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6 Commits

Author SHA1 Message Date
Srikanth Chekuri
6d282dfe68 Merge branch 'main' into fix-issues 2026-02-14 22:42:14 +05:30
Abhishek Kumar Singh
4bbe5ead07 test(integration): alerts e2e test cases with basic rule manager alerts (#10163)
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2026-02-14 22:32:50 +05:30
Yunus M
e36689ecba fix: show ip addresses toggle and add regression test (#10251) 2026-02-14 19:47:16 +05:30
srikanthccv
e3c04b378a fix: update rate/increase query and address several issues in builder queries 2026-02-14 11:02:09 +05:30
Abhi kumar
2c948ef9f6 feat: added new barpanel component (#10266)
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* chore: refactored the config builder and added base config builder

* chore: added a common chart wrapper

* chore: tsc fix

* fix: pr review changes

* fix: pr review changes

* chore: added different tooltips

* chore: removed dayjs extention

* feat: added new barpanel component

* fix: added fix for pr review changes

* chore: added support for bar alignment configuration

* chore: updated structure for bar panel

* chore: pr review fix
2026-02-13 23:22:52 +05:30
Abhi kumar
3c30114642 feat: added option to copy legend text (#10294)
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* feat: added option to copy legend text

* chore: added test for legend copy action

* chore: updated legend styles

* chore: added check icon when legend copied

* chore: added copytoclipboard hook

* chore: removed copytoclipboard options
2026-02-13 08:08:04 +00:00
101 changed files with 4257 additions and 1553 deletions

View File

@@ -285,7 +285,6 @@ flagger:
config:
boolean:
use_span_metrics: true
interpolation_enabled: false
kafka_span_eval: false
string:
float:

View File

@@ -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}`,
);
};

View File

@@ -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}`,
);
};

View File

@@ -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;
},

View File

@@ -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 => (

View File

@@ -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;

View File

@@ -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>

View File

@@ -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>

View File

@@ -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 isnt 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', () => {

View File

@@ -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>
);
}

View File

@@ -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;
}

View File

@@ -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;
}

View File

@@ -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;

View File

@@ -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;
}

View File

@@ -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,
});

View 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,
};
}

View File

@@ -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);
}
}
}
}

View File

@@ -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(() => {

View File

@@ -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} />;
}

View File

@@ -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;

View File

@@ -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();
});
});
});

View File

@@ -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;
}

View File

@@ -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 {

View File

@@ -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,
},
};

View File

@@ -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';

View File

@@ -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,

View File

@@ -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

View File

@@ -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) {

View File

@@ -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
}

View File

@@ -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
}

View File

@@ -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

View File

@@ -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(

View File

@@ -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
}

View File

@@ -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)
}

View File

@@ -152,7 +152,9 @@ func (f FilterOperator) IsStringSearchOperator() bool {
FilterOperatorILike,
FilterOperatorNotILike,
FilterOperatorLike,
FilterOperatorNotLike:
FilterOperatorNotLike,
FilterOperatorRegexp,
FilterOperatorNotRegexp:
return true
default:
return false

View File

@@ -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")
)

View File

@@ -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
}

View File

@@ -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]

View File

@@ -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}"},

View File

@@ -1,4 +1,5 @@
"""Fixtures for cloud integration tests."""
from http import HTTPStatus
import requests

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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)

View 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,
)

View File

@@ -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"]},

View File

@@ -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

View File

@@ -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

View File

@@ -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:

View File

@@ -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",
[

View File

@@ -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

View File

@@ -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

View 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":{}}

View 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"
}

View 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":{}}

View 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"
}

View 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":{}}

View 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"
}

View 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":{}}

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@@ -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"
}

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@@ -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" } }

View 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"
}

View 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":{}}
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View File

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View File

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View File

@@ -0,0 +1,67 @@
{
"alert": "unit_conversion_bytes_to_mb",
"ruleType": "threshold_rule",
"alertType": "METRIC_BASED_ALERT",
"condition": {
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"kind": "basic",
"spec": [
{
"name": "critical",
"target": 1.5,
"matchType": "1",
"op": "1",
"channels": [
"test channel"
],
"targetUnit": "MBy"
}
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},
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"panelType": "graph",
"unit": "By",
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{
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"timeAggregation": "latest",
"spaceAggregation": "max"
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]
}
}
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},
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"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"
}

View 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":{}}
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{"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":{}}
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