mirror of
https://github.com/SigNoz/signoz.git
synced 2026-02-14 21:32:04 +00:00
Compare commits
6 Commits
SIG_8931
...
fix-issues
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
6d282dfe68 | ||
|
|
4bbe5ead07 | ||
|
|
e36689ecba | ||
|
|
e3c04b378a | ||
|
|
2c948ef9f6 | ||
|
|
3c30114642 |
@@ -285,7 +285,6 @@ flagger:
|
||||
config:
|
||||
boolean:
|
||||
use_span_metrics: true
|
||||
interpolation_enabled: false
|
||||
kafka_span_eval: false
|
||||
string:
|
||||
float:
|
||||
|
||||
@@ -15,8 +15,6 @@ export const getKeySuggestions = (
|
||||
fieldContext = '',
|
||||
fieldDataType = '',
|
||||
signalSource = '',
|
||||
startUnixMilli = '',
|
||||
endUnixMilli = '',
|
||||
} = props;
|
||||
|
||||
const encodedSignal = encodeURIComponent(signal);
|
||||
@@ -26,14 +24,7 @@ export const getKeySuggestions = (
|
||||
const encodedFieldDataType = encodeURIComponent(fieldDataType);
|
||||
const encodedSource = encodeURIComponent(signalSource);
|
||||
|
||||
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);
|
||||
return axios.get(
|
||||
`/fields/keys?signal=${encodedSignal}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&fieldContext=${encodedFieldContext}&fieldDataType=${encodedFieldDataType}&source=${encodedSource}`,
|
||||
);
|
||||
};
|
||||
|
||||
@@ -8,16 +8,7 @@ import {
|
||||
export const getValueSuggestions = (
|
||||
props: QueryKeyValueRequestProps,
|
||||
): Promise<AxiosResponse<QueryKeyValueSuggestionsResponseProps>> => {
|
||||
const {
|
||||
signal,
|
||||
key,
|
||||
searchText,
|
||||
signalSource,
|
||||
metricName,
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
} = props;
|
||||
const { signal, key, searchText, signalSource, metricName } = props;
|
||||
|
||||
const encodedSignal = encodeURIComponent(signal);
|
||||
const encodedKey = encodeURIComponent(key);
|
||||
@@ -25,17 +16,7 @@ export const getValueSuggestions = (
|
||||
const encodedSearchText = encodeURIComponent(searchText);
|
||||
const encodedSource = encodeURIComponent(signalSource || '');
|
||||
|
||||
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);
|
||||
return axios.get(
|
||||
`/fields/values?signal=${encodedSignal}&name=${encodedKey}&searchText=${encodedSearchText}&metricName=${encodedMetricName}&source=${encodedSource}`,
|
||||
);
|
||||
};
|
||||
|
||||
@@ -1,12 +1,9 @@
|
||||
import { useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { useEffect, 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';
|
||||
|
||||
@@ -37,35 +34,13 @@ 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,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
],
|
||||
queryKey: ['orderByKeySuggestions', dataSource, debouncedInput],
|
||||
queryFn: async () => {
|
||||
const response = await getKeySuggestions({
|
||||
signal: dataSource,
|
||||
searchText: debouncedInput,
|
||||
startUnixMilli: timeRange.startUnixMilli,
|
||||
endUnixMilli: timeRange.endUnixMilli,
|
||||
});
|
||||
return response.data;
|
||||
},
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
/* 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,
|
||||
@@ -34,8 +33,6 @@ 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,
|
||||
@@ -44,7 +41,6 @@ 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,
|
||||
@@ -116,20 +112,6 @@ 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);
|
||||
@@ -288,9 +270,8 @@ 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);
|
||||
@@ -320,8 +301,6 @@ function QuerySearch({
|
||||
queryData.aggregateAttribute?.key,
|
||||
signalSource,
|
||||
hardcodedAttributeKeys,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
],
|
||||
);
|
||||
|
||||
@@ -334,12 +313,7 @@ function QuerySearch({
|
||||
setKeySuggestions([]);
|
||||
debouncedFetchKeySuggestions();
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [
|
||||
dataSource,
|
||||
debouncedMetricName,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
]);
|
||||
}, [dataSource, debouncedMetricName]);
|
||||
|
||||
// Add a state for tracking editing mode
|
||||
const [editingMode, setEditingMode] = useState<
|
||||
@@ -457,7 +431,6 @@ function QuerySearch({
|
||||
}
|
||||
|
||||
const sanitizedSearchText = searchText ? searchText?.trim() : '';
|
||||
const existingQuery = queryData.filter?.expression || '';
|
||||
|
||||
try {
|
||||
const response = await getValueSuggestions({
|
||||
@@ -466,10 +439,9 @@ function QuerySearch({
|
||||
signal: dataSource,
|
||||
signalSource: signalSource as 'meter' | '',
|
||||
metricName: debouncedMetricName ?? undefined,
|
||||
startUnixMilli: timeRange.startUnixMilli,
|
||||
endUnixMilli: timeRange.endUnixMilli,
|
||||
existingQuery,
|
||||
}); // Skip updates if component unmounted or key changed
|
||||
});
|
||||
|
||||
// Skip updates if component unmounted or key changed
|
||||
if (
|
||||
!isMountedRef.current ||
|
||||
lastKeyRef.current !== key ||
|
||||
@@ -481,10 +453,10 @@ function QuerySearch({
|
||||
// Process the response data
|
||||
const responseData = response.data as any;
|
||||
const values = responseData.data?.values || {};
|
||||
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 stringValues = 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(
|
||||
@@ -556,14 +528,11 @@ function QuerySearch({
|
||||
},
|
||||
[
|
||||
activeKey,
|
||||
isLoadingSuggestions,
|
||||
queryData.filter?.expression,
|
||||
toggleSuggestions,
|
||||
dataSource,
|
||||
signalSource,
|
||||
isLoadingSuggestions,
|
||||
debouncedMetricName,
|
||||
timeRange.startUnixMilli,
|
||||
timeRange.endUnixMilli,
|
||||
signalSource,
|
||||
toggleSuggestions,
|
||||
],
|
||||
);
|
||||
|
||||
@@ -1280,17 +1249,19 @@ function QuerySearch({
|
||||
if (!queryContext) {
|
||||
return;
|
||||
}
|
||||
// Only trigger suggestions and fetch if editor is focused (i.e., user is interacting)
|
||||
if (isFocused && editorRef.current) {
|
||||
// Trigger suggestions based on context
|
||||
if (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 });
|
||||
}
|
||||
}
|
||||
}, [
|
||||
@@ -1299,7 +1270,6 @@ function QuerySearch({
|
||||
isLoadingSuggestions,
|
||||
activeKey,
|
||||
fetchValueSuggestions,
|
||||
isFocused,
|
||||
]);
|
||||
|
||||
const getTooltipContent = (): JSX.Element => (
|
||||
|
||||
@@ -138,93 +138,6 @@
|
||||
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;
|
||||
|
||||
@@ -2,16 +2,8 @@
|
||||
/* 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,
|
||||
useCallback,
|
||||
useEffect,
|
||||
useMemo,
|
||||
useRef,
|
||||
useState,
|
||||
} from 'react';
|
||||
import { useSelector } from 'react-redux';
|
||||
import { Button, Checkbox, Input, InputRef, Skeleton, Typography } from 'antd';
|
||||
import { Fragment, useMemo, useState } from 'react';
|
||||
import { Button, Checkbox, Input, Skeleton, Typography } from 'antd';
|
||||
import cx from 'classnames';
|
||||
import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
|
||||
import {
|
||||
@@ -19,18 +11,21 @@ import {
|
||||
QuickFiltersSource,
|
||||
} from 'components/QuickFilters/types';
|
||||
import { OPERATORS } from 'constants/antlrQueryConstants';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import {
|
||||
DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY,
|
||||
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 { AlertTriangle, ChevronDown, ChevronRight } from 'lucide-react';
|
||||
import { AppState } from 'store/reducers';
|
||||
import { ChevronDown, ChevronRight } from 'lucide-react';
|
||||
import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
|
||||
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';
|
||||
@@ -73,15 +68,6 @@ 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
|
||||
@@ -95,12 +81,6 @@ 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(
|
||||
() =>
|
||||
@@ -132,120 +112,47 @@ 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: source === QuickFiltersSource.METER_EXPLORER ? 'meter' : '',
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
searchText: searchText || '',
|
||||
existingQuery: currentFilterExpression,
|
||||
signalSource: 'meter',
|
||||
options: {
|
||||
enabled: isOpen,
|
||||
enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
|
||||
keepPreviousData: true,
|
||||
},
|
||||
});
|
||||
|
||||
const searchInputRef = useRef<InputRef | null>(null);
|
||||
const searchContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const previousFiltersItemsRef = useRef(
|
||||
currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items,
|
||||
);
|
||||
|
||||
// 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;
|
||||
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
|
||||
if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
|
||||
// Process the response data
|
||||
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 = valuesToUse
|
||||
const stringOptions = stringValues
|
||||
// Strict filtering for empty string - we'll handle it as a special case if needed
|
||||
.filter(
|
||||
(value: string | null | undefined): value is string =>
|
||||
@@ -260,26 +167,15 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
)
|
||||
.map((value: number) => value.toString());
|
||||
|
||||
// Combine checked values with previously visible unchecked values
|
||||
let finalValues = [...stringOptions, ...numberOptions];
|
||||
|
||||
// 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;
|
||||
// Combine all options and make sure we don't have duplicate labels
|
||||
return [...stringOptions, ...numberOptions];
|
||||
}
|
||||
return [];
|
||||
}, [keyValueSuggestions]);
|
||||
|
||||
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]);
|
||||
|
||||
const setSearchTextDebounced = useDebouncedFn((...args) => {
|
||||
setSearchText(args[0] as string);
|
||||
@@ -353,27 +249,23 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
const isMultipleValuesTrueForTheKey =
|
||||
Object.values(currentFilterState).filter((val) => val).length > 1;
|
||||
|
||||
// Sort checked items to the top; always show unchecked items beneath, regardless of pagination
|
||||
const {
|
||||
visibleCheckedValues,
|
||||
uncheckedValues,
|
||||
visibleCheckedCount,
|
||||
hasMoreChecked,
|
||||
} = useMemo(() => {
|
||||
// Sort checked items to the top, then unchecked items
|
||||
const currentAttributeKeys = useMemo(() => {
|
||||
const checkedValues = attributeValues.filter(
|
||||
(val) => currentFilterState[val],
|
||||
);
|
||||
const unchecked = attributeValues.filter((val) => !currentFilterState[val]);
|
||||
const visibleChecked = checkedValues.slice(0, visibleItemsCount);
|
||||
|
||||
return {
|
||||
visibleCheckedValues: visibleChecked,
|
||||
uncheckedValues: unchecked,
|
||||
visibleCheckedCount: visibleChecked.length,
|
||||
hasMoreChecked: checkedValues.length > visibleChecked.length,
|
||||
};
|
||||
const uncheckedValues = attributeValues.filter(
|
||||
(val) => !currentFilterState[val],
|
||||
);
|
||||
return [...checkedValues, ...uncheckedValues].slice(0, visibleItemsCount);
|
||||
}, [attributeValues, currentFilterState, visibleItemsCount]);
|
||||
|
||||
// Count of checked values in the currently visible items
|
||||
const checkedValuesCount = useMemo(
|
||||
() => currentAttributeKeys.filter((val) => currentFilterState[val]).length,
|
||||
[currentAttributeKeys, currentFilterState],
|
||||
);
|
||||
|
||||
const handleClearFilterAttribute = (): void => {
|
||||
const preparedQuery: Query = {
|
||||
...currentQuery,
|
||||
@@ -701,90 +593,35 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
)}
|
||||
</section>
|
||||
</section>
|
||||
{isOpen && isLoadingKeyValueSuggestions && !attributeValues.length && (
|
||||
<section className="loading">
|
||||
<Skeleton paragraph={{ rows: 4 }} />
|
||||
</section>
|
||||
)}
|
||||
{isOpen && !isLoadingKeyValueSuggestions && (
|
||||
{isOpen &&
|
||||
(isLoading || isLoadingKeyValueSuggestions) &&
|
||||
!attributeValues.length && (
|
||||
<section className="loading">
|
||||
<Skeleton paragraph={{ rows: 4 }} />
|
||||
</section>
|
||||
)}
|
||||
{isOpen && !isLoading && !isLoadingKeyValueSuggestions && (
|
||||
<>
|
||||
{!isEmptyStateWithDocsEnabled && (
|
||||
<section className="search" ref={searchContainerRef}>
|
||||
<section className="search">
|
||||
<Input
|
||||
placeholder="Filter values"
|
||||
onChange={(e): void => setSearchTextDebounced(e.target.value)}
|
||||
disabled={isFilterDisabled}
|
||||
ref={searchInputRef}
|
||||
/>
|
||||
</section>
|
||||
)}
|
||||
{attributeValues.length > 0 ? (
|
||||
<section className="values">
|
||||
{visibleCheckedValues.map((value: string) => (
|
||||
{currentAttributeKeys.map((value: string, index: number) => (
|
||||
<Fragment key={value}>
|
||||
<div className="value">
|
||||
<Checkbox
|
||||
onChange={(e): void => onChange(value, e.target.checked, false)}
|
||||
checked={currentFilterState[value]}
|
||||
disabled={isFilterDisabled}
|
||||
rootClassName="check-box"
|
||||
/>
|
||||
|
||||
{index === checkedValuesCount && checkedValuesCount > 0 && (
|
||||
<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}>
|
||||
key="separator"
|
||||
className="filter-separator"
|
||||
data-testid="filter-separator"
|
||||
/>
|
||||
)}
|
||||
<div className="value">
|
||||
<Checkbox
|
||||
onChange={(e): void => onChange(value, e.target.checked, false)}
|
||||
@@ -844,18 +681,16 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
|
||||
<Typography.Text>No values found</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>
|
||||
)}
|
||||
{visibleItemsCount < attributeValues?.length && (
|
||||
<section className="show-more">
|
||||
<Typography.Text
|
||||
className="show-more-text"
|
||||
onClick={(): void => setVisibleItemsCount((prev) => prev + 10)}
|
||||
>
|
||||
Show More...
|
||||
</Typography.Text>
|
||||
</section>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -282,11 +282,11 @@ export default function QuickFilters(props: IQuickFiltersProps): JSX.Element {
|
||||
size="small"
|
||||
style={{ marginLeft: 'auto' }}
|
||||
checked={showIP ?? true}
|
||||
onClick={(): void => {
|
||||
onChange={(checked): void => {
|
||||
logEvent('API Monitoring: Show IP addresses clicked', {
|
||||
showIP: !(showIP ?? true),
|
||||
showIP: checked,
|
||||
});
|
||||
setParams({ showIP });
|
||||
setParams({ showIP: checked });
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
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,
|
||||
@@ -19,22 +22,23 @@ import { QuickFiltersConfig } from './constants';
|
||||
jest.mock('hooks/queryBuilder/useQueryBuilder', () => ({
|
||||
useQueryBuilder: jest.fn(),
|
||||
}));
|
||||
|
||||
jest.mock('hooks/querySuggestions/useGetQueryKeyValueSuggestions');
|
||||
jest.mock('container/ApiMonitoring/queryParams');
|
||||
|
||||
const handleFilterVisibilityChange = jest.fn();
|
||||
const redirectWithQueryBuilderData = jest.fn();
|
||||
const putHandler = jest.fn();
|
||||
|
||||
const mockUseGetQueryKeyValueSuggestions = jest.mocked(
|
||||
useGetQueryKeyValueSuggestions,
|
||||
);
|
||||
const mockSetApiMonitoringParams = jest.fn() as jest.MockedFunction<
|
||||
(newParams: Partial<ApiMonitoringParams>, replace?: boolean) => void
|
||||
>;
|
||||
const mockUseApiMonitoringParams = jest.mocked(useApiMonitoringParams);
|
||||
|
||||
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';
|
||||
@@ -58,7 +62,10 @@ const setupServer = (): void => {
|
||||
putHandler(await req.json());
|
||||
return res(ctx.status(200), ctx.json({}));
|
||||
}),
|
||||
rest.get('*/api/v1/fields/values*', (_req, res, ctx) =>
|
||||
rest.get(quickFiltersAttributeValuesURL, (_req, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(quickFiltersAttributeValuesResponse)),
|
||||
),
|
||||
rest.get(fieldsValuesURL, (_req, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(quickFiltersAttributeValuesResponse)),
|
||||
),
|
||||
);
|
||||
@@ -86,6 +93,28 @@ 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();
|
||||
});
|
||||
@@ -106,24 +135,18 @@ beforeEach(() => {
|
||||
queryData: [
|
||||
{
|
||||
queryName: QUERY_NAME,
|
||||
filters: { items: [], op: 'AND' },
|
||||
filter: { expression: '' },
|
||||
filters: { items: [{ key: 'test', value: 'value' }] },
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
lastUsedQuery: 0,
|
||||
panelType: 'logs',
|
||||
redirectWithQueryBuilderData,
|
||||
});
|
||||
|
||||
// Mock the hook to return data with mq-kafka
|
||||
mockUseGetQueryKeyValueSuggestions.mockReturnValue({
|
||||
data: quickFiltersAttributeValuesResponse,
|
||||
isLoading: false,
|
||||
refetch: jest.fn(),
|
||||
} as any);
|
||||
|
||||
mockUseApiMonitoringParams.mockReturnValue([
|
||||
{ showIP: true } as ApiMonitoringParams,
|
||||
mockSetApiMonitoringParams,
|
||||
]);
|
||||
setupServer();
|
||||
});
|
||||
|
||||
@@ -236,9 +259,8 @@ describe('Quick Filters', () => {
|
||||
|
||||
render(<TestQuickFilters />);
|
||||
|
||||
// Wait for the filter to load with data
|
||||
const target = await screen.findByText('mq-kafka', {}, { timeout: 5000 });
|
||||
|
||||
// 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');
|
||||
await user.click(target);
|
||||
|
||||
await waitFor(() => {
|
||||
@@ -264,6 +286,24 @@ 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', () => {
|
||||
|
||||
@@ -0,0 +1,45 @@
|
||||
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>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,116 @@
|
||||
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;
|
||||
}
|
||||
@@ -0,0 +1,125 @@
|
||||
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;
|
||||
}
|
||||
@@ -0,0 +1,160 @@
|
||||
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;
|
||||
@@ -0,0 +1,108 @@
|
||||
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 { Widgets } from 'types/api/dashboard/getAll';
|
||||
import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
|
||||
import { Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { QueryData } from 'types/api/widgets/getQuery';
|
||||
import { AlignedData } from 'uplot';
|
||||
|
||||
import { PanelMode } from '../types';
|
||||
import { fillMissingXAxisTimestamps, getXAxisTimestamps } from '../utils';
|
||||
import { buildBaseConfig } from '../utils/baseConfigBuilder';
|
||||
|
||||
export function prepareBarPanelData(
|
||||
apiResponse: MetricRangePayloadProps,
|
||||
): AlignedData {
|
||||
const seriesList = apiResponse?.data?.result || [];
|
||||
const timestampArr = getXAxisTimestamps(seriesList);
|
||||
const yAxisValuesArr = fillMissingXAxisTimestamps(timestampArr, seriesList);
|
||||
return [timestampArr, ...yAxisValuesArr];
|
||||
}
|
||||
|
||||
export function prepareBarPanelConfig({
|
||||
widget,
|
||||
isDarkMode,
|
||||
currentQuery,
|
||||
onClick,
|
||||
onDragSelect,
|
||||
apiResponse,
|
||||
timezone,
|
||||
panelMode,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
}: {
|
||||
widget: Widgets;
|
||||
isDarkMode: boolean;
|
||||
currentQuery: Query;
|
||||
onClick: OnClickPluginOpts['onClick'];
|
||||
onDragSelect: (startTime: number, endTime: number) => void;
|
||||
apiResponse: MetricRangePayloadProps;
|
||||
timezone: Timezone;
|
||||
panelMode: PanelMode;
|
||||
minTimeScale?: number;
|
||||
maxTimeScale?: number;
|
||||
}): UPlotConfigBuilder {
|
||||
const builder = buildBaseConfig({
|
||||
widget,
|
||||
isDarkMode,
|
||||
onClick,
|
||||
onDragSelect,
|
||||
apiResponse,
|
||||
timezone,
|
||||
panelMode,
|
||||
panelType: PANEL_TYPES.BAR,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
});
|
||||
|
||||
builder.setCursor({
|
||||
focus: {
|
||||
prox: 1e3,
|
||||
},
|
||||
});
|
||||
|
||||
if (widget.stackedBarChart) {
|
||||
const seriesCount = (apiResponse?.data?.result?.length ?? 0) + 1; // +1 for 1-based uPlot series indices
|
||||
builder.setBands(getInitialStackedBands(seriesCount));
|
||||
}
|
||||
|
||||
const seriesList: QueryData[] = apiResponse?.data?.result || [];
|
||||
seriesList.forEach((series) => {
|
||||
const baseLabelName = getLabelName(
|
||||
series.metric,
|
||||
series.queryName || '', // query
|
||||
series.legend || '',
|
||||
);
|
||||
|
||||
const label = currentQuery
|
||||
? getLegend(series, currentQuery, baseLabelName)
|
||||
: baseLabelName;
|
||||
|
||||
builder.addSeries({
|
||||
scaleKey: 'y',
|
||||
drawStyle: DrawStyle.Bar,
|
||||
panelType: PANEL_TYPES.BAR,
|
||||
label: label,
|
||||
colorMapping: widget.customLegendColors ?? {},
|
||||
spanGaps: false,
|
||||
lineStyle: LineStyle.Solid,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
showPoints: VisibilityMode.Never,
|
||||
pointSize: 5,
|
||||
isDarkMode,
|
||||
});
|
||||
});
|
||||
|
||||
return builder;
|
||||
}
|
||||
@@ -9,9 +9,6 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
searchText,
|
||||
signalSource,
|
||||
metricName,
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
options,
|
||||
}: {
|
||||
key: string;
|
||||
@@ -23,9 +20,6 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
AxiosError
|
||||
>;
|
||||
metricName?: string;
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
existingQuery?: string;
|
||||
}): UseQueryResult<
|
||||
AxiosResponse<QueryKeyValueSuggestionsResponseProps>,
|
||||
AxiosError
|
||||
@@ -46,9 +40,6 @@ export const useGetQueryKeyValueSuggestions = ({
|
||||
searchText: searchText || '',
|
||||
signalSource: signalSource as 'meter' | '',
|
||||
metricName: metricName || '',
|
||||
startUnixMilli,
|
||||
endUnixMilli,
|
||||
existingQuery,
|
||||
}),
|
||||
...options,
|
||||
});
|
||||
|
||||
61
frontend/src/hooks/useCopyToClipboard.ts
Normal file
61
frontend/src/hooks/useCopyToClipboard.ts
Normal file
@@ -0,0 +1,61 @@
|
||||
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,
|
||||
};
|
||||
}
|
||||
@@ -128,6 +128,15 @@
|
||||
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%;
|
||||
@@ -157,10 +166,34 @@
|
||||
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;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -172,4 +205,17 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.legend-item {
|
||||
&:hover {
|
||||
background: rgba(0, 0, 0, 0.05);
|
||||
}
|
||||
.legend-copy-button {
|
||||
color: var(--bg-ink-400);
|
||||
|
||||
&:hover {
|
||||
color: var(--bg-ink-500);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,8 +2,10 @@ 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';
|
||||
@@ -32,6 +34,7 @@ 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,
|
||||
@@ -59,26 +62,53 @@ 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 => (
|
||||
<AntdTooltip key={item.seriesIndex} title={item.label}>
|
||||
(item: LegendItem): JSX.Element => {
|
||||
const isCopied = copiedId === item.seriesIndex;
|
||||
return (
|
||||
<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,
|
||||
})}
|
||||
>
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
<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>
|
||||
</AntdTooltip>
|
||||
),
|
||||
[focusedSeriesIndex, position],
|
||||
);
|
||||
},
|
||||
[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
|
||||
);
|
||||
|
||||
const isEmptyState = useMemo(() => {
|
||||
|
||||
@@ -0,0 +1,31 @@
|
||||
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} />;
|
||||
}
|
||||
@@ -25,16 +25,28 @@ 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;
|
||||
if (isStackedBarChart && index + 1 < data.length && baseValue !== null) {
|
||||
const nextValue = data[index + 1][dataIndex] ?? null;
|
||||
if (nextValue !== 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;
|
||||
baseValue = baseValue - nextValue;
|
||||
}
|
||||
}
|
||||
@@ -80,6 +92,7 @@ export function buildTooltipContent({
|
||||
index,
|
||||
dataIndex,
|
||||
isStackedBarChart,
|
||||
series,
|
||||
});
|
||||
|
||||
const isActive = index === activeSeriesIndex;
|
||||
|
||||
@@ -1,5 +1,11 @@
|
||||
import React from 'react';
|
||||
import { render, RenderResult, screen } from '@testing-library/react';
|
||||
import {
|
||||
fireEvent,
|
||||
render,
|
||||
RenderResult,
|
||||
screen,
|
||||
within,
|
||||
} 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';
|
||||
@@ -8,6 +14,9 @@ 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,
|
||||
@@ -39,6 +48,15 @@ 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,
|
||||
@@ -70,6 +88,11 @@ 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,
|
||||
@@ -86,6 +109,7 @@ describe('Legend', () => {
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
clipboardSpy?.mockRestore();
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
@@ -210,4 +234,47 @@ 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();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,8 +1,10 @@
|
||||
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,
|
||||
@@ -43,18 +45,13 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
}
|
||||
|
||||
private buildLineConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
resolvedLineColor,
|
||||
}: {
|
||||
lineColor: string;
|
||||
lineWidth?: number;
|
||||
lineStyle?: LineStyle;
|
||||
lineCap?: Series.Cap;
|
||||
resolvedLineColor: string;
|
||||
}): Partial<Series> {
|
||||
const { lineWidth, lineStyle, lineCap } = this.props;
|
||||
const lineConfig: Partial<Series> = {
|
||||
stroke: lineColor,
|
||||
stroke: resolvedLineColor,
|
||||
width: lineWidth ?? 2,
|
||||
};
|
||||
|
||||
@@ -65,21 +62,26 @@ 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({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
}: {
|
||||
pathBuilder?: Series.PathBuilder | null;
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
}): Partial<Series> {
|
||||
private buildPathConfig(): Partial<Series> {
|
||||
const {
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
} = this.props;
|
||||
if (pathBuilder) {
|
||||
return { paths: pathBuilder };
|
||||
}
|
||||
@@ -96,7 +98,13 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
idx0: number,
|
||||
idx1: number,
|
||||
): Series.Paths | null => {
|
||||
const pathsBuilder = getPathBuilder(drawStyle, lineInterpolation);
|
||||
const pathsBuilder = getPathBuilder({
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment,
|
||||
barMaxWidth,
|
||||
barWidthFactor,
|
||||
});
|
||||
|
||||
return pathsBuilder(self, seriesIdx, idx0, idx1);
|
||||
},
|
||||
@@ -110,25 +118,21 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
* Build points configuration
|
||||
*/
|
||||
private buildPointsConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
resolvedLineColor,
|
||||
}: {
|
||||
lineColor: string;
|
||||
lineWidth?: number;
|
||||
pointSize?: number;
|
||||
pointsBuilder: Series.Points.Show | null;
|
||||
pointsFilter: Series.Points.Filter | null;
|
||||
drawStyle: DrawStyle;
|
||||
showPoints?: VisibilityMode;
|
||||
resolvedLineColor: string;
|
||||
}): Partial<Series.Points> {
|
||||
const {
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
} = this.props;
|
||||
const pointsConfig: Partial<Series.Points> = {
|
||||
stroke: lineColor,
|
||||
fill: lineColor,
|
||||
stroke: resolvedLineColor,
|
||||
fill: resolvedLineColor,
|
||||
size: !pointSize || pointSize < (lineWidth ?? 2) ? undefined : pointSize,
|
||||
filter: pointsFilter || undefined,
|
||||
};
|
||||
@@ -162,44 +166,16 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
}
|
||||
|
||||
getConfig(): Series {
|
||||
const {
|
||||
drawStyle,
|
||||
pathBuilder,
|
||||
pointsBuilder,
|
||||
pointsFilter,
|
||||
lineInterpolation,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
showPoints,
|
||||
pointSize,
|
||||
scaleKey,
|
||||
label,
|
||||
spanGaps,
|
||||
show = true,
|
||||
} = this.props;
|
||||
const { scaleKey, label, spanGaps, show = true } = this.props;
|
||||
|
||||
const lineColor = this.getLineColor();
|
||||
const resolvedLineColor = this.getLineColor();
|
||||
|
||||
const lineConfig = this.buildLineConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
lineStyle,
|
||||
lineCap,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig({
|
||||
pathBuilder,
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
resolvedLineColor,
|
||||
});
|
||||
const pathConfig = this.buildPathConfig();
|
||||
const pointsConfig = this.buildPointsConfig({
|
||||
lineColor,
|
||||
lineWidth,
|
||||
pointSize,
|
||||
pointsBuilder: pointsBuilder ?? null,
|
||||
pointsFilter: pointsFilter ?? null,
|
||||
drawStyle,
|
||||
showPoints,
|
||||
resolvedLineColor,
|
||||
});
|
||||
|
||||
return {
|
||||
@@ -227,15 +203,36 @@ interface PathBuilders {
|
||||
/**
|
||||
* Get path builder based on draw style and interpolation
|
||||
*/
|
||||
function getPathBuilder(
|
||||
style: DrawStyle,
|
||||
lineInterpolation?: LineInterpolation,
|
||||
): Series.PathBuilder {
|
||||
function getPathBuilder({
|
||||
drawStyle,
|
||||
lineInterpolation,
|
||||
barAlignment = BarAlignment.Center,
|
||||
barWidthFactor = 0.6,
|
||||
barMaxWidth = 200,
|
||||
}: {
|
||||
drawStyle: DrawStyle;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
barAlignment?: BarAlignment;
|
||||
barMaxWidth?: number;
|
||||
barWidthFactor?: number;
|
||||
}): Series.PathBuilder {
|
||||
if (!builders) {
|
||||
throw new Error('Required uPlot path builders are not available');
|
||||
}
|
||||
|
||||
if (style === DrawStyle.Line) {
|
||||
if (drawStyle === DrawStyle.Bar) {
|
||||
const pathBuilders = uPlot.paths;
|
||||
const barsConfigKey = `bars|${barAlignment}|${barWidthFactor}|${barMaxWidth}`;
|
||||
if (!builders[barsConfigKey] && pathBuilders.bars) {
|
||||
builders[barsConfigKey] = pathBuilders.bars({
|
||||
size: [barWidthFactor, barMaxWidth],
|
||||
align: barAlignment,
|
||||
});
|
||||
}
|
||||
return builders[barsConfigKey];
|
||||
}
|
||||
|
||||
if (drawStyle === DrawStyle.Line) {
|
||||
if (lineInterpolation === LineInterpolation.StepBefore) {
|
||||
return builders.stepBefore;
|
||||
}
|
||||
|
||||
@@ -126,7 +126,45 @@ export enum VisibilityMode {
|
||||
Never = 'never',
|
||||
}
|
||||
|
||||
export interface SeriesProps {
|
||||
/**
|
||||
* 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 {
|
||||
scaleKey: string;
|
||||
label?: string;
|
||||
panelType: PANEL_TYPES;
|
||||
@@ -137,20 +175,7 @@ export interface SeriesProps {
|
||||
pointsBuilder?: Series.Points.Show;
|
||||
show?: boolean;
|
||||
spanGaps?: boolean;
|
||||
|
||||
isDarkMode?: boolean;
|
||||
|
||||
// Line config
|
||||
lineColor?: string;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
lineStyle?: LineStyle;
|
||||
lineWidth?: number;
|
||||
lineCap?: Series.Cap;
|
||||
|
||||
// Points config
|
||||
pointColor?: string;
|
||||
pointSize?: number;
|
||||
showPoints?: VisibilityMode;
|
||||
}
|
||||
|
||||
export interface LegendItem {
|
||||
|
||||
@@ -118,13 +118,13 @@ export const otherFiltersResponse = {
|
||||
export const quickFiltersAttributeValuesResponse = {
|
||||
status: 'success',
|
||||
data: {
|
||||
data: {
|
||||
values: {
|
||||
relatedValues: ['mq-kafka', 'otel-demo', 'otlp-python', 'sample-flask'],
|
||||
stringValues: ['mq-kafka', 'otel-demo', 'otlp-python', 'sample-flask'],
|
||||
numberValues: [],
|
||||
},
|
||||
complete: true,
|
||||
},
|
||||
stringAttributeValues: [
|
||||
'mq-kafka',
|
||||
'otel-demo',
|
||||
'otlp-python',
|
||||
'sample-flask',
|
||||
],
|
||||
numberAttributeValues: null,
|
||||
boolAttributeValues: null,
|
||||
},
|
||||
};
|
||||
|
||||
@@ -29,8 +29,6 @@ export interface QueryKeyRequestProps {
|
||||
fieldDataType?: QUERY_BUILDER_KEY_TYPES;
|
||||
metricName?: string;
|
||||
signalSource?: 'meter' | '';
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
}
|
||||
|
||||
export interface QueryKeyValueSuggestionsProps {
|
||||
@@ -49,9 +47,6 @@ export interface QueryKeyValueRequestProps {
|
||||
searchText: string;
|
||||
signalSource?: 'meter' | '';
|
||||
metricName?: string;
|
||||
startUnixMilli?: number;
|
||||
endUnixMilli?: number;
|
||||
existingQuery?: string;
|
||||
}
|
||||
|
||||
export type SignalType = 'traces' | 'logs' | 'metrics';
|
||||
|
||||
@@ -3,9 +3,8 @@ package flagger
|
||||
import "github.com/SigNoz/signoz/pkg/types/featuretypes"
|
||||
|
||||
var (
|
||||
FeatureUseSpanMetrics = featuretypes.MustNewName("use_span_metrics")
|
||||
FeatureInterpolationEnabled = featuretypes.MustNewName("interpolation_enabled")
|
||||
FeatureKafkaSpanEval = featuretypes.MustNewName("kafka_span_eval")
|
||||
FeatureUseSpanMetrics = featuretypes.MustNewName("use_span_metrics")
|
||||
FeatureKafkaSpanEval = featuretypes.MustNewName("kafka_span_eval")
|
||||
)
|
||||
|
||||
func MustNewRegistry() featuretypes.Registry {
|
||||
@@ -18,14 +17,6 @@ func MustNewRegistry() featuretypes.Registry {
|
||||
DefaultVariant: featuretypes.MustNewName("disabled"),
|
||||
Variants: featuretypes.NewBooleanVariants(),
|
||||
},
|
||||
&featuretypes.Feature{
|
||||
Name: FeatureInterpolationEnabled,
|
||||
Kind: featuretypes.KindBoolean,
|
||||
Stage: featuretypes.StageExperimental,
|
||||
Description: "Controls whether to enable interpolation",
|
||||
DefaultVariant: featuretypes.MustNewName("disabled"),
|
||||
Variants: featuretypes.NewBooleanVariants(),
|
||||
},
|
||||
&featuretypes.Feature{
|
||||
Name: FeatureKafkaSpanEval,
|
||||
Kind: featuretypes.KindBoolean,
|
||||
|
||||
@@ -483,6 +483,22 @@ func (v *filterExpressionVisitor) VisitComparison(ctx *grammar.ComparisonContext
|
||||
value1 := v.Visit(values[0])
|
||||
value2 := v.Visit(values[1])
|
||||
|
||||
switch value1.(type) {
|
||||
case float64:
|
||||
if _, ok := value2.(float64); !ok {
|
||||
v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: expected number for both operands", keys[0].Name))
|
||||
return ""
|
||||
}
|
||||
case string:
|
||||
if _, ok := value2.(string); !ok {
|
||||
v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: expected string for both operands", keys[0].Name))
|
||||
return ""
|
||||
}
|
||||
default:
|
||||
v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: operands must be number or string", keys[0].Name))
|
||||
return ""
|
||||
}
|
||||
|
||||
var conds []string
|
||||
for _, key := range keys {
|
||||
condition, err := v.conditionBuilder.ConditionFor(context.Background(), key, op, []any{value1, value2}, v.builder, v.startNs, v.endNs)
|
||||
@@ -855,7 +871,7 @@ func (v *filterExpressionVisitor) VisitKey(ctx *grammar.KeyContext) any {
|
||||
// 1. either user meant key ( this is already handled above in fieldKeysForName )
|
||||
// 2. or user meant `attribute.key` we look up in the map for all possible field keys with name 'attribute.key'
|
||||
|
||||
// Note:
|
||||
// Note:
|
||||
// If user only wants to search `attribute.key`, then they have to use `attribute.attribute.key`
|
||||
// If user only wants to search `key`, then they have to use `key`
|
||||
// If user wants to search both, they can use `attribute.key` and we will resolve the ambiguity
|
||||
|
||||
@@ -375,13 +375,6 @@ func mergeAndEnsureBackwardCompatibility(ctx context.Context, logger *slog.Logge
|
||||
config.Flagger.Config.Boolean[flagger.FeatureKafkaSpanEval.String()] = os.Getenv("KAFKA_SPAN_EVAL") == "true"
|
||||
}
|
||||
|
||||
if os.Getenv("INTERPOLATION_ENABLED") != "" {
|
||||
logger.WarnContext(ctx, "[Deprecated] env INTERPOLATION_ENABLED is deprecated and scheduled for removal. Please use SIGNOZ_FLAGGER_CONFIG_BOOLEAN_INTERPOLATION__ENABLED instead.")
|
||||
if config.Flagger.Config.Boolean == nil {
|
||||
config.Flagger.Config.Boolean = make(map[string]bool)
|
||||
}
|
||||
config.Flagger.Config.Boolean[flagger.FeatureInterpolationEnabled.String()] = os.Getenv("INTERPOLATION_ENABLED") == "true"
|
||||
}
|
||||
}
|
||||
|
||||
func (config Config) Collect(_ context.Context, _ valuer.UUID) (map[string]any, error) {
|
||||
|
||||
@@ -5,6 +5,7 @@ import (
|
||||
"fmt"
|
||||
"log/slog"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/querybuilder"
|
||||
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
|
||||
@@ -91,8 +92,9 @@ func (b *meterQueryStatementBuilder) buildPipelineStatement(
|
||||
}
|
||||
|
||||
// spatial_aggregation_cte
|
||||
frag, args := b.buildSpatialAggregationCTE(ctx, start, end, query, keys)
|
||||
if frag != "" {
|
||||
if frag, args, err := b.buildSpatialAggregationCTE(ctx, start, end, query, keys); err != nil {
|
||||
return nil, err
|
||||
} else if frag != "" {
|
||||
cteFragments = append(cteFragments, frag)
|
||||
cteArgs = append(cteArgs, args)
|
||||
}
|
||||
@@ -128,7 +130,10 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDeltaFastPath(
|
||||
}
|
||||
|
||||
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
|
||||
aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
|
||||
}
|
||||
@@ -208,8 +213,11 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDelta(
|
||||
}
|
||||
|
||||
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
|
||||
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
|
||||
query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", nil, err
|
||||
}
|
||||
if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
|
||||
aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
|
||||
}
|
||||
@@ -278,7 +286,10 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
}
|
||||
|
||||
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", nil, err
|
||||
}
|
||||
baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
|
||||
|
||||
baseSb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
|
||||
@@ -315,25 +326,23 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
|
||||
switch query.Aggregations[0].TimeAggregation {
|
||||
case metrictypes.TimeAggregationRate:
|
||||
rateExpr := fmt.Sprintf(telemetrymetrics.RateWithoutNegative, start, start)
|
||||
wrapped := sqlbuilder.NewSelectBuilder()
|
||||
wrapped.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", rateExpr))
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.RateTmpl))
|
||||
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
|
||||
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
|
||||
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
|
||||
|
||||
case metrictypes.TimeAggregationIncrease:
|
||||
incExpr := fmt.Sprintf(telemetrymetrics.IncreaseWithoutNegative, start, start)
|
||||
wrapped := sqlbuilder.NewSelectBuilder()
|
||||
wrapped.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", incExpr))
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.IncreaseTmpl))
|
||||
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
|
||||
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
|
||||
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
|
||||
@@ -348,7 +357,15 @@ func (b *meterQueryStatementBuilder) buildSpatialAggregationCTE(
|
||||
_ uint64,
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
_ map[string][]*telemetrytypes.TelemetryFieldKey,
|
||||
) (string, []any) {
|
||||
) (string, []any, error) {
|
||||
|
||||
if query.Aggregations[0].SpaceAggregation.IsZero() {
|
||||
return "", []any{}, errors.Newf(
|
||||
errors.TypeInvalidInput,
|
||||
errors.CodeInvalidInput,
|
||||
"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`]",
|
||||
)
|
||||
}
|
||||
sb := sqlbuilder.NewSelectBuilder()
|
||||
|
||||
sb.Select("ts")
|
||||
@@ -365,5 +382,5 @@ func (b *meterQueryStatementBuilder) buildSpatialAggregationCTE(
|
||||
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
|
||||
q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
|
||||
}
|
||||
|
||||
@@ -3,6 +3,7 @@ package telemetrymeter
|
||||
import (
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/types/metrictypes"
|
||||
)
|
||||
|
||||
@@ -63,7 +64,7 @@ func AggregationColumnForSamplesTable(
|
||||
temporality metrictypes.Temporality,
|
||||
timeAggregation metrictypes.TimeAggregation,
|
||||
tableHints *metrictypes.MetricTableHints,
|
||||
) string {
|
||||
) (string, error) {
|
||||
tableName := WhichSamplesTableToUse(start, end, metricType, timeAggregation, tableHints)
|
||||
var aggregationColumn string
|
||||
switch temporality {
|
||||
@@ -190,5 +191,13 @@ func AggregationColumnForSamplesTable(
|
||||
}
|
||||
|
||||
}
|
||||
return aggregationColumn
|
||||
|
||||
if aggregationColumn == "" {
|
||||
return "", errors.Newf(
|
||||
errors.TypeInvalidInput,
|
||||
errors.CodeInvalidInput,
|
||||
"invalid time aggregation, should be one of the following: [`latest`, `sum`, `avg`, `min`, `max`, `count`, `rate`, `increase`]",
|
||||
)
|
||||
}
|
||||
return aggregationColumn, nil
|
||||
}
|
||||
|
||||
@@ -29,13 +29,7 @@ func (c *conditionBuilder) conditionFor(
|
||||
sb *sqlbuilder.SelectBuilder,
|
||||
) (string, error) {
|
||||
|
||||
switch operator {
|
||||
case qbtypes.FilterOperatorContains,
|
||||
qbtypes.FilterOperatorNotContains,
|
||||
qbtypes.FilterOperatorILike,
|
||||
qbtypes.FilterOperatorNotILike,
|
||||
qbtypes.FilterOperatorLike,
|
||||
qbtypes.FilterOperatorNotLike:
|
||||
if operator.IsStringSearchOperator() {
|
||||
value = querybuilder.FormatValueForContains(value)
|
||||
}
|
||||
|
||||
@@ -44,6 +38,18 @@ func (c *conditionBuilder) conditionFor(
|
||||
return "", err
|
||||
}
|
||||
|
||||
// todo(srikanthccv): use the same data type collision handling when metrics schemas are updated
|
||||
switch v := value.(type) {
|
||||
case float64:
|
||||
tblFieldName = fmt.Sprintf("toFloat64OrNull(%s)", tblFieldName)
|
||||
case []any:
|
||||
if len(v) > 0 && (operator == qbtypes.FilterOperatorBetween || operator == qbtypes.FilterOperatorNotBetween) {
|
||||
if _, ok := v[0].(float64); ok {
|
||||
tblFieldName = fmt.Sprintf("toFloat64OrNull(%s)", tblFieldName)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
switch operator {
|
||||
case qbtypes.FilterOperatorEqual:
|
||||
return sb.E(tblFieldName, value), nil
|
||||
|
||||
@@ -5,67 +5,27 @@ import (
|
||||
"fmt"
|
||||
"log/slog"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/flagger"
|
||||
"github.com/SigNoz/signoz/pkg/querybuilder"
|
||||
"github.com/SigNoz/signoz/pkg/types/featuretypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/metrictypes"
|
||||
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/huandu/go-sqlbuilder"
|
||||
"golang.org/x/exp/slices"
|
||||
)
|
||||
|
||||
const (
|
||||
RateWithoutNegative = `If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))`
|
||||
IncreaseWithoutNegative = `If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value, ((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window)) * (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))`
|
||||
RateTmpl = `multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window))`
|
||||
|
||||
RateWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, IF((%s - lagInFrame(%s, 1, 0) OVER rate_window) < 0, %s / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window), (%s - lagInFrame(%s, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))) AS per_series_value`
|
||||
IncreaseWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, IF((%s - lagInFrame(%s, 1, 0) OVER rate_window) < 0, %s, ((%s - lagInFrame(%s, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window)) * (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))) AS per_series_value`
|
||||
OthersMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, %s) AS per_series_value`
|
||||
IncreaseTmpl = `multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value, per_series_value - lagInFrame(per_series_value, 1) OVER rate_window)`
|
||||
|
||||
RateWithInterpolation = `
|
||||
CASE
|
||||
WHEN row_number() OVER rate_window = 1 THEN
|
||||
-- First row: try to interpolate using next value
|
||||
CASE
|
||||
WHEN leadInFrame(per_series_value, 1) OVER rate_window IS NOT NULL THEN
|
||||
-- Assume linear growth to next point
|
||||
(leadInFrame(per_series_value, 1) OVER rate_window - per_series_value) /
|
||||
(leadInFrame(ts, 1) OVER rate_window - ts)
|
||||
ELSE
|
||||
0 -- No next value either, can't interpolate
|
||||
END
|
||||
WHEN (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0 THEN
|
||||
-- Counter reset detected
|
||||
per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window)
|
||||
ELSE
|
||||
-- Normal case: calculate rate
|
||||
(per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) /
|
||||
(ts - lagInFrame(ts, 1) OVER rate_window)
|
||||
END`
|
||||
RateWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, multiIf(row_number() OVER rate_window = 1, nan, (%s - lagInFrame(%s, 1) OVER rate_window) < 0, %s / (ts - lagInFrame(ts, 1) OVER rate_window), (%s - lagInFrame(%s, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window))) AS per_series_value`
|
||||
|
||||
IncreaseWithInterpolation = `
|
||||
CASE
|
||||
WHEN row_number() OVER rate_window = 1 THEN
|
||||
-- First row: try to interpolate using next value
|
||||
CASE
|
||||
WHEN leadInFrame(per_series_value, 1) OVER rate_window IS NOT NULL THEN
|
||||
-- Calculate the interpolated increase for this interval
|
||||
((leadInFrame(per_series_value, 1) OVER rate_window - per_series_value) /
|
||||
(leadInFrame(ts, 1) OVER rate_window - ts)) *
|
||||
(leadInFrame(ts, 1) OVER rate_window - ts)
|
||||
ELSE
|
||||
0 -- No next value either, can't interpolate
|
||||
END
|
||||
WHEN (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0 THEN
|
||||
-- Counter reset detected: the increase is the current value
|
||||
per_series_value
|
||||
ELSE
|
||||
-- Normal case: calculate increase
|
||||
(per_series_value - lagInFrame(per_series_value, 1) OVER rate_window)
|
||||
END`
|
||||
IncreaseWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, multiIf(row_number() OVER rate_window = 1, nan, (%s - lagInFrame(%s, 1) OVER rate_window) < 0, %s, (%s - lagInFrame(%s, 1) OVER rate_window))) AS per_series_value`
|
||||
|
||||
OthersMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, %s) AS per_series_value`
|
||||
)
|
||||
|
||||
type MetricQueryStatementBuilder struct {
|
||||
@@ -258,8 +218,9 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
|
||||
|
||||
if b.CanShortCircuitDelta(query) {
|
||||
// spatial_aggregation_cte directly for certain delta queries
|
||||
frag, args := b.buildTemporalAggDeltaFastPath(start, end, query, timeSeriesCTE, timeSeriesCTEArgs)
|
||||
if frag != "" {
|
||||
if frag, args, err := b.buildTemporalAggDeltaFastPath(start, end, query, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
|
||||
return nil, err
|
||||
} else if frag != "" {
|
||||
cteFragments = append(cteFragments, frag)
|
||||
cteArgs = append(cteArgs, args)
|
||||
}
|
||||
@@ -273,8 +234,9 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
|
||||
}
|
||||
|
||||
// spatial_aggregation_cte
|
||||
frag, args := b.buildSpatialAggregationCTE(ctx, start, end, query, keys)
|
||||
if frag != "" {
|
||||
if frag, args, err := b.buildSpatialAggregationCTE(ctx, start, end, query, keys); err != nil {
|
||||
return nil, err
|
||||
} else if frag != "" {
|
||||
cteFragments = append(cteFragments, frag)
|
||||
cteArgs = append(cteArgs, args)
|
||||
}
|
||||
@@ -294,7 +256,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
timeSeriesCTE string,
|
||||
timeSeriesCTEArgs []any,
|
||||
) (string, []any) {
|
||||
) (string, []any, error) {
|
||||
stepSec := int64(query.StepInterval.Seconds())
|
||||
|
||||
sb := sqlbuilder.NewSelectBuilder()
|
||||
@@ -307,10 +269,13 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
|
||||
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
|
||||
aggCol := AggregationColumnForSamplesTable(
|
||||
aggCol, err := AggregationColumnForSamplesTable(
|
||||
start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
|
||||
query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints,
|
||||
)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
|
||||
aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
|
||||
}
|
||||
@@ -334,7 +299,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
|
||||
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
|
||||
q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, timeSeriesCTEArgs...)
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
|
||||
}
|
||||
|
||||
func (b *MetricQueryStatementBuilder) buildTimeSeriesCTE(
|
||||
@@ -437,7 +402,10 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
|
||||
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
|
||||
aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
|
||||
aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
|
||||
}
|
||||
@@ -461,7 +429,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
|
||||
}
|
||||
|
||||
func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
ctx context.Context,
|
||||
_ context.Context,
|
||||
start, end uint64,
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
timeSeriesCTE string,
|
||||
@@ -479,7 +447,10 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
baseSb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
|
||||
aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
|
||||
|
||||
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
@@ -496,36 +467,25 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
|
||||
innerQuery, innerArgs := baseSb.BuildWithFlavor(sqlbuilder.ClickHouse, timeSeriesCTEArgs...)
|
||||
|
||||
// ! TODO (balanikaran) Get OrgID via function parameter instead of valuer.GenerateUUID()
|
||||
interpolationEnabled := b.flagger.BooleanOrEmpty(ctx, flagger.FeatureInterpolationEnabled, featuretypes.NewFlaggerEvaluationContext(valuer.GenerateUUID()))
|
||||
|
||||
switch query.Aggregations[0].TimeAggregation {
|
||||
case metrictypes.TimeAggregationRate:
|
||||
rateExpr := fmt.Sprintf(RateWithoutNegative, start, start)
|
||||
if interpolationEnabled {
|
||||
rateExpr = RateWithInterpolation
|
||||
}
|
||||
wrapped := sqlbuilder.NewSelectBuilder()
|
||||
wrapped.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", rateExpr))
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", RateTmpl))
|
||||
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
|
||||
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
|
||||
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
|
||||
|
||||
case metrictypes.TimeAggregationIncrease:
|
||||
incExpr := fmt.Sprintf(IncreaseWithoutNegative, start, start)
|
||||
if interpolationEnabled {
|
||||
incExpr = IncreaseWithInterpolation
|
||||
}
|
||||
wrapped := sqlbuilder.NewSelectBuilder()
|
||||
wrapped.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", incExpr))
|
||||
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", IncreaseTmpl))
|
||||
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
|
||||
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
|
||||
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
|
||||
@@ -534,7 +494,6 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
|
||||
}
|
||||
}
|
||||
|
||||
// because RateInterpolation is not enabled anywhere due to some gaps in the logic wrt cache handling, it hasn't been considered for the multi temporality
|
||||
func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
|
||||
_ context.Context,
|
||||
start, end uint64,
|
||||
@@ -553,18 +512,32 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
|
||||
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
|
||||
aggForDeltaTemporality := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Delta, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggForCumulativeTemporality := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
aggForDeltaTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Delta, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
aggForCumulativeTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
|
||||
if err != nil {
|
||||
return "", []any{}, err
|
||||
}
|
||||
if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
|
||||
aggForDeltaTemporality = fmt.Sprintf("%s/%d", aggForDeltaTemporality, stepSec)
|
||||
}
|
||||
|
||||
switch query.Aggregations[0].TimeAggregation {
|
||||
case metrictypes.TimeAggregationRate:
|
||||
rateExpr := fmt.Sprintf(RateWithoutNegativeMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, start, aggForCumulativeTemporality, aggForCumulativeTemporality, start)
|
||||
rateExpr := fmt.Sprintf(RateWithoutNegativeMultiTemporality,
|
||||
aggForDeltaTemporality,
|
||||
aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality,
|
||||
aggForCumulativeTemporality, aggForCumulativeTemporality,
|
||||
)
|
||||
sb.SelectMore(rateExpr)
|
||||
case metrictypes.TimeAggregationIncrease:
|
||||
increaseExpr := fmt.Sprintf(IncreaseWithoutNegativeMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, start, start)
|
||||
increaseExpr := fmt.Sprintf(IncreaseWithoutNegativeMultiTemporality,
|
||||
aggForDeltaTemporality,
|
||||
aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality,
|
||||
aggForCumulativeTemporality, aggForCumulativeTemporality,
|
||||
)
|
||||
sb.SelectMore(increaseExpr)
|
||||
default:
|
||||
expr := fmt.Sprintf(OthersMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality)
|
||||
@@ -592,7 +565,14 @@ func (b *MetricQueryStatementBuilder) buildSpatialAggregationCTE(
|
||||
_ uint64,
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
_ map[string][]*telemetrytypes.TelemetryFieldKey,
|
||||
) (string, []any) {
|
||||
) (string, []any, error) {
|
||||
if query.Aggregations[0].SpaceAggregation.IsZero() {
|
||||
return "", []any{}, errors.Newf(
|
||||
errors.TypeInvalidInput,
|
||||
errors.CodeInvalidInput,
|
||||
"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`, `p50`, `p75`, `p90`, `p95`, `p99`]",
|
||||
)
|
||||
}
|
||||
sb := sqlbuilder.NewSelectBuilder()
|
||||
|
||||
sb.Select("ts")
|
||||
@@ -609,7 +589,7 @@ func (b *MetricQueryStatementBuilder) buildSpatialAggregationCTE(
|
||||
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
|
||||
q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
|
||||
return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
|
||||
}
|
||||
|
||||
func (b *MetricQueryStatementBuilder) BuildFinalSelect(
|
||||
|
||||
@@ -3,6 +3,7 @@ package telemetrymetrics
|
||||
import (
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/types/metrictypes"
|
||||
)
|
||||
|
||||
@@ -168,7 +169,7 @@ func AggregationColumnForSamplesTable(
|
||||
temporality metrictypes.Temporality,
|
||||
timeAggregation metrictypes.TimeAggregation,
|
||||
tableHints *metrictypes.MetricTableHints,
|
||||
) string {
|
||||
) (string, error) {
|
||||
tableName := WhichSamplesTableToUse(start, end, metricType, timeAggregation, tableHints)
|
||||
var aggregationColumn string
|
||||
switch temporality {
|
||||
@@ -298,5 +299,12 @@ func AggregationColumnForSamplesTable(
|
||||
}
|
||||
}
|
||||
}
|
||||
return aggregationColumn
|
||||
if aggregationColumn == "" {
|
||||
return "", errors.Newf(
|
||||
errors.TypeInvalidInput,
|
||||
errors.CodeInvalidInput,
|
||||
"invalid time aggregation, should be one of the following: [`latest`, `sum`, `avg`, `min`, `max`, `count`, `rate`, `increase`]",
|
||||
)
|
||||
}
|
||||
return aggregationColumn, nil
|
||||
}
|
||||
|
||||
@@ -35,13 +35,7 @@ func (c *conditionBuilder) conditionFor(
|
||||
sb *sqlbuilder.SelectBuilder,
|
||||
) (string, error) {
|
||||
|
||||
switch operator {
|
||||
case qbtypes.FilterOperatorContains,
|
||||
qbtypes.FilterOperatorNotContains,
|
||||
qbtypes.FilterOperatorILike,
|
||||
qbtypes.FilterOperatorNotILike,
|
||||
qbtypes.FilterOperatorLike,
|
||||
qbtypes.FilterOperatorNotLike:
|
||||
if operator.IsStringSearchOperator() {
|
||||
value = querybuilder.FormatValueForContains(value)
|
||||
}
|
||||
|
||||
|
||||
@@ -152,7 +152,9 @@ func (f FilterOperator) IsStringSearchOperator() bool {
|
||||
FilterOperatorILike,
|
||||
FilterOperatorNotILike,
|
||||
FilterOperatorLike,
|
||||
FilterOperatorNotLike:
|
||||
FilterOperatorNotLike,
|
||||
FilterOperatorRegexp,
|
||||
FilterOperatorNotRegexp:
|
||||
return true
|
||||
default:
|
||||
return false
|
||||
|
||||
@@ -12,6 +12,7 @@ import (
|
||||
var (
|
||||
ErrColumnNotFound = errors.Newf(errors.TypeNotFound, errors.CodeNotFound, "field not found")
|
||||
ErrBetweenValues = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) between operator requires two values")
|
||||
ErrBetweenValuesType = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) between operator requires two values of the number type")
|
||||
ErrInValues = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) in operator requires a list of values")
|
||||
ErrUnsupportedOperator = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "unsupported operator")
|
||||
)
|
||||
|
||||
@@ -179,14 +179,6 @@ func (q *QueryBuilderQuery[T]) validateAggregations() error {
|
||||
aggId,
|
||||
)
|
||||
}
|
||||
// Validate metric-specific aggregations
|
||||
if err := validateMetricAggregation(v); err != nil {
|
||||
aggId := fmt.Sprintf("aggregation #%d", i+1)
|
||||
if q.Name != "" {
|
||||
aggId = fmt.Sprintf("aggregation #%d in query '%s'", i+1, q.Name)
|
||||
}
|
||||
return wrapValidationError(err, aggId, "invalid metric %s: %s")
|
||||
}
|
||||
case TraceAggregation:
|
||||
if v.Expression == "" {
|
||||
aggId := fmt.Sprintf("aggregation #%d", i+1)
|
||||
@@ -803,85 +795,3 @@ func validateQueryEnvelope(envelope QueryEnvelope, requestType RequestType) erro
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
// validateMetricAggregation validates metric-specific aggregation parameters
|
||||
func validateMetricAggregation(agg MetricAggregation) error {
|
||||
// we can't decide anything here without known temporality
|
||||
if agg.Temporality == metrictypes.Unknown {
|
||||
return nil
|
||||
}
|
||||
|
||||
// Validate that rate/increase are only used with appropriate temporalities
|
||||
if agg.TimeAggregation == metrictypes.TimeAggregationRate || agg.TimeAggregation == metrictypes.TimeAggregationIncrease {
|
||||
// For gauge metrics (Unspecified temporality), rate/increase doesn't make sense
|
||||
if agg.Temporality == metrictypes.Unspecified {
|
||||
return errors.NewInvalidInputf(
|
||||
errors.CodeInvalidInput,
|
||||
"rate/increase aggregation cannot be used with gauge metrics (unspecified temporality)",
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
// Validate percentile aggregations are only used with histogram types
|
||||
if agg.SpaceAggregation.IsPercentile() {
|
||||
if agg.Type != metrictypes.HistogramType && agg.Type != metrictypes.ExpHistogramType && agg.Type != metrictypes.SummaryType {
|
||||
return errors.NewInvalidInputf(
|
||||
errors.CodeInvalidInput,
|
||||
"percentile aggregation can only be used with histogram or summary metric types",
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
// Validate time aggregation values
|
||||
validTimeAggregations := []metrictypes.TimeAggregation{
|
||||
metrictypes.TimeAggregationUnspecified,
|
||||
metrictypes.TimeAggregationLatest,
|
||||
metrictypes.TimeAggregationSum,
|
||||
metrictypes.TimeAggregationAvg,
|
||||
metrictypes.TimeAggregationMin,
|
||||
metrictypes.TimeAggregationMax,
|
||||
metrictypes.TimeAggregationCount,
|
||||
metrictypes.TimeAggregationCountDistinct,
|
||||
metrictypes.TimeAggregationRate,
|
||||
metrictypes.TimeAggregationIncrease,
|
||||
}
|
||||
|
||||
validTimeAgg := slices.Contains(validTimeAggregations, agg.TimeAggregation)
|
||||
if !validTimeAgg {
|
||||
return errors.NewInvalidInputf(
|
||||
errors.CodeInvalidInput,
|
||||
"invalid time aggregation: %s",
|
||||
agg.TimeAggregation.StringValue(),
|
||||
).WithAdditional(
|
||||
"Valid time aggregations: latest, sum, avg, min, max, count, count_distinct, rate, increase",
|
||||
)
|
||||
}
|
||||
|
||||
// Validate space aggregation values
|
||||
validSpaceAggregations := []metrictypes.SpaceAggregation{
|
||||
metrictypes.SpaceAggregationUnspecified,
|
||||
metrictypes.SpaceAggregationSum,
|
||||
metrictypes.SpaceAggregationAvg,
|
||||
metrictypes.SpaceAggregationMin,
|
||||
metrictypes.SpaceAggregationMax,
|
||||
metrictypes.SpaceAggregationCount,
|
||||
metrictypes.SpaceAggregationPercentile50,
|
||||
metrictypes.SpaceAggregationPercentile75,
|
||||
metrictypes.SpaceAggregationPercentile90,
|
||||
metrictypes.SpaceAggregationPercentile95,
|
||||
metrictypes.SpaceAggregationPercentile99,
|
||||
}
|
||||
|
||||
validSpaceAgg := slices.Contains(validSpaceAggregations, agg.SpaceAggregation)
|
||||
if !validSpaceAgg {
|
||||
return errors.NewInvalidInputf(
|
||||
errors.CodeInvalidInput,
|
||||
"invalid space aggregation: %s",
|
||||
agg.SpaceAggregation.StringValue(),
|
||||
).WithAdditional(
|
||||
"Valid space aggregations: sum, avg, min, max, count, p50, p75, p90, p95, p99",
|
||||
)
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -112,7 +112,7 @@ def verify_webhook_alert_expectation(
|
||||
break
|
||||
|
||||
# wait for some time before checking again
|
||||
time.sleep(10)
|
||||
time.sleep(1)
|
||||
|
||||
# We've waited but we didn't get the expected number of alerts
|
||||
|
||||
@@ -133,3 +133,15 @@ def verify_webhook_alert_expectation(
|
||||
)
|
||||
|
||||
return True # should not reach here
|
||||
|
||||
|
||||
def update_rule_channel_name(rule_data: dict, channel_name: str):
|
||||
"""
|
||||
updates the channel name in the thresholds
|
||||
so alert notification are sent to the given channel
|
||||
"""
|
||||
thresholds = rule_data["condition"]["thresholds"]
|
||||
if "kind" in thresholds and thresholds["kind"] == "basic":
|
||||
# loop over all the sepcs and update the channels
|
||||
for spec in thresholds["spec"]:
|
||||
spec["channels"] = [channel_name]
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
from typing import Callable, Optional
|
||||
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, Optional
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
def create_cloud_integration_account(
|
||||
request: pytest.FixtureRequest,
|
||||
@@ -24,9 +26,7 @@ def create_cloud_integration_account(
|
||||
cloud_provider: str = "aws",
|
||||
) -> dict:
|
||||
nonlocal created_account_id, cloud_provider_used
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-east-1"]},
|
||||
@@ -59,9 +59,7 @@ def create_cloud_integration_account(
|
||||
|
||||
def _disconnect(admin_token: str, cloud_provider: str) -> requests.Response:
|
||||
assert created_account_id
|
||||
disconnect_endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
)
|
||||
disconnect_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
return requests.post(
|
||||
signoz.self.host_configs["8080"].get(disconnect_endpoint),
|
||||
headers={"Authorization": f"Bearer {admin_token}"},
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
|
||||
from http import HTTPStatus
|
||||
|
||||
import requests
|
||||
|
||||
@@ -43,6 +43,10 @@ class MetricsTimeSeries(ABC):
|
||||
resource_attrs: dict[str, str] = {},
|
||||
scope_attrs: dict[str, str] = {},
|
||||
) -> None:
|
||||
# Create a copy of labels to avoid mutating the caller's dictionary
|
||||
labels = dict(labels)
|
||||
# Add metric_name to the labels to support promql queries
|
||||
labels["__name__"] = metric_name
|
||||
self.env = env
|
||||
self.metric_name = metric_name
|
||||
self.temporality = temporality
|
||||
|
||||
@@ -69,6 +69,10 @@ def signoz( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
"SIGNOZ_GLOBAL_INGESTION__URL": "https://ingest.test.signoz.cloud",
|
||||
"SIGNOZ_USER_PASSWORD_RESET_ALLOW__SELF": True,
|
||||
"SIGNOZ_USER_PASSWORD_RESET_MAX__TOKEN__LIFETIME": "6h",
|
||||
"RULES_EVAL_DELAY": "0s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_POLL__INTERVAL": "5s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__WAIT": "1s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__INTERVAL": "5s",
|
||||
}
|
||||
| sqlstore.env
|
||||
| clickhouse.env
|
||||
|
||||
@@ -191,3 +191,15 @@ class AlertExpectation:
|
||||
# seconds to wait for the alerts to be fired, if no
|
||||
# alerts are fired in the expected time, the test will fail
|
||||
wait_time_seconds: int
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class AlertTestCase:
|
||||
# name of the test case
|
||||
name: str
|
||||
# path to the rule file in testdata directory
|
||||
rule_path: str
|
||||
# list of alert data that will be inserted into the database
|
||||
alert_data: List[AlertData]
|
||||
# list of alert expectations for the test case
|
||||
alert_expectation: AlertExpectation
|
||||
|
||||
@@ -8,6 +8,9 @@ from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingRespons
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
def test_webhook_notification_channel(
|
||||
@@ -20,6 +23,7 @@ def test_webhook_notification_channel(
|
||||
"""
|
||||
Tests the creation and delivery of test alerts on the created notification channel
|
||||
"""
|
||||
logger.info("Setting up notification channel")
|
||||
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = f"notification-channel-{uuid.uuid4()}"
|
||||
@@ -55,10 +59,10 @@ def test_webhook_notification_channel(
|
||||
)
|
||||
|
||||
# TODO: @abhishekhugetech # pylint: disable=W0511
|
||||
# Time required for Org to be registered
|
||||
# in the alertmanager, default 1m.
|
||||
# Time required for newly created Org to be registered in the alertmanager is 5 seconds in signoz.py
|
||||
# this will be fixed after [https://github.com/SigNoz/engineering-pod/issues/3800]
|
||||
time.sleep(65)
|
||||
# 10 seconds safe time for org to be registered in the alertmanager
|
||||
time.sleep(10)
|
||||
|
||||
# Call test API for the notification channel
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
@@ -0,0 +1,671 @@
|
||||
import json
|
||||
import uuid
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingResponse
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.alertutils import (
|
||||
update_rule_channel_name,
|
||||
verify_webhook_alert_expectation,
|
||||
)
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
# test cases for match type and compare operators have wait time of 30 seconds to verify the alert expectation.
|
||||
# we've poistioned the alert data to fire the alert on first eval of rule manager, the eval frequency
|
||||
# for most alert rules are set of 15s so considering this delay plus some delay from alert manager's
|
||||
# group_wait and group_interval, even in worst case most alerts should be triggered in about 30 seconds
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_above_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_above_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_above_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "server",
|
||||
},
|
||||
),
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "api",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_average",
|
||||
rule_path="alerts/test_scenarios/threshold_above_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="traces",
|
||||
data_path="alerts/test_scenarios/threshold_above_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_above_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_above_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_below_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_below_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_below_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_average",
|
||||
rule_path="alerts/test_scenarios/threshold_below_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_below_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_below_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_not_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_not_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
# test cases unit conversion
|
||||
TEST_RULES_UNIT_CONVERSION = [
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_bytes_to_mb",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_bytes_to_mb",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_ms_to_second",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_ms_to_second/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_ms_to_second",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
]
|
||||
|
||||
# test cases miscellaneous cases, no data and multi threshold
|
||||
TEST_RULES_MISCELLANEOUS = [
|
||||
types.AlertTestCase(
|
||||
name="test_no_data_rule_test",
|
||||
rule_path="alerts/test_scenarios/no_data_rule_test/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/no_data_rule_test/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "[No data] no_data_rule_test",
|
||||
"nodata": "true",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for multi threshold rule, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3934) with alertManager is resolved
|
||||
# types.AlertTestCase(
|
||||
# name="test_multi_threshold_rule_test",
|
||||
# rule_path="alerts/test_scenarios/multi_threshold_rule_test/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# # the second alert will be fired with some delay from alert manager's group_interval
|
||||
# # so taking this in consideration, the wait time is 90 seconds (30s + 30s for next alert + 30s buffer)
|
||||
# wait_time_seconds=90,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "info",
|
||||
# }
|
||||
# ),
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "warning",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"alert_test_case",
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS
|
||||
+ TEST_RULES_UNIT_CONVERSION
|
||||
+ TEST_RULES_MISCELLANEOUS,
|
||||
ids=lambda alert_test_case: alert_test_case.name,
|
||||
)
|
||||
def test_basic_alert_rule_conditions(
|
||||
# Notification channel related fixtures
|
||||
notification_channel: types.TestContainerDocker,
|
||||
make_http_mocks: Callable[[types.TestContainerDocker, List[Mapping]], None],
|
||||
create_webhook_notification_channel: Callable[[str, str, dict, bool], str],
|
||||
# Alert rule related fixtures
|
||||
create_alert_rule: Callable[[dict], str],
|
||||
# Alert data insertion related fixtures
|
||||
insert_alert_data: Callable[[List[types.AlertData], datetime], None],
|
||||
alert_test_case: types.AlertTestCase,
|
||||
):
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = str(uuid.uuid4())
|
||||
webhook_endpoint_path = f"/alert/{notification_channel_name}"
|
||||
notification_url = notification_channel.container_configs["8080"].get(
|
||||
webhook_endpoint_path
|
||||
)
|
||||
|
||||
logger.info("notification_url: %s", {"notification_url": notification_url})
|
||||
|
||||
# register the mock endpoint in notification channel
|
||||
make_http_mocks(
|
||||
notification_channel,
|
||||
[
|
||||
Mapping(
|
||||
request=MappingRequest(
|
||||
method=HttpMethods.POST,
|
||||
url=webhook_endpoint_path,
|
||||
),
|
||||
response=MappingResponse(
|
||||
status=200,
|
||||
json_body={},
|
||||
),
|
||||
persistent=False,
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
# Create an alert channel using the given route
|
||||
create_webhook_notification_channel(
|
||||
channel_name=notification_channel_name,
|
||||
webhook_url=notification_url,
|
||||
http_config={},
|
||||
send_resolved=False,
|
||||
)
|
||||
|
||||
logger.info(
|
||||
"alert channel created with name: %s",
|
||||
{"notification_channel_name": notification_channel_name},
|
||||
)
|
||||
|
||||
# Insert alert data
|
||||
insert_alert_data(
|
||||
alert_test_case.alert_data,
|
||||
base_time=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
|
||||
)
|
||||
|
||||
# Create Alert Rule
|
||||
rule_path = get_testdata_file_path(alert_test_case.rule_path)
|
||||
with open(rule_path, "r", encoding="utf-8") as f:
|
||||
rule_data = json.loads(f.read())
|
||||
# Update the channel name in the rule data
|
||||
update_rule_channel_name(rule_data, notification_channel_name)
|
||||
rule_id = create_alert_rule(rule_data)
|
||||
logger.info(
|
||||
"rule created with id: %s",
|
||||
{"rule_id": rule_id, "rule_name": rule_data["alert"]},
|
||||
)
|
||||
|
||||
# Verify alert expectation
|
||||
verify_webhook_alert_expectation(
|
||||
notification_channel,
|
||||
notification_channel_name,
|
||||
alert_test_case.alert_expectation,
|
||||
)
|
||||
@@ -1,7 +1,6 @@
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,7 +20,9 @@ def test_generate_connection_url(
|
||||
# Get authentication token for admin user
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
cloud_provider = "aws"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
# Prepare request payload
|
||||
request_payload = {
|
||||
@@ -65,9 +66,7 @@ def test_generate_connection_url(
|
||||
data = response_data["data"]
|
||||
|
||||
# Assert account_id is a valid UUID format
|
||||
assert (
|
||||
len(data["account_id"]) > 0
|
||||
), "account_id should be a non-empty string (UUID)"
|
||||
assert len(data["account_id"]) > 0, "account_id should be a non-empty string (UUID)"
|
||||
|
||||
# Assert connection_url contains expected CloudFormation parameters
|
||||
connection_url = data["connection_url"]
|
||||
@@ -111,7 +110,9 @@ def test_generate_connection_url_unsupported_provider(
|
||||
# Try with GCP (unsupported)
|
||||
cloud_provider = "gcp"
|
||||
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-central1"]},
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -40,8 +36,9 @@ def test_list_connected_accounts_empty(
|
||||
data = response_data.get("data", response_data)
|
||||
assert "accounts" in data, "Response should contain 'accounts' field"
|
||||
assert isinstance(data["accounts"], list), "Accounts should be a list"
|
||||
assert len(data["accounts"]) == 0, "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
assert (
|
||||
len(data["accounts"]) == 0
|
||||
), "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
|
||||
def test_list_connected_accounts_with_account(
|
||||
@@ -60,7 +57,9 @@ def test_list_connected_accounts_with_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List accounts
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts"
|
||||
@@ -87,7 +86,6 @@ def test_list_connected_accounts_with_account(
|
||||
assert "status" in account, "Account should have status field"
|
||||
|
||||
|
||||
|
||||
def test_get_account_status(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -163,16 +161,16 @@ def test_update_account_config(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Update account configuration
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{account_id}/config"
|
||||
)
|
||||
|
||||
updated_config = {
|
||||
"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}
|
||||
}
|
||||
updated_config = {"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}}
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -198,7 +196,6 @@ def test_update_account_config(
|
||||
timeout=10,
|
||||
)
|
||||
|
||||
|
||||
list_response_data = list_response.json()
|
||||
list_data = list_response_data.get("data", list_response_data)
|
||||
account = next((a for a in list_data["accounts"] if a["id"] == account_id), None)
|
||||
@@ -213,7 +210,6 @@ def test_update_account_config(
|
||||
}, "Regions should match updated config"
|
||||
|
||||
|
||||
|
||||
def test_disconnect_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -230,7 +226,9 @@ def test_disconnect_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Disconnect the account
|
||||
endpoint = (
|
||||
@@ -262,8 +260,9 @@ def test_disconnect_account(
|
||||
disconnected_account = next(
|
||||
(a for a in list_data["accounts"] if a["id"] == account_id), None
|
||||
)
|
||||
assert disconnected_account is None, f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
assert (
|
||||
disconnected_account is None
|
||||
), f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
|
||||
def test_disconnect_account_not_found(
|
||||
@@ -277,9 +276,7 @@ def test_disconnect_account_not_found(
|
||||
cloud_provider = "aws"
|
||||
fake_account_id = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -292,7 +289,6 @@ def test_disconnect_account_not_found(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_accounts_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -50,7 +46,6 @@ def test_list_services_without_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_list_services_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -66,7 +61,9 @@ def test_list_services_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List services for the account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services?cloud_account_id={cloud_account_id}"
|
||||
@@ -94,7 +91,6 @@ def test_list_services_with_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -141,7 +137,6 @@ def test_get_service_details_without_account(
|
||||
assert isinstance(data["assets"], dict), "Assets should be a dictionary"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -157,7 +152,9 @@ def test_get_service_details_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services first
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -196,7 +193,6 @@ def test_get_service_details_with_account(
|
||||
assert "status" in data, "Config should have 'status' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -220,7 +216,6 @@ def test_get_service_details_invalid_service(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_services_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -243,7 +238,6 @@ def test_list_services_unsupported_provider(
|
||||
), f"Expected 400, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -259,7 +253,9 @@ def test_update_service_config(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services to pick a valid service ID
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -274,7 +270,9 @@ def test_update_service_config(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Update service configuration
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -306,7 +304,6 @@ def test_update_service_config(
|
||||
assert "logs" in data["config"], "Config should contain 'logs' field"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -329,7 +326,9 @@ def test_update_service_config_without_account(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Try to update config with non-existent account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
fake_cloud_account_id = str(uuid.uuid4())
|
||||
config_payload = {
|
||||
@@ -351,7 +350,6 @@ def test_update_service_config_without_account(
|
||||
), f"Expected 500 for non-existent account, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -367,11 +365,15 @@ def test_update_service_config_invalid_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Try to update config for invalid service
|
||||
fake_service_id = "non-existent-service"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -392,7 +394,6 @@ def test_update_service_config_invalid_service(
|
||||
), f"Expected 404 for invalid service, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_disable_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -408,7 +409,9 @@ def test_update_service_config_disable_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get a valid service
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -422,7 +425,9 @@ def test_update_service_config_disable_service(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# First enable the service
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
enable_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -54,17 +54,17 @@ def test_rate_with_steady_values_and_reset(
|
||||
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 59
|
||||
assert len(result_values) >= 58
|
||||
# the counter reset happened at 31st minute
|
||||
assert (
|
||||
result_values[30]["value"] == 0.0167
|
||||
result_values[29]["value"] == 0.0167
|
||||
) # i.e 2/120 i.e 29th to 31st minute changes
|
||||
assert (
|
||||
result_values[31]["value"] == 0.133
|
||||
result_values[30]["value"] == 0.133
|
||||
) # i.e 10/60 i.e 31st to 32nd minute changes
|
||||
count_of_steady_rate = sum(1 for v in result_values if v["value"] == 0.0833)
|
||||
assert (
|
||||
count_of_steady_rate >= 56
|
||||
count_of_steady_rate >= 55
|
||||
) # 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:
|
||||
|
||||
@@ -2,11 +2,11 @@
|
||||
Look at the multi_temporality_counters_1h.jsonl file for the relevant data
|
||||
"""
|
||||
|
||||
import os
|
||||
import random
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
import random
|
||||
from typing import Any, Callable, List
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,8 +21,13 @@ from fixtures.querier import (
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
MULTI_TEMPORALITY_FILE = get_testdata_file_path("multi_temporality_counters_1h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path("multi_temporality_counters_10h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path("multi_temporality_counters_24h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path(
|
||||
"multi_temporality_counters_10h.jsonl"
|
||||
)
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path(
|
||||
"multi_temporality_counters_24h.jsonl"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_31st_minute, expected_value_at_32nd_minute, steady_value",
|
||||
@@ -39,7 +44,7 @@ def test_with_steady_values_and_reset(
|
||||
time_aggregation: str,
|
||||
expected_value_at_31st_minute: float,
|
||||
expected_value_at_32nd_minute: float,
|
||||
steady_value: float
|
||||
steady_value: float,
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
@@ -67,24 +72,24 @@ def test_with_steady_values_and_reset(
|
||||
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 59
|
||||
assert len(result_values) >= 58
|
||||
# the counter reset happened at 31st minute
|
||||
# we skip the rate value for the first data point without previous value
|
||||
assert result_values[29]["value"] == expected_value_at_31st_minute
|
||||
assert result_values[30]["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
|
||||
result_values[38]["value"] == steady_value
|
||||
) # 38th 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
|
||||
count_of_steady_rate >= 55
|
||||
) # 59 - (1 reset + 1 high rate + 1 at the beginning)
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, stable_health_value, stable_products_value, stable_checkout_value, spike_checkout_value, stable_orders_value, spike_users_value",
|
||||
@@ -161,20 +166,26 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == stable_health_value)
|
||||
count_steady_health = sum(
|
||||
1 for v in health_values if v["value"] == stable_health_value
|
||||
)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
|
||||
# all /health rates should be state except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == stable_health_value, f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
assert (
|
||||
v["value"] == stable_health_value
|
||||
), f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == stable_products_value)
|
||||
count_steady_products = sum(
|
||||
1 for v in products_values if v["value"] == stable_products_value
|
||||
)
|
||||
|
||||
# most values should be stable, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
@@ -182,7 +193,9 @@ def test_group_by_endpoint(
|
||||
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
|
||||
|
||||
# check that non-stable values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [v["value"] for v in products_values if v["value"] != stable_products_value]
|
||||
gap_boundary_values = [
|
||||
v["value"] for v in products_values if v["value"] != stable_products_value
|
||||
]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < stable_products_value
|
||||
@@ -193,12 +206,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == stable_checkout_value)
|
||||
count_steady_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == stable_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == spike_checkout_value)
|
||||
count_spike_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == spike_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
|
||||
@@ -220,12 +237,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == stable_orders_value)
|
||||
count_steady_orders = sum(
|
||||
1 for v in orders_values if v["value"] == stable_orders_value
|
||||
)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != stable_orders_value]
|
||||
non_standard_orders = [
|
||||
v["value"] for v in orders_values if v["value"] != stable_orders_value
|
||||
]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
@@ -252,6 +273,7 @@ def test_group_by_endpoint(
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_30th_minute, expected_value_at_31st_minute, value_at_switch",
|
||||
[
|
||||
@@ -267,7 +289,7 @@ 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)
|
||||
@@ -295,22 +317,19 @@ 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 len(result_values) >= 59
|
||||
assert result_values[29]["value"] == expected_value_at_30th_minute # 0.183
|
||||
assert result_values[30]["value"] == expected_value_at_31st_minute # 0.183
|
||||
assert result_values[37]["value"] == value_at_switch # 0.25
|
||||
assert (
|
||||
result_values[30]["value"] == expected_value_at_30th_minute #0.183
|
||||
)
|
||||
assert (
|
||||
result_values[31]["value"] == expected_value_at_31st_minute # 0.183
|
||||
)
|
||||
assert (
|
||||
result_values[38]["value"] == value_at_switch # 0.25
|
||||
)
|
||||
assert (
|
||||
result_values[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
result_values[38]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
@@ -355,6 +374,7 @@ def test_for_week_long_time_range(
|
||||
for value in result_values[1:]:
|
||||
assert value["value"] == expected_value
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
[
|
||||
|
||||
@@ -1,23 +1,23 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
|
||||
def test_managed_roles_create_on_register(
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# get the list of all roles.
|
||||
response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -32,18 +32,22 @@ def test_managed_roles_create_on_register(
|
||||
# since this check happens immediately post registeration, all the managed roles should be present.
|
||||
assert len(data) == 4
|
||||
role_names = {role["name"] for role in data}
|
||||
expected_names = {"signoz-admin", "signoz-viewer", "signoz-editor", "signoz-anonymous"}
|
||||
expected_names = {
|
||||
"signoz-admin",
|
||||
"signoz-viewer",
|
||||
"signoz-editor",
|
||||
"signoz-anonymous",
|
||||
}
|
||||
# do the set mapping as this is order insensitive, direct list match is order-sensitive.
|
||||
assert set(role_names) == expected_names
|
||||
|
||||
|
||||
|
||||
def test_root_user_signoz_admin_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
# Get the user from the /user/me endpoint and extract the id
|
||||
@@ -64,14 +68,16 @@ def test_root_user_signoz_admin_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-admin"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-admin"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -80,15 +86,14 @@ def test_root_user_signoz_admin_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{user_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -97,13 +102,13 @@ def test_root_user_signoz_admin_assignment(
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_anonymous_user_signoz_anonymous_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
response = requests.get(
|
||||
@@ -115,14 +120,16 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-anonymous"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-anonymous"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -131,15 +138,14 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_object_type"] == "anonymous"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -147,5 +153,3 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
_user = f"anonymous:organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
@@ -1,11 +1,16 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD, USER_EDITOR_EMAIL, USER_EDITOR_PASSWORD
|
||||
from fixtures.auth import (
|
||||
USER_ADMIN_EMAIL,
|
||||
USER_ADMIN_PASSWORD,
|
||||
USER_EDITOR_EMAIL,
|
||||
USER_EDITOR_PASSWORD,
|
||||
)
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
@@ -16,7 +21,7 @@ def test_user_invite_accept_role_grant(
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# invite a user as editor
|
||||
invite_payload = {
|
||||
"email": USER_EDITOR_EMAIL,
|
||||
@@ -30,7 +35,7 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
assert invite_response.status_code == HTTPStatus.CREATED
|
||||
invite_token = invite_response.json()["data"]["token"]
|
||||
|
||||
|
||||
# accept the invite for editor
|
||||
accept_payload = {
|
||||
"token": invite_token,
|
||||
@@ -40,7 +45,7 @@ def test_user_invite_accept_role_grant(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/invite/accept"),
|
||||
json=accept_payload,
|
||||
timeout=2,
|
||||
)
|
||||
)
|
||||
assert accept_response.status_code == HTTPStatus.CREATED
|
||||
|
||||
# Login with editor email and password
|
||||
@@ -53,7 +58,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert user_me_response.status_code == HTTPStatus.OK
|
||||
editor_id = user_me_response.json()["data"]["id"]
|
||||
|
||||
|
||||
# check the forbidden response for admin api for editor user
|
||||
admin_roles_response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -79,11 +83,11 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
# verify the user tuple details depending on db provider
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -93,7 +97,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_user_update_role_grant(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -122,9 +125,7 @@ def test_user_update_role_grant(
|
||||
org_id = roles_data[0]["orgId"]
|
||||
|
||||
# Update the user's role to viewer
|
||||
update_payload = {
|
||||
"role": "VIEWER"
|
||||
}
|
||||
update_payload = {"role": "VIEWER"}
|
||||
update_response = requests.put(
|
||||
signoz.self.host_configs["8080"].get(f"/api/v1/user/{editor_id}"),
|
||||
json=update_payload,
|
||||
@@ -139,7 +140,9 @@ def test_user_update_role_grant(
|
||||
viewer_tuple_object_id = f"organization/{org_id}/role/signoz-viewer"
|
||||
# Check there is no tuple for signoz-editor assignment
|
||||
editor_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": editor_tuple_object_id},
|
||||
)
|
||||
for row in editor_tuple_result.mappings().fetchall():
|
||||
@@ -152,13 +155,15 @@ def test_user_update_role_grant(
|
||||
|
||||
# Check that a tuple exists for signoz-viewer assignment
|
||||
viewer_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": viewer_tuple_object_id},
|
||||
)
|
||||
row = viewer_tuple_result.mappings().fetchone()
|
||||
assert row is not None
|
||||
assert row['object_type'] == "role"
|
||||
assert row['relation'] == "assignee"
|
||||
assert row["object_type"] == "role"
|
||||
assert row["relation"] == "assignee"
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert row["user_object_type"] == "user"
|
||||
@@ -168,6 +173,7 @@ def test_user_update_role_grant(
|
||||
assert row["user_type"] == "user"
|
||||
assert row["_user"] == _user
|
||||
|
||||
|
||||
def test_user_delete_role_revoke(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -205,10 +211,12 @@ def test_user_delete_role_revoke(
|
||||
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
# there should NOT be any tuple for the current user assignment
|
||||
tuple_rows = tuple_result.mappings().fetchall()
|
||||
for row in tuple_rows:
|
||||
@@ -217,4 +225,4 @@ def test_user_delete_role_revoke(
|
||||
assert row["user_object_id"] != user_object_id
|
||||
else:
|
||||
_user = f"user:organization/{org_id}/user/{editor_id}"
|
||||
assert row["_user"] != _user
|
||||
assert row["_user"] != _user
|
||||
|
||||
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,83 @@
|
||||
{
|
||||
"alert": "multi_threshold_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 30,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "warning",
|
||||
"target": 20,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "info",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_multi_threshold_rule_test",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":26,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":41,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":56,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":101,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":116,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":131,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":146,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":161,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":176,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,70 @@
|
||||
{
|
||||
"alert": "no_data_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"filter": {
|
||||
"expression": "service = 'server'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_no_data_rule_test",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A",
|
||||
"alertOnAbsent": true,
|
||||
"absentFor": 1
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_all_the_time",
|
||||
"ruleType": "promql_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "promql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "promql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "{\"cpu_percent_threshold_above_all_the_time\"}"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":19,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":38,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "clickhouse_sql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "clickhouse_sql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= {{.start_timestamp_ms}} \n AND unix_milli < {{.end_timestamp_ms}} \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n avg(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "duration": "PT0.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a1", "span_id": "a1b2c3d4e5f6g7h8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "duration": "PT1.2S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a2", "span_id": "a2b3c4d5e6f7g8h9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "duration": "PT0.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a3", "span_id": "a3b4c5d6e7f8g9h0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "duration": "PT1.5S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a4", "span_id": "a4b5c6d7e8f9g0h1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "duration": "PT1.1S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a5", "span_id": "a5b6c7d8e9f0g1h2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "duration": "PT0.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a6", "span_id": "a6b7c8d9e0f1g2h3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "duration": "PT1.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a7", "span_id": "a7b8c9d0e1f2g3h4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "duration": "PT1.3S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a8", "span_id": "a8b9c0d1e2f3g4h5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "duration": "PT0.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a9", "span_id": "a9b0c1d2e3f4g5h6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "duration": "PT1.4S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b1", "span_id": "b1c2d3e4f5g6h7i8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "duration": "PT1.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b2", "span_id": "b2c3d4e5f6g7h8i9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" },"attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "duration": "PT0.85S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b3", "span_id": "b3c4d5e6f7g8h9i0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "duration": "PT1.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b4", "span_id": "b4c5d6e7f8g9h0i1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "duration": "PT1.25S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b5", "span_id": "b5c6d7e8f9g0h1i2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "duration": "PT0.95S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b6", "span_id": "b6c7d8e9f0g1h2i3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "duration": "PT1.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b7", "span_id": "b7c8d9e0f1g2h3i4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "duration": "PT1.35S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b8", "span_id": "b8c9d0e1f2g3h4i5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "duration": "PT0.75S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b9", "span_id": "b9c0d1e2f3g4h5i6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "duration": "PT1.55S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c1", "span_id": "c1d2e3f4g5h6i7j8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "duration": "PT1.65S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c2", "span_id": "c2d3e4f5g6h7i8j9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
@@ -0,0 +1,68 @@
|
||||
{
|
||||
"alert": "threshold_above_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "TRACES_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1,
|
||||
"matchType": "3",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "s"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"unit": "ns",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "traces",
|
||||
"filter": {
|
||||
"expression": "http.request.path = '/order'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "p90(duration_nano)"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,24 @@
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"alert": "threshold_above_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "4",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "service",
|
||||
"fieldDataType": "",
|
||||
"fieldContext": ""
|
||||
}
|
||||
],
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_above_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [
|
||||
"service"
|
||||
],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":31,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":46,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":58,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":76,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":81,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":91,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_above_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_threshold_above_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,18 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:02.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Rate limit check passed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "User login successful", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Health check endpoint called", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_below_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":301,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":302,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":303,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":304,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_below_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":95,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":90,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":85,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":78,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":72,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":80,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":76,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":82,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_left_threshold_below_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":7,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":13,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_at_least_once",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":120,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":180,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":720,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":780,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":840,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":960,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":1020,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":55,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":65,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":70,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":75,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_threshold_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":430,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":450,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "1",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_not_equal_to_at_least_once",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":16,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":605,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":606,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":607,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":608,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":609,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":610,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":611,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":612,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_not_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:01:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:03:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:04:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:05:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:06:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:09:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:10:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:11:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:12:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "seats_left_threshold_not_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":524288,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":1048576,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":1572864,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":2097152,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":3770016,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":5642880,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":10515744,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":11038632,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":11561520,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":12084408,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":12607296,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":13130184,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"alert": "unit_conversion_bytes_to_mb",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1.5,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "MBy"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"unit": "By",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_unit_conversion_bytes_to_mb",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":1500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":2000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":182100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":182200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":182300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":182400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":182500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":182600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":182700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":182800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user