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test/e2e/b
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0de2dbf674 |
@@ -12,6 +12,8 @@ export interface MockUPlotInstance {
|
||||
export interface MockUPlotPaths {
|
||||
spline: jest.Mock;
|
||||
bars: jest.Mock;
|
||||
linear: jest.Mock;
|
||||
stepped: jest.Mock;
|
||||
}
|
||||
|
||||
// Create mock instance methods
|
||||
@@ -23,10 +25,23 @@ const createMockUPlotInstance = (): MockUPlotInstance => ({
|
||||
setSeries: jest.fn(),
|
||||
});
|
||||
|
||||
// Create mock paths
|
||||
const mockPaths: MockUPlotPaths = {
|
||||
spline: jest.fn(),
|
||||
bars: jest.fn(),
|
||||
// Path builder: (self, seriesIdx, idx0, idx1) => paths or null
|
||||
const createMockPathBuilder = (name: string): jest.Mock =>
|
||||
jest.fn(() => ({
|
||||
name, // To test if the correct pathBuilder is used
|
||||
stroke: jest.fn(),
|
||||
fill: jest.fn(),
|
||||
clip: jest.fn(),
|
||||
}));
|
||||
|
||||
// Create mock paths - linear, spline, stepped needed by UPlotSeriesBuilder.getPathBuilder
|
||||
const mockPaths = {
|
||||
spline: jest.fn(() => createMockPathBuilder('spline')),
|
||||
bars: jest.fn(() => createMockPathBuilder('bars')),
|
||||
linear: jest.fn(() => createMockPathBuilder('linear')),
|
||||
stepped: jest.fn((opts?: { align?: number }) =>
|
||||
createMockPathBuilder(`stepped-(${opts?.align ?? 0})`),
|
||||
),
|
||||
};
|
||||
|
||||
// Mock static methods
|
||||
|
||||
@@ -83,7 +83,7 @@ export const prepareUPlotConfig = ({
|
||||
drawStyle: DrawStyle.Line,
|
||||
label: label,
|
||||
colorMapping: widget.customLegendColors ?? {},
|
||||
spanGaps: false,
|
||||
spanGaps: true,
|
||||
lineStyle: LineStyle.Solid,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
showPoints: VisibilityMode.Never,
|
||||
|
||||
@@ -14,6 +14,11 @@ export interface GraphVisibilityState {
|
||||
dataIndex: SeriesVisibilityItem[];
|
||||
}
|
||||
|
||||
export interface SeriesVisibilityState {
|
||||
labels: string[];
|
||||
visibility: boolean[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Context in which a panel is rendered. Used to vary behavior (e.g. persistence,
|
||||
* interactions) per context.
|
||||
|
||||
@@ -0,0 +1,271 @@
|
||||
import { LOCALSTORAGE } from 'constants/localStorage';
|
||||
|
||||
import type { GraphVisibilityState } from '../../types';
|
||||
import {
|
||||
getStoredSeriesVisibility,
|
||||
updateSeriesVisibilityToLocalStorage,
|
||||
} from '../legendVisibilityUtils';
|
||||
|
||||
describe('legendVisibilityUtils', () => {
|
||||
const storageKey = LOCALSTORAGE.GRAPH_VISIBILITY_STATES;
|
||||
|
||||
beforeEach(() => {
|
||||
localStorage.clear();
|
||||
jest.spyOn(window.localStorage.__proto__, 'getItem');
|
||||
jest.spyOn(window.localStorage.__proto__, 'setItem');
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
jest.restoreAllMocks();
|
||||
});
|
||||
|
||||
describe('getStoredSeriesVisibility', () => {
|
||||
it('returns null when there is no stored visibility state', () => {
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).toBeNull();
|
||||
expect(localStorage.getItem).toHaveBeenCalledWith(storageKey);
|
||||
});
|
||||
|
||||
it('returns null when widget has no stored dataIndex', () => {
|
||||
const stored: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'widget-1',
|
||||
dataIndex: [],
|
||||
},
|
||||
];
|
||||
|
||||
localStorage.setItem(storageKey, JSON.stringify(stored));
|
||||
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).toBeNull();
|
||||
});
|
||||
|
||||
it('returns visibility array by index when widget state exists', () => {
|
||||
const stored: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'widget-1',
|
||||
dataIndex: [
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: false },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'widget-2',
|
||||
dataIndex: [{ label: 'Errors', show: true }],
|
||||
},
|
||||
];
|
||||
|
||||
localStorage.setItem(storageKey, JSON.stringify(stored));
|
||||
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).not.toBeNull();
|
||||
expect(result).toEqual({
|
||||
labels: ['CPU', 'Memory'],
|
||||
visibility: [true, false],
|
||||
});
|
||||
});
|
||||
|
||||
it('returns visibility by index including duplicate labels', () => {
|
||||
const stored: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'widget-1',
|
||||
dataIndex: [
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'CPU', show: false },
|
||||
{ label: 'Memory', show: false },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
localStorage.setItem(storageKey, JSON.stringify(stored));
|
||||
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).not.toBeNull();
|
||||
expect(result).toEqual({
|
||||
labels: ['CPU', 'CPU', 'Memory'],
|
||||
visibility: [true, false, false],
|
||||
});
|
||||
});
|
||||
|
||||
it('returns null on malformed JSON in localStorage', () => {
|
||||
localStorage.setItem(storageKey, '{invalid-json');
|
||||
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null when widget id is not found', () => {
|
||||
const stored: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'another-widget',
|
||||
dataIndex: [{ label: 'CPU', show: true }],
|
||||
},
|
||||
];
|
||||
|
||||
localStorage.setItem(storageKey, JSON.stringify(stored));
|
||||
|
||||
const result = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(result).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('updateSeriesVisibilityToLocalStorage', () => {
|
||||
it('creates new visibility state when none exists', () => {
|
||||
const seriesVisibility = [
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: false },
|
||||
];
|
||||
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', seriesVisibility);
|
||||
|
||||
const stored = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(stored).not.toBeNull();
|
||||
expect(stored).toEqual({
|
||||
labels: ['CPU', 'Memory'],
|
||||
visibility: [true, false],
|
||||
});
|
||||
});
|
||||
|
||||
it('adds a new widget entry when other widgets already exist', () => {
|
||||
const existing: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'widget-existing',
|
||||
dataIndex: [{ label: 'Errors', show: true }],
|
||||
},
|
||||
];
|
||||
localStorage.setItem(storageKey, JSON.stringify(existing));
|
||||
|
||||
const newVisibility = [{ label: 'CPU', show: false }];
|
||||
|
||||
updateSeriesVisibilityToLocalStorage('widget-new', newVisibility);
|
||||
|
||||
const stored = getStoredSeriesVisibility('widget-new');
|
||||
|
||||
expect(stored).not.toBeNull();
|
||||
expect(stored).toEqual({ labels: ['CPU'], visibility: [false] });
|
||||
});
|
||||
|
||||
it('updates existing widget visibility when entry already exists', () => {
|
||||
const initialVisibility: GraphVisibilityState[] = [
|
||||
{
|
||||
name: 'widget-1',
|
||||
dataIndex: [
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: true },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
localStorage.setItem(storageKey, JSON.stringify(initialVisibility));
|
||||
|
||||
const updatedVisibility = [
|
||||
{ label: 'CPU', show: false },
|
||||
{ label: 'Memory', show: true },
|
||||
];
|
||||
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', updatedVisibility);
|
||||
|
||||
const stored = getStoredSeriesVisibility('widget-1');
|
||||
|
||||
expect(stored).not.toBeNull();
|
||||
expect(stored).toEqual({
|
||||
labels: ['CPU', 'Memory'],
|
||||
visibility: [false, true],
|
||||
});
|
||||
});
|
||||
|
||||
it('silently handles malformed existing JSON without throwing', () => {
|
||||
localStorage.setItem(storageKey, '{invalid-json');
|
||||
|
||||
expect(() =>
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', [
|
||||
{ label: 'CPU', show: true },
|
||||
]),
|
||||
).not.toThrow();
|
||||
});
|
||||
|
||||
it('when existing JSON is malformed, overwrites with valid data for the widget', () => {
|
||||
localStorage.setItem(storageKey, '{invalid-json');
|
||||
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: false },
|
||||
]);
|
||||
|
||||
const stored = getStoredSeriesVisibility('widget-1');
|
||||
expect(stored).not.toBeNull();
|
||||
expect(stored).toEqual({
|
||||
labels: ['x-axis', 'CPU'],
|
||||
visibility: [true, false],
|
||||
});
|
||||
const expected = [
|
||||
{
|
||||
name: 'widget-1',
|
||||
dataIndex: [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: false },
|
||||
],
|
||||
},
|
||||
];
|
||||
expect(localStorage.setItem).toHaveBeenCalledWith(
|
||||
storageKey,
|
||||
JSON.stringify(expected),
|
||||
);
|
||||
});
|
||||
|
||||
it('preserves other widgets when updating one widget', () => {
|
||||
const existing: GraphVisibilityState[] = [
|
||||
{ name: 'widget-a', dataIndex: [{ label: 'A', show: true }] },
|
||||
{ name: 'widget-b', dataIndex: [{ label: 'B', show: false }] },
|
||||
];
|
||||
localStorage.setItem(storageKey, JSON.stringify(existing));
|
||||
|
||||
updateSeriesVisibilityToLocalStorage('widget-b', [
|
||||
{ label: 'B', show: true },
|
||||
]);
|
||||
|
||||
expect(getStoredSeriesVisibility('widget-a')).toEqual({
|
||||
labels: ['A'],
|
||||
visibility: [true],
|
||||
});
|
||||
expect(getStoredSeriesVisibility('widget-b')).toEqual({
|
||||
labels: ['B'],
|
||||
visibility: [true],
|
||||
});
|
||||
});
|
||||
|
||||
it('calls setItem with storage key and stringified visibility states', () => {
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', [
|
||||
{ label: 'CPU', show: true },
|
||||
]);
|
||||
|
||||
expect(localStorage.setItem).toHaveBeenCalledTimes(1);
|
||||
expect(localStorage.setItem).toHaveBeenCalledWith(
|
||||
storageKey,
|
||||
expect.any(String),
|
||||
);
|
||||
const [_, value] = (localStorage.setItem as jest.Mock).mock.calls[0];
|
||||
expect((): void => JSON.parse(value)).not.toThrow();
|
||||
expect(JSON.parse(value)).toEqual([
|
||||
{ name: 'widget-1', dataIndex: [{ label: 'CPU', show: true }] },
|
||||
]);
|
||||
});
|
||||
|
||||
it('stores empty dataIndex when seriesVisibility is empty', () => {
|
||||
updateSeriesVisibilityToLocalStorage('widget-1', []);
|
||||
|
||||
const raw = localStorage.getItem(storageKey);
|
||||
expect(raw).not.toBeNull();
|
||||
const parsed = JSON.parse(raw ?? '[]');
|
||||
expect(parsed).toEqual([{ name: 'widget-1', dataIndex: [] }]);
|
||||
expect(getStoredSeriesVisibility('widget-1')).toBeNull();
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -88,7 +88,7 @@ export function buildBaseConfig({
|
||||
max: undefined,
|
||||
softMin: widget.softMin ?? undefined,
|
||||
softMax: widget.softMax ?? undefined,
|
||||
// thresholds,
|
||||
thresholds: thresholdOptions,
|
||||
logBase: widget.isLogScale ? 10 : undefined,
|
||||
distribution: widget.isLogScale
|
||||
? DistributionType.Logarithmic
|
||||
|
||||
@@ -1,15 +1,20 @@
|
||||
import { LOCALSTORAGE } from 'constants/localStorage';
|
||||
|
||||
import { GraphVisibilityState, SeriesVisibilityItem } from '../types';
|
||||
import {
|
||||
GraphVisibilityState,
|
||||
SeriesVisibilityItem,
|
||||
SeriesVisibilityState,
|
||||
} from '../types';
|
||||
|
||||
/**
|
||||
* Retrieves the visibility map for a specific widget from localStorage
|
||||
* Retrieves the stored series visibility for a specific widget from localStorage by index.
|
||||
* Index 0 is the x-axis (time); indices 1, 2, ... are data series (same order as uPlot plot.series).
|
||||
* @param widgetId - The unique identifier of the widget
|
||||
* @returns A Map of series labels to their visibility state, or null if not found
|
||||
* @returns visibility[i] = show state for series at index i, or null if not found
|
||||
*/
|
||||
export function getStoredSeriesVisibility(
|
||||
widgetId: string,
|
||||
): Map<string, boolean> | null {
|
||||
): SeriesVisibilityState | null {
|
||||
try {
|
||||
const storedData = localStorage.getItem(LOCALSTORAGE.GRAPH_VISIBILITY_STATES);
|
||||
|
||||
@@ -24,8 +29,15 @@ export function getStoredSeriesVisibility(
|
||||
return null;
|
||||
}
|
||||
|
||||
return new Map(widgetState.dataIndex.map((item) => [item.label, item.show]));
|
||||
} catch {
|
||||
return {
|
||||
labels: widgetState.dataIndex.map((item) => item.label),
|
||||
visibility: widgetState.dataIndex.map((item) => item.show),
|
||||
};
|
||||
} catch (error) {
|
||||
if (error instanceof SyntaxError) {
|
||||
// If the stored data is malformed, remove it
|
||||
localStorage.removeItem(LOCALSTORAGE.GRAPH_VISIBILITY_STATES);
|
||||
}
|
||||
// Silently handle parsing errors - fall back to default visibility
|
||||
return null;
|
||||
}
|
||||
@@ -35,40 +47,31 @@ export function updateSeriesVisibilityToLocalStorage(
|
||||
widgetId: string,
|
||||
seriesVisibility: SeriesVisibilityItem[],
|
||||
): void {
|
||||
let visibilityStates: GraphVisibilityState[] = [];
|
||||
try {
|
||||
const storedData = localStorage.getItem(LOCALSTORAGE.GRAPH_VISIBILITY_STATES);
|
||||
|
||||
let visibilityStates: GraphVisibilityState[];
|
||||
|
||||
if (!storedData) {
|
||||
visibilityStates = [
|
||||
{
|
||||
name: widgetId,
|
||||
dataIndex: seriesVisibility,
|
||||
},
|
||||
];
|
||||
} else {
|
||||
visibilityStates = JSON.parse(storedData);
|
||||
visibilityStates = JSON.parse(storedData || '[]');
|
||||
} catch (error) {
|
||||
if (error instanceof SyntaxError) {
|
||||
visibilityStates = [];
|
||||
}
|
||||
const widgetState = visibilityStates.find((state) => state.name === widgetId);
|
||||
|
||||
if (!widgetState) {
|
||||
visibilityStates = [
|
||||
...visibilityStates,
|
||||
{
|
||||
name: widgetId,
|
||||
dataIndex: seriesVisibility,
|
||||
},
|
||||
];
|
||||
} else {
|
||||
widgetState.dataIndex = seriesVisibility;
|
||||
}
|
||||
|
||||
localStorage.setItem(
|
||||
LOCALSTORAGE.GRAPH_VISIBILITY_STATES,
|
||||
JSON.stringify(visibilityStates),
|
||||
);
|
||||
} catch {
|
||||
// Silently handle parsing errors - fall back to default visibility
|
||||
}
|
||||
const widgetState = visibilityStates.find((state) => state.name === widgetId);
|
||||
|
||||
if (widgetState) {
|
||||
widgetState.dataIndex = seriesVisibility;
|
||||
} else {
|
||||
visibilityStates = [
|
||||
...visibilityStates,
|
||||
{
|
||||
name: widgetId,
|
||||
dataIndex: seriesVisibility,
|
||||
},
|
||||
];
|
||||
}
|
||||
|
||||
localStorage.setItem(
|
||||
LOCALSTORAGE.GRAPH_VISIBILITY_STATES,
|
||||
JSON.stringify(visibilityStates),
|
||||
);
|
||||
}
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
|
||||
import TimeSeriesPanel from '../DashboardContainer/visualization/panels/TimeSeriesPanel/TimeSeriesPanel';
|
||||
import HistogramPanelWrapper from './HistogramPanelWrapper';
|
||||
import ListPanelWrapper from './ListPanelWrapper';
|
||||
import PiePanelWrapper from './PiePanelWrapper';
|
||||
@@ -8,7 +9,7 @@ import UplotPanelWrapper from './UplotPanelWrapper';
|
||||
import ValuePanelWrapper from './ValuePanelWrapper';
|
||||
|
||||
export const PanelTypeVsPanelWrapper = {
|
||||
[PANEL_TYPES.TIME_SERIES]: UplotPanelWrapper,
|
||||
[PANEL_TYPES.TIME_SERIES]: TimeSeriesPanel,
|
||||
[PANEL_TYPES.TABLE]: TablePanelWrapper,
|
||||
[PANEL_TYPES.LIST]: ListPanelWrapper,
|
||||
[PANEL_TYPES.VALUE]: ValuePanelWrapper,
|
||||
|
||||
@@ -5,8 +5,8 @@ import cx from 'classnames';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import { LegendPosition, LegendProps } from '../types';
|
||||
import { useLegendActions } from './useLegendActions';
|
||||
|
||||
import './Legend.styles.scss';
|
||||
|
||||
@@ -106,6 +106,7 @@ export default function Legend({
|
||||
placeholder="Search..."
|
||||
value={legendSearchQuery}
|
||||
onChange={(e): void => setLegendSearchQuery(e.target.value)}
|
||||
data-testid="legend-search-input"
|
||||
className="legend-search-input"
|
||||
/>
|
||||
</div>
|
||||
|
||||
213
frontend/src/lib/uPlotV2/components/__tests__/Legend.test.tsx
Normal file
213
frontend/src/lib/uPlotV2/components/__tests__/Legend.test.tsx
Normal file
@@ -0,0 +1,213 @@
|
||||
import React from 'react';
|
||||
import { render, RenderResult, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import Legend from '../Legend/Legend';
|
||||
import { LegendPosition } from '../types';
|
||||
|
||||
jest.mock('react-virtuoso', () => ({
|
||||
VirtuosoGrid: ({
|
||||
data,
|
||||
itemContent,
|
||||
className,
|
||||
}: {
|
||||
data: LegendItem[];
|
||||
itemContent: (index: number, item: LegendItem) => React.ReactNode;
|
||||
className?: string;
|
||||
}): JSX.Element => (
|
||||
<div data-testid="virtuoso-grid" className={className}>
|
||||
{data.map((item, index) => (
|
||||
<div key={item.seriesIndex ?? index} data-testid="legend-item-wrapper">
|
||||
{itemContent(index, item)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
),
|
||||
}));
|
||||
|
||||
jest.mock('lib/uPlotV2/hooks/useLegendsSync');
|
||||
jest.mock('lib/uPlotV2/hooks/useLegendActions');
|
||||
|
||||
const mockUseLegendsSync = useLegendsSync as jest.MockedFunction<
|
||||
typeof useLegendsSync
|
||||
>;
|
||||
const mockUseLegendActions = useLegendActions as jest.MockedFunction<
|
||||
typeof useLegendActions
|
||||
>;
|
||||
|
||||
describe('Legend', () => {
|
||||
const baseLegendItemsMap = {
|
||||
0: {
|
||||
seriesIndex: 0,
|
||||
label: 'A',
|
||||
show: true,
|
||||
color: '#ff0000',
|
||||
},
|
||||
1: {
|
||||
seriesIndex: 1,
|
||||
label: 'B',
|
||||
show: false,
|
||||
color: '#00ff00',
|
||||
},
|
||||
2: {
|
||||
seriesIndex: 2,
|
||||
label: 'C',
|
||||
show: true,
|
||||
color: '#0000ff',
|
||||
},
|
||||
};
|
||||
|
||||
let onLegendClick: jest.Mock;
|
||||
let onLegendMouseMove: jest.Mock;
|
||||
let onLegendMouseLeave: jest.Mock;
|
||||
let onFocusSeries: jest.Mock;
|
||||
|
||||
beforeEach(() => {
|
||||
onLegendClick = jest.fn();
|
||||
onLegendMouseMove = jest.fn();
|
||||
onLegendMouseLeave = jest.fn();
|
||||
onFocusSeries = jest.fn();
|
||||
|
||||
mockUseLegendsSync.mockReturnValue({
|
||||
legendItemsMap: baseLegendItemsMap,
|
||||
focusedSeriesIndex: 1,
|
||||
setFocusedSeriesIndex: jest.fn(),
|
||||
});
|
||||
|
||||
mockUseLegendActions.mockReturnValue({
|
||||
onLegendClick,
|
||||
onLegendMouseMove,
|
||||
onLegendMouseLeave,
|
||||
onFocusSeries,
|
||||
});
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
const renderLegend = (position?: LegendPosition): RenderResult =>
|
||||
render(
|
||||
<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', () => {
|
||||
it('renders search input when legend position is RIGHT', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
expect(screen.getByTestId('legend-search-input')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('does not render search input when legend position is BOTTOM (default)', () => {
|
||||
renderLegend();
|
||||
|
||||
expect(screen.queryByTestId('legend-search-input')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('renders the marker with the correct border color', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const legendMarker = document.querySelector(
|
||||
'[data-legend-item-id="0"] [data-is-legend-marker="true"]',
|
||||
) as HTMLElement;
|
||||
|
||||
expect(legendMarker).toHaveStyle({
|
||||
'border-color': '#ff0000',
|
||||
});
|
||||
});
|
||||
|
||||
it('renders all legend items in the grid by default', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
expect(screen.getByTestId('virtuoso-grid')).toBeInTheDocument();
|
||||
expect(screen.getByText('A')).toBeInTheDocument();
|
||||
expect(screen.getByText('B')).toBeInTheDocument();
|
||||
expect(screen.getByText('C')).toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
|
||||
describe('search behavior (RIGHT position)', () => {
|
||||
it('filters legend items based on search query (case-insensitive)', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const searchInput = screen.getByTestId('legend-search-input');
|
||||
await user.type(searchInput, 'A');
|
||||
|
||||
expect(screen.getByText('A')).toBeInTheDocument();
|
||||
expect(screen.queryByText('B')).not.toBeInTheDocument();
|
||||
expect(screen.queryByText('C')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('shows empty state when no legend items match the search query', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const searchInput = screen.getByTestId('legend-search-input');
|
||||
await user.type(searchInput, 'network');
|
||||
|
||||
expect(
|
||||
screen.getByText(/No series found matching "network"/i),
|
||||
).toBeInTheDocument();
|
||||
expect(screen.queryByTestId('virtuoso-grid')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('does not filter or show empty state when search query is empty or only whitespace', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const searchInput = screen.getByTestId('legend-search-input');
|
||||
await user.type(searchInput, ' ');
|
||||
|
||||
expect(
|
||||
screen.queryByText(/No series found matching/i),
|
||||
).not.toBeInTheDocument();
|
||||
expect(screen.getByText('A')).toBeInTheDocument();
|
||||
expect(screen.getByText('B')).toBeInTheDocument();
|
||||
expect(screen.getByText('C')).toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
|
||||
describe('legend actions', () => {
|
||||
it('calls onLegendClick when a legend item is clicked', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
await user.click(screen.getByText('A'));
|
||||
|
||||
expect(onLegendClick).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
|
||||
it('calls mouseMove when the mouse moves over a legend item', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const legendItem = document.querySelector(
|
||||
'[data-legend-item-id="0"]',
|
||||
) as HTMLElement;
|
||||
|
||||
await user.hover(legendItem);
|
||||
|
||||
expect(onLegendMouseMove).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
|
||||
it('calls onLegendMouseLeave when the mouse leaves the legend container', async () => {
|
||||
const user = userEvent.setup();
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const container = document.querySelector('.legend-container') as HTMLElement;
|
||||
|
||||
await user.hover(container);
|
||||
await user.unhover(container);
|
||||
|
||||
expect(onLegendMouseLeave).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -4,12 +4,12 @@ import uPlot, { Axis } from 'uplot';
|
||||
|
||||
import { uPlotXAxisValuesFormat } from '../../uPlotLib/utils/constants';
|
||||
import getGridColor from '../../uPlotLib/utils/getGridColor';
|
||||
import { buildYAxisSizeCalculator } from '../utils/axis';
|
||||
import { AxisProps, ConfigBuilder } from './types';
|
||||
|
||||
const PANEL_TYPES_WITH_X_AXIS_DATETIME_FORMAT = [
|
||||
PANEL_TYPES.TIME_SERIES,
|
||||
PANEL_TYPES.BAR,
|
||||
PANEL_TYPES.PIE,
|
||||
];
|
||||
|
||||
/**
|
||||
@@ -114,81 +114,6 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
: undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate axis size from existing size property
|
||||
*/
|
||||
private getExistingAxisSize(
|
||||
self: uPlot,
|
||||
axis: Axis,
|
||||
values: string[] | undefined,
|
||||
axisIdx: number,
|
||||
cycleNum: number,
|
||||
): number {
|
||||
const internalSize = (axis as { _size?: number })._size;
|
||||
if (internalSize !== undefined) {
|
||||
return internalSize;
|
||||
}
|
||||
|
||||
const existingSize = axis.size;
|
||||
if (typeof existingSize === 'function') {
|
||||
return existingSize(self, values ?? [], axisIdx, cycleNum);
|
||||
}
|
||||
|
||||
return existingSize ?? 0;
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate text width for longest value
|
||||
*/
|
||||
private calculateTextWidth(
|
||||
self: uPlot,
|
||||
axis: Axis,
|
||||
values: string[] | undefined,
|
||||
): number {
|
||||
if (!values || values.length === 0) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
// Find longest value
|
||||
const longestVal = values.reduce(
|
||||
(acc, val) => (val.length > acc.length ? val : acc),
|
||||
'',
|
||||
);
|
||||
|
||||
if (longestVal === '' || !axis.font?.[0]) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
// eslint-disable-next-line prefer-destructuring, no-param-reassign
|
||||
self.ctx.font = axis.font[0];
|
||||
return self.ctx.measureText(longestVal).width / devicePixelRatio;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build Y-axis dynamic size calculator
|
||||
*/
|
||||
private buildYAxisSizeCalculator(): uPlot.Axis.Size {
|
||||
return (
|
||||
self: uPlot,
|
||||
values: string[] | undefined,
|
||||
axisIdx: number,
|
||||
cycleNum: number,
|
||||
): number => {
|
||||
const axis = self.axes[axisIdx];
|
||||
|
||||
// Bail out, force convergence
|
||||
if (cycleNum > 1) {
|
||||
return this.getExistingAxisSize(self, axis, values, axisIdx, cycleNum);
|
||||
}
|
||||
|
||||
const gap = this.props.gap ?? 5;
|
||||
let axisSize = (axis.ticks?.size ?? 0) + gap;
|
||||
axisSize += this.calculateTextWidth(self, axis, values);
|
||||
|
||||
return Math.ceil(axisSize);
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Build dynamic size calculator for Y-axis
|
||||
*/
|
||||
@@ -202,7 +127,7 @@ export class UPlotAxisBuilder extends ConfigBuilder<AxisProps, Axis> {
|
||||
|
||||
// Y-axis needs dynamic sizing based on text width
|
||||
if (scaleKey === 'y') {
|
||||
return this.buildYAxisSizeCalculator();
|
||||
return buildYAxisSizeCalculator(this.props.gap ?? 5);
|
||||
}
|
||||
|
||||
return undefined;
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import { SeriesVisibilityState } from 'container/DashboardContainer/visualization/panels/types';
|
||||
import { getStoredSeriesVisibility } from 'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils';
|
||||
import { ThresholdsDrawHookOptions } from 'lib/uPlotV2/hooks/types';
|
||||
import { thresholdsDrawHook } from 'lib/uPlotV2/hooks/useThresholdsDrawHook';
|
||||
@@ -235,9 +236,9 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns stored series visibility map from localStorage when preferences source is LOCAL_STORAGE, otherwise null.
|
||||
* Returns stored series visibility by index from localStorage when preferences source is LOCAL_STORAGE, otherwise null.
|
||||
*/
|
||||
private getStoredVisibilityMap(): Map<string, boolean> | null {
|
||||
private getStoredVisibility(): SeriesVisibilityState | null {
|
||||
if (
|
||||
this.widgetId &&
|
||||
this.selectionPreferencesSource === SelectionPreferencesSource.LOCAL_STORAGE
|
||||
@@ -251,22 +252,23 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
* Get legend items with visibility state restored from localStorage if available
|
||||
*/
|
||||
getLegendItems(): Record<number, LegendItem> {
|
||||
const visibilityMap = this.getStoredVisibilityMap();
|
||||
const isAnySeriesHidden = !!(
|
||||
visibilityMap && Array.from(visibilityMap.values()).some((show) => !show)
|
||||
const seriesVisibilityState = this.getStoredVisibility();
|
||||
const isAnySeriesHidden = !!seriesVisibilityState?.visibility?.some(
|
||||
(show) => !show,
|
||||
);
|
||||
|
||||
return this.series.reduce((acc, s: UPlotSeriesBuilder, index: number) => {
|
||||
const seriesConfig = s.getConfig();
|
||||
const label = seriesConfig.label ?? '';
|
||||
const seriesIndex = index + 1; // +1 because the first series is the timestamp
|
||||
|
||||
const show = resolveSeriesVisibility(
|
||||
label,
|
||||
seriesConfig.show,
|
||||
visibilityMap,
|
||||
// +1 because uPlot series 0 is x-axis/time; data series are at 1, 2, ... (also matches stored visibility[0]=time, visibility[1]=first data, ...)
|
||||
const seriesIndex = index + 1;
|
||||
const show = resolveSeriesVisibility({
|
||||
seriesIndex,
|
||||
seriesShow: seriesConfig.show,
|
||||
seriesLabel: label,
|
||||
seriesVisibilityState,
|
||||
isAnySeriesHidden,
|
||||
);
|
||||
});
|
||||
|
||||
acc[seriesIndex] = {
|
||||
seriesIndex,
|
||||
@@ -294,22 +296,23 @@ export class UPlotConfigBuilder extends ConfigBuilder<
|
||||
...DEFAULT_PLOT_CONFIG,
|
||||
};
|
||||
|
||||
const visibilityMap = this.getStoredVisibilityMap();
|
||||
const isAnySeriesHidden = !!(
|
||||
visibilityMap && Array.from(visibilityMap.values()).some((show) => !show)
|
||||
const seriesVisibilityState = this.getStoredVisibility();
|
||||
const isAnySeriesHidden = !!seriesVisibilityState?.visibility?.some(
|
||||
(show) => !show,
|
||||
);
|
||||
|
||||
config.series = [
|
||||
{ value: (): string => '' }, // Base series for timestamp
|
||||
...this.series.map((s) => {
|
||||
...this.series.map((s, index) => {
|
||||
const series = s.getConfig();
|
||||
const label = series.label ?? '';
|
||||
const visible = resolveSeriesVisibility(
|
||||
label,
|
||||
series.show,
|
||||
visibilityMap,
|
||||
// Stored visibility[0] is x-axis/time; data series start at visibility[1]
|
||||
const visible = resolveSeriesVisibility({
|
||||
seriesIndex: index + 1,
|
||||
seriesShow: series.show,
|
||||
seriesLabel: series.label ?? '',
|
||||
seriesVisibilityState,
|
||||
isAnySeriesHidden,
|
||||
);
|
||||
});
|
||||
return {
|
||||
...series,
|
||||
show: visible,
|
||||
|
||||
@@ -15,7 +15,33 @@ import {
|
||||
* Builder for uPlot series configuration
|
||||
* Handles creation of series settings
|
||||
*/
|
||||
|
||||
/**
|
||||
* Path builders are static and shared across all instances of UPlotSeriesBuilder
|
||||
*/
|
||||
let builders: PathBuilders | null = null;
|
||||
export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
constructor(props: SeriesProps) {
|
||||
super(props);
|
||||
const pathBuilders = uPlot.paths;
|
||||
|
||||
if (!builders) {
|
||||
const linearBuilder = pathBuilders.linear;
|
||||
const splineBuilder = pathBuilders.spline;
|
||||
const steppedBuilder = pathBuilders.stepped;
|
||||
|
||||
if (!linearBuilder || !splineBuilder || !steppedBuilder) {
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
builders = {
|
||||
linear: linearBuilder(),
|
||||
spline: splineBuilder(),
|
||||
stepBefore: steppedBuilder({ align: -1 }),
|
||||
stepAfter: steppedBuilder({ align: 1 }),
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
private buildLineConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
@@ -198,8 +224,6 @@ interface PathBuilders {
|
||||
[key: string]: Series.PathBuilder;
|
||||
}
|
||||
|
||||
let builders: PathBuilders | null = null;
|
||||
|
||||
/**
|
||||
* Get path builder based on draw style and interpolation
|
||||
*/
|
||||
@@ -207,23 +231,8 @@ function getPathBuilder(
|
||||
style: DrawStyle,
|
||||
lineInterpolation?: LineInterpolation,
|
||||
): Series.PathBuilder {
|
||||
const pathBuilders = uPlot.paths;
|
||||
|
||||
if (!builders) {
|
||||
const linearBuilder = pathBuilders.linear;
|
||||
const splineBuilder = pathBuilders.spline;
|
||||
const steppedBuilder = pathBuilders.stepped;
|
||||
|
||||
if (!linearBuilder || !splineBuilder || !steppedBuilder) {
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
|
||||
builders = {
|
||||
linear: linearBuilder(),
|
||||
spline: splineBuilder(),
|
||||
stepBefore: steppedBuilder({ align: -1 }),
|
||||
stepAfter: steppedBuilder({ align: 1 }),
|
||||
};
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
|
||||
if (style === DrawStyle.Line) {
|
||||
|
||||
@@ -0,0 +1,393 @@
|
||||
import { getToolTipValue } from 'components/Graph/yAxisConfig';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { uPlotXAxisValuesFormat } from 'lib/uPlotLib/utils/constants';
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import type { AxisProps } from '../types';
|
||||
import { UPlotAxisBuilder } from '../UPlotAxisBuilder';
|
||||
|
||||
jest.mock('components/Graph/yAxisConfig', () => ({
|
||||
getToolTipValue: jest.fn(),
|
||||
}));
|
||||
|
||||
const createAxisProps = (overrides: Partial<AxisProps> = {}): AxisProps => ({
|
||||
scaleKey: 'x',
|
||||
label: 'Time',
|
||||
isDarkMode: false,
|
||||
show: true,
|
||||
...overrides,
|
||||
});
|
||||
|
||||
describe('UPlotAxisBuilder', () => {
|
||||
beforeEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
it('builds basic axis config with defaults', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
label: 'Time',
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.scale).toBe('x');
|
||||
expect(config.label).toBe('Time');
|
||||
expect(config.show).toBe(true);
|
||||
expect(config.side).toBe(2);
|
||||
expect(config.gap).toBe(5);
|
||||
|
||||
// Default grid and ticks are created
|
||||
expect(config.grid).toEqual({
|
||||
stroke: 'rgba(0,0,0,0.5)',
|
||||
width: 0.2,
|
||||
show: true,
|
||||
});
|
||||
expect(config.ticks).toEqual({
|
||||
width: 0.3,
|
||||
show: true,
|
||||
});
|
||||
});
|
||||
|
||||
it('sets config values when provided', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
label: 'Time',
|
||||
show: false,
|
||||
side: 0,
|
||||
gap: 10,
|
||||
grid: {
|
||||
stroke: '#ff0000',
|
||||
width: 1,
|
||||
show: false,
|
||||
},
|
||||
ticks: {
|
||||
stroke: '#00ff00',
|
||||
width: 1,
|
||||
show: false,
|
||||
size: 10,
|
||||
},
|
||||
values: ['1', '2', '3'],
|
||||
space: 20,
|
||||
size: 100,
|
||||
stroke: '#0000ff',
|
||||
}),
|
||||
);
|
||||
const config = builder.getConfig();
|
||||
expect(config.scale).toBe('x');
|
||||
expect(config.label).toBe('Time');
|
||||
expect(config.show).toBe(false);
|
||||
expect(config.gap).toBe(10);
|
||||
expect(config.grid).toEqual({
|
||||
stroke: '#ff0000',
|
||||
width: 1,
|
||||
show: false,
|
||||
});
|
||||
expect(config.ticks).toEqual({
|
||||
stroke: '#00ff00',
|
||||
width: 1,
|
||||
show: false,
|
||||
size: 10,
|
||||
});
|
||||
expect(config.values).toEqual(['1', '2', '3']);
|
||||
expect(config.space).toBe(20);
|
||||
expect(config.size).toBe(100);
|
||||
expect(config.stroke).toBe('#0000ff');
|
||||
});
|
||||
|
||||
it('merges custom grid config over defaults and respects isDarkMode and isLogScale', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
isDarkMode: true,
|
||||
isLogScale: true,
|
||||
grid: {
|
||||
width: 1,
|
||||
},
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.grid).toEqual({
|
||||
// stroke falls back to theme-based default when not provided
|
||||
stroke: 'rgba(231,233,237,0.3)',
|
||||
// provided width overrides default
|
||||
width: 1,
|
||||
// show falls back to default when not provided
|
||||
show: true,
|
||||
});
|
||||
});
|
||||
|
||||
it('uses provided ticks config when present and falls back to defaults otherwise', () => {
|
||||
const customTicks = { width: 1, show: false };
|
||||
const withTicks = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
ticks: customTicks,
|
||||
}),
|
||||
);
|
||||
const withoutTicks = new UPlotAxisBuilder(createAxisProps());
|
||||
|
||||
expect(withTicks.getConfig().ticks).toBe(customTicks);
|
||||
expect(withoutTicks.getConfig().ticks).toEqual({
|
||||
width: 0.3,
|
||||
show: true,
|
||||
});
|
||||
});
|
||||
|
||||
it('uses time-based X-axis values formatter for time-series like panels', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
panelType: PANEL_TYPES.TIME_SERIES,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.values).toBe(uPlotXAxisValuesFormat);
|
||||
});
|
||||
|
||||
it('does not attach X-axis datetime formatter when panel type is not supported', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
panelType: PANEL_TYPES.LIST, // not in PANEL_TYPES_WITH_X_AXIS_DATETIME_FORMAT
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.values).toBeUndefined();
|
||||
});
|
||||
|
||||
it('builds Y-axis values formatter that delegates to getToolTipValue', () => {
|
||||
const yBuilder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'y',
|
||||
yAxisUnit: 'ms',
|
||||
decimalPrecision: 3,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = yBuilder.getConfig();
|
||||
expect(typeof config.values).toBe('function');
|
||||
|
||||
(getToolTipValue as jest.Mock).mockImplementation(
|
||||
(value: string, unit?: string, precision?: unknown) =>
|
||||
`formatted:${value}:${unit}:${precision}`,
|
||||
);
|
||||
|
||||
// Simulate uPlot calling the values formatter
|
||||
const valuesFn = (config.values as unknown) as (
|
||||
self: uPlot,
|
||||
vals: unknown[],
|
||||
) => string[];
|
||||
const result = valuesFn({} as uPlot, [1, null, 2, Number.NaN]);
|
||||
|
||||
expect(getToolTipValue).toHaveBeenCalledTimes(2);
|
||||
expect(getToolTipValue).toHaveBeenNthCalledWith(1, '1', 'ms', 3);
|
||||
expect(getToolTipValue).toHaveBeenNthCalledWith(2, '2', 'ms', 3);
|
||||
|
||||
// Null/NaN values should map to empty strings
|
||||
expect(result).toEqual(['formatted:1:ms:3', '', 'formatted:2:ms:3', '']);
|
||||
});
|
||||
|
||||
it('adds dynamic size calculator only for Y-axis when size is not provided', () => {
|
||||
const yBuilder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'y',
|
||||
}),
|
||||
);
|
||||
const xBuilder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
}),
|
||||
);
|
||||
|
||||
const yConfig = yBuilder.getConfig();
|
||||
const xConfig = xBuilder.getConfig();
|
||||
|
||||
expect(typeof yConfig.size).toBe('function');
|
||||
expect(xConfig.size).toBeUndefined();
|
||||
});
|
||||
|
||||
it('uses explicit size function when provided', () => {
|
||||
const sizeFn: uPlot.Axis.Size = jest.fn(() => 100) as uPlot.Axis.Size;
|
||||
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'y',
|
||||
size: sizeFn,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
expect(config.size).toBe(sizeFn);
|
||||
});
|
||||
|
||||
it('builds stroke color based on stroke and isDarkMode', () => {
|
||||
const explicitStroke = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
stroke: '#ff0000',
|
||||
}),
|
||||
);
|
||||
const darkStroke = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
stroke: undefined,
|
||||
isDarkMode: true,
|
||||
}),
|
||||
);
|
||||
const lightStroke = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
stroke: undefined,
|
||||
isDarkMode: false,
|
||||
}),
|
||||
);
|
||||
|
||||
expect(explicitStroke.getConfig().stroke).toBe('#ff0000');
|
||||
expect(darkStroke.getConfig().stroke).toBe('white');
|
||||
expect(lightStroke.getConfig().stroke).toBe('black');
|
||||
});
|
||||
|
||||
it('uses explicit values formatter when provided', () => {
|
||||
const customValues: uPlot.Axis.Values = jest.fn(() => ['a', 'b', 'c']);
|
||||
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'y',
|
||||
values: customValues,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.values).toBe(customValues);
|
||||
});
|
||||
|
||||
it('returns undefined values for scaleKey neither x nor y', () => {
|
||||
const builder = new UPlotAxisBuilder(createAxisProps({ scaleKey: 'custom' }));
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.values).toBeUndefined();
|
||||
});
|
||||
|
||||
it('includes space in config when provided', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'y', space: 50 }),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.space).toBe(50);
|
||||
});
|
||||
|
||||
it('includes PANEL_TYPES.BAR and PANEL_TYPES.TIME_SERIES in X-axis datetime formatter', () => {
|
||||
const barBuilder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
panelType: PANEL_TYPES.BAR,
|
||||
}),
|
||||
);
|
||||
expect(barBuilder.getConfig().values).toBe(uPlotXAxisValuesFormat);
|
||||
|
||||
const timeSeriesBuilder = new UPlotAxisBuilder(
|
||||
createAxisProps({
|
||||
scaleKey: 'x',
|
||||
panelType: PANEL_TYPES.TIME_SERIES,
|
||||
}),
|
||||
);
|
||||
expect(timeSeriesBuilder.getConfig().values).toBe(uPlotXAxisValuesFormat);
|
||||
});
|
||||
|
||||
it('should return the existing size when cycleNum > 1', () => {
|
||||
const builder = new UPlotAxisBuilder(createAxisProps({ scaleKey: 'y' }));
|
||||
|
||||
const config = builder.getConfig();
|
||||
const sizeFn = config.size;
|
||||
expect(typeof sizeFn).toBe('function');
|
||||
|
||||
const mockAxis = {
|
||||
_size: 80,
|
||||
ticks: { size: 10 },
|
||||
font: ['12px sans-serif'],
|
||||
};
|
||||
const mockSelf = ({
|
||||
axes: [mockAxis],
|
||||
ctx: { measureText: jest.fn(() => ({ width: 60 })), font: '' },
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const result = (sizeFn as (
|
||||
s: uPlot,
|
||||
v: string[],
|
||||
a: number,
|
||||
c: number,
|
||||
) => number)(
|
||||
mockSelf,
|
||||
['100', '200'],
|
||||
0,
|
||||
2, // cycleNum > 1
|
||||
);
|
||||
|
||||
expect(result).toBe(80);
|
||||
});
|
||||
|
||||
it('should invoke the size calculator and compute from text width when cycleNum <= 1', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'y', gap: 8 }),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const sizeFn = config.size;
|
||||
expect(typeof sizeFn).toBe('function');
|
||||
|
||||
const mockAxis = {
|
||||
ticks: { size: 12 },
|
||||
font: ['12px sans-serif'],
|
||||
};
|
||||
const measureText = jest.fn(() => ({ width: 48 }));
|
||||
const mockSelf = ({
|
||||
axes: [mockAxis],
|
||||
ctx: {
|
||||
measureText,
|
||||
get font() {
|
||||
return '';
|
||||
},
|
||||
set font(_v: string) {
|
||||
/* noop */
|
||||
},
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const result = (sizeFn as (
|
||||
s: uPlot,
|
||||
v: string[],
|
||||
a: number,
|
||||
c: number,
|
||||
) => number)(
|
||||
mockSelf,
|
||||
['10', '2000ms'],
|
||||
0,
|
||||
0, // cycleNum <= 1
|
||||
);
|
||||
|
||||
expect(measureText).toHaveBeenCalledWith('2000ms');
|
||||
expect(result).toBeGreaterThanOrEqual(12 + 8);
|
||||
});
|
||||
|
||||
it('merge updates axis props', () => {
|
||||
const builder = new UPlotAxisBuilder(
|
||||
createAxisProps({ scaleKey: 'y', label: 'Original' }),
|
||||
);
|
||||
|
||||
builder.merge({ label: 'Merged', yAxisUnit: 'bytes' });
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.label).toBe('Merged');
|
||||
expect(config.values).toBeDefined();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,337 @@
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import type { SeriesProps } from '../types';
|
||||
import { DrawStyle, SelectionPreferencesSource } from '../types';
|
||||
import { UPlotConfigBuilder } from '../UPlotConfigBuilder';
|
||||
|
||||
// Mock only the real boundary that hits localStorage
|
||||
jest.mock(
|
||||
'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
|
||||
() => ({
|
||||
getStoredSeriesVisibility: jest.fn(),
|
||||
}),
|
||||
);
|
||||
|
||||
const getStoredSeriesVisibilityMock = jest.requireMock(
|
||||
'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
|
||||
) as {
|
||||
getStoredSeriesVisibility: jest.Mock;
|
||||
};
|
||||
|
||||
describe('UPlotConfigBuilder', () => {
|
||||
beforeEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
const createSeriesProps = (
|
||||
overrides: Partial<SeriesProps> = {},
|
||||
): SeriesProps => ({
|
||||
scaleKey: 'y',
|
||||
label: 'Requests',
|
||||
colorMapping: {},
|
||||
drawStyle: DrawStyle.Line,
|
||||
panelType: PANEL_TYPES.TIME_SERIES,
|
||||
...overrides,
|
||||
});
|
||||
|
||||
it('returns correct save selection preference flag from constructor args', () => {
|
||||
const builder = new UPlotConfigBuilder({
|
||||
shouldSaveSelectionPreference: true,
|
||||
});
|
||||
|
||||
expect(builder.getShouldSaveSelectionPreference()).toBe(true);
|
||||
});
|
||||
|
||||
it('returns widgetId from constructor args', () => {
|
||||
const builder = new UPlotConfigBuilder({ widgetId: 'widget-123' });
|
||||
|
||||
expect(builder.getWidgetId()).toBe('widget-123');
|
||||
});
|
||||
|
||||
it('sets tzDate from constructor and includes it in config', () => {
|
||||
const tzDate = (ts: number): Date => new Date(ts);
|
||||
const builder = new UPlotConfigBuilder({ tzDate });
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.tzDate).toBe(tzDate);
|
||||
});
|
||||
|
||||
it('does not call onDragSelect for click without drag (width === 0)', () => {
|
||||
const onDragSelect = jest.fn();
|
||||
const builder = new UPlotConfigBuilder({ onDragSelect });
|
||||
|
||||
const config = builder.getConfig();
|
||||
const setSelectHooks = config.hooks?.setSelect ?? [];
|
||||
expect(setSelectHooks.length).toBe(1);
|
||||
|
||||
const uplotInstance = ({
|
||||
select: { left: 10, width: 0 },
|
||||
posToVal: jest.fn(),
|
||||
} as unknown) as uPlot;
|
||||
|
||||
// Simulate uPlot calling the hook
|
||||
const setSelectHook = setSelectHooks[0];
|
||||
setSelectHook!(uplotInstance);
|
||||
|
||||
expect(onDragSelect).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('calls onDragSelect with start and end times in milliseconds for a drag selection', () => {
|
||||
const onDragSelect = jest.fn();
|
||||
const builder = new UPlotConfigBuilder({ onDragSelect });
|
||||
|
||||
const config = builder.getConfig();
|
||||
const setSelectHooks = config.hooks?.setSelect ?? [];
|
||||
expect(setSelectHooks.length).toBe(1);
|
||||
|
||||
const posToVal = jest
|
||||
.fn()
|
||||
// left position
|
||||
.mockReturnValueOnce(100)
|
||||
// left + width
|
||||
.mockReturnValueOnce(110);
|
||||
|
||||
const uplotInstance = ({
|
||||
select: { left: 50, width: 20 },
|
||||
posToVal,
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const setSelectHook = setSelectHooks[0];
|
||||
setSelectHook!(uplotInstance);
|
||||
|
||||
expect(onDragSelect).toHaveBeenCalledTimes(1);
|
||||
// 100 and 110 seconds converted to milliseconds
|
||||
expect(onDragSelect).toHaveBeenCalledWith(100_000, 110_000);
|
||||
});
|
||||
|
||||
it('adds and removes hooks via addHook, and exposes them through getConfig', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
const drawHook = jest.fn();
|
||||
|
||||
const remove = builder.addHook('draw', drawHook as uPlot.Hooks.Defs['draw']);
|
||||
|
||||
let config = builder.getConfig();
|
||||
expect(config.hooks?.draw).toContain(drawHook);
|
||||
|
||||
// Remove and ensure it no longer appears in config
|
||||
remove();
|
||||
config = builder.getConfig();
|
||||
expect(config.hooks?.draw ?? []).not.toContain(drawHook);
|
||||
});
|
||||
|
||||
it('adds axes, scales, and series and wires them into the final config', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
// Add axis and scale
|
||||
builder.addAxis({ scaleKey: 'y', label: 'Requests' });
|
||||
builder.addScale({ scaleKey: 'y' });
|
||||
|
||||
// Add two series – legend indices should start from 1 (0 is the timestamp series)
|
||||
builder.addSeries(createSeriesProps({ label: 'Requests' }));
|
||||
builder.addSeries(createSeriesProps({ label: 'Errors' }));
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
// Axes
|
||||
expect(config.axes).toHaveLength(1);
|
||||
expect(config.axes?.[0].scale).toBe('y');
|
||||
|
||||
// Scales are returned as an object keyed by scaleKey
|
||||
expect(config.scales).toBeDefined();
|
||||
expect(Object.keys(config.scales ?? {})).toContain('y');
|
||||
|
||||
// Series: base timestamp + 2 data series
|
||||
expect(config.series).toHaveLength(3);
|
||||
// Base series (index 0) has a value formatter that returns empty string
|
||||
const baseSeries = config.series?.[0] as { value?: () => string };
|
||||
expect(typeof baseSeries?.value).toBe('function');
|
||||
expect(baseSeries?.value?.()).toBe('');
|
||||
|
||||
// Legend items align with series and carry label and color from series config
|
||||
const legendItems = builder.getLegendItems();
|
||||
expect(Object.keys(legendItems)).toEqual(['1', '2']);
|
||||
expect(legendItems[1].seriesIndex).toBe(1);
|
||||
expect(legendItems[1].label).toBe('Requests');
|
||||
expect(legendItems[2].label).toBe('Errors');
|
||||
});
|
||||
|
||||
it('merges axis when addAxis is called twice with same scaleKey', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
builder.addAxis({ scaleKey: 'y', label: 'Requests' });
|
||||
builder.addAxis({ scaleKey: 'y', label: 'Updated Label', show: false });
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.axes).toHaveLength(1);
|
||||
expect(config.axes?.[0].label).toBe('Updated Label');
|
||||
expect(config.axes?.[0].show).toBe(false);
|
||||
});
|
||||
|
||||
it('merges scale when addScale is called twice with same scaleKey', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
builder.addScale({ scaleKey: 'y', min: 0 });
|
||||
builder.addScale({ scaleKey: 'y', max: 100 });
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
// Only one scale entry for 'y' (merge path used, no duplicate added)
|
||||
expect(config.scales).toBeDefined();
|
||||
const scales = config.scales ?? {};
|
||||
expect(Object.keys(scales)).toEqual(['y']);
|
||||
expect(scales.y?.range).toBeDefined();
|
||||
});
|
||||
|
||||
it('restores visibility state from localStorage when selectionPreferencesSource is LOCAL_STORAGE', () => {
|
||||
// Index 0 = x-axis/time; indices 1,2 = data series (Requests, Errors). resolveSeriesVisibility matches by seriesIndex + seriesLabel.
|
||||
getStoredSeriesVisibilityMock.getStoredSeriesVisibility.mockReturnValue({
|
||||
labels: ['x-axis', 'Requests', 'Errors'],
|
||||
visibility: [true, true, false],
|
||||
});
|
||||
|
||||
const builder = new UPlotConfigBuilder({
|
||||
widgetId: 'widget-1',
|
||||
selectionPreferencesSource: SelectionPreferencesSource.LOCAL_STORAGE,
|
||||
});
|
||||
|
||||
builder.addSeries(createSeriesProps({ label: 'Requests' }));
|
||||
builder.addSeries(createSeriesProps({ label: 'Errors' }));
|
||||
|
||||
const legendItems = builder.getLegendItems();
|
||||
|
||||
// When any series is hidden, legend visibility is driven by the stored map
|
||||
expect(legendItems[1].show).toBe(true);
|
||||
expect(legendItems[2].show).toBe(false);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const [, firstSeries, secondSeries] = config.series ?? [];
|
||||
|
||||
expect(firstSeries?.show).toBe(true);
|
||||
expect(secondSeries?.show).toBe(false);
|
||||
});
|
||||
|
||||
it('does not attempt to read stored visibility when using in-memory preferences', () => {
|
||||
const builder = new UPlotConfigBuilder({
|
||||
widgetId: 'widget-1',
|
||||
selectionPreferencesSource: SelectionPreferencesSource.IN_MEMORY,
|
||||
});
|
||||
|
||||
builder.addSeries(createSeriesProps({ label: 'Requests' }));
|
||||
|
||||
builder.getLegendItems();
|
||||
builder.getConfig();
|
||||
|
||||
expect(
|
||||
getStoredSeriesVisibilityMock.getStoredSeriesVisibility,
|
||||
).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('adds thresholds only once per scale key', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
const thresholdsOptions = {
|
||||
scaleKey: 'y',
|
||||
thresholds: [{ thresholdValue: 100 }],
|
||||
};
|
||||
|
||||
builder.addThresholds(thresholdsOptions);
|
||||
builder.addThresholds(thresholdsOptions);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const drawHooks = config.hooks?.draw ?? [];
|
||||
|
||||
// Only a single draw hook should be registered for the same scaleKey
|
||||
expect(drawHooks.length).toBe(1);
|
||||
});
|
||||
|
||||
it('adds multiple thresholds when scale key is different', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
const thresholdsOptions = {
|
||||
scaleKey: 'y',
|
||||
thresholds: [{ thresholdValue: 100 }],
|
||||
};
|
||||
builder.addThresholds(thresholdsOptions);
|
||||
const thresholdsOptions2 = {
|
||||
scaleKey: 'y2',
|
||||
thresholds: [{ thresholdValue: 200 }],
|
||||
};
|
||||
builder.addThresholds(thresholdsOptions2);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const drawHooks = config.hooks?.draw ?? [];
|
||||
|
||||
// Two draw hooks should be registered for different scaleKeys
|
||||
expect(drawHooks.length).toBe(2);
|
||||
});
|
||||
|
||||
it('merges cursor configuration with defaults instead of replacing them', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
builder.setCursor({
|
||||
drag: { setScale: false },
|
||||
});
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.cursor?.drag?.setScale).toBe(false);
|
||||
// Points configuration from DEFAULT_CURSOR_CONFIG should still be present
|
||||
expect(config.cursor?.points).toBeDefined();
|
||||
});
|
||||
|
||||
it('adds plugins and includes them in config', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
const plugin: uPlot.Plugin = {
|
||||
opts: (): void => {},
|
||||
hooks: {},
|
||||
};
|
||||
|
||||
builder.addPlugin(plugin);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.plugins).toContain(plugin);
|
||||
});
|
||||
|
||||
it('sets padding, legend, focus, select, tzDate, bands and includes them in config', () => {
|
||||
const tzDate = (ts: number): Date => new Date(ts);
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
const bands: uPlot.Band[] = [{ series: [1, 2], fill: (): string => '#000' }];
|
||||
|
||||
builder.setBands(bands);
|
||||
builder.setPadding([10, 20, 30, 40]);
|
||||
builder.setLegend({ show: true, live: true });
|
||||
builder.setFocus({ alpha: 0.5 });
|
||||
builder.setSelect({ left: 0, width: 0, top: 0, height: 0 });
|
||||
builder.setTzDate(tzDate);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.bands).toEqual(bands);
|
||||
expect(config.padding).toEqual([10, 20, 30, 40]);
|
||||
expect(config.legend).toEqual({ show: true, live: true });
|
||||
expect(config.focus).toEqual({ alpha: 0.5 });
|
||||
expect(config.select).toEqual({ left: 0, width: 0, top: 0, height: 0 });
|
||||
expect(config.tzDate).toBe(tzDate);
|
||||
});
|
||||
|
||||
it('does not include plugins when none added', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.plugins).toBeUndefined();
|
||||
});
|
||||
|
||||
it('does not include bands when empty', () => {
|
||||
const builder = new UPlotConfigBuilder();
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.bands).toBeUndefined();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,236 @@
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
import * as scaleUtils from '../../utils/scale';
|
||||
import type { ScaleProps } from '../types';
|
||||
import { DistributionType } from '../types';
|
||||
import { UPlotScaleBuilder } from '../UPlotScaleBuilder';
|
||||
|
||||
const createScaleProps = (overrides: Partial<ScaleProps> = {}): ScaleProps => ({
|
||||
scaleKey: 'y',
|
||||
time: false,
|
||||
auto: undefined,
|
||||
min: undefined,
|
||||
max: undefined,
|
||||
softMin: undefined,
|
||||
softMax: undefined,
|
||||
distribution: DistributionType.Linear,
|
||||
...overrides,
|
||||
});
|
||||
|
||||
describe('UPlotScaleBuilder', () => {
|
||||
const getFallbackMinMaxSpy = jest.spyOn(
|
||||
scaleUtils,
|
||||
'getFallbackMinMaxTimeStamp',
|
||||
);
|
||||
|
||||
beforeEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
it('initializes softMin/softMax correctly when both are 0 (treated as unset)', () => {
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
softMin: 0,
|
||||
softMax: 0,
|
||||
}),
|
||||
);
|
||||
|
||||
// Non-time scale so config path uses thresholds pipeline; we just care that
|
||||
// adjustSoftLimitsWithThresholds receives null soft limits instead of 0/0.
|
||||
const adjustSpy = jest.spyOn(scaleUtils, 'adjustSoftLimitsWithThresholds');
|
||||
|
||||
builder.getConfig();
|
||||
|
||||
expect(adjustSpy).toHaveBeenCalledWith(null, null, undefined, undefined);
|
||||
});
|
||||
|
||||
it('handles time scales using explicit min/max and rounds max down to the previous minute', () => {
|
||||
const min = 1_700_000_000; // seconds
|
||||
const max = 1_700_000_600; // seconds
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
scaleKey: 'x',
|
||||
time: true,
|
||||
min,
|
||||
max,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const xScale = config.x;
|
||||
|
||||
expect(xScale.time).toBe(true);
|
||||
expect(xScale.auto).toBe(false);
|
||||
expect(Array.isArray(xScale.range)).toBe(true);
|
||||
|
||||
const [resolvedMin, resolvedMax] = xScale.range as [number, number];
|
||||
|
||||
// min is passed through
|
||||
expect(resolvedMin).toBe(min);
|
||||
|
||||
// max is coerced to "endTime - 1 minute" and rounded down to minute precision
|
||||
const oneMinuteAgoTimestamp = (max - 60) * 1000;
|
||||
const currentDate = new Date(oneMinuteAgoTimestamp);
|
||||
currentDate.setSeconds(0);
|
||||
currentDate.setMilliseconds(0);
|
||||
const expectedMax = Math.floor(currentDate.getTime() / 1000);
|
||||
|
||||
expect(resolvedMax).toBe(expectedMax);
|
||||
});
|
||||
|
||||
it('falls back to getFallbackMinMaxTimeStamp when time scale has no min/max', () => {
|
||||
getFallbackMinMaxSpy.mockReturnValue({
|
||||
fallbackMin: 100,
|
||||
fallbackMax: 200,
|
||||
});
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
scaleKey: 'x',
|
||||
time: true,
|
||||
min: undefined,
|
||||
max: undefined,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const [resolvedMin, resolvedMax] = config.x.range as [number, number];
|
||||
|
||||
expect(getFallbackMinMaxSpy).toHaveBeenCalled();
|
||||
expect(resolvedMin).toBe(100);
|
||||
// max is aligned to "fallbackMax - 60 seconds" minute boundary
|
||||
expect(resolvedMax).toBeLessThanOrEqual(200);
|
||||
expect(resolvedMax).toBeGreaterThan(100);
|
||||
});
|
||||
|
||||
it('pipes limits through soft-limit adjustment and log-scale normalization before range config', () => {
|
||||
const adjustSpy = jest.spyOn(scaleUtils, 'adjustSoftLimitsWithThresholds');
|
||||
const normalizeSpy = jest.spyOn(scaleUtils, 'normalizeLogScaleLimits');
|
||||
const getRangeConfigSpy = jest.spyOn(scaleUtils, 'getRangeConfig');
|
||||
|
||||
const thresholds = {
|
||||
scaleKey: 'y',
|
||||
thresholds: [{ thresholdValue: 10 }],
|
||||
yAxisUnit: 'ms',
|
||||
};
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
softMin: 1,
|
||||
softMax: 5,
|
||||
min: 0,
|
||||
max: 100,
|
||||
distribution: DistributionType.Logarithmic,
|
||||
thresholds,
|
||||
logBase: 2,
|
||||
padMinBy: 0.1,
|
||||
padMaxBy: 0.2,
|
||||
}),
|
||||
);
|
||||
|
||||
builder.getConfig();
|
||||
|
||||
expect(adjustSpy).toHaveBeenCalledWith(1, 5, thresholds.thresholds, 'ms');
|
||||
expect(normalizeSpy).toHaveBeenCalledWith({
|
||||
distr: DistributionType.Logarithmic,
|
||||
logBase: 2,
|
||||
limits: {
|
||||
min: 0,
|
||||
max: 100,
|
||||
softMin: expect.anything(),
|
||||
softMax: expect.anything(),
|
||||
},
|
||||
});
|
||||
expect(getRangeConfigSpy).toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('computes distribution config for non-time scales and wires range function when range is not provided', () => {
|
||||
const createRangeFnSpy = jest.spyOn(scaleUtils, 'createRangeFunction');
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
scaleKey: 'y',
|
||||
time: false,
|
||||
distribution: DistributionType.Linear,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const yScale = config.y;
|
||||
|
||||
expect(createRangeFnSpy).toHaveBeenCalled();
|
||||
|
||||
// range should be a function when not provided explicitly
|
||||
expect(typeof yScale.range).toBe('function');
|
||||
|
||||
// distribution config should be applied
|
||||
expect(yScale.distr).toBeDefined();
|
||||
expect(yScale.log).toBeDefined();
|
||||
});
|
||||
|
||||
it('respects explicit range function when provided on props', () => {
|
||||
const explicitRange: uPlot.Scale.Range = jest.fn(() => [
|
||||
0,
|
||||
10,
|
||||
]) as uPlot.Scale.Range;
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
scaleKey: 'y',
|
||||
range: explicitRange,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const yScale = config.y;
|
||||
|
||||
expect(yScale.range).toBe(explicitRange);
|
||||
});
|
||||
|
||||
it('derives auto flag when not explicitly provided, based on hasFixedRange and time', () => {
|
||||
const getRangeConfigSpy = jest.spyOn(scaleUtils, 'getRangeConfig');
|
||||
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
min: 0,
|
||||
max: 100,
|
||||
time: false,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
const yScale = config.y;
|
||||
|
||||
expect(getRangeConfigSpy).toHaveBeenCalled();
|
||||
// For non-time scale with fixed min/max, hasFixedRange is true → auto should remain false
|
||||
expect(yScale.auto).toBe(false);
|
||||
});
|
||||
|
||||
it('merge updates internal min/max/soft limits while preserving other props', () => {
|
||||
const builder = new UPlotScaleBuilder(
|
||||
createScaleProps({
|
||||
scaleKey: 'y',
|
||||
min: 0,
|
||||
max: 10,
|
||||
softMin: 1,
|
||||
softMax: 9,
|
||||
time: false,
|
||||
}),
|
||||
);
|
||||
|
||||
builder.merge({
|
||||
min: 2,
|
||||
softMax: undefined,
|
||||
});
|
||||
|
||||
expect(builder.props.min).toBe(2);
|
||||
expect(builder.props.softMax).toBe(undefined);
|
||||
expect(builder.props.max).toBe(10);
|
||||
expect(builder.props.softMin).toBe(1);
|
||||
expect(builder.props.time).toBe(false);
|
||||
expect(builder.props.scaleKey).toBe('y');
|
||||
expect(builder.props.distribution).toBe(DistributionType.Linear);
|
||||
expect(builder.props.thresholds).toBe(undefined);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,295 @@
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { themeColors } from 'constants/theme';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import type { SeriesProps } from '../types';
|
||||
import {
|
||||
DrawStyle,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
VisibilityMode,
|
||||
} from '../types';
|
||||
import { UPlotSeriesBuilder } from '../UPlotSeriesBuilder';
|
||||
|
||||
const createBaseProps = (
|
||||
overrides: Partial<SeriesProps> = {},
|
||||
): SeriesProps => ({
|
||||
scaleKey: 'y',
|
||||
label: 'Requests',
|
||||
colorMapping: {},
|
||||
drawStyle: DrawStyle.Line,
|
||||
isDarkMode: false,
|
||||
panelType: PANEL_TYPES.TIME_SERIES,
|
||||
...overrides,
|
||||
});
|
||||
|
||||
interface MockPath extends uPlot.Series.Paths {
|
||||
name?: string;
|
||||
}
|
||||
|
||||
describe('UPlotSeriesBuilder', () => {
|
||||
it('maps basic props into uPlot series config', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
label: 'Latency',
|
||||
spanGaps: true,
|
||||
show: false,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.scale).toBe('y');
|
||||
expect(config.label).toBe('Latency');
|
||||
expect(config.spanGaps).toBe(true);
|
||||
expect(config.show).toBe(false);
|
||||
expect(config.pxAlign).toBe(true);
|
||||
expect(typeof config.value).toBe('function');
|
||||
});
|
||||
|
||||
it('uses explicit lineColor when provided, regardless of mapping', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
lineColor: '#ff00ff',
|
||||
colorMapping: { Requests: '#00ff00' },
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.stroke).toBe('#ff00ff');
|
||||
});
|
||||
|
||||
it('falls back to theme colors when no label is provided', () => {
|
||||
const darkBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
label: undefined,
|
||||
isDarkMode: true,
|
||||
lineColor: undefined,
|
||||
}),
|
||||
);
|
||||
const lightBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
label: undefined,
|
||||
isDarkMode: false,
|
||||
lineColor: undefined,
|
||||
}),
|
||||
);
|
||||
|
||||
const darkConfig = darkBuilder.getConfig();
|
||||
const lightConfig = lightBuilder.getConfig();
|
||||
|
||||
expect(darkConfig.stroke).toBe(themeColors.white);
|
||||
expect(lightConfig.stroke).toBe(themeColors.black);
|
||||
});
|
||||
|
||||
it('uses colorMapping when available and no explicit lineColor is provided', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
label: 'Requests',
|
||||
colorMapping: { Requests: '#123456' },
|
||||
lineColor: undefined,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.stroke).toBe('#123456');
|
||||
});
|
||||
|
||||
it('passes through a custom pathBuilder when provided', () => {
|
||||
const customPaths = (jest.fn() as unknown) as uPlot.Series.PathBuilder;
|
||||
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
pathBuilder: customPaths,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.paths).toBe(customPaths);
|
||||
});
|
||||
|
||||
it('does not build line paths when drawStyle is Points, but still renders points', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Points,
|
||||
pointSize: 4,
|
||||
lineWidth: 2,
|
||||
lineColor: '#aa00aa',
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(typeof config.paths).toBe('function');
|
||||
expect(config.paths && config.paths({} as uPlot, 1, 0, 10)).toBeNull();
|
||||
|
||||
expect(config.points).toBeDefined();
|
||||
expect(config.points?.stroke).toBe('#aa00aa');
|
||||
expect(config.points?.fill).toBe('#aa00aa');
|
||||
expect(config.points?.show).toBe(true);
|
||||
expect(config.points?.size).toBe(4);
|
||||
});
|
||||
|
||||
it('derives point size based on lineWidth and pointSize', () => {
|
||||
const smallPointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
lineWidth: 4,
|
||||
pointSize: 2,
|
||||
}),
|
||||
);
|
||||
const largePointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
lineWidth: 2,
|
||||
pointSize: 4,
|
||||
}),
|
||||
);
|
||||
|
||||
const smallConfig = smallPointsBuilder.getConfig();
|
||||
const largeConfig = largePointsBuilder.getConfig();
|
||||
|
||||
expect(smallConfig.points?.size).toBeUndefined();
|
||||
expect(largeConfig.points?.size).toBe(4);
|
||||
});
|
||||
|
||||
it('uses pointsBuilder when provided instead of default visibility logic', () => {
|
||||
const pointsBuilder: uPlot.Series.Points.Show = jest.fn(
|
||||
() => true,
|
||||
) as uPlot.Series.Points.Show;
|
||||
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
pointsBuilder,
|
||||
drawStyle: DrawStyle.Line,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.points?.show).toBe(pointsBuilder);
|
||||
});
|
||||
|
||||
it('respects VisibilityMode for point visibility when no custom pointsBuilder is given', () => {
|
||||
const neverPointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
showPoints: VisibilityMode.Never,
|
||||
}),
|
||||
);
|
||||
const alwaysPointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
showPoints: VisibilityMode.Always,
|
||||
}),
|
||||
);
|
||||
|
||||
const neverConfig = neverPointsBuilder.getConfig();
|
||||
const alwaysConfig = alwaysPointsBuilder.getConfig();
|
||||
|
||||
expect(neverConfig.points?.show).toBe(false);
|
||||
expect(alwaysConfig.points?.show).toBe(true);
|
||||
});
|
||||
|
||||
it('applies LineStyle.Dashed and lineCap to line config', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
lineStyle: LineStyle.Dashed,
|
||||
lineCap: 'round' as CanvasLineCap,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.dash).toEqual([10, 10]);
|
||||
expect(config.cap).toBe('round');
|
||||
});
|
||||
|
||||
it('builds default paths for Line drawStyle and invokes the path builder', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
lineInterpolation: LineInterpolation.Linear,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
const result = config.paths?.({} as uPlot, 1, 0, 10);
|
||||
expect((result as MockPath).name).toBe('linear');
|
||||
});
|
||||
|
||||
it('uses StepBefore and StepAfter interpolation for line paths', () => {
|
||||
const stepBeforeBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
lineInterpolation: LineInterpolation.StepBefore,
|
||||
}),
|
||||
);
|
||||
const stepAfterBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
lineInterpolation: LineInterpolation.StepAfter,
|
||||
}),
|
||||
);
|
||||
|
||||
const stepBeforeConfig = stepBeforeBuilder.getConfig();
|
||||
const stepAfterConfig = stepAfterBuilder.getConfig();
|
||||
const stepBeforePath = stepBeforeConfig.paths?.({} as uPlot, 1, 0, 5);
|
||||
const stepAfterPath = stepAfterConfig.paths?.({} as uPlot, 1, 0, 5);
|
||||
expect((stepBeforePath as MockPath).name).toBe('stepped-(-1)');
|
||||
expect((stepAfterPath as MockPath).name).toBe('stepped-(1)');
|
||||
});
|
||||
|
||||
it('defaults to spline interpolation when lineInterpolation is Spline or undefined', () => {
|
||||
const splineBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
}),
|
||||
);
|
||||
const defaultBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({ drawStyle: DrawStyle.Line }),
|
||||
);
|
||||
|
||||
const splineConfig = splineBuilder.getConfig();
|
||||
const defaultConfig = defaultBuilder.getConfig();
|
||||
|
||||
const splinePath = splineConfig.paths?.({} as uPlot, 1, 0, 10);
|
||||
const defaultPath = defaultConfig.paths?.({} as uPlot, 1, 0, 10);
|
||||
|
||||
expect((splinePath as MockPath).name).toBe('spline');
|
||||
expect((defaultPath as MockPath).name).toBe('spline');
|
||||
});
|
||||
|
||||
it('uses generateColor when label has no colorMapping and no lineColor', () => {
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
label: 'CustomSeries',
|
||||
colorMapping: {},
|
||||
lineColor: undefined,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
expect(config.stroke).toBe('#E64A3C');
|
||||
});
|
||||
|
||||
it('passes through pointsFilter when provided', () => {
|
||||
const pointsFilter: uPlot.Series.Points.Filter = jest.fn(
|
||||
(_self, _seriesIdx, _show) => null,
|
||||
);
|
||||
|
||||
const builder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
pointsFilter,
|
||||
drawStyle: DrawStyle.Line,
|
||||
}),
|
||||
);
|
||||
|
||||
const config = builder.getConfig();
|
||||
|
||||
expect(config.points?.filter).toBe(pointsFilter);
|
||||
});
|
||||
});
|
||||
395
frontend/src/lib/uPlotV2/context/__tests__/PlotContext.test.tsx
Normal file
395
frontend/src/lib/uPlotV2/context/__tests__/PlotContext.test.tsx
Normal file
@@ -0,0 +1,395 @@
|
||||
import { render, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { updateSeriesVisibilityToLocalStorage } from 'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils';
|
||||
import {
|
||||
PlotContextProvider,
|
||||
usePlotContext,
|
||||
} from 'lib/uPlotV2/context/PlotContext';
|
||||
import type uPlot from 'uplot';
|
||||
|
||||
jest.mock(
|
||||
'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
|
||||
() => ({
|
||||
updateSeriesVisibilityToLocalStorage: jest.fn(),
|
||||
}),
|
||||
);
|
||||
|
||||
const mockUpdateSeriesVisibilityToLocalStorage = updateSeriesVisibilityToLocalStorage as jest.MockedFunction<
|
||||
typeof updateSeriesVisibilityToLocalStorage
|
||||
>;
|
||||
|
||||
interface MockSeries extends Partial<uPlot.Series> {
|
||||
label?: string;
|
||||
show?: boolean;
|
||||
}
|
||||
|
||||
const createMockPlot = (series: MockSeries[] = []): uPlot =>
|
||||
(({
|
||||
series,
|
||||
batch: jest.fn((fn: () => void) => fn()),
|
||||
setSeries: jest.fn(),
|
||||
} as unknown) as uPlot);
|
||||
|
||||
interface TestComponentProps {
|
||||
plot?: uPlot;
|
||||
widgetId?: string;
|
||||
shouldSaveSelectionPreference?: boolean;
|
||||
}
|
||||
|
||||
const TestComponent = ({
|
||||
plot,
|
||||
widgetId,
|
||||
shouldSaveSelectionPreference,
|
||||
}: TestComponentProps): JSX.Element => {
|
||||
const {
|
||||
setPlotContextInitialState,
|
||||
syncSeriesVisibilityToLocalStorage,
|
||||
onToggleSeriesVisibility,
|
||||
onToggleSeriesOnOff,
|
||||
onFocusSeries,
|
||||
} = usePlotContext();
|
||||
const handleInit = (): void => {
|
||||
if (
|
||||
!plot ||
|
||||
!widgetId ||
|
||||
typeof shouldSaveSelectionPreference !== 'boolean'
|
||||
) {
|
||||
return;
|
||||
}
|
||||
|
||||
setPlotContextInitialState({
|
||||
uPlotInstance: plot,
|
||||
widgetId,
|
||||
shouldSaveSelectionPreference,
|
||||
});
|
||||
};
|
||||
|
||||
return (
|
||||
<div>
|
||||
<button type="button" data-testid="init" onClick={handleInit}>
|
||||
Init
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
data-testid="sync-visibility"
|
||||
onClick={(): void => syncSeriesVisibilityToLocalStorage()}
|
||||
>
|
||||
Sync visibility
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
data-testid="toggle-visibility"
|
||||
onClick={(): void => onToggleSeriesVisibility(1)}
|
||||
>
|
||||
Toggle visibility
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
data-testid="toggle-on-off-1"
|
||||
onClick={(): void => onToggleSeriesOnOff(1)}
|
||||
>
|
||||
Toggle on/off 1
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
data-testid="toggle-on-off-5"
|
||||
onClick={(): void => onToggleSeriesOnOff(5)}
|
||||
>
|
||||
Toggle on/off 5
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
data-testid="focus-series"
|
||||
onClick={(): void => onFocusSeries(1)}
|
||||
>
|
||||
Focus series
|
||||
</button>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
describe('PlotContext', () => {
|
||||
afterEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
it('throws when usePlotContext is used outside provider', () => {
|
||||
const Consumer = (): JSX.Element => {
|
||||
// eslint-disable-next-line react-hooks/rules-of-hooks
|
||||
usePlotContext();
|
||||
return <div />;
|
||||
};
|
||||
|
||||
expect(() => render(<Consumer />)).toThrow(
|
||||
'Should be used inside the context',
|
||||
);
|
||||
});
|
||||
|
||||
it('syncSeriesVisibilityToLocalStorage does nothing without plot or widgetId', async () => {
|
||||
const user = userEvent.setup();
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent />
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('sync-visibility'));
|
||||
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('syncSeriesVisibilityToLocalStorage serializes series visibility to localStorage helper', async () => {
|
||||
const user = userEvent.setup();
|
||||
const plot = createMockPlot([
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: false },
|
||||
]);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-123"
|
||||
shouldSaveSelectionPreference
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('sync-visibility'));
|
||||
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledTimes(1);
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledWith(
|
||||
'widget-123',
|
||||
[
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: false },
|
||||
],
|
||||
);
|
||||
});
|
||||
|
||||
describe('onToggleSeriesVisibility', () => {
|
||||
it('does nothing when plot instance is not set', async () => {
|
||||
const user = userEvent.setup();
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent />
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('toggle-visibility'));
|
||||
|
||||
// No errors and no calls to localStorage helper
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('highlights a single series and saves visibility when preferences are enabled', async () => {
|
||||
const user = userEvent.setup();
|
||||
const series: MockSeries[] = [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: true },
|
||||
];
|
||||
const plot = createMockPlot(series);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-visibility"
|
||||
shouldSaveSelectionPreference
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('toggle-visibility'));
|
||||
|
||||
const setSeries = (plot.setSeries as jest.Mock).mock.calls;
|
||||
|
||||
// index 0 is skipped, so we expect calls for 1 and 2
|
||||
expect(setSeries).toEqual([
|
||||
[1, { show: true }],
|
||||
[2, { show: false }],
|
||||
]);
|
||||
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledTimes(1);
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledWith(
|
||||
'widget-visibility',
|
||||
[
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: true },
|
||||
],
|
||||
);
|
||||
});
|
||||
|
||||
it('resets visibility for all series when toggling the same index again', async () => {
|
||||
const user = userEvent.setup();
|
||||
const series: MockSeries[] = [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
{ label: 'Memory', show: true },
|
||||
];
|
||||
const plot = createMockPlot(series);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-reset"
|
||||
shouldSaveSelectionPreference
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('toggle-visibility'));
|
||||
|
||||
(plot.setSeries as jest.Mock).mockClear();
|
||||
|
||||
await user.click(screen.getByTestId('toggle-visibility'));
|
||||
|
||||
const setSeries = (plot.setSeries as jest.Mock).mock.calls;
|
||||
|
||||
// After reset, all non-zero series should be shown
|
||||
expect(setSeries).toEqual([
|
||||
[1, { show: true }],
|
||||
[2, { show: true }],
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('onToggleSeriesOnOff', () => {
|
||||
it('does nothing when plot instance is not set', async () => {
|
||||
const user = userEvent.setup();
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent />
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('toggle-on-off-1'));
|
||||
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('toggles series show flag and saves visibility when preferences are enabled', async () => {
|
||||
const user = userEvent.setup();
|
||||
const series: MockSeries[] = [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
];
|
||||
const plot = createMockPlot(series);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-toggle"
|
||||
shouldSaveSelectionPreference
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('toggle-on-off-1'));
|
||||
|
||||
expect(plot.setSeries).toHaveBeenCalledWith(1, { show: false });
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledTimes(1);
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).toHaveBeenCalledWith(
|
||||
'widget-toggle',
|
||||
expect.any(Array),
|
||||
);
|
||||
});
|
||||
|
||||
it('does not toggle when target series does not exist', async () => {
|
||||
const user = userEvent.setup();
|
||||
const series: MockSeries[] = [{ label: 'x-axis', show: true }];
|
||||
const plot = createMockPlot(series);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-missing-series"
|
||||
shouldSaveSelectionPreference
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('toggle-on-off-5'));
|
||||
|
||||
expect(plot.setSeries).not.toHaveBeenCalled();
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('does not persist visibility when preferences flag is disabled', async () => {
|
||||
const user = userEvent.setup();
|
||||
const series: MockSeries[] = [
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
];
|
||||
const plot = createMockPlot(series);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-no-persist"
|
||||
shouldSaveSelectionPreference={false}
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('toggle-on-off-1'));
|
||||
|
||||
expect(plot.setSeries).toHaveBeenCalledWith(1, { show: false });
|
||||
expect(mockUpdateSeriesVisibilityToLocalStorage).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
describe('onFocusSeries', () => {
|
||||
it('does nothing when plot instance is not set', async () => {
|
||||
const user = userEvent.setup();
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent />
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('focus-series'));
|
||||
});
|
||||
|
||||
it('sets focus on the given series index', async () => {
|
||||
const user = userEvent.setup();
|
||||
const plot = createMockPlot([
|
||||
{ label: 'x-axis', show: true },
|
||||
{ label: 'CPU', show: true },
|
||||
]);
|
||||
|
||||
render(
|
||||
<PlotContextProvider>
|
||||
<TestComponent
|
||||
plot={plot}
|
||||
widgetId="widget-focus"
|
||||
shouldSaveSelectionPreference={false}
|
||||
/>
|
||||
</PlotContextProvider>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('init'));
|
||||
await user.click(screen.getByTestId('focus-series'));
|
||||
|
||||
expect(plot.setSeries).toHaveBeenCalledWith(1, { focus: true }, false);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,201 @@
|
||||
import { renderHook } from '@testing-library/react';
|
||||
import { usePlotContext } from 'lib/uPlotV2/context/PlotContext';
|
||||
import { useLegendActions } from 'lib/uPlotV2/hooks/useLegendActions';
|
||||
|
||||
jest.mock('lib/uPlotV2/context/PlotContext');
|
||||
|
||||
const mockUsePlotContext = usePlotContext as jest.MockedFunction<
|
||||
typeof usePlotContext
|
||||
>;
|
||||
|
||||
describe('useLegendActions', () => {
|
||||
let onToggleSeriesVisibility: jest.Mock;
|
||||
let onToggleSeriesOnOff: jest.Mock;
|
||||
let onFocusSeriesPlot: jest.Mock;
|
||||
let setPlotContextInitialState: jest.Mock;
|
||||
let syncSeriesVisibilityToLocalStorage: jest.Mock;
|
||||
let setFocusedSeriesIndexMock: jest.Mock;
|
||||
let cancelAnimationFrameSpy: jest.SpyInstance<void, [handle: number]>;
|
||||
|
||||
beforeAll(() => {
|
||||
jest
|
||||
.spyOn(global, 'requestAnimationFrame')
|
||||
.mockImplementation((cb: FrameRequestCallback): number => {
|
||||
cb(0);
|
||||
return 1;
|
||||
});
|
||||
|
||||
cancelAnimationFrameSpy = jest
|
||||
.spyOn(global, 'cancelAnimationFrame')
|
||||
.mockImplementation(() => {});
|
||||
});
|
||||
|
||||
afterAll(() => {
|
||||
jest.restoreAllMocks();
|
||||
});
|
||||
|
||||
beforeEach(() => {
|
||||
onToggleSeriesVisibility = jest.fn();
|
||||
onToggleSeriesOnOff = jest.fn();
|
||||
onFocusSeriesPlot = jest.fn();
|
||||
setPlotContextInitialState = jest.fn();
|
||||
syncSeriesVisibilityToLocalStorage = jest.fn();
|
||||
setFocusedSeriesIndexMock = jest.fn();
|
||||
|
||||
mockUsePlotContext.mockReturnValue({
|
||||
onToggleSeriesVisibility,
|
||||
onToggleSeriesOnOff,
|
||||
onFocusSeries: onFocusSeriesPlot,
|
||||
setPlotContextInitialState,
|
||||
syncSeriesVisibilityToLocalStorage,
|
||||
});
|
||||
|
||||
cancelAnimationFrameSpy.mockClear();
|
||||
});
|
||||
|
||||
const createMouseEvent = (options: {
|
||||
legendItemId?: number;
|
||||
isMarker?: boolean;
|
||||
}): any => {
|
||||
const { legendItemId, isMarker = false } = options;
|
||||
|
||||
return {
|
||||
target: {
|
||||
dataset: {
|
||||
...(isMarker ? { isLegendMarker: 'true' } : {}),
|
||||
},
|
||||
closest: jest.fn(() =>
|
||||
legendItemId !== undefined
|
||||
? { dataset: { legendItemId: String(legendItemId) } }
|
||||
: null,
|
||||
),
|
||||
},
|
||||
};
|
||||
};
|
||||
|
||||
describe('onLegendClick', () => {
|
||||
it('toggles series visibility when clicking on legend label', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendClick(createMouseEvent({ legendItemId: 0 }));
|
||||
|
||||
expect(onToggleSeriesVisibility).toHaveBeenCalledTimes(1);
|
||||
expect(onToggleSeriesVisibility).toHaveBeenCalledWith(0);
|
||||
expect(onToggleSeriesOnOff).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('toggles series on/off when clicking on marker', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendClick(
|
||||
createMouseEvent({ legendItemId: 0, isMarker: true }),
|
||||
);
|
||||
|
||||
expect(onToggleSeriesOnOff).toHaveBeenCalledTimes(1);
|
||||
expect(onToggleSeriesOnOff).toHaveBeenCalledWith(0);
|
||||
expect(onToggleSeriesVisibility).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('does nothing when click target is not inside a legend item', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendClick(createMouseEvent({}));
|
||||
|
||||
expect(onToggleSeriesOnOff).not.toHaveBeenCalled();
|
||||
expect(onToggleSeriesVisibility).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
describe('onFocusSeries', () => {
|
||||
it('schedules focus update and calls plot focus handler via mouse move', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 0 }));
|
||||
|
||||
expect(setFocusedSeriesIndexMock).toHaveBeenCalledWith(0);
|
||||
expect(onFocusSeriesPlot).toHaveBeenCalledWith(0);
|
||||
});
|
||||
|
||||
it('cancels previous animation frame before scheduling new one on subsequent mouse moves', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 0 }));
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 1 }));
|
||||
|
||||
expect(cancelAnimationFrameSpy).toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
describe('onLegendMouseMove', () => {
|
||||
it('focuses new series when hovering over different legend item', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: 0,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 1 }));
|
||||
|
||||
expect(setFocusedSeriesIndexMock).toHaveBeenCalledWith(1);
|
||||
expect(onFocusSeriesPlot).toHaveBeenCalledWith(1);
|
||||
});
|
||||
|
||||
it('does nothing when hovering over already focused series', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: 1,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 1 }));
|
||||
|
||||
expect(setFocusedSeriesIndexMock).not.toHaveBeenCalled();
|
||||
expect(onFocusSeriesPlot).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
describe('onLegendMouseLeave', () => {
|
||||
it('cancels pending animation frame and clears focus state', async () => {
|
||||
const { result } = renderHook(() =>
|
||||
useLegendActions({
|
||||
setFocusedSeriesIndex: setFocusedSeriesIndexMock,
|
||||
focusedSeriesIndex: null,
|
||||
}),
|
||||
);
|
||||
|
||||
result.current.onLegendMouseMove(createMouseEvent({ legendItemId: 0 }));
|
||||
result.current.onLegendMouseLeave();
|
||||
|
||||
expect(cancelAnimationFrameSpy).toHaveBeenCalled();
|
||||
expect(setFocusedSeriesIndexMock).toHaveBeenCalledWith(null);
|
||||
expect(onFocusSeriesPlot).toHaveBeenCalledWith(null);
|
||||
});
|
||||
});
|
||||
});
|
||||
192
frontend/src/lib/uPlotV2/hooks/__tests__/useLegendsSync.test.ts
Normal file
192
frontend/src/lib/uPlotV2/hooks/__tests__/useLegendsSync.test.ts
Normal file
@@ -0,0 +1,192 @@
|
||||
import { act, cleanup, renderHook } from '@testing-library/react';
|
||||
import type { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import type { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
|
||||
describe('useLegendsSync', () => {
|
||||
let requestAnimationFrameSpy: jest.SpyInstance<
|
||||
number,
|
||||
[callback: FrameRequestCallback]
|
||||
>;
|
||||
let cancelAnimationFrameSpy: jest.SpyInstance<void, [handle: number]>;
|
||||
|
||||
beforeAll(() => {
|
||||
requestAnimationFrameSpy = jest
|
||||
.spyOn(global, 'requestAnimationFrame')
|
||||
.mockImplementation((cb: FrameRequestCallback): number => {
|
||||
cb(0);
|
||||
return 1;
|
||||
});
|
||||
|
||||
cancelAnimationFrameSpy = jest
|
||||
.spyOn(global, 'cancelAnimationFrame')
|
||||
.mockImplementation(() => {});
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
jest.clearAllMocks();
|
||||
cleanup();
|
||||
});
|
||||
|
||||
afterAll(() => {
|
||||
jest.restoreAllMocks();
|
||||
});
|
||||
|
||||
const createMockConfig = (
|
||||
legendItems: Record<number, LegendItem>,
|
||||
): {
|
||||
config: UPlotConfigBuilder;
|
||||
invokeSetSeries: (
|
||||
seriesIndex: number | null,
|
||||
opts: { show?: boolean; focus?: boolean },
|
||||
fireHook?: boolean,
|
||||
) => void;
|
||||
} => {
|
||||
let setSeriesHandler:
|
||||
| ((u: uPlot, seriesIndex: number | null, opts: uPlot.Series) => void)
|
||||
| null = null;
|
||||
|
||||
const config = ({
|
||||
getLegendItems: jest.fn(() => legendItems),
|
||||
addHook: jest.fn(
|
||||
(
|
||||
hookName: string,
|
||||
handler: (
|
||||
u: uPlot,
|
||||
seriesIndex: number | null,
|
||||
opts: uPlot.Series,
|
||||
) => void,
|
||||
) => {
|
||||
if (hookName === 'setSeries') {
|
||||
setSeriesHandler = handler;
|
||||
}
|
||||
|
||||
return (): void => {
|
||||
setSeriesHandler = null;
|
||||
};
|
||||
},
|
||||
),
|
||||
} as unknown) as UPlotConfigBuilder;
|
||||
|
||||
const invokeSetSeries = (
|
||||
seriesIndex: number | null,
|
||||
opts: { show?: boolean; focus?: boolean },
|
||||
): void => {
|
||||
if (setSeriesHandler) {
|
||||
setSeriesHandler({} as uPlot, seriesIndex, { ...opts });
|
||||
}
|
||||
};
|
||||
|
||||
return { config, invokeSetSeries };
|
||||
};
|
||||
|
||||
it('initializes legend items from config', () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
2: { seriesIndex: 2, label: 'Memory', show: false, color: '#0f0' },
|
||||
};
|
||||
|
||||
const { config } = createMockConfig(initialItems);
|
||||
|
||||
const { result } = renderHook(() => useLegendsSync({ config }));
|
||||
|
||||
expect(config.getLegendItems).toHaveBeenCalledTimes(1);
|
||||
expect(config.addHook).toHaveBeenCalledWith(
|
||||
'setSeries',
|
||||
expect.any(Function),
|
||||
);
|
||||
|
||||
expect(result.current.legendItemsMap).toEqual(initialItems);
|
||||
});
|
||||
|
||||
it('updates focusedSeriesIndex when a series gains focus via setSeries by default', async () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
};
|
||||
|
||||
const { config, invokeSetSeries } = createMockConfig(initialItems);
|
||||
|
||||
const { result } = renderHook(() => useLegendsSync({ config }));
|
||||
|
||||
expect(result.current.focusedSeriesIndex).toBeNull();
|
||||
|
||||
await act(async () => {
|
||||
invokeSetSeries(1, { focus: true });
|
||||
});
|
||||
|
||||
expect(result.current.focusedSeriesIndex).toBe(1);
|
||||
});
|
||||
|
||||
it('does not update focusedSeriesIndex when subscribeToFocusChange is false', () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
};
|
||||
|
||||
const { config, invokeSetSeries } = createMockConfig(initialItems);
|
||||
|
||||
const { result } = renderHook(() =>
|
||||
useLegendsSync({ config, subscribeToFocusChange: false }),
|
||||
);
|
||||
|
||||
invokeSetSeries(1, { focus: true });
|
||||
|
||||
expect(result.current.focusedSeriesIndex).toBeNull();
|
||||
});
|
||||
|
||||
it('updates legendItemsMap visibility when show changes for a series', async () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
0: { seriesIndex: 0, label: 'x-axis', show: true, color: '#000' },
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
};
|
||||
|
||||
const { config, invokeSetSeries } = createMockConfig(initialItems);
|
||||
|
||||
const { result } = renderHook(() => useLegendsSync({ config }));
|
||||
|
||||
// Toggle visibility of series 1
|
||||
await act(async () => {
|
||||
invokeSetSeries(1, { show: false });
|
||||
});
|
||||
|
||||
expect(result.current.legendItemsMap[1].show).toBe(false);
|
||||
});
|
||||
|
||||
it('ignores visibility updates for unknown legend items or unchanged show values', () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
};
|
||||
|
||||
const { config, invokeSetSeries } = createMockConfig(initialItems);
|
||||
|
||||
const { result } = renderHook(() => useLegendsSync({ config }));
|
||||
|
||||
const before = result.current.legendItemsMap;
|
||||
|
||||
// Unknown series index
|
||||
invokeSetSeries(5, { show: false });
|
||||
// Unchanged visibility for existing item
|
||||
invokeSetSeries(1, { show: true });
|
||||
|
||||
const after = result.current.legendItemsMap;
|
||||
expect(after).toEqual(before);
|
||||
});
|
||||
|
||||
it('cancels pending visibility RAF on unmount', () => {
|
||||
const initialItems: Record<number, LegendItem> = {
|
||||
1: { seriesIndex: 1, label: 'CPU', show: true, color: '#f00' },
|
||||
};
|
||||
|
||||
const { config, invokeSetSeries } = createMockConfig(initialItems);
|
||||
|
||||
// Override RAF to not immediately invoke callback so we can assert cancellation
|
||||
requestAnimationFrameSpy.mockImplementationOnce(() => 42);
|
||||
|
||||
const { unmount } = renderHook(() => useLegendsSync({ config }));
|
||||
|
||||
invokeSetSeries(1, { show: false });
|
||||
|
||||
unmount();
|
||||
|
||||
expect(cancelAnimationFrameSpy).toHaveBeenCalledWith(42);
|
||||
});
|
||||
});
|
||||
218
frontend/src/lib/uPlotV2/utils/__tests__/axis.test.ts
Normal file
218
frontend/src/lib/uPlotV2/utils/__tests__/axis.test.ts
Normal file
@@ -0,0 +1,218 @@
|
||||
import type uPlot from 'uplot';
|
||||
import { Axis } from 'uplot';
|
||||
|
||||
import {
|
||||
buildYAxisSizeCalculator,
|
||||
calculateTextWidth,
|
||||
getExistingAxisSize,
|
||||
} from '../axis';
|
||||
|
||||
describe('axis utils', () => {
|
||||
describe('calculateTextWidth', () => {
|
||||
it('returns 0 when values are undefined or empty', () => {
|
||||
const mockSelf = ({
|
||||
ctx: {
|
||||
measureText: jest.fn(),
|
||||
font: '',
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
// internally the type is string but it is an array of strings
|
||||
const mockAxis: Axis = { font: (['12px sans-serif'] as unknown) as string };
|
||||
|
||||
expect(calculateTextWidth(mockSelf, mockAxis, undefined)).toBe(0);
|
||||
expect(calculateTextWidth(mockSelf, mockAxis, [])).toBe(0);
|
||||
});
|
||||
|
||||
it('returns 0 when longest value is empty string or axis has no usable font', () => {
|
||||
const mockSelf = ({
|
||||
ctx: {
|
||||
measureText: jest.fn(),
|
||||
font: '',
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const axisWithoutFont: Axis = { font: '' };
|
||||
const axisWithEmptyFontArray: Axis = { font: '' };
|
||||
|
||||
expect(calculateTextWidth(mockSelf, axisWithoutFont, [''])).toBe(0);
|
||||
expect(
|
||||
calculateTextWidth(mockSelf, axisWithEmptyFontArray, ['a', 'bb']),
|
||||
).toBe(0);
|
||||
});
|
||||
|
||||
it('measures longest value using canvas context and axis font', () => {
|
||||
const measureText = jest.fn(() => ({ width: 100 }));
|
||||
const mockSelf = ({
|
||||
ctx: {
|
||||
font: '',
|
||||
measureText,
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const mockAxis: Axis = { font: (['14px Arial'] as unknown) as string };
|
||||
const values = ['1', '1234', '12'];
|
||||
const dpr =
|
||||
((global as unknown) as { devicePixelRatio?: number }).devicePixelRatio ??
|
||||
1;
|
||||
|
||||
const result = calculateTextWidth(mockSelf, mockAxis, values);
|
||||
|
||||
expect(measureText).toHaveBeenCalledWith('1234');
|
||||
expect(mockSelf.ctx.font).toBe('14px Arial');
|
||||
expect(result).toBe(100 / dpr);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getExistingAxisSize', () => {
|
||||
it('returns internal _size when present', () => {
|
||||
const axis: any = {
|
||||
_size: 42,
|
||||
size: 10,
|
||||
};
|
||||
|
||||
const result = getExistingAxisSize({
|
||||
uplotInstance: ({} as unknown) as uPlot,
|
||||
axis,
|
||||
axisIdx: 0,
|
||||
cycleNum: 0,
|
||||
});
|
||||
|
||||
expect(result).toBe(42);
|
||||
});
|
||||
|
||||
it('invokes size function when _size is not set', () => {
|
||||
const sizeFn = jest.fn(() => 24);
|
||||
const axis: Axis = { size: sizeFn };
|
||||
const instance = ({} as unknown) as uPlot;
|
||||
|
||||
const result = getExistingAxisSize({
|
||||
uplotInstance: instance,
|
||||
axis,
|
||||
values: ['10', '20'],
|
||||
axisIdx: 1,
|
||||
cycleNum: 2,
|
||||
});
|
||||
|
||||
expect(sizeFn).toHaveBeenCalledWith(instance, ['10', '20'], 1, 2);
|
||||
expect(result).toBe(24);
|
||||
});
|
||||
|
||||
it('returns numeric size or 0 when neither _size nor size are provided', () => {
|
||||
const axisWithSize: Axis = { size: 16 };
|
||||
const axisWithoutSize: Axis = {};
|
||||
const instance = ({} as unknown) as uPlot;
|
||||
|
||||
expect(
|
||||
getExistingAxisSize({
|
||||
uplotInstance: instance,
|
||||
axis: axisWithSize,
|
||||
axisIdx: 0,
|
||||
cycleNum: 0,
|
||||
}),
|
||||
).toBe(16);
|
||||
|
||||
expect(
|
||||
getExistingAxisSize({
|
||||
uplotInstance: instance,
|
||||
axis: axisWithoutSize,
|
||||
axisIdx: 0,
|
||||
cycleNum: 0,
|
||||
}),
|
||||
).toBe(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('buildYAxisSizeCalculator', () => {
|
||||
it('delegates to getExistingAxisSize when cycleNum > 1', () => {
|
||||
const sizeCalculator = buildYAxisSizeCalculator(5);
|
||||
|
||||
const axis: any = {
|
||||
_size: 80,
|
||||
ticks: { size: 10 },
|
||||
font: ['12px sans-serif'],
|
||||
};
|
||||
|
||||
const measureText = jest.fn(() => ({ width: 60 }));
|
||||
const self = ({
|
||||
axes: [axis],
|
||||
ctx: {
|
||||
font: '',
|
||||
measureText,
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
if (typeof sizeCalculator === 'number') {
|
||||
throw new Error('Size calculator is a number');
|
||||
}
|
||||
|
||||
const result = sizeCalculator(self, ['10', '20'], 0, 2);
|
||||
|
||||
expect(result).toBe(80);
|
||||
expect(measureText).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('computes size from ticks, gap and text width when cycleNum <= 1', () => {
|
||||
const gap = 7;
|
||||
const sizeCalculator = buildYAxisSizeCalculator(gap);
|
||||
|
||||
const axis: Axis = {
|
||||
ticks: { size: 12 },
|
||||
font: (['12px sans-serif'] as unknown) as string,
|
||||
};
|
||||
|
||||
const measureText = jest.fn(() => ({ width: 50 }));
|
||||
const self = ({
|
||||
axes: [axis],
|
||||
ctx: {
|
||||
font: '',
|
||||
measureText,
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const dpr =
|
||||
((global as unknown) as { devicePixelRatio?: number }).devicePixelRatio ??
|
||||
1;
|
||||
const expected = Math.ceil(12 + gap + 50 / dpr);
|
||||
|
||||
if (typeof sizeCalculator === 'number') {
|
||||
throw new Error('Size calculator is a number');
|
||||
}
|
||||
|
||||
const result = sizeCalculator(self, ['short', 'the-longest'], 0, 0);
|
||||
expect(measureText).toHaveBeenCalledWith('the-longest');
|
||||
expect(result).toBe(expected);
|
||||
});
|
||||
|
||||
it('uses 0 ticks size when ticks are not defined', () => {
|
||||
const gap = 4;
|
||||
const sizeCalculator = buildYAxisSizeCalculator(gap);
|
||||
|
||||
const axis: Axis = {
|
||||
font: (['12px sans-serif'] as unknown) as string,
|
||||
};
|
||||
|
||||
const measureText = jest.fn(() => ({ width: 40 }));
|
||||
const self = ({
|
||||
axes: [axis],
|
||||
ctx: {
|
||||
font: '',
|
||||
measureText,
|
||||
},
|
||||
} as unknown) as uPlot;
|
||||
|
||||
const dpr =
|
||||
((global as unknown) as { devicePixelRatio?: number }).devicePixelRatio ??
|
||||
1;
|
||||
const expected = Math.ceil(gap + 40 / dpr);
|
||||
|
||||
if (typeof sizeCalculator === 'number') {
|
||||
throw new Error('Size calculator is a number');
|
||||
}
|
||||
|
||||
const result = sizeCalculator(self, ['1', '123'], 0, 1);
|
||||
|
||||
expect(result).toBe(expected);
|
||||
});
|
||||
});
|
||||
});
|
||||
80
frontend/src/lib/uPlotV2/utils/axis.ts
Normal file
80
frontend/src/lib/uPlotV2/utils/axis.ts
Normal file
@@ -0,0 +1,80 @@
|
||||
import { Axis } from 'uplot';
|
||||
|
||||
/**
|
||||
* Calculate text width for longest value
|
||||
*/
|
||||
export function calculateTextWidth(
|
||||
self: uPlot,
|
||||
axis: Axis,
|
||||
values: string[] | undefined,
|
||||
): number {
|
||||
if (!values || values.length === 0) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
// Find longest value
|
||||
const longestVal = values.reduce(
|
||||
(acc, val) => (val.length > acc.length ? val : acc),
|
||||
'',
|
||||
);
|
||||
|
||||
if (longestVal === '' || !axis.font?.[0]) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
self.ctx.font = axis.font[0];
|
||||
return self.ctx.measureText(longestVal).width / devicePixelRatio;
|
||||
}
|
||||
|
||||
export function getExistingAxisSize({
|
||||
uplotInstance,
|
||||
axis,
|
||||
values,
|
||||
axisIdx,
|
||||
cycleNum,
|
||||
}: {
|
||||
uplotInstance: uPlot;
|
||||
axis: Axis;
|
||||
values?: string[];
|
||||
axisIdx: number;
|
||||
cycleNum: number;
|
||||
}): number {
|
||||
const internalSize = (axis as { _size?: number })._size;
|
||||
if (internalSize !== undefined) {
|
||||
return internalSize;
|
||||
}
|
||||
|
||||
const existingSize = axis.size;
|
||||
if (typeof existingSize === 'function') {
|
||||
return existingSize(uplotInstance, values ?? [], axisIdx, cycleNum);
|
||||
}
|
||||
|
||||
return existingSize ?? 0;
|
||||
}
|
||||
|
||||
export function buildYAxisSizeCalculator(gap: number): uPlot.Axis.Size {
|
||||
return (
|
||||
self: uPlot,
|
||||
values: string[] | undefined,
|
||||
axisIdx: number,
|
||||
cycleNum: number,
|
||||
): number => {
|
||||
const axis = self.axes[axisIdx];
|
||||
|
||||
// Bail out, force convergence
|
||||
if (cycleNum > 1) {
|
||||
return getExistingAxisSize({
|
||||
uplotInstance: self,
|
||||
axis,
|
||||
values,
|
||||
axisIdx,
|
||||
cycleNum,
|
||||
});
|
||||
}
|
||||
|
||||
let axisSize = (axis.ticks?.size ?? 0) + gap;
|
||||
axisSize += calculateTextWidth(self, axis, values);
|
||||
|
||||
return Math.ceil(axisSize);
|
||||
};
|
||||
}
|
||||
@@ -1,11 +1,25 @@
|
||||
export function resolveSeriesVisibility(
|
||||
label: string,
|
||||
seriesShow: boolean | undefined | null,
|
||||
visibilityMap: Map<string, boolean> | null,
|
||||
isAnySeriesHidden: boolean,
|
||||
): boolean {
|
||||
if (isAnySeriesHidden) {
|
||||
return visibilityMap?.get(label) ?? false;
|
||||
import { SeriesVisibilityState } from 'container/DashboardContainer/visualization/panels/types';
|
||||
|
||||
export function resolveSeriesVisibility({
|
||||
seriesIndex,
|
||||
seriesShow,
|
||||
seriesLabel,
|
||||
seriesVisibilityState,
|
||||
isAnySeriesHidden,
|
||||
}: {
|
||||
seriesIndex: number;
|
||||
seriesShow: boolean | undefined | null;
|
||||
seriesLabel: string;
|
||||
seriesVisibilityState: SeriesVisibilityState | null;
|
||||
isAnySeriesHidden: boolean;
|
||||
}): boolean {
|
||||
if (
|
||||
isAnySeriesHidden &&
|
||||
seriesVisibilityState?.visibility &&
|
||||
seriesVisibilityState.labels.length > seriesIndex &&
|
||||
seriesVisibilityState.labels[seriesIndex] === seriesLabel
|
||||
) {
|
||||
return seriesVisibilityState.visibility[seriesIndex] ?? false;
|
||||
}
|
||||
return seriesShow ?? true;
|
||||
}
|
||||
|
||||
@@ -112,7 +112,7 @@ def verify_webhook_alert_expectation(
|
||||
break
|
||||
|
||||
# wait for some time before checking again
|
||||
time.sleep(10)
|
||||
time.sleep(1)
|
||||
|
||||
# We've waited but we didn't get the expected number of alerts
|
||||
|
||||
@@ -133,3 +133,15 @@ def verify_webhook_alert_expectation(
|
||||
)
|
||||
|
||||
return True # should not reach here
|
||||
|
||||
|
||||
def update_rule_channel_name(rule_data: dict, channel_name: str):
|
||||
"""
|
||||
updates the channel name in the thresholds
|
||||
so alert notification are sent to the given channel
|
||||
"""
|
||||
thresholds = rule_data["condition"]["thresholds"]
|
||||
if "kind" in thresholds and thresholds["kind"] == "basic":
|
||||
# loop over all the sepcs and update the channels
|
||||
for spec in thresholds["spec"]:
|
||||
spec["channels"] = [channel_name]
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
from typing import Callable, Optional
|
||||
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, Optional
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
def create_cloud_integration_account(
|
||||
request: pytest.FixtureRequest,
|
||||
@@ -24,9 +26,7 @@ def create_cloud_integration_account(
|
||||
cloud_provider: str = "aws",
|
||||
) -> dict:
|
||||
nonlocal created_account_id, cloud_provider_used
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-east-1"]},
|
||||
@@ -59,9 +59,7 @@ def create_cloud_integration_account(
|
||||
|
||||
def _disconnect(admin_token: str, cloud_provider: str) -> requests.Response:
|
||||
assert created_account_id
|
||||
disconnect_endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
)
|
||||
disconnect_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
return requests.post(
|
||||
signoz.self.host_configs["8080"].get(disconnect_endpoint),
|
||||
headers={"Authorization": f"Bearer {admin_token}"},
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
|
||||
from http import HTTPStatus
|
||||
|
||||
import requests
|
||||
|
||||
@@ -43,6 +43,10 @@ class MetricsTimeSeries(ABC):
|
||||
resource_attrs: dict[str, str] = {},
|
||||
scope_attrs: dict[str, str] = {},
|
||||
) -> None:
|
||||
# Create a copy of labels to avoid mutating the caller's dictionary
|
||||
labels = dict(labels)
|
||||
# Add metric_name to the labels to support promql queries
|
||||
labels["__name__"] = metric_name
|
||||
self.env = env
|
||||
self.metric_name = metric_name
|
||||
self.temporality = temporality
|
||||
|
||||
@@ -69,6 +69,10 @@ def signoz( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
"SIGNOZ_GLOBAL_INGESTION__URL": "https://ingest.test.signoz.cloud",
|
||||
"SIGNOZ_USER_PASSWORD_RESET_ALLOW__SELF": True,
|
||||
"SIGNOZ_USER_PASSWORD_RESET_MAX__TOKEN__LIFETIME": "6h",
|
||||
"RULES_EVAL_DELAY": "0s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_POLL__INTERVAL": "5s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__WAIT": "1s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__INTERVAL": "5s",
|
||||
}
|
||||
| sqlstore.env
|
||||
| clickhouse.env
|
||||
|
||||
@@ -191,3 +191,15 @@ class AlertExpectation:
|
||||
# seconds to wait for the alerts to be fired, if no
|
||||
# alerts are fired in the expected time, the test will fail
|
||||
wait_time_seconds: int
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class AlertTestCase:
|
||||
# name of the test case
|
||||
name: str
|
||||
# path to the rule file in testdata directory
|
||||
rule_path: str
|
||||
# list of alert data that will be inserted into the database
|
||||
alert_data: List[AlertData]
|
||||
# list of alert expectations for the test case
|
||||
alert_expectation: AlertExpectation
|
||||
|
||||
@@ -8,6 +8,9 @@ from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingRespons
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
def test_webhook_notification_channel(
|
||||
@@ -20,6 +23,7 @@ def test_webhook_notification_channel(
|
||||
"""
|
||||
Tests the creation and delivery of test alerts on the created notification channel
|
||||
"""
|
||||
logger.info("Setting up notification channel")
|
||||
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = f"notification-channel-{uuid.uuid4()}"
|
||||
@@ -55,10 +59,10 @@ def test_webhook_notification_channel(
|
||||
)
|
||||
|
||||
# TODO: @abhishekhugetech # pylint: disable=W0511
|
||||
# Time required for Org to be registered
|
||||
# in the alertmanager, default 1m.
|
||||
# Time required for newly created Org to be registered in the alertmanager is 5 seconds in signoz.py
|
||||
# this will be fixed after [https://github.com/SigNoz/engineering-pod/issues/3800]
|
||||
time.sleep(65)
|
||||
# 10 seconds safe time for org to be registered in the alertmanager
|
||||
time.sleep(10)
|
||||
|
||||
# Call test API for the notification channel
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
@@ -0,0 +1,671 @@
|
||||
import json
|
||||
import uuid
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingResponse
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.alertutils import (
|
||||
update_rule_channel_name,
|
||||
verify_webhook_alert_expectation,
|
||||
)
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
# test cases for match type and compare operators have wait time of 30 seconds to verify the alert expectation.
|
||||
# we've poistioned the alert data to fire the alert on first eval of rule manager, the eval frequency
|
||||
# for most alert rules are set of 15s so considering this delay plus some delay from alert manager's
|
||||
# group_wait and group_interval, even in worst case most alerts should be triggered in about 30 seconds
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_above_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_above_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_above_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "server",
|
||||
},
|
||||
),
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "api",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_average",
|
||||
rule_path="alerts/test_scenarios/threshold_above_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="traces",
|
||||
data_path="alerts/test_scenarios/threshold_above_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_above_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_above_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_below_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_below_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_below_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_average",
|
||||
rule_path="alerts/test_scenarios/threshold_below_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_below_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_below_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_not_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_not_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
# test cases unit conversion
|
||||
TEST_RULES_UNIT_CONVERSION = [
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_bytes_to_mb",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_bytes_to_mb",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_ms_to_second",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_ms_to_second/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_ms_to_second",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
]
|
||||
|
||||
# test cases miscellaneous cases, no data and multi threshold
|
||||
TEST_RULES_MISCELLANEOUS = [
|
||||
types.AlertTestCase(
|
||||
name="test_no_data_rule_test",
|
||||
rule_path="alerts/test_scenarios/no_data_rule_test/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/no_data_rule_test/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "[No data] no_data_rule_test",
|
||||
"nodata": "true",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for multi threshold rule, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3934) with alertManager is resolved
|
||||
# types.AlertTestCase(
|
||||
# name="test_multi_threshold_rule_test",
|
||||
# rule_path="alerts/test_scenarios/multi_threshold_rule_test/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# # the second alert will be fired with some delay from alert manager's group_interval
|
||||
# # so taking this in consideration, the wait time is 90 seconds (30s + 30s for next alert + 30s buffer)
|
||||
# wait_time_seconds=90,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "info",
|
||||
# }
|
||||
# ),
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "warning",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"alert_test_case",
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS
|
||||
+ TEST_RULES_UNIT_CONVERSION
|
||||
+ TEST_RULES_MISCELLANEOUS,
|
||||
ids=lambda alert_test_case: alert_test_case.name,
|
||||
)
|
||||
def test_basic_alert_rule_conditions(
|
||||
# Notification channel related fixtures
|
||||
notification_channel: types.TestContainerDocker,
|
||||
make_http_mocks: Callable[[types.TestContainerDocker, List[Mapping]], None],
|
||||
create_webhook_notification_channel: Callable[[str, str, dict, bool], str],
|
||||
# Alert rule related fixtures
|
||||
create_alert_rule: Callable[[dict], str],
|
||||
# Alert data insertion related fixtures
|
||||
insert_alert_data: Callable[[List[types.AlertData], datetime], None],
|
||||
alert_test_case: types.AlertTestCase,
|
||||
):
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = str(uuid.uuid4())
|
||||
webhook_endpoint_path = f"/alert/{notification_channel_name}"
|
||||
notification_url = notification_channel.container_configs["8080"].get(
|
||||
webhook_endpoint_path
|
||||
)
|
||||
|
||||
logger.info("notification_url: %s", {"notification_url": notification_url})
|
||||
|
||||
# register the mock endpoint in notification channel
|
||||
make_http_mocks(
|
||||
notification_channel,
|
||||
[
|
||||
Mapping(
|
||||
request=MappingRequest(
|
||||
method=HttpMethods.POST,
|
||||
url=webhook_endpoint_path,
|
||||
),
|
||||
response=MappingResponse(
|
||||
status=200,
|
||||
json_body={},
|
||||
),
|
||||
persistent=False,
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
# Create an alert channel using the given route
|
||||
create_webhook_notification_channel(
|
||||
channel_name=notification_channel_name,
|
||||
webhook_url=notification_url,
|
||||
http_config={},
|
||||
send_resolved=False,
|
||||
)
|
||||
|
||||
logger.info(
|
||||
"alert channel created with name: %s",
|
||||
{"notification_channel_name": notification_channel_name},
|
||||
)
|
||||
|
||||
# Insert alert data
|
||||
insert_alert_data(
|
||||
alert_test_case.alert_data,
|
||||
base_time=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
|
||||
)
|
||||
|
||||
# Create Alert Rule
|
||||
rule_path = get_testdata_file_path(alert_test_case.rule_path)
|
||||
with open(rule_path, "r", encoding="utf-8") as f:
|
||||
rule_data = json.loads(f.read())
|
||||
# Update the channel name in the rule data
|
||||
update_rule_channel_name(rule_data, notification_channel_name)
|
||||
rule_id = create_alert_rule(rule_data)
|
||||
logger.info(
|
||||
"rule created with id: %s",
|
||||
{"rule_id": rule_id, "rule_name": rule_data["alert"]},
|
||||
)
|
||||
|
||||
# Verify alert expectation
|
||||
verify_webhook_alert_expectation(
|
||||
notification_channel,
|
||||
notification_channel_name,
|
||||
alert_test_case.alert_expectation,
|
||||
)
|
||||
@@ -1,7 +1,6 @@
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,7 +20,9 @@ def test_generate_connection_url(
|
||||
# Get authentication token for admin user
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
cloud_provider = "aws"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
# Prepare request payload
|
||||
request_payload = {
|
||||
@@ -65,9 +66,7 @@ def test_generate_connection_url(
|
||||
data = response_data["data"]
|
||||
|
||||
# Assert account_id is a valid UUID format
|
||||
assert (
|
||||
len(data["account_id"]) > 0
|
||||
), "account_id should be a non-empty string (UUID)"
|
||||
assert len(data["account_id"]) > 0, "account_id should be a non-empty string (UUID)"
|
||||
|
||||
# Assert connection_url contains expected CloudFormation parameters
|
||||
connection_url = data["connection_url"]
|
||||
@@ -111,7 +110,9 @@ def test_generate_connection_url_unsupported_provider(
|
||||
# Try with GCP (unsupported)
|
||||
cloud_provider = "gcp"
|
||||
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-central1"]},
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -40,8 +36,9 @@ def test_list_connected_accounts_empty(
|
||||
data = response_data.get("data", response_data)
|
||||
assert "accounts" in data, "Response should contain 'accounts' field"
|
||||
assert isinstance(data["accounts"], list), "Accounts should be a list"
|
||||
assert len(data["accounts"]) == 0, "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
assert (
|
||||
len(data["accounts"]) == 0
|
||||
), "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
|
||||
def test_list_connected_accounts_with_account(
|
||||
@@ -60,7 +57,9 @@ def test_list_connected_accounts_with_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List accounts
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts"
|
||||
@@ -87,7 +86,6 @@ def test_list_connected_accounts_with_account(
|
||||
assert "status" in account, "Account should have status field"
|
||||
|
||||
|
||||
|
||||
def test_get_account_status(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -163,16 +161,16 @@ def test_update_account_config(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Update account configuration
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{account_id}/config"
|
||||
)
|
||||
|
||||
updated_config = {
|
||||
"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}
|
||||
}
|
||||
updated_config = {"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}}
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -198,7 +196,6 @@ def test_update_account_config(
|
||||
timeout=10,
|
||||
)
|
||||
|
||||
|
||||
list_response_data = list_response.json()
|
||||
list_data = list_response_data.get("data", list_response_data)
|
||||
account = next((a for a in list_data["accounts"] if a["id"] == account_id), None)
|
||||
@@ -213,7 +210,6 @@ def test_update_account_config(
|
||||
}, "Regions should match updated config"
|
||||
|
||||
|
||||
|
||||
def test_disconnect_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -230,7 +226,9 @@ def test_disconnect_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Disconnect the account
|
||||
endpoint = (
|
||||
@@ -262,8 +260,9 @@ def test_disconnect_account(
|
||||
disconnected_account = next(
|
||||
(a for a in list_data["accounts"] if a["id"] == account_id), None
|
||||
)
|
||||
assert disconnected_account is None, f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
assert (
|
||||
disconnected_account is None
|
||||
), f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
|
||||
def test_disconnect_account_not_found(
|
||||
@@ -277,9 +276,7 @@ def test_disconnect_account_not_found(
|
||||
cloud_provider = "aws"
|
||||
fake_account_id = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -292,7 +289,6 @@ def test_disconnect_account_not_found(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_accounts_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -50,7 +46,6 @@ def test_list_services_without_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_list_services_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -66,7 +61,9 @@ def test_list_services_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List services for the account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services?cloud_account_id={cloud_account_id}"
|
||||
@@ -94,7 +91,6 @@ def test_list_services_with_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -141,7 +137,6 @@ def test_get_service_details_without_account(
|
||||
assert isinstance(data["assets"], dict), "Assets should be a dictionary"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -157,7 +152,9 @@ def test_get_service_details_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services first
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -196,7 +193,6 @@ def test_get_service_details_with_account(
|
||||
assert "status" in data, "Config should have 'status' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -220,7 +216,6 @@ def test_get_service_details_invalid_service(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_services_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -243,7 +238,6 @@ def test_list_services_unsupported_provider(
|
||||
), f"Expected 400, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -259,7 +253,9 @@ def test_update_service_config(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services to pick a valid service ID
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -274,7 +270,9 @@ def test_update_service_config(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Update service configuration
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -306,7 +304,6 @@ def test_update_service_config(
|
||||
assert "logs" in data["config"], "Config should contain 'logs' field"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -329,7 +326,9 @@ def test_update_service_config_without_account(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Try to update config with non-existent account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
fake_cloud_account_id = str(uuid.uuid4())
|
||||
config_payload = {
|
||||
@@ -351,7 +350,6 @@ def test_update_service_config_without_account(
|
||||
), f"Expected 500 for non-existent account, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -367,11 +365,15 @@ def test_update_service_config_invalid_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Try to update config for invalid service
|
||||
fake_service_id = "non-existent-service"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -392,7 +394,6 @@ def test_update_service_config_invalid_service(
|
||||
), f"Expected 404 for invalid service, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_disable_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -408,7 +409,9 @@ def test_update_service_config_disable_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get a valid service
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -422,7 +425,9 @@ def test_update_service_config_disable_service(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# First enable the service
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
enable_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
|
||||
@@ -2,11 +2,11 @@
|
||||
Look at the multi_temporality_counters_1h.jsonl file for the relevant data
|
||||
"""
|
||||
|
||||
import os
|
||||
import random
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
import random
|
||||
from typing import Any, Callable, List
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,8 +21,13 @@ from fixtures.querier import (
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
MULTI_TEMPORALITY_FILE = get_testdata_file_path("multi_temporality_counters_1h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path("multi_temporality_counters_10h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path("multi_temporality_counters_24h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path(
|
||||
"multi_temporality_counters_10h.jsonl"
|
||||
)
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path(
|
||||
"multi_temporality_counters_24h.jsonl"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_31st_minute, expected_value_at_32nd_minute, steady_value",
|
||||
@@ -39,7 +44,7 @@ def test_with_steady_values_and_reset(
|
||||
time_aggregation: str,
|
||||
expected_value_at_31st_minute: float,
|
||||
expected_value_at_32nd_minute: float,
|
||||
steady_value: float
|
||||
steady_value: float,
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
@@ -69,22 +74,21 @@ def test_with_steady_values_and_reset(
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 59
|
||||
# the counter reset happened at 31st minute
|
||||
assert (
|
||||
result_values[30]["value"] == expected_value_at_31st_minute
|
||||
)
|
||||
assert (
|
||||
result_values[31]["value"] == expected_value_at_32nd_minute
|
||||
)
|
||||
assert result_values[30]["value"] == expected_value_at_31st_minute
|
||||
assert result_values[31]["value"] == expected_value_at_32nd_minute
|
||||
assert (
|
||||
result_values[39]["value"] == steady_value
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
count_of_steady_rate = sum(1 for v in result_values if v["value"] == steady_value)
|
||||
assert (
|
||||
count_of_steady_rate >= 56
|
||||
) # 59 - (1 reset + 1 high rate + 1 at the beginning)
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, stable_health_value, stable_products_value, stable_checkout_value, spike_checkout_value, stable_orders_value, spike_users_value",
|
||||
@@ -161,20 +165,26 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == stable_health_value)
|
||||
count_steady_health = sum(
|
||||
1 for v in health_values if v["value"] == stable_health_value
|
||||
)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
|
||||
# all /health rates should be state except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == stable_health_value, f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
assert (
|
||||
v["value"] == stable_health_value
|
||||
), f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == stable_products_value)
|
||||
count_steady_products = sum(
|
||||
1 for v in products_values if v["value"] == stable_products_value
|
||||
)
|
||||
|
||||
# most values should be stable, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
@@ -182,7 +192,9 @@ def test_group_by_endpoint(
|
||||
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
|
||||
|
||||
# check that non-stable values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [v["value"] for v in products_values if v["value"] != stable_products_value]
|
||||
gap_boundary_values = [
|
||||
v["value"] for v in products_values if v["value"] != stable_products_value
|
||||
]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < stable_products_value
|
||||
@@ -193,12 +205,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == stable_checkout_value)
|
||||
count_steady_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == stable_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == spike_checkout_value)
|
||||
count_spike_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == spike_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
|
||||
@@ -220,12 +236,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == stable_orders_value)
|
||||
count_steady_orders = sum(
|
||||
1 for v in orders_values if v["value"] == stable_orders_value
|
||||
)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != stable_orders_value]
|
||||
non_standard_orders = [
|
||||
v["value"] for v in orders_values if v["value"] != stable_orders_value
|
||||
]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
@@ -252,6 +272,7 @@ def test_group_by_endpoint(
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_30th_minute, expected_value_at_31st_minute, value_at_switch",
|
||||
[
|
||||
@@ -267,7 +288,7 @@ def test_for_service_with_switch(
|
||||
time_aggregation: str,
|
||||
expected_value_at_30th_minute: float,
|
||||
expected_value_at_31st_minute: float,
|
||||
value_at_switch: float
|
||||
value_at_switch: float,
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
@@ -296,21 +317,18 @@ def test_for_service_with_switch(
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 60
|
||||
assert result_values[30]["value"] == expected_value_at_30th_minute # 0.183
|
||||
assert result_values[31]["value"] == expected_value_at_31st_minute # 0.183
|
||||
assert result_values[38]["value"] == value_at_switch # 0.25
|
||||
assert (
|
||||
result_values[30]["value"] == expected_value_at_30th_minute #0.183
|
||||
)
|
||||
assert (
|
||||
result_values[31]["value"] == expected_value_at_31st_minute # 0.183
|
||||
)
|
||||
assert (
|
||||
result_values[38]["value"] == value_at_switch # 0.25
|
||||
)
|
||||
assert (
|
||||
result_values[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
result_values[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
@@ -355,6 +373,7 @@ def test_for_week_long_time_range(
|
||||
for value in result_values[1:]:
|
||||
assert value["value"] == expected_value
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
[
|
||||
|
||||
@@ -1,23 +1,23 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
|
||||
def test_managed_roles_create_on_register(
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# get the list of all roles.
|
||||
response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -32,18 +32,22 @@ def test_managed_roles_create_on_register(
|
||||
# since this check happens immediately post registeration, all the managed roles should be present.
|
||||
assert len(data) == 4
|
||||
role_names = {role["name"] for role in data}
|
||||
expected_names = {"signoz-admin", "signoz-viewer", "signoz-editor", "signoz-anonymous"}
|
||||
expected_names = {
|
||||
"signoz-admin",
|
||||
"signoz-viewer",
|
||||
"signoz-editor",
|
||||
"signoz-anonymous",
|
||||
}
|
||||
# do the set mapping as this is order insensitive, direct list match is order-sensitive.
|
||||
assert set(role_names) == expected_names
|
||||
|
||||
|
||||
|
||||
def test_root_user_signoz_admin_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
# Get the user from the /user/me endpoint and extract the id
|
||||
@@ -64,14 +68,16 @@ def test_root_user_signoz_admin_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-admin"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-admin"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -80,15 +86,14 @@ def test_root_user_signoz_admin_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{user_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -97,13 +102,13 @@ def test_root_user_signoz_admin_assignment(
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_anonymous_user_signoz_anonymous_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
response = requests.get(
|
||||
@@ -115,14 +120,16 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-anonymous"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-anonymous"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -131,15 +138,14 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_object_type"] == "anonymous"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -147,5 +153,3 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
_user = f"anonymous:organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
@@ -1,11 +1,16 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD, USER_EDITOR_EMAIL, USER_EDITOR_PASSWORD
|
||||
from fixtures.auth import (
|
||||
USER_ADMIN_EMAIL,
|
||||
USER_ADMIN_PASSWORD,
|
||||
USER_EDITOR_EMAIL,
|
||||
USER_EDITOR_PASSWORD,
|
||||
)
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
@@ -16,7 +21,7 @@ def test_user_invite_accept_role_grant(
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# invite a user as editor
|
||||
invite_payload = {
|
||||
"email": USER_EDITOR_EMAIL,
|
||||
@@ -30,7 +35,7 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
assert invite_response.status_code == HTTPStatus.CREATED
|
||||
invite_token = invite_response.json()["data"]["token"]
|
||||
|
||||
|
||||
# accept the invite for editor
|
||||
accept_payload = {
|
||||
"token": invite_token,
|
||||
@@ -40,7 +45,7 @@ def test_user_invite_accept_role_grant(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/invite/accept"),
|
||||
json=accept_payload,
|
||||
timeout=2,
|
||||
)
|
||||
)
|
||||
assert accept_response.status_code == HTTPStatus.CREATED
|
||||
|
||||
# Login with editor email and password
|
||||
@@ -53,7 +58,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert user_me_response.status_code == HTTPStatus.OK
|
||||
editor_id = user_me_response.json()["data"]["id"]
|
||||
|
||||
|
||||
# check the forbidden response for admin api for editor user
|
||||
admin_roles_response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -79,11 +83,11 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
# verify the user tuple details depending on db provider
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -93,7 +97,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_user_update_role_grant(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -122,9 +125,7 @@ def test_user_update_role_grant(
|
||||
org_id = roles_data[0]["orgId"]
|
||||
|
||||
# Update the user's role to viewer
|
||||
update_payload = {
|
||||
"role": "VIEWER"
|
||||
}
|
||||
update_payload = {"role": "VIEWER"}
|
||||
update_response = requests.put(
|
||||
signoz.self.host_configs["8080"].get(f"/api/v1/user/{editor_id}"),
|
||||
json=update_payload,
|
||||
@@ -139,7 +140,9 @@ def test_user_update_role_grant(
|
||||
viewer_tuple_object_id = f"organization/{org_id}/role/signoz-viewer"
|
||||
# Check there is no tuple for signoz-editor assignment
|
||||
editor_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": editor_tuple_object_id},
|
||||
)
|
||||
for row in editor_tuple_result.mappings().fetchall():
|
||||
@@ -152,13 +155,15 @@ def test_user_update_role_grant(
|
||||
|
||||
# Check that a tuple exists for signoz-viewer assignment
|
||||
viewer_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": viewer_tuple_object_id},
|
||||
)
|
||||
row = viewer_tuple_result.mappings().fetchone()
|
||||
assert row is not None
|
||||
assert row['object_type'] == "role"
|
||||
assert row['relation'] == "assignee"
|
||||
assert row["object_type"] == "role"
|
||||
assert row["relation"] == "assignee"
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert row["user_object_type"] == "user"
|
||||
@@ -168,6 +173,7 @@ def test_user_update_role_grant(
|
||||
assert row["user_type"] == "user"
|
||||
assert row["_user"] == _user
|
||||
|
||||
|
||||
def test_user_delete_role_revoke(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -205,10 +211,12 @@ def test_user_delete_role_revoke(
|
||||
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
# there should NOT be any tuple for the current user assignment
|
||||
tuple_rows = tuple_result.mappings().fetchall()
|
||||
for row in tuple_rows:
|
||||
@@ -217,4 +225,4 @@ def test_user_delete_role_revoke(
|
||||
assert row["user_object_id"] != user_object_id
|
||||
else:
|
||||
_user = f"user:organization/{org_id}/user/{editor_id}"
|
||||
assert row["_user"] != _user
|
||||
assert row["_user"] != _user
|
||||
|
||||
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,83 @@
|
||||
{
|
||||
"alert": "multi_threshold_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 30,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "warning",
|
||||
"target": 20,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "info",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_multi_threshold_rule_test",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":26,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":41,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":56,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":101,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":116,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":131,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":146,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":161,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":176,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,70 @@
|
||||
{
|
||||
"alert": "no_data_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"filter": {
|
||||
"expression": "service = 'server'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_no_data_rule_test",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A",
|
||||
"alertOnAbsent": true,
|
||||
"absentFor": 1
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_all_the_time",
|
||||
"ruleType": "promql_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "promql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "promql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "{\"cpu_percent_threshold_above_all_the_time\"}"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":19,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":38,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "clickhouse_sql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "clickhouse_sql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= {{.start_timestamp_ms}} \n AND unix_milli < {{.end_timestamp_ms}} \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n avg(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "duration": "PT0.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a1", "span_id": "a1b2c3d4e5f6g7h8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "duration": "PT1.2S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a2", "span_id": "a2b3c4d5e6f7g8h9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "duration": "PT0.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a3", "span_id": "a3b4c5d6e7f8g9h0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "duration": "PT1.5S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a4", "span_id": "a4b5c6d7e8f9g0h1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "duration": "PT1.1S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a5", "span_id": "a5b6c7d8e9f0g1h2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "duration": "PT0.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a6", "span_id": "a6b7c8d9e0f1g2h3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "duration": "PT1.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a7", "span_id": "a7b8c9d0e1f2g3h4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "duration": "PT1.3S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a8", "span_id": "a8b9c0d1e2f3g4h5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "duration": "PT0.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a9", "span_id": "a9b0c1d2e3f4g5h6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "duration": "PT1.4S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b1", "span_id": "b1c2d3e4f5g6h7i8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "duration": "PT1.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b2", "span_id": "b2c3d4e5f6g7h8i9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" },"attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "duration": "PT0.85S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b3", "span_id": "b3c4d5e6f7g8h9i0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "duration": "PT1.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b4", "span_id": "b4c5d6e7f8g9h0i1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "duration": "PT1.25S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b5", "span_id": "b5c6d7e8f9g0h1i2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "duration": "PT0.95S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b6", "span_id": "b6c7d8e9f0g1h2i3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "duration": "PT1.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b7", "span_id": "b7c8d9e0f1g2h3i4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "duration": "PT1.35S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b8", "span_id": "b8c9d0e1f2g3h4i5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "duration": "PT0.75S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b9", "span_id": "b9c0d1e2f3g4h5i6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "duration": "PT1.55S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c1", "span_id": "c1d2e3f4g5h6i7j8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "duration": "PT1.65S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c2", "span_id": "c2d3e4f5g6h7i8j9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
@@ -0,0 +1,68 @@
|
||||
{
|
||||
"alert": "threshold_above_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "TRACES_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1,
|
||||
"matchType": "3",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "s"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"unit": "ns",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "traces",
|
||||
"filter": {
|
||||
"expression": "http.request.path = '/order'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "p90(duration_nano)"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,24 @@
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"alert": "threshold_above_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "4",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "service",
|
||||
"fieldDataType": "",
|
||||
"fieldContext": ""
|
||||
}
|
||||
],
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_above_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [
|
||||
"service"
|
||||
],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":31,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":46,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":58,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":76,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":81,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":91,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_above_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_threshold_above_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,18 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:02.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Rate limit check passed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "User login successful", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Health check endpoint called", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_below_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":301,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":302,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":303,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":304,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_below_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":95,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":90,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":85,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":78,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":72,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":80,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":76,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":82,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_left_threshold_below_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":7,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":13,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_at_least_once",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":120,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":180,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":720,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":780,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":840,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":960,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":1020,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":55,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":65,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":70,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":75,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_threshold_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":430,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":450,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "1",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_not_equal_to_at_least_once",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":16,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":605,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":606,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":607,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":608,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":609,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":610,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":611,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":612,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_not_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:01:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:03:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:04:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:05:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:06:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:09:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:10:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:11:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:12:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "seats_left_threshold_not_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":524288,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":1048576,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":1572864,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":2097152,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":3770016,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":5642880,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":10515744,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":11038632,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":11561520,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":12084408,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":12607296,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":13130184,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"alert": "unit_conversion_bytes_to_mb",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1.5,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "MBy"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"unit": "By",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_unit_conversion_bytes_to_mb",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":1500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":2000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":182100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":182200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":182300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":182400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":182500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":182600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":182700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":182800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/rule.json
vendored
Normal file
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/rule.json
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"alert": "unit_conversion_ms_to_second",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 3,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "s"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"unit": "ms",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "duration_ms_unit_conversion_ms_to_second",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
Reference in New Issue
Block a user