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feat/trace
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feat/scatt
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d3662e66c7 |
@@ -3425,6 +3425,13 @@ components:
|
||||
nullable: true
|
||||
type: number
|
||||
type: object
|
||||
DashboardtypesAxisScale:
|
||||
enum:
|
||||
- auto
|
||||
- linear
|
||||
- log
|
||||
- symlog
|
||||
type: string
|
||||
DashboardtypesBarChartPanelSpec:
|
||||
properties:
|
||||
axes:
|
||||
@@ -4167,6 +4174,7 @@ components:
|
||||
signoz/ListPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesListPanelSpec'
|
||||
signoz/NumberPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesNumberPanelSpec'
|
||||
signoz/PieChartPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesPieChartPanelSpec'
|
||||
signoz/ScatterPlotPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesScatterPlotPanelSpec'
|
||||
signoz/TablePanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTablePanelSpec'
|
||||
signoz/TextPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTextPanelSpec'
|
||||
signoz/TimeSeriesPanel: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTimeSeriesPanelSpec'
|
||||
@@ -4182,6 +4190,7 @@ components:
|
||||
- $ref: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesListPanelSpec'
|
||||
- $ref: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTextPanelSpec'
|
||||
- $ref: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesHeatmapPanelSpec'
|
||||
- $ref: '#/components/schemas/DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesScatterPlotPanelSpec'
|
||||
type: object
|
||||
DashboardtypesPanelPluginKind:
|
||||
enum:
|
||||
@@ -4195,6 +4204,7 @@ components:
|
||||
- signoz/ListPanel
|
||||
- signoz/TextPanel
|
||||
- signoz/HeatmapPanel
|
||||
- signoz/ScatterPlotPanel
|
||||
type: string
|
||||
DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesAreaChartPanelSpec:
|
||||
properties:
|
||||
@@ -4280,6 +4290,18 @@ components:
|
||||
- kind
|
||||
- spec
|
||||
type: object
|
||||
DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesScatterPlotPanelSpec:
|
||||
properties:
|
||||
kind:
|
||||
enum:
|
||||
- signoz/ScatterPlotPanel
|
||||
type: string
|
||||
spec:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotPanelSpec'
|
||||
required:
|
||||
- kind
|
||||
- spec
|
||||
type: object
|
||||
DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTablePanelSpec:
|
||||
properties:
|
||||
kind:
|
||||
@@ -4359,6 +4381,16 @@ components:
|
||||
visualization:
|
||||
$ref: '#/components/schemas/DashboardtypesBasicVisualization'
|
||||
type: object
|
||||
DashboardtypesPointDiameter:
|
||||
maximum: 40
|
||||
minimum: 2
|
||||
nullable: true
|
||||
type: integer
|
||||
DashboardtypesPointOpacity:
|
||||
maximum: 1
|
||||
minimum: 0.1
|
||||
nullable: true
|
||||
type: number
|
||||
DashboardtypesPostableDashboardV2:
|
||||
properties:
|
||||
generateName:
|
||||
@@ -4532,6 +4564,104 @@ components:
|
||||
required:
|
||||
- queryValue
|
||||
type: object
|
||||
DashboardtypesScatterPlotAxes:
|
||||
properties:
|
||||
x:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotAxis'
|
||||
"y":
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotAxis'
|
||||
type: object
|
||||
DashboardtypesScatterPlotAxis:
|
||||
properties:
|
||||
label:
|
||||
description: Axis title. Empty draws none.
|
||||
type: string
|
||||
scale:
|
||||
$ref: '#/components/schemas/DashboardtypesAxisScale'
|
||||
softMax:
|
||||
nullable: true
|
||||
type: number
|
||||
softMin:
|
||||
nullable: true
|
||||
type: number
|
||||
type: object
|
||||
DashboardtypesScatterPlotChartAppearance:
|
||||
properties:
|
||||
points:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotPoints'
|
||||
type: object
|
||||
DashboardtypesScatterPlotDimensions:
|
||||
properties:
|
||||
colorBy:
|
||||
description: Group-by label names (e.g. k8s.namespace.name) whose combined
|
||||
values colour dots and drive the legend. Empty colours by every group-by
|
||||
label.
|
||||
items:
|
||||
type: string
|
||||
nullable: true
|
||||
type: array
|
||||
sizeBy:
|
||||
description: Value column key that scales dot size. Empty draws every dot
|
||||
at the default size.
|
||||
type: string
|
||||
x:
|
||||
description: Value column key (queryName, or queryName.expression for a
|
||||
multi-aggregation query) plotted on the x axis. Empty uses the first value
|
||||
column.
|
||||
type: string
|
||||
"y":
|
||||
description: Value column key plotted on the y axis. Empty uses the second
|
||||
value column.
|
||||
type: string
|
||||
type: object
|
||||
DashboardtypesScatterPlotPanelSpec:
|
||||
properties:
|
||||
axes:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotAxes'
|
||||
chartAppearance:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotChartAppearance'
|
||||
dimensions:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotDimensions'
|
||||
formatting:
|
||||
$ref: '#/components/schemas/DashboardtypesTableFormatting'
|
||||
legend:
|
||||
$ref: '#/components/schemas/DashboardtypesLegend'
|
||||
thresholds:
|
||||
items:
|
||||
$ref: '#/components/schemas/DashboardtypesScatterPlotThreshold'
|
||||
nullable: true
|
||||
type: array
|
||||
visualization:
|
||||
$ref: '#/components/schemas/DashboardtypesBasicVisualization'
|
||||
type: object
|
||||
DashboardtypesScatterPlotPoints:
|
||||
properties:
|
||||
maxSize:
|
||||
$ref: '#/components/schemas/DashboardtypesPointDiameter'
|
||||
minSize:
|
||||
$ref: '#/components/schemas/DashboardtypesPointDiameter'
|
||||
opacity:
|
||||
$ref: '#/components/schemas/DashboardtypesPointOpacity'
|
||||
size:
|
||||
$ref: '#/components/schemas/DashboardtypesPointDiameter'
|
||||
type: object
|
||||
DashboardtypesScatterPlotThreshold:
|
||||
properties:
|
||||
axis:
|
||||
$ref: '#/components/schemas/DashboardtypesThresholdAxis'
|
||||
color:
|
||||
type: string
|
||||
label:
|
||||
type: string
|
||||
unit:
|
||||
type: string
|
||||
value:
|
||||
format: double
|
||||
type: number
|
||||
required:
|
||||
- value
|
||||
- color
|
||||
type: object
|
||||
DashboardtypesSource:
|
||||
enum:
|
||||
- user
|
||||
@@ -4645,6 +4775,11 @@ components:
|
||||
- value
|
||||
- name
|
||||
type: object
|
||||
DashboardtypesThresholdAxis:
|
||||
enum:
|
||||
- x
|
||||
- "y"
|
||||
type: string
|
||||
DashboardtypesThresholdFormat:
|
||||
enum:
|
||||
- text
|
||||
|
||||
@@ -57,6 +57,7 @@ const mockPaths = {
|
||||
const mockTzDate = jest.fn(
|
||||
(date: Date, _timezone: string) => new Date(date.getTime()),
|
||||
);
|
||||
const mockOrient = jest.fn();
|
||||
|
||||
// Mock uPlot constructor - this needs to be a proper constructor function
|
||||
function MockUPlot(
|
||||
@@ -70,6 +71,7 @@ function MockUPlot(
|
||||
// Add static methods to the constructor
|
||||
MockUPlot.tzDate = mockTzDate;
|
||||
MockUPlot.paths = mockPaths;
|
||||
MockUPlot.orient = mockOrient;
|
||||
// Pinned so canvas-space maths in draw hooks is deterministic under jsdom.
|
||||
MockUPlot.pxRatio = 1;
|
||||
|
||||
|
||||
@@ -0,0 +1,100 @@
|
||||
// Surface matches the shared Tooltip: same tokens, same radius, no shadow.
|
||||
// Padding lives on the sections so a footer can reach the container edges.
|
||||
.container {
|
||||
font-family: 'Inter';
|
||||
font-size: 12px;
|
||||
background: var(--l2-background);
|
||||
-webkit-font-smoothing: antialiased;
|
||||
color: var(--l2-foreground);
|
||||
border-radius: 6px;
|
||||
border: 1px solid var(--l2-border);
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
min-width: 200px;
|
||||
|
||||
&.pinned {
|
||||
border-color: var(--ring);
|
||||
}
|
||||
}
|
||||
|
||||
.divider {
|
||||
display: block;
|
||||
width: 100%;
|
||||
height: 1px;
|
||||
background-color: var(--l2-border);
|
||||
}
|
||||
|
||||
.header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--spacing-2);
|
||||
padding: var(--spacing-3) var(--spacing-4);
|
||||
}
|
||||
|
||||
// Matches the legend row's marker.
|
||||
.marker {
|
||||
width: 10px;
|
||||
height: 10px;
|
||||
border-radius: var(--radius);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.title {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
font-family: var(--font-mono);
|
||||
font-size: var(--font-size-xs);
|
||||
font-weight: 600;
|
||||
color: var(--text-vanilla-100);
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.status {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--spacing-1);
|
||||
font-size: 11px;
|
||||
color: var(--text-vanilla-400);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.rows {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--spacing-1);
|
||||
padding: var(--spacing-3) var(--spacing-4);
|
||||
}
|
||||
|
||||
.row {
|
||||
display: flex;
|
||||
align-items: baseline;
|
||||
justify-content: space-between;
|
||||
gap: var(--spacing-4);
|
||||
font-family: var(--font-mono);
|
||||
font-size: var(--font-size-xs);
|
||||
font-variant-numeric: tabular-nums;
|
||||
color: var(--text-vanilla-100);
|
||||
}
|
||||
|
||||
// The group values name the point; the channels are what it says.
|
||||
.rowMuted {
|
||||
color: var(--text-vanilla-400);
|
||||
}
|
||||
|
||||
.rowLabel {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.rowValue {
|
||||
flex: 0 0 auto;
|
||||
max-width: 60%;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
111
frontend/src/lib/uPlotV2/components/Tooltip/ScatterTooltip.tsx
Normal file
111
frontend/src/lib/uPlotV2/components/Tooltip/ScatterTooltip.tsx
Normal file
@@ -0,0 +1,111 @@
|
||||
import { useMemo } from 'react';
|
||||
import cx from 'classnames';
|
||||
import { Pin } from '@signozhq/icons';
|
||||
|
||||
import { ScatterTooltipProps } from '../types';
|
||||
import { buildChannelRows, resolveHoveredPoint } from './scatterTooltipContent';
|
||||
|
||||
import Styles from './ScatterTooltip.module.scss';
|
||||
|
||||
/**
|
||||
* One point, its channels, then the group values that name it. Purpose-built
|
||||
* rather than composed from the shared `Tooltip`, whose list is one row per
|
||||
* series at a shared x; a scatter point has no such neighbours.
|
||||
*/
|
||||
export default function ScatterTooltip({
|
||||
uPlotInstance,
|
||||
dataIndexes,
|
||||
seriesIndex,
|
||||
channels,
|
||||
resolvePointLabels,
|
||||
decimalPrecision,
|
||||
isPinned,
|
||||
dismiss,
|
||||
renderTooltipFooter,
|
||||
}: ScatterTooltipProps): JSX.Element | null {
|
||||
const point = useMemo(
|
||||
() => resolveHoveredPoint(uPlotInstance, seriesIndex, dataIndexes),
|
||||
[uPlotInstance, seriesIndex, dataIndexes],
|
||||
);
|
||||
|
||||
const rows = useMemo(
|
||||
() => (point ? buildChannelRows(point, channels, decimalPrecision) : []),
|
||||
[point, channels, decimalPrecision],
|
||||
);
|
||||
|
||||
const labels = useMemo(
|
||||
() =>
|
||||
point
|
||||
? (resolvePointLabels?.(point.seriesIndex, point.dataIndex) ?? [])
|
||||
: [],
|
||||
[point, resolvePointLabels],
|
||||
);
|
||||
|
||||
if (!point) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
className={cx(Styles.container, { [Styles.pinned]: isPinned })}
|
||||
data-pinned={isPinned}
|
||||
data-testid="scatter-tooltip"
|
||||
>
|
||||
<div className={Styles.header}>
|
||||
<span className={Styles.marker} style={{ backgroundColor: point.color }} />
|
||||
<span
|
||||
className={Styles.title}
|
||||
title={point.label}
|
||||
data-testid="scatter-tooltip-title"
|
||||
>
|
||||
{point.label}
|
||||
</span>
|
||||
{isPinned && (
|
||||
<span className={Styles.status} data-testid="scatter-tooltip-status">
|
||||
<Pin size={12} />
|
||||
<span>Pinned</span>
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
|
||||
<span className={Styles.divider} />
|
||||
|
||||
<div className={Styles.rows}>
|
||||
{rows.map((row) => (
|
||||
<div
|
||||
key={row.label}
|
||||
className={Styles.row}
|
||||
data-testid="scatter-tooltip-row"
|
||||
>
|
||||
<span className={Styles.rowLabel}>{row.label}</span>
|
||||
<span className={Styles.rowValue}>{row.value}</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
|
||||
{labels.length > 0 && (
|
||||
<>
|
||||
<span className={Styles.divider} />
|
||||
<div className={Styles.rows}>
|
||||
{labels.map((label) => (
|
||||
<div
|
||||
key={label.key}
|
||||
className={cx(Styles.row, Styles.rowMuted)}
|
||||
data-testid="scatter-tooltip-label"
|
||||
>
|
||||
<span className={Styles.rowLabel} title={label.key}>
|
||||
{label.key}
|
||||
</span>
|
||||
<span className={Styles.rowValue} title={label.value}>
|
||||
{label.value}
|
||||
</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
|
||||
{renderTooltipFooter?.({ isPinned, dismiss })}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,94 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import {
|
||||
buildChannelRows,
|
||||
resolveHoveredPoint,
|
||||
ScatterHoveredPoint,
|
||||
} from '../scatterTooltipContent';
|
||||
|
||||
jest.mock('components/Graph/yAxisConfig', () => ({
|
||||
getToolTipValue: jest.fn((value: number | string, unit?: string) =>
|
||||
`${value} ${unit ?? ''}`.trim(),
|
||||
),
|
||||
}));
|
||||
|
||||
const plot = {
|
||||
data: [
|
||||
null,
|
||||
[
|
||||
[10, 20],
|
||||
[100, 200],
|
||||
[5, null],
|
||||
],
|
||||
[[30], [300]],
|
||||
],
|
||||
series: [
|
||||
{},
|
||||
{ label: 'cart', stroke: '#ff0000' },
|
||||
{ label: 'checkout', stroke: (): string => '#00ff00' },
|
||||
],
|
||||
} as unknown as uPlot;
|
||||
|
||||
describe('resolveHoveredPoint', () => {
|
||||
it('reads the focused series at its own data index', () => {
|
||||
expect(resolveHoveredPoint(plot, 1, [null, 1, null])).toStrictEqual({
|
||||
seriesIndex: 1,
|
||||
dataIndex: 1,
|
||||
label: 'cart',
|
||||
color: '#ff0000',
|
||||
x: 20,
|
||||
y: 200,
|
||||
size: null,
|
||||
});
|
||||
});
|
||||
|
||||
it('carries the size column when present and resolves function strokes', () => {
|
||||
expect(resolveHoveredPoint(plot, 1, [null, 0, null])?.size).toBe(5);
|
||||
expect(resolveHoveredPoint(plot, 2, [null, null, 0])).toMatchObject({
|
||||
label: 'checkout',
|
||||
color: '#00ff00',
|
||||
size: null,
|
||||
});
|
||||
});
|
||||
|
||||
it('is null without a focused series or an index for it', () => {
|
||||
expect(resolveHoveredPoint(plot, null, [null, 0, null])).toBeNull();
|
||||
expect(resolveHoveredPoint(plot, 0, [0, 0, null])).toBeNull();
|
||||
expect(resolveHoveredPoint(plot, 1, [null, null, null])).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('buildChannelRows', () => {
|
||||
const point: ScatterHoveredPoint = {
|
||||
seriesIndex: 1,
|
||||
dataIndex: 0,
|
||||
label: 'cart',
|
||||
color: '#f00',
|
||||
x: 12,
|
||||
y: 340,
|
||||
size: 7,
|
||||
};
|
||||
|
||||
it('formats x and y with their own units', () => {
|
||||
const rows = buildChannelRows(point, {
|
||||
x: { label: 'Throughput', unit: 'reqps' },
|
||||
y: { label: 'p99', unit: 'ms' },
|
||||
});
|
||||
|
||||
expect(rows).toStrictEqual([
|
||||
{ label: 'Throughput', value: '12 reqps' },
|
||||
{ label: 'p99', value: '340 ms' },
|
||||
]);
|
||||
});
|
||||
|
||||
it('adds the size row only when the channel is mapped and the point has one', () => {
|
||||
const channels = {
|
||||
x: { label: 'x' },
|
||||
y: { label: 'y' },
|
||||
size: { label: 'Errors' },
|
||||
};
|
||||
|
||||
expect(buildChannelRows(point, channels)).toHaveLength(3);
|
||||
expect(buildChannelRows({ ...point, size: null }, channels)).toHaveLength(2);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,90 @@
|
||||
import { PrecisionOption } from 'components/Graph/types';
|
||||
import { getToolTipValue } from 'components/Graph/yAxisConfig';
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import type {
|
||||
ScatterChannel,
|
||||
ScatterChannels,
|
||||
ScatterSeriesData,
|
||||
} from '../../plugins/ScatterPlugin/types';
|
||||
import { resolveSeriesColor } from './utils';
|
||||
|
||||
export interface ScatterHoveredPoint {
|
||||
seriesIndex: number;
|
||||
dataIndex: number;
|
||||
label: string;
|
||||
color: string;
|
||||
x: number;
|
||||
y: number;
|
||||
size: number | null;
|
||||
}
|
||||
|
||||
export interface ScatterTooltipRow {
|
||||
label: string;
|
||||
value: string;
|
||||
}
|
||||
|
||||
/** The point the cursor resolved to: the focused series' own index into its columns. */
|
||||
export function resolveHoveredPoint(
|
||||
u: uPlot,
|
||||
seriesIndex: number | null,
|
||||
dataIndexes: Array<number | null>,
|
||||
): ScatterHoveredPoint | null {
|
||||
if (seriesIndex == null || seriesIndex < 1) {
|
||||
return null;
|
||||
}
|
||||
const dataIndex = dataIndexes[seriesIndex];
|
||||
const series = u.series[seriesIndex];
|
||||
const columns = u.data[seriesIndex] as unknown as
|
||||
| ScatterSeriesData
|
||||
| undefined;
|
||||
if (dataIndex == null || !series || !columns) {
|
||||
return null;
|
||||
}
|
||||
const x = columns[0][dataIndex];
|
||||
const y = columns[1][dataIndex];
|
||||
if (x == null || y == null) {
|
||||
return null;
|
||||
}
|
||||
return {
|
||||
seriesIndex,
|
||||
dataIndex,
|
||||
label: String(series.label ?? ''),
|
||||
color: resolveSeriesColor(series.stroke, u, seriesIndex),
|
||||
x,
|
||||
y,
|
||||
size: columns[2]?.[dataIndex] ?? null,
|
||||
};
|
||||
}
|
||||
|
||||
function formatChannel(
|
||||
value: number,
|
||||
channel: ScatterChannel,
|
||||
decimalPrecision?: PrecisionOption,
|
||||
): string {
|
||||
return getToolTipValue(value, channel.unit, decimalPrecision);
|
||||
}
|
||||
|
||||
export function buildChannelRows(
|
||||
point: ScatterHoveredPoint,
|
||||
channels: ScatterChannels,
|
||||
decimalPrecision?: PrecisionOption,
|
||||
): ScatterTooltipRow[] {
|
||||
const rows: ScatterTooltipRow[] = [
|
||||
{
|
||||
label: channels.x.label,
|
||||
value: formatChannel(point.x, channels.x, decimalPrecision),
|
||||
},
|
||||
{
|
||||
label: channels.y.label,
|
||||
value: formatChannel(point.y, channels.y, decimalPrecision),
|
||||
},
|
||||
];
|
||||
if (channels.size && point.size != null) {
|
||||
rows.push({
|
||||
label: channels.size.label,
|
||||
value: formatChannel(point.size, channels.size, decimalPrecision),
|
||||
});
|
||||
}
|
||||
return rows;
|
||||
}
|
||||
@@ -6,6 +6,10 @@ import uPlot from 'uplot';
|
||||
import { UPlotConfigBuilder } from '../config/UPlotConfigBuilder';
|
||||
import { LegendItem } from '../config/types';
|
||||
import { HeatmapSeries, HeatmapYAxis } from '../plugins/HeatmapPlugin/types';
|
||||
import type {
|
||||
ScatterChannels,
|
||||
ScatterPointLabel,
|
||||
} from '../plugins/ScatterPlugin/types';
|
||||
import { SyncTooltipFilterMode } from '../plugins/TooltipPlugin/types';
|
||||
|
||||
/**
|
||||
@@ -119,6 +123,17 @@ export interface HeatmapTooltipProps
|
||||
groupColor: string;
|
||||
}
|
||||
|
||||
/** Not part of `TooltipProps`: it describes one point's channels, not a series list. */
|
||||
export interface ScatterTooltipProps
|
||||
extends BaseTooltipProps, TooltipRenderArgs {
|
||||
channels: ScatterChannels;
|
||||
/** The group values behind a point, e.g. `service.name` → `cart`. */
|
||||
resolvePointLabels?: (
|
||||
seriesIndex: number,
|
||||
dataIndex: number,
|
||||
) => ScatterPointLabel[];
|
||||
}
|
||||
|
||||
export type TooltipProps =
|
||||
| TimeSeriesTooltipProps
|
||||
| BarTooltipProps
|
||||
|
||||
@@ -39,6 +39,16 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
};
|
||||
}
|
||||
|
||||
/** The axis line reads as the outermost grid line, so it takes the grid's style. */
|
||||
private buildBorderConfig(
|
||||
grid: uPlot.Axis.Grid | undefined,
|
||||
): uPlot.Axis.Border | undefined {
|
||||
if (this.props.showBorder === false || !grid) {
|
||||
return undefined;
|
||||
}
|
||||
return { show: true, stroke: grid.stroke, width: grid.width };
|
||||
}
|
||||
|
||||
/**
|
||||
* Build ticks configuration
|
||||
*/
|
||||
@@ -58,32 +68,49 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
}
|
||||
|
||||
/**
|
||||
* Build values formatter for X-axis (time)
|
||||
* Build values formatter for X-axis: time, or a value axis when a unit or
|
||||
* precision is given (scatter). Neither leaves uPlot's numeric default.
|
||||
*/
|
||||
private buildXAxisValuesFormatter(): uPlot.Axis.Values | undefined {
|
||||
const { isTimeAxis } = this.props;
|
||||
const { isTimeAxis, yAxisUnit, decimalPrecision } = this.props;
|
||||
|
||||
if (isTimeAxis) {
|
||||
return uPlotXAxisValuesFormat as uPlot.Axis.Values;
|
||||
}
|
||||
|
||||
if (yAxisUnit !== undefined || decimalPrecision !== undefined) {
|
||||
return this.buildValueAxisFormatter();
|
||||
}
|
||||
|
||||
return undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build values formatter for Y-axis (values with units)
|
||||
* Build values formatter for a value axis (values with units). A split outside
|
||||
* the scale's range gets no label: uPlot's arcsinh splits always include
|
||||
* ±threshold, and it would draw that label past the plot's edge.
|
||||
*/
|
||||
private buildYAxisValuesFormatter(): uPlot.Axis.Values {
|
||||
const { yAxisUnit, decimalPrecision } = this.props;
|
||||
private buildValueAxisFormatter(): uPlot.Axis.Values {
|
||||
const { yAxisUnit, decimalPrecision, scaleKey } = this.props;
|
||||
|
||||
return (_, t): string[] =>
|
||||
t.map((v) => {
|
||||
if (v === null || v === undefined || Number.isNaN(v)) {
|
||||
return (u, t): string[] => {
|
||||
const scale = u?.scales?.[scaleKey];
|
||||
const min = scale?.min ?? -Infinity;
|
||||
const max = scale?.max ?? Infinity;
|
||||
return t.map((v) => {
|
||||
if (
|
||||
v === null ||
|
||||
v === undefined ||
|
||||
Number.isNaN(v) ||
|
||||
v < min ||
|
||||
v > max
|
||||
) {
|
||||
return '';
|
||||
}
|
||||
const value = getToolTipValue(v.toString(), yAxisUnit, decimalPrecision);
|
||||
return `${value}`;
|
||||
});
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -101,7 +128,7 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
return scaleKey === 'x'
|
||||
? this.buildXAxisValuesFormatter()
|
||||
: scaleKey === 'y'
|
||||
? this.buildYAxisValuesFormatter()
|
||||
? this.buildValueAxisFormatter()
|
||||
: undefined;
|
||||
}
|
||||
|
||||
@@ -149,10 +176,12 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
side = 2, // bottom by default
|
||||
space,
|
||||
splits,
|
||||
filter,
|
||||
gap = 5, // default gap is 5
|
||||
} = this.props;
|
||||
|
||||
const grid = this.buildGridConfig();
|
||||
const border = this.buildBorderConfig(grid);
|
||||
const ticks = this.buildTicksConfig();
|
||||
const values = this.buildValuesFormatter();
|
||||
const size = this.buildSizeCalculator();
|
||||
@@ -177,6 +206,9 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
if (ticks) {
|
||||
axisConfig.ticks = ticks;
|
||||
}
|
||||
if (border) {
|
||||
axisConfig.border = border;
|
||||
}
|
||||
if (values) {
|
||||
axisConfig.values = values;
|
||||
}
|
||||
@@ -189,6 +221,9 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
if (space !== undefined) {
|
||||
axisConfig.space = space;
|
||||
}
|
||||
if (filter) {
|
||||
axisConfig.filter = filter;
|
||||
}
|
||||
if (size) {
|
||||
axisConfig.size = size;
|
||||
}
|
||||
|
||||
@@ -19,6 +19,7 @@ import {
|
||||
ConfigBuilder,
|
||||
ConfigBuilderProps,
|
||||
LegendItem,
|
||||
PlotMode,
|
||||
SelectionPreferencesSource,
|
||||
StackMode,
|
||||
} from './types';
|
||||
@@ -65,6 +66,8 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
|
||||
private stackMode: StackMode = StackMode.None;
|
||||
|
||||
private mode: PlotMode = PlotMode.Aligned;
|
||||
|
||||
private cursor: Cursor | undefined;
|
||||
|
||||
private hooks: Hooks.Arrays = {};
|
||||
@@ -160,6 +163,15 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
return this.stackMode;
|
||||
}
|
||||
|
||||
/** Faceted series carry their own x column each; see `SeriesProps.facets`. */
|
||||
setMode(mode: PlotMode): void {
|
||||
this.mode = mode;
|
||||
}
|
||||
|
||||
getMode(): PlotMode {
|
||||
return this.mode;
|
||||
}
|
||||
|
||||
/**
|
||||
* Add or merge a scale configuration
|
||||
*/
|
||||
@@ -512,6 +524,10 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
{} as Record<string, uPlot.Scale>,
|
||||
);
|
||||
|
||||
if (this.mode === PlotMode.Faceted) {
|
||||
config.mode = this.mode as number as uPlot.Mode;
|
||||
}
|
||||
|
||||
config.hooks = this.hooks;
|
||||
config.select = this.select;
|
||||
|
||||
|
||||
@@ -99,6 +99,7 @@ export class UPlotScaleBuilder extends ConfigBuilder<
|
||||
time,
|
||||
distr,
|
||||
logBase,
|
||||
asinhThreshold: this.props.asinhThreshold,
|
||||
});
|
||||
|
||||
const { rangeConfig, hardMinOnly, hardMaxOnly, hasFixedRange } =
|
||||
|
||||
@@ -87,6 +87,8 @@ export class UPlotSeriesBuilder extends ConfigBuilder<
|
||||
lineConfig.fill = finalFillColor;
|
||||
} else if (this.props.drawStyle === DrawStyle.Histogram) {
|
||||
lineConfig.fill = `${finalFillColor}40`;
|
||||
} else if (this.props.drawStyle === DrawStyle.Scatter) {
|
||||
lineConfig.fill = `${finalFillColor}${toAlphaHex(resolveFillOpacity(fillOpacity))}`;
|
||||
} else if (fillMode && fillMode !== FillMode.None) {
|
||||
const resolvedOpacity = resolveFillOpacity(fillOpacity);
|
||||
if (fillMode === FillMode.Solid) {
|
||||
@@ -122,7 +124,8 @@ export class UPlotSeriesBuilder extends ConfigBuilder<
|
||||
return { paths: pathBuilder };
|
||||
}
|
||||
|
||||
if (drawStyle === DrawStyle.Points) {
|
||||
// Scatter without a `pathBuilder` has nothing to draw its discs with.
|
||||
if (drawStyle === DrawStyle.Points || drawStyle === DrawStyle.Scatter) {
|
||||
return { paths: (): null => null };
|
||||
}
|
||||
|
||||
@@ -194,6 +197,10 @@ export class UPlotSeriesBuilder extends ConfigBuilder<
|
||||
if (drawStyle === DrawStyle.Points) {
|
||||
return true;
|
||||
}
|
||||
// The discs are the series path; uPlot's own points would double-draw them.
|
||||
if (drawStyle === DrawStyle.Scatter) {
|
||||
return false;
|
||||
}
|
||||
return !!showPoints;
|
||||
}
|
||||
|
||||
@@ -218,7 +225,7 @@ export class UPlotSeriesBuilder extends ConfigBuilder<
|
||||
}
|
||||
|
||||
getConfig(): ExtendedSeries {
|
||||
const { scaleKey, label, spanGaps, show = true, metric } = this.props;
|
||||
const { scaleKey, label, spanGaps, show = true, metric, facets } = this.props;
|
||||
|
||||
const resolvedLineColor = this.getLineColor();
|
||||
|
||||
@@ -246,6 +253,7 @@ export class UPlotSeriesBuilder extends ConfigBuilder<
|
||||
...pathConfig,
|
||||
points: Object.keys(pointsConfig).length > 0 ? pointsConfig : undefined,
|
||||
metric,
|
||||
...(facets && { facets }),
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -120,6 +120,35 @@ describe('UPlotAxisBuilder', () => {
|
||||
});
|
||||
});
|
||||
|
||||
it('draws the axis line by default, styled like the grid', () => {
|
||||
const config = new UPlotAxisBuilder(
|
||||
createAxisProps({ isDarkMode: true, grid: { width: 0.5 } }),
|
||||
).getConfig();
|
||||
|
||||
expect(config.border).toStrictEqual({
|
||||
show: true,
|
||||
stroke: config.grid?.stroke,
|
||||
width: 0.5,
|
||||
});
|
||||
});
|
||||
|
||||
it('leaves the axis line off when showBorder is false', () => {
|
||||
expect(
|
||||
new UPlotAxisBuilder(createAxisProps({ showBorder: false })).getConfig(),
|
||||
).not.toHaveProperty('border');
|
||||
});
|
||||
|
||||
it('passes explicit splits and a label filter through to uPlot', () => {
|
||||
const splits = jest.fn();
|
||||
const filter = jest.fn();
|
||||
const config = new UPlotAxisBuilder(
|
||||
createAxisProps({ splits, filter }),
|
||||
).getConfig();
|
||||
|
||||
expect(config.splits).toBe(splits);
|
||||
expect(config.filter).toBe(filter);
|
||||
});
|
||||
|
||||
it('uses provided ticks config when present and falls back to defaults otherwise', () => {
|
||||
const customTicks = { width: 1, show: false };
|
||||
const withTicks = new UPlotAxisBuilder(
|
||||
@@ -376,3 +405,51 @@ describe('UPlotAxisBuilder', () => {
|
||||
expect(config.values).toBeDefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('UPlotAxisBuilder value x axis', () => {
|
||||
it('formats a non-time x axis with its unit', () => {
|
||||
(getToolTipValue as jest.Mock).mockReturnValue('1.2K req/s');
|
||||
const config = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'x', isTimeAxis: false, yAxisUnit: 'reqps' }),
|
||||
).getConfig();
|
||||
|
||||
const values = (config.values as uPlot.Axis.DynamicValues)(
|
||||
{} as uPlot,
|
||||
[1200],
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
);
|
||||
|
||||
expect(values).toStrictEqual(['1.2K req/s']);
|
||||
expect(getToolTipValue).toHaveBeenCalledWith('1200', 'reqps', undefined);
|
||||
});
|
||||
|
||||
it('leaves a non-time x axis to uPlot when nothing says how to format it', () => {
|
||||
const config = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'x', isTimeAxis: false }),
|
||||
).getConfig();
|
||||
|
||||
expect(config.values).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('UPlotAxisBuilder out-of-range splits', () => {
|
||||
it('leaves a split the scale cannot place unlabelled', () => {
|
||||
(getToolTipValue as jest.Mock).mockImplementation((v: string) => `${v} ms`);
|
||||
const config = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'y', yAxisUnit: 'ms' }),
|
||||
).getConfig();
|
||||
const u = { scales: { y: { min: 0, max: 1000 } } } as unknown as uPlot;
|
||||
|
||||
const values = (config.values as uPlot.Axis.DynamicValues)(
|
||||
u,
|
||||
[-10, 0, 500, 5000],
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
);
|
||||
|
||||
expect(values).toStrictEqual(['', '0 ms', '500 ms', '']);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -5,7 +5,12 @@ import {
|
||||
STEP_INTERVAL_MULTIPLIER,
|
||||
} from '../../constants';
|
||||
import type { SeriesProps } from '../types';
|
||||
import { DrawStyle, SelectionPreferencesSource, StackMode } from '../types';
|
||||
import {
|
||||
DrawStyle,
|
||||
PlotMode,
|
||||
SelectionPreferencesSource,
|
||||
StackMode,
|
||||
} from '../types';
|
||||
import { UPlotConfigBuilder } from '../UPlotConfigBuilder';
|
||||
|
||||
// Mock only the real boundary that hits localStorage
|
||||
@@ -651,3 +656,15 @@ describe('UPlotConfigBuilder stacking', () => {
|
||||
expect(builder.getConfig().bands).toStrictEqual([{ series: [1, 3] }]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('UPlotConfigBuilder plot mode', () => {
|
||||
it('leaves mode unset for aligned data and emits 2 when faceted', () => {
|
||||
const aligned = new UPlotConfigBuilder({ id: 'aligned' });
|
||||
expect(aligned.getConfig().mode).toBeUndefined();
|
||||
|
||||
const faceted = new UPlotConfigBuilder({ id: 'faceted' });
|
||||
faceted.setMode(PlotMode.Faceted);
|
||||
expect(faceted.getMode()).toBe(PlotMode.Faceted);
|
||||
expect(faceted.getConfig().mode).toBe(2);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -399,3 +399,39 @@ describe('UPlotSeriesBuilder', () => {
|
||||
expect(builder.getConfig().fill).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('UPlotSeriesBuilder scatter', () => {
|
||||
it('draws through the given path builder and hides uPlot points', () => {
|
||||
const pathBuilder = jest.fn();
|
||||
const config = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Scatter,
|
||||
pathBuilder,
|
||||
facets: [{ scale: 'x' }, { scale: 'y' }],
|
||||
lineColor: '#ff0000',
|
||||
fillOpacity: 0.5,
|
||||
lineWidth: 1,
|
||||
pointSize: 8,
|
||||
}),
|
||||
).getConfig();
|
||||
|
||||
expect(config.paths).toBe(pathBuilder);
|
||||
expect(config.facets).toStrictEqual([{ scale: 'x' }, { scale: 'y' }]);
|
||||
expect(config.points?.show).toBe(false);
|
||||
expect(config.points?.size).toBe(8);
|
||||
expect(config.stroke).toBe('#ff0000');
|
||||
expect(config.width).toBe(1);
|
||||
expect(config.fill).toBe('#ff000080');
|
||||
});
|
||||
|
||||
it('draws nothing without a path builder', () => {
|
||||
const config = new UPlotSeriesBuilder(
|
||||
createBaseProps({ drawStyle: DrawStyle.Scatter }),
|
||||
).getConfig();
|
||||
|
||||
expect(
|
||||
(config.paths as uPlot.Series.PathBuilder)({} as uPlot, 1, 0, 0),
|
||||
).toBeNull();
|
||||
expect(config.facets).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -78,8 +78,12 @@ export interface AxisProps {
|
||||
};
|
||||
/** Explicit tick formatter, replacing the scale's default (time / unit-formatted). */
|
||||
values?: uPlot.Axis.Values;
|
||||
/** Explicit axis splits, overriding the default tick calculation. */
|
||||
/** Explicit tick positions, replacing uPlot's per-distribution default. */
|
||||
splits?: uPlot.Axis.Splits;
|
||||
/** Which splits get a label, replacing uPlot's per-distribution default. */
|
||||
filter?: uPlot.Axis.Filter;
|
||||
/** Draw the axis line along the plot edge, styled like the grid. Default true. */
|
||||
showBorder?: boolean;
|
||||
/** Pixels between the ticks and their labels; also feeds the y axis width calculation. */
|
||||
gap?: number;
|
||||
/** Explicit axis thickness. Left unset, the y axis sizes itself to its widest label. */
|
||||
@@ -90,7 +94,8 @@ export interface AxisProps {
|
||||
isDarkMode?: boolean;
|
||||
/** Axis is on a log scale — thins the grid lines to keep dense decades readable. */
|
||||
isLogScale?: boolean;
|
||||
/** Unit the y axis ticks are formatted in (`spec.formatting.unit`). */
|
||||
/** Unit the value ticks are formatted in (`spec.formatting.unit`). Named for the
|
||||
* y axis, the only value axis until scatter; a non-time x axis reads it too. */
|
||||
yAxisUnit?: string;
|
||||
/**
|
||||
* X axis carries timestamps, so its ticks format as dates/times. Declared by the caller
|
||||
@@ -109,6 +114,15 @@ export interface AxisProps {
|
||||
export enum DistributionType {
|
||||
Linear = 'linear',
|
||||
Logarithmic = 'logarithmic',
|
||||
/** arcsinh: linear within ±`asinhThreshold`, logarithmic beyond. Takes zero and
|
||||
* negatives, which a plain log cannot place. */
|
||||
SymmetricLog = 'symlog',
|
||||
}
|
||||
|
||||
/** uPlot's data layout: one shared x per chart, or per-series x/y columns. */
|
||||
export enum PlotMode {
|
||||
Aligned = 1,
|
||||
Faceted = 2,
|
||||
}
|
||||
|
||||
export interface ScaleProps {
|
||||
@@ -125,6 +139,8 @@ export interface ScaleProps {
|
||||
auto?: boolean;
|
||||
logBase?: uPlot.Scale.LogBase;
|
||||
distribution?: DistributionType;
|
||||
/** Half-width of a `SymmetricLog` scale's linear band around zero. Default 1. */
|
||||
asinhThreshold?: number;
|
||||
}
|
||||
|
||||
export enum DisconnectedValuesMode {
|
||||
@@ -146,6 +162,8 @@ export enum DrawStyle {
|
||||
Points = 'points',
|
||||
Bar = 'bar',
|
||||
Histogram = 'histogram',
|
||||
/** Faceted (mode 2) discs at per-series x/y, drawn by the caller's `pathBuilder`. */
|
||||
Scatter = 'scatter',
|
||||
}
|
||||
|
||||
export enum LineInterpolation {
|
||||
@@ -229,6 +247,8 @@ export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
isDarkMode?: boolean;
|
||||
stepInterval?: number;
|
||||
metric?: { [key: string]: string };
|
||||
/** Mode 2 only: the scales the series' own x and y columns are read against. */
|
||||
facets?: Series.Facet[];
|
||||
}
|
||||
|
||||
export interface LegendItem {
|
||||
|
||||
@@ -0,0 +1,114 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import { Quadtree } from '../../../utils/quadtree';
|
||||
import {
|
||||
resolveHit,
|
||||
resolvePointDiameter,
|
||||
resolveSizeDomain,
|
||||
} from '../geometry';
|
||||
import { ScatterHit, ScatterPointSize } from '../types';
|
||||
|
||||
const POINT_SIZE: ScatterPointSize = { fixed: 6, min: 4, max: 20 };
|
||||
|
||||
const asData = (columns: unknown[]): uPlot.AlignedData =>
|
||||
columns as unknown as uPlot.AlignedData;
|
||||
|
||||
describe('resolveSizeDomain', () => {
|
||||
it('spans the size columns of every series, skipping nulls', () => {
|
||||
const data = asData([
|
||||
null,
|
||||
[
|
||||
[1, 2],
|
||||
[1, 2],
|
||||
[10, null],
|
||||
],
|
||||
[[3], [3], [40]],
|
||||
]);
|
||||
|
||||
expect(resolveSizeDomain(data)).toStrictEqual({ min: 10, max: 40 });
|
||||
});
|
||||
|
||||
it('is null when no series carries sizes', () => {
|
||||
expect(resolveSizeDomain(asData([null, [[1], [1]]]))).toBeNull();
|
||||
expect(resolveSizeDomain(asData([null, [[1], [1], [null]]]))).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolvePointDiameter', () => {
|
||||
it('uses the fixed diameter without a size or a domain', () => {
|
||||
expect(resolvePointDiameter(null, { min: 0, max: 10 }, POINT_SIZE)).toBe(6);
|
||||
expect(resolvePointDiameter(5, null, POINT_SIZE)).toBe(6);
|
||||
});
|
||||
|
||||
it('maps the domain ends to min and max', () => {
|
||||
const domain = { min: 0, max: 100 };
|
||||
expect(resolvePointDiameter(0, domain, POINT_SIZE)).toBe(4);
|
||||
expect(resolvePointDiameter(100, domain, POINT_SIZE)).toBe(20);
|
||||
});
|
||||
|
||||
it('scales by area, not diameter', () => {
|
||||
const midArea = (4 ** 2 + 20 ** 2) / 2;
|
||||
expect(
|
||||
resolvePointDiameter(50, { min: 0, max: 100 }, POINT_SIZE),
|
||||
).toBeCloseTo(Math.sqrt(midArea));
|
||||
});
|
||||
|
||||
it('clamps values outside the domain', () => {
|
||||
const domain = { min: 10, max: 20 };
|
||||
expect(resolvePointDiameter(-5, domain, POINT_SIZE)).toBe(4);
|
||||
expect(resolvePointDiameter(500, domain, POINT_SIZE)).toBe(20);
|
||||
});
|
||||
|
||||
it('uses the midpoint when every size is the same', () => {
|
||||
expect(resolvePointDiameter(7, { min: 7, max: 7 }, POINT_SIZE)).toBe(12);
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolveHit', () => {
|
||||
const hit = (
|
||||
seriesIndex: number,
|
||||
dataIndex: number,
|
||||
x: number,
|
||||
y: number,
|
||||
d: number,
|
||||
): ScatterHit => ({ seriesIndex, dataIndex, x, y, w: d, h: d });
|
||||
|
||||
it('returns the disc under the cursor', () => {
|
||||
const tree = new Quadtree<ScatterHit>(0, 0, 100, 100);
|
||||
tree.add(hit(1, 0, 10, 10, 6));
|
||||
tree.add(hit(2, 3, 50, 50, 6));
|
||||
|
||||
expect(resolveHit(tree, 13, 13, 0)).toMatchObject({
|
||||
seriesIndex: 1,
|
||||
dataIndex: 0,
|
||||
});
|
||||
expect(resolveHit(tree, 52, 52, 0)).toMatchObject({
|
||||
seriesIndex: 2,
|
||||
dataIndex: 3,
|
||||
});
|
||||
});
|
||||
|
||||
it('is null when the cursor is off every disc', () => {
|
||||
const tree = new Quadtree<ScatterHit>(0, 0, 100, 100);
|
||||
tree.add(hit(1, 0, 10, 10, 6));
|
||||
|
||||
expect(resolveHit(tree, 30, 30, 0)).toBeNull();
|
||||
});
|
||||
|
||||
it('tolerance widens each disc', () => {
|
||||
const tree = new Quadtree<ScatterHit>(0, 0, 100, 100);
|
||||
tree.add(hit(1, 0, 10, 10, 6));
|
||||
|
||||
expect(resolveHit(tree, 18, 13, 0)).toBeNull();
|
||||
expect(resolveHit(tree, 18, 13, 3)).not.toBeNull();
|
||||
});
|
||||
|
||||
it('prefers the disc whose centre is nearest when they overlap', () => {
|
||||
const tree = new Quadtree<ScatterHit>(0, 0, 100, 100);
|
||||
tree.add(hit(1, 0, 10, 10, 10));
|
||||
tree.add(hit(1, 1, 14, 10, 10));
|
||||
|
||||
expect(resolveHit(tree, 13, 15, 0)?.dataIndex).toBe(0);
|
||||
expect(resolveHit(tree, 21, 15, 0)?.dataIndex).toBe(1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,288 @@
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { PlotMode } from '../../../config/types';
|
||||
import { UPlotConfigBuilder } from '../../../config/UPlotConfigBuilder';
|
||||
import {
|
||||
applyScatterPlugin,
|
||||
createScatterPlugin,
|
||||
SCATTER_FACETS,
|
||||
} from '../scatterPlugin';
|
||||
|
||||
jest.mock('lib/visualization/panels/utils/legendVisibilityUtils', () => ({
|
||||
getStoredSeriesVisibility: jest.fn(),
|
||||
}));
|
||||
|
||||
/** jsdom has no Path2D; the builder only needs something that takes the calls. */
|
||||
class FakePath2D {
|
||||
moveTo = jest.fn();
|
||||
arc = jest.fn();
|
||||
}
|
||||
|
||||
type OrientCallback = Parameters<typeof uPlot.orient>[2];
|
||||
|
||||
interface FakePlotArgs {
|
||||
series: Array<{ xs: number[]; ys: number[]; sizes?: Array<number | null> }>;
|
||||
cursor?: { left: number; top: number };
|
||||
scaleX?: { min: number; max: number };
|
||||
scaleY?: { min: number; max: number };
|
||||
}
|
||||
|
||||
/**
|
||||
* A 100×100 plot at the canvas origin with identity scales: value 10 draws at
|
||||
* pixel 10 on x, and at 100 − 10 on y (uPlot's y grows downward).
|
||||
*/
|
||||
function createFakePlot({
|
||||
series,
|
||||
cursor = { left: -1, top: -1 },
|
||||
scaleX = { min: 0, max: 100 },
|
||||
scaleY = { min: 0, max: 100 },
|
||||
}: FakePlotArgs): uPlot {
|
||||
const data = [
|
||||
null,
|
||||
...series.map((entry) =>
|
||||
entry.sizes ? [entry.xs, entry.ys, entry.sizes] : [entry.xs, entry.ys],
|
||||
),
|
||||
];
|
||||
return {
|
||||
data,
|
||||
series: [{}, ...series.map((_, index) => ({ label: `s${index + 1}` }))],
|
||||
bbox: { left: 0, top: 0, width: 100, height: 100 },
|
||||
cursor,
|
||||
scales: { x: scaleX, y: scaleY },
|
||||
} as unknown as uPlot;
|
||||
}
|
||||
|
||||
/** Stands in for `uPlot.orient`: identity x, flipped y, an `arc` that records. */
|
||||
function orientWithIdentityScales(
|
||||
u: uPlot,
|
||||
seriesIdx: number,
|
||||
cb: OrientCallback,
|
||||
): void {
|
||||
const columns = (u.data as unknown as Array<number[][] | null>)[seriesIdx];
|
||||
if (!columns) {
|
||||
return;
|
||||
}
|
||||
const scaleX = (u.scales as unknown as Record<string, uPlot.Scale>).x;
|
||||
const scaleY = (u.scales as unknown as Record<string, uPlot.Scale>).y;
|
||||
const valToPosX = (value: number): number => value;
|
||||
const valToPosY = (value: number): number => 100 - value;
|
||||
// Real uPlot's `arc` helper forwards to the path; the test counts those calls.
|
||||
const arc = (path: FakePath2D, ...args: number[]): void => {
|
||||
path.arc(...args);
|
||||
};
|
||||
cb(
|
||||
u.series[seriesIdx],
|
||||
columns[0],
|
||||
columns[1],
|
||||
scaleX,
|
||||
scaleY,
|
||||
valToPosX as unknown as uPlot.ValToPos,
|
||||
valToPosY as unknown as uPlot.ValToPos,
|
||||
0,
|
||||
0,
|
||||
100,
|
||||
100,
|
||||
jest.fn() as never,
|
||||
jest.fn() as never,
|
||||
jest.fn() as never,
|
||||
arc as never,
|
||||
jest.fn() as never,
|
||||
);
|
||||
}
|
||||
|
||||
describe('createScatterPlugin', () => {
|
||||
beforeAll(() => {
|
||||
(globalThis as { Path2D?: unknown }).Path2D = FakePath2D;
|
||||
});
|
||||
|
||||
beforeEach(() => {
|
||||
(uPlot.orient as jest.Mock).mockImplementation(orientWithIdentityScales);
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
(uPlot.orient as jest.Mock).mockReset();
|
||||
});
|
||||
|
||||
function drawAll(
|
||||
u: uPlot,
|
||||
plugin: ReturnType<typeof createScatterPlugin>,
|
||||
): void {
|
||||
plugin.hooks.drawClear(u);
|
||||
for (let seriesIdx = 1; seriesIdx < u.series.length; seriesIdx++) {
|
||||
const columns = (u.data as unknown as number[][][])[seriesIdx];
|
||||
plugin.pathBuilder(u, seriesIdx, 0, columns[0].length - 1);
|
||||
}
|
||||
}
|
||||
|
||||
/** Runs the cursor scan the way uPlot does: every data series, in order. */
|
||||
function scan(
|
||||
u: uPlot,
|
||||
plugin: ReturnType<typeof createScatterPlugin>,
|
||||
): Array<number | null> {
|
||||
const dataIdx = plugin.cursor.dataIdx as NonNullable<uPlot.Cursor['dataIdx']>;
|
||||
const indexes: Array<number | null> = [null];
|
||||
for (let seriesIdx = 1; seriesIdx < u.series.length; seriesIdx++) {
|
||||
indexes.push(dataIdx(u, seriesIdx, 0, 0));
|
||||
}
|
||||
return indexes;
|
||||
}
|
||||
|
||||
it('returns one path that strokes and fills the same discs', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
const u = createFakePlot({ series: [{ xs: [10, 20], ys: [10, 20] }] });
|
||||
plugin.hooks.drawClear(u);
|
||||
|
||||
const paths = plugin.pathBuilder(u, 1, 0, 1) as uPlot.Series.Paths;
|
||||
|
||||
expect(paths.stroke).toBeInstanceOf(FakePath2D);
|
||||
expect(paths.fill).toBe(paths.stroke);
|
||||
expect((paths.fill as unknown as FakePath2D).arc).toHaveBeenCalledTimes(2);
|
||||
});
|
||||
|
||||
it('resolves the hovered point to its own series and index', () => {
|
||||
const plugin = createScatterPlugin({
|
||||
pointSize: { fixed: 6, min: 4, max: 20 },
|
||||
});
|
||||
const u = createFakePlot({
|
||||
series: [
|
||||
{ xs: [10, 50], ys: [10, 50] },
|
||||
{ xs: [80], ys: [80] },
|
||||
],
|
||||
// Over the second series' only point: x 80, y drawn at 100 − 80.
|
||||
cursor: { left: 80, top: 20 },
|
||||
});
|
||||
drawAll(u, plugin);
|
||||
|
||||
expect(scan(u, plugin)).toStrictEqual([null, null, 0]);
|
||||
expect(plugin.getHit()).toMatchObject({ seriesIndex: 2, dataIndex: 0 });
|
||||
});
|
||||
|
||||
it('returns null for every series when the cursor is off the plot or off any disc', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
const u = createFakePlot({
|
||||
series: [{ xs: [10], ys: [10] }],
|
||||
cursor: { left: -1, top: -1 },
|
||||
});
|
||||
drawAll(u, plugin);
|
||||
|
||||
expect(scan(u, plugin)).toStrictEqual([null, null]);
|
||||
|
||||
(u.cursor as { left: number; top: number }).left = 50;
|
||||
(u.cursor as { left: number; top: number }).top = 50;
|
||||
expect(scan(u, plugin)).toStrictEqual([null, null]);
|
||||
});
|
||||
|
||||
it('skips points outside the visible scale range', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
const u = createFakePlot({
|
||||
series: [{ xs: [10, 500], ys: [10, 10] }],
|
||||
cursor: { left: 10, top: 90 },
|
||||
});
|
||||
drawAll(u, plugin);
|
||||
|
||||
const paths = plugin.pathBuilder(u, 1, 0, 1) as uPlot.Series.Paths;
|
||||
expect((paths.fill as unknown as FakePath2D).arc).toHaveBeenCalledTimes(1);
|
||||
expect(scan(u, plugin)).toStrictEqual([null, 0]);
|
||||
});
|
||||
|
||||
it('rings the hit disc, in CSS pixels, with a gap around it', () => {
|
||||
const plugin = createScatterPlugin({
|
||||
pointSize: { fixed: 8, min: 4, max: 20 },
|
||||
});
|
||||
const u = createFakePlot({
|
||||
series: [{ xs: [10], ys: [10] }],
|
||||
cursor: { left: 10, top: 90 },
|
||||
});
|
||||
drawAll(u, plugin);
|
||||
scan(u, plugin);
|
||||
|
||||
const bbox = plugin.cursor.points?.bbox;
|
||||
// The 8px disc spans 6..14; the ring sits 3px out and is 2px wide.
|
||||
expect(bbox?.(u, 1)).toStrictEqual({
|
||||
left: 1,
|
||||
top: 81,
|
||||
width: 18,
|
||||
height: 18,
|
||||
});
|
||||
expect(bbox?.(u, 2)).toMatchObject({ width: 0, height: 0 });
|
||||
});
|
||||
|
||||
it('snaps the ring to whole pixels without moving its centre', () => {
|
||||
const plugin = createScatterPlugin({
|
||||
pointSize: { fixed: 7, min: 4, max: 20 },
|
||||
});
|
||||
const u = createFakePlot({
|
||||
series: [{ xs: [10], ys: [10] }],
|
||||
cursor: { left: 10, top: 90 },
|
||||
});
|
||||
drawAll(u, plugin);
|
||||
scan(u, plugin);
|
||||
|
||||
// The 7px disc starts at 6.5, so the ring's edge would land on 1.5.
|
||||
const ring = plugin.cursor.points?.bbox?.(u, 1);
|
||||
expect(ring).toMatchObject({ left: 1, width: 18 });
|
||||
expect((ring?.left ?? 0) + (ring?.width ?? 0) / 2).toBe(10);
|
||||
});
|
||||
|
||||
it('draws the hover marker as an outline in the series colour', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
const u = {
|
||||
series: [{}, { stroke: (): string => '#E5484D' }, { stroke: '#30A46C' }],
|
||||
} as unknown as uPlot;
|
||||
const points = plugin.cursor.points as {
|
||||
fill: (u: uPlot, seriesIdx: number) => string;
|
||||
stroke: (u: uPlot, seriesIdx: number) => string;
|
||||
width: (u: uPlot, seriesIdx: number, size: number) => number;
|
||||
};
|
||||
|
||||
expect(points.fill(u, 1)).toBe('transparent');
|
||||
expect(points.stroke(u, 1)).toBe('#E5484D');
|
||||
expect(points.stroke(u, 2)).toBe('#30A46C');
|
||||
expect(points.width(u, 1, 0)).toBe(2);
|
||||
});
|
||||
|
||||
it('drawClear drops cached paths on data series only', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
const u = createFakePlot({ series: [{ xs: [1], ys: [1] }] });
|
||||
const [xSeries, dataSeries] = u.series as Array<{ _paths?: unknown }>;
|
||||
xSeries._paths = 'x';
|
||||
dataSeries._paths = 'cached';
|
||||
|
||||
plugin.hooks.drawClear(u);
|
||||
|
||||
expect(xSeries._paths).toBe('x');
|
||||
expect(dataSeries._paths).toBeNull();
|
||||
});
|
||||
|
||||
it('focus distance is zero, so the hit series wins focus', () => {
|
||||
const plugin = createScatterPlugin();
|
||||
expect(plugin.cursor.focus?.dist?.({} as uPlot, 1, 0, 0, 0)).toBe(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('applyScatterPlugin', () => {
|
||||
it('switches the builder to faceted mode and disables drag selection', () => {
|
||||
const builder = new UPlotConfigBuilder({ id: 'scatter' });
|
||||
const plugin = createScatterPlugin();
|
||||
|
||||
applyScatterPlugin(builder, plugin);
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(builder.getMode()).toBe(PlotMode.Faceted);
|
||||
expect(config.mode).toBe(2);
|
||||
expect(config.cursor?.drag).toMatchObject({
|
||||
x: false,
|
||||
y: false,
|
||||
setScale: false,
|
||||
});
|
||||
expect(config.hooks?.drawClear).toHaveLength(1);
|
||||
expect(config.hooks?.destroy).toHaveLength(1);
|
||||
});
|
||||
|
||||
it('facets read x and y against the shared scales', () => {
|
||||
expect(SCATTER_FACETS).toStrictEqual([
|
||||
{ scale: 'x', auto: true },
|
||||
{ scale: 'y', auto: true },
|
||||
]);
|
||||
});
|
||||
});
|
||||
96
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/geometry.ts
Normal file
96
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/geometry.ts
Normal file
@@ -0,0 +1,96 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import type { Quadtree } from '../../utils/quadtree';
|
||||
import type { ScatterHit, ScatterPointSize, ScatterSeriesData } from './types';
|
||||
|
||||
export interface SizeDomain {
|
||||
min: number;
|
||||
max: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Extent of the size column across every series, so equal values draw equal
|
||||
* discs whichever group they belong to. `null` when nothing carries a size.
|
||||
*/
|
||||
export function resolveSizeDomain(data: uPlot.AlignedData): SizeDomain | null {
|
||||
let min = Infinity;
|
||||
let max = -Infinity;
|
||||
for (let seriesIndex = 1; seriesIndex < data.length; seriesIndex++) {
|
||||
const sizes = (data[seriesIndex] as unknown as ScatterSeriesData)[2];
|
||||
if (!sizes) {
|
||||
continue;
|
||||
}
|
||||
for (const size of sizes) {
|
||||
if (size == null || !Number.isFinite(size)) {
|
||||
continue;
|
||||
}
|
||||
min = Math.min(min, size);
|
||||
max = Math.max(max, size);
|
||||
}
|
||||
}
|
||||
return min <= max ? { min, max } : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Disc diameter for a size value. Area, not diameter, follows the value: a
|
||||
* point worth twice as much should look twice as big.
|
||||
*/
|
||||
export function resolvePointDiameter(
|
||||
size: number | null | undefined,
|
||||
domain: SizeDomain | null,
|
||||
pointSize: ScatterPointSize,
|
||||
): number {
|
||||
if (size == null || domain == null || !Number.isFinite(size)) {
|
||||
return pointSize.fixed;
|
||||
}
|
||||
if (domain.max === domain.min) {
|
||||
return (pointSize.min + pointSize.max) / 2;
|
||||
}
|
||||
const t = Math.min(
|
||||
1,
|
||||
Math.max(0, (size - domain.min) / (domain.max - domain.min)),
|
||||
);
|
||||
const minArea = pointSize.min ** 2;
|
||||
const maxArea = pointSize.max ** 2;
|
||||
return Math.sqrt(minArea + (maxArea - minArea) * t);
|
||||
}
|
||||
|
||||
/**
|
||||
* Nearest disc under the cursor, or `null`. Overlapping discs resolve to the one
|
||||
* whose centre is closest; `tolerance` widens every disc so thin points stay
|
||||
* hoverable.
|
||||
*/
|
||||
export function resolveHit(
|
||||
tree: Quadtree<ScatterHit>,
|
||||
cx: number,
|
||||
cy: number,
|
||||
tolerance: number,
|
||||
): ScatterHit | null {
|
||||
let best: ScatterHit | null = null;
|
||||
let bestDistance = Infinity;
|
||||
|
||||
tree.get(
|
||||
cx - tolerance,
|
||||
cy - tolerance,
|
||||
tolerance * 2,
|
||||
tolerance * 2,
|
||||
(hit) => {
|
||||
const left = hit.x - tolerance;
|
||||
const top = hit.y - tolerance;
|
||||
const right = hit.x + hit.w + tolerance;
|
||||
const bottom = hit.y + hit.h + tolerance;
|
||||
if (cx < left || cx > right || cy < top || cy > bottom) {
|
||||
return;
|
||||
}
|
||||
const dx = cx - (hit.x + hit.w / 2);
|
||||
const dy = cy - (hit.y + hit.h / 2);
|
||||
const distance = dx * dx + dy * dy;
|
||||
if (distance < bestDistance) {
|
||||
best = hit;
|
||||
bestDistance = distance;
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
return best;
|
||||
}
|
||||
234
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/scatterPlugin.ts
Normal file
234
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/scatterPlugin.ts
Normal file
@@ -0,0 +1,234 @@
|
||||
import uPlot, { Series } from 'uplot';
|
||||
|
||||
import { DEFAULT_FOCUS_PROXIMITY_VALUE } from '../../constants';
|
||||
import { PlotMode } from '../../config/types';
|
||||
import type { UPlotConfigBuilder } from '../../config/UPlotConfigBuilder';
|
||||
import { Quadtree } from '../../utils/quadtree';
|
||||
import {
|
||||
resolveHit,
|
||||
resolvePointDiameter,
|
||||
resolveSizeDomain,
|
||||
SizeDomain,
|
||||
} from './geometry';
|
||||
import {
|
||||
DEFAULT_HOVER_TOLERANCE_PX,
|
||||
DEFAULT_SCATTER_POINT_SIZE,
|
||||
ScatterHit,
|
||||
ScatterPluginOptions,
|
||||
ScatterSeriesData,
|
||||
} from './types';
|
||||
|
||||
/** Every scatter series reads its own x and y columns against the shared scales. */
|
||||
export const SCATTER_FACETS: Series.Facet[] = [
|
||||
{ scale: 'x', auto: true },
|
||||
{ scale: 'y', auto: true },
|
||||
];
|
||||
|
||||
const HIDDEN_BBOX: uPlot.BBox = { left: -10, top: -10, width: 0, height: 0 };
|
||||
|
||||
const TWO_PI = 2 * Math.PI;
|
||||
|
||||
/** CSS pixels between a hovered disc and the outline ring drawn around it. */
|
||||
const HOVER_RING_GAP_PX = 3;
|
||||
const HOVER_RING_WIDTH_PX = 2;
|
||||
|
||||
/**
|
||||
* uPlot `ceil`s a cursor point's left/top but not its size, which pulls a ring
|
||||
* up to 1px right and down of the disc. Snapping the edge to a whole pixel and
|
||||
* growing the span by twice the snap keeps the centre exact.
|
||||
*/
|
||||
function snapToPixel(start: number, length: number): [number, number] {
|
||||
const snapped = Math.floor(start);
|
||||
return [snapped, length + (start - snapped) * 2];
|
||||
}
|
||||
|
||||
export function getSeriesStroke(u: uPlot, seriesIdx: number): string {
|
||||
const { stroke } = u.series[seriesIdx];
|
||||
const color = typeof stroke === 'function' ? stroke(u, seriesIdx) : stroke;
|
||||
return typeof color === 'string' ? color : '';
|
||||
}
|
||||
|
||||
/** uPlot caches built paths on the series; the field is internal to it. */
|
||||
type SeriesWithPaths = Series & { _paths?: Series.Paths | null };
|
||||
|
||||
export interface ScatterPlugin {
|
||||
/** Draws every point of a series as one path and indexes the discs for hover. */
|
||||
pathBuilder: Series.PathBuilder;
|
||||
/** Hover by disc rather than by nearest x: mode 2 has no shared x to scan. */
|
||||
cursor: uPlot.Cursor;
|
||||
hooks: {
|
||||
drawClear: (u: uPlot) => void;
|
||||
destroy: (u: uPlot) => void;
|
||||
};
|
||||
getHit: () => ScatterHit | null;
|
||||
}
|
||||
|
||||
export function createScatterPlugin({
|
||||
pointSize = DEFAULT_SCATTER_POINT_SIZE,
|
||||
hoverTolerance = DEFAULT_HOVER_TOLERANCE_PX,
|
||||
}: ScatterPluginOptions = {}): ScatterPlugin {
|
||||
let tree: Quadtree<ScatterHit> | null = null;
|
||||
let hit: ScatterHit | null = null;
|
||||
|
||||
// The domain spans every series, so it is resolved once per dataset rather than
|
||||
// once per series path.
|
||||
let cachedData: uPlot.AlignedData | null = null;
|
||||
let cachedDomain: SizeDomain | null = null;
|
||||
|
||||
function getSizeDomain(u: uPlot): SizeDomain | null {
|
||||
if (cachedData !== u.data) {
|
||||
cachedDomain = resolveSizeDomain(u.data);
|
||||
cachedData = u.data;
|
||||
}
|
||||
return cachedDomain;
|
||||
}
|
||||
|
||||
const pathBuilder: Series.PathBuilder = (u, seriesIdx, idx0, idx1) => {
|
||||
const path = new Path2D();
|
||||
const sizes = (u.data[seriesIdx] as unknown as ScatterSeriesData)[2];
|
||||
const domain = getSizeDomain(u);
|
||||
const { pxRatio } = uPlot;
|
||||
|
||||
uPlot.orient(
|
||||
u,
|
||||
seriesIdx,
|
||||
(
|
||||
_series,
|
||||
dataX,
|
||||
dataY,
|
||||
scaleX,
|
||||
scaleY,
|
||||
valToPosX,
|
||||
valToPosY,
|
||||
xOff,
|
||||
yOff,
|
||||
xDim,
|
||||
yDim,
|
||||
_moveTo,
|
||||
_lineTo,
|
||||
_rect,
|
||||
arc,
|
||||
) => {
|
||||
const xMin = scaleX.min ?? -Infinity;
|
||||
const xMax = scaleX.max ?? Infinity;
|
||||
const yMin = scaleY.min ?? -Infinity;
|
||||
const yMax = scaleY.max ?? Infinity;
|
||||
|
||||
for (let i = idx0; i <= idx1; i++) {
|
||||
const x = dataX[i];
|
||||
const y = dataY[i];
|
||||
if (
|
||||
x == null ||
|
||||
y == null ||
|
||||
x < xMin ||
|
||||
x > xMax ||
|
||||
y < yMin ||
|
||||
y > yMax
|
||||
) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const diameter =
|
||||
resolvePointDiameter(sizes?.[i], domain, pointSize) * pxRatio;
|
||||
const radius = diameter / 2;
|
||||
const cx = valToPosX(x, scaleX, xDim, xOff);
|
||||
const cy = valToPosY(y, scaleY, yDim, yOff);
|
||||
|
||||
path.moveTo(cx + radius, cy);
|
||||
arc(path, cx, cy, radius, 0, TWO_PI);
|
||||
|
||||
tree?.add({
|
||||
x: cx - radius - u.bbox.left,
|
||||
y: cy - radius - u.bbox.top,
|
||||
w: diameter,
|
||||
h: diameter,
|
||||
seriesIndex: seriesIdx,
|
||||
dataIndex: i,
|
||||
});
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
return { stroke: path, fill: path, clip: null };
|
||||
};
|
||||
|
||||
const cursor: uPlot.Cursor = {
|
||||
// Selection would set the dashboard time range; neither axis is time here.
|
||||
drag: { x: false, y: false, setScale: false },
|
||||
dataIdx: (u, seriesIdx): number | null => {
|
||||
// uPlot asks series 1..n in order on every cursor move; resolve once.
|
||||
if (seriesIdx === 1) {
|
||||
const { left = -1, top = -1 } = u.cursor;
|
||||
const { pxRatio } = uPlot;
|
||||
hit =
|
||||
tree && left >= 0 && top >= 0
|
||||
? resolveHit(
|
||||
tree,
|
||||
left * pxRatio,
|
||||
top * pxRatio,
|
||||
hoverTolerance * pxRatio,
|
||||
)
|
||||
: null;
|
||||
}
|
||||
return hit?.seriesIndex === seriesIdx ? hit.dataIndex : null;
|
||||
},
|
||||
points: {
|
||||
bbox: (_u, seriesIdx): uPlot.BBox => {
|
||||
if (hit?.seriesIndex !== seriesIdx) {
|
||||
return HIDDEN_BBOX;
|
||||
}
|
||||
const { pxRatio } = uPlot;
|
||||
const inset = HOVER_RING_GAP_PX + HOVER_RING_WIDTH_PX;
|
||||
const [left, width] = snapToPixel(
|
||||
hit.x / pxRatio - inset,
|
||||
hit.w / pxRatio + inset * 2,
|
||||
);
|
||||
const [top, height] = snapToPixel(
|
||||
hit.y / pxRatio - inset,
|
||||
hit.h / pxRatio + inset * 2,
|
||||
);
|
||||
return { left, top, width, height };
|
||||
},
|
||||
// An outline around the disc, so the point itself stays readable.
|
||||
fill: (): string => 'transparent',
|
||||
stroke: getSeriesStroke,
|
||||
width: (): number => HOVER_RING_WIDTH_PX,
|
||||
},
|
||||
// uPlot only measures series that returned a data index, i.e. the hit one.
|
||||
focus: { prox: DEFAULT_FOCUS_PROXIMITY_VALUE, dist: (): number => 0 },
|
||||
};
|
||||
|
||||
return {
|
||||
pathBuilder,
|
||||
cursor,
|
||||
hooks: {
|
||||
drawClear: (u: uPlot): void => {
|
||||
tree = new Quadtree<ScatterHit>(0, 0, u.bbox.width, u.bbox.height);
|
||||
// The tree only knows what the path builder last drew, so cached paths
|
||||
// must be rebuilt alongside it.
|
||||
u.series.forEach((series, index) => {
|
||||
if (index > 0) {
|
||||
(series as SeriesWithPaths)._paths = null;
|
||||
}
|
||||
});
|
||||
},
|
||||
destroy: (): void => {
|
||||
tree = null;
|
||||
hit = null;
|
||||
cachedData = null;
|
||||
cachedDomain = null;
|
||||
},
|
||||
},
|
||||
getHit: (): ScatterHit | null => hit,
|
||||
};
|
||||
}
|
||||
|
||||
export function applyScatterPlugin(
|
||||
builder: UPlotConfigBuilder,
|
||||
plugin: ScatterPlugin,
|
||||
): void {
|
||||
builder.setMode(PlotMode.Faceted);
|
||||
builder.setCursor(plugin.cursor);
|
||||
builder.addHook('drawClear', plugin.hooks.drawClear);
|
||||
builder.addHook('destroy', plugin.hooks.destroy);
|
||||
}
|
||||
58
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/types.ts
Normal file
58
frontend/src/lib/uPlotV2/plugins/ScatterPlugin/types.ts
Normal file
@@ -0,0 +1,58 @@
|
||||
import type { QuadtreeRect } from '../../utils/quadtree';
|
||||
|
||||
/** Diameters in CSS pixels. `min`/`max` bound the area scale when a size column is mapped. */
|
||||
export interface ScatterPointSize {
|
||||
fixed: number;
|
||||
min: number;
|
||||
max: number;
|
||||
}
|
||||
|
||||
export const DEFAULT_SCATTER_POINT_SIZE: ScatterPointSize = {
|
||||
fixed: 6,
|
||||
min: 4,
|
||||
max: 24,
|
||||
};
|
||||
|
||||
/** CSS pixels around a point's disc that still register as a hover. */
|
||||
export const DEFAULT_HOVER_TOLERANCE_PX = 3;
|
||||
|
||||
export interface ScatterPluginOptions {
|
||||
pointSize?: ScatterPointSize;
|
||||
hoverTolerance?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* One faceted series: parallel columns, one point per index. Sizes are in the
|
||||
* caller's units and mapped to `pointSize` at draw time; `null` draws at `fixed`.
|
||||
*/
|
||||
export type ScatterSeriesData = [
|
||||
xs: number[],
|
||||
ys: number[],
|
||||
sizes?: Array<number | null>,
|
||||
];
|
||||
|
||||
/** Mode-2 data: series 0 is uPlot's x placeholder and carries nothing. */
|
||||
export type ScatterChartData = [null, ...ScatterSeriesData[]];
|
||||
|
||||
/** A drawn point's disc, in canvas pixels relative to the plot area. */
|
||||
export interface ScatterHit extends QuadtreeRect {
|
||||
seriesIndex: number;
|
||||
dataIndex: number;
|
||||
}
|
||||
|
||||
export interface ScatterChannel {
|
||||
label: string;
|
||||
unit?: string;
|
||||
}
|
||||
|
||||
/** What each visual channel plots, for the tooltip and axes. */
|
||||
export interface ScatterChannels {
|
||||
x: ScatterChannel;
|
||||
y: ScatterChannel;
|
||||
size?: ScatterChannel;
|
||||
}
|
||||
|
||||
export interface ScatterPointLabel {
|
||||
key: string;
|
||||
value: string;
|
||||
}
|
||||
@@ -0,0 +1,52 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import { buildClickData } from '../utils';
|
||||
|
||||
jest.mock('lib/uPlotLib/plugins/onClickPlugin', () => ({
|
||||
getFocusedSeriesAtPosition: jest.fn(() => ({ seriesIndex: 1 })),
|
||||
}));
|
||||
|
||||
const event = {
|
||||
offsetX: 10,
|
||||
offsetY: 20,
|
||||
clientX: 110,
|
||||
clientY: 220,
|
||||
} as MouseEvent;
|
||||
|
||||
describe('buildClickData', () => {
|
||||
it('skips the x-index lookups on a faceted plot, which has no shared x series', () => {
|
||||
const posToIdx = jest.fn(() => {
|
||||
throw new Error('faceted data[0] is null');
|
||||
});
|
||||
const plot = {
|
||||
data: [null],
|
||||
posToVal: (pos: number): number => pos * 2,
|
||||
posToIdx,
|
||||
} as unknown as uPlot;
|
||||
|
||||
expect(buildClickData(event, plot)).toStrictEqual({
|
||||
xValue: 20,
|
||||
yValue: 40,
|
||||
focusedSeries: null,
|
||||
clickedDataTimestamp: 20,
|
||||
mouseX: 10,
|
||||
mouseY: 20,
|
||||
absoluteMouseX: 110,
|
||||
absoluteMouseY: 220,
|
||||
});
|
||||
expect(posToIdx).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('resolves the focused series and clicked timestamp on an aligned plot', () => {
|
||||
const plot = {
|
||||
data: [[100, 200, 300]],
|
||||
posToVal: (pos: number): number => pos,
|
||||
posToIdx: (): number => 1,
|
||||
} as unknown as uPlot;
|
||||
|
||||
expect(buildClickData(event, plot)).toMatchObject({
|
||||
focusedSeries: { seriesIndex: 1 },
|
||||
clickedDataTimestamp: 200,
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -174,6 +174,25 @@ export function createLayoutObserver(
|
||||
export function buildClickData(event: MouseEvent, plot: uPlot): ChartClickData {
|
||||
const xValue = plot.posToVal(event.offsetX, 'x');
|
||||
const yValue = plot.posToVal(event.offsetY, 'y');
|
||||
const pointer = {
|
||||
mouseX: event.offsetX,
|
||||
mouseY: event.offsetY,
|
||||
absoluteMouseX: event.clientX,
|
||||
absoluteMouseY: event.clientY,
|
||||
};
|
||||
|
||||
// A faceted plot (scatter) has no shared x series, so `data[0]` is null and
|
||||
// `posToIdx` would throw; the hit is the plot's own to resolve.
|
||||
if (plot.data[0] == null) {
|
||||
return {
|
||||
xValue,
|
||||
yValue,
|
||||
focusedSeries: null,
|
||||
clickedDataTimestamp: xValue,
|
||||
...pointer,
|
||||
};
|
||||
}
|
||||
|
||||
const focusedSeries = getFocusedSeriesAtPosition(event, plot);
|
||||
|
||||
const dataIndex = plot.posToIdx(event.offsetX);
|
||||
@@ -193,9 +212,6 @@ export function buildClickData(event: MouseEvent, plot: uPlot): ChartClickData {
|
||||
yValue,
|
||||
focusedSeries,
|
||||
clickedDataTimestamp,
|
||||
mouseX: event.offsetX,
|
||||
mouseY: event.offsetY,
|
||||
absoluteMouseX: event.clientX,
|
||||
absoluteMouseY: event.clientY,
|
||||
...pointer,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -0,0 +1,59 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import { logScaleSplits, spacedLogLabels } from '../logGridSplits';
|
||||
|
||||
describe('logScaleSplits', () => {
|
||||
const splitsFor = (min: number, max: number): number[] =>
|
||||
(
|
||||
logScaleSplits as (
|
||||
u: uPlot,
|
||||
axisIdx: number,
|
||||
min: number,
|
||||
max: number,
|
||||
) => number[]
|
||||
)({} as uPlot, 0, min, max);
|
||||
|
||||
it('splits at 1, 2 and 5 × 10ⁿ inside an unsnapped range', () => {
|
||||
expect(splitsFor(10.6, 990)).toStrictEqual([20, 50, 100, 200, 500]);
|
||||
});
|
||||
|
||||
it('includes the ends when they fall on a split', () => {
|
||||
expect(splitsFor(0.1, 10)).toStrictEqual([0.1, 0.2, 0.5, 1, 2, 5, 10]);
|
||||
});
|
||||
|
||||
it('is empty for a range a log scale cannot hold', () => {
|
||||
expect(splitsFor(0, 10)).toStrictEqual([]);
|
||||
expect(splitsFor(5, 5)).toStrictEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('spacedLogLabels', () => {
|
||||
// 100px per decade.
|
||||
const plot = {
|
||||
axes: [{ scale: 'x' }],
|
||||
valToPos: (value: number): number => Math.log10(value) * 100,
|
||||
} as unknown as uPlot;
|
||||
const label = (splits: number[], space: number): (number | null)[] =>
|
||||
spacedLogLabels(plot, splits, 0, space, 0) as (number | null)[];
|
||||
|
||||
it('always labels the powers of ten', () => {
|
||||
expect(label([10, 20, 50, 100], 200)).toStrictEqual([10, null, null, 100]);
|
||||
});
|
||||
|
||||
it('adds a 2 or 5 that clears the labels already kept', () => {
|
||||
// 20 is 30px from 10; 50 is 70px from 10 and 30px from 100.
|
||||
expect(label([10, 20, 50, 100], 25)).toStrictEqual([10, 20, 50, 100]);
|
||||
expect(label([10, 20, 50, 100], 40)).toStrictEqual([10, null, null, 100]);
|
||||
});
|
||||
|
||||
it('labels both ends of a range spanning under a decade', () => {
|
||||
// 100 sits at 200px; 20 (130px) and 500 (270px) clear it, 50 and 200 do not.
|
||||
expect(label([20, 50, 100, 200, 500], 60)).toStrictEqual([
|
||||
20,
|
||||
null,
|
||||
100,
|
||||
null,
|
||||
500,
|
||||
]);
|
||||
});
|
||||
});
|
||||
70
frontend/src/lib/uPlotV2/utils/__tests__/quadtree.test.ts
Normal file
70
frontend/src/lib/uPlotV2/utils/__tests__/quadtree.test.ts
Normal file
@@ -0,0 +1,70 @@
|
||||
import { Quadtree, QuadtreeRect } from '../quadtree';
|
||||
|
||||
interface Item extends QuadtreeRect {
|
||||
id: number;
|
||||
}
|
||||
|
||||
function collect(
|
||||
tree: Quadtree<Item>,
|
||||
x: number,
|
||||
y: number,
|
||||
w: number,
|
||||
h: number,
|
||||
): Set<number> {
|
||||
const ids = new Set<number>();
|
||||
tree.get(x, y, w, h, (item) => ids.add(item.id));
|
||||
return ids;
|
||||
}
|
||||
|
||||
describe('Quadtree', () => {
|
||||
it('returns items in the queried region and not those far from it', () => {
|
||||
const tree = new Quadtree<Item>(0, 0, 100, 100);
|
||||
tree.add({ id: 1, x: 10, y: 10, w: 5, h: 5 });
|
||||
tree.add({ id: 2, x: 80, y: 80, w: 5, h: 5 });
|
||||
|
||||
// Below the split threshold every item is visited; callers refine the hit.
|
||||
expect(collect(tree, 9, 9, 8, 8)).toStrictEqual(new Set([1, 2]));
|
||||
});
|
||||
|
||||
it('splits past the object limit and still finds every item', () => {
|
||||
const tree = new Quadtree<Item>(0, 0, 100, 100);
|
||||
const total = 50;
|
||||
for (let id = 0; id < total; id++) {
|
||||
tree.add({ id, x: (id % 10) * 10, y: Math.floor(id / 10) * 10, w: 4, h: 4 });
|
||||
}
|
||||
|
||||
expect(collect(tree, 0, 0, 100, 100).size).toBe(total);
|
||||
});
|
||||
|
||||
it('after a split, a query in one quadrant skips items confined to another', () => {
|
||||
const tree = new Quadtree<Item>(0, 0, 100, 100);
|
||||
for (let id = 0; id < 20; id++) {
|
||||
// All in the north-west quadrant.
|
||||
tree.add({ id, x: 1 + id, y: 1, w: 2, h: 2 });
|
||||
}
|
||||
tree.add({ id: 99, x: 90, y: 90, w: 2, h: 2 });
|
||||
|
||||
const northWest = collect(tree, 0, 0, 10, 10);
|
||||
expect(northWest.has(99)).toBe(false);
|
||||
expect(collect(tree, 85, 85, 10, 10).has(99)).toBe(true);
|
||||
});
|
||||
|
||||
it('reports an item straddling the midline from either side', () => {
|
||||
const tree = new Quadtree<Item>(0, 0, 100, 100);
|
||||
for (let id = 0; id < 20; id++) {
|
||||
tree.add({ id, x: 1, y: 1 + id, w: 2, h: 2 });
|
||||
}
|
||||
tree.add({ id: 99, x: 48, y: 48, w: 4, h: 4 });
|
||||
|
||||
expect(collect(tree, 40, 40, 5, 5).has(99)).toBe(true);
|
||||
expect(collect(tree, 55, 55, 5, 5).has(99)).toBe(true);
|
||||
});
|
||||
|
||||
it('clear empties the tree', () => {
|
||||
const tree = new Quadtree<Item>(0, 0, 100, 100);
|
||||
tree.add({ id: 1, x: 10, y: 10, w: 5, h: 5 });
|
||||
tree.clear();
|
||||
|
||||
expect(collect(tree, 0, 0, 100, 100).size).toBe(0);
|
||||
});
|
||||
});
|
||||
@@ -195,3 +195,40 @@ describe('scale utils', () => {
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('symmetric log scale', () => {
|
||||
it('maps to uPlot arcsinh with the given linear threshold', () => {
|
||||
expect(
|
||||
scaleUtils.getDistributionConfig({
|
||||
time: false,
|
||||
distr: DistributionType.SymmetricLog,
|
||||
asinhThreshold: 0.01,
|
||||
}),
|
||||
).toStrictEqual({ distr: 4, log: 10, asinh: 0.01 });
|
||||
|
||||
expect(
|
||||
scaleUtils.getDistributionConfig({
|
||||
time: false,
|
||||
distr: DistributionType.SymmetricLog,
|
||||
}).asinh,
|
||||
).toBe(scaleUtils.DEFAULT_ASINH_THRESHOLD);
|
||||
});
|
||||
|
||||
it('ranges a distr 4 scale through uPlot.rangeAsinh', () => {
|
||||
const rangeAsinh = jest.fn(() => [-10, 1000] as uPlot.Range.MinMax);
|
||||
Object.assign(uPlot, { rangeAsinh });
|
||||
|
||||
const rangeFn = scaleUtils.createRangeFunction({
|
||||
rangeConfig: {} as uPlot.Range.Config,
|
||||
hardMinOnly: false,
|
||||
hardMaxOnly: false,
|
||||
hasFixedRange: false,
|
||||
min: null,
|
||||
max: null,
|
||||
});
|
||||
const u = { scales: { y: { distr: 4, log: 10 } } } as unknown as uPlot;
|
||||
|
||||
expect(rangeFn(u, -3, 700, 'y')).toStrictEqual([-10, 1000]);
|
||||
expect(rangeAsinh).toHaveBeenCalledWith(-3, 700, 10, true);
|
||||
});
|
||||
});
|
||||
|
||||
69
frontend/src/lib/uPlotV2/utils/logGridSplits.ts
Normal file
69
frontend/src/lib/uPlotV2/utils/logGridSplits.ts
Normal file
@@ -0,0 +1,69 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
const DECADE_TOLERANCE = 1e-9;
|
||||
|
||||
function isDecade(value: number): boolean {
|
||||
if (value === 0) {
|
||||
return true;
|
||||
}
|
||||
const exponent = Math.log10(Math.abs(value));
|
||||
return Math.abs(exponent - Math.round(exponent)) < DECADE_TOLERANCE;
|
||||
}
|
||||
|
||||
const LOG_SPLIT_MULTIPLES = [1, 2, 5];
|
||||
|
||||
/**
|
||||
* Splits at 1, 2 and 5 × 10ⁿ inside the scale. uPlot's own log splits step
|
||||
* from the scale's minimum, so a range not snapped to a power of ten would
|
||||
* label 10.79, 21.58, … instead.
|
||||
*/
|
||||
export const logScaleSplits: uPlot.Axis.Splits = (_u, _axisIdx, min, max) => {
|
||||
if (!(min > 0) || !(max > min)) {
|
||||
return [];
|
||||
}
|
||||
const splits: number[] = [];
|
||||
for (
|
||||
let exponent = Math.floor(Math.log10(min));
|
||||
exponent <= Math.ceil(Math.log10(max));
|
||||
exponent++
|
||||
) {
|
||||
LOG_SPLIT_MULTIPLES.forEach((multiple) => {
|
||||
// Rounded through toPrecision so 0.1 × 3 noise can't fall outside [min, max].
|
||||
const split = Number((multiple * 10 ** exponent).toPrecision(12));
|
||||
if (split >= min && split <= max) {
|
||||
splits.push(split);
|
||||
}
|
||||
});
|
||||
}
|
||||
return splits;
|
||||
};
|
||||
|
||||
/**
|
||||
* Labels for `logScaleSplits`: every power of ten, then any 2 or 5 that sits
|
||||
* at least `space` px from the labels already kept, so a range spanning under
|
||||
* one decade still reads at both ends.
|
||||
*/
|
||||
export const spacedLogLabels: uPlot.Axis.Filter = (
|
||||
u,
|
||||
splits,
|
||||
axisIdx,
|
||||
space,
|
||||
) => {
|
||||
const scaleKey = u.axes[axisIdx]?.scale ?? 'x';
|
||||
const positions = splits.map((split) =>
|
||||
split == null ? null : u.valToPos(split, scaleKey),
|
||||
);
|
||||
const kept = splits.map((split) => split != null && isDecade(split));
|
||||
const isClear = (index: number): boolean =>
|
||||
kept.every(
|
||||
(isKept, other) =>
|
||||
!isKept ||
|
||||
Math.abs((positions[other] ?? 0) - (positions[index] ?? 0)) >= space,
|
||||
);
|
||||
splits.forEach((split, index) => {
|
||||
if (split != null && !kept[index] && isClear(index)) {
|
||||
kept[index] = true;
|
||||
}
|
||||
});
|
||||
return splits.map((split, index) => (kept[index] ? split : null));
|
||||
};
|
||||
110
frontend/src/lib/uPlotV2/utils/quadtree.ts
Normal file
110
frontend/src/lib/uPlotV2/utils/quadtree.ts
Normal file
@@ -0,0 +1,110 @@
|
||||
export interface QuadtreeRect {
|
||||
x: number;
|
||||
y: number;
|
||||
w: number;
|
||||
h: number;
|
||||
}
|
||||
|
||||
const MAX_OBJECTS = 10;
|
||||
const MAX_LEVELS = 4;
|
||||
|
||||
/**
|
||||
* Spatial index over axis-aligned rectangles, for answering "what is under the
|
||||
* cursor" on charts whose marks have no shared x order to binary-search. An item
|
||||
* straddling a quadrant boundary lives in every quadrant it touches, so `get` can
|
||||
* report it more than once.
|
||||
*/
|
||||
export class Quadtree<T extends QuadtreeRect = QuadtreeRect> {
|
||||
private items: T[] = [];
|
||||
private quadrants: Quadtree<T>[] | null = null;
|
||||
|
||||
constructor(
|
||||
private readonly x: number,
|
||||
private readonly y: number,
|
||||
private readonly w: number,
|
||||
private readonly h: number,
|
||||
private readonly level = 0,
|
||||
) {}
|
||||
|
||||
add(item: T): void {
|
||||
if (this.quadrants) {
|
||||
this.forEachQuadrant(item, (quadrant) => quadrant.add(item));
|
||||
return;
|
||||
}
|
||||
|
||||
this.items.push(item);
|
||||
|
||||
if (this.items.length > MAX_OBJECTS && this.level < MAX_LEVELS) {
|
||||
this.split();
|
||||
const items = this.items;
|
||||
this.items = [];
|
||||
for (const existing of items) {
|
||||
this.forEachQuadrant(existing, (quadrant) => quadrant.add(existing));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** Visits every item whose quadrant overlaps the rectangle; callers refine the test. */
|
||||
get(
|
||||
x: number,
|
||||
y: number,
|
||||
w: number,
|
||||
h: number,
|
||||
visit: (item: T) => void,
|
||||
): void {
|
||||
for (const item of this.items) {
|
||||
visit(item);
|
||||
}
|
||||
if (this.quadrants) {
|
||||
this.forEachQuadrant({ x, y, w, h }, (quadrant) =>
|
||||
quadrant.get(x, y, w, h, visit),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
clear(): void {
|
||||
this.items = [];
|
||||
this.quadrants = null;
|
||||
}
|
||||
|
||||
private split(): void {
|
||||
const w = this.w / 2;
|
||||
const h = this.h / 2;
|
||||
const level = this.level + 1;
|
||||
// North-east, north-west, south-west, south-east.
|
||||
this.quadrants = [
|
||||
new Quadtree<T>(this.x + w, this.y, w, h, level),
|
||||
new Quadtree<T>(this.x, this.y, w, h, level),
|
||||
new Quadtree<T>(this.x, this.y + h, w, h, level),
|
||||
new Quadtree<T>(this.x + w, this.y + h, w, h, level),
|
||||
];
|
||||
}
|
||||
|
||||
private forEachQuadrant(
|
||||
rect: QuadtreeRect,
|
||||
visit: (quadrant: Quadtree<T>) => void,
|
||||
): void {
|
||||
if (!this.quadrants) {
|
||||
return;
|
||||
}
|
||||
const midX = this.x + this.w / 2;
|
||||
const midY = this.y + this.h / 2;
|
||||
const startsNorth = rect.y < midY;
|
||||
const startsWest = rect.x < midX;
|
||||
const endsEast = rect.x + rect.w > midX;
|
||||
const endsSouth = rect.y + rect.h > midY;
|
||||
|
||||
if (startsNorth && endsEast) {
|
||||
visit(this.quadrants[0]);
|
||||
}
|
||||
if (startsWest && startsNorth) {
|
||||
visit(this.quadrants[1]);
|
||||
}
|
||||
if (startsWest && endsSouth) {
|
||||
visit(this.quadrants[2]);
|
||||
}
|
||||
if (endsEast && endsSouth) {
|
||||
visit(this.quadrants[3]);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -58,18 +58,23 @@ function normalizeLogLimit(
|
||||
return logBase ** exp;
|
||||
}
|
||||
|
||||
export const DEFAULT_ASINH_THRESHOLD = 1;
|
||||
|
||||
/**
|
||||
* Returns uPlot scale distribution options for the Y axis.
|
||||
* Time (X) scale gets no distr/log; Y scale gets distr 1 (linear) or 3 (log) and log base 2 or 10.
|
||||
* Returns uPlot scale distribution options for a value axis.
|
||||
* Time scales get no distr/log; value scales get distr 1 (linear), 3 (log) or
|
||||
* 4 (arcsinh, uPlot's symmetric log) and log base 2 or 10.
|
||||
*/
|
||||
export function getDistributionConfig({
|
||||
time,
|
||||
distr,
|
||||
logBase,
|
||||
asinhThreshold,
|
||||
}: {
|
||||
time: ScaleProps['time'];
|
||||
distr?: DistributionType;
|
||||
logBase?: number;
|
||||
asinhThreshold?: number;
|
||||
}): Partial<Scale> {
|
||||
if (time) {
|
||||
return {};
|
||||
@@ -77,6 +82,14 @@ export function getDistributionConfig({
|
||||
|
||||
const resolvedLogBase = (logBase ?? 10) === 2 ? 2 : 10;
|
||||
|
||||
if (distr === DistributionType.SymmetricLog) {
|
||||
return {
|
||||
distr: 4,
|
||||
log: resolvedLogBase,
|
||||
asinh: asinhThreshold ?? DEFAULT_ASINH_THRESHOLD,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
distr: distr === DistributionType.Logarithmic ? 3 : 1,
|
||||
log: resolvedLogBase,
|
||||
@@ -197,6 +210,33 @@ function getLogScaleRange(
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Computes the arcsinh-scale range using uPlot.rangeAsinh, which pads to whole
|
||||
* magnitudes on either side of zero and pins an edge that sits exactly on zero.
|
||||
*/
|
||||
function getAsinhScaleRange(
|
||||
minMax: Range.MinMax,
|
||||
params: RangeFunctionParams,
|
||||
dataMin: number | null,
|
||||
dataMax: number | null,
|
||||
logBase?: uPlot.Scale['log'],
|
||||
): Range.MinMax {
|
||||
const { min, max } = params;
|
||||
const resolvedMin = min ?? dataMin;
|
||||
const resolvedMax = max ?? dataMax;
|
||||
|
||||
if (resolvedMin == null || resolvedMax == null) {
|
||||
return minMax;
|
||||
}
|
||||
|
||||
return uPlot.rangeAsinh(
|
||||
resolvedMin,
|
||||
resolvedMax,
|
||||
(logBase ?? 10) as 2 | 10,
|
||||
true,
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Snaps log-scale [min, max] to exact powers of logBase (nearest magnitude below/above).
|
||||
* If min and max would be equal after snapping, max is increased by one magnitude so the range is valid.
|
||||
@@ -299,6 +339,8 @@ export function createRangeFunction(
|
||||
minMax = getLogScaleRange(minMax, params, dataMin, dataMax, logBase);
|
||||
const logFn = scale.log === 2 ? Math.log2 : Math.log10;
|
||||
minMax = adjustLogRange(minMax, (logBase ?? 10) as number, logFn);
|
||||
} else if (scale.distr === 4) {
|
||||
minMax = getAsinhScaleRange(minMax, params, dataMin, dataMax, logBase);
|
||||
}
|
||||
|
||||
minMax = applyHardLimits(minMax, params, scale.distr ?? 1);
|
||||
|
||||
@@ -37,6 +37,7 @@ export default function ChartWrapper({
|
||||
syncKey,
|
||||
syncFilterMode,
|
||||
onDestroy = noop,
|
||||
plotRef,
|
||||
children,
|
||||
layoutChildren,
|
||||
yAxisUnit,
|
||||
@@ -123,6 +124,7 @@ export default function ChartWrapper({
|
||||
height={chartHeight}
|
||||
plotRef={(plot): void => {
|
||||
plotInstanceRef.current = plot;
|
||||
plotRef?.(plot);
|
||||
}}
|
||||
onDestroy={(plot: uPlot): void => {
|
||||
plotInstanceRef.current = null;
|
||||
|
||||
@@ -0,0 +1,45 @@
|
||||
import { render } from 'tests/test-utils';
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
|
||||
import ChartWrapper from '../ChartWrapper';
|
||||
|
||||
const FAKE_PLOT = { id: 'plot' } as unknown as uPlot;
|
||||
|
||||
jest.mock('lib/uPlotV2/components/UPlotChart/UPlotChart', () => ({
|
||||
__esModule: true,
|
||||
default: ({ plotRef }: { plotRef?: (plot: uPlot | null) => void }): null => {
|
||||
plotRef?.(FAKE_PLOT);
|
||||
return null;
|
||||
},
|
||||
}));
|
||||
|
||||
window.ResizeObserver =
|
||||
window.ResizeObserver ||
|
||||
jest.fn().mockImplementation(() => ({
|
||||
disconnect: jest.fn(),
|
||||
observe: jest.fn(),
|
||||
unobserve: jest.fn(),
|
||||
}));
|
||||
|
||||
describe('ChartWrapper', () => {
|
||||
it('hands the plot instance to the caller', () => {
|
||||
const plotRef = jest.fn();
|
||||
render(
|
||||
<ChartWrapper
|
||||
config={new UPlotConfigBuilder({ id: 'chart' })}
|
||||
data={[[1], [2]]}
|
||||
width={400}
|
||||
height={300}
|
||||
legendConfig={{ position: LegendPosition.BOTTOM }}
|
||||
showLegend={false}
|
||||
showTooltip={false}
|
||||
plotRef={plotRef}
|
||||
/>,
|
||||
);
|
||||
|
||||
expect(plotRef).toHaveBeenCalledWith(FAKE_PLOT);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,256 @@
|
||||
import { useMemo, useState } from 'react';
|
||||
import type { Meta, StoryObj } from '@storybook/react-vite';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
import type { Threshold } from 'lib/uPlotV2/hooks/types';
|
||||
import type { ScatterPointLabel } from 'lib/uPlotV2/plugins/ScatterPlugin/types';
|
||||
|
||||
import Scatter from './Scatter';
|
||||
import {
|
||||
buildScatterConfig,
|
||||
prepareScatterChartData,
|
||||
ScatterAxisScale,
|
||||
ScatterSeries,
|
||||
} from './utils';
|
||||
|
||||
const SERVICES = [
|
||||
'frontend',
|
||||
'cart',
|
||||
'checkout',
|
||||
'payment',
|
||||
'shipping',
|
||||
'currency',
|
||||
'email',
|
||||
'recommendation',
|
||||
'ads',
|
||||
'product-catalog',
|
||||
];
|
||||
|
||||
type Shape = 'spread' | 'single' | 'sameX';
|
||||
|
||||
interface ScatterStoryProps {
|
||||
groups: number;
|
||||
pointsPerGroup: number;
|
||||
/** Adds an error-count size column. */
|
||||
sized: boolean;
|
||||
xScale: ScatterAxisScale;
|
||||
yScale: ScatterAxisScale;
|
||||
/** Zeroes a share of y values, which forces the symmetric log. */
|
||||
withZeros: boolean;
|
||||
shape: Shape;
|
||||
thresholds: boolean;
|
||||
pointSize: number;
|
||||
/** 0–1. */
|
||||
fillOpacity: number;
|
||||
width: number;
|
||||
height: number;
|
||||
}
|
||||
|
||||
/** Deterministic, so a story renders the same points on every run. */
|
||||
function createRng(seed: number): () => number {
|
||||
let state = seed >>> 0;
|
||||
return (): number => {
|
||||
state = (state * 1664525 + 1013904223) >>> 0;
|
||||
return state / 2 ** 32;
|
||||
};
|
||||
}
|
||||
|
||||
function buildSeries({
|
||||
groups,
|
||||
pointsPerGroup,
|
||||
sized,
|
||||
withZeros,
|
||||
shape,
|
||||
}: ScatterStoryProps): ScatterSeries[] {
|
||||
const rng = createRng(42);
|
||||
return Array.from({ length: groups }, (_, groupIndex) => {
|
||||
const label = SERVICES[groupIndex % SERVICES.length];
|
||||
// Each service sits in its own throughput/latency band, so groups are telling
|
||||
// apart rather than one cloud.
|
||||
const baseThroughput = 20 * 2 ** (groupIndex % 5);
|
||||
const baseLatency = 40 + 60 * (groupIndex % 4);
|
||||
|
||||
const count = shape === 'single' ? 1 : pointsPerGroup;
|
||||
const xs: number[] = [];
|
||||
const ys: number[] = [];
|
||||
const sizes: Array<number | null> = [];
|
||||
|
||||
for (let i = 0; i < count; i++) {
|
||||
const throughput =
|
||||
shape === 'sameX' ? baseThroughput : baseThroughput * (0.5 + rng() * 1.5);
|
||||
// Latency grows with load, plus noise; the odd outlier keeps the axis honest.
|
||||
const outlier = rng() < 0.03 ? 4 + rng() * 6 : 1;
|
||||
let latency =
|
||||
baseLatency *
|
||||
(0.8 + (throughput / baseThroughput) * 0.4 + rng() * 0.3) *
|
||||
outlier;
|
||||
if (withZeros && rng() < 0.2) {
|
||||
latency = 0;
|
||||
}
|
||||
xs.push(Number(throughput.toFixed(2)));
|
||||
ys.push(Number(latency.toFixed(2)));
|
||||
sizes.push(rng() < 0.1 ? null : Math.round(rng() * rng() * 500));
|
||||
}
|
||||
|
||||
return sized ? { label, xs, ys, sizes } : { label, xs, ys };
|
||||
});
|
||||
}
|
||||
|
||||
const THRESHOLDS: Threshold[] = [
|
||||
{
|
||||
thresholdValue: 300,
|
||||
thresholdUnit: 'ms',
|
||||
thresholdColor: '#E5484D',
|
||||
thresholdLabel: 'p99 SLO',
|
||||
},
|
||||
];
|
||||
|
||||
function ScatterStory(props: ScatterStoryProps): JSX.Element {
|
||||
const {
|
||||
xScale,
|
||||
yScale,
|
||||
sized,
|
||||
thresholds,
|
||||
pointSize,
|
||||
fillOpacity,
|
||||
width,
|
||||
height,
|
||||
} = props;
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const [drawMs, setDrawMs] = useState<number | null>(null);
|
||||
|
||||
const series = useMemo(() => buildSeries(props), [props]);
|
||||
const pointCount = series.reduce((sum, entry) => sum + entry.xs.length, 0);
|
||||
const drawLabel = drawMs === null ? '—' : `${drawMs.toFixed(1)} ms`;
|
||||
|
||||
const config = useMemo(() => {
|
||||
const builder = buildScatterConfig({
|
||||
id: 'scatter-story',
|
||||
series,
|
||||
isDarkMode,
|
||||
x: { unit: 'reqps', scale: xScale },
|
||||
y: { unit: 'ms', scale: yScale },
|
||||
pointSize: { fixed: pointSize, min: 4, max: pointSize * 4 },
|
||||
fillOpacity,
|
||||
thresholds: thresholds ? THRESHOLDS : undefined,
|
||||
});
|
||||
let started = 0;
|
||||
builder.addHook('drawClear', (): void => {
|
||||
started = performance.now();
|
||||
});
|
||||
builder.addHook('draw', (): void => {
|
||||
setDrawMs(performance.now() - started);
|
||||
});
|
||||
return builder;
|
||||
}, [series, isDarkMode, xScale, yScale, pointSize, fillOpacity, thresholds]);
|
||||
|
||||
const data = useMemo(() => prepareScatterChartData(series), [series]);
|
||||
|
||||
const resolvePointLabels = (
|
||||
seriesIndex: number,
|
||||
dataIndex: number,
|
||||
): ScatterPointLabel[] => [
|
||||
{ key: 'service.name', value: series[seriesIndex - 1]?.label ?? '' },
|
||||
{
|
||||
key: 'k8s.pod.name',
|
||||
value: `pod-${dataIndex.toString().padStart(3, '0')}`,
|
||||
},
|
||||
];
|
||||
|
||||
return (
|
||||
<div style={{ width, padding: 16 }}>
|
||||
<Scatter
|
||||
config={config}
|
||||
data={data}
|
||||
width={width}
|
||||
height={height}
|
||||
legendConfig={{ position: LegendPosition.BOTTOM }}
|
||||
channels={{
|
||||
x: { label: 'Throughput', unit: 'reqps' },
|
||||
y: { label: 'p99 latency', unit: 'ms' },
|
||||
...(sized && { size: { label: 'Errors', unit: 'short' } }),
|
||||
}}
|
||||
resolvePointLabels={resolvePointLabels}
|
||||
canPinTooltip
|
||||
/>
|
||||
<p style={{ fontFamily: 'var(--font-mono)', fontSize: 12, opacity: 0.7 }}>
|
||||
{`${pointCount.toLocaleString()} points · last draw ${drawLabel}`}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
const meta = {
|
||||
title: 'Charts/Scatter',
|
||||
component: ScatterStory,
|
||||
parameters: { layout: 'padded' },
|
||||
args: {
|
||||
groups: 1,
|
||||
pointsPerGroup: 10,
|
||||
sized: false,
|
||||
xScale: ScatterAxisScale.Linear,
|
||||
yScale: ScatterAxisScale.Linear,
|
||||
withZeros: false,
|
||||
shape: 'spread',
|
||||
thresholds: false,
|
||||
pointSize: 6,
|
||||
fillOpacity: 0.7,
|
||||
width: 800,
|
||||
height: 420,
|
||||
},
|
||||
argTypes: {
|
||||
shape: { control: 'radio', options: ['spread', 'single', 'sameX'] },
|
||||
xScale: { control: 'radio', options: Object.values(ScatterAxisScale) },
|
||||
yScale: { control: 'radio', options: Object.values(ScatterAxisScale) },
|
||||
fillOpacity: { control: { type: 'range', min: 0, max: 1, step: 0.05 } },
|
||||
pointSize: { control: { type: 'range', min: 2, max: 16, step: 1 } },
|
||||
},
|
||||
} satisfies Meta<ScatterStoryProps>;
|
||||
|
||||
export default meta;
|
||||
|
||||
type Story = StoryObj<ScatterStoryProps>;
|
||||
|
||||
/** One service, ten points: axes formatted with units, hover picks the right point. */
|
||||
export const Basic: Story = {};
|
||||
|
||||
/** Five services, one legend entry each; toggling a row hides its points. */
|
||||
export const Grouped: Story = {
|
||||
args: { groups: 5, pointsPerGroup: 40 },
|
||||
};
|
||||
|
||||
/** Error count as disc area, between the configured min and max diameters. */
|
||||
export const Sized: Story = {
|
||||
args: { groups: 5, pointsPerGroup: 40, sized: true, pointSize: 5 },
|
||||
};
|
||||
|
||||
/** Log x; a fifth of the latencies are 0, so y falls back to the symmetric log. */
|
||||
export const LogAxes: Story = {
|
||||
args: {
|
||||
groups: 5,
|
||||
pointsPerGroup: 60,
|
||||
xScale: ScatterAxisScale.Log,
|
||||
yScale: ScatterAxisScale.Log,
|
||||
withZeros: true,
|
||||
},
|
||||
};
|
||||
|
||||
/** A single point still gets a padded range rather than an empty plot. */
|
||||
export const SinglePoint: Story = {
|
||||
args: { shape: 'single' },
|
||||
};
|
||||
|
||||
/** Fifty points sharing one x collide on nothing: no shared x array to align. */
|
||||
export const SameX: Story = {
|
||||
args: { groups: 3, pointsPerGroup: 50, shape: 'sameX' },
|
||||
};
|
||||
|
||||
/** Horizontal line with label on the y axis; the scale stretches to include it. */
|
||||
export const Thresholds: Story = {
|
||||
args: { groups: 3, pointsPerGroup: 40, thresholds: true },
|
||||
};
|
||||
|
||||
/** Perf harness: raise `pointsPerGroup` and read the draw time under the chart. */
|
||||
export const Dense: Story = {
|
||||
args: { groups: 5, pointsPerGroup: 1000, pointSize: 4, fillOpacity: 0.5 },
|
||||
};
|
||||
102
frontend/src/lib/visualization/charts/Scatter/Scatter.tsx
Normal file
102
frontend/src/lib/visualization/charts/Scatter/Scatter.tsx
Normal file
@@ -0,0 +1,102 @@
|
||||
import { useCallback, useRef } from 'react';
|
||||
import ChartWrapper from 'lib/visualization/charts/ChartWrapper/ChartWrapper';
|
||||
import ScatterTooltip from 'lib/uPlotV2/components/Tooltip/ScatterTooltip';
|
||||
import {
|
||||
ScatterTooltipProps,
|
||||
TooltipRenderArgs,
|
||||
} from 'lib/uPlotV2/components/types';
|
||||
import type { ChartClickData } from 'lib/uPlotV2/plugins/TooltipPlugin/types';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { ScatterChartProps } from 'lib/visualization/charts/types';
|
||||
|
||||
import { getSeriesStroke } from 'lib/uPlotV2/plugins/ScatterPlugin/scatterPlugin';
|
||||
|
||||
import { getCursorHit } from './utils';
|
||||
|
||||
// Faceted uPlot reads series 1's facets at init, so a chart with no series cannot
|
||||
// mount; empty aligned data makes the shell show its no-data state instead.
|
||||
const EMPTY_ALIGNED_DATA: uPlot.AlignedData = [[]];
|
||||
|
||||
export default function Scatter(props: ScatterChartProps): JSX.Element {
|
||||
const {
|
||||
children,
|
||||
customTooltip,
|
||||
channels,
|
||||
resolvePointLabels,
|
||||
pinnedTooltipElement,
|
||||
onPointClick,
|
||||
plotRef,
|
||||
...rest
|
||||
} = props;
|
||||
|
||||
const plotInstanceRef = useRef<uPlot | null>(null);
|
||||
|
||||
const handlePlotRef = useCallback(
|
||||
(plot: uPlot | null): void => {
|
||||
plotInstanceRef.current = plot;
|
||||
plotRef?.(plot);
|
||||
},
|
||||
[plotRef],
|
||||
);
|
||||
|
||||
// The shared click data finds its series by x position, which a faceted plot
|
||||
// has no single axis for; the hit comes from the cursor instead.
|
||||
const handleClick = useCallback(
|
||||
(click: ChartClickData): void => {
|
||||
const plot = plotInstanceRef.current;
|
||||
const hit = plot ? getCursorHit(plot) : null;
|
||||
if (!plot || !hit || !onPointClick) {
|
||||
return;
|
||||
}
|
||||
onPointClick({
|
||||
...hit,
|
||||
color: getSeriesStroke(plot, hit.seriesIndex),
|
||||
coordinates: { x: click.absoluteMouseX, y: click.absoluteMouseY },
|
||||
});
|
||||
},
|
||||
[onPointClick],
|
||||
);
|
||||
|
||||
const renderTooltip = useCallback(
|
||||
(args: TooltipRenderArgs): React.ReactNode => {
|
||||
if (customTooltip) {
|
||||
return customTooltip(args);
|
||||
}
|
||||
const tooltipProps: ScatterTooltipProps = {
|
||||
...args,
|
||||
id: rest.config.getId(),
|
||||
channels,
|
||||
resolvePointLabels,
|
||||
decimalPrecision: rest.decimalPrecision,
|
||||
canPinTooltip: rest.canPinTooltip,
|
||||
renderTooltipFooter: rest.renderTooltipFooter,
|
||||
};
|
||||
return <ScatterTooltip {...tooltipProps} />;
|
||||
},
|
||||
[
|
||||
customTooltip,
|
||||
channels,
|
||||
resolvePointLabels,
|
||||
rest.config,
|
||||
rest.decimalPrecision,
|
||||
rest.canPinTooltip,
|
||||
rest.renderTooltipFooter,
|
||||
],
|
||||
);
|
||||
|
||||
const hasSeries = rest.data.length > 1;
|
||||
|
||||
return (
|
||||
<ChartWrapper
|
||||
{...rest}
|
||||
data={hasSeries ? rest.data : EMPTY_ALIGNED_DATA}
|
||||
plotRef={handlePlotRef}
|
||||
onClick={onPointClick ? handleClick : rest.onClick}
|
||||
customTooltip={renderTooltip}
|
||||
pinnedTooltipElement={pinnedTooltipElement}
|
||||
>
|
||||
{children}
|
||||
</ChartWrapper>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,97 @@
|
||||
import { DistributionType } from 'lib/uPlotV2/config/types';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { createScatterRange, type ScatterRangeOptions } from '../scatterRange';
|
||||
|
||||
/** A 220px-tall, 420px-wide plot at a device pixel ratio of 1. */
|
||||
const plot = { bbox: { width: 420, height: 220 } } as unknown as uPlot;
|
||||
|
||||
function rangeOf(
|
||||
options: Partial<ScatterRangeOptions>,
|
||||
dataMin: number | null,
|
||||
dataMax: number | null,
|
||||
): [number, number] {
|
||||
const range = createScatterRange({
|
||||
dimension: 'y',
|
||||
marginPx: 10,
|
||||
distribution: DistributionType.Linear,
|
||||
...options,
|
||||
}) as (u: uPlot, min: number | null, max: number | null) => [number, number];
|
||||
return range(plot, dataMin, dataMax);
|
||||
}
|
||||
|
||||
describe('createScatterRange', () => {
|
||||
beforeAll(() => {
|
||||
Object.defineProperty(uPlot, 'pxRatio', { value: 1, configurable: true });
|
||||
});
|
||||
|
||||
it('widens a linear range so the data sits marginPx inside each edge', () => {
|
||||
// 200px of data inside 220px: 10px at each end is 1/20 of the span.
|
||||
expect(rangeOf({}, 0, 100)).toStrictEqual([-5, 105]);
|
||||
});
|
||||
|
||||
it('measures the margin along its own axis', () => {
|
||||
// 400px of data inside 420px.
|
||||
expect(rangeOf({ dimension: 'x' }, 0, 100)).toStrictEqual([-2.5, 102.5]);
|
||||
});
|
||||
|
||||
it('pads a log range in decades, without snapping to the next power of ten', () => {
|
||||
const [min, max] = rangeOf(
|
||||
{ distribution: DistributionType.Logarithmic },
|
||||
1,
|
||||
10,
|
||||
);
|
||||
expect(Math.log10(min)).toBeCloseTo(-0.05);
|
||||
expect(Math.log10(max)).toBeCloseTo(1.05);
|
||||
});
|
||||
|
||||
it('pads a symmetric log range in its asinh space', () => {
|
||||
const [min, max] = rangeOf(
|
||||
{ distribution: DistributionType.SymmetricLog, asinhThreshold: 2 },
|
||||
0,
|
||||
20,
|
||||
);
|
||||
const span = Math.asinh(10);
|
||||
expect(Math.asinh(min / 2)).toBeCloseTo(-span / 20);
|
||||
expect(Math.asinh(max / 2)).toBeCloseTo(span + span / 20);
|
||||
});
|
||||
|
||||
it('stretches to the soft limits before padding', () => {
|
||||
expect(rangeOf({ softMin: 0, softMax: 200 }, 50, 100)).toStrictEqual([
|
||||
-10, 210,
|
||||
]);
|
||||
});
|
||||
|
||||
it('ignores a soft min at or below zero on a log scale', () => {
|
||||
const [min] = rangeOf(
|
||||
{ distribution: DistributionType.Logarithmic, softMin: 0 },
|
||||
10,
|
||||
100,
|
||||
);
|
||||
expect(min).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it('spreads a single value around itself', () => {
|
||||
const [min, max] = rangeOf({}, 5, 5);
|
||||
expect(min).toBeLessThan(5);
|
||||
expect(max).toBeGreaterThan(5);
|
||||
expect(5 - min).toBeCloseTo(max - 5);
|
||||
});
|
||||
|
||||
it('falls back to a unit range with no data', () => {
|
||||
expect(rangeOf({}, null, null)).toStrictEqual([0, 1]);
|
||||
expect(
|
||||
rangeOf({ distribution: DistributionType.Logarithmic }, null, null),
|
||||
).toStrictEqual([1, 10]);
|
||||
});
|
||||
|
||||
it('skips the margin on a plot too small to hold it', () => {
|
||||
const tiny = { bbox: { width: 15, height: 15 } } as unknown as uPlot;
|
||||
const range = createScatterRange({
|
||||
dimension: 'y',
|
||||
marginPx: 10,
|
||||
distribution: DistributionType.Linear,
|
||||
}) as (u: uPlot, min: number, max: number) => [number, number];
|
||||
expect(range(tiny, 0, 100)).toStrictEqual([0, 100]);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,217 @@
|
||||
import type uPlot from 'uplot';
|
||||
import { DistributionType } from 'lib/uPlotV2/config/types';
|
||||
|
||||
import {
|
||||
buildScatterConfig,
|
||||
getCursorHit,
|
||||
prepareScatterChartData,
|
||||
resolveAxisDistribution,
|
||||
ScatterAxisScale,
|
||||
ScatterSeries,
|
||||
} from '../utils';
|
||||
|
||||
jest.mock('lib/visualization/panels/utils/legendVisibilityUtils', () => ({
|
||||
getStoredSeriesVisibility: jest.fn(),
|
||||
}));
|
||||
|
||||
const SERIES: ScatterSeries[] = [
|
||||
{ label: 'cart', xs: [10, 20], ys: [100, 200], sizes: [1, null] },
|
||||
{ label: 'checkout', xs: [30], ys: [0] },
|
||||
];
|
||||
|
||||
describe('prepareScatterChartData', () => {
|
||||
it('lays series out as facets behind an empty x slot', () => {
|
||||
expect(prepareScatterChartData(SERIES)).toStrictEqual([
|
||||
null,
|
||||
[
|
||||
[10, 20],
|
||||
[100, 200],
|
||||
[1, null],
|
||||
],
|
||||
[[30], [0]],
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getCursorHit', () => {
|
||||
const plotWith = (idxs: Array<number | null>): uPlot =>
|
||||
({ cursor: { idxs } }) as unknown as uPlot;
|
||||
|
||||
it('reads the series the scatter plugin answered for', () => {
|
||||
expect(getCursorHit(plotWith([null, null, 4, null]))).toStrictEqual({
|
||||
seriesIndex: 2,
|
||||
dataIndex: 4,
|
||||
});
|
||||
});
|
||||
|
||||
it('takes a data index of 0 as a hit', () => {
|
||||
expect(getCursorHit(plotWith([0, 0]))).toStrictEqual({
|
||||
seriesIndex: 1,
|
||||
dataIndex: 0,
|
||||
});
|
||||
});
|
||||
|
||||
it('is null off every dot', () => {
|
||||
expect(getCursorHit(plotWith([null, null]))).toBeNull();
|
||||
expect(getCursorHit({ cursor: {} } as unknown as uPlot)).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolveAxisDistribution', () => {
|
||||
it('is linear when asked, whatever the values', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([1, 1e6], ScatterAxisScale.Linear),
|
||||
).toStrictEqual({ distribution: DistributionType.Linear });
|
||||
});
|
||||
|
||||
it('is a plain log when every value is positive', () => {
|
||||
expect(resolveAxisDistribution([1, 100], ScatterAxisScale.Log)).toStrictEqual(
|
||||
{ distribution: DistributionType.Logarithmic },
|
||||
);
|
||||
});
|
||||
|
||||
it('falls back from log to a symmetric log around the smallest magnitude when zero is present', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([0, 0.05, 300], ScatterAxisScale.Log),
|
||||
).toStrictEqual({
|
||||
distribution: DistributionType.SymmetricLog,
|
||||
asinhThreshold: 0.01,
|
||||
});
|
||||
});
|
||||
|
||||
it('keeps an explicit log axis for a soft min it cannot place', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([1, 100], ScatterAxisScale.Log, [-10]),
|
||||
).toStrictEqual({ distribution: DistributionType.Logarithmic });
|
||||
});
|
||||
|
||||
it('is a symmetric log when asked, even with only positive values', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([2, 300], ScatterAxisScale.SymLog),
|
||||
).toStrictEqual({
|
||||
distribution: DistributionType.SymmetricLog,
|
||||
asinhThreshold: 1,
|
||||
});
|
||||
});
|
||||
|
||||
it('uses a unit threshold when nothing is positive', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([0, -5], ScatterAxisScale.SymLog),
|
||||
).toStrictEqual({
|
||||
distribution: DistributionType.SymmetricLog,
|
||||
asinhThreshold: 1,
|
||||
});
|
||||
});
|
||||
|
||||
describe('auto', () => {
|
||||
it.each([
|
||||
[
|
||||
'positive values spanning three decades',
|
||||
[1, 1000],
|
||||
DistributionType.Logarithmic,
|
||||
],
|
||||
['positive values spanning less', [1, 999], DistributionType.Linear],
|
||||
['a wide span that includes zero', [0, 1, 1e6], DistributionType.Linear],
|
||||
['no finite values', [Number.NaN], DistributionType.Linear],
|
||||
])('picks a scale for %s', (_, values, distribution) => {
|
||||
expect(resolveAxisDistribution(values, ScatterAxisScale.Auto)).toStrictEqual(
|
||||
{ distribution },
|
||||
);
|
||||
});
|
||||
|
||||
it('stays linear when a soft limit reaches zero or below', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([0.02, 5000], ScatterAxisScale.Auto, [-10]),
|
||||
).toStrictEqual({ distribution: DistributionType.Linear });
|
||||
});
|
||||
|
||||
it('counts a soft limit towards the decades it spans', () => {
|
||||
expect(
|
||||
resolveAxisDistribution([5, 50], ScatterAxisScale.Auto, [null, 5000]),
|
||||
).toStrictEqual({ distribution: DistributionType.Logarithmic });
|
||||
});
|
||||
|
||||
it('is the default', () => {
|
||||
expect(resolveAxisDistribution([1, 1e4])).toStrictEqual({
|
||||
distribution: DistributionType.Logarithmic,
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('buildScatterConfig', () => {
|
||||
const build = (
|
||||
overrides: Partial<Parameters<typeof buildScatterConfig>[0]> = {},
|
||||
): ReturnType<typeof buildScatterConfig> =>
|
||||
buildScatterConfig({
|
||||
id: 'scatter',
|
||||
series: SERIES,
|
||||
isDarkMode: true,
|
||||
x: { unit: 'reqps' },
|
||||
y: { unit: 'ms', scale: ScatterAxisScale.Log },
|
||||
...overrides,
|
||||
});
|
||||
|
||||
it('draws a line along both plot edges', () => {
|
||||
const [xAxis, yAxis] = build().getConfig().axes ?? [];
|
||||
|
||||
expect(xAxis?.border?.show).toBe(true);
|
||||
expect(yAxis?.border?.show).toBe(true);
|
||||
});
|
||||
|
||||
it('titles each axis with its label, and leaves an unlabelled one bare', () => {
|
||||
const config = build({
|
||||
x: { unit: 'reqps', label: 'Throughput' },
|
||||
y: { unit: 'ms', label: '' },
|
||||
}).getConfig();
|
||||
const [xAxis, yAxis] = config.axes ?? [];
|
||||
|
||||
expect(xAxis?.label).toBe('Throughput');
|
||||
expect(yAxis?.label).toBeUndefined();
|
||||
});
|
||||
|
||||
it('emits a faceted plot with two value scales', () => {
|
||||
const config = build().getConfig();
|
||||
|
||||
expect(config.mode).toBe(2);
|
||||
expect(config.scales?.x).toMatchObject({ time: false, distr: 1 });
|
||||
// The y column has a 0, so log becomes the symmetric variant.
|
||||
expect(config.scales?.y).toMatchObject({ time: false, distr: 4 });
|
||||
});
|
||||
|
||||
it('draws one faceted series per group with the plugin path builder', () => {
|
||||
const config = build().getConfig();
|
||||
const [, cart, checkout] = config.series ?? [];
|
||||
|
||||
expect(config.series).toHaveLength(3);
|
||||
expect(cart).toMatchObject({
|
||||
label: 'cart',
|
||||
facets: [
|
||||
{ scale: 'x', auto: true },
|
||||
{ scale: 'y', auto: true },
|
||||
],
|
||||
});
|
||||
expect(typeof cart?.paths).toBe('function');
|
||||
expect(cart?.paths).toBe(checkout?.paths);
|
||||
expect(cart?.points?.show).toBe(false);
|
||||
});
|
||||
|
||||
it('formats both axes with their units', () => {
|
||||
const config = build().getConfig();
|
||||
const [xAxis, yAxis] = config.axes ?? [];
|
||||
|
||||
expect(xAxis).toMatchObject({ scale: 'x', side: 2, space: 90 });
|
||||
expect(yAxis).toMatchObject({ scale: 'y', side: 3 });
|
||||
expect(typeof xAxis?.values).toBe('function');
|
||||
expect(typeof yAxis?.values).toBe('function');
|
||||
});
|
||||
|
||||
it('registers a y threshold draw hook when thresholds are given', () => {
|
||||
const config = build({
|
||||
thresholds: [{ thresholdValue: 300, thresholdUnit: 'ms' }],
|
||||
}).getConfig();
|
||||
|
||||
expect(config.hooks?.draw).toHaveLength(1);
|
||||
expect(build().getConfig().hooks?.draw).toBeUndefined();
|
||||
});
|
||||
});
|
||||
108
frontend/src/lib/visualization/charts/Scatter/scatterRange.ts
Normal file
108
frontend/src/lib/visualization/charts/Scatter/scatterRange.ts
Normal file
@@ -0,0 +1,108 @@
|
||||
import { DistributionType } from 'lib/uPlotV2/config/types';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import type { AxisDistribution } from './utils';
|
||||
|
||||
interface ScaleTransform {
|
||||
forward: (value: number) => number;
|
||||
inverse: (position: number) => number;
|
||||
}
|
||||
|
||||
/** The space uPlot lays the scale out in, so a pixel margin is the same size along it. */
|
||||
function getScaleTransform({
|
||||
distribution,
|
||||
asinhThreshold = 1,
|
||||
}: AxisDistribution): ScaleTransform {
|
||||
switch (distribution) {
|
||||
case DistributionType.Logarithmic:
|
||||
return {
|
||||
forward: (value): number => Math.log10(value),
|
||||
inverse: (position): number => 10 ** position,
|
||||
};
|
||||
case DistributionType.SymmetricLog:
|
||||
return {
|
||||
forward: (value): number => Math.asinh(value / asinhThreshold),
|
||||
inverse: (position): number => Math.sinh(position) * asinhThreshold,
|
||||
};
|
||||
default:
|
||||
return {
|
||||
forward: (value): number => value,
|
||||
inverse: (position): number => position,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/** Half the span a single value spreads to, in transformed units. */
|
||||
const SINGLE_VALUE_HALF_SPAN = 0.5;
|
||||
|
||||
/** The data's extent stretched to the soft limits; null with neither. */
|
||||
function resolveExtent(
|
||||
dataMin: number | null,
|
||||
dataMax: number | null,
|
||||
softMin: number | null | undefined,
|
||||
softMax: number | null | undefined,
|
||||
): [number, number] | null {
|
||||
const lows = [dataMin, softMin].filter(
|
||||
(value): value is number => value != null && Number.isFinite(value),
|
||||
);
|
||||
const highs = [dataMax, softMax].filter(
|
||||
(value): value is number => value != null && Number.isFinite(value),
|
||||
);
|
||||
return lows.length > 0 && highs.length > 0
|
||||
? [Math.min(...lows), Math.max(...highs)]
|
||||
: null;
|
||||
}
|
||||
|
||||
export interface ScatterRangeOptions extends AxisDistribution {
|
||||
/** The axis this scale is laid out along. */
|
||||
dimension: 'x' | 'y';
|
||||
/** CSS pixels kept clear at each end so the largest dot draws whole. */
|
||||
marginPx: number;
|
||||
softMin?: number | null;
|
||||
softMax?: number | null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Fits the scale to the data and then widens it by `marginPx` at each end.
|
||||
* uPlot clips series to the plot area, so a dot at the extreme value would
|
||||
* otherwise lose the half that hangs past the edge. Log scales are left
|
||||
* unsnapped: rounding out to the next power of ten after the margin can add a
|
||||
* whole empty decade.
|
||||
*/
|
||||
export function createScatterRange({
|
||||
dimension,
|
||||
marginPx,
|
||||
softMin,
|
||||
softMax,
|
||||
...distribution
|
||||
}: ScatterRangeOptions): uPlot.Scale.Range {
|
||||
const transform = getScaleTransform(distribution);
|
||||
const isLog = distribution.distribution === DistributionType.Logarithmic;
|
||||
|
||||
// A log scale cannot place a soft limit at or below zero.
|
||||
const usableSoftMin = isLog && (softMin ?? 0) <= 0 ? null : softMin;
|
||||
|
||||
return (u, dataMin, dataMax): uPlot.Range.MinMax => {
|
||||
const extent = resolveExtent(dataMin, dataMax, usableSoftMin, softMax);
|
||||
if (!extent) {
|
||||
return isLog ? [1, 10] : [0, 1];
|
||||
}
|
||||
|
||||
let start = transform.forward(extent[0]);
|
||||
let end = transform.forward(extent[1]);
|
||||
if (start === end) {
|
||||
start -= SINGLE_VALUE_HALF_SPAN;
|
||||
end += SINGLE_VALUE_HALF_SPAN;
|
||||
}
|
||||
|
||||
const plotPx =
|
||||
(dimension === 'x' ? u.bbox.width : u.bbox.height) / uPlot.pxRatio;
|
||||
if (plotPx > 2 * marginPx) {
|
||||
const pad = ((end - start) * marginPx) / (plotPx - 2 * marginPx);
|
||||
start -= pad;
|
||||
end += pad;
|
||||
}
|
||||
|
||||
return [transform.inverse(start), transform.inverse(end)];
|
||||
};
|
||||
}
|
||||
328
frontend/src/lib/visualization/charts/Scatter/utils.ts
Normal file
328
frontend/src/lib/visualization/charts/Scatter/utils.ts
Normal file
@@ -0,0 +1,328 @@
|
||||
import { PrecisionOption } from 'components/Graph/types';
|
||||
import {
|
||||
type AxisProps,
|
||||
DistributionType,
|
||||
DrawStyle,
|
||||
SelectionPreferencesSource,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import { Threshold } from 'lib/uPlotV2/hooks/types';
|
||||
import {
|
||||
applyScatterPlugin,
|
||||
createScatterPlugin,
|
||||
SCATTER_FACETS,
|
||||
} from 'lib/uPlotV2/plugins/ScatterPlugin/scatterPlugin';
|
||||
import {
|
||||
DEFAULT_SCATTER_POINT_SIZE,
|
||||
ScatterChartData,
|
||||
ScatterPointSize,
|
||||
ScatterSeriesData,
|
||||
} from 'lib/uPlotV2/plugins/ScatterPlugin/types';
|
||||
import {
|
||||
logScaleSplits,
|
||||
spacedLogLabels,
|
||||
} from 'lib/uPlotV2/utils/logGridSplits';
|
||||
import { adjustSoftLimitsWithThresholds } from 'lib/uPlotV2/utils/scale';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { createScatterRange } from './scatterRange';
|
||||
|
||||
/** Circle outline; the fill carries the colour. */
|
||||
const POINT_STROKE_WIDTH = 1;
|
||||
|
||||
/** Unit-suffixed x labels are wider than uPlot's 50px default assumes. */
|
||||
const X_AXIS_TICK_SPACE_PX = 90;
|
||||
const X_AXIS_END_LABEL_PADDING_PX = 40;
|
||||
|
||||
export interface ScatterSeries {
|
||||
/** Group label, as the legend names it. */
|
||||
label: string;
|
||||
xs: number[];
|
||||
ys: number[];
|
||||
/** Optional third channel, in the caller's units. */
|
||||
sizes?: Array<number | null>;
|
||||
}
|
||||
|
||||
export enum ScatterAxisScale {
|
||||
/** Log when the values are positive and span several decades, else linear. */
|
||||
Auto = 'auto',
|
||||
Linear = 'linear',
|
||||
Log = 'log',
|
||||
/** Log-like, but places zero and negatives. */
|
||||
SymLog = 'symlog',
|
||||
}
|
||||
|
||||
/** Decades of positive values `auto` needs before it picks a log axis. */
|
||||
export const AUTO_LOG_MIN_DECADES = 3;
|
||||
|
||||
export interface ScatterAxisOptions {
|
||||
/** Axis title. */
|
||||
label?: string;
|
||||
unit?: string;
|
||||
softMin?: number | null;
|
||||
softMax?: number | null;
|
||||
scale?: ScatterAxisScale;
|
||||
}
|
||||
|
||||
export interface BuildScatterConfigArgs {
|
||||
id: string;
|
||||
series: ScatterSeries[];
|
||||
isDarkMode: boolean;
|
||||
x: ScatterAxisOptions;
|
||||
y: ScatterAxisOptions;
|
||||
pointSize?: ScatterPointSize;
|
||||
/** 0–1. */
|
||||
fillOpacity?: number;
|
||||
colorMapping?: Record<string, string>;
|
||||
/** Drawn on the y axis. */
|
||||
thresholds?: Threshold[];
|
||||
decimalPrecision?: PrecisionOption;
|
||||
selectionPreferencesSource?: SelectionPreferencesSource;
|
||||
shouldSaveSelectionPreference?: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* The dot under the cursor, read off uPlot's cursor: the scatter plugin's
|
||||
* `dataIdx` answers only for the hit series, so its index is the one set.
|
||||
*/
|
||||
export function getCursorHit(
|
||||
plot: uPlot,
|
||||
): { seriesIndex: number; dataIndex: number } | null {
|
||||
const idxs = plot.cursor.idxs ?? [];
|
||||
for (let seriesIndex = 1; seriesIndex < idxs.length; seriesIndex++) {
|
||||
const dataIndex = idxs[seriesIndex];
|
||||
if (dataIndex != null) {
|
||||
return { seriesIndex, dataIndex };
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
/** `[null, [xs, ys, sizes?], …]`: uPlot's faceted layout, series 0 empty. */
|
||||
export function prepareScatterChartData(
|
||||
series: ScatterSeries[],
|
||||
): uPlot.AlignedData {
|
||||
const data: ScatterChartData = [
|
||||
null,
|
||||
...series.map(
|
||||
(entry): ScatterSeriesData =>
|
||||
entry.sizes ? [entry.xs, entry.ys, entry.sizes] : [entry.xs, entry.ys],
|
||||
),
|
||||
];
|
||||
return data as unknown as uPlot.AlignedData;
|
||||
}
|
||||
|
||||
export interface AxisDistribution {
|
||||
distribution: DistributionType;
|
||||
asinhThreshold?: number;
|
||||
}
|
||||
|
||||
function getPositiveRange(values: number[]): {
|
||||
minPositive: number;
|
||||
maxPositive: number;
|
||||
hasNonPositive: boolean;
|
||||
} {
|
||||
let minPositive = Infinity;
|
||||
let maxPositive = -Infinity;
|
||||
let hasNonPositive = false;
|
||||
for (const value of values) {
|
||||
if (!Number.isFinite(value)) {
|
||||
continue;
|
||||
}
|
||||
if (value <= 0) {
|
||||
hasNonPositive = true;
|
||||
} else {
|
||||
minPositive = Math.min(minPositive, value);
|
||||
maxPositive = Math.max(maxPositive, value);
|
||||
}
|
||||
}
|
||||
return { minPositive, maxPositive, hasNonPositive };
|
||||
}
|
||||
|
||||
/**
|
||||
* The symmetric log's linear band ends at the smallest non-zero magnitude, so
|
||||
* the small values still spread out.
|
||||
*/
|
||||
function symmetricLogDistribution(minPositive: number): AxisDistribution {
|
||||
const asinhThreshold = Number.isFinite(minPositive)
|
||||
? 10 ** Math.floor(Math.log10(minPositive))
|
||||
: 1;
|
||||
return { distribution: DistributionType.SymmetricLog, asinhThreshold };
|
||||
}
|
||||
|
||||
/**
|
||||
* A plain log axis cannot place zero or negatives, so `log` falls back to the
|
||||
* symmetric log rather than lose those points; callers that would rather drop
|
||||
* them filter first.
|
||||
*/
|
||||
export function resolveAxisDistribution(
|
||||
values: number[],
|
||||
scale: ScatterAxisScale = ScatterAxisScale.Auto,
|
||||
/**
|
||||
* Soft limits (and thresholds) the axis must reach. Only `auto` weighs them:
|
||||
* a soft min at or below zero rules out log. An explicit scale keeps its
|
||||
* choice, and a log axis drops a bound it cannot place.
|
||||
*/
|
||||
softLimits: Array<number | null | undefined> = [],
|
||||
): AxisDistribution {
|
||||
const { minPositive, hasNonPositive } = getPositiveRange(values);
|
||||
switch (scale) {
|
||||
case ScatterAxisScale.Linear:
|
||||
return { distribution: DistributionType.Linear };
|
||||
case ScatterAxisScale.SymLog:
|
||||
return symmetricLogDistribution(minPositive);
|
||||
case ScatterAxisScale.Log:
|
||||
return hasNonPositive
|
||||
? symmetricLogDistribution(minPositive)
|
||||
: { distribution: DistributionType.Logarithmic };
|
||||
case ScatterAxisScale.Auto:
|
||||
default: {
|
||||
const extent = getPositiveRange([
|
||||
...values,
|
||||
...softLimits.filter((limit): limit is number => limit != null),
|
||||
]);
|
||||
const spansDecades =
|
||||
Number.isFinite(extent.minPositive) &&
|
||||
Math.log10(extent.maxPositive / extent.minPositive) >= AUTO_LOG_MIN_DECADES;
|
||||
return !extent.hasNonPositive && spansDecades
|
||||
? { distribution: DistributionType.Logarithmic }
|
||||
: { distribution: DistributionType.Linear };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** The scatter range is unsnapped, so a log axis places and labels its own ticks. */
|
||||
function getLogAxisTicks({
|
||||
distribution,
|
||||
}: AxisDistribution): Pick<AxisProps, 'splits' | 'filter'> {
|
||||
return distribution === DistributionType.Logarithmic
|
||||
? { splits: logScaleSplits, filter: spacedLogLabels }
|
||||
: {};
|
||||
}
|
||||
|
||||
export function buildScatterConfig({
|
||||
id,
|
||||
series,
|
||||
isDarkMode,
|
||||
x,
|
||||
y,
|
||||
pointSize = DEFAULT_SCATTER_POINT_SIZE,
|
||||
fillOpacity,
|
||||
colorMapping = {},
|
||||
thresholds,
|
||||
decimalPrecision,
|
||||
selectionPreferencesSource,
|
||||
shouldSaveSelectionPreference,
|
||||
}: BuildScatterConfigArgs): UPlotConfigBuilder {
|
||||
const builder = new UPlotConfigBuilder({
|
||||
id,
|
||||
selectionPreferencesSource,
|
||||
shouldSaveSelectionPreference,
|
||||
});
|
||||
|
||||
const plugin = createScatterPlugin({ pointSize });
|
||||
applyScatterPlugin(builder, plugin);
|
||||
// The last x label is centred on the plot's right edge; room for its unit.
|
||||
builder.setPadding([16, X_AXIS_END_LABEL_PADDING_PX, 8, 8]);
|
||||
|
||||
const ySoftLimits = adjustSoftLimitsWithThresholds(
|
||||
y.softMin ?? null,
|
||||
y.softMax ?? null,
|
||||
thresholds,
|
||||
y.unit,
|
||||
);
|
||||
const xDistribution = resolveAxisDistribution(
|
||||
series.flatMap((entry) => entry.xs),
|
||||
x.scale,
|
||||
[x.softMin, x.softMax],
|
||||
);
|
||||
const yDistribution = resolveAxisDistribution(
|
||||
series.flatMap((entry) => entry.ys),
|
||||
y.scale,
|
||||
[ySoftLimits.softMin, ySoftLimits.softMax],
|
||||
);
|
||||
|
||||
const yThresholds =
|
||||
thresholds && thresholds.length > 0
|
||||
? { scaleKey: 'y', thresholds, yAxisUnit: y.unit }
|
||||
: undefined;
|
||||
|
||||
// The largest disc drawn, plus its outline, kept clear of each plot edge.
|
||||
const largestDiameter = series.some((entry) => entry.sizes)
|
||||
? pointSize.max
|
||||
: pointSize.fixed;
|
||||
const marginPx = largestDiameter / 2 + POINT_STROKE_WIDTH;
|
||||
|
||||
builder.addScale({
|
||||
scaleKey: 'x',
|
||||
time: false,
|
||||
softMin: x.softMin ?? undefined,
|
||||
softMax: x.softMax ?? undefined,
|
||||
range: createScatterRange({
|
||||
dimension: 'x',
|
||||
marginPx,
|
||||
softMin: x.softMin,
|
||||
softMax: x.softMax,
|
||||
...xDistribution,
|
||||
}),
|
||||
...xDistribution,
|
||||
});
|
||||
builder.addScale({
|
||||
scaleKey: 'y',
|
||||
time: false,
|
||||
softMin: y.softMin ?? undefined,
|
||||
softMax: y.softMax ?? undefined,
|
||||
thresholds: yThresholds,
|
||||
range: createScatterRange({
|
||||
dimension: 'y',
|
||||
marginPx,
|
||||
...ySoftLimits,
|
||||
...yDistribution,
|
||||
}),
|
||||
...yDistribution,
|
||||
});
|
||||
|
||||
builder.addAxis({
|
||||
scaleKey: 'x',
|
||||
side: 2,
|
||||
label: x.label || undefined,
|
||||
isDarkMode,
|
||||
isTimeAxis: false,
|
||||
yAxisUnit: x.unit ?? '',
|
||||
decimalPrecision,
|
||||
isLogScale: xDistribution.distribution !== DistributionType.Linear,
|
||||
...getLogAxisTicks(xDistribution),
|
||||
space: X_AXIS_TICK_SPACE_PX,
|
||||
});
|
||||
builder.addAxis({
|
||||
scaleKey: 'y',
|
||||
side: 3,
|
||||
label: y.label || undefined,
|
||||
isDarkMode,
|
||||
yAxisUnit: y.unit ?? '',
|
||||
decimalPrecision,
|
||||
isLogScale: yDistribution.distribution !== DistributionType.Linear,
|
||||
...getLogAxisTicks(yDistribution),
|
||||
});
|
||||
|
||||
series.forEach((entry) => {
|
||||
builder.addSeries({
|
||||
scaleKey: 'y',
|
||||
label: entry.label,
|
||||
colorMapping,
|
||||
drawStyle: DrawStyle.Scatter,
|
||||
pathBuilder: plugin.pathBuilder,
|
||||
facets: SCATTER_FACETS,
|
||||
lineWidth: POINT_STROKE_WIDTH,
|
||||
pointSize: pointSize.fixed,
|
||||
fillOpacity,
|
||||
isDarkMode,
|
||||
});
|
||||
});
|
||||
|
||||
if (yThresholds) {
|
||||
builder.addThresholds(yThresholds);
|
||||
}
|
||||
|
||||
return builder;
|
||||
}
|
||||
@@ -16,6 +16,10 @@ import type {
|
||||
HeatmapColorOptions,
|
||||
HeatmapSeries,
|
||||
} from 'lib/uPlotV2/plugins/HeatmapPlugin/types';
|
||||
import type {
|
||||
ScatterChannels,
|
||||
ScatterPointLabel,
|
||||
} from 'lib/uPlotV2/plugins/ScatterPlugin/types';
|
||||
import {
|
||||
DashboardCursorSync,
|
||||
SyncTooltipFilterMode,
|
||||
@@ -88,6 +92,27 @@ export interface HistogramChartProps extends ChartWrapperProps {
|
||||
isQueriesMerged?: boolean;
|
||||
}
|
||||
|
||||
/** The dot a click landed on; `seriesIndex` is uPlot's, so the first series is 1. */
|
||||
export interface ScatterPointClick {
|
||||
seriesIndex: number;
|
||||
dataIndex: number;
|
||||
/** The series' drawn colour. */
|
||||
color: string;
|
||||
/** Viewport coordinates of the click. */
|
||||
coordinates: { x: number; y: number };
|
||||
}
|
||||
|
||||
/** `data` is mode-2 (`prepareScatterChartData`); `config` comes from `buildScatterConfig`. */
|
||||
export interface ScatterChartProps extends ChartWrapperProps {
|
||||
channels: ScatterChannels;
|
||||
resolvePointLabels?: (
|
||||
seriesIndex: number,
|
||||
dataIndex: number,
|
||||
) => ScatterPointLabel[];
|
||||
/** Fires for a click on a dot; a click on empty plot space fires nothing. */
|
||||
onPointClick?: (click: ScatterPointClick) => void;
|
||||
}
|
||||
|
||||
/**
|
||||
* Data arrives as the query response carries it — bucket bounds plus one series per
|
||||
* group — and the chart pivots and sums it, so no caller has to get the transpose
|
||||
|
||||
@@ -123,10 +123,22 @@ func (d *DashboardSpec) validatePanels() error {
|
||||
return err
|
||||
}
|
||||
}
|
||||
// validatePanelQueryCount left exactly one query for a spec that reads it.
|
||||
if spec, ok := panel.Spec.Plugin.Spec.(queryBoundPanelSpec); ok {
|
||||
if err := spec.validateAgainstQuery(panel.Spec.Queries[0], path+".spec.plugin.spec"); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// queryBoundPanelSpec is a panel spec with fields that depend on the panel's
|
||||
// query. It is checked after the query itself validates.
|
||||
type queryBoundPanelSpec interface {
|
||||
validateAgainstQuery(query Query, path string) error
|
||||
}
|
||||
|
||||
func validatePanelQueryCount(queries []Query, panelKind PanelPluginKind, path string) error {
|
||||
if queries == nil {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s.spec.queries: is required and must not be null; use [] for a panel that renders without a query", path)
|
||||
|
||||
@@ -1869,6 +1869,319 @@ func TestInvalidateAreaChartPanelSpecValues(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
func TestScatterPlotPanelDefaults(t *testing.T) {
|
||||
data := []byte(`{
|
||||
"variables": [],
|
||||
"panels": {
|
||||
"p1": {
|
||||
"kind": "Panel",
|
||||
"spec": {
|
||||
"links": [],
|
||||
"plugin": {
|
||||
"kind": "signoz/ScatterPlotPanel",
|
||||
"spec": {}
|
||||
},
|
||||
"queries": [{"kind": "scalar", "spec": {"plugin": {"kind": "signoz/ClickHouseSQL", "spec": {"name": "A", "query": "SELECT 1"}}}}]
|
||||
}
|
||||
}
|
||||
},
|
||||
"links": [],
|
||||
"layouts": []
|
||||
}`)
|
||||
d, err := unmarshalDashboard(data)
|
||||
require.NoError(t, err, "unmarshal and validate failed")
|
||||
|
||||
require.IsType(t, &ScatterPlotPanelSpec{}, d.Panels["p1"].Spec.Plugin.Spec)
|
||||
spec := d.Panels["p1"].Spec.Plugin.Spec.(*ScatterPlotPanelSpec)
|
||||
|
||||
assert.Empty(t, spec.Dimensions.X, "an omitted x stays empty so the renderer picks the first value column")
|
||||
assert.Empty(t, spec.Dimensions.Y, "an omitted y stays empty so the renderer picks the second value column")
|
||||
assert.Empty(t, spec.Dimensions.ColorBy, "an omitted colorBy stays empty so the renderer colours by every group-by label")
|
||||
assert.Equal(t, "auto", spec.Axes.X.Scale.ValueOrDefault(), "expected x scale default auto")
|
||||
assert.Equal(t, "auto", spec.Axes.Y.Scale.ValueOrDefault(), "expected y scale default auto")
|
||||
assert.Nil(t, spec.Axes.X.SoftMin, "expected x softMin unset")
|
||||
assert.Equal(t, "2", spec.Formatting.DecimalPrecision.ValueOrDefault(), "expected DecimalPrecision default 2")
|
||||
assert.Equal(t, "global_time", spec.Visualization.TimePreference.ValueOrDefault(), "expected TimePreference default global_time")
|
||||
assert.Equal(t, "bottom", spec.Legend.Position.ValueOrDefault(), "expected LegendPosition default bottom")
|
||||
|
||||
output, err := json.Marshal(d)
|
||||
require.NoError(t, err, "marshal dashboard failed")
|
||||
assert.Contains(t, string(output), `"axes":{"x":{"softMin":null,"softMax":null,"scale":"auto","label":""},"y":{"softMin":null,"softMax":null,"scale":"auto","label":""}}`, "expected default axes in stored/response JSON")
|
||||
assert.Contains(t, string(output), `"dimensions":{"x":"","y":"","sizeBy":"","colorBy":null}`, "expected empty dimensions in stored/response JSON")
|
||||
assert.Contains(t, string(output), `"chartAppearance":{"points":{"size":null,"minSize":null,"maxSize":null,"opacity":null}}`, "omitted point settings stay null so the renderer applies its defaults")
|
||||
}
|
||||
|
||||
func TestValidateScatterPlotDashboard(t *testing.T) {
|
||||
data, err := os.ReadFile("testdata/perses_scatter_plot_panel.json")
|
||||
require.NoError(t, err, "reading example file")
|
||||
|
||||
spec, err := unmarshalDashboard(data)
|
||||
require.NoError(t, err, "unmarshal and validate failed")
|
||||
|
||||
require.IsType(t, &ScatterPlotPanelSpec{}, spec.Panels["p1"].Spec.Plugin.Spec)
|
||||
panelSpec := spec.Panels["p1"].Spec.Plugin.Spec.(*ScatterPlotPanelSpec)
|
||||
softMin, softMax := 0.0, 1000.0
|
||||
size, minSize, maxSize, opacity := PointDiameter(8), PointDiameter(4), PointDiameter(24), PointOpacity(0.1)
|
||||
assert.Equal(t, &ScatterPlotPanelSpec{
|
||||
Visualization: BasicVisualization{TimePreference: TimePreferenceLast1Hr},
|
||||
Dimensions: ScatterPlotDimensions{X: "A.count()", Y: "A.p99(duration_nano)", SizeBy: "A.countIf(has_error = true)", ColorBy: []string{"k8s.namespace.name", "k8s.pod.name"}},
|
||||
Formatting: TableFormatting{ColumnUnits: map[string]string{"A.p99(duration_nano)": "ns"}, DecimalPrecision: PrecisionOption1},
|
||||
Axes: ScatterPlotAxes{
|
||||
X: ScatterPlotAxis{SoftMin: &softMin, Scale: AxisScaleLog, Label: "Throughput"},
|
||||
Y: ScatterPlotAxis{SoftMax: &softMax, Scale: AxisScaleSymlog, Label: "p99 latency"},
|
||||
},
|
||||
ChartAppearance: ScatterPlotChartAppearance{Points: ScatterPlotPoints{Size: &size, MinSize: &minSize, MaxSize: &maxSize, Opacity: &opacity}},
|
||||
Legend: Legend{Position: LegendPositionRight, Mode: LegendModeList, CustomColors: map[string]string{"checkout": "#1f77b4"}},
|
||||
Thresholds: []ScatterPlotThreshold{
|
||||
{ThresholdWithLabel: ThresholdWithLabel{Value: 300, Unit: "ms", Color: "#f00", Label: "p99 SLO"}, Axis: ThresholdAxisY},
|
||||
{ThresholdWithLabel: ThresholdWithLabel{Value: 50, Color: "#0f0"}, Axis: ThresholdAxisX},
|
||||
},
|
||||
}, panelSpec)
|
||||
|
||||
dashboard := &DashboardV2{Spec: *spec}
|
||||
request, err := dashboard.GetPanelQuery(1, 2, "p1")
|
||||
require.NoError(t, err, "building the panel's query failed")
|
||||
assert.Equal(t, qb.RequestTypeScalar, request.RequestType)
|
||||
require.NotNil(t, request.FormatOptions)
|
||||
assert.True(t, request.FormatOptions.FormatTableResultForUI, "scatter rows are joined the way a table's are")
|
||||
|
||||
require.Len(t, request.CompositeQuery.Queries, 1)
|
||||
query, ok := request.CompositeQuery.Queries[0].Spec.(qb.QueryBuilderQuery[qb.TraceAggregation])
|
||||
require.True(t, ok, "expected a traces builder query")
|
||||
assert.Len(t, query.Aggregations, 3)
|
||||
assert.Len(t, query.GroupBy, 2)
|
||||
|
||||
require.NoError(t, request.Validate(), "the request built from the panel is not a valid scalar request")
|
||||
|
||||
// the panel read back out of storage draws the same scatter plot
|
||||
stored, err := json.Marshal(spec)
|
||||
require.NoError(t, err, "marshal dashboard failed")
|
||||
reread, err := unmarshalDashboard(stored)
|
||||
require.NoError(t, err, "the stored dashboard does not validate")
|
||||
assert.Equal(t, panelSpec, reread.Panels["p1"].Spec.Plugin.Spec)
|
||||
rereadRequest, err := (&DashboardV2{Spec: *reread}).GetPanelQuery(1, 2, "p1")
|
||||
require.NoError(t, err, "building the stored panel's query failed")
|
||||
assert.Equal(t, request, rereadRequest)
|
||||
}
|
||||
|
||||
func TestInvalidateScatterPlotPanelSpecValues(t *testing.T) {
|
||||
tests := []struct {
|
||||
scenario string
|
||||
panelKind string
|
||||
panelSpec string
|
||||
expectedErrorSubstring string
|
||||
}{
|
||||
{
|
||||
scenario: "unknown axis scale",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"axes": {"x": {"scale": "sqrt"}}}`,
|
||||
expectedErrorSubstring: "invalid axis scale \"sqrt\": must be `auto`, `linear`, `log`, or `symlog`",
|
||||
},
|
||||
{
|
||||
scenario: "non-string axis scale",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"axes": {"y": {"scale": true}}}`,
|
||||
expectedErrorSubstring: "cannot unmarshal bool",
|
||||
},
|
||||
{
|
||||
scenario: "isLogScale on a scatter plot axis",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"axes": {"x": {"isLogScale": true}}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
{
|
||||
scenario: "single-axis axes shape on a scatter plot panel",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"axes": {"softMin": 0}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
{
|
||||
scenario: "unknown threshold axis",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"thresholds": [{"value": 1, "color": "#f00", "axis": "z"}]}`,
|
||||
expectedErrorSubstring: "invalid threshold axis \"z\": must be `x` or `y`",
|
||||
},
|
||||
{
|
||||
scenario: "unknown dimension",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"dimensions": {"z": "A"}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
{
|
||||
scenario: "point size below the minimum",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"size": 1}}}`,
|
||||
expectedErrorSubstring: "invalid point diameter 1: must be a whole number between 2 and 40",
|
||||
},
|
||||
{
|
||||
scenario: "max point size above the maximum",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"maxSize": 41}}}`,
|
||||
expectedErrorSubstring: "invalid point diameter 41",
|
||||
},
|
||||
{
|
||||
scenario: "fractional point size",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"minSize": 4.5}}}`,
|
||||
expectedErrorSubstring: "cannot unmarshal number 4.5",
|
||||
},
|
||||
{
|
||||
scenario: "min point size above max",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"minSize": 20, "maxSize": 10}}}`,
|
||||
expectedErrorSubstring: "minSize 20 must not exceed maxSize 10",
|
||||
},
|
||||
{
|
||||
scenario: "point opacity below the floor",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"opacity": 0.05}}}`,
|
||||
expectedErrorSubstring: "invalid point opacity 0.05: must be between 0.1 and 1",
|
||||
},
|
||||
{
|
||||
scenario: "point opacity as a percentage",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"points": {"opacity": 70}}}`,
|
||||
expectedErrorSubstring: "invalid point opacity 70",
|
||||
},
|
||||
{
|
||||
scenario: "area fill fields on a scatter plot",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"chartAppearance": {"fillOpacity": 0.5}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
{
|
||||
scenario: "a single colour key as a string",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"dimensions": {"colorBy": "service.name"}}`,
|
||||
expectedErrorSubstring: "cannot unmarshal string",
|
||||
},
|
||||
{
|
||||
scenario: "panel-wide unit on a scatter plot panel",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"formatting": {"unit": "ms"}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
{
|
||||
scenario: "threshold without a color",
|
||||
panelKind: "signoz/ScatterPlotPanel",
|
||||
panelSpec: `{"thresholds": [{"value": 300}]}`,
|
||||
expectedErrorSubstring: "Color' Error:Field validation for 'Color' failed on the 'required' tag",
|
||||
},
|
||||
{
|
||||
scenario: "scale on a time series panel",
|
||||
panelKind: "signoz/TimeSeriesPanel",
|
||||
panelSpec: `{"axes": {"scale": "log"}}`,
|
||||
expectedErrorSubstring: "unknown field",
|
||||
},
|
||||
}
|
||||
|
||||
for _, test := range tests {
|
||||
t.Run(test.scenario, func(t *testing.T) {
|
||||
data := []byte(`{
|
||||
"variables": [],
|
||||
"panels": {
|
||||
"p1": {
|
||||
"kind": "Panel",
|
||||
"spec": {
|
||||
"links": [],
|
||||
"plugin": {"kind": "` + test.panelKind + `", "spec": ` + test.panelSpec + `},
|
||||
"queries": [{"kind": "scalar", "spec": {"plugin": {"kind": "signoz/ClickHouseSQL", "spec": {"name": "A", "query": "SELECT 1"}}}}]
|
||||
}
|
||||
}
|
||||
},
|
||||
"links": [],
|
||||
"layouts": []
|
||||
}`)
|
||||
_, err := unmarshalDashboard(data)
|
||||
require.Error(t, err, "expected the spec to be rejected")
|
||||
assert.Contains(t, err.Error(), test.expectedErrorSubstring, "unexpected error message: %s", err.Error())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestScatterPlotDimensionsBindToQuery(t *testing.T) {
|
||||
tests := []struct {
|
||||
scenario string
|
||||
queryPlugin string
|
||||
dimensions string
|
||||
expectedErrorSubstring string
|
||||
}{
|
||||
{
|
||||
scenario: "a single-aggregation query is one value column keyed by its name",
|
||||
queryPlugin: `{"kind": "signoz/BuilderQuery", "spec": {"name": "A", "signal": "traces", "aggregations": [{"expression": "count()"}], "groupBy": [{"name": "service.name"}]}}`,
|
||||
dimensions: `{"x": "A", "colorBy": ["service.name"]}`,
|
||||
},
|
||||
{
|
||||
scenario: "a multi-aggregation query keys each value column by name and expression",
|
||||
queryPlugin: `{"kind": "signoz/BuilderQuery", "spec": {"name": "A", "signal": "traces", "aggregations": [{"expression": "count()"}, {"expression": "p99(duration_nano)"}]}}`,
|
||||
dimensions: `{"x": "A"}`,
|
||||
expectedErrorSubstring: "dimensions.x: \"A\" is not a value column of the panel's query; value columns: `A.count()`, `A.p99(duration_nano)`",
|
||||
},
|
||||
{
|
||||
scenario: "a value column of a query the panel does not have",
|
||||
queryPlugin: `{"kind": "signoz/BuilderQuery", "spec": {"name": "A", "signal": "logs", "aggregations": [{"expression": "count()"}]}}`,
|
||||
dimensions: `{"y": "B"}`,
|
||||
expectedErrorSubstring: "dimensions.y: \"B\" is not a value column of the panel's query; value columns: `A`",
|
||||
},
|
||||
{
|
||||
scenario: "a colour key the query does not group by",
|
||||
queryPlugin: `{"kind": "signoz/BuilderQuery", "spec": {"name": "A", "signal": "traces", "aggregations": [{"expression": "count()"}], "groupBy": [{"name": "service.name"}]}}`,
|
||||
dimensions: `{"colorBy": ["service.name", "k8s.pod.name"]}`,
|
||||
expectedErrorSubstring: "dimensions.colorBy: \"k8s.pod.name\" is not a group-by key of the panel's query; group-by keys: `service.name`",
|
||||
},
|
||||
{
|
||||
scenario: "a formula is a value column and carries the labels of the disabled queries it reads",
|
||||
queryPlugin: `{"kind": "signoz/CompositeQuery", "spec": {"queries": [
|
||||
{"type": "builder_query", "spec": {"name": "A", "signal": "traces", "disabled": true, "aggregations": [{"expression": "count()"}], "groupBy": [{"name": "service.name"}]}},
|
||||
{"type": "builder_query", "spec": {"name": "B", "signal": "traces", "disabled": true, "aggregations": [{"expression": "countIf(has_error = true)"}], "groupBy": [{"name": "service.name"}]}},
|
||||
{"type": "builder_formula", "spec": {"name": "F1", "expression": "B / A"}}
|
||||
]}}`,
|
||||
dimensions: `{"x": "F1", "colorBy": ["service.name"]}`,
|
||||
},
|
||||
{
|
||||
scenario: "a disabled query yields no value column",
|
||||
queryPlugin: `{"kind": "signoz/CompositeQuery", "spec": {"queries": [
|
||||
{"type": "builder_query", "spec": {"name": "A", "signal": "logs", "disabled": true, "aggregations": [{"expression": "count()"}]}},
|
||||
{"type": "builder_formula", "spec": {"name": "F1", "expression": "A * 2"}}
|
||||
]}}`,
|
||||
dimensions: `{"sizeBy": "A"}`,
|
||||
expectedErrorSubstring: "dimensions.sizeBy: \"A\" is not a value column of the panel's query; value columns: `F1`",
|
||||
},
|
||||
{
|
||||
scenario: "clickhouse columns are only known at run time, so the bindings go unchecked",
|
||||
queryPlugin: `{"kind": "signoz/ClickHouseSQL", "spec": {"name": "A", "query": "SELECT 1"}}`,
|
||||
dimensions: `{"x": "throughput", "colorBy": ["pod"]}`,
|
||||
},
|
||||
}
|
||||
|
||||
for _, test := range tests {
|
||||
t.Run(test.scenario, func(t *testing.T) {
|
||||
data := []byte(`{
|
||||
"variables": [],
|
||||
"panels": {
|
||||
"p1": {
|
||||
"kind": "Panel",
|
||||
"spec": {
|
||||
"links": [],
|
||||
"plugin": {"kind": "signoz/ScatterPlotPanel", "spec": {"dimensions": ` + test.dimensions + `}},
|
||||
"queries": [{"kind": "scalar", "spec": {"plugin": ` + test.queryPlugin + `}}]
|
||||
}
|
||||
}
|
||||
},
|
||||
"links": [],
|
||||
"layouts": []
|
||||
}`)
|
||||
_, err := unmarshalDashboard(data)
|
||||
if test.expectedErrorSubstring == "" {
|
||||
require.NoError(t, err)
|
||||
return
|
||||
}
|
||||
require.Error(t, err, "expected the binding to be rejected")
|
||||
assert.Contains(t, err.Error(), test.expectedErrorSubstring, "unexpected error message: %s", err.Error())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestNumberPanelDefaults(t *testing.T) {
|
||||
data := []byte(`{
|
||||
"variables": [],
|
||||
@@ -2190,7 +2503,7 @@ func TestPanelTypeQueryTypeCompatibility(t *testing.T) {
|
||||
switch panelKind {
|
||||
case "signoz/ListPanel":
|
||||
return "raw"
|
||||
case "signoz/TablePanel", "signoz/NumberPanel", "signoz/PieChartPanel", "signoz/HistogramPanel":
|
||||
case "signoz/TablePanel", "signoz/NumberPanel", "signoz/PieChartPanel", "signoz/HistogramPanel", "signoz/ScatterPlotPanel":
|
||||
return "scalar"
|
||||
default:
|
||||
return "time_series"
|
||||
@@ -2232,14 +2545,17 @@ func TestPanelTypeQueryTypeCompatibility(t *testing.T) {
|
||||
{"TimeSeries+PromQL", mkQuery("signoz/TimeSeriesPanel", "signoz/PromQLQuery", `{"name":"A","query":"up"}`), false},
|
||||
{"Table+ClickHouse", mkQuery("signoz/TablePanel", "signoz/ClickHouseSQL", `{"name":"A","query":"SELECT 1"}`), false},
|
||||
{"List+Builder", mkQuery("signoz/ListPanel", "signoz/BuilderQuery", `{"name":"A","signal":"logs"}`), false},
|
||||
{"ScatterPlot+ClickHouse", mkQuery("signoz/ScatterPlotPanel", "signoz/ClickHouseSQL", `{"name":"A","query":"SELECT 1"}`), false},
|
||||
// Top-level: rejected
|
||||
{"Table+PromQL", mkQuery("signoz/TablePanel", "signoz/PromQLQuery", `{"name":"A","query":"up"}`), true},
|
||||
{"ScatterPlot+PromQL", mkQuery("signoz/ScatterPlotPanel", "signoz/PromQLQuery", `{"name":"A","query":"up"}`), true},
|
||||
{"List+ClickHouse", mkQuery("signoz/ListPanel", "signoz/ClickHouseSQL", `{"name":"A","query":"SELECT 1"}`), true},
|
||||
{"List+PromQL", mkQuery("signoz/ListPanel", "signoz/PromQLQuery", `{"name":"A","query":"up"}`), true},
|
||||
{"List+Composite", mkQuery("signoz/ListPanel", "signoz/CompositeQuery", `{"queries":[]}`), true},
|
||||
{"List+Formula", mkQuery("signoz/ListPanel", "signoz/Formula", `{"name":"F1","expression":"A+B"}`), true},
|
||||
// Composite sub-queries
|
||||
{"Table+Composite(promql)", mkComposite("signoz/TablePanel", "promql", `{"name":"A","query":"up"}`), true},
|
||||
{"ScatterPlot+Composite(promql)", mkComposite("signoz/ScatterPlotPanel", "promql", `{"name":"A","query":"up"}`), true},
|
||||
{"Table+Composite(clickhouse)", mkComposite("signoz/TablePanel", "clickhouse_sql", `{"name":"A","query":"SELECT 1"}`), false},
|
||||
}
|
||||
|
||||
|
||||
@@ -28,16 +28,17 @@ type PanelPlugin struct {
|
||||
// (and strips the duplicate parent properties) after reflection.
|
||||
func (PanelPlugin) PrepareJSONSchema(s *jsonschema.Schema) error {
|
||||
return markDiscriminator(s, "kind", map[string]string{
|
||||
string(PanelKindTimeSeries): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTimeSeriesPanelSpec"),
|
||||
string(PanelKindBarChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesBarChartPanelSpec"),
|
||||
string(PanelKindAreaChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesAreaChartPanelSpec"),
|
||||
string(PanelKindNumber): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesNumberPanelSpec"),
|
||||
string(PanelKindPieChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesPieChartPanelSpec"),
|
||||
string(PanelKindTable): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTablePanelSpec"),
|
||||
string(PanelKindHistogram): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesHistogramPanelSpec"),
|
||||
string(PanelKindList): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesListPanelSpec"),
|
||||
string(PanelKindText): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTextPanelSpec"),
|
||||
string(PanelKindHeatmap): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesHeatmapPanelSpec"),
|
||||
string(PanelKindTimeSeries): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTimeSeriesPanelSpec"),
|
||||
string(PanelKindBarChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesBarChartPanelSpec"),
|
||||
string(PanelKindAreaChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesAreaChartPanelSpec"),
|
||||
string(PanelKindNumber): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesNumberPanelSpec"),
|
||||
string(PanelKindPieChart): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesPieChartPanelSpec"),
|
||||
string(PanelKindTable): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTablePanelSpec"),
|
||||
string(PanelKindHistogram): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesHistogramPanelSpec"),
|
||||
string(PanelKindList): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesListPanelSpec"),
|
||||
string(PanelKindText): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesTextPanelSpec"),
|
||||
string(PanelKindHeatmap): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesHeatmapPanelSpec"),
|
||||
string(PanelKindScatterPlot): schemaRef("DashboardtypesPanelPluginVariantGithubComSigNozSignozPkgTypesDashboardtypesScatterPlotPanelSpec"),
|
||||
})
|
||||
}
|
||||
|
||||
@@ -71,6 +72,7 @@ func (PanelPlugin) JSONSchemaOneOf() []any {
|
||||
PanelPluginVariant[ListPanelSpec]{Kind: string(PanelKindList)},
|
||||
PanelPluginVariant[TextPanelSpec]{Kind: string(PanelKindText)},
|
||||
PanelPluginVariant[HeatmapPanelSpec]{Kind: string(PanelKindHeatmap)},
|
||||
PanelPluginVariant[ScatterPlotPanelSpec]{Kind: string(PanelKindScatterPlot)},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -227,16 +229,17 @@ func (v VariablePluginVariant[S]) PrepareJSONSchema(s *jsonschema.Schema) error
|
||||
|
||||
var (
|
||||
panelPluginSpecs = map[PanelPluginKind]func() any{
|
||||
PanelKindTimeSeries: func() any { return new(TimeSeriesPanelSpec) },
|
||||
PanelKindBarChart: func() any { return new(BarChartPanelSpec) },
|
||||
PanelKindAreaChart: func() any { return new(AreaChartPanelSpec) },
|
||||
PanelKindNumber: func() any { return new(NumberPanelSpec) },
|
||||
PanelKindPieChart: func() any { return new(PieChartPanelSpec) },
|
||||
PanelKindTable: func() any { return new(TablePanelSpec) },
|
||||
PanelKindHistogram: func() any { return new(HistogramPanelSpec) },
|
||||
PanelKindList: func() any { return new(ListPanelSpec) },
|
||||
PanelKindText: func() any { return new(TextPanelSpec) },
|
||||
PanelKindHeatmap: func() any { return new(HeatmapPanelSpec) },
|
||||
PanelKindTimeSeries: func() any { return new(TimeSeriesPanelSpec) },
|
||||
PanelKindBarChart: func() any { return new(BarChartPanelSpec) },
|
||||
PanelKindAreaChart: func() any { return new(AreaChartPanelSpec) },
|
||||
PanelKindNumber: func() any { return new(NumberPanelSpec) },
|
||||
PanelKindPieChart: func() any { return new(PieChartPanelSpec) },
|
||||
PanelKindTable: func() any { return new(TablePanelSpec) },
|
||||
PanelKindHistogram: func() any { return new(HistogramPanelSpec) },
|
||||
PanelKindList: func() any { return new(ListPanelSpec) },
|
||||
PanelKindText: func() any { return new(TextPanelSpec) },
|
||||
PanelKindHeatmap: func() any { return new(HeatmapPanelSpec) },
|
||||
PanelKindScatterPlot: func() any { return new(ScatterPlotPanelSpec) },
|
||||
}
|
||||
queryPluginSpecs = map[QueryPluginKind]func() any{
|
||||
QueryKindBuilder: func() any { return new(BuilderQuerySpec) },
|
||||
@@ -252,16 +255,17 @@ var (
|
||||
VariableKindCustom: func() any { return new(CustomVariableSpec) },
|
||||
}
|
||||
allowedQueryKinds = map[PanelPluginKind][]QueryPluginKind{
|
||||
PanelKindTimeSeries: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindBarChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindAreaChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindNumber: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindHistogram: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindPieChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindClickHouseSQL},
|
||||
PanelKindTable: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindClickHouseSQL},
|
||||
PanelKindList: {QueryKindBuilder},
|
||||
PanelKindText: {},
|
||||
PanelKindHeatmap: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindTimeSeries: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindBarChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindAreaChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindNumber: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindHistogram: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindPieChart: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindClickHouseSQL},
|
||||
PanelKindTable: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindClickHouseSQL},
|
||||
PanelKindList: {QueryKindBuilder},
|
||||
PanelKindText: {},
|
||||
PanelKindHeatmap: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindPromQL, QueryKindClickHouseSQL},
|
||||
PanelKindScatterPlot: {QueryKindBuilder, QueryKindComposite, QueryKindFormula, QueryKindTraceOperator, QueryKindClickHouseSQL},
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@@ -214,7 +214,7 @@ func (d *DashboardV2) GetPanelQuery(startTime, endTime uint64, panelKey string)
|
||||
CompositeQuery: composite,
|
||||
FormatOptions: &qb.FormatOptions{
|
||||
FillGaps: fillGaps,
|
||||
FormatTableResultForUI: panel.Spec.Plugin.Kind == PanelKindTable,
|
||||
FormatTableResultForUI: panel.Spec.Plugin.Kind == PanelKindTable || panel.Spec.Plugin.Kind == PanelKindScatterPlot,
|
||||
},
|
||||
}, nil
|
||||
}
|
||||
|
||||
@@ -209,34 +209,38 @@ func TestDashboardV2GetPanelQuery(t *testing.T) {
|
||||
}
|
||||
})
|
||||
|
||||
t.Run("sets FormatTableResultForUI only for table panels", func(t *testing.T) {
|
||||
dashboard := &DashboardV2{
|
||||
Spec: DashboardSpec{
|
||||
Panels: map[string]*Panel{
|
||||
"panel-1": {
|
||||
Spec: PanelSpec{
|
||||
Plugin: PanelPlugin{Kind: PanelKindTable},
|
||||
Queries: []Query{
|
||||
{
|
||||
Kind: qb.RequestTypeScalar,
|
||||
Spec: QuerySpec{
|
||||
Plugin: QueryPlugin{
|
||||
Kind: QueryKindBuilder,
|
||||
Spec: &BuilderQuerySpec{Spec: qb.QueryBuilderQuery[qb.MetricAggregation]{Name: "A"}},
|
||||
t.Run("sets FormatTableResultForUI for panels that join scalar rows", func(t *testing.T) {
|
||||
for _, kind := range []PanelPluginKind{PanelKindTable, PanelKindScatterPlot} {
|
||||
t.Run(string(kind), func(t *testing.T) {
|
||||
dashboard := &DashboardV2{
|
||||
Spec: DashboardSpec{
|
||||
Panels: map[string]*Panel{
|
||||
"panel-1": {
|
||||
Spec: PanelSpec{
|
||||
Plugin: PanelPlugin{Kind: kind},
|
||||
Queries: []Query{
|
||||
{
|
||||
Kind: qb.RequestTypeScalar,
|
||||
Spec: QuerySpec{
|
||||
Plugin: QueryPlugin{
|
||||
Kind: QueryKindBuilder,
|
||||
Spec: &BuilderQuerySpec{Spec: qb.QueryBuilderQuery[qb.MetricAggregation]{Name: "A"}},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
req, err := dashboard.GetPanelQuery(1, 2, "panel-1")
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, req.FormatOptions)
|
||||
assert.True(t, req.FormatOptions.FormatTableResultForUI)
|
||||
req, err := dashboard.GetPanelQuery(1, 2, "panel-1")
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, req.FormatOptions)
|
||||
assert.True(t, req.FormatOptions.FormatTableResultForUI)
|
||||
})
|
||||
}
|
||||
})
|
||||
|
||||
t.Run("sets FillGaps from the panel visualization", func(t *testing.T) {
|
||||
|
||||
@@ -2,6 +2,8 @@ package dashboardtypes
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"maps"
|
||||
"slices"
|
||||
"strconv"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
@@ -166,20 +168,21 @@ func (BuilderQuerySpec) JSONSchemaOneOf() []any {
|
||||
type PanelPluginKind string
|
||||
|
||||
const (
|
||||
PanelKindTimeSeries PanelPluginKind = "signoz/TimeSeriesPanel"
|
||||
PanelKindBarChart PanelPluginKind = "signoz/BarChartPanel"
|
||||
PanelKindAreaChart PanelPluginKind = "signoz/AreaChartPanel"
|
||||
PanelKindNumber PanelPluginKind = "signoz/NumberPanel"
|
||||
PanelKindPieChart PanelPluginKind = "signoz/PieChartPanel"
|
||||
PanelKindTable PanelPluginKind = "signoz/TablePanel"
|
||||
PanelKindHistogram PanelPluginKind = "signoz/HistogramPanel"
|
||||
PanelKindList PanelPluginKind = "signoz/ListPanel"
|
||||
PanelKindText PanelPluginKind = "signoz/TextPanel"
|
||||
PanelKindHeatmap PanelPluginKind = "signoz/HeatmapPanel"
|
||||
PanelKindTimeSeries PanelPluginKind = "signoz/TimeSeriesPanel"
|
||||
PanelKindBarChart PanelPluginKind = "signoz/BarChartPanel"
|
||||
PanelKindAreaChart PanelPluginKind = "signoz/AreaChartPanel"
|
||||
PanelKindNumber PanelPluginKind = "signoz/NumberPanel"
|
||||
PanelKindPieChart PanelPluginKind = "signoz/PieChartPanel"
|
||||
PanelKindTable PanelPluginKind = "signoz/TablePanel"
|
||||
PanelKindHistogram PanelPluginKind = "signoz/HistogramPanel"
|
||||
PanelKindList PanelPluginKind = "signoz/ListPanel"
|
||||
PanelKindText PanelPluginKind = "signoz/TextPanel"
|
||||
PanelKindHeatmap PanelPluginKind = "signoz/HeatmapPanel"
|
||||
PanelKindScatterPlot PanelPluginKind = "signoz/ScatterPlotPanel"
|
||||
)
|
||||
|
||||
func (PanelPluginKind) Enum() []any {
|
||||
return []any{PanelKindTimeSeries, PanelKindBarChart, PanelKindAreaChart, PanelKindNumber, PanelKindPieChart, PanelKindTable, PanelKindHistogram, PanelKindList, PanelKindText, PanelKindHeatmap}
|
||||
return []any{PanelKindTimeSeries, PanelKindBarChart, PanelKindAreaChart, PanelKindNumber, PanelKindPieChart, PanelKindTable, PanelKindHistogram, PanelKindList, PanelKindText, PanelKindHeatmap, PanelKindScatterPlot}
|
||||
}
|
||||
|
||||
func (k PanelPluginKind) rendersWithoutQuery() bool {
|
||||
@@ -329,6 +332,95 @@ type TextPanelSpec struct {
|
||||
HeaderOptions HeaderOptions `json:"headerOptions"`
|
||||
}
|
||||
|
||||
type ScatterPlotPanelSpec struct {
|
||||
Visualization BasicVisualization `json:"visualization"`
|
||||
Dimensions ScatterPlotDimensions `json:"dimensions"`
|
||||
Formatting TableFormatting `json:"formatting"`
|
||||
Axes ScatterPlotAxes `json:"axes"`
|
||||
ChartAppearance ScatterPlotChartAppearance `json:"chartAppearance"`
|
||||
Legend Legend `json:"legend"`
|
||||
Thresholds []ScatterPlotThreshold `json:"thresholds" validate:"dive"`
|
||||
}
|
||||
|
||||
func (s *ScatterPlotPanelSpec) validateAgainstQuery(query Query, path string) error {
|
||||
composite, err := query.Spec.Plugin.buildV5CompositeQueryFromPlugin()
|
||||
if err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "%s.dimensions: %s", path, err.Error())
|
||||
}
|
||||
keys, known := composite.CollectResultColumnKeys()
|
||||
if !known {
|
||||
return nil
|
||||
}
|
||||
for _, binding := range []struct{ field, key string }{{"x", s.Dimensions.X}, {"y", s.Dimensions.Y}, {"sizeBy", s.Dimensions.SizeBy}} {
|
||||
// Empty is unset: the renderer picks a column or a fixed size.
|
||||
if binding.key == "" {
|
||||
continue
|
||||
}
|
||||
if _, ok := keys.Aggregations[binding.key]; !ok {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s.dimensions.%s: %q is not a value column of the panel's query; value columns: %s", path, binding.field, binding.key, allowedValuesForKind(slices.Sorted(maps.Keys(keys.Aggregations))))
|
||||
}
|
||||
}
|
||||
for _, label := range s.Dimensions.ColorBy {
|
||||
if _, ok := keys.Groups[label]; !ok {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "%s.dimensions.colorBy: %q is not a group-by key of the panel's query; group-by keys: %s", path, label, allowedValuesForKind(slices.Sorted(maps.Keys(keys.Groups))))
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// ScatterPlotDimensions binds result columns to what a dot encodes. Value columns
|
||||
// use the Table column key, so formatting.columnUnits carries over between the
|
||||
// two kinds.
|
||||
type ScatterPlotDimensions struct {
|
||||
X string `json:"x" description:"Value column key (queryName, or queryName.expression for a multi-aggregation query) plotted on the x axis. Empty uses the first value column."`
|
||||
Y string `json:"y" description:"Value column key plotted on the y axis. Empty uses the second value column."`
|
||||
SizeBy string `json:"sizeBy" description:"Value column key that scales dot size. Empty draws every dot at the default size."`
|
||||
ColorBy []string `json:"colorBy" description:"Group-by label names (e.g. k8s.namespace.name) whose combined values colour dots and drive the legend. Empty colours by every group-by label."`
|
||||
}
|
||||
|
||||
type ScatterPlotAxes struct {
|
||||
X ScatterPlotAxis `json:"x"`
|
||||
Y ScatterPlotAxis `json:"y"`
|
||||
}
|
||||
|
||||
type ScatterPlotAxis struct {
|
||||
SoftMin *float64 `json:"softMin"`
|
||||
SoftMax *float64 `json:"softMax"`
|
||||
Scale AxisScale `json:"scale"`
|
||||
Label string `json:"label" description:"Axis title. Empty draws none."`
|
||||
}
|
||||
|
||||
type ScatterPlotChartAppearance struct {
|
||||
Points ScatterPlotPoints `json:"points"`
|
||||
}
|
||||
|
||||
// ScatterPlotPoints keeps the fixed size and the size range side by side so
|
||||
// binding or unbinding dimensions.sizeBy restores the other's last setting. Nil
|
||||
// fields resolve to the renderer default.
|
||||
type ScatterPlotPoints struct {
|
||||
Size *PointDiameter `json:"size" description:"Diameter of every dot when dimensions.sizeBy is unset."`
|
||||
MinSize *PointDiameter `json:"minSize" description:"Diameter of the smallest dot when dimensions.sizeBy is set."`
|
||||
MaxSize *PointDiameter `json:"maxSize" description:"Diameter of the largest dot when dimensions.sizeBy is set."`
|
||||
Opacity *PointOpacity `json:"opacity"`
|
||||
}
|
||||
|
||||
func (p *ScatterPlotPoints) UnmarshalJSON(data []byte) error {
|
||||
type alias ScatterPlotPoints
|
||||
var tmp alias
|
||||
if err := json.Unmarshal(data, &tmp); err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid points")
|
||||
}
|
||||
*p = ScatterPlotPoints(tmp)
|
||||
return p.validate()
|
||||
}
|
||||
|
||||
func (p ScatterPlotPoints) validate() error {
|
||||
if p.MinSize != nil && p.MaxSize != nil && *p.MinSize > *p.MaxSize {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid points: minSize %d must not exceed maxSize %d", *p.MinSize, *p.MaxSize)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
type TextPresentation struct {
|
||||
TextAlign TextAlign `json:"textAlign"`
|
||||
VerticalAlign VerticalAlign `json:"verticalAlign"`
|
||||
@@ -410,6 +502,11 @@ type ComparisonThreshold struct {
|
||||
Format ThresholdFormat `json:"format"`
|
||||
}
|
||||
|
||||
type ScatterPlotThreshold struct {
|
||||
ThresholdWithLabel
|
||||
Axis ThresholdAxis `json:"axis"`
|
||||
}
|
||||
|
||||
type TableThreshold struct {
|
||||
ComparisonThreshold
|
||||
ColumnName string `json:"columnName" validate:"required" required:"true"`
|
||||
@@ -695,6 +792,86 @@ func (ls *LineStyle) UnmarshalJSON(data []byte) error {
|
||||
}
|
||||
}
|
||||
|
||||
// AxisScale `auto` leaves the choice to the renderer; `symlog` is log-like but
|
||||
// defined at and below zero.
|
||||
type AxisScale struct{ valuer.String }
|
||||
|
||||
var (
|
||||
AxisScaleAuto = AxisScale{valuer.NewString("auto")} // default
|
||||
AxisScaleLinear = AxisScale{valuer.NewString("linear")}
|
||||
AxisScaleLog = AxisScale{valuer.NewString("log")}
|
||||
AxisScaleSymlog = AxisScale{valuer.NewString("symlog")}
|
||||
)
|
||||
|
||||
func (AxisScale) Enum() []any {
|
||||
return []any{AxisScaleAuto, AxisScaleLinear, AxisScaleLog, AxisScaleSymlog}
|
||||
}
|
||||
|
||||
func (as AxisScale) ValueOrDefault() string {
|
||||
if as.IsZero() {
|
||||
return AxisScaleAuto.StringValue()
|
||||
}
|
||||
return as.StringValue()
|
||||
}
|
||||
|
||||
func (as AxisScale) MarshalJSON() ([]byte, error) {
|
||||
return json.Marshal(as.ValueOrDefault())
|
||||
}
|
||||
|
||||
func (as *AxisScale) UnmarshalJSON(data []byte) error {
|
||||
var v string
|
||||
if err := json.Unmarshal(data, &v); err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid axis scale: must be a string, one of `auto`, `linear`, `log`, or `symlog`")
|
||||
}
|
||||
val := AxisScale{valuer.NewString(v)}
|
||||
switch val {
|
||||
case AxisScaleAuto, AxisScaleLinear, AxisScaleLog, AxisScaleSymlog:
|
||||
*as = val
|
||||
return nil
|
||||
default:
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid axis scale %q: must be `auto`, `linear`, `log`, or `symlog`", v)
|
||||
}
|
||||
}
|
||||
|
||||
// ThresholdAxis is the axis a scatter plot threshold line marks: `y` draws it
|
||||
// horizontally, `x` vertically.
|
||||
type ThresholdAxis struct{ valuer.String }
|
||||
|
||||
var (
|
||||
ThresholdAxisX = ThresholdAxis{valuer.NewString("x")}
|
||||
ThresholdAxisY = ThresholdAxis{valuer.NewString("y")} // default
|
||||
)
|
||||
|
||||
func (ThresholdAxis) Enum() []any {
|
||||
return []any{ThresholdAxisX, ThresholdAxisY}
|
||||
}
|
||||
|
||||
func (ta ThresholdAxis) ValueOrDefault() string {
|
||||
if ta.IsZero() {
|
||||
return ThresholdAxisY.StringValue()
|
||||
}
|
||||
return ta.StringValue()
|
||||
}
|
||||
|
||||
func (ta ThresholdAxis) MarshalJSON() ([]byte, error) {
|
||||
return json.Marshal(ta.ValueOrDefault())
|
||||
}
|
||||
|
||||
func (ta *ThresholdAxis) UnmarshalJSON(data []byte) error {
|
||||
var v string
|
||||
if err := json.Unmarshal(data, &v); err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid threshold axis: must be a string, one of `x` or `y`")
|
||||
}
|
||||
val := ThresholdAxis{valuer.NewString(v)}
|
||||
switch val {
|
||||
case ThresholdAxisX, ThresholdAxisY:
|
||||
*ta = val
|
||||
return nil
|
||||
default:
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid threshold axis %q: must be `x` or `y`", v)
|
||||
}
|
||||
}
|
||||
|
||||
type FillMode struct{ valuer.String }
|
||||
|
||||
var (
|
||||
@@ -833,6 +1010,53 @@ func (o *FillOpacity) UnmarshalJSON(data []byte) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
const (
|
||||
minPointDiameter = 2
|
||||
maxPointDiameter = 40
|
||||
)
|
||||
|
||||
// PointDiameter is a scatter dot's diameter in whole CSS pixels.
|
||||
type PointDiameter int
|
||||
|
||||
func (PointDiameter) PrepareJSONSchema(s *jsonschema.Schema) error {
|
||||
s.WithMinimum(minPointDiameter).WithMaximum(maxPointDiameter)
|
||||
return nil
|
||||
}
|
||||
|
||||
func (d *PointDiameter) UnmarshalJSON(data []byte) error {
|
||||
var v int
|
||||
if err := json.Unmarshal(data, &v); err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid point diameter: must be a whole number between %d and %d", minPointDiameter, maxPointDiameter)
|
||||
}
|
||||
if v < minPointDiameter || v > maxPointDiameter {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid point diameter %d: must be a whole number between %d and %d", v, minPointDiameter, maxPointDiameter)
|
||||
}
|
||||
*d = PointDiameter(v)
|
||||
return nil
|
||||
}
|
||||
|
||||
const minPointOpacity = 0.1
|
||||
|
||||
// PointOpacity is a scatter dot's fill alpha. The floor keeps a dot visible.
|
||||
type PointOpacity float64
|
||||
|
||||
func (PointOpacity) PrepareJSONSchema(s *jsonschema.Schema) error {
|
||||
s.WithMinimum(minPointOpacity).WithMaximum(1)
|
||||
return nil
|
||||
}
|
||||
|
||||
func (o *PointOpacity) UnmarshalJSON(data []byte) error {
|
||||
var v float64
|
||||
if err := json.Unmarshal(data, &v); err != nil {
|
||||
return errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidInput, "invalid point opacity: must be a number between %v and 1", minPointOpacity)
|
||||
}
|
||||
if v < minPointOpacity || v > 1 {
|
||||
return errors.NewInvalidInputf(ErrCodeDashboardInvalidInput, "invalid point opacity %v: must be between %v and 1", v, minPointOpacity)
|
||||
}
|
||||
*o = PointOpacity(v)
|
||||
return nil
|
||||
}
|
||||
|
||||
type SpanGaps struct {
|
||||
FillOnlyBelow bool `json:"fillOnlyBelow" description:"Controls whether lines connect across null values. When false (default), all gaps are connected. When true, only gaps smaller than fillLessThan are connected."`
|
||||
FillLessThan string `json:"fillLessThan" description:"The maximum gap size to connect when fillOnlyBelow is true. Gaps larger than this duration are left disconnected."`
|
||||
|
||||
134
pkg/types/dashboardtypes/testdata/perses_scatter_plot_panel.json
vendored
Normal file
134
pkg/types/dashboardtypes/testdata/perses_scatter_plot_panel.json
vendored
Normal file
@@ -0,0 +1,134 @@
|
||||
{
|
||||
"display": {
|
||||
"name": "service health",
|
||||
"description": "throughput against tail latency per pod"
|
||||
},
|
||||
"variables": [],
|
||||
"panels": {
|
||||
"p1": {
|
||||
"kind": "Panel",
|
||||
"spec": {
|
||||
"display": {
|
||||
"name": "throughput vs p99",
|
||||
"description": ""
|
||||
},
|
||||
"plugin": {
|
||||
"kind": "signoz/ScatterPlotPanel",
|
||||
"spec": {
|
||||
"visualization": {
|
||||
"timePreference": "last_1_hr"
|
||||
},
|
||||
"dimensions": {
|
||||
"x": "A.count()",
|
||||
"y": "A.p99(duration_nano)",
|
||||
"sizeBy": "A.countIf(has_error = true)",
|
||||
"colorBy": ["k8s.namespace.name", "k8s.pod.name"]
|
||||
},
|
||||
"formatting": {
|
||||
"columnUnits": {
|
||||
"A.p99(duration_nano)": "ns"
|
||||
},
|
||||
"decimalPrecision": "1"
|
||||
},
|
||||
"axes": {
|
||||
"x": {
|
||||
"softMin": 0,
|
||||
"softMax": null,
|
||||
"scale": "log",
|
||||
"label": "Throughput"
|
||||
},
|
||||
"y": {
|
||||
"softMin": null,
|
||||
"softMax": 1000,
|
||||
"scale": "symlog",
|
||||
"label": "p99 latency"
|
||||
}
|
||||
},
|
||||
"chartAppearance": {
|
||||
"points": {
|
||||
"size": 8,
|
||||
"minSize": 4,
|
||||
"maxSize": 24,
|
||||
"opacity": 0.1
|
||||
}
|
||||
},
|
||||
"legend": {
|
||||
"position": "right",
|
||||
"mode": "list",
|
||||
"customColors": {
|
||||
"checkout": "#1f77b4"
|
||||
}
|
||||
},
|
||||
"thresholds": [
|
||||
{
|
||||
"value": 300,
|
||||
"unit": "ms",
|
||||
"color": "#f00",
|
||||
"label": "p99 SLO",
|
||||
"axis": "y"
|
||||
},
|
||||
{
|
||||
"value": 50,
|
||||
"color": "#0f0",
|
||||
"axis": "x"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"links": [],
|
||||
"queries": [
|
||||
{
|
||||
"kind": "scalar",
|
||||
"spec": {
|
||||
"plugin": {
|
||||
"kind": "signoz/BuilderQuery",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "traces",
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
},
|
||||
{
|
||||
"expression": "p99(duration_nano)"
|
||||
},
|
||||
{
|
||||
"expression": "countIf(has_error = true)"
|
||||
}
|
||||
],
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "k8s.namespace.name"
|
||||
},
|
||||
{
|
||||
"name": "k8s.pod.name"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"links": [],
|
||||
"layouts": [
|
||||
{
|
||||
"kind": "Grid",
|
||||
"spec": {
|
||||
"items": [
|
||||
{
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"width": 12,
|
||||
"height": 8,
|
||||
"content": {
|
||||
"$ref": "#/spec/panels/p1"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -266,6 +266,43 @@ type CompositeQuery struct {
|
||||
Queries []QueryEnvelope `json:"queries"`
|
||||
}
|
||||
|
||||
// ResultColumnKeys is what a scalar query yields per row, keyed the way the
|
||||
// UI keys columns: an aggregation column is the query name, or
|
||||
// queryName.expression when the query has several aggregations; a group
|
||||
// column is a group-by key name.
|
||||
type ResultColumnKeys struct {
|
||||
Aggregations map[string]struct{}
|
||||
Groups map[string]struct{}
|
||||
}
|
||||
|
||||
// CollectResultColumnKeys reports false when a query's columns are only known
|
||||
// at run time, as for ClickHouse SQL and PromQL. A disabled query yields no
|
||||
// aggregation column but keeps its group columns, since a formula over it
|
||||
// still carries them.
|
||||
func (c *CompositeQuery) CollectResultColumnKeys() (ResultColumnKeys, bool) {
|
||||
keys := ResultColumnKeys{Aggregations: map[string]struct{}{}, Groups: map[string]struct{}{}}
|
||||
for _, envelope := range c.Queries {
|
||||
if envelope.GetType() == QueryTypeClickHouseSQL || envelope.GetType() == QueryTypePromQL {
|
||||
return ResultColumnKeys{}, false
|
||||
}
|
||||
for _, key := range envelope.GetGroupBy() {
|
||||
keys.Groups[key.Name] = struct{}{}
|
||||
}
|
||||
if envelope.IsDisabled() {
|
||||
continue
|
||||
}
|
||||
expressions := envelope.GetAggregationExpressions()
|
||||
if len(expressions) <= 1 {
|
||||
keys.Aggregations[envelope.GetQueryName()] = struct{}{}
|
||||
continue
|
||||
}
|
||||
for _, expression := range expressions {
|
||||
keys.Aggregations[envelope.GetQueryName()+"."+expression] = struct{}{}
|
||||
}
|
||||
}
|
||||
return keys, true
|
||||
}
|
||||
|
||||
// PrepareJSONSchema adds description to the CompositeQuery schema.
|
||||
func (c *CompositeQuery) PrepareJSONSchema(schema *jsonschema.Schema) error {
|
||||
schema.WithDescription("Composite query containing one or more query envelopes. Each query envelope specifies its type and corresponding spec.")
|
||||
|
||||
@@ -225,6 +225,34 @@ func (q *QueryEnvelope) GetGroupBy() []GroupByKey {
|
||||
return nil
|
||||
}
|
||||
|
||||
// GetAggregationExpressions returns one entry per aggregation. A metric
|
||||
// aggregation has no expression, so it contributes an empty entry.
|
||||
func (q *QueryEnvelope) GetAggregationExpressions() []string {
|
||||
switch spec := q.Spec.(type) {
|
||||
case QueryBuilderTraceOperator:
|
||||
expressions := make([]string, len(spec.Aggregations))
|
||||
for i, aggregation := range spec.Aggregations {
|
||||
expressions[i] = aggregation.Expression
|
||||
}
|
||||
return expressions
|
||||
case QueryBuilderQuery[TraceAggregation]:
|
||||
expressions := make([]string, len(spec.Aggregations))
|
||||
for i, aggregation := range spec.Aggregations {
|
||||
expressions[i] = aggregation.Expression
|
||||
}
|
||||
return expressions
|
||||
case QueryBuilderQuery[LogAggregation]:
|
||||
expressions := make([]string, len(spec.Aggregations))
|
||||
for i, aggregation := range spec.Aggregations {
|
||||
expressions[i] = aggregation.Expression
|
||||
}
|
||||
return expressions
|
||||
case QueryBuilderQuery[MetricAggregation]:
|
||||
return make([]string, len(spec.Aggregations))
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// GetFilter returns the filter.
|
||||
func (q *QueryEnvelope) GetFilter() *Filter {
|
||||
switch spec := q.Spec.(type) {
|
||||
|
||||
@@ -1903,3 +1903,63 @@ func TestQueryRangeRequest_StepIntervalForQuery(t *testing.T) {
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestCompositeQueryCollectResultColumnKeys(t *testing.T) {
|
||||
testCases := []struct {
|
||||
scenario string
|
||||
composite CompositeQuery
|
||||
expectedKeys ResultColumnKeys
|
||||
expectedKnown bool
|
||||
}{
|
||||
{
|
||||
scenario: "a single aggregation is keyed by the query name",
|
||||
composite: CompositeQuery{Queries: []QueryEnvelope{{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[TraceAggregation]{
|
||||
Name: "A",
|
||||
Aggregations: []TraceAggregation{{Expression: "count()"}},
|
||||
GroupBy: []GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}}},
|
||||
}}}},
|
||||
expectedKeys: ResultColumnKeys{Aggregations: map[string]struct{}{"A": {}}, Groups: map[string]struct{}{"service.name": {}}},
|
||||
expectedKnown: true,
|
||||
},
|
||||
{
|
||||
scenario: "several aggregations are keyed by query name and expression",
|
||||
composite: CompositeQuery{Queries: []QueryEnvelope{{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{
|
||||
Name: "A",
|
||||
Aggregations: []LogAggregation{{Expression: "count()"}, {Expression: "p99(duration_nano)"}},
|
||||
}}}},
|
||||
expectedKeys: ResultColumnKeys{Aggregations: map[string]struct{}{"A.count()": {}, "A.p99(duration_nano)": {}}, Groups: map[string]struct{}{}},
|
||||
expectedKnown: true,
|
||||
},
|
||||
{
|
||||
scenario: "a disabled query yields no aggregation but keeps its groups for the formula over it",
|
||||
composite: CompositeQuery{Queries: []QueryEnvelope{
|
||||
{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[MetricAggregation]{
|
||||
Name: "A",
|
||||
Disabled: true,
|
||||
Aggregations: []MetricAggregation{{MetricName: "http.server.request.count"}},
|
||||
GroupBy: []GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}}},
|
||||
}},
|
||||
{Type: QueryTypeFormula, Spec: QueryBuilderFormula{Name: "F1", Expression: "A * 2"}},
|
||||
}},
|
||||
expectedKeys: ResultColumnKeys{Aggregations: map[string]struct{}{"F1": {}}, Groups: map[string]struct{}{"service.name": {}}},
|
||||
expectedKnown: true,
|
||||
},
|
||||
{
|
||||
scenario: "clickhouse columns are only known at run time",
|
||||
composite: CompositeQuery{Queries: []QueryEnvelope{{Type: QueryTypeClickHouseSQL, Spec: ClickHouseQuery{
|
||||
Name: "A",
|
||||
Query: "SELECT 1",
|
||||
}}}},
|
||||
expectedKeys: ResultColumnKeys{},
|
||||
expectedKnown: false,
|
||||
},
|
||||
}
|
||||
|
||||
for _, testCase := range testCases {
|
||||
t.Run(testCase.scenario, func(t *testing.T) {
|
||||
keys, known := testCase.composite.CollectResultColumnKeys()
|
||||
assert.Equal(t, testCase.expectedKnown, known)
|
||||
assert.Equal(t, testCase.expectedKeys, keys)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user