refactor(infra-monitoring): align namespaces integration tests with review feedback

- inline _post helper at call sites
- combine filter operator tests into parametrized test_namespaces_filter
- combine bad attr/grammar tests into parametrized test_namespaces_filter_invalid
- convert orderby total-invariant nested loop to stacked parametrize
- drop redundant test_namespaces_auth (auth covered globally)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

.github/workflows/integrationci.yaml

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

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

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

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

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

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

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

@@ -5,9 +5,11 @@ 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 { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import {
+	MetricQueryRangeSuccessResponse,
+	MetricRangePayloadProps,
+} from 'types/api/metrics/getQueryRange';
 import { QueryData } from 'types/api/widgets/getQuery';
 import uPlot from 'uplot';
 
@@ -21,10 +23,7 @@ export interface GraphVisibilityLegendEntryProps {
 
 export interface WidgetGraphComponentProps {
 	widget: Widgets;
-	queryResponse: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	errorMessage: string | undefined;
 	version?: string;
 	threshold?: ReactNode;

frontend/src/container/GridValueComponent/types.ts

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

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

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

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

@@ -1,11 +1,12 @@
+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, unknown>,
-): SuccessResponse<MetricRangePayloadProps, unknown> {
+	responseData: SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5>,
+): SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5> {
 	const queryResults = responseData?.payload?.data?.newResult?.data?.result;
 	const allFormattedResults: QueryData[] = [];
 
@@ -66,17 +67,19 @@ export function populateMultipleResults(
 	}
 
 	// Create a copy instead of mutating the original
-	const updatedResponseData: SuccessResponse<MetricRangePayloadProps, unknown> =
-		{
-			...responseData,
-			payload: {
-				...responseData.payload,
-				data: {
-					...responseData.payload.data,
-					result: allFormattedResults,
-				},
+	const updatedResponseData: SuccessResponse<
+		MetricRangePayloadProps,
+		QueryRangeRequestV5
+	> = {
+		...responseData,
+		payload: {
+			...responseData.payload,
+			data: {
+				...responseData.payload.data,
+				result: allFormattedResults,
 			},
-		};
+		},
+	};
 
 	return updatedResponseData;
 }

frontend/src/container/NewWidget/index.tsx

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

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

frontend/src/container/PanelWrapper/TablePanelWrapper.tsx

@@ -1,7 +1,6 @@
 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';
 
@@ -20,7 +19,7 @@ function TablePanelWrapper({
 		(queryResponse.data?.payload?.data?.result?.[0] as any)?.table || [];
 	const { thresholds } = widget;
 
-	const queryRangeRequest = queryResponse.data?.params as QueryRangeRequestV5;
+	const queryRangeRequest = queryResponse.data?.params;
 
 	return (
 		<GridTableComponent

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

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

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

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

frontend/src/hooks/queryBuilder/useGetExplorerQueryRange.ts

@@ -7,8 +7,7 @@ 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 { SuccessResponse, Warning } from 'types/api';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { GlobalReducer } from 'types/reducer/globalTime';
 
@@ -19,16 +18,13 @@ export const useGetExplorerQueryRange = (
 	requestData: Query | null,
 	panelType: PANEL_TYPES | null,
 	version: string,
-	options?: UseQueryOptions<SuccessResponse<MetricRangePayloadProps>, Error>,
+	options?: UseQueryOptions<MetricQueryRangeSuccessResponse, Error>,
 	params?: Record<string, unknown>,
 	isDependentOnQB = true,
 	keyRef?: MutableRefObject<any>,
 	headers?: Record<string, string>,
 	selectedTimeInterval?: GetQueryResultsProps['globalSelectedInterval'],
-): UseQueryResult<
-	SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
-	Error
-> => {
+): UseQueryResult<MetricQueryRangeSuccessResponse, 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 } from '../v5/queryRange';
+import { ExecStats, QueryRangeRequestV5 } from '../v5/queryRange';
 import { QueryData, QueryDataV3 } from '../widgets/getQuery';
 
 export type QueryRangePayload = {
@@ -39,11 +39,16 @@ export interface MetricRangePayloadProps {
 	meta?: ExecStats;
 }
 
-/** Query range success response including optional warning and meta */
-export type MetricQueryRangeSuccessResponse = SuccessResponse<
+/** 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<
 	MetricRangePayloadProps,
-	unknown
-> & { warning?: Warning; meta?: ExecStats };
+	QueryRangeRequestV5
+> {
+	warning?: Warning;
+	meta?: ExecStats;
+}
 
 export interface MetricRangePayloadV3 {
 	data: {

frontend/src/utils/getTimeRange.ts

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

tests/integration/testdata/inframonitoring/hosts_filter_dataset.jsonl

@@ -0,0 +1,84 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+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}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"prod-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"prod-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"prod-linux-1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-windows-1","os.type":"windows","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-windows-1","os.type":"windows","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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@@ -0,0 +1,126 @@
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tests/integration/testdata/inframonitoring/hosts_happy_path.jsonl

@@ -0,0 +1,72 @@
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+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-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_missing_metrics.jsonl

@@ -0,0 +1,12 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":150,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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tests/integration/testdata/inframonitoring/hosts_orderby.jsonl

@@ -0,0 +1,120 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.memory.usage","labels":{"host.name":"order-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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tests/integration/testdata/inframonitoring/hosts_pagination.jsonl

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

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

@@ -0,0 +1,72 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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tests/integration/testdata/inframonitoring/hosts_value_accuracy_expected.json

@@ -0,0 +1,20 @@
+{
+  "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

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

@@ -0,0 +1,36 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_happy_path.jsonl

@@ -0,0 +1,36 @@
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+{"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

@@ -0,0 +1,3 @@
+{"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

@@ -0,0 +1,45 @@
+{"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}
+{"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":"2025-01-10T10:02:00+00:00","value":2,"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":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-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":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-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":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-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":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","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":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","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":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","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":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","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.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","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.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"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":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"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":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","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":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","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":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","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_pagination.jsonl

@@ -0,0 +1,63 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-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_pod_phases.jsonl

@@ -0,0 +1,63 @@
+{"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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy.jsonl

@@ -0,0 +1,45 @@
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy_expected.json

@@ -0,0 +1,16 @@
+{
+  "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

@@ -0,0 +1,33 @@
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tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -0,0 +1,54 @@
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+{"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}
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+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-2","k8s.node.uid":"g-r2-uid","k8s.cluster.name":"cluster-mixed"},"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.allocatable_cpu","labels":{"k8s.node.name":"g-ready-2","k8s.node.uid":"g-r2-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+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-g-ready-2-uid","k8s.pod.name":"pod-g-ready-2","k8s.namespace.name":"ns-x","k8s.node.name":"g-ready-2","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-notready-1","k8s.node.uid":"g-nr1-uid","k8s.cluster.name":"cluster-mixed"},"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":"g-notready-1","k8s.node.uid":"g-nr1-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-notready-1","k8s.node.uid":"g-nr1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-notready-1","k8s.node.uid":"g-nr1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"g-notready-1","k8s.node.uid":"g-nr1-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-notready-1","k8s.node.uid":"g-nr1-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-notready-1","k8s.node.uid":"g-nr1-uid","k8s.cluster.name":"cluster-mixed"},"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":"g-notready-1","k8s.node.uid":"g-nr1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-g-notready-1-uid","k8s.pod.name":"pod-g-notready-1","k8s.namespace.name":"ns-x","k8s.node.name":"g-notready-1","k8s.cluster.name":"cluster-mixed"},"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-g-notready-1-uid","k8s.pod.name":"pod-g-notready-1","k8s.namespace.name":"ns-x","k8s.node.name":"g-notready-1","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_conditions_transition.jsonl

@@ -0,0 +1,18 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"trans-n","k8s.node.uid":"trans-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":"trans-n","k8s.node.uid":"trans-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":"trans-n","k8s.node.uid":"trans-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":"trans-n","k8s.node.uid":"trans-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":"trans-n","k8s.node.uid":"trans-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}
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+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"trans-n","k8s.node.uid":"trans-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_filter_dataset.jsonl

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

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

@@ -0,0 +1,42 @@
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+{"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

@@ -0,0 +1,3 @@
+{"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

@@ -0,0 +1,18 @@
+{"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}
+{"metric_name":"k8s.node.allocatable_memory","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":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","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":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","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":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","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":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","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":1,"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_orderby.jsonl

@@ -0,0 +1,78 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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":"order-n1","k8s.node.uid":"order-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.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"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":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"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":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"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":"order-n2","k8s.node.uid":"order-n2-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":"order-n2","k8s.node.uid":"order-n2-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":"order-n2","k8s.node.uid":"order-n2-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":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-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":"order-n2","k8s.node.uid":"order-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":"order-n2","k8s.node.uid":"order-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.node.cpu.usage","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"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":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"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":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":12.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":12.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":12.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

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

@@ -0,0 +1,30 @@
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+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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}
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+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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}
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+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-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":"pp-n1","k8s.node.uid":"pp-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":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-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":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":"2025-01-10T10:00:00+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}
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+{"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

@@ -0,0 +1,36 @@
+{"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

@@ -0,0 +1,24 @@
+{
+  "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

@@ -0,0 +1,168 @@
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

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

@@ -0,0 +1,42 @@
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+{"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}
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+{"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

@@ -0,0 +1,3 @@
+{"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

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

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

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

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

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

@@ -0,0 +1,42 @@
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+{"metric_name":"k8s.pod.cpu.usage","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":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_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.cpu_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.cpu_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.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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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

@@ -0,0 +1,26 @@
+{
+  "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/inframonitoring/01_hosts.py

@@ -0,0 +1,743 @@
+"""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 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+
+    assert response.status_code == HTTPStatus.OK
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK
+    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
+
+
+@pytest.mark.parametrize(
+    "expression,expected_hosts",
+    [
+        pytest.param(
+            "host.name = 'prod-linux-1' AND os.type = 'linux'",
+            {"prod-linux-1"},
+            id="and",
+        ),
+        pytest.param(
+            "host.name IN ('prod-linux-1', 'prod-windows-1')",
+            {"prod-linux-1", "prod-windows-1"},
+            id="in",
+        ),
+        pytest.param(
+            "host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
+            {"dev-linux-1", "dev-windows-1"},
+            id="not_in",
+        ),
+        pytest.param(
+            "host.name CONTAINS 'prod-'",
+            {"prod-linux-1", "prod-windows-1"},
+            id="contains",
+        ),
+        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(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected_hosts: set,
+) -> None:
+    """Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
+    return exactly the matching 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert {r["hostName"] for r in data["records"]} == expected_hosts
+    assert data["total"] == len(expected_hosts)
+
+
+@pytest.mark.parametrize(
+    "expression,err_substr",
+    [
+        pytest.param("host.namee = 'prod-linux-1'", "host.namee", id="bad_attr_name"),
+        pytest.param("host.name =", None, id="trailing_op"),
+        pytest.param("(host.name = 'prod-linux-1'", None, 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_invalid(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    err_substr,
+) -> None:
+    """Invalid filter expressions (typo'd attribute key, malformed grammar) return
+    400 invalid_input with structured errors; bad attribute keys are named in them."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+    if err_substr is not None:
+        assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
+
+
+@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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "host.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                },
+            ],
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=30)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "os.type",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                },
+            ],
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+            signoz.self.host_configs["8080"].get(ENDPOINT),
+            headers={"authorization": f"Bearer {token}"},
+            json={
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+            },
+            timeout=5,
+        )
+        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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+# orderBy keys use snake_case (inframonitoringtypes/hosts_constants.go:26-30).
+# Note: response uses camelCase (diskUsage) but request uses disk_usage.
+@pytest.mark.parametrize("column", ["cpu", "memory", "wait", "load15", "disk_usage"])
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_hosts_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    direction: str,
+) -> 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
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {
+                "key": {"name": column},
+                "direction": direction,
+            },
+        },
+        timeout=5,
+    )
+    ctx = f"orderBy={column} {direction}"
+    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+    data = response.json()["data"]
+    assert data["total"] == K, f"{ctx}: total={data['total']}"
+    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "host.name"}, "direction": direction},
+            "filter": {"expression": "host.name CONTAINS 'order-'"},
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"

tests/integration/tests/inframonitoring/02_pods.py

@@ -0,0 +1,904 @@
+"""Integration tests for v2 infra-monitoring pod 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
+from fixtures.time import parse_timestamp
+
+ENDPOINT = "/api/v2/infra_monitoring/pods"
+
+# Required metrics for the v2 pods endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/pods_constants.go:24-32).
+REQUIRED_METRICS = {
+    "k8s.pod.cpu.usage",
+    "k8s.pod.cpu_request_utilization",
+    "k8s.pod.cpu_limit_utilization",
+    "k8s.pod.memory.working_set",
+    "k8s.pod.memory_request_utilization",
+    "k8s.pod.memory_limit_utilization",
+    "k8s.pod.phase",
+}
+
+# Numeric values emitted by the k8s.pod.phase metric (OTel kubeletstatsreceiver).
+PHASE_NUM = {"pending": 1, "running": 2, "succeeded": 3, "failed": 4, "unknown": 5}
+
+# Placeholder in JSONL labels that gets substituted with a runtime ISO string.
+START_TIME_PLACEHOLDER = "__START_TIME__"
+
+
+def _load_pods_metrics(
+    file_relpath: str,
+    base_time: datetime,
+    start_time: datetime | None = None,
+) -> list[Metrics]:
+    """Load pod metrics JSONL with optional k8s.pod.start_time substitution.
+
+    Mirrors Metrics.load_from_file's base_time rebase logic but adds a hook
+    for the start_time label. Lines carrying ``k8s.pod.start_time =
+    __START_TIME__`` get rewritten to ``start_time.isoformat()`` before
+    construction, ensuring podAge is deterministic across runs.
+    """
+    path = get_testdata_file_path(file_relpath)
+    start_time_iso = start_time.isoformat() if start_time else None
+    rows = []
+    with open(path, encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if not line:
+                continue
+            data = json.loads(line)
+            labels = data.get("labels", {})
+            if start_time_iso and labels.get("k8s.pod.start_time") == START_TIME_PLACEHOLDER:
+                labels["k8s.pod.start_time"] = start_time_iso
+            rows.append(data)
+    if not rows:
+        return []
+    earliest = min(parse_timestamp(r["timestamp"]) for r in rows)
+    offset = base_time - earliest
+    metrics = []
+    for r in rows:
+        ts = parse_timestamp(r["timestamp"]) + offset
+        r["timestamp"] = ts.isoformat()
+        metrics.append(Metrics.from_dict(r))
+    return metrics
+
+
+def test_pods_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed 2 pods x 7 metrics; assert response shape + counts + podCountsByPhase buckets."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    start_time = now - timedelta(minutes=10)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_happy_path.jsonl",
+            base_time=now - timedelta(minutes=4),
+            start_time=start_time,
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["meta"]["k8s.pod.name"] for r in data["records"]} == {
+        "happy-p1",
+        "happy-p2",
+    }
+
+    for record in data["records"]:
+        for field in (
+            "podUID",
+            "podCPU",
+            "podCPURequest",
+            "podCPULimit",
+            "podMemory",
+            "podMemoryRequest",
+            "podMemoryLimit",
+            "podPhase",
+            "podCountsByPhase",
+            "podAge",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        # Five phase buckets always present, integer-typed.
+        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
+            assert bucket in record["podCountsByPhase"], f"missing phase bucket {bucket} in {record['podCountsByPhase']!r}"
+            assert isinstance(record["podCountsByPhase"][bucket], int)
+
+        # All happy-path pods are running.
+        assert record["podPhase"] == "running"
+        assert record["podCountsByPhase"]["running"] == 1
+        for bucket in ("pending", "succeeded", "failed", "unknown"):
+            assert record["podCountsByPhase"][bucket] == 0
+
+
+def test_pods_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Assert exact per-pod metric values, podAge, and podCountsByPhase against
+    precomputed expected output. Locks in numerical determinism."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    start_time = now - timedelta(minutes=10)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_value_accuracy.jsonl",
+            base_time=now - timedelta(minutes=4),
+            start_time=start_time,
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/pods_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["podName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    req_end_ms = int(now.timestamp() * 1000)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": req_end_ms,
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    # podAge = req.End - k8s.pod.start_time (in milliseconds). Verified equal to
+    # the precise expected value computed from the test's known start_time.
+    expected_age_ms = req_end_ms - int(start_time.timestamp() * 1000)
+
+    for record in data["records"]:
+        pod_name = record["meta"]["k8s.pod.name"]
+        exp = exp_by_name[pod_name]
+        for field in (
+            "podCPU",
+            "podCPURequest",
+            "podCPULimit",
+            "podMemory",
+            "podMemoryRequest",
+            "podMemoryLimit",
+        ):
+            assert compare_values(record[field], exp[field], 1e-9), f"{pod_name}.{field}: got {record[field]}, expected {exp[field]}"
+        assert record["podPhase"] == exp["podPhase"]
+        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
+        assert record["podAge"] == expected_age_ms, f"{pod_name}.podAge: got {record['podAge']}, expected {expected_age_ms}"
+
+
+def test_pods_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 6 required metrics flagged missing.
+
+    The endpoint short-circuits and returns empty records + total=0 when any
+    required metric is missing (module.go:192-197).
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_missing_metrics.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+@pytest.mark.parametrize(
+    "expression,expected_pods",
+    [
+        pytest.param(
+            "k8s.namespace.name = 'ns-prod' AND k8s.deployment.name = 'web'",
+            {"web-prod-1", "web-prod-2"},
+            id="and",
+        ),
+        pytest.param(
+            "k8s.pod.name IN ('web-prod-1', 'api-dev-1')",
+            {"web-prod-1", "api-dev-1"},
+            id="in",
+        ),
+        pytest.param(
+            "k8s.deployment.name NOT IN ('api')",
+            {"web-prod-1", "web-prod-2", "web-dev-1", "web-dev-2"},
+            id="not_in",
+        ),
+        pytest.param(
+            "k8s.pod.name CONTAINS 'web'",
+            {"web-prod-1", "web-prod-2", "web-dev-1", "web-dev-2"},
+            id="contains",
+        ),
+        pytest.param(
+            "k8s.namespace.name = 'ns-prod' AND k8s.pod.name IN ('web-prod-1', 'api-prod-1')",
+            {"web-prod-1", "api-prod-1"},
+            id="and_in",
+        ),
+        pytest.param(
+            "k8s.namespace.name = 'ns-prod' AND k8s.pod.name NOT IN ('web-prod-1', 'web-prod-2')",
+            {"api-prod-1", "api-prod-2"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "k8s.namespace.name = 'ns-dev' AND k8s.pod.name CONTAINS 'web'",
+            {"web-dev-1", "web-dev-2"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.pod.name IN ('web-prod-1', 'web-dev-1', 'api-dev-1') AND k8s.pod.name CONTAINS 'web'",
+            {"web-prod-1", "web-dev-1"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_pods_filter(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected_pods: set,
+) -> None:
+    """Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
+    return exactly the matching pods."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_filter_dataset.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["meta"]["k8s.pod.name"] for r in data["records"]} == expected_pods
+    assert data["total"] == len(expected_pods)
+
+
+@pytest.mark.parametrize(
+    "expression,err_substr",
+    [
+        pytest.param("k8s.pod.namee = 'web-prod-1'", "k8s.pod.namee", id="bad_attr_name"),
+        pytest.param("k8s.pod.name =", None, id="trailing_op"),
+        pytest.param("(k8s.pod.name = 'web-prod-1'", None, id="unclosed_paren"),
+    ],
+)
+def test_pods_filter_invalid(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    err_substr,
+) -> None:
+    """Invalid filter expressions (typo'd attribute key, malformed grammar) return
+    400 invalid_input with structured errors; bad attribute keys are named in them."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_filter_dataset.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+    if err_substr is not None:
+        assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
+
+
+# Pod names per phase in pods_phases.jsonl (generated by tests/gen_pods_datasets.py).
+_PHASE_TO_POD_NAME = {
+    "pending": "pend-p",
+    "running": "run-p",
+    "succeeded": "succ-p",
+    "failed": "fail-p",
+    "unknown": "unk-p",
+}
+
+
+@pytest.mark.parametrize(
+    "phase_name",
+    [
+        pytest.param("pending", id="pending"),
+        pytest.param("running", id="running"),
+        pytest.param("succeeded", id="succeeded"),
+        pytest.param("failed", id="failed"),
+        pytest.param("unknown", id="unknown"),
+    ],
+)
+def test_pods_phase_counts_list_mode(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    phase_name: str,
+) -> None:
+    """List mode (no groupBy): each pod's record carries podPhase derived from its
+    latest k8s.pod.phase sample, AND podCountsByPhase has exactly that bucket=1
+    with all others 0. Verifies the phase-derivation logic at pods.go:82-94.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_phases.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    pod_name = _PHASE_TO_POD_NAME[phase_name]
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": f"k8s.pod.name = '{pod_name}'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["meta"]["k8s.pod.name"] == pod_name
+    assert rec["podPhase"] == phase_name
+    assert rec["podCountsByPhase"][phase_name] == 1
+    for other in {"pending", "running", "succeeded", "failed", "unknown"} - {phase_name}:
+        assert rec["podCountsByPhase"][other] == 0, f"expected {other}=0 when latest phase={phase_name}, got {rec['podCountsByPhase']}"
+
+
+def test_pods_phase_counts_latest_wins(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pod with k8s.pod.phase transitioning pending->running across the window:
+    podPhase reflects the LATEST sample (running) via argMax, not the earliest.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_phases_transition.jsonl",
+            base_time=now - timedelta(minutes=8),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=10)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["meta"]["k8s.pod.name"] == "trans-p"
+    assert rec["podPhase"] == "running"
+    assert rec["podCountsByPhase"]["running"] == 1
+    assert rec["podCountsByPhase"]["pending"] == 0
+
+
+def test_pods_phase_counts_grouped_mode(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[k8s.namespace.name] aggregates phase counts across all pods in
+    the group. podPhase becomes "no_data" because no single pod identifies the
+    group, and per-pod fields (podUID, podAge, meta) clear out.
+    Dataset: ns-mixed contains 3 running + 2 failed + 1 pending.
+    See pods.go:80-95 (list-vs-grouped phase handling).
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_phases_grouped.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.namespace.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+
+    # Grouped-mode invariants: per-pod fields cleared, but meta surfaces the
+    # groupBy key so the client can identify the group.
+    assert rec["podUID"] == ""
+    assert rec["podAge"] == -1
+    assert rec["podPhase"] == "no_data"
+    assert rec["meta"].get("k8s.namespace.name") == "ns-mixed"
+
+    # Aggregated phase counts across the namespace.
+    assert rec["podCountsByPhase"] == {
+        "pending": 1,
+        "running": 3,
+        "succeeded": 0,
+        "failed": 2,
+        "unknown": 0,
+    }
+
+
+def test_pods_groupby_namespace(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Explicit groupBy=[k8s.namespace.name] aggregates 2 pods per namespace
+    into one record. Per-pod identity fields (uid, age) are cleared, but meta
+    must surface the groupBy key so the client can identify each group.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_groupby.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.namespace.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+
+    namespaces_seen = set()
+    for rec in data["records"]:
+        assert rec["podUID"] == ""
+        assert rec["podPhase"] == "no_data"
+        assert rec["podAge"] == -1
+        # meta surfaces the groupBy key so the client can identify the group.
+        assert "k8s.namespace.name" in rec["meta"], rec["meta"]
+        namespaces_seen.add(rec["meta"]["k8s.namespace.name"])
+        # Each namespace has 2 running pods.
+        assert rec["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert rec["podCountsByPhase"][other] == 0
+    assert namespaces_seen == {"gns-a", "gns-b"}
+
+
+def test_pods_groupby_deployment(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[k8s.deployment.name] returns one record per deployment with
+    aggregated counts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_groupby.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.deployment.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+    for rec in data["records"]:
+        assert rec["podCountsByPhase"]["running"] == 2
+
+
+def test_pods_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(
+        _load_pods_metrics(
+            "inframonitoring/pods_pagination.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_pods: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = requests.post(
+            signoz.self.host_configs["8080"].get(ENDPOINT),
+            headers={"authorization": f"Bearer {token}"},
+            json={
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+            },
+            timeout=5,
+        )
+        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} records, got {len(data['records'])}"
+        seen_pods.extend(r["meta"]["k8s.pod.name"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_pods) == K
+    assert set(seen_pods) == {f"page-p{i}" for i in range(1, K + 1)}
+
+
+def test_pods_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(
+        _load_pods_metrics(
+            "inframonitoring/pods_pagination.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+# orderBy keys per pods_constants.go:42-48.
+@pytest.mark.parametrize(
+    "column",
+    ["cpu", "cpu_request", "cpu_limit", "memory", "memory_request", "memory_limit"],
+)
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_pods_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    direction: str,
+) -> None:
+    """Total stays K across all orderBy column x direction combinations."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_orderby.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+        },
+        timeout=5,
+    )
+    ctx = f"orderBy={column} {direction}"
+    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+    data = response.json()["data"]
+    assert data["total"] == K, f"{ctx}: total={data['total']}"
+    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_pods_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """Records sorted by podCPU in the requested direction."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_pagination.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    cpu_values = [r["podCPU"] 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_pods_orderby_by_pod_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.pod.name with empty groupBy returns pods sorted alphabetically
+    via the metadata-name branch (PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        _load_pods_metrics(
+            "inframonitoring/pods_orderby.jsonl",
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.pod.name"}, "direction": direction},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["meta"]["k8s.pod.name"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"pod.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": "phase"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_phase_rejected",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {
+                    "key": {"name": "k8s.pod.name"},
+                    "direction": "desc",
+                },
+                "groupBy": [
+                    {
+                        "name": "k8s.namespace.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_podname_with_groupby",
+        ),
+    ],
+)
+def test_pods_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostablePods.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/pods.go:56-107."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"

tests/integration/tests/inframonitoring/03_nodes.py

@@ -0,0 +1,863 @@
+"""Integration tests for v2 infra-monitoring node 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/nodes"
+
+# Required metrics for the v2 nodes endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/nodes_constants.go:22-29).
+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",
+}
+
+# Numeric values emitted by k8s.node.condition_ready.
+COND_NUM = {"ready": 1, "not_ready": 0}
+
+
+def test_nodes_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed 2 nodes x 5 metrics + 2 pods/node; assert response shape + both count buckets."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_happy_path.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["nodeName"] for r in data["records"]} == {"happy-n1", "happy-n2"}
+
+    for record in data["records"]:
+        for field in (
+            "nodeName",
+            "condition",
+            "nodeCountsByReadiness",
+            "podCountsByPhase",
+            "nodeCPU",
+            "nodeCPUAllocatable",
+            "nodeMemory",
+            "nodeMemoryAllocatable",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        for bucket in ("ready", "notReady"):
+            assert bucket in record["nodeCountsByReadiness"]
+        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
+            assert bucket in record["podCountsByPhase"]
+
+        assert record["condition"] == "ready"
+        assert record["nodeCountsByReadiness"] == {"ready": 1, "notReady": 0}
+        # Each happy-path node hosts 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.node.name") == record["nodeName"]
+        assert "k8s.node.uid" in record["meta"]
+        assert "k8s.cluster.name" in record["meta"]
+
+
+def test_nodes_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Exact per-node metric values, condition, and both count buckets."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/nodes_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["nodeName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_name[record["nodeName"]]
+        for field in ("nodeCPU", "nodeCPUAllocatable", "nodeMemory", "nodeMemoryAllocatable"):
+            assert compare_values(record[field], exp[field], 1e-6), f"{record['nodeName']}.{field}: got {record[field]}, expected {exp[field]}"
+        assert record["condition"] == exp["condition"]
+        assert record["nodeCountsByReadiness"] == exp["nodeCountsByReadiness"]
+        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
+
+
+def test_nodes_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/nodes_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.node.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+@pytest.mark.parametrize(
+    "expression,expected_nodes",
+    [
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND zone = 'us'",
+            {"web-a-us-1", "api-a-us-1"},
+            id="and",
+        ),
+        pytest.param(
+            "k8s.node.name IN ('web-a-us-1', 'api-b-eu-1')",
+            {"web-a-us-1", "api-b-eu-1"},
+            id="in",
+        ),
+        pytest.param(
+            "k8s.cluster.name NOT IN ('cluster-a')",
+            {"web-b-us-1", "web-b-eu-1", "api-b-us-1", "api-b-eu-1"},
+            id="not_in",
+        ),
+        pytest.param(
+            "k8s.node.name CONTAINS 'web'",
+            {"web-a-us-1", "web-a-eu-1", "web-b-us-1", "web-b-eu-1"},
+            id="contains",
+        ),
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND k8s.node.name IN ('web-a-us-1', 'api-a-us-1')",
+            {"web-a-us-1", "api-a-us-1"},
+            id="and_in",
+        ),
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND k8s.node.name NOT IN ('web-a-us-1', 'web-a-eu-1')",
+            {"api-a-us-1", "api-a-eu-1"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "zone = 'us' AND k8s.node.name CONTAINS 'web'",
+            {"web-a-us-1", "web-b-us-1"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.node.name IN ('web-a-us-1', 'web-b-us-1', 'api-a-us-1') AND k8s.node.name CONTAINS 'web'",
+            {"web-a-us-1", "web-b-us-1"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_nodes_filter(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected_nodes: set,
+) -> None:
+    """Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
+    return exactly the matching nodes."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["nodeName"] for r in data["records"]} == expected_nodes
+    assert data["total"] == len(expected_nodes)
+
+
+@pytest.mark.parametrize(
+    "expression,err_substr",
+    [
+        pytest.param("k8s.node.namee = 'web-a-us-1'", "k8s.node.namee", id="bad_attr_name"),
+        pytest.param("k8s.node.name =", None, id="trailing_op"),
+        pytest.param("(k8s.node.name = 'web-a-us-1'", None, id="unclosed_paren"),
+    ],
+)
+def test_nodes_filter_invalid(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    err_substr,
+) -> None:
+    """Invalid filter expressions (typo'd attribute key, malformed grammar) return
+    400 invalid_input with structured errors; bad attribute keys are named in them."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+    if err_substr is not None:
+        assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "node_name,expected_condition",
+    [
+        pytest.param("ready-n", "ready", id="ready"),
+        pytest.param("notready-n", "not_ready", id="not_ready"),
+    ],
+)
+def test_nodes_condition_list_mode(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    node_name: str,
+    expected_condition: str,
+) -> None:
+    """List mode: each node's record carries condition derived from latest
+    k8s.node.condition_ready sample. Counts match per nodes.go:69-76."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_conditions.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": f"k8s.node.name = '{node_name}'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["nodeName"] == node_name
+    assert rec["condition"] == expected_condition
+    if expected_condition == "ready":
+        assert rec["nodeCountsByReadiness"] == {"ready": 1, "notReady": 0}
+    else:
+        assert rec["nodeCountsByReadiness"] == {"ready": 0, "notReady": 1}
+
+
+def test_nodes_condition_latest_wins(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Node with condition_ready transitioning 0->1: latest argMax wins -> ready.
+
+    Note: the dataset also seeds a phantom k8s.pod.phase sample (otherwise the
+    nodes endpoint short-circuits — pod.phase is in nodesTableMetricNamesList).
+    The phantom surfaces as an extra node via the metadata getter (which groups
+    by k8s.node.name across ALL required-metric series, including pod-phase),
+    so the test filters explicitly to the trans-n node.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_conditions_transition.jsonl"),
+            base_time=now - timedelta(minutes=8),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=10)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.node.name = 'trans-n'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["nodeName"] == "trans-n"
+    assert rec["condition"] == "ready"
+    assert rec["nodeCountsByReadiness"] == {"ready": 1, "notReady": 0}
+
+
+def test_nodes_condition_grouped_mode(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[k8s.cluster.name] aggregates condition counts across nodes.
+    Per the contract (nodes.go:69-76): condition stays no_data in grouped mode."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_conditions_grouped.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.cluster.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+
+    # Grouped-mode invariants: per-node fields cleared.
+    assert rec["nodeName"] == ""
+    assert rec["condition"] == "no_data"
+    # Aggregated condition counts across the cluster.
+    assert rec["nodeCountsByReadiness"] == {"ready": 2, "notReady": 1}
+    # Pod-phase counts aggregated: 3 running pods (one per node).
+    assert rec["podCountsByPhase"]["running"] == 3
+    for other in ("pending", "succeeded", "failed", "unknown"):
+        assert rec["podCountsByPhase"][other] == 0
+    # meta surfaces the groupBy key.
+    assert rec["meta"].get("k8s.cluster.name") == "cluster-mixed"
+
+
+def test_nodes_pod_phase_counts_list_mode(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Node hosts 3 running + 2 failed pods: podCountsByPhase bucketed correctly.
+    Verifies the k8s.pod.phase join via k8s.node.name in labels."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_pod_phases.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["nodeName"] == "pp-n1"
+    assert rec["podCountsByPhase"] == {
+        "pending": 0,
+        "running": 3,
+        "succeeded": 0,
+        "failed": 2,
+        "unknown": 0,
+    }
+
+
+def test_nodes_pod_phase_counts_no_pods_on_node(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Node with no pods: podCountsByPhase all zeros, node still appears.
+    Filter on the specific node to ignore the carrier phantom (see
+    test_nodes_condition_latest_wins for the carrier explanation).
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_no_pods.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.node.name = 'no-pod-n'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["nodeName"] == "no-pod-n"
+    assert rec["podCountsByPhase"] == {
+        "pending": 0,
+        "running": 0,
+        "succeeded": 0,
+        "failed": 0,
+        "unknown": 0,
+    }
+
+
+def test_nodes_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 (one per cluster),
+    aggregated node + pod counts, meta surfaces cluster.name."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_groupby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.cluster.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    clusters_seen = set()
+    for rec in data["records"]:
+        assert rec["nodeName"] == ""
+        assert rec["condition"] == "no_data"
+        # Each cluster has 2 nodes -> nodeCountsByReadiness {ready:2, notReady:0}
+        assert rec["nodeCountsByReadiness"] == {"ready": 2, "notReady": 0}
+        # Each cluster has 2 pods (1 per node).
+        assert rec["podCountsByPhase"]["running"] == 2
+        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_nodes_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/nodes_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_nodes: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = requests.post(
+            signoz.self.host_configs["8080"].get(ENDPOINT),
+            headers={"authorization": f"Bearer {token}"},
+            json={
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+                # Exclude the dataset's carrier phantom (see test_nodes_condition_latest_wins).
+                "filter": {"expression": "k8s.node.name CONTAINS 'page-'"},
+            },
+            timeout=5,
+        )
+        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} records, got {len(data['records'])}"
+        seen_nodes.extend(r["nodeName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_nodes) == K
+    assert set(seen_nodes) == {f"page-n{i}" for i in range(1, K + 1)}
+
+
+def test_nodes_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/nodes_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+            "filter": {"expression": "k8s.node.name CONTAINS 'page-'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+# orderBy keys per nodes_constants.go:33-37.
+@pytest.mark.parametrize(
+    "column",
+    ["cpu", "cpu_allocatable", "memory", "memory_allocatable"],
+)
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_nodes_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    direction: str,
+) -> 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/nodes_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+            "filter": {"expression": "k8s.node.name CONTAINS 'order-'"},
+        },
+        timeout=5,
+    )
+    ctx = f"orderBy={column} {direction}"
+    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+    data = response.json()["data"]
+    assert data["total"] == K, f"{ctx}: total={data['total']}"
+    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_nodes_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """Records sorted by nodeCPU in the requested direction."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/nodes_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+            "filter": {"expression": "k8s.node.name CONTAINS 'page-'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    cpu_values = [r["nodeCPU"] 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_nodes_orderby_by_node_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.node.name with empty groupBy returns nodes 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/nodes_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.node.name"}, "direction": direction},
+            "filter": {"expression": "k8s.node.name CONTAINS 'order-'"},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["nodeName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"node.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": "condition"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_condition_rejected",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "k8s.node.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "k8s.cluster.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_nodename_with_groupby",
+        ),
+    ],
+)
+def test_nodes_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableNodes.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/nodes.go:51-102."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"

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

@@ -0,0 +1,653 @@
+"""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 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+@pytest.mark.parametrize(
+    "expression,expected",
+    [
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND env = 'prod'",
+            {"web-a-prod", "api-a-prod"},
+            id="and",
+        ),
+        pytest.param(
+            "k8s.namespace.name IN ('web-a-prod', 'api-b-dev')",
+            {"web-a-prod", "api-b-dev"},
+            id="in",
+        ),
+        pytest.param(
+            "k8s.cluster.name NOT IN ('cluster-a')",
+            {"web-b-prod", "web-b-dev", "api-b-prod", "api-b-dev"},
+            id="not_in",
+        ),
+        pytest.param(
+            "k8s.namespace.name CONTAINS 'web'",
+            {"web-a-prod", "web-a-dev", "web-b-prod", "web-b-dev"},
+            id="contains",
+        ),
+        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(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected: set,
+) -> None:
+    """Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
+    return exactly the matching 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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == expected
+    assert data["total"] == len(expected)
+
+
+@pytest.mark.parametrize(
+    "expression,err_substr",
+    [
+        pytest.param("k8s.namespace.namee = 'web-a-prod'", "k8s.namespace.namee", id="bad_attr_name"),
+        pytest.param("k8s.namespace.name =", None, id="trailing_op"),
+        pytest.param("(k8s.namespace.name = 'web-a-prod'", None, id="unclosed_paren"),
+    ],
+)
+def test_namespaces_filter_invalid(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    err_substr,
+) -> None:
+    """Invalid filter expressions (typo'd attribute key, malformed grammar) return
+    400 invalid_input with structured errors; bad attribute keys are named in them."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+    if err_substr is not None:
+        assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
+
+
+def test_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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.name = 'pp-ns'"},
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.cluster.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+            signoz.self.host_configs["8080"].get(ENDPOINT),
+            headers={"authorization": f"Bearer {token}"},
+            json={
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+            },
+            timeout=5,
+        )
+        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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+        },
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+# orderBy keys per namespaces_constants.go (cpu, memory only).
+@pytest.mark.parametrize("column", ["cpu", "memory"])
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_namespaces_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    direction: str,
+) -> 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
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+        },
+        timeout=5,
+    )
+    ctx = f"orderBy={column} {direction}"
+    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+    data = response.json()["data"]
+    assert data["total"] == K, f"{ctx}: total={data['total']}"
+    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json={
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.namespace.name"}, "direction": direction},
+        },
+        timeout=5,
+    )
+    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 = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"