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1
.github/workflows/integrationci.yaml
vendored
1
.github/workflows/integrationci.yaml
vendored
@@ -44,7 +44,6 @@ jobs:
|
||||
- cloudintegrations
|
||||
- dashboard
|
||||
- ingestionkeys
|
||||
- inframonitoring
|
||||
- logspipelines
|
||||
- passwordauthn
|
||||
- preference
|
||||
|
||||
@@ -1360,7 +1360,6 @@ components:
|
||||
- sqs
|
||||
- storageaccountsblob
|
||||
- cdnprofile
|
||||
- aks
|
||||
type: string
|
||||
CloudintegrationtypesServiceMetadata:
|
||||
properties:
|
||||
|
||||
@@ -41,15 +41,6 @@ if (typeof window.IntersectionObserver === 'undefined') {
|
||||
(window as any).IntersectionObserver = IntersectionObserverMock;
|
||||
}
|
||||
|
||||
if (typeof window.ResizeObserver === 'undefined') {
|
||||
class ResizeObserverMock {
|
||||
observe(): void {}
|
||||
unobserve(): void {}
|
||||
disconnect(): void {}
|
||||
}
|
||||
(window as any).ResizeObserver = ResizeObserverMock;
|
||||
}
|
||||
|
||||
// Patch getComputedStyle to handle CSS parsing errors from @signozhq/* packages.
|
||||
// These packages inject CSS at import time via style-inject / vite-plugin-css-injected-by-js.
|
||||
// jsdom's nwsapi cannot parse some of the injected selectors (e.g. Tailwind's :animate-in),
|
||||
|
||||
@@ -2651,7 +2651,6 @@ export enum CloudintegrationtypesServiceIDDTO {
|
||||
sqs = 'sqs',
|
||||
storageaccountsblob = 'storageaccountsblob',
|
||||
cdnprofile = 'cdnprofile',
|
||||
aks = 'aks',
|
||||
}
|
||||
export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
|
||||
/**
|
||||
|
||||
@@ -110,6 +110,10 @@
|
||||
}
|
||||
}
|
||||
|
||||
[data-slot='drawer-footer']:has(.sa-drawer__keys-pagination) {
|
||||
--dialog-footer-padding: 0 var(--spacing-8);
|
||||
}
|
||||
|
||||
&__footer {
|
||||
flex-shrink: 0;
|
||||
display: flex;
|
||||
@@ -123,11 +127,14 @@
|
||||
align-items: center;
|
||||
justify-content: flex-end;
|
||||
width: 100%;
|
||||
padding: var(--padding-2) 0;
|
||||
min-height: var(--padding-10);
|
||||
}
|
||||
|
||||
.ant-pagination-total-text {
|
||||
margin-right: auto;
|
||||
}
|
||||
&__pagination-count {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--spacing-2);
|
||||
margin-right: auto;
|
||||
}
|
||||
|
||||
&__pagination-range {
|
||||
|
||||
@@ -5,7 +5,8 @@ import { Button } from '@signozhq/ui/button';
|
||||
import { DrawerWrapper } from '@signozhq/ui/drawer';
|
||||
import { toast } from '@signozhq/ui/sonner';
|
||||
import { ToggleGroupSimple } from '@signozhq/ui/toggle-group';
|
||||
import { Pagination, Skeleton } from 'antd';
|
||||
import { Skeleton } from 'antd';
|
||||
import { Pagination } from '@signozhq/ui/pagination';
|
||||
import { convertToApiError } from 'api/ErrorResponseHandlerForGeneratedAPIs';
|
||||
import {
|
||||
getListServiceAccountsQueryKey,
|
||||
@@ -208,15 +209,17 @@ function ServiceAccountDrawer({
|
||||
);
|
||||
const keys = keysData?.data ?? [];
|
||||
|
||||
const keysMaxPage = Math.max(1, Math.ceil(keys.length / PAGE_SIZE));
|
||||
const effectiveKeysPage = Math.min(keysPage, keysMaxPage);
|
||||
|
||||
useEffect(() => {
|
||||
if (keysLoading) {
|
||||
return;
|
||||
}
|
||||
const maxPage = Math.max(1, Math.ceil(keys.length / PAGE_SIZE));
|
||||
if (keysPage > maxPage) {
|
||||
void setKeysPage(maxPage);
|
||||
if (keysPage > keysMaxPage) {
|
||||
void setKeysPage(keysMaxPage);
|
||||
}
|
||||
}, [keysLoading, keys.length, keysPage, setKeysPage]);
|
||||
}, [keysLoading, keysMaxPage, keysPage, setKeysPage]);
|
||||
|
||||
// the retry for this mutation is safe due to the api being idempotent on backend
|
||||
const { mutateAsync: updateMutateAsync } = useUpdateServiceAccount();
|
||||
@@ -513,7 +516,7 @@ function ServiceAccountDrawer({
|
||||
isDisabled={isDeleted}
|
||||
canUpdate={canUpdate}
|
||||
accountId={selectedAccountId}
|
||||
currentPage={keysPage}
|
||||
currentPage={effectiveKeysPage}
|
||||
pageSize={PAGE_SIZE}
|
||||
/>
|
||||
) : (
|
||||
@@ -529,25 +532,25 @@ function ServiceAccountDrawer({
|
||||
const footer = (
|
||||
<div className="sa-drawer__footer">
|
||||
{activeTab === ServiceAccountDrawerTab.Keys ? (
|
||||
<Pagination
|
||||
current={keysPage}
|
||||
pageSize={PAGE_SIZE}
|
||||
total={keys.length}
|
||||
showTotal={(total: number, range: number[]): JSX.Element => (
|
||||
<>
|
||||
<div className="sa-drawer__keys-pagination">
|
||||
{keys.length > 0 && (
|
||||
<div className="sa-drawer__pagination-count">
|
||||
<span className="sa-drawer__pagination-range">
|
||||
{range[0]} — {range[1]}
|
||||
{(effectiveKeysPage - 1) * PAGE_SIZE + 1} —{' '}
|
||||
{Math.min(effectiveKeysPage * PAGE_SIZE, keys.length)}
|
||||
</span>
|
||||
<span className="sa-drawer__pagination-total"> of {total}</span>
|
||||
</>
|
||||
<span className="sa-drawer__pagination-total">of {keys.length}</span>
|
||||
</div>
|
||||
)}
|
||||
showSizeChanger={false}
|
||||
hideOnSinglePage
|
||||
onChange={(page): void => {
|
||||
void setKeysPage(page);
|
||||
}}
|
||||
className="sa-drawer__keys-pagination"
|
||||
/>
|
||||
<Pagination
|
||||
current={effectiveKeysPage}
|
||||
pageSize={PAGE_SIZE}
|
||||
total={keys.length}
|
||||
onPageChange={(page): void => {
|
||||
void setKeysPage(page);
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
) : (
|
||||
<>
|
||||
{!isDeleted && (
|
||||
|
||||
@@ -302,6 +302,58 @@ describe('ServiceAccountDrawer', () => {
|
||||
await screen.findByText(/No keys/i);
|
||||
});
|
||||
|
||||
it('Keys tab shows pagination count when keys exist', async () => {
|
||||
const keys = [
|
||||
{
|
||||
id: 'k-1',
|
||||
name: 'Key 1',
|
||||
expiresAt: 0,
|
||||
lastObservedAt: null as unknown as string,
|
||||
serviceAccountId: 'sa-1',
|
||||
},
|
||||
{
|
||||
id: 'k-2',
|
||||
name: 'Key 2',
|
||||
expiresAt: 0,
|
||||
lastObservedAt: null as unknown as string,
|
||||
serviceAccountId: 'sa-1',
|
||||
},
|
||||
{
|
||||
id: 'k-3',
|
||||
name: 'Key 3',
|
||||
expiresAt: 0,
|
||||
lastObservedAt: null as unknown as string,
|
||||
serviceAccountId: 'sa-1',
|
||||
},
|
||||
];
|
||||
|
||||
server.use(
|
||||
rest.get(SA_KEYS_ENDPOINT, (_, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json({ data: keys })),
|
||||
),
|
||||
);
|
||||
|
||||
const user = userEvent.setup({ pointerEventsCheck: 0 });
|
||||
renderDrawer();
|
||||
|
||||
await screen.findByDisplayValue('CI Bot');
|
||||
await user.click(screen.getByRole('radio', { name: /Keys/i }));
|
||||
await screen.findByText('Key 1');
|
||||
|
||||
// PAGE_SIZE=15, 3 keys on page 1 → range "1 — 3", total "of 3"
|
||||
const countEl = document.querySelector('.sa-drawer__pagination-count');
|
||||
expect(countEl).toBeInTheDocument();
|
||||
expect(
|
||||
countEl?.querySelector('.sa-drawer__pagination-total')?.textContent,
|
||||
).toBe('of 3');
|
||||
expect(
|
||||
countEl
|
||||
?.querySelector('.sa-drawer__pagination-range')
|
||||
?.textContent?.replace(/\s+/g, ' ')
|
||||
.trim(),
|
||||
).toBe('1 — 3');
|
||||
});
|
||||
|
||||
it('shows error state when account fetch fails', async () => {
|
||||
server.use(
|
||||
rest.get(SA_ENDPOINT, (_, res, ctx) =>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { useCallback, useMemo, useRef } from 'react';
|
||||
import ChartLayout from 'container/DashboardContainer/visualization/layout/ChartLayout/ChartLayout';
|
||||
import UPlotLegend from 'lib/uPlotV2/components/Legend/UPlotLegend';
|
||||
import Legend from 'lib/uPlotV2/components/Legend/Legend';
|
||||
import {
|
||||
LegendPosition,
|
||||
TooltipRenderArgs,
|
||||
@@ -47,7 +47,7 @@ export default function ChartWrapper({
|
||||
return null;
|
||||
}
|
||||
return (
|
||||
<UPlotLegend
|
||||
<Legend
|
||||
config={config}
|
||||
position={legendConfig.position}
|
||||
averageLegendWidth={averageLegendWidth}
|
||||
|
||||
@@ -1,67 +0,0 @@
|
||||
.pieChartWrapper {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.pieChartNoData {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
// Size is set inline from the computed chart dimensions (mirrors the uPlot
|
||||
// chart/legend split); this just centres the donut within that box.
|
||||
.pieChartContainer {
|
||||
flex: 0 0 auto;
|
||||
position: relative;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.pieChartTooltip {
|
||||
padding: 8px 12px;
|
||||
border-radius: 4px;
|
||||
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2);
|
||||
background-color: var(--l2-background) !important;
|
||||
border: 1px solid var(--l2-border) !important;
|
||||
z-index: 9999;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
.pieChartTooltipContent {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.pieChartIndicator {
|
||||
width: 12px;
|
||||
height: 12px;
|
||||
border-radius: 2px;
|
||||
margin-right: 8px;
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
.pieChartTooltipValue {
|
||||
font-weight: bold;
|
||||
margin-top: 4px;
|
||||
}
|
||||
|
||||
// Wraps the shared chart Legend. Its width/height are set inline from the
|
||||
// computed chart dimensions, so the VirtuosoGrid inside gets the same bounded
|
||||
// box (right column / bottom rows) the uPlot charts use.
|
||||
.pieChartLegend {
|
||||
flex: 0 0 auto;
|
||||
min-height: 0;
|
||||
min-width: 0;
|
||||
padding: 8px;
|
||||
}
|
||||
@@ -1,235 +0,0 @@
|
||||
import { useCallback, useMemo, useRef } from 'react';
|
||||
import { Color } from '@signozhq/design-tokens';
|
||||
import { Group } from '@visx/group';
|
||||
import { Pie as VisxPie } from '@visx/shape';
|
||||
import { defaultStyles, useTooltip, useTooltipInPortal } from '@visx/tooltip';
|
||||
import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
import Legend from 'lib/uPlotV2/components/Legend/Legend';
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
|
||||
import { PieChartProps, PieSlice } from '../types';
|
||||
import { calculateChartDimensions } from '../utils';
|
||||
|
||||
import { usePieInteractions } from '../../hooks/usePieInteractions';
|
||||
import PieArc from './PieArc';
|
||||
import PieCenterLabel from './PieCenterLabel';
|
||||
import styles from './Pie.module.scss';
|
||||
import { PieTooltipData } from './types';
|
||||
import { getFillColor } from './utils';
|
||||
|
||||
/**
|
||||
* Donut chart rendered with @visx. Splits its area into chart + legend with the
|
||||
* same `calculateChartDimensions` logic as the uPlot charts (right column /
|
||||
* up-to-two bottom rows), renders the shared chart Legend, and delegates the
|
||||
* arcs, centre total and interaction state to PieArc / PieCenterLabel /
|
||||
* usePieInteractions. Pure presentation — slices are pre-resolved by the caller.
|
||||
*/
|
||||
export default function Pie({
|
||||
data,
|
||||
yAxisUnit,
|
||||
decimalPrecision,
|
||||
isDarkMode,
|
||||
position = LegendPosition.BOTTOM,
|
||||
id,
|
||||
onSliceClick,
|
||||
'data-testid': testId,
|
||||
}: PieChartProps): JSX.Element {
|
||||
const {
|
||||
active,
|
||||
setActive,
|
||||
visibleData,
|
||||
legendItems,
|
||||
focusedSeriesIndex,
|
||||
onLegendClick,
|
||||
onLegendMouseMove,
|
||||
onLegendMouseLeave,
|
||||
} = usePieInteractions(data, id);
|
||||
|
||||
const {
|
||||
tooltipOpen,
|
||||
tooltipLeft,
|
||||
tooltipTop,
|
||||
tooltipData,
|
||||
hideTooltip,
|
||||
showTooltip,
|
||||
} = useTooltip<PieTooltipData>();
|
||||
|
||||
const { containerRef, TooltipInPortal } = useTooltipInPortal({
|
||||
scroll: true,
|
||||
detectBounds: true,
|
||||
});
|
||||
|
||||
const wrapperRef = useRef<HTMLDivElement>(null);
|
||||
const { width: containerWidth, height: containerHeight } =
|
||||
useResizeObserver(wrapperRef);
|
||||
|
||||
// Reuse the uPlot chart/legend split so the donut + legend get the same area
|
||||
// allocation (right column, or up-to-two bottom rows) as every other panel.
|
||||
const { width, height, legendWidth, legendHeight, averageLegendWidth } =
|
||||
useMemo(
|
||||
() =>
|
||||
calculateChartDimensions({
|
||||
containerWidth,
|
||||
containerHeight,
|
||||
legendConfig: { position },
|
||||
seriesLabels: data.map((slice) => slice.label),
|
||||
}),
|
||||
[containerWidth, containerHeight, position, data],
|
||||
);
|
||||
|
||||
// Donut geometry derived from the allocated chart box.
|
||||
const { size, radius, innerRadius } = useMemo(() => {
|
||||
const nextSize = Math.min(width, height);
|
||||
const nextRadius = nextSize * 0.35;
|
||||
return {
|
||||
size: nextSize,
|
||||
radius: nextRadius,
|
||||
innerRadius: nextRadius * 0.6,
|
||||
};
|
||||
}, [width, height]);
|
||||
|
||||
const totalValue = useMemo(
|
||||
() => visibleData.reduce((sum, slice) => sum + slice.value, 0),
|
||||
[visibleData],
|
||||
);
|
||||
|
||||
const labelColor = isDarkMode ? Color.BG_VANILLA_100 : Color.BG_INK_400;
|
||||
const activeColor = active?.color ?? null;
|
||||
|
||||
const handleSliceEnter = useCallback(
|
||||
(slice: PieSlice, centroidX: number, centroidY: number): void => {
|
||||
showTooltip({
|
||||
tooltipData: {
|
||||
label: slice.label,
|
||||
value: getYAxisFormattedValue(
|
||||
slice.value.toString(),
|
||||
yAxisUnit || 'none',
|
||||
decimalPrecision,
|
||||
),
|
||||
color: slice.color,
|
||||
},
|
||||
tooltipTop: centroidY + height / 2,
|
||||
tooltipLeft: centroidX + width / 2,
|
||||
});
|
||||
setActive(slice);
|
||||
},
|
||||
[showTooltip, setActive, yAxisUnit, decimalPrecision, height, width],
|
||||
);
|
||||
|
||||
const handleSliceLeave = useCallback((): void => {
|
||||
hideTooltip();
|
||||
setActive(null);
|
||||
}, [hideTooltip, setActive]);
|
||||
|
||||
if (!data.length) {
|
||||
return (
|
||||
<div
|
||||
ref={wrapperRef}
|
||||
className={styles.pieChartWrapper}
|
||||
data-testid={testId}
|
||||
>
|
||||
<div className={styles.pieChartNoData}>No data</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
const isRightLegend = position === LegendPosition.RIGHT;
|
||||
|
||||
return (
|
||||
<div
|
||||
ref={wrapperRef}
|
||||
className={styles.pieChartWrapper}
|
||||
style={{ flexDirection: isRightLegend ? 'row' : 'column' }}
|
||||
data-testid={testId}
|
||||
>
|
||||
<div className={styles.pieChartContainer} style={{ width, height }}>
|
||||
{size > 0 && (
|
||||
<svg width={width} height={height} ref={containerRef}>
|
||||
<Group top={height / 2} left={width / 2}>
|
||||
<VisxPie
|
||||
data={visibleData}
|
||||
pieValue={(slice: PieSlice): number => slice.value}
|
||||
outerRadius={radius}
|
||||
innerRadius={innerRadius}
|
||||
padAngle={0.01}
|
||||
cornerRadius={3}
|
||||
width={size}
|
||||
height={size}
|
||||
>
|
||||
{(pie): JSX.Element[] =>
|
||||
pie.arcs.map((arc) => (
|
||||
<PieArc
|
||||
key={`arc-${arc.data.label}-${arc.data.value}-${arc.startAngle.toFixed(
|
||||
6,
|
||||
)}`}
|
||||
slice={arc.data}
|
||||
arcPath={pie.path(arc) || ''}
|
||||
centroid={pie.path.centroid(arc)}
|
||||
startAngle={arc.startAngle}
|
||||
endAngle={arc.endAngle}
|
||||
radius={radius}
|
||||
totalValue={totalValue}
|
||||
yAxisUnit={yAxisUnit}
|
||||
decimalPrecision={decimalPrecision}
|
||||
labelColor={labelColor}
|
||||
fill={getFillColor(arc.data.color, activeColor)}
|
||||
onEnter={handleSliceEnter}
|
||||
onLeave={handleSliceLeave}
|
||||
onClick={onSliceClick}
|
||||
/>
|
||||
))
|
||||
}
|
||||
</VisxPie>
|
||||
<PieCenterLabel
|
||||
total={totalValue}
|
||||
yAxisUnit={yAxisUnit}
|
||||
decimalPrecision={decimalPrecision}
|
||||
radius={radius}
|
||||
innerRadius={innerRadius}
|
||||
color={labelColor}
|
||||
/>
|
||||
</Group>
|
||||
</svg>
|
||||
)}
|
||||
{tooltipOpen && tooltipData && (
|
||||
<TooltipInPortal
|
||||
top={tooltipTop}
|
||||
left={tooltipLeft}
|
||||
className={styles.pieChartTooltip}
|
||||
style={{
|
||||
...defaultStyles,
|
||||
color: labelColor,
|
||||
}}
|
||||
>
|
||||
<div
|
||||
className={styles.pieChartIndicator}
|
||||
style={{ background: tooltipData.color }}
|
||||
/>
|
||||
<div className={styles.pieChartTooltipContent}>
|
||||
<span>{tooltipData.label}</span>
|
||||
<span className={styles.pieChartTooltipValue}>{tooltipData.value}</span>
|
||||
</div>
|
||||
</TooltipInPortal>
|
||||
)}
|
||||
</div>
|
||||
<div
|
||||
className={styles.pieChartLegend}
|
||||
style={{
|
||||
width: legendWidth,
|
||||
height: legendHeight,
|
||||
}}
|
||||
>
|
||||
<Legend
|
||||
items={legendItems}
|
||||
position={position}
|
||||
averageLegendWidth={averageLegendWidth}
|
||||
focusedSeriesIndex={focusedSeriesIndex}
|
||||
onClick={onLegendClick}
|
||||
onMouseMove={onLegendMouseMove}
|
||||
onMouseLeave={onLegendMouseLeave}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,123 +0,0 @@
|
||||
import type { PrecisionOption } from 'components/Graph/types';
|
||||
import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
|
||||
|
||||
import { PieSlice } from '../types';
|
||||
|
||||
import { getArcGeometry } from './utils';
|
||||
|
||||
// Slices below this share of the total don't get a leader label (too cramped).
|
||||
const MIN_LABEL_SHARE = 0.03;
|
||||
const MAX_LABEL_LENGTH = 15;
|
||||
|
||||
interface PieArcProps {
|
||||
slice: PieSlice;
|
||||
/** SVG path `d` for the arc, from the visx pie generator. */
|
||||
arcPath: string;
|
||||
/** Arc centroid `[x, y]`, used to anchor the leader line and tooltip. */
|
||||
centroid: [number, number];
|
||||
startAngle: number;
|
||||
endAngle: number;
|
||||
radius: number;
|
||||
/** Sum of visible slice values — drives the show-label threshold. */
|
||||
totalValue: number;
|
||||
yAxisUnit?: string;
|
||||
decimalPrecision?: PrecisionOption;
|
||||
labelColor: string;
|
||||
/** Resolved fill (already dimmed if another slice is active). */
|
||||
fill: string;
|
||||
onEnter: (slice: PieSlice, centroidX: number, centroidY: number) => void;
|
||||
onLeave: () => void;
|
||||
onClick?: (slice: PieSlice) => void;
|
||||
}
|
||||
|
||||
/**
|
||||
* A single donut slice: the arc path plus, for non-tiny slices, a leader line
|
||||
* out to an external label + value. Pure presentation — interaction is
|
||||
* delegated to the `onEnter`/`onLeave`/`onClick` callbacks.
|
||||
*/
|
||||
export default function PieArc({
|
||||
slice,
|
||||
arcPath,
|
||||
centroid,
|
||||
startAngle,
|
||||
endAngle,
|
||||
radius,
|
||||
totalValue,
|
||||
yAxisUnit,
|
||||
decimalPrecision,
|
||||
labelColor,
|
||||
fill,
|
||||
onEnter,
|
||||
onLeave,
|
||||
onClick,
|
||||
}: PieArcProps): JSX.Element {
|
||||
const { label, value } = slice;
|
||||
const [centroidX, centroidY] = centroid;
|
||||
const { labelX, labelY, lineEndX, lineEndY, textAnchor } = getArcGeometry(
|
||||
startAngle,
|
||||
endAngle,
|
||||
radius,
|
||||
);
|
||||
|
||||
const displayValue = getYAxisFormattedValue(
|
||||
value.toString(),
|
||||
yAxisUnit || 'none',
|
||||
decimalPrecision,
|
||||
);
|
||||
const shortenedLabel =
|
||||
label.length > MAX_LABEL_LENGTH ? `${label.substring(0, 12)}...` : label;
|
||||
const shouldShowLabel = value / totalValue > MIN_LABEL_SHARE;
|
||||
|
||||
return (
|
||||
<g
|
||||
onMouseEnter={(): void => onEnter(slice, centroidX, centroidY)}
|
||||
onMouseLeave={onLeave}
|
||||
onClick={(): void => onClick?.(slice)}
|
||||
>
|
||||
<path d={arcPath} fill={fill} />
|
||||
{shouldShowLabel && (
|
||||
<>
|
||||
<line
|
||||
x1={centroidX}
|
||||
y1={centroidY}
|
||||
x2={lineEndX}
|
||||
y2={lineEndY}
|
||||
stroke={labelColor}
|
||||
strokeWidth={1}
|
||||
/>
|
||||
<line
|
||||
x1={lineEndX}
|
||||
y1={lineEndY}
|
||||
x2={labelX}
|
||||
y2={labelY}
|
||||
stroke={labelColor}
|
||||
strokeWidth={1}
|
||||
/>
|
||||
<text
|
||||
x={labelX}
|
||||
y={labelY - 8}
|
||||
dy=".33em"
|
||||
fill={labelColor}
|
||||
fontSize={10}
|
||||
textAnchor={textAnchor}
|
||||
pointerEvents="none"
|
||||
>
|
||||
{shortenedLabel}
|
||||
</text>
|
||||
<text
|
||||
x={labelX}
|
||||
y={labelY + 8}
|
||||
dy=".33em"
|
||||
fill={labelColor}
|
||||
fontSize={10}
|
||||
fontWeight="bold"
|
||||
textAnchor={textAnchor}
|
||||
pointerEvents="none"
|
||||
>
|
||||
{displayValue}
|
||||
</text>
|
||||
</>
|
||||
)}
|
||||
</g>
|
||||
);
|
||||
}
|
||||
@@ -1,57 +0,0 @@
|
||||
import type { PrecisionOption } from 'components/Graph/types';
|
||||
import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
|
||||
|
||||
import { getScaledFontSize } from './utils';
|
||||
|
||||
interface PieCenterLabelProps {
|
||||
/** Sum of the visible slice values, shown in the donut hole. */
|
||||
total: number;
|
||||
yAxisUnit?: string;
|
||||
decimalPrecision?: PrecisionOption;
|
||||
radius: number;
|
||||
innerRadius: number;
|
||||
color: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* The total shown in the centre of the donut. Splits the formatted value into
|
||||
* its numeric part and unit so each can be sized independently, and scales the
|
||||
* numeric font down for long values so it never overflows the hole.
|
||||
*/
|
||||
export default function PieCenterLabel({
|
||||
total,
|
||||
yAxisUnit,
|
||||
decimalPrecision,
|
||||
radius,
|
||||
innerRadius,
|
||||
color,
|
||||
}: PieCenterLabelProps): JSX.Element {
|
||||
const formattedTotal = getYAxisFormattedValue(
|
||||
total.toString(),
|
||||
yAxisUnit || 'none',
|
||||
decimalPrecision,
|
||||
);
|
||||
const matches = formattedTotal.match(/([\d.]+[KMB]?)(.*)$/);
|
||||
const numericTotal = matches?.[1] || formattedTotal;
|
||||
const unitTotal = matches?.[2]?.trim() || '';
|
||||
|
||||
const numericFontSize = getScaledFontSize({
|
||||
text: numericTotal,
|
||||
baseSize: radius * 0.3,
|
||||
innerRadius,
|
||||
});
|
||||
const unitFontSize = numericFontSize * 0.5;
|
||||
|
||||
return (
|
||||
<text textAnchor="middle" dominantBaseline="central" fill={color}>
|
||||
<tspan fontSize={numericFontSize} fontWeight="bold">
|
||||
{numericTotal}
|
||||
</tspan>
|
||||
{unitTotal && (
|
||||
<tspan fontSize={unitFontSize} opacity={0.9} dx={2}>
|
||||
{unitTotal}
|
||||
</tspan>
|
||||
)}
|
||||
</text>
|
||||
);
|
||||
}
|
||||
@@ -1,116 +0,0 @@
|
||||
import React from 'react';
|
||||
import { fireEvent, render, screen, within } from '@testing-library/react';
|
||||
import { TooltipProvider } from '@signozhq/ui/tooltip';
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
|
||||
import { PieSlice } from '../../types';
|
||||
import Pie from '../Pie';
|
||||
|
||||
jest.mock('hooks/useDimensions', () => ({
|
||||
useResizeObserver: jest.fn().mockReturnValue({ width: 400, height: 300 }),
|
||||
}));
|
||||
|
||||
jest.mock('components/Graph/yAxisConfig', () => ({
|
||||
getYAxisFormattedValue: jest.fn((value: string) => value),
|
||||
}));
|
||||
|
||||
// VirtuosoGrid only renders a window in jsdom; render every item so we can
|
||||
// assert on legend entries.
|
||||
jest.mock('react-virtuoso', () => ({
|
||||
VirtuosoGrid: ({
|
||||
data,
|
||||
itemContent,
|
||||
}: {
|
||||
data: LegendItem[];
|
||||
itemContent: (index: number, item: LegendItem) => React.ReactNode;
|
||||
}): JSX.Element => (
|
||||
<div data-testid="virtuoso-grid">
|
||||
{data.map((item, index) => (
|
||||
<div key={item.seriesIndex ?? index}>{itemContent(index, item)}</div>
|
||||
))}
|
||||
</div>
|
||||
),
|
||||
}));
|
||||
|
||||
const DATA: PieSlice[] = [
|
||||
{ label: 'frontend', value: 100, color: '#aa0000' },
|
||||
{ label: 'cart', value: 60, color: '#00aa00' },
|
||||
{ label: 'checkout', value: 40, color: '#0000aa' },
|
||||
];
|
||||
|
||||
function renderPie(
|
||||
props: Partial<React.ComponentProps<typeof Pie>> = {},
|
||||
): void {
|
||||
render(
|
||||
<TooltipProvider>
|
||||
<Pie data={DATA} isDarkMode={false} data-testid="pie" {...props} />
|
||||
</TooltipProvider>,
|
||||
);
|
||||
}
|
||||
|
||||
describe('Pie', () => {
|
||||
it('renders the "No data" state for empty data', () => {
|
||||
render(
|
||||
<TooltipProvider>
|
||||
<Pie data={[]} isDarkMode={false} data-testid="pie" />
|
||||
</TooltipProvider>,
|
||||
);
|
||||
expect(screen.getByText('No data')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('renders one arc per slice plus the legend entries and centre total', () => {
|
||||
renderPie();
|
||||
|
||||
const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
|
||||
expect(svg.querySelectorAll('path')).toHaveLength(DATA.length);
|
||||
|
||||
const legend = screen.getByTestId('virtuoso-grid');
|
||||
expect(within(legend).getByText('frontend')).toBeInTheDocument();
|
||||
expect(within(legend).getByText('cart')).toBeInTheDocument();
|
||||
expect(within(legend).getByText('checkout')).toBeInTheDocument();
|
||||
|
||||
// Centre total = 100 + 60 + 40 (formatter mocked to echo the value).
|
||||
expect(screen.getByText('200')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('lays the legend out in a row for the right position and a column for bottom', () => {
|
||||
const { rerender } = render(
|
||||
<TooltipProvider>
|
||||
<Pie
|
||||
data={DATA}
|
||||
isDarkMode={false}
|
||||
position={LegendPosition.RIGHT}
|
||||
data-testid="pie"
|
||||
/>
|
||||
</TooltipProvider>,
|
||||
);
|
||||
expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'row' });
|
||||
|
||||
rerender(
|
||||
<TooltipProvider>
|
||||
<Pie
|
||||
data={DATA}
|
||||
isDarkMode={false}
|
||||
position={LegendPosition.BOTTOM}
|
||||
data-testid="pie"
|
||||
/>
|
||||
</TooltipProvider>,
|
||||
);
|
||||
expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'column' });
|
||||
});
|
||||
|
||||
it('hides a slice when its legend marker is clicked', () => {
|
||||
renderPie();
|
||||
const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
|
||||
expect(svg.querySelectorAll('path')).toHaveLength(3);
|
||||
|
||||
const marker = document.querySelector(
|
||||
'[data-legend-item-id="1"] [data-is-legend-marker="true"]',
|
||||
) as HTMLElement;
|
||||
fireEvent.click(marker);
|
||||
|
||||
// One slice hidden → one fewer arc drawn.
|
||||
expect(svg.querySelectorAll('path')).toHaveLength(2);
|
||||
});
|
||||
});
|
||||
@@ -1,85 +0,0 @@
|
||||
import { fireEvent, render, screen } from '@testing-library/react';
|
||||
|
||||
import { PieSlice } from '../../types';
|
||||
import PieArc from '../PieArc';
|
||||
|
||||
jest.mock('components/Graph/yAxisConfig', () => ({
|
||||
// Echo the raw value so assertions are deterministic.
|
||||
getYAxisFormattedValue: jest.fn((value: string) => value),
|
||||
}));
|
||||
|
||||
const SLICE: PieSlice = { label: 'frontend', value: 50, color: '#f00' };
|
||||
|
||||
function renderArc(props: Partial<React.ComponentProps<typeof PieArc>> = {}): {
|
||||
onEnter: jest.Mock;
|
||||
onLeave: jest.Mock;
|
||||
onClick: jest.Mock;
|
||||
container: HTMLElement;
|
||||
} {
|
||||
const onEnter = jest.fn();
|
||||
const onLeave = jest.fn();
|
||||
const onClick = jest.fn();
|
||||
const { container } = render(
|
||||
<svg>
|
||||
<PieArc
|
||||
slice={SLICE}
|
||||
arcPath="M0,0L1,1"
|
||||
centroid={[10, 20]}
|
||||
startAngle={0}
|
||||
endAngle={Math.PI}
|
||||
radius={100}
|
||||
totalValue={100}
|
||||
labelColor="#fff"
|
||||
fill="#f00"
|
||||
onEnter={onEnter}
|
||||
onLeave={onLeave}
|
||||
onClick={onClick}
|
||||
{...props}
|
||||
/>
|
||||
</svg>,
|
||||
);
|
||||
return { onEnter, onLeave, onClick, container };
|
||||
}
|
||||
|
||||
describe('PieArc', () => {
|
||||
it('renders the arc path with the resolved fill', () => {
|
||||
const { container } = renderArc();
|
||||
const path = container.querySelector('path');
|
||||
expect(path).toHaveAttribute('d', 'M0,0L1,1');
|
||||
expect(path).toHaveAttribute('fill', '#f00');
|
||||
});
|
||||
|
||||
it('shows the leader label + value for a slice above the threshold', () => {
|
||||
renderArc(); // 50 / 100 = 0.5
|
||||
expect(screen.getByText('frontend')).toBeInTheDocument();
|
||||
expect(screen.getByText('50')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('hides the leader label for a slice below the 3% threshold', () => {
|
||||
renderArc({ totalValue: 10000 }); // 50 / 10000 = 0.005
|
||||
expect(screen.queryByText('frontend')).not.toBeInTheDocument();
|
||||
// the arc path itself still renders
|
||||
expect(screen.queryByText('50')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('truncates labels longer than 15 chars', () => {
|
||||
renderArc({
|
||||
slice: { label: 'a-really-long-service-name', value: 50, color: '#f00' },
|
||||
});
|
||||
expect(screen.getByText('a-really-lon...')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('fires onEnter with the slice + centroid, and onLeave / onClick', () => {
|
||||
const { onEnter, onLeave, onClick, container } = renderArc();
|
||||
const g = container.querySelector('g') as SVGGElement;
|
||||
|
||||
fireEvent.mouseEnter(g);
|
||||
expect(onEnter).toHaveBeenCalledWith(SLICE, 10, 20);
|
||||
|
||||
fireEvent.mouseLeave(g);
|
||||
expect(onLeave).toHaveBeenCalledTimes(1);
|
||||
|
||||
fireEvent.click(g);
|
||||
expect(onClick).toHaveBeenCalledWith(SLICE);
|
||||
});
|
||||
});
|
||||
@@ -1,45 +0,0 @@
|
||||
import { render, screen } from '@testing-library/react';
|
||||
import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
|
||||
|
||||
import PieCenterLabel from '../PieCenterLabel';
|
||||
|
||||
jest.mock('components/Graph/yAxisConfig', () => ({
|
||||
getYAxisFormattedValue: jest.fn(),
|
||||
}));
|
||||
|
||||
const mockFormat = getYAxisFormattedValue as jest.MockedFunction<
|
||||
typeof getYAxisFormattedValue
|
||||
>;
|
||||
|
||||
function renderInSvg(node: JSX.Element): ReturnType<typeof render> {
|
||||
// PieCenterLabel returns an SVG <text>, so it needs an <svg> host.
|
||||
return render(<svg>{node}</svg>);
|
||||
}
|
||||
|
||||
describe('PieCenterLabel', () => {
|
||||
const baseProps = {
|
||||
total: 3700,
|
||||
radius: 100,
|
||||
innerRadius: 60,
|
||||
color: '#fff',
|
||||
};
|
||||
|
||||
it('renders the formatted total (numeric + unit suffix) as one numeric tspan when there is no separate unit', () => {
|
||||
mockFormat.mockReturnValue('3.7K');
|
||||
renderInSvg(<PieCenterLabel {...baseProps} />);
|
||||
expect(screen.getByText('3.7K')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('splits the numeric part and the trailing unit into separate tspans', () => {
|
||||
mockFormat.mockReturnValue('1.2 MB');
|
||||
renderInSvg(<PieCenterLabel {...baseProps} />);
|
||||
expect(screen.getByText('1.2')).toBeInTheDocument();
|
||||
expect(screen.getByText('MB')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('passes the unit + precision through to the formatter', () => {
|
||||
mockFormat.mockReturnValue('100');
|
||||
renderInSvg(<PieCenterLabel {...baseProps} total={100} yAxisUnit="bytes" />);
|
||||
expect(mockFormat).toHaveBeenCalledWith('100', 'bytes', undefined);
|
||||
});
|
||||
});
|
||||
@@ -1,101 +0,0 @@
|
||||
import {
|
||||
getArcGeometry,
|
||||
getFillColor,
|
||||
getScaledFontSize,
|
||||
lightenColor,
|
||||
} from '../utils';
|
||||
|
||||
describe('Pie utils', () => {
|
||||
describe('getScaledFontSize', () => {
|
||||
it('returns the base size for empty text', () => {
|
||||
expect(getScaledFontSize({ text: '', baseSize: 30, innerRadius: 100 })).toBe(
|
||||
30,
|
||||
);
|
||||
});
|
||||
|
||||
it('does not scale short text (length <= 3)', () => {
|
||||
// scaleFactor = max(0.3, 1) = 1 → baseSize, capped by innerRadius * 0.9.
|
||||
expect(
|
||||
getScaledFontSize({ text: '3.7', baseSize: 30, innerRadius: 100 }),
|
||||
).toBe(30);
|
||||
});
|
||||
|
||||
it('scales longer text down', () => {
|
||||
// length 8 → scaleFactor = max(0.3, 1 - 5 * 0.09) = 0.55 → 30 * 0.55.
|
||||
expect(
|
||||
getScaledFontSize({ text: '12345678', baseSize: 30, innerRadius: 100 }),
|
||||
).toBeCloseTo(16.5);
|
||||
});
|
||||
|
||||
it('floors the scale factor at 0.3 for very long text', () => {
|
||||
// length 20 → 1 - 17 * 0.09 < 0.3 → floored to 0.3 → 100 * 0.3.
|
||||
expect(
|
||||
getScaledFontSize({
|
||||
text: '12345678901234567890',
|
||||
baseSize: 100,
|
||||
innerRadius: 1000,
|
||||
}),
|
||||
).toBeCloseTo(30);
|
||||
});
|
||||
|
||||
it('caps the size at 90% of the inner radius', () => {
|
||||
expect(
|
||||
getScaledFontSize({ text: '3.7', baseSize: 200, innerRadius: 10 }),
|
||||
).toBeCloseTo(9);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getArcGeometry', () => {
|
||||
it('places the label below for a slice centred at the top (angle 0)', () => {
|
||||
const g = getArcGeometry(0, 0, 100);
|
||||
expect(g.labelX).toBeCloseTo(0);
|
||||
expect(g.labelY).toBeCloseTo(-130);
|
||||
expect(g.lineEndX).toBeCloseTo(0);
|
||||
expect(g.lineEndY).toBeCloseTo(-110);
|
||||
// sin(0) is not > 0 → anchor end.
|
||||
expect(g.textAnchor).toBe('end');
|
||||
});
|
||||
|
||||
it('anchors to the start on the right half (angle pi/2)', () => {
|
||||
const g = getArcGeometry(0, Math.PI, 100);
|
||||
expect(g.labelX).toBeCloseTo(130);
|
||||
expect(g.labelY).toBeCloseTo(0);
|
||||
expect(g.textAnchor).toBe('start');
|
||||
});
|
||||
|
||||
it('anchors to the end on the left half (angle 3pi/2)', () => {
|
||||
const g = getArcGeometry(Math.PI, 2 * Math.PI, 100);
|
||||
expect(g.labelX).toBeCloseTo(-130);
|
||||
expect(g.textAnchor).toBe('end');
|
||||
});
|
||||
});
|
||||
|
||||
describe('lightenColor', () => {
|
||||
it('converts a #rrggbb hex to rgba at the given opacity', () => {
|
||||
expect(lightenColor('#ff0000', 0.4)).toBe('rgba(255, 0, 0, 0.4)');
|
||||
});
|
||||
|
||||
it('accepts hex without a leading #', () => {
|
||||
expect(lightenColor('00ff00', 0.4)).toBe('rgba(0, 255, 0, 0.4)');
|
||||
});
|
||||
|
||||
it('returns the original colour when it is not parseable hex', () => {
|
||||
expect(lightenColor('rgba(0,0,0,1)', 0.4)).toBe('rgba(0,0,0,1)');
|
||||
expect(lightenColor('red', 0.4)).toBe('red');
|
||||
});
|
||||
});
|
||||
|
||||
describe('getFillColor', () => {
|
||||
it('returns the colour unchanged when nothing is active', () => {
|
||||
expect(getFillColor('#ff0000', null)).toBe('#ff0000');
|
||||
});
|
||||
|
||||
it('returns the colour unchanged for the active slice', () => {
|
||||
expect(getFillColor('#ff0000', '#ff0000')).toBe('#ff0000');
|
||||
});
|
||||
|
||||
it('dims non-active slices to 40% opacity', () => {
|
||||
expect(getFillColor('#00ff00', '#ff0000')).toBe('rgba(0, 255, 0, 0.4)');
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -1,35 +0,0 @@
|
||||
/**
|
||||
* Pie-local types. Kept out of the component / util files so each stays focused
|
||||
* (per the one-component-per-file + dedicated-types rules). Shared chart types
|
||||
* (PieSlice, PieChartProps) live in the parent charts/types.ts.
|
||||
*/
|
||||
|
||||
export interface ScaledFontSizeArgs {
|
||||
text: string;
|
||||
baseSize: number;
|
||||
innerRadius: number;
|
||||
}
|
||||
|
||||
export interface ArcGeometry {
|
||||
/** Outer point where the leader label sits. */
|
||||
labelX: number;
|
||||
labelY: number;
|
||||
/** Elbow point where the leader line bends toward the label. */
|
||||
lineEndX: number;
|
||||
lineEndY: number;
|
||||
/** Anchor the label left/right depending on which half of the circle it's in. */
|
||||
textAnchor: 'start' | 'end';
|
||||
}
|
||||
|
||||
export interface ParsedRgb {
|
||||
r: number;
|
||||
g: number;
|
||||
b: number;
|
||||
}
|
||||
|
||||
/** Resolved tooltip payload shown when a slice is hovered. */
|
||||
export interface PieTooltipData {
|
||||
label: string;
|
||||
value: string;
|
||||
color: string;
|
||||
}
|
||||
@@ -1,89 +0,0 @@
|
||||
/**
|
||||
* Pure presentation helpers for the Pie chart. Kept out of the component file
|
||||
* so the renderer stays declarative (per the one-component-per-file rule).
|
||||
*/
|
||||
|
||||
import { ArcGeometry, ParsedRgb, ScaledFontSizeArgs } from './types';
|
||||
|
||||
/**
|
||||
* Shrinks the centre-total font as the text gets longer so it never overflows
|
||||
* the donut hole. Ported from the V1 PiePanelWrapper.
|
||||
*/
|
||||
export function getScaledFontSize({
|
||||
text,
|
||||
baseSize,
|
||||
innerRadius,
|
||||
}: ScaledFontSizeArgs): number {
|
||||
if (!text) {
|
||||
return baseSize;
|
||||
}
|
||||
|
||||
const { length } = text;
|
||||
// More aggressive scaling for very long numbers.
|
||||
const scaleFactor = Math.max(0.3, 1 - (length - 3) * 0.09);
|
||||
// Don't use more than 90% of the inner radius.
|
||||
const maxSize = innerRadius * 0.9;
|
||||
|
||||
return Math.min(baseSize * scaleFactor, maxSize);
|
||||
}
|
||||
|
||||
/**
|
||||
* Computes the leader-line / label geometry for one arc from its angular span.
|
||||
* Pulled out of the render prop so the SVG markup stays declarative.
|
||||
*/
|
||||
export function getArcGeometry(
|
||||
startAngle: number,
|
||||
endAngle: number,
|
||||
radius: number,
|
||||
): ArcGeometry {
|
||||
const angle = (startAngle + endAngle) / 2;
|
||||
const labelRadius = radius * 1.3;
|
||||
const lineEndRadius = radius * 1.1;
|
||||
return {
|
||||
labelX: Math.sin(angle) * labelRadius,
|
||||
labelY: -Math.cos(angle) * labelRadius,
|
||||
lineEndX: Math.sin(angle) * lineEndRadius,
|
||||
lineEndY: -Math.cos(angle) * lineEndRadius,
|
||||
textAnchor: Math.sin(angle) > 0 ? 'start' : 'end',
|
||||
};
|
||||
}
|
||||
|
||||
// Parses `#rrggbb` into its components. Returns null for anything else (e.g. an
|
||||
// already-rgba string), letting callers fall back to the original colour.
|
||||
function hexToRgb(color: string): ParsedRgb | null {
|
||||
const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(color);
|
||||
return result
|
||||
? {
|
||||
r: parseInt(result[1], 16),
|
||||
g: parseInt(result[2], 16),
|
||||
b: parseInt(result[3], 16),
|
||||
}
|
||||
: null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns an rgba() string for `color` at the given opacity. Used to dim the
|
||||
* non-hovered slices. Falls back to the original colour if it can't be parsed.
|
||||
*/
|
||||
export function lightenColor(color: string, opacity: number): string {
|
||||
const rgb = hexToRgb(color);
|
||||
if (!rgb) {
|
||||
return color;
|
||||
}
|
||||
return `rgba(${rgb.r}, ${rgb.g}, ${rgb.b}, ${opacity})`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolves the fill for a slice given the currently-hovered slice colour:
|
||||
* everything but the active slice dims to 40% opacity. With nothing hovered
|
||||
* (`activeColor === null`) every slice keeps its full colour.
|
||||
*/
|
||||
export function getFillColor(
|
||||
color: string,
|
||||
activeColor: string | null,
|
||||
): string {
|
||||
if (activeColor === null) {
|
||||
return color;
|
||||
}
|
||||
return activeColor === color ? color : lightenColor(color, 0.4);
|
||||
}
|
||||
@@ -3,14 +3,13 @@ import { PrecisionOption } from 'components/Graph/types';
|
||||
import {
|
||||
IRenderTooltipFooterArgs,
|
||||
LegendConfig,
|
||||
LegendPosition,
|
||||
TooltipRenderArgs,
|
||||
} from 'lib/uPlotV2/components/types';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import {
|
||||
DashboardCursorSync,
|
||||
SyncTooltipFilterMode,
|
||||
ChartClickData,
|
||||
TooltipClickData,
|
||||
} from 'lib/uPlotV2/plugins/TooltipPlugin/types';
|
||||
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
|
||||
|
||||
@@ -23,10 +22,10 @@ interface BaseChartProps {
|
||||
/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
|
||||
pinKey?: string;
|
||||
/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
|
||||
onClick?: (clickData: ChartClickData) => void;
|
||||
onClick?: (clickData: TooltipClickData) => void;
|
||||
yAxisUnit?: string;
|
||||
decimalPrecision?: PrecisionOption;
|
||||
pinnedTooltipElement?: (clickData: ChartClickData) => React.ReactNode;
|
||||
pinnedTooltipElement?: (clickData: TooltipClickData) => React.ReactNode;
|
||||
renderTooltipFooter?: (args: IRenderTooltipFooterArgs) => React.ReactNode;
|
||||
customTooltip?: (props: TooltipRenderArgs) => React.ReactNode;
|
||||
'data-testid'?: string;
|
||||
@@ -70,36 +69,3 @@ export type ChartProps =
|
||||
| TimeSeriesChartProps
|
||||
| BarChartProps
|
||||
| HistogramChartProps;
|
||||
|
||||
/**
|
||||
* One resolved pie/donut slice: a display label, its (already parsed) positive
|
||||
* numeric value, and the colour used for the arc + legend swatch.
|
||||
*/
|
||||
export interface PieSlice {
|
||||
label: string;
|
||||
value: number;
|
||||
color: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Props for the Pie chart. Unlike the others above, Pie is NOT uPlot-based
|
||||
* (it renders with @visx), so it deliberately does not extend BaseChartProps /
|
||||
* UPlotBasedChartProps — it takes pre-resolved slices and self-measures its
|
||||
* draw area rather than receiving a uPlot config + aligned data.
|
||||
*/
|
||||
export interface PieChartProps {
|
||||
data: PieSlice[];
|
||||
yAxisUnit?: string;
|
||||
decimalPrecision?: PrecisionOption;
|
||||
isDarkMode: boolean;
|
||||
/** Legend placement. Drives the chart-vs-legend layout. Default BOTTOM. */
|
||||
position?: LegendPosition;
|
||||
/**
|
||||
* Widget id used to persist per-slice hide/unhide state to localStorage
|
||||
* (shared GRAPH_VISIBILITY_STATES, keyed by label). Omit to disable persistence.
|
||||
*/
|
||||
id?: string;
|
||||
/** Fired when a slice (or its legend entry) is clicked. */
|
||||
onSliceClick?: (slice: PieSlice) => void;
|
||||
'data-testid'?: string;
|
||||
}
|
||||
|
||||
@@ -1,147 +0,0 @@
|
||||
import { act, renderHook } from '@testing-library/react';
|
||||
import {
|
||||
getStoredSeriesVisibility,
|
||||
updateSeriesVisibilityToLocalStorage,
|
||||
} from 'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils';
|
||||
import type { MouseEvent } from 'react';
|
||||
|
||||
import { PieSlice } from '../../charts/types';
|
||||
import { usePieInteractions } from '../usePieInteractions';
|
||||
|
||||
jest.mock(
|
||||
'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
|
||||
);
|
||||
|
||||
const mockGetStored = getStoredSeriesVisibility as jest.MockedFunction<
|
||||
typeof getStoredSeriesVisibility
|
||||
>;
|
||||
const mockUpdateStored =
|
||||
updateSeriesVisibilityToLocalStorage as jest.MockedFunction<
|
||||
typeof updateSeriesVisibilityToLocalStorage
|
||||
>;
|
||||
|
||||
const DATA: PieSlice[] = [
|
||||
{ label: 'frontend', value: 100, color: '#a' },
|
||||
{ label: 'cart', value: 60, color: '#b' },
|
||||
{ label: 'checkout', value: 40, color: '#c' },
|
||||
];
|
||||
|
||||
// Builds a fake legend click/move event: `e.target.closest('[data-legend-item-id]')`
|
||||
// resolves to the item at `index`, and `e.target.dataset.isLegendMarker` flags marker clicks.
|
||||
function legendEvent(
|
||||
index: number | null,
|
||||
isMarker = false,
|
||||
): MouseEvent<HTMLDivElement> {
|
||||
const itemEl =
|
||||
index == null ? null : { dataset: { legendItemId: String(index) } };
|
||||
return {
|
||||
target: {
|
||||
closest: (): unknown => itemEl,
|
||||
dataset: { isLegendMarker: isMarker ? 'true' : undefined },
|
||||
},
|
||||
} as unknown as MouseEvent<HTMLDivElement>;
|
||||
}
|
||||
|
||||
describe('usePieInteractions', () => {
|
||||
beforeEach(() => {
|
||||
mockGetStored.mockReturnValue(null);
|
||||
mockUpdateStored.mockReset();
|
||||
});
|
||||
|
||||
it('starts with everything visible and nothing focused', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual(DATA);
|
||||
expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
|
||||
true,
|
||||
true,
|
||||
true,
|
||||
]);
|
||||
expect(result.current.focusedSeriesIndex).toBeNull();
|
||||
expect(result.current.active).toBeNull();
|
||||
});
|
||||
|
||||
describe('marker click (toggle one)', () => {
|
||||
it('hides then unhides the clicked slice', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
|
||||
|
||||
act(() => result.current.onLegendClick(legendEvent(1, true)));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
|
||||
expect(result.current.legendItems[1].show).toBe(false);
|
||||
expect(mockUpdateStored).toHaveBeenLastCalledWith('panel-1', [
|
||||
{ label: 'frontend', show: true },
|
||||
{ label: 'cart', show: false },
|
||||
{ label: 'checkout', show: true },
|
||||
]);
|
||||
|
||||
act(() => result.current.onLegendClick(legendEvent(1, true)));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual(DATA);
|
||||
expect(result.current.legendItems[1].show).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('label click (isolate / reset)', () => {
|
||||
it('isolates the clicked slice, then resets on a second click', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA));
|
||||
|
||||
act(() => result.current.onLegendClick(legendEvent(0, false)));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual([DATA[0]]);
|
||||
expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
|
||||
true,
|
||||
false,
|
||||
false,
|
||||
]);
|
||||
|
||||
act(() => result.current.onLegendClick(legendEvent(0, false)));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual(DATA);
|
||||
});
|
||||
});
|
||||
|
||||
describe('hover', () => {
|
||||
it('focuses the hovered slice and clears on leave', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA));
|
||||
|
||||
act(() => result.current.onLegendMouseMove(legendEvent(2)));
|
||||
expect(result.current.active).toStrictEqual(DATA[2]);
|
||||
expect(result.current.focusedSeriesIndex).toBe(2);
|
||||
|
||||
act(() => result.current.onLegendMouseLeave());
|
||||
expect(result.current.active).toBeNull();
|
||||
expect(result.current.focusedSeriesIndex).toBeNull();
|
||||
});
|
||||
|
||||
it('does not focus a hidden slice', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA));
|
||||
|
||||
act(() => result.current.onLegendClick(legendEvent(1, true))); // hide cart
|
||||
act(() => result.current.onLegendMouseMove(legendEvent(1)));
|
||||
|
||||
expect(result.current.active).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('persistence', () => {
|
||||
it('does not write to storage when no id is provided', () => {
|
||||
const { result } = renderHook(() => usePieInteractions(DATA));
|
||||
act(() => result.current.onLegendClick(legendEvent(0, true)));
|
||||
expect(mockUpdateStored).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('rehydrates hidden slices from storage on mount (matched by label)', () => {
|
||||
mockGetStored.mockReturnValue([
|
||||
{ label: 'frontend', show: true },
|
||||
{ label: 'cart', show: false },
|
||||
{ label: 'checkout', show: true },
|
||||
]);
|
||||
|
||||
const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
|
||||
|
||||
expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
|
||||
expect(result.current.legendItems[1].show).toBe(false);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -1,168 +0,0 @@
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import type { Dispatch, MouseEvent, SetStateAction } from 'react';
|
||||
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
|
||||
|
||||
import {
|
||||
getStoredSeriesVisibility,
|
||||
updateSeriesVisibilityToLocalStorage,
|
||||
} from '../panels/utils/legendVisibilityUtils';
|
||||
import { PieSlice } from '../charts/types';
|
||||
|
||||
export interface UsePieInteractionsResult {
|
||||
/** The hovered/focused slice (drives donut dimming + tooltip). */
|
||||
active: PieSlice | null;
|
||||
setActive: Dispatch<SetStateAction<PieSlice | null>>;
|
||||
/** Slices currently shown (hidden ones removed). */
|
||||
visibleData: PieSlice[];
|
||||
/** Legend item per slice (`show` reflects hide state). */
|
||||
legendItems: LegendItem[];
|
||||
/** Index of the active slice for the legend's focus highlight, or null. */
|
||||
focusedSeriesIndex: number | null;
|
||||
onLegendClick: (e: MouseEvent<HTMLDivElement>) => void;
|
||||
onLegendMouseMove: (e: MouseEvent<HTMLDivElement>) => void;
|
||||
onLegendMouseLeave: () => void;
|
||||
}
|
||||
|
||||
// Reads the slice index off the nearest `[data-legend-item-id]` ancestor of the
|
||||
// event target (the shared Legend tags each item with its seriesIndex).
|
||||
function getLegendIndex(e: MouseEvent<HTMLDivElement>): number | null {
|
||||
const el = (e.target as HTMLElement | null)?.closest<HTMLElement>(
|
||||
'[data-legend-item-id]',
|
||||
);
|
||||
const id = el?.dataset.legendItemId;
|
||||
return id != null ? Number(id) : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Pie interaction + derived state: hover/focus, slice hide/unhide (mirroring the
|
||||
* uPlot legend — marker toggles one, label isolates), and persistence of the
|
||||
* hidden set to localStorage (keyed by `id`, matched by label) so it survives
|
||||
* reloads. Returns the visible slices, legend items, focus index, and the
|
||||
* legend container handlers.
|
||||
*/
|
||||
export function usePieInteractions(
|
||||
data: PieSlice[],
|
||||
id?: string,
|
||||
): UsePieInteractionsResult {
|
||||
const [active, setActive] = useState<PieSlice | null>(null);
|
||||
const [hiddenIndices, setHiddenIndices] = useState<Set<number>>(
|
||||
() => new Set(),
|
||||
);
|
||||
const isolatedIndexRef = useRef<number | null>(null);
|
||||
|
||||
const legendItems = useMemo<LegendItem[]>(
|
||||
() =>
|
||||
data.map((slice, index) => ({
|
||||
seriesIndex: index,
|
||||
label: slice.label,
|
||||
color: slice.color,
|
||||
show: !hiddenIndices.has(index),
|
||||
})),
|
||||
[data, hiddenIndices],
|
||||
);
|
||||
|
||||
// Hidden slices drop out so the remaining arcs + centre total recompute.
|
||||
const visibleData = useMemo(
|
||||
() => data.filter((_, index) => !hiddenIndices.has(index)),
|
||||
[data, hiddenIndices],
|
||||
);
|
||||
|
||||
// Rehydrate hide/unhide from localStorage (matched by label) whenever the
|
||||
// data set changes — including first load and every refetch, since the store
|
||||
// is the source of truth and toggles write back to it.
|
||||
useEffect(() => {
|
||||
if (!id || !data.length) {
|
||||
return;
|
||||
}
|
||||
const stored = getStoredSeriesVisibility(id);
|
||||
if (!stored) {
|
||||
return;
|
||||
}
|
||||
const hidden = new Set<number>();
|
||||
data.forEach((slice, index) => {
|
||||
if (stored.find((s) => s.label === slice.label)?.show === false) {
|
||||
hidden.add(index);
|
||||
}
|
||||
});
|
||||
setHiddenIndices(hidden);
|
||||
}, [id, data]);
|
||||
|
||||
// Apply a new hidden set and persist it (label + show) to localStorage.
|
||||
const applyHidden = useCallback(
|
||||
(hidden: Set<number>): void => {
|
||||
setHiddenIndices(hidden);
|
||||
if (id) {
|
||||
updateSeriesVisibilityToLocalStorage(
|
||||
id,
|
||||
data.map((slice, index) => ({
|
||||
label: slice.label,
|
||||
show: !hidden.has(index),
|
||||
})),
|
||||
);
|
||||
}
|
||||
},
|
||||
[id, data],
|
||||
);
|
||||
|
||||
const onLegendMouseMove = useCallback(
|
||||
(e: MouseEvent<HTMLDivElement>): void => {
|
||||
const index = getLegendIndex(e);
|
||||
// Don't focus/dim for hidden slices — they aren't on the donut.
|
||||
setActive(index != null && !hiddenIndices.has(index) ? data[index] : null);
|
||||
},
|
||||
[data, hiddenIndices],
|
||||
);
|
||||
|
||||
// Marker click toggles just that slice on/off; label click isolates it
|
||||
// (clicking the isolated one again resets to all) — mirrors the uPlot legend.
|
||||
const onLegendClick = useCallback(
|
||||
(e: MouseEvent<HTMLDivElement>): void => {
|
||||
const index = getLegendIndex(e);
|
||||
if (index == null) {
|
||||
return;
|
||||
}
|
||||
const isMarker = (e.target as HTMLElement).dataset.isLegendMarker;
|
||||
|
||||
if (isMarker) {
|
||||
const next = new Set(hiddenIndices);
|
||||
if (next.has(index)) {
|
||||
next.delete(index);
|
||||
} else {
|
||||
next.add(index);
|
||||
}
|
||||
applyHidden(next);
|
||||
return;
|
||||
}
|
||||
|
||||
const isReset = isolatedIndexRef.current === index;
|
||||
isolatedIndexRef.current = isReset ? null : index;
|
||||
if (isReset) {
|
||||
applyHidden(new Set());
|
||||
return;
|
||||
}
|
||||
const next = new Set<number>();
|
||||
data.forEach((_, i) => {
|
||||
if (i !== index) {
|
||||
next.add(i);
|
||||
}
|
||||
});
|
||||
applyHidden(next);
|
||||
},
|
||||
[data, hiddenIndices, applyHidden],
|
||||
);
|
||||
|
||||
const onLegendMouseLeave = useCallback((): void => setActive(null), []);
|
||||
|
||||
const focusedIndex = active ? data.indexOf(active) : -1;
|
||||
|
||||
return {
|
||||
active,
|
||||
setActive,
|
||||
visibleData,
|
||||
legendItems,
|
||||
focusedSeriesIndex: focusedIndex >= 0 ? focusedIndex : null,
|
||||
onLegendClick,
|
||||
onLegendMouseMove,
|
||||
onLegendMouseLeave,
|
||||
};
|
||||
}
|
||||
@@ -96,28 +96,14 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
|
||||
return undefined;
|
||||
}
|
||||
|
||||
const {
|
||||
domainToAdminEmailList,
|
||||
allowedGroups,
|
||||
serviceAccountJson,
|
||||
domainToAdminEmail: _domainToAdminEmail,
|
||||
fetchTransitiveGroupMembership,
|
||||
...rest
|
||||
} = config;
|
||||
const { domainToAdminEmailList, ...rest } = config;
|
||||
const domainToAdminEmail = convertDomainMappingsToRecord(
|
||||
domainToAdminEmailList,
|
||||
);
|
||||
|
||||
return {
|
||||
...rest,
|
||||
...(rest.fetchGroups
|
||||
? {
|
||||
allowedGroups,
|
||||
serviceAccountJson,
|
||||
domainToAdminEmail: domainToAdminEmail ?? {},
|
||||
fetchTransitiveGroupMembership,
|
||||
}
|
||||
: { domainToAdminEmail: {} }),
|
||||
domainToAdminEmail: domainToAdminEmail ?? {},
|
||||
};
|
||||
}, [form]);
|
||||
|
||||
@@ -143,7 +129,7 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
|
||||
|
||||
return {
|
||||
...rest,
|
||||
groupMappings: rest.useRoleAttribute ? undefined : (groupMappings ?? {}),
|
||||
groupMappings: groupMappings ?? {},
|
||||
};
|
||||
}, [form]);
|
||||
|
||||
|
||||
@@ -1,195 +0,0 @@
|
||||
import { fireEvent, render, screen, waitFor } from 'tests/test-utils';
|
||||
import { rest, server } from 'mocks-server/server';
|
||||
import { AuthtypesGettableAuthDomainDTO } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import CreateEdit from '../CreateEdit/CreateEdit';
|
||||
import {
|
||||
AUTH_DOMAINS_UPDATE_ENDPOINT,
|
||||
mockDomainWithRoleMapping,
|
||||
mockGoogleAuthDomain,
|
||||
mockGoogleAuthWithWorkspaceGroups,
|
||||
mockOidcWithClaimMapping,
|
||||
mockSamlWithAttributeMapping,
|
||||
mockUpdateSuccessResponse,
|
||||
} from './mocks';
|
||||
|
||||
// @signozhq/ui/button internal effects block form.validateFields() in tests
|
||||
jest.mock('@signozhq/ui/button', () => ({
|
||||
...jest.requireActual('@signozhq/ui/button'),
|
||||
Button: ({
|
||||
children,
|
||||
onClick,
|
||||
loading,
|
||||
disabled,
|
||||
'aria-label': ariaLabel,
|
||||
prefix,
|
||||
suffix,
|
||||
}: {
|
||||
children?: React.ReactNode;
|
||||
onClick?: React.MouseEventHandler<HTMLButtonElement>;
|
||||
loading?: boolean;
|
||||
disabled?: boolean;
|
||||
'aria-label'?: string;
|
||||
prefix?: React.ReactNode;
|
||||
suffix?: React.ReactNode;
|
||||
}) => (
|
||||
<button
|
||||
type="button"
|
||||
onClick={onClick}
|
||||
disabled={disabled || loading}
|
||||
aria-label={ariaLabel}
|
||||
>
|
||||
{prefix}
|
||||
{children}
|
||||
{suffix}
|
||||
</button>
|
||||
),
|
||||
}));
|
||||
|
||||
type SavedPayload = {
|
||||
config: {
|
||||
googleAuthConfig?: Record<string, unknown>;
|
||||
samlConfig?: Record<string, unknown>;
|
||||
oidcConfig?: Record<string, unknown>;
|
||||
roleMapping?: Record<string, unknown>;
|
||||
};
|
||||
};
|
||||
|
||||
async function submitForm(
|
||||
record: AuthtypesGettableAuthDomainDTO,
|
||||
): Promise<SavedPayload> {
|
||||
const requests: SavedPayload[] = [];
|
||||
|
||||
server.use(
|
||||
rest.put(AUTH_DOMAINS_UPDATE_ENDPOINT, async (req, res, ctx) => {
|
||||
requests.push((await req.json()) as SavedPayload);
|
||||
return res(ctx.status(200), ctx.json(mockUpdateSuccessResponse));
|
||||
}),
|
||||
);
|
||||
|
||||
render(<CreateEdit isCreate={false} record={record} onClose={jest.fn()} />);
|
||||
fireEvent.click(screen.getByRole('button', { name: /save changes/i }));
|
||||
await waitFor(() => expect(requests).toHaveLength(1));
|
||||
|
||||
return requests[0];
|
||||
}
|
||||
|
||||
describe('CreateEdit — payload sanitization', () => {
|
||||
afterEach(() => server.resetHandlers());
|
||||
|
||||
describe('Google Auth', () => {
|
||||
it('sends core fields and omits workspace fields when fetchGroups is not set', async () => {
|
||||
const payload = await submitForm(mockGoogleAuthDomain);
|
||||
|
||||
const g = payload.config.googleAuthConfig;
|
||||
expect(g?.clientId).toBe('test-client-id');
|
||||
expect(g?.clientSecret).toBe('test-client-secret');
|
||||
expect(g?.allowedGroups).toBeUndefined();
|
||||
expect(g?.serviceAccountJson).toBeUndefined();
|
||||
expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
|
||||
expect(g?.domainToAdminEmail).toStrictEqual({});
|
||||
});
|
||||
|
||||
it('strips workspace fields when fetchGroups is false', async () => {
|
||||
const payload = await submitForm({
|
||||
...mockGoogleAuthWithWorkspaceGroups,
|
||||
config: {
|
||||
...mockGoogleAuthWithWorkspaceGroups.config,
|
||||
googleAuthConfig: {
|
||||
...mockGoogleAuthWithWorkspaceGroups.config?.googleAuthConfig,
|
||||
fetchGroups: false,
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
const g = payload.config.googleAuthConfig;
|
||||
expect(g?.fetchGroups).toBe(false);
|
||||
expect(g?.allowedGroups).toBeUndefined();
|
||||
expect(g?.serviceAccountJson).toBeUndefined();
|
||||
expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
|
||||
expect(g?.domainToAdminEmail).toStrictEqual({});
|
||||
});
|
||||
|
||||
it('includes all workspace fields when fetchGroups is true', async () => {
|
||||
const payload = await submitForm(mockGoogleAuthWithWorkspaceGroups);
|
||||
|
||||
const g = payload.config.googleAuthConfig;
|
||||
expect(g?.fetchGroups).toBe(true);
|
||||
expect(g?.serviceAccountJson).toBe('{"type": "service_account"}');
|
||||
expect(g?.fetchTransitiveGroupMembership).toBe(true);
|
||||
expect(g?.allowedGroups).toStrictEqual([
|
||||
'allowed-group-1',
|
||||
'allowed-group-2',
|
||||
]);
|
||||
expect(g?.domainToAdminEmail).toStrictEqual({
|
||||
'google-groups.com': 'admin@google-groups.com',
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('SAML', () => {
|
||||
it('sends core and attributeMapping fields', async () => {
|
||||
const payload = await submitForm(mockSamlWithAttributeMapping);
|
||||
|
||||
const s = payload.config.samlConfig;
|
||||
expect(s?.samlIdp).toBe('https://idp.saml-attrs.com/sso');
|
||||
expect(s?.samlEntity).toBe('urn:saml-attrs:idp');
|
||||
expect(s?.samlCert).toBe('MOCK_CERTIFICATE_ATTRS');
|
||||
expect(s?.insecureSkipAuthNRequestsSigned).toBe(true);
|
||||
|
||||
const attr = s?.attributeMapping as Record<string, unknown>;
|
||||
expect(attr?.name).toBe('user_display_name');
|
||||
expect(attr?.groups).toBe('member_of');
|
||||
expect(attr?.role).toBe('signoz_role');
|
||||
});
|
||||
});
|
||||
|
||||
describe('OIDC', () => {
|
||||
it('sends all fields including claimMapping', async () => {
|
||||
const payload = await submitForm(mockOidcWithClaimMapping);
|
||||
|
||||
const o = payload.config.oidcConfig;
|
||||
expect(o?.issuer).toBe('https://oidc.claims.com');
|
||||
expect(o?.issuerAlias).toBe('https://alias.claims.com');
|
||||
expect(o?.clientId).toBe('claims-client-id');
|
||||
expect(o?.clientSecret).toBe('claims-client-secret');
|
||||
expect(o?.insecureSkipEmailVerified).toBe(true);
|
||||
expect(o?.getUserInfo).toBe(true);
|
||||
|
||||
const claim = o?.claimMapping as Record<string, unknown>;
|
||||
expect(claim?.email).toBe('user_email');
|
||||
expect(claim?.name).toBe('display_name');
|
||||
expect(claim?.groups).toBe('user_groups');
|
||||
expect(claim?.role).toBe('user_role');
|
||||
});
|
||||
});
|
||||
|
||||
describe('Role Mapping', () => {
|
||||
it('strips groupMappings when useRoleAttribute is true', async () => {
|
||||
const payload = await submitForm({
|
||||
...mockDomainWithRoleMapping,
|
||||
config: {
|
||||
...mockDomainWithRoleMapping.config,
|
||||
roleMapping: {
|
||||
...mockDomainWithRoleMapping.config?.roleMapping,
|
||||
useRoleAttribute: true,
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
expect(payload.config.roleMapping?.useRoleAttribute).toBe(true);
|
||||
expect(payload.config.roleMapping?.groupMappings).toBeUndefined();
|
||||
});
|
||||
|
||||
it('sends groupMappings when useRoleAttribute is false', async () => {
|
||||
const payload = await submitForm(mockDomainWithRoleMapping);
|
||||
|
||||
expect(payload.config.roleMapping?.useRoleAttribute).toBe(false);
|
||||
expect(payload.config.roleMapping?.groupMappings).toStrictEqual({
|
||||
'admin-group': 'ADMIN',
|
||||
'dev-team': 'EDITOR',
|
||||
viewers: 'VIEWER',
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -1,6 +1,7 @@
|
||||
import { useCallback, useEffect, useMemo } from 'react';
|
||||
import { useHistory } from 'react-router-dom';
|
||||
import { Pagination, Skeleton } from 'antd';
|
||||
import { Skeleton } from 'antd';
|
||||
import { Pagination } from '@signozhq/ui/pagination';
|
||||
import { useListRoles } from 'api/generated/services/role';
|
||||
import { AuthtypesRoleDTO } from 'api/generated/services/sigNoz.schemas';
|
||||
import ErrorInPlace from 'components/ErrorInPlace/ErrorInPlace';
|
||||
@@ -116,20 +117,22 @@ function RolesListingTable({
|
||||
|
||||
const totalRoleCount = managedRoles.length + customRoles.length;
|
||||
|
||||
// Ensure current page is valid; if out of bounds, redirect to last available page
|
||||
const maxPage = totalRoleCount > 0 ? Math.ceil(totalRoleCount / PAGE_SIZE) : 1;
|
||||
const effectivePage = Math.min(currentPage, maxPage);
|
||||
|
||||
// Sync URL when currentPage is out of bounds after data changes
|
||||
useEffect(() => {
|
||||
if (isLoading || totalRoleCount === 0) {
|
||||
return;
|
||||
}
|
||||
const maxPage = Math.ceil(totalRoleCount / PAGE_SIZE);
|
||||
if (currentPage > maxPage) {
|
||||
setCurrentPage(maxPage);
|
||||
}
|
||||
}, [isLoading, totalRoleCount, currentPage, setCurrentPage]);
|
||||
}, [isLoading, totalRoleCount, currentPage, maxPage, setCurrentPage]);
|
||||
|
||||
// Paginate: count only role items, but include section headers contextually
|
||||
const paginatedItems = useMemo((): DisplayItem[] => {
|
||||
const startRole = (currentPage - 1) * PAGE_SIZE;
|
||||
const startRole = (effectivePage - 1) * PAGE_SIZE;
|
||||
const endRole = startRole + PAGE_SIZE;
|
||||
let roleIndex = 0;
|
||||
let lastSection: DisplayItem | null = null;
|
||||
@@ -151,16 +154,7 @@ function RolesListingTable({
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}, [displayList, currentPage]);
|
||||
|
||||
const showPaginationItem = (total: number, range: number[]): JSX.Element => (
|
||||
<>
|
||||
<span className="numbers">
|
||||
{range[0]} — {range[1]}
|
||||
</span>
|
||||
<span className="total"> of {total}</span>
|
||||
</>
|
||||
);
|
||||
}, [displayList, effectivePage]);
|
||||
|
||||
if (!hasListPermission && listPerms !== null) {
|
||||
return <PermissionDeniedFullPage permissionName="role:list" />;
|
||||
@@ -280,16 +274,23 @@ function RolesListingTable({
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<Pagination
|
||||
current={currentPage}
|
||||
pageSize={PAGE_SIZE}
|
||||
total={totalRoleCount}
|
||||
showTotal={showPaginationItem}
|
||||
showSizeChanger={false}
|
||||
hideOnSinglePage
|
||||
onChange={(page): void => setCurrentPage(page)}
|
||||
className="roles-table-pagination"
|
||||
/>
|
||||
<div className="roles-table-pagination">
|
||||
{totalRoleCount > 0 && (
|
||||
<div className="roles-table-count">
|
||||
<span className="numbers">
|
||||
{(effectivePage - 1) * PAGE_SIZE + 1} —{' '}
|
||||
{Math.min(effectivePage * PAGE_SIZE, totalRoleCount)}
|
||||
</span>
|
||||
<span className="total">of {totalRoleCount}</span>
|
||||
</div>
|
||||
)}
|
||||
<Pagination
|
||||
current={effectivePage}
|
||||
pageSize={PAGE_SIZE}
|
||||
total={totalRoleCount}
|
||||
onPageChange={(page): void => setCurrentPage(page)}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -212,7 +212,10 @@
|
||||
justify-content: flex-end;
|
||||
padding: 8px 16px;
|
||||
|
||||
.ant-pagination-total-text {
|
||||
.roles-table-count {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--spacing-2);
|
||||
margin-right: auto;
|
||||
|
||||
.numbers {
|
||||
|
||||
@@ -226,6 +226,20 @@ describe('RolesSettings', () => {
|
||||
});
|
||||
});
|
||||
|
||||
it('shows pagination count text with correct range and total', async () => {
|
||||
render(<RolesSettings />);
|
||||
|
||||
await expect(screen.findByText('signoz-admin')).resolves.toBeInTheDocument();
|
||||
|
||||
// 5 roles total: range shows "1 — 5", total shows "of 5"
|
||||
const countEl = document.querySelector('.roles-table-count');
|
||||
expect(countEl).toBeInTheDocument();
|
||||
expect(countEl?.querySelector('.total')?.textContent).toBe('of 5');
|
||||
expect(
|
||||
countEl?.querySelector('.numbers')?.textContent?.replace(/\s+/g, ' ').trim(),
|
||||
).toBe('1 — 5');
|
||||
});
|
||||
|
||||
it('handles invalid dates gracefully by showing fallback', async () => {
|
||||
const invalidRole = {
|
||||
id: 'edge-0009',
|
||||
|
||||
@@ -171,18 +171,17 @@
|
||||
}
|
||||
|
||||
.legend-copy-button {
|
||||
// Always laid out (space reserved) but transparent, so revealing it on
|
||||
// hover fades the icon in without reflowing the row / shifting the label.
|
||||
// Shrink the shared icon Button (defaults to a 2rem square) to the
|
||||
// compact legend row via its size tokens.
|
||||
--button-height: auto;
|
||||
--button-width: auto;
|
||||
--button-padding: 2px;
|
||||
|
||||
opacity: 0;
|
||||
display: none;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
flex-shrink: 0;
|
||||
padding: 2px;
|
||||
margin: 0;
|
||||
border: none;
|
||||
color: var(--l2-foreground);
|
||||
cursor: pointer;
|
||||
border-radius: 4px;
|
||||
opacity: 1;
|
||||
transition:
|
||||
opacity 0.15s ease,
|
||||
color 0.15s ease;
|
||||
@@ -193,8 +192,9 @@
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background: var(--l3-background);
|
||||
background: color-mix(in srgb, var(--l1-foreground) 5%, transparent);
|
||||
.legend-copy-button {
|
||||
display: flex;
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,41 +1,39 @@
|
||||
import { useCallback, useMemo, useRef, useState } from 'react';
|
||||
import { VirtuosoGrid } from 'react-virtuoso';
|
||||
import { Input } from 'antd';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { TooltipSimple } from '@signozhq/ui/tooltip';
|
||||
import { Input, Tooltip as AntdTooltip } from 'antd';
|
||||
import cx from 'classnames';
|
||||
import { useCopyToClipboard } from 'hooks/useCopyToClipboard';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
import { Check, Copy } from '@signozhq/icons';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import { LegendPosition, LegendProps } from '../types';
|
||||
|
||||
import './Legend.styles.scss';
|
||||
|
||||
export const MAX_LEGEND_WIDTH = 240;
|
||||
|
||||
/**
|
||||
* Presentational legend. Renders the supplied `items` (markers + labels, an
|
||||
* optional copy button, and a search box for the RIGHT position) and delegates
|
||||
* all interaction to the container handlers. Source-agnostic — the uPlot
|
||||
* charts feed it via UPlotLegend; Pie feeds it directly.
|
||||
*/
|
||||
export default function Legend({
|
||||
items,
|
||||
position,
|
||||
position = LegendPosition.BOTTOM,
|
||||
config,
|
||||
averageLegendWidth = MAX_LEGEND_WIDTH,
|
||||
focusedSeriesIndex,
|
||||
onClick,
|
||||
onMouseMove,
|
||||
onMouseLeave,
|
||||
showCopy = true,
|
||||
}: LegendProps): JSX.Element {
|
||||
const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
|
||||
useLegendsSync({ config });
|
||||
const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex,
|
||||
focusedSeriesIndex,
|
||||
});
|
||||
const legendContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const [legendSearchQuery, setLegendSearchQuery] = useState('');
|
||||
const { copyToClipboard, id: copiedId } = useCopyToClipboard();
|
||||
|
||||
// Search is intrinsic to the right-positioned legend.
|
||||
const searchEnabled = position === LegendPosition.RIGHT;
|
||||
const legendItems = useMemo(
|
||||
() => Object.values(legendItemsMap),
|
||||
[legendItemsMap],
|
||||
);
|
||||
|
||||
const isSingleRow = useMemo(() => {
|
||||
if (!legendContainerRef.current || position !== LegendPosition.BOTTOM) {
|
||||
@@ -43,19 +41,21 @@ export default function Legend({
|
||||
}
|
||||
const containerWidth = legendContainerRef.current.clientWidth;
|
||||
|
||||
const totalLegendWidth = items.length * (averageLegendWidth + 16);
|
||||
const totalLegendWidth = legendItems.length * (averageLegendWidth + 16);
|
||||
const totalRows = Math.ceil(totalLegendWidth / containerWidth);
|
||||
return totalRows <= 1;
|
||||
}, [averageLegendWidth, items.length, position]);
|
||||
}, [averageLegendWidth, legendContainerRef, legendItems.length, position]);
|
||||
|
||||
const visibleLegendItems = useMemo(() => {
|
||||
if (!searchEnabled || !legendSearchQuery.trim()) {
|
||||
return items;
|
||||
if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
|
||||
return legendItems;
|
||||
}
|
||||
|
||||
const query = legendSearchQuery.trim().toLowerCase();
|
||||
return items.filter((item) => item.label?.toLowerCase().includes(query));
|
||||
}, [searchEnabled, legendSearchQuery, items]);
|
||||
return legendItems.filter((item) =>
|
||||
item.label?.toLowerCase().includes(query),
|
||||
);
|
||||
}, [position, legendSearchQuery, legendItems]);
|
||||
|
||||
const handleCopyLegendItem = useCallback(
|
||||
(e: React.MouseEvent, seriesIndex: number, label: string): void => {
|
||||
@@ -68,9 +68,6 @@ export default function Legend({
|
||||
const renderLegendItem = useCallback(
|
||||
(item: LegendItem): JSX.Element => {
|
||||
const isCopied = copiedId === item.seriesIndex;
|
||||
// `color` is uPlot's stroke union (string | fn | gradient); only a string
|
||||
// is a usable CSS colour for the marker.
|
||||
const markerColor = typeof item.color === 'string' ? item.color : undefined;
|
||||
return (
|
||||
<div
|
||||
key={item.seriesIndex}
|
||||
@@ -80,68 +77,54 @@ export default function Legend({
|
||||
'legend-item-focused': focusedSeriesIndex === item.seriesIndex,
|
||||
})}
|
||||
>
|
||||
<TooltipSimple title={item.label} arrow side="top" disableHoverableContent>
|
||||
<AntdTooltip title={item.label}>
|
||||
<div className="legend-item-label-trigger">
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: markerColor }}
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
</div>
|
||||
</TooltipSimple>
|
||||
{showCopy && (
|
||||
<TooltipSimple
|
||||
title={isCopied ? 'Copied' : 'Copy'}
|
||||
arrow
|
||||
side="top"
|
||||
disableHoverableContent
|
||||
</AntdTooltip>
|
||||
<AntdTooltip title={isCopied ? 'Copied' : 'Copy'}>
|
||||
<button
|
||||
type="button"
|
||||
className="legend-copy-button"
|
||||
onClick={(e): void =>
|
||||
handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
|
||||
}
|
||||
aria-label={`Copy ${item.label}`}
|
||||
data-testid="legend-copy"
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
size="icon"
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
className="legend-copy-button"
|
||||
onClick={(e): void =>
|
||||
handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
|
||||
}
|
||||
aria-label={`Copy ${item.label}`}
|
||||
// data-testid (not testId): TooltipSimple's trigger injects
|
||||
// data-testid:undefined via Radix Slot, and Button spreads
|
||||
// incoming props after its own testId — so set it as a prop
|
||||
// that wins the Slot merge and survives the spread.
|
||||
data-testid="legend-copy"
|
||||
>
|
||||
{isCopied ? <Check size={12} /> : <Copy size={12} />}
|
||||
</Button>
|
||||
</TooltipSimple>
|
||||
)}
|
||||
{isCopied ? <Check size={12} /> : <Copy size={12} />}
|
||||
</button>
|
||||
</AntdTooltip>
|
||||
</div>
|
||||
);
|
||||
},
|
||||
[copiedId, focusedSeriesIndex, handleCopyLegendItem, position, showCopy],
|
||||
[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
|
||||
);
|
||||
|
||||
const isEmptyState = useMemo(() => {
|
||||
if (!searchEnabled || !legendSearchQuery.trim()) {
|
||||
if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
|
||||
return false;
|
||||
}
|
||||
return visibleLegendItems.length === 0;
|
||||
}, [searchEnabled, legendSearchQuery, visibleLegendItems]);
|
||||
}, [position, legendSearchQuery, visibleLegendItems]);
|
||||
|
||||
return (
|
||||
<div
|
||||
ref={legendContainerRef}
|
||||
className="legend-container"
|
||||
onClick={onClick}
|
||||
onMouseMove={onMouseMove}
|
||||
onMouseLeave={onMouseLeave}
|
||||
onClick={onLegendClick}
|
||||
onMouseMove={onLegendMouseMove}
|
||||
onMouseLeave={onLegendMouseLeave}
|
||||
style={{
|
||||
['--legend-average-width' as string]: `${averageLegendWidth + 16}px`, // 16px is the marker width
|
||||
}}
|
||||
>
|
||||
{searchEnabled && (
|
||||
{position === LegendPosition.RIGHT && (
|
||||
<div className="legend-search-container">
|
||||
<Input
|
||||
allowClear
|
||||
|
||||
@@ -1,41 +0,0 @@
|
||||
import { useMemo } from 'react';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import { LegendPosition, UPlotLegendProps } from '../types';
|
||||
|
||||
import Legend from './Legend';
|
||||
|
||||
/**
|
||||
* uPlot legend controller. Derives the legend items + focus/visibility state
|
||||
* from the chart config (useLegendsSync) and the toggle/focus interactions from
|
||||
* the plot context (useLegendActions), then renders the presentational Legend.
|
||||
* Must be rendered inside a PlotContextProvider.
|
||||
*/
|
||||
export default function UPlotLegend({
|
||||
position = LegendPosition.BOTTOM,
|
||||
config,
|
||||
averageLegendWidth,
|
||||
}: UPlotLegendProps): JSX.Element {
|
||||
const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
|
||||
useLegendsSync({ config });
|
||||
const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex,
|
||||
focusedSeriesIndex,
|
||||
});
|
||||
|
||||
const items = useMemo(() => Object.values(legendItemsMap), [legendItemsMap]);
|
||||
|
||||
return (
|
||||
<Legend
|
||||
items={items}
|
||||
position={position}
|
||||
averageLegendWidth={averageLegendWidth}
|
||||
focusedSeriesIndex={focusedSeriesIndex}
|
||||
onClick={onLegendClick}
|
||||
onMouseMove={onLegendMouseMove}
|
||||
onMouseLeave={onLegendMouseLeave}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -7,12 +7,11 @@ import {
|
||||
within,
|
||||
} from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { TooltipProvider } from '@signozhq/ui/tooltip';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import UPlotLegend from '../Legend/UPlotLegend';
|
||||
import Legend from '../Legend/Legend';
|
||||
import { LegendPosition } from '../types';
|
||||
|
||||
const mockWriteText = jest.fn().mockResolvedValue(undefined);
|
||||
@@ -48,7 +47,7 @@ const mockUseLegendActions = useLegendActions as jest.MockedFunction<
|
||||
typeof useLegendActions
|
||||
>;
|
||||
|
||||
describe('UPlotLegend', () => {
|
||||
describe('Legend', () => {
|
||||
beforeAll(() => {
|
||||
// JSDOM does not define navigator.clipboard; add it so we can spy on writeText
|
||||
Object.defineProperty(navigator, 'clipboard', {
|
||||
@@ -116,13 +115,11 @@ describe('UPlotLegend', () => {
|
||||
|
||||
const renderLegend = (position?: LegendPosition): RenderResult =>
|
||||
render(
|
||||
<TooltipProvider>
|
||||
<UPlotLegend
|
||||
position={position}
|
||||
// config is consumed by the mocked useLegendsSync hook, not directly
|
||||
config={{} as any}
|
||||
/>
|
||||
</TooltipProvider>,
|
||||
<Legend
|
||||
position={position}
|
||||
// config is not used directly in the component, it's consumed by the mocked hook
|
||||
config={{} as any}
|
||||
/>,
|
||||
);
|
||||
|
||||
describe('layout and position', () => {
|
||||
@@ -1,10 +1,9 @@
|
||||
import { MouseEventHandler, ReactNode } from 'react';
|
||||
import { ReactNode } from 'react';
|
||||
import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
|
||||
import { PrecisionOption } from 'components/Graph/types';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { UPlotConfigBuilder } from '../config/UPlotConfigBuilder';
|
||||
import { LegendItem } from '../config/types';
|
||||
import { SyncTooltipFilterMode } from '../plugins/TooltipPlugin/types';
|
||||
|
||||
/**
|
||||
@@ -110,33 +109,7 @@ export enum LegendPosition {
|
||||
export interface LegendConfig {
|
||||
position: LegendPosition;
|
||||
}
|
||||
/**
|
||||
* Presentational legend props. Source-agnostic: it renders whatever `items`
|
||||
* it's given and delegates interaction to the container handlers, so it serves
|
||||
* both uPlot charts (via UPlotLegend) and non-uPlot charts (Pie). The search
|
||||
* box is intrinsic to the RIGHT position (derived from `position`, not a flag).
|
||||
*/
|
||||
export interface LegendProps {
|
||||
items: LegendItem[];
|
||||
/** Legend placement; always supplied by the container. */
|
||||
position: LegendPosition;
|
||||
averageLegendWidth?: number;
|
||||
/** Series index to highlight (hovered/focused). */
|
||||
focusedSeriesIndex: number | null;
|
||||
/**
|
||||
* Container-delegated handlers. Items carry `data-legend-item-id`, so the
|
||||
* handler reads the target's id rather than binding per item.
|
||||
*/
|
||||
onClick: MouseEventHandler<HTMLDivElement>;
|
||||
onMouseMove: MouseEventHandler<HTMLDivElement>;
|
||||
onMouseLeave: () => void;
|
||||
/** Show the per-item copy button. Default true. */
|
||||
showCopy?: boolean;
|
||||
}
|
||||
|
||||
/** Props for the uPlot legend controller, which derives items + interaction
|
||||
* from the chart config and renders the presentational Legend. */
|
||||
export interface UPlotLegendProps {
|
||||
position?: LegendPosition;
|
||||
config: UPlotConfigBuilder;
|
||||
averageLegendWidth?: number;
|
||||
|
||||
@@ -37,7 +37,7 @@ export interface TooltipViewState {
|
||||
isHovering: boolean;
|
||||
isPinned: boolean;
|
||||
dismiss: () => void;
|
||||
clickData: ChartClickData | null;
|
||||
clickData: TooltipClickData | null;
|
||||
contents?: ReactNode;
|
||||
}
|
||||
|
||||
@@ -59,17 +59,17 @@ export interface TooltipPluginProps {
|
||||
/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
|
||||
pinKey?: string;
|
||||
/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
|
||||
onClick?: (clickData: ChartClickData) => void;
|
||||
onClick?: (clickData: TooltipClickData) => void;
|
||||
syncMode?: DashboardCursorSync;
|
||||
syncKey?: string;
|
||||
syncMetadata?: TooltipSyncMetadata;
|
||||
render: (args: TooltipRenderArgs) => ReactNode;
|
||||
pinnedTooltipElement?: (clickData: ChartClickData) => ReactNode;
|
||||
pinnedTooltipElement?: (clickData: TooltipClickData) => ReactNode;
|
||||
maxWidth?: number;
|
||||
maxHeight?: number;
|
||||
}
|
||||
|
||||
export interface ChartClickData {
|
||||
export interface TooltipClickData {
|
||||
xValue: number;
|
||||
yValue: number;
|
||||
focusedSeries: {
|
||||
@@ -101,7 +101,7 @@ export interface TooltipControllerState {
|
||||
hoverActive: boolean;
|
||||
isAnySeriesActive: boolean;
|
||||
pinned: boolean;
|
||||
clickData: ChartClickData | null;
|
||||
clickData: TooltipClickData | null;
|
||||
style: TooltipViewState['style'];
|
||||
horizontalOffset: number;
|
||||
verticalOffset: number;
|
||||
|
||||
@@ -2,7 +2,7 @@ import { getFocusedSeriesAtPosition } from 'lib/uPlotLib/plugins/onClickPlugin';
|
||||
|
||||
import {
|
||||
TOOLTIP_OFFSET,
|
||||
ChartClickData,
|
||||
TooltipClickData,
|
||||
TooltipLayoutInfo,
|
||||
TooltipViewState,
|
||||
} from './types';
|
||||
@@ -167,11 +167,14 @@ export function createLayoutObserver(
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolves a ChartClickData snapshot from a MouseEvent (real or synthetic)
|
||||
* Resolves a TooltipClickData snapshot from a MouseEvent (real or synthetic)
|
||||
* and the current uPlot instance. Shared by the overlay click handler and the
|
||||
* keyboard-pin handler (which synthesises an event from the cursor position).
|
||||
*/
|
||||
export function buildClickData(event: MouseEvent, plot: uPlot): ChartClickData {
|
||||
export function buildClickData(
|
||||
event: MouseEvent,
|
||||
plot: uPlot,
|
||||
): TooltipClickData {
|
||||
const xValue = plot.posToVal(event.offsetX, 'x');
|
||||
const yValue = plot.posToVal(event.offsetY, 'y');
|
||||
const focusedSeries = getFocusedSeriesAtPosition(event, plot);
|
||||
|
||||
@@ -22,7 +22,7 @@ func newConfig() factory.Config {
|
||||
Agent: AgentConfig{
|
||||
// we will maintain the latest version of cloud integration agent from here,
|
||||
// till we automate it externally or figure out a way to validate it.
|
||||
Version: "v0.0.11",
|
||||
Version: "v0.0.10",
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
||||
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|
Before Width: | Height: | Size: 4.4 KiB |
@@ -1,293 +0,0 @@
|
||||
{
|
||||
"id": "aks",
|
||||
"title": "Azure Kubernetes Service (AKS)",
|
||||
"icon": "file://icon.svg",
|
||||
"overview": "file://overview.md",
|
||||
"supportedSignals": {
|
||||
"metrics": true,
|
||||
"logs": true
|
||||
},
|
||||
"dataCollected": {
|
||||
"metrics": [
|
||||
{
|
||||
"name": "azure_kube_pod_status_ready_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_ready_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_phase_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_phase_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_condition_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_condition_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_millicores_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_millicores_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_in_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_in_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_out_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_out_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_current_inflight_requests_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_current_inflight_requests_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_memory_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_memory_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_database_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_database_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_memory_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_memory_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_cpu_cores_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_cpu_cores_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_memory_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_memory_bytes_total",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
}
|
||||
],
|
||||
"logs": [
|
||||
{
|
||||
"name": "Resource ID",
|
||||
"path": "resources.azure.resource.id",
|
||||
"type": "string"
|
||||
}
|
||||
]
|
||||
},
|
||||
"telemetryCollectionStrategy": {
|
||||
"azure": {
|
||||
"resourceProvider": "Microsoft.ContainerService",
|
||||
"resourceType": "managedClusters",
|
||||
"metrics": {},
|
||||
"logs": {
|
||||
"categoryGroups": ["allLogs"]
|
||||
}
|
||||
}
|
||||
},
|
||||
"assets": {
|
||||
"dashboards": [
|
||||
{
|
||||
"id": "overview",
|
||||
"title": "Azure Kubernetes Service (AKS) Overview",
|
||||
"description": "Overview of Azure Kubernetes Service (AKS) metrics",
|
||||
"definition": "file://assets/dashboards/overview.json"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
### Monitor Azure Kubernetes Service (AKS) with SigNoz
|
||||
|
||||
Collect key AKS metrics and view them with an out of the box dashboard.
|
||||
|
||||
Note: This integration is only for AKS with resource type `Microsoft.ContainerService/managedClusters`.
|
||||
@@ -27,7 +27,6 @@ var (
|
||||
// Azure services.
|
||||
AzureServiceStorageAccountsBlob = ServiceID{valuer.NewString("storageaccountsblob")}
|
||||
AzureServiceCDNProfile = ServiceID{valuer.NewString("cdnprofile")}
|
||||
AzureServiceAKS = ServiceID{valuer.NewString("aks")}
|
||||
)
|
||||
|
||||
func (ServiceID) Enum() []any {
|
||||
@@ -47,7 +46,6 @@ func (ServiceID) Enum() []any {
|
||||
AWSServiceSQS,
|
||||
AzureServiceStorageAccountsBlob,
|
||||
AzureServiceCDNProfile,
|
||||
AzureServiceAKS,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -71,7 +69,6 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
|
||||
CloudProviderTypeAzure: {
|
||||
AzureServiceStorageAccountsBlob,
|
||||
AzureServiceCDNProfile,
|
||||
AzureServiceAKS,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -1,144 +0,0 @@
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.cpu.time", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.memory.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "dev-windows-1", "os.type": "windows"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
{"metric_name": "system.filesystem.usage", "labels": {"host.name": "dev-windows-1", "os.type": "windows", "state": "reserved"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
|
||||
@@ -1,126 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-windows-1","os.type":"windows","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:24:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-windows-1","os.type":"windows"},"timestamp":"2025-01-10T10:20:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-windows-1","os.type":"windows"},"timestamp":"2025-01-10T10:22:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-windows-1","os.type":"windows"},"timestamp":"2025-01-10T10:24:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:20:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:22:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:24:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:20:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:22:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:24:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":150,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
@@ -1,120 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:10+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:10+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:10+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:10+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:10+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:10+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:10+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:10+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:10+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:10+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:10+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:10+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:10+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:10+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:10+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h2","os.type":"linux"},"timestamp":"2025-01-10T10:00:10+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h2","os.type":"linux"},"timestamp":"2025-01-10T10:02:10+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h2","os.type":"linux"},"timestamp":"2025-01-10T10:04:10+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:10+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:10+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:10+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:10+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:10+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:10+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:20+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:20+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:20+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:20+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:20+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:20+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:20+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:20+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h3","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:20+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:20+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:20+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:20+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:20+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:20+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:20+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h3","os.type":"linux"},"timestamp":"2025-01-10T10:00:20+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h3","os.type":"linux"},"timestamp":"2025-01-10T10:02:20+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h3","os.type":"linux"},"timestamp":"2025-01-10T10:04:20+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:20+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:20+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:20+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h3","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:20+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
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{"metric_name":"system.memory.usage","labels":{"host.name":"order-h4","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:30+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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||||
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|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h4","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:30+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:40+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:40+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:40+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:40+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:40+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:40+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:40+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"order-h5","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:40+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:40+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:40+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:40+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:40+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:40+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:40+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
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||||
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||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"order-h5","os.type":"linux"},"timestamp":"2025-01-10T10:04:40+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:40+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:40+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:40+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:40+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:40+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"order-h5","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:40+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
@@ -1,147 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"page-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h2","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h2","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h2","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h7","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h7","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"page-h7","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"page-h7","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
@@ -1,42 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"inactive-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-h1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"inactive-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"inactive-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:20:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:22:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:24:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:20:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:22:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"active-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:24:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:20:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:22:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:24:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:20:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:22:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:24:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-h1","os.type":"linux"},"timestamp":"2025-01-10T10:20:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-h1","os.type":"linux"},"timestamp":"2025-01-10T10:22:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"active-h1","os.type":"linux"},"timestamp":"2025-01-10T10:24:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:20:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:22:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:24:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:20:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:22:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:24:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
@@ -1,72 +0,0 @@
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":150,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":80,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":160,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":240,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":80,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":120,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:00:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:02:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:04:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":3000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":3250000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":3500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":4750000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":4500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:00:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:02:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:04:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":70000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":71000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":72000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":29000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":28000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
|
||||
@@ -1,20 +0,0 @@
|
||||
{
|
||||
"records": [
|
||||
{
|
||||
"hostName": "acc-h1",
|
||||
"cpu": 0.4444444444444445,
|
||||
"memory": 0.205,
|
||||
"wait": 0.027777777777777776,
|
||||
"load15": 1.525,
|
||||
"diskUsage": 0.48095238095238096
|
||||
},
|
||||
{
|
||||
"hostName": "acc-h2",
|
||||
"cpu": 0.3846153846153845,
|
||||
"memory": 0.3125,
|
||||
"wait": 0.015384615384615384,
|
||||
"load15": 2.025,
|
||||
"diskUsage": 0.6714285714285714
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,634 +0,0 @@
|
||||
"""Integration tests for v2 infra-monitoring host endpoints."""
|
||||
|
||||
import json
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from http import HTTPStatus
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import compare_values
|
||||
|
||||
ENDPOINT = "/api/v2/infra_monitoring/hosts"
|
||||
|
||||
|
||||
def test_hosts_accuracy(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Seed 2 hosts x 4 metrics; assert response shape/contract + exact metric
|
||||
values per record against precomputed expected output."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_value_accuracy.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
with open(
|
||||
get_testdata_file_path("inframonitoring/hosts_value_accuracy_expected.json"),
|
||||
encoding="utf-8",
|
||||
) as f:
|
||||
expected = json.load(f)
|
||||
exp_by_host = {r["hostName"]: r for r in expected["records"]}
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
|
||||
# Shape/contract.
|
||||
assert data["total"] == len(expected["records"])
|
||||
assert len(data["records"]) == len(expected["records"])
|
||||
assert data["requiredMetricsCheck"]["missingMetrics"] == []
|
||||
assert data["endTimeBeforeRetention"] is False
|
||||
assert {r["hostName"] for r in data["records"]} == set(exp_by_host.keys())
|
||||
|
||||
for record in data["records"]:
|
||||
for field in (
|
||||
"hostName",
|
||||
"status",
|
||||
"cpu",
|
||||
"memory",
|
||||
"wait",
|
||||
"load15",
|
||||
"diskUsage",
|
||||
"meta",
|
||||
):
|
||||
assert field in record, f"missing {field} in {record!r}"
|
||||
|
||||
# Exact metric values.
|
||||
exp = exp_by_host[record["hostName"]]
|
||||
for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
|
||||
assert compare_values(record[field], exp[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {exp[field]}"
|
||||
|
||||
|
||||
def test_hosts_missing_metrics(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Seed only system.cpu.time; assert other 3 required metrics flagged missing."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_missing_metrics.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
|
||||
assert set(data["requiredMetricsCheck"]["missingMetrics"]) == {
|
||||
"system.memory.usage",
|
||||
"system.cpu.load_average.15m",
|
||||
"system.filesystem.usage",
|
||||
}
|
||||
# Endpoint short-circuits when any required metric is missing:
|
||||
# records is empty and total=0 regardless of which hosts have partial data.
|
||||
# See pkg/modules/inframonitoring/implinframonitoring/module.go:84-89.
|
||||
assert data["records"] == []
|
||||
assert data["total"] == 0
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,expected_hosts",
|
||||
[
|
||||
pytest.param(
|
||||
"host.name = 'prod-linux-1' AND os.type = 'linux'",
|
||||
{"prod-linux-1"},
|
||||
id="and",
|
||||
),
|
||||
pytest.param(
|
||||
"host.name IN ('prod-linux-1', 'prod-windows-1')",
|
||||
{"prod-linux-1", "prod-windows-1"},
|
||||
id="in",
|
||||
),
|
||||
pytest.param(
|
||||
"host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
|
||||
{"dev-linux-1", "dev-windows-1"},
|
||||
id="not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"host.name CONTAINS 'prod-'",
|
||||
{"prod-linux-1", "prod-windows-1"},
|
||||
id="contains",
|
||||
),
|
||||
pytest.param(
|
||||
"os.type = 'linux' AND host.name IN ('prod-linux-1', 'prod-windows-1')",
|
||||
{"prod-linux-1"},
|
||||
id="and_in",
|
||||
),
|
||||
pytest.param(
|
||||
"os.type = 'linux' AND host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
|
||||
{"dev-linux-1"},
|
||||
id="and_not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"os.type = 'linux' AND host.name CONTAINS 'prod-'",
|
||||
{"prod-linux-1"},
|
||||
id="and_contains",
|
||||
),
|
||||
pytest.param(
|
||||
"host.name IN ('prod-linux-1', 'prod-windows-1', 'dev-linux-1') AND host.name CONTAINS 'linux'",
|
||||
{"prod-linux-1", "dev-linux-1"},
|
||||
id="in_contains",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_hosts_filter(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
expected_hosts: set,
|
||||
) -> None:
|
||||
"""Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
|
||||
return exactly the matching hosts, with undistorted per-host metric values."""
|
||||
# Every host in hosts_filter_dataset.jsonl carries the same sample pattern
|
||||
# as acc-h1 in hosts_value_accuracy.jsonl, so all filtered records must
|
||||
# resolve to these exact values (mirrors hosts_value_accuracy_expected.json
|
||||
# acc-h1).
|
||||
expected_values = {
|
||||
"cpu": 0.4444444444444445,
|
||||
"memory": 0.205,
|
||||
"wait": 0.027777777777777776,
|
||||
"load15": 1.525,
|
||||
"diskUsage": 0.48095238095238096,
|
||||
}
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
assert {r["hostName"] for r in data["records"]} == expected_hosts
|
||||
assert data["total"] == len(expected_hosts)
|
||||
|
||||
# Filtering must not distort per-host aggregation values.
|
||||
for record in data["records"]:
|
||||
for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
|
||||
assert compare_values(record[field], expected_values[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {expected_values[field]}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,err_substr",
|
||||
[
|
||||
pytest.param("host.namee = 'prod-linux-1'", "host.namee", id="bad_attr_name"),
|
||||
pytest.param("host.name =", None, id="trailing_op"),
|
||||
pytest.param("(host.name = 'prod-linux-1'", None, id="unclosed_paren"),
|
||||
# Cases dropped — parser is permissive and accepts these silently:
|
||||
# `host.name == 'x'` → treated as `=` (matches as if single `=`)
|
||||
# `host.name 'x'` → returns 200 with empty records
|
||||
# Tracked as a QB v5 parser gap; not enforced by this test.
|
||||
],
|
||||
)
|
||||
def test_hosts_filter_invalid(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
err_substr,
|
||||
) -> None:
|
||||
"""Invalid filter expressions (typo'd attribute key, malformed grammar) return
|
||||
400 invalid_input with structured errors; bad attribute keys are named in them."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
|
||||
body = response.json()
|
||||
assert body["status"] == "error"
|
||||
assert body["error"]["code"] == "invalid_input"
|
||||
assert len(body["error"]["errors"]) > 0
|
||||
if err_substr is not None:
|
||||
assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"status,expected_hosts",
|
||||
[
|
||||
pytest.param("active", {"active-h1"}, id="active"),
|
||||
pytest.param("inactive", {"inactive-h1"}, id="inactive"),
|
||||
pytest.param(None, {"active-h1", "inactive-h1"}, id="unset"),
|
||||
],
|
||||
)
|
||||
def test_hosts_filter_by_status(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
status,
|
||||
expected_hosts: set,
|
||||
) -> None:
|
||||
"""filterByStatus subsets hosts and per-record activeHostCount/inactiveHostCount
|
||||
track each host's status. Omitting filterByStatus returns all hosts.
|
||||
"""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_status.jsonl"),
|
||||
base_time=now - timedelta(minutes=24),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
body = {
|
||||
"start": int((now - timedelta(minutes=30)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
}
|
||||
if status is not None:
|
||||
body["filter"] = {"filterByStatus": status}
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json=body,
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
|
||||
assert {r["hostName"] for r in data["records"]} == expected_hosts
|
||||
assert data["total"] == len(expected_hosts)
|
||||
|
||||
if status is not None:
|
||||
for r in data["records"]:
|
||||
assert r["status"] == status
|
||||
|
||||
for r in data["records"]:
|
||||
if r["status"] == "active":
|
||||
assert r["activeHostCount"] == 1
|
||||
assert r["inactiveHostCount"] == 0
|
||||
else:
|
||||
assert r["status"] == "inactive"
|
||||
assert r["activeHostCount"] == 0
|
||||
assert r["inactiveHostCount"] == 1
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"dataset,seed_age_min,window_min,group_key,expected_counts,expected_values",
|
||||
[
|
||||
# groupBy=[host.name]: one record per distinct host. Per-host status is
|
||||
# not pinned by the dataset, so expected counts are None (assert
|
||||
# active+inactive == 1 instead).
|
||||
pytest.param(
|
||||
"hosts_filter_dataset.jsonl",
|
||||
4,
|
||||
5,
|
||||
"host.name",
|
||||
{
|
||||
"prod-linux-1": None,
|
||||
"prod-windows-1": None,
|
||||
"dev-linux-1": None,
|
||||
"dev-windows-1": None,
|
||||
},
|
||||
None,
|
||||
id="host_name",
|
||||
),
|
||||
# groupBy=[os.type]: aggregates active/inactive counts and metric values
|
||||
# per os.type. Seed had linux: 2 active + 1 inactive, windows: 1 active
|
||||
# + 2 inactive. Aggregated metric values differ between groups because
|
||||
# active hosts (last sample step-floored out) and inactive hosts (all 3
|
||||
# samples averaged) contribute slightly different per-host
|
||||
# contributions to the space-aggregated formula.
|
||||
pytest.param(
|
||||
"hosts_groupby_os_type.jsonl",
|
||||
24,
|
||||
30,
|
||||
"os.type",
|
||||
{"linux": (2, 1), "windows": (1, 2)},
|
||||
{
|
||||
"linux": {
|
||||
"cpu": 0.3333333333333333,
|
||||
"memory": 0.25892857142857145,
|
||||
"wait": 0,
|
||||
"load15": 2.15,
|
||||
"diskUsage": 0.5071428571428571,
|
||||
},
|
||||
"windows": {
|
||||
"cpu": 0.33333333333333337,
|
||||
"memory": 0.2609375,
|
||||
"wait": 0,
|
||||
"load15": 2.47,
|
||||
"diskUsage": 0.50875,
|
||||
},
|
||||
},
|
||||
id="os_type",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_hosts_groupby( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
dataset: str,
|
||||
seed_age_min: int,
|
||||
window_min: int,
|
||||
group_key: str,
|
||||
expected_counts: dict,
|
||||
expected_values: dict,
|
||||
) -> None:
|
||||
"""groupBy returns one record per distinct group with aggregated
|
||||
active/inactive counts and metric values. hostName is populated only when
|
||||
grouping by host.name (hosts.go:144-160 list-vs-grouped branches)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path(f"inframonitoring/{dataset}"),
|
||||
base_time=now - timedelta(minutes=seed_age_min),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=window_min)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"groupBy": [
|
||||
{
|
||||
"name": group_key,
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
},
|
||||
],
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == len(expected_counts)
|
||||
|
||||
group_of = lambda r: r["hostName"] if group_key == "host.name" else r["meta"][group_key] # noqa: E731 # pylint: disable=unnecessary-lambda-assignment
|
||||
by_group = {group_of(r): r for r in data["records"]}
|
||||
assert set(by_group.keys()) == set(expected_counts.keys())
|
||||
|
||||
for group, rec in by_group.items():
|
||||
counts = expected_counts[group]
|
||||
if counts is not None:
|
||||
assert (rec["activeHostCount"], rec["inactiveHostCount"]) == counts, f"{group}: got ({rec['activeHostCount']}, {rec['inactiveHostCount']}), expected {counts}"
|
||||
else:
|
||||
assert rec["activeHostCount"] + rec["inactiveHostCount"] == 1
|
||||
|
||||
# hostName is populated per host when grouping by host.name, and empty
|
||||
# when host.name is NOT in groupBy.
|
||||
assert rec["hostName"] == (group if group_key == "host.name" else "")
|
||||
|
||||
if expected_values is not None:
|
||||
for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
|
||||
assert compare_values(rec[field], expected_values[group][field], 1e-9), f"{group}.{field}: got {rec[field]}, expected {expected_values[group][field]}"
|
||||
|
||||
|
||||
def test_hosts_pagination(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Pagination: per-page len matches min(limit, total-offset), total invariant,
|
||||
pages cover the full set with no overlap. The final offset is beyond total:
|
||||
it returns empty records while total still reflects dataset size.
|
||||
"""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K, limit = 7, 3
|
||||
seen_hosts: list[str] = []
|
||||
seen_totals: set[int] = set()
|
||||
|
||||
for offset in (0, 3, 6, K + 5):
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": limit,
|
||||
"offset": offset,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()["data"]
|
||||
seen_totals.add(data["total"])
|
||||
expected_len = max(0, min(limit, K - offset))
|
||||
assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len} records, got {len(data['records'])}"
|
||||
seen_hosts.extend(r["hostName"] for r in data["records"])
|
||||
|
||||
assert seen_totals == {K}
|
||||
assert len(seen_hosts) == K
|
||||
assert set(seen_hosts) == {f"page-h{i}" for i in range(1, K + 1)}
|
||||
|
||||
|
||||
# orderBy keys use snake_case (inframonitoringtypes/hosts_constants.go:26-30).
|
||||
# Note: response uses camelCase (diskUsage) but request uses disk_usage.
|
||||
# host.name sorts via the metadata-name branch (hosts.go:218-219,
|
||||
# PaginateMetadataByName) and is only allowed when groupBy is empty.
|
||||
@pytest.mark.parametrize(
|
||||
"column,record_field",
|
||||
[
|
||||
pytest.param("cpu", "cpu", id="cpu"),
|
||||
pytest.param("memory", "memory", id="memory"),
|
||||
pytest.param("wait", "wait", id="wait"),
|
||||
pytest.param("load15", "load15", id="load15"),
|
||||
pytest.param("disk_usage", "diskUsage", id="disk_usage"),
|
||||
pytest.param("host.name", "hostName", id="host_name"),
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize("direction", ["asc", "desc"])
|
||||
def test_hosts_orderby( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
column: str,
|
||||
record_field: str,
|
||||
direction: str,
|
||||
) -> None:
|
||||
"""Every orderBy column x direction: total/len stay K (invariant under
|
||||
sort) and records come back sorted by the requested column. Hosts have
|
||||
staggered timestamps (simulating real-world emit drift)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/hosts_orderby.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K = 5
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"orderBy": {"key": {"name": column}, "direction": direction},
|
||||
# Guards against hosts seeded by other tests in the shared backend.
|
||||
"filter": {"expression": "host.name CONTAINS 'order-'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
ctx = f"orderBy={column} {direction}"
|
||||
assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == K, f"{ctx}: total={data['total']}"
|
||||
assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
|
||||
|
||||
values = [r[record_field] for r in data["records"]]
|
||||
expected = sorted(values, reverse=(direction == "desc"))
|
||||
assert values == expected, f"{ctx} not sorted; got {values}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"payload_override,err_substr",
|
||||
[
|
||||
pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
|
||||
pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
|
||||
pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
|
||||
pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
|
||||
pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
|
||||
pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
|
||||
pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
|
||||
pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
|
||||
pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
|
||||
pytest.param(
|
||||
{"filter": {"filterByStatus": "bogus"}},
|
||||
"invalid filter by status",
|
||||
id="filter_by_status_invalid",
|
||||
),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
|
||||
"invalid order by key",
|
||||
id="orderby_invalid_key",
|
||||
),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
|
||||
"invalid order by direction",
|
||||
id="orderby_invalid_direction",
|
||||
),
|
||||
pytest.param(
|
||||
{
|
||||
"orderBy": {"key": {"name": "host.name"}, "direction": "desc"},
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "host.name",
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
}
|
||||
],
|
||||
},
|
||||
"is only allowed when groupBy is empty",
|
||||
id="orderby_hostname_with_groupby",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_hosts_validation_errors(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
payload_override: dict,
|
||||
err_substr: str,
|
||||
) -> None:
|
||||
"""All PostableHosts.Validate() rules reject with 400 + descriptive error.
|
||||
See pkg/types/inframonitoringtypes/hosts.go:53-108."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
body: dict = {
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
}
|
||||
if payload_override.pop("_use_end_eq_start", False):
|
||||
body["end"] = body["start"]
|
||||
if payload_override.pop("_use_start_gt_end", False):
|
||||
body["start"] = body["end"] + 1
|
||||
body.update(payload_override)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json=body,
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
error = response.json()["error"]
|
||||
assert error["code"] == "invalid_input"
|
||||
assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
|
||||
Reference in New Issue
Block a user