@grafana/ui/dist/cjs/components/uPlot/config/UPlotScaleBuilder.cjs.map

Grafana Components Library

{"version":3,"file":"UPlotScaleBuilder.cjs","sources":["../../../../../src/components/uPlot/config/UPlotScaleBuilder.ts"],"sourcesContent":["import uPlot, { type Scale, type Range } from 'uplot';\n\nimport { type DecimalCount, incrRoundDn, incrRoundUp, isBooleanUnit } from '@grafana/data';\nimport { type ScaleOrientation, type ScaleDirection, ScaleDistribution, StackingMode } from '@grafana/schema';\n\nimport { PlotConfigBuilder } from '../types';\n\nexport interface ScaleProps {\n  scaleKey: string;\n  isTime?: boolean;\n  auto?: boolean;\n  min?: number | null;\n  max?: number | null;\n  softMin?: number | null;\n  softMax?: number | null;\n  range?: Scale.Range;\n  distribution?: ScaleDistribution;\n  orientation: ScaleOrientation;\n  direction: ScaleDirection;\n  log?: number;\n  linearThreshold?: number;\n  centeredZero?: boolean;\n  decimals?: DecimalCount;\n  stackingMode?: StackingMode;\n  padMinBy?: number;\n  padMaxBy?: number;\n}\n\nconst isValidLogBase = (v: number | undefined): v is Scale.LogBase => v === 2 || v === 10;\n\n// only used if no log is passed in from the consumer of UPlotScaleBuilder and logrithmic distribution is selected.\n// we probably want to avoid this fallback!\nconst FALLBACK_LOG: Scale.LogBase = 10;\n\n// mapping between uPlot and our ScaleDistribution enum values\nconst DISTR_MAP: Record<ScaleDistribution, uPlot.Scale.Distr> = {\n  [ScaleDistribution.Linear]: 1,\n  [ScaleDistribution.Ordinal]: 2,\n  [ScaleDistribution.Log]: 3,\n  [ScaleDistribution.Symlog]: 4,\n  // custom is 100 in uPlot, but we don't support it so not mapping here\n};\n\nexport class UPlotScaleBuilder extends PlotConfigBuilder<ScaleProps, Scale> {\n  merge(props: ScaleProps) {\n    this.props.min = optMinMax('min', this.props.min, props.min);\n    this.props.max = optMinMax('max', this.props.max, props.max);\n  }\n\n  getConfig(): uPlot.Scales {\n    let {\n      isTime,\n      auto,\n      scaleKey,\n      min: hardMin,\n      max: hardMax,\n      softMin,\n      softMax,\n      range,\n      direction,\n      orientation,\n      centeredZero,\n      decimals,\n      stackingMode,\n      padMinBy = 0.1,\n      padMaxBy = 0.1,\n    } = this.props;\n\n    if (stackingMode === StackingMode.Percent) {\n      if (hardMin == null && softMin == null) {\n        softMin = 0;\n      }\n\n      if (hardMax == null && softMax == null) {\n        softMax = 1;\n      }\n    }\n\n    const distr = this.props.distribution;\n    const safeLog = isValidLogBase(this.props.log) ? this.props.log : FALLBACK_LOG;\n\n    const distribution = !isTime\n      ? {\n          distr: distr ? DISTR_MAP[distr] : DISTR_MAP[ScaleDistribution.Linear],\n          log: distr === ScaleDistribution.Log || distr === ScaleDistribution.Symlog ? safeLog : undefined,\n          asinh: distr === ScaleDistribution.Symlog ? (this.props.linearThreshold ?? 1) : undefined,\n        }\n      : {};\n\n    // guard against invalid log scale limits <= 0, or snap to log boundaries\n    if (distr === ScaleDistribution.Log) {\n      const logFn = safeLog === 2 ? Math.log2 : Math.log10;\n\n      if (hardMin != null) {\n        if (hardMin <= 0) {\n          hardMin = null;\n        } else {\n          hardMin = safeLog ** Math.floor(logFn(hardMin));\n        }\n      }\n\n      if (hardMax != null) {\n        if (hardMax <= 0) {\n          hardMax = null;\n        } else {\n          hardMax = safeLog ** Math.ceil(logFn(hardMax));\n        }\n      }\n\n      if (softMin != null) {\n        if (softMin <= 0) {\n          softMin = null;\n        } else {\n          softMin = safeLog ** Math.floor(logFn(softMin));\n        }\n      }\n\n      if (softMax != null) {\n        if (softMax <= 0) {\n          softMax = null;\n        } else {\n          softMax = safeLog ** Math.ceil(logFn(softMax));\n        }\n      }\n    }\n\n    // uPlot's default ranging config for both min & max is {pad: 0.1, hard: null, soft: 0, mode: 3}\n    const softMinMode: Range.SoftMode = softMin == null ? 3 : 1;\n    const softMaxMode: Range.SoftMode = softMax == null ? 3 : 1;\n\n    const rangeConfig: Range.Config = {\n      min: {\n        pad: padMinBy,\n        hard: hardMin ?? -Infinity,\n        soft: softMin || 0,\n        mode: softMinMode,\n      },\n      max: {\n        pad: padMaxBy,\n        hard: hardMax ?? Infinity,\n        soft: softMax || 0,\n        mode: softMaxMode,\n      },\n    };\n\n    const hardMinOnly = softMin == null && hardMin != null;\n    const hardMaxOnly = softMax == null && hardMax != null;\n    const hasFixedRange = hardMinOnly && hardMaxOnly;\n\n    const rangeFn: uPlot.Range.Function = (\n      u: uPlot,\n      dataMin: number | null,\n      dataMax: number | null,\n      scaleKey: string\n    ) => {\n      const scale = u.scales[scaleKey];\n\n      let minMax: uPlot.Range.MinMax = [dataMin, dataMax];\n\n      // happens when all series on a scale are `show: false`, re-returning nulls will auto-disable axis\n      if (!hasFixedRange && dataMin == null && dataMax == null) {\n        return minMax;\n      }\n\n      const logBase = scale.log ?? FALLBACK_LOG;\n\n      if (\n        scale.distr === DISTR_MAP[ScaleDistribution.Linear] ||\n        scale.distr === DISTR_MAP[ScaleDistribution.Ordinal] ||\n        scale.distr === DISTR_MAP[ScaleDistribution.Symlog]\n      ) {\n        if (centeredZero) {\n          const absMin = Math.abs(dataMin!);\n          const absMax = Math.abs(dataMax!);\n          let max = Math.max(absMin, absMax);\n\n          // flat 0\n          if (max === 0) {\n            max = 80;\n          }\n\n          dataMin = -max;\n          dataMax = max;\n        }\n\n        if (scale.distr === 4) {\n          minMax = uPlot.rangeAsinh(dataMin!, dataMax!, logBase, true);\n        } else {\n          // @ts-ignore here we may use hardMin / hardMax to make sure any extra padding is computed from a more accurate delta\n          minMax = uPlot.rangeNum(hardMinOnly ? hardMin : dataMin, hardMaxOnly ? hardMax : dataMax, rangeConfig);\n        }\n      } else if (scale.distr === DISTR_MAP[ScaleDistribution.Log]) {\n        minMax = uPlot.rangeLog(hardMin ?? dataMin!, hardMax ?? dataMax!, logBase, true);\n      }\n\n      if (decimals === 0) {\n        if (\n          scale.distr === DISTR_MAP[ScaleDistribution.Linear] ||\n          scale.distr === DISTR_MAP[ScaleDistribution.Ordinal]\n        ) {\n          minMax[0] = incrRoundDn(minMax[0]!, 1);\n          minMax[1] = incrRoundUp(minMax[1]!, 1);\n        }\n        // log2 or log10 scale min must be clamped to 1\n        else if (scale.distr === DISTR_MAP[ScaleDistribution.Log]) {\n          const logFn = scale.log === 2 ? Math.log2 : Math.log10;\n\n          if (minMax[0]! <= 1) {\n            // clamp min\n            minMax[0] = 1;\n          } else {\n            // snap min to nearest mag below\n            const minExp = Math.floor(logFn(minMax[0]!));\n            minMax[0] = logBase ** minExp;\n          }\n\n          // snap max to nearest mag above\n          const maxExp = Math.ceil(logFn(minMax[1]!));\n          minMax[1] = logBase ** maxExp;\n\n          // inflate max by mag if same\n          if (minMax[0] === minMax[1]) {\n            minMax[1] *= logBase;\n          }\n        }\n        // TODO: this should be better. symlog values can be <= 0, but should also be snapped to log2 or log10 boundaries\n        // for now we just do same as linear snapping above, so may have non-neat range and ticks at edges\n        else if (scale.distr === 4) {\n          minMax[0] = incrRoundDn(minMax[0]!, 1);\n          minMax[1] = incrRoundUp(minMax[1]!, 1);\n        }\n      }\n\n      if (scale.distr === 1 || scale.distr === 4) {\n        // if all we got were hard limits, treat them as static min/max\n        if (hardMinOnly) {\n          minMax[0] = hardMin!;\n        }\n\n        if (hardMaxOnly) {\n          minMax[1] = hardMax!;\n        }\n      }\n\n      // for tiny ranges like 0.999999999811111, 1, uPlot's rangeNum may return [1,1]\n      if (minMax[0]! === minMax[1]! && minMax[0]! !== 0) {\n        // only applies to linear scales\n        if (scale.distr === 1) {\n          if (minMax[0] < 0) {\n            minMax[0] *= 2;\n            minMax[1] = 0;\n          } else {\n            minMax[1] *= 2;\n            minMax[0] = 0;\n          }\n        }\n      }\n\n      // guard against invalid y ranges\n      if (minMax[0]! >= minMax[1]!) {\n        minMax[0] = scale.distr === DISTR_MAP[ScaleDistribution.Log] ? 1 : 0;\n        minMax[1] = 100;\n      }\n\n      return minMax;\n    };\n\n    auto ??= !isTime && !hasFixedRange;\n\n    if (isBooleanUnit(scaleKey)) {\n      auto = false;\n      range = [0, 1];\n    }\n\n    return {\n      [scaleKey]: {\n        time: isTime,\n        auto,\n        range: range ?? rangeFn,\n        dir: direction,\n        ori: orientation,\n        ...distribution,\n      },\n    };\n  }\n}\n\nexport function optMinMax(minmax: 'min' | 'max', a?: number | null, b?: number | null): undefined | number | null {\n  const hasA = !(a === undefined || a === null);\n  const hasB = !(b === undefined || b === null);\n  if (hasA) {\n    if (!hasB) {\n      return a;\n    }\n    if (minmax === 'min') {\n      return a! < b! ? a : b;\n    }\n    return a! > b! ? a : b;\n  }\n  return 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