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issue_5324
...
nv/dashboa
| Author | SHA1 | Date | |
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86fc0e81ba | ||
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59501ce4a7 | ||
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3e51b9556e | ||
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abd4436388 | ||
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30f52ecb6d | ||
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629d24547c | ||
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080aae9567 | ||
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45a9183c82 | ||
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76e7e88641 | ||
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1b7954faaf | ||
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6f79d6b18d | ||
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e57a9556e3 | ||
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bf35748db5 | ||
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2781f73057 |
@@ -409,10 +409,6 @@ components:
|
||||
properties:
|
||||
duration:
|
||||
type: string
|
||||
endTime:
|
||||
format: date-time
|
||||
nullable: true
|
||||
type: string
|
||||
repeatOn:
|
||||
items:
|
||||
$ref: '#/components/schemas/AlertmanagertypesRepeatOn'
|
||||
@@ -420,11 +416,7 @@ components:
|
||||
type: array
|
||||
repeatType:
|
||||
$ref: '#/components/schemas/AlertmanagertypesRepeatType'
|
||||
startTime:
|
||||
format: date-time
|
||||
type: string
|
||||
required:
|
||||
- startTime
|
||||
- duration
|
||||
- repeatType
|
||||
type: object
|
||||
@@ -458,6 +450,7 @@ components:
|
||||
type: string
|
||||
required:
|
||||
- timezone
|
||||
- startTime
|
||||
type: object
|
||||
AuthtypesAttributeMapping:
|
||||
properties:
|
||||
@@ -1364,7 +1357,6 @@ components:
|
||||
- appservice
|
||||
- containerapp
|
||||
- aks
|
||||
- sqldatabase
|
||||
type: string
|
||||
CloudintegrationtypesServiceMetadata:
|
||||
properties:
|
||||
|
||||
@@ -413,21 +413,11 @@ export interface AlertmanagertypesRecurrenceDTO {
|
||||
* @type string
|
||||
*/
|
||||
duration: string;
|
||||
/**
|
||||
* @type string,null
|
||||
* @format date-time
|
||||
*/
|
||||
endTime?: string | null;
|
||||
/**
|
||||
* @type array,null
|
||||
*/
|
||||
repeatOn?: AlertmanagertypesRepeatOnDTO[] | null;
|
||||
repeatType: AlertmanagertypesRepeatTypeDTO;
|
||||
/**
|
||||
* @type string
|
||||
* @format date-time
|
||||
*/
|
||||
startTime: string;
|
||||
}
|
||||
|
||||
export interface AlertmanagertypesScheduleDTO {
|
||||
@@ -441,7 +431,7 @@ export interface AlertmanagertypesScheduleDTO {
|
||||
* @type string
|
||||
* @format date-time
|
||||
*/
|
||||
startTime?: string;
|
||||
startTime: string;
|
||||
/**
|
||||
* @type string
|
||||
*/
|
||||
@@ -2655,7 +2645,6 @@ export enum CloudintegrationtypesServiceIDDTO {
|
||||
appservice = 'appservice',
|
||||
containerapp = 'containerapp',
|
||||
aks = 'aks',
|
||||
sqldatabase = 'sqldatabase',
|
||||
}
|
||||
export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
|
||||
/**
|
||||
|
||||
@@ -36,6 +36,7 @@ export const REACT_QUERY_KEY = {
|
||||
GET_TRACE_V4_WATERFALL: 'GET_TRACE_V4_WATERFALL',
|
||||
GET_TRACE_AGGREGATIONS: 'GET_TRACE_AGGREGATIONS',
|
||||
GET_TRACE_V2_FLAMEGRAPH: 'GET_TRACE_V2_FLAMEGRAPH',
|
||||
GET_TRACE_V3_FLAMEGRAPH: 'GET_TRACE_V3_FLAMEGRAPH',
|
||||
GET_POD_LIST: 'GET_POD_LIST',
|
||||
GET_NODE_LIST: 'GET_NODE_LIST',
|
||||
GET_DEPLOYMENT_LIST: 'GET_DEPLOYMENT_LIST',
|
||||
|
||||
@@ -1,8 +1,7 @@
|
||||
.billingContainer {
|
||||
margin-bottom: var(--spacing-20);
|
||||
padding-top: 36px;
|
||||
width: 90%;
|
||||
margin: 0 auto;
|
||||
margin: 0 auto var(--spacing-20);
|
||||
|
||||
.pageHeader {
|
||||
margin-bottom: var(--spacing-8);
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
.license-key-callout {
|
||||
margin: var(--spacing-4) var(--spacing-6);
|
||||
width: auto;
|
||||
width: auto !important;
|
||||
|
||||
.license-key-callout__description {
|
||||
display: flex;
|
||||
|
||||
@@ -0,0 +1,41 @@
|
||||
import { useQueries } from 'react-query';
|
||||
import { render, screen } from 'tests/test-utils';
|
||||
|
||||
import GeneralSettings from '../index';
|
||||
|
||||
jest.mock('react-query', () => ({
|
||||
...jest.requireActual('react-query'),
|
||||
useQueries: jest.fn(),
|
||||
}));
|
||||
|
||||
const baseQueryResult = {
|
||||
isError: false,
|
||||
isLoading: false,
|
||||
isFetching: false,
|
||||
isSuccess: true,
|
||||
data: undefined,
|
||||
error: null,
|
||||
refetch: jest.fn(),
|
||||
};
|
||||
|
||||
describe('GeneralSettings index', () => {
|
||||
it('renders fallback message when logs query fails with a non-APIError', () => {
|
||||
(useQueries as jest.Mock).mockReturnValue([
|
||||
{ ...baseQueryResult },
|
||||
{ ...baseQueryResult },
|
||||
{
|
||||
...baseQueryResult,
|
||||
isError: true,
|
||||
isSuccess: false,
|
||||
error: new TypeError(
|
||||
"Cannot read properties of undefined (reading 'code')",
|
||||
),
|
||||
},
|
||||
{ ...baseQueryResult },
|
||||
]);
|
||||
|
||||
render(<GeneralSettings />);
|
||||
|
||||
expect(screen.getByText('something_went_wrong')).toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
@@ -76,7 +76,9 @@ function GeneralSettings(): JSX.Element {
|
||||
if (getRetentionPeriodLogsApiResponse.isError || getDisksResponse.isError) {
|
||||
return (
|
||||
<Typography>
|
||||
{(getRetentionPeriodLogsApiResponse.error as APIError).getErrorMessage() ||
|
||||
{(getRetentionPeriodLogsApiResponse.error instanceof APIError
|
||||
? getRetentionPeriodLogsApiResponse.error.getErrorMessage()
|
||||
: undefined) ||
|
||||
getDisksResponse.data?.error ||
|
||||
t('something_went_wrong')}
|
||||
</Typography>
|
||||
|
||||
@@ -796,7 +796,7 @@ export const getClusterMetricsQueryPayload = (
|
||||
key: k8sDeploymentDesiredKey,
|
||||
type: 'Gauge',
|
||||
},
|
||||
aggregateOperator: 'avg',
|
||||
aggregateOperator: 'latest',
|
||||
dataSource: DataSource.METRICS,
|
||||
disabled: false,
|
||||
expression: 'B',
|
||||
@@ -839,7 +839,7 @@ export const getClusterMetricsQueryPayload = (
|
||||
reduceTo: ReduceOperators.LAST,
|
||||
spaceAggregation: 'sum',
|
||||
stepInterval: 60,
|
||||
timeAggregation: 'avg',
|
||||
timeAggregation: 'latest',
|
||||
},
|
||||
],
|
||||
queryFormulas: [],
|
||||
|
||||
@@ -40,6 +40,7 @@ import { K8S_ENTITY_EVENTS_EXPRESSION_KEY, useEntityEvents } from './hooks';
|
||||
import { getEntityEventsQueryPayload, isEventsKeyNotFoundError } from './utils';
|
||||
|
||||
import styles from './EntityEvents.module.scss';
|
||||
import { useTimezone } from 'providers/Timezone';
|
||||
|
||||
interface EventDataType {
|
||||
key: string;
|
||||
@@ -167,17 +168,25 @@ function EntityEventsContent({
|
||||
[events],
|
||||
);
|
||||
|
||||
const columns: TableColumnsType<EventDataType> = [
|
||||
{ title: 'Severity', dataIndex: 'severity', key: 'severity', width: 100 },
|
||||
{
|
||||
title: 'Timestamp',
|
||||
dataIndex: 'timestamp',
|
||||
width: 240,
|
||||
ellipsis: true,
|
||||
key: 'timestamp',
|
||||
},
|
||||
{ title: 'Body', dataIndex: 'body', key: 'body' },
|
||||
];
|
||||
const { formatTimezoneAdjustedTimestamp } = useTimezone();
|
||||
const columns: TableColumnsType<EventDataType> = useMemo(
|
||||
() => [
|
||||
{ title: 'Severity', dataIndex: 'severity', key: 'severity', width: 100 },
|
||||
{
|
||||
title: 'Timestamp',
|
||||
dataIndex: 'timestamp',
|
||||
width: 240,
|
||||
ellipsis: true,
|
||||
key: 'timestamp',
|
||||
render: (value: string | number): string =>
|
||||
formatTimezoneAdjustedTimestamp(
|
||||
typeof value === 'string' ? value : value / 1e6,
|
||||
),
|
||||
},
|
||||
{ title: 'Body', dataIndex: 'body', key: 'body' },
|
||||
],
|
||||
[formatTimezoneAdjustedTimestamp],
|
||||
);
|
||||
|
||||
const handleExpandRowIcon = ({
|
||||
expanded,
|
||||
|
||||
@@ -41,6 +41,7 @@ import { getTraceListColumns } from './traceListColumns';
|
||||
import { getEntityTracesQueryPayload } from './utils';
|
||||
|
||||
import styles from './EntityTraces.module.scss';
|
||||
import { useTimezone } from 'providers/Timezone';
|
||||
|
||||
interface Props {
|
||||
timeRange: {
|
||||
@@ -136,7 +137,11 @@ function EntityTracesContent({
|
||||
[timeRange.startTime, timeRange.endTime, userExpression],
|
||||
);
|
||||
|
||||
const traceListColumns = getTraceListColumns(selectedEntityTracesColumns);
|
||||
const { formatTimezoneAdjustedTimestamp } = useTimezone();
|
||||
const traceListColumns = getTraceListColumns(
|
||||
selectedEntityTracesColumns,
|
||||
formatTimezoneAdjustedTimestamp,
|
||||
);
|
||||
|
||||
const isKeyNotFound = isKeyNotFoundError(error);
|
||||
const isDataEmpty =
|
||||
|
||||
@@ -1,15 +1,14 @@
|
||||
import { TableColumnsType as ColumnsType } from 'antd';
|
||||
import { Badge } from '@signozhq/ui/badge';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import { DATE_TIME_FORMATS } from 'constants/dateTimeFormats';
|
||||
import { getMs } from 'container/Trace/Filters/Panel/PanelBody/Duration/util';
|
||||
import {
|
||||
BlockLink,
|
||||
getTraceLink,
|
||||
} from 'container/TracesExplorer/ListView/utils';
|
||||
import dayjs from 'dayjs';
|
||||
import { RowData } from 'lib/query/createTableColumnsFromQuery';
|
||||
import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
|
||||
import { FormatTimezoneAdjustedTimestamp } from 'hooks/useTimezoneFormatter/useTimezoneFormatter';
|
||||
|
||||
const keyToLabelMap: Record<string, string> = {
|
||||
timestamp: 'Timestamp',
|
||||
@@ -59,6 +58,7 @@ const getValueForKey = (data: Record<string, any>, key: string): any => {
|
||||
|
||||
export const getTraceListColumns = (
|
||||
selectedColumns: BaseAutocompleteData[],
|
||||
formatTimezoneAdjustedTimestamp: FormatTimezoneAdjustedTimestamp,
|
||||
): ColumnsType<RowData> => {
|
||||
const columns: ColumnsType<RowData> =
|
||||
selectedColumns.map(({ dataType, key, type }) => ({
|
||||
@@ -73,8 +73,8 @@ export const getTraceListColumns = (
|
||||
if (primaryKey === 'timestamp') {
|
||||
const date =
|
||||
typeof value === 'string'
|
||||
? dayjs(value).format(DATE_TIME_FORMATS.ISO_DATETIME_MS)
|
||||
: dayjs(value / 1e6).format(DATE_TIME_FORMATS.ISO_DATETIME_MS);
|
||||
? formatTimezoneAdjustedTimestamp(value)
|
||||
: formatTimezoneAdjustedTimestamp(value / 1e6);
|
||||
|
||||
return (
|
||||
<BlockLink to={getTraceLink(itemData)} openInNewTab>
|
||||
|
||||
@@ -1366,7 +1366,7 @@ export const getPodMetricsQueryPayload = (
|
||||
orderBy: [],
|
||||
queryName: 'B',
|
||||
reduceTo: ReduceOperators.AVG,
|
||||
spaceAggregation: 'avg',
|
||||
spaceAggregation: 'sum',
|
||||
stepInterval: 60,
|
||||
timeAggregation: 'avg',
|
||||
},
|
||||
|
||||
@@ -86,9 +86,9 @@ export const k8sVolumesColumnsConfig: TableColumnDef<K8sVolumesData>[] = [
|
||||
},
|
||||
{
|
||||
id: 'capacity',
|
||||
header: 'Volume Capacity',
|
||||
header: 'Capacity',
|
||||
accessorFn: (row): number => row.volumeCapacity,
|
||||
width: { min: 220 },
|
||||
width: { min: 140 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const capacity = value as number;
|
||||
@@ -105,9 +105,9 @@ export const k8sVolumesColumnsConfig: TableColumnDef<K8sVolumesData>[] = [
|
||||
},
|
||||
{
|
||||
id: 'usage',
|
||||
header: 'Volume Utilization',
|
||||
header: 'Used',
|
||||
accessorFn: (row): number => row.volumeUsage,
|
||||
width: { min: 220 },
|
||||
width: { min: 140 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const usage = value as number;
|
||||
@@ -124,9 +124,9 @@ export const k8sVolumesColumnsConfig: TableColumnDef<K8sVolumesData>[] = [
|
||||
},
|
||||
{
|
||||
id: 'available',
|
||||
header: 'Volume Available',
|
||||
header: 'Available',
|
||||
accessorFn: (row): number => row.volumeAvailable,
|
||||
width: { min: 220 },
|
||||
width: { min: 140 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const available = value as number;
|
||||
@@ -141,4 +141,61 @@ export const k8sVolumesColumnsConfig: TableColumnDef<K8sVolumesData>[] = [
|
||||
);
|
||||
},
|
||||
},
|
||||
{
|
||||
id: 'inodes',
|
||||
header: 'Inodes',
|
||||
accessorFn: (row): number => row.volumeInodes,
|
||||
width: { min: 140 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const inodes = value as number;
|
||||
return (
|
||||
<ValidateColumnValueWrapper
|
||||
value={inodes}
|
||||
entity={InfraMonitoringEntity.VOLUMES}
|
||||
attribute="inodes metric"
|
||||
>
|
||||
<TanStackTable.Text>{inodes}</TanStackTable.Text>
|
||||
</ValidateColumnValueWrapper>
|
||||
);
|
||||
},
|
||||
},
|
||||
{
|
||||
id: 'inodesUsed',
|
||||
header: 'Inodes Used',
|
||||
accessorFn: (row): number => row.volumeInodesUsed,
|
||||
width: { min: 160 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const inodesUsed = value as number;
|
||||
return (
|
||||
<ValidateColumnValueWrapper
|
||||
value={inodesUsed}
|
||||
entity={InfraMonitoringEntity.VOLUMES}
|
||||
attribute="inodes used metric"
|
||||
>
|
||||
<TanStackTable.Text>{inodesUsed}</TanStackTable.Text>
|
||||
</ValidateColumnValueWrapper>
|
||||
);
|
||||
},
|
||||
},
|
||||
{
|
||||
id: 'inodesFree',
|
||||
header: 'Inodes Free',
|
||||
accessorFn: (row): number => row.volumeInodesFree,
|
||||
width: { min: 160 },
|
||||
enableSort: true,
|
||||
cell: ({ value }): React.ReactNode => {
|
||||
const inodesFree = value as number;
|
||||
return (
|
||||
<ValidateColumnValueWrapper
|
||||
value={inodesFree}
|
||||
entity={InfraMonitoringEntity.VOLUMES}
|
||||
attribute="inodes free metric"
|
||||
>
|
||||
<TanStackTable.Text>{inodesFree}</TanStackTable.Text>
|
||||
</ValidateColumnValueWrapper>
|
||||
);
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
@@ -151,6 +151,11 @@ export function PlannedDowntimeForm(
|
||||
|
||||
const saveHandler = useCallback(
|
||||
async (values: PlannedDowntimeFormData) => {
|
||||
const { startTime, timezone } = values;
|
||||
if (!startTime || !timezone) {
|
||||
// unreachable: required fields should always be present on submitting.
|
||||
return;
|
||||
}
|
||||
const data: AlertmanagertypesPostablePlannedMaintenanceDTO = {
|
||||
alertIds:
|
||||
values.alertRuleScope === 'all'
|
||||
@@ -161,9 +166,9 @@ export function PlannedDowntimeForm(
|
||||
name: values.name,
|
||||
scope: values.scope,
|
||||
schedule: {
|
||||
startTime: values.startTime?.format(),
|
||||
startTime: startTime.format(),
|
||||
endTime: values.endTime?.format(),
|
||||
timezone: values.timezone!,
|
||||
timezone,
|
||||
recurrence: values.recurrence,
|
||||
},
|
||||
};
|
||||
@@ -200,25 +205,17 @@ export function PlannedDowntimeForm(
|
||||
],
|
||||
);
|
||||
const onFinish = async (values: PlannedDowntimeFormData): Promise<void> => {
|
||||
const { recurrence } = values;
|
||||
const recurrenceData =
|
||||
!recurrence ||
|
||||
recurrence.repeatType === recurrenceOptions.doesNotRepeat.value
|
||||
? undefined
|
||||
: {
|
||||
duration: recurrence.duration
|
||||
? `${recurrence.duration}${durationUnit}`
|
||||
: '',
|
||||
startTime: values.startTime!.format(),
|
||||
endTime: values.endTime?.format(),
|
||||
repeatOn: recurrence.repeatOn,
|
||||
repeatType: recurrence.repeatType,
|
||||
};
|
||||
const rec = values.recurrence;
|
||||
const recurrence =
|
||||
rec && rec.repeatType !== recurrenceOptions.doesNotRepeat.value
|
||||
? {
|
||||
duration: `${rec.duration}${durationUnit}`,
|
||||
repeatOn: rec.repeatOn,
|
||||
repeatType: rec.repeatType,
|
||||
}
|
||||
: undefined;
|
||||
|
||||
await saveHandler({
|
||||
...values,
|
||||
recurrence: recurrenceData,
|
||||
});
|
||||
await saveHandler({ ...values, recurrence });
|
||||
};
|
||||
|
||||
const handleFormData = (data: Partial<PlannedDowntimeFormData>): void => {
|
||||
@@ -275,9 +272,6 @@ export function PlannedDowntimeForm(
|
||||
|
||||
const formattedInitialValues = useMemo((): PlannedDowntimeFormData => {
|
||||
const { schedule } = initialValues;
|
||||
const startTime = schedule?.recurrence?.startTime || schedule?.startTime;
|
||||
const endTime = schedule?.recurrence?.endTime || schedule?.endTime;
|
||||
|
||||
const initialAlertIds = initialValues.alertIds || [];
|
||||
|
||||
return {
|
||||
@@ -285,8 +279,12 @@ export function PlannedDowntimeForm(
|
||||
alertRuleScope:
|
||||
isEditMode && initialAlertIds.length === 0 ? 'all' : 'specific',
|
||||
alertRules: getAlertOptionsFromIds(initialAlertIds, alertOptions),
|
||||
startTime: startTime ? dayjs(startTime).tz(schedule.timezone) : null,
|
||||
endTime: endTime ? dayjs(endTime).tz(schedule.timezone) : null,
|
||||
startTime: schedule?.startTime
|
||||
? dayjs(schedule.startTime).tz(schedule.timezone)
|
||||
: null,
|
||||
endTime: schedule?.endTime
|
||||
? dayjs(schedule.endTime).tz(schedule.timezone)
|
||||
: null,
|
||||
recurrence: {
|
||||
...schedule?.recurrence,
|
||||
repeatType: !isScheduleRecurring(schedule)
|
||||
@@ -297,7 +295,7 @@ export function PlannedDowntimeForm(
|
||||
timezone: schedule?.timezone as string,
|
||||
scope: initialValues.scope || '',
|
||||
};
|
||||
}, [initialValues, alertOptions]);
|
||||
}, [initialValues, isEditMode, alertOptions]);
|
||||
|
||||
useEffect(() => {
|
||||
setSelectedTags(formattedInitialValues.alertRules);
|
||||
@@ -341,7 +339,7 @@ export function PlannedDowntimeForm(
|
||||
const formattedEndTime = endTime.format(TIME_FORMAT);
|
||||
const formattedEndDate = endTime.format(DATE_FORMAT);
|
||||
return `Scheduled to end maintenance on ${formattedEndDate} at ${formattedEndTime}.`;
|
||||
}, [formData, recurrenceType]);
|
||||
}, [formData]);
|
||||
|
||||
return (
|
||||
<Modal
|
||||
|
||||
@@ -142,7 +142,6 @@ export function CollapseListContent({
|
||||
updated_by_name?: string;
|
||||
alertOptions?: DefaultOptionType[];
|
||||
}): JSX.Element {
|
||||
const repeats = schedule?.recurrence;
|
||||
const renderItems = (title: string, value: ReactNode): JSX.Element => (
|
||||
<div className="render-item-collapse-list">
|
||||
<Typography>{title}</Typography>
|
||||
@@ -193,10 +192,7 @@ export function CollapseListContent({
|
||||
'Timezone',
|
||||
<Typography>{schedule?.timezone || '-'}</Typography>,
|
||||
)}
|
||||
{renderItems(
|
||||
'Repeats',
|
||||
<Typography>{recurrenceInfo(repeats, schedule?.timezone)}</Typography>,
|
||||
)}
|
||||
{renderItems('Repeats', <Typography>{recurrenceInfo(schedule)}</Typography>)}
|
||||
{renderItems(
|
||||
'Alerts silenced',
|
||||
alertOptions?.length ? (
|
||||
|
||||
@@ -6,7 +6,7 @@ import type {
|
||||
DeleteDowntimeScheduleByIDPathParameters,
|
||||
RenderErrorResponseDTO,
|
||||
AlertmanagertypesPlannedMaintenanceDTO,
|
||||
AlertmanagertypesRecurrenceDTO,
|
||||
AlertmanagertypesScheduleDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import type { ErrorType } from 'api/generatedAPIInstance';
|
||||
import { AxiosError } from 'axios';
|
||||
@@ -66,14 +66,17 @@ export const getAlertOptionsFromIds = (
|
||||
);
|
||||
|
||||
export const recurrenceInfo = (
|
||||
recurrence?: AlertmanagertypesRecurrenceDTO | null,
|
||||
timezone?: string,
|
||||
schedule?: AlertmanagertypesScheduleDTO | null,
|
||||
): string => {
|
||||
if (!schedule) {
|
||||
return 'No';
|
||||
}
|
||||
const { startTime, endTime, timezone, recurrence } = schedule;
|
||||
if (!recurrence) {
|
||||
return 'No';
|
||||
}
|
||||
|
||||
const { startTime, duration, repeatOn, repeatType, endTime } = recurrence;
|
||||
const { duration, repeatOn, repeatType } = recurrence;
|
||||
|
||||
const formattedStartTime = startTime
|
||||
? formatDateTime(startTime, timezone)
|
||||
@@ -95,7 +98,7 @@ export const defaultInitialValues: Partial<AlertmanagertypesPlannedMaintenanceDT
|
||||
timezone: '',
|
||||
endTime: undefined,
|
||||
recurrence: undefined,
|
||||
startTime: undefined,
|
||||
startTime: '',
|
||||
},
|
||||
alertIds: [],
|
||||
createdAt: undefined,
|
||||
|
||||
@@ -11,7 +11,7 @@ export const buildSchedule = (
|
||||
schedule: Partial<AlertmanagertypesScheduleDTO>,
|
||||
): AlertmanagertypesScheduleDTO => ({
|
||||
timezone: schedule?.timezone ?? '',
|
||||
startTime: schedule?.startTime,
|
||||
startTime: schedule?.startTime ?? '',
|
||||
endTime: schedule?.endTime,
|
||||
recurrence: schedule?.recurrence,
|
||||
});
|
||||
|
||||
@@ -1135,17 +1135,9 @@
|
||||
|
||||
.settings-dropdown,
|
||||
.help-support-dropdown {
|
||||
.ant-dropdown-menu-item {
|
||||
min-height: 32px;
|
||||
|
||||
.ant-dropdown-menu-title-content {
|
||||
color: var(--l1-foreground) !important;
|
||||
}
|
||||
|
||||
.user-settings-dropdown-logout-section {
|
||||
color: var(--danger-background);
|
||||
pointer-events: auto;
|
||||
}
|
||||
.user-settings-dropdown-logout-section {
|
||||
color: var(--danger-background);
|
||||
pointer-events: auto;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
42
frontend/src/hooks/trace/useGetTraceFlamegraphV3.tsx
Normal file
42
frontend/src/hooks/trace/useGetTraceFlamegraphV3.tsx
Normal file
@@ -0,0 +1,42 @@
|
||||
import { getFlamegraph } from 'api/generated/services/tracedetail';
|
||||
import {
|
||||
SpantypesGettableFlamegraphTraceDTO,
|
||||
TelemetrytypesTelemetryFieldKeyDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
|
||||
import { useQuery, UseQueryResult } from 'react-query';
|
||||
import { TelemetryFieldKey } from 'types/api/v5/queryRange';
|
||||
|
||||
export interface GetTraceFlamegraphV3Props {
|
||||
traceId: string;
|
||||
selectedSpanId?: string;
|
||||
selectFields?: TelemetryFieldKey[];
|
||||
enabled?: boolean;
|
||||
}
|
||||
|
||||
const useGetTraceFlamegraphV3 = (
|
||||
props: GetTraceFlamegraphV3Props,
|
||||
): UseQueryResult<SpantypesGettableFlamegraphTraceDTO, unknown> =>
|
||||
useQuery({
|
||||
queryFn: () =>
|
||||
getFlamegraph(
|
||||
{ traceID: props.traceId },
|
||||
{
|
||||
selectedSpanId: props.selectedSpanId,
|
||||
// v5 TelemetryFieldKey and the generated DTO are runtime-identical; only
|
||||
// the literal-union vs enum nominal types differ
|
||||
selectFields: props.selectFields as TelemetrytypesTelemetryFieldKeyDTO[],
|
||||
},
|
||||
).then((res) => res.data),
|
||||
queryKey: [
|
||||
REACT_QUERY_KEY.GET_TRACE_V3_FLAMEGRAPH,
|
||||
props.traceId,
|
||||
props.selectedSpanId,
|
||||
props.selectFields,
|
||||
],
|
||||
enabled: props.enabled,
|
||||
keepPreviousData: true,
|
||||
refetchOnWindowFocus: false,
|
||||
});
|
||||
|
||||
export default useGetTraceFlamegraphV3;
|
||||
@@ -22,11 +22,13 @@ interface CacheEntry {
|
||||
const CACHE_SIZE_LIMIT = 1000;
|
||||
const CACHE_CLEANUP_PERCENTAGE = 0.5; // Remove 50% when limit is reached
|
||||
|
||||
export type FormatTimezoneAdjustedTimestamp = (
|
||||
input: TimestampInput,
|
||||
format?: string,
|
||||
) => string;
|
||||
|
||||
function useTimezoneFormatter({ userTimezone }: { userTimezone: Timezone }): {
|
||||
formatTimezoneAdjustedTimestamp: (
|
||||
input: TimestampInput,
|
||||
format?: string,
|
||||
) => string;
|
||||
formatTimezoneAdjustedTimestamp: FormatTimezoneAdjustedTimestamp;
|
||||
} {
|
||||
// Initialize cache using useMemo to persist between renders
|
||||
const cache = useMemo(() => new Map<string, CacheEntry>(), []);
|
||||
|
||||
@@ -0,0 +1,103 @@
|
||||
import { useEffect, useMemo, useState } from 'react';
|
||||
import { SelectSimple } from '@signozhq/ui/select';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import cx from 'classnames';
|
||||
// eslint-disable-next-line signoz/no-antd-components -- searchable async select: no @signozhq/ui equivalent
|
||||
import { Select } from 'antd';
|
||||
import { useGetFieldKeys } from 'hooks/dynamicVariables/useGetFieldKeys';
|
||||
import { useGetFieldValues } from 'hooks/dynamicVariables/useGetFieldValues';
|
||||
import useDebounce from 'hooks/useDebounce';
|
||||
|
||||
import { TELEMETRY_SIGNALS, type TelemetrySignal } from '../variableModel';
|
||||
import styles from './VariableForm.module.scss';
|
||||
|
||||
interface DynamicVariableFieldsProps {
|
||||
attribute: string;
|
||||
signal: TelemetrySignal;
|
||||
onChange: (patch: {
|
||||
dynamicAttribute?: string;
|
||||
dynamicSignal?: TelemetrySignal;
|
||||
}) => void;
|
||||
onPreview: (values: (string | number)[]) => void;
|
||||
}
|
||||
|
||||
/** Dynamic-variable body: telemetry signal + field, whose live values preview. */
|
||||
function DynamicVariableFields({
|
||||
attribute,
|
||||
signal,
|
||||
onChange,
|
||||
onPreview,
|
||||
}: DynamicVariableFieldsProps): JSX.Element {
|
||||
const [search, setSearch] = useState('');
|
||||
const debouncedSearch = useDebounce(search, 300);
|
||||
|
||||
const { data: keyData, isLoading } = useGetFieldKeys({
|
||||
signal,
|
||||
name: debouncedSearch || undefined,
|
||||
});
|
||||
|
||||
// `keys` is a Record keyed BY field name; the field names are the map keys.
|
||||
// When the API reports the list is `complete`, search filters locally.
|
||||
const isComplete = keyData?.data?.complete === true;
|
||||
const options = useMemo(
|
||||
() =>
|
||||
Object.keys(keyData?.data?.keys ?? {}).map((name) => ({
|
||||
label: name,
|
||||
value: name,
|
||||
})),
|
||||
[keyData],
|
||||
);
|
||||
|
||||
const { data: valueData } = useGetFieldValues({
|
||||
signal,
|
||||
name: attribute,
|
||||
enabled: !!attribute,
|
||||
});
|
||||
|
||||
useEffect(() => {
|
||||
const payload = valueData?.data;
|
||||
const values =
|
||||
payload?.normalizedValues ?? payload?.values?.StringValues ?? [];
|
||||
onPreview(values);
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [valueData]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<div className={cx(styles.row, styles.sortSection)}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>Source</Typography.Text>
|
||||
</div>
|
||||
<SelectSimple
|
||||
className={styles.sortSelect}
|
||||
value={signal}
|
||||
items={TELEMETRY_SIGNALS.map((s) => ({ label: s, value: s }))}
|
||||
onChange={(value): void =>
|
||||
onChange({ dynamicSignal: value as TelemetrySignal })
|
||||
}
|
||||
testId="variable-signal-select"
|
||||
/>
|
||||
</div>
|
||||
<div className={cx(styles.row, styles.sortSection)}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>Attribute</Typography.Text>
|
||||
</div>
|
||||
<Select
|
||||
className={styles.searchSelect}
|
||||
showSearch
|
||||
value={attribute || undefined}
|
||||
placeholder="Select a telemetry field"
|
||||
loading={isLoading}
|
||||
filterOption={isComplete}
|
||||
onSearch={setSearch}
|
||||
onChange={(value): void => onChange({ dynamicAttribute: value as string })}
|
||||
options={options}
|
||||
notFoundContent={isLoading ? 'Loading…' : 'No fields found'}
|
||||
data-testid="variable-field-select"
|
||||
/>
|
||||
</div>
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
export default DynamicVariableFields;
|
||||
@@ -0,0 +1,93 @@
|
||||
import { useState } from 'react';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import dashboardVariablesQuery from 'api/dashboard/variables/dashboardVariablesQuery';
|
||||
import Editor from 'components/Editor';
|
||||
import sortValues from 'lib/dashboardVariables/sortVariableValues';
|
||||
|
||||
import type { VariableSort } from '../variableModel';
|
||||
import styles from './VariableForm.module.scss';
|
||||
|
||||
interface QueryVariableFieldsProps {
|
||||
queryValue: string;
|
||||
sort: VariableSort;
|
||||
onChange: (queryValue: string) => void;
|
||||
onPreview: (values: (string | number)[]) => void;
|
||||
onError: (message: string | null) => void;
|
||||
}
|
||||
|
||||
/** Query-variable body: SQL editor + "Test Run Query" that previews the values. */
|
||||
function QueryVariableFields({
|
||||
queryValue,
|
||||
sort,
|
||||
onChange,
|
||||
onPreview,
|
||||
onError,
|
||||
}: QueryVariableFieldsProps): JSX.Element {
|
||||
const [isRunning, setIsRunning] = useState(false);
|
||||
|
||||
const runTest = async (): Promise<void> => {
|
||||
setIsRunning(true);
|
||||
onError(null);
|
||||
try {
|
||||
const res = await dashboardVariablesQuery({
|
||||
query: queryValue,
|
||||
variables: {},
|
||||
});
|
||||
if (res.statusCode === 200 && res.payload) {
|
||||
onPreview(
|
||||
sortValues(res.payload.variableValues ?? [], sort) as (string | number)[],
|
||||
);
|
||||
} else {
|
||||
onError(res.error || 'Failed to run query');
|
||||
onPreview([]);
|
||||
}
|
||||
} catch (err) {
|
||||
onError((err as Error).message || 'Failed to run query');
|
||||
onPreview([]);
|
||||
} finally {
|
||||
setIsRunning(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className={styles.queryContainer}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>Query</Typography.Text>
|
||||
</div>
|
||||
<div className={styles.editorWrap}>
|
||||
<Editor
|
||||
language="sql"
|
||||
value={queryValue}
|
||||
onChange={(value): void => onChange(value)}
|
||||
height="240px"
|
||||
options={{
|
||||
fontSize: 13,
|
||||
wordWrap: 'on',
|
||||
lineNumbers: 'off',
|
||||
glyphMargin: false,
|
||||
folding: false,
|
||||
lineDecorationsWidth: 0,
|
||||
lineNumbersMinChars: 0,
|
||||
minimap: { enabled: false },
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.testRow}>
|
||||
<Button
|
||||
variant="solid"
|
||||
color="primary"
|
||||
size="sm"
|
||||
loading={isRunning}
|
||||
disabled={!queryValue}
|
||||
onClick={runTest}
|
||||
testId="variable-test-run"
|
||||
>
|
||||
Test Run Query
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default QueryVariableFields;
|
||||
@@ -0,0 +1,310 @@
|
||||
/* Faithful reproduction of the V1 VariableItem layout, scoped as a module and
|
||||
built on @signozhq components where possible. antd is retained only for the
|
||||
monaco Editor, multiline TextArea, Collapse, and searchable Selects. */
|
||||
|
||||
.container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 3px;
|
||||
}
|
||||
|
||||
.allVariables {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
padding: 10px 16px;
|
||||
border-bottom: 1px solid var(--l1-border);
|
||||
}
|
||||
|
||||
.allVariablesBtn {
|
||||
--button-height: 24px;
|
||||
--button-padding: 0;
|
||||
color: var(--muted-foreground);
|
||||
}
|
||||
|
||||
.content {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 20px;
|
||||
padding: 12px 16px 20px;
|
||||
}
|
||||
|
||||
/* VariableItemRow */
|
||||
.row {
|
||||
display: flex;
|
||||
gap: 1rem;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
/* LabelContainer */
|
||||
.labelContainer {
|
||||
width: 200px;
|
||||
}
|
||||
|
||||
.label {
|
||||
color: var(--l2-foreground);
|
||||
font-family: Inter;
|
||||
font-size: 14px;
|
||||
font-weight: 400;
|
||||
line-height: 20px;
|
||||
}
|
||||
|
||||
.column {
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.input,
|
||||
.textarea,
|
||||
.defaultInput {
|
||||
padding: 6px 6px 6px 8px;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 2px;
|
||||
background: var(--l3-background);
|
||||
}
|
||||
|
||||
.input,
|
||||
.textarea {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.defaultInput {
|
||||
width: 342px;
|
||||
}
|
||||
|
||||
.errorText {
|
||||
font-size: 12px;
|
||||
color: var(--bg-amber-500);
|
||||
}
|
||||
|
||||
/* Variable type segmented group */
|
||||
.typeSection {
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
}
|
||||
|
||||
.typeLabelContainer {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
width: auto;
|
||||
}
|
||||
|
||||
.typeBtnGroup {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(4, max-content);
|
||||
height: 32px;
|
||||
flex-shrink: 0;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 2px;
|
||||
background: var(--l2-background);
|
||||
box-shadow: 0 0 8px 0 rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
.typeBtn {
|
||||
--button-height: 32px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 4px;
|
||||
min-width: 114px;
|
||||
border-radius: 0;
|
||||
color: var(--l2-foreground);
|
||||
|
||||
& + & {
|
||||
border-left: 1px solid var(--l1-border);
|
||||
}
|
||||
}
|
||||
|
||||
.typeBtnSelected {
|
||||
background: var(--l1-border);
|
||||
color: var(--l1-foreground);
|
||||
}
|
||||
|
||||
.betaTag {
|
||||
margin-left: 4px;
|
||||
}
|
||||
|
||||
/* Query */
|
||||
.queryContainer {
|
||||
display: flex;
|
||||
flex-flow: column wrap;
|
||||
gap: 1rem;
|
||||
min-width: 0;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.editorWrap {
|
||||
height: 240px;
|
||||
overflow: hidden;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 2px;
|
||||
}
|
||||
|
||||
.testRow {
|
||||
display: flex;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
/* Custom — antd Collapse */
|
||||
.customSection {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.customSection :global(.custom-collapse) {
|
||||
width: 100%;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 3px 3px 0 0;
|
||||
|
||||
:global(.ant-collapse-item) {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
:global(.ant-collapse-header) {
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
height: 38px;
|
||||
padding: 12px;
|
||||
background: var(--l3-background);
|
||||
border-radius: 3px 3px 0 0;
|
||||
}
|
||||
|
||||
:global(.ant-collapse-header-text) {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
padding: 1px 2px;
|
||||
color: var(--bg-robin-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 14px;
|
||||
line-height: 18px;
|
||||
border-radius: 2px;
|
||||
background: color-mix(in srgb, var(--bg-robin-400) 8%, transparent);
|
||||
}
|
||||
|
||||
:global(.ant-collapse-content-box) {
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
:global(.comma-input) {
|
||||
height: 109px;
|
||||
border: none;
|
||||
}
|
||||
}
|
||||
|
||||
/* Textbox */
|
||||
.textboxSection {
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
/* Preview strip */
|
||||
.previewSection {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
min-height: 88px;
|
||||
margin-bottom: 0;
|
||||
padding-bottom: 8px;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 3px;
|
||||
}
|
||||
|
||||
.previewLabel {
|
||||
align-self: flex-start;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
padding: 4px 8px;
|
||||
color: var(--bg-robin-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 14px;
|
||||
line-height: 18px;
|
||||
border-radius: 3px 0 2px;
|
||||
background: color-mix(in srgb, var(--bg-robin-400) 8%, transparent);
|
||||
}
|
||||
|
||||
.previewValues {
|
||||
display: flex;
|
||||
flex-flow: wrap;
|
||||
gap: 8px;
|
||||
padding: 4.5px 11px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.previewValues [data-slot='badge'] {
|
||||
height: 30px;
|
||||
align-items: center;
|
||||
color: var(--l1-foreground);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 14px;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 2px;
|
||||
}
|
||||
|
||||
.previewError {
|
||||
color: var(--bg-amber-500);
|
||||
}
|
||||
|
||||
/* Sort / multi / all / default rows */
|
||||
.sortSection,
|
||||
.multiSection,
|
||||
.allOptionSection,
|
||||
.dynamicSection {
|
||||
align-items: flex-start;
|
||||
justify-content: space-between;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.sortSection {
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.rowLabel {
|
||||
width: 339px;
|
||||
color: var(--l2-foreground);
|
||||
font-family: Inter;
|
||||
font-size: 14px;
|
||||
line-height: 20px;
|
||||
letter-spacing: -0.07px;
|
||||
}
|
||||
|
||||
.sortSelect {
|
||||
width: 192px;
|
||||
}
|
||||
|
||||
.defaultValueSection {
|
||||
display: grid;
|
||||
grid-template-columns: max-content 1fr;
|
||||
gap: 1rem;
|
||||
align-items: center;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.defaultValueSection .label {
|
||||
display: block;
|
||||
margin-bottom: 2px;
|
||||
}
|
||||
|
||||
.defaultValueDesc {
|
||||
display: block;
|
||||
color: var(--l2-foreground);
|
||||
font-family: Inter;
|
||||
font-size: 11px;
|
||||
line-height: 18px;
|
||||
letter-spacing: -0.06px;
|
||||
}
|
||||
|
||||
.searchSelect {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
/* Footer */
|
||||
.footer {
|
||||
display: flex;
|
||||
justify-content: flex-end;
|
||||
gap: 1rem;
|
||||
margin-top: 12px;
|
||||
}
|
||||
@@ -0,0 +1,351 @@
|
||||
import { useEffect, useState } from 'react';
|
||||
import { ArrowLeft, Check, X } from '@signozhq/icons';
|
||||
import { Badge } from '@signozhq/ui/badge';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { Input } from '@signozhq/ui/input';
|
||||
import { SelectSimple } from '@signozhq/ui/select';
|
||||
import { Switch } from '@signozhq/ui/switch';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import cx from 'classnames';
|
||||
// eslint-disable-next-line signoz/no-antd-components -- TextArea/Collapse/searchable Select: no @signozhq/ui equivalent
|
||||
import { Collapse, Input as AntdInput, Select } from 'antd';
|
||||
import { commaValuesParser } from 'lib/dashboardVariables/customCommaValuesParser';
|
||||
import sortValues from 'lib/dashboardVariables/sortVariableValues';
|
||||
|
||||
import {
|
||||
VARIABLE_SORTS,
|
||||
type VariableFormModel,
|
||||
type VariableSort,
|
||||
type VariableType,
|
||||
} from '../variableModel';
|
||||
import DynamicVariableFields from './DynamicVariableFields';
|
||||
import QueryVariableFields from './QueryVariableFields';
|
||||
import VariableTypeSelector from './VariableTypeSelector';
|
||||
import styles from './VariableForm.module.scss';
|
||||
|
||||
const SORT_LABEL: Record<VariableSort, string> = {
|
||||
DISABLED: 'Disabled',
|
||||
ASC: 'Ascending',
|
||||
DESC: 'Descending',
|
||||
};
|
||||
|
||||
function getNameError(name: string, existingNames: string[]): string | null {
|
||||
if (name === '') {
|
||||
return 'Variable name is required';
|
||||
}
|
||||
if (/\s/.test(name)) {
|
||||
return 'Variable name cannot contain whitespaces';
|
||||
}
|
||||
if (existingNames.includes(name)) {
|
||||
return 'Variable name already exists';
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
interface VariableFormProps {
|
||||
initial: VariableFormModel;
|
||||
/** Names of the other variables, for uniqueness validation. */
|
||||
existingNames: string[];
|
||||
isSaving: boolean;
|
||||
onClose: () => void;
|
||||
onSave: (model: VariableFormModel) => void;
|
||||
}
|
||||
|
||||
/**
|
||||
* In-drawer variable editor reproducing the V1 VariableItem layout, built on
|
||||
* @signozhq components (antd kept only for the monaco editor, TextArea, Collapse
|
||||
* and searchable selects). Master→detail: renders in place of the list.
|
||||
*/
|
||||
function VariableForm({
|
||||
initial,
|
||||
existingNames,
|
||||
isSaving,
|
||||
onClose,
|
||||
onSave,
|
||||
}: VariableFormProps): JSX.Element {
|
||||
const [model, setModel] = useState<VariableFormModel>(initial);
|
||||
const [previewValues, setPreviewValues] = useState<(string | number)[]>([]);
|
||||
const [previewError, setPreviewError] = useState<string | null>(null);
|
||||
const [defaultValue, setDefaultValue] = useState<string>(
|
||||
((initial.defaultValue as { value?: string })?.value ?? '') as string,
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
setModel(initial);
|
||||
setPreviewValues([]);
|
||||
setPreviewError(null);
|
||||
setDefaultValue(
|
||||
((initial.defaultValue as { value?: string })?.value ?? '') as string,
|
||||
);
|
||||
}, [initial]);
|
||||
|
||||
const set = (patch: Partial<VariableFormModel>): void =>
|
||||
setModel((prev) => ({ ...prev, ...patch }));
|
||||
|
||||
const selectType = (type: VariableType): void => {
|
||||
set({ type });
|
||||
setPreviewValues([]);
|
||||
setPreviewError(null);
|
||||
};
|
||||
|
||||
const onCustomChange = (value: string): void => {
|
||||
set({ customValue: value });
|
||||
setPreviewValues(
|
||||
sortValues(commaValuesParser(value), model.sort) as (string | number)[],
|
||||
);
|
||||
};
|
||||
|
||||
const trimmedName = model.name.trim();
|
||||
const nameError = getNameError(trimmedName, existingNames);
|
||||
|
||||
const isListType =
|
||||
model.type === 'QUERY' || model.type === 'CUSTOM' || model.type === 'DYNAMIC';
|
||||
const showAllOptionField = model.type === 'QUERY' || model.type === 'CUSTOM';
|
||||
|
||||
const handleSave = (): void => {
|
||||
onSave({
|
||||
...model,
|
||||
name: trimmedName,
|
||||
defaultValue: defaultValue ? { value: defaultValue } : undefined,
|
||||
});
|
||||
};
|
||||
|
||||
return (
|
||||
<>
|
||||
<div className={styles.container}>
|
||||
<div className={styles.allVariables}>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
className={styles.allVariablesBtn}
|
||||
prefix={<ArrowLeft size={14} />}
|
||||
onClick={onClose}
|
||||
testId="variable-form-back"
|
||||
>
|
||||
All variables
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
<div className={styles.content}>
|
||||
{/* Name */}
|
||||
<div className={cx(styles.row, styles.column)}>
|
||||
<Typography.Text className={styles.label}>Name</Typography.Text>
|
||||
<Input
|
||||
className={styles.input}
|
||||
value={model.name}
|
||||
placeholder="Unique name of the variable"
|
||||
onChange={(e): void => set({ name: e.target.value })}
|
||||
testId="variable-name-input"
|
||||
/>
|
||||
{nameError ? (
|
||||
<Typography.Text className={styles.errorText}>
|
||||
{nameError}
|
||||
</Typography.Text>
|
||||
) : null}
|
||||
</div>
|
||||
|
||||
{/* Description */}
|
||||
<div className={cx(styles.row, styles.column)}>
|
||||
<Typography.Text className={styles.label}>Description</Typography.Text>
|
||||
<AntdInput.TextArea
|
||||
className={styles.textarea}
|
||||
value={model.description}
|
||||
placeholder="Enter a description for the variable"
|
||||
rows={3}
|
||||
onChange={(e): void => set({ description: e.target.value })}
|
||||
data-testid="variable-description-input"
|
||||
/>
|
||||
</div>
|
||||
|
||||
{/* Variable Type */}
|
||||
<VariableTypeSelector value={model.type} onChange={selectType} />
|
||||
|
||||
{/* Type-specific body */}
|
||||
{model.type === 'DYNAMIC' ? (
|
||||
<DynamicVariableFields
|
||||
attribute={model.dynamicAttribute}
|
||||
signal={model.dynamicSignal}
|
||||
onChange={(patch): void => set(patch)}
|
||||
onPreview={setPreviewValues}
|
||||
/>
|
||||
) : null}
|
||||
|
||||
{model.type === 'QUERY' ? (
|
||||
<QueryVariableFields
|
||||
queryValue={model.queryValue}
|
||||
sort={model.sort}
|
||||
onChange={(queryValue): void => set({ queryValue })}
|
||||
onPreview={setPreviewValues}
|
||||
onError={setPreviewError}
|
||||
/>
|
||||
) : null}
|
||||
|
||||
{model.type === 'CUSTOM' ? (
|
||||
<div className={cx(styles.row, styles.customSection)}>
|
||||
<Collapse
|
||||
collapsible="header"
|
||||
rootClassName="custom-collapse"
|
||||
defaultActiveKey={['1']}
|
||||
items={[
|
||||
{
|
||||
key: '1',
|
||||
label: 'Options',
|
||||
children: (
|
||||
<AntdInput.TextArea
|
||||
value={model.customValue}
|
||||
placeholder="Enter options separated by commas."
|
||||
rootClassName="comma-input"
|
||||
onChange={(e): void => onCustomChange(e.target.value)}
|
||||
data-testid="variable-custom-input"
|
||||
/>
|
||||
),
|
||||
},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{model.type === 'TEXT' ? (
|
||||
<div className={cx(styles.row, styles.textboxSection)}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>
|
||||
Default Value
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Input
|
||||
className={styles.defaultInput}
|
||||
value={model.textValue}
|
||||
placeholder="Enter a default value (if any)..."
|
||||
onChange={(e): void => set({ textValue: e.target.value })}
|
||||
testId="variable-text-input"
|
||||
/>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{/* Shared rows for list-type variables */}
|
||||
{isListType ? (
|
||||
<>
|
||||
<div className={cx(styles.row, styles.previewSection)}>
|
||||
<Typography.Text className={styles.previewLabel}>
|
||||
Preview of Values
|
||||
</Typography.Text>
|
||||
<div className={styles.previewValues}>
|
||||
{previewError ? (
|
||||
<Typography.Text className={styles.previewError}>
|
||||
{previewError}
|
||||
</Typography.Text>
|
||||
) : (
|
||||
previewValues.map((value, idx) => (
|
||||
<Badge
|
||||
// eslint-disable-next-line react/no-array-index-key -- preview values are display-only and may contain duplicates
|
||||
key={`${value}-${idx}`}
|
||||
color="vanilla"
|
||||
>
|
||||
{value.toString()}
|
||||
</Badge>
|
||||
))
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className={cx(styles.row, styles.sortSection)}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>Sort Values</Typography.Text>
|
||||
</div>
|
||||
<SelectSimple
|
||||
className={styles.sortSelect}
|
||||
value={model.sort}
|
||||
items={VARIABLE_SORTS.map((sort) => ({
|
||||
label: SORT_LABEL[sort],
|
||||
value: sort,
|
||||
}))}
|
||||
onChange={(value): void => set({ sort: value as VariableSort })}
|
||||
testId="variable-sort-select"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className={cx(styles.row, styles.multiSection)}>
|
||||
<Typography.Text className={styles.rowLabel}>
|
||||
Enable multiple values to be checked
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
value={model.multiSelect}
|
||||
onChange={(checked): void => {
|
||||
set({
|
||||
multiSelect: checked,
|
||||
showAllOption: checked ? model.showAllOption : false,
|
||||
});
|
||||
}}
|
||||
testId="variable-multi-switch"
|
||||
/>
|
||||
</div>
|
||||
|
||||
{model.multiSelect && showAllOptionField ? (
|
||||
<div className={cx(styles.row, styles.allOptionSection)}>
|
||||
<Typography.Text className={styles.rowLabel}>
|
||||
Include an option for ALL values
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
value={model.showAllOption}
|
||||
onChange={(checked): void => set({ showAllOption: checked })}
|
||||
testId="variable-all-switch"
|
||||
/>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
<div className={cx(styles.row, styles.defaultValueSection)}>
|
||||
<div className={styles.labelContainer}>
|
||||
<Typography.Text className={styles.label}>
|
||||
Default Value
|
||||
</Typography.Text>
|
||||
<Typography.Text className={styles.defaultValueDesc}>
|
||||
{model.type === 'QUERY'
|
||||
? 'Click Test Run Query to see the values or add custom value'
|
||||
: 'Select a value from the preview values or add custom value'}
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Select
|
||||
className={styles.searchSelect}
|
||||
showSearch
|
||||
allowClear
|
||||
placeholder="Select a default value"
|
||||
value={defaultValue || undefined}
|
||||
onChange={(value): void => setDefaultValue(value ?? '')}
|
||||
options={previewValues.map((value) => ({
|
||||
label: value.toString(),
|
||||
value: value.toString(),
|
||||
}))}
|
||||
data-testid="variable-default-select"
|
||||
/>
|
||||
</div>
|
||||
</>
|
||||
) : null}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className={styles.footer}>
|
||||
<Button
|
||||
variant="solid"
|
||||
color="secondary"
|
||||
prefix={<X size={14} />}
|
||||
onClick={onClose}
|
||||
>
|
||||
Discard
|
||||
</Button>
|
||||
<Button
|
||||
variant="solid"
|
||||
color="primary"
|
||||
prefix={<Check size={14} />}
|
||||
disabled={!!nameError}
|
||||
loading={isSaving}
|
||||
onClick={handleSave}
|
||||
testId="variable-save"
|
||||
>
|
||||
Save Variable
|
||||
</Button>
|
||||
</div>
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
export default VariableForm;
|
||||
@@ -0,0 +1,99 @@
|
||||
import {
|
||||
ClipboardType,
|
||||
DatabaseZap,
|
||||
Info,
|
||||
LayoutList,
|
||||
Pyramid,
|
||||
} from '@signozhq/icons';
|
||||
import { Badge } from '@signozhq/ui/badge';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import cx from 'classnames';
|
||||
import TextToolTip from 'components/TextToolTip';
|
||||
|
||||
import type { VariableType } from '../variableModel';
|
||||
import styles from './VariableForm.module.scss';
|
||||
|
||||
interface VariableTypeSelectorProps {
|
||||
value: VariableType;
|
||||
onChange: (type: VariableType) => void;
|
||||
}
|
||||
|
||||
/** The segmented Dynamic / Textbox / Custom / Query type picker. */
|
||||
function VariableTypeSelector({
|
||||
value,
|
||||
onChange,
|
||||
}: VariableTypeSelectorProps): JSX.Element {
|
||||
return (
|
||||
<div className={cx(styles.row, styles.typeSection)}>
|
||||
<div className={styles.typeLabelContainer}>
|
||||
<Typography.Text className={styles.label}>Variable Type</Typography.Text>
|
||||
<TextToolTip
|
||||
text="Learn more about supported variable types"
|
||||
url="https://signoz.io/docs/userguide/manage-variables/#supported-variable-types"
|
||||
urlText="here"
|
||||
useFilledIcon={false}
|
||||
outlinedIcon={<Info size={14} />}
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.typeBtnGroup}>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
prefix={<Pyramid size={14} />}
|
||||
className={cx(styles.typeBtn, {
|
||||
[styles.typeBtnSelected]: value === 'DYNAMIC',
|
||||
})}
|
||||
onClick={(): void => onChange('DYNAMIC')}
|
||||
testId="variable-type-dynamic"
|
||||
>
|
||||
Dynamic
|
||||
<Badge color="robin" className={styles.betaTag}>
|
||||
Beta
|
||||
</Badge>
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
prefix={<ClipboardType size={14} />}
|
||||
className={cx(styles.typeBtn, {
|
||||
[styles.typeBtnSelected]: value === 'TEXT',
|
||||
})}
|
||||
onClick={(): void => onChange('TEXT')}
|
||||
testId="variable-type-textbox"
|
||||
>
|
||||
Textbox
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
prefix={<LayoutList size={14} />}
|
||||
className={cx(styles.typeBtn, {
|
||||
[styles.typeBtnSelected]: value === 'CUSTOM',
|
||||
})}
|
||||
onClick={(): void => onChange('CUSTOM')}
|
||||
testId="variable-type-custom"
|
||||
>
|
||||
Custom
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
prefix={<DatabaseZap size={14} />}
|
||||
className={cx(styles.typeBtn, {
|
||||
[styles.typeBtnSelected]: value === 'QUERY',
|
||||
})}
|
||||
onClick={(): void => onChange('QUERY')}
|
||||
testId="variable-type-query"
|
||||
>
|
||||
Query
|
||||
<Badge color="amber" className={styles.betaTag}>
|
||||
Not Recommended
|
||||
</Badge>
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default VariableTypeSelector;
|
||||
@@ -0,0 +1,101 @@
|
||||
.container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 16px;
|
||||
padding: 20px 16px;
|
||||
}
|
||||
|
||||
.header {
|
||||
display: flex;
|
||||
align-items: flex-start;
|
||||
justify-content: space-between;
|
||||
gap: 16px;
|
||||
}
|
||||
|
||||
.titleRow {
|
||||
display: flex;
|
||||
align-items: baseline;
|
||||
flex-wrap: wrap;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.title {
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
color: var(--l1-foreground);
|
||||
}
|
||||
|
||||
.subtitle {
|
||||
font-size: 12px;
|
||||
color: var(--l2-foreground);
|
||||
}
|
||||
|
||||
.empty {
|
||||
padding: 32px;
|
||||
text-align: center;
|
||||
border: 1px dashed var(--l1-border);
|
||||
border-radius: 4px;
|
||||
color: var(--l2-foreground);
|
||||
}
|
||||
|
||||
.list {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: 12px;
|
||||
padding: 10px 12px;
|
||||
border: 1px solid var(--l1-border);
|
||||
border-radius: 4px;
|
||||
background: var(--l1-background);
|
||||
}
|
||||
|
||||
.rowMain {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.varName {
|
||||
font-weight: 500;
|
||||
color: var(--l1-foreground);
|
||||
}
|
||||
|
||||
.varDesc {
|
||||
min-width: 0;
|
||||
overflow: hidden;
|
||||
font-size: 12px;
|
||||
color: var(--l2-foreground);
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.typeTag {
|
||||
flex-shrink: 0;
|
||||
padding: 1px 8px;
|
||||
font-size: 11px;
|
||||
letter-spacing: 0.04em;
|
||||
color: var(--l2-foreground);
|
||||
text-transform: uppercase;
|
||||
background: var(--l2-background);
|
||||
border-radius: 10px;
|
||||
}
|
||||
|
||||
.rowActions {
|
||||
display: flex;
|
||||
flex-shrink: 0;
|
||||
align-items: center;
|
||||
gap: 2px;
|
||||
}
|
||||
|
||||
.confirmText {
|
||||
margin-right: 4px;
|
||||
font-size: 12px;
|
||||
color: var(--l2-foreground);
|
||||
}
|
||||
@@ -0,0 +1,139 @@
|
||||
import {
|
||||
Check,
|
||||
ChevronDown,
|
||||
ChevronUp,
|
||||
PenLine,
|
||||
Trash2,
|
||||
X,
|
||||
} from '@signozhq/icons';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
|
||||
import type { VariableFormModel } from './variableModel';
|
||||
import styles from './Variables.module.scss';
|
||||
|
||||
const TYPE_LABEL: Record<VariableFormModel['type'], string> = {
|
||||
QUERY: 'Query',
|
||||
CUSTOM: 'Custom',
|
||||
TEXT: 'Text',
|
||||
DYNAMIC: 'Dynamic',
|
||||
};
|
||||
|
||||
interface VariablesListProps {
|
||||
variables: VariableFormModel[];
|
||||
canEdit: boolean;
|
||||
/** Index whose delete is awaiting inline confirmation, if any. */
|
||||
confirmingIndex: number | null;
|
||||
onEdit: (index: number) => void;
|
||||
onRequestDelete: (index: number) => void;
|
||||
onConfirmDelete: (index: number) => void;
|
||||
onCancelDelete: () => void;
|
||||
onMove: (from: number, to: number) => void;
|
||||
}
|
||||
|
||||
function VariablesList({
|
||||
variables,
|
||||
canEdit,
|
||||
confirmingIndex,
|
||||
onEdit,
|
||||
onRequestDelete,
|
||||
onConfirmDelete,
|
||||
onCancelDelete,
|
||||
onMove,
|
||||
}: VariablesListProps): JSX.Element {
|
||||
return (
|
||||
<div className={styles.list} data-testid="variables-list">
|
||||
{variables.map((variable, index) => (
|
||||
<div
|
||||
className={styles.row}
|
||||
key={variable.name || `variable-${index}`}
|
||||
data-testid={`variable-row-${variable.name}`}
|
||||
>
|
||||
<div className={styles.rowMain}>
|
||||
<Typography.Text className={styles.varName}>
|
||||
${variable.name}
|
||||
</Typography.Text>
|
||||
<span className={styles.typeTag}>{TYPE_LABEL[variable.type]}</span>
|
||||
{variable.description ? (
|
||||
<Typography.Text className={styles.varDesc}>
|
||||
{variable.description}
|
||||
</Typography.Text>
|
||||
) : null}
|
||||
</div>
|
||||
|
||||
{canEdit && confirmingIndex === index ? (
|
||||
<div className={styles.rowActions}>
|
||||
<Typography.Text className={styles.confirmText}>Delete?</Typography.Text>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="destructive"
|
||||
size="icon"
|
||||
onClick={(): void => onConfirmDelete(index)}
|
||||
aria-label="Confirm delete"
|
||||
testId={`variable-delete-confirm-${variable.name}`}
|
||||
>
|
||||
<Check size={14} />
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
size="icon"
|
||||
onClick={onCancelDelete}
|
||||
aria-label="Cancel delete"
|
||||
>
|
||||
<X size={14} />
|
||||
</Button>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{canEdit && confirmingIndex !== index ? (
|
||||
<div className={styles.rowActions}>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
size="icon"
|
||||
disabled={index === 0}
|
||||
onClick={(): void => onMove(index, index - 1)}
|
||||
aria-label="Move up"
|
||||
>
|
||||
<ChevronUp size={14} />
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
size="icon"
|
||||
disabled={index === variables.length - 1}
|
||||
onClick={(): void => onMove(index, index + 1)}
|
||||
aria-label="Move down"
|
||||
>
|
||||
<ChevronDown size={14} />
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
size="icon"
|
||||
onClick={(): void => onEdit(index)}
|
||||
aria-label="Edit variable"
|
||||
testId={`variable-edit-${variable.name}`}
|
||||
>
|
||||
<PenLine size={14} />
|
||||
</Button>
|
||||
<Button
|
||||
variant="ghost"
|
||||
color="secondary"
|
||||
size="icon"
|
||||
onClick={(): void => onRequestDelete(index)}
|
||||
aria-label="Delete variable"
|
||||
testId={`variable-delete-${variable.name}`}
|
||||
>
|
||||
<Trash2 size={14} />
|
||||
</Button>
|
||||
</div>
|
||||
) : null}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default VariablesList;
|
||||
@@ -0,0 +1,147 @@
|
||||
import { useEffect, useMemo, useState } from 'react';
|
||||
import { Plus } from '@signozhq/icons';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import { Typography } from '@signozhq/ui/typography';
|
||||
import type { DashboardtypesGettableDashboardV2DTO } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import { useDashboardStore } from '../../store/useDashboardStore';
|
||||
import { useSaveVariables } from './useSaveVariables';
|
||||
import { dtoToFormModel } from './variableAdapters';
|
||||
import {
|
||||
emptyVariableFormModel,
|
||||
type VariableFormModel,
|
||||
} from './variableModel';
|
||||
import VariableForm from './VariableForm/VariableForm';
|
||||
import VariablesList from './VariablesList';
|
||||
import styles from './Variables.module.scss';
|
||||
|
||||
interface VariablesSettingsProps {
|
||||
dashboard: DashboardtypesGettableDashboardV2DTO;
|
||||
}
|
||||
|
||||
/** `null` index = adding a new variable; a number = editing that row. */
|
||||
type EditingState = { index: number | null } | null;
|
||||
|
||||
function VariablesSettings({ dashboard }: VariablesSettingsProps): JSX.Element {
|
||||
const isEditable = useDashboardStore((s) => s.isEditable);
|
||||
const { save, isSaving } = useSaveVariables();
|
||||
|
||||
const initialModels = useMemo(
|
||||
() => (dashboard.spec?.variables ?? []).map(dtoToFormModel),
|
||||
[dashboard.spec?.variables],
|
||||
);
|
||||
const [variables, setVariables] = useState<VariableFormModel[]>(initialModels);
|
||||
|
||||
// Resync from the dashboard after a save round-trips (refetch bumps updatedAt).
|
||||
useEffect(() => {
|
||||
setVariables(initialModels);
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [dashboard.updatedAt]);
|
||||
|
||||
const [editing, setEditing] = useState<EditingState>(null);
|
||||
const [confirmDeleteIndex, setConfirmDeleteIndex] = useState<number | null>(
|
||||
null,
|
||||
);
|
||||
|
||||
const editingModel: VariableFormModel | null = useMemo(() => {
|
||||
if (!editing) {
|
||||
return null;
|
||||
}
|
||||
return editing.index === null
|
||||
? emptyVariableFormModel()
|
||||
: variables[editing.index];
|
||||
}, [editing, variables]);
|
||||
|
||||
const existingNames = useMemo(() => {
|
||||
const self = editing?.index ?? null;
|
||||
return variables.filter((_, i) => i !== self).map((v) => v.name);
|
||||
}, [variables, editing]);
|
||||
|
||||
const persist = (next: VariableFormModel[]): void => {
|
||||
setVariables(next);
|
||||
void save(next);
|
||||
};
|
||||
|
||||
const handleFormSave = (model: VariableFormModel): void => {
|
||||
const next = [...variables];
|
||||
if (editing?.index == null) {
|
||||
next.push(model);
|
||||
} else {
|
||||
next[editing.index] = model;
|
||||
}
|
||||
setEditing(null);
|
||||
persist(next);
|
||||
};
|
||||
|
||||
const handleMove = (from: number, to: number): void => {
|
||||
if (to < 0 || to >= variables.length) {
|
||||
return;
|
||||
}
|
||||
const next = [...variables];
|
||||
const [moved] = next.splice(from, 1);
|
||||
next.splice(to, 0, moved);
|
||||
persist(next);
|
||||
};
|
||||
|
||||
const handleConfirmDelete = (index: number): void => {
|
||||
persist(variables.filter((_, i) => i !== index));
|
||||
setConfirmDeleteIndex(null);
|
||||
};
|
||||
|
||||
// Detail view — edit/new form replaces the list in place (no modal).
|
||||
if (editingModel) {
|
||||
return (
|
||||
<VariableForm
|
||||
initial={editingModel}
|
||||
existingNames={existingNames}
|
||||
isSaving={isSaving}
|
||||
onClose={(): void => setEditing(null)}
|
||||
onSave={handleFormSave}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
// Master view — the variables list.
|
||||
return (
|
||||
<div className={styles.container}>
|
||||
<div className={styles.header}>
|
||||
<div className={styles.titleRow}>
|
||||
<Typography.Text className={styles.title}>Variables</Typography.Text>
|
||||
<Typography.Text className={styles.subtitle}>
|
||||
Define variables to parameterize panel queries.
|
||||
</Typography.Text>
|
||||
</div>
|
||||
{isEditable ? (
|
||||
<Button
|
||||
variant="solid"
|
||||
color="primary"
|
||||
prefix={<Plus size={14} />}
|
||||
onClick={(): void => setEditing({ index: null })}
|
||||
testId="add-variable"
|
||||
>
|
||||
New variable
|
||||
</Button>
|
||||
) : null}
|
||||
</div>
|
||||
|
||||
{variables.length === 0 ? (
|
||||
<div className={styles.empty}>
|
||||
<Typography.Text>No variables defined yet.</Typography.Text>
|
||||
</div>
|
||||
) : (
|
||||
<VariablesList
|
||||
variables={variables}
|
||||
canEdit={isEditable}
|
||||
confirmingIndex={confirmDeleteIndex}
|
||||
onEdit={(index): void => setEditing({ index })}
|
||||
onRequestDelete={(index): void => setConfirmDeleteIndex(index)}
|
||||
onConfirmDelete={handleConfirmDelete}
|
||||
onCancelDelete={(): void => setConfirmDeleteIndex(null)}
|
||||
onMove={handleMove}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default VariablesSettings;
|
||||
@@ -0,0 +1,51 @@
|
||||
import { useCallback, useState } from 'react';
|
||||
import { patchDashboardV2 } from 'api/generated/services/dashboard';
|
||||
import { toast } from '@signozhq/ui/sonner';
|
||||
import { useErrorModal } from 'providers/ErrorModalProvider';
|
||||
import APIError from 'types/api/error';
|
||||
|
||||
import { useDashboardStore } from '../../store/useDashboardStore';
|
||||
import { formModelToDto } from './variableAdapters';
|
||||
import type { VariableFormModel } from './variableModel';
|
||||
import { buildVariablesPatch } from './variablePatchOps';
|
||||
|
||||
interface UseSaveVariables {
|
||||
save: (variables: VariableFormModel[]) => Promise<boolean>;
|
||||
isSaving: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Persists the dashboard's variable list via a single `/spec/variables` patch,
|
||||
* then refetches. Mirrors the General-settings save flow (patch → toast →
|
||||
* refetch → surface errors).
|
||||
*/
|
||||
export function useSaveVariables(): UseSaveVariables {
|
||||
const dashboardId = useDashboardStore((s) => s.dashboardId);
|
||||
const refetch = useDashboardStore((s) => s.refetch);
|
||||
const { showErrorModal } = useErrorModal();
|
||||
const [isSaving, setIsSaving] = useState(false);
|
||||
|
||||
const save = useCallback(
|
||||
async (variables: VariableFormModel[]): Promise<boolean> => {
|
||||
if (!dashboardId) {
|
||||
return false;
|
||||
}
|
||||
const dtos = variables.map(formModelToDto);
|
||||
try {
|
||||
setIsSaving(true);
|
||||
await patchDashboardV2({ id: dashboardId }, buildVariablesPatch(dtos));
|
||||
toast.success('Variables updated');
|
||||
refetch();
|
||||
return true;
|
||||
} catch (error) {
|
||||
showErrorModal(error as APIError);
|
||||
return false;
|
||||
} finally {
|
||||
setIsSaving(false);
|
||||
}
|
||||
},
|
||||
[dashboardId, refetch, showErrorModal],
|
||||
);
|
||||
|
||||
return { save, isSaving };
|
||||
}
|
||||
@@ -0,0 +1,153 @@
|
||||
import {
|
||||
DashboardtypesVariableEnvelopeGithubComPersesSpecGoDashboardTextVariableSpecDTOKind as TextEnvelopeKind,
|
||||
DashboardtypesVariableEnvelopeGithubComSigNozSignozPkgTypesDashboardtypesListVariableSpecDTOKind as ListEnvelopeKind,
|
||||
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesCustomVariableSpecDTOKind as CustomPluginKind,
|
||||
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesDynamicVariableSpecDTOKind as DynamicPluginKind,
|
||||
DashboardtypesVariablePluginVariantGithubComSigNozSignozPkgTypesDashboardtypesQueryVariableSpecDTOKind as QueryPluginKind,
|
||||
TelemetrytypesSignalDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import type {
|
||||
DashboardtypesListVariableSpecDTO,
|
||||
DashboardtypesVariableDTO,
|
||||
DashboardtypesVariablePluginDTO,
|
||||
DashboardTextVariableSpecDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import {
|
||||
emptyVariableFormModel,
|
||||
PLUGIN_KIND,
|
||||
type TelemetrySignal,
|
||||
type VariableFormModel,
|
||||
type VariableSort,
|
||||
} from './variableModel';
|
||||
|
||||
/** DTO envelope → flat form model (for display / editing). */
|
||||
export function dtoToFormModel(
|
||||
dto: DashboardtypesVariableDTO,
|
||||
): VariableFormModel {
|
||||
const base = emptyVariableFormModel();
|
||||
const display = dto.spec?.display;
|
||||
const common: VariableFormModel = {
|
||||
...base,
|
||||
name: dto.spec?.name ?? display?.name ?? '',
|
||||
description: display?.description ?? '',
|
||||
};
|
||||
|
||||
// Text variable — a distinct envelope (no list plugin).
|
||||
if (dto.kind === TextEnvelopeKind.TextVariable) {
|
||||
const spec = dto.spec as DashboardTextVariableSpecDTO;
|
||||
return {
|
||||
...common,
|
||||
type: 'TEXT',
|
||||
textValue: spec.value ?? '',
|
||||
textConstant: spec.constant ?? false,
|
||||
};
|
||||
}
|
||||
|
||||
// List variable — Query / Custom / Dynamic, distinguished by plugin.kind.
|
||||
const spec = dto.spec as DashboardtypesListVariableSpecDTO;
|
||||
const listCommon: VariableFormModel = {
|
||||
...common,
|
||||
multiSelect: spec.allowMultiple ?? false,
|
||||
showAllOption: spec.allowAllValue ?? false,
|
||||
sort: (spec.sort as VariableSort) ?? 'DISABLED',
|
||||
defaultValue: spec.defaultValue,
|
||||
};
|
||||
const plugin = spec.plugin;
|
||||
|
||||
if (plugin?.kind === CustomPluginKind['signoz/CustomVariable']) {
|
||||
return {
|
||||
...listCommon,
|
||||
type: 'CUSTOM',
|
||||
customValue: plugin.spec.customValue ?? '',
|
||||
};
|
||||
}
|
||||
if (plugin?.kind === DynamicPluginKind['signoz/DynamicVariable']) {
|
||||
return {
|
||||
...listCommon,
|
||||
type: 'DYNAMIC',
|
||||
dynamicAttribute: plugin.spec.name ?? '',
|
||||
dynamicSignal: (plugin.spec.signal as TelemetrySignal) ?? 'traces',
|
||||
};
|
||||
}
|
||||
// Default to Query (also covers a query plugin or a missing/unknown plugin).
|
||||
return {
|
||||
...listCommon,
|
||||
type: 'QUERY',
|
||||
queryValue:
|
||||
plugin?.kind === QueryPluginKind['signoz/QueryVariable']
|
||||
? (plugin.spec.queryValue ?? '')
|
||||
: '',
|
||||
};
|
||||
}
|
||||
|
||||
function buildPlugin(
|
||||
model: VariableFormModel,
|
||||
): DashboardtypesVariablePluginDTO {
|
||||
switch (model.type) {
|
||||
case 'CUSTOM':
|
||||
return {
|
||||
kind: CustomPluginKind['signoz/CustomVariable'],
|
||||
spec: { customValue: model.customValue },
|
||||
};
|
||||
case 'DYNAMIC':
|
||||
return {
|
||||
kind: DynamicPluginKind['signoz/DynamicVariable'],
|
||||
spec: {
|
||||
name: model.dynamicAttribute,
|
||||
signal: model.dynamicSignal as TelemetrytypesSignalDTO,
|
||||
},
|
||||
};
|
||||
case 'QUERY':
|
||||
default:
|
||||
return {
|
||||
kind: QueryPluginKind['signoz/QueryVariable'],
|
||||
spec: { queryValue: model.queryValue },
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/** Flat form model → DTO envelope (for persistence). */
|
||||
export function formModelToDto(
|
||||
model: VariableFormModel,
|
||||
): DashboardtypesVariableDTO {
|
||||
const display = {
|
||||
name: model.name,
|
||||
description: model.description,
|
||||
hidden: model.hidden,
|
||||
};
|
||||
|
||||
if (model.type === 'TEXT') {
|
||||
return {
|
||||
kind: TextEnvelopeKind.TextVariable,
|
||||
spec: {
|
||||
name: model.name,
|
||||
display,
|
||||
value: model.textValue,
|
||||
constant: model.textConstant,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
kind: ListEnvelopeKind.ListVariable,
|
||||
spec: {
|
||||
name: model.name,
|
||||
display,
|
||||
allowMultiple: model.multiSelect,
|
||||
allowAllValue: model.showAllOption,
|
||||
sort: model.sort,
|
||||
defaultValue: model.defaultValue,
|
||||
plugin: buildPlugin(model),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
/** Maps the V2 plugin/envelope to the four UI-facing variable types. */
|
||||
export function variableTypeOf(
|
||||
dto: DashboardtypesVariableDTO,
|
||||
): VariableFormModel['type'] {
|
||||
return dtoToFormModel(dto).type;
|
||||
}
|
||||
|
||||
export { PLUGIN_KIND };
|
||||
@@ -0,0 +1,78 @@
|
||||
import type { VariableDefaultValueDTO } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
/**
|
||||
* Flat, UI-friendly representation of a V2 dashboard variable. The wire format
|
||||
* (`DashboardtypesVariableDTO`) is a nested envelope/plugin union that is awkward
|
||||
* to bind a form to; `variableAdapters` converts between this model and the DTO.
|
||||
*/
|
||||
|
||||
export type VariableType = 'QUERY' | 'CUSTOM' | 'TEXT' | 'DYNAMIC';
|
||||
|
||||
export type VariableSort = 'DISABLED' | 'ASC' | 'DESC';
|
||||
|
||||
export type TelemetrySignal = 'traces' | 'logs' | 'metrics';
|
||||
|
||||
/** Wire `kind` discriminators (string values of the generated enums). */
|
||||
export const ENVELOPE_KIND = {
|
||||
LIST: 'ListVariable',
|
||||
TEXT: 'TextVariable',
|
||||
} as const;
|
||||
|
||||
export const PLUGIN_KIND = {
|
||||
QUERY: 'signoz/QueryVariable',
|
||||
CUSTOM: 'signoz/CustomVariable',
|
||||
DYNAMIC: 'signoz/DynamicVariable',
|
||||
} as const;
|
||||
|
||||
export const VARIABLE_SORTS: VariableSort[] = ['DISABLED', 'ASC', 'DESC'];
|
||||
|
||||
export const TELEMETRY_SIGNALS: TelemetrySignal[] = [
|
||||
'traces',
|
||||
'logs',
|
||||
'metrics',
|
||||
];
|
||||
|
||||
export interface VariableFormModel {
|
||||
/** Stable identifier, referenced in queries (e.g. `$name`); must be unique. */
|
||||
name: string;
|
||||
description: string;
|
||||
hidden: boolean;
|
||||
type: VariableType;
|
||||
|
||||
// List-variable common fields (Query / Custom / Dynamic).
|
||||
multiSelect: boolean;
|
||||
showAllOption: boolean;
|
||||
sort: VariableSort;
|
||||
|
||||
// Type-specific.
|
||||
queryValue: string; // QUERY
|
||||
customValue: string; // CUSTOM
|
||||
textValue: string; // TEXT
|
||||
textConstant: boolean; // TEXT
|
||||
dynamicAttribute: string; // DYNAMIC — the telemetry field name
|
||||
dynamicSignal: TelemetrySignal; // DYNAMIC — the telemetry signal
|
||||
|
||||
/**
|
||||
* Runtime-selected default, not editable in the management tab yet; carried
|
||||
* through edits so saving a definition doesn't clobber it.
|
||||
*/
|
||||
defaultValue?: VariableDefaultValueDTO;
|
||||
}
|
||||
|
||||
export function emptyVariableFormModel(): VariableFormModel {
|
||||
return {
|
||||
name: '',
|
||||
description: '',
|
||||
hidden: false,
|
||||
type: 'QUERY',
|
||||
multiSelect: false,
|
||||
showAllOption: false,
|
||||
sort: 'DISABLED',
|
||||
queryValue: '',
|
||||
customValue: '',
|
||||
textValue: '',
|
||||
textConstant: false,
|
||||
dynamicAttribute: '',
|
||||
dynamicSignal: 'traces',
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
import type {
|
||||
DashboardtypesJSONPatchOperationDTO,
|
||||
DashboardtypesVariableDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
/**
|
||||
* Builds the JSON-Patch to persist the dashboard's variable list. Add/edit/
|
||||
* delete/reorder all replace the whole `/spec/variables` array in one atomic op
|
||||
* — simpler and race-free vs per-index patches. RFC-6902 `add` on an object
|
||||
* member sets-or-replaces, so it works whether or not `variables` already exists.
|
||||
*/
|
||||
export function buildVariablesPatch(
|
||||
variables: DashboardtypesVariableDTO[],
|
||||
): DashboardtypesJSONPatchOperationDTO[] {
|
||||
return [
|
||||
{
|
||||
op: 'add' as DashboardtypesJSONPatchOperationDTO['op'],
|
||||
path: '/spec/variables',
|
||||
value: variables,
|
||||
},
|
||||
];
|
||||
}
|
||||
@@ -1,48 +1,39 @@
|
||||
import { useMemo } from 'react';
|
||||
|
||||
import { Braces, Globe, Table } from '@signozhq/icons';
|
||||
import { Tabs } from '@signozhq/ui/tabs';
|
||||
import { TabItemProps, Tabs } from '@signozhq/ui/tabs';
|
||||
import type { DashboardtypesGettableDashboardV2DTO } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import GeneralSettings from './General';
|
||||
import { SettingsTabPlaceholder } from './utils';
|
||||
|
||||
import styles from './DashboardSettings.module.scss';
|
||||
import VariablesSettings from './Variables';
|
||||
|
||||
interface DashboardSettingsProps {
|
||||
dashboard: DashboardtypesGettableDashboardV2DTO;
|
||||
}
|
||||
|
||||
function tabLabel(icon: JSX.Element, text: string): JSX.Element {
|
||||
return (
|
||||
<span className={styles.tabLabel}>
|
||||
{icon}
|
||||
{text}
|
||||
</span>
|
||||
);
|
||||
}
|
||||
|
||||
function DashboardSettings({ dashboard }: DashboardSettingsProps): JSX.Element {
|
||||
const items = useMemo(
|
||||
const items: TabItemProps[] = useMemo(
|
||||
() => [
|
||||
{
|
||||
key: 'general',
|
||||
label: tabLabel(<Table size={14} />, 'General'),
|
||||
label: 'General',
|
||||
children: <GeneralSettings dashboard={dashboard} />,
|
||||
prefixIcon: <Table size={14} />,
|
||||
},
|
||||
{
|
||||
key: 'variables',
|
||||
label: tabLabel(<Braces size={14} />, 'Variables'),
|
||||
children: (
|
||||
<SettingsTabPlaceholder message="V2 dashboard variables coming next." />
|
||||
),
|
||||
label: 'Variables',
|
||||
children: <VariablesSettings dashboard={dashboard} />,
|
||||
prefixIcon: <Braces size={14} />,
|
||||
},
|
||||
{
|
||||
key: 'public-dashboard',
|
||||
label: tabLabel(<Globe size={14} />, 'Publish'),
|
||||
label: 'Publish',
|
||||
children: (
|
||||
<SettingsTabPlaceholder message="V2 public dashboard publishing coming next." />
|
||||
),
|
||||
prefixIcon: <Globe size={14} />,
|
||||
},
|
||||
],
|
||||
[dashboard],
|
||||
|
||||
@@ -1,8 +1,12 @@
|
||||
.settings-page {
|
||||
max-height: 100vh;
|
||||
flex: 1;
|
||||
min-height: 0;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
overflow: hidden;
|
||||
|
||||
.settings-page-header {
|
||||
flex-shrink: 0;
|
||||
border-bottom: 1px solid var(--l1-border);
|
||||
background: var(--l1-background);
|
||||
backdrop-filter: blur(20px);
|
||||
@@ -24,13 +28,14 @@
|
||||
}
|
||||
|
||||
.settings-page-content-container {
|
||||
flex: 1;
|
||||
min-height: 0;
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
align-items: flex-start;
|
||||
align-items: stretch;
|
||||
|
||||
.settings-page-sidenav {
|
||||
width: 240px;
|
||||
height: calc(100vh - 48px);
|
||||
border-right: 1px solid var(--l1-border);
|
||||
background: var(--l1-background);
|
||||
padding-top: var(--padding-1);
|
||||
@@ -74,7 +79,6 @@
|
||||
|
||||
.settings-page-content {
|
||||
flex: 1;
|
||||
height: calc(100vh - 48px);
|
||||
background: var(--l1-background);
|
||||
padding: 10px 8px;
|
||||
overflow-y: auto;
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { useCallback, useEffect, useMemo, useState } from 'react';
|
||||
import { useHistory, useLocation, useParams } from 'react-router-dom';
|
||||
import { Skeleton } from 'antd';
|
||||
import useGetTraceFlamegraph from 'hooks/trace/useGetTraceFlamegraph';
|
||||
import useGetTraceFlamegraphV3 from 'hooks/trace/useGetTraceFlamegraphV3';
|
||||
import useUrlQuery from 'hooks/useUrlQuery';
|
||||
import { TraceDetailFlamegraphURLProps } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpanV3 } from 'types/api/trace/getTraceV3';
|
||||
@@ -53,6 +53,9 @@ function TraceFlamegraph({
|
||||
);
|
||||
|
||||
const previewFields = useTraceStore((s) => s.previewFields);
|
||||
// Gate the fetch until prefs load, else selectFields (in the query key)
|
||||
// repopulates and triggers a second fetch.
|
||||
const userPrefsReady = useTraceStore((s) => s.userPreferences !== null);
|
||||
|
||||
// Color-by fields baseline + user-picked preview fields. De-duped by `name`,
|
||||
// color-by entries first so their canonical metadata wins on collision.
|
||||
@@ -70,17 +73,14 @@ function TraceFlamegraph({
|
||||
data,
|
||||
isFetching,
|
||||
error: fetchError,
|
||||
} = useGetTraceFlamegraph({
|
||||
} = useGetTraceFlamegraphV3({
|
||||
traceId,
|
||||
selectedSpanId: selectedSpanIdForFetch,
|
||||
limit: FLAMEGRAPH_SPAN_LIMIT,
|
||||
selectFields: flamegraphSelectFields,
|
||||
enabled: !!traceId && userPrefsReady,
|
||||
});
|
||||
|
||||
const spans = useMemo(
|
||||
() => data?.payload?.spans || [],
|
||||
[data?.payload?.spans],
|
||||
);
|
||||
const spans = useMemo(() => data?.spans || [], [data?.spans]);
|
||||
|
||||
const {
|
||||
layout,
|
||||
@@ -99,8 +99,8 @@ function TraceFlamegraph({
|
||||
setFirstSpanAtFetchLevel={setFirstSpanAtFetchLevel}
|
||||
onSpanClick={handleSpanClick}
|
||||
traceMetadata={{
|
||||
startTime: data?.payload?.startTimestampMillis || 0,
|
||||
endTime: data?.payload?.endTimestampMillis || 0,
|
||||
startTime: data?.startTimestampMillis || 0,
|
||||
endTime: data?.endTimestampMillis || 0,
|
||||
}}
|
||||
filteredSpanIds={filteredSpanIds}
|
||||
isFilterActive={isFilterActive}
|
||||
@@ -124,7 +124,7 @@ function TraceFlamegraph({
|
||||
if (fetchError || workerError) {
|
||||
return <Error error={(fetchError || workerError) as any} />;
|
||||
}
|
||||
if (data?.payload?.spans && data.payload.spans.length === 0) {
|
||||
if (data?.spans && data.spans.length === 0) {
|
||||
return <div>No data found for trace {traceId}</div>;
|
||||
}
|
||||
return (
|
||||
@@ -134,17 +134,17 @@ function TraceFlamegraph({
|
||||
setFirstSpanAtFetchLevel={setFirstSpanAtFetchLevel}
|
||||
onSpanClick={handleSpanClick}
|
||||
traceMetadata={{
|
||||
startTime: data?.payload?.startTimestampMillis || 0,
|
||||
endTime: data?.payload?.endTimestampMillis || 0,
|
||||
startTime: data?.startTimestampMillis || 0,
|
||||
endTime: data?.endTimestampMillis || 0,
|
||||
}}
|
||||
filteredSpanIds={filteredSpanIds}
|
||||
isFilterActive={isFilterActive}
|
||||
/>
|
||||
);
|
||||
}, [
|
||||
data?.payload?.endTimestampMillis,
|
||||
data?.payload?.startTimestampMillis,
|
||||
data?.payload?.spans,
|
||||
data?.endTimestampMillis,
|
||||
data?.startTimestampMillis,
|
||||
data?.spans,
|
||||
fetchError,
|
||||
filteredSpanIds,
|
||||
firstSpanAtFetchLevel,
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
import { render } from '@testing-library/react';
|
||||
import useGetTraceFlamegraph from 'hooks/trace/useGetTraceFlamegraph';
|
||||
import useGetTraceFlamegraphV3 from 'hooks/trace/useGetTraceFlamegraphV3';
|
||||
import { AllTheProviders } from 'tests/test-utils';
|
||||
import { SpanV3 } from 'types/api/trace/getTraceV3';
|
||||
|
||||
import { FLAMEGRAPH_SPAN_LIMIT } from '../constants';
|
||||
import TraceFlamegraph from '../TraceFlamegraph';
|
||||
|
||||
jest.mock('hooks/trace/useGetTraceFlamegraph');
|
||||
jest.mock('hooks/trace/useGetTraceFlamegraphV3');
|
||||
|
||||
// Short-circuit the worker so the test doesn't depend on layout computation.
|
||||
jest.mock('../hooks/useVisualLayoutWorker', () => ({
|
||||
@@ -17,9 +17,8 @@ jest.mock('../hooks/useVisualLayoutWorker', () => ({
|
||||
}),
|
||||
}));
|
||||
|
||||
const mockUseGetTraceFlamegraph = useGetTraceFlamegraph as jest.MockedFunction<
|
||||
typeof useGetTraceFlamegraph
|
||||
>;
|
||||
const mockUseGetTraceFlamegraph =
|
||||
useGetTraceFlamegraphV3 as jest.MockedFunction<typeof useGetTraceFlamegraphV3>;
|
||||
|
||||
function renderFlamegraph(props: {
|
||||
selectedSpan: SpanV3 | undefined;
|
||||
@@ -45,7 +44,7 @@ describe('TraceFlamegraph - selectedSpanId pass-through', () => {
|
||||
beforeEach(() => {
|
||||
mockUseGetTraceFlamegraph.mockReset();
|
||||
mockUseGetTraceFlamegraph.mockReturnValue({
|
||||
data: { payload: { spans: [] } },
|
||||
data: { spans: [] },
|
||||
isFetching: false,
|
||||
error: null,
|
||||
} as never);
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import {
|
||||
computeVisualLayout,
|
||||
@@ -14,12 +14,12 @@ function makeSpan(
|
||||
): FlamegraphSpan {
|
||||
return {
|
||||
parentSpanId: '',
|
||||
traceId: 'trace-1',
|
||||
hasError: false,
|
||||
serviceName: 'svc',
|
||||
name: 'op',
|
||||
level: 0,
|
||||
event: [],
|
||||
resource: {},
|
||||
attributes: {},
|
||||
...overrides,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
/** Minimal FlamegraphSpan for unit tests */
|
||||
export const MOCK_SPAN: FlamegraphSpan = {
|
||||
@@ -6,12 +6,12 @@ export const MOCK_SPAN: FlamegraphSpan = {
|
||||
durationNano: 50_000_000, // 50ms
|
||||
spanId: 'span-1',
|
||||
parentSpanId: '',
|
||||
traceId: 'trace-1',
|
||||
hasError: false,
|
||||
serviceName: 'test-service',
|
||||
name: 'test-span',
|
||||
level: 0,
|
||||
event: [],
|
||||
resource: {},
|
||||
attributes: {},
|
||||
};
|
||||
|
||||
/** Nested spans structure for findSpanById tests */
|
||||
|
||||
@@ -65,37 +65,25 @@ describe('Presentation / Styling Utils', () => {
|
||||
describe('getFlamegraphSpanGroupValue', () => {
|
||||
it('returns resource[field.name] when present', () => {
|
||||
const value = getFlamegraphSpanGroupValue(
|
||||
{
|
||||
serviceName: 'legacy',
|
||||
resource: { 'service.name': 'svc-from-resource' },
|
||||
},
|
||||
{ resource: { 'service.name': 'svc-from-resource' } },
|
||||
SERVICE_FIELD,
|
||||
);
|
||||
expect(value).toBe('svc-from-resource');
|
||||
});
|
||||
|
||||
it('falls back to top-level serviceName for service.name when resource is empty', () => {
|
||||
const value = getFlamegraphSpanGroupValue(
|
||||
{ serviceName: 'svc-legacy', resource: {} },
|
||||
SERVICE_FIELD,
|
||||
);
|
||||
expect(value).toBe('svc-legacy');
|
||||
it('returns "unknown" for service.name when resource is empty', () => {
|
||||
const value = getFlamegraphSpanGroupValue({ resource: {} }, SERVICE_FIELD);
|
||||
expect(value).toBe('unknown');
|
||||
});
|
||||
|
||||
it('returns "unknown" for non-service fields when resource is missing', () => {
|
||||
const value = getFlamegraphSpanGroupValue(
|
||||
{ serviceName: 'svc', resource: {} },
|
||||
HOST_FIELD,
|
||||
);
|
||||
const value = getFlamegraphSpanGroupValue({ resource: {} }, HOST_FIELD);
|
||||
expect(value).toBe('unknown');
|
||||
});
|
||||
|
||||
it('reads host.name from resource when present', () => {
|
||||
const value = getFlamegraphSpanGroupValue(
|
||||
{
|
||||
serviceName: 'svc',
|
||||
resource: { 'host.name': 'host-1' },
|
||||
},
|
||||
{ resource: { 'host.name': 'host-1' } },
|
||||
HOST_FIELD,
|
||||
);
|
||||
expect(value).toBe('host-1');
|
||||
|
||||
@@ -1,11 +1,10 @@
|
||||
/* eslint-disable sonarjs/cognitive-complexity */
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
export interface ConnectorLine {
|
||||
parentRow: number;
|
||||
childRow: number;
|
||||
timestampMs: number;
|
||||
serviceName: string;
|
||||
// Snapshot of the child span's resource so draw-time can resolve the
|
||||
// `colorByField` group value without crossing the worker boundary.
|
||||
resource?: Record<string, string>;
|
||||
@@ -159,24 +158,8 @@ export function computeVisualLayout(spans: FlamegraphSpan[][]): VisualLayout {
|
||||
}
|
||||
}
|
||||
|
||||
// Extract parentSpanId — the field may be missing at runtime when the API
|
||||
// returns `references` instead. Fall back to the first CHILD_OF reference.
|
||||
function getParentId(span: FlamegraphSpan): string {
|
||||
if (span.parentSpanId) {
|
||||
return span.parentSpanId;
|
||||
}
|
||||
// eslint-disable-next-line @typescript-eslint/no-explicit-any
|
||||
const refs = (span as any).references as
|
||||
| Array<{ spanId?: string; refType?: string }>
|
||||
| undefined;
|
||||
if (refs) {
|
||||
for (const ref of refs) {
|
||||
if (ref.refType === 'CHILD_OF' && ref.spanId) {
|
||||
return ref.spanId;
|
||||
}
|
||||
}
|
||||
}
|
||||
return '';
|
||||
return span.parentSpanId || '';
|
||||
}
|
||||
|
||||
// Build children map and identify roots
|
||||
@@ -480,7 +463,6 @@ export function computeVisualLayout(spans: FlamegraphSpan[][]): VisualLayout {
|
||||
parentRow,
|
||||
childRow,
|
||||
timestampMs: child.timestamp,
|
||||
serviceName: child.serviceName,
|
||||
resource: child.resource,
|
||||
});
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import React, { RefObject, useCallback, useMemo, useRef } from 'react';
|
||||
import { generateColorPair } from 'pages/TraceDetailsV3/utils/generateColorPair';
|
||||
import { useTraceStore } from 'pages/TraceDetailsV3/stores/traceStore';
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
import { TelemetryFieldKey } from 'types/api/v5/queryRange';
|
||||
|
||||
import { ConnectorLine } from '../computeVisualLayout';
|
||||
@@ -200,7 +200,7 @@ function drawConnectorLines(args: DrawConnectorLinesArgs): void {
|
||||
}
|
||||
|
||||
const groupValue = getFlamegraphSpanGroupValue(
|
||||
{ serviceName: conn.serviceName, resource: conn.resource },
|
||||
{ resource: conn.resource },
|
||||
colorByField,
|
||||
);
|
||||
const pair = generateColorPair(groupValue);
|
||||
|
||||
@@ -11,10 +11,9 @@ import {
|
||||
import { useTraceStore } from 'pages/TraceDetailsV3/stores/traceStore';
|
||||
import { RESERVED_PREVIEW_KEYS } from 'pages/TraceDetailsV3/SpanHoverCard/SpanHoverCard';
|
||||
import { getSpanAttribute } from 'pages/TraceDetailsV3/utils';
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import { EventRect, SpanRect } from '../types';
|
||||
import { ITraceMetadata } from '../types';
|
||||
import { EventRect, ITraceMetadata, SpanRect } from '../types';
|
||||
import {
|
||||
getFlamegraphServiceName,
|
||||
getFlamegraphSpanGroupValue,
|
||||
@@ -200,7 +199,7 @@ export function useFlamegraphHover(
|
||||
|
||||
if (eventRect) {
|
||||
const { event, span } = eventRect;
|
||||
const eventTimeMs = event.timeUnixNano / 1e6;
|
||||
const eventTimeMs = (event.timeUnixNano ?? 0) / 1e6;
|
||||
setHoveredEventKey(`${span.spanId}-${event.name}-${event.timeUnixNano}`);
|
||||
setHoveredSpanId(span.spanId);
|
||||
setTooltipContent({
|
||||
@@ -220,10 +219,10 @@ export function useFlamegraphHover(
|
||||
return isDarkMode ? pair.color : pair.colorDark;
|
||||
})(),
|
||||
event: {
|
||||
name: event.name,
|
||||
name: event.name ?? '',
|
||||
timeOffsetMs: eventTimeMs - span.timestamp,
|
||||
isError: event.isError,
|
||||
attributeMap: event.attributeMap || {},
|
||||
isError: event.isError ?? false,
|
||||
attributeMap: (event.attributeMap as Record<string, string>) ?? {},
|
||||
},
|
||||
});
|
||||
updateCursor(canvas, eventRect.span);
|
||||
|
||||
@@ -5,7 +5,7 @@ import {
|
||||
SetStateAction,
|
||||
useEffect,
|
||||
} from 'react';
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import { MIN_VISIBLE_SPAN_MS } from '../constants';
|
||||
import { ITraceMetadata } from '../types';
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { useEffect, useRef, useState } from 'react';
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import { computeVisualLayout, VisualLayout } from '../computeVisualLayout';
|
||||
import { LayoutWorkerResponse } from '../visualLayoutWorkerTypes';
|
||||
|
||||
@@ -1,5 +1,8 @@
|
||||
import {
|
||||
SpantypesEventDTO as FlamegraphEvent,
|
||||
SpantypesFlamegraphSpanDTO as FlamegraphSpan,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { Dispatch, SetStateAction } from 'react';
|
||||
import { Event, FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
|
||||
import { VisualLayout } from './computeVisualLayout';
|
||||
|
||||
@@ -28,7 +31,7 @@ export interface SpanRect {
|
||||
}
|
||||
|
||||
export interface EventRect {
|
||||
event: Event;
|
||||
event: FlamegraphEvent;
|
||||
span: FlamegraphSpan;
|
||||
cx: number;
|
||||
cy: number;
|
||||
|
||||
@@ -7,7 +7,7 @@ import {
|
||||
generateColorPair,
|
||||
RESERVED_ERROR,
|
||||
} from 'pages/TraceDetailsV3/utils/generateColorPair';
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
import { TelemetryFieldKey } from 'types/api/v5/queryRange';
|
||||
|
||||
import {
|
||||
@@ -74,34 +74,25 @@ export function getFlamegraphRowMetrics(
|
||||
|
||||
/**
|
||||
* Resolve the displayed service.name for a flamegraph span. Used by tooltips
|
||||
* (service identity, independent of the active colour-by field). Prefers
|
||||
* `resource['service.name']` with legacy top-level `serviceName` fallback.
|
||||
* (service identity, independent of the active colour-by field). Reads
|
||||
* `resource['service.name']`.
|
||||
*/
|
||||
export function getFlamegraphServiceName(
|
||||
span: Pick<FlamegraphSpan, 'serviceName' | 'resource' | 'attributes'>,
|
||||
span: Partial<Pick<FlamegraphSpan, 'resource' | 'attributes'>>,
|
||||
): string {
|
||||
return getSpanAttribute(span, 'service.name') || span.serviceName || '';
|
||||
return getSpanAttribute(span, 'service.name') || '';
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the value used to bucket a flamegraph span by colour for the given
|
||||
* field. Prefers `resource[field.name]` (new contract from `selectFields`).
|
||||
* For `service.name`, falls back to the legacy top-level `serviceName` when
|
||||
* resource is empty (backward-compat with backends that haven't shipped
|
||||
* `selectFields` yet). For other fields, falls back to `'unknown'`.
|
||||
* field. Prefers `resource[field.name]` (contract from `selectFields`), falling
|
||||
* back to `'unknown'`.
|
||||
*/
|
||||
export function getFlamegraphSpanGroupValue(
|
||||
span: Pick<FlamegraphSpan, 'serviceName' | 'resource' | 'attributes'>,
|
||||
span: Partial<Pick<FlamegraphSpan, 'resource' | 'attributes'>>,
|
||||
field: TelemetryFieldKey,
|
||||
): string {
|
||||
const fromAttribute = getSpanAttribute(span, field.name);
|
||||
if (fromAttribute) {
|
||||
return fromAttribute;
|
||||
}
|
||||
if (field.name === 'service.name') {
|
||||
return span.serviceName || 'unknown';
|
||||
}
|
||||
return 'unknown';
|
||||
return getSpanAttribute(span, field.name) || 'unknown';
|
||||
}
|
||||
|
||||
interface GetSpanColorArgs {
|
||||
@@ -296,7 +287,7 @@ export function drawSpanBar(args: DrawSpanBarArgs): void {
|
||||
return;
|
||||
}
|
||||
|
||||
const eventTimeMs = event.timeUnixNano / 1e6;
|
||||
const eventTimeMs = (event.timeUnixNano ?? 0) / 1e6;
|
||||
const eventOffsetPercent =
|
||||
((eventTimeMs - span.timestamp) / spanDurationMs) * 100;
|
||||
const clampedOffset = clamp(eventOffsetPercent, 1, 99);
|
||||
@@ -306,7 +297,11 @@ export function drawSpanBar(args: DrawSpanBarArgs): void {
|
||||
// Event dots derive from the effective bar color so they track the
|
||||
// light/dark variant the bar is rendered with.
|
||||
const parentBarColor = isDarkMode ? color : colorDark;
|
||||
const dotColor = getEventDotColor(parentBarColor, event.isError, isDarkMode);
|
||||
const dotColor = getEventDotColor(
|
||||
parentBarColor,
|
||||
event.isError ?? false,
|
||||
isDarkMode,
|
||||
);
|
||||
const eventKey = `${span.spanId}-${event.name}-${event.timeUnixNano}`;
|
||||
const isEventHovered = hoveredEventKey === eventKey;
|
||||
const dotSize = isEventHovered
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { FlamegraphSpan } from 'types/api/trace/getTraceFlamegraph';
|
||||
import { SpantypesFlamegraphSpanDTO as FlamegraphSpan } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import { VisualLayout } from './computeVisualLayout';
|
||||
|
||||
|
||||
@@ -19,17 +19,14 @@ import {
|
||||
} from 'components/CustomTimePicker/timezoneUtils';
|
||||
import { LOCALSTORAGE } from 'constants/localStorage';
|
||||
import useTimezoneFormatter, {
|
||||
TimestampInput,
|
||||
FormatTimezoneAdjustedTimestamp,
|
||||
} from 'hooks/useTimezoneFormatter/useTimezoneFormatter';
|
||||
|
||||
export interface TimezoneContextType {
|
||||
timezone: Timezone;
|
||||
browserTimezone: Timezone;
|
||||
updateTimezone: (timezone: Timezone) => void;
|
||||
formatTimezoneAdjustedTimestamp: (
|
||||
input: TimestampInput,
|
||||
format?: string,
|
||||
) => string;
|
||||
formatTimezoneAdjustedTimestamp: FormatTimezoneAdjustedTimestamp;
|
||||
isAdaptationEnabled: boolean;
|
||||
setIsAdaptationEnabled: Dispatch<SetStateAction<boolean>>;
|
||||
}
|
||||
|
||||
@@ -2,6 +2,7 @@ package sqlalertmanagerstore
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"log/slog"
|
||||
"time"
|
||||
|
||||
@@ -39,16 +40,20 @@ func (r *maintenance) ListPlannedMaintenance(ctx context.Context, orgID string)
|
||||
return nil, err
|
||||
}
|
||||
|
||||
gettablePlannedMaintenance := make([]*alertmanagertypes.PlannedMaintenance, 0)
|
||||
plannedMaintenances := make([]*alertmanagertypes.PlannedMaintenance, 0, len(gettableMaintenancesRules))
|
||||
for _, gettableMaintenancesRule := range gettableMaintenancesRules {
|
||||
m := gettableMaintenancesRule.ToPlannedMaintenance()
|
||||
gettablePlannedMaintenance = append(gettablePlannedMaintenance, m)
|
||||
if m.HasScheduleRecurrenceBoundsMismatch() {
|
||||
r.logger.WarnContext(ctx, "planned_downtime_recurrence_schedule_mismatch", slog.String("maintenance_id", m.ID.StringValue()))
|
||||
pm, err := gettableMaintenancesRule.ToPlannedMaintenance()
|
||||
if err != nil {
|
||||
// Don't return an error because we want to process all the valid records.
|
||||
// Log and skip instead.
|
||||
r.logger.WarnContext(ctx, "skipping planned maintenance", slog.String("maintenance_id", gettableMaintenancesRule.ID.StringValue()), errors.Attr(err))
|
||||
continue
|
||||
}
|
||||
|
||||
plannedMaintenances = append(plannedMaintenances, pm)
|
||||
}
|
||||
|
||||
return gettablePlannedMaintenance, nil
|
||||
return plannedMaintenances, nil
|
||||
}
|
||||
|
||||
func (r *maintenance) GetPlannedMaintenanceByID(ctx context.Context, id valuer.UUID) (*alertmanagertypes.PlannedMaintenance, error) {
|
||||
@@ -64,7 +69,7 @@ func (r *maintenance) GetPlannedMaintenanceByID(ctx context.Context, id valuer.U
|
||||
return nil, r.sqlstore.WrapNotFoundErrf(err, errors.CodeNotFound, "planned maintenance with ID: %s does not exist", id.StringValue())
|
||||
}
|
||||
|
||||
return storableMaintenanceRule.ToPlannedMaintenance(), nil
|
||||
return storableMaintenanceRule.ToPlannedMaintenance()
|
||||
}
|
||||
|
||||
func (r *maintenance) CreatePlannedMaintenance(ctx context.Context, maintenance *alertmanagertypes.PostablePlannedMaintenance) (*alertmanagertypes.PlannedMaintenance, error) {
|
||||
@@ -73,6 +78,11 @@ func (r *maintenance) CreatePlannedMaintenance(ctx context.Context, maintenance
|
||||
return nil, err
|
||||
}
|
||||
|
||||
schedule, err := json.Marshal(maintenance.Schedule)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
storablePlannedMaintenance := alertmanagertypes.StorablePlannedMaintenance{
|
||||
Identifiable: types.Identifiable{
|
||||
ID: valuer.GenerateUUID(),
|
||||
@@ -87,7 +97,7 @@ func (r *maintenance) CreatePlannedMaintenance(ctx context.Context, maintenance
|
||||
},
|
||||
Name: maintenance.Name,
|
||||
Description: maintenance.Description,
|
||||
Schedule: maintenance.Schedule,
|
||||
Schedule: string(schedule),
|
||||
OrgID: claims.OrgID,
|
||||
Scope: maintenance.Scope,
|
||||
}
|
||||
@@ -135,18 +145,21 @@ func (r *maintenance) CreatePlannedMaintenance(ctx context.Context, maintenance
|
||||
return nil, err
|
||||
}
|
||||
|
||||
return &alertmanagertypes.PlannedMaintenance{
|
||||
pm := &alertmanagertypes.PlannedMaintenance{
|
||||
ID: storablePlannedMaintenance.ID,
|
||||
Name: storablePlannedMaintenance.Name,
|
||||
Description: storablePlannedMaintenance.Description,
|
||||
Schedule: storablePlannedMaintenance.Schedule,
|
||||
RuleIDs: maintenance.AlertIds,
|
||||
Scope: maintenance.Scope,
|
||||
CreatedAt: storablePlannedMaintenance.CreatedAt,
|
||||
CreatedBy: storablePlannedMaintenance.CreatedBy,
|
||||
UpdatedAt: storablePlannedMaintenance.UpdatedAt,
|
||||
UpdatedBy: storablePlannedMaintenance.UpdatedBy,
|
||||
}, nil
|
||||
}
|
||||
if err = json.Unmarshal([]byte(storablePlannedMaintenance.Schedule), &pm.Schedule); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return pm, nil
|
||||
}
|
||||
|
||||
func (r *maintenance) DeletePlannedMaintenance(ctx context.Context, id valuer.UUID) error {
|
||||
@@ -174,6 +187,11 @@ func (r *maintenance) UpdatePlannedMaintenance(ctx context.Context, maintenance
|
||||
return err
|
||||
}
|
||||
|
||||
schedule, err := json.Marshal(maintenance.Schedule)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
storablePlannedMaintenance := alertmanagertypes.StorablePlannedMaintenance{
|
||||
Identifiable: types.Identifiable{
|
||||
ID: id,
|
||||
@@ -188,7 +206,7 @@ func (r *maintenance) UpdatePlannedMaintenance(ctx context.Context, maintenance
|
||||
},
|
||||
Name: maintenance.Name,
|
||||
Description: maintenance.Description,
|
||||
Schedule: maintenance.Schedule,
|
||||
Schedule: string(schedule),
|
||||
OrgID: claims.OrgID,
|
||||
Scope: maintenance.Scope,
|
||||
}
|
||||
|
||||
@@ -0,0 +1,94 @@
|
||||
package sqlalertmanagerstore
|
||||
|
||||
import (
|
||||
"path/filepath"
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
"github.com/stretchr/testify/require"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/factory/factorytest"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore/sqlitesqlstore"
|
||||
"github.com/SigNoz/signoz/pkg/types"
|
||||
"github.com/SigNoz/signoz/pkg/types/alertmanagertypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
)
|
||||
|
||||
func newTestStore(t *testing.T) sqlstore.SQLStore {
|
||||
t.Helper()
|
||||
store, err := sqlitesqlstore.New(t.Context(), factorytest.NewSettings(), sqlstore.Config{
|
||||
Provider: "sqlite",
|
||||
Connection: sqlstore.ConnectionConfig{
|
||||
MaxOpenConns: 1,
|
||||
MaxConnLifetime: 0,
|
||||
},
|
||||
Sqlite: sqlstore.SqliteConfig{
|
||||
Path: filepath.Join(t.TempDir(), "test.db"),
|
||||
Mode: "wal",
|
||||
BusyTimeout: 5 * time.Second,
|
||||
TransactionMode: "deferred",
|
||||
},
|
||||
})
|
||||
require.NoError(t, err)
|
||||
|
||||
_, err = store.BunDB().NewCreateTable().
|
||||
Model((*alertmanagertypes.StorablePlannedMaintenance)(nil)).
|
||||
IfNotExists().
|
||||
Exec(t.Context())
|
||||
require.NoError(t, err)
|
||||
|
||||
_, err = store.BunDB().NewCreateTable().
|
||||
Model((*alertmanagertypes.StorablePlannedMaintenanceRule)(nil)).
|
||||
IfNotExists().
|
||||
Exec(t.Context())
|
||||
require.NoError(t, err)
|
||||
|
||||
return store
|
||||
}
|
||||
|
||||
// TestListPlannedMaintenanceSkipsInvalid asserts that a single corrupt record
|
||||
// (here, an unloadable timezone) is skipped rather than failing the whole list.
|
||||
func TestListPlannedMaintenanceSkipsInvalid(t *testing.T) {
|
||||
store := newTestStore(t)
|
||||
orgID := valuer.GenerateUUID().StringValue()
|
||||
now := time.Now().UTC()
|
||||
|
||||
valid := &alertmanagertypes.StorablePlannedMaintenance{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
TimeAuditable: types.TimeAuditable{CreatedAt: now, UpdatedAt: now},
|
||||
Name: "valid",
|
||||
Schedule: `{"timezone":"UTC","startTime":"2024-01-01T12:00:00Z","recurrence":{"duration":"2h","repeatType":"daily"}}`,
|
||||
OrgID: orgID,
|
||||
}
|
||||
result, err := store.BunDB().NewInsert().Model(valid).Exec(t.Context())
|
||||
require.NoError(t, err)
|
||||
rowsAffected, err := result.RowsAffected()
|
||||
require.NoError(t, err)
|
||||
require.Equal(t, int64(1), rowsAffected)
|
||||
|
||||
// A schedule with "zero" startTime
|
||||
invalid := &alertmanagertypes.StorablePlannedMaintenance{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
TimeAuditable: types.TimeAuditable{
|
||||
CreatedAt: now,
|
||||
UpdatedAt: now,
|
||||
},
|
||||
Name: "invalid",
|
||||
Schedule: `{"timezone":"UTC","recurrence":{"duration":"2h","repeatType":"daily"}}`,
|
||||
OrgID: orgID,
|
||||
}
|
||||
result, err = store.BunDB().NewInsert().Model(invalid).Exec(t.Context())
|
||||
require.NoError(t, err)
|
||||
rowsAffected, err = result.RowsAffected()
|
||||
require.NoError(t, err)
|
||||
require.Equal(t, int64(1), rowsAffected)
|
||||
|
||||
maintenanceStore := NewMaintenanceStore(store, factorytest.NewSettings())
|
||||
|
||||
list, err := maintenanceStore.ListPlannedMaintenance(t.Context(), orgID)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, list, 1)
|
||||
assert.Equal(t, valid.ID, list[0].ID)
|
||||
}
|
||||
@@ -3,6 +3,8 @@ package alertmanager
|
||||
import (
|
||||
"context"
|
||||
"net/url"
|
||||
"os"
|
||||
"strings"
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
@@ -14,7 +16,23 @@ import (
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
const prefix = "SIGNOZ_"
|
||||
|
||||
// clearSignozEnv unsets all existing SIGNOZ_* env vars for the duration of the test.
|
||||
func clearSignozEnv(t *testing.T) {
|
||||
t.Helper()
|
||||
for _, kv := range os.Environ() {
|
||||
if strings.HasPrefix(kv, prefix) {
|
||||
key := strings.SplitN(kv, "=", 2)[0]
|
||||
orig, _ := os.LookupEnv(key)
|
||||
_ = os.Unsetenv(key)
|
||||
t.Cleanup(func() { _ = os.Setenv(key, orig) })
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestNewWithEnvProvider(t *testing.T) {
|
||||
clearSignozEnv(t)
|
||||
t.Setenv("SIGNOZ_ALERTMANAGER_PROVIDER", "signoz")
|
||||
t.Setenv("SIGNOZ_ALERTMANAGER_LEGACY_API__URL", "http://localhost:9093/api")
|
||||
t.Setenv("SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_REPEAT__INTERVAL", "5m")
|
||||
|
||||
@@ -18,8 +18,8 @@ func clearSignozEnv(t *testing.T) {
|
||||
if strings.HasPrefix(kv, prefix) {
|
||||
key := strings.SplitN(kv, "=", 2)[0]
|
||||
orig, _ := os.LookupEnv(key)
|
||||
os.Unsetenv(key)
|
||||
t.Cleanup(func() { os.Setenv(key, orig) })
|
||||
_ = os.Unsetenv(key)
|
||||
t.Cleanup(func() { _ = os.Setenv(key, orig) })
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1 +0,0 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 18 18"><defs><linearGradient id="f67d1585-6164-4ad0-b2dd-f9cc59b2969f" x1="9.908" y1="15.943" x2="7.516" y2="2.383" gradientUnits="userSpaceOnUse"><stop offset="0.15" stop-color="#0078d4"/><stop offset="0.8" stop-color="#5ea0ef"/><stop offset="1" stop-color="#83b9f9"/></linearGradient></defs><g id="a4fd1868-54fe-4ca6-8ff6-3b01866dc27b"><path d="M14.49,7.15A5.147,5.147,0,0,0,9.24,2.164,5.272,5.272,0,0,0,4.216,5.653,4.869,4.869,0,0,0,0,10.4a4.946,4.946,0,0,0,5.068,4.814H13.82A4.292,4.292,0,0,0,18,11.127,4.105,4.105,0,0,0,14.49,7.15Z" fill="url(#f67d1585-6164-4ad0-b2dd-f9cc59b2969f)"/><path d="M12.9,11.4V8H12v4.13h2.46V11.4ZM5.76,9.73a1.825,1.825,0,0,1-.51-.31.441.441,0,0,1-.12-.32.342.342,0,0,1,.15-.3.683.683,0,0,1,.42-.12,1.62,1.62,0,0,1,1,.29V8.11a2.58,2.58,0,0,0-1-.16,1.641,1.641,0,0,0-1.09.34,1.08,1.08,0,0,0-.42.89c0,.51.32.91,1,1.21a2.907,2.907,0,0,1,.62.36.419.419,0,0,1,.15.32.381.381,0,0,1-.16.31.806.806,0,0,1-.45.11,1.66,1.66,0,0,1-1.09-.42V12a2.173,2.173,0,0,0,1.07.24,1.877,1.877,0,0,0,1.18-.33A1.08,1.08,0,0,0,6.84,11a1.048,1.048,0,0,0-.25-.7A2.425,2.425,0,0,0,5.76,9.73ZM11,11.32A2.191,2.191,0,0,0,11,9a1.808,1.808,0,0,0-.7-.75,2,2,0,0,0-1-.26,2.112,2.112,0,0,0-1.08.27A1.856,1.856,0,0,0,7.49,9a2.465,2.465,0,0,0-.26,1.14,2.256,2.256,0,0,0,.24,1,1.766,1.766,0,0,0,.69.74,2.056,2.056,0,0,0,1,.3l.86,1h1.21L10,12.08A1.79,1.79,0,0,0,11,11.32Zm-1-.25a.941.941,0,0,1-.76.35.916.916,0,0,1-.76-.36,1.523,1.523,0,0,1-.29-1,1.529,1.529,0,0,1,.29-1,1,1,0,0,1,.78-.37.869.869,0,0,1,.75.37,1.619,1.619,0,0,1,.27,1A1.459,1.459,0,0,1,10,11.07Z" fill="#f2f2f2"/></g></svg>
|
||||
|
Before Width: | Height: | Size: 1.6 KiB |
@@ -1,565 +0,0 @@
|
||||
{
|
||||
"id": "sqldatabase",
|
||||
"title": "Azure SQL Database",
|
||||
"icon": "file://icon.svg",
|
||||
"overview": "file://overview.md",
|
||||
"supportedSignals": {
|
||||
"metrics": true,
|
||||
"logs": true
|
||||
},
|
||||
"dataCollected": {
|
||||
"metrics": [
|
||||
{
|
||||
"name": "azure_cpu_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Percentage of CPU used by the database workload, relative to its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Percentage of CPU used by the database workload, relative to its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Percentage of CPU used by the database workload, relative to its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_cpu_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_cpu_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_cpu_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_memory_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Memory usage of the SQL instance, as a percentage of its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_memory_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Memory usage of the SQL instance, as a percentage of its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sql_instance_memory_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Memory usage of the SQL instance, as a percentage of its limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_physical_data_read_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data file IO usage as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_physical_data_read_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data file IO usage as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_physical_data_read_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data file IO usage as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_write_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Transaction log write throughput as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_write_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Transaction log write throughput as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_write_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Transaction log write throughput as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_workers_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Worker threads in use as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_workers_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Worker threads in use as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_workers_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Worker threads in use as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Active sessions as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Active sessions as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Active sessions as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_count_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of active sessions."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_count_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of active sessions."
|
||||
},
|
||||
{
|
||||
"name": "azure_sessions_count_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of active sessions."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_consumption_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_consumption_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_consumption_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_used_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTUs used (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_used_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTUs used (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_used_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTUs used (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_limit_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTU limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_limit_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTU limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_dtu_limit_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "DTU limit (DTU-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_used_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCores used (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_used_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCores used (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_used_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCores used (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_limit_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCore limit (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_limit_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCore limit (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_cpu_limit_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "vCore limit (vCore-based purchasing model)."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used by the database."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used by the database."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_minimum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used by the database."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used as a percentage of the maximum data size."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used as a percentage of the maximum data size."
|
||||
},
|
||||
{
|
||||
"name": "azure_storage_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Data space used as a percentage of the maximum data size."
|
||||
},
|
||||
{
|
||||
"name": "azure_allocated_data_storage_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space allocated to the database (includes unused space)."
|
||||
},
|
||||
{
|
||||
"name": "azure_allocated_data_storage_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space allocated to the database (includes unused space)."
|
||||
},
|
||||
{
|
||||
"name": "azure_allocated_data_storage_minimum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Data space allocated to the database (includes unused space)."
|
||||
},
|
||||
{
|
||||
"name": "azure_xtp_storage_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "In-Memory OLTP storage used as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_xtp_storage_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "In-Memory OLTP storage used as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_xtp_storage_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "In-Memory OLTP storage used as a percentage of the limit."
|
||||
},
|
||||
{
|
||||
"name": "azure_full_backup_size_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative full backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_full_backup_size_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative full backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_full_backup_size_bytes_minimum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative full backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_diff_backup_size_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative differential backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_diff_backup_size_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative differential backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_diff_backup_size_bytes_minimum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative differential backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_backup_size_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative transaction log backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_backup_size_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative transaction log backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_log_backup_size_bytes_minimum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": "Cumulative transaction log backup storage size."
|
||||
},
|
||||
{
|
||||
"name": "azure_replication_lag_seconds_average",
|
||||
"unit": "Seconds",
|
||||
"type": "Gauge",
|
||||
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
|
||||
},
|
||||
{
|
||||
"name": "azure_replication_lag_seconds_maximum",
|
||||
"unit": "Seconds",
|
||||
"type": "Gauge",
|
||||
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
|
||||
},
|
||||
{
|
||||
"name": "azure_replication_lag_seconds_minimum",
|
||||
"unit": "Seconds",
|
||||
"type": "Gauge",
|
||||
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_successful_total",
|
||||
"unit": "Count",
|
||||
"type": "Sum",
|
||||
"description": "Number of successful connections."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_successful_count",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of successful connections."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_failed_total",
|
||||
"unit": "Count",
|
||||
"type": "Sum",
|
||||
"description": "Number of failed connections caused by system errors."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_failed_count",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of failed connections caused by system errors."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_failed_user_error_total",
|
||||
"unit": "Count",
|
||||
"type": "Sum",
|
||||
"description": "Number of failed connections caused by user errors."
|
||||
},
|
||||
{
|
||||
"name": "azure_connection_failed_user_error_count",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of failed connections caused by user errors."
|
||||
},
|
||||
{
|
||||
"name": "azure_blocked_by_firewall_total",
|
||||
"unit": "Count",
|
||||
"type": "Sum",
|
||||
"description": "Number of connection attempts blocked by the firewall."
|
||||
},
|
||||
{
|
||||
"name": "azure_blocked_by_firewall_count",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of connection attempts blocked by the firewall."
|
||||
},
|
||||
{
|
||||
"name": "azure_deadlock_total",
|
||||
"unit": "Count",
|
||||
"type": "Sum",
|
||||
"description": "Number of deadlocks."
|
||||
},
|
||||
{
|
||||
"name": "azure_deadlock_count",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Number of deadlocks."
|
||||
},
|
||||
{
|
||||
"name": "azure_availability_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
|
||||
},
|
||||
{
|
||||
"name": "azure_availability_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
|
||||
},
|
||||
{
|
||||
"name": "azure_availability_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
|
||||
},
|
||||
{
|
||||
"name": "azure_availability_count",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
|
||||
},
|
||||
{
|
||||
"name": "azure_availability_total",
|
||||
"unit": "Percent",
|
||||
"type": "Sum",
|
||||
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_data_size_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in tempdb data files, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_data_size_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in tempdb data files, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_data_size_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in tempdb data files, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_size_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in the tempdb transaction log file, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_size_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in the tempdb transaction log file, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_size_minimum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": "Space used in the tempdb transaction log file, in kilobytes."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_used_percent_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "tempdb transaction log space used as a percentage."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_used_percent_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "tempdb transaction log space used as a percentage."
|
||||
},
|
||||
{
|
||||
"name": "azure_tempdb_log_used_percent_minimum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": "tempdb transaction log space used as a percentage."
|
||||
}
|
||||
],
|
||||
"logs": [
|
||||
{
|
||||
"name": "Resource ID",
|
||||
"path": "resources.azure.resource.id",
|
||||
"type": "string"
|
||||
}
|
||||
]
|
||||
},
|
||||
"telemetryCollectionStrategy": {
|
||||
"azure": {
|
||||
"resourceProvider": "Microsoft.Sql",
|
||||
"resourceType": "servers/databases",
|
||||
"metrics": {},
|
||||
"logs": {
|
||||
"categoryGroups": [
|
||||
"allLogs"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"assets": {
|
||||
"dashboards": [
|
||||
{
|
||||
"id": "overview",
|
||||
"title": "Azure SQL Database Overview",
|
||||
"description": "Overview of Azure SQL Database metrics",
|
||||
"definition": "file://assets/dashboards/overview.json"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,7 +0,0 @@
|
||||
### Monitor Azure SQL Database with SigNoz
|
||||
|
||||
Collect key Azure SQL Database (single database) metrics and view them with an out of the box dashboard.
|
||||
|
||||
This integration collects platform metrics for the `Microsoft.Sql/servers/databases` resource type.
|
||||
|
||||
Note: This integration is for Azure SQL Database (the PaaS offering). Azure SQL Managed Instance and SQL Server on Azure VMs expose a different set of metrics and are not covered here.
|
||||
@@ -10,7 +10,9 @@ import (
|
||||
"github.com/SigNoz/signoz/pkg/querier"
|
||||
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
|
||||
"github.com/SigNoz/signoz/pkg/telemetrystore"
|
||||
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
|
||||
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
@@ -48,6 +50,8 @@ func NewModule(
|
||||
}
|
||||
|
||||
func (m *module) ListHosts(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableHosts) (*inframonitoringtypes.Hosts, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListHosts")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -161,6 +165,8 @@ func (m *module) ListHosts(ctx context.Context, orgID valuer.UUID, req *inframon
|
||||
}
|
||||
|
||||
func (m *module) ListPods(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostablePods) (*inframonitoringtypes.Pods, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListPods")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -244,6 +250,8 @@ func (m *module) ListPods(ctx context.Context, orgID valuer.UUID, req *inframoni
|
||||
}
|
||||
|
||||
func (m *module) ListNodes(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableNodes) (*inframonitoringtypes.Nodes, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListNodes")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -332,6 +340,8 @@ func (m *module) ListNodes(ctx context.Context, orgID valuer.UUID, req *inframon
|
||||
}
|
||||
|
||||
func (m *module) ListNamespaces(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableNamespaces) (*inframonitoringtypes.Namespaces, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListNamespaces")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -414,6 +424,8 @@ func (m *module) ListNamespaces(ctx context.Context, orgID valuer.UUID, req *inf
|
||||
}
|
||||
|
||||
func (m *module) ListClusters(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableClusters) (*inframonitoringtypes.Clusters, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListClusters")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -503,6 +515,8 @@ func (m *module) ListClusters(ctx context.Context, orgID valuer.UUID, req *infra
|
||||
}
|
||||
|
||||
func (m *module) ListVolumes(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableVolumes) (*inframonitoringtypes.Volumes, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListVolumes")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -586,6 +600,8 @@ func (m *module) ListVolumes(ctx context.Context, orgID valuer.UUID, req *infram
|
||||
}
|
||||
|
||||
func (m *module) ListDeployments(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableDeployments) (*inframonitoringtypes.Deployments, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListDeployments")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -674,6 +690,8 @@ func (m *module) ListDeployments(ctx context.Context, orgID valuer.UUID, req *in
|
||||
}
|
||||
|
||||
func (m *module) ListStatefulSets(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableStatefulSets) (*inframonitoringtypes.StatefulSets, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListStatefulSets")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -764,6 +782,8 @@ func (m *module) ListStatefulSets(ctx context.Context, orgID valuer.UUID, req *i
|
||||
}
|
||||
|
||||
func (m *module) ListJobs(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableJobs) (*inframonitoringtypes.Jobs, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListJobs")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -854,6 +874,8 @@ func (m *module) ListJobs(ctx context.Context, orgID valuer.UUID, req *inframoni
|
||||
}
|
||||
|
||||
func (m *module) ListDaemonSets(ctx context.Context, orgID valuer.UUID, req *inframonitoringtypes.PostableDaemonSets) (*inframonitoringtypes.DaemonSets, error) {
|
||||
ctx = m.withInfraMonitoringContext(ctx, "ListDaemonSets")
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -942,3 +964,12 @@ func (m *module) ListDaemonSets(ctx context.Context, orgID valuer.UUID, req *inf
|
||||
|
||||
return resp, nil
|
||||
}
|
||||
|
||||
func (m *module) withInfraMonitoringContext(ctx context.Context, functionName string) context.Context {
|
||||
comments := map[string]string{
|
||||
instrumentationtypes.TelemetrySignal: telemetrytypes.SignalMetrics.StringValue(),
|
||||
instrumentationtypes.CodeNamespace: "infra-monitoring",
|
||||
instrumentationtypes.CodeFunctionName: functionName,
|
||||
}
|
||||
return ctxtypes.NewContextWithCommentVals(ctx, comments)
|
||||
}
|
||||
|
||||
@@ -182,7 +182,7 @@ func (m *module) getFullFlamegraph(ctx context.Context, traceID string, summary
|
||||
return nil, spantypes.ErrTraceNotFound
|
||||
}
|
||||
flamegraphTrace := spantypes.NewFlamegraphTraceFromStorable(fullSpans, selectFields)
|
||||
return spantypes.NewGettableFlamegraphTrace(flamegraphTrace.GetAllLevels(), summary.Start.UnixMilli(), summary.End.UnixMilli(), false), nil
|
||||
return spantypes.NewGettableFlamegraphTrace(flamegraphTrace.GetAllLevels(), summary.Start, summary.End, false), nil
|
||||
}
|
||||
|
||||
// getWindowedFlamegraph returns a window of a max levels and max sampled spans per level around the selected span.
|
||||
@@ -209,10 +209,6 @@ func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpa
|
||||
return nil, err
|
||||
}
|
||||
|
||||
return spantypes.NewGettableFlamegraphTrace(
|
||||
flamegraphTrace.EnrichSelectedSpans(selectedSpans, fullSpans, selectFields),
|
||||
summary.Start.UnixMilli(),
|
||||
summary.End.UnixMilli(),
|
||||
true,
|
||||
), nil
|
||||
enrichedSpans := flamegraphTrace.EnrichSelectedSpans(selectedSpans, fullSpans, selectFields)
|
||||
return spantypes.NewGettableFlamegraphTrace(enrichedSpans, summary.Start, summary.End, true), nil
|
||||
}
|
||||
|
||||
@@ -62,7 +62,7 @@ func readAsTimeSeries(rows driver.Rows, queryWindow *qbtypes.TimeRange, step qbt
|
||||
numericColsCount := 0
|
||||
for i, ct := range colTypes {
|
||||
slots[i] = reflect.New(ct.ScanType()).Interface()
|
||||
if numericKind(ct.ScanType().Kind()) {
|
||||
if isNumericKind(ct.ScanType()) {
|
||||
numericColsCount++
|
||||
}
|
||||
}
|
||||
@@ -270,8 +270,14 @@ func readAsTimeSeries(rows driver.Rows, queryWindow *qbtypes.TimeRange, step qbt
|
||||
}, nil
|
||||
}
|
||||
|
||||
func numericKind(k reflect.Kind) bool {
|
||||
switch k {
|
||||
func isNumericKind(t reflect.Type) bool {
|
||||
if t == nil {
|
||||
return false
|
||||
}
|
||||
for t.Kind() == reflect.Ptr || t.Kind() == reflect.UnsafePointer {
|
||||
t = t.Elem()
|
||||
}
|
||||
switch t.Kind() {
|
||||
case reflect.Float32, reflect.Float64,
|
||||
reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64,
|
||||
reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
|
||||
@@ -290,7 +296,13 @@ func readAsScalar(rows driver.Rows, queryName string) (*qbtypes.ScalarData, erro
|
||||
var aggIndex int64
|
||||
for i, name := range colNames {
|
||||
colType := qbtypes.ColumnTypeGroup
|
||||
if aggRe.MatchString(name) {
|
||||
// Builder queries aliases aggregation columns as __result_N (always numeric) and wraps group-by keys with toString (always string);
|
||||
// Raw ClickHouse queries may use any aliases.
|
||||
// Handling Builder queries, If name like __result_N -> aggregation, otherwise group-by column
|
||||
// Handling Raw ClickHouse queries, If type is numeric -> aggregation, otherwise group-by column
|
||||
// NOTE: For clickhouse queries, its wrong to assume that numeric columns are always aggregations, user might be grouping by on integer status_code.
|
||||
// However, we are fine with this for now. If need arises, simplest way would be to solve this on the frontend side by asking user a mapping of column names to column types.
|
||||
if aggRe.MatchString(name) || isNumericKind(colTypes[i].ScanType()) {
|
||||
colType = qbtypes.ColumnTypeAggregation
|
||||
}
|
||||
cd[i] = &qbtypes.ColumnDescriptor{
|
||||
|
||||
@@ -213,6 +213,7 @@ func NewSQLMigrationProviderFactories(
|
||||
sqlmigration.NewCloudIntegrationRemoveCascadeDeleteFactory(sqlschema),
|
||||
sqlmigration.NewAddUserDashboardPreferenceFactory(sqlstore, sqlschema),
|
||||
sqlmigration.NewRecreateUserDashboardPreferenceFactory(sqlstore, sqlschema),
|
||||
sqlmigration.NewMigrateRecurrenceBoundsFactory(sqlstore),
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -11,7 +11,6 @@ import (
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore"
|
||||
"github.com/SigNoz/signoz/pkg/types"
|
||||
"github.com/SigNoz/signoz/pkg/types/alertmanagertypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/uptrace/bun"
|
||||
"github.com/uptrace/bun/migrate"
|
||||
@@ -57,15 +56,15 @@ type newRule struct {
|
||||
|
||||
type existingMaintenance struct {
|
||||
bun.BaseModel `bun:"table:planned_maintenance"`
|
||||
ID int `bun:"id,pk,autoincrement"`
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
AlertIDs *AlertIds `bun:"alert_ids,type:text"`
|
||||
Schedule *alertmanagertypes.Schedule `bun:"schedule,type:text,notnull"`
|
||||
CreatedAt time.Time `bun:"created_at,type:datetime,notnull"`
|
||||
CreatedBy string `bun:"created_by,type:text,notnull"`
|
||||
UpdatedAt time.Time `bun:"updated_at,type:datetime,notnull"`
|
||||
UpdatedBy string `bun:"updated_by,type:text,notnull"`
|
||||
ID int `bun:"id,pk,autoincrement"`
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
AlertIDs *AlertIds `bun:"alert_ids,type:text"`
|
||||
Schedule *schedule `bun:"schedule,type:text,notnull"`
|
||||
CreatedAt time.Time `bun:"created_at,type:datetime,notnull"`
|
||||
CreatedBy string `bun:"created_by,type:text,notnull"`
|
||||
UpdatedAt time.Time `bun:"updated_at,type:datetime,notnull"`
|
||||
UpdatedBy string `bun:"updated_by,type:text,notnull"`
|
||||
}
|
||||
|
||||
type newMaintenance struct {
|
||||
@@ -73,10 +72,10 @@ type newMaintenance struct {
|
||||
types.Identifiable
|
||||
types.TimeAuditable
|
||||
types.UserAuditable
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
Schedule *alertmanagertypes.Schedule `bun:"schedule,type:text,notnull"`
|
||||
OrgID string `bun:"org_id,type:text"`
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
Schedule *schedule `bun:"schedule,type:text,notnull"`
|
||||
OrgID string `bun:"org_id,type:text"`
|
||||
}
|
||||
|
||||
type storablePlannedMaintenanceRule struct {
|
||||
@@ -92,6 +91,21 @@ type ruleHistory struct {
|
||||
RuleUUID valuer.UUID `bun:"rule_uuid"`
|
||||
}
|
||||
|
||||
type schedule struct {
|
||||
Timezone string `json:"timezone"`
|
||||
StartTime time.Time `json:"startTime"`
|
||||
EndTime time.Time `json:"endTime,omitzero"`
|
||||
Recurrence *recurrence `json:"recurrence"`
|
||||
}
|
||||
|
||||
type recurrence struct {
|
||||
StartTime time.Time `json:"startTime"`
|
||||
EndTime time.Time `json:"endTime,omitzero"`
|
||||
Duration valuer.TextDuration `json:"duration"`
|
||||
RepeatType string `json:"repeatType"`
|
||||
RepeatOn []string `json:"repeatOn"`
|
||||
}
|
||||
|
||||
func NewUpdateRulesFactory(sqlstore sqlstore.SQLStore) factory.ProviderFactory[SQLMigration, Config] {
|
||||
return factory.NewProviderFactory(factory.MustNewName("update_rules"), func(ctx context.Context, ps factory.ProviderSettings, c Config) (SQLMigration, error) {
|
||||
return newUpdateRules(ctx, ps, c, sqlstore)
|
||||
|
||||
128
pkg/sqlmigration/094_migrate_recurrence_bounds.go
Normal file
128
pkg/sqlmigration/094_migrate_recurrence_bounds.go
Normal file
@@ -0,0 +1,128 @@
|
||||
package sqlmigration
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"log/slog"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore"
|
||||
"github.com/uptrace/bun"
|
||||
"github.com/uptrace/bun/migrate"
|
||||
)
|
||||
|
||||
type migrateRecurrenceBounds struct {
|
||||
sqlstore sqlstore.SQLStore
|
||||
logger *slog.Logger
|
||||
}
|
||||
|
||||
type plannedMaintenanceScheduleRow struct {
|
||||
bun.BaseModel `bun:"table:planned_maintenance"`
|
||||
|
||||
ID string `bun:"id"`
|
||||
Schedule string `bun:"schedule"`
|
||||
}
|
||||
|
||||
func NewMigrateRecurrenceBoundsFactory(sqlstore sqlstore.SQLStore) factory.ProviderFactory[SQLMigration, Config] {
|
||||
return factory.NewProviderFactory(
|
||||
factory.MustNewName("migrate_recurrence_bounds"),
|
||||
func(ctx context.Context, ps factory.ProviderSettings, c Config) (SQLMigration, error) {
|
||||
return &migrateRecurrenceBounds{sqlstore: sqlstore, logger: ps.Logger}, nil
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
func (migration *migrateRecurrenceBounds) Register(migrations *migrate.Migrations) error {
|
||||
if err := migrations.Register(migration.Up, migration.Down); err != nil {
|
||||
return err
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// Up moves the start/end bounds of a recurring planned maintenance from the
|
||||
// nested recurrence object up to the schedule level. Until now both the
|
||||
// schedule and its recurrence carried their own startTime/endTime, with the
|
||||
// recurrence values taking precedence when a recurrence was present. The
|
||||
// recurrence fields are being dropped, so the recurrence bounds (the source of
|
||||
// truth for recurring maintenances) are promoted to the schedule before the
|
||||
// struct loses those fields.
|
||||
//
|
||||
// We deliberately operate on the raw JSON instead of the Recurrence struct:
|
||||
// that struct loses its StartTime/EndTime fields in the same change set, so it
|
||||
// can no longer read the values this migration needs to move.
|
||||
func (migration *migrateRecurrenceBounds) Up(ctx context.Context, db *bun.DB) error {
|
||||
tx, err := db.BeginTx(ctx, nil)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
defer func() {
|
||||
_ = tx.Rollback()
|
||||
}()
|
||||
|
||||
rows := make([]*plannedMaintenanceScheduleRow, 0)
|
||||
if err := tx.NewSelect().Model(&rows).Scan(ctx); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
for _, row := range rows {
|
||||
schedule := make(map[string]json.RawMessage)
|
||||
if err := json.Unmarshal([]byte(row.Schedule), &schedule); err != nil {
|
||||
// A single corrupt row must not abort the whole migration (which would block startup).
|
||||
migration.logger.WarnContext(ctx, "skipping planned maintenance with unreadable schedule", slog.String("maintenance_id", row.ID), errors.Attr(err))
|
||||
continue
|
||||
}
|
||||
|
||||
recurrenceRaw, ok := schedule["recurrence"]
|
||||
if !ok || string(recurrenceRaw) == "null" {
|
||||
continue
|
||||
}
|
||||
|
||||
recurrence := make(map[string]json.RawMessage)
|
||||
if err := json.Unmarshal(recurrenceRaw, &recurrence); err != nil {
|
||||
migration.logger.WarnContext(ctx, "skipping planned maintenance with unreadable recurrence", slog.String("maintenance_id", row.ID), errors.Attr(err))
|
||||
continue
|
||||
}
|
||||
|
||||
// Promote the recurrence bounds (source of truth) to the schedule
|
||||
// level, then drop them from the recurrence.
|
||||
if startTime, ok := recurrence["startTime"]; ok {
|
||||
schedule["startTime"] = startTime
|
||||
delete(recurrence, "startTime")
|
||||
}
|
||||
if endTime, ok := recurrence["endTime"]; ok && string(endTime) != "null" {
|
||||
schedule["endTime"] = endTime
|
||||
} else {
|
||||
// The recurrence had no end time, so the schedule must not carry
|
||||
// a stale one duplicated by the UI.
|
||||
delete(schedule, "endTime")
|
||||
}
|
||||
delete(recurrence, "endTime")
|
||||
|
||||
newRecurrence, err := json.Marshal(recurrence)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
schedule["recurrence"] = newRecurrence
|
||||
|
||||
newSchedule, err := json.Marshal(schedule)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
if _, err := tx.NewUpdate().
|
||||
Model((*plannedMaintenanceScheduleRow)(nil)).
|
||||
Set("schedule = ?", string(newSchedule)).
|
||||
Where("id = ?", row.ID).
|
||||
Exec(ctx); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
|
||||
return tx.Commit()
|
||||
}
|
||||
|
||||
func (migration *migrateRecurrenceBounds) Down(context.Context, *bun.DB) error {
|
||||
return nil
|
||||
}
|
||||
@@ -3,6 +3,7 @@ package alertmanagertypes
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"slices"
|
||||
"time"
|
||||
|
||||
"github.com/expr-lang/expr"
|
||||
@@ -59,11 +60,11 @@ type StorablePlannedMaintenance struct {
|
||||
types.Identifiable
|
||||
types.TimeAuditable
|
||||
types.UserAuditable
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
Schedule *Schedule `bun:"schedule,type:text,notnull"`
|
||||
OrgID string `bun:"org_id,type:text"`
|
||||
Scope string `bun:"scope,type:text"`
|
||||
Name string `bun:"name,type:text,notnull"`
|
||||
Description string `bun:"description,type:text"`
|
||||
Schedule string `bun:"schedule,type:text,notnull"`
|
||||
OrgID string `bun:"org_id,type:text"`
|
||||
Scope string `bun:"scope,type:text"`
|
||||
}
|
||||
|
||||
type PlannedMaintenance struct {
|
||||
@@ -99,18 +100,9 @@ func (p *PostablePlannedMaintenance) Validate() error {
|
||||
if p.Schedule == nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing schedule in the payload")
|
||||
}
|
||||
if p.Schedule.Timezone == "" {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing timezone in the payload")
|
||||
}
|
||||
|
||||
if _, err := time.LoadLocation(p.Schedule.Timezone); err != nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "invalid timezone in the payload")
|
||||
}
|
||||
|
||||
if !p.Schedule.StartTime.IsZero() && !p.Schedule.EndTime.IsZero() {
|
||||
if p.Schedule.StartTime.After(p.Schedule.EndTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "start time cannot be after end time")
|
||||
}
|
||||
if !p.Schedule.EndTime.IsZero() && p.Schedule.StartTime.After(p.Schedule.EndTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "start time cannot be after end time")
|
||||
}
|
||||
|
||||
if p.Schedule.Recurrence != nil {
|
||||
@@ -120,9 +112,6 @@ func (p *PostablePlannedMaintenance) Validate() error {
|
||||
if p.Schedule.Recurrence.Duration.IsZero() {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing duration in the payload")
|
||||
}
|
||||
if p.Schedule.Recurrence.EndTime != nil && p.Schedule.Recurrence.EndTime.Before(p.Schedule.Recurrence.StartTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "end time cannot be before start time")
|
||||
}
|
||||
}
|
||||
if p.Scope != "" {
|
||||
if _, err := expr.Compile(p.Scope, expr.AllowUndefinedVariables(), expr.AsBool()); err != nil {
|
||||
@@ -148,134 +137,85 @@ type PlannedMaintenanceWithRules struct {
|
||||
Rules []*StorablePlannedMaintenanceRule `bun:"rel:has-many,join:id=planned_maintenance_id"`
|
||||
}
|
||||
|
||||
// HasScheduleRecurrenceBoundsMismatch reports whether a recurring maintenance
|
||||
// has different start/end bounds in Schedule and Schedule.Recurrence.
|
||||
//
|
||||
// This is used to detect if there are any entries with recurrence that don't
|
||||
// have the same timestamps stored at the schedule-level.
|
||||
// UI payloads duplicated those values in both places, but direct API users may
|
||||
// have stored bounds that are missing from, or different than, the schedule-level bounds.
|
||||
// We need to observe these before we can safely drop Recurrence.StartTime and
|
||||
// Recurrence.EndTime.
|
||||
func (m *PlannedMaintenance) HasScheduleRecurrenceBoundsMismatch() bool {
|
||||
recurrence := m.Schedule.Recurrence
|
||||
if recurrence == nil {
|
||||
return false
|
||||
}
|
||||
|
||||
return !recurrence.StartTime.Equal(m.Schedule.StartTime) ||
|
||||
(recurrence.EndTime == nil && !m.Schedule.EndTime.IsZero()) ||
|
||||
(recurrence.EndTime != nil && !recurrence.EndTime.Equal(m.Schedule.EndTime))
|
||||
// AppliesTo reports whether this maintenance applies to the given rule.
|
||||
// An empty RuleIDs set means the maintenance applies to all rules.
|
||||
func (m *PlannedMaintenance) AppliesTo(ruleID string) bool {
|
||||
return len(m.RuleIDs) == 0 || slices.Contains(m.RuleIDs, ruleID)
|
||||
}
|
||||
|
||||
func (m *PlannedMaintenance) ShouldSkip(ruleID string, now time.Time, lset model.LabelSet) (bool, error) {
|
||||
// Check if the alert ID is in the maintenance window
|
||||
found := false
|
||||
if len(m.RuleIDs) > 0 {
|
||||
for _, alertID := range m.RuleIDs {
|
||||
if alertID == ruleID {
|
||||
found = true
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
// If no alert ids, then skip all alerts
|
||||
if len(m.RuleIDs) == 0 {
|
||||
found = true
|
||||
}
|
||||
|
||||
if !found {
|
||||
return false, nil
|
||||
}
|
||||
|
||||
if !m.IsActive(now) {
|
||||
if !m.AppliesTo(ruleID) || !m.IsActive(now) {
|
||||
return false, nil
|
||||
}
|
||||
|
||||
if m.Scope != "" {
|
||||
result, err := EvalScopeExpression(m.Scope, lset)
|
||||
if err != nil {
|
||||
skip, err := EvalScopeExpression(m.Scope, lset)
|
||||
if err != nil || !skip {
|
||||
return false, err
|
||||
}
|
||||
if !result {
|
||||
return false, nil
|
||||
}
|
||||
}
|
||||
return true, nil
|
||||
}
|
||||
|
||||
// IsActive reports whether [now] falls inside the maintenance window's schedule.
|
||||
func (m *PlannedMaintenance) IsActive(now time.Time) bool {
|
||||
// If alert is found, we check if it should be skipped based on the schedule
|
||||
// Check if maintenance window has not started yet
|
||||
if now.Before(m.Schedule.StartTime) {
|
||||
return false
|
||||
}
|
||||
|
||||
// Check if maintenance window has expired
|
||||
if !m.Schedule.EndTime.IsZero() && now.After(m.Schedule.EndTime) {
|
||||
return false
|
||||
}
|
||||
|
||||
// Fixed schedule
|
||||
if m.Schedule.Recurrence == nil {
|
||||
return true
|
||||
}
|
||||
|
||||
loc, err := time.LoadLocation(m.Schedule.Timezone)
|
||||
if err != nil {
|
||||
return false
|
||||
}
|
||||
|
||||
startTime := m.Schedule.StartTime
|
||||
endTime := m.Schedule.EndTime
|
||||
recurrence := m.Schedule.Recurrence
|
||||
|
||||
// fixed schedule — only when no recurrence is configured.
|
||||
// When recurrence is set, the recurring check below handles everything;
|
||||
// falling through here would cause the window to match the absolute
|
||||
// StartTime–EndTime range instead of the daily/weekly/monthly pattern.
|
||||
if recurrence == nil && !startTime.IsZero() && !endTime.IsZero() {
|
||||
if now.Equal(startTime) || now.Equal(endTime) ||
|
||||
(now.After(startTime) && now.Before(endTime)) {
|
||||
return true
|
||||
}
|
||||
switch m.Schedule.Recurrence.RepeatType {
|
||||
case RepeatTypeDaily:
|
||||
return m.checkDaily(now, loc)
|
||||
case RepeatTypeWeekly:
|
||||
return m.checkWeekly(now, loc)
|
||||
case RepeatTypeMonthly:
|
||||
return m.checkMonthly(now, loc)
|
||||
default:
|
||||
return false
|
||||
}
|
||||
|
||||
// recurring schedule
|
||||
if recurrence != nil {
|
||||
// Make sure the recurrence has started
|
||||
if now.Before(recurrence.StartTime) {
|
||||
return false
|
||||
}
|
||||
|
||||
// Check if recurrence has expired
|
||||
if recurrence.EndTime != nil {
|
||||
if !recurrence.EndTime.IsZero() && now.After(*recurrence.EndTime) {
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
currentTime := now.In(loc)
|
||||
switch recurrence.RepeatType {
|
||||
case RepeatTypeDaily:
|
||||
return m.checkDaily(currentTime, recurrence, loc)
|
||||
case RepeatTypeWeekly:
|
||||
return m.checkWeekly(currentTime, recurrence, loc)
|
||||
case RepeatTypeMonthly:
|
||||
return m.checkMonthly(currentTime, recurrence, loc)
|
||||
}
|
||||
}
|
||||
|
||||
return false
|
||||
}
|
||||
|
||||
// checkDaily rebases the recurrence start to today (or yesterday if needed)
|
||||
// and returns true if currentTime is within [candidate, candidate+Duration].
|
||||
func (m *PlannedMaintenance) checkDaily(currentTime time.Time, rec *Recurrence, loc *time.Location) bool {
|
||||
func (m *PlannedMaintenance) checkDaily(currentTime time.Time, loc *time.Location) bool {
|
||||
currentTime = currentTime.In(loc)
|
||||
candidate := time.Date(
|
||||
currentTime.Year(), currentTime.Month(), currentTime.Day(),
|
||||
rec.StartTime.Hour(), rec.StartTime.Minute(), 0, 0,
|
||||
m.Schedule.StartTime.Hour(), m.Schedule.StartTime.Minute(), 0, 0,
|
||||
loc,
|
||||
)
|
||||
if candidate.After(currentTime) {
|
||||
candidate = candidate.AddDate(0, 0, -1)
|
||||
}
|
||||
return currentTime.Sub(candidate) <= rec.Duration.Duration()
|
||||
return currentTime.Sub(candidate) <= m.Schedule.Recurrence.Duration.Duration()
|
||||
}
|
||||
|
||||
// checkWeekly finds the most recent allowed occurrence by rebasing the recurrence’s
|
||||
// time-of-day onto the allowed weekday. It does this for each allowed day and returns true
|
||||
// if the current time falls within the candidate window.
|
||||
func (m *PlannedMaintenance) checkWeekly(currentTime time.Time, rec *Recurrence, loc *time.Location) bool {
|
||||
func (m *PlannedMaintenance) checkWeekly(currentTime time.Time, loc *time.Location) bool {
|
||||
currentTime = currentTime.In(loc)
|
||||
rec := m.Schedule.Recurrence
|
||||
|
||||
// If no days specified, treat as every day (like daily).
|
||||
if len(rec.RepeatOn) == 0 {
|
||||
return m.checkDaily(currentTime, rec, loc)
|
||||
return m.checkDaily(currentTime, loc)
|
||||
}
|
||||
|
||||
for _, day := range rec.RepeatOn {
|
||||
@@ -288,7 +228,7 @@ func (m *PlannedMaintenance) checkWeekly(currentTime time.Time, rec *Recurrence,
|
||||
// Build a candidate occurrence by rebasing today's date to the allowed weekday.
|
||||
candidate := time.Date(
|
||||
currentTime.Year(), currentTime.Month(), currentTime.Day(),
|
||||
rec.StartTime.Hour(), rec.StartTime.Minute(), 0, 0,
|
||||
m.Schedule.StartTime.Hour(), m.Schedule.StartTime.Minute(), 0, 0,
|
||||
loc,
|
||||
).AddDate(0, 0, delta)
|
||||
// If the candidate is in the future, subtract 7 days.
|
||||
@@ -304,8 +244,10 @@ func (m *PlannedMaintenance) checkWeekly(currentTime time.Time, rec *Recurrence,
|
||||
|
||||
// checkMonthly rebases the candidate occurrence using the recurrence's day-of-month.
|
||||
// If the candidate for the current month is in the future, it uses the previous month.
|
||||
func (m *PlannedMaintenance) checkMonthly(currentTime time.Time, rec *Recurrence, loc *time.Location) bool {
|
||||
refDay := rec.StartTime.Day()
|
||||
func (m *PlannedMaintenance) checkMonthly(currentTime time.Time, loc *time.Location) bool {
|
||||
currentTime = currentTime.In(loc)
|
||||
startTime := m.Schedule.StartTime
|
||||
refDay := startTime.Day()
|
||||
year, month, _ := currentTime.Date()
|
||||
lastDay := time.Date(year, month+1, 0, 0, 0, 0, 0, loc).Day()
|
||||
day := refDay
|
||||
@@ -313,7 +255,7 @@ func (m *PlannedMaintenance) checkMonthly(currentTime time.Time, rec *Recurrence
|
||||
day = lastDay
|
||||
}
|
||||
candidate := time.Date(year, month, day,
|
||||
rec.StartTime.Hour(), rec.StartTime.Minute(), rec.StartTime.Second(), rec.StartTime.Nanosecond(),
|
||||
startTime.Hour(), startTime.Minute(), startTime.Second(), startTime.Nanosecond(),
|
||||
loc,
|
||||
)
|
||||
if candidate.After(currentTime) {
|
||||
@@ -323,33 +265,30 @@ func (m *PlannedMaintenance) checkMonthly(currentTime time.Time, rec *Recurrence
|
||||
lastDayPrev := time.Date(y, m+1, 0, 0, 0, 0, 0, loc).Day()
|
||||
if refDay > lastDayPrev {
|
||||
candidate = time.Date(y, m, lastDayPrev,
|
||||
rec.StartTime.Hour(), rec.StartTime.Minute(), rec.StartTime.Second(), rec.StartTime.Nanosecond(),
|
||||
startTime.Hour(), startTime.Minute(), startTime.Second(), startTime.Nanosecond(),
|
||||
loc,
|
||||
)
|
||||
} else {
|
||||
candidate = time.Date(y, m, refDay,
|
||||
rec.StartTime.Hour(), rec.StartTime.Minute(), rec.StartTime.Second(), rec.StartTime.Nanosecond(),
|
||||
startTime.Hour(), startTime.Minute(), startTime.Second(), startTime.Nanosecond(),
|
||||
loc,
|
||||
)
|
||||
}
|
||||
}
|
||||
return currentTime.Sub(candidate) <= rec.Duration.Duration()
|
||||
return currentTime.Sub(candidate) <= m.Schedule.Recurrence.Duration.Duration()
|
||||
}
|
||||
|
||||
func (m *PlannedMaintenance) IsUpcoming() bool {
|
||||
loc, err := time.LoadLocation(m.Schedule.Timezone)
|
||||
if err != nil {
|
||||
return false
|
||||
}
|
||||
now := time.Now().In(loc)
|
||||
now := time.Now()
|
||||
|
||||
if !m.Schedule.StartTime.IsZero() && !m.Schedule.EndTime.IsZero() {
|
||||
return now.Before(m.Schedule.StartTime)
|
||||
if m.IsRecurring() {
|
||||
// Note: this would return true even if the maintenance is active.
|
||||
// This isn't an issue right now because the only usage happens after the `IsActive` check.
|
||||
return m.Schedule.EndTime.IsZero() || now.Before(m.Schedule.EndTime)
|
||||
}
|
||||
if m.Schedule.Recurrence != nil {
|
||||
return now.Before(m.Schedule.Recurrence.StartTime)
|
||||
}
|
||||
return false
|
||||
|
||||
// Fixed schedule
|
||||
return now.Before(m.Schedule.StartTime)
|
||||
}
|
||||
|
||||
func (m *PlannedMaintenance) IsRecurring() bool {
|
||||
@@ -363,19 +302,8 @@ func (m *PlannedMaintenance) Validate() error {
|
||||
if m.Schedule == nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing schedule in the payload")
|
||||
}
|
||||
if m.Schedule.Timezone == "" {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing timezone in the payload")
|
||||
}
|
||||
|
||||
_, err := time.LoadLocation(m.Schedule.Timezone)
|
||||
if err != nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "invalid timezone in the payload")
|
||||
}
|
||||
|
||||
if !m.Schedule.StartTime.IsZero() && !m.Schedule.EndTime.IsZero() {
|
||||
if m.Schedule.StartTime.After(m.Schedule.EndTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "start time cannot be after end time")
|
||||
}
|
||||
if !m.Schedule.EndTime.IsZero() && m.Schedule.StartTime.After(m.Schedule.EndTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "start time cannot be after end time")
|
||||
}
|
||||
|
||||
if m.Schedule.Recurrence != nil {
|
||||
@@ -385,28 +313,31 @@ func (m *PlannedMaintenance) Validate() error {
|
||||
if m.Schedule.Recurrence.Duration.IsZero() {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "missing duration in the payload")
|
||||
}
|
||||
if m.Schedule.Recurrence.EndTime != nil && m.Schedule.Recurrence.EndTime.Before(m.Schedule.Recurrence.StartTime) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload, "end time cannot be before start time")
|
||||
}
|
||||
if m.Scope != "" {
|
||||
if _, err := expr.Compile(m.Scope, expr.AllowUndefinedVariables(), expr.AsBool()); err != nil {
|
||||
err := errors.Newf(
|
||||
errors.TypeInvalidInput, ErrCodeInvalidPlannedMaintenancePayload,
|
||||
"invalid scope: %s", err.Error(),
|
||||
)
|
||||
return err.WithUrl(scopeDocUrl)
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func (m PlannedMaintenance) MarshalJSON() ([]byte, error) {
|
||||
now := time.Now().In(time.FixedZone(m.Schedule.Timezone, 0))
|
||||
var status MaintenanceStatus
|
||||
if m.IsActive(now) {
|
||||
if m.IsActive(time.Now()) {
|
||||
status = MaintenanceStatusActive
|
||||
} else if m.IsUpcoming() {
|
||||
status = MaintenanceStatusUpcoming
|
||||
} else {
|
||||
status = MaintenanceStatusExpired
|
||||
}
|
||||
var kind MaintenanceKind
|
||||
|
||||
if !m.Schedule.StartTime.IsZero() && !m.Schedule.EndTime.IsZero() && m.Schedule.EndTime.After(m.Schedule.StartTime) {
|
||||
kind = MaintenanceKindFixed
|
||||
} else {
|
||||
kind := MaintenanceKindFixed
|
||||
if m.Schedule.Recurrence != nil {
|
||||
kind = MaintenanceKindRecurring
|
||||
}
|
||||
|
||||
@@ -439,26 +370,29 @@ func (m PlannedMaintenance) MarshalJSON() ([]byte, error) {
|
||||
})
|
||||
}
|
||||
|
||||
func (m *PlannedMaintenanceWithRules) ToPlannedMaintenance() *PlannedMaintenance {
|
||||
ruleIDs := []string{}
|
||||
if m.Rules != nil {
|
||||
for _, storableMaintenanceRule := range m.Rules {
|
||||
ruleIDs = append(ruleIDs, storableMaintenanceRule.RuleID.StringValue())
|
||||
}
|
||||
func (m *PlannedMaintenanceWithRules) ToPlannedMaintenance() (*PlannedMaintenance, error) {
|
||||
schedule := &Schedule{}
|
||||
if err := json.Unmarshal([]byte(m.Schedule), &schedule); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
ruleIDs := make([]string, 0, len(m.Rules))
|
||||
for _, storableMaintenanceRule := range m.Rules {
|
||||
ruleIDs = append(ruleIDs, storableMaintenanceRule.RuleID.StringValue())
|
||||
}
|
||||
|
||||
return &PlannedMaintenance{
|
||||
ID: m.ID,
|
||||
Name: m.Name,
|
||||
Description: m.Description,
|
||||
Schedule: m.Schedule,
|
||||
Schedule: schedule,
|
||||
RuleIDs: ruleIDs,
|
||||
Scope: m.Scope,
|
||||
CreatedAt: m.CreatedAt,
|
||||
UpdatedAt: m.UpdatedAt,
|
||||
CreatedBy: m.CreatedBy,
|
||||
UpdatedBy: m.UpdatedBy,
|
||||
}
|
||||
}, nil
|
||||
}
|
||||
|
||||
type ListPlannedMaintenanceParams struct {
|
||||
|
||||
@@ -8,11 +8,6 @@ import (
|
||||
"github.com/prometheus/common/model"
|
||||
)
|
||||
|
||||
// Helper function to create a time pointer.
|
||||
func timePtr(t time.Time) *time.Time {
|
||||
return &t
|
||||
}
|
||||
|
||||
func TestShouldSkipMaintenance(t *testing.T) {
|
||||
cases := []struct {
|
||||
name string
|
||||
@@ -24,9 +19,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "only-on-saturday",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "Europe/London",
|
||||
Timezone: "Europe/London",
|
||||
StartTime: time.Date(2025, 3, 1, 0, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2025, 3, 1, 0, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("24h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday, RepeatOnTuesday, RepeatOnWednesday, RepeatOnThursday, RepeatOnFriday, RepeatOnSunday},
|
||||
@@ -41,10 +36,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-across-midnight-previous-day",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Tuesday 02:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Tuesday 02:00
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday}, // Only Monday
|
||||
},
|
||||
@@ -58,10 +53,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-across-midnight-previous-day",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Tuesday 02:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Tuesday 02:00
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday}, // Only Monday
|
||||
},
|
||||
@@ -75,10 +70,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-across-midnight-previous-day",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 22, 0, 0, 0, time.UTC), // Monday 22:00
|
||||
Duration: valuer.MustParseTextDuration("52h"), // Until Thursday 02:00
|
||||
Duration: valuer.MustParseTextDuration("52h"), // Until Thursday 02:00
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday}, // Only Monday
|
||||
},
|
||||
@@ -92,10 +87,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-across-midnight-previous-day-not-in-repeaton",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 2, 22, 0, 0, 0, time.UTC), // Tuesday 22:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 2, 22, 0, 0, 0, time.UTC), // Tuesday 22:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Wednesday 02:00
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until Wednesday 02:00
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnTuesday}, // Only Tuesday
|
||||
},
|
||||
@@ -109,10 +104,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "daily-maintenance-across-midnight",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 23, 0, 0, 0, time.UTC), // 23:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 23, 0, 0, 0, time.UTC), // 23:00
|
||||
Duration: valuer.MustParseTextDuration("2h"), // Until 01:00 next day
|
||||
Duration: valuer.MustParseTextDuration("2h"), // Until 01:00 next day
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
@@ -125,9 +120,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "at-start-time-boundary",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -141,9 +136,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "at-end-time-boundary",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -157,9 +152,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-multi-day-duration",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 28, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 28, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("72h"), // 3 days
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -173,9 +168,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-multi-day-duration",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 28, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 28, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("72h"), // 3 days
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnSunday},
|
||||
@@ -190,9 +185,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-crosses-to-next-month",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 30, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 30, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("48h"), // 2 days, crosses to Feb 1
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -206,9 +201,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "timezone-offset-test",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "America/New_York", // UTC-5 or UTC-4 depending on DST
|
||||
Timezone: "America/New_York", // UTC-5 or UTC-4 depending on DST
|
||||
StartTime: time.Date(2024, 1, 1, 22, 0, 0, 0, time.FixedZone("America/New_York", -5*3600)),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 22, 0, 0, 0, time.FixedZone("America/New_York", -5*3600)),
|
||||
Duration: valuer.MustParseTextDuration("4h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -222,9 +217,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "daily-maintenance-time-outside-window",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -238,10 +233,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring-maintenance-with-past-end-date",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
EndTime: time.Date(2024, 1, 10, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
EndTime: timePtr(time.Date(2024, 1, 10, 12, 0, 0, 0, time.UTC)),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -255,10 +250,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-spans-month-end",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 3, 31, 22, 0, 0, 0, time.UTC), // March 31, 22:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 3, 31, 22, 0, 0, 0, time.UTC), // March 31, 22:00
|
||||
Duration: valuer.MustParseTextDuration("6h"), // Until April 1, 04:00
|
||||
Duration: valuer.MustParseTextDuration("6h"), // Until April 1, 04:00
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
},
|
||||
@@ -271,9 +266,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-empty-repeaton",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{}, // Empty - should apply to all days
|
||||
@@ -288,9 +283,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-february-fewer-days",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -303,9 +298,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "daily-maintenance-crosses-midnight",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 23, 30, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 23, 30, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("1h"), // Crosses to 00:30 next day
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -318,9 +313,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-crosses-month-end",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -333,9 +328,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-crosses-month-end-and-duration-is-2-days",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 30, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 30, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("48h"), // 2 days duration
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -348,10 +343,10 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "weekly-maintenance-crosses-midnight",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 23, 0, 0, 0, time.UTC), // Monday 23:00
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 23, 0, 0, 0, time.UTC), // Monday 23:00
|
||||
Duration: valuer.MustParseTextDuration("2h"), // Until Tuesday 01:00
|
||||
Duration: valuer.MustParseTextDuration("2h"), // Until Tuesday 01:00
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday}, // Only Monday
|
||||
},
|
||||
@@ -364,9 +359,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-crosses-month-end-and-duration-is-2-days",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC), // January 31st
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -379,9 +374,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "daily-maintenance-crosses-midnight",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 22, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 22, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("4h"), // Until 02:00 next day
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
@@ -394,9 +389,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "monthly-maintenance-crosses-month-end-and-duration-is-2-hours",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 31, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -445,9 +440,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat sunday, saturday, weekly for 24 hours, in Us/Eastern timezone",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "US/Eastern",
|
||||
Timezone: "US/Eastern",
|
||||
StartTime: time.Date(2025, 3, 29, 20, 0, 0, 0, time.FixedZone("US/Eastern", -4*3600)),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2025, 3, 29, 20, 0, 0, 0, time.FixedZone("US/Eastern", -4*3600)),
|
||||
Duration: valuer.MustParseTextDuration("24h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnSunday, RepeatOnSaturday},
|
||||
@@ -458,57 +453,57 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
skip: true,
|
||||
},
|
||||
{
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00",
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00, ts < start",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
ts: time.Date(2024, 1, 1, 12, 10, 0, 0, time.UTC),
|
||||
ts: time.Date(2024, 1, 10, 11, 0, 0, 0, time.UTC),
|
||||
skip: false,
|
||||
},
|
||||
{
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00, start <= ts <= end",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
ts: time.Date(2024, 1, 10, 13, 0, 0, 0, time.UTC),
|
||||
skip: true,
|
||||
},
|
||||
{
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00",
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00, start > end",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
ts: time.Date(2024, 1, 1, 14, 0, 0, 0, time.UTC),
|
||||
skip: true,
|
||||
},
|
||||
{
|
||||
name: "recurring maintenance, repeat daily from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
ts: time.Date(2024, 4, 1, 12, 10, 0, 0, time.UTC),
|
||||
skip: true,
|
||||
ts: time.Date(2024, 1, 10, 15, 0, 0, 0, time.UTC),
|
||||
skip: false,
|
||||
},
|
||||
{
|
||||
name: "recurring maintenance, repeat weekly on monday from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
@@ -522,9 +517,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat weekly on monday from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
@@ -538,9 +533,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat weekly on monday from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
@@ -554,9 +549,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat weekly on monday from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
@@ -570,9 +565,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat weekly on monday from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 1, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
@@ -586,9 +581,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat monthly on 4th from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -601,9 +596,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat monthly on 4th from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -616,9 +611,9 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
name: "recurring maintenance, repeat monthly on 4th from 12:00 to 14:00",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2024, 4, 4, 12, 0, 0, 0, time.UTC),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
@@ -627,45 +622,6 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
ts: time.Date(2024, 5, 4, 12, 10, 0, 0, time.UTC),
|
||||
skip: true,
|
||||
},
|
||||
// The recurrence should govern, when set. Not the fixed range.
|
||||
{
|
||||
name: "recurring-daily-with-fixed-times-outside-daily-window",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
// These fixed fields should be ignored when Recurrence is set.
|
||||
StartTime: time.Date(2026, 4, 1, 14, 0, 0, 0, time.UTC),
|
||||
EndTime: time.Date(2026, 4, 30, 18, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2026, 4, 1, 14, 0, 0, 0, time.UTC), // daily at 14:00
|
||||
Duration: valuer.MustParseTextDuration("2h"), // until 16:00
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
// 2026-04-15 11:00 is inside the fixed range but outside the daily 14:00-16:00 window.
|
||||
ts: time.Date(2026, 4, 15, 11, 0, 0, 0, time.UTC),
|
||||
skip: false,
|
||||
},
|
||||
{
|
||||
name: "recurring-daily-with-fixed-times-inside-daily-window",
|
||||
maintenance: &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Date(2026, 4, 1, 14, 0, 0, 0, time.UTC),
|
||||
EndTime: time.Date(2026, 4, 30, 18, 0, 0, 0, time.UTC),
|
||||
Recurrence: &Recurrence{
|
||||
StartTime: time.Date(2026, 4, 1, 14, 0, 0, 0, time.UTC),
|
||||
EndTime: timePtr(time.Date(2026, 4, 30, 18, 0, 0, 0, time.UTC)),
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
},
|
||||
},
|
||||
},
|
||||
// 15:00 is inside the daily 14:00-16:00 window. Should skip.
|
||||
ts: time.Date(2026, 4, 15, 15, 0, 0, 0, time.UTC),
|
||||
skip: true,
|
||||
},
|
||||
}
|
||||
|
||||
for idx, c := range cases {
|
||||
@@ -679,13 +635,211 @@ func TestShouldSkipMaintenance(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
func TestIsActiveFixedSchedule(t *testing.T) {
|
||||
start := time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC)
|
||||
end := time.Date(2024, 1, 10, 12, 0, 0, 0, time.UTC)
|
||||
|
||||
cases := []struct {
|
||||
name string
|
||||
startTime time.Time
|
||||
endTime time.Time
|
||||
now time.Time
|
||||
active bool
|
||||
}{
|
||||
{
|
||||
name: "no end, t < start",
|
||||
startTime: start,
|
||||
now: start.Add(-time.Hour),
|
||||
active: false,
|
||||
},
|
||||
{
|
||||
name: "no end, start == t",
|
||||
startTime: start,
|
||||
now: start,
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
// A fixed schedule with no end time stays active indefinitely.
|
||||
name: "no end, start << t",
|
||||
startTime: start,
|
||||
now: start.AddDate(10, 0, 0),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "with end, start < t < end",
|
||||
startTime: start,
|
||||
endTime: end,
|
||||
now: start.Add(24 * time.Hour),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "with end, t == end",
|
||||
startTime: start,
|
||||
endTime: end,
|
||||
now: end,
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "with end, end < t",
|
||||
startTime: start,
|
||||
endTime: end,
|
||||
now: end.Add(time.Hour),
|
||||
active: false,
|
||||
},
|
||||
}
|
||||
|
||||
for _, c := range cases {
|
||||
t.Run(c.name, func(t *testing.T) {
|
||||
m := &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: c.startTime,
|
||||
EndTime: c.endTime,
|
||||
},
|
||||
}
|
||||
if got := m.IsActive(c.now); got != c.active {
|
||||
t.Errorf("IsActive() = %v, want %v", got, c.active)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestIsActiveRecurringSchedule(t *testing.T) {
|
||||
// Daily window 12:00-14:00, starting 2024-01-01 (a Monday).
|
||||
start := time.Date(2024, 1, 1, 12, 0, 0, 0, time.UTC)
|
||||
|
||||
daily := &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeDaily,
|
||||
}
|
||||
|
||||
cases := []struct {
|
||||
name string
|
||||
startTime time.Time
|
||||
endTime time.Time
|
||||
recurrence *Recurrence
|
||||
now time.Time
|
||||
active bool
|
||||
}{
|
||||
{
|
||||
// The recurrence has not begun yet, even though the time-of-day matches.
|
||||
name: "daily: t < recurrence start",
|
||||
startTime: start,
|
||||
recurrence: daily,
|
||||
now: time.Date(2023, 12, 31, 13, 0, 0, 0, time.UTC),
|
||||
active: false,
|
||||
},
|
||||
{
|
||||
name: "daily: no end, within window",
|
||||
startTime: start,
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 6, 15, 13, 0, 0, 0, time.UTC),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "daily: no end, outside window",
|
||||
startTime: start,
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 6, 15, 15, 0, 0, 0, time.UTC),
|
||||
active: false,
|
||||
},
|
||||
{
|
||||
name: "daily: at window start boundary",
|
||||
startTime: start,
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 6, 15, 12, 0, 0, 0, time.UTC),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "daily: at window end boundary",
|
||||
startTime: start,
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 6, 15, 14, 0, 0, 0, time.UTC),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
// Past the recurrence end, the time-of-day match no longer applies.
|
||||
name: "daily: t > recurrence end",
|
||||
startTime: start,
|
||||
endTime: time.Date(2024, 1, 10, 12, 0, 0, 0, time.UTC),
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 1, 15, 13, 0, 0, 0, time.UTC),
|
||||
active: false,
|
||||
},
|
||||
{
|
||||
name: "daily: before recurrence end, within window",
|
||||
startTime: start,
|
||||
endTime: time.Date(2024, 1, 10, 23, 0, 0, 0, time.UTC),
|
||||
recurrence: daily,
|
||||
now: time.Date(2024, 1, 10, 13, 0, 0, 0, time.UTC),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "weekly: on allowed day, within window",
|
||||
startTime: start, // Monday
|
||||
recurrence: &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
},
|
||||
now: time.Date(2024, 4, 15, 13, 0, 0, 0, time.UTC), // a Monday
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "weekly: on non-allowed day",
|
||||
startTime: start,
|
||||
recurrence: &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeWeekly,
|
||||
RepeatOn: []RepeatOn{RepeatOnMonday},
|
||||
},
|
||||
now: time.Date(2024, 4, 16, 13, 0, 0, 0, time.UTC), // a Tuesday
|
||||
active: false,
|
||||
},
|
||||
{
|
||||
name: "monthly: on day-of-month, within window",
|
||||
startTime: time.Date(2024, 1, 4, 12, 0, 0, 0, time.UTC),
|
||||
recurrence: &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
now: time.Date(2024, 5, 4, 13, 0, 0, 0, time.UTC),
|
||||
active: true,
|
||||
},
|
||||
{
|
||||
name: "monthly: on different day-of-month",
|
||||
startTime: time.Date(2024, 1, 4, 12, 0, 0, 0, time.UTC),
|
||||
recurrence: &Recurrence{
|
||||
Duration: valuer.MustParseTextDuration("2h"),
|
||||
RepeatType: RepeatTypeMonthly,
|
||||
},
|
||||
now: time.Date(2024, 5, 5, 13, 0, 0, 0, time.UTC),
|
||||
active: false,
|
||||
},
|
||||
}
|
||||
|
||||
for _, c := range cases {
|
||||
t.Run(c.name, func(t *testing.T) {
|
||||
m := &PlannedMaintenance{
|
||||
Schedule: &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: c.startTime,
|
||||
EndTime: c.endTime,
|
||||
Recurrence: c.recurrence,
|
||||
},
|
||||
}
|
||||
if got := m.IsActive(c.now); got != c.active {
|
||||
t.Errorf("IsActive() = %v, want %v", got, c.active)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestShouldSkip_Scope(t *testing.T) {
|
||||
activeSchedule := func() *Schedule {
|
||||
return &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Now().UTC().Add(-time.Hour),
|
||||
EndTime: time.Now().UTC().Add(time.Hour),
|
||||
}
|
||||
activeSchedule := &Schedule{
|
||||
Timezone: "UTC",
|
||||
StartTime: time.Now().UTC().Add(-time.Hour),
|
||||
EndTime: time.Now().UTC().Add(time.Hour),
|
||||
}
|
||||
now := time.Now().UTC()
|
||||
|
||||
@@ -699,7 +853,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
}{
|
||||
{
|
||||
name: "empty scope - no label filtering applied",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule()},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production"},
|
||||
@@ -707,7 +861,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "scope matches labels",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production"},
|
||||
@@ -715,7 +869,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "scope does not match labels",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "staging"},
|
||||
@@ -723,7 +877,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "AND expression - both conditions match",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production" AND service = "api"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production" AND service = "api"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production", "service": "api"},
|
||||
@@ -731,7 +885,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "AND expression - one condition does not match",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production" AND service = "api"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production" AND service = "api"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production", "service": "worker"},
|
||||
@@ -739,7 +893,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "OR expression - first alternative matches",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production" OR env = "staging"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production" OR env = "staging"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production"},
|
||||
@@ -747,7 +901,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "OR expression - second alternative matches",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production" OR env = "staging"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production" OR env = "staging"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "staging"},
|
||||
@@ -755,7 +909,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "OR expression - neither alternative matches",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production" OR env = "staging"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production" OR env = "staging"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "development"},
|
||||
@@ -763,7 +917,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "scope references label absent from lset",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"service": "api"},
|
||||
@@ -771,7 +925,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "in expression - value is in list",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env in ["production", "staging"]`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env in ["production", "staging"]`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "staging"},
|
||||
@@ -779,7 +933,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "in expression - value not in list",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), Scope: `env in ["production", "staging"]`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, Scope: `env in ["production", "staging"]`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "development"},
|
||||
@@ -787,7 +941,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "ruleID in list and scope matches - should skip",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), RuleIDs: []string{"rule-1", "rule-2"}, Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, RuleIDs: []string{"rule-1", "rule-2"}, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production"},
|
||||
@@ -795,7 +949,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "ruleID not in list and scope matches - ruleID gate prevents skip",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), RuleIDs: []string{"rule-2"}, Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, RuleIDs: []string{"rule-2"}, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "production"},
|
||||
@@ -803,7 +957,7 @@ func TestShouldSkip_Scope(t *testing.T) {
|
||||
},
|
||||
{
|
||||
name: "ruleID in list but scope does not match - should not skip",
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule(), RuleIDs: []string{"rule-1"}, Scope: `env = "production"`},
|
||||
maintenance: &PlannedMaintenance{Schedule: activeSchedule, RuleIDs: []string{"rule-1"}, Scope: `env = "production"`},
|
||||
ruleID: "rule-1",
|
||||
ts: now,
|
||||
lset: model.LabelSet{"env": "staging"},
|
||||
|
||||
@@ -66,9 +66,9 @@ var RepeatOnAllMap = map[RepeatOn]time.Weekday{
|
||||
RepeatOnSaturday: time.Saturday,
|
||||
}
|
||||
|
||||
// Recurrence describes the repeat pattern of a planned maintenance.
|
||||
// The window bounds (start/end) live on the enclosing Schedule.
|
||||
type Recurrence struct {
|
||||
StartTime time.Time `json:"startTime" required:"true"`
|
||||
EndTime *time.Time `json:"endTime,omitempty"`
|
||||
Duration valuer.TextDuration `json:"duration" required:"true"`
|
||||
RepeatType RepeatType `json:"repeatType" required:"true"`
|
||||
RepeatOn []RepeatOn `json:"repeatOn"`
|
||||
|
||||
@@ -11,7 +11,7 @@ import (
|
||||
|
||||
type Schedule struct {
|
||||
Timezone string `json:"timezone" required:"true"`
|
||||
StartTime time.Time `json:"startTime,omitempty"`
|
||||
StartTime time.Time `json:"startTime" required:"true"`
|
||||
EndTime time.Time `json:"endTime,omitzero"`
|
||||
Recurrence *Recurrence `json:"recurrence"`
|
||||
}
|
||||
@@ -39,29 +39,12 @@ func (s Schedule) MarshalJSON() ([]byte, error) {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
var startTime, endTime time.Time
|
||||
if !s.StartTime.IsZero() {
|
||||
startTime = time.Date(s.StartTime.Year(), s.StartTime.Month(), s.StartTime.Day(), s.StartTime.Hour(), s.StartTime.Minute(), s.StartTime.Second(), s.StartTime.Nanosecond(), loc)
|
||||
}
|
||||
// Marshal times in the selected timezone.
|
||||
// This ensures that recurring events are handled correctly when DST is involved.
|
||||
startTime := s.StartTime.In(loc)
|
||||
var endTime time.Time
|
||||
if !s.EndTime.IsZero() {
|
||||
endTime = time.Date(s.EndTime.Year(), s.EndTime.Month(), s.EndTime.Day(), s.EndTime.Hour(), s.EndTime.Minute(), s.EndTime.Second(), s.EndTime.Nanosecond(), loc)
|
||||
}
|
||||
|
||||
var recurrence *Recurrence
|
||||
if s.Recurrence != nil {
|
||||
recStartTime := time.Date(s.Recurrence.StartTime.Year(), s.Recurrence.StartTime.Month(), s.Recurrence.StartTime.Day(), s.Recurrence.StartTime.Hour(), s.Recurrence.StartTime.Minute(), s.Recurrence.StartTime.Second(), s.Recurrence.StartTime.Nanosecond(), loc)
|
||||
var recEndTime *time.Time
|
||||
if s.Recurrence.EndTime != nil {
|
||||
end := time.Date(s.Recurrence.EndTime.Year(), s.Recurrence.EndTime.Month(), s.Recurrence.EndTime.Day(), s.Recurrence.EndTime.Hour(), s.Recurrence.EndTime.Minute(), s.Recurrence.EndTime.Second(), s.Recurrence.EndTime.Nanosecond(), loc)
|
||||
recEndTime = &end
|
||||
}
|
||||
recurrence = &Recurrence{
|
||||
StartTime: recStartTime,
|
||||
EndTime: recEndTime,
|
||||
Duration: s.Recurrence.Duration,
|
||||
RepeatType: s.Recurrence.RepeatType,
|
||||
RepeatOn: s.Recurrence.RepeatOn,
|
||||
}
|
||||
endTime = s.EndTime.In(loc)
|
||||
}
|
||||
|
||||
return json.Marshal(&struct {
|
||||
@@ -73,7 +56,7 @@ func (s Schedule) MarshalJSON() ([]byte, error) {
|
||||
Timezone: s.Timezone,
|
||||
StartTime: startTime,
|
||||
EndTime: endTime,
|
||||
Recurrence: recurrence,
|
||||
Recurrence: s.Recurrence,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -88,55 +71,35 @@ func (s *Schedule) UnmarshalJSON(data []byte) error {
|
||||
return err
|
||||
}
|
||||
|
||||
loc, err := time.LoadLocation(aux.Timezone)
|
||||
if err != nil {
|
||||
return err
|
||||
if aux.Timezone == "" {
|
||||
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "missing timezone")
|
||||
}
|
||||
|
||||
var startTime time.Time
|
||||
if aux.StartTime != "" {
|
||||
startTime, err = time.Parse(time.RFC3339, aux.StartTime)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
s.StartTime = time.Date(startTime.Year(), startTime.Month(), startTime.Day(), startTime.Hour(), startTime.Minute(), startTime.Second(), startTime.Nanosecond(), loc)
|
||||
loc, err := time.LoadLocation(aux.Timezone)
|
||||
if err != nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, `invalid timezone "%s"`, aux.Timezone)
|
||||
}
|
||||
|
||||
startTime, err := time.Parse(time.RFC3339, aux.StartTime)
|
||||
if err != nil {
|
||||
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, `invalid start time "%s"`, aux.StartTime)
|
||||
}
|
||||
startTime = startTime.In(loc)
|
||||
|
||||
var endTime time.Time
|
||||
if aux.EndTime != "" {
|
||||
endTime, err = time.Parse(time.RFC3339, aux.EndTime)
|
||||
if err != nil {
|
||||
return err
|
||||
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, `invalid end time "%s"`, aux.EndTime)
|
||||
}
|
||||
if !endTime.IsZero() {
|
||||
endTime = endTime.In(loc)
|
||||
}
|
||||
// TODO(jatinderjit): if endTime.IsZero() then we should not set the endTime
|
||||
s.EndTime = time.Date(endTime.Year(), endTime.Month(), endTime.Day(), endTime.Hour(), endTime.Minute(), endTime.Second(), endTime.Nanosecond(), loc)
|
||||
}
|
||||
|
||||
s.Timezone = aux.Timezone
|
||||
|
||||
if aux.Recurrence != nil {
|
||||
recStartTime, err := time.Parse(time.RFC3339, aux.Recurrence.StartTime.Format(time.RFC3339))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
var recEndTime *time.Time
|
||||
if aux.Recurrence.EndTime != nil {
|
||||
end, err := time.Parse(time.RFC3339, aux.Recurrence.EndTime.Format(time.RFC3339))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
endConverted := time.Date(end.Year(), end.Month(), end.Day(), end.Hour(), end.Minute(), end.Second(), end.Nanosecond(), loc)
|
||||
recEndTime = &endConverted
|
||||
}
|
||||
|
||||
s.Recurrence = &Recurrence{
|
||||
StartTime: time.Date(recStartTime.Year(), recStartTime.Month(), recStartTime.Day(), recStartTime.Hour(), recStartTime.Minute(), recStartTime.Second(), recStartTime.Nanosecond(), loc),
|
||||
EndTime: recEndTime,
|
||||
Duration: aux.Recurrence.Duration,
|
||||
RepeatType: aux.Recurrence.RepeatType,
|
||||
RepeatOn: aux.Recurrence.RepeatOn,
|
||||
}
|
||||
}
|
||||
s.StartTime = startTime
|
||||
s.EndTime = endTime
|
||||
s.Recurrence = aux.Recurrence
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -31,7 +31,6 @@ var (
|
||||
AzureServiceAppService = ServiceID{valuer.NewString("appservice")}
|
||||
AzureServiceContainerApp = ServiceID{valuer.NewString("containerapp")}
|
||||
AzureServiceAKS = ServiceID{valuer.NewString("aks")}
|
||||
AzureServiceSQLDatabase = ServiceID{valuer.NewString("sqldatabase")}
|
||||
)
|
||||
|
||||
func (ServiceID) Enum() []any {
|
||||
@@ -55,7 +54,6 @@ func (ServiceID) Enum() []any {
|
||||
AzureServiceAppService,
|
||||
AzureServiceContainerApp,
|
||||
AzureServiceAKS,
|
||||
AzureServiceSQLDatabase,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -83,7 +81,6 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
|
||||
AzureServiceAppService,
|
||||
AzureServiceContainerApp,
|
||||
AzureServiceAKS,
|
||||
AzureServiceSQLDatabase,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
67
pkg/types/dashboardtypes/perses_v1_to_v2.go
Normal file
67
pkg/types/dashboardtypes/perses_v1_to_v2.go
Normal file
@@ -0,0 +1,67 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
)
|
||||
|
||||
// V1 → V2 migration. The v1 storable shape is the frontend's `DashboardData`
|
||||
// (see frontend/src/types/api/dashboard/getAll.ts); v2 is DashboardV2 /
|
||||
// DashboardSpec.
|
||||
//
|
||||
// Assumes the v1 widget query data has already been migrated to v5 shape
|
||||
// (transition.dashboardMigrateV5). Pre-v5 builder queries will produce
|
||||
// invalid v2 envelopes — run the v4→v5 migration first.
|
||||
//
|
||||
// The conversion is split across sibling files by concern:
|
||||
// - perses_v1_to_v2_tags.go tags
|
||||
// - perses_v1_to_v2_panels.go widgets → panels (+ panel field mappers)
|
||||
// - perses_v1_to_v2_queries.go widget queries
|
||||
// - perses_v1_to_v2_layouts.go grid layouts and sections
|
||||
// - perses_v1_to_v2_variables.go variables
|
||||
// - perses_v1_to_v2_helpers.go generic map/slice accessors
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Entry point
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func (storable StorableDashboard) IsV2() bool {
|
||||
metadata, _ := storable.Data["metadata"].(map[string]any)
|
||||
if metadata == nil {
|
||||
return false
|
||||
}
|
||||
version, _ := metadata["schemaVersion"].(string)
|
||||
return version == SchemaVersion
|
||||
}
|
||||
|
||||
func (storable StorableDashboard) ConvertV1ToV2() (*DashboardV2, error) {
|
||||
if storable.IsV2() {
|
||||
return nil, errors.Newf(errors.TypeInvalidInput, ErrCodeDashboardInvalidData, "dashboard %s is already in %s schema", storable.ID, SchemaVersion)
|
||||
}
|
||||
|
||||
image, _ := storable.Data["image"].(string)
|
||||
title, _ := storable.Data["title"].(string)
|
||||
description, _ := storable.Data["description"].(string)
|
||||
|
||||
spec := DashboardSpec{
|
||||
Display: Display{Name: title, Description: description},
|
||||
Variables: convertV1Variables(storable.Data["variables"]),
|
||||
Panels: convertV1Panels(storable.Data["widgets"]),
|
||||
Layouts: convertV1Layouts(storable.Data),
|
||||
}
|
||||
|
||||
return &DashboardV2{
|
||||
Identifiable: storable.Identifiable,
|
||||
TimeAuditable: storable.TimeAuditable,
|
||||
UserAuditable: storable.UserAuditable,
|
||||
OrgID: storable.OrgID,
|
||||
Locked: storable.Locked,
|
||||
Source: storable.Source,
|
||||
DashboardV2MetadataBase: DashboardV2MetadataBase{
|
||||
SchemaVersion: SchemaVersion,
|
||||
Image: image,
|
||||
},
|
||||
Name: storable.Name,
|
||||
Tags: convertV1TagsForOrg(storable.OrgID, storable.Data["tags"]),
|
||||
Spec: spec,
|
||||
}, nil
|
||||
}
|
||||
85
pkg/types/dashboardtypes/perses_v1_to_v2_helpers.go
Normal file
85
pkg/types/dashboardtypes/perses_v1_to_v2_helpers.go
Normal file
@@ -0,0 +1,85 @@
|
||||
package dashboardtypes
|
||||
|
||||
import "encoding/json"
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Generic helpers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// ptrValueAt is the pointer-returning sibling of valueAt: it returns *T so the
|
||||
// caller can tell "absent / wrong type" (nil) apart from a present zero value.
|
||||
// Used for optional fields like soft axis bounds and histogram bucket sizing.
|
||||
func ptrValueAt[T any](raw any, key string) *T {
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
v, ok := m[key].(T)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
return &v
|
||||
}
|
||||
|
||||
func readStringMap(raw any) map[string]string {
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok || len(m) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make(map[string]string, len(m))
|
||||
for k, v := range m {
|
||||
if s, ok := v.(string); ok {
|
||||
out[k] = s
|
||||
}
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func readSliceOfMaps(raw any) []map[string]any {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
out := make([]map[string]any, 0, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
if m, ok := item.(map[string]any); ok {
|
||||
out = append(out, m)
|
||||
}
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// valueAt reads key from raw (when raw is a map[string]any) and returns its
|
||||
// value as T, or the zero value of T if raw isn't a map, the key is absent, or
|
||||
// the stored value isn't a T. Used to pull typed fields out of the untyped v1
|
||||
// dashboard blob.
|
||||
func valueAt[T any](raw any, key string) T {
|
||||
var zero T
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok {
|
||||
return zero
|
||||
}
|
||||
v, _ := m[key].(T)
|
||||
return v
|
||||
}
|
||||
|
||||
// intAt is a thin wrapper over valueAt: JSON decodes numbers as float64, so an
|
||||
// integer field must be read as float64 and narrowed.
|
||||
func intAt(raw any, key string) int {
|
||||
return int(valueAt[float64](raw, key))
|
||||
}
|
||||
|
||||
// decodeMapInto converts an untyped map[string]any into a typed T by
|
||||
// round-tripping through JSON, letting encoding/json (struct tags, custom
|
||||
// UnmarshalJSON) do the field mapping instead of hand-copying out of the map.
|
||||
func decodeMapInto[T any](src map[string]any) (T, error) {
|
||||
var dst T
|
||||
bytes, err := json.Marshal(src)
|
||||
if err != nil {
|
||||
return dst, err
|
||||
}
|
||||
if err := json.Unmarshal(bytes, &dst); err != nil {
|
||||
return dst, err
|
||||
}
|
||||
return dst, nil
|
||||
}
|
||||
138
pkg/types/dashboardtypes/perses_v1_to_v2_layouts.go
Normal file
138
pkg/types/dashboardtypes/perses_v1_to_v2_layouts.go
Normal file
@@ -0,0 +1,138 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"sort"
|
||||
|
||||
"github.com/perses/spec/go/common"
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Layouts (data.layout + data.panelMap)
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Layouts groups v1 react-grid-layout entries by section. Each row
|
||||
// widget (panelTypes == "row") in `widgets` plus its `panelMap` entry becomes
|
||||
// a separate v2 grid layout with a collapsible display. Widgets that are not
|
||||
// part of any section land in a default unnamed grid (added only if any such
|
||||
// widgets exist).
|
||||
func convertV1Layouts(data StorableDashboardData) []Layout {
|
||||
layoutsRaw := readSliceOfMaps(data["layout"])
|
||||
if len(layoutsRaw) == 0 {
|
||||
return nil
|
||||
}
|
||||
panelMap, _ := data["panelMap"].(map[string]any)
|
||||
|
||||
rows, widgetIDToRow := indexRows(data["widgets"], panelMap)
|
||||
|
||||
type bucket struct {
|
||||
title string
|
||||
open bool
|
||||
isRow bool
|
||||
layouts []map[string]any
|
||||
ordering int
|
||||
}
|
||||
rootBucket := &bucket{}
|
||||
rowBuckets := make(map[string]*bucket, len(rows))
|
||||
for _, row := range rows {
|
||||
rowBuckets[row.id] = &bucket{
|
||||
title: row.title,
|
||||
open: !row.collapsed,
|
||||
isRow: true,
|
||||
ordering: row.ordering,
|
||||
}
|
||||
}
|
||||
|
||||
for _, item := range layoutsRaw {
|
||||
widgetID, _ := item["i"].(string)
|
||||
if widgetID == "" {
|
||||
continue
|
||||
}
|
||||
if rowID, ok := widgetIDToRow[widgetID]; ok {
|
||||
if b, ok := rowBuckets[rowID]; ok {
|
||||
b.layouts = append(b.layouts, item)
|
||||
continue
|
||||
}
|
||||
}
|
||||
// row widgets themselves shouldn't end up as items in the root grid;
|
||||
// they exist only to anchor their section.
|
||||
if _, isRow := rowBuckets[widgetID]; isRow {
|
||||
continue
|
||||
}
|
||||
rootBucket.layouts = append(rootBucket.layouts, item)
|
||||
}
|
||||
|
||||
out := make([]Layout, 0, len(rows)+1)
|
||||
if len(rootBucket.layouts) > 0 {
|
||||
out = append(out, gridLayoutFromBucket("", true, false, rootBucket.layouts))
|
||||
}
|
||||
|
||||
rowKeys := make([]string, 0, len(rowBuckets))
|
||||
for id := range rowBuckets {
|
||||
rowKeys = append(rowKeys, id)
|
||||
}
|
||||
sort.SliceStable(rowKeys, func(i, j int) bool {
|
||||
return rowBuckets[rowKeys[i]].ordering < rowBuckets[rowKeys[j]].ordering
|
||||
})
|
||||
for _, id := range rowKeys {
|
||||
b := rowBuckets[id]
|
||||
out = append(out, gridLayoutFromBucket(b.title, b.open, true, b.layouts))
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
type rowInfo struct {
|
||||
id string
|
||||
title string
|
||||
collapsed bool
|
||||
ordering int
|
||||
}
|
||||
|
||||
func indexRows(widgetsRaw any, panelMap map[string]any) ([]rowInfo, map[string]string) {
|
||||
widgets := readSliceOfMaps(widgetsRaw)
|
||||
rows := make([]rowInfo, 0)
|
||||
widgetToRow := make(map[string]string)
|
||||
for i, w := range widgets {
|
||||
if t, _ := w["panelTypes"].(string); t != "row" {
|
||||
continue
|
||||
}
|
||||
id, _ := w["id"].(string)
|
||||
if id == "" {
|
||||
continue
|
||||
}
|
||||
title, _ := w["title"].(string)
|
||||
row := rowInfo{id: id, title: title, ordering: i}
|
||||
if pm, ok := panelMap[id].(map[string]any); ok {
|
||||
row.collapsed = valueAt[bool](pm, "collapsed")
|
||||
for _, child := range readSliceOfMaps(pm["widgets"]) {
|
||||
if childID, _ := child["i"].(string); childID != "" {
|
||||
widgetToRow[childID] = id
|
||||
}
|
||||
}
|
||||
}
|
||||
rows = append(rows, row)
|
||||
}
|
||||
return rows, widgetToRow
|
||||
}
|
||||
|
||||
func gridLayoutFromBucket(title string, open, isRow bool, items []map[string]any) Layout {
|
||||
spec := dashboard.GridLayoutSpec{Items: make([]dashboard.GridItem, 0, len(items))}
|
||||
if title != "" || isRow {
|
||||
spec.Display = &dashboard.GridLayoutDisplay{Title: title}
|
||||
if isRow {
|
||||
spec.Display.Collapse = &dashboard.GridLayoutCollapse{Open: open}
|
||||
}
|
||||
}
|
||||
for _, item := range items {
|
||||
widgetID, _ := item["i"].(string)
|
||||
spec.Items = append(spec.Items, dashboard.GridItem{
|
||||
X: intAt(item, "x"),
|
||||
Y: intAt(item, "y"),
|
||||
Width: intAt(item, "w"),
|
||||
Height: intAt(item, "h"),
|
||||
Content: &common.JSONRef{Ref: fmt.Sprintf("#/spec/panels/%s", widgetID)},
|
||||
})
|
||||
}
|
||||
return Layout{Kind: dashboard.KindGridLayout, Spec: &spec}
|
||||
}
|
||||
449
pkg/types/dashboardtypes/perses_v1_to_v2_panels.go
Normal file
449
pkg/types/dashboardtypes/perses_v1_to_v2_panels.go
Normal file
@@ -0,0 +1,449 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Widgets → Panels
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Panels walks the v1 `widgets` array and produces v2 panels keyed by
|
||||
// the v1 widget id. WidgetRow entries (panelTypes == "row") are dropped here
|
||||
// and consumed by convertV1Layouts as section headers.
|
||||
func convertV1Panels(raw any) map[string]*Panel {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
panels := make(map[string]*Panel, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
widget, ok := item.(map[string]any)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
id, _ := widget["id"].(string)
|
||||
if id == "" {
|
||||
continue
|
||||
}
|
||||
panelType, _ := widget["panelTypes"].(string)
|
||||
var panel *Panel
|
||||
switch panelType {
|
||||
case "graph":
|
||||
panel = convertGraphWidget(widget)
|
||||
case "bar":
|
||||
panel = convertBarWidget(widget)
|
||||
case "value":
|
||||
panel = convertValueWidget(widget)
|
||||
case "pie":
|
||||
panel = convertPieWidget(widget)
|
||||
case "table":
|
||||
panel = convertTableWidget(widget)
|
||||
case "histogram":
|
||||
panel = convertHistogramWidget(widget)
|
||||
case "list":
|
||||
panel = convertListWidget(widget)
|
||||
default:
|
||||
// "row" (section header) is handled by the layout pass; unknown kinds skipped.
|
||||
continue
|
||||
}
|
||||
if panel == nil {
|
||||
continue
|
||||
}
|
||||
panels[id] = panel
|
||||
}
|
||||
return panels
|
||||
}
|
||||
|
||||
func convertGraphWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindTimeSeries,
|
||||
Spec: &TimeSeriesPanelSpec{
|
||||
Visualization: TimeSeriesVisualization{
|
||||
BasicVisualization: basicVisualization(w),
|
||||
FillSpans: valueAt[bool](w, "fillSpans"),
|
||||
},
|
||||
Formatting: panelFormatting(w),
|
||||
ChartAppearance: TimeSeriesChartAppearance{
|
||||
LineInterpolation: mapV1Enum(w["lineInterpolation"], LineInterpolationSpline,
|
||||
LineInterpolationLinear, LineInterpolationSpline, LineInterpolationStepAfter, LineInterpolationStepBefore),
|
||||
ShowPoints: valueAt[bool](w, "showPoints"),
|
||||
LineStyle: mapV1Enum(w["lineStyle"], LineStyleSolid, LineStyleSolid, LineStyleDashed),
|
||||
FillMode: mapV1Enum(w["fillMode"], FillModeSolid, FillModeSolid, FillModeGradient, FillModeNone),
|
||||
SpanGaps: mapV1SpanGaps(w["spanGaps"]),
|
||||
},
|
||||
Axes: axesFromWidget(w),
|
||||
Legend: legendFromWidget(w),
|
||||
Thresholds: mapV1ThresholdsWithLabel(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindTimeSeries),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertBarWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindBarChart,
|
||||
Spec: &BarChartPanelSpec{
|
||||
Visualization: BarChartVisualization{
|
||||
BasicVisualization: basicVisualization(w),
|
||||
FillSpans: valueAt[bool](w, "fillSpans"),
|
||||
StackedBarChart: valueAt[bool](w, "stackedBarChart"),
|
||||
},
|
||||
Formatting: panelFormatting(w),
|
||||
Axes: axesFromWidget(w),
|
||||
Legend: legendFromWidget(w),
|
||||
Thresholds: mapV1ThresholdsWithLabel(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindBarChart),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertValueWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindNumber,
|
||||
Spec: &NumberPanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: panelFormatting(w),
|
||||
Thresholds: mapV1ComparisonThresholds(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindNumber),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertPieWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindPieChart,
|
||||
Spec: &PieChartPanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: panelFormatting(w),
|
||||
Legend: legendFromWidget(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindPieChart),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertTableWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindTable,
|
||||
Spec: &TablePanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: TableFormatting{
|
||||
ColumnUnits: readStringMap(w["columnUnits"]),
|
||||
DecimalPrecision: mapV1Precision(w["decimalPrecision"]),
|
||||
},
|
||||
Thresholds: mapV1TableThresholds(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindTable),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertHistogramWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindHistogram,
|
||||
Spec: &HistogramPanelSpec{
|
||||
HistogramBuckets: HistogramBuckets{
|
||||
BucketCount: ptrValueAt[float64](w, "bucketCount"),
|
||||
BucketWidth: ptrValueAt[float64](w, "bucketWidth"),
|
||||
MergeAllActiveQueries: valueAt[bool](w, "mergeAllActiveQueries"),
|
||||
},
|
||||
Legend: legendFromWidget(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindHistogram),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertListWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindList,
|
||||
Spec: &ListPanelSpec{
|
||||
SelectFields: mapV1SelectFields(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindList),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Panel-spec shared helpers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func widgetDisplay(w map[string]any) Display {
|
||||
title, _ := w["title"].(string)
|
||||
description, _ := w["description"].(string)
|
||||
return Display{Name: title, Description: description}
|
||||
}
|
||||
|
||||
func basicVisualization(w map[string]any) BasicVisualization {
|
||||
return BasicVisualization{TimePreference: mapV1TimePreference(w["timePreferance"])}
|
||||
}
|
||||
|
||||
func panelFormatting(w map[string]any) PanelFormatting {
|
||||
unit, _ := w["yAxisUnit"].(string)
|
||||
return PanelFormatting{Unit: unit, DecimalPrecision: mapV1Precision(w["decimalPrecision"])}
|
||||
}
|
||||
|
||||
func axesFromWidget(w map[string]any) Axes {
|
||||
return Axes{
|
||||
SoftMin: ptrValueAt[float64](w, "softMin"),
|
||||
SoftMax: ptrValueAt[float64](w, "softMax"),
|
||||
IsLogScale: valueAt[bool](w, "isLogScale"),
|
||||
}
|
||||
}
|
||||
|
||||
func legendFromWidget(w map[string]any) Legend {
|
||||
return Legend{
|
||||
Position: mapV1Enum(w["legendPosition"], LegendPositionBottom, LegendPositionBottom, LegendPositionRight),
|
||||
CustomColors: readStringMap(w["customLegendColors"]),
|
||||
}
|
||||
}
|
||||
|
||||
func mapV1SelectFields(w map[string]any) []telemetrytypes.TelemetryFieldKey {
|
||||
if raw, ok := w["selectedLogFields"].([]any); ok && len(raw) > 0 {
|
||||
return decodeTelemetryFields(raw)
|
||||
}
|
||||
if raw, ok := w["selectedTracesFields"].([]any); ok && len(raw) > 0 {
|
||||
return decodeTelemetryFields(raw)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func decodeTelemetryFields(raw []any) []telemetrytypes.TelemetryFieldKey {
|
||||
bytes, err := json.Marshal(raw)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
var fields []telemetrytypes.TelemetryFieldKey
|
||||
if err := json.Unmarshal(bytes, &fields); err != nil {
|
||||
return nil
|
||||
}
|
||||
return fields
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Panel field mappers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// v1 stores timePreferance as `GLOBAL_TIME`, `LAST_5_MIN`, … (see
|
||||
// frontend/src/container/NewWidget/RightContainer/timeItems.ts). v2 uses the
|
||||
// lowercase form, so the translation is just downcase.
|
||||
func mapV1TimePreference(raw any) TimePreference {
|
||||
s, ok := raw.(string)
|
||||
if !ok || s == "" {
|
||||
return TimePreferenceGlobalTime
|
||||
}
|
||||
candidate := TimePreference{valuer.NewString(strings.ToLower(s))}
|
||||
for _, allowed := range candidate.Enum() {
|
||||
if allowed == candidate {
|
||||
return candidate
|
||||
}
|
||||
}
|
||||
return TimePreferenceGlobalTime
|
||||
}
|
||||
|
||||
func mapV1Precision(raw any) PrecisionOption {
|
||||
switch v := raw.(type) {
|
||||
case string:
|
||||
candidate := PrecisionOption{valuer.NewString(v)}
|
||||
for _, allowed := range candidate.Enum() {
|
||||
if allowed == candidate {
|
||||
return candidate
|
||||
}
|
||||
}
|
||||
case float64:
|
||||
n := int(v)
|
||||
if n >= 0 && n <= 4 {
|
||||
return PrecisionOption{valuer.NewString(strconv.Itoa(n))}
|
||||
}
|
||||
}
|
||||
return PrecisionOption2
|
||||
}
|
||||
|
||||
// mapV1Enum picks the v1 string value if it matches one of the allowed v2
|
||||
// values, otherwise returns the fallback. v1 frontend enums (lineInterpolation,
|
||||
// lineStyle, fillMode, legendPosition) already use the v2 lowercase form.
|
||||
func mapV1Enum[T interface{ StringValue() string }](raw any, fallback T, allowed ...T) T {
|
||||
s, ok := raw.(string)
|
||||
if !ok || s == "" {
|
||||
return fallback
|
||||
}
|
||||
for _, a := range allowed {
|
||||
if a.StringValue() == s {
|
||||
return a
|
||||
}
|
||||
}
|
||||
return fallback
|
||||
}
|
||||
|
||||
// v1 spanGaps is `boolean | number`. true → span every gap; false → never span;
|
||||
// a number is interpreted (per frontend SeriesProps.spanGaps docs) as an
|
||||
// X-axis threshold in seconds.
|
||||
func mapV1SpanGaps(raw any) SpanGaps {
|
||||
switch v := raw.(type) {
|
||||
case bool:
|
||||
if v {
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: true}
|
||||
case float64:
|
||||
dur, err := valuer.ParseTextDuration(time.Duration(v * float64(time.Second)).String())
|
||||
if err != nil {
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: true, FillLessThan: dur}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
|
||||
func mapV1ThresholdsWithLabel(raw any) []ThresholdWithLabel {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]ThresholdWithLabel, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
label, _ := t["thresholdLabel"].(string)
|
||||
if color == "" || label == "" {
|
||||
// v2 ThresholdWithLabel requires both; drop entries that wouldn't validate.
|
||||
continue
|
||||
}
|
||||
value, _ := t["thresholdValue"].(float64)
|
||||
unit, _ := t["thresholdUnit"].(string)
|
||||
out = append(out, ThresholdWithLabel{Value: value, Unit: unit, Color: color, Label: label})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1ComparisonThresholds(raw any) []ComparisonThreshold {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]ComparisonThreshold, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
if color == "" {
|
||||
continue
|
||||
}
|
||||
out = append(out, ComparisonThreshold{
|
||||
Value: valueAt[float64](t, "thresholdValue"),
|
||||
Operator: mapV1ComparisonOperator(t["thresholdOperator"]),
|
||||
Unit: valueAt[string](t, "thresholdUnit"),
|
||||
Color: color,
|
||||
Format: mapV1ThresholdFormat(t["thresholdFormat"]),
|
||||
})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1TableThresholds(raw any) []TableThreshold {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]TableThreshold, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
columnName, _ := t["thresholdTableOptions"].(string)
|
||||
if color == "" || columnName == "" {
|
||||
continue
|
||||
}
|
||||
out = append(out, TableThreshold{
|
||||
ComparisonThreshold: ComparisonThreshold{
|
||||
Value: valueAt[float64](t, "thresholdValue"),
|
||||
Operator: mapV1ComparisonOperator(t["thresholdOperator"]),
|
||||
Unit: valueAt[string](t, "thresholdUnit"),
|
||||
Color: color,
|
||||
Format: mapV1ThresholdFormat(t["thresholdFormat"]),
|
||||
},
|
||||
ColumnName: columnName,
|
||||
})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1ComparisonOperator(raw any) ComparisonOperator {
|
||||
s, _ := raw.(string)
|
||||
switch s {
|
||||
case ">":
|
||||
return ComparisonOperatorAbove
|
||||
case ">=":
|
||||
return ComparisonOperatorAboveOrEqual
|
||||
case "<":
|
||||
return ComparisonOperatorBelow
|
||||
case "<=":
|
||||
return ComparisonOperatorBelowOrEqual
|
||||
case "=":
|
||||
return ComparisonOperatorEqual
|
||||
case "!=":
|
||||
return ComparisonOperatorNotEqual
|
||||
}
|
||||
return ComparisonOperatorAbove
|
||||
}
|
||||
|
||||
func mapV1ThresholdFormat(raw any) ThresholdFormat {
|
||||
s, _ := raw.(string)
|
||||
switch strings.ToLower(s) {
|
||||
case "background":
|
||||
return ThresholdFormatBackground
|
||||
case "text":
|
||||
return ThresholdFormatText
|
||||
}
|
||||
return ThresholdFormatText
|
||||
}
|
||||
249
pkg/types/dashboardtypes/perses_v1_to_v2_queries.go
Normal file
249
pkg/types/dashboardtypes/perses_v1_to_v2_queries.go
Normal file
@@ -0,0 +1,249 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/transition"
|
||||
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Queries
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1WidgetQuery returns exactly one Query (per Spec.Validate). The
|
||||
// kind chosen depends on the v1 widget query shape:
|
||||
// - single promql → signoz/PromQLQuery
|
||||
// - single clickhouse_sql → signoz/ClickHouseSQL
|
||||
// - exactly one builder query → signoz/BuilderQuery (PanelKindList only)
|
||||
// - everything else → signoz/CompositeQuery wrapping all envelopes
|
||||
//
|
||||
// Builder queries are routed through transition.WrapInV5Envelope, which
|
||||
// translates v4 builder-field names (orderBy/selectColumns/dataSource) into
|
||||
// their v5 equivalents and adds the `signal` field required by
|
||||
// BuilderQuerySpec's per-signal dispatch.
|
||||
func convertV1WidgetQuery(widget map[string]any, panelKind PanelPluginKind) []Query {
|
||||
envelopes, signal := collectV1QueryEnvelopes(widget)
|
||||
if len(envelopes) == 0 {
|
||||
return nil
|
||||
}
|
||||
requestType := requestTypeForPanel(panelKind)
|
||||
|
||||
// List panels must use signoz/BuilderQuery (the only kind in
|
||||
// allowedQueryKinds[PanelKindList]).
|
||||
if panelKind == PanelKindList {
|
||||
first := envelopes[0]
|
||||
if t, _ := first["type"].(string); t == string(qb.QueryTypeBuilder.StringValue()) {
|
||||
spec := parseBuilderQuerySpec(first["spec"], signal)
|
||||
if spec == nil {
|
||||
return nil
|
||||
}
|
||||
return []Query{{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: valueAt[string](first["spec"], "name"),
|
||||
Plugin: QueryPlugin{
|
||||
Kind: QueryKindBuilder,
|
||||
Spec: &BuilderQuerySpec{Spec: spec},
|
||||
},
|
||||
},
|
||||
}}
|
||||
}
|
||||
}
|
||||
|
||||
// Single non-builder query → use its native kind directly. Cleaner JSON
|
||||
// than wrapping in CompositeQuery for the common single-query case.
|
||||
if len(envelopes) == 1 {
|
||||
if q := singleQueryFromEnvelope(envelopes[0], requestType); q != nil {
|
||||
return []Query{*q}
|
||||
}
|
||||
}
|
||||
|
||||
// Default: wrap in CompositeQuery.
|
||||
composite, err := parseCompositeFromEnvelopes(envelopes)
|
||||
if err != nil || composite == nil {
|
||||
return nil
|
||||
}
|
||||
return []Query{{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Plugin: QueryPlugin{Kind: QueryKindComposite, Spec: composite},
|
||||
},
|
||||
}}
|
||||
}
|
||||
|
||||
// requestTypeForPanel maps a v2 panel plugin kind to the request type (result
|
||||
// shape) its queries produce. Mirrors the shape each visualization consumes:
|
||||
// time series for line/bar, scalar for number/pie/table, distribution for
|
||||
// histogram, raw rows for list.
|
||||
func requestTypeForPanel(panelKind PanelPluginKind) qb.RequestType {
|
||||
switch panelKind {
|
||||
case PanelKindTimeSeries, PanelKindBarChart:
|
||||
return qb.RequestTypeTimeSeries
|
||||
case PanelKindNumber, PanelKindPieChart, PanelKindTable:
|
||||
return qb.RequestTypeScalar
|
||||
case PanelKindHistogram:
|
||||
return qb.RequestTypeDistribution
|
||||
case PanelKindList:
|
||||
return qb.RequestTypeRaw
|
||||
}
|
||||
return qb.RequestTypeTimeSeries
|
||||
}
|
||||
|
||||
// collectV1QueryEnvelopes inspects widget.query.queryType and produces a
|
||||
// flattened list of v5-shaped envelopes. The returned signal is the dominant
|
||||
// builder signal (if any), used for typed builder-query dispatch.
|
||||
func collectV1QueryEnvelopes(widget map[string]any) ([]map[string]any, telemetrytypes.Signal) {
|
||||
queryMap, ok := widget["query"].(map[string]any)
|
||||
if !ok {
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
queryType, _ := queryMap["queryType"].(string)
|
||||
|
||||
switch queryType {
|
||||
case "promql":
|
||||
var out []map[string]any
|
||||
for _, q := range readSliceOfMaps(queryMap["promql"]) {
|
||||
out = append(out, promQLEnvelope(q))
|
||||
}
|
||||
return out, telemetrytypes.Signal{}
|
||||
|
||||
case "clickhouse_sql":
|
||||
var out []map[string]any
|
||||
for _, q := range readSliceOfMaps(queryMap["clickhouse_sql"]) {
|
||||
out = append(out, clickhouseEnvelope(q))
|
||||
}
|
||||
return out, telemetrytypes.Signal{}
|
||||
|
||||
case "builder":
|
||||
builder, _ := queryMap["builder"].(map[string]any)
|
||||
if builder == nil {
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
var out []map[string]any
|
||||
var signal telemetrytypes.Signal
|
||||
wrap := transition.NewMigrateCommon(nil)
|
||||
for _, q := range readSliceOfMaps(builder["queryData"]) {
|
||||
name := valueAt[string](q, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, q, string(qb.QueryTypeBuilder.StringValue())))
|
||||
if signal.IsZero() {
|
||||
signal = signalFromDataSource(q["dataSource"])
|
||||
}
|
||||
}
|
||||
for _, f := range readSliceOfMaps(builder["queryFormulas"]) {
|
||||
name := valueAt[string](f, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, f, string(qb.QueryTypeFormula.StringValue())))
|
||||
}
|
||||
for _, op := range readSliceOfMaps(builder["queryTraceOperator"]) {
|
||||
name := valueAt[string](op, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, op, string(qb.QueryTypeTraceOperator.StringValue())))
|
||||
}
|
||||
return out, signal
|
||||
}
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
|
||||
func promQLEnvelope(q map[string]any) map[string]any {
|
||||
return map[string]any{
|
||||
"type": qb.QueryTypePromQL.StringValue(),
|
||||
"spec": map[string]any{
|
||||
"name": q["name"],
|
||||
"query": q["query"],
|
||||
"disabled": q["disabled"],
|
||||
"legend": q["legend"],
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func clickhouseEnvelope(q map[string]any) map[string]any {
|
||||
return map[string]any{
|
||||
"type": qb.QueryTypeClickHouseSQL.StringValue(),
|
||||
"spec": map[string]any{
|
||||
"name": q["name"],
|
||||
"query": q["query"],
|
||||
"disabled": q["disabled"],
|
||||
"legend": q["legend"],
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// singleQueryFromEnvelope returns a typed Query for an envelope whose type is
|
||||
// promql/clickhouse_sql. Builder envelopes always fall through to Composite so
|
||||
// composite-only panel kinds (TimeSeries/BarChart/etc.) get uniform queries.
|
||||
func singleQueryFromEnvelope(envelope map[string]any, requestType qb.RequestType) *Query {
|
||||
t, _ := envelope["type"].(string)
|
||||
spec, _ := envelope["spec"].(map[string]any)
|
||||
switch t {
|
||||
case qb.QueryTypePromQL.StringValue():
|
||||
prom, err := decodeMapInto[qb.PromQuery](spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return &Query{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: prom.Name,
|
||||
Plugin: QueryPlugin{Kind: QueryKindPromQL, Spec: &prom},
|
||||
},
|
||||
}
|
||||
case qb.QueryTypeClickHouseSQL.StringValue():
|
||||
ch, err := decodeMapInto[qb.ClickHouseQuery](spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return &Query{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: ch.Name,
|
||||
Plugin: QueryPlugin{Kind: QueryKindClickHouseSQL, Spec: &ch},
|
||||
},
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func parseCompositeFromEnvelopes(envelopes []map[string]any) (*CompositeQuerySpec, error) {
|
||||
bytes, err := json.Marshal(envelopes)
|
||||
if err != nil {
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "marshal v1 query envelopes")
|
||||
}
|
||||
var parsed []qb.QueryEnvelope
|
||||
if err := json.Unmarshal(bytes, &parsed); err != nil {
|
||||
return nil, errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidWidgetQuery, "decode v5 query envelopes")
|
||||
}
|
||||
return &CompositeQuerySpec{Queries: parsed}, nil
|
||||
}
|
||||
|
||||
func parseBuilderQuerySpec(rawSpec any, signal telemetrytypes.Signal) any {
|
||||
spec, ok := rawSpec.(map[string]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
if !signal.IsZero() {
|
||||
spec["signal"] = signal.StringValue()
|
||||
}
|
||||
bytes, err := json.Marshal(spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
parsed, err := qb.UnmarshalBuilderQueryBySignal(bytes)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return parsed
|
||||
}
|
||||
|
||||
func signalFromDataSource(raw any) telemetrytypes.Signal {
|
||||
s, _ := raw.(string)
|
||||
switch s {
|
||||
case "traces":
|
||||
return telemetrytypes.SignalTraces
|
||||
case "logs":
|
||||
return telemetrytypes.SignalLogs
|
||||
case "metrics":
|
||||
return telemetrytypes.SignalMetrics
|
||||
}
|
||||
return telemetrytypes.Signal{}
|
||||
}
|
||||
110
pkg/types/dashboardtypes/perses_v1_to_v2_tags.go
Normal file
110
pkg/types/dashboardtypes/perses_v1_to_v2_tags.go
Normal file
@@ -0,0 +1,110 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/coretypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/tagtypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Tags
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// v1 carries tags as a flat []string; v2 tags are (key, value) pairs. Each v1
|
||||
// string is normalized into a pair following the rules in pkg/types/migration.md
|
||||
// (separator split, empty-side fallback, reserved-key prefix, `/` scrub). Tags
|
||||
// that normalize to the same (lower(key), lower(value)) within a dashboard are
|
||||
// collapsed, first occurrence winning the display casing.
|
||||
//
|
||||
// Characters still illegal after normalization (e.g. spaces) are left intact:
|
||||
// such tags fail tag validation downstream and are logged for the customer to
|
||||
// fix, per the migration's dry-run plan.
|
||||
|
||||
// defaultV1TagKey is the key assigned when a v1 tag string has no usable
|
||||
// separator (or one side of the split is empty).
|
||||
const defaultV1TagKey = "tag"
|
||||
|
||||
func convertV1TagsForOrg(orgID valuer.UUID, raw any) []*tagtypes.Tag {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
seen := make(map[string]struct{}, len(rawSlice))
|
||||
out := make([]*tagtypes.Tag, 0, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
s, ok := item.(string)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
key, value, ok := normalizeV1Tag(s)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
dedupKey := strings.ToLower(key) + "\x00" + strings.ToLower(value)
|
||||
if _, dup := seen[dedupKey]; dup {
|
||||
continue
|
||||
}
|
||||
seen[dedupKey] = struct{}{}
|
||||
out = append(out, tagtypes.NewTag(orgID, coretypes.KindDashboard, key, value))
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// normalizeV1Tag derives a (key, value) pair from one v1 tag string per the
|
||||
// ordered rules in pkg/types/migration.md. ok is false when the string has no
|
||||
// usable content (empty after trimming, or a bare separator).
|
||||
func normalizeV1Tag(s string) (string, string, bool) {
|
||||
s = strings.TrimSpace(s)
|
||||
if s == "" {
|
||||
return "", "", false
|
||||
}
|
||||
|
||||
var key, value string
|
||||
var ok bool
|
||||
switch {
|
||||
case strings.Contains(s, ":"):
|
||||
key, value, ok = splitV1Tag(s, ":")
|
||||
// Only the first ":" separates key from value; collapse the rest.
|
||||
value = strings.ReplaceAll(value, ":", "_")
|
||||
case strings.Contains(s, "/"):
|
||||
key, value, ok = splitV1Tag(s, "/")
|
||||
default:
|
||||
key, value, ok = defaultV1TagKey, s, true
|
||||
}
|
||||
if !ok {
|
||||
return "", "", false
|
||||
}
|
||||
|
||||
// Reserved-key collision: prefix with "_" so the list-query DSL stays
|
||||
// unambiguous. Matched case-insensitively against the DSL column names.
|
||||
if _, reserved := reservedDSLKeys[DSLKey(strings.ToLower(key))]; reserved {
|
||||
key = "_" + key
|
||||
}
|
||||
|
||||
// Stored tags must never contain "/" (input validation forbids it).
|
||||
key = strings.ReplaceAll(key, "/", "_")
|
||||
value = strings.ReplaceAll(value, "/", "_")
|
||||
|
||||
return key, value, true
|
||||
}
|
||||
|
||||
// splitV1Tag splits s at the first occurrence of sep, trimming each side. An
|
||||
// empty side collapses to the default key with the non-empty side as the value;
|
||||
// if both sides are empty (a bare separator) ok is false.
|
||||
func splitV1Tag(s, sep string) (string, string, bool) {
|
||||
left, right, _ := strings.Cut(s, sep)
|
||||
left = strings.TrimSpace(left)
|
||||
right = strings.TrimSpace(right)
|
||||
switch {
|
||||
case left == "" && right == "":
|
||||
return "", "", false
|
||||
case left == "":
|
||||
return defaultV1TagKey, right, true
|
||||
case right == "":
|
||||
return defaultV1TagKey, left, true
|
||||
default:
|
||||
return left, right, true
|
||||
}
|
||||
}
|
||||
766
pkg/types/dashboardtypes/perses_v1_to_v2_test.go
Normal file
766
pkg/types/dashboardtypes/perses_v1_to_v2_test.go
Normal file
@@ -0,0 +1,766 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types"
|
||||
"github.com/SigNoz/signoz/pkg/types/coretypes"
|
||||
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
"github.com/perses/spec/go/dashboard/variable"
|
||||
"github.com/stretchr/testify/assert"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
func TestConvertV1TagsForOrg(t *testing.T) {
|
||||
orgID := valuer.GenerateUUID()
|
||||
|
||||
type kv struct{ key, value string }
|
||||
|
||||
cases := []struct {
|
||||
scenario string
|
||||
rawTags any
|
||||
expectedTags []kv
|
||||
}{
|
||||
{
|
||||
scenario: "no separator uses the default key",
|
||||
rawTags: []any{"apm", "latency", "throughput"},
|
||||
expectedTags: []kv{{"tag", "apm"}, {"tag", "latency"}, {"tag", "throughput"}},
|
||||
},
|
||||
{
|
||||
scenario: "colon splits into key and value",
|
||||
rawTags: []any{"env:prod", "team : backend"},
|
||||
expectedTags: []kv{{"env", "prod"}, {"team", "backend"}},
|
||||
},
|
||||
{
|
||||
scenario: "slash splits into key and value when no colon present",
|
||||
rawTags: []any{"team/backend"},
|
||||
expectedTags: []kv{{"team", "backend"}},
|
||||
},
|
||||
{
|
||||
scenario: "colon takes precedence over slash and slash is scrubbed",
|
||||
rawTags: []any{"team/eng:prod", "team/eng:my/path"},
|
||||
expectedTags: []kv{{"team_eng", "prod"}, {"team_eng", "my_path"}},
|
||||
},
|
||||
{
|
||||
scenario: "empty left side falls back to the default key",
|
||||
rawTags: []any{":prod"},
|
||||
expectedTags: []kv{{"tag", "prod"}},
|
||||
},
|
||||
{
|
||||
scenario: "empty right side keeps the left side as the value",
|
||||
rawTags: []any{"env:"},
|
||||
expectedTags: []kv{{"tag", "env"}},
|
||||
},
|
||||
{
|
||||
scenario: "extra colons in the value collapse to underscores",
|
||||
rawTags: []any{"a:b:c"},
|
||||
expectedTags: []kv{{"a", "b_c"}},
|
||||
},
|
||||
{
|
||||
scenario: "extra slashes in the value are scrubbed",
|
||||
rawTags: []any{"a/b/c"},
|
||||
expectedTags: []kv{{"a", "b_c"}},
|
||||
},
|
||||
{
|
||||
scenario: "reserved key gets an underscore prefix",
|
||||
rawTags: []any{"name:foo", "Source:bar"},
|
||||
expectedTags: []kv{{"_name", "foo"}, {"_Source", "bar"}},
|
||||
},
|
||||
{
|
||||
scenario: "drops empty, whitespace-only, and bare-separator entries",
|
||||
rawTags: []any{"", " ", ":", "/", "apm"},
|
||||
expectedTags: []kv{{"tag", "apm"}},
|
||||
},
|
||||
{
|
||||
scenario: "dedupes case-insensitive duplicates, first casing wins",
|
||||
rawTags: []any{"Env:Prod", "env:PROD"},
|
||||
expectedTags: []kv{{"Env", "Prod"}},
|
||||
},
|
||||
{
|
||||
scenario: "returns nil for missing tags field",
|
||||
rawTags: nil,
|
||||
expectedTags: nil,
|
||||
},
|
||||
{
|
||||
scenario: "ignores non-string elements",
|
||||
rawTags: []any{"apm", 42, true, "logs"},
|
||||
expectedTags: []kv{{"tag", "apm"}, {"tag", "logs"}},
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.scenario, func(t *testing.T) {
|
||||
tags := convertV1TagsForOrg(orgID, tc.rawTags)
|
||||
require.Len(t, tags, len(tc.expectedTags))
|
||||
for i, expected := range tc.expectedTags {
|
||||
assert.Equal(t, expected.key, tags[i].Key)
|
||||
assert.Equal(t, expected.value, tags[i].Value)
|
||||
assert.Equal(t, orgID, tags[i].OrgID)
|
||||
assert.Equal(t, coretypes.KindDashboard, tags[i].Kind)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestConvertGraphWidgetToTimeSeriesPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "widget-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "Request rate",
|
||||
"description": "RPS over time",
|
||||
"timePreferance": "LAST_1_HR",
|
||||
"fillSpans": true,
|
||||
"yAxisUnit": "reqps",
|
||||
"decimalPrecision": float64(3),
|
||||
"lineInterpolation": "linear",
|
||||
"lineStyle": "dashed",
|
||||
"fillMode": "gradient",
|
||||
"showPoints": true,
|
||||
"spanGaps": float64(60),
|
||||
"softMin": float64(0),
|
||||
"softMax": float64(100),
|
||||
"isLogScale": true,
|
||||
"legendPosition": "right",
|
||||
"customLegendColors": map[string]any{"A": "#ff0000", "B": "#00ff00"},
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(90),
|
||||
"thresholdUnit": "reqps",
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdLabel": "high",
|
||||
},
|
||||
map[string]any{
|
||||
"thresholdValue": float64(50),
|
||||
"thresholdColor": "", // missing — must be dropped
|
||||
"thresholdLabel": "missing-color",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertGraphWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
|
||||
assert.Equal(t, PanelKindPanel, panel.Kind)
|
||||
assert.Equal(t, "Request rate", panel.Spec.Display.Name)
|
||||
assert.Equal(t, "RPS over time", panel.Spec.Display.Description)
|
||||
|
||||
assert.Equal(t, PanelKindTimeSeries, panel.Spec.Plugin.Kind)
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TimeSeriesPanelSpec)
|
||||
require.True(t, ok, "panel plugin spec should be *TimeSeriesPanelSpec")
|
||||
|
||||
assert.Equal(t, TimePreferenceLast1Hr, spec.Visualization.TimePreference)
|
||||
assert.True(t, spec.Visualization.FillSpans)
|
||||
|
||||
assert.Equal(t, "reqps", spec.Formatting.Unit)
|
||||
assert.Equal(t, PrecisionOption3, spec.Formatting.DecimalPrecision)
|
||||
|
||||
assert.Equal(t, LineInterpolationLinear, spec.ChartAppearance.LineInterpolation)
|
||||
assert.True(t, spec.ChartAppearance.ShowPoints)
|
||||
assert.Equal(t, LineStyleDashed, spec.ChartAppearance.LineStyle)
|
||||
assert.Equal(t, FillModeGradient, spec.ChartAppearance.FillMode)
|
||||
assert.True(t, spec.ChartAppearance.SpanGaps.FillOnlyBelow)
|
||||
assert.Equal(t, "1m0s", spec.ChartAppearance.SpanGaps.FillLessThan.StringValue())
|
||||
|
||||
require.NotNil(t, spec.Axes.SoftMin)
|
||||
assert.Equal(t, float64(0), *spec.Axes.SoftMin)
|
||||
require.NotNil(t, spec.Axes.SoftMax)
|
||||
assert.Equal(t, float64(100), *spec.Axes.SoftMax)
|
||||
assert.True(t, spec.Axes.IsLogScale)
|
||||
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
assert.Equal(t, map[string]string{"A": "#ff0000", "B": "#00ff00"}, spec.Legend.CustomColors)
|
||||
|
||||
require.Len(t, spec.Thresholds, 1, "threshold with missing color should be dropped")
|
||||
assert.Equal(t, ThresholdWithLabel{Value: 90, Unit: "reqps", Color: "#ff0000", Label: "high"}, spec.Thresholds[0])
|
||||
}
|
||||
|
||||
func TestConvertGraphWidgetDefaultsForMissingFields(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "widget-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "minimal",
|
||||
}
|
||||
|
||||
panel := convertGraphWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TimeSeriesPanelSpec)
|
||||
require.True(t, ok)
|
||||
|
||||
assert.Equal(t, TimePreferenceGlobalTime, spec.Visualization.TimePreference)
|
||||
assert.Equal(t, PrecisionOption2, spec.Formatting.DecimalPrecision)
|
||||
assert.Equal(t, LineInterpolationSpline, spec.ChartAppearance.LineInterpolation)
|
||||
assert.Equal(t, LineStyleSolid, spec.ChartAppearance.LineStyle)
|
||||
assert.Equal(t, FillModeSolid, spec.ChartAppearance.FillMode)
|
||||
assert.Equal(t, LegendPositionBottom, spec.Legend.Position)
|
||||
assert.False(t, spec.ChartAppearance.SpanGaps.FillOnlyBelow)
|
||||
assert.Nil(t, spec.Axes.SoftMin)
|
||||
assert.Nil(t, spec.Axes.SoftMax)
|
||||
assert.Empty(t, spec.Thresholds)
|
||||
}
|
||||
|
||||
func TestConvertV1ToV2HappyPath(t *testing.T) {
|
||||
orgID := valuer.GenerateUUID()
|
||||
storable := &StorableDashboard{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
TimeAuditable: types.TimeAuditable{CreatedAt: time.Now(), UpdatedAt: time.Now()},
|
||||
UserAuditable: types.UserAuditable{CreatedBy: "alice", UpdatedBy: "bob"},
|
||||
OrgID: orgID,
|
||||
Source: SourceUser,
|
||||
Name: "apm-metrics",
|
||||
Data: StorableDashboardData{
|
||||
"title": "APM Metrics",
|
||||
"description": "service overview",
|
||||
"image": "data:image/png;base64,abc",
|
||||
"tags": []any{"apm", "team:platform"},
|
||||
"widgets": []any{
|
||||
// section header — owned by the layout pass, not a panel
|
||||
map[string]any{"id": "row-1", "panelTypes": "row", "title": "Overview"},
|
||||
// graph widget → TimeSeries panel
|
||||
map[string]any{
|
||||
"id": "panel-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "Latency",
|
||||
},
|
||||
// table widget → Table panel
|
||||
map[string]any{"id": "panel-2", "panelTypes": "table"},
|
||||
// widget with missing id — dropped
|
||||
map[string]any{"panelTypes": "graph", "title": "no id"},
|
||||
// unknown panel kind — silently dropped
|
||||
map[string]any{"id": "panel-3", "panelTypes": "totally-new"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
dashboard, err := storable.ConvertV1ToV2()
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, dashboard)
|
||||
|
||||
assert.Equal(t, storable.ID, dashboard.ID)
|
||||
assert.Equal(t, storable.OrgID, dashboard.OrgID)
|
||||
assert.Equal(t, storable.Source, dashboard.Source)
|
||||
assert.Equal(t, storable.Name, dashboard.Name)
|
||||
assert.Equal(t, SchemaVersion, dashboard.SchemaVersion)
|
||||
assert.Equal(t, "data:image/png;base64,abc", dashboard.Image)
|
||||
|
||||
assert.Equal(t, "APM Metrics", dashboard.Spec.Display.Name)
|
||||
assert.Equal(t, "service overview", dashboard.Spec.Display.Description)
|
||||
|
||||
require.Len(t, dashboard.Tags, 2)
|
||||
assert.Equal(t, "tag", dashboard.Tags[0].Key)
|
||||
assert.Equal(t, "apm", dashboard.Tags[0].Value)
|
||||
assert.Equal(t, "team", dashboard.Tags[1].Key)
|
||||
assert.Equal(t, "platform", dashboard.Tags[1].Value)
|
||||
|
||||
require.Len(t, dashboard.Spec.Panels, 2, "graph and table map; row, no-id, and unknown kinds are dropped")
|
||||
require.Contains(t, dashboard.Spec.Panels, "panel-1")
|
||||
require.Contains(t, dashboard.Spec.Panels, "panel-2")
|
||||
assert.Equal(t, PanelKindTimeSeries, dashboard.Spec.Panels["panel-1"].Spec.Plugin.Kind)
|
||||
assert.Equal(t, PanelKindTable, dashboard.Spec.Panels["panel-2"].Spec.Plugin.Kind)
|
||||
}
|
||||
|
||||
func TestConvertV1ToV2RejectsAlreadyV2(t *testing.T) {
|
||||
storable := &StorableDashboard{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
OrgID: valuer.GenerateUUID(),
|
||||
Source: SourceUser,
|
||||
Name: "already-v2",
|
||||
Data: StorableDashboardData{
|
||||
"metadata": map[string]any{"schemaVersion": SchemaVersion},
|
||||
"spec": map[string]any{},
|
||||
},
|
||||
}
|
||||
|
||||
dashboard, err := storable.ConvertV1ToV2()
|
||||
assert.Nil(t, dashboard)
|
||||
require.Error(t, err)
|
||||
assert.Contains(t, err.Error(), "already in")
|
||||
}
|
||||
|
||||
func TestSpanGapsMapping(t *testing.T) {
|
||||
cases := []struct {
|
||||
scenario string
|
||||
rawSpanGaps any
|
||||
expectedFillOnlyBelow bool
|
||||
expectedFillLessThan string
|
||||
}{
|
||||
{scenario: "true spans every gap", rawSpanGaps: true, expectedFillOnlyBelow: false, expectedFillLessThan: "0s"},
|
||||
{scenario: "false spans no gaps", rawSpanGaps: false, expectedFillOnlyBelow: true, expectedFillLessThan: "0s"},
|
||||
{scenario: "number is seconds threshold", rawSpanGaps: float64(30), expectedFillOnlyBelow: true, expectedFillLessThan: "30s"},
|
||||
{scenario: "missing defaults to span all", rawSpanGaps: nil, expectedFillOnlyBelow: false, expectedFillLessThan: "0s"},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.scenario, func(t *testing.T) {
|
||||
got := mapV1SpanGaps(tc.rawSpanGaps)
|
||||
assert.Equal(t, tc.expectedFillOnlyBelow, got.FillOnlyBelow)
|
||||
assert.Equal(t, tc.expectedFillLessThan, got.FillLessThan.StringValue())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Other panel-kind converters
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertBarWidgetToBarChartPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "bar-1",
|
||||
"panelTypes": "bar",
|
||||
"title": "Requests by status",
|
||||
"fillSpans": true,
|
||||
"stackedBarChart": true,
|
||||
"yAxisUnit": "reqps",
|
||||
"softMin": float64(0),
|
||||
"isLogScale": true,
|
||||
"legendPosition": "right",
|
||||
}
|
||||
|
||||
panel := convertBarWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindBarChart, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*BarChartPanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.True(t, spec.Visualization.FillSpans)
|
||||
assert.True(t, spec.Visualization.StackedBarChart)
|
||||
assert.Equal(t, "reqps", spec.Formatting.Unit)
|
||||
require.NotNil(t, spec.Axes.SoftMin)
|
||||
assert.Equal(t, float64(0), *spec.Axes.SoftMin)
|
||||
assert.True(t, spec.Axes.IsLogScale)
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
}
|
||||
|
||||
func TestConvertValueWidgetToNumberPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "val-1",
|
||||
"panelTypes": "value",
|
||||
"title": "Active services",
|
||||
"yAxisUnit": "count",
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(100),
|
||||
"thresholdOperator": ">=",
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdFormat": "Background",
|
||||
"thresholdUnit": "count",
|
||||
},
|
||||
map[string]any{
|
||||
// missing color — must be dropped
|
||||
"thresholdValue": float64(10),
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertValueWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindNumber, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*NumberPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.Thresholds, 1)
|
||||
assert.Equal(t, float64(100), spec.Thresholds[0].Value)
|
||||
assert.Equal(t, ComparisonOperatorAboveOrEqual, spec.Thresholds[0].Operator)
|
||||
assert.Equal(t, "#ff0000", spec.Thresholds[0].Color)
|
||||
assert.Equal(t, ThresholdFormatBackground, spec.Thresholds[0].Format)
|
||||
}
|
||||
|
||||
func TestConvertTableWidgetToTablePanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "tbl-1",
|
||||
"panelTypes": "table",
|
||||
"title": "Top services",
|
||||
"columnUnits": map[string]any{
|
||||
"latency": "ms",
|
||||
"errors": "count",
|
||||
},
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(500),
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdTableOptions": "latency",
|
||||
"thresholdOperator": ">",
|
||||
},
|
||||
map[string]any{
|
||||
// missing columnName — dropped
|
||||
"thresholdValue": float64(1),
|
||||
"thresholdColor": "#00ff00",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertTableWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindTable, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TablePanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "ms", spec.Formatting.ColumnUnits["latency"])
|
||||
assert.Equal(t, "count", spec.Formatting.ColumnUnits["errors"])
|
||||
require.Len(t, spec.Thresholds, 1)
|
||||
assert.Equal(t, "latency", spec.Thresholds[0].ColumnName)
|
||||
assert.Equal(t, ComparisonOperatorAbove, spec.Thresholds[0].Operator)
|
||||
}
|
||||
|
||||
func TestConvertPieWidgetToPieChartPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "pie-1",
|
||||
"panelTypes": "pie",
|
||||
"title": "Share",
|
||||
"legendPosition": "right",
|
||||
}
|
||||
|
||||
panel := convertPieWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindPieChart, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*PieChartPanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
}
|
||||
|
||||
func TestConvertHistogramWidget(t *testing.T) {
|
||||
bucketCount := float64(20)
|
||||
widget := map[string]any{
|
||||
"id": "hist-1",
|
||||
"panelTypes": "histogram",
|
||||
"title": "Latency distribution",
|
||||
"bucketCount": bucketCount,
|
||||
"mergeAllActiveQueries": true,
|
||||
}
|
||||
|
||||
panel := convertHistogramWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindHistogram, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*HistogramPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.NotNil(t, spec.HistogramBuckets.BucketCount)
|
||||
assert.Equal(t, bucketCount, *spec.HistogramBuckets.BucketCount)
|
||||
assert.Nil(t, spec.HistogramBuckets.BucketWidth)
|
||||
assert.True(t, spec.HistogramBuckets.MergeAllActiveQueries)
|
||||
}
|
||||
|
||||
func TestConvertListWidget(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "list-1",
|
||||
"panelTypes": "list",
|
||||
"title": "Recent logs",
|
||||
"selectedLogFields": []any{
|
||||
map[string]any{"name": "body", "fieldDataType": "string", "fieldContext": "log"},
|
||||
map[string]any{"name": "severity_text", "fieldDataType": "string", "fieldContext": "log"},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertListWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindList, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*ListPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.SelectFields, 2)
|
||||
assert.Equal(t, "body", spec.SelectFields[0].Name)
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Query translation
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1WidgetQuerySinglePromQL(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "p-1",
|
||||
"panelTypes": "graph",
|
||||
"query": map[string]any{
|
||||
"queryType": "promql",
|
||||
"promql": []any{
|
||||
map[string]any{"name": "A", "query": "up", "legend": "{{job}}"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeTimeSeries, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindPromQL, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
prom, ok := queries[0].Spec.Plugin.Spec.(*qb.PromQuery)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "A", prom.Name)
|
||||
assert.Equal(t, "up", prom.Query)
|
||||
assert.Equal(t, "{{job}}", prom.Legend)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQuerySingleClickHouse(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "c-1",
|
||||
"panelTypes": "table",
|
||||
"query": map[string]any{
|
||||
"queryType": "clickhouse_sql",
|
||||
"clickhouse_sql": []any{
|
||||
map[string]any{"name": "Q", "query": "SELECT 1", "legend": "x"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTable)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeScalar, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindClickHouseSQL, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
ch, ok := queries[0].Spec.Plugin.Spec.(*qb.ClickHouseQuery)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "Q", ch.Name)
|
||||
assert.Equal(t, "SELECT 1", ch.Query)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryMultipleBuilderWrapsInComposite(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "b-1",
|
||||
"panelTypes": "graph",
|
||||
"query": map[string]any{
|
||||
"queryType": "builder",
|
||||
"builder": map[string]any{
|
||||
"queryData": []any{
|
||||
map[string]any{
|
||||
"queryName": "A",
|
||||
"expression": "A",
|
||||
"dataSource": "metrics",
|
||||
"aggregations": []any{map[string]any{"metricName": "signoz_calls_total"}},
|
||||
},
|
||||
map[string]any{
|
||||
"queryName": "B",
|
||||
"expression": "B",
|
||||
"dataSource": "logs",
|
||||
"aggregations": []any{map[string]any{"expression": "count()"}},
|
||||
},
|
||||
},
|
||||
"queryFormulas": []any{
|
||||
map[string]any{"queryName": "F1", "expression": "A + B"},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeTimeSeries, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindComposite, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
composite, ok := queries[0].Spec.Plugin.Spec.(*CompositeQuerySpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, composite.Queries, 3)
|
||||
assert.Equal(t, qb.QueryTypeBuilder, composite.Queries[0].Type)
|
||||
assert.Equal(t, qb.QueryTypeBuilder, composite.Queries[1].Type)
|
||||
assert.Equal(t, qb.QueryTypeFormula, composite.Queries[2].Type)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryListPanelUsesBuilderDirectly(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "l-1",
|
||||
"panelTypes": "list",
|
||||
"query": map[string]any{
|
||||
"queryType": "builder",
|
||||
"builder": map[string]any{
|
||||
"queryData": []any{
|
||||
map[string]any{
|
||||
"queryName": "A",
|
||||
"expression": "A",
|
||||
"dataSource": "logs",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindList)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeRaw, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindBuilder, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
wrapper, ok := queries[0].Spec.Plugin.Spec.(*BuilderQuerySpec)
|
||||
require.True(t, ok)
|
||||
spec, ok := wrapper.Spec.(qb.QueryBuilderQuery[qb.LogAggregation])
|
||||
require.True(t, ok, "list builder query should dispatch to LogAggregation, got %T", wrapper.Spec)
|
||||
assert.Equal(t, "A", spec.Name)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryNoQuery(t *testing.T) {
|
||||
widget := map[string]any{"id": "x", "panelTypes": "graph"}
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
assert.Nil(t, queries)
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Layouts and sections
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1LayoutsRootOnly(t *testing.T) {
|
||||
data := StorableDashboardData{
|
||||
"layout": []any{
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(0), "w": float64(6), "h": float64(6)},
|
||||
map[string]any{"i": "p-2", "x": float64(6), "y": float64(0), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
"widgets": []any{
|
||||
map[string]any{"id": "p-1", "panelTypes": "graph"},
|
||||
map[string]any{"id": "p-2", "panelTypes": "graph"},
|
||||
},
|
||||
}
|
||||
|
||||
layouts := convertV1Layouts(data)
|
||||
require.Len(t, layouts, 1)
|
||||
assert.Equal(t, dashboard.KindGridLayout, layouts[0].Kind)
|
||||
|
||||
spec, ok := layouts[0].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.Items, 2)
|
||||
assert.Equal(t, "#/spec/panels/p-1", spec.Items[0].Content.Ref)
|
||||
assert.Equal(t, 6, spec.Items[1].Width)
|
||||
assert.Nil(t, spec.Display, "root-only grid should have no display block")
|
||||
}
|
||||
|
||||
func TestConvertV1LayoutsWithCollapsedSection(t *testing.T) {
|
||||
data := StorableDashboardData{
|
||||
"widgets": []any{
|
||||
map[string]any{"id": "row-1", "panelTypes": "row", "title": "Latency"},
|
||||
map[string]any{"id": "p-1", "panelTypes": "graph"},
|
||||
map[string]any{"id": "p-2", "panelTypes": "graph"},
|
||||
},
|
||||
"layout": []any{
|
||||
map[string]any{"i": "row-1", "x": float64(0), "y": float64(0), "w": float64(12), "h": float64(1)},
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(1), "w": float64(6), "h": float64(6)},
|
||||
map[string]any{"i": "p-2", "x": float64(0), "y": float64(7), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
"panelMap": map[string]any{
|
||||
"row-1": map[string]any{
|
||||
"collapsed": true,
|
||||
"widgets": []any{
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(1), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
layouts := convertV1Layouts(data)
|
||||
require.Len(t, layouts, 2, "one root grid (p-2) + one section grid (row-1 with p-1)")
|
||||
|
||||
rootSpec, ok := layouts[0].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, rootSpec.Items, 1)
|
||||
assert.Equal(t, "#/spec/panels/p-2", rootSpec.Items[0].Content.Ref)
|
||||
assert.Nil(t, rootSpec.Display)
|
||||
|
||||
sectionSpec, ok := layouts[1].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.NotNil(t, sectionSpec.Display)
|
||||
assert.Equal(t, "Latency", sectionSpec.Display.Title)
|
||||
require.NotNil(t, sectionSpec.Display.Collapse)
|
||||
assert.False(t, sectionSpec.Display.Collapse.Open, "collapsed=true → open=false")
|
||||
require.Len(t, sectionSpec.Items, 1)
|
||||
assert.Equal(t, "#/spec/panels/p-1", sectionSpec.Items[0].Content.Ref)
|
||||
}
|
||||
|
||||
func TestConvertV1LayoutsEmpty(t *testing.T) {
|
||||
assert.Nil(t, convertV1Layouts(StorableDashboardData{}))
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Variables
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1VariablesAllTypes(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{
|
||||
"name": "service.name",
|
||||
"description": "the service",
|
||||
"type": "QUERY",
|
||||
"queryValue": "SELECT name FROM s",
|
||||
"multiSelect": true,
|
||||
"showALLOption": true,
|
||||
"sort": "ASC",
|
||||
"order": float64(1),
|
||||
},
|
||||
"u-2": map[string]any{
|
||||
"name": "env",
|
||||
"type": "CUSTOM",
|
||||
"customValue": "prod,staging,dev",
|
||||
"order": float64(2),
|
||||
"selectedValue": "prod",
|
||||
},
|
||||
"u-3": map[string]any{
|
||||
"name": "deployment.environment",
|
||||
"type": "DYNAMIC",
|
||||
"dynamicVariablesAttribute": "deployment.environment",
|
||||
"dynamicVariablesSource": "traces",
|
||||
"order": float64(0),
|
||||
},
|
||||
"u-4": map[string]any{
|
||||
"name": "freetext",
|
||||
"type": "TEXTBOX",
|
||||
"textboxValue": "hello",
|
||||
"order": float64(3),
|
||||
},
|
||||
}
|
||||
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 4)
|
||||
|
||||
// Ordered by `order` ascending: u-3 (0), u-1 (1), u-2 (2), u-4 (3)
|
||||
assert.Equal(t, variable.KindList, vars[0].Kind)
|
||||
dyn, ok := vars[0].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "deployment.environment", dyn.Name)
|
||||
assert.Equal(t, VariableKindDynamic, dyn.Plugin.Kind)
|
||||
|
||||
q, ok := vars[1].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "service.name", q.Name)
|
||||
assert.Equal(t, VariableKindQuery, q.Plugin.Kind)
|
||||
assert.True(t, q.AllowMultiple)
|
||||
assert.True(t, q.AllowAllValue)
|
||||
require.NotNil(t, q.Sort)
|
||||
assert.Equal(t, variable.SortAlphabeticalAsc, *q.Sort)
|
||||
|
||||
c, ok := vars[2].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "env", c.Name)
|
||||
assert.Equal(t, VariableKindCustom, c.Plugin.Kind)
|
||||
require.NotNil(t, c.DefaultValue)
|
||||
assert.Equal(t, "prod", c.DefaultValue.SingleValue)
|
||||
|
||||
assert.Equal(t, variable.KindText, vars[3].Kind)
|
||||
text, ok := vars[3].Spec.(*dashboard.TextVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "freetext", text.Name)
|
||||
assert.Equal(t, "hello", text.Value)
|
||||
}
|
||||
|
||||
func TestConvertV1VariablesSkipsUnnamedAndUnknownTypes(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{"name": "", "type": "QUERY"},
|
||||
"u-2": map[string]any{"name": "ok", "type": "WHATEVER"},
|
||||
"u-3": map[string]any{"name": "good", "type": "CUSTOM", "customValue": "a"},
|
||||
}
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 1)
|
||||
spec := vars[0].Spec.(*ListVariableSpec)
|
||||
assert.Equal(t, "good", spec.Name)
|
||||
}
|
||||
|
||||
func TestConvertV1VariablesDefaultFromSelectedSlice(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{
|
||||
"name": "svc",
|
||||
"type": "QUERY",
|
||||
"queryValue": "SELECT 1",
|
||||
"selectedValue": []any{"foo", "", "bar"},
|
||||
},
|
||||
}
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 1)
|
||||
spec := vars[0].Spec.(*ListVariableSpec)
|
||||
require.NotNil(t, spec.DefaultValue)
|
||||
assert.Equal(t, []string{"foo", "bar"}, spec.DefaultValue.SliceValues)
|
||||
}
|
||||
170
pkg/types/dashboardtypes/perses_v1_to_v2_variables.go
Normal file
170
pkg/types/dashboardtypes/perses_v1_to_v2_variables.go
Normal file
@@ -0,0 +1,170 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"sort"
|
||||
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
"github.com/perses/spec/go/dashboard/variable"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Variables
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Variables walks the v1 `variables` map (UUID-keyed) and produces an
|
||||
// ordered []Variable. Variables sort by `order` first, then by id for stable
|
||||
// output. v1 variable types map as follows:
|
||||
//
|
||||
// QUERY → ListVariable + signoz/QueryVariable
|
||||
// CUSTOM → ListVariable + signoz/CustomVariable
|
||||
// DYNAMIC → ListVariable + signoz/DynamicVariable
|
||||
// TEXTBOX → TextVariable
|
||||
func convertV1Variables(raw any) []Variable {
|
||||
rawMap, ok := raw.(map[string]any)
|
||||
if !ok || len(rawMap) == 0 {
|
||||
return nil
|
||||
}
|
||||
type ordered struct {
|
||||
key string
|
||||
val map[string]any
|
||||
ord float64
|
||||
}
|
||||
entries := make([]ordered, 0, len(rawMap))
|
||||
for key, value := range rawMap {
|
||||
m, ok := value.(map[string]any)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
ord, _ := m["order"].(float64)
|
||||
entries = append(entries, ordered{key: key, val: m, ord: ord})
|
||||
}
|
||||
sort.SliceStable(entries, func(i, j int) bool {
|
||||
if entries[i].ord != entries[j].ord {
|
||||
return entries[i].ord < entries[j].ord
|
||||
}
|
||||
return entries[i].key < entries[j].key
|
||||
})
|
||||
|
||||
out := make([]Variable, 0, len(entries))
|
||||
for _, e := range entries {
|
||||
v, ok := convertV1Variable(e.val)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
out = append(out, v)
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func convertV1Variable(v map[string]any) (Variable, bool) {
|
||||
name, _ := v["name"].(string)
|
||||
if name == "" {
|
||||
return Variable{}, false
|
||||
}
|
||||
description, _ := v["description"].(string)
|
||||
kind, _ := v["type"].(string)
|
||||
|
||||
switch kind {
|
||||
case "TEXTBOX":
|
||||
value, _ := v["textboxValue"].(string)
|
||||
spec := &dashboard.TextVariableSpec{
|
||||
TextSpec: variable.TextSpec{
|
||||
Display: &variable.Display{Name: name, Description: description},
|
||||
Value: value,
|
||||
},
|
||||
Name: name,
|
||||
}
|
||||
return Variable{Kind: variable.KindText, Spec: spec}, true
|
||||
|
||||
case "QUERY", "CUSTOM", "DYNAMIC":
|
||||
listSpec := &ListVariableSpec{
|
||||
Display: Display{Name: name, Description: description},
|
||||
AllowAllValue: valueAt[bool](v, "showALLOption"),
|
||||
AllowMultiple: valueAt[bool](v, "multiSelect"),
|
||||
CustomAllValue: valueAt[string](v, "customAllValue"),
|
||||
CapturingRegexp: valueAt[string](v, "capturingRegexp"),
|
||||
Sort: mapV1Sort(v["sort"]),
|
||||
Plugin: variablePluginFor(kind, v),
|
||||
Name: name,
|
||||
}
|
||||
if dv := mapV1VariableDefault(v); dv != nil {
|
||||
listSpec.DefaultValue = dv
|
||||
}
|
||||
return Variable{Kind: variable.KindList, Spec: listSpec}, true
|
||||
}
|
||||
|
||||
return Variable{}, false
|
||||
}
|
||||
|
||||
func variablePluginFor(kind string, v map[string]any) VariablePlugin {
|
||||
switch kind {
|
||||
case "QUERY":
|
||||
return VariablePlugin{
|
||||
Kind: VariableKindQuery,
|
||||
Spec: &QueryVariableSpec{QueryValue: valueAt[string](v, "queryValue")},
|
||||
}
|
||||
case "CUSTOM":
|
||||
return VariablePlugin{
|
||||
Kind: VariableKindCustom,
|
||||
Spec: &CustomVariableSpec{CustomValue: valueAt[string](v, "customValue")},
|
||||
}
|
||||
case "DYNAMIC":
|
||||
spec := &DynamicVariableSpec{Name: valueAt[string](v, "dynamicVariablesAttribute")}
|
||||
if signal := signalFromDataSource(v["dynamicVariablesSource"]); !signal.IsZero() {
|
||||
spec.Signal = signal
|
||||
}
|
||||
return VariablePlugin{Kind: VariableKindDynamic, Spec: spec}
|
||||
}
|
||||
return VariablePlugin{}
|
||||
}
|
||||
|
||||
func mapV1VariableDefault(v map[string]any) *variable.DefaultValue {
|
||||
if raw, ok := v["selectedValue"]; ok {
|
||||
return defaultValueFromAny(raw)
|
||||
}
|
||||
if raw, ok := v["defaultValue"]; ok {
|
||||
return defaultValueFromAny(raw)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func defaultValueFromAny(raw any) *variable.DefaultValue {
|
||||
switch v := raw.(type) {
|
||||
case string:
|
||||
if v == "" {
|
||||
return nil
|
||||
}
|
||||
return &variable.DefaultValue{SingleValue: v}
|
||||
case []any:
|
||||
if len(v) == 0 {
|
||||
return nil
|
||||
}
|
||||
values := make([]string, 0, len(v))
|
||||
for _, item := range v {
|
||||
if s, ok := item.(string); ok && s != "" {
|
||||
values = append(values, s)
|
||||
}
|
||||
}
|
||||
if len(values) == 0 {
|
||||
return nil
|
||||
}
|
||||
return &variable.DefaultValue{SliceValues: values}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func mapV1Sort(raw any) *variable.Sort {
|
||||
s, _ := raw.(string)
|
||||
var sort variable.Sort
|
||||
switch s {
|
||||
case "ASC":
|
||||
sort = variable.SortAlphabeticalAsc
|
||||
case "DESC":
|
||||
sort = variable.SortAlphabeticalDesc
|
||||
case "DISABLED", "":
|
||||
return nil // SortNone is the implicit default
|
||||
default:
|
||||
return nil
|
||||
}
|
||||
return &sort
|
||||
}
|
||||
66
pkg/types/migration.md
Normal file
66
pkg/types/migration.md
Normal file
@@ -0,0 +1,66 @@
|
||||
### Phases
|
||||
|
||||
1. **Pre-migration (dev)**: new tables `tag`, `tag_relations`, `pinned_dashboard`, `dashboard_view`
|
||||
2. **Validation**: run the migration script against a few prod snapshots locally. Verify counts match, spot-check shapes, time the run to estimate downtime.
|
||||
3. **Dry-run in cloud prod (cloud only).** Ship a build that runs the migration script in read-only
|
||||
mode against live prod data. Whenever the v1 get API is called for a dashboard, we dry-run the migration script for it in an async process. If there is a failure, schema mismatches, tag normalization rejections, etc, it is logged. Reach out to affected customers to fix their dashboards before the real migration. Re-run closer to migration day to confirm resolution.
|
||||
4. **Migration deploy**: script runs, FF flips on. Integration dashboards materialized in the `dashboard` table using an internal system account with `Locked = true`.
|
||||
5. **Post-migration**: v1 APIs deprecated but still respond.
|
||||
|
||||
#### **Rejected idea: dry run in a background job**
|
||||
|
||||
In the above plan, we only check the dashboards that the users access. However, that should be enough to cover enough dashboards to be able to find out possible issues. The extra effort of a background job doesn't have enough ROI.
|
||||
|
||||
### What gets migrated
|
||||
|
||||
Existing v1 dashboards → full v2 data shape (tags extracted from `data.tags` into `tag` and `tag_relations`; the field is removed from the blob). Integration dashboards → materialized rows. Pinned dashboards and saved views start empty.
|
||||
|
||||
### Tag normalization (v1 strings → v2 tag rows)
|
||||
|
||||
Each v1 dashboard `data.tags` is `[]string`. For every string `s`, derive `(key, value)`.
|
||||
|
||||
**Order of rules:**
|
||||
|
||||
1. **Trim** leading/trailing whitespace from `s`. If empty after trim → **skip silently** (log dashboard id + index, continue).
|
||||
2. **If `s` contains `:`** → split at the **first** `:`. Let `k` = left side, `v` = right side.
|
||||
- If `k` is empty (input was `:val`) → `key = "tag"`, `value = val`.
|
||||
- If `v` is empty (input was `key:`) → `key = "tag"`, `value = k` (the literal left side becomes the value).
|
||||
- Otherwise → `key = k`, `value = v`.
|
||||
- Other `:` are replaced with `_`.
|
||||
3. **Else if `s` contains `/`** → split at the **first** `/`. Let `k` = left side, `v` = right side.
|
||||
- Same empty-side handling: empty left → `key="tag", value=v`; empty right → `key="tag", value=k`. Otherwise → `key=k, value=v`.
|
||||
4. **Else** (no separator) → `key = "tag"`, `value = s`.
|
||||
5. Reserved-key collision. After steps 2–4, if the resulting key (case-insensitively) matches a reserved DSL key (name, description, created_at, updated_at, created_by, locked, public), prefix it with _ (e.g. name → _name). Silent — extremely unlikely in practice, but the rename keeps the dashboard alive without ambiguating the query DSL.
|
||||
6. **`/` scrub.** Output tags must never contain `/` (input validation forbids it). After the above steps, replace any remaining `/` in `key` and `value` with `_`:
|
||||
- `a/b/c` → step 3 splits at first `/` → `key="a", value="b/c"` → after scrub → `key="a", value="b_c"`
|
||||
- `team/eng:prod` → step 2 splits at `:` → `key="team/eng", value="prod"` → after scrub → `key="team_eng", value="prod"`
|
||||
- `team/eng:my/path` → step 2 → `key="team/eng", value="my/path"` → scrub → `key="team_eng", value="my_path"`
|
||||
|
||||
Trailing/leading whitespace within `key` and `value` after split is also trimmed; if either side becomes empty after that, apply the empty-side rules above. If both sides are effectively empty (e.g. input was `:` or `/`), skip silently.
|
||||
|
||||
**Case-collision dedup:**
|
||||
|
||||
Multiple v1 strings can normalize to the same `(LOWER(key), LOWER(value))` across an org (e.g. `Env:Prod` and `env:PROD`). The functional unique index ensures only one row exists. Display casing is taken from the variant on the dashboard with the **earliest `created_at`** (ties broken by `dashboard.id`) — same rule as the previous spec, just applied to `(key, value)` instead of `name`.
|
||||
|
||||
**Tag relations:**
|
||||
|
||||
After tag rows are upserted, build `tag_relations` from each (dashboard, tag-id-after-dedup) pair. `ON CONFLICT` clause in the query makes this idempotent.
|
||||
|
||||
### Script properties
|
||||
|
||||
- Per-dashboard transactional. One failure logs the dashboard id and continues.
|
||||
- Idempotent: `ON CONFLICT DO NOTHING` on tag and tag_relations upserts; dashboards already in v2 shape are skipped.
|
||||
- Progress logged every N dashboards; final summary includes totals and failure list.
|
||||
|
||||
### Rollback
|
||||
|
||||
Forward-only — no v2→v1 reverse script. The FF is the kill-switch pre-frontend-cutover. After cutover, rollback = another deploy with the fix.
|
||||
|
||||
### What about dashboards that fail to migrate after all this?
|
||||
|
||||
In Get API (v2) there will be a check on the dashboard fetched.
|
||||
|
||||
- `v2` → normal flow.
|
||||
- `v1` → return `422 Unprocessable Entity`.
|
||||
|
||||
The deprecated v1 APIs will still exist, so if any support ticket comes, we can check via the v1 API and see what’s wrong.
|
||||
@@ -1,6 +1,8 @@
|
||||
package spantypes
|
||||
|
||||
import (
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
)
|
||||
|
||||
@@ -37,11 +39,17 @@ type GettableFlamegraphTrace struct {
|
||||
HasMore bool `json:"hasMore" required:"true"`
|
||||
}
|
||||
|
||||
func NewGettableFlamegraphTrace(spans [][]*FlamegraphSpan, startMs, endMs int64, hasMore bool) *GettableFlamegraphTrace {
|
||||
func NewGettableFlamegraphTrace(spans [][]*FlamegraphSpan, start, end time.Time, hasMore bool) *GettableFlamegraphTrace {
|
||||
// convert timestamp to millisecond since client expect that
|
||||
for _, level := range spans {
|
||||
for _, span := range level {
|
||||
span.Timestamp /= 1_000_000
|
||||
}
|
||||
}
|
||||
return &GettableFlamegraphTrace{
|
||||
Spans: spans,
|
||||
StartTimestampMillis: startMs,
|
||||
EndTimestampMillis: endMs,
|
||||
StartTimestampMillis: start.UnixMilli(),
|
||||
EndTimestampMillis: end.UnixMilli(),
|
||||
HasMore: hasMore,
|
||||
}
|
||||
}
|
||||
|
||||
75
tests/integration/testdata/inframonitoring/jobs_completed.jsonl
vendored
Normal file
75
tests/integration/testdata/inframonitoring/jobs_completed.jsonl
vendored
Normal file
@@ -0,0 +1,75 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
432
tests/integration/testdata/inframonitoring/jobs_filter_dataset.jsonl
vendored
Normal file
432
tests/integration/testdata/inframonitoring/jobs_filter_dataset.jsonl
vendored
Normal file
@@ -0,0 +1,432 @@
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p2-uid", "k8s.pod.name": "etl-a-prod-acc-1-p2", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
132
tests/integration/testdata/inframonitoring/jobs_groupby.jsonl
vendored
Normal file
132
tests/integration/testdata/inframonitoring/jobs_groupby.jsonl
vendored
Normal file
@@ -0,0 +1,132 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b1","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
33
tests/integration/testdata/inframonitoring/jobs_lifecycle.jsonl
vendored
Normal file
33
tests/integration/testdata/inframonitoring/jobs_lifecycle.jsonl
vendored
Normal file
@@ -0,0 +1,33 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
3
tests/integration/testdata/inframonitoring/jobs_missing_metrics.jsonl
vendored
Normal file
3
tests/integration/testdata/inframonitoring/jobs_missing_metrics.jsonl
vendored
Normal file
@@ -0,0 +1,3 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
96
tests/integration/testdata/inframonitoring/jobs_non_job_pods.jsonl
vendored
Normal file
96
tests/integration/testdata/inframonitoring/jobs_non_job_pods.jsonl
vendored
Normal file
@@ -0,0 +1,96 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
165
tests/integration/testdata/inframonitoring/jobs_orderby.jsonl
vendored
Normal file
165
tests/integration/testdata/inframonitoring/jobs_orderby.jsonl
vendored
Normal file
@@ -0,0 +1,165 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-4","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-4","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-4","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-4","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-4","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
231
tests/integration/testdata/inframonitoring/jobs_pagination.jsonl
vendored
Normal file
231
tests/integration/testdata/inframonitoring/jobs_pagination.jsonl
vendored
Normal file
@@ -0,0 +1,231 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
138
tests/integration/testdata/inframonitoring/jobs_pod_phases.jsonl
vendored
Normal file
138
tests/integration/testdata/inframonitoring/jobs_pod_phases.jsonl
vendored
Normal file
@@ -0,0 +1,138 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
129
tests/integration/testdata/inframonitoring/jobs_value_accuracy.jsonl
vendored
Normal file
129
tests/integration/testdata/inframonitoring/jobs_value_accuracy.jsonl
vendored
Normal file
@@ -0,0 +1,129 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
44
tests/integration/testdata/inframonitoring/jobs_value_accuracy_expected.json
vendored
Normal file
44
tests/integration/testdata/inframonitoring/jobs_value_accuracy_expected.json
vendored
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"records": [
|
||||
{
|
||||
"jobName": "acc-job-1",
|
||||
"jobCPU": 1.0,
|
||||
"jobCPURequest": 0.5,
|
||||
"jobCPULimit": 0.4,
|
||||
"jobMemory": 300000000.0,
|
||||
"jobMemoryRequest": 0.5,
|
||||
"jobMemoryLimit": 0.4,
|
||||
"desiredSuccessfulPods": 2,
|
||||
"activePods": 1,
|
||||
"failedPods": 0,
|
||||
"successfulPods": 1,
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 2,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"jobName": "acc-job-2",
|
||||
"jobCPU": 1.2,
|
||||
"jobCPURequest": 0.4,
|
||||
"jobCPULimit": 0.3,
|
||||
"jobMemory": 600000000.0,
|
||||
"jobMemoryRequest": 0.4,
|
||||
"jobMemoryLimit": 0.3,
|
||||
"desiredSuccessfulPods": 5,
|
||||
"activePods": 3,
|
||||
"failedPods": 1,
|
||||
"successfulPods": 2,
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 3,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -9,6 +9,28 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
BASE_URL = "/api/v2/dashboards"
|
||||
# v1 list returns every dashboard regardless of schema. v2 list converts each row
|
||||
# to the perses schema and 501s if any stored dashboard isn't perses-schema, so
|
||||
# listing for cleanup against a shared DB must go through v1.
|
||||
V1_BASE_URL = "/api/v1/dashboards"
|
||||
|
||||
|
||||
def _wipe_all_dashboards(signoz: SigNoz, token: str) -> None:
|
||||
response = requests.get(
|
||||
signoz.self.host_configs["8080"].get(V1_BASE_URL),
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
for dashboard in response.json()["data"]:
|
||||
metadata = (dashboard.get("data") or {}).get("metadata") or {}
|
||||
base = BASE_URL if metadata.get("schemaVersion") == "v6" else V1_BASE_URL
|
||||
del_res = requests.delete(
|
||||
signoz.self.host_configs["8080"].get(f"{base}/{dashboard['id']}"),
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
)
|
||||
assert del_res.status_code == HTTPStatus.NO_CONTENT, del_res.text
|
||||
|
||||
|
||||
# ─── failure cases (create no dashboards) ────────────────────────────────────
|
||||
@@ -258,18 +280,7 @@ def test_dashboard_v2_lifecycle( # pylint: disable=too-many-locals,too-many-sta
|
||||
# runs, so start from a clean slate: delete every dashboard (which also clears
|
||||
# pins via the delete cascade). This test then owns the whole dashboard space
|
||||
# and asserts on global counts.
|
||||
existing = requests.get(
|
||||
signoz.self.host_configs["8080"].get(BASE_URL),
|
||||
params={"limit": 200},
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
).json()["data"]["dashboards"]
|
||||
for dashboard in existing:
|
||||
requests.delete(
|
||||
signoz.self.host_configs["8080"].get(f"{BASE_URL}/{dashboard['id']}"),
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
)
|
||||
_wipe_all_dashboards(signoz, token)
|
||||
|
||||
dashboard_requests = [
|
||||
(
|
||||
@@ -687,18 +698,7 @@ def test_dashboard_v2_pin_limit(
|
||||
|
||||
# Wipe the dashboard space (see lifecycle) so the per-user pin cap this test
|
||||
# asserts against starts empty — deleting dashboards clears their pins.
|
||||
existing = requests.get(
|
||||
signoz.self.host_configs["8080"].get(BASE_URL),
|
||||
params={"limit": 200},
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
).json()["data"]["dashboards"]
|
||||
for dashboard in existing:
|
||||
requests.delete(
|
||||
signoz.self.host_configs["8080"].get(f"{BASE_URL}/{dashboard['id']}"),
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
)
|
||||
_wipe_all_dashboards(signoz, token)
|
||||
|
||||
ids: list[str] = []
|
||||
for i in range(max_pinned + 1):
|
||||
@@ -785,18 +785,7 @@ def test_dashboard_v2_like_escaping(
|
||||
|
||||
# Wipe the dashboard space (see lifecycle) so the filter assertions run
|
||||
# against only the dashboards this test creates.
|
||||
existing = requests.get(
|
||||
signoz.self.host_configs["8080"].get(BASE_URL),
|
||||
params={"limit": 200},
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
).json()["data"]["dashboards"]
|
||||
for dashboard in existing:
|
||||
requests.delete(
|
||||
signoz.self.host_configs["8080"].get(f"{BASE_URL}/{dashboard['id']}"),
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
timeout=5,
|
||||
)
|
||||
_wipe_all_dashboards(signoz, token)
|
||||
|
||||
dashboard_requests = [
|
||||
("esc-pct", "Cost 50% Report"),
|
||||
|
||||
740
tests/integration/tests/inframonitoring/09_jobs.py
Normal file
740
tests/integration/tests/inframonitoring/09_jobs.py
Normal file
@@ -0,0 +1,740 @@
|
||||
"""Integration tests for v2 infra-monitoring jobs endpoint."""
|
||||
|
||||
import json
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from http import HTTPStatus
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import compare_values
|
||||
|
||||
ENDPOINT = "/api/v2/infra_monitoring/jobs"
|
||||
|
||||
# Required metrics for the v2 jobs endpoint
|
||||
# (pkg/modules/inframonitoring/implinframonitoring/jobs_constants.go:24-36).
|
||||
REQUIRED_METRICS = {
|
||||
"k8s.pod.phase",
|
||||
"k8s.pod.cpu.usage",
|
||||
"k8s.pod.cpu_request_utilization",
|
||||
"k8s.pod.cpu_limit_utilization",
|
||||
"k8s.pod.memory.working_set",
|
||||
"k8s.pod.memory_request_utilization",
|
||||
"k8s.pod.memory_limit_utilization",
|
||||
"k8s.job.active_pods",
|
||||
"k8s.job.failed_pods",
|
||||
"k8s.job.successful_pods",
|
||||
"k8s.job.desired_successful_pods",
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_accuracy(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Assert response shape/contract + exact per-job metric values, all 4
|
||||
lifecycle counts, and phase counts against precomputed expected output.
|
||||
|
||||
Locks in Sum vs Avg split across pod-level metrics
|
||||
(jobs_constants.go:81-198): A/D = SpaceAggregationSum across pods;
|
||||
B/C/E/F = SpaceAggregationAvg. All 4 job-level counts (H/I/J/K) use
|
||||
TimeAggregationLatest + SpaceAggregationSum + ReduceToLast.
|
||||
"""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_value_accuracy.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
with open(
|
||||
get_testdata_file_path("inframonitoring/jobs_value_accuracy_expected.json"),
|
||||
encoding="utf-8",
|
||||
) as f:
|
||||
expected = json.load(f)
|
||||
exp_by_name = {r["jobName"]: r for r in expected["records"]}
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
|
||||
# Shape/contract.
|
||||
assert data["total"] == len(expected["records"])
|
||||
assert len(data["records"]) == len(expected["records"])
|
||||
assert data["requiredMetricsCheck"]["missingMetrics"] == []
|
||||
assert data["endTimeBeforeRetention"] is False
|
||||
assert {r["jobName"] for r in data["records"]} == set(exp_by_name.keys())
|
||||
|
||||
for record in data["records"]:
|
||||
for field in (
|
||||
"jobName",
|
||||
"jobCPU",
|
||||
"jobCPURequest",
|
||||
"jobCPULimit",
|
||||
"jobMemory",
|
||||
"jobMemoryRequest",
|
||||
"jobMemoryLimit",
|
||||
"desiredSuccessfulPods",
|
||||
"activePods",
|
||||
"failedPods",
|
||||
"successfulPods",
|
||||
"podCountsByPhase",
|
||||
"meta",
|
||||
):
|
||||
assert field in record, f"missing {field} in {record!r}"
|
||||
|
||||
# All 4 lifecycle counts must be ints (not floats).
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert isinstance(record[int_field], int), f"{int_field} should be int, got {type(record[int_field]).__name__}"
|
||||
|
||||
for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
|
||||
assert bucket in record["podCountsByPhase"]
|
||||
assert isinstance(record["podCountsByPhase"][bucket], int)
|
||||
|
||||
assert record["meta"].get("k8s.job.name") == record["jobName"]
|
||||
assert "k8s.namespace.name" in record["meta"]
|
||||
assert "k8s.cluster.name" in record["meta"]
|
||||
|
||||
# Exact values.
|
||||
exp = exp_by_name[record["jobName"]]
|
||||
for field in (
|
||||
"jobCPU",
|
||||
"jobCPURequest",
|
||||
"jobCPULimit",
|
||||
"jobMemory",
|
||||
"jobMemoryRequest",
|
||||
"jobMemoryLimit",
|
||||
):
|
||||
assert compare_values(record[field], exp[field], 1e-6), f"{record['jobName']}.{field}: got {record[field]}, expected {exp[field]}"
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert record[int_field] == exp[int_field], f"{record['jobName']}.{int_field}: got {record[int_field]}, expected {exp[int_field]}"
|
||||
assert record["podCountsByPhase"] == exp["podCountsByPhase"]
|
||||
|
||||
|
||||
def test_jobs_missing_metrics(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Seed only k8s.pod.cpu.usage; assert other 10 required metrics flagged missing."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_missing_metrics.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
|
||||
assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
|
||||
assert data["records"] == []
|
||||
assert data["total"] == 0
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,expected",
|
||||
[
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND env = 'prod'",
|
||||
{"etl-a-prod", "cron-a-prod"},
|
||||
id="and",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name IN ('etl-a-prod', 'cron-b-dev')",
|
||||
{"etl-a-prod", "cron-b-dev"},
|
||||
id="in",
|
||||
),
|
||||
# NOT IN on the partition key (k8s.job.name) returns the rest.
|
||||
# NOT IN on non-partition labels is unreliable in QB v5; covered indirectly
|
||||
# via the and_not_in combo. Same workaround as clusters/volumes/deployments/SS.
|
||||
pytest.param(
|
||||
"k8s.job.name NOT IN ('etl-a-prod', 'etl-a-dev', 'cron-a-prod', 'cron-a-dev')",
|
||||
{"etl-b-prod", "etl-b-dev", "cron-b-prod", "cron-b-dev"},
|
||||
id="not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-a-dev", "etl-b-prod", "etl-b-dev"},
|
||||
id="contains",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND k8s.job.name IN ('etl-a-prod', 'cron-a-prod')",
|
||||
{"etl-a-prod", "cron-a-prod"},
|
||||
id="and_in",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND k8s.job.name NOT IN ('etl-a-prod', 'etl-a-dev')",
|
||||
{"cron-a-prod", "cron-a-dev"},
|
||||
id="and_not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"env = 'prod' AND k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-b-prod"},
|
||||
id="and_contains",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name IN ('etl-a-prod', 'etl-b-prod', 'cron-a-prod') AND k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-b-prod"},
|
||||
id="in_contains",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_filter(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
expected: set,
|
||||
) -> None:
|
||||
"""Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
|
||||
return exactly the matching jobs, with undistorted per-job metric values."""
|
||||
# Every job in jobs_filter_dataset.jsonl carries the same sample pattern
|
||||
# as acc-job-1 in jobs_value_accuracy.jsonl (2 pods), so all filtered
|
||||
# records must resolve to these exact values (mirrors
|
||||
# jobs_value_accuracy_expected.json acc-job-1).
|
||||
expected_values = {
|
||||
"jobCPU": 1.0,
|
||||
"jobCPURequest": 0.5,
|
||||
"jobCPULimit": 0.4,
|
||||
"jobMemory": 300000000.0,
|
||||
"jobMemoryRequest": 0.5,
|
||||
"jobMemoryLimit": 0.4,
|
||||
}
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert {r["jobName"] for r in data["records"]} == expected
|
||||
assert data["total"] == len(expected)
|
||||
|
||||
# Filtering must not distort per-job aggregation values.
|
||||
for record in data["records"]:
|
||||
for field in expected_values:
|
||||
assert compare_values(record[field], expected_values[field], 1e-6), f"{record['jobName']}.{field}: got {record[field]}, expected {expected_values[field]}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,err_substr",
|
||||
[
|
||||
pytest.param("k8s.job.namee = 'etl-a-prod'", "k8s.job.namee", id="bad_attr_name"),
|
||||
pytest.param("k8s.job.name =", None, id="trailing_op"),
|
||||
pytest.param("(k8s.job.name = 'etl-a-prod'", None, id="unclosed_paren"),
|
||||
],
|
||||
)
|
||||
def test_jobs_filter_invalid(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
err_substr,
|
||||
) -> None:
|
||||
"""Invalid filter expressions (typo'd attribute key, malformed grammar) return
|
||||
400 invalid_input with structured errors; bad attribute keys are named in them."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
|
||||
body = response.json()
|
||||
assert body["status"] == "error"
|
||||
assert body["error"]["code"] == "invalid_input"
|
||||
assert len(body["error"]["errors"]) > 0
|
||||
if err_substr is not None:
|
||||
assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
|
||||
|
||||
|
||||
def test_jobs_pod_phase_aggregation(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Job with mixed pod phases: 2 Running + 3 Succeeded + 1 Failed (in-progress)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_pod_phases.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'pp-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "pp-job"
|
||||
assert rec["podCountsByPhase"] == {
|
||||
"pending": 0,
|
||||
"running": 2,
|
||||
"succeeded": 3,
|
||||
"failed": 1,
|
||||
"unknown": 0,
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_lifecycle_counts(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Lifecycle counters (active=2, failed=1, successful=3, desired_successful=4)
|
||||
are independent of pod phase counts. Seed deliberately mismatches: 1 Pending pod
|
||||
only. Validates the 4 int counters come straight from k8s.job.* metrics, not
|
||||
derived from observable pod phases (cumulative counters vs latest phase)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_lifecycle.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'lc-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "lc-job"
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert isinstance(rec[int_field], int), f"{int_field} should be int"
|
||||
assert rec["desiredSuccessfulPods"] == 4
|
||||
assert rec["activePods"] == 2
|
||||
assert rec["failedPods"] == 1
|
||||
assert rec["successfulPods"] == 3
|
||||
# Pod phase counts deliberately disagree: only 1 Pending pod seeded.
|
||||
assert rec["podCountsByPhase"] == {
|
||||
"pending": 1,
|
||||
"running": 0,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0,
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_completed_job(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Terminal-state job (active=0, failed=0, successful=3, desired_successful=3).
|
||||
Asserts activePods==0 and failedPods==0 are real zeros, not the -1 'no data'
|
||||
sentinel that buildJobRecords (jobs.go:30-43) initializes."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_completed.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'done-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "done-job"
|
||||
assert rec["activePods"] == 0, f"activePods=0 leaked sentinel: {rec['activePods']}"
|
||||
assert rec["failedPods"] == 0, f"failedPods=0 leaked sentinel: {rec['failedPods']}"
|
||||
assert rec["successfulPods"] == 3
|
||||
assert rec["desiredSuccessfulPods"] == 3
|
||||
assert rec["podCountsByPhase"]["succeeded"] == 3
|
||||
|
||||
|
||||
def test_jobs_base_filter_drops_non_job_pods(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Locks in jobsBaseFilterExpr (jobs_constants.go:10, :67-72):
|
||||
standalone pods (no k8s.job.name), Deployment pods (k8s.deployment.name only),
|
||||
and StatefulSet pods (k8s.statefulset.name only) are all dropped.
|
||||
Only the real job row appears, total=1, no empty-name group."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_non_job_pods.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1, f"expected only the real job row; got {[r['jobName'] for r in data['records']]}"
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "nj-job"
|
||||
assert all(r["jobName"] != "" for r in data["records"])
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"group_key,expected_running",
|
||||
[
|
||||
# groupBy=[k8s.job.name]: one record per job, jobName populated
|
||||
# (jobs.go:28-31). 1 running pod each.
|
||||
pytest.param(
|
||||
"k8s.job.name",
|
||||
{"gb-job-a1": 1, "gb-job-a2": 1, "gb-job-b1": 1, "gb-job-b2": 1},
|
||||
id="job_name",
|
||||
),
|
||||
# groupBy=[k8s.namespace.name]: aggregated across each namespace's 2
|
||||
# jobs, jobName cleared. 2 x 1 = 2 running pods each.
|
||||
pytest.param(
|
||||
"k8s.namespace.name",
|
||||
{"gb-ns-a": 2, "gb-ns-b": 2},
|
||||
id="namespace",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_groupby(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
group_key: str,
|
||||
expected_running: dict,
|
||||
) -> None:
|
||||
"""groupBy returns one record per distinct group with aggregated pod-phase
|
||||
counts. jobName is populated only when grouping by k8s.job.name
|
||||
(jobs.go:28-31 list-vs-grouped branch); meta surfaces the groupBy key."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_groupby.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"groupBy": [
|
||||
{
|
||||
"name": group_key,
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
}
|
||||
],
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == len(expected_running)
|
||||
|
||||
is_job_group = group_key == "k8s.job.name"
|
||||
group_of = lambda r: r["jobName"] if is_job_group else r["meta"][group_key] # noqa: E731 # pylint: disable=unnecessary-lambda-assignment
|
||||
by_group = {group_of(r): r for r in data["records"]}
|
||||
assert set(by_group.keys()) == set(expected_running.keys())
|
||||
|
||||
for group, running in expected_running.items():
|
||||
rec = by_group[group]
|
||||
# jobName populated per job when grouping by it, empty otherwise.
|
||||
assert rec["jobName"] == (group if is_job_group else "")
|
||||
assert rec["podCountsByPhase"]["running"] == running
|
||||
for other in ("pending", "succeeded", "failed", "unknown"):
|
||||
assert rec["podCountsByPhase"][other] == 0
|
||||
assert group_key in rec["meta"], rec["meta"]
|
||||
|
||||
|
||||
def test_jobs_pagination(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Pagination: per-page len matches min(limit, total-offset), total invariant,
|
||||
pages cover the full set with no overlap. The final offset is beyond total:
|
||||
it returns empty records while total still reflects dataset size."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_pagination.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K, limit = 7, 3
|
||||
seen_names: list[str] = []
|
||||
seen_totals: set[int] = set()
|
||||
|
||||
for offset in (0, 3, 6, K + 5):
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": limit,
|
||||
"offset": offset,
|
||||
"filter": {"expression": "k8s.job.name CONTAINS 'page-'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
seen_totals.add(data["total"])
|
||||
expected_len = max(0, min(limit, K - offset))
|
||||
assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
|
||||
seen_names.extend(r["jobName"] for r in data["records"])
|
||||
|
||||
assert seen_totals == {K}
|
||||
assert len(seen_names) == K
|
||||
assert set(seen_names) == {f"page-job-{i}" for i in range(1, K + 1)}
|
||||
|
||||
|
||||
# orderBy keys per jobs_constants.go (snake_case request keys, camelCase
|
||||
# response fields). k8s.job.name sorts via the metadata-name branch
|
||||
# (PaginateMetadataByName) and is only allowed when groupBy is empty.
|
||||
@pytest.mark.parametrize(
|
||||
"column,record_field",
|
||||
[
|
||||
pytest.param("cpu", "jobCPU", id="cpu"),
|
||||
pytest.param("cpu_request", "jobCPURequest", id="cpu_request"),
|
||||
pytest.param("cpu_limit", "jobCPULimit", id="cpu_limit"),
|
||||
pytest.param("memory", "jobMemory", id="memory"),
|
||||
pytest.param("memory_request", "jobMemoryRequest", id="memory_request"),
|
||||
pytest.param("memory_limit", "jobMemoryLimit", id="memory_limit"),
|
||||
pytest.param("desired_successful_pods", "desiredSuccessfulPods", id="desired_successful_pods"),
|
||||
pytest.param("active_pods", "activePods", id="active_pods"),
|
||||
pytest.param("failed_pods", "failedPods", id="failed_pods"),
|
||||
pytest.param("successful_pods", "successfulPods", id="successful_pods"),
|
||||
pytest.param("k8s.job.name", "jobName", id="job_name"),
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize("direction", ["asc", "desc"])
|
||||
def test_jobs_orderby( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
column: str,
|
||||
record_field: str,
|
||||
direction: str,
|
||||
) -> None:
|
||||
"""Every orderBy column x direction: total/len stay K (invariant under
|
||||
sort) and records come back sorted by the requested column."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_orderby.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K = 5
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"orderBy": {"key": {"name": column}, "direction": direction},
|
||||
# Guards against jobs seeded by other tests in the shared backend.
|
||||
"filter": {"expression": "k8s.job.name CONTAINS 'order-'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
ctx = f"orderBy={column} {direction}"
|
||||
assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == K, f"{ctx}: total={data['total']}"
|
||||
assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
|
||||
|
||||
values = [r[record_field] for r in data["records"]]
|
||||
expected = sorted(values, reverse=(direction == "desc"))
|
||||
assert values == expected, f"{ctx} not sorted; got {values}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"payload_override,err_substr",
|
||||
[
|
||||
pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
|
||||
pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
|
||||
pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
|
||||
pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
|
||||
pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
|
||||
pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
|
||||
pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
|
||||
pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
|
||||
pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
|
||||
"invalid order by key",
|
||||
id="orderby_invalid_key",
|
||||
),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
|
||||
"invalid order by direction",
|
||||
id="orderby_invalid_direction",
|
||||
),
|
||||
pytest.param(
|
||||
{
|
||||
"orderBy": {"key": {"name": "k8s.job.name"}, "direction": "desc"},
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "k8s.namespace.name",
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
}
|
||||
],
|
||||
},
|
||||
"is only allowed when groupBy is empty",
|
||||
id="orderby_jobname_with_groupby",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_validation_errors(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
payload_override: dict,
|
||||
err_substr: str,
|
||||
) -> None:
|
||||
"""All PostableJobs.Validate() rules reject with 400 + descriptive error.
|
||||
See pkg/types/inframonitoringtypes/jobs.go:48-99."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
body: dict = {
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
}
|
||||
if payload_override.pop("_use_end_eq_start", False):
|
||||
body["end"] = body["start"]
|
||||
if payload_override.pop("_use_start_gt_end", False):
|
||||
body["start"] = body["end"] + 1
|
||||
body.update(payload_override)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json=body,
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
error = response.json()["error"]
|
||||
assert error["code"] == "invalid_input"
|
||||
assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
|
||||
74
tests/integration/tests/querier/17_clickhouse_queries.py
Normal file
74
tests/integration/tests/querier/17_clickhouse_queries.py
Normal file
@@ -0,0 +1,74 @@
|
||||
"""
|
||||
Integration tests for raw ClickHouse SQL queries in the querier.
|
||||
"""
|
||||
|
||||
from collections.abc import Callable
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from http import HTTPStatus
|
||||
|
||||
from fixtures import querier, types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
|
||||
|
||||
def test_clickhouse_scalar_numeric_result_alias_classified_as_aggregation(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
) -> None:
|
||||
"""A numeric column aliased ``__result_0`` is classified as an aggregation."""
|
||||
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
response = querier.make_query_request(
|
||||
signoz,
|
||||
token,
|
||||
int((now - timedelta(hours=1)).timestamp() * 1000),
|
||||
int(now.timestamp() * 1000),
|
||||
[
|
||||
{
|
||||
"type": "clickhouse_sql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "SELECT toFloat64(1.5) AS `__result_0`",
|
||||
"disabled": False,
|
||||
},
|
||||
}
|
||||
],
|
||||
request_type=querier.RequestType.SCALAR,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
columns = querier.get_scalar_columns(response.json())
|
||||
assert len(columns) == 1
|
||||
assert columns[0]["name"] == "__result_0"
|
||||
assert columns[0]["columnType"] == "aggregation"
|
||||
assert columns[0]["aggregationIndex"] == 0
|
||||
|
||||
response = querier.make_query_request(
|
||||
signoz,
|
||||
token,
|
||||
int((now - timedelta(hours=1)).timestamp() * 1000),
|
||||
int(now.timestamp() * 1000),
|
||||
[
|
||||
{
|
||||
"type": "clickhouse_sql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "SELECT toNullable(toFloat64(1.5)) AS value",
|
||||
"disabled": False,
|
||||
},
|
||||
}
|
||||
],
|
||||
request_type=querier.RequestType.SCALAR,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
columns = querier.get_scalar_columns(response.json())
|
||||
assert len(columns) == 1
|
||||
assert columns[0]["name"] == "value"
|
||||
assert columns[0]["columnType"] == "aggregation"
|
||||
assert columns[0]["aggregationIndex"] == 0
|
||||
Reference in New Issue
Block a user