // })\n\n category = ['Tooltip'];\n\n builder.addRadio({\n path: 'tooltip.mode',\n name: 'Tooltip mode',\n category,\n defaultValue: TooltipDisplayMode.Single,\n settings: {\n options: [\n { value: TooltipDisplayMode.Single, label: 'Single' },\n { value: TooltipDisplayMode.Multi, label: 'All' },\n { value: TooltipDisplayMode.None, label: 'Hidden' },\n ],\n },\n });\n\n builder.addBooleanSwitch({\n path: 'tooltip.yHistogram',\n name: 'Show histogram (Y axis)',\n defaultValue: defaultOptions.tooltip.yHistogram,\n category,\n showIf: (opts) => opts.tooltip.mode === TooltipDisplayMode.Single,\n });\n\n builder.addBooleanSwitch({\n path: 'tooltip.showColorScale',\n name: 'Show color scale',\n defaultValue: defaultOptions.tooltip.showColorScale,\n category,\n showIf: (opts) => opts.tooltip.mode === TooltipDisplayMode.Single && config.featureToggles.newVizTooltips,\n });\n\n builder.addNumberInput({\n path: 'tooltip.maxWidth',\n name: 'Max width',\n category,\n settings: {\n integer: true,\n },\n showIf: (options) => config.featureToggles.newVizTooltips && options.tooltip?.mode !== TooltipDisplayMode.None,\n });\n\n builder.addNumberInput({\n path: 'tooltip.maxHeight',\n name: 'Max height',\n category,\n settings: {\n integer: true,\n },\n showIf: (options) => config.featureToggles.newVizTooltips && options.tooltip?.mode !== TooltipDisplayMode.None,\n });\n\n category = ['Legend'];\n builder.addBooleanSwitch({\n path: 'legend.show',\n name: 'Show legend',\n defaultValue: defaultOptions.legend.show,\n category,\n });\n\n category = ['Exemplars'];\n builder.addColorPicker({\n path: 'exemplars.color',\n name: 'Color',\n defaultValue: defaultOptions.exemplars.color,\n category,\n });\n })\n .setSuggestionsSupplier(new HeatmapSuggestionsSupplier())\n .setDataSupport({ annotations: true });\n"],"names":["GRADIENT_STOPS","ColorScale","colorPalette","min","max","display","hoverValue","useStopsPercentage","colors","setColors","scaleHover","setScaleHover","percent","setPercent","theme","styles","getStyles","getGradientStops","onScaleMouseMove","event","divOffset","offsetWidth","normPercentage","scaleValue","onScaleMouseLeave","clampPercent100","colorArray","stops","colorCount","incr","per","color","gradientEnd","skip","gradientStops","i","v","renderHistogram","can","histCanWidth","histCanHeight","xVals","countVals","index","yBucketCount","histCtx","fromIdx","toIdx","maxCount","c","pHov","pRest","pctY","pctX","getHoverCellColor","data","colorIndex","cellColor","conversions","noPluralize","formatMilliseconds","milliseconds","value","unit","unitString","getFieldFromData","fieldType","isSparse","field","name","getSparseCellMinMax","fields","xMax","f","yMin","yMax","interval","HeatmapHoverView","props","DataHoverView","HeatmapHoverCell","dataIdxs","dataRef","showHistogram","isPinned","showColorScale","scopedVars","replaceVars","mode","annotate","xField","yField","countField","xDisp","tooltipTimeFormat","yVals","meta","yDisp","yBucketMin","yBucketMax","xBucketMin","xBucketMax","nonNumericOrdinalDisplay","contentItems","getYValueIndex","idx","yValueIdx","getData","yMinIdx","yMaxIdx","exp","getDisplayData","vals","count","getCountValue","label","getContentLabels","isMulti","fromToInt","xVal","val","visibleFields","links","linkLookup","appropriateScopedVars","scopedVar","link","key","histCssWidth","histCssHeight","headerLabel","customContent","VizTooltipHeader","VizTooltipContent","VizTooltipFooter","hover","renderYBucket","prepConfig","opts","eventBus","onhover","onclick","isToolTipOpen","timeZone","getTimeRange","cellGap","hideLE","hideGE","yAxisConfig","ySizeDivisor","sync","eventsScope","xScaleKey","xScaleUnit","isTime","pxRatio","heatmapType","exemplarFillColor","qt","hRect","builder","UPlotConfigBuilder","rect","u","el","e","xMin","r","payload","hoverEvent","clearEvent","pendingOnleave","sel","left","top","s","dataMin","dataMax","offset","incrs","yScale","yAxisReverse","isSparseHeatmap","shouldUseLogScale","isOrdinalY","yScaleKey","bucketFactor","scaleMin","scaleMax","yExp","log","explicitMin","explicitMax","minLog","maxLog","minExpanded","maxExpanded","bucketSize","dispY","decimals","self","splits","pathBuilder","heatmapPathsSparse","heatmapPathsDense","seriesIdx","dataIdx","x","y","xSize","ySize","heatmapPathsPoints","cursor","cx","cy","o","isHovered","type","src","w","h","CRISP_EDGES_GAP_MIN","disp","each","gap","xAlign","yAlign","round","series","dataX","dataY","scaleX","scaleY","valToPosX","valToPosY","xOff","yOff","xDim","yDim","moveTo","lineTo","arc","d","xs","ys","counts","dlen","fills","fillPalette","fillPaths","yBinQty","xBinQty","yBinIncr","xBinIncr","xOffset","yOffset","cys","cxs","fillPath","p","exemplarColor","points","yVal","randSign","xMaxs","yMins","yMaxs","xOffs","yOffs","xSizeUniform","xMaxPx","yMinPx","yMaxPx","boundedMinMax","values","minValue","maxValue","valuesToFills","palette","range","paletteSize","indexedFills","prepareHeatmapData","frames","annotations","options","getFieldLinks","replaceVariables","exemplars","config","optionsCopy","getDenseHeatmapData","rowsHeatmap","frame","getSparseHeatmapData","numberFields","a","b","updateFieldDisplay","valueField","xName","yName","calcX","calcY","colorSchemes","DEFAULT_SCHEME","scheme","quantizeScheme","steps","fill","tinycolor","scale","fnName","interpolate","rgbStr","rgb","HeatmapPanel","id","timeRange","width","height","fieldConfig","onChangeTimeRange","canAddAnnotations","newAnnotationRange","setNewAnnotationRange","scopedVarsFromRawData","timeRangeRef","getFieldLinksSupplier","info","ex","facets","exemplarsXFacet","exemplarsYFacet","setHover","shouldDisplayCloseButton","setShouldDisplayCloseButton","onCloseToolTip","evt","showNewVizTooltips","scaleConfig","renderLegend","countFieldIdx","VizLayout","PanelDataErrorView","enableAnnotationCreation","vizWidth","vizHeight","ZoomPlugin","TooltipPlugin2","dismiss","timeRange2","viaSync","AnnotationsPlugin2","Portal","VizTooltipContainer","ExemplarModalHeader","heatmapMigrationHandler","panel","heatmapChangedHandler","showTooltip","prevPluginId","prevOptions","prevFieldConfig","angularToReactHeatmap","bucketFrame","angular","calculate","calculation","oldYAxis","asNumber","getHeatmapCellLayout","current","defaultValue","num","HeatmapSuggestionsSupplier","dataSummary","PanelPlugin","context","category"],"sourceRoot":""}
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N4ST4R_ID | Naxtarrr
