fix: adding missing response writer in error

.github/workflows/integrationci.yaml

@@ -43,7 +43,6 @@ jobs:
           - cloudintegrations
           - dashboard
           - ingestionkeys
-          - inframonitoring
           - logspipelines
           - passwordauthn
           - preference

deploy/docker-swarm/docker-compose.ha.yaml

@@ -190,7 +190,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.127.0
+    image: signoz/signoz:v0.126.1
     ports:
       - "8080:8080" # signoz port
     #   - "6060:6060"     # pprof port
@@ -213,7 +213,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.5
+    image: signoz/signoz-otel-collector:v0.144.4
     entrypoint:
       - /bin/sh
     command:
@@ -241,7 +241,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.5
+    image: signoz/signoz-otel-collector:v0.144.4
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker-swarm/docker-compose.yaml

@@ -117,7 +117,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.127.0
+    image: signoz/signoz:v0.126.1
     ports:
       - "8080:8080" # signoz port
     volumes:
@@ -139,7 +139,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.5
+    image: signoz/signoz-otel-collector:v0.144.4
     entrypoint:
       - /bin/sh
     command:
@@ -167,7 +167,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.5
+    image: signoz/signoz-otel-collector:v0.144.4
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker/docker-compose.ha.yaml

@@ -181,7 +181,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.127.0}
+    image: signoz/signoz:${VERSION:-v0.126.1}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -204,7 +204,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -229,7 +229,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

deploy/docker/docker-compose.yaml

@@ -109,7 +109,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.127.0}
+    image: signoz/signoz:${VERSION:-v0.126.1}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -132,7 +132,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -157,7 +157,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

docs/api/openapi.yml

@@ -8028,6 +8028,64 @@ paths:
       summary: Update account
       tags:
       - cloudintegration
+  /api/v1/cloud_integrations/{cloud_provider}/accounts/{id}/services:
+    get:
+      deprecated: false
+      description: This endpoint lists the services metadata for the specified account
+        and cloud provider
+      operationId: ListAccountServicesMetadata
+      parameters:
+      - in: path
+        name: cloud_provider
+        required: true
+        schema:
+          type: string
+      - in: path
+        name: id
+        required: true
+        schema:
+          type: string
+      responses:
+        "200":
+          content:
+            application/json:
+              schema:
+                properties:
+                  data:
+                    $ref: '#/components/schemas/CloudintegrationtypesGettableServicesMetadata'
+                  status:
+                    type: string
+                required:
+                - status
+                - data
+                type: object
+          description: OK
+        "401":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Unauthorized
+        "403":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Forbidden
+        "500":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Internal Server Error
+      security:
+      - api_key:
+        - ADMIN
+      - tokenizer:
+        - ADMIN
+      summary: List account services metadata
+      tags:
+      - cloudintegration
   /api/v1/cloud_integrations/{cloud_provider}/accounts/{id}/services/{service_id}:
     put:
       deprecated: false

frontend/src/api/v5/queryRange/convertV5Response.ts

@@ -349,7 +349,7 @@ function convertV5DataByType(
  */
 // eslint-disable-next-line sonarjs/cognitive-complexity
 export function convertV5ResponseToLegacy(
-	v5Response: SuccessResponse<MetricRangePayloadV5, QueryRangeRequestV5>,
+	v5Response: SuccessResponse<MetricRangePayloadV5>,
 	legendMap: Record<string, string>,
 	formatForWeb?: boolean,
 ): SuccessResponse<MetricRangePayloadV3> & { warning?: Warning } {
@@ -357,7 +357,7 @@ export function convertV5ResponseToLegacy(
 	const v5Data = payload?.data;
 
 	const aggregationPerQuery =
-		params?.compositeQuery?.queries
+		(params as QueryRangeRequestV5)?.compositeQuery?.queries
 			?.filter((query) => query.type === 'builder_query')
 			.reduce(
 				(acc, query) => {

frontend/src/container/DashboardContainer/visualization/hooks/__tests__/usePanelContextMenu.test.ts

@@ -1,7 +1,8 @@
 import { renderHook } from '@testing-library/react';
 import { UseQueryResult } from 'react-query';
+import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 
 import { usePanelContextMenu } from '../usePanelContextMenu';
 
@@ -46,7 +47,10 @@ const mockWidget = { id: 'w-1', query: {} } as unknown as Widgets;
 const mockQueryResponse = {
 	data: undefined,
 	isLoading: false,
-} as unknown as UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+} as unknown as UseQueryResult<
+	SuccessResponse<MetricRangePayloadProps, unknown>,
+	Error
+>;
 
 describe('usePanelContextMenu', () => {
 	beforeEach(() => {

frontend/src/container/DashboardContainer/visualization/hooks/usePanelContextMenu.ts

@@ -10,13 +10,17 @@ import {
 	PopoverPosition,
 	useCoordinates,
 } from 'periscope/components/ContextMenu';
+import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { DataSource } from 'types/common/queryBuilder';
 
 interface UseTimeSeriesContextMenuParams {
 	widget: Widgets;
-	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryResponse: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 	enableDrillDown?: boolean;
 }
 

frontend/src/container/GridCardLayout/GridCard/types.ts

@@ -5,11 +5,9 @@ import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import { RowData } from 'lib/query/createTableColumnsFromQuery';
 import { OnClickPluginOpts } from 'lib/uPlotLib/plugins/onClickPlugin';
 import { IDashboardVariables } from 'providers/Dashboard/store/dashboardVariables/dashboardVariablesStoreTypes';
+import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import {
-	MetricQueryRangeSuccessResponse,
-	MetricRangePayloadProps,
-} from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { QueryData } from 'types/api/widgets/getQuery';
 import uPlot from 'uplot';
 
@@ -23,7 +21,10 @@ export interface GraphVisibilityLegendEntryProps {
 
 export interface WidgetGraphComponentProps {
 	widget: Widgets;
-	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryResponse: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 	errorMessage: string | undefined;
 	version?: string;
 	threshold?: ReactNode;

frontend/src/container/GridValueComponent/types.ts

@@ -1,7 +1,8 @@
 import { UseQueryResult } from 'react-query';
 import { ThresholdProps } from 'container/NewWidget/RightContainer/Threshold/types';
+import { SuccessResponse } from 'types/api';
 import { ContextLinksData, Widgets } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import uPlot from 'uplot';
 
 export type GridValueComponentProps = {
@@ -12,7 +13,10 @@ export type GridValueComponentProps = {
 	thresholds?: ThresholdProps[];
 	// Context menu related props
 	widget?: Widgets;
-	queryResponse?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryResponse?: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 	contextLinks?: ContextLinksData;
 	enableDrillDown?: boolean;
 };

frontend/src/container/NewWidget/LeftContainer/WidgetGraph/WidgetGraphs.tsx

@@ -28,8 +28,9 @@ import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import GetMinMax from 'lib/getMinMax';
 import getTimeString from 'lib/getTimeString';
 import { UpdateTimeInterval } from 'store/actions';
+import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { DataSource } from 'types/common/queryBuilder';
 
 function WidgetGraph({
@@ -201,7 +202,10 @@ function WidgetGraph({
 
 interface WidgetGraphProps {
 	selectedWidget: Widgets;
-	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryResponse: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	selectedGraph: PANEL_TYPES;
 	enableDrillDown?: boolean;

frontend/src/container/NewWidget/LeftContainer/WidgetGraph/util.ts

@@ -1,12 +1,11 @@
-import { QueryRangeRequestV5 } from 'api/v5/v5';
 import { SuccessResponse } from 'types/api';
 import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { Column, QueryData, QueryDataV3 } from 'types/api/widgets/getQuery';
 
 // eslint-disable-next-line sonarjs/cognitive-complexity
 export function populateMultipleResults(
-	responseData: SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5>,
-): SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5> {
+	responseData: SuccessResponse<MetricRangePayloadProps, unknown>,
+): SuccessResponse<MetricRangePayloadProps, unknown> {
 	const queryResults = responseData?.payload?.data?.newResult?.data?.result;
 	const allFormattedResults: QueryData[] = [];
 
@@ -67,19 +66,17 @@ export function populateMultipleResults(
 	}
 
 	// Create a copy instead of mutating the original
-	const updatedResponseData: SuccessResponse<
-		MetricRangePayloadProps,
-		QueryRangeRequestV5
-	> = {
-		...responseData,
-		payload: {
-			...responseData.payload,
-			data: {
-				...responseData.payload.data,
-				result: allFormattedResults,
+	const updatedResponseData: SuccessResponse<MetricRangePayloadProps, unknown> =
+		{
+			...responseData,
+			payload: {
+				...responseData.payload,
+				data: {
+					...responseData.payload.data,
+					result: allFormattedResults,
+				},
 			},
-		},
-	};
+		};
 
 	return updatedResponseData;
 }

frontend/src/container/NewWidget/index.tsx

@@ -52,6 +52,7 @@ import {
 	getSelectedWidgetIndex,
 } from 'providers/Dashboard/util';
 import { AppState } from 'store/reducers';
+import { SuccessResponse } from 'types/api';
 import {
 	ColumnUnit,
 	ContextLinksData,
@@ -60,7 +61,7 @@ import {
 } from 'types/api/dashboard/getAll';
 import { Props } from 'types/api/dashboard/update';
 import { IField } from 'types/api/logs/fields';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { EQueryType } from 'types/common/dashboard';
 import { DataSource } from 'types/common/queryBuilder';
 import { GlobalReducer } from 'types/reducer/globalTime';
@@ -397,7 +398,7 @@ function NewWidget({
 
 	// State to hold query response for sharing between left and right containers
 	const [queryResponse, setQueryResponse] = useState<
-		UseQueryResult<MetricQueryRangeSuccessResponse, Error>
+		UseQueryResult<SuccessResponse<MetricRangePayloadProps, unknown>, Error>
 	>(null as any);
 
 	// request data should be handled by the parent and the child components should consume the same

frontend/src/container/NewWidget/types.ts

@@ -2,8 +2,9 @@ import { Dispatch, SetStateAction } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
+import { SuccessResponse, Warning } from 'types/api';
 import { Dashboard, Widgets } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 
 import { timePreferance } from './RightContainer/timeItems';
 
@@ -28,7 +29,9 @@ export interface WidgetGraphProps {
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	isLoadingPanelData: boolean;
 	setQueryResponse?: Dispatch<
-		SetStateAction<UseQueryResult<MetricQueryRangeSuccessResponse, Error>>
+		SetStateAction<
+			UseQueryResult<SuccessResponse<MetricRangePayloadProps, unknown>, Error>
+		>
 	>;
 	enableDrillDown?: boolean;
 	dashboardData: Dashboard | undefined;
@@ -36,7 +39,12 @@ export interface WidgetGraphProps {
 }
 
 export type WidgetGraphContainerProps = {
-	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryResponse: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown> & {
+			warning?: Warning;
+		},
+		Error
+	>;
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	selectedGraph: PANEL_TYPES;
 	selectedWidget: Widgets;

frontend/src/container/PanelWrapper/TablePanelWrapper.tsx

@@ -1,6 +1,7 @@
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import GridTableComponent from 'container/GridTableComponent';
 import { GRID_TABLE_CONFIG } from 'container/GridTableComponent/config';
+import { QueryRangeRequestV5 } from 'types/api/v5/queryRange';
 
 import { PanelWrapperProps } from './panelWrapper.types';
 
@@ -19,7 +20,7 @@ function TablePanelWrapper({
 		(queryResponse.data?.payload?.data?.result?.[0] as any)?.table || [];
 	const { thresholds } = widget;
 
-	const queryRangeRequest = queryResponse.data?.params;
+	const queryRangeRequest = queryResponse.data?.params as QueryRangeRequestV5;
 
 	return (
 		<GridTableComponent

frontend/src/container/QueryTable/Drilldown/useAggregateDrilldown.tsx

@@ -2,8 +2,9 @@ import { useMemo } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import useDashboardVarConfig from 'container/QueryTable/Drilldown/useDashboardVarConfig';
+import { SuccessResponse } from 'types/api';
 import { ContextLinksData } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { getTimeRange } from 'utils/getTimeRange';
 
@@ -43,7 +44,10 @@ const useAggregateDrilldown = ({
 	aggregateData: AggregateData | null;
 	contextLinks?: ContextLinksData;
 	panelType?: PANEL_TYPES;
-	queryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryRange?: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 }): {
 	aggregateDrilldownConfig: {
 		header?: string | React.ReactNode;

frontend/src/container/QueryTable/Drilldown/useGraphContextMenu.tsx

@@ -2,8 +2,9 @@ import { useMemo } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { useGetCompositeQueryParam } from 'hooks/queryBuilder/useGetCompositeQueryParam';
+import { SuccessResponse } from 'types/api';
 import { ContextLinksData } from 'types/api/dashboard/getAll';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 
 import { isValidQueryName } from './drilldownUtils';
@@ -19,7 +20,10 @@ interface UseGraphContextMenuProps {
 	setSubMenu: (subMenu: string) => void;
 	contextLinks?: ContextLinksData;
 	panelType?: PANEL_TYPES;
-	queryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
+	queryRange?: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>;
 }
 
 export function useGraphContextMenu({

frontend/src/hooks/queryBuilder/useGetExplorerQueryRange.ts

@@ -7,7 +7,8 @@ import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
 import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import { AppState } from 'store/reducers';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { SuccessResponse, Warning } from 'types/api';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { GlobalReducer } from 'types/reducer/globalTime';
 
@@ -18,13 +19,16 @@ export const useGetExplorerQueryRange = (
 	requestData: Query | null,
 	panelType: PANEL_TYPES | null,
 	version: string,
-	options?: UseQueryOptions<MetricQueryRangeSuccessResponse, Error>,
+	options?: UseQueryOptions<SuccessResponse<MetricRangePayloadProps>, Error>,
 	params?: Record<string, unknown>,
 	isDependentOnQB = true,
 	keyRef?: MutableRefObject<any>,
 	headers?: Record<string, string>,
 	selectedTimeInterval?: GetQueryResultsProps['globalSelectedInterval'],
-): UseQueryResult<MetricQueryRangeSuccessResponse, Error> => {
+): UseQueryResult<
+	SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
+	Error
+> => {
 	const { isEnabledQuery } = useQueryBuilder();
 	const {
 		selectedTime: globalSelectedInterval,

frontend/src/types/api/metrics/getQueryRange.ts

@@ -8,7 +8,7 @@ import {
 	IClickHouseQuery,
 	IPromQLQuery,
 } from '../queryBuilder/queryBuilderData';
-import { ExecStats, QueryRangeRequestV5 } from '../v5/queryRange';
+import { ExecStats } from '../v5/queryRange';
 import { QueryData, QueryDataV3 } from '../widgets/getQuery';
 
 export type QueryRangePayload = {
@@ -39,16 +39,11 @@ export interface MetricRangePayloadProps {
 	meta?: ExecStats;
 }
 
-/** Query range success response. `params` is the request that produced the
- *  payload; `warning` and `meta` are lifted from the payload to the top level
- *  by `getQueryResults.ts` for consumer convenience. */
-export interface MetricQueryRangeSuccessResponse extends SuccessResponse<
+/** Query range success response including optional warning and meta */
+export type MetricQueryRangeSuccessResponse = SuccessResponse<
 	MetricRangePayloadProps,
-	QueryRangeRequestV5
-> {
-	warning?: Warning;
-	meta?: ExecStats;
-}
+	unknown
+> & { warning?: Warning; meta?: ExecStats };
 
 export interface MetricRangePayloadV3 {
 	data: {

frontend/src/utils/getTimeRange.ts

@@ -1,7 +1,8 @@
 import { UseQueryResult } from 'react-query';
 import getStartEndRangeTime from 'lib/getStartEndRangeTime';
 import store from 'store';
-import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
+import { SuccessResponse } from 'types/api';
+import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { QueryRangeRequestV5 } from 'types/api/v5/queryRange';
 
 export const getTimeRangeFromQueryRangeRequest = (
@@ -27,9 +28,13 @@ export const getTimeRangeFromQueryRangeRequest = (
 };
 
 export const getTimeRange = (
-	widgetQueryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>,
+	widgetQueryRange?: UseQueryResult<
+		SuccessResponse<MetricRangePayloadProps, unknown>,
+		Error
+	>,
 ): Record<string, number> => {
-	const widgetParams = widgetQueryRange?.data?.params;
+	const widgetParams =
+		(widgetQueryRange?.data?.params as QueryRangeRequestV5) || null;
 
 	return getTimeRangeFromQueryRangeRequest(widgetParams);
 };

pkg/apiserver/signozapiserver/cloudintegration.go

@@ -151,6 +151,26 @@ func (provider *provider) addCloudIntegrationRoutes(router *mux.Router) error {
 		return err
 	}
 
+	if err := router.Handle("/api/v1/cloud_integrations/{cloud_provider}/accounts/{id}/services", handler.New(
+		provider.authzMiddleware.AdminAccess(provider.cloudIntegrationHandler.ListAccountServicesMetadata),
+		handler.OpenAPIDef{
+			ID:                  "ListAccountServicesMetadata",
+			Tags:                []string{"cloudintegration"},
+			Summary:             "List account services metadata",
+			Description:         "This endpoint lists the services metadata for the specified account and cloud provider",
+			Request:             nil,
+			RequestContentType:  "",
+			Response:            new(citypes.GettableServicesMetadata),
+			ResponseContentType: "application/json",
+			SuccessStatusCode:   http.StatusOK,
+			ErrorStatusCodes:    []int{},
+			Deprecated:          false,
+			SecuritySchemes:     newSecuritySchemes(types.RoleAdmin),
+		},
+	)).Methods(http.MethodGet).GetError(); err != nil {
+		return err
+	}
+
 	if err := router.Handle("/api/v1/cloud_integrations/{cloud_provider}/services/{service_id}", handler.New(
 		provider.authzMiddleware.AdminAccess(provider.cloudIntegrationHandler.GetService),
 		handler.OpenAPIDef{

pkg/modules/cloudintegration/cloudintegration.go

@@ -75,6 +75,7 @@ type Handler interface {
 	UpdateAccount(http.ResponseWriter, *http.Request)
 	DisconnectAccount(http.ResponseWriter, *http.Request)
 	ListServicesMetadata(http.ResponseWriter, *http.Request)
+	ListAccountServicesMetadata(http.ResponseWriter, *http.Request)
 	GetService(http.ResponseWriter, *http.Request)
 	UpdateService(http.ResponseWriter, *http.Request)
 	AgentCheckIn(http.ResponseWriter, *http.Request)

pkg/modules/cloudintegration/implcloudintegration/handler.go

@@ -276,6 +276,44 @@ func (handler *handler) ListServicesMetadata(rw http.ResponseWriter, r *http.Req
 	render.Success(rw, http.StatusOK, cloudintegrationtypes.NewGettableServicesMetadata(services))
 }
 
+func (handler *handler) ListAccountServicesMetadata(rw http.ResponseWriter, r *http.Request) {
+	ctx, cancel := context.WithTimeout(r.Context(), 10*time.Second)
+	defer cancel()
+
+	claims, err := authtypes.ClaimsFromContext(ctx)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	provider, err := cloudintegrationtypes.NewCloudProvider(mux.Vars(r)["cloud_provider"])
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	accountID, err := valuer.NewUUID(mux.Vars(r)["id"])
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	// check if integration account exists and is not removed.
+	_, err = handler.module.GetConnectedAccount(ctx, valuer.MustNewUUID(claims.OrgID), accountID, provider)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	services, err := handler.module.ListServicesMetadata(ctx, valuer.MustNewUUID(claims.OrgID), provider, accountID)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	render.Success(rw, http.StatusOK, cloudintegrationtypes.NewGettableServicesMetadata(services))
+}
+
 func (handler *handler) GetService(rw http.ResponseWriter, r *http.Request) {
 	ctx, cancel := context.WithTimeout(r.Context(), 10*time.Second)
 	defer cancel()
@@ -440,4 +478,3 @@ func (handler *handler) AgentCheckIn(rw http.ResponseWriter, r *http.Request) {
 
 	render.Success(rw, http.StatusOK, cloudintegrationtypes.NewGettableAgentCheckIn(provider, resp))
 }
-

tests/integration/testdata/inframonitoring/clusters_filter_dataset.jsonl

@@ -1,144 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-gcp-prod-uid","k8s.pod.name":"pod-web-gcp-prod","k8s.namespace.name":"ns-x","k8s.node.name":"node-web-gcp-prod","k8s.cluster.name":"web-gcp-prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-gcp-prod-uid","k8s.pod.name":"pod-web-gcp-prod","k8s.namespace.name":"ns-x","k8s.node.name":"node-web-gcp-prod","k8s.cluster.name":"web-gcp-prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-gcp-prod-uid","k8s.pod.name":"pod-web-gcp-prod","k8s.namespace.name":"ns-x","k8s.node.name":"node-web-gcp-prod","k8s.cluster.name":"web-gcp-prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-dev","k8s.node.uid":"node-web-gcp-dev-uid","k8s.cluster.name":"web-gcp-dev","cloud.provider":"gcp","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-gcp-dev-uid","k8s.pod.name":"pod-web-gcp-dev","k8s.namespace.name":"ns-x","k8s.node.name":"node-web-gcp-dev","k8s.cluster.name":"web-gcp-dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/clusters_groupby.jsonl

@@ -1,72 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_happy_path.jsonl

@@ -1,84 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_missing_metrics.jsonl

@@ -1,3 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_node_readiness.jsonl

@@ -1,78 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_orderby.jsonl

@@ -1,90 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_pagination.jsonl

@@ -1,126 +0,0 @@
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-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/clusters_pod_phases.jsonl

@@ -1,36 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"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.node.cpu.usage","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_value_accuracy.jsonl

@@ -1,90 +0,0 @@
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tests/integration/testdata/inframonitoring/clusters_value_accuracy_expected.json

@@ -1,40 +0,0 @@
-{
-  "records": [
-    {
-      "clusterName": "acc-cluster-1",
-      "clusterCPU": 1.0,
-      "clusterCPUAllocatable": 8.0,
-      "clusterMemory": 2000000000.0,
-      "clusterMemoryAllocatable": 16000000000.0,
-      "nodeCountsByReadiness": {
-        "ready": 2,
-        "notReady": 0
-      },
-      "podCountsByPhase": {
-        "pending": 0,
-        "running": 2,
-        "succeeded": 0,
-        "failed": 0,
-        "unknown": 0
-      }
-    },
-    {
-      "clusterName": "acc-cluster-2",
-      "clusterCPU": 3.0,
-      "clusterCPUAllocatable": 24.0,
-      "clusterMemory": 6000000000.0,
-      "clusterMemoryAllocatable": 48000000000.0,
-      "nodeCountsByReadiness": {
-        "ready": 3,
-        "notReady": 0
-      },
-      "podCountsByPhase": {
-        "pending": 0,
-        "running": 3,
-        "succeeded": 0,
-        "failed": 0,
-        "unknown": 0
-      }
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/hosts_filter_dataset.jsonl

@@ -1,84 +0,0 @@
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-{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
-{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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tests/integration/testdata/inframonitoring/hosts_happy_path.jsonl

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tests/integration/testdata/inframonitoring/hosts_missing_metrics.jsonl

@@ -1,12 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_orderby.jsonl

@@ -1,120 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_pagination.jsonl

@@ -1,147 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_status.jsonl

@@ -1,42 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_value_accuracy.jsonl

@@ -1,72 +0,0 @@
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-{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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tests/integration/testdata/inframonitoring/hosts_value_accuracy_expected.json

@@ -1,20 +0,0 @@
-{
-  "records": [
-    {
-      "hostName": "acc-h1",
-      "cpu": 0.4444444444444445,
-      "memory": 0.205,
-      "wait": 0.027777777777777776,
-      "load15": 1.525,
-      "diskUsage": 0.48095238095238096
-    },
-    {
-      "hostName": "acc-h2",
-      "cpu": 0.3846153846153845,
-      "memory": 0.3125,
-      "wait": 0.015384615384615384,
-      "load15": 2.025,
-      "diskUsage": 0.6714285714285714
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/namespaces_filter_dataset.jsonl

@@ -1,72 +0,0 @@
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","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":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","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":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-web-a-dev-uid","k8s.pod.name":"pod-web-a-dev","k8s.namespace.name":"web-a-dev","k8s.cluster.name":"cluster-a","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_groupby.jsonl

@@ -1,36 +0,0 @@
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_happy_path.jsonl

@@ -1,36 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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.phase","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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.phase","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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.phase","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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.phase","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","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":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","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-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","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-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_orderby.jsonl

@@ -1,45 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","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.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","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.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","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.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_pagination.jsonl

@@ -1,63 +0,0 @@
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tests/integration/testdata/inframonitoring/namespaces_pod_phases.jsonl

@@ -1,63 +0,0 @@
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"pp-ns","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.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy.jsonl

@@ -1,45 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"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-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_value_accuracy_expected.json

@@ -1,16 +0,0 @@
-{
-  "records": [
-    {
-      "namespaceName": "acc-ns-1",
-      "namespaceCPU": 1.0,
-      "namespaceMemory": 200000000.0,
-      "podCountsByPhase": {"pending": 0, "running": 2, "succeeded": 0, "failed": 0, "unknown": 0}
-    },
-    {
-      "namespaceName": "acc-ns-2",
-      "namespaceCPU": 2.25,
-      "namespaceMemory": 600000000.0,
-      "podCountsByPhase": {"pending": 0, "running": 3, "succeeded": 0, "failed": 0, "unknown": 0}
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/nodes_conditions.jsonl

@@ -1,33 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","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.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"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":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"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":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -1,54 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_conditions_transition.jsonl

@@ -1,18 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_filter_dataset.jsonl

@@ -1,144 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_groupby.jsonl

@@ -1,72 +0,0 @@
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-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","k8s.cluster.name":"gb-cluster-b"},"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":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_happy_path.jsonl

@@ -1,42 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.node.condition_ready","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.node.condition_ready","labels":{"k8s.node.name":"happy-n1","k8s.node.uid":"happy-n1-uid","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.phase","labels":{"k8s.pod.uid":"happy-pod-1a-uid","k8s.pod.name":"happy-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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":"happy-pod-1a-uid","k8s.pod.name":"happy-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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":"happy-pod-1a-uid","k8s.pod.name":"happy-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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.phase","labels":{"k8s.pod.uid":"happy-pod-1b-uid","k8s.pod.name":"happy-pod-1b","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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":"happy-pod-1b-uid","k8s.pod.name":"happy-pod-1b","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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":"happy-pod-1b-uid","k8s.pod.name":"happy-pod-1b","k8s.namespace.name":"ns-a","k8s.node.name":"happy-n1","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.node.cpu.usage","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.node.cpu.usage","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.node.cpu.usage","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","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.phase","labels":{"k8s.pod.uid":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","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":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","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":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","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.phase","labels":{"k8s.pod.uid":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","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":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","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":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_no_pods.jsonl

@@ -1,18 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","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.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_orderby.jsonl

@@ -1,78 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

@@ -1,108 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_pod_phases.jsonl

@@ -1,30 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","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-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy.jsonl

@@ -1,36 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","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.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","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-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","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-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","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.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"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-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"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-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy_expected.json

@@ -1,24 +0,0 @@
-{
-  "records": [
-    {
-      "nodeName": "acc-n1",
-      "nodeCPU": 1.0,
-      "nodeCPUAllocatable": 4.0,
-      "nodeMemory": 2000000000.0,
-      "nodeMemoryAllocatable": 8000000000.0,
-      "condition": "ready",
-      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    },
-    {
-      "nodeName": "acc-n2",
-      "nodeCPU": 3.0,
-      "nodeCPUAllocatable": 16.0,
-      "nodeMemory": 4000000000.0,
-      "nodeMemoryAllocatable": 32000000000.0,
-      "condition": "ready",
-      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/pods_filter_dataset.jsonl

@@ -1,168 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"fp-web-prod-1-uid","k8s.pod.name":"web-prod-1","k8s.namespace.name":"ns-prod","k8s.node.name":"node-a","k8s.deployment.name":"web","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

@@ -1,84 +0,0 @@
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tests/integration/testdata/inframonitoring/pods_happy_path.jsonl

@@ -1,42 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1-uid","k8s.pod.name":"happy-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1048576000,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1048576000,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1048576000,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"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.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"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.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_orderby.jsonl

@@ -1,105 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/pods_pagination.jsonl

@@ -1,147 +0,0 @@
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tests/integration/testdata/inframonitoring/pods_phases.jsonl

@@ -1,105 +0,0 @@
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tests/integration/testdata/inframonitoring/pods_phases_grouped.jsonl

@@ -1,126 +0,0 @@
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tests/integration/testdata/inframonitoring/pods_phases_transition.jsonl

@@ -1,21 +0,0 @@
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tests/integration/testdata/inframonitoring/pods_value_accuracy.jsonl

@@ -1,42 +0,0 @@
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-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"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-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_value_accuracy_expected.json

@@ -1,26 +0,0 @@
-{
-  "records": [
-    {
-      "podName": "acc-p1",
-      "podCPU": 0.5,
-      "podCPURequest": 0.25,
-      "podCPULimit": 0.5,
-      "podMemory": 524288000.0,
-      "podMemoryRequest": 0.5,
-      "podMemoryLimit": 0.25,
-      "podPhase": "running",
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    },
-    {
-      "podName": "acc-p2",
-      "podCPU": 1.5,
-      "podCPURequest": 0.75,
-      "podCPULimit": 1.0,
-      "podMemory": 1073741824.0,
-      "podMemoryRequest": 0.75,
-      "podMemoryLimit": 0.5,
-      "podPhase": "running",
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    }
-  ]
-}

tests/integration/tests/cloudintegrations/05_services.py

@@ -86,6 +86,49 @@ def test_list_services_with_account(
         assert svc["enabled"] is False, f"Service {svc['id']} should be disabled before any config is set"
 
 
+EC2_SERVICE_ID = "ec2"
+
+
+def test_list_account_services(
+    signoz: types.SigNoz,
+    create_user_admin: types.Operation,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    create_cloud_integration_account: Callable,
+) -> None:
+    """ListAccountServicesMetadata reflects enabled state after enabling a service."""
+    admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+
+    account = create_cloud_integration_account(admin_token, CLOUD_PROVIDER)
+    account_id = account["id"]
+
+    checkin = simulate_agent_checkin(signoz, admin_token, CLOUD_PROVIDER, account_id, str(uuid.uuid4()))
+    assert checkin.status_code == HTTPStatus.OK, f"Check-in failed: {checkin.text}"
+
+    put_response = requests.put(
+        signoz.self.host_configs["8080"].get(f"/api/v1/cloud_integrations/{CLOUD_PROVIDER}/accounts/{account_id}/services/{EC2_SERVICE_ID}"),
+        headers={"Authorization": f"Bearer {admin_token}"},
+        json={"config": {"aws": {"metrics": {"enabled": True}, "logs": {"enabled": True}}}},
+        timeout=10,
+    )
+    assert put_response.status_code == HTTPStatus.NO_CONTENT, f"Enable ec2 failed: {put_response.status_code}: {put_response.text}"
+
+    list_response = requests.get(
+        signoz.self.host_configs["8080"].get(f"/api/v1/cloud_integrations/{CLOUD_PROVIDER}/accounts/{account_id}/services"),
+        headers={"Authorization": f"Bearer {admin_token}"},
+        timeout=10,
+    )
+    assert list_response.status_code == HTTPStatus.OK, f"Expected 200, got {list_response.status_code}"
+
+    data = list_response.json()["data"]
+    assert "services" in data, "Response should contain 'services' field"
+    assert isinstance(data["services"], list), "services should be a list"
+    assert len(data["services"]) > 0, "services list should be non-empty"
+
+    ec2_service = next((s for s in data["services"] if s["id"] == EC2_SERVICE_ID), None)
+    assert ec2_service is not None, f"EC2 service '{EC2_SERVICE_ID}' not found in services list"
+    assert ec2_service["enabled"] is True, f"EC2 service should be enabled, got: {ec2_service['enabled']}"
+
+
 def test_get_service_details_without_account(
     signoz: types.SigNoz,
     create_user_admin: types.Operation,  # pylint: disable=unused-argument

tests/integration/tests/inframonitoring/01_hosts.py

@@ -1,913 +0,0 @@
-"""Integration tests for v2 infra-monitoring host endpoints."""
-
-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/hosts"
-
-
-def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
-    return requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json=body,
-        timeout=5,
-    )
-
-
-def test_hosts_happy_path(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed 2 hosts x 4 metrics; assert response shape + counts."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    metrics = Metrics.load_from_file(
-        get_testdata_file_path("inframonitoring/hosts_happy_path.jsonl"),
-        base_time=now - timedelta(minutes=4),
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-
-    assert data["total"] == 2
-    assert len(data["records"]) == 2
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-
-    assert {r["hostName"] for r in data["records"]} == {"happy-h1", "happy-h2"}
-
-    for record in data["records"]:
-        for field in (
-            "hostName",
-            "status",
-            "cpu",
-            "memory",
-            "wait",
-            "load15",
-            "diskUsage",
-            "meta",
-        ):
-            assert field in record, f"missing {field} in {record!r}"
-
-
-def test_hosts_value_accuracy(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Assert exact metric values per record against precomputed expected output."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_value_accuracy.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    with open(
-        get_testdata_file_path("inframonitoring/hosts_value_accuracy_expected.json"),
-        encoding="utf-8",
-    ) as f:
-        expected = json.load(f)
-    exp_by_host = {r["hostName"]: r for r in expected["records"]}
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert len(data["records"]) == len(expected["records"])
-
-    for record in data["records"]:
-        exp = exp_by_host[record["hostName"]]
-        for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
-            assert compare_values(record[field], exp[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {exp[field]}"
-
-
-def test_hosts_missing_metrics(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed only system.cpu.time; assert other 3 required metrics flagged missing."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_missing_metrics.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-
-    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == {
-        "system.memory.usage",
-        "system.cpu.load_average.15m",
-        "system.filesystem.usage",
-    }
-    # Endpoint short-circuits when any required metric is missing:
-    # records is empty and total=0 regardless of which hosts have partial data.
-    # See pkg/modules/inframonitoring/implinframonitoring/module.go:84-89.
-    assert data["records"] == []
-    assert data["total"] == 0
-
-
-def test_hosts_filter_and(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """AND of two attribute clauses returns the single matching host."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {
-                "expression": "host.name = 'prod-linux-1' AND os.type = 'linux'",
-            },
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 1
-    assert {r["hostName"] for r in data["records"]} == {"prod-linux-1"}
-
-
-def test_hosts_filter_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """IN (...) operator returns exactly the listed hosts."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {
-                "expression": "host.name IN ('prod-linux-1', 'prod-windows-1')",
-            },
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 2
-    assert {r["hostName"] for r in data["records"]} == {
-        "prod-linux-1",
-        "prod-windows-1",
-    }
-
-
-def test_hosts_filter_not_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """NOT IN (...) returns the complement of the listed hosts."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {
-                "expression": "host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
-            },
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 2
-    assert {r["hostName"] for r in data["records"]} == {
-        "dev-linux-1",
-        "dev-windows-1",
-    }
-
-
-def test_hosts_filter_contains(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """CONTAINS 'substr' returns hosts whose attribute contains the substring."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "host.name CONTAINS 'prod-'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 2
-    assert {r["hostName"] for r in data["records"]} == {
-        "prod-linux-1",
-        "prod-windows-1",
-    }
-
-
-@pytest.mark.parametrize(
-    "expression,expected_hosts",
-    [
-        pytest.param(
-            "os.type = 'linux' AND host.name IN ('prod-linux-1', 'prod-windows-1')",
-            {"prod-linux-1"},
-            id="and_in",
-        ),
-        pytest.param(
-            "os.type = 'linux' AND host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
-            {"dev-linux-1"},
-            id="and_not_in",
-        ),
-        pytest.param(
-            "os.type = 'linux' AND host.name CONTAINS 'prod-'",
-            {"prod-linux-1"},
-            id="and_contains",
-        ),
-        pytest.param(
-            "host.name IN ('prod-linux-1', 'prod-windows-1', 'dev-linux-1') AND host.name CONTAINS 'linux'",
-            {"prod-linux-1", "dev-linux-1"},
-            id="in_contains",
-        ),
-    ],
-)
-def test_hosts_filter_combos(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-    expected_hosts: set,
-) -> None:
-    """AND-combined pairs of filter operators return the correct intersection."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert {r["hostName"] for r in data["records"]} == expected_hosts
-    assert data["total"] == len(expected_hosts)
-
-
-def test_hosts_filter_bad_attr_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Filter with a typo'd attribute key — discovery: silent empty vs error."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "host.namee = 'prod-linux-1'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.BAD_REQUEST
-    body = response.json()
-    assert body["status"] == "error"
-    assert body["error"]["code"] == "invalid_input"
-    assert any("host.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
-
-
-@pytest.mark.parametrize(
-    "expression",
-    [
-        pytest.param("host.name =", id="trailing_op"),
-        pytest.param("(host.name = 'prod-linux-1'", id="unclosed_paren"),
-        # Cases dropped — parser is permissive and accepts these silently:
-        #   `host.name == 'x'` → treated as `=` (matches as if single `=`)
-        #   `host.name 'x'`    → returns 200 with empty records
-        # Tracked as a QB v5 parser gap; not enforced by this test.
-    ],
-)
-def test_hosts_filter_bad_grammar(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-) -> None:
-    """Malformed filter expressions return 400 invalid_input with structured errors."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    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
-
-
-@pytest.mark.parametrize(
-    "status,expected_hosts",
-    [
-        pytest.param("active", {"active-h1"}, id="active"),
-        pytest.param("inactive", {"inactive-h1"}, id="inactive"),
-        pytest.param(None, {"active-h1", "inactive-h1"}, id="unset"),
-    ],
-)
-def test_hosts_filter_by_status(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    status,
-    expected_hosts: set,
-) -> None:
-    """filterByStatus subsets hosts and per-record activeHostCount/inactiveHostCount
-    track each host's status. Omitting filterByStatus returns all hosts.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_status.jsonl"),
-            base_time=now - timedelta(minutes=24),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    body = {
-        "start": int((now - timedelta(minutes=30)).timestamp() * 1000),
-        "end": int(now.timestamp() * 1000),
-        "limit": 50,
-    }
-    if status is not None:
-        body["filter"] = {"filterByStatus": status}
-
-    response = _post(signoz, token, body)
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-
-    assert {r["hostName"] for r in data["records"]} == expected_hosts
-    assert data["total"] == len(expected_hosts)
-
-    if status is not None:
-        for r in data["records"]:
-            assert r["status"] == status
-
-    for r in data["records"]:
-        if r["status"] == "active":
-            assert r["activeHostCount"] == 1
-            assert r["inactiveHostCount"] == 0
-        else:
-            assert r["status"] == "inactive"
-            assert r["activeHostCount"] == 0
-            assert r["inactiveHostCount"] == 1
-
-
-def test_hosts_groupby_hostname(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Explicit groupBy=[host.name] returns one record per distinct host."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "host.name",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                },
-            ],
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 4
-    assert {r["hostName"] for r in data["records"]} == {
-        "prod-linux-1",
-        "prod-windows-1",
-        "dev-linux-1",
-        "dev-windows-1",
-    }
-    for r in data["records"]:
-        assert r["activeHostCount"] + r["inactiveHostCount"] == 1
-
-
-def test_hosts_groupby_os_type(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """groupBy=[os.type] aggregates active/inactive counts and metric values per os.type."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_groupby_os_type.jsonl"),
-            base_time=now - timedelta(minutes=24),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=30)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "os.type",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                },
-            ],
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == 2
-
-    by_os = {r["meta"]["os.type"]: r for r in data["records"]}
-    assert set(by_os.keys()) == {"linux", "windows"}
-
-    # Per-group active/inactive counts. Seed had linux: 2 active + 1 inactive,
-    # windows: 1 active + 2 inactive.
-    assert by_os["linux"]["activeHostCount"] == 2
-    assert by_os["linux"]["inactiveHostCount"] == 1
-    assert by_os["windows"]["activeHostCount"] == 1
-    assert by_os["windows"]["inactiveHostCount"] == 2
-
-    # When host.name is NOT in groupBy: per-record hostName is empty.
-    for r in data["records"]:
-        assert r["hostName"] == ""
-
-    # Aggregated metric values per os.type group. Values differ between groups
-    # because active hosts (last sample step-floored out) and inactive hosts
-    # (all 3 samples averaged) contribute slightly different per-host
-    # contributions to the space-aggregated formula.
-    expected = {
-        "linux": {
-            "cpu": 0.3333333333333333,
-            "memory": 0.25892857142857145,
-            "wait": 0,
-            "load15": 2.15,
-            "diskUsage": 0.5071428571428571,
-        },
-        "windows": {
-            "cpu": 0.33333333333333337,
-            "memory": 0.2609375,
-            "wait": 0,
-            "load15": 2.47,
-            "diskUsage": 0.50875,
-        },
-    }
-    for os_type, rec in by_os.items():
-        for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
-            assert compare_values(rec[field], expected[os_type][field], 1e-9), f"{os_type}.{field}: got {rec[field]}, expected {expected[os_type][field]}"
-
-
-def test_hosts_pagination_sync(
-    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.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K, limit = 7, 3
-    seen_hosts: list[str] = []
-    seen_totals: set[int] = set()
-
-    for offset in (0, 3, 6):
-        response = _post(
-            signoz,
-            token,
-            {
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-            },
-        )
-        assert response.status_code == HTTPStatus.OK
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = min(limit, K - offset)
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len} records, got {len(data['records'])}"
-        seen_hosts.extend(r["hostName"] for r in data["records"])
-
-    assert seen_totals == {K}
-    assert len(seen_hosts) == K
-    assert set(seen_hosts) == {f"page-h{i}" for i in range(1, K + 1)}
-
-
-def test_hosts_offset_beyond_total(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Offset beyond total returns empty records; total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 7
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 3,
-            "offset": K + 5,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["records"] == []
-    assert data["total"] == K
-
-
-def test_hosts_total_invariant_across_orderby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Total stays K across all orderBy column x direction combinations.
-    Hosts have staggered timestamps (simulating real-world emit drift)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 5
-
-    # orderBy keys use snake_case (inframonitoringtypes/hosts_constants.go:26-30).
-    # Note: response uses camelCase (diskUsage) but request uses disk_usage.
-    for column in ("cpu", "memory", "wait", "load15", "disk_usage"):
-        for direction in ("asc", "desc"):
-            response = _post(
-                signoz,
-                token,
-                {
-                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                    "end": int(now.timestamp() * 1000),
-                    "limit": 50,
-                    "orderBy": {
-                        "key": {"name": column},
-                        "direction": direction,
-                    },
-                },
-            )
-            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'])}"
-
-
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_hosts_orderby_correctness(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    direction: str,
-) -> None:
-    """Records sorted by cpu in the requested direction."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    cpu_values = [r["cpu"] for r in data["records"]]
-    expected = sorted(cpu_values, reverse=(direction == "desc"))
-    assert cpu_values == expected, f"cpu {direction} not sorted; got {cpu_values}"
-
-
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_hosts_orderby_by_host_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    direction: str,
-) -> None:
-    """orderBy=host.name with empty groupBy returns hosts sorted alphabetically
-    via the metadata-name branch (hosts.go:218-219, PaginateMetadataByName)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/hosts_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": "host.name"}, "direction": direction},
-            "filter": {"expression": "host.name CONTAINS 'order-'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    names = [r["hostName"] for r in data["records"]]
-    expected = sorted(names, reverse=(direction == "desc"))
-    assert names == expected, f"host.name {direction} not sorted; got {names}"
-
-
-@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(
-            {"filter": {"filterByStatus": "bogus"}},
-            "invalid filter by status",
-            id="filter_by_status_invalid",
-        ),
-        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": "host.name"}, "direction": "desc"},
-                "groupBy": [
-                    {
-                        "name": "host.name",
-                        "fieldDataType": "string",
-                        "fieldContext": "resource",
-                    }
-                ],
-            },
-            "is only allowed when groupBy is empty",
-            id="orderby_hostname_with_groupby",
-        ),
-    ],
-)
-def test_hosts_validation_errors(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    payload_override: dict,
-    err_substr: str,
-) -> None:
-    """All PostableHosts.Validate() rules reject with 400 + descriptive error.
-    See pkg/types/inframonitoringtypes/hosts.go:53-108."""
-    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 = _post(signoz, token, body)
-    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}"
-
-
-@pytest.mark.parametrize(
-    "auth_state,expected_status",
-    [
-        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
-        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
-    ],
-)
-def test_hosts_auth(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    auth_state: str,
-    expected_status: int,
-) -> None:
-    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    body = {
-        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-        "end": int(now.timestamp() * 1000),
-        "limit": 50,
-    }
-    headers: dict = {}
-    if auth_state == "admin":
-        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-        headers["authorization"] = f"Bearer {token}"
-
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers=headers,
-        json=body,
-        timeout=5,
-    )
-    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/04_namespaces.py

@@ -1,825 +0,0 @@
-"""Integration tests for v2 infra-monitoring namespace endpoints."""
-
-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/namespaces"
-
-# Required metrics for the v2 namespaces endpoint
-# (pkg/modules/inframonitoring/implinframonitoring/namespaces_constants.go:22-26).
-REQUIRED_METRICS = {
-    "k8s.pod.cpu.usage",
-    "k8s.pod.memory.working_set",
-    "k8s.pod.phase",
-}
-
-
-def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
-    return requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json=body,
-        timeout=5,
-    )
-
-
-def test_namespaces_happy_path(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed 2 namespaces x 3 metrics + 2 pods/ns; assert response shape + counts."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_happy_path.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-
-    assert data["total"] == 2
-    assert len(data["records"]) == 2
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-
-    assert {r["namespaceName"] for r in data["records"]} == {"happy-ns-1", "happy-ns-2"}
-
-    for record in data["records"]:
-        for field in (
-            "namespaceName",
-            "namespaceCPU",
-            "namespaceMemory",
-            "podCountsByPhase",
-            "meta",
-        ):
-            assert field in record, f"missing {field} in {record!r}"
-
-        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
-            assert bucket in record["podCountsByPhase"]
-            assert isinstance(record["podCountsByPhase"][bucket], int)
-
-        # Each happy-path namespace has 2 running pods.
-        assert record["podCountsByPhase"]["running"] == 2
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert record["podCountsByPhase"][other] == 0
-
-        assert record["meta"].get("k8s.namespace.name") == record["namespaceName"]
-        assert "k8s.cluster.name" in record["meta"]
-
-
-def test_namespaces_value_accuracy(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Exact per-namespace metric values + podCountsByPhase.
-
-    Tests v1-parity expectation: SpaceAggregationSum across pods within a
-    namespace (pods_query.go A=cpu, D=memory both use Sum, namespaces.go:225
-    clones PodsTableListQuery; v2 namespaces_constants.go:54,73 use Sum too).
-    Predicted: acc-ns-1 (2 pods @ cpu=0.5,mem=1e8) -> cpu=1.0, mem=2e8;
-    acc-ns-2 (3 pods @ cpu=0.75,mem=2e8) -> cpu=2.25, mem=6e8.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_value_accuracy.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    with open(
-        get_testdata_file_path("inframonitoring/namespaces_value_accuracy_expected.json"),
-        encoding="utf-8",
-    ) as f:
-        expected = json.load(f)
-    exp_by_name = {r["namespaceName"]: r for r in expected["records"]}
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert len(data["records"]) == len(expected["records"])
-
-    for record in data["records"]:
-        exp = exp_by_name[record["namespaceName"]]
-        for field in ("namespaceCPU", "namespaceMemory"):
-            assert compare_values(record[field], exp[field], 1e-6), f"{record['namespaceName']}.{field}: got {record[field]}, expected {exp[field]}"
-        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
-
-
-def test_namespaces_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 2 required metrics flagged missing."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_missing_metrics.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    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
-
-
-def test_namespaces_filter_and(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """AND of two attribute clauses returns only the matching namespaces."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {
-                "expression": "k8s.cluster.name = 'cluster-a' AND env = 'prod'",
-            },
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["namespaceName"] for r in data["records"]} == {"web-a-prod", "api-a-prod"}
-    assert data["total"] == 2
-
-
-def test_namespaces_filter_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """IN (...) returns exactly the listed namespaces."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {
-                "expression": "k8s.namespace.name IN ('web-a-prod', 'api-b-dev')",
-            },
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["namespaceName"] for r in data["records"]} == {"web-a-prod", "api-b-dev"}
-    assert data["total"] == 2
-
-
-def test_namespaces_filter_not_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """NOT IN excludes a cluster, returns the rest."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name NOT IN ('cluster-a')"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["namespaceName"] for r in data["records"]} == {
-        "web-b-prod",
-        "web-b-dev",
-        "api-b-prod",
-        "api-b-dev",
-    }
-
-
-def test_namespaces_filter_contains(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """CONTAINS performs substring match on the attribute value."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.namespace.name CONTAINS 'web'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["namespaceName"] for r in data["records"]} == {
-        "web-a-prod",
-        "web-a-dev",
-        "web-b-prod",
-        "web-b-dev",
-    }
-
-
-@pytest.mark.parametrize(
-    "expression,expected",
-    [
-        pytest.param(
-            "k8s.cluster.name = 'cluster-a' AND k8s.namespace.name IN ('web-a-prod', 'api-a-prod')",
-            {"web-a-prod", "api-a-prod"},
-            id="and_in",
-        ),
-        pytest.param(
-            "k8s.cluster.name = 'cluster-a' AND k8s.namespace.name NOT IN ('web-a-prod', 'web-a-dev')",
-            {"api-a-prod", "api-a-dev"},
-            id="and_not_in",
-        ),
-        pytest.param(
-            "env = 'prod' AND k8s.namespace.name CONTAINS 'web'",
-            {"web-a-prod", "web-b-prod"},
-            id="and_contains",
-        ),
-        pytest.param(
-            "k8s.namespace.name IN ('web-a-prod', 'web-b-prod', 'api-a-prod') AND k8s.namespace.name CONTAINS 'web'",
-            {"web-a-prod", "web-b-prod"},
-            id="in_contains",
-        ),
-    ],
-)
-def test_namespaces_filter_combos(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-    expected: set,
-) -> None:
-    """AND-combined pairs of filter operators return the correct intersection."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["namespaceName"] for r in data["records"]} == expected
-    assert data["total"] == len(expected)
-
-
-def test_namespaces_filter_bad_attr_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Filter with a typo'd attribute key returns 400 invalid_input."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.namespace.namee = 'web-a-prod'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
-    body = response.json()
-    assert body["status"] == "error"
-    assert body["error"]["code"] == "invalid_input"
-    assert any("k8s.namespace.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
-
-
-@pytest.mark.parametrize(
-    "expression",
-    [
-        pytest.param("k8s.namespace.name =", id="trailing_op"),
-        pytest.param("(k8s.namespace.name = 'web-a-prod'", id="unclosed_paren"),
-    ],
-)
-def test_namespaces_filter_bad_grammar(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-) -> None:
-    """Malformed filter expressions return 400 invalid_input."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    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
-
-
-def test_namespaces_pod_phase_aggregation(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Namespace with mixed pod phases: podCountsByPhase aggregates correctly.
-    Dataset: 4 running + 1 pending + 2 failed pods all in pp-ns."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_pod_phases.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.namespace.name = 'pp-ns'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["namespaceName"] == "pp-ns"
-    assert rec["podCountsByPhase"] == {
-        "pending": 1,
-        "running": 4,
-        "succeeded": 0,
-        "failed": 2,
-        "unknown": 0,
-    }
-
-
-def test_namespaces_groupby_cluster(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Explicit groupBy=[k8s.cluster.name]: 2 records, aggregated counts per cluster,
-    meta surfaces cluster.name. Each cluster has 2 namespaces with 1 running pod each."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_groupby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "k8s.cluster.name",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 2
-
-    clusters_seen = set()
-    for rec in data["records"]:
-        # Per-row namespace identity is cleared; only the groupBy field surfaces.
-        assert rec["namespaceName"] == ""
-        # Each cluster has 2 namespaces x 1 pod = 2 running pods.
-        assert rec["podCountsByPhase"]["running"] == 2
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert rec["podCountsByPhase"][other] == 0
-        assert "k8s.cluster.name" in rec["meta"], rec["meta"]
-        clusters_seen.add(rec["meta"]["k8s.cluster.name"])
-    assert clusters_seen == {"gb-cluster-a", "gb-cluster-b"}
-
-
-def test_namespaces_pagination_sync(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination invariants across 3 offset windows."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_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):
-        response = _post(
-            signoz,
-            token,
-            {
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-            },
-        )
-        assert response.status_code == HTTPStatus.OK, response.text
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = min(limit, K - offset)
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
-        seen_names.extend(r["namespaceName"] for r in data["records"])
-
-    assert seen_totals == {K}
-    assert len(seen_names) == K
-    assert set(seen_names) == {f"page-ns-{i}" for i in range(1, K + 1)}
-
-
-def test_namespaces_offset_beyond_total(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Offset beyond total returns empty records; total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 7
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 3,
-            "offset": K + 5,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["records"] == []
-    assert data["total"] == K
-
-
-def test_namespaces_total_invariant_across_orderby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Total stays K across all orderBy column x direction combinations."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 5
-
-    # orderBy keys per namespaces_constants.go (cpu, memory only).
-    for column in ("cpu", "memory"):
-        for direction in ("asc", "desc"):
-            response = _post(
-                signoz,
-                token,
-                {
-                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                    "end": int(now.timestamp() * 1000),
-                    "limit": 50,
-                    "orderBy": {"key": {"name": column}, "direction": direction},
-                },
-            )
-            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'])}"
-
-
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_namespaces_orderby_correctness(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    direction: str,
-) -> None:
-    """Records sorted by namespaceCPU in the requested direction."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    cpu_values = [r["namespaceCPU"] for r in data["records"]]
-    expected = sorted(cpu_values, reverse=(direction == "desc"))
-    assert cpu_values == expected, f"cpu {direction} not sorted; got {cpu_values}"
-
-
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_namespaces_orderby_by_namespace_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    direction: str,
-) -> None:
-    """orderBy=k8s.namespace.name with empty groupBy returns namespaces sorted
-    alphabetically via the metadata-name branch (PaginateMetadataByName)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/namespaces_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": "k8s.namespace.name"}, "direction": direction},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    names = [r["namespaceName"] for r in data["records"]]
-    expected = sorted(names, reverse=(direction == "desc"))
-    assert names == expected, f"namespace.name {direction} not sorted; got {names}"
-
-
-@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.namespace.name"}, "direction": "desc"},
-                "groupBy": [
-                    {
-                        "name": "k8s.cluster.name",
-                        "fieldDataType": "string",
-                        "fieldContext": "resource",
-                    }
-                ],
-            },
-            "is only allowed when groupBy is empty",
-            id="orderby_nsname_with_groupby",
-        ),
-    ],
-)
-def test_namespaces_validation_errors(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    payload_override: dict,
-    err_substr: str,
-) -> None:
-    """All PostableNamespaces.Validate() rules reject with 400 + descriptive error.
-    See pkg/types/inframonitoringtypes/namespaces.go:40-91."""
-    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 = _post(signoz, token, body)
-    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}"
-
-
-@pytest.mark.parametrize(
-    "auth_state,expected_status",
-    [
-        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
-        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
-    ],
-)
-def test_namespaces_auth(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    auth_state: str,
-    expected_status: int,
-) -> None:
-    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    body = {
-        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-        "end": int(now.timestamp() * 1000),
-        "limit": 50,
-    }
-    headers: dict = {}
-    if auth_state == "admin":
-        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-        headers["authorization"] = f"Bearer {token}"
-
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers=headers,
-        json=body,
-        timeout=5,
-    )
-    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/05_clusters.py

@@ -1,890 +0,0 @@
-"""Integration tests for v2 infra-monitoring cluster endpoints."""
-
-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/clusters"
-
-# Required metrics for the v2 clusters endpoint
-# (pkg/modules/inframonitoring/implinframonitoring/clusters_constants.go:23-30).
-REQUIRED_METRICS = {
-    "k8s.node.cpu.usage",
-    "k8s.node.allocatable_cpu",
-    "k8s.node.memory.working_set",
-    "k8s.node.allocatable_memory",
-    "k8s.node.condition_ready",
-    "k8s.pod.phase",
-}
-
-
-def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
-    return requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json=body,
-        timeout=5,
-    )
-
-
-def test_clusters_happy_path(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """2 clusters x 2 nodes x 2 pods/node; assert shape + node/pod count buckets."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_happy_path.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-
-    assert data["total"] == 2
-    assert len(data["records"]) == 2
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-
-    assert {r["clusterName"] for r in data["records"]} == {"happy-cluster-1", "happy-cluster-2"}
-
-    for record in data["records"]:
-        for field in (
-            "clusterName",
-            "clusterCPU",
-            "clusterCPUAllocatable",
-            "clusterMemory",
-            "clusterMemoryAllocatable",
-            "nodeCountsByReadiness",
-            "podCountsByPhase",
-            "meta",
-        ):
-            assert field in record, f"missing {field} in {record!r}"
-
-        for bucket in ("ready", "notReady"):
-            assert bucket in record["nodeCountsByReadiness"]
-            assert isinstance(record["nodeCountsByReadiness"][bucket], int)
-        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
-            assert bucket in record["podCountsByPhase"]
-            assert isinstance(record["podCountsByPhase"][bucket], int)
-
-        # 2 ready nodes per cluster, no notReady.
-        assert record["nodeCountsByReadiness"] == {"ready": 2, "notReady": 0}
-        # 2 nodes x 2 running pods = 4 per cluster.
-        assert record["podCountsByPhase"]["running"] == 4
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert record["podCountsByPhase"][other] == 0
-
-        assert record["meta"].get("k8s.cluster.name") == record["clusterName"]
-
-
-def test_clusters_value_accuracy(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Exact per-cluster metric sums + node readiness + pod phase counts.
-
-    SpaceAggregationSum across nodes per cluster (clusters_constants.go:62,82,100,119).
-    acc-cluster-1: 2 nodes @ cpu=0.5, alloc_cpu=4, mem=1e9, alloc_mem=8e9
-        -> clusterCPU=1.0, clusterCPUAllocatable=8.0, clusterMemory=2e9, clusterMemoryAllocatable=16e9
-    acc-cluster-2: 3 nodes @ cpu=1.0, alloc_cpu=8, mem=2e9, alloc_mem=16e9
-        -> clusterCPU=3.0, clusterCPUAllocatable=24.0, clusterMemory=6e9, clusterMemoryAllocatable=48e9
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_value_accuracy.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    with open(
-        get_testdata_file_path("inframonitoring/clusters_value_accuracy_expected.json"),
-        encoding="utf-8",
-    ) as f:
-        expected = json.load(f)
-    exp_by_name = {r["clusterName"]: r for r in expected["records"]}
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert len(data["records"]) == len(expected["records"])
-
-    for record in data["records"]:
-        exp = exp_by_name[record["clusterName"]]
-        for field in (
-            "clusterCPU",
-            "clusterCPUAllocatable",
-            "clusterMemory",
-            "clusterMemoryAllocatable",
-        ):
-            assert compare_values(record[field], exp[field], 1e-6), f"{record['clusterName']}.{field}: got {record[field]}, expected {exp[field]}"
-        assert record["nodeCountsByReadiness"] == exp["nodeCountsByReadiness"]
-        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
-
-
-def test_clusters_missing_metrics(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed only k8s.node.cpu.usage; assert other 5 required metrics flagged missing."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_missing_metrics.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-
-    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.node.cpu.usage"})
-    assert data["records"] == []
-    assert data["total"] == 0
-
-
-def test_clusters_filter_and(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """AND of two attribute clauses returns only the matching clusters."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "cloud.provider = 'gcp' AND env = 'prod'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["clusterName"] for r in data["records"]} == {"web-gcp-prod", "api-gcp-prod"}
-    assert data["total"] == 2
-
-
-def test_clusters_filter_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """IN (...) returns exactly the listed clusters."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name IN ('web-gcp-prod', 'api-aws-dev')"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["clusterName"] for r in data["records"]} == {"web-gcp-prod", "api-aws-dev"}
-    assert data["total"] == 2
-
-
-def test_clusters_filter_not_in(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """NOT IN on the partition key returns the rest.
-    NOT IN on a non-partition label (e.g. cloud.provider) is unreliable — likely
-    a QB v5 label-extraction gap; covered indirectly via the and_not_in combo."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": ("k8s.cluster.name NOT IN ('web-gcp-prod', 'web-gcp-dev', 'api-gcp-prod', 'api-gcp-dev')")},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["clusterName"] for r in data["records"]} == {
-        "web-aws-prod",
-        "web-aws-dev",
-        "api-aws-prod",
-        "api-aws-dev",
-    }
-
-
-def test_clusters_filter_contains(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """CONTAINS performs substring match on the attribute value."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name CONTAINS 'web'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["clusterName"] for r in data["records"]} == {
-        "web-gcp-prod",
-        "web-gcp-dev",
-        "web-aws-prod",
-        "web-aws-dev",
-    }
-
-
-@pytest.mark.parametrize(
-    "expression,expected",
-    [
-        pytest.param(
-            "cloud.provider = 'gcp' AND k8s.cluster.name IN ('web-gcp-prod', 'api-gcp-prod')",
-            {"web-gcp-prod", "api-gcp-prod"},
-            id="and_in",
-        ),
-        pytest.param(
-            "cloud.provider = 'gcp' AND k8s.cluster.name NOT IN ('web-gcp-prod', 'web-gcp-dev')",
-            {"api-gcp-prod", "api-gcp-dev"},
-            id="and_not_in",
-        ),
-        pytest.param(
-            "env = 'prod' AND k8s.cluster.name CONTAINS 'web'",
-            {"web-gcp-prod", "web-aws-prod"},
-            id="and_contains",
-        ),
-        pytest.param(
-            "k8s.cluster.name IN ('web-gcp-prod', 'web-aws-prod', 'api-gcp-prod') AND k8s.cluster.name CONTAINS 'web'",
-            {"web-gcp-prod", "web-aws-prod"},
-            id="in_contains",
-        ),
-    ],
-)
-def test_clusters_filter_combos(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-    expected: set,
-) -> None:
-    """AND-combined pairs of filter operators return the correct intersection."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert {r["clusterName"] for r in data["records"]} == expected
-    assert data["total"] == len(expected)
-
-
-def test_clusters_filter_bad_attr_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Filter with a typo'd attribute key returns 400 invalid_input."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.namee = 'web-gcp-prod'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
-    body = response.json()
-    assert body["status"] == "error"
-    assert body["error"]["code"] == "invalid_input"
-    assert any("k8s.cluster.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
-
-
-@pytest.mark.parametrize(
-    "expression",
-    [
-        pytest.param("k8s.cluster.name =", id="trailing_op"),
-        pytest.param("(k8s.cluster.name = 'web-gcp-prod'", id="unclosed_paren"),
-    ],
-)
-def test_clusters_filter_bad_grammar(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    expression: str,
-) -> None:
-    """Malformed filter expressions return 400 invalid_input."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": expression},
-        },
-    )
-    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
-
-
-def test_clusters_node_readiness_aggregation(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Cluster with mixed node readiness: 3 ready + 2 not_ready -> {ready:3, notReady:2}."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_node_readiness.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name = 'rn-cluster'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["clusterName"] == "rn-cluster"
-    assert rec["nodeCountsByReadiness"] == {"ready": 3, "notReady": 2}
-
-
-def test_clusters_pod_phase_aggregation(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Cluster with mixed pod phases: 4 running + 1 pending + 2 failed."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_pod_phases.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name = 'pp-cluster'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["clusterName"] == "pp-cluster"
-    assert rec["podCountsByPhase"] == {
-        "pending": 1,
-        "running": 4,
-        "succeeded": 0,
-        "failed": 2,
-        "unknown": 0,
-    }
-
-
-def test_clusters_groupby_cloud_provider(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """groupBy=[cloud.provider]: 2 records (one per provider), aggregated counts,
-    meta surfaces cloud.provider. Each provider has 2 clusters x 1 node x 1 pod."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_groupby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "cloud.provider",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 2
-
-    providers_seen = set()
-    for rec in data["records"]:
-        # Per-row cluster identity is cleared; only the groupBy field surfaces.
-        assert rec["clusterName"] == ""
-        # Each provider has 2 clusters x 1 ready node -> {ready:2, notReady:0}
-        assert rec["nodeCountsByReadiness"] == {"ready": 2, "notReady": 0}
-        # 2 clusters x 1 running pod = 2 running.
-        assert rec["podCountsByPhase"]["running"] == 2
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert rec["podCountsByPhase"][other] == 0
-        assert "cloud.provider" in rec["meta"], rec["meta"]
-        providers_seen.add(rec["meta"]["cloud.provider"])
-    assert providers_seen == {"gcp", "aws"}
-
-
-def test_clusters_pagination_sync(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination invariants across 3 offset windows."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_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):
-        response = _post(
-            signoz,
-            token,
-            {
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-                "filter": {"expression": "k8s.cluster.name CONTAINS 'page-'"},
-            },
-        )
-        assert response.status_code == HTTPStatus.OK, response.text
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = min(limit, K - offset)
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
-        seen_names.extend(r["clusterName"] for r in data["records"])
-
-    assert seen_totals == {K}
-    assert len(seen_names) == K
-    assert set(seen_names) == {f"page-c{i}" for i in range(1, K + 1)}
-
-
-def test_clusters_offset_beyond_total(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Offset beyond total returns empty records; total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_pagination.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 7
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 3,
-            "offset": K + 5,
-            "filter": {"expression": "k8s.cluster.name CONTAINS 'page-'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["records"] == []
-    assert data["total"] == K
-
-
-def test_clusters_total_invariant_across_orderby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Total stays K across all 4 orderBy metric columns x 2 directions = 8 calls."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    K = 5
-
-    # orderBy keys per clusters_constants.go (cpu, cpu_allocatable, memory, memory_allocatable).
-    for column in ("cpu", "cpu_allocatable", "memory", "memory_allocatable"):
-        for direction in ("asc", "desc"):
-            response = _post(
-                signoz,
-                token,
-                {
-                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                    "end": int(now.timestamp() * 1000),
-                    "limit": 50,
-                    "orderBy": {"key": {"name": column}, "direction": direction},
-                    "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
-                },
-            )
-            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'])}"
-
-
-@pytest.mark.parametrize(
-    "column,record_field",
-    [
-        pytest.param("cpu", "clusterCPU", id="cpu"),
-        pytest.param("cpu_allocatable", "clusterCPUAllocatable", id="cpu_allocatable"),
-        pytest.param("memory", "clusterMemory", id="memory"),
-        pytest.param("memory_allocatable", "clusterMemoryAllocatable", id="memory_allocatable"),
-    ],
-)
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_clusters_orderby_correctness(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    column: str,
-    record_field: str,
-    direction: str,
-) -> None:
-    """Records sorted by the chosen metric column in the requested direction."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": column}, "direction": direction},
-            "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    values = [r[record_field] for r in data["records"]]
-    expected = sorted(values, reverse=(direction == "desc"))
-    assert values == expected, f"{column} {direction} not sorted; got {values}"
-
-
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_clusters_orderby_by_cluster_name(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    direction: str,
-) -> None:
-    """orderBy=k8s.cluster.name with empty groupBy returns clusters sorted
-    alphabetically via the metadata-name branch (PaginateMetadataByName)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = _post(
-        signoz,
-        token,
-        {
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "orderBy": {"key": {"name": "k8s.cluster.name"}, "direction": direction},
-            "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
-        },
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    names = [r["clusterName"] for r in data["records"]]
-    expected = sorted(names, reverse=(direction == "desc"))
-    assert names == expected, f"cluster.name {direction} not sorted; got {names}"
-
-
-@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.cluster.name"}, "direction": "desc"},
-                "groupBy": [
-                    {
-                        "name": "cloud.provider",
-                        "fieldDataType": "string",
-                        "fieldContext": "resource",
-                    }
-                ],
-            },
-            "is only allowed when groupBy is empty",
-            id="orderby_clustername_with_groupby",
-        ),
-    ],
-)
-def test_clusters_validation_errors(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    payload_override: dict,
-    err_substr: str,
-) -> None:
-    """All PostableClusters.Validate() rules reject with 400 + descriptive error.
-    See pkg/types/inframonitoringtypes/clusters.go:45-97."""
-    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 = _post(signoz, token, body)
-    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}"
-
-
-@pytest.mark.parametrize(
-    "auth_state,expected_status",
-    [
-        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
-        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
-    ],
-)
-def test_clusters_auth(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    auth_state: str,
-    expected_status: int,
-) -> None:
-    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    body = {
-        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-        "end": int(now.timestamp() * 1000),
-        "limit": 50,
-    }
-    headers: dict = {}
-    if auth_state == "admin":
-        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-        headers["authorization"] = f"Bearer {token}"
-
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers=headers,
-        json=body,
-        timeout=5,
-    )
-    assert response.status_code == expected_status, response.text