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6 Commits
nv/functio
...
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 |
@@ -409,10 +409,6 @@ components:
|
||||
properties:
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||||
duration:
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type: string
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||||
endTime:
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format: date-time
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nullable: true
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||||
type: string
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repeatOn:
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||||
items:
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$ref: '#/components/schemas/AlertmanagertypesRepeatOn'
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@@ -420,11 +416,7 @@ components:
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type: array
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repeatType:
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$ref: '#/components/schemas/AlertmanagertypesRepeatType'
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startTime:
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format: date-time
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type: string
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required:
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- startTime
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||||
- duration
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||||
- repeatType
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type: object
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@@ -458,6 +450,7 @@ components:
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||||
type: string
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||||
required:
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||||
- timezone
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||||
- startTime
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||||
type: object
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AuthtypesAttributeMapping:
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properties:
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@@ -1,101 +0,0 @@
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package postgressqlschema
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import (
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"context"
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"os"
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"testing"
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||||
"time"
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||||
|
||||
"github.com/SigNoz/signoz/ee/sqlstore/postgressqlstore"
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||||
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
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||||
"github.com/SigNoz/signoz/pkg/sqlschema"
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||||
"github.com/SigNoz/signoz/pkg/sqlstore"
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||||
"github.com/stretchr/testify/require"
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||||
)
|
||||
|
||||
// devenvPostgresDSN is the DSN for the postgres started by `make devenv-postgres`.
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// Override with TEST_POSTGRES_DSN to point at a different instance.
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const devenvPostgresDSN = "postgres://postgres:password@localhost:5432/signoz?sslmode=disable"
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||||
|
||||
// TestSignozDBTagUniqueIndex inspects the real postgres database the enterprise
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// server migrates and verifies the functional unique index added by migration
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// 094 on the "tag" table.
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//
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// - "MigrationCreatedIndex" is the ground-truth check: it reads the index
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// definition straight out of pg_indexes and confirms the functional unique
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// index physically exists. This proves the migration ran and postgres
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// accepted it.
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// - "GetIndicesRoundTrip" exercises the engine's GetIndices read-back path and
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// checks it reconstructs the same index. This is the part your colleague
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||||
// asked about.
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//
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// It mirrors the sqlite signoz.db test, but talks to the devenv postgres
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// container instead of a local file. The test skips if postgres is unreachable
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// (run `make devenv-postgres` and the enterprise server first).
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func TestSignozDBTagUniqueIndex(t *testing.T) {
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dsn := os.Getenv("TEST_POSTGRES_DSN")
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if dsn == "" {
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dsn = devenvPostgresDSN
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}
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||||
|
||||
ctx := context.Background()
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cfg := sqlstore.Config{
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Provider: "postgres",
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Postgres: sqlstore.PostgresConfig{DSN: dsn},
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Connection: sqlstore.ConnectionConfig{MaxOpenConns: 10, MaxConnLifetime: time.Minute},
|
||||
}
|
||||
|
||||
providerSettings := instrumentationtest.New().ToProviderSettings()
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store, err := postgressqlstore.New(ctx, providerSettings, cfg)
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if err != nil {
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t.Skipf("postgres unreachable at %s (run `make devenv-postgres` and the enterprise server): %v", dsn, err)
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}
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|
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pingCtx, cancel := context.WithTimeout(ctx, 2*time.Second)
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||||
defer cancel()
|
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if err := store.SQLDB().PingContext(pingCtx); err != nil {
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t.Skipf("postgres unreachable at %s (run `make devenv-postgres` and the enterprise server): %v", dsn, err)
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||||
}
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t.Logf("using postgres at %s", dsn)
|
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|
||||
schema, err := New(ctx, providerSettings, sqlschema.Config{}, store)
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||||
require.NoError(t, err)
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||||
|
||||
expected := &sqlschema.UniqueIndex{
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TableName: "tag",
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ColumnNames: []sqlschema.ColumnName{"org_id", "kind", "key", "value"},
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||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
}
|
||||
|
||||
t.Run("MigrationCreatedIndex", func(t *testing.T) {
|
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var def string
|
||||
err := store.
|
||||
BunDB().
|
||||
NewRaw("SELECT indexdef FROM pg_indexes WHERE tablename = 'tag' AND indexname = ?", expected.Name()).
|
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Scan(ctx, &def)
|
||||
require.NoError(t, err, "expected unique index %q to exist in postgres", expected.Name())
|
||||
t.Logf("stored indexdef: %s", def)
|
||||
|
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require.Contains(t, def, "UNIQUE")
|
||||
// postgres normalizes function names to lowercase.
|
||||
require.Contains(t, def, "lower(key)")
|
||||
require.Contains(t, def, "lower(value)")
|
||||
})
|
||||
|
||||
t.Run("GetIndicesRoundTrip", func(t *testing.T) {
|
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indices, err := schema.GetIndices(ctx, "tag")
|
||||
require.NoError(t, err)
|
||||
|
||||
t.Logf("GetIndices returned %d indices", len(indices))
|
||||
var got sqlschema.Index
|
||||
for _, idx := range indices {
|
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t.Logf(" name=%q type=%s columns=%v create=%s", idx.Name(), idx.Type(), idx.Columns(), string(idx.ToCreateSQL(schema.Formatter())))
|
||||
if idx.Name() == expected.Name() {
|
||||
got = idx
|
||||
}
|
||||
}
|
||||
|
||||
require.NotNil(t, got, "GetIndices did not return the functional unique index %q", expected.Name())
|
||||
require.True(t, expected.Equals(got), "round-tripped index should equal the original definition")
|
||||
})
|
||||
}
|
||||
@@ -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
|
||||
*/
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -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;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -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;
|
||||
|
||||
@@ -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) })
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -213,7 +213,7 @@ func NewSQLMigrationProviderFactories(
|
||||
sqlmigration.NewCloudIntegrationRemoveCascadeDeleteFactory(sqlschema),
|
||||
sqlmigration.NewAddUserDashboardPreferenceFactory(sqlstore, sqlschema),
|
||||
sqlmigration.NewRecreateUserDashboardPreferenceFactory(sqlstore, sqlschema),
|
||||
sqlmigration.NewAddTagUniqueIndexFactory(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)
|
||||
|
||||
@@ -62,6 +62,8 @@ func (migration *addTags) Up(ctx context.Context, db *bun.DB) error {
|
||||
})
|
||||
sqls = append(sqls, tagTableSQLs...)
|
||||
|
||||
// TODO (@namanverma): add a unique index for tags: (org_id, kind, (LOWER(key)), (LOWER(value)))
|
||||
|
||||
tagRelationsTableSQLs := migration.sqlschema.Operator().CreateTable(&sqlschema.Table{
|
||||
Name: "tag_relation",
|
||||
Columns: []*sqlschema.Column{
|
||||
|
||||
@@ -1,60 +0,0 @@
|
||||
package sqlmigration
|
||||
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/sqlschema"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore"
|
||||
"github.com/uptrace/bun"
|
||||
"github.com/uptrace/bun/migrate"
|
||||
)
|
||||
|
||||
type addTagUniqueIndex struct {
|
||||
sqlstore sqlstore.SQLStore
|
||||
sqlschema sqlschema.SQLSchema
|
||||
}
|
||||
|
||||
func NewAddTagUniqueIndexFactory(sqlstore sqlstore.SQLStore, sqlschema sqlschema.SQLSchema) factory.ProviderFactory[SQLMigration, Config] {
|
||||
return factory.NewProviderFactory(factory.MustNewName("add_tag_unique_index"), func(ctx context.Context, ps factory.ProviderSettings, c Config) (SQLMigration, error) {
|
||||
return &addTagUniqueIndex{
|
||||
sqlstore: sqlstore,
|
||||
sqlschema: sqlschema,
|
||||
}, nil
|
||||
})
|
||||
}
|
||||
|
||||
func (migration *addTagUniqueIndex) Register(migrations *migrate.Migrations) error {
|
||||
return migrations.Register(migration.Up, migration.Down)
|
||||
}
|
||||
|
||||
func (migration *addTagUniqueIndex) Up(ctx context.Context, db *bun.DB) error {
|
||||
tx, err := db.BeginTx(ctx, nil)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
defer func() {
|
||||
_ = tx.Rollback()
|
||||
}()
|
||||
|
||||
sqls := migration.sqlschema.Operator().CreateIndex(
|
||||
&sqlschema.UniqueIndex{
|
||||
TableName: "tag",
|
||||
ColumnNames: []sqlschema.ColumnName{"org_id", "kind", "key", "value"},
|
||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
},
|
||||
)
|
||||
|
||||
for _, sql := range sqls {
|
||||
if _, err := tx.ExecContext(ctx, string(sql)); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
|
||||
return tx.Commit()
|
||||
}
|
||||
|
||||
func (migration *addTagUniqueIndex) Down(_ context.Context, _ *bun.DB) error {
|
||||
return nil
|
||||
}
|
||||
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
|
||||
}
|
||||
@@ -1,8 +1,6 @@
|
||||
package sqlschema
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"hash/fnv"
|
||||
"slices"
|
||||
"strings"
|
||||
|
||||
@@ -51,23 +49,9 @@ type Index interface {
|
||||
ToDropSQL(fmter SQLFormatter) []byte
|
||||
}
|
||||
|
||||
// UniqueIndex models a unique index on a table.
|
||||
//
|
||||
// In the common case the index keys on plain columns: set only ColumnNames and
|
||||
// the SQL is emitted with each column identifier-quoted by the formatter
|
||||
// (`CREATE UNIQUE INDEX uq_t_a_b ON t (a, b)`).
|
||||
//
|
||||
// For functional indexes (e.g. case-insensitive uniqueness on `LOWER(col)`),
|
||||
// set Expressions to the raw SQL parts and use ColumnNames as metadata for
|
||||
// "which columns does this index touch". When Expressions is non-empty, it
|
||||
// overrides ColumnNames for SQL emission — each entry is written verbatim, so
|
||||
// the caller owns well-formedness — and the auto-generated name uses a hash
|
||||
// suffix instead of a readable column join because expressions aren't valid
|
||||
// identifier fragments.
|
||||
type UniqueIndex struct {
|
||||
TableName TableName
|
||||
ColumnNames []ColumnName
|
||||
Expressions []string
|
||||
name string
|
||||
}
|
||||
|
||||
@@ -87,28 +71,16 @@ func (index *UniqueIndex) Name() string {
|
||||
}
|
||||
b.WriteString(string(column))
|
||||
}
|
||||
|
||||
if len(index.Expressions) > 0 {
|
||||
if len(index.ColumnNames) > 0 {
|
||||
b.WriteString("_")
|
||||
}
|
||||
hasher := fnv.New32a()
|
||||
_, _ = hasher.Write([]byte(strings.Join(index.Expressions, "\x00")))
|
||||
fmt.Fprintf(&b, "%08x", hasher.Sum32())
|
||||
}
|
||||
return b.String()
|
||||
}
|
||||
|
||||
func (index *UniqueIndex) Named(name string) Index {
|
||||
copyOfColumnNames := make([]ColumnName, len(index.ColumnNames))
|
||||
copy(copyOfColumnNames, index.ColumnNames)
|
||||
copyOfExpressions := make([]string, len(index.Expressions))
|
||||
copy(copyOfExpressions, index.Expressions)
|
||||
|
||||
return &UniqueIndex{
|
||||
TableName: index.TableName,
|
||||
ColumnNames: copyOfColumnNames,
|
||||
Expressions: copyOfExpressions,
|
||||
name: name,
|
||||
}
|
||||
}
|
||||
@@ -129,18 +101,7 @@ func (index *UniqueIndex) Equals(other Index) bool {
|
||||
if other.Type() != IndexTypeUnique {
|
||||
return false
|
||||
}
|
||||
otherUnique, ok := other.(*UniqueIndex)
|
||||
if !ok {
|
||||
return false
|
||||
}
|
||||
// Plain and functional indexes produce different SQL even if their column
|
||||
// sets overlap; require both shapes to match.
|
||||
if (len(index.Expressions) == 0) != (len(otherUnique.Expressions) == 0) {
|
||||
return false
|
||||
}
|
||||
if len(index.Expressions) > 0 && !slices.Equal(index.Expressions, otherUnique.Expressions) {
|
||||
return false
|
||||
}
|
||||
|
||||
return index.Name() == other.Name() && slices.Equal(index.Columns(), other.Columns())
|
||||
}
|
||||
|
||||
@@ -153,20 +114,12 @@ func (index *UniqueIndex) ToCreateSQL(fmter SQLFormatter) []byte {
|
||||
sql = fmter.AppendIdent(sql, string(index.TableName))
|
||||
sql = append(sql, " ("...)
|
||||
|
||||
if len(index.Expressions) > 0 {
|
||||
for i, expr := range index.Expressions {
|
||||
if i > 0 {
|
||||
sql = append(sql, ", "...)
|
||||
}
|
||||
sql = append(sql, expr...)
|
||||
}
|
||||
} else {
|
||||
for i, column := range index.ColumnNames {
|
||||
if i > 0 {
|
||||
sql = append(sql, ", "...)
|
||||
}
|
||||
sql = fmter.AppendIdent(sql, string(column))
|
||||
for i, column := range index.ColumnNames {
|
||||
if i > 0 {
|
||||
sql = append(sql, ", "...)
|
||||
}
|
||||
|
||||
sql = fmter.AppendIdent(sql, string(column))
|
||||
}
|
||||
|
||||
sql = append(sql, ")"...)
|
||||
|
||||
@@ -38,43 +38,6 @@ func TestIndexToCreateSQL(t *testing.T) {
|
||||
},
|
||||
sql: `CREATE UNIQUE INDEX IF NOT EXISTS "my_index" ON "users" ("id", "name", "email")`,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_SingleExpression",
|
||||
index: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
},
|
||||
sql: `CREATE UNIQUE INDEX IF NOT EXISTS "uq_users_email_1e5a87f1" ON "users" (LOWER(email))`,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_MixedColumnsAndExpressions",
|
||||
index: &UniqueIndex{
|
||||
TableName: "tag",
|
||||
ColumnNames: []ColumnName{"org_id", "kind", "key", "value"},
|
||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
},
|
||||
sql: `CREATE UNIQUE INDEX IF NOT EXISTS "uq_tag_org_id_kind_key_value_57e8f81f" ON "tag" (org_id, kind, LOWER(key), LOWER(value))`,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_ComplexExpression",
|
||||
index: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"first_name", "last_name"},
|
||||
Expressions: []string{"LOWER(TRIM(first_name) || ' ' || TRIM(last_name))"},
|
||||
},
|
||||
sql: `CREATE UNIQUE INDEX IF NOT EXISTS "uq_users_first_name_last_name_adb1ff53" ON "users" (LOWER(TRIM(first_name) || ' ' || TRIM(last_name)))`,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_Named",
|
||||
index: &UniqueIndex{
|
||||
TableName: "tag",
|
||||
ColumnNames: []ColumnName{"org_id", "kind", "key", "value"},
|
||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
name: "uq_tag_org_kind_lower_key_lower_value",
|
||||
},
|
||||
sql: `CREATE UNIQUE INDEX IF NOT EXISTS "uq_tag_org_kind_lower_key_lower_value" ON "tag" (org_id, kind, LOWER(key), LOWER(value))`,
|
||||
},
|
||||
{
|
||||
name: "PartialUnique_1Column",
|
||||
index: &PartialUniqueIndex{
|
||||
@@ -266,47 +229,6 @@ func TestIndexEquals(t *testing.T) {
|
||||
},
|
||||
equals: false,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_Same",
|
||||
a: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
},
|
||||
b: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
},
|
||||
equals: true,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_DifferentExpressions",
|
||||
a: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
},
|
||||
b: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"UPPER(email)"},
|
||||
},
|
||||
equals: false,
|
||||
},
|
||||
{
|
||||
name: "Unique_Functional_NotEqualToPlainSameColumns",
|
||||
a: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
},
|
||||
b: &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
},
|
||||
equals: false,
|
||||
},
|
||||
}
|
||||
|
||||
for _, testCase := range testCases {
|
||||
@@ -316,75 +238,6 @@ func TestIndexEquals(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
func TestUniqueIndexFunctionalName(t *testing.T) {
|
||||
t.Run("autogen uses uq_<table>_<hash>", func(t *testing.T) {
|
||||
idx := &UniqueIndex{
|
||||
TableName: "tag",
|
||||
ColumnNames: []ColumnName{"org_id", "kind", "key", "value"},
|
||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
}
|
||||
assert.Equal(t, "uq_tag_org_id_kind_key_value_57e8f81f", idx.Name())
|
||||
})
|
||||
|
||||
t.Run("same expressions produce the same name", func(t *testing.T) {
|
||||
a := &UniqueIndex{
|
||||
TableName: "users",
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
}
|
||||
b := &UniqueIndex{
|
||||
TableName: "users",
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
}
|
||||
assert.Equal(t, a.Name(), b.Name())
|
||||
})
|
||||
|
||||
t.Run("different expressions produce different names", func(t *testing.T) {
|
||||
a := &UniqueIndex{
|
||||
TableName: "users",
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
}
|
||||
b := &UniqueIndex{
|
||||
TableName: "users",
|
||||
Expressions: []string{"UPPER(email)"},
|
||||
}
|
||||
assert.NotEqual(t, a.Name(), b.Name())
|
||||
})
|
||||
|
||||
t.Run("expressions in different order produce different names", func(t *testing.T) {
|
||||
a := &UniqueIndex{
|
||||
TableName: "tag",
|
||||
Expressions: []string{"org_id", "LOWER(key)"},
|
||||
}
|
||||
b := &UniqueIndex{
|
||||
TableName: "tag",
|
||||
Expressions: []string{"LOWER(key)", "org_id"},
|
||||
}
|
||||
assert.NotEqual(t, a.Name(), b.Name())
|
||||
})
|
||||
|
||||
t.Run("functional autogen differs from plain autogen for same columns", func(t *testing.T) {
|
||||
plain := &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
}
|
||||
functional := &UniqueIndex{
|
||||
TableName: "users",
|
||||
ColumnNames: []ColumnName{"email"},
|
||||
Expressions: []string{"LOWER(email)"},
|
||||
}
|
||||
assert.Equal(t, "uq_users_email", plain.Name())
|
||||
assert.NotEqual(t, plain.Name(), functional.Name())
|
||||
})
|
||||
|
||||
t.Run("Named() override wins over hash", func(t *testing.T) {
|
||||
idx := (&UniqueIndex{
|
||||
TableName: "tag",
|
||||
Expressions: []string{"org_id", "LOWER(key)"},
|
||||
}).Named("my_functional_index")
|
||||
assert.Equal(t, "my_functional_index", idx.Name())
|
||||
})
|
||||
}
|
||||
|
||||
func TestPartialUniqueIndexName(t *testing.T) {
|
||||
a := &PartialUniqueIndex{
|
||||
TableName: "users",
|
||||
|
||||
@@ -1,111 +0,0 @@
|
||||
package sqlitesqlschema
|
||||
|
||||
import (
|
||||
"context"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
|
||||
"github.com/SigNoz/signoz/pkg/sqlschema"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore"
|
||||
"github.com/SigNoz/signoz/pkg/sqlstore/sqlitesqlstore"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
// findSignozDB walks up from the test's working directory looking for a
|
||||
// signoz.db file (the one the community server creates at the repo root).
|
||||
func findSignozDB(t *testing.T) string {
|
||||
t.Helper()
|
||||
|
||||
dir, err := os.Getwd()
|
||||
require.NoError(t, err)
|
||||
|
||||
for {
|
||||
candidate := filepath.Join(dir, "signoz.db")
|
||||
if _, err := os.Stat(candidate); err == nil {
|
||||
return candidate
|
||||
}
|
||||
|
||||
parent := filepath.Dir(dir)
|
||||
if parent == dir {
|
||||
return ""
|
||||
}
|
||||
dir = parent
|
||||
}
|
||||
}
|
||||
|
||||
// TestSignozDBTagUniqueIndex inspects the real signoz.db produced by running the
|
||||
// community server and verifies the functional unique index added by migration
|
||||
// 094 on the "tag" table.
|
||||
//
|
||||
// - "MigrationCreatedIndex" is the ground-truth check: it reads the index DDL
|
||||
// straight out of sqlite_master and confirms the functional unique index
|
||||
// physically exists. This proves the migration ran and sqlite accepted it.
|
||||
// - "GetIndicesRoundTrip" exercises the engine's GetIndices read-back path and
|
||||
// checks it reconstructs the same index. This is the part your colleague
|
||||
// asked about.
|
||||
func TestSignozDBTagUniqueIndex(t *testing.T) {
|
||||
dbPath := findSignozDB(t)
|
||||
if dbPath == "" {
|
||||
t.Skip("signoz.db not found; start the community server first so it creates the file and runs migrations")
|
||||
}
|
||||
t.Logf("using signoz.db at %s", dbPath)
|
||||
|
||||
ctx := context.Background()
|
||||
cfg := sqlstore.Config{
|
||||
Provider: "sqlite",
|
||||
Sqlite: sqlstore.SqliteConfig{
|
||||
Path: dbPath,
|
||||
Mode: "wal",
|
||||
BusyTimeout: 10 * time.Second,
|
||||
TransactionMode: "deferred",
|
||||
},
|
||||
Connection: sqlstore.ConnectionConfig{MaxOpenConns: 10},
|
||||
}
|
||||
|
||||
providerSettings := instrumentationtest.New().ToProviderSettings()
|
||||
store, err := sqlitesqlstore.New(ctx, providerSettings, cfg)
|
||||
require.NoError(t, err)
|
||||
|
||||
schema, err := New(ctx, providerSettings, sqlschema.Config{}, store)
|
||||
require.NoError(t, err)
|
||||
|
||||
expected := &sqlschema.UniqueIndex{
|
||||
TableName: "tag",
|
||||
ColumnNames: []sqlschema.ColumnName{"org_id", "kind", "key", "value"},
|
||||
Expressions: []string{"org_id", "kind", "LOWER(key)", "LOWER(value)"},
|
||||
}
|
||||
|
||||
t.Run("MigrationCreatedIndex", func(t *testing.T) {
|
||||
var ddl string
|
||||
err := store.
|
||||
BunDB().
|
||||
NewRaw("SELECT sql FROM sqlite_master WHERE type = 'index' AND tbl_name = 'tag' AND name = ?", expected.Name()).
|
||||
Scan(ctx, &ddl)
|
||||
require.NoError(t, err, "expected unique index %q to exist in signoz.db", expected.Name())
|
||||
t.Logf("stored DDL: %s", ddl)
|
||||
|
||||
require.Contains(t, ddl, "UNIQUE")
|
||||
require.Contains(t, ddl, "LOWER(key)")
|
||||
require.Contains(t, ddl, "LOWER(value)")
|
||||
})
|
||||
|
||||
t.Run("GetIndicesRoundTrip", func(t *testing.T) {
|
||||
indices, err := schema.GetIndices(ctx, "tag")
|
||||
require.NoError(t, err)
|
||||
|
||||
t.Logf("GetIndices returned %d indices", len(indices))
|
||||
var got sqlschema.Index
|
||||
for _, idx := range indices {
|
||||
t.Logf(" name=%q type=%s columns=%v create=%s", idx.Name(), idx.Type(), idx.Columns(), string(idx.ToCreateSQL(schema.Formatter())))
|
||||
if idx.Name() == expected.Name() {
|
||||
got = idx
|
||||
}
|
||||
}
|
||||
|
||||
require.NotNil(t, got, "GetIndices did not return the functional unique index %q", expected.Name())
|
||||
require.True(t, expected.Equals(got), "round-tripped index should equal the original definition")
|
||||
})
|
||||
}
|
||||
@@ -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
|
||||
}
|
||||
|
||||
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.
|
||||
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}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_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.memory_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.memory_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.memory_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.memory_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.memory_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}
|
||||
{"metric_name":"k8s.pod.phase","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":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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-p2-uid","k8s.pod.name":"done-p2","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}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p2-uid","k8s.pod.name":"done-p2","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.memory_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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.memory_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p2-uid","k8s.pod.name":"done-p2","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.pod.phase","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","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.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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-p3-uid","k8s.pod.name":"done-p3","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}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p3-uid","k8s.pod.name":"done-p3","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.memory_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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.memory_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","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":"done-p3-uid","k8s.pod.name":"done-p3","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.pod.phase","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","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.active_pods","labels":{"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,"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":"2025-01-10T10:00:00+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":"2025-01-10T10:00:00+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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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":"2025-01-10T10:02:00+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}
|
||||
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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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||||
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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.cpu_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_limit_utilization", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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": 0.3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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-p1-uid", "k8s.pod.name": "cron-b-dev-acc-1-p1", "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.pod.cpu.usage", "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": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "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.cpu.usage", "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.cpu_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": "2025-01-10T10:00:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "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.cpu_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.cpu_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.cpu_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.cpu_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.memory.working_set", "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": 200000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "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": 200000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory.working_set", "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": 200000000.0, "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": "2025-01-10T10:00:00+00:00", "value": 0.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.memory_request_utilization", "labels": {"k8s.pod.uid": "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}
|
||||
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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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||||
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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_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}
|
||||
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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_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}
|
||||
{"metric_name":"k8s.pod.cpu_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_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.memory_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.memory_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}
|
||||
{"metric_name":"k8s.pod.memory_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_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":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"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":9.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"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":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"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":9.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"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":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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":2.0,"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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|
||||
{"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}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","k8s.namespace.name":"ns-page","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.usage","labels":{"k8s.pod.uid":"page-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","k8s.namespace.name":"ns-page","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.usage","labels":{"k8s.pod.uid":"page-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","k8s.namespace.name":"ns-page","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.cpu_request_utilization","labels":{"k8s.pod.uid":"page-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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-2-p1-uid","k8s.pod.name":"page-2-p1","k8s.job.name":"page-job-2","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}
|
||||
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|
||||
{"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}
|
||||
{"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":"2025-01-10T10:04:00+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-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.memory_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.memory_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.memory_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.memory_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.memory_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.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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-succ-1-uid","k8s.pod.name":"pp-succ-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}
|
||||
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|
||||
{"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}
|
||||
{"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":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_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.memory_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.memory_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.memory_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.memory_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.memory_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.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p2-uid","k8s.pod.name":"acc-1-p2","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":200000000.0,"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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|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","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.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","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.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","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":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","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.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","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.active_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-job-2","k8s.namespace.name":"ns-acc","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.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-job-2","k8s.namespace.name":"ns-acc","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.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-job-2","k8s.namespace.name":"ns-acc","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.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","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":"acc-job-2","k8s.namespace.name":"ns-acc","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.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
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
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}"
|
||||
Reference in New Issue
Block a user