chore: add normalize for QueryRangeRequest

.github/workflows/integrationci.yaml

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

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/Panel.tsx

@@ -6,10 +6,6 @@ import { EllipsisVertical } from '@signozhq/icons';
 import type { DashboardtypesPanelDTO } from 'api/generated/services/sigNoz.schemas';
 import cx from 'classnames';
 
-import type { DashboardSection } from '../../utils';
-import type { DeletePanelArgs } from './hooks/useDeletePanel';
-import type { MovePanelArgs } from './hooks/useMovePanelToSection';
-import PanelActionsMenu from './PanelActionsMenu/PanelActionsMenu';
 import styles from './Panel.module.scss';
 
 interface Props {
@@ -21,22 +17,9 @@ interface Props {
 	 * data. Currently unused on purpose.
 	 */
 	isVisible?: boolean;
-	/** Section actions — present only in editable sectioned mode. */
-	currentLayoutIndex?: number;
-	sections?: DashboardSection[];
-	onMovePanel?: (args: MovePanelArgs) => void;
-	onDeletePanel?: (args: DeletePanelArgs) => void;
 }
 
-function Panel({
-	panel,
-	panelId,
-	isVisible,
-	currentLayoutIndex,
-	sections,
-	onMovePanel,
-	onDeletePanel,
-}: Props): JSX.Element {
+function Panel({ panel, panelId, isVisible }: Props): JSX.Element {
 	const name = panel?.spec?.display?.name || `Panel ${panelId.slice(0, 6)}`;
 	const description = panel?.spec?.display?.description;
 	const kind = panel?.spec?.plugin?.kind?.replace(/^signoz\//, '') ?? 'unknown';
@@ -65,17 +48,7 @@ function Panel({
 					</Typography.Text>
 					<Badge className={styles.badge}>{kind}</Badge>
 				</div>
-				{currentLayoutIndex !== undefined && (onMovePanel || onDeletePanel) ? (
-					<PanelActionsMenu
-						panelId={panelId}
-						currentLayoutIndex={currentLayoutIndex}
-						sections={sections ?? []}
-						onMovePanel={onMovePanel}
-						onDeletePanel={onDeletePanel}
-					/>
-				) : (
-					<EllipsisVertical size={14} />
-				)}
+				<EllipsisVertical size={14} />
 			</div>
 
 			<div className={styles.body}>

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/PanelActionsMenu/PanelActionsMenu.module.scss

@@ -1,16 +0,0 @@
-.trigger {
-	display: inline-flex;
-	align-items: center;
-	justify-content: center;
-	padding: 2px;
-	background: transparent;
-	border: none;
-	border-radius: 2px;
-	color: var(--bg-vanilla-400, #8993ae);
-	cursor: pointer;
-
-	&:hover {
-		color: var(--bg-vanilla-100, #fff);
-		background: var(--bg-slate-400, #1d212d);
-	}
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/PanelActionsMenu/PanelActionsMenu.tsx

@@ -1,95 +0,0 @@
-import { useMemo } from 'react';
-import { EllipsisVertical, FolderInput, Trash2 } from '@signozhq/icons';
-import { DropdownMenuSimple } from '@signozhq/ui/dropdown-menu';
-import type { MenuItem } from '@signozhq/ui/dropdown-menu';
-
-import type { DashboardSection } from '../../../utils';
-import type { DeletePanelArgs } from '../hooks/useDeletePanel';
-import type { MovePanelArgs } from '../hooks/useMovePanelToSection';
-import styles from './PanelActionsMenu.module.scss';
-
-interface Props {
-	panelId: string;
-	currentLayoutIndex: number;
-	sections: DashboardSection[];
-	onMovePanel?: (args: MovePanelArgs) => void;
-	onDeletePanel?: (args: DeletePanelArgs) => void;
-}
-
-function PanelActionsMenu({
-	panelId,
-	currentLayoutIndex,
-	sections,
-	onMovePanel,
-	onDeletePanel,
-}: Props): JSX.Element {
-	const items = useMemo<MenuItem[]>(() => {
-		const result: MenuItem[] = [];
-
-		if (onMovePanel) {
-			const targets = sections.filter(
-				(s) => s.title && s.layoutIndex !== currentLayoutIndex,
-			);
-			if (targets.length === 0) {
-				result.push({
-					key: 'move',
-					label: 'Move to section',
-					icon: <FolderInput size={14} />,
-					disabled: true,
-				});
-			} else {
-				result.push({
-					key: 'move',
-					label: 'Move to section',
-					icon: <FolderInput size={14} />,
-					children: targets.map((s) => ({
-						key: `move-${s.layoutIndex}`,
-						label: s.title,
-						onClick: (): void =>
-							onMovePanel({
-								panelId,
-								fromLayoutIndex: currentLayoutIndex,
-								toLayoutIndex: s.layoutIndex,
-							}),
-					})),
-				});
-			}
-		}
-
-		if (onDeletePanel) {
-			if (result.length > 0) {
-				result.push({ type: 'divider' });
-			}
-			result.push({
-				key: 'delete-panel',
-				danger: true,
-				icon: <Trash2 size={14} />,
-				label: 'Delete panel',
-				onClick: (): void =>
-					onDeletePanel({ panelId, layoutIndex: currentLayoutIndex }),
-			});
-		}
-
-		return result;
-	}, [sections, currentLayoutIndex, panelId, onMovePanel, onDeletePanel]);
-
-	return (
-		<DropdownMenuSimple menu={{ items }}>
-			<button
-				type="button"
-				className={styles.trigger}
-				aria-label="Panel actions"
-				data-testid={`panel-actions-${panelId}`}
-				// Stop pointer/mouse down from reaching the RGL drag handle this
-				// button lives inside, so opening the menu never starts a panel drag.
-				onPointerDown={(e): void => e.stopPropagation()}
-				onMouseDown={(e): void => e.stopPropagation()}
-				onClick={(e): void => e.stopPropagation()}
-			>
-				<EllipsisVertical size={14} />
-			</button>
-		</DropdownMenuSimple>
-	);
-}
-
-export default PanelActionsMenu;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/PanelTypeSelectionModal/PanelTypeSelectionModal.module.scss

@@ -1,22 +0,0 @@
-.grid {
-	display: grid;
-	grid-template-columns: repeat(2, 1fr);
-	gap: 8px;
-}
-
-.typeButton {
-	display: flex;
-	align-items: center;
-	gap: 8px;
-	padding: 12px;
-	background: var(--bg-ink-400, #0b0c0e);
-	border: 1px solid var(--bg-slate-400, #1d212d);
-	border-radius: 4px;
-	color: var(--bg-vanilla-100, #fff);
-	cursor: pointer;
-	text-align: left;
-
-	&:hover {
-		border-color: var(--bg-robin-500);
-	}
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/PanelTypeSelectionModal/PanelTypeSelectionModal.tsx

@@ -1,82 +0,0 @@
-import { Modal } from 'antd';
-import {
-	BarChart,
-	ChartLine,
-	ChartPie,
-	Hash,
-	List,
-	Table,
-} from '@signozhq/icons';
-
-import styles from './PanelTypeSelectionModal.module.scss';
-
-interface PanelType {
-	pluginKind: string;
-	label: string;
-	icon: JSX.Element;
-}
-
-const PANEL_TYPES: PanelType[] = [
-	{
-		pluginKind: 'signoz/TimeSeriesPanel',
-		label: 'Time Series',
-		icon: <ChartLine size={16} />,
-	},
-	{ pluginKind: 'signoz/NumberPanel', label: 'Value', icon: <Hash size={16} /> },
-	{ pluginKind: 'signoz/TablePanel', label: 'Table', icon: <Table size={16} /> },
-	{
-		pluginKind: 'signoz/BarChartPanel',
-		label: 'Bar Chart',
-		icon: <BarChart size={16} />,
-	},
-	{
-		pluginKind: 'signoz/PieChartPanel',
-		label: 'Pie Chart',
-		icon: <ChartPie size={16} />,
-	},
-	{
-		pluginKind: 'signoz/HistogramPanel',
-		label: 'Histogram',
-		icon: <BarChart size={16} />,
-	},
-	{ pluginKind: 'signoz/ListPanel', label: 'List', icon: <List size={16} /> },
-];
-
-interface Props {
-	open: boolean;
-	onClose: () => void;
-	onSelect: (pluginKind: string) => void;
-}
-
-function PanelTypeSelectionModal({
-	open,
-	onClose,
-	onSelect,
-}: Props): JSX.Element {
-	return (
-		<Modal
-			open={open}
-			title="Select a panel type"
-			onCancel={onClose}
-			footer={null}
-			destroyOnClose
-		>
-			<div className={styles.grid}>
-				{PANEL_TYPES.map((type) => (
-					<button
-						key={type.pluginKind}
-						type="button"
-						className={styles.typeButton}
-						data-testid={`panel-type-${type.pluginKind}`}
-						onClick={(): void => onSelect(type.pluginKind)}
-					>
-						{type.icon}
-						{type.label}
-					</button>
-				))}
-			</div>
-		</Modal>
-	);
-}
-
-export default PanelTypeSelectionModal;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/hooks/useAddPanelToSection.ts

@@ -1,76 +0,0 @@
-import { useCallback } from 'react';
-import { v4 as uuid } from 'uuid';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import {
-	addPanelToSectionOps,
-	createDefaultPanel,
-	panelRef,
-} from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-interface Params {
-	sections: DashboardSection[];
-}
-
-export interface AddPanelArgs {
-	layoutIndex: number;
-	pluginKind: string;
-}
-
-/**
- * Creates a new panel and places its item ref at the bottom of the target
- * section, as one atomic patch. Structure-only: the panel is a valid minimal
- * placeholder (its query is filled in once the panel editor lands).
- */
-export function useAddPanelToSection({
-	sections,
-}: Params): (args: AddPanelArgs) => Promise<void> {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const { showErrorModal } = useErrorModal();
-
-	return useCallback(
-		async ({ layoutIndex, pluginKind }: AddPanelArgs): Promise<void> => {
-			if (!dashboardId) {
-				return;
-			}
-			const target = sections.find((s) => s.layoutIndex === layoutIndex);
-			if (!target) {
-				return;
-			}
-
-			const panelId = uuid();
-			const nextY = target.items.reduce(
-				(max, i) => Math.max(max, i.y + i.height),
-				0,
-			);
-
-			try {
-				await patchDashboardV2(
-					{ id: dashboardId },
-					addPanelToSectionOps({
-						panelId,
-						panel: createDefaultPanel(pluginKind),
-						layoutIndex,
-						item: {
-							x: 0,
-							y: nextY,
-							width: 6,
-							height: 6,
-							content: { $ref: panelRef(panelId) },
-						},
-					}),
-				);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			}
-		},
-		[sections, dashboardId, refetch, showErrorModal],
-	);
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/hooks/useDeletePanel.ts

@@ -1,54 +0,0 @@
-import { useCallback } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { removePanelOp, replaceSectionItemsOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-interface Params {
-	sections: DashboardSection[];
-}
-
-export interface DeletePanelArgs {
-	panelId: string;
-	layoutIndex: number;
-}
-
-/**
- * Removes a panel: drops its item ref from the section's items and deletes the
- * panel from `spec.panels`, as one atomic patch.
- */
-export function useDeletePanel({
-	sections,
-}: Params): (args: DeletePanelArgs) => Promise<void> {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const { showErrorModal } = useErrorModal();
-
-	return useCallback(
-		async ({ panelId, layoutIndex }: DeletePanelArgs): Promise<void> => {
-			if (!dashboardId) {
-				return;
-			}
-			const section = sections.find((s) => s.layoutIndex === layoutIndex);
-			if (!section) {
-				return;
-			}
-
-			const nextItems = section.items.filter((i) => i.id !== panelId);
-			try {
-				await patchDashboardV2({ id: dashboardId }, [
-					replaceSectionItemsOp(layoutIndex, nextItems),
-					removePanelOp(panelId),
-				]);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			}
-		},
-		[sections, dashboardId, refetch, showErrorModal],
-	);
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Panel/hooks/useMovePanelToSection.ts

@@ -1,79 +0,0 @@
-import { useCallback } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { movePanelBetweenSectionsOps } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-export interface MovePanelArgs {
-	panelId: string;
-	fromLayoutIndex: number;
-	toLayoutIndex: number;
-}
-
-interface Params {
-	sections: DashboardSection[];
-}
-
-/**
- * Relocates a panel's item ref from one section to another. The panel itself
- * stays in `spec.panels`; only the grid item moves, dropped into a free row at
- * the bottom of the target section. Persisted as one atomic patch.
- */
-export function useMovePanelToSection({
-	sections,
-}: Params): (args: MovePanelArgs) => Promise<void> {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const { showErrorModal } = useErrorModal();
-
-	return useCallback(
-		async ({
-			panelId,
-			fromLayoutIndex,
-			toLayoutIndex,
-		}: MovePanelArgs): Promise<void> => {
-			if (!dashboardId || fromLayoutIndex === toLayoutIndex) {
-				return;
-			}
-
-			const source = sections.find((s) => s.layoutIndex === fromLayoutIndex);
-			const target = sections.find((s) => s.layoutIndex === toLayoutIndex);
-			if (!source || !target) {
-				return;
-			}
-
-			const moved = source.items.find((i) => i.id === panelId);
-			if (!moved) {
-				return;
-			}
-
-			const sourceItems = source.items.filter((i) => i.id !== panelId);
-			// Place at a fresh row at the bottom of the target section.
-			const nextY = target.items.reduce(
-				(max, i) => Math.max(max, i.y + i.height),
-				0,
-			);
-			const targetItems = [...target.items, { ...moved, x: 0, y: nextY }];
-
-			try {
-				await patchDashboardV2(
-					{ id: dashboardId },
-					movePanelBetweenSectionsOps({
-						sourceIndex: fromLayoutIndex,
-						sourceItems,
-						targetIndex: toLayoutIndex,
-						targetItems,
-					}),
-				);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			}
-		},
-		[sections, dashboardId, refetch, showErrorModal],
-	);
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/AddSectionControl/AddSectionControl.module.scss

@@ -1,17 +0,0 @@
-.addButton {
-	display: inline-flex;
-	align-items: center;
-	gap: 6px;
-	margin-top: 8px;
-	padding: 8px 12px;
-	background: transparent;
-	border: 1px dashed var(--bg-slate-400, #1d212d);
-	border-radius: 4px;
-	color: var(--bg-vanilla-400, #8993ae);
-	cursor: pointer;
-
-	&:hover {
-		border-color: var(--bg-robin-500);
-		color: var(--bg-vanilla-100, #fff);
-	}
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/AddSectionControl/AddSectionControl.tsx

@@ -1,67 +0,0 @@
-import { useState } from 'react';
-import { Plus } from '@signozhq/icons';
-import type { DashboardtypesLayoutDTO } from 'api/generated/services/sigNoz.schemas';
-
-import type { DashboardSection } from '../../../utils';
-import { useAddSection } from '../hooks/useAddSection';
-import { useFirstSectionMigration } from '../hooks/useFirstSectionMigration';
-import FirstSectionMigrationModal from '../FirstSectionMigrationModal';
-import styles from './AddSectionControl.module.scss';
-
-const DEFAULT_SECTION_TITLE = 'New section';
-
-interface Props {
-	sections: DashboardSection[];
-	layouts: DashboardtypesLayoutDTO[] | undefined | null;
-	isSectioned: boolean;
-}
-
-function AddSectionControl({
-	sections,
-	layouts,
-	isSectioned,
-}: Props): JSX.Element {
-	const [isMigrationOpen, setIsMigrationOpen] = useState(false);
-	const { addSection } = useAddSection({ layouts });
-	const { migrate, isSaving } = useFirstSectionMigration({ sections });
-
-	// Free-flowing dashboard with existing panels → must migrate before sections
-	// can coexist (every panel must belong to a section once any exists).
-	const needsMigration =
-		!isSectioned && sections.some((s) => s.items.length > 0);
-
-	const handleClick = (): void => {
-		if (needsMigration) {
-			setIsMigrationOpen(true);
-			return;
-		}
-		void addSection(DEFAULT_SECTION_TITLE);
-	};
-
-	const handleConfirmMigration = async (): Promise<void> => {
-		await migrate(DEFAULT_SECTION_TITLE);
-		setIsMigrationOpen(false);
-	};
-
-	return (
-		<>
-			<button
-				type="button"
-				className={styles.addButton}
-				onClick={handleClick}
-				data-testid="add-section"
-			>
-				<Plus size={14} />
-				Add section
-			</button>
-			<FirstSectionMigrationModal
-				open={isMigrationOpen}
-				isSaving={isSaving}
-				onClose={(): void => setIsMigrationOpen(false)}
-				onConfirm={handleConfirmMigration}
-			/>
-		</>
-	);
-}
-
-export default AddSectionControl;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/FirstSectionMigrationModal.tsx

@@ -1,41 +0,0 @@
-import { Modal } from 'antd';
-import { Typography } from '@signozhq/ui/typography';
-
-interface Props {
-	open: boolean;
-	isSaving: boolean;
-	onClose: () => void;
-	onConfirm: () => void;
-}
-
-/**
- * Shown when the user adds the first section to a free-flowing dashboard that
- * already has panels. Confirms grouping the existing panels into a section
- * before proceeding.
- */
-function FirstSectionMigrationModal({
-	open,
-	isSaving,
-	onClose,
-	onConfirm,
-}: Props): JSX.Element {
-	return (
-		<Modal
-			open={open}
-			title="Group panels into sections?"
-			onCancel={onClose}
-			onOk={onConfirm}
-			okText="Continue"
-			okButtonProps={{ disabled: isSaving, 'data-testid': 'confirm-migration' }}
-			destroyOnClose
-		>
-			<Typography.Text>
-				This dashboard&apos;s panels are currently free-flowing. Adding a section
-				will move the existing panels into their own section, and a new empty
-				section will be added below. You can rename sections afterwards.
-			</Typography.Text>
-		</Modal>
-	);
-}
-
-export default FirstSectionMigrationModal;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/RenameSectionModal.tsx

@@ -1,64 +0,0 @@
-import { useEffect, useState } from 'react';
-import { Modal } from 'antd';
-import { Input } from '@signozhq/ui/input';
-
-interface Props {
-	open: boolean;
-	initialValue: string;
-	isSaving: boolean;
-	onClose: () => void;
-	onSubmit: (title: string) => void;
-}
-
-function RenameSectionModal({
-	open,
-	initialValue,
-	isSaving,
-	onClose,
-	onSubmit,
-}: Props): JSX.Element {
-	const [value, setValue] = useState<string>(initialValue);
-
-	// Reseed the field each time the modal opens.
-	useEffect(() => {
-		if (open) {
-			setValue(initialValue);
-		}
-	}, [open, initialValue]);
-
-	const submit = (): void => {
-		const trimmed = value.trim();
-		if (trimmed) {
-			onSubmit(trimmed);
-		}
-	};
-
-	return (
-		<Modal
-			open={open}
-			title="Rename section"
-			onCancel={onClose}
-			onOk={submit}
-			okText="Rename"
-			okButtonProps={{ disabled: isSaving || !value.trim() }}
-			destroyOnClose
-		>
-			<Input
-				testId="rename-section-input"
-				autoFocus
-				value={value}
-				maxLength={120}
-				placeholder="Section name"
-				onChange={(e): void => setValue(e.target.value)}
-				onKeyDown={(e): void => {
-					if (e.key === 'Enter') {
-						e.preventDefault();
-						submit();
-					}
-				}}
-			/>
-		</Modal>
-	);
-}
-
-export default RenameSectionModal;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/Section/Section.tsx

@@ -1,45 +1,17 @@
 import { useRef, useState } from 'react';
-import { Modal } from 'antd';
 
 import { useIntersectionObserver } from 'hooks/useIntersectionObserver';
 
 import type { DashboardSection } from '../../../utils';
-import type { AddPanelArgs } from '../../Panel/hooks/useAddPanelToSection';
-import type { DeletePanelArgs } from '../../Panel/hooks/useDeletePanel';
-import type { MovePanelArgs } from '../../Panel/hooks/useMovePanelToSection';
-import PanelTypeSelectionModal from '../../Panel/PanelTypeSelectionModal/PanelTypeSelectionModal';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import { useDeleteSection } from '../hooks/useDeleteSection';
-import { useRenameSection } from '../hooks/useRenameSection';
-import { useToggleSectionCollapse } from '../hooks/useToggleSectionCollapse';
-import RenameSectionModal from '../RenameSectionModal';
 import SectionGrid from '../SectionGrid/SectionGrid';
-import SectionHeader, {
-	type SectionDragHandle,
-} from '../SectionHeader/SectionHeader';
+import SectionHeader from '../SectionHeader/SectionHeader';
 import styles from './Section.module.scss';
 
 interface Props {
 	section: DashboardSection;
-	/** Adds a panel to this section; present only in editable sectioned mode. */
-	onAddPanel?: (args: AddPanelArgs) => void;
-	/** All sections + per-panel handlers, for the panel "Move to section" / delete actions. */
-	sections?: DashboardSection[];
-	onMovePanel?: (args: MovePanelArgs) => void;
-	onDeletePanel?: (args: DeletePanelArgs) => void;
-	/** Provided by SortableSection in sectioned mode; absent for untitled/free-flow. */
-	dragHandle?: SectionDragHandle;
 }
 
-function Section({
-	section,
-	onAddPanel,
-	sections,
-	onMovePanel,
-	onDeletePanel,
-	dragHandle,
-}: Props): JSX.Element {
-	const isEditable = useDashboardStore((s) => s.isEditable);
+function Section({ section }: Props): JSX.Element {
 	const containerRef = useRef<HTMLDivElement>(null);
 	// Placeholder signal for lazy panel query-loading (consumed in a later PR):
 	// true once the section scrolls into (or near) the viewport.
@@ -47,48 +19,10 @@ function Section({
 		rootMargin: '200px',
 	});
 
-	const { open, toggle } = useToggleSectionCollapse({ sectionId: section.id });
+	const [open, setOpen] = useState<boolean>(section.open);
+	const toggle = (): void => setOpen((prev) => !prev);
 
-	const [isRenaming, setIsRenaming] = useState(false);
-	const { rename, isSaving } = useRenameSection({
-		layoutIndex: section.layoutIndex,
-	});
-
-	const handleRenameSubmit = async (title: string): Promise<void> => {
-		const ok = await rename(title);
-		if (ok) {
-			setIsRenaming(false);
-		}
-	};
-
-	const [isAddingPanel, setIsAddingPanel] = useState(false);
-	const handleSelectPanelType = (pluginKind: string): void => {
-		onAddPanel?.({ layoutIndex: section.layoutIndex, pluginKind });
-		setIsAddingPanel(false);
-	};
-
-	const { deleteSection } = useDeleteSection({ section });
-	const confirmDeleteSection = (): void => {
-		Modal.confirm({
-			title: `Delete section "${section.title ?? ''}"?`,
-			content: 'Panels in this section will be removed.',
-			okText: 'Delete',
-			okButtonProps: { danger: true },
-			centered: true,
-			onOk: () => deleteSection(),
-		});
-	};
-
-	const grid = (
-		<SectionGrid
-			items={section.items}
-			layoutIndex={section.layoutIndex}
-			isVisible={isVisible}
-			sections={sections}
-			onMovePanel={onMovePanel}
-			onDeletePanel={onDeletePanel}
-		/>
-	);
+	const grid = <SectionGrid items={section.items} isVisible={isVisible} />;
 
 	if (!section.title) {
 		// Untitled section — just the grid (no header chrome), but still observed
@@ -117,26 +51,8 @@ function Section({
 				open={open}
 				onToggle={toggle}
 				repeatVariable={section.repeatVariable}
-				dragHandle={dragHandle}
-				onRename={isEditable ? (): void => setIsRenaming(true) : undefined}
-				onAddPanel={
-					isEditable && onAddPanel ? (): void => setIsAddingPanel(true) : undefined
-				}
-				onDeleteSection={isEditable ? confirmDeleteSection : undefined}
 			/>
 			{open ? grid : null}
-			<RenameSectionModal
-				open={isRenaming}
-				initialValue={section.title}
-				isSaving={isSaving}
-				onClose={(): void => setIsRenaming(false)}
-				onSubmit={handleRenameSubmit}
-			/>
-			<PanelTypeSelectionModal
-				open={isAddingPanel}
-				onClose={(): void => setIsAddingPanel(false)}
-				onSelect={handleSelectPanelType}
-			/>
 		</div>
 	);
 }

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionActionsMenu/SectionActionsMenu.module.scss

@@ -1,16 +0,0 @@
-.trigger {
-	display: inline-flex;
-	align-items: center;
-	justify-content: center;
-	padding: 2px;
-	background: transparent;
-	border: none;
-	border-radius: 2px;
-	color: var(--bg-vanilla-400, #8993ae);
-	cursor: pointer;
-
-	&:hover {
-		color: var(--bg-vanilla-100, #fff);
-		background: var(--bg-slate-400, #1d212d);
-	}
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionActionsMenu/SectionActionsMenu.tsx

@@ -1,68 +0,0 @@
-import { useMemo } from 'react';
-import { EllipsisVertical, PenLine, Plus, Trash2 } from '@signozhq/icons';
-import { DropdownMenuSimple } from '@signozhq/ui/dropdown-menu';
-import type { MenuItem } from '@signozhq/ui/dropdown-menu';
-
-import styles from './SectionActionsMenu.module.scss';
-
-interface Props {
-	sectionId: string;
-	onAddPanel?: () => void;
-	onRename?: () => void;
-	onDeleteSection?: () => void;
-}
-
-function SectionActionsMenu({
-	sectionId,
-	onAddPanel,
-	onRename,
-	onDeleteSection,
-}: Props): JSX.Element {
-	const items = useMemo<MenuItem[]>(() => {
-		const result: MenuItem[] = [];
-		if (onAddPanel) {
-			result.push({
-				key: 'add-panel',
-				icon: <Plus size={14} />,
-				label: 'Add panel',
-				onClick: onAddPanel,
-			});
-		}
-		if (onRename) {
-			result.push({
-				key: 'rename',
-				icon: <PenLine size={14} />,
-				label: 'Rename section',
-				onClick: onRename,
-			});
-		}
-		if (onDeleteSection) {
-			result.push(
-				{ type: 'divider' },
-				{
-					key: 'delete-section',
-					danger: true,
-					icon: <Trash2 size={14} />,
-					label: 'Delete section',
-					onClick: onDeleteSection,
-				},
-			);
-		}
-		return result;
-	}, [onAddPanel, onRename, onDeleteSection]);
-
-	return (
-		<DropdownMenuSimple menu={{ items }}>
-			<button
-				type="button"
-				className={styles.trigger}
-				aria-label="Section actions"
-				data-testid={`dashboard-section-actions-${sectionId}`}
-			>
-				<EllipsisVertical size={14} />
-			</button>
-		</DropdownMenuSimple>
-	);
-}
-
-export default SectionActionsMenu;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionDragPreview/SectionDragPreview.module.scss

@@ -1,7 +0,0 @@
-.preview {
-	border: 1px solid var(--bg-robin-500);
-	border-radius: 4px;
-	background: var(--bg-ink-400, #0b0c0e);
-	box-shadow: 0 8px 24px rgb(0 0 0 / 40%);
-	cursor: grabbing;
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionDragPreview/SectionDragPreview.tsx

@@ -1,32 +0,0 @@
-import type { DashboardSection } from '../../../utils';
-import SectionHeader from '../SectionHeader/SectionHeader';
-import styles from './SectionDragPreview.module.scss';
-
-interface Props {
-	section: DashboardSection;
-}
-
-/**
- * Lightweight preview rendered inside the DragOverlay while a section is being
- * dragged. Deliberately header-only (no react-grid-layout) so the overlay is
- * cheap and never triggers RGL width re-measurement.
- */
-function SectionDragPreview({ section }: Props): JSX.Element {
-	const panelCount = section.items.length;
-	const title = `${section.title ?? ''} · ${panelCount} ${
-		panelCount === 1 ? 'panel' : 'panels'
-	}`;
-
-	return (
-		<div className={styles.preview}>
-			<SectionHeader
-				sectionId={`${section.id}-preview`}
-				title={title}
-				open={false}
-				onToggle={(): void => undefined}
-			/>
-		</div>
-	);
-}
-
-export default SectionDragPreview;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionGrid/SectionGrid.tsx

@@ -2,35 +2,18 @@ import { useMemo } from 'react';
 import GridLayout, { WidthProvider, type Layout } from 'react-grid-layout';
 
 import type { DashboardSection } from '../../../utils';
-import type { DeletePanelArgs } from '../../Panel/hooks/useDeletePanel';
-import type { MovePanelArgs } from '../../Panel/hooks/useMovePanelToSection';
 import Panel from '../../Panel/Panel';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import { usePersistLayout } from '../hooks/usePersistLayout';
 import styles from './SectionGrid.module.scss';
 
 const ResponsiveGridLayout = WidthProvider(GridLayout);
 
 interface Props {
 	items: DashboardSection['items'];
-	layoutIndex: number;
 	/** Forwarded to panels — true when the parent section is in the viewport. */
 	isVisible?: boolean;
-	/** All sections + handlers — present only in editable sectioned mode (panel "Move to section" / delete). */
-	sections?: DashboardSection[];
-	onMovePanel?: (args: MovePanelArgs) => void;
-	onDeletePanel?: (args: DeletePanelArgs) => void;
 }
 
-function SectionGrid({
-	items,
-	layoutIndex,
-	isVisible,
-	sections,
-	onMovePanel,
-	onDeletePanel,
-}: Props): JSX.Element {
-	const isEditable = useDashboardStore((s) => s.isEditable);
+function SectionGrid({ items, isVisible }: Props): JSX.Element {
 	const rglLayout = useMemo<Layout[]>(
 		() =>
 			items.map((item) => ({
@@ -43,8 +26,6 @@ function SectionGrid({
 		[items],
 	);
 
-	const { handleLayoutChange } = usePersistLayout({ layoutIndex, items });
-
 	return (
 		<ResponsiveGridLayout
 			className={styles.grid}
@@ -53,24 +34,13 @@ function SectionGrid({
 			autoSize
 			useCSSTransforms
 			layout={rglLayout}
-			draggableHandle=".panel-drag-handle"
-			isDraggable={isEditable}
-			isResizable={isEditable}
-			onDragStop={handleLayoutChange}
-			onResizeStop={handleLayoutChange}
+			isDraggable={false}
+			isResizable={false}
 			margin={[8, 8]}
 		>
 			{items.map((item) => (
 				<div key={item.id}>
-					<Panel
-						panel={item.panel}
-						panelId={item.id}
-						isVisible={isVisible}
-						currentLayoutIndex={layoutIndex}
-						sections={isEditable ? sections : undefined}
-						onMovePanel={isEditable ? onMovePanel : undefined}
-						onDeletePanel={isEditable ? onDeletePanel : undefined}
-					/>
+					<Panel panel={item.panel} panelId={item.id} isVisible={isVisible} />
 				</div>
 			))}
 		</ResponsiveGridLayout>

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionHeader/SectionHeader.tsx

@@ -1,29 +1,15 @@
-import type { DraggableAttributes } from '@dnd-kit/core';
-import type { SyntheticListenerMap } from '@dnd-kit/core/dist/hooks/utilities';
-import { ChevronDown, ChevronRight, GripVertical } from '@signozhq/icons';
+import { ChevronDown, ChevronRight } from '@signozhq/icons';
 import { Typography } from '@signozhq/ui/typography';
 import cx from 'classnames';
 
-import SectionActionsMenu from '../SectionActionsMenu/SectionActionsMenu';
 import styles from './SectionHeader.module.scss';
 
-export interface SectionDragHandle {
-	attributes: DraggableAttributes;
-	listeners: SyntheticListenerMap | undefined;
-	setActivatorNodeRef: (element: HTMLElement | null) => void;
-}
-
 interface Props {
 	sectionId: string;
 	title: string;
 	open: boolean;
 	onToggle: () => void;
 	repeatVariable?: string;
-	/** Provided by SortableSection in sectioned mode; absent for untitled/free-flow. */
-	dragHandle?: SectionDragHandle;
-	onRename?: () => void;
-	onAddPanel?: () => void;
-	onDeleteSection?: () => void;
 }
 
 function SectionHeader({
@@ -32,27 +18,9 @@ function SectionHeader({
 	open,
 	onToggle,
 	repeatVariable,
-	dragHandle,
-	onRename,
-	onAddPanel,
-	onDeleteSection,
 }: Props): JSX.Element {
-	const hasActions = !!(onAddPanel || onRename || onDeleteSection);
 	return (
 		<div className={cx(styles.header, { [styles.headerOpen]: open })}>
-			{dragHandle ? (
-				<button
-					type="button"
-					className={styles.dragHandle}
-					ref={dragHandle.setActivatorNodeRef}
-					aria-label="Drag to reorder section"
-					data-testid={`dashboard-section-drag-${sectionId}`}
-					{...dragHandle.attributes}
-					{...dragHandle.listeners}
-				>
-					<GripVertical size={14} />
-				</button>
-			) : null}
 			<button
 				type="button"
 				className={styles.toggle}
@@ -67,14 +35,6 @@ function SectionHeader({
 					</Typography.Text>
 				) : null}
 			</button>
-			{hasActions ? (
-				<SectionActionsMenu
-					sectionId={sectionId}
-					onAddPanel={onAddPanel}
-					onRename={onRename}
-					onDeleteSection={onDeleteSection}
-				/>
-			) : null}
 		</div>
 	);
 }

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SectionList.tsx

@@ -1,102 +0,0 @@
-import { useMemo } from 'react';
-import { closestCenter, DndContext, DragOverlay } from '@dnd-kit/core';
-import {
-	restrictToParentElement,
-	restrictToVerticalAxis,
-} from '@dnd-kit/modifiers';
-import {
-	SortableContext,
-	verticalListSortingStrategy,
-} from '@dnd-kit/sortable';
-import type { DashboardtypesLayoutDTO } from 'api/generated/services/sigNoz.schemas';
-
-import type { DashboardSection } from '../../utils';
-import { useAddPanelToSection } from '../Panel/hooks/useAddPanelToSection';
-import { useDeletePanel } from '../Panel/hooks/useDeletePanel';
-import { useMovePanelToSection } from '../Panel/hooks/useMovePanelToSection';
-import { useDashboardStore } from '../../store/useDashboardStore';
-import { useSectionDragReorder } from './hooks/useSectionDragReorder';
-import Section from './Section/Section';
-import SectionDragPreview from './SectionDragPreview/SectionDragPreview';
-import SortableSection from './SortableSection';
-
-interface Props {
-	sections: DashboardSection[];
-	layouts: DashboardtypesLayoutDTO[] | undefined | null;
-}
-
-function SectionList({ sections, layouts }: Props): JSX.Element {
-	const isEditable = useDashboardStore((s) => s.isEditable);
-
-	const {
-		sensors,
-		orderedSections,
-		activeSection,
-		onDragStart,
-		onDragEnd,
-		onDragCancel,
-	} = useSectionDragReorder({ sections, layouts });
-
-	const onAddPanel = useAddPanelToSection({ sections });
-	const onMovePanel = useMovePanelToSection({ sections });
-	const onDeletePanel = useDeletePanel({ sections });
-
-	// Only titled sections participate in reordering; untitled (free-flow)
-	// blocks render in place without a drag handle.
-	const sortableIds = useMemo(
-		() => orderedSections.filter((s) => s.title).map((s) => s.id),
-		[orderedSections],
-	);
-
-	if (!isEditable) {
-		return (
-			<>
-				{sections.map((section) => (
-					<Section key={section.id} section={section} />
-				))}
-			</>
-		);
-	}
-
-	return (
-		<DndContext
-			sensors={sensors}
-			collisionDetection={closestCenter}
-			modifiers={[restrictToVerticalAxis, restrictToParentElement]}
-			onDragStart={onDragStart}
-			onDragEnd={onDragEnd}
-			onDragCancel={onDragCancel}
-		>
-			<SortableContext items={sortableIds} strategy={verticalListSortingStrategy}>
-				{orderedSections.map((section) =>
-					section.title ? (
-						<SortableSection
-							key={section.id}
-							section={section}
-							sections={sections}
-							onAddPanel={onAddPanel}
-							onMovePanel={onMovePanel}
-							onDeletePanel={onDeletePanel}
-						/>
-					) : (
-						<Section
-							key={section.id}
-							section={section}
-							sections={sections}
-							onAddPanel={onAddPanel}
-							onMovePanel={onMovePanel}
-							onDeletePanel={onDeletePanel}
-						/>
-					),
-				)}
-			</SortableContext>
-			{/* dropAnimation disabled: optimistic reorder already places the section,
-			    so animating the overlay back would cause a visible snap/shake. */}
-			<DragOverlay dropAnimation={null}>
-				{activeSection ? <SectionDragPreview section={activeSection} /> : null}
-			</DragOverlay>
-		</DndContext>
-	);
-}
-
-export default SectionList;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/SortableSection.tsx

@@ -1,59 +0,0 @@
-import { useSortable } from '@dnd-kit/sortable';
-import { CSS } from '@dnd-kit/utilities';
-
-import type { DashboardSection } from '../../utils';
-import type { AddPanelArgs } from '../Panel/hooks/useAddPanelToSection';
-import type { DeletePanelArgs } from '../Panel/hooks/useDeletePanel';
-import type { MovePanelArgs } from '../Panel/hooks/useMovePanelToSection';
-import Section from './Section/Section';
-
-interface Props {
-	section: DashboardSection;
-	sections: DashboardSection[];
-	onAddPanel: (args: AddPanelArgs) => void;
-	onMovePanel: (args: MovePanelArgs) => void;
-	onDeletePanel: (args: DeletePanelArgs) => void;
-}
-
-function SortableSection({
-	section,
-	sections,
-	onAddPanel,
-	onMovePanel,
-	onDeletePanel,
-}: Props): JSX.Element {
-	const {
-		attributes,
-		listeners,
-		setNodeRef,
-		setActivatorNodeRef,
-		transform,
-		transition,
-		isDragging,
-	} = useSortable({ id: section.id });
-
-	// dnd-kit drives the drag transform per-frame, so this must be an inline
-	// style — there is no static-stylesheet equivalent for a live transform.
-	// While dragging, the original is hidden (the DragOverlay renders the moving
-	// preview); keeping it in place preserves the gap and lets siblings animate.
-	const style: React.CSSProperties = {
-		transform: CSS.Transform.toString(transform),
-		transition,
-		opacity: isDragging ? 0 : undefined,
-	};
-
-	return (
-		<div ref={setNodeRef} style={style}>
-			<Section
-				section={section}
-				sections={sections}
-				onAddPanel={onAddPanel}
-				onMovePanel={onMovePanel}
-				onDeletePanel={onDeletePanel}
-				dragHandle={{ attributes, listeners, setActivatorNodeRef }}
-			/>
-		</div>
-	);
-}
-
-export default SortableSection;

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useAddSection.ts

@@ -1,59 +0,0 @@
-import { useCallback, useState } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import type { DashboardtypesLayoutDTO } from 'api/generated/services/sigNoz.schemas';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import {
-	addSectionOp,
-	newGridLayout,
-	reorderLayoutsOp,
-} from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-
-interface Params {
-	layouts: DashboardtypesLayoutDTO[] | undefined | null;
-}
-
-interface Result {
-	addSection: (title: string) => Promise<void>;
-	isSaving: boolean;
-}
-
-/**
- * Appends an empty titled section. When the dashboard has no layouts yet, the
- * layouts array is created via a `replace` (an `add` to a missing/empty array
- * pointer is unreliable); otherwise a new Grid is appended.
- */
-export function useAddSection({ layouts }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [isSaving, setIsSaving] = useState(false);
-	const { showErrorModal } = useErrorModal();
-
-	const addSection = useCallback(
-		async (title: string): Promise<void> => {
-			const trimmed = title.trim();
-			if (!dashboardId || !trimmed) {
-				return;
-			}
-			const op =
-				!layouts || layouts.length === 0
-					? reorderLayoutsOp([newGridLayout(trimmed)])
-					: addSectionOp(trimmed);
-			try {
-				setIsSaving(true);
-				await patchDashboardV2({ id: dashboardId }, [op]);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			} finally {
-				setIsSaving(false);
-			}
-		},
-		[layouts, dashboardId, refetch, showErrorModal],
-	);
-
-	return { addSection, isSaving };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useDeleteSection.ts

@@ -1,51 +0,0 @@
-import { useCallback, useState } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import type { DashboardtypesJSONPatchOperationDTO } from 'api/generated/services/sigNoz.schemas';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { removePanelOp, removeSectionOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-interface Params {
-	section: DashboardSection;
-}
-
-interface Result {
-	deleteSection: () => Promise<void>;
-	isSaving: boolean;
-}
-
-/**
- * Deletes a section: removes its Grid layout and deletes every panel it
- * contained from `spec.panels` (orphan cleanup), as one atomic patch.
- */
-export function useDeleteSection({ section }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [isSaving, setIsSaving] = useState(false);
-	const { showErrorModal } = useErrorModal();
-
-	const deleteSection = useCallback(async (): Promise<void> => {
-		if (!dashboardId) {
-			return;
-		}
-		const ops: DashboardtypesJSONPatchOperationDTO[] = section.items.map((i) =>
-			removePanelOp(i.id),
-		);
-		ops.push(removeSectionOp(section.layoutIndex));
-		try {
-			setIsSaving(true);
-			await patchDashboardV2({ id: dashboardId }, ops);
-			refetch();
-		} catch (error) {
-			showErrorModal(error as APIError);
-		} finally {
-			setIsSaving(false);
-		}
-	}, [section, dashboardId, refetch, showErrorModal]);
-
-	return { deleteSection, isSaving };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useFirstSectionMigration.ts

@@ -1,64 +0,0 @@
-import { useCallback, useState } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import type { DashboardtypesJSONPatchOperationDTO } from 'api/generated/services/sigNoz.schemas';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { addSectionOp, titleUntitledSectionOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-interface Params {
-	sections: DashboardSection[];
-}
-
-interface Result {
-	migrate: (newSectionTitle: string) => Promise<void>;
-	isSaving: boolean;
-}
-
-/**
- * Converts a free-flowing dashboard into a sectioned one: every existing
- * untitled layout that holds panels is titled in place ("Section 1", "Section
- * 2", …), then the brand-new section the user asked for is appended — all in one
- * atomic patch. Used once the user confirms the migration prompt.
- */
-export function useFirstSectionMigration({ sections }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [isSaving, setIsSaving] = useState(false);
-	const { showErrorModal } = useErrorModal();
-
-	const migrate = useCallback(
-		async (newSectionTitle: string): Promise<void> => {
-			const trimmed = newSectionTitle.trim();
-			if (!dashboardId || !trimmed) {
-				return;
-			}
-
-			const ops: DashboardtypesJSONPatchOperationDTO[] = [];
-			let counter = 1;
-			sections.forEach((s) => {
-				if (!s.title && s.items.length > 0) {
-					ops.push(titleUntitledSectionOp(s.layoutIndex, `Section ${counter}`));
-					counter += 1;
-				}
-			});
-			ops.push(addSectionOp(trimmed));
-
-			try {
-				setIsSaving(true);
-				await patchDashboardV2({ id: dashboardId }, ops);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			} finally {
-				setIsSaving(false);
-			}
-		},
-		[sections, dashboardId, refetch, showErrorModal],
-	);
-
-	return { migrate, isSaving };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/usePersistLayout.ts

@@ -1,97 +0,0 @@
-import { useCallback, useState } from 'react';
-import type { Layout } from 'react-grid-layout';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { replaceSectionItemsOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { GridItem } from '../../../utils';
-
-interface Params {
-	layoutIndex: number;
-	items: GridItem[];
-}
-
-interface Result {
-	handleLayoutChange: (rglLayout: Layout[]) => void;
-	isSaving: boolean;
-}
-
-/** Maps an RGL layout back onto the section's grid items, preserving panel refs. */
-function mergeRglLayout(rglLayout: Layout[], items: GridItem[]): GridItem[] {
-	const byId = new Map(items.map((item) => [item.id, item]));
-	return rglLayout
-		.map((entry) => {
-			const existing = byId.get(entry.i);
-			if (!existing) {
-				return null;
-			}
-			return {
-				...existing,
-				x: entry.x,
-				y: entry.y,
-				width: entry.w,
-				height: entry.h,
-			};
-		})
-		.filter((item): item is GridItem => item !== null);
-}
-
-function hasGeometryChanged(next: GridItem[], prev: GridItem[]): boolean {
-	if (next.length !== prev.length) {
-		return true;
-	}
-	const prevById = new Map(prev.map((item) => [item.id, item]));
-	return next.some((item) => {
-		const before = prevById.get(item.id);
-		if (!before) {
-			return true;
-		}
-		return (
-			before.x !== item.x ||
-			before.y !== item.y ||
-			before.width !== item.width ||
-			before.height !== item.height
-		);
-	});
-}
-
-/**
- * Persists panel geometry within a single section. Call the returned handler
- * from RGL's `onDragStop`/`onResizeStop` (stop events only — not continuous
- * `onLayoutChange`) to limit network churn.
- */
-export function usePersistLayout({ layoutIndex, items }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [isSaving, setIsSaving] = useState(false);
-	const { showErrorModal } = useErrorModal();
-
-	const handleLayoutChange = useCallback(
-		async (rglLayout: Layout[]): Promise<void> => {
-			if (!dashboardId) {
-				return;
-			}
-			const nextItems = mergeRglLayout(rglLayout, items);
-			if (!hasGeometryChanged(nextItems, items)) {
-				return;
-			}
-			try {
-				setIsSaving(true);
-				await patchDashboardV2({ id: dashboardId }, [
-					replaceSectionItemsOp(layoutIndex, nextItems),
-				]);
-				refetch();
-			} catch (error) {
-				showErrorModal(error as APIError);
-			} finally {
-				setIsSaving(false);
-			}
-		},
-		[dashboardId, items, layoutIndex, refetch, showErrorModal],
-	);
-
-	return { handleLayoutChange, isSaving };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useRenameSection.ts

@@ -1,50 +0,0 @@
-import { useCallback, useState } from 'react';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { renameSectionOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-
-interface Params {
-	layoutIndex: number;
-}
-
-interface Result {
-	rename: (title: string) => Promise<boolean>;
-	isSaving: boolean;
-}
-
-/** Renames a section's title via `replace /spec/layouts/<i>/spec/display/title`. */
-export function useRenameSection({ layoutIndex }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [isSaving, setIsSaving] = useState(false);
-	const { showErrorModal } = useErrorModal();
-
-	const rename = useCallback(
-		async (title: string): Promise<boolean> => {
-			const trimmed = title.trim();
-			if (!dashboardId || !trimmed) {
-				return false;
-			}
-			try {
-				setIsSaving(true);
-				await patchDashboardV2({ id: dashboardId }, [
-					renameSectionOp(layoutIndex, trimmed),
-				]);
-				refetch();
-				return true;
-			} catch (error) {
-				showErrorModal(error as APIError);
-				return false;
-			} finally {
-				setIsSaving(false);
-			}
-		},
-		[dashboardId, layoutIndex, refetch, showErrorModal],
-	);
-
-	return { rename, isSaving };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useSectionDragReorder.ts

@@ -1,125 +0,0 @@
-import { useCallback, useEffect, useMemo, useState } from 'react';
-import {
-	type DragEndEvent,
-	type DragStartEvent,
-	KeyboardSensor,
-	PointerSensor,
-	useSensor,
-	useSensors,
-} from '@dnd-kit/core';
-import { arrayMove, sortableKeyboardCoordinates } from '@dnd-kit/sortable';
-
-import { patchDashboardV2 } from 'api/generated/services/dashboard';
-import type { DashboardtypesLayoutDTO } from 'api/generated/services/sigNoz.schemas';
-import { useErrorModal } from 'providers/ErrorModalProvider';
-import APIError from 'types/api/error';
-
-import { reorderLayoutsOp } from '../../../patchOps';
-import { useDashboardStore } from '../../../store/useDashboardStore';
-import type { DashboardSection } from '../../../utils';
-
-interface Params {
-	sections: DashboardSection[];
-	layouts: DashboardtypesLayoutDTO[] | undefined | null;
-}
-
-interface Result {
-	sensors: ReturnType<typeof useSensors>;
-	/** Display order — optimistically reordered on drop so the UI doesn't wait on refetch. */
-	orderedSections: DashboardSection[];
-	/** The section currently being dragged (for the DragOverlay preview), or null. */
-	activeSection: DashboardSection | null;
-	onDragStart: (event: DragStartEvent) => void;
-	onDragEnd: (event: DragEndEvent) => void;
-	onDragCancel: () => void;
-}
-
-/**
- * Owns section-reorder drag state. Reorders happen optimistically in local
- * state (keyed by stable section id) and persist via a single
- * `replace /spec/layouts` patch; the optimistic order is cleared once fresh
- * server data arrives. Each section maps 1:1 to a Grid layout via `layoutIndex`,
- * so the new layouts array is rebuilt by mapping the reordered sections back.
- */
-export function useSectionDragReorder({ sections, layouts }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const refetch = useDashboardStore((s) => s.refetch);
-	const [activeId, setActiveId] = useState<string | null>(null);
-	const [localOrderIds, setLocalOrderIds] = useState<string[] | null>(null);
-	const { showErrorModal } = useErrorModal();
-
-	const sensors = useSensors(
-		useSensor(PointerSensor, { activationConstraint: { distance: 5 } }),
-		useSensor(KeyboardSensor, { coordinateGetter: sortableKeyboardCoordinates }),
-	);
-
-	// Server data is the source of truth — drop optimistic order whenever it changes.
-	useEffect(() => {
-		setLocalOrderIds(null);
-	}, [sections]);
-
-	const orderedSections = useMemo<DashboardSection[]>(() => {
-		if (!localOrderIds) {
-			return sections;
-		}
-		const byId = new Map(sections.map((s) => [s.id, s]));
-		const ordered = localOrderIds
-			.map((id) => byId.get(id))
-			.filter((s): s is DashboardSection => s !== undefined);
-		return ordered.length === sections.length ? ordered : sections;
-	}, [sections, localOrderIds]);
-
-	const onDragStart = useCallback((event: DragStartEvent): void => {
-		setActiveId(String(event.active.id));
-	}, []);
-
-	const onDragCancel = useCallback((): void => {
-		setActiveId(null);
-	}, []);
-
-	const onDragEnd = useCallback(
-		async (event: DragEndEvent): Promise<void> => {
-			setActiveId(null);
-			const { active, over } = event;
-			if (!over || active.id === over.id || !dashboardId || !layouts) {
-				return;
-			}
-
-			const oldIndex = orderedSections.findIndex((s) => s.id === active.id);
-			const newIndex = orderedSections.findIndex((s) => s.id === over.id);
-			if (oldIndex < 0 || newIndex < 0) {
-				return;
-			}
-
-			const newOrdered = arrayMove(orderedSections, oldIndex, newIndex);
-			setLocalOrderIds(newOrdered.map((s) => s.id));
-
-			const newLayouts = newOrdered
-				.map((s) => layouts[s.layoutIndex])
-				.filter((l): l is DashboardtypesLayoutDTO => l !== undefined);
-
-			try {
-				await patchDashboardV2({ id: dashboardId }, [reorderLayoutsOp(newLayouts)]);
-				refetch();
-			} catch (error) {
-				setLocalOrderIds(null); // revert optimistic order on failure
-				showErrorModal(error as APIError);
-			}
-		},
-		[orderedSections, layouts, dashboardId, refetch, showErrorModal],
-	);
-
-	const activeSection = useMemo(
-		() => orderedSections.find((s) => s.id === activeId) ?? null,
-		[orderedSections, activeId],
-	);
-
-	return {
-		sensors,
-		orderedSections,
-		activeSection,
-		onDragStart,
-		onDragEnd,
-		onDragCancel,
-	};
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/Section/hooks/useToggleSectionCollapse.ts

@@ -1,36 +0,0 @@
-import { useCallback } from 'react';
-
-import {
-	selectIsSectionOpen,
-	useDashboardStore,
-} from '../../../store/useDashboardStore';
-
-interface Params {
-	sectionId: string;
-}
-
-interface Result {
-	open: boolean;
-	toggle: () => void;
-}
-
-/**
- * Owns a section's expand/collapse state. Collapse is a frontend-only, per-user
- * preference (not in the dashboard spec): it lives in the persisted zustand
- * store, keyed by dashboardId + section id, and survives reloads. Default open.
- */
-export function useToggleSectionCollapse({ sectionId }: Params): Result {
-	const dashboardId = useDashboardStore((s) => s.dashboardId);
-	const open = useDashboardStore(selectIsSectionOpen(dashboardId, sectionId));
-	const toggleSectionCollapse = useDashboardStore(
-		(s) => s.toggleSectionCollapse,
-	);
-
-	const toggle = useCallback((): void => {
-		if (dashboardId) {
-			toggleSectionCollapse(dashboardId, sectionId);
-		}
-	}, [dashboardId, sectionId, toggleSectionCollapse]);
-
-	return { open, toggle };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/PanelsAndSectionsLayout/index.tsx

@@ -7,11 +7,8 @@ import type {
 	DashboardtypesPanelDTO,
 } from 'api/generated/services/sigNoz.schemas';
 
-import { useDashboardStore } from '../store/useDashboardStore';
 import { layoutsToSections } from '../utils';
-import AddSectionControl from './Section/AddSectionControl/AddSectionControl';
 import Section from './Section/Section/Section';
-import SectionList from './Section/SectionList';
 import styles from './PanelsAndSectionsLayout.module.scss';
 
 import 'react-grid-layout/css/styles.css';
@@ -23,8 +20,6 @@ interface Props {
 }
 
 function PanelsAndSectionsLayout({ layouts, panels }: Props): JSX.Element {
-	const isEditable = useDashboardStore((s) => s.isEditable);
-
 	const sections = useMemo(
 		() => layoutsToSections(layouts, panels),
 		[layouts, panels],
@@ -33,11 +28,6 @@ function PanelsAndSectionsLayout({ layouts, panels }: Props): JSX.Element {
 	const isEmpty =
 		sections.length === 0 || sections.every((s) => s.items.length === 0);
 
-	// Sectioned mode = at least one titled layout. Sections then become a
-	// reorderable list; otherwise the dashboard is a single free-flowing grid
-	// with no section chrome or reordering.
-	const isSectioned = useMemo(() => sections.some((s) => !!s.title), [sections]);
-
 	const renderContent = (): ReactNode => {
 		if (isEmpty) {
 			return (
@@ -52,27 +42,12 @@ function PanelsAndSectionsLayout({ layouts, panels }: Props): JSX.Element {
 			);
 		}
 
-		if (isSectioned) {
-			return <SectionList sections={sections} layouts={layouts} />;
-		}
-
 		return sections.map((section) => (
 			<Section key={section.id} section={section} />
 		));
 	};
 
-	return (
-		<div className={styles.body}>
-			{renderContent()}
-			{isEditable ? (
-				<AddSectionControl
-					sections={sections}
-					layouts={layouts}
-					isSectioned={isSectioned}
-				/>
-			) : null}
-		</div>
-	);
+	return <div className={styles.body}>{renderContent()}</div>;
 }
 
 export default PanelsAndSectionsLayout;

frontend/src/pages/DashboardPageV2/DashboardContainer/index.tsx

@@ -1,13 +1,10 @@
-import { useEffect, useMemo } from 'react';
+import { useMemo } from 'react';
 import { FullScreen, useFullScreenHandle } from 'react-full-screen';
 
 import type { DashboardtypesGettableDashboardV2DTO } from 'api/generated/services/sigNoz.schemas';
-import useComponentPermission from 'hooks/useComponentPermission';
-import { useAppContext } from 'providers/App/App';
 
 import DashboardDescription from './DashboardDescription';
 import PanelsAndSectionsLayout from './PanelsAndSectionsLayout';
-import { useDashboardStore } from './store/useDashboardStore';
 import styles from './DashboardContainer.module.scss';
 
 interface Props {
@@ -18,17 +15,6 @@ interface Props {
 function DashboardContainer({ dashboard, refetch }: Props): JSX.Element {
 	const fullScreenHandle = useFullScreenHandle();
 
-	const { user } = useAppContext();
-	const [editDashboard] = useComponentPermission(['edit_dashboard'], user.role);
-	const isEditable = !dashboard.locked && editDashboard;
-
-	// Publish edit context to the store so hooks/components read it from there
-	// instead of receiving dashboardId/isEditable/refetch as props down the tree.
-	const setEditContext = useDashboardStore((s) => s.setEditContext);
-	useEffect(() => {
-		setEditContext({ dashboardId: dashboard.id ?? '', isEditable, refetch });
-	}, [dashboard.id, isEditable, refetch, setEditContext]);
-
 	const { spec } = dashboard;
 	const layouts = useMemo(() => spec?.layouts ?? [], [spec?.layouts]);
 	const panels = useMemo(() => spec?.panels ?? {}, [spec?.panels]);

frontend/src/pages/DashboardPageV2/DashboardContainer/patchOps.ts

@@ -1,177 +0,0 @@
-import type {
-	DashboardGridItemDTO,
-	DashboardtypesJSONPatchOperationDTO,
-	DashboardtypesLayoutDTO,
-	DashboardtypesPanelDTO,
-} from 'api/generated/services/sigNoz.schemas';
-import { DashboardtypesJSONPatchOperationDTOOp } from 'api/generated/services/sigNoz.schemas';
-
-import type { GridItem } from './utils';
-
-/**
- * Pure RFC-6902 JSON-Patch builders for the V2 dashboard spec. These are
- * intentionally side-effect-free (no React, no network) so they can be unit
- * tested and reused by the layout hooks. JSON pointers target the postable
- * shape: `/spec/layouts/...`, `/spec/panels/...` (matches the existing V2
- * patches in DashboardSettings/General and DashboardDescription).
- */
-
-const { add, replace, remove } = DashboardtypesJSONPatchOperationDTOOp;
-
-const PANEL_REF_PREFIX = '#/spec/panels/';
-
-export function panelRef(panelId: string): string {
-	return `${PANEL_REF_PREFIX}${panelId}`;
-}
-
-/**
- * Builds a minimal, backend-valid panel for a given plugin kind. The spec
- * requires exactly one query whose plugin kind is allowed for the panel;
- * `signoz/BuilderQuery` is allowed for every panel kind and its contents are not
- * validated, so an empty builder query is the safe default. The real query is
- * filled in once the panel editor lands.
- */
-export function createDefaultPanel(pluginKind: string): DashboardtypesPanelDTO {
-	// The DTO types plugin/query kinds as large generated enum unions; the kind
-	// here is chosen dynamically by the user, so we build the structurally-valid
-	// shape and assert the type.
-	return {
-		kind: 'Panel',
-		spec: {
-			display: { name: 'New panel' },
-			plugin: { kind: pluginKind, spec: {} },
-			queries: [
-				{
-					kind: 'TimeSeriesQuery',
-					spec: { plugin: { kind: 'signoz/BuilderQuery', spec: { name: 'A' } } },
-				},
-			],
-		},
-	} as unknown as DashboardtypesPanelDTO;
-}
-
-/** Converts a UI grid item back into the spec's grid-item DTO shape. */
-export function gridItemToDTO(item: GridItem): DashboardGridItemDTO {
-	return {
-		x: item.x,
-		y: item.y,
-		width: item.width,
-		height: item.height,
-		content: { $ref: panelRef(item.id) },
-	};
-}
-
-/** Replace the entire items array of one section (used on panel move/resize). */
-export function replaceSectionItemsOp(
-	layoutIndex: number,
-	items: GridItem[],
-): DashboardtypesJSONPatchOperationDTO {
-	return {
-		op: replace,
-		path: `/spec/layouts/${layoutIndex}/spec/items`,
-		value: items.map(gridItemToDTO),
-	};
-}
-
-/** Replace the whole layouts array (used on section reorder — avoids move-index ambiguity). */
-export function reorderLayoutsOp(
-	layouts: DashboardtypesLayoutDTO[],
-): DashboardtypesJSONPatchOperationDTO {
-	return { op: replace, path: '/spec/layouts', value: layouts };
-}
-
-/** An empty titled Grid layout (one section). */
-export function newGridLayout(title: string): DashboardtypesLayoutDTO {
-	return {
-		kind: 'Grid' as DashboardtypesLayoutDTO['kind'],
-		spec: { display: { title }, items: [] },
-	};
-}
-
-/** Append a new, empty titled Grid section. */
-export function addSectionOp(
-	title: string,
-): DashboardtypesJSONPatchOperationDTO {
-	return { op: add, path: '/spec/layouts/-', value: newGridLayout(title) };
-}
-
-interface AddPanelToSectionArgs {
-	panelId: string;
-	panel: DashboardtypesPanelDTO;
-	layoutIndex: number;
-	item: DashboardGridItemDTO;
-}
-
-/** Add a panel to `spec.panels` and an item ref into a section, as one atomic patch. */
-export function addPanelToSectionOps({
-	panelId,
-	panel,
-	layoutIndex,
-	item,
-}: AddPanelToSectionArgs): DashboardtypesJSONPatchOperationDTO[] {
-	return [
-		{ op: add, path: `/spec/panels/${panelId}`, value: panel },
-		{ op: add, path: `/spec/layouts/${layoutIndex}/spec/items/-`, value: item },
-	];
-}
-
-interface MovePanelArgs {
-	sourceIndex: number;
-	sourceItems: GridItem[];
-	targetIndex: number;
-	targetItems: GridItem[];
-}
-
-/** Move a panel's item ref from one section to another (panel stays in spec.panels). */
-export function movePanelBetweenSectionsOps({
-	sourceIndex,
-	sourceItems,
-	targetIndex,
-	targetItems,
-}: MovePanelArgs): DashboardtypesJSONPatchOperationDTO[] {
-	return [
-		replaceSectionItemsOp(sourceIndex, sourceItems),
-		replaceSectionItemsOp(targetIndex, targetItems),
-	];
-}
-
-/** Rename an existing section's title. */
-export function renameSectionOp(
-	layoutIndex: number,
-	title: string,
-): DashboardtypesJSONPatchOperationDTO {
-	return {
-		op: replace,
-		path: `/spec/layouts/${layoutIndex}/spec/display/title`,
-		value: title,
-	};
-}
-
-/**
- * First-section migration: give an existing untitled (free-flowing) layout a
- * title, turning it into a section in place while preserving its panels.
- */
-export function titleUntitledSectionOp(
-	layoutIndex: number,
-	title: string,
-): DashboardtypesJSONPatchOperationDTO {
-	return {
-		op: add,
-		path: `/spec/layouts/${layoutIndex}/spec/display`,
-		value: { title },
-	};
-}
-
-/** Remove a section. Panel cleanup (orphaned refs) is handled by the caller. */
-export function removeSectionOp(
-	layoutIndex: number,
-): DashboardtypesJSONPatchOperationDTO {
-	return { op: remove, path: `/spec/layouts/${layoutIndex}` };
-}
-
-/** Remove a panel definition from `spec.panels`. */
-export function removePanelOp(
-	panelId: string,
-): DashboardtypesJSONPatchOperationDTO {
-	return { op: remove, path: `/spec/panels/${panelId}` };
-}

frontend/src/pages/DashboardPageV2/DashboardContainer/store/slices/collapseSlice.ts

@@ -1,35 +0,0 @@
-import type { StateCreator } from 'zustand';
-
-import type { DashboardStore } from '../useDashboardStore';
-
-/**
- * Section collapse state — frontend-only and persisted to localStorage. Keyed by
- * dashboardId → section stable id → open. An absent entry means "open" (the
- * default). This is intentionally NOT server state: collapse is a per-user UI
- * preference, so it lives here instead of in the dashboard spec.
- */
-export interface CollapseSlice {
-	collapsed: Record<string, Record<string, boolean>>;
-	toggleSectionCollapse: (dashboardId: string, sectionId: string) => void;
-}
-
-export const createCollapseSlice: StateCreator<
-	DashboardStore,
-	[['zustand/persist', unknown]],
-	[],
-	CollapseSlice
-> = (set, get) => ({
-	collapsed: {},
-	toggleSectionCollapse: (dashboardId, sectionId): void => {
-		const { collapsed } = get();
-		const current = collapsed[dashboardId]?.[sectionId];
-		// Absent → open by default, so the first toggle closes it.
-		const next = current === undefined ? false : !current;
-		set({
-			collapsed: {
-				...collapsed,
-				[dashboardId]: { ...collapsed[dashboardId], [sectionId]: next },
-			},
-		});
-	},
-});

frontend/src/pages/DashboardPageV2/DashboardContainer/store/slices/editContextSlice.ts

@@ -1,38 +0,0 @@
-import type { StateCreator } from 'zustand';
-
-import type { DashboardStore } from '../useDashboardStore';
-
-/**
- * Edit context shared across the V2 dashboard tree — the dashboard id, whether
- * the user can edit, and the react-query refetch. Set once by DashboardContainer
- * so hooks/components read it from the store instead of receiving it as props
- * through every layer. Not persisted.
- */
-export interface EditContextSlice {
-	dashboardId: string;
-	isEditable: boolean;
-	refetch: () => void;
-	setEditContext: (ctx: {
-		dashboardId: string;
-		isEditable: boolean;
-		refetch: () => void;
-	}) => void;
-}
-
-export const createEditContextSlice: StateCreator<
-	DashboardStore,
-	[['zustand/persist', unknown]],
-	[],
-	EditContextSlice
-> = (set) => ({
-	dashboardId: '',
-	isEditable: false,
-	refetch: (): void => undefined,
-	setEditContext: (ctx): void => {
-		set({
-			dashboardId: ctx.dashboardId,
-			isEditable: ctx.isEditable,
-			refetch: ctx.refetch,
-		});
-	},
-});

frontend/src/pages/DashboardPageV2/DashboardContainer/store/useDashboardStore.ts

@@ -1,44 +0,0 @@
-import { create } from 'zustand';
-import { persist } from 'zustand/middleware';
-
-import {
-	createEditContextSlice,
-	type EditContextSlice,
-} from './slices/editContextSlice';
-import {
-	createCollapseSlice,
-	type CollapseSlice,
-} from './slices/collapseSlice';
-
-export type DashboardStore = EditContextSlice & CollapseSlice;
-
-/**
- * V2 dashboard session store. Holds cross-cutting client state only — never the
- * dashboard spec (that stays in react-query via useGetDashboardV2). Two slices:
- * - edit-context: dashboardId / isEditable / refetch (set once, not persisted).
- * - collapse: per-section open state (frontend-only, persisted to localStorage).
- */
-export const useDashboardStore = create<DashboardStore>()(
-	persist(
-		(...a) => ({
-			...createEditContextSlice(...a),
-			...createCollapseSlice(...a),
-		}),
-		{
-			name: '@signoz/dashboard-v2',
-			// Persist only the collapse map — context (incl. the refetch fn) is transient.
-			partialize: (state) => ({ collapsed: state.collapsed }),
-		},
-	),
-);
-
-/** Selector: is a section open? Absent entry (or no dashboard) → open by default. */
-export const selectIsSectionOpen =
-	(dashboardId: string, sectionId: string) =>
-	(state: DashboardStore): boolean => {
-		if (!dashboardId) {
-			return true;
-		}
-		const value = state.collapsed[dashboardId]?.[sectionId];
-		return value === undefined ? true : value;
-	};

frontend/src/pages/DashboardPageV2/DashboardContainer/utils.ts

@@ -72,6 +72,7 @@ export interface DashboardSection {
 	/** Position of this section's Grid in `spec.layouts`. All JSON-Patch ops target by this. */
 	layoutIndex: number;
 	title: string | undefined;
+	open: boolean;
 	items: GridItem[];
 	repeatVariable: string | undefined;
 }
@@ -126,11 +127,15 @@ export function layoutsToSections(
 				.filter((it): it is GridItem => it !== null);
 
 			const title = spec?.display?.title;
+			// `open` defaults to true when no collapse field is set (the section
+			// is expanded by default).
+			const open = spec?.display?.collapse?.open !== false;
 
 			return {
 				id: getSectionStableId(items, idx),
 				layoutIndex: idx,
 				title,
+				open,
 				items,
 				repeatVariable: spec?.repeatVariable,
 			};

pkg/querier/querier.go

@@ -86,11 +86,12 @@ func New(
 
 func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (*qbtypes.QueryRangeResponse, error) {
 
-	// Coerce the window to epoch milliseconds up front so every downstream
-	// consumer (TimeRange, narrowWindowByTraceID, step interval, etc.) can
-	// safely assume ms regardless of the resolution the caller sent.
-	req.Start = querybuilder.ToMilliSecs(req.Start)
-	req.End = querybuilder.ToMilliSecs(req.End)
+	// Normalize Start/End to ms. UnmarshalJSON covers HTTP requests; callers
+	// that build the request programmatically skip it, so this is the catch-all
+	// (idempotent for the already-normalized path).
+	if err := req.Normalize(); err != nil {
+		return nil, err
+	}
 
 	tmplVars := req.Variables
 	if tmplVars == nil {
@@ -427,10 +428,12 @@ func (q *querier) resolveMetricMetadata(ctx context.Context, queries []qbtypes.Q
 
 func (q *querier) QueryRawStream(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, client *qbtypes.RawStream) {
 
-	// Coerce the window to epoch milliseconds up front (End may be 0 for the
-	// open-ended stream, which ToMilliSecs leaves untouched).
-	req.Start = querybuilder.ToMilliSecs(req.Start)
-	req.End = querybuilder.ToMilliSecs(req.End)
+	// Catch-all normalization for programmatic callers (see QueryRange). End is
+	// 0 here for the open-ended stream, which Normalize leaves untouched.
+	if err := req.Normalize(); err != nil {
+		client.Error <- err
+		return
+	}
 
 	event := &qbtypes.QBEvent{
 		Version:         "v5",

pkg/querybuilder/time.go

@@ -33,28 +33,6 @@ func ToNanoSecs(epoch uint64) uint64 {
 	return temp * uint64(math.Pow(10, float64(19-count)))
 }
 
-// ToMilliSecs takes an epoch whose resolution is inferred from its magnitude
-// (s/ms/µs/ns) and returns it in milliseconds. A millisecond epoch for the
-// current era has 13 digits (e.g. ~1.7e12 in 2026), so the value is scaled so
-// its digit-width matches: smaller values (seconds) are scaled up, larger ones
-// (micro/nanoseconds) are scaled down. Zero is returned unchanged.
-func ToMilliSecs(epoch uint64) uint64 {
-	if epoch == 0 {
-		return 0
-	}
-	temp := epoch
-	count := 0
-	for epoch != 0 {
-		epoch /= 10
-		count++
-	}
-	const msDigits = 13
-	if count < msDigits {
-		return temp * uint64(math.Pow(10, float64(msDigits-count)))
-	}
-	return temp / uint64(math.Pow(10, float64(count-msDigits)))
-}
-
 // TODO(srikanthccv): should these be rounded to nearest multiple of 60 instead of 5 if step > 60?
 // That would make graph look nice but "nice" but should be less important than the usefulness.
 func RecommendedStepInterval(start, end uint64) uint64 {

pkg/querybuilder/time_test.go

@@ -60,51 +60,3 @@ func TestToNanoSecs(t *testing.T) {
 		})
 	}
 }
-
-func TestToMilliSecs(t *testing.T) {
-	tests := []struct {
-		name     string
-		epoch    uint64
-		expected uint64
-	}{
-		{
-			name:     "10-digit Unix timestamp (seconds) - 2023-01-01 00:00:00 UTC",
-			epoch:    1672531200,    // seconds
-			expected: 1672531200000, // * 10^3
-		},
-		{
-			name:     "13-digit Unix timestamp (milliseconds) - already ms",
-			epoch:    1672531200000,
-			expected: 1672531200000, // unchanged
-		},
-		{
-			name:     "16-digit Unix timestamp (microseconds)",
-			epoch:    1672531200000000, // microseconds
-			expected: 1672531200000,    // / 10^3
-		},
-		{
-			name:     "19-digit Unix timestamp (nanoseconds)",
-			epoch:    1672531200000000000, // nanoseconds
-			expected: 1672531200000,       // / 10^6
-		},
-		{
-			name:     "Unix epoch start - zero is unchanged",
-			epoch:    0,
-			expected: 0,
-		},
-		{
-			name:     "Recent timestamp in seconds - 2024-05-25 12:00:00 UTC",
-			epoch:    1716638400,
-			expected: 1716638400000,
-		},
-	}
-
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			result := ToMilliSecs(tt.epoch)
-			if result != tt.expected {
-				t.Errorf("ToMilliSecs(%d) = %d, want %d", tt.epoch, result, tt.expected)
-			}
-		})
-	}
-}

pkg/types/querybuildertypes/querybuildertypesv5/req.go

@@ -12,6 +12,13 @@ import (
 	"github.com/swaggest/jsonschema-go"
 )
 
+const (
+	// minEpochMs and maxEpochMs bound a plausible ms timestamp to
+	// 1990-01-01 .. 2100-01-01, used to reject malformed Start/End values.
+	minEpochMs uint64 = 631_152_000_000
+	maxEpochMs uint64 = 4_102_444_800_000
+)
+
 type QueryEnvelope struct {
 	// Type is the type of the query.
 	Type QueryType `json:"type"` // "builder_query" | "builder_formula" | "builder_sub_query" | "builder_join" | "promql" | "clickhouse_sql"
@@ -549,7 +556,23 @@ func (r *QueryRangeRequest) SkipFillGaps(name string) bool {
 	return false
 }
 
-// UnmarshalJSON implements custom JSON unmarshaling to disallow unknown fields.
+// Normalize coerces Start and End to epoch milliseconds, inferring the source
+// resolution (s/ms/µs/ns) from each value's magnitude, and rejects non-zero
+// values outside the plausible 1990-2100 range. Lets downstream consumers
+// assume ms regardless of what the caller sent.
+func (r *QueryRangeRequest) Normalize() error {
+	start, err := toMilliSecs(r.Start)
+	if err != nil {
+		return err
+	}
+	end, err := toMilliSecs(r.End)
+	if err != nil {
+		return err
+	}
+	r.Start, r.End = start, end
+	return nil
+}
+
 func (r *QueryRangeRequest) UnmarshalJSON(data []byte) error {
 	// Define a type alias to avoid infinite recursion
 	type Alias QueryRangeRequest
@@ -609,6 +632,11 @@ func (r *QueryRangeRequest) UnmarshalJSON(data []byte) error {
 	// Copy the decoded values back to the original struct
 	*r = QueryRangeRequest(temp)
 
+	// Coerce Start/End to ms (and validate) at decode time for HTTP requests.
+	if err := r.Normalize(); err != nil {
+		return err
+	}
+
 	return nil
 }
 
@@ -662,3 +690,24 @@ func (r *QueryRangeRequest) GetQueriesSupportingZeroDefault() map[string]bool {
 
 	return canDefaultZero
 }
+
+// toMilliSecs scales an epoch to milliseconds based on its magnitude: seconds are
+// scaled up, micro/nanoseconds down, milliseconds left as-is. Zero is returned
+// unchanged. A non-zero result outside 1990-2100 is rejected as malformed.
+func toMilliSecs(epoch uint64) (uint64, error) {
+	var ms uint64
+	switch {
+	case epoch < 1e12: // seconds
+		ms = epoch * 1_000
+	case epoch < 1e15: // milliseconds
+		ms = epoch
+	case epoch < 1e18: // microseconds
+		ms = epoch / 1_000
+	default: // nanoseconds
+		ms = epoch / 1_000_000
+	}
+	if epoch != 0 && (ms < minEpochMs || ms > maxEpochMs) {
+		return 0, errors.NewInvalidInputf(errors.CodeInvalidInput, "timestamp %d is outside the supported range (1990-2100)", epoch)
+	}
+	return ms, nil
+}

pkg/types/querybuildertypes/querybuildertypesv5/req_test.go

@@ -1903,3 +1903,70 @@ func TestQueryRangeRequest_StepIntervalForQuery(t *testing.T) {
 		})
 	}
 }
+
+func TestQueryRangeRequest_Normalize(t *testing.T) {
+	tests := []struct {
+		name      string
+		start     uint64
+		end       uint64
+		wantStart uint64
+		wantEnd   uint64
+		wantErr   bool
+	}{
+		{
+			name:      "seconds are scaled up to ms",
+			start:     1672531200,    // 2023-01-01 in seconds
+			end:       1716638400,    // 2024-05-25 in seconds
+			wantStart: 1672531200000, // * 10^3
+			wantEnd:   1716638400000,
+		},
+		{
+			name:      "milliseconds pass through unchanged",
+			start:     1672531200000,
+			end:       1716638400000,
+			wantStart: 1672531200000,
+			wantEnd:   1716638400000,
+		},
+		{
+			name:      "microseconds are scaled down to ms",
+			start:     1672531200000000, // µs
+			end:       1716638400000000,
+			wantStart: 1672531200000, // / 10^3
+			wantEnd:   1716638400000,
+		},
+		{
+			name:      "nanoseconds are scaled down to ms",
+			start:     1672531200000000000, // ns
+			end:       1716638400000000000,
+			wantStart: 1672531200000, // / 10^6
+			wantEnd:   1716638400000,
+		},
+		{
+			name:      "zero end (open-ended stream) is left untouched",
+			start:     1672531200000,
+			end:       0,
+			wantStart: 1672531200000,
+			wantEnd:   0,
+		},
+		{
+			name:    "out-of-range timestamp is rejected",
+			start:   5_000_000_000_000, // ~year 2128 in ms, beyond the 2100 bound
+			end:     5_000_000_000_000,
+			wantErr: true,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			r := &QueryRangeRequest{Start: tt.start, End: tt.end}
+			err := r.Normalize()
+			if tt.wantErr {
+				require.Error(t, err)
+				return
+			}
+			require.NoError(t, err)
+			assert.Equal(t, tt.wantStart, r.Start)
+			assert.Equal(t, tt.wantEnd, r.End)
+		})
+	}
+}

tests/integration/testdata/inframonitoring/hosts_filter_dataset.jsonl

@@ -1,144 +0,0 @@
-{"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": "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": "prod-linux-1", "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": "prod-linux-1", "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": "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.cpu.time", "labels": {"host.name": "prod-linux-1", "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": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "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.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "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}
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tests/integration/testdata/inframonitoring/hosts_groupby_os_type.jsonl

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tests/integration/testdata/inframonitoring/hosts_missing_metrics.jsonl

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

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

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

@@ -1,72 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_value_accuracy_expected.json

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

tests/integration/testdata/inframonitoring/namespaces_filter_dataset.jsonl

@@ -1,144 +0,0 @@
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-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1b-uid", "k8s.pod.name": "web-a-prod-acc-p1b", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "api-b-dev-acc-p1a-uid", "k8s.pod.name": "api-b-dev-acc-p1a", "k8s.namespace.name": "api-b-dev", "k8s.cluster.name": "cluster-b", "env": "dev"}, "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": "api-b-dev-acc-p1b-uid", "k8s.pod.name": "api-b-dev-acc-p1b", "k8s.namespace.name": "api-b-dev", "k8s.cluster.name": "cluster-b", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "api-b-dev-acc-p1b-uid", "k8s.pod.name": "api-b-dev-acc-p1b", "k8s.namespace.name": "api-b-dev", "k8s.cluster.name": "cluster-b", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/namespaces_groupby.jsonl

@@ -1,36 +0,0 @@
-{"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}
-{"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":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","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":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","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":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_orderby.jsonl

@@ -1,45 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"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}
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tests/integration/testdata/inframonitoring/namespaces_pagination.jsonl

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

@@ -1,63 +0,0 @@
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","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":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","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/namespaces_value_accuracy.jsonl

@@ -1,45 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-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":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_value_accuracy_expected.json

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

tests/integration/testdata/inframonitoring/nodes_conditions.jsonl

@@ -1,33 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -1,54 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_conditions_transition.jsonl

@@ -1,18 +0,0 @@
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-{"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}
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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":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_filter_dataset.jsonl

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

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

tests/integration/testdata/inframonitoring/nodes_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_no_pods.jsonl

@@ -1,18 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"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

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

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

@@ -1,30 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_value_accuracy.jsonl

@@ -1,36 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy_expected.json

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

tests/integration/testdata/inframonitoring/pods_filter_dataset.jsonl

@@ -1,168 +0,0 @@
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-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

@@ -1,84 +0,0 @@
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-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","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":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_orderby.jsonl

@@ -1,105 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/pods_pagination.jsonl

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

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

@@ -1,126 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_phases_transition.jsonl

@@ -1,21 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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.memory.working_set","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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.memory_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","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.jsonl

@@ -1,42 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_value_accuracy_expected.json

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

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

@@ -1,634 +0,0 @@
-"""Integration tests for v2 infra-monitoring host endpoints."""
-
-import json
-from datetime import UTC, datetime, timedelta
-from http import HTTPStatus
-
-import pytest
-import requests
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.fs import get_testdata_file_path
-from fixtures.metrics import Metrics
-from fixtures.querier import compare_values
-
-ENDPOINT = "/api/v2/infra_monitoring/hosts"
-
-
-def test_hosts_accuracy(
-    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/contract + 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"]
-
-    # Shape/contract.
-    assert data["total"] == len(expected["records"])
-    assert len(data["records"]) == len(expected["records"])
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-    assert {r["hostName"] for r in data["records"]} == set(exp_by_host.keys())
-
-    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}"
-
-        # Exact metric values.
-        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, with undistorted per-host metric values."""
-    # Every host in hosts_filter_dataset.jsonl carries the same sample pattern
-    # as acc-h1 in hosts_value_accuracy.jsonl, so all filtered records must
-    # resolve to these exact values (mirrors hosts_value_accuracy_expected.json
-    # acc-h1).
-    expected_values = {
-        "cpu": 0.4444444444444445,
-        "memory": 0.205,
-        "wait": 0.027777777777777776,
-        "load15": 1.525,
-        "diskUsage": 0.48095238095238096,
-    }
-    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)
-
-    # Filtering must not distort per-host aggregation values.
-    for record in data["records"]:
-        for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
-            assert compare_values(record[field], expected_values[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {expected_values[field]}"
-
-
-@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
-
-
-@pytest.mark.parametrize(
-    "dataset,seed_age_min,window_min,group_key,expected_counts,expected_values",
-    [
-        # groupBy=[host.name]: one record per distinct host. Per-host status is
-        # not pinned by the dataset, so expected counts are None (assert
-        # active+inactive == 1 instead).
-        pytest.param(
-            "hosts_filter_dataset.jsonl",
-            4,
-            5,
-            "host.name",
-            {
-                "prod-linux-1": None,
-                "prod-windows-1": None,
-                "dev-linux-1": None,
-                "dev-windows-1": None,
-            },
-            None,
-            id="host_name",
-        ),
-        # groupBy=[os.type]: aggregates active/inactive counts and metric values
-        # per os.type. Seed had linux: 2 active + 1 inactive, windows: 1 active
-        # + 2 inactive. Aggregated metric 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.
-        pytest.param(
-            "hosts_groupby_os_type.jsonl",
-            24,
-            30,
-            "os.type",
-            {"linux": (2, 1), "windows": (1, 2)},
-            {
-                "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,
-                },
-            },
-            id="os_type",
-        ),
-    ],
-)
-def test_hosts_groupby(  # pylint: disable=too-many-arguments,too-many-positional-arguments
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    dataset: str,
-    seed_age_min: int,
-    window_min: int,
-    group_key: str,
-    expected_counts: dict,
-    expected_values: dict,
-) -> None:
-    """groupBy returns one record per distinct group with aggregated
-    active/inactive counts and metric values. hostName is populated only when
-    grouping by host.name (hosts.go:144-160 list-vs-grouped branches)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path(f"inframonitoring/{dataset}"),
-            base_time=now - timedelta(minutes=seed_age_min),
-        )
-    )
-
-    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=window_min)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": group_key,
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                },
-            ],
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK
-    data = response.json()["data"]
-    assert data["total"] == len(expected_counts)
-
-    group_of = lambda r: r["hostName"] if group_key == "host.name" else r["meta"][group_key]  # noqa: E731  # pylint: disable=unnecessary-lambda-assignment
-    by_group = {group_of(r): r for r in data["records"]}
-    assert set(by_group.keys()) == set(expected_counts.keys())
-
-    for group, rec in by_group.items():
-        counts = expected_counts[group]
-        if counts is not None:
-            assert (rec["activeHostCount"], rec["inactiveHostCount"]) == counts, f"{group}: got ({rec['activeHostCount']}, {rec['inactiveHostCount']}), expected {counts}"
-        else:
-            assert rec["activeHostCount"] + rec["inactiveHostCount"] == 1
-
-        # hostName is populated per host when grouping by host.name, and empty
-        # when host.name is NOT in groupBy.
-        assert rec["hostName"] == (group if group_key == "host.name" else "")
-
-        if expected_values is not None:
-            for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
-                assert compare_values(rec[field], expected_values[group][field], 1e-9), f"{group}.{field}: got {rec[field]}, expected {expected_values[group][field]}"
-
-
-def test_hosts_pagination(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination: per-page len matches min(limit, total-offset), total invariant,
-    pages cover the full set with no overlap. The final offset is beyond total:
-    it returns empty records while total still reflects dataset size.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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, K + 5):
-        response = requests.post(
-            signoz.self.host_configs["8080"].get(ENDPOINT),
-            headers={"authorization": f"Bearer {token}"},
-            json={
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-            },
-            timeout=5,
-        )
-        assert response.status_code == HTTPStatus.OK
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = max(0, min(limit, K - offset))
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len} 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)}
-
-
-# orderBy keys use snake_case (inframonitoringtypes/hosts_constants.go:26-30).
-# Note: response uses camelCase (diskUsage) but request uses disk_usage.
-# host.name sorts via the metadata-name branch (hosts.go:218-219,
-# PaginateMetadataByName) and is only allowed when groupBy is empty.
-@pytest.mark.parametrize(
-    "column,record_field",
-    [
-        pytest.param("cpu", "cpu", id="cpu"),
-        pytest.param("memory", "memory", id="memory"),
-        pytest.param("wait", "wait", id="wait"),
-        pytest.param("load15", "load15", id="load15"),
-        pytest.param("disk_usage", "diskUsage", id="disk_usage"),
-        pytest.param("host.name", "hostName", id="host_name"),
-    ],
-)
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_hosts_orderby(  # pylint: disable=too-many-arguments,too-many-positional-arguments
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    column: str,
-    record_field: str,
-    direction: str,
-) -> None:
-    """Every orderBy column x direction: total/len stay K (invariant under
-    sort) and records come back sorted by the requested column. 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},
-            # Guards against hosts seeded by other tests in the shared backend.
-            "filter": {"expression": "host.name CONTAINS 'order-'"},
-        },
-        timeout=5,
-    )
-    ctx = f"orderBy={column} {direction}"
-    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
-    data = response.json()["data"]
-    assert data["total"] == K, f"{ctx}: total={data['total']}"
-    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
-
-    values = [r[record_field] for r in data["records"]]
-    expected = sorted(values, reverse=(direction == "desc"))
-    assert values == expected, f"{ctx} not sorted; got {values}"
-
-
-@pytest.mark.parametrize(
-    "payload_override,err_substr",
-    [
-        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
-        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
-        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
-        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
-        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
-        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
-        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
-        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
-        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
-        pytest.param(
-            {"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

@@ -1,760 +0,0 @@
-"""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_accuracy(
-    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/contract + 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"]
-
-    # Shape/contract.
-    assert data["total"] == len(expected["records"])
-    assert len(data["records"]) == len(expected["records"])
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-    assert {r["meta"]["k8s.pod.name"] for r in data["records"]} == set(exp_by_name.keys())
-
-    # 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"]:
-        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)
-
-        # Exact values.
-        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, with undistorted per-pod metric values."""
-    # Every pod in pods_filter_dataset.jsonl carries the same sample pattern
-    # as acc-p1 in pods_value_accuracy.jsonl, so all filtered records must
-    # resolve to these exact values (mirrors pods_value_accuracy_expected.json
-    # acc-p1).
-    expected_values = {
-        "podCPU": 0.5,
-        "podCPURequest": 0.25,
-        "podCPULimit": 0.5,
-        "podMemory": 524288000.0,
-        "podMemoryRequest": 0.5,
-        "podMemoryLimit": 0.25,
-    }
-    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)
-
-    # Filtering must not distort per-pod aggregation values.
-    for record in data["records"]:
-        for field in expected_values:
-            assert compare_values(record[field], expected_values[field], 1e-9), f"{record['meta']['k8s.pod.name']}.{field}: got {record[field]}, expected {expected_values[field]}"
-
-
-@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,
-    }
-
-
-@pytest.mark.parametrize(
-    "group_key,expected_groups",
-    [
-        pytest.param("k8s.namespace.name", {"gns-a", "gns-b"}, id="namespace"),
-        pytest.param("k8s.deployment.name", {"gdep-x", "gdep-y"}, id="deployment"),
-    ],
-)
-def test_pods_groupby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    group_key: str,
-    expected_groups: set,
-) -> None:
-    """groupBy aggregates 2 pods per group into one record. Per-pod identity
-    fields (uid, age, phase) 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": group_key,
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == len(expected_groups)
-    assert len(data["records"]) == len(expected_groups)
-
-    groups_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 group_key in rec["meta"], rec["meta"]
-        groups_seen.add(rec["meta"][group_key])
-        # Each group has 2 running pods.
-        assert rec["podCountsByPhase"]["running"] == 2
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert rec["podCountsByPhase"][other] == 0
-    assert groups_seen == expected_groups
-
-
-def test_pods_pagination(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination: per-page len matches min(limit, total-offset), total invariant,
-    pages cover the full set with no overlap. The final offset is beyond total:
-    it returns empty records while total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _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, K + 5):
-        response = requests.post(
-            signoz.self.host_configs["8080"].get(ENDPOINT),
-            headers={"authorization": f"Bearer {token}"},
-            json={
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-            },
-            timeout=5,
-        )
-        assert response.status_code == HTTPStatus.OK, response.text
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = max(0, min(limit, K - offset))
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len} 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)}
-
-
-# orderBy keys per pods_constants.go:42-48 (snake_case request keys, camelCase
-# response fields). k8s.pod.name sorts via the metadata-name branch
-# (PaginateMetadataByName) and is only allowed when groupBy is empty.
-@pytest.mark.parametrize(
-    "column,record_field",
-    [
-        pytest.param("cpu", "podCPU", id="cpu"),
-        pytest.param("cpu_request", "podCPURequest", id="cpu_request"),
-        pytest.param("cpu_limit", "podCPULimit", id="cpu_limit"),
-        pytest.param("memory", "podMemory", id="memory"),
-        pytest.param("memory_request", "podMemoryRequest", id="memory_request"),
-        pytest.param("memory_limit", "podMemoryLimit", id="memory_limit"),
-        pytest.param("k8s.pod.name", None, id="pod_name"),
-    ],
-)
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_pods_orderby(  # pylint: disable=too-many-arguments,too-many-positional-arguments
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    column: str,
-    record_field,
-    direction: str,
-) -> None:
-    """Every orderBy column x direction: total/len stay K (invariant under
-    sort) and records come back sorted by the requested column."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _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},
-            # Guards against pods seeded by other tests in the shared backend.
-            "filter": {"expression": "k8s.pod.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'])}"
-
-    # record_field None => pod name lives in meta, not a top-level field.
-    values = [r["meta"]["k8s.pod.name"] if record_field is None else r[record_field] for r in data["records"]]
-    expected = sorted(values, reverse=(direction == "desc"))
-    assert values == expected, f"{ctx} not sorted; got {values}"
-
-
-@pytest.mark.parametrize(
-    "payload_override,err_substr",
-    [
-        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
-        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
-        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
-        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
-        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
-        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
-        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
-        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
-        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
-        pytest.param(
-            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
-            "invalid order by key",
-            id="orderby_invalid_key",
-        ),
-        pytest.param(
-            {"orderBy": {"key": {"name": "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

@@ -1,749 +0,0 @@
-"""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_accuracy(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed 2 nodes x 5 metrics + pods; assert response shape/contract + exact
-    per-node metric values, condition, and both count buckets against
-    precomputed expected output."""
-    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"]
-
-    # Shape/contract.
-    assert data["total"] == len(expected["records"])
-    assert len(data["records"]) == len(expected["records"])
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-    assert {r["nodeName"] for r in data["records"]} == set(exp_by_name.keys())
-
-    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["meta"].get("k8s.node.name") == record["nodeName"]
-        assert "k8s.node.uid" in record["meta"]
-        assert "k8s.cluster.name" in record["meta"]
-
-        # Exact values.
-        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, with undistorted per-node metric values."""
-    # Every node in nodes_filter_dataset.jsonl carries the same sample pattern
-    # as acc-n1 in nodes_value_accuracy.jsonl, so all filtered records must
-    # resolve to these exact values (mirrors nodes_value_accuracy_expected.json
-    # acc-n1).
-    expected_values = {
-        "nodeCPU": 1.0,
-        "nodeCPUAllocatable": 4.0,
-        "nodeMemory": 2000000000.0,
-        "nodeMemoryAllocatable": 8000000000.0,
-    }
-    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)
-
-    # Filtering must not distort per-node aggregation values.
-    for record in data["records"]:
-        for field in expected_values:
-            assert compare_values(record[field], expected_values[field], 1e-6), f"{record['nodeName']}.{field}: got {record[field]}, expected {expected_values[field]}"
-
-
-@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(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination: per-page len matches min(limit, total-offset), total invariant,
-    pages cover the full set with no overlap. The final offset is beyond total:
-    it returns empty records while total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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, K + 5):
-        response = requests.post(
-            signoz.self.host_configs["8080"].get(ENDPOINT),
-            headers={"authorization": f"Bearer {token}"},
-            json={
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-                # 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 = max(0, 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)}
-
-
-# orderBy keys per nodes_constants.go:33-37 (snake_case request keys,
-# camelCase response fields). k8s.node.name sorts via the metadata-name branch
-# (PaginateMetadataByName) and is only allowed when groupBy is empty.
-@pytest.mark.parametrize(
-    "column,record_field",
-    [
-        pytest.param("cpu", "nodeCPU", id="cpu"),
-        pytest.param("cpu_allocatable", "nodeCPUAllocatable", id="cpu_allocatable"),
-        pytest.param("memory", "nodeMemory", id="memory"),
-        pytest.param("memory_allocatable", "nodeMemoryAllocatable", id="memory_allocatable"),
-        pytest.param("k8s.node.name", "nodeName", id="node_name"),
-    ],
-)
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_nodes_orderby(  # pylint: disable=too-many-arguments,too-many-positional-arguments
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    column: str,
-    record_field: str,
-    direction: str,
-) -> None:
-    """Every orderBy column x direction: total/len stay K (invariant under
-    sort) and records come back sorted by the requested column."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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},
-            # Guards against nodes seeded by other tests in the shared backend.
-            "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'])}"
-
-    values = [r[record_field] for r in data["records"]]
-    expected = sorted(values, reverse=(direction == "desc"))
-    assert values == expected, f"{ctx} not sorted; got {values}"
-
-
-@pytest.mark.parametrize(
-    "payload_override,err_substr",
-    [
-        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
-        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
-        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
-        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
-        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
-        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
-        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
-        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
-        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
-        pytest.param(
-            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
-            "invalid order by key",
-            id="orderby_invalid_key",
-        ),
-        pytest.param(
-            {"orderBy": {"key": {"name": "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

@@ -1,544 +0,0 @@
-"""Integration tests for v2 infra-monitoring namespace endpoints."""
-
-import json
-from datetime import UTC, datetime, timedelta
-from http import HTTPStatus
-
-import pytest
-import requests
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.fs import get_testdata_file_path
-from fixtures.metrics import Metrics
-from fixtures.querier import compare_values
-
-ENDPOINT = "/api/v2/infra_monitoring/namespaces"
-
-# Required metrics for the v2 namespaces endpoint
-# (pkg/modules/inframonitoring/implinframonitoring/namespaces_constants.go:22-26).
-REQUIRED_METRICS = {
-    "k8s.pod.cpu.usage",
-    "k8s.pod.memory.working_set",
-    "k8s.pod.phase",
-}
-
-
-def test_namespaces_accuracy(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Seed 2 namespaces x 3 metrics; assert response shape/contract + exact
-    per-namespace metric values and 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"]
-
-    # Shape/contract.
-    assert data["total"] == len(expected["records"])
-    assert len(data["records"]) == len(expected["records"])
-    assert data["requiredMetricsCheck"]["missingMetrics"] == []
-    assert data["endTimeBeforeRetention"] is False
-    assert {r["namespaceName"] for r in data["records"]} == set(exp_by_name.keys())
-
-    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)
-
-        assert record["meta"].get("k8s.namespace.name") == record["namespaceName"]
-        assert "k8s.cluster.name" in record["meta"]
-
-        # Exact values.
-        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, with undistorted per-namespace
-    metric values."""
-    # Every namespace in namespaces_filter_dataset.jsonl carries the same
-    # sample pattern as acc-ns-1 in namespaces_value_accuracy.jsonl (2 pods),
-    # so all filtered records must resolve to these exact values (mirrors
-    # namespaces_value_accuracy_expected.json acc-ns-1).
-    expected_values = {
-        "namespaceCPU": 1.0,
-        "namespaceMemory": 200000000.0,
-    }
-    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)
-
-    # Filtering must not distort per-namespace aggregation values.
-    for record in data["records"]:
-        for field in expected_values:
-            assert compare_values(record[field], expected_values[field], 1e-6), f"{record['namespaceName']}.{field}: got {record[field]}, expected {expected_values[field]}"
-
-
-@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(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Pagination: per-page len matches min(limit, total-offset), total invariant,
-    pages cover the full set with no overlap. The final offset is beyond total:
-    it returns empty records while total still reflects dataset size."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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, K + 5):
-        response = requests.post(
-            signoz.self.host_configs["8080"].get(ENDPOINT),
-            headers={"authorization": f"Bearer {token}"},
-            json={
-                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-                "end": int(now.timestamp() * 1000),
-                "limit": limit,
-                "offset": offset,
-            },
-            timeout=5,
-        )
-        assert response.status_code == HTTPStatus.OK, response.text
-        data = response.json()["data"]
-        seen_totals.add(data["total"])
-        expected_len = max(0, min(limit, K - offset))
-        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
-        seen_names.extend(r["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)}
-
-
-# orderBy keys per namespaces_constants.go (cpu, memory only).
-# k8s.namespace.name sorts via the metadata-name branch (PaginateMetadataByName)
-# and is only allowed when groupBy is empty.
-@pytest.mark.parametrize(
-    "column,record_field",
-    [
-        pytest.param("cpu", "namespaceCPU", id="cpu"),
-        pytest.param("memory", "namespaceMemory", id="memory"),
-        pytest.param("k8s.namespace.name", "namespaceName", id="namespace_name"),
-    ],
-)
-@pytest.mark.parametrize("direction", ["asc", "desc"])
-def test_namespaces_orderby(  # pylint: disable=too-many-arguments,too-many-positional-arguments
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    column: str,
-    record_field: str,
-    direction: str,
-) -> None:
-    """Every orderBy column x direction: total/len stay K (invariant under
-    sort) and records come back sorted by the requested column."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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},
-            # Guards against namespaces seeded by other tests in the shared backend.
-            "filter": {"expression": "k8s.namespace.name CONTAINS 'order-'"},
-        },
-        timeout=5,
-    )
-    ctx = f"orderBy={column} {direction}"
-    assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
-    data = response.json()["data"]
-    assert data["total"] == K, f"{ctx}: total={data['total']}"
-    assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
-
-    values = [r[record_field] for r in data["records"]]
-    expected = sorted(values, reverse=(direction == "desc"))
-    assert values == expected, f"{ctx} not sorted; got {values}"
-
-
-@pytest.mark.parametrize(
-    "payload_override,err_substr",
-    [
-        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
-        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
-        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
-        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
-        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
-        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
-        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
-        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
-        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
-        pytest.param(
-            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
-            "invalid order by key",
-            id="orderby_invalid_key",
-        ),
-        pytest.param(
-            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
-            "invalid order by direction",
-            id="orderby_invalid_direction",
-        ),
-        pytest.param(
-            {
-                "orderBy": {"key": {"name": "k8s.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}"