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feat/bar-p
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test/e2e/b
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0de2dbf674 |
@@ -11,7 +11,6 @@ import {
|
||||
|
||||
const dashboardVariablesQuery = async (
|
||||
props: Props,
|
||||
signal?: AbortSignal,
|
||||
): Promise<SuccessResponse<VariableResponseProps> | ErrorResponse> => {
|
||||
try {
|
||||
const { globalTime } = store.getState();
|
||||
@@ -33,7 +32,7 @@ const dashboardVariablesQuery = async (
|
||||
|
||||
payload.variables = { ...payload.variables, ...timeVariables };
|
||||
|
||||
const response = await axios.post(`/variables/query`, payload, { signal });
|
||||
const response = await axios.post(`/variables/query`, payload);
|
||||
|
||||
return {
|
||||
statusCode: 200,
|
||||
|
||||
@@ -19,7 +19,6 @@ export const getFieldValues = async (
|
||||
startUnixMilli?: number,
|
||||
endUnixMilli?: number,
|
||||
existingQuery?: string,
|
||||
abortSignal?: AbortSignal,
|
||||
): Promise<SuccessResponseV2<FieldValueResponse>> => {
|
||||
const params: Record<string, string> = {};
|
||||
|
||||
@@ -48,10 +47,7 @@ export const getFieldValues = async (
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await axios.get('/fields/values', {
|
||||
params,
|
||||
signal: abortSignal,
|
||||
});
|
||||
const response = await axios.get('/fields/values', { params });
|
||||
|
||||
// Normalize values from different types (stringValues, boolValues, etc.)
|
||||
if (response.data?.data?.values) {
|
||||
|
||||
@@ -73,7 +73,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
enableRegexOption = false,
|
||||
isDynamicVariable = false,
|
||||
showRetryButton = true,
|
||||
waitingMessage,
|
||||
...rest
|
||||
}) => {
|
||||
// ===== State & Refs =====
|
||||
@@ -1682,7 +1681,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
{!loading &&
|
||||
!errorMessage &&
|
||||
!noDataMessage &&
|
||||
!waitingMessage &&
|
||||
!(showIncompleteDataMessage && isScrolledToBottom) && (
|
||||
<section className="navigate">
|
||||
<ArrowDown size={8} className="icons" />
|
||||
@@ -1700,17 +1698,7 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
<div className="navigation-text">Refreshing values...</div>
|
||||
</div>
|
||||
)}
|
||||
{!loading && waitingMessage && (
|
||||
<div className="navigation-loading">
|
||||
<div className="navigation-icons">
|
||||
<LoadingOutlined />
|
||||
</div>
|
||||
<div className="navigation-text" title={waitingMessage}>
|
||||
{waitingMessage}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{errorMessage && !loading && !waitingMessage && (
|
||||
{errorMessage && !loading && (
|
||||
<div className="navigation-error">
|
||||
<div className="navigation-text">
|
||||
{errorMessage || SOMETHING_WENT_WRONG}
|
||||
@@ -1732,7 +1720,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
{showIncompleteDataMessage &&
|
||||
isScrolledToBottom &&
|
||||
!loading &&
|
||||
!waitingMessage &&
|
||||
!errorMessage && (
|
||||
<div className="navigation-text-incomplete">
|
||||
Don't see the value? Use search
|
||||
@@ -1775,7 +1762,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
isDarkMode,
|
||||
isDynamicVariable,
|
||||
showRetryButton,
|
||||
waitingMessage,
|
||||
]);
|
||||
|
||||
// Custom handler for dropdown visibility changes
|
||||
|
||||
@@ -63,7 +63,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
showIncompleteDataMessage = false,
|
||||
showRetryButton = true,
|
||||
isDynamicVariable = false,
|
||||
waitingMessage,
|
||||
...rest
|
||||
}) => {
|
||||
// ===== State & Refs =====
|
||||
@@ -569,7 +568,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
{!loading &&
|
||||
!errorMessage &&
|
||||
!noDataMessage &&
|
||||
!waitingMessage &&
|
||||
!(showIncompleteDataMessage && isScrolledToBottom) && (
|
||||
<section className="navigate">
|
||||
<ArrowDown size={8} className="icons" />
|
||||
@@ -585,16 +583,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
<div className="navigation-text">Refreshing values...</div>
|
||||
</div>
|
||||
)}
|
||||
{!loading && waitingMessage && (
|
||||
<div className="navigation-loading">
|
||||
<div className="navigation-icons">
|
||||
<LoadingOutlined />
|
||||
</div>
|
||||
<div className="navigation-text" title={waitingMessage}>
|
||||
{waitingMessage}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{errorMessage && !loading && (
|
||||
<div className="navigation-error">
|
||||
<div className="navigation-text">
|
||||
@@ -617,7 +605,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
{showIncompleteDataMessage &&
|
||||
isScrolledToBottom &&
|
||||
!loading &&
|
||||
!waitingMessage &&
|
||||
!errorMessage && (
|
||||
<div className="navigation-text-incomplete">
|
||||
Don't see the value? Use search
|
||||
@@ -654,7 +641,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
showRetryButton,
|
||||
isDarkMode,
|
||||
isDynamicVariable,
|
||||
waitingMessage,
|
||||
]);
|
||||
|
||||
// Handle dropdown visibility changes
|
||||
|
||||
@@ -30,7 +30,6 @@ export interface CustomSelectProps extends Omit<SelectProps, 'options'> {
|
||||
showIncompleteDataMessage?: boolean;
|
||||
showRetryButton?: boolean;
|
||||
isDynamicVariable?: boolean;
|
||||
waitingMessage?: string;
|
||||
}
|
||||
|
||||
export interface CustomTagProps {
|
||||
@@ -67,5 +66,4 @@ export interface CustomMultiSelectProps
|
||||
enableRegexOption?: boolean;
|
||||
isDynamicVariable?: boolean;
|
||||
showRetryButton?: boolean;
|
||||
waitingMessage?: string;
|
||||
}
|
||||
|
||||
@@ -1,45 +0,0 @@
|
||||
import { useCallback } from 'react';
|
||||
import ChartWrapper from 'container/DashboardContainer/visualization/charts/ChartWrapper/ChartWrapper';
|
||||
import BarChartTooltip from 'lib/uPlotV2/components/Tooltip/BarChartTooltip';
|
||||
import {
|
||||
BarTooltipProps,
|
||||
TooltipRenderArgs,
|
||||
} from 'lib/uPlotV2/components/types';
|
||||
|
||||
import { useBarChartStacking } from '../../hooks/useBarChartStacking';
|
||||
import { BarChartProps } from '../types';
|
||||
|
||||
export default function BarChart(props: BarChartProps): JSX.Element {
|
||||
const { children, isStackedBarChart, config, data, ...rest } = props;
|
||||
|
||||
const chartData = useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart,
|
||||
config,
|
||||
});
|
||||
|
||||
const renderTooltip = useCallback(
|
||||
(props: TooltipRenderArgs): React.ReactNode => {
|
||||
const tooltipProps: BarTooltipProps = {
|
||||
...props,
|
||||
timezone: rest.timezone,
|
||||
yAxisUnit: rest.yAxisUnit,
|
||||
decimalPrecision: rest.decimalPrecision,
|
||||
isStackedBarChart: isStackedBarChart,
|
||||
};
|
||||
return <BarChartTooltip {...tooltipProps} />;
|
||||
},
|
||||
[rest.timezone, rest.yAxisUnit, rest.decimalPrecision, isStackedBarChart],
|
||||
);
|
||||
|
||||
return (
|
||||
<ChartWrapper
|
||||
{...rest}
|
||||
config={config}
|
||||
data={chartData}
|
||||
renderTooltip={renderTooltip}
|
||||
>
|
||||
{children}
|
||||
</ChartWrapper>
|
||||
);
|
||||
}
|
||||
@@ -1,117 +0,0 @@
|
||||
import { AlignedData } from 'uplot';
|
||||
|
||||
import { getInitialStackedBands, stack } from '../stackUtils';
|
||||
|
||||
describe('stackUtils', () => {
|
||||
describe('stack', () => {
|
||||
const neverOmit = (): boolean => false;
|
||||
|
||||
it('preserves time axis as first row', () => {
|
||||
const data: AlignedData = [
|
||||
[100, 200, 300],
|
||||
[1, 2, 3],
|
||||
[4, 5, 6],
|
||||
];
|
||||
const { data: result } = stack(data, neverOmit);
|
||||
expect(result[0]).toEqual([100, 200, 300]);
|
||||
});
|
||||
|
||||
it('stacks value series cumulatively (last = raw, first = total)', () => {
|
||||
// Time, then 3 value series. Stack order: last series stays raw, then we add upward.
|
||||
const data: AlignedData = [
|
||||
[0, 1, 2],
|
||||
[1, 2, 3], // series 1
|
||||
[4, 5, 6], // series 2
|
||||
[7, 8, 9], // series 3
|
||||
];
|
||||
const { data: result } = stack(data, neverOmit);
|
||||
// result[1] = s1+s2+s3, result[2] = s2+s3, result[3] = s3
|
||||
expect(result[1]).toEqual([12, 15, 18]); // 1+4+7, 2+5+8, 3+6+9
|
||||
expect(result[2]).toEqual([11, 13, 15]); // 4+7, 5+8, 6+9
|
||||
expect(result[3]).toEqual([7, 8, 9]);
|
||||
});
|
||||
|
||||
it('treats null values as 0 when stacking', () => {
|
||||
const data: AlignedData = [
|
||||
[0, 1],
|
||||
[1, null],
|
||||
[null, 10],
|
||||
];
|
||||
const { data: result } = stack(data, neverOmit);
|
||||
expect(result[1]).toEqual([1, 10]); // total
|
||||
expect(result[2]).toEqual([0, 10]); // last series with null→0
|
||||
});
|
||||
|
||||
it('copies omitted series as-is without accumulating', () => {
|
||||
// Omit series 2 (index 2); series 1 and 3 are stacked.
|
||||
const data: AlignedData = [
|
||||
[0, 1],
|
||||
[10, 20], // series 1
|
||||
[100, 200], // series 2 - omitted
|
||||
[1, 2], // series 3
|
||||
];
|
||||
const omitSeries2 = (i: number): boolean => i === 2;
|
||||
const { data: result } = stack(data, omitSeries2);
|
||||
// series 3 raw: [1, 2]; series 2 omitted: [100, 200] as-is; series 1 stacked with s3: [11, 22]
|
||||
expect(result[1]).toEqual([11, 22]); // 10+1, 20+2
|
||||
expect(result[2]).toEqual([100, 200]); // copied, not stacked
|
||||
expect(result[3]).toEqual([1, 2]);
|
||||
});
|
||||
|
||||
it('returns bands between consecutive visible series when none omitted', () => {
|
||||
const data: AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
[5, 6],
|
||||
];
|
||||
const { bands } = stack(data, neverOmit);
|
||||
expect(bands).toEqual([{ series: [1, 2] }, { series: [2, 3] }]);
|
||||
});
|
||||
|
||||
it('returns bands only between visible series when some are omitted', () => {
|
||||
// 4 value series; omit index 2. Visible: 1, 3, 4. Bands: [1,3], [3,4]
|
||||
const data: AlignedData = [[0], [1], [2], [3], [4]];
|
||||
const omitSeries2 = (i: number): boolean => i === 2;
|
||||
const { bands } = stack(data, omitSeries2);
|
||||
expect(bands).toEqual([{ series: [1, 3] }, { series: [3, 4] }]);
|
||||
});
|
||||
|
||||
it('returns empty bands when only one value series', () => {
|
||||
const data: AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
];
|
||||
const { bands } = stack(data, neverOmit);
|
||||
expect(bands).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getInitialStackedBands', () => {
|
||||
it('returns one band between each consecutive pair for seriesCount 3', () => {
|
||||
expect(getInitialStackedBands(3)).toEqual([
|
||||
{ series: [1, 2] },
|
||||
{ series: [2, 3] },
|
||||
]);
|
||||
});
|
||||
|
||||
it('returns empty array for seriesCount 0 or 1', () => {
|
||||
expect(getInitialStackedBands(0)).toEqual([]);
|
||||
expect(getInitialStackedBands(1)).toEqual([]);
|
||||
});
|
||||
|
||||
it('returns single band for seriesCount 2', () => {
|
||||
expect(getInitialStackedBands(2)).toEqual([{ series: [1, 2] }]);
|
||||
});
|
||||
|
||||
it('returns bands [1,2], [2,3], ..., [n-1, n] for seriesCount n', () => {
|
||||
const bands = getInitialStackedBands(5);
|
||||
expect(bands).toEqual([
|
||||
{ series: [1, 2] },
|
||||
{ series: [2, 3] },
|
||||
{ series: [3, 4] },
|
||||
{ series: [4, 5] },
|
||||
]);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -1,116 +0,0 @@
|
||||
import uPlot, { AlignedData } from 'uplot';
|
||||
|
||||
/**
|
||||
* Stack data cumulatively (top-down: first series = top, last = bottom).
|
||||
* When `omit(seriesIndex)` returns true, that series is excluded from stacking.
|
||||
*/
|
||||
export function stack(
|
||||
data: AlignedData,
|
||||
omit: (seriesIndex: number) => boolean,
|
||||
): { data: AlignedData; bands: uPlot.Band[] } {
|
||||
const timeAxis = data[0];
|
||||
const pointCount = timeAxis.length;
|
||||
const valueSeriesCount = data.length - 1; // exclude time axis
|
||||
|
||||
const stackedSeries = buildStackedSeries({
|
||||
data,
|
||||
valueSeriesCount,
|
||||
pointCount,
|
||||
omit,
|
||||
});
|
||||
const bands = buildFillBands(valueSeriesCount + 1, omit); // +1 for 1-based series indices
|
||||
|
||||
return {
|
||||
data: [timeAxis, ...stackedSeries] as AlignedData,
|
||||
bands,
|
||||
};
|
||||
}
|
||||
|
||||
interface BuildStackedSeriesParams {
|
||||
data: AlignedData;
|
||||
valueSeriesCount: number;
|
||||
pointCount: number;
|
||||
omit: (seriesIndex: number) => boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Accumulate from last series upward: last series = raw values, first = total.
|
||||
* Omitted series are copied as-is (no accumulation).
|
||||
*/
|
||||
function buildStackedSeries({
|
||||
data,
|
||||
valueSeriesCount,
|
||||
pointCount,
|
||||
omit,
|
||||
}: BuildStackedSeriesParams): (number | null)[][] {
|
||||
const stackedSeries: (number | null)[][] = Array(valueSeriesCount);
|
||||
const cumulativeSums = Array(pointCount).fill(0) as number[];
|
||||
|
||||
for (let seriesIndex = valueSeriesCount; seriesIndex >= 1; seriesIndex--) {
|
||||
const rawValues = data[seriesIndex] as (number | null)[];
|
||||
|
||||
if (omit(seriesIndex)) {
|
||||
stackedSeries[seriesIndex - 1] = rawValues;
|
||||
} else {
|
||||
stackedSeries[seriesIndex - 1] = rawValues.map((rawValue, pointIndex) => {
|
||||
const numericValue = rawValue == null ? 0 : Number(rawValue);
|
||||
return (cumulativeSums[pointIndex] += numericValue);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return stackedSeries;
|
||||
}
|
||||
|
||||
/**
|
||||
* Bands define fill between consecutive visible series for stacked appearance.
|
||||
* uPlot format: [upperSeriesIdx, lowerSeriesIdx].
|
||||
*/
|
||||
function buildFillBands(
|
||||
seriesLength: number,
|
||||
omit: (seriesIndex: number) => boolean,
|
||||
): uPlot.Band[] {
|
||||
const bands: uPlot.Band[] = [];
|
||||
|
||||
for (let seriesIndex = 1; seriesIndex < seriesLength; seriesIndex++) {
|
||||
if (omit(seriesIndex)) {
|
||||
continue;
|
||||
}
|
||||
const nextVisibleSeriesIndex = findNextVisibleSeriesIndex(
|
||||
seriesLength,
|
||||
seriesIndex,
|
||||
omit,
|
||||
);
|
||||
if (nextVisibleSeriesIndex !== -1) {
|
||||
bands.push({ series: [seriesIndex, nextVisibleSeriesIndex] });
|
||||
}
|
||||
}
|
||||
|
||||
return bands;
|
||||
}
|
||||
|
||||
function findNextVisibleSeriesIndex(
|
||||
seriesLength: number,
|
||||
afterIndex: number,
|
||||
omit: (seriesIndex: number) => boolean,
|
||||
): number {
|
||||
for (let i = afterIndex + 1; i < seriesLength; i++) {
|
||||
if (!omit(i)) {
|
||||
return i;
|
||||
}
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns band indices for initial stacked state (no series omitted).
|
||||
* Top-down: first series at top, band fills between consecutive series.
|
||||
* uPlot band format: [upperSeriesIdx, lowerSeriesIdx].
|
||||
*/
|
||||
export function getInitialStackedBands(seriesCount: number): uPlot.Band[] {
|
||||
const bands: uPlot.Band[] = [];
|
||||
for (let seriesIndex = 1; seriesIndex < seriesCount; seriesIndex++) {
|
||||
bands.push({ series: [seriesIndex, seriesIndex + 1] });
|
||||
}
|
||||
return bands;
|
||||
}
|
||||
@@ -1,313 +0,0 @@
|
||||
import { renderHook } from '@testing-library/react';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import type { UseBarChartStackingParams } from '../useBarChartStacking';
|
||||
import { useBarChartStacking } from '../useBarChartStacking';
|
||||
|
||||
type MockConfig = { addHook: jest.Mock };
|
||||
|
||||
function asConfig(c: MockConfig): UseBarChartStackingParams['config'] {
|
||||
return (c as unknown) as UseBarChartStackingParams['config'];
|
||||
}
|
||||
|
||||
function createMockConfig(): {
|
||||
config: MockConfig;
|
||||
invokeSetData: (plot: uPlot) => void;
|
||||
invokeSetSeries: (
|
||||
plot: uPlot,
|
||||
seriesIndex: number | null,
|
||||
opts: Partial<uPlot.Series> & { focus?: boolean },
|
||||
) => void;
|
||||
removeSetData: jest.Mock;
|
||||
removeSetSeries: jest.Mock;
|
||||
} {
|
||||
let setDataHandler: ((plot: uPlot) => void) | null = null;
|
||||
let setSeriesHandler:
|
||||
| ((plot: uPlot, seriesIndex: number | null, opts: uPlot.Series) => void)
|
||||
| null = null;
|
||||
|
||||
const removeSetData = jest.fn();
|
||||
const removeSetSeries = jest.fn();
|
||||
|
||||
const addHook = jest.fn(
|
||||
(
|
||||
hookName: string,
|
||||
handler: (plot: uPlot, ...args: unknown[]) => void,
|
||||
): (() => void) => {
|
||||
if (hookName === 'setData') {
|
||||
setDataHandler = handler as (plot: uPlot) => void;
|
||||
return removeSetData;
|
||||
}
|
||||
if (hookName === 'setSeries') {
|
||||
setSeriesHandler = handler as (
|
||||
plot: uPlot,
|
||||
seriesIndex: number | null,
|
||||
opts: uPlot.Series,
|
||||
) => void;
|
||||
return removeSetSeries;
|
||||
}
|
||||
return jest.fn();
|
||||
},
|
||||
);
|
||||
|
||||
const config: MockConfig = { addHook };
|
||||
|
||||
const invokeSetData = (plot: uPlot): void => {
|
||||
setDataHandler?.(plot);
|
||||
};
|
||||
|
||||
const invokeSetSeries = (
|
||||
plot: uPlot,
|
||||
seriesIndex: number | null,
|
||||
opts: Partial<uPlot.Series> & { focus?: boolean },
|
||||
): void => {
|
||||
setSeriesHandler?.(plot, seriesIndex, opts as uPlot.Series);
|
||||
};
|
||||
|
||||
return {
|
||||
config,
|
||||
invokeSetData,
|
||||
invokeSetSeries,
|
||||
removeSetData,
|
||||
removeSetSeries,
|
||||
};
|
||||
}
|
||||
|
||||
function createMockPlot(overrides: Partial<uPlot> = {}): uPlot {
|
||||
return ({
|
||||
data: [
|
||||
[0, 1, 2],
|
||||
[1, 2, 3],
|
||||
[4, 5, 6],
|
||||
],
|
||||
series: [{ show: true }, { show: true }, { show: true }],
|
||||
delBand: jest.fn(),
|
||||
addBand: jest.fn(),
|
||||
setData: jest.fn(),
|
||||
...overrides,
|
||||
} as unknown) as uPlot;
|
||||
}
|
||||
|
||||
describe('useBarChartStacking', () => {
|
||||
it('returns data as-is when isStackedBarChart is false', () => {
|
||||
const data: uPlot.AlignedData = [
|
||||
[100, 200],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
];
|
||||
const { result } = renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: false,
|
||||
config: null,
|
||||
}),
|
||||
);
|
||||
expect(result.current).toBe(data);
|
||||
});
|
||||
|
||||
it('returns data as-is when config is null and isStackedBarChart is true', () => {
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[4, 5],
|
||||
];
|
||||
const { result } = renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: null,
|
||||
}),
|
||||
);
|
||||
// Still returns stacked data (computed in useMemo); no hooks registered
|
||||
expect(result.current[0]).toEqual([0, 1]);
|
||||
expect(result.current[1]).toEqual([5, 7]); // stacked
|
||||
expect(result.current[2]).toEqual([4, 5]);
|
||||
});
|
||||
|
||||
it('returns stacked data when isStackedBarChart is true and multiple value series', () => {
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1, 2],
|
||||
[1, 2, 3],
|
||||
[4, 5, 6],
|
||||
[7, 8, 9],
|
||||
];
|
||||
const { result } = renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: null,
|
||||
}),
|
||||
);
|
||||
expect(result.current[0]).toEqual([0, 1, 2]);
|
||||
expect(result.current[1]).toEqual([12, 15, 18]); // s1+s2+s3
|
||||
expect(result.current[2]).toEqual([11, 13, 15]); // s2+s3
|
||||
expect(result.current[3]).toEqual([7, 8, 9]);
|
||||
});
|
||||
|
||||
it('returns data as-is when only one value series (no stacking needed)', () => {
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
];
|
||||
const { result } = renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: null,
|
||||
}),
|
||||
);
|
||||
expect(result.current).toEqual(data);
|
||||
});
|
||||
|
||||
it('registers setData and setSeries hooks when isStackedBarChart and config provided', () => {
|
||||
const { config } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
];
|
||||
|
||||
renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
expect(config.addHook).toHaveBeenCalledWith('setData', expect.any(Function));
|
||||
expect(config.addHook).toHaveBeenCalledWith(
|
||||
'setSeries',
|
||||
expect.any(Function),
|
||||
);
|
||||
});
|
||||
|
||||
it('does not register hooks when isStackedBarChart is false', () => {
|
||||
const { config } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
];
|
||||
|
||||
renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: false,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
expect(config.addHook).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('calls cleanup when unmounted', () => {
|
||||
const { config, removeSetData, removeSetSeries } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
];
|
||||
|
||||
const { unmount } = renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
unmount();
|
||||
|
||||
expect(removeSetData).toHaveBeenCalled();
|
||||
expect(removeSetSeries).toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('re-stacks and updates plot when setData hook is invoked', () => {
|
||||
const { config, invokeSetData } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1, 2],
|
||||
[1, 2, 3],
|
||||
[4, 5, 6],
|
||||
];
|
||||
const plot = createMockPlot({
|
||||
data: [
|
||||
[0, 1, 2],
|
||||
[5, 7, 9],
|
||||
[4, 5, 6],
|
||||
],
|
||||
});
|
||||
|
||||
renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
invokeSetData(plot);
|
||||
|
||||
expect(plot.delBand).toHaveBeenCalledWith(null);
|
||||
expect(plot.addBand).toHaveBeenCalled();
|
||||
expect(plot.setData).toHaveBeenCalledWith(
|
||||
expect.arrayContaining([
|
||||
[0, 1, 2],
|
||||
expect.any(Array), // stacked row 1
|
||||
expect.any(Array), // stacked row 2
|
||||
]),
|
||||
);
|
||||
});
|
||||
|
||||
it('re-stacks when setSeries hook is invoked (e.g. legend toggle)', () => {
|
||||
const { config, invokeSetSeries } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[10, 20],
|
||||
[5, 10],
|
||||
];
|
||||
// Plot data must match unstacked length so canApplyStacking passes
|
||||
const plot = createMockPlot({
|
||||
data: [
|
||||
[0, 1],
|
||||
[15, 30],
|
||||
[5, 10],
|
||||
],
|
||||
});
|
||||
|
||||
renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
invokeSetSeries(plot, 1, { show: false });
|
||||
|
||||
expect(plot.setData).toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('does not re-stack when setSeries is called with focus option', () => {
|
||||
const { config, invokeSetSeries } = createMockConfig();
|
||||
const data: uPlot.AlignedData = [
|
||||
[0, 1],
|
||||
[1, 2],
|
||||
[3, 4],
|
||||
];
|
||||
const plot = createMockPlot();
|
||||
|
||||
renderHook(() =>
|
||||
useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart: true,
|
||||
config: asConfig(config),
|
||||
}),
|
||||
);
|
||||
|
||||
(plot.setData as jest.Mock).mockClear();
|
||||
invokeSetSeries(plot, 1, { focus: true } as uPlot.Series);
|
||||
|
||||
expect(plot.setData).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
@@ -1,125 +0,0 @@
|
||||
import {
|
||||
MutableRefObject,
|
||||
useCallback,
|
||||
useLayoutEffect,
|
||||
useMemo,
|
||||
useRef,
|
||||
} from 'react';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import { has } from 'lodash-es';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import { stack } from '../charts/utils/stackUtils';
|
||||
|
||||
/** Returns true if the series at the given index is hidden (e.g. via legend toggle). */
|
||||
function isSeriesHidden(plot: uPlot, seriesIndex: number): boolean {
|
||||
return !plot.series[seriesIndex]?.show;
|
||||
}
|
||||
|
||||
function canApplyStacking(
|
||||
unstacked: uPlot.AlignedData | null,
|
||||
plot: uPlot,
|
||||
isUpdating: boolean,
|
||||
): boolean {
|
||||
return (
|
||||
!isUpdating &&
|
||||
!!unstacked &&
|
||||
!!plot.data &&
|
||||
unstacked[0]?.length === plot.data[0]?.length
|
||||
);
|
||||
}
|
||||
|
||||
function setupStackingHooks(
|
||||
config: UPlotConfigBuilder,
|
||||
applyStackingToChart: (plot: uPlot) => void,
|
||||
isUpdatingRef: MutableRefObject<boolean>,
|
||||
): () => void {
|
||||
const onDataChange = (plot: uPlot): void => {
|
||||
if (!isUpdatingRef.current) {
|
||||
applyStackingToChart(plot);
|
||||
}
|
||||
};
|
||||
|
||||
const onSeriesVisibilityChange = (
|
||||
plot: uPlot,
|
||||
_seriesIdx: number | null,
|
||||
opts: uPlot.Series,
|
||||
): void => {
|
||||
if (!has(opts, 'focus')) {
|
||||
applyStackingToChart(plot);
|
||||
}
|
||||
};
|
||||
|
||||
const removeSetDataHook = config.addHook('setData', onDataChange);
|
||||
const removeSetSeriesHook = config.addHook(
|
||||
'setSeries',
|
||||
onSeriesVisibilityChange,
|
||||
);
|
||||
|
||||
return (): void => {
|
||||
removeSetDataHook?.();
|
||||
removeSetSeriesHook?.();
|
||||
};
|
||||
}
|
||||
|
||||
export interface UseBarChartStackingParams {
|
||||
data: uPlot.AlignedData;
|
||||
isStackedBarChart?: boolean;
|
||||
config: UPlotConfigBuilder | null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Handles stacking for bar charts: computes initial stacked data and re-stacks
|
||||
* when data or series visibility changes (e.g. legend toggles).
|
||||
*/
|
||||
export function useBarChartStacking({
|
||||
data,
|
||||
isStackedBarChart = false,
|
||||
config,
|
||||
}: UseBarChartStackingParams): uPlot.AlignedData {
|
||||
// Store unstacked source data so uPlot hooks can access it (hooks run outside React's render cycle)
|
||||
const unstackedDataRef = useRef<uPlot.AlignedData | null>(null);
|
||||
unstackedDataRef.current = isStackedBarChart ? data : null;
|
||||
|
||||
// Prevents re-entrant calls when we update chart data (avoids infinite loop in setData hook)
|
||||
const isUpdatingChartRef = useRef(false);
|
||||
|
||||
const chartData = useMemo((): uPlot.AlignedData => {
|
||||
if (!isStackedBarChart || !data || data.length < 2) {
|
||||
return data;
|
||||
}
|
||||
const noSeriesHidden = (): boolean => false; // include all series in initial stack
|
||||
const { data: stacked } = stack(data, noSeriesHidden);
|
||||
return stacked;
|
||||
}, [data, isStackedBarChart]);
|
||||
|
||||
const applyStackingToChart = useCallback((plot: uPlot): void => {
|
||||
const unstacked = unstackedDataRef.current;
|
||||
if (
|
||||
!unstacked ||
|
||||
!canApplyStacking(unstacked, plot, isUpdatingChartRef.current)
|
||||
) {
|
||||
return;
|
||||
}
|
||||
|
||||
const shouldExcludeSeries = (idx: number): boolean =>
|
||||
isSeriesHidden(plot, idx);
|
||||
const { data: stacked, bands } = stack(unstacked, shouldExcludeSeries);
|
||||
|
||||
plot.delBand(null);
|
||||
bands.forEach((band: uPlot.Band) => plot.addBand(band));
|
||||
|
||||
isUpdatingChartRef.current = true;
|
||||
plot.setData(stacked);
|
||||
isUpdatingChartRef.current = false;
|
||||
}, []);
|
||||
|
||||
useLayoutEffect(() => {
|
||||
if (!isStackedBarChart || !config) {
|
||||
return undefined;
|
||||
}
|
||||
return setupStackingHooks(config, applyStackingToChart, isUpdatingChartRef);
|
||||
}, [isStackedBarChart, config, applyStackingToChart]);
|
||||
|
||||
return chartData;
|
||||
}
|
||||
@@ -1,154 +0,0 @@
|
||||
import { useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { PanelWrapperProps } from 'container/PanelWrapper/panelWrapper.types';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
import ContextMenu from 'periscope/components/ContextMenu';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { useTimezone } from 'providers/Timezone';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import uPlot from 'uplot';
|
||||
import { getTimeRange } from 'utils/getTimeRange';
|
||||
|
||||
import BarChart from '../../charts/BarChart/BarChart';
|
||||
import ChartManager from '../../components/ChartManager/ChartManager';
|
||||
import { usePanelContextMenu } from '../../hooks/usePanelContextMenu';
|
||||
import { prepareBarPanelConfig, prepareBarPanelData } from './utils';
|
||||
|
||||
function BarPanel(props: PanelWrapperProps): JSX.Element {
|
||||
const {
|
||||
panelMode,
|
||||
queryResponse,
|
||||
widget,
|
||||
onDragSelect,
|
||||
isFullViewMode,
|
||||
onToggleModelHandler,
|
||||
} = props;
|
||||
const uPlotRef = useRef<uPlot | null>(null);
|
||||
const { toScrollWidgetId, setToScrollWidgetId } = useDashboard();
|
||||
const graphRef = useRef<HTMLDivElement>(null);
|
||||
const [minTimeScale, setMinTimeScale] = useState<number>();
|
||||
const [maxTimeScale, setMaxTimeScale] = useState<number>();
|
||||
const containerDimensions = useResizeObserver(graphRef);
|
||||
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
useEffect(() => {
|
||||
if (toScrollWidgetId === widget.id) {
|
||||
graphRef.current?.scrollIntoView({
|
||||
behavior: 'smooth',
|
||||
block: 'center',
|
||||
});
|
||||
graphRef.current?.focus();
|
||||
setToScrollWidgetId('');
|
||||
}
|
||||
}, [toScrollWidgetId, setToScrollWidgetId, widget.id]);
|
||||
|
||||
useEffect((): void => {
|
||||
const { startTime, endTime } = getTimeRange(queryResponse);
|
||||
|
||||
setMinTimeScale(startTime);
|
||||
setMaxTimeScale(endTime);
|
||||
}, [queryResponse]);
|
||||
|
||||
const {
|
||||
coordinates,
|
||||
popoverPosition,
|
||||
onClose,
|
||||
menuItemsConfig,
|
||||
clickHandlerWithContextMenu,
|
||||
} = usePanelContextMenu({
|
||||
widget,
|
||||
queryResponse,
|
||||
});
|
||||
|
||||
const config = useMemo(() => {
|
||||
return prepareBarPanelConfig({
|
||||
widget,
|
||||
isDarkMode,
|
||||
currentQuery: widget.query,
|
||||
onClick: clickHandlerWithContextMenu,
|
||||
onDragSelect,
|
||||
apiResponse: queryResponse?.data?.payload as MetricRangePayloadProps,
|
||||
timezone,
|
||||
panelMode,
|
||||
minTimeScale: minTimeScale,
|
||||
maxTimeScale: maxTimeScale,
|
||||
});
|
||||
}, [
|
||||
widget,
|
||||
isDarkMode,
|
||||
queryResponse?.data?.payload,
|
||||
clickHandlerWithContextMenu,
|
||||
onDragSelect,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
timezone,
|
||||
panelMode,
|
||||
]);
|
||||
|
||||
const chartData = useMemo(() => {
|
||||
if (!queryResponse?.data?.payload) {
|
||||
return [];
|
||||
}
|
||||
return prepareBarPanelData(queryResponse?.data?.payload);
|
||||
}, [queryResponse?.data?.payload]);
|
||||
|
||||
const layoutChildren = useMemo(() => {
|
||||
if (!isFullViewMode) {
|
||||
return null;
|
||||
}
|
||||
return (
|
||||
<ChartManager
|
||||
config={config}
|
||||
alignedData={chartData}
|
||||
yAxisUnit={widget.yAxisUnit}
|
||||
onCancel={onToggleModelHandler}
|
||||
/>
|
||||
);
|
||||
}, [
|
||||
isFullViewMode,
|
||||
config,
|
||||
chartData,
|
||||
widget.yAxisUnit,
|
||||
onToggleModelHandler,
|
||||
]);
|
||||
|
||||
return (
|
||||
<div style={{ height: '100%', width: '100%' }} ref={graphRef}>
|
||||
{containerDimensions.width > 0 && containerDimensions.height > 0 && (
|
||||
<BarChart
|
||||
config={config}
|
||||
legendConfig={{
|
||||
position: widget?.legendPosition ?? LegendPosition.BOTTOM,
|
||||
}}
|
||||
plotRef={(plot: uPlot | null): void => {
|
||||
uPlotRef.current = plot;
|
||||
}}
|
||||
onDestroy={(): void => {
|
||||
uPlotRef.current = null;
|
||||
}}
|
||||
yAxisUnit={widget.yAxisUnit}
|
||||
decimalPrecision={widget.decimalPrecision}
|
||||
timezone={timezone.value}
|
||||
data={chartData as uPlot.AlignedData}
|
||||
width={containerDimensions.width}
|
||||
height={containerDimensions.height}
|
||||
layoutChildren={layoutChildren}
|
||||
isStackedBarChart={widget.stackedBarChart ?? false}
|
||||
>
|
||||
<ContextMenu
|
||||
coordinates={coordinates}
|
||||
popoverPosition={popoverPosition}
|
||||
title={menuItemsConfig.header as string}
|
||||
items={menuItemsConfig.items}
|
||||
onClose={onClose}
|
||||
/>
|
||||
</BarChart>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default BarPanel;
|
||||
@@ -1,108 +0,0 @@
|
||||
import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { getInitialStackedBands } from 'container/DashboardContainer/visualization/charts/utils/stackUtils';
|
||||
import { getLegend } from 'lib/dashboard/getQueryResults';
|
||||
import getLabelName from 'lib/getLabelName';
|
||||
import { OnClickPluginOpts } from 'lib/uPlotLib/plugins/onClickPlugin';
|
||||
import {
|
||||
DrawStyle,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
VisibilityMode,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import { Widgets } from 'types/api/dashboard/getAll';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import { Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { QueryData } from 'types/api/widgets/getQuery';
|
||||
import { AlignedData } from 'uplot';
|
||||
|
||||
import { PanelMode } from '../types';
|
||||
import { fillMissingXAxisTimestamps, getXAxisTimestamps } from '../utils';
|
||||
import { buildBaseConfig } from '../utils/baseConfigBuilder';
|
||||
|
||||
export function prepareBarPanelData(
|
||||
apiResponse: MetricRangePayloadProps,
|
||||
): AlignedData {
|
||||
const seriesList = apiResponse?.data?.result || [];
|
||||
const timestampArr = getXAxisTimestamps(seriesList);
|
||||
const yAxisValuesArr = fillMissingXAxisTimestamps(timestampArr, seriesList);
|
||||
return [timestampArr, ...yAxisValuesArr];
|
||||
}
|
||||
|
||||
export function prepareBarPanelConfig({
|
||||
widget,
|
||||
isDarkMode,
|
||||
currentQuery,
|
||||
onClick,
|
||||
onDragSelect,
|
||||
apiResponse,
|
||||
timezone,
|
||||
panelMode,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
}: {
|
||||
widget: Widgets;
|
||||
isDarkMode: boolean;
|
||||
currentQuery: Query;
|
||||
onClick: OnClickPluginOpts['onClick'];
|
||||
onDragSelect: (startTime: number, endTime: number) => void;
|
||||
apiResponse: MetricRangePayloadProps;
|
||||
timezone: Timezone;
|
||||
panelMode: PanelMode;
|
||||
minTimeScale?: number;
|
||||
maxTimeScale?: number;
|
||||
}): UPlotConfigBuilder {
|
||||
const builder = buildBaseConfig({
|
||||
widget,
|
||||
isDarkMode,
|
||||
onClick,
|
||||
onDragSelect,
|
||||
apiResponse,
|
||||
timezone,
|
||||
panelMode,
|
||||
panelType: PANEL_TYPES.BAR,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
});
|
||||
|
||||
builder.setCursor({
|
||||
focus: {
|
||||
prox: 1e3,
|
||||
},
|
||||
});
|
||||
|
||||
if (widget.stackedBarChart) {
|
||||
const seriesCount = (apiResponse?.data?.result?.length ?? 0) + 1; // +1 for 1-based uPlot series indices
|
||||
builder.setBands(getInitialStackedBands(seriesCount));
|
||||
}
|
||||
|
||||
const seriesList: QueryData[] = apiResponse?.data?.result || [];
|
||||
seriesList.forEach((series) => {
|
||||
const baseLabelName = getLabelName(
|
||||
series.metric,
|
||||
series.queryName || '', // query
|
||||
series.legend || '',
|
||||
);
|
||||
|
||||
const label = currentQuery
|
||||
? getLegend(series, currentQuery, baseLabelName)
|
||||
: baseLabelName;
|
||||
|
||||
builder.addSeries({
|
||||
scaleKey: 'y',
|
||||
drawStyle: DrawStyle.Bar,
|
||||
panelType: PANEL_TYPES.BAR,
|
||||
label: label,
|
||||
colorMapping: widget.customLegendColors ?? {},
|
||||
spanGaps: false,
|
||||
lineStyle: LineStyle.Solid,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
showPoints: VisibilityMode.Never,
|
||||
pointSize: 5,
|
||||
isDarkMode,
|
||||
});
|
||||
});
|
||||
|
||||
return builder;
|
||||
}
|
||||
@@ -1,445 +0,0 @@
|
||||
import { IBuilderQuery, Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
|
||||
import {
|
||||
buildVariableReferencePattern,
|
||||
extractQueryTextStrings,
|
||||
getVariableReferencesInQuery,
|
||||
textContainsVariableReference,
|
||||
} from './variableReference';
|
||||
|
||||
describe('buildVariableReferencePattern', () => {
|
||||
const varName = 'deployment_environment';
|
||||
|
||||
it.each([
|
||||
['{{.deployment_environment}}', '{{.var}} syntax'],
|
||||
['{{ .deployment_environment }}', '{{.var}} with spaces'],
|
||||
['{{deployment_environment}}', '{{var}} syntax'],
|
||||
['{{ deployment_environment }}', '{{var}} with spaces'],
|
||||
['$deployment_environment', '$var syntax'],
|
||||
['[[deployment_environment]]', '[[var]] syntax'],
|
||||
['[[ deployment_environment ]]', '[[var]] with spaces'],
|
||||
])('matches %s (%s)', (text) => {
|
||||
expect(buildVariableReferencePattern(varName).test(text)).toBe(true);
|
||||
});
|
||||
|
||||
it('does not match partial variable names', () => {
|
||||
const pattern = buildVariableReferencePattern('env');
|
||||
// $env should match at word boundary, but $environment should not match $env
|
||||
expect(pattern.test('$environment')).toBe(false);
|
||||
});
|
||||
|
||||
it('matches $var at word boundary within larger text', () => {
|
||||
const pattern = buildVariableReferencePattern('env');
|
||||
expect(pattern.test('SELECT * WHERE x = $env')).toBe(true);
|
||||
expect(pattern.test('$env AND y = 1')).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('textContainsVariableReference', () => {
|
||||
describe('guard clauses', () => {
|
||||
it('returns false for empty text', () => {
|
||||
expect(textContainsVariableReference('', 'var')).toBe(false);
|
||||
});
|
||||
|
||||
it('returns false for empty variable name', () => {
|
||||
expect(textContainsVariableReference('some text', '')).toBe(false);
|
||||
});
|
||||
});
|
||||
|
||||
describe('all syntax formats', () => {
|
||||
const varName = 'service_name';
|
||||
|
||||
it('detects {{.var}} format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '{{.service_name}}'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects {{var}} format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '{{service_name}}'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects $var format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '$service_name'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects [[var]] format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '[[service_name]]'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('embedded in larger text', () => {
|
||||
it('finds variable in a multi-line query', () => {
|
||||
const query = `SELECT JSONExtractString(labels, 'k8s_node_name') AS k8s_node_name
|
||||
FROM signoz_metrics.distributed_time_series_v4_1day
|
||||
WHERE metric_name = 'k8s_node_cpu_time' AND JSONExtractString(labels, 'k8s_cluster_name') = {{.k8s_cluster_name}}
|
||||
GROUP BY k8s_node_name`;
|
||||
expect(textContainsVariableReference(query, 'k8s_cluster_name')).toBe(true);
|
||||
expect(textContainsVariableReference(query, 'k8s_node_name')).toBe(false); // plain text, not a variable reference
|
||||
});
|
||||
});
|
||||
|
||||
describe('no false positives', () => {
|
||||
it('does not match substring of a longer variable name', () => {
|
||||
expect(
|
||||
textContainsVariableReference('$service_name_v2', 'service_name'),
|
||||
).toBe(false);
|
||||
});
|
||||
|
||||
it('does not match plain text that happens to contain the name', () => {
|
||||
expect(
|
||||
textContainsVariableReference(
|
||||
'the service_name column is important',
|
||||
'service_name',
|
||||
),
|
||||
).toBe(false);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
// ---- Query text extraction & variable reference detection ----
|
||||
|
||||
const baseQuery: Query = {
|
||||
id: 'test-query',
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
promql: [],
|
||||
builder: { queryData: [], queryFormulas: [], queryTraceOperator: [] },
|
||||
clickhouse_sql: [],
|
||||
};
|
||||
|
||||
describe('extractQueryTextStrings', () => {
|
||||
it('returns empty array for query builder with no data', () => {
|
||||
expect(extractQueryTextStrings(baseQuery)).toEqual([]);
|
||||
});
|
||||
|
||||
it('extracts string values from query builder filter items', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [
|
||||
{ id: '1', op: '=', value: ['$service_name', 'hardcoded'] },
|
||||
{ id: '2', op: '=', value: '$env' },
|
||||
],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const texts = extractQueryTextStrings(query);
|
||||
expect(texts).toEqual(['$service_name', 'hardcoded', '$env']);
|
||||
});
|
||||
|
||||
it('extracts filter expression from query builder', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: { items: [], op: 'AND' },
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const texts = extractQueryTextStrings(query);
|
||||
expect(texts).toEqual(['env = $deployment_environment']);
|
||||
});
|
||||
|
||||
it('skips non-string filter values', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: [42, true] }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([]);
|
||||
});
|
||||
|
||||
it('extracts promql query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{ name: 'A', query: 'up{env="$env"}', legend: '', disabled: false },
|
||||
{ name: 'B', query: 'cpu{ns="$namespace"}', legend: '', disabled: false },
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'up{env="$env"}',
|
||||
'cpu{ns="$namespace"}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('extracts clickhouse sql query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'SELECT * WHERE env = {{.env}}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'SELECT * WHERE env = {{.env}}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('accumulates texts across multiple queryData entries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$env' }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '2', op: '=', value: ['$service_name'] }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual(['$env', '$service_name']);
|
||||
});
|
||||
|
||||
it('collects both filter items and filter expression from the same queryData', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$service_name' }],
|
||||
op: 'AND',
|
||||
},
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'$service_name',
|
||||
'env = $deployment_environment',
|
||||
]);
|
||||
});
|
||||
|
||||
it('skips promql entries with empty query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{ name: 'A', query: '', legend: '', disabled: false },
|
||||
{ name: 'B', query: 'up{env="$env"}', legend: '', disabled: false },
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual(['up{env="$env"}']);
|
||||
});
|
||||
|
||||
it('skips clickhouse entries with empty query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{ name: 'A', query: '', legend: '', disabled: false },
|
||||
{
|
||||
name: 'B',
|
||||
query: 'SELECT * WHERE x = {{.env}}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'SELECT * WHERE x = {{.env}}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('returns empty array for unknown query type', () => {
|
||||
const query = {
|
||||
...baseQuery,
|
||||
queryType: ('unknown' as unknown) as EQueryType,
|
||||
};
|
||||
expect(extractQueryTextStrings(query)).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getVariableReferencesInQuery', () => {
|
||||
const variableNames = [
|
||||
'deployment_environment',
|
||||
'service_name',
|
||||
'endpoint',
|
||||
'unused_var',
|
||||
];
|
||||
|
||||
it('returns empty array when query has no text', () => {
|
||||
expect(getVariableReferencesInQuery(baseQuery, variableNames)).toEqual([]);
|
||||
});
|
||||
|
||||
it('detects variables referenced in query builder filters', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [
|
||||
{ id: '1', op: '=', value: '$service_name' },
|
||||
{ id: '2', op: 'IN', value: ['$deployment_environment'] },
|
||||
],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'service_name']);
|
||||
});
|
||||
|
||||
it('detects variables in promql queries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query:
|
||||
'http_requests{env="{{.deployment_environment}}", endpoint="$endpoint"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'endpoint']);
|
||||
});
|
||||
|
||||
it('detects variables in clickhouse sql queries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'SELECT * FROM table WHERE service = [[service_name]]',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['service_name']);
|
||||
});
|
||||
|
||||
it('detects variables spread across multiple queryData entries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$service_name' }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
({
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'service_name']);
|
||||
});
|
||||
|
||||
it('returns empty array when no variables are referenced', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'up{job="api"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(getVariableReferencesInQuery(query, variableNames)).toEqual([]);
|
||||
});
|
||||
|
||||
it('returns empty array when variableNames list is empty', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'up{env="$deployment_environment"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(getVariableReferencesInQuery(query, [])).toEqual([]);
|
||||
});
|
||||
});
|
||||
@@ -1,136 +0,0 @@
|
||||
import { isArray } from 'lodash-es';
|
||||
import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
|
||||
/**
|
||||
* Builds a RegExp that matches any recognized variable reference syntax:
|
||||
* {{.variableName}} — dot prefix, optional whitespace
|
||||
* {{variableName}} — no dot, optional whitespace
|
||||
* $variableName — dollar prefix, word-boundary terminated
|
||||
* [[variableName]] — square brackets, optional whitespace
|
||||
*/
|
||||
export function buildVariableReferencePattern(variableName: string): RegExp {
|
||||
const patterns = [
|
||||
`\\{\\{\\s*?\\.${variableName}\\s*?\\}\\}`,
|
||||
`\\{\\{\\s*${variableName}\\s*\\}\\}`,
|
||||
`\\$${variableName}\\b`,
|
||||
`\\[\\[\\s*${variableName}\\s*\\]\\]`,
|
||||
];
|
||||
return new RegExp(patterns.join('|'));
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns true if `text` contains a reference to `variableName` in any of the
|
||||
* recognized variable syntaxes.
|
||||
*/
|
||||
export function textContainsVariableReference(
|
||||
text: string,
|
||||
variableName: string,
|
||||
): boolean {
|
||||
if (!text || !variableName) {
|
||||
return false;
|
||||
}
|
||||
return buildVariableReferencePattern(variableName).test(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts all text strings from a widget Query that could contain variable
|
||||
* references. Covers:
|
||||
* - QUERY_BUILDER: filter items' string values + filter.expression
|
||||
* - PROM: each promql[].query
|
||||
* - CLICKHOUSE: each clickhouse_sql[].query
|
||||
*/
|
||||
function extractQueryBuilderTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
const queryDataList = query.builder?.queryData;
|
||||
if (isArray(queryDataList)) {
|
||||
queryDataList.forEach((queryData) => {
|
||||
// Collect string values from filter items
|
||||
queryData.filters?.items?.forEach((filter: TagFilterItem) => {
|
||||
if (isArray(filter.value)) {
|
||||
filter.value.forEach((v) => {
|
||||
if (typeof v === 'string') {
|
||||
texts.push(v);
|
||||
}
|
||||
});
|
||||
} else if (typeof filter.value === 'string') {
|
||||
texts.push(filter.value);
|
||||
}
|
||||
});
|
||||
|
||||
// Collect filter expression
|
||||
if (queryData.filter?.expression) {
|
||||
texts.push(queryData.filter.expression);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
function extractPromQLTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
if (isArray(query.promql)) {
|
||||
query.promql.forEach((promqlQuery) => {
|
||||
if (promqlQuery.query) {
|
||||
texts.push(promqlQuery.query);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
function extractClickhouseSQLTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
if (isArray(query.clickhouse_sql)) {
|
||||
query.clickhouse_sql.forEach((clickhouseQuery) => {
|
||||
if (clickhouseQuery.query) {
|
||||
texts.push(clickhouseQuery.query);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts all text strings from a widget Query that could contain variable
|
||||
* references. Covers:
|
||||
* - QUERY_BUILDER: filter items' string values + filter.expression
|
||||
* - PROM: each promql[].query
|
||||
* - CLICKHOUSE: each clickhouse_sql[].query
|
||||
*/
|
||||
export function extractQueryTextStrings(query: Query): string[] {
|
||||
if (query.queryType === EQueryType.QUERY_BUILDER) {
|
||||
return extractQueryBuilderTexts(query);
|
||||
}
|
||||
|
||||
if (query.queryType === EQueryType.PROM) {
|
||||
return extractPromQLTexts(query);
|
||||
}
|
||||
|
||||
if (query.queryType === EQueryType.CLICKHOUSE) {
|
||||
return extractClickhouseSQLTexts(query);
|
||||
}
|
||||
|
||||
return [];
|
||||
}
|
||||
|
||||
/**
|
||||
* Given a widget Query and an array of variable names, returns the subset of
|
||||
* variable names that are referenced in the query text.
|
||||
*
|
||||
* This performs text-based detection only. Structural checks (like
|
||||
* filter.key.key matching a variable attribute) are NOT included.
|
||||
*/
|
||||
export function getVariableReferencesInQuery(
|
||||
query: Query,
|
||||
variableNames: string[],
|
||||
): string[] {
|
||||
const texts = extractQueryTextStrings(query);
|
||||
if (texts.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
return variableNames.filter((name) =>
|
||||
texts.some((text) => textContainsVariableReference(text, name)),
|
||||
);
|
||||
}
|
||||
@@ -1,31 +0,0 @@
|
||||
import { useMemo } from 'react';
|
||||
|
||||
import { BarTooltipProps, TooltipContentItem } from '../types';
|
||||
import Tooltip from './Tooltip';
|
||||
import { buildTooltipContent } from './utils';
|
||||
|
||||
export default function BarChartTooltip(props: BarTooltipProps): JSX.Element {
|
||||
const content = useMemo(
|
||||
(): TooltipContentItem[] =>
|
||||
buildTooltipContent({
|
||||
data: props.uPlotInstance.data,
|
||||
series: props.uPlotInstance.series,
|
||||
dataIndexes: props.dataIndexes,
|
||||
activeSeriesIndex: props.seriesIndex,
|
||||
uPlotInstance: props.uPlotInstance,
|
||||
yAxisUnit: props.yAxisUnit ?? '',
|
||||
decimalPrecision: props.decimalPrecision,
|
||||
isStackedBarChart: props.isStackedBarChart,
|
||||
}),
|
||||
[
|
||||
props.uPlotInstance,
|
||||
props.seriesIndex,
|
||||
props.dataIndexes,
|
||||
props.yAxisUnit,
|
||||
props.decimalPrecision,
|
||||
props.isStackedBarChart,
|
||||
],
|
||||
);
|
||||
|
||||
return <Tooltip {...props} content={content} />;
|
||||
}
|
||||
@@ -25,28 +25,16 @@ export function getTooltipBaseValue({
|
||||
index,
|
||||
dataIndex,
|
||||
isStackedBarChart,
|
||||
series,
|
||||
}: {
|
||||
data: AlignedData;
|
||||
index: number;
|
||||
dataIndex: number;
|
||||
isStackedBarChart?: boolean;
|
||||
series?: Series[];
|
||||
}): number | null {
|
||||
let baseValue = data[index][dataIndex] ?? null;
|
||||
// Top-down stacking (first series at top): raw = stacked[i] - stacked[nextVisible].
|
||||
// When series are hidden, we must use the next *visible* series, not index+1,
|
||||
// since hidden series keep raw values and would produce negative/wrong results.
|
||||
if (isStackedBarChart && baseValue !== null && series) {
|
||||
let nextVisibleIdx = -1;
|
||||
for (let j = index + 1; j < series.length; j++) {
|
||||
if (series[j]?.show) {
|
||||
nextVisibleIdx = j;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (nextVisibleIdx >= 1) {
|
||||
const nextValue = data[nextVisibleIdx][dataIndex] ?? 0;
|
||||
if (isStackedBarChart && index + 1 < data.length && baseValue !== null) {
|
||||
const nextValue = data[index + 1][dataIndex] ?? null;
|
||||
if (nextValue !== null) {
|
||||
baseValue = baseValue - nextValue;
|
||||
}
|
||||
}
|
||||
@@ -92,7 +80,6 @@ export function buildTooltipContent({
|
||||
index,
|
||||
dataIndex,
|
||||
isStackedBarChart,
|
||||
series,
|
||||
});
|
||||
|
||||
const isActive = index === activeSeriesIndex;
|
||||
|
||||
@@ -1,10 +1,8 @@
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { themeColors } from 'constants/theme';
|
||||
import { generateColor } from 'lib/uPlotLib/utils/generateColor';
|
||||
import uPlot, { Series } from 'uplot';
|
||||
|
||||
import {
|
||||
BarAlignment,
|
||||
ConfigBuilder,
|
||||
DrawStyle,
|
||||
LineInterpolation,
|
||||
@@ -46,10 +44,15 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
|
||||
private buildLineConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
}: {
|
||||
lineColor: string;
|
||||
lineWidth?: number;
|
||||
lineStyle?: LineStyle;
|
||||
lineCap?: Series.Cap;
|
||||
}): Partial<Series> {
|
||||
const { lineWidth, lineStyle, lineCap } = this.props;
|
||||
const lineConfig: Partial<Series> = {
|
||||
stroke: lineColor,
|
||||
width: lineWidth ?? 2,
|
||||
@@ -62,26 +65,21 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
if (lineCap) {
|
||||
lineConfig.cap = lineCap;
|
||||
}
|
||||
|
||||
if (this.props.panelType === PANEL_TYPES.BAR) {
|
||||
lineConfig.fill = lineColor;
|
||||
}
|
||||
|
||||
return lineConfig;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build path configuration
|
||||
*/
|
||||
private buildPathConfig(): Partial<Series> {
|
||||
const {
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
} = this.props;
|
||||
private buildPathConfig({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
}: {
|
||||
pathBuilder?: Series.PathBuilder | null;
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
}): Partial<Series> {
|
||||
if (pathBuilder) {
|
||||
return { paths: pathBuilder };
|
||||
}
|
||||
@@ -98,13 +96,7 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
idx0: number,
|
||||
idx1: number,
|
||||
): Series.Paths | null => {
|
||||
const pathsBuilder = getPathBuilder({
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
});
|
||||
const pathsBuilder = getPathBuilder(drawStyle, lineInterpolation);
|
||||
|
||||
return pathsBuilder(self, seriesIdx, idx0, idx1);
|
||||
},
|
||||
@@ -119,17 +111,21 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
*/
|
||||
private buildPointsConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
}: {
|
||||
lineColor: string;
|
||||
lineWidth?: number;
|
||||
pointSize?: number;
|
||||
pointsBuilder: Series.Points.Show | null;
|
||||
pointsFilter: Series.Points.Filter | null;
|
||||
drawStyle: DrawStyle;
|
||||
showPoints?: VisibilityMode;
|
||||
}): Partial<Series.Points> {
|
||||
const {
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
} = this.props;
|
||||
const pointsConfig: Partial<Series.Points> = {
|
||||
stroke: lineColor,
|
||||
fill: lineColor,
|
||||
@@ -166,16 +162,44 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
}
|
||||
|
||||
getConfig(): Series {
|
||||
const { scaleKey, label, spanGaps, show = true } = this.props;
|
||||
const {
|
||||
drawStyle,
|
||||
pathBuilder,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
lineInterpolation,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
showPoints,
|
||||
pointSize,
|
||||
scaleKey,
|
||||
label,
|
||||
spanGaps,
|
||||
show = true,
|
||||
} = this.props;
|
||||
|
||||
const lineColor = this.getLineColor();
|
||||
|
||||
const lineConfig = this.buildLineConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig();
|
||||
const pointsConfig = this.buildPointsConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder: pointsBuilder ?? null,
|
||||
pointsFilter: pointsFilter ?? null,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
});
|
||||
|
||||
return {
|
||||
@@ -203,37 +227,15 @@ interface PathBuilders {
|
||||
/**
|
||||
* Get path builder based on draw style and interpolation
|
||||
*/
|
||||
function getPathBuilder({
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment = BarAlignment.Center,
|
||||
barWidthFactor = 0.6,
|
||||
barMaxWidth = 200,
|
||||
}: {
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
barAlignment?: BarAlignment;
|
||||
barMaxWidth?: number;
|
||||
barWidthFactor?: number;
|
||||
}): Series.PathBuilder {
|
||||
const pathBuilders = uPlot.paths;
|
||||
|
||||
function getPathBuilder(
|
||||
style: DrawStyle,
|
||||
lineInterpolation?: LineInterpolation,
|
||||
): Series.PathBuilder {
|
||||
if (!builders) {
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
|
||||
if (drawStyle === DrawStyle.Bar) {
|
||||
const barsCfgKey = `bars|${barAlignment}|${barWidthFactor}|${barMaxWidth}`;
|
||||
if (!builders[barsCfgKey] && pathBuilders.bars) {
|
||||
builders[barsCfgKey] = pathBuilders.bars({
|
||||
size: [barWidthFactor, barMaxWidth],
|
||||
align: barAlignment,
|
||||
});
|
||||
}
|
||||
return builders[barsCfgKey];
|
||||
}
|
||||
|
||||
if (drawStyle === DrawStyle.Line) {
|
||||
if (style === DrawStyle.Line) {
|
||||
if (lineInterpolation === LineInterpolation.StepBefore) {
|
||||
return builders.stepBefore;
|
||||
}
|
||||
|
||||
@@ -126,45 +126,7 @@ export enum VisibilityMode {
|
||||
Never = 'never',
|
||||
}
|
||||
|
||||
/**
|
||||
* Props for configuring lines
|
||||
*/
|
||||
export interface LineConfig {
|
||||
lineColor?: string;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
lineStyle?: LineStyle;
|
||||
lineWidth?: number;
|
||||
lineCap?: Series.Cap;
|
||||
}
|
||||
|
||||
/**
|
||||
* Alignment of bars
|
||||
*/
|
||||
export enum BarAlignment {
|
||||
After = 1,
|
||||
Before = -1,
|
||||
Center = 0,
|
||||
}
|
||||
|
||||
/**
|
||||
* Props for configuring bars
|
||||
*/
|
||||
export interface BarConfig {
|
||||
barAlignment?: BarAlignment;
|
||||
barMaxWidth?: number;
|
||||
barWidthFactor?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Props for configuring points
|
||||
*/
|
||||
export interface PointsConfig {
|
||||
pointColor?: string;
|
||||
pointSize?: number;
|
||||
showPoints?: VisibilityMode;
|
||||
}
|
||||
|
||||
export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
export interface SeriesProps {
|
||||
scaleKey: string;
|
||||
label?: string;
|
||||
panelType: PANEL_TYPES;
|
||||
@@ -175,7 +137,20 @@ export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
pointsBuilder?: Series.Points.Show;
|
||||
show?: boolean;
|
||||
spanGaps?: boolean;
|
||||
|
||||
isDarkMode?: boolean;
|
||||
|
||||
// Line config
|
||||
lineColor?: string;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
lineStyle?: LineStyle;
|
||||
lineWidth?: number;
|
||||
lineCap?: Series.Cap;
|
||||
|
||||
// Points config
|
||||
pointColor?: string;
|
||||
pointSize?: number;
|
||||
showPoints?: VisibilityMode;
|
||||
}
|
||||
|
||||
export interface LegendItem {
|
||||
|
||||
@@ -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