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fix/bar-ch
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SIG_8931
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8b5a881641 |
6
.github/CODEOWNERS
vendored
6
.github/CODEOWNERS
vendored
@@ -43,12 +43,6 @@
|
||||
/pkg/analytics/ @vikrantgupta25
|
||||
/pkg/statsreporter/ @vikrantgupta25
|
||||
|
||||
# Emailing Owners
|
||||
|
||||
/pkg/emailing/ @vikrantgupta25
|
||||
/pkg/types/emailtypes/ @vikrantgupta25
|
||||
/templates/email/ @vikrantgupta25
|
||||
|
||||
# Querier Owners
|
||||
|
||||
/pkg/querier/ @srikanthccv
|
||||
|
||||
3
.vscode/settings.json
vendored
3
.vscode/settings.json
vendored
@@ -14,8 +14,5 @@
|
||||
},
|
||||
"[sql]": {
|
||||
"editor.defaultFormatter": "adpyke.vscode-sql-formatter"
|
||||
},
|
||||
"[html]": {
|
||||
"editor.defaultFormatter": "vscode.html-language-features"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -193,15 +193,6 @@ emailing:
|
||||
templates:
|
||||
# The directory containing the email templates. This directory should contain a list of files defined at pkg/types/emailtypes/template.go.
|
||||
directory: /opt/signoz/conf/templates/email
|
||||
format:
|
||||
header:
|
||||
enabled: false
|
||||
logo_url: ""
|
||||
help:
|
||||
enabled: false
|
||||
email: ""
|
||||
footer:
|
||||
enabled: false
|
||||
smtp:
|
||||
# The SMTP server address.
|
||||
address: localhost:25
|
||||
|
||||
@@ -15,6 +15,8 @@ export const getKeySuggestions = (
|
||||
fieldContext = '',
|
||||
fieldDataType = '',
|
||||
signalSource = '',
|
||||
startUnixMilli = '',
|
||||
endUnixMilli = '',
|
||||
} = props;
|
||||
|
||||
const encodedSignal = encodeURIComponent(signal);
|
||||
@@ -24,7 +26,14 @@ export const getKeySuggestions = (
|
||||
const encodedFieldDataType = encodeURIComponent(fieldDataType);
|
||||
const encodedSource = encodeURIComponent(signalSource);
|
||||
|
||||
return axios.get(
|
||||
`/fields/keys?signal=${encodedSignal}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&fieldContext=${encodedFieldContext}&fieldDataType=${encodedFieldDataType}&source=${encodedSource}`,
|
||||
);
|
||||
let url = `/fields/keys?signal=${encodedSignal}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&fieldContext=${encodedFieldContext}&fieldDataType=${encodedFieldDataType}&source=${encodedSource}`;
|
||||
|
||||
if (startUnixMilli !== undefined) {
|
||||
url += `&startUnixMilli=${startUnixMilli}`;
|
||||
}
|
||||
if (endUnixMilli !== undefined) {
|
||||
url += `&endUnixMilli=${endUnixMilli}`;
|
||||
}
|
||||
|
||||
return axios.get(url);
|
||||
};
|
||||
|
||||
@@ -8,7 +8,16 @@ import {
|
||||
export const getValueSuggestions = (
|
||||
props: QueryKeyValueRequestProps,
|
||||
): Promise<AxiosResponse<QueryKeyValueSuggestionsResponseProps>> => {
|
||||
const { signal, key, searchText, signalSource, metricName } = props;
|
||||
const {
|
||||
signal,
|
||||
key,
|
||||
searchText,
|
||||
signalSource,
|
||||
metricName,
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
} = props;
|
||||
|
||||
const encodedSignal = encodeURIComponent(signal);
|
||||
const encodedKey = encodeURIComponent(key);
|
||||
@@ -16,7 +25,17 @@ export const getValueSuggestions = (
|
||||
const encodedSearchText = encodeURIComponent(searchText);
|
||||
const encodedSource = encodeURIComponent(signalSource || '');
|
||||
|
||||
return axios.get(
|
||||
`/fields/values?signal=${encodedSignal}&name=${encodedKey}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&source=${encodedSource}`,
|
||||
);
|
||||
let url = `/fields/values?signal=${encodedSignal}&name=${encodedKey}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&source=${encodedSource}`;
|
||||
|
||||
if (startUnixMilli !== undefined) {
|
||||
url += `&startUnixMilli=${startUnixMilli}`;
|
||||
}
|
||||
if (endUnixMilli !== undefined) {
|
||||
url += `&endUnixMilli=${endUnixMilli}`;
|
||||
}
|
||||
if (existingQuery) {
|
||||
url += `&existingQuery=${encodeURIComponent(existingQuery)}`;
|
||||
}
|
||||
|
||||
return axios.get(url);
|
||||
};
|
||||
|
||||
@@ -73,7 +73,7 @@ describe('convertV5ResponseToLegacy', () => {
|
||||
const v5Data: QueryRangeResponseV5 = {
|
||||
type: 'time_series',
|
||||
data: { results: [timeSeries] },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0, stepIntervals: {} },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0 },
|
||||
};
|
||||
|
||||
const params = makeBaseParams('time_series', [
|
||||
@@ -156,7 +156,7 @@ describe('convertV5ResponseToLegacy', () => {
|
||||
const v5Data: QueryRangeResponseV5 = {
|
||||
type: 'scalar',
|
||||
data: { results: [scalar] },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0, stepIntervals: {} },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0 },
|
||||
};
|
||||
|
||||
const params = makeBaseParams('scalar', [
|
||||
@@ -239,7 +239,7 @@ describe('convertV5ResponseToLegacy', () => {
|
||||
const v5Data: QueryRangeResponseV5 = {
|
||||
type: 'scalar',
|
||||
data: { results: [scalar] },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0, stepIntervals: {} },
|
||||
meta: { rowsScanned: 0, bytesScanned: 0, durationMs: 0 },
|
||||
};
|
||||
|
||||
const params = makeBaseParams('scalar', [
|
||||
|
||||
@@ -388,7 +388,6 @@ export function convertV5ResponseToLegacy(
|
||||
warnings: v5Data?.data?.warning || [],
|
||||
},
|
||||
warning: v5Data?.warning || undefined,
|
||||
meta: v5Data?.meta,
|
||||
},
|
||||
warning: v5Data?.warning || undefined,
|
||||
};
|
||||
@@ -407,7 +406,6 @@ export function convertV5ResponseToLegacy(
|
||||
payload: {
|
||||
data: convertedData,
|
||||
warning: v5Response.payload?.data?.warning || undefined,
|
||||
meta: v5Data?.meta,
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -1,9 +1,12 @@
|
||||
import { useEffect, useRef, useState } from 'react';
|
||||
import { useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { useQuery } from 'react-query';
|
||||
import { useSelector } from 'react-redux';
|
||||
import { Select, Spin } from 'antd';
|
||||
import { getKeySuggestions } from 'api/querySuggestions/getKeySuggestions';
|
||||
import { AppState } from 'store/reducers';
|
||||
import { QueryKeyDataSuggestionsProps } from 'types/api/querySuggestions/types';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
import { GlobalReducer } from 'types/reducer/globalTime';
|
||||
|
||||
import './ListViewOrderBy.styles.scss';
|
||||
|
||||
@@ -34,13 +37,35 @@ function ListViewOrderBy({
|
||||
>([]);
|
||||
const debounceTimer = useRef<ReturnType<typeof setTimeout> | null>(null);
|
||||
|
||||
// Get time range from Redux global state
|
||||
const globalTime = useSelector<AppState, GlobalReducer>(
|
||||
(state) => state.globalTime,
|
||||
);
|
||||
|
||||
// Convert nanoseconds to milliseconds - use useMemo with both deps to avoid multiple updates
|
||||
const timeRange = useMemo(
|
||||
() => ({
|
||||
startUnixMilli: Math.floor(globalTime.minTime / 1000000),
|
||||
endUnixMilli: Math.floor(globalTime.maxTime / 1000000),
|
||||
}),
|
||||
[globalTime.minTime, globalTime.maxTime],
|
||||
);
|
||||
|
||||
// Fetch key suggestions based on debounced input
|
||||
const { data, isLoading } = useQuery({
|
||||
queryKey: ['orderByKeySuggestions', dataSource, debouncedInput],
|
||||
queryKey: [
|
||||
'orderByKeySuggestions',
|
||||
dataSource,
|
||||
debouncedInput,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
],
|
||||
queryFn: async () => {
|
||||
const response = await getKeySuggestions({
|
||||
signal: dataSource,
|
||||
searchText: debouncedInput,
|
||||
startUnixMilli: timeRange.startUnixMilli,
|
||||
endUnixMilli: timeRange.endUnixMilli,
|
||||
});
|
||||
return response.data;
|
||||
},
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
/* eslint-disable sonarjs/no-identical-functions */
|
||||
/* eslint-disable sonarjs/cognitive-complexity */
|
||||
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { useSelector } from 'react-redux';
|
||||
import { CheckCircleFilled } from '@ant-design/icons';
|
||||
import {
|
||||
autocompletion,
|
||||
@@ -33,6 +34,8 @@ import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import useDebounce from 'hooks/useDebounce';
|
||||
import { debounce, isNull } from 'lodash-es';
|
||||
import { Info, TriangleAlert } from 'lucide-react';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { AppState } from 'store/reducers';
|
||||
import {
|
||||
IDetailedError,
|
||||
IQueryContext,
|
||||
@@ -41,6 +44,7 @@ import {
|
||||
import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { QueryKeyDataSuggestionsProps } from 'types/api/querySuggestions/types';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
import { GlobalReducer } from 'types/reducer/globalTime';
|
||||
import {
|
||||
getCurrentValueIndexAtCursor,
|
||||
getQueryContextAtCursor,
|
||||
@@ -112,6 +116,20 @@ function QuerySearch({
|
||||
const [isFocused, setIsFocused] = useState(false);
|
||||
const editorRef = useRef<EditorView | null>(null);
|
||||
|
||||
// Get time range from Redux global state
|
||||
const globalTime = useSelector<AppState, GlobalReducer>(
|
||||
(state) => state.globalTime,
|
||||
);
|
||||
|
||||
// Convert nanoseconds to milliseconds - use useMemo with both deps to avoid multiple updates
|
||||
const timeRange = useMemo(
|
||||
() => ({
|
||||
startUnixMilli: Math.floor(globalTime.minTime / 1000000),
|
||||
endUnixMilli: Math.floor(globalTime.maxTime / 1000000),
|
||||
}),
|
||||
[globalTime.minTime, globalTime.maxTime],
|
||||
);
|
||||
|
||||
const handleQueryValidation = useCallback((newExpression: string): void => {
|
||||
try {
|
||||
const validationResponse = validateQuery(newExpression);
|
||||
@@ -270,8 +288,9 @@ function QuerySearch({
|
||||
searchText: searchText || '',
|
||||
metricName: debouncedMetricName ?? undefined,
|
||||
signalSource: signalSource as 'meter' | '',
|
||||
startUnixMilli: timeRange.startUnixMilli,
|
||||
endUnixMilli: timeRange.endUnixMilli,
|
||||
});
|
||||
|
||||
if (response.data.data) {
|
||||
const { keys } = response.data.data;
|
||||
const options = generateOptions(keys);
|
||||
@@ -301,6 +320,8 @@ function QuerySearch({
|
||||
queryData.aggregateAttribute?.key,
|
||||
signalSource,
|
||||
hardcodedAttributeKeys,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
],
|
||||
);
|
||||
|
||||
@@ -313,7 +334,12 @@ function QuerySearch({
|
||||
setKeySuggestions([]);
|
||||
debouncedFetchKeySuggestions();
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [dataSource, debouncedMetricName]);
|
||||
}, [
|
||||
dataSource,
|
||||
debouncedMetricName,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
]);
|
||||
|
||||
// Add a state for tracking editing mode
|
||||
const [editingMode, setEditingMode] = useState<
|
||||
@@ -431,6 +457,7 @@ function QuerySearch({
|
||||
}
|
||||
|
||||
const sanitizedSearchText = searchText ? searchText?.trim() : '';
|
||||
const existingQuery = queryData.filter?.expression || '';
|
||||
|
||||
try {
|
||||
const response = await getValueSuggestions({
|
||||
@@ -439,9 +466,10 @@ function QuerySearch({
|
||||
signal: dataSource,
|
||||
signalSource: signalSource as 'meter' | '',
|
||||
metricName: debouncedMetricName ?? undefined,
|
||||
});
|
||||
|
||||
// Skip updates if component unmounted or key changed
|
||||
startUnixMilli: timeRange.startUnixMilli,
|
||||
endUnixMilli: timeRange.endUnixMilli,
|
||||
existingQuery,
|
||||
}); // Skip updates if component unmounted or key changed
|
||||
if (
|
||||
!isMountedRef.current ||
|
||||
lastKeyRef.current !== key ||
|
||||
@@ -453,10 +481,10 @@ function QuerySearch({
|
||||
// Process the response data
|
||||
const responseData = response.data as any;
|
||||
const values = responseData.data?.values || {};
|
||||
const stringValues = values.stringValues || [];
|
||||
const numberValues = values.numberValues || [];
|
||||
|
||||
// Generate options from string values - explicitly handle empty strings
|
||||
const relatedValues = values.relatedValues || [];
|
||||
const stringValues =
|
||||
relatedValues.length > 0 ? relatedValues : values.stringValues || [];
|
||||
const numberValues = values.numberValues || []; // Generate options from string values - explicitly handle empty strings
|
||||
const stringOptions = stringValues
|
||||
// Strict filtering for empty string - we'll handle it as a special case if needed
|
||||
.filter(
|
||||
@@ -528,11 +556,14 @@ function QuerySearch({
|
||||
},
|
||||
[
|
||||
activeKey,
|
||||
dataSource,
|
||||
isLoadingSuggestions,
|
||||
debouncedMetricName,
|
||||
signalSource,
|
||||
queryData.filter?.expression,
|
||||
toggleSuggestions,
|
||||
dataSource,
|
||||
signalSource,
|
||||
debouncedMetricName,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
],
|
||||
);
|
||||
|
||||
@@ -1249,19 +1280,17 @@ function QuerySearch({
|
||||
if (!queryContext) {
|
||||
return;
|
||||
}
|
||||
// Trigger suggestions based on context
|
||||
if (editorRef.current) {
|
||||
// Only trigger suggestions and fetch if editor is focused (i.e., user is interacting)
|
||||
if (isFocused && editorRef.current) {
|
||||
toggleSuggestions(10);
|
||||
}
|
||||
|
||||
// Handle value suggestions for value context
|
||||
if (queryContext.isInValue) {
|
||||
const { keyToken, currentToken } = queryContext;
|
||||
const key = keyToken || currentToken;
|
||||
|
||||
// Only fetch if needed and if we have a valid key
|
||||
if (key && key !== activeKey && !isLoadingSuggestions) {
|
||||
fetchValueSuggestions({ key });
|
||||
// Handle value suggestions for value context
|
||||
if (queryContext.isInValue) {
|
||||
const { keyToken, currentToken } = queryContext;
|
||||
const key = keyToken || currentToken;
|
||||
// Only fetch if needed and if we have a valid key
|
||||
if (key && key !== activeKey && !isLoadingSuggestions) {
|
||||
fetchValueSuggestions({ key });
|
||||
}
|
||||
}
|
||||
}
|
||||
}, [
|
||||
@@ -1270,6 +1299,7 @@ function QuerySearch({
|
||||
isLoadingSuggestions,
|
||||
activeKey,
|
||||
fetchValueSuggestions,
|
||||
isFocused,
|
||||
]);
|
||||
|
||||
const getTooltipContent = (): JSX.Element => (
|
||||
|
||||
@@ -138,6 +138,93 @@
|
||||
cursor: pointer;
|
||||
}
|
||||
}
|
||||
|
||||
.search-prompt {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 8px;
|
||||
padding: 10px 12px;
|
||||
margin-top: 4px;
|
||||
border: 1px dashed var(--bg-amber-500);
|
||||
border-radius: 10px;
|
||||
color: var(--bg-amber-200);
|
||||
background: linear-gradient(
|
||||
90deg,
|
||||
var(--bg-ink-500) 0%,
|
||||
var(--bg-ink-400) 100%
|
||||
);
|
||||
cursor: pointer;
|
||||
transition: all 0.16s ease, transform 0.12s ease;
|
||||
text-align: left;
|
||||
box-shadow: 0 2px 12px rgba(0, 0, 0, 0.35);
|
||||
|
||||
&:hover {
|
||||
background: linear-gradient(
|
||||
90deg,
|
||||
var(--bg-ink-400) 0%,
|
||||
var(--bg-ink-300) 100%
|
||||
);
|
||||
box-shadow: 0 4px 18px rgba(0, 0, 0, 0.45);
|
||||
}
|
||||
|
||||
&:active {
|
||||
transform: translateY(1px);
|
||||
}
|
||||
|
||||
&__icon {
|
||||
color: var(--bg-amber-400);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
&__text {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 2px;
|
||||
}
|
||||
|
||||
&__title {
|
||||
color: var(--bg-amber-200);
|
||||
}
|
||||
|
||||
&__subtitle {
|
||||
color: var(--bg-amber-300);
|
||||
font-size: 12px;
|
||||
}
|
||||
}
|
||||
.lightMode & {
|
||||
.search-prompt {
|
||||
border: 1px dashed var(--bg-amber-500);
|
||||
color: var(--bg-amber-800);
|
||||
background: linear-gradient(
|
||||
90deg,
|
||||
var(--bg-vanilla-200) 0%,
|
||||
var(--bg-vanilla-100) 100%
|
||||
);
|
||||
box-shadow: 0 2px 12px rgba(184, 107, 0, 0.08);
|
||||
|
||||
&:hover {
|
||||
background: linear-gradient(
|
||||
90deg,
|
||||
var(--bg-vanilla-100) 0%,
|
||||
var(--bg-vanilla-50) 100%
|
||||
);
|
||||
box-shadow: 0 4px 16px rgba(184, 107, 0, 0.15);
|
||||
}
|
||||
|
||||
&__icon {
|
||||
color: var(--bg-amber-600);
|
||||
}
|
||||
|
||||
&__title {
|
||||
color: var(--bg-amber-800);
|
||||
}
|
||||
|
||||
&__subtitle {
|
||||
color: var(--bg-amber-800);
|
||||
}
|
||||
}
|
||||
}
|
||||
.go-to-docs {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
|
||||
@@ -2,8 +2,16 @@
|
||||
/* eslint-disable sonarjs/no-identical-functions */
|
||||
/* eslint-disable jsx-a11y/no-static-element-interactions */
|
||||
/* eslint-disable jsx-a11y/click-events-have-key-events */
|
||||
import { Fragment, useMemo, useState } from 'react';
|
||||
import { Button, Checkbox, Input, Skeleton, Typography } from 'antd';
|
||||
import {
|
||||
Fragment,
|
||||
useCallback,
|
||||
useEffect,
|
||||
useMemo,
|
||||
useRef,
|
||||
useState,
|
||||
} from 'react';
|
||||
import { useSelector } from 'react-redux';
|
||||
import { Button, Checkbox, Input, InputRef, Skeleton, Typography } from 'antd';
|
||||
import cx from 'classnames';
|
||||
import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
|
||||
import {
|
||||
@@ -11,21 +19,18 @@ import {
|
||||
QuickFiltersSource,
|
||||
} from 'components/QuickFilters/types';
|
||||
import { OPERATORS } from 'constants/antlrQueryConstants';
|
||||
import {
|
||||
DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY,
|
||||
PANEL_TYPES,
|
||||
} from 'constants/queryBuilder';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { DEBOUNCE_DELAY } from 'constants/queryBuilderFilterConfig';
|
||||
import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
|
||||
import { useGetAggregateValues } from 'hooks/queryBuilder/useGetAggregateValues';
|
||||
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
|
||||
import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
|
||||
import useDebouncedFn from 'hooks/useDebouncedFunction';
|
||||
import { cloneDeep, isArray, isEqual, isFunction } from 'lodash-es';
|
||||
import { ChevronDown, ChevronRight } from 'lucide-react';
|
||||
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
|
||||
import { AlertTriangle, ChevronDown, ChevronRight } from 'lucide-react';
|
||||
import { AppState } from 'store/reducers';
|
||||
import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
import { GlobalReducer } from 'types/reducer/globalTime';
|
||||
import { v4 as uuid } from 'uuid';
|
||||
|
||||
import LogsQuickFilterEmptyState from './LogsQuickFilterEmptyState';
|
||||
@@ -68,6 +73,15 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
panelType,
|
||||
} = useQueryBuilder();
|
||||
|
||||
// Get time range from Redux global state
|
||||
const { maxTime, minTime } = useSelector<AppState, GlobalReducer>(
|
||||
(state) => state.globalTime,
|
||||
);
|
||||
|
||||
// Convert nanoseconds to milliseconds
|
||||
const startUnixMilli = useMemo(() => Math.floor(minTime / 1000000), [minTime]);
|
||||
const endUnixMilli = useMemo(() => Math.floor(maxTime / 1000000), [maxTime]);
|
||||
|
||||
// Determine if we're in ListView mode
|
||||
const isListView = panelType === PANEL_TYPES.LIST;
|
||||
// In ListView mode, use index 0 for most sources; for TRACES_EXPLORER, use lastUsedQuery
|
||||
@@ -81,6 +95,12 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
return lastUsedQuery || 0;
|
||||
}, [isListView, source, lastUsedQuery]);
|
||||
|
||||
// Extract current filter expression for the active query
|
||||
const currentFilterExpression = useMemo(() => {
|
||||
const queryData = currentQuery.builder.queryData?.[activeQueryIndex];
|
||||
return queryData?.filter?.expression || '';
|
||||
}, [currentQuery.builder.queryData, activeQueryIndex]);
|
||||
|
||||
// Check if this filter has active filters in the query
|
||||
const isSomeFilterPresentForCurrentAttribute = useMemo(
|
||||
() =>
|
||||
@@ -112,47 +132,120 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
filter.defaultOpen,
|
||||
]);
|
||||
|
||||
const { data, isLoading } = useGetAggregateValues(
|
||||
{
|
||||
aggregateOperator: filter.aggregateOperator || 'noop',
|
||||
dataSource: filter.dataSource || DataSource.LOGS,
|
||||
aggregateAttribute: filter.aggregateAttribute || '',
|
||||
attributeKey: filter.attributeKey.key,
|
||||
filterAttributeKeyDataType: filter.attributeKey.dataType || DataTypes.EMPTY,
|
||||
tagType: filter.attributeKey.type || '',
|
||||
searchText: searchText ?? '',
|
||||
},
|
||||
{
|
||||
enabled: isOpen && source !== QuickFiltersSource.METER_EXPLORER,
|
||||
keepPreviousData: true,
|
||||
},
|
||||
);
|
||||
|
||||
const {
|
||||
data: keyValueSuggestions,
|
||||
isLoading: isLoadingKeyValueSuggestions,
|
||||
refetch: refetchKeyValueSuggestions,
|
||||
} = useGetQueryKeyValueSuggestions({
|
||||
key: filter.attributeKey.key,
|
||||
signal: filter.dataSource || DataSource.LOGS,
|
||||
signalSource: 'meter',
|
||||
signalSource: source === QuickFiltersSource.METER_EXPLORER ? 'meter' : '',
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
searchText: searchText || '',
|
||||
existingQuery: currentFilterExpression,
|
||||
options: {
|
||||
enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
|
||||
enabled: isOpen,
|
||||
keepPreviousData: true,
|
||||
},
|
||||
});
|
||||
|
||||
const attributeValues: string[] = useMemo(() => {
|
||||
const dataType = filter.attributeKey.dataType || DataTypes.String;
|
||||
const searchInputRef = useRef<InputRef | null>(null);
|
||||
const searchContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const previousFiltersItemsRef = useRef(
|
||||
currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items,
|
||||
);
|
||||
|
||||
if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
|
||||
// Process the response data
|
||||
// Refetch when other filters change (not this filter)
|
||||
// Watch for when filters.items is different from previous value, indicating other filters changed
|
||||
useEffect(() => {
|
||||
const currentFiltersItems =
|
||||
currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items;
|
||||
|
||||
const previousFiltersItems = previousFiltersItemsRef.current;
|
||||
|
||||
// Check if filters items have changed (not the same)
|
||||
const filtersChanged = !isEqual(previousFiltersItems, currentFiltersItems);
|
||||
|
||||
if (isOpen && filtersChanged) {
|
||||
// Check if OTHER filters (not this filter) have changed
|
||||
const currentOtherFilters = currentFiltersItems?.filter(
|
||||
(item) => !isEqual(item.key?.key, filter.attributeKey.key),
|
||||
);
|
||||
const previousOtherFilters = previousFiltersItems?.filter(
|
||||
(item) => !isEqual(item.key?.key, filter.attributeKey.key),
|
||||
);
|
||||
|
||||
// Refetch if other filters changed (not just this filter's values)
|
||||
const otherFiltersChanged = !isEqual(
|
||||
currentOtherFilters,
|
||||
previousOtherFilters,
|
||||
);
|
||||
|
||||
// Only update ref if we have valid API data or if filters actually changed
|
||||
// Don't update if search returned 0 results to preserve unchecked values
|
||||
const hasValidData = keyValueSuggestions && !isLoadingKeyValueSuggestions;
|
||||
if (otherFiltersChanged || hasValidData) {
|
||||
previousFiltersItemsRef.current = currentFiltersItems;
|
||||
}
|
||||
|
||||
if (otherFiltersChanged) {
|
||||
refetchKeyValueSuggestions();
|
||||
}
|
||||
} else {
|
||||
previousFiltersItemsRef.current = currentFiltersItems;
|
||||
}
|
||||
}, [
|
||||
activeQueryIndex,
|
||||
isOpen,
|
||||
refetchKeyValueSuggestions,
|
||||
filter.attributeKey.key,
|
||||
currentQuery.builder.queryData,
|
||||
keyValueSuggestions,
|
||||
isLoadingKeyValueSuggestions,
|
||||
]);
|
||||
|
||||
const handleSearchPromptClick = useCallback((): void => {
|
||||
if (searchContainerRef.current) {
|
||||
searchContainerRef.current.scrollIntoView({
|
||||
behavior: 'smooth',
|
||||
block: 'center',
|
||||
});
|
||||
}
|
||||
if (searchInputRef.current) {
|
||||
setTimeout(() => searchInputRef.current?.focus({ cursor: 'end' }), 120);
|
||||
}
|
||||
}, []);
|
||||
|
||||
const isDataComplete = useMemo(() => {
|
||||
if (keyValueSuggestions) {
|
||||
// eslint-disable-next-line @typescript-eslint/no-explicit-any
|
||||
const responseData = keyValueSuggestions?.data as any;
|
||||
return responseData.data?.complete || false;
|
||||
}
|
||||
return false;
|
||||
}, [keyValueSuggestions]);
|
||||
|
||||
const previousAttributeValuesRef = useRef<string[]>([]);
|
||||
|
||||
const attributeValues: string[] = useMemo(() => {
|
||||
// const dataType = filter.attributeKey.dataType || DataTypes.String;
|
||||
|
||||
if (keyValueSuggestions) {
|
||||
// Process the response data for all pages
|
||||
// eslint-disable-next-line @typescript-eslint/no-explicit-any
|
||||
const responseData = keyValueSuggestions?.data as any;
|
||||
const values = responseData.data?.values || {};
|
||||
const relatedValues = values.relatedValues || [];
|
||||
const stringValues = values.stringValues || [];
|
||||
const numberValues = values.numberValues || [];
|
||||
|
||||
// Use relatedValues if present (these are the checked/selected values)
|
||||
// Otherwise fallback to stringValues
|
||||
const valuesToUse = relatedValues.length > 0 ? relatedValues : stringValues;
|
||||
|
||||
// Generate options from string values - explicitly handle empty strings
|
||||
const stringOptions = stringValues
|
||||
const stringOptions = valuesToUse
|
||||
// Strict filtering for empty string - we'll handle it as a special case if needed
|
||||
.filter(
|
||||
(value: string | null | undefined): value is string =>
|
||||
@@ -167,15 +260,26 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
)
|
||||
.map((value: number) => value.toString());
|
||||
|
||||
// Combine all options and make sure we don't have duplicate labels
|
||||
return [...stringOptions, ...numberOptions];
|
||||
}
|
||||
// Combine checked values with previously visible unchecked values
|
||||
let finalValues = [...stringOptions, ...numberOptions];
|
||||
|
||||
const key = DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY[dataType];
|
||||
return (data?.payload?.[key] || []).filter(
|
||||
(val) => val !== undefined && val !== null,
|
||||
);
|
||||
}, [data?.payload, filter.attributeKey.dataType, keyValueSuggestions, source]);
|
||||
// When we have search results (relatedValues or stringValues), preserve previously visible unchecked values
|
||||
// Only update ref if we have actual valid data (not empty search results)
|
||||
if (finalValues.length > 0) {
|
||||
const previousValues = previousAttributeValuesRef.current || [];
|
||||
// Keep values that were previously visible but not in new results
|
||||
const preservedValues = previousValues.filter(
|
||||
(val) => !finalValues.includes(val),
|
||||
);
|
||||
finalValues = Array.from(new Set([...finalValues, ...preservedValues]));
|
||||
// Store current values for next refetch only if we have valid data
|
||||
previousAttributeValuesRef.current = finalValues;
|
||||
}
|
||||
|
||||
return finalValues;
|
||||
}
|
||||
return [];
|
||||
}, [keyValueSuggestions]);
|
||||
|
||||
const setSearchTextDebounced = useDebouncedFn((...args) => {
|
||||
setSearchText(args[0] as string);
|
||||
@@ -249,22 +353,26 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
const isMultipleValuesTrueForTheKey =
|
||||
Object.values(currentFilterState).filter((val) => val).length > 1;
|
||||
|
||||
// Sort checked items to the top, then unchecked items
|
||||
const currentAttributeKeys = useMemo(() => {
|
||||
// Sort checked items to the top; always show unchecked items beneath, regardless of pagination
|
||||
const {
|
||||
visibleCheckedValues,
|
||||
uncheckedValues,
|
||||
visibleCheckedCount,
|
||||
hasMoreChecked,
|
||||
} = useMemo(() => {
|
||||
const checkedValues = attributeValues.filter(
|
||||
(val) => currentFilterState[val],
|
||||
);
|
||||
const uncheckedValues = attributeValues.filter(
|
||||
(val) => !currentFilterState[val],
|
||||
);
|
||||
return [...checkedValues, ...uncheckedValues].slice(0, visibleItemsCount);
|
||||
}, [attributeValues, currentFilterState, visibleItemsCount]);
|
||||
const unchecked = attributeValues.filter((val) => !currentFilterState[val]);
|
||||
const visibleChecked = checkedValues.slice(0, visibleItemsCount);
|
||||
|
||||
// Count of checked values in the currently visible items
|
||||
const checkedValuesCount = useMemo(
|
||||
() => currentAttributeKeys.filter((val) => currentFilterState[val]).length,
|
||||
[currentAttributeKeys, currentFilterState],
|
||||
);
|
||||
return {
|
||||
visibleCheckedValues: visibleChecked,
|
||||
uncheckedValues: unchecked,
|
||||
visibleCheckedCount: visibleChecked.length,
|
||||
hasMoreChecked: checkedValues.length > visibleChecked.length,
|
||||
};
|
||||
}, [attributeValues, currentFilterState, visibleItemsCount]);
|
||||
|
||||
const handleClearFilterAttribute = (): void => {
|
||||
const preparedQuery: Query = {
|
||||
@@ -593,35 +701,90 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
)}
|
||||
</section>
|
||||
</section>
|
||||
{isOpen &&
|
||||
(isLoading || isLoadingKeyValueSuggestions) &&
|
||||
!attributeValues.length && (
|
||||
<section className="loading">
|
||||
<Skeleton paragraph={{ rows: 4 }} />
|
||||
</section>
|
||||
)}
|
||||
{isOpen && !isLoading && !isLoadingKeyValueSuggestions && (
|
||||
{isOpen && isLoadingKeyValueSuggestions && !attributeValues.length && (
|
||||
<section className="loading">
|
||||
<Skeleton paragraph={{ rows: 4 }} />
|
||||
</section>
|
||||
)}
|
||||
{isOpen && !isLoadingKeyValueSuggestions && (
|
||||
<>
|
||||
{!isEmptyStateWithDocsEnabled && (
|
||||
<section className="search">
|
||||
<section className="search" ref={searchContainerRef}>
|
||||
<Input
|
||||
placeholder="Filter values"
|
||||
onChange={(e): void => setSearchTextDebounced(e.target.value)}
|
||||
disabled={isFilterDisabled}
|
||||
ref={searchInputRef}
|
||||
/>
|
||||
</section>
|
||||
)}
|
||||
{attributeValues.length > 0 ? (
|
||||
<section className="values">
|
||||
{currentAttributeKeys.map((value: string, index: number) => (
|
||||
{visibleCheckedValues.map((value: string) => (
|
||||
<Fragment key={value}>
|
||||
{index === checkedValuesCount && checkedValuesCount > 0 && (
|
||||
<div
|
||||
key="separator"
|
||||
className="filter-separator"
|
||||
data-testid="filter-separator"
|
||||
<div className="value">
|
||||
<Checkbox
|
||||
onChange={(e): void => onChange(value, e.target.checked, false)}
|
||||
checked={currentFilterState[value]}
|
||||
disabled={isFilterDisabled}
|
||||
rootClassName="check-box"
|
||||
/>
|
||||
)}
|
||||
|
||||
<div
|
||||
className={cx(
|
||||
'checkbox-value-section',
|
||||
isFilterDisabled ? 'filter-disabled' : '',
|
||||
)}
|
||||
onClick={(): void => {
|
||||
if (isFilterDisabled) {
|
||||
return;
|
||||
}
|
||||
onChange(value, currentFilterState[value], true);
|
||||
}}
|
||||
>
|
||||
<div className={`${filter.title} label-${value}`} />
|
||||
{filter.customRendererForValue ? (
|
||||
filter.customRendererForValue(value)
|
||||
) : (
|
||||
<Typography.Text
|
||||
className="value-string"
|
||||
ellipsis={{ tooltip: { placement: 'top' } }}
|
||||
>
|
||||
{String(value)}
|
||||
</Typography.Text>
|
||||
)}
|
||||
<Button type="text" className="only-btn">
|
||||
{isSomeFilterPresentForCurrentAttribute
|
||||
? currentFilterState[value] && !isMultipleValuesTrueForTheKey
|
||||
? 'All'
|
||||
: 'Only'
|
||||
: 'Only'}
|
||||
</Button>
|
||||
<Button type="text" className="toggle-btn">
|
||||
Toggle
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</Fragment>
|
||||
))}
|
||||
|
||||
{hasMoreChecked && (
|
||||
<section className="show-more">
|
||||
<Typography.Text
|
||||
className="show-more-text"
|
||||
onClick={(): void => setVisibleItemsCount((prev) => prev + 10)}
|
||||
>
|
||||
Show More...
|
||||
</Typography.Text>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{visibleCheckedCount > 0 && uncheckedValues.length > 0 && (
|
||||
<div className="filter-separator" data-testid="filter-separator" />
|
||||
)}
|
||||
|
||||
{uncheckedValues.map((value: string) => (
|
||||
<Fragment key={value}>
|
||||
<div className="value">
|
||||
<Checkbox
|
||||
onChange={(e): void => onChange(value, e.target.checked, false)}
|
||||
@@ -681,16 +844,18 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
<Typography.Text>No values found</Typography.Text>{' '}
|
||||
</section>
|
||||
)}
|
||||
{visibleItemsCount < attributeValues?.length && (
|
||||
<section className="show-more">
|
||||
<Typography.Text
|
||||
className="show-more-text"
|
||||
onClick={(): void => setVisibleItemsCount((prev) => prev + 10)}
|
||||
>
|
||||
Show More...
|
||||
</Typography.Text>
|
||||
</section>
|
||||
)}
|
||||
{visibleItemsCount >= attributeValues?.length &&
|
||||
attributeValues?.length > 0 &&
|
||||
!isDataComplete && (
|
||||
<section className="search-prompt" onClick={handleSearchPromptClick}>
|
||||
<AlertTriangle size={16} className="search-prompt__icon" />
|
||||
<span className="search-prompt__text">
|
||||
<Typography.Text className="search-prompt__subtitle">
|
||||
Tap to search and load more suggestions.
|
||||
</Typography.Text>
|
||||
</span>
|
||||
</section>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -282,11 +282,11 @@ export default function QuickFilters(props: IQuickFiltersProps): JSX.Element {
|
||||
size="small"
|
||||
style={{ marginLeft: 'auto' }}
|
||||
checked={showIP ?? true}
|
||||
onChange={(checked): void => {
|
||||
onClick={(): void => {
|
||||
logEvent('API Monitoring: Show IP addresses clicked', {
|
||||
showIP: checked,
|
||||
showIP: !(showIP ?? true),
|
||||
});
|
||||
setParams({ showIP: checked });
|
||||
setParams({ showIP });
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -1,9 +1,6 @@
|
||||
import { ENVIRONMENT } from 'constants/env';
|
||||
import {
|
||||
ApiMonitoringParams,
|
||||
useApiMonitoringParams,
|
||||
} from 'container/ApiMonitoring/queryParams';
|
||||
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
|
||||
import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
|
||||
import {
|
||||
otherFiltersResponse,
|
||||
quickFiltersAttributeValuesResponse,
|
||||
@@ -22,23 +19,22 @@ import { QuickFiltersConfig } from './constants';
|
||||
jest.mock('hooks/queryBuilder/useQueryBuilder', () => ({
|
||||
useQueryBuilder: jest.fn(),
|
||||
}));
|
||||
jest.mock('container/ApiMonitoring/queryParams');
|
||||
|
||||
jest.mock('hooks/querySuggestions/useGetQueryKeyValueSuggestions');
|
||||
|
||||
const handleFilterVisibilityChange = jest.fn();
|
||||
const redirectWithQueryBuilderData = jest.fn();
|
||||
const putHandler = jest.fn();
|
||||
const mockSetApiMonitoringParams = jest.fn() as jest.MockedFunction<
|
||||
(newParams: Partial<ApiMonitoringParams>, replace?: boolean) => void
|
||||
>;
|
||||
const mockUseApiMonitoringParams = jest.mocked(useApiMonitoringParams);
|
||||
|
||||
const mockUseGetQueryKeyValueSuggestions = jest.mocked(
|
||||
useGetQueryKeyValueSuggestions,
|
||||
);
|
||||
|
||||
const BASE_URL = ENVIRONMENT.baseURL;
|
||||
const SIGNAL = SignalType.LOGS;
|
||||
const quickFiltersListURL = `${BASE_URL}/api/v1/orgs/me/filters/${SIGNAL}`;
|
||||
const saveQuickFiltersURL = `${BASE_URL}/api/v1/orgs/me/filters`;
|
||||
const quickFiltersSuggestionsURL = `${BASE_URL}/api/v3/filter_suggestions`;
|
||||
const quickFiltersAttributeValuesURL = `${BASE_URL}/api/v3/autocomplete/attribute_values`;
|
||||
const fieldsValuesURL = `${BASE_URL}/api/v1/fields/values`;
|
||||
|
||||
const FILTER_OS_DESCRIPTION = 'os.description';
|
||||
const FILTER_K8S_DEPLOYMENT_NAME = 'k8s.deployment.name';
|
||||
@@ -62,10 +58,7 @@ const setupServer = (): void => {
|
||||
putHandler(await req.json());
|
||||
return res(ctx.status(200), ctx.json({}));
|
||||
}),
|
||||
rest.get(quickFiltersAttributeValuesURL, (_req, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(quickFiltersAttributeValuesResponse)),
|
||||
),
|
||||
rest.get(fieldsValuesURL, (_req, res, ctx) =>
|
||||
rest.get('*/api/v1/fields/values*', (_req, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(quickFiltersAttributeValuesResponse)),
|
||||
),
|
||||
);
|
||||
@@ -93,28 +86,6 @@ TestQuickFilters.defaultProps = {
|
||||
config: QuickFiltersConfig,
|
||||
};
|
||||
|
||||
function TestQuickFiltersApiMonitoring({
|
||||
signal = SignalType.LOGS,
|
||||
config = QuickFiltersConfig,
|
||||
}: {
|
||||
signal?: SignalType;
|
||||
config?: IQuickFiltersConfig[];
|
||||
}): JSX.Element {
|
||||
return (
|
||||
<QuickFilters
|
||||
source={QuickFiltersSource.API_MONITORING}
|
||||
config={config}
|
||||
handleFilterVisibilityChange={handleFilterVisibilityChange}
|
||||
signal={signal}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
TestQuickFiltersApiMonitoring.defaultProps = {
|
||||
signal: '',
|
||||
config: QuickFiltersConfig,
|
||||
};
|
||||
|
||||
beforeAll(() => {
|
||||
server.listen();
|
||||
});
|
||||
@@ -135,18 +106,24 @@ beforeEach(() => {
|
||||
queryData: [
|
||||
{
|
||||
queryName: QUERY_NAME,
|
||||
filters: { items: [{ key: 'test', value: 'value' }] },
|
||||
filters: { items: [], op: 'AND' },
|
||||
filter: { expression: '' },
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
lastUsedQuery: 0,
|
||||
panelType: 'logs',
|
||||
redirectWithQueryBuilderData,
|
||||
});
|
||||
mockUseApiMonitoringParams.mockReturnValue([
|
||||
{ showIP: true } as ApiMonitoringParams,
|
||||
mockSetApiMonitoringParams,
|
||||
]);
|
||||
|
||||
// Mock the hook to return data with mq-kafka
|
||||
mockUseGetQueryKeyValueSuggestions.mockReturnValue({
|
||||
data: quickFiltersAttributeValuesResponse,
|
||||
isLoading: false,
|
||||
refetch: jest.fn(),
|
||||
} as any);
|
||||
|
||||
setupServer();
|
||||
});
|
||||
|
||||
@@ -259,8 +236,9 @@ describe('Quick Filters', () => {
|
||||
|
||||
render(<TestQuickFilters />);
|
||||
|
||||
// Prefer role if possible; if label text isn’t wired to input, clicking the label text is OK
|
||||
const target = await screen.findByText('mq-kafka');
|
||||
// Wait for the filter to load with data
|
||||
const target = await screen.findByText('mq-kafka', {}, { timeout: 5000 });
|
||||
|
||||
await user.click(target);
|
||||
|
||||
await waitFor(() => {
|
||||
@@ -286,24 +264,6 @@ describe('Quick Filters', () => {
|
||||
);
|
||||
});
|
||||
});
|
||||
it('toggles Show IP addresses and updates API Monitoring params', async () => {
|
||||
const user = userEvent.setup({ pointerEventsCheck: 0 });
|
||||
|
||||
render(<TestQuickFiltersApiMonitoring />);
|
||||
|
||||
// Switch should be rendered and initially checked
|
||||
expect(screen.getByText('Show IP addresses')).toBeInTheDocument();
|
||||
const toggle = screen.getByRole('switch');
|
||||
expect(toggle).toHaveAttribute('aria-checked', 'true');
|
||||
|
||||
await user.click(toggle);
|
||||
|
||||
await waitFor(() => {
|
||||
expect(mockSetApiMonitoringParams).toHaveBeenCalledWith(
|
||||
expect.objectContaining({ showIP: false }),
|
||||
);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('Quick Filters with custom filters', () => {
|
||||
|
||||
@@ -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>
|
||||
);
|
||||
}
|
||||
@@ -1,116 +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 stackSeries(
|
||||
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;
|
||||
}
|
||||
@@ -1,125 +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 { stackSeries } from '../charts/utils/stackSeriesUtils';
|
||||
|
||||
/** 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(
|
||||
unstackedData: uPlot.AlignedData | null,
|
||||
plot: uPlot,
|
||||
isUpdating: boolean,
|
||||
): boolean {
|
||||
return (
|
||||
!isUpdating &&
|
||||
!!unstackedData &&
|
||||
!!plot.data &&
|
||||
unstackedData[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 } = stackSeries(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 } = stackSeries(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;
|
||||
}
|
||||
@@ -1,160 +0,0 @@
|
||||
import { useCallback, 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';
|
||||
|
||||
import '../Panel.styles.scss';
|
||||
|
||||
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,
|
||||
]);
|
||||
|
||||
const onPlotDestroy = useCallback(() => {
|
||||
uPlotRef.current = null;
|
||||
}, []);
|
||||
|
||||
const onPlotRef = useCallback((plot: uPlot | null): void => {
|
||||
uPlotRef.current = plot;
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div className="panel-container" ref={graphRef}>
|
||||
{containerDimensions.width > 0 && containerDimensions.height > 0 && (
|
||||
<BarChart
|
||||
config={config}
|
||||
legendConfig={{
|
||||
position: widget?.legendPosition ?? LegendPosition.BOTTOM,
|
||||
}}
|
||||
plotRef={onPlotRef}
|
||||
onDestroy={onPlotDestroy}
|
||||
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;
|
||||
@@ -1,118 +0,0 @@
|
||||
import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { getInitialStackedBands } from 'container/DashboardContainer/visualization/charts/utils/stackSeriesUtils';
|
||||
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 { get } from 'lodash-es';
|
||||
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 stepIntervals: Record<string, number> = get(
|
||||
apiResponse,
|
||||
'data.newResult.meta.stepIntervals',
|
||||
{},
|
||||
);
|
||||
|
||||
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;
|
||||
|
||||
const currentStepInterval = get(stepIntervals, series.queryName, undefined);
|
||||
|
||||
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,
|
||||
stepInterval: currentStepInterval,
|
||||
});
|
||||
});
|
||||
|
||||
return builder;
|
||||
}
|
||||
@@ -5,12 +5,16 @@ import { PanelMode } from 'container/DashboardContainer/visualization/panels/typ
|
||||
import { WidgetGraphComponentProps } from 'container/GridCardLayout/GridCard/types';
|
||||
import { RowData } from 'lib/query/createTableColumnsFromQuery';
|
||||
import { OnClickPluginOpts } from 'lib/uPlotLib/plugins/onClickPlugin';
|
||||
import { SuccessResponse } from 'types/api';
|
||||
import { Widgets } from 'types/api/dashboard/getAll';
|
||||
import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import { QueryData } from 'types/api/widgets/getQuery';
|
||||
|
||||
export type PanelWrapperProps = {
|
||||
queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
|
||||
queryResponse: UseQueryResult<
|
||||
SuccessResponse<MetricRangePayloadProps, unknown>,
|
||||
Error
|
||||
>;
|
||||
widget: Widgets;
|
||||
setRequestData?: WidgetGraphComponentProps['setRequestData'];
|
||||
isFullViewMode?: boolean;
|
||||
|
||||
@@ -10,12 +10,13 @@ import {
|
||||
GetQueryResultsProps,
|
||||
} from 'lib/dashboard/getQueryResults';
|
||||
import getStartEndRangeTime from 'lib/getStartEndRangeTime';
|
||||
import { SuccessResponse, Warning } from 'types/api';
|
||||
import APIError from 'types/api/error';
|
||||
import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
|
||||
type UseGetQueryRangeOptions = UseQueryOptions<
|
||||
MetricQueryRangeSuccessResponse,
|
||||
SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
|
||||
APIError | Error
|
||||
>;
|
||||
|
||||
@@ -29,7 +30,10 @@ type UseGetQueryRange = (
|
||||
widgetIndex: number;
|
||||
publicDashboardId: string;
|
||||
},
|
||||
) => UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
|
||||
) => UseQueryResult<
|
||||
SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
|
||||
Error
|
||||
>;
|
||||
|
||||
export const useGetQueryRange: UseGetQueryRange = (
|
||||
requestData,
|
||||
@@ -141,7 +145,10 @@ export const useGetQueryRange: UseGetQueryRange = (
|
||||
};
|
||||
}, [options?.retry]);
|
||||
|
||||
return useQuery<MetricQueryRangeSuccessResponse, APIError | Error>({
|
||||
return useQuery<
|
||||
SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
|
||||
APIError | Error
|
||||
>({
|
||||
queryFn: async ({ signal }) =>
|
||||
GetMetricQueryRange(
|
||||
modifiedRequestData,
|
||||
|
||||
@@ -9,6 +9,9 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
searchText,
|
||||
signalSource,
|
||||
metricName,
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
options,
|
||||
}: {
|
||||
key: string;
|
||||
@@ -20,6 +23,9 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
AxiosError
|
||||
>;
|
||||
metricName?: string;
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
existingQuery?: string;
|
||||
}): UseQueryResult<
|
||||
AxiosResponse<QueryKeyValueSuggestionsResponseProps>,
|
||||
AxiosError
|
||||
@@ -40,6 +46,9 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
searchText: searchText || '',
|
||||
signalSource: signalSource as 'meter' | '',
|
||||
metricName: metricName || '',
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
}),
|
||||
...options,
|
||||
});
|
||||
|
||||
@@ -1,61 +0,0 @@
|
||||
import { useCallback, useEffect, useRef, useState } from 'react';
|
||||
|
||||
const DEFAULT_COPIED_RESET_MS = 2000;
|
||||
|
||||
export interface UseCopyToClipboardOptions {
|
||||
/** How long (ms) to keep "copied" state before resetting. Default 2000. */
|
||||
copiedResetMs?: number;
|
||||
}
|
||||
|
||||
export type ID = number | string | null;
|
||||
|
||||
export interface UseCopyToClipboardReturn {
|
||||
/** Copy text to clipboard. Pass an optional id to track which item was copied (e.g. seriesIndex). */
|
||||
copyToClipboard: (text: string, id?: ID) => void;
|
||||
/** True when something was just copied and still within the reset threshold. */
|
||||
isCopied: boolean;
|
||||
/** The id passed to the last successful copy, or null after reset. Use to show "copied" state for a specific item (e.g. copiedId === item.seriesIndex). */
|
||||
id: ID;
|
||||
}
|
||||
|
||||
export function useCopyToClipboard(
|
||||
options: UseCopyToClipboardOptions = {},
|
||||
): UseCopyToClipboardReturn {
|
||||
const { copiedResetMs = DEFAULT_COPIED_RESET_MS } = options;
|
||||
const [state, setState] = useState<{ isCopied: boolean; id: ID }>({
|
||||
isCopied: false,
|
||||
id: null,
|
||||
});
|
||||
const timeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
return (): void => {
|
||||
if (timeoutRef.current) {
|
||||
clearTimeout(timeoutRef.current);
|
||||
timeoutRef.current = null;
|
||||
}
|
||||
};
|
||||
}, []);
|
||||
|
||||
const copyToClipboard = useCallback(
|
||||
(text: string, id?: ID): void => {
|
||||
navigator.clipboard.writeText(text).then(() => {
|
||||
if (timeoutRef.current) {
|
||||
clearTimeout(timeoutRef.current);
|
||||
}
|
||||
setState({ isCopied: true, id: id ?? null });
|
||||
timeoutRef.current = setTimeout(() => {
|
||||
setState({ isCopied: false, id: null });
|
||||
timeoutRef.current = null;
|
||||
}, copiedResetMs);
|
||||
});
|
||||
},
|
||||
[copiedResetMs],
|
||||
);
|
||||
|
||||
return {
|
||||
copyToClipboard,
|
||||
isCopied: state.isCopied,
|
||||
id: state.id,
|
||||
};
|
||||
}
|
||||
@@ -19,11 +19,7 @@ import { Pagination } from 'hooks/queryPagination';
|
||||
import { convertNewDataToOld } from 'lib/newQueryBuilder/convertNewDataToOld';
|
||||
import { isEmpty } from 'lodash-es';
|
||||
import { SuccessResponse, SuccessResponseV2, Warning } from 'types/api';
|
||||
import {
|
||||
MetricQueryRangeSuccessResponse,
|
||||
MetricRangePayloadProps,
|
||||
} from 'types/api/metrics/getQueryRange';
|
||||
import { ExecStats, MetricRangePayloadV5 } from 'types/api/v5/queryRange';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import { IBuilderQuery, Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
|
||||
@@ -209,13 +205,13 @@ export async function GetMetricQueryRange(
|
||||
widgetIndex: number;
|
||||
publicDashboardId: string;
|
||||
},
|
||||
): Promise<MetricQueryRangeSuccessResponse> {
|
||||
): Promise<SuccessResponse<MetricRangePayloadProps> & { warning?: Warning }> {
|
||||
let legendMap: Record<string, string>;
|
||||
let response:
|
||||
| MetricQueryRangeSuccessResponse
|
||||
| SuccessResponseV2<MetricRangePayloadV5>;
|
||||
| SuccessResponse<MetricRangePayloadProps>
|
||||
| SuccessResponseV2<MetricRangePayloadV5>
|
||||
| (SuccessResponse<MetricRangePayloadProps> & { warning?: Warning });
|
||||
let warning: Warning | undefined;
|
||||
let meta: ExecStats | undefined;
|
||||
|
||||
const panelType = props.originalGraphType || props.graphType;
|
||||
|
||||
@@ -303,7 +299,6 @@ export async function GetMetricQueryRange(
|
||||
);
|
||||
|
||||
warning = response.payload.warning || undefined;
|
||||
meta = response.payload.meta || undefined;
|
||||
} else {
|
||||
const v5Response = await getQueryRangeV5(
|
||||
v5Result.queryPayload,
|
||||
@@ -323,7 +318,6 @@ export async function GetMetricQueryRange(
|
||||
);
|
||||
|
||||
warning = response.payload.warning || undefined;
|
||||
meta = response.payload.meta || undefined;
|
||||
}
|
||||
} else {
|
||||
const legacyResult = prepareQueryRangePayload(props);
|
||||
@@ -390,7 +384,6 @@ export async function GetMetricQueryRange(
|
||||
return {
|
||||
...response,
|
||||
warning,
|
||||
meta,
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
@@ -128,15 +128,6 @@
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.legend-item-label-trigger {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.legend-marker {
|
||||
border-width: 2px;
|
||||
border-radius: 50%;
|
||||
@@ -166,34 +157,10 @@
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
min-width: 0;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.legend-copy-button {
|
||||
display: none;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
flex-shrink: 0;
|
||||
padding: 2px;
|
||||
margin: 0;
|
||||
border: none;
|
||||
color: var(--bg-vanilla-400);
|
||||
cursor: pointer;
|
||||
border-radius: 4px;
|
||||
opacity: 1;
|
||||
transition: opacity 0.15s ease, color 0.15s ease;
|
||||
|
||||
&:hover {
|
||||
color: var(--bg-vanilla-100);
|
||||
}
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
.legend-copy-button {
|
||||
display: flex;
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -205,17 +172,4 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.legend-item {
|
||||
&:hover {
|
||||
background: rgba(0, 0, 0, 0.05);
|
||||
}
|
||||
.legend-copy-button {
|
||||
color: var(--bg-ink-400);
|
||||
|
||||
&:hover {
|
||||
color: var(--bg-ink-500);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,10 +2,8 @@ import { useCallback, useMemo, useRef, useState } from 'react';
|
||||
import { VirtuosoGrid } from 'react-virtuoso';
|
||||
import { Input, Tooltip as AntdTooltip } from 'antd';
|
||||
import cx from 'classnames';
|
||||
import { useCopyToClipboard } from 'hooks/useCopyToClipboard';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
import { Check, Copy } from 'lucide-react';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import { LegendPosition, LegendProps } from '../types';
|
||||
@@ -34,7 +32,6 @@ export default function Legend({
|
||||
});
|
||||
const legendContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const [legendSearchQuery, setLegendSearchQuery] = useState('');
|
||||
const { copyToClipboard, id: copiedId } = useCopyToClipboard();
|
||||
|
||||
const legendItems = useMemo(() => Object.values(legendItemsMap), [
|
||||
legendItemsMap,
|
||||
@@ -62,53 +59,26 @@ export default function Legend({
|
||||
);
|
||||
}, [position, legendSearchQuery, legendItems]);
|
||||
|
||||
const handleCopyLegendItem = useCallback(
|
||||
(e: React.MouseEvent, seriesIndex: number, label: string): void => {
|
||||
e.stopPropagation();
|
||||
copyToClipboard(label, seriesIndex);
|
||||
},
|
||||
[copyToClipboard],
|
||||
);
|
||||
|
||||
const renderLegendItem = useCallback(
|
||||
(item: LegendItem): JSX.Element => {
|
||||
const isCopied = copiedId === item.seriesIndex;
|
||||
return (
|
||||
(item: LegendItem): JSX.Element => (
|
||||
<AntdTooltip key={item.seriesIndex} title={item.label}>
|
||||
<div
|
||||
key={item.seriesIndex}
|
||||
data-legend-item-id={item.seriesIndex}
|
||||
className={cx('legend-item', `legend-item-${position.toLowerCase()}`, {
|
||||
'legend-item-off': !item.show,
|
||||
'legend-item-focused': focusedSeriesIndex === item.seriesIndex,
|
||||
})}
|
||||
>
|
||||
<AntdTooltip title={item.label}>
|
||||
<div className="legend-item-label-trigger">
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
</div>
|
||||
</AntdTooltip>
|
||||
<AntdTooltip title={isCopied ? 'Copied' : 'Copy'}>
|
||||
<button
|
||||
type="button"
|
||||
className="legend-copy-button"
|
||||
onClick={(e): void =>
|
||||
handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
|
||||
}
|
||||
aria-label={`Copy ${item.label}`}
|
||||
data-testid="legend-copy"
|
||||
>
|
||||
{isCopied ? <Check size={12} /> : <Copy size={12} />}
|
||||
</button>
|
||||
</AntdTooltip>
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
</div>
|
||||
);
|
||||
},
|
||||
[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
|
||||
</AntdTooltip>
|
||||
),
|
||||
[focusedSeriesIndex, position],
|
||||
);
|
||||
|
||||
const isEmptyState = useMemo(() => {
|
||||
|
||||
@@ -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;
|
||||
|
||||
@@ -1,11 +1,5 @@
|
||||
import React from 'react';
|
||||
import {
|
||||
fireEvent,
|
||||
render,
|
||||
RenderResult,
|
||||
screen,
|
||||
within,
|
||||
} from '@testing-library/react';
|
||||
import { render, RenderResult, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
@@ -14,9 +8,6 @@ import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import Legend from '../Legend/Legend';
|
||||
import { LegendPosition } from '../types';
|
||||
|
||||
const mockWriteText = jest.fn().mockResolvedValue(undefined);
|
||||
let clipboardSpy: jest.SpyInstance | undefined;
|
||||
|
||||
jest.mock('react-virtuoso', () => ({
|
||||
VirtuosoGrid: ({
|
||||
data,
|
||||
@@ -48,15 +39,6 @@ const mockUseLegendActions = useLegendActions as jest.MockedFunction<
|
||||
>;
|
||||
|
||||
describe('Legend', () => {
|
||||
beforeAll(() => {
|
||||
// JSDOM does not define navigator.clipboard; add it so we can spy on writeText
|
||||
Object.defineProperty(navigator, 'clipboard', {
|
||||
value: { writeText: () => Promise.resolve() },
|
||||
writable: true,
|
||||
configurable: true,
|
||||
});
|
||||
});
|
||||
|
||||
const baseLegendItemsMap = {
|
||||
0: {
|
||||
seriesIndex: 0,
|
||||
@@ -88,11 +70,6 @@ describe('Legend', () => {
|
||||
onLegendMouseMove = jest.fn();
|
||||
onLegendMouseLeave = jest.fn();
|
||||
onFocusSeries = jest.fn();
|
||||
mockWriteText.mockClear();
|
||||
|
||||
clipboardSpy = jest
|
||||
.spyOn(navigator.clipboard, 'writeText')
|
||||
.mockImplementation(mockWriteText);
|
||||
|
||||
mockUseLegendsSync.mockReturnValue({
|
||||
legendItemsMap: baseLegendItemsMap,
|
||||
@@ -109,7 +86,6 @@ describe('Legend', () => {
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
clipboardSpy?.mockRestore();
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
@@ -234,47 +210,4 @@ describe('Legend', () => {
|
||||
expect(onLegendMouseLeave).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('copy action', () => {
|
||||
it('copies the legend label to clipboard when copy button is clicked', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const firstLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="0"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(firstLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(mockWriteText).toHaveBeenCalledTimes(1);
|
||||
expect(mockWriteText).toHaveBeenCalledWith('A');
|
||||
});
|
||||
|
||||
it('copies the correct label when copy is clicked on a different legend item', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const thirdLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="2"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(thirdLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(mockWriteText).toHaveBeenCalledTimes(1);
|
||||
expect(mockWriteText).toHaveBeenCalledWith('C');
|
||||
});
|
||||
|
||||
it('does not call onLegendClick when copy button is clicked', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const firstLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="0"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(firstLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(onLegendClick).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -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,
|
||||
@@ -45,13 +43,18 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
}
|
||||
|
||||
private buildLineConfig({
|
||||
resolvedLineColor,
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
}: {
|
||||
resolvedLineColor: string;
|
||||
lineColor: string;
|
||||
lineWidth?: number;
|
||||
lineStyle?: LineStyle;
|
||||
lineCap?: Series.Cap;
|
||||
}): Partial<Series> {
|
||||
const { lineWidth, lineStyle, lineCap } = this.props;
|
||||
const lineConfig: Partial<Series> = {
|
||||
stroke: resolvedLineColor,
|
||||
stroke: lineColor,
|
||||
width: lineWidth ?? 2,
|
||||
};
|
||||
|
||||
@@ -62,27 +65,21 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
if (lineCap) {
|
||||
lineConfig.cap = lineCap;
|
||||
}
|
||||
|
||||
if (this.props.panelType === PANEL_TYPES.BAR) {
|
||||
lineConfig.fill = resolvedLineColor;
|
||||
}
|
||||
|
||||
return lineConfig;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build path configuration
|
||||
*/
|
||||
private buildPathConfig(): Partial<Series> {
|
||||
const {
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
stepInterval,
|
||||
} = this.props;
|
||||
private buildPathConfig({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
}: {
|
||||
pathBuilder?: Series.PathBuilder | null;
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
}): Partial<Series> {
|
||||
if (pathBuilder) {
|
||||
return { paths: pathBuilder };
|
||||
}
|
||||
@@ -99,14 +96,7 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
idx0: number,
|
||||
idx1: number,
|
||||
): Series.Paths | null => {
|
||||
const pathsBuilder = getPathBuilder({
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
stepInterval,
|
||||
});
|
||||
const pathsBuilder = getPathBuilder(drawStyle, lineInterpolation);
|
||||
|
||||
return pathsBuilder(self, seriesIdx, idx0, idx1);
|
||||
},
|
||||
@@ -120,21 +110,25 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
* Build points configuration
|
||||
*/
|
||||
private buildPointsConfig({
|
||||
resolvedLineColor,
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
}: {
|
||||
resolvedLineColor: string;
|
||||
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: resolvedLineColor,
|
||||
fill: resolvedLineColor,
|
||||
stroke: lineColor,
|
||||
fill: lineColor,
|
||||
size: !pointSize || pointSize < (lineWidth ?? 2) ? undefined : pointSize,
|
||||
filter: pointsFilter || undefined,
|
||||
};
|
||||
@@ -168,16 +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 resolvedLineColor = this.getLineColor();
|
||||
const lineColor = this.getLineColor();
|
||||
|
||||
const lineConfig = this.buildLineConfig({
|
||||
resolvedLineColor,
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig();
|
||||
const pointsConfig = this.buildPointsConfig({
|
||||
resolvedLineColor,
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder: pointsBuilder ?? null,
|
||||
pointsFilter: pointsFilter ?? null,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
});
|
||||
|
||||
return {
|
||||
@@ -205,37 +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,
|
||||
stepInterval,
|
||||
}: {
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
barAlignment?: BarAlignment;
|
||||
barMaxWidth?: number;
|
||||
barWidthFactor?: number;
|
||||
stepInterval?: number;
|
||||
}): Series.PathBuilder {
|
||||
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 pathBuilders = uPlot.paths;
|
||||
return getBarPathBuilder({
|
||||
pathBuilders,
|
||||
barAlignment,
|
||||
barWidthFactor,
|
||||
barMaxWidth,
|
||||
stepInterval,
|
||||
});
|
||||
}
|
||||
|
||||
if (drawStyle === DrawStyle.Line) {
|
||||
if (style === DrawStyle.Line) {
|
||||
if (lineInterpolation === LineInterpolation.StepBefore) {
|
||||
return builders.stepBefore;
|
||||
}
|
||||
@@ -250,81 +250,4 @@ function getPathBuilder({
|
||||
return builders.spline;
|
||||
}
|
||||
|
||||
// eslint-disable-next-line sonarjs/cognitive-complexity
|
||||
function getBarPathBuilder({
|
||||
pathBuilders,
|
||||
barAlignment,
|
||||
barWidthFactor,
|
||||
barMaxWidth,
|
||||
stepInterval,
|
||||
}: {
|
||||
pathBuilders: typeof uPlot.paths;
|
||||
barAlignment: BarAlignment;
|
||||
barWidthFactor: number;
|
||||
barMaxWidth: number;
|
||||
stepInterval?: number;
|
||||
}): Series.PathBuilder {
|
||||
if (!builders) {
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
|
||||
const barsPathBuilderFactory = pathBuilders.bars;
|
||||
|
||||
// When a stepInterval is provided (in seconds), cap the maximum bar width
|
||||
// so that a single bar never visually spans more than stepInterval worth
|
||||
// of time on the x-scale.
|
||||
if (
|
||||
typeof stepInterval === 'number' &&
|
||||
stepInterval > 0 &&
|
||||
barsPathBuilderFactory
|
||||
) {
|
||||
return (
|
||||
self: uPlot,
|
||||
seriesIdx: number,
|
||||
idx0: number,
|
||||
idx1: number,
|
||||
): Series.Paths | null => {
|
||||
let effectiveBarMaxWidth = barMaxWidth;
|
||||
|
||||
const xScale = self.scales.x as uPlot.Scale | undefined;
|
||||
if (xScale && typeof xScale.min === 'number') {
|
||||
const start = xScale.min as number;
|
||||
const end = start + stepInterval;
|
||||
const startPx = self.valToPos(start, 'x');
|
||||
const endPx = self.valToPos(end, 'x');
|
||||
const intervalPx = Math.abs(endPx - startPx);
|
||||
|
||||
if (intervalPx > 0) {
|
||||
effectiveBarMaxWidth =
|
||||
typeof barMaxWidth === 'number'
|
||||
? Math.min(barMaxWidth, intervalPx)
|
||||
: intervalPx;
|
||||
}
|
||||
}
|
||||
|
||||
const barsCfgKey = `bars|${barAlignment}|${barWidthFactor}|${effectiveBarMaxWidth}`;
|
||||
if (builders && !builders[barsCfgKey]) {
|
||||
builders[barsCfgKey] = barsPathBuilderFactory({
|
||||
size: [barWidthFactor, effectiveBarMaxWidth],
|
||||
align: barAlignment,
|
||||
});
|
||||
}
|
||||
|
||||
return builders && builders[barsCfgKey]
|
||||
? builders[barsCfgKey](self, seriesIdx, idx0, idx1)
|
||||
: null;
|
||||
};
|
||||
}
|
||||
|
||||
const barsCfgKey = `bars|${barAlignment}|${barWidthFactor}|${barMaxWidth}`;
|
||||
if (!builders[barsCfgKey] && barsPathBuilderFactory) {
|
||||
builders[barsCfgKey] = barsPathBuilderFactory({
|
||||
size: [barWidthFactor, barMaxWidth],
|
||||
align: barAlignment,
|
||||
});
|
||||
}
|
||||
|
||||
return builders[barsCfgKey];
|
||||
}
|
||||
|
||||
export type { SeriesProps };
|
||||
|
||||
@@ -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;
|
||||
@@ -175,8 +137,20 @@ export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
pointsBuilder?: Series.Points.Show;
|
||||
show?: boolean;
|
||||
spanGaps?: boolean;
|
||||
|
||||
isDarkMode?: boolean;
|
||||
stepInterval?: number;
|
||||
|
||||
// Line config
|
||||
lineColor?: string;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
lineStyle?: LineStyle;
|
||||
lineWidth?: number;
|
||||
lineCap?: Series.Cap;
|
||||
|
||||
// Points config
|
||||
pointColor?: string;
|
||||
pointSize?: number;
|
||||
showPoints?: VisibilityMode;
|
||||
}
|
||||
|
||||
export interface LegendItem {
|
||||
|
||||
@@ -118,13 +118,13 @@ export const otherFiltersResponse = {
|
||||
export const quickFiltersAttributeValuesResponse = {
|
||||
status: 'success',
|
||||
data: {
|
||||
stringAttributeValues: [
|
||||
'mq-kafka',
|
||||
'otel-demo',
|
||||
'otlp-python',
|
||||
'sample-flask',
|
||||
],
|
||||
numberAttributeValues: null,
|
||||
boolAttributeValues: null,
|
||||
data: {
|
||||
values: {
|
||||
relatedValues: ['mq-kafka', 'otel-demo', 'otlp-python', 'sample-flask'],
|
||||
stringValues: ['mq-kafka', 'otel-demo', 'otlp-python', 'sample-flask'],
|
||||
numberValues: [],
|
||||
},
|
||||
complete: true,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
@@ -1,14 +1,13 @@
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
|
||||
import { SuccessResponse, Warning } from '..';
|
||||
import { Warning } from '..';
|
||||
import {
|
||||
IBuilderFormula,
|
||||
IBuilderQuery,
|
||||
IClickHouseQuery,
|
||||
IPromQLQuery,
|
||||
} from '../queryBuilder/queryBuilderData';
|
||||
import { ExecStats } from '../v5/queryRange';
|
||||
import { QueryData, QueryDataV3 } from '../widgets/getQuery';
|
||||
|
||||
export type QueryRangePayload = {
|
||||
@@ -36,15 +35,8 @@ export interface MetricRangePayloadProps {
|
||||
newResult: MetricRangePayloadV3;
|
||||
warnings?: string[];
|
||||
};
|
||||
meta?: ExecStats;
|
||||
}
|
||||
|
||||
/** Query range success response including optional warning and meta */
|
||||
export type MetricQueryRangeSuccessResponse = SuccessResponse<
|
||||
MetricRangePayloadProps,
|
||||
unknown
|
||||
> & { warning?: Warning; meta?: ExecStats };
|
||||
|
||||
export interface MetricRangePayloadV3 {
|
||||
data: {
|
||||
result: QueryDataV3[];
|
||||
@@ -52,5 +44,4 @@ export interface MetricRangePayloadV3 {
|
||||
warnings?: string[];
|
||||
};
|
||||
warning?: Warning;
|
||||
meta?: ExecStats;
|
||||
}
|
||||
|
||||
@@ -29,6 +29,8 @@ export interface QueryKeyRequestProps {
|
||||
fieldDataType?: QUERY_BUILDER_KEY_TYPES;
|
||||
metricName?: string;
|
||||
signalSource?: 'meter' | '';
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
}
|
||||
|
||||
export interface QueryKeyValueSuggestionsProps {
|
||||
@@ -47,6 +49,9 @@ export interface QueryKeyValueRequestProps {
|
||||
searchText: string;
|
||||
signalSource?: 'meter' | '';
|
||||
metricName?: string;
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
existingQuery?: string;
|
||||
}
|
||||
|
||||
export type SignalType = 'traces' | 'logs' | 'metrics';
|
||||
|
||||
@@ -334,7 +334,6 @@ export interface ExecStats {
|
||||
rowsScanned: number;
|
||||
bytesScanned: number;
|
||||
durationMs: number;
|
||||
stepIntervals: Record<string, number>;
|
||||
}
|
||||
|
||||
export interface Label {
|
||||
|
||||
@@ -10,27 +10,6 @@ type Config struct {
|
||||
|
||||
type Templates struct {
|
||||
Directory string `mapstructure:"directory"`
|
||||
Format Format `mapstructure:"format"`
|
||||
}
|
||||
|
||||
type Format struct {
|
||||
Header Header `mapstructure:"header"`
|
||||
Help Help `mapstructure:"help"`
|
||||
Footer Footer `mapstructure:"footer"`
|
||||
}
|
||||
|
||||
type Header struct {
|
||||
Enabled bool `mapstructure:"enabled"`
|
||||
LogoURL string `mapstructure:"logo_url"`
|
||||
}
|
||||
|
||||
type Help struct {
|
||||
Enabled bool `mapstructure:"enabled"`
|
||||
Email string `mapstructure:"email"`
|
||||
}
|
||||
|
||||
type Footer struct {
|
||||
Enabled bool `mapstructure:"enabled"`
|
||||
}
|
||||
|
||||
type SMTP struct {
|
||||
@@ -66,19 +45,6 @@ func newConfig() factory.Config {
|
||||
Enabled: false,
|
||||
Templates: Templates{
|
||||
Directory: "/root/templates",
|
||||
Format: Format{
|
||||
Header: Header{
|
||||
Enabled: false,
|
||||
LogoURL: "",
|
||||
},
|
||||
Help: Help{
|
||||
Enabled: false,
|
||||
Email: "",
|
||||
},
|
||||
Footer: Footer{
|
||||
Enabled: false,
|
||||
},
|
||||
},
|
||||
},
|
||||
SMTP: SMTP{
|
||||
Address: "localhost:25",
|
||||
|
||||
@@ -15,7 +15,6 @@ type provider struct {
|
||||
settings factory.ScopedProviderSettings
|
||||
store emailtypes.TemplateStore
|
||||
client *client.Client
|
||||
config emailing.Config
|
||||
}
|
||||
|
||||
func NewFactory() factory.ProviderFactory[emailing.Emailing, emailing.Config] {
|
||||
@@ -56,12 +55,7 @@ func New(ctx context.Context, providerSettings factory.ProviderSettings, config
|
||||
return nil, err
|
||||
}
|
||||
|
||||
return &provider{
|
||||
settings: settings,
|
||||
store: store,
|
||||
client: client,
|
||||
config: config,
|
||||
}, nil
|
||||
return &provider{settings: settings, store: store, client: client}, nil
|
||||
}
|
||||
|
||||
func (provider *provider) SendHTML(ctx context.Context, to string, subject string, templateName emailtypes.TemplateName, data map[string]any) error {
|
||||
@@ -75,19 +69,8 @@ func (provider *provider) SendHTML(ctx context.Context, to string, subject strin
|
||||
return err
|
||||
}
|
||||
|
||||
// if no data is provided, create an empty map to prevent a panic when we add the format, to, and subject data
|
||||
if data == nil {
|
||||
data = make(map[string]any)
|
||||
}
|
||||
|
||||
// the following are overridden if provided in the data map
|
||||
data["format"] = provider.config.Templates.Format
|
||||
data["to"] = to
|
||||
data["subject"] = subject
|
||||
|
||||
content, err := emailtypes.NewContent(template, data)
|
||||
if err != nil {
|
||||
provider.settings.Logger().ErrorContext(ctx, "failed to create email content", "error", err)
|
||||
return err
|
||||
}
|
||||
|
||||
|
||||
@@ -22,6 +22,8 @@ import (
|
||||
"github.com/SigNoz/signoz/pkg/types/roletypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/dustin/go-humanize"
|
||||
"golang.org/x/text/cases"
|
||||
"golang.org/x/text/language"
|
||||
)
|
||||
|
||||
type Module struct {
|
||||
@@ -144,9 +146,11 @@ func (m *Module) CreateBulkInvite(ctx context.Context, orgID valuer.UUID, userID
|
||||
continue
|
||||
}
|
||||
|
||||
if err := m.emailing.SendHTML(ctx, invites[i].Email.String(), "You're Invited to Join SigNoz", emailtypes.TemplateNameInvitationEmail, map[string]any{
|
||||
"inviter_email": creator.Email,
|
||||
"link": fmt.Sprintf("%s/signup?token=%s", bulkInvites.Invites[i].FrontendBaseUrl, invites[i].Token),
|
||||
if err := m.emailing.SendHTML(ctx, invites[i].Email.String(), "You are invited to join a team in SigNoz", emailtypes.TemplateNameInvitationEmail, map[string]any{
|
||||
"CustomerName": invites[i].Name,
|
||||
"InviterName": creator.DisplayName,
|
||||
"InviterEmail": creator.Email,
|
||||
"Link": fmt.Sprintf("%s/signup?token=%s", bulkInvites.Invites[i].FrontendBaseUrl, invites[i].Token),
|
||||
}); err != nil {
|
||||
m.settings.Logger().ErrorContext(ctx, "failed to send email", "error", err)
|
||||
}
|
||||
@@ -257,6 +261,18 @@ func (m *Module) UpdateUser(ctx context.Context, orgID valuer.UUID, id string, u
|
||||
traits["updated_by"] = updatedBy
|
||||
m.analytics.TrackUser(ctx, user.OrgID.String(), user.ID.String(), "User Updated", traits)
|
||||
|
||||
// if the role is updated then send an email
|
||||
if existingUser.Role != updatedUser.Role {
|
||||
if err := m.emailing.SendHTML(ctx, existingUser.Email.String(), "Your Role Has Been Updated in SigNoz", emailtypes.TemplateNameUpdateRole, map[string]any{
|
||||
"CustomerName": existingUser.DisplayName,
|
||||
"UpdatedByEmail": requestor.Email,
|
||||
"OldRole": cases.Title(language.English).String(strings.ToLower(existingUser.Role.String())),
|
||||
"NewRole": cases.Title(language.English).String(strings.ToLower(updatedUser.Role.String())),
|
||||
}); err != nil {
|
||||
m.settings.Logger().ErrorContext(ctx, "failed to send email", "error", err)
|
||||
}
|
||||
}
|
||||
|
||||
if err := m.tokenizer.DeleteIdentity(ctx, valuer.MustNewUUID(id)); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -378,9 +394,10 @@ func (module *Module) ForgotPassword(ctx context.Context, orgID valuer.UUID, ema
|
||||
if err := module.emailing.SendHTML(
|
||||
ctx,
|
||||
user.Email.String(),
|
||||
"A Password Reset Was Requested for SigNoz",
|
||||
"Reset your SigNoz password",
|
||||
emailtypes.TemplateNameResetPassword,
|
||||
map[string]any{
|
||||
"Name": user.DisplayName,
|
||||
"Link": resetLink,
|
||||
"Expiry": humanizedTokenLifetime,
|
||||
},
|
||||
|
||||
@@ -12,12 +12,13 @@ import (
|
||||
var (
|
||||
// Templates is a list of all the templates that are supported by the emailing service.
|
||||
// This list should be updated whenever a new template is added.
|
||||
Templates = []TemplateName{TemplateNameInvitationEmail, TemplateNameResetPassword}
|
||||
Templates = []TemplateName{TemplateNameInvitationEmail, TemplateNameUpdateRole, TemplateNameResetPassword}
|
||||
)
|
||||
|
||||
var (
|
||||
TemplateNameInvitationEmail = TemplateName{valuer.NewString("invitation")}
|
||||
TemplateNameResetPassword = TemplateName{valuer.NewString("reset_password")}
|
||||
TemplateNameInvitationEmail = TemplateName{valuer.NewString("invitation_email")}
|
||||
TemplateNameUpdateRole = TemplateName{valuer.NewString("update_role")}
|
||||
TemplateNameResetPassword = TemplateName{valuer.NewString("reset_password_email")}
|
||||
)
|
||||
|
||||
type TemplateName struct{ valuer.String }
|
||||
@@ -26,6 +27,8 @@ func NewTemplateName(name string) (TemplateName, error) {
|
||||
switch name {
|
||||
case TemplateNameInvitationEmail.StringValue():
|
||||
return TemplateNameInvitationEmail, nil
|
||||
case TemplateNameUpdateRole.StringValue():
|
||||
return TemplateNameUpdateRole, nil
|
||||
case TemplateNameResetPassword.StringValue():
|
||||
return TemplateNameResetPassword, nil
|
||||
default:
|
||||
@@ -37,7 +40,7 @@ func NewContent(template *template.Template, data map[string]any) ([]byte, error
|
||||
buf := bytes.NewBuffer(nil)
|
||||
err := template.Execute(buf, data)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "failed to execute template")
|
||||
}
|
||||
|
||||
return buf.Bytes(), nil
|
||||
|
||||
@@ -1,91 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<meta http-equiv="X-UA-Compatible" content="IE=edge">
|
||||
<title>You're Invited to Join SigNoz</title>
|
||||
</head>
|
||||
|
||||
<body style="margin:0;padding:0;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif;line-height:1.6;color:#333;background:#fff">
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="background:#fff">
|
||||
<tr>
|
||||
<td align="center" style="padding:0">
|
||||
<table role="presentation" width="600" cellspacing="0" cellpadding="0" border="0" style="max-width:600px;width:100%">
|
||||
{{ if .format.Header.Enabled }}
|
||||
<tr>
|
||||
<td align="center" style="padding:16px 20px 16px">
|
||||
<img src="{{.format.Header.LogoURL}}" alt="SigNoz" width="160" height="40" style="display:block;border:0;outline:none;max-width:100%;height:auto">
|
||||
</td>
|
||||
</tr>
|
||||
{{ end }}
|
||||
<tr>
|
||||
<td style="padding:16px 20px 16px">
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333">
|
||||
Hi there,
|
||||
</p>
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
You've been invited by <strong>{{.inviter_email}}</strong> to join their SigNoz organization.
|
||||
</p>
|
||||
<p style="margin:0 0 12px;font-size:16px;color:#333;line-height:1.6">
|
||||
A new account has been created for you with the following details:
|
||||
</p>
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="margin:0 0 16px">
|
||||
<tr>
|
||||
<td style="padding:20px;background:#f5f5f5;border-radius:6px;border-left:4px solid #4E74F8">
|
||||
<p style="margin:0;font-size:15px;color:#333;line-height:1.6">
|
||||
<strong>Email:</strong> {{.to}}
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
Accept the invitation to get started.
|
||||
</p>
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="margin:0 0 16px">
|
||||
<tr>
|
||||
<td align="center">
|
||||
<a href="{{.link}}" target="_blank" style="display:inline-block;padding:16px 48px;font-size:16px;font-weight:600;color:#fff;background:#4E74F8;text-decoration:none;border-radius:4px">
|
||||
Accept Invitation
|
||||
</a>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<p style="margin:0 0 4px;font-size:13px;color:#666;text-align:center">
|
||||
Button not working? Copy and paste this link into your browser:
|
||||
</p>
|
||||
<p style="margin:0 0 16px;font-size:13px;color:#4E74F8;word-break:break-all;text-align:center">
|
||||
<a href="{{.link}}" style="color:#4E74F8;text-decoration:none">
|
||||
{{.link}}
|
||||
</a>
|
||||
</p>
|
||||
{{ if .format.Help.Enabled }}
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
Need help? Chat with our team in the SigNoz application or email us at <a href="mailto:{{.format.Help.Email}}" style="color:#4E74F8;text-decoration:none">{{.format.Help.Email}}</a>.
|
||||
</p>
|
||||
{{ end }}
|
||||
<p style="margin:0;font-size:16px;color:#333;line-height:1.6">
|
||||
Thanks,<br><strong>The SigNoz Team</strong>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
{{ if .format.Footer.Enabled }}
|
||||
<tr>
|
||||
<td align="center" style="padding:8px 16px 8px">
|
||||
<p style="margin:0 0 8px;font-size:12px;color:#999;line-height:1.5">
|
||||
<a href="https://signoz.io/terms-of-service/" style="color:#4E74F8;text-decoration:none">Terms of Service</a> - <a href="https://signoz.io/privacy/" style="color:#4E74F8;text-decoration:none">Privacy Policy</a>
|
||||
</p>
|
||||
<p style="margin:0;font-size:12px;color:#999;line-height:1.5">
|
||||
© 2026 SigNoz Inc.
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
{{ end }}
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
14
templates/email/invitation_email.gotmpl
Normal file
14
templates/email/invitation_email.gotmpl
Normal file
@@ -0,0 +1,14 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<body>
|
||||
<p>Hi {{.CustomerName}},</p>
|
||||
<p>You have been invited to join SigNoz project by {{.InviterName}} ({{.InviterEmail}}).</p>
|
||||
<p>Please click on the following button to accept the invitation:</p>
|
||||
<a href="{{.Link}}" style="background-color: #000000; color: white; padding: 14px 20px; text-align: center; text-decoration: none; display: inline-block;">Accept Invitation</a>
|
||||
<p>Button not working? Paste the following link into your browser:</p>
|
||||
<p>{{.Link}}</p>
|
||||
<p>Follow docs here 👉 to <a href="https://signoz.io/docs/cloud/">Get Started with SigNoz Cloud</a></p>
|
||||
<p>Thanks,</p>
|
||||
<p>SigNoz Team</p>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,91 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<meta http-equiv="X-UA-Compatible" content="IE=edge">
|
||||
<title>{{.subject}}</title>
|
||||
</head>
|
||||
|
||||
<body style="margin:0;padding:0;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif;line-height:1.6;color:#333;background:#fff">
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="background:#fff">
|
||||
<tr>
|
||||
<td align="center" style="padding:0">
|
||||
<table role="presentation" width="600" cellspacing="0" cellpadding="0" border="0" style="max-width:600px;width:100%">
|
||||
{{ if .format.Header.Enabled }}
|
||||
<tr>
|
||||
<td align="center" style="padding:16px 20px 16px">
|
||||
<img src="{{.format.Header.LogoURL}}" alt="SigNoz" width="160" height="40" style="display:block;border:0;outline:none;max-width:100%;height:auto">
|
||||
</td>
|
||||
</tr>
|
||||
{{ end }}
|
||||
<tr>
|
||||
<td style="padding:16px 20px 16px">
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333">
|
||||
Hi there,
|
||||
</p>
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
A password reset was requested for your SigNoz account.
|
||||
</p>
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
Click the button below to reset your password:
|
||||
</p>
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="margin:0 0 16px">
|
||||
<tr>
|
||||
<td align="center">
|
||||
<a href="{{.Link}}" target="_blank" style="display:inline-block;padding:16px 48px;font-size:16px;font-weight:600;color:#fff;background:#4E74F8;text-decoration:none;border-radius:4px">
|
||||
Reset Password
|
||||
</a>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<p style="margin:0 0 4px;font-size:13px;color:#666;text-align:center">
|
||||
Button not working? Copy and paste this link into your browser:
|
||||
</p>
|
||||
<p style="margin:0 0 16px;font-size:13px;color:#4E74F8;word-break:break-all;text-align:center">
|
||||
<a href="{{.Link}}" style="color:#4E74F8;text-decoration:none">
|
||||
{{.Link}}
|
||||
</a>
|
||||
</p>
|
||||
<table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="margin:0 0 16px">
|
||||
<tr>
|
||||
<td style="padding:16px;background:#fff4e6;border-radius:6px;border-left:4px solid #ff9800">
|
||||
<p style="margin:0;font-size:14px;color:#333;line-height:1.6">
|
||||
<strong>⏱️ This link will expire in {{.Expiry}}.</strong>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
If you didn't request this password reset, please ignore this email. Your password will remain unchanged.
|
||||
</p>
|
||||
{{ if .format.Help.Enabled }}
|
||||
<p style="margin:0 0 16px;font-size:16px;color:#333;line-height:1.6">
|
||||
Need help? Chat with our team in the SigNoz application or email us at <a href="mailto:{{.format.Help.Email}}" style="color:#4E74F8;text-decoration:none">{{.format.Help.Email}}</a>.
|
||||
</p>
|
||||
{{ end }}
|
||||
<p style="margin:0;font-size:16px;color:#333;line-height:1.6">
|
||||
Thanks,<br><strong>The SigNoz Team</strong>
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
{{ if .format.Footer.Enabled }}
|
||||
<tr>
|
||||
<td align="center" style="padding:8px 16px 8px">
|
||||
<p style="margin:0 0 8px;font-size:12px;color:#999;line-height:1.5">
|
||||
<a href="https://signoz.io/terms-of-service/" style="color:#4E74F8;text-decoration:none">Terms of Service</a> - <a href="https://signoz.io/privacy/" style="color:#4E74F8;text-decoration:none">Privacy Policy</a>
|
||||
</p>
|
||||
<p style="margin:0;font-size:12px;color:#999;line-height:1.5">
|
||||
© 2026 SigNoz Inc.
|
||||
</p>
|
||||
</td>
|
||||
</tr>
|
||||
{{ end }}
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
13
templates/email/reset_password_email.gotmpl
Normal file
13
templates/email/reset_password_email.gotmpl
Normal file
@@ -0,0 +1,13 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<body>
|
||||
<p>Hello {{.Name}},</p>
|
||||
<p>You requested a password reset for your SigNoz account.</p>
|
||||
<p>Click the link below to reset your password:</p>
|
||||
<a href="{{.Link}}">Reset Password</a>
|
||||
<p>This link will expire in {{.Expiry}}.</p>
|
||||
<p>If you didn't request this, please ignore this email. Your password will remain unchanged.</p>
|
||||
<br>
|
||||
<p>Best regards,<br>The SigNoz Team</p>
|
||||
</body>
|
||||
</html>
|
||||
21
templates/email/update_role.gotmpl
Normal file
21
templates/email/update_role.gotmpl
Normal file
@@ -0,0 +1,21 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<body>
|
||||
Hi {{.CustomerName}},<br>
|
||||
Your role in <strong>SigNoz</strong> has been updated by {{.UpdatedByEmail}}.
|
||||
<p>
|
||||
<strong>Previous Role:</strong> {{.OldRole}}<br>
|
||||
<strong>New Role:</strong> {{.NewRole}}
|
||||
</p>
|
||||
{{if eq .OldRole "Admin"}}
|
||||
<p>
|
||||
If you were not expecting this change or have any questions, please contact us at <a href="mailto:support@signoz.io">support@signoz.io</a>.
|
||||
</p>
|
||||
{{else}}
|
||||
<p>
|
||||
If you were not expecting this change or have any questions, please reach out to your administrator.
|
||||
</p>
|
||||
{{end}}
|
||||
<p>Best regards,<br>The SigNoz Team</p>
|
||||
</body>
|
||||
</html>
|
||||
@@ -112,7 +112,7 @@ def verify_webhook_alert_expectation(
|
||||
break
|
||||
|
||||
# wait for some time before checking again
|
||||
time.sleep(1)
|
||||
time.sleep(10)
|
||||
|
||||
# We've waited but we didn't get the expected number of alerts
|
||||
|
||||
@@ -133,15 +133,3 @@ 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]
|
||||
|
||||
@@ -1,18 +1,16 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, Optional
|
||||
from http import HTTPStatus
|
||||
|
||||
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.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
def create_cloud_integration_account(
|
||||
request: pytest.FixtureRequest,
|
||||
@@ -26,7 +24,9 @@ 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"]},
|
||||
@@ -59,7 +59,9 @@ 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}"},
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
|
||||
from http import HTTPStatus
|
||||
|
||||
import requests
|
||||
|
||||
@@ -43,10 +43,6 @@ 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
|
||||
|
||||
@@ -69,10 +69,6 @@ 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
|
||||
|
||||
@@ -191,15 +191,3 @@ 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
|
||||
|
||||
@@ -8,9 +8,6 @@ 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(
|
||||
@@ -23,7 +20,6 @@ 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()}"
|
||||
@@ -59,10 +55,10 @@ def test_webhook_notification_channel(
|
||||
)
|
||||
|
||||
# TODO: @abhishekhugetech # pylint: disable=W0511
|
||||
# Time required for newly created Org to be registered in the alertmanager is 5 seconds in signoz.py
|
||||
# Time required for Org to be registered
|
||||
# in the alertmanager, default 1m.
|
||||
# this will be fixed after [https://github.com/SigNoz/engineering-pod/issues/3800]
|
||||
# 10 seconds safe time for org to be registered in the alertmanager
|
||||
time.sleep(10)
|
||||
time.sleep(65)
|
||||
|
||||
# Call test API for the notification channel
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
@@ -1,671 +0,0 @@
|
||||
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,
|
||||
)
|
||||
@@ -1,6 +1,7 @@
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
@@ -20,9 +21,7 @@ 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 = {
|
||||
@@ -66,7 +65,9 @@ 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"]
|
||||
@@ -110,9 +111,7 @@ 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"]},
|
||||
|
||||
@@ -1,13 +1,17 @@
|
||||
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.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -36,9 +40,8 @@ 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(
|
||||
@@ -57,9 +60,7 @@ 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"
|
||||
@@ -86,6 +87,7 @@ 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
|
||||
@@ -161,16 +163,16 @@ 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),
|
||||
@@ -196,6 +198,7 @@ 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)
|
||||
@@ -210,6 +213,7 @@ 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
|
||||
@@ -226,9 +230,7 @@ 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 = (
|
||||
@@ -260,9 +262,8 @@ 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(
|
||||
@@ -276,7 +277,9 @@ 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),
|
||||
@@ -289,6 +292,7 @@ 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
|
||||
|
||||
@@ -1,13 +1,17 @@
|
||||
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.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -46,6 +50,7 @@ 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
|
||||
@@ -61,9 +66,7 @@ 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}"
|
||||
@@ -91,6 +94,7 @@ 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
|
||||
@@ -137,6 +141,7 @@ 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
|
||||
@@ -152,9 +157,7 @@ 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"
|
||||
@@ -193,6 +196,7 @@ 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
|
||||
@@ -216,6 +220,7 @@ 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
|
||||
@@ -238,6 +243,7 @@ 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
|
||||
@@ -253,9 +259,7 @@ 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"
|
||||
@@ -270,9 +274,7 @@ 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,
|
||||
@@ -304,6 +306,7 @@ 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
|
||||
@@ -326,9 +329,7 @@ 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 = {
|
||||
@@ -350,6 +351,7 @@ 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
|
||||
@@ -365,15 +367,11 @@ 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,
|
||||
@@ -394,6 +392,7 @@ 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
|
||||
@@ -409,9 +408,7 @@ 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"
|
||||
@@ -425,9 +422,7 @@ 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 random
|
||||
import os
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, List
|
||||
|
||||
import random
|
||||
from typing import Any, Callable, List
|
||||
import pytest
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,13 +21,8 @@ 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",
|
||||
@@ -44,7 +39,7 @@ 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)
|
||||
@@ -74,21 +69,22 @@ 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",
|
||||
@@ -165,26 +161,20 @@ 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 (
|
||||
@@ -192,9 +182,7 @@ 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
|
||||
@@ -205,16 +193,12 @@ 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}"
|
||||
@@ -236,16 +220,12 @@ 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}"
|
||||
@@ -272,7 +252,6 @@ 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",
|
||||
[
|
||||
@@ -288,7 +267,7 @@ 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)
|
||||
@@ -317,18 +296,21 @@ 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[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
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
|
||||
# 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",
|
||||
@@ -373,7 +355,6 @@ 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",
|
||||
[
|
||||
|
||||
@@ -1,15 +1,15 @@
|
||||
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"
|
||||
|
||||
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
def test_managed_roles_create_on_register(
|
||||
signoz: SigNoz,
|
||||
@@ -17,7 +17,7 @@ def test_managed_roles_create_on_register(
|
||||
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"),
|
||||
@@ -32,22 +32,18 @@ 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
|
||||
@@ -68,16 +64,14 @@ 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
|
||||
@@ -86,14 +80,15 @@ 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
|
||||
@@ -102,13 +97,13 @@ 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(
|
||||
@@ -120,16 +115,14 @@ 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
|
||||
@@ -138,14 +131,15 @@ 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
|
||||
@@ -153,3 +147,5 @@ 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
|
||||
|
||||
|
||||
@@ -1,16 +1,11 @@
|
||||
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
|
||||
|
||||
|
||||
@@ -21,7 +16,7 @@ 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,
|
||||
@@ -35,7 +30,7 @@ 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,
|
||||
@@ -45,7 +40,7 @@ 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
|
||||
@@ -58,6 +53,7 @@ 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"),
|
||||
@@ -83,11 +79,11 @@ 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
|
||||
@@ -97,6 +93,7 @@ def test_user_invite_accept_role_grant(
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_user_update_role_grant(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -125,7 +122,9 @@ 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,
|
||||
@@ -140,9 +139,7 @@ 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():
|
||||
@@ -155,15 +152,13 @@ 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"
|
||||
@@ -173,7 +168,6 @@ 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,
|
||||
@@ -211,12 +205,10 @@ 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:
|
||||
@@ -225,4 +217,4 @@ 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
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,83 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,70 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,58 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,58 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,20 +0,0 @@
|
||||
{ "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" } }
|
||||
@@ -1,68 +0,0 @@
|
||||
{
|
||||
"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": {
|
||||
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|
||||
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|
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|
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|
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|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -1,24 +0,0 @@
|
||||
{"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":{}}
|
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{"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":{}}
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{"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":{}}
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{"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":{}}
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{"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":{}}
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{"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":{}}
|
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{"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":{}}
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{"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":{}}
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{"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":{}}
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{"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":{}}
|
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{"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":{}}
|
||||
@@ -1,74 +0,0 @@
|
||||
{
|
||||
"alert": "threshold_above_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
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|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
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||||
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|
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},
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"compositeQuery": {
|
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|
||||
{
|
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"type": "builder_query",
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"spec": {
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"name": "A",
|
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"signal": "metrics",
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"groupBy": [
|
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{
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"name": "service",
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||||
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|
||||
"fieldContext": ""
|
||||
}
|
||||
],
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_above_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
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|
||||
}
|
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|
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|
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"kind": "rolling",
|
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"spec": {
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"evalWindow": "5m0s",
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||||
"frequency": "15s"
|
||||
}
|
||||
},
|
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"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": {
|
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"groupBy": [
|
||||
"service"
|
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],
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"usePolicy": false,
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"enabled": false,
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"interval": "30m",
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}
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},
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"version": "v5",
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||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
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||||
"selectedQueryName": "A"
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},
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"evaluation": {
|
||||
"kind": "rolling",
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||||
"spec": {
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||||
"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}})"
|
||||
},
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"notificationSettings": {
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"groupBy": [],
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"usePolicy": false,
|
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"renotify": {
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"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{ "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" }
|
||||
@@ -1,66 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,20 +0,0 @@
|
||||
{ "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" }
|
||||
@@ -1,66 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
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},
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
]
|
||||
}
|
||||
]
|
||||
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|
||||
"compositeQuery": {
|
||||
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|
||||
"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"
|
||||
}
|
||||
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|
||||
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|
||||
}
|
||||
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|
||||
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|
||||
"selectedQueryName": "A"
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||||
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|
||||
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|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
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|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
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|
||||
{"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":{}}
|
||||
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|
||||
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|
||||
{"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":{}}
|
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|
||||
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|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_at_least_once",
|
||||
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|
||||
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|
||||
"condition": {
|
||||
"thresholds": {
|
||||
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|
||||
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|
||||
{
|
||||
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|
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|
||||
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||||
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|
||||
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|
||||
"test channel"
|
||||
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||||
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|
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||||
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|
||||
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|
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|
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|
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|
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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"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}})"
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|
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|
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|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
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||||
"op": "4",
|
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"channels": [
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"test channel"
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"name": "A",
|
||||
"signal": "metrics",
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|
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{
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||||
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"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
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||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
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{"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":{}}
|
||||
@@ -1,65 +0,0 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_in_total",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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||||
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|
||||
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|
||||
@@ -1,12 +0,0 @@
|
||||
{"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":{}}
|
||||
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Reference in New Issue
Block a user