Heatmap: Use dashboard timeRange for auto-sizing x buckets (#89382)

public/app/features/transformers/calculateHeatmap/heatmap.ts

@@ -15,6 +15,7 @@ import {
   durationToMilliseconds,
   parseDuration,
   TransformationApplicabilityLevels,
+  TimeRange,
 } from '@grafana/data';
 import { isLikelyAscendingVector } from '@grafana/data/src/transformations/transformers/joinDataFrames';
 import { config } from '@grafana/runtime';
@@ -292,7 +293,14 @@ export function prepBucketFrames(frames: DataFrame[]): DataFrame[] {
   }));
 }
 
-export function calculateHeatmapFromData(frames: DataFrame[], options: HeatmapCalculationOptions): DataFrame {
+interface HeatmapCalculationOptionsWithTimeRange extends HeatmapCalculationOptions {
+  timeRange?: TimeRange;
+}
+
+export function calculateHeatmapFromData(
+  frames: DataFrame[],
+  options: HeatmapCalculationOptionsWithTimeRange
+): DataFrame {
   // Find fields in the heatmap
   const { xField, yField, xs, ys } = findHeatmapFields(frames);
 
@@ -329,6 +337,9 @@ export function calculateHeatmapFromData(frames: DataFrame[], options: HeatmapCa
     ySize: yBucketsCfg.value ? +yBucketsCfg.value : undefined,
     yLog:
       scaleDistribution?.type === ScaleDistribution.Log ? (scaleDistribution?.log as 2 | 10 | undefined) : undefined,
+
+    xMin: options.timeRange?.from.valueOf(),
+    xMax: options.timeRange?.to.valueOf(),
   });
 
   const frame = {
@@ -460,20 +471,23 @@ function heatmap(xs: number[], ys: number[], opts?: HeatmapOpts) {
   let ySorted = opts?.ySorted ?? false;
 
   // find x and y limits to pre-compute buckets struct
-  let minX = xSorted ? xs[0] : Infinity;
+  let minX = opts?.xMin ?? (xSorted ? xs[0] : Infinity);
   let minY = ySorted ? ys[0] : Infinity;
-  let maxX = xSorted ? xs[len - 1] : -Infinity;
+  let maxX = opts?.xMax ?? (xSorted ? xs[len - 1] : -Infinity);
   let maxY = ySorted ? ys[len - 1] : -Infinity;
 
   let yExp = opts?.yLog;
 
+  let withPredefX = opts?.xMin != null && opts?.xMax != null;
+  let withPredefY = opts?.yMin != null && opts?.yMax != null;
+
   for (let i = 0; i < len; i++) {
-    if (!xSorted) {
+    if (!xSorted && !withPredefX) {
       minX = Math.min(minX, xs[i]);
       maxX = Math.max(maxX, xs[i]);
     }
 
-    if (!ySorted) {
+    if (!ySorted && !withPredefY) {
       if (!yExp || ys[i] > 0) {
         minY = Math.min(minY, ys[i]);
         maxY = Math.max(maxY, ys[i]);
@@ -500,7 +514,6 @@ function heatmap(xs: number[], ys: number[], opts?: HeatmapOpts) {
   }
 
   if (xMode === HeatmapCalculationMode.Count) {
-    // TODO: optionally use view range min/max instead of data range for bucket sizing
     let approx = (maxX - minX) / Math.max(xBinIncr - 1, 1);
     // nice-ify
     let xIncrs = opts?.xTime ? niceTimeIncrs : niceLinearIncrs;
@@ -509,7 +522,6 @@ function heatmap(xs: number[], ys: number[], opts?: HeatmapOpts) {
   }
 
   if (yMode === HeatmapCalculationMode.Count) {
-    // TODO: optionally use view range min/max instead of data range for bucket sizing
     let approx = (maxY - minY) / Math.max(yBinIncr - 1, 1);
     // nice-ify
     let yIncrs = opts?.yTime ? niceTimeIncrs : niceLinearIncrs;

public/app/plugins/panel/heatmap/HeatmapPanel.tsx

@@ -59,11 +59,19 @@ export const HeatmapPanel = ({
 
   const info = useMemo(() => {
     try {
-      return prepareHeatmapData(data.series, data.annotations, options, palette, theme, replaceVariables);
+      return prepareHeatmapData({
+        frames: data.series,
+        annotations: data.annotations,
+        options,
+        palette,
+        theme,
+        replaceVariables,
+        timeRange,
+      });
     } catch (ex) {
       return { warning: `${ex}` };
     }
-  }, [data.series, data.annotations, options, palette, theme, replaceVariables]);
+  }, [data.series, data.annotations, options, palette, theme, replaceVariables, timeRange]);
 
   const facets = useMemo(() => {
     let exemplarsXFacet: number[] | undefined = []; // "Time" field

public/app/plugins/panel/heatmap/fields.ts

@@ -10,6 +10,7 @@ import {
   GrafanaTheme2,
   InterpolateFunction,
   outerJoinDataFrames,
+  TimeRange,
   ValueFormatter,
 } from '@grafana/data';
 import { parseSampleValue, sortSeriesByLabel } from '@grafana/prometheus';
@@ -65,14 +66,25 @@ export interface HeatmapData {
   warning?: string;
 }
 
-export function prepareHeatmapData(
-  frames: DataFrame[],
-  annotations: DataFrame[] | undefined,
-  options: Options,
-  palette: string[],
-  theme: GrafanaTheme2,
-  replaceVariables: InterpolateFunction = (v) => v
-): HeatmapData {
+interface PrepareHeatmapDataOptions {
+  frames: DataFrame[];
+  annotations?: DataFrame[];
+  options: Options;
+  palette: string[];
+  theme: GrafanaTheme2;
+  replaceVariables?: InterpolateFunction;
+  timeRange?: TimeRange;
+}
+
+export function prepareHeatmapData({
+  frames,
+  annotations,
+  options,
+  palette,
+  theme,
+  replaceVariables = (v) => v,
+  timeRange,
+}: PrepareHeatmapDataOptions): HeatmapData {
   if (!frames?.length) {
     return {};
   }
@@ -104,7 +116,7 @@ export function prepareHeatmapData(
       }
 
       return getDenseHeatmapData(
-        calculateHeatmapFromData(frames, optionsCopy.calculation ?? {}),
+        calculateHeatmapFromData(frames, { ...options.calculation, timeRange }),
         exemplars,
         optionsCopy,
         palette,
@@ -113,7 +125,7 @@ export function prepareHeatmapData(
     }
 
     return getDenseHeatmapData(
-      calculateHeatmapFromData(frames, options.calculation ?? {}),
+      calculateHeatmapFromData(frames, { ...options.calculation, timeRange }),
       exemplars,
       options,
       palette,

public/app/plugins/panel/heatmap/module.tsx

@@ -53,7 +53,12 @@ export const plugin = new PanelPlugin<Options, GraphFieldConfig>(HeatmapPanel)
         // NOTE: this feels like overkill/expensive just to assert if we have an ordinal y
         // can probably simplify without doing full dataprep
         const palette = quantizeScheme(opts.color, config.theme2);
-        const v = prepareHeatmapData(context.data, undefined, opts, palette, config.theme2);
+        const v = prepareHeatmapData({
+          frames: context.data,
+          options: opts,
+          palette,
+          theme: config.theme2,
+        });
         isOrdinalY = readHeatmapRowsCustomMeta(v.heatmap).yOrdinalDisplay != null;
       } catch {}
     }

public/app/plugins/panel/heatmap/suggestions.ts

@@ -20,7 +20,12 @@ export class HeatmapSuggestionsSupplier {
     }
 
     const palette = quantizeScheme(defaultOptions.color, config.theme2);
-    const info = prepareHeatmapData(builder.data.series, undefined, defaultOptions, palette, config.theme2);
+    const info = prepareHeatmapData({
+      frames: builder.data.series,
+      options: defaultOptions,
+      palette,
+      theme: config.theme2,
+    });
     if (!info || info.warning) {
       return;
     }