chore: bumping integration agent version to v0.0.11

.github/workflows/build-staging.yaml

@@ -64,10 +64,6 @@ jobs:
         run: |
           mkdir -p frontend
           echo 'CI=1' > frontend/.env
-          echo 'VITE_SENTRY_AUTH_TOKEN="${{ secrets.SENTRY_AUTH_TOKEN }}"' >> frontend/.env
-          echo 'VITE_SENTRY_ORG="${{ secrets.SENTRY_ORG }}"' >> frontend/.env
-          echo 'VITE_SENTRY_PROJECT_ID="${{ secrets.SENTRY_PROJECT_ID }}"' >> frontend/.env
-          echo 'VITE_SENTRY_DSN="${{ secrets.SENTRY_DSN }}"' >> frontend/.env
           echo 'VITE_TUNNEL_URL="${{ secrets.NP_TUNNEL_URL }}"' >> frontend/.env
           echo 'VITE_TUNNEL_DOMAIN="${{ secrets.NP_TUNNEL_DOMAIN }}"' >> frontend/.env
           echo 'VITE_PYLON_APP_ID="${{ secrets.NP_PYLON_APP_ID }}"' >> frontend/.env

docs/api/openapi.yml

@@ -1360,9 +1360,6 @@ components:
       - sqs
       - storageaccountsblob
       - cdnprofile
-      - virtualmachine
-      - appservice
-      - containerapp
       - aks
       type: string
     CloudintegrationtypesServiceMetadata:

frontend/src/api/generated/services/sigNoz.schemas.ts

@@ -2651,9 +2651,6 @@ export enum CloudintegrationtypesServiceIDDTO {
 	sqs = 'sqs',
 	storageaccountsblob = 'storageaccountsblob',
 	cdnprofile = 'cdnprofile',
-	virtualmachine = 'virtualmachine',
-	appservice = 'appservice',
-	containerapp = 'containerapp',
 	aks = 'aks',
 }
 export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {

frontend/src/container/AIAssistant/events.ts

@@ -70,7 +70,6 @@ export const AIAssistantOpenSource = {
 	Icon: 'icon',
 	Shortcut: 'shortcut',
 	Cmdk: 'cmdk',
-	TraceDetails: 'trace_details',
 } as const;
 export type AIAssistantOpenSource =
 	(typeof AIAssistantOpenSource)[keyof typeof AIAssistantOpenSource];

frontend/src/container/BillingContainer/CancelSubscriptionBanner.module.scss

@@ -67,40 +67,3 @@
 	background: var(--secondary-background);
 	border: 1px solid var(--l1-border);
 }
-
-.fallbackBody {
-	display: flex;
-	flex-direction: column;
-	gap: var(--spacing-4);
-}
-
-.fallbackHint {
-	font-size: var(--paragraph-base-400-font-size);
-	font-weight: var(--paragraph-base-400-font-weight);
-	line-height: var(--paragraph-base-400-line-height);
-	color: var(--l2-foreground);
-	margin: 0;
-}
-
-.fallbackEmail {
-	font-size: var(--paragraph-base-500-font-size);
-	font-weight: var(--paragraph-base-500-font-weight);
-	color: var(--l1-foreground);
-	word-break: break-all;
-}
-
-.fallbackActions {
-	display: flex;
-	gap: var(--spacing-3);
-	flex-wrap: wrap;
-	padding-top: var(--padding-4);
-}
-
-.retryLink {
-	box-sizing: border-box;
-	text-decoration: none;
-
-	&:hover {
-		text-decoration: none;
-	}
-}

frontend/src/container/BillingContainer/CancelSubscriptionBanner.test.tsx

@@ -9,37 +9,7 @@ jest.mock('utils/basePath', () => ({
 	getBaseUrl: (): string => 'https://test.signoz.io',
 }));
 
-function mockMailto(): {
-	mockClick: jest.Mock;
-	appendSpy: jest.SpyInstance;
-	removeSpy: jest.SpyInstance;
-} {
-	const mockClick = jest.fn();
-	const realCreateElement = document.createElement.bind(document);
-
-	// Create a real anchor so JSDOM's appendChild/removeChild accept it.
-	// Override its click() so no navigation occurs.
-	jest
-		.spyOn(document, 'createElement')
-		.mockImplementation((tag: string, options?: ElementCreationOptions) => {
-			if (tag === 'a') {
-				const anchor = realCreateElement('a') as HTMLAnchorElement;
-				anchor.click = mockClick;
-				return anchor;
-			}
-			return realCreateElement(tag, options);
-		});
-
-	const appendSpy = jest.spyOn(document.body, 'appendChild');
-	const removeSpy = jest.spyOn(document.body, 'removeChild');
-	return { mockClick, appendSpy, removeSpy };
-}
-
 describe('CancelSubscriptionBanner', () => {
-	afterEach(() => {
-		jest.restoreAllMocks();
-	});
-
 	it('renders banner with title and subtitle', () => {
 		render(<CancelSubscriptionBanner />);
 		expect(
@@ -65,10 +35,12 @@ describe('CancelSubscriptionBanner', () => {
 			screen.getByText(/Cancelling your subscription would stop your data/i),
 		).toBeInTheDocument();
 		expect(screen.getByText(/Type/i)).toBeInTheDocument();
-		expect(screen.getByTestId('cancel-confirm-input')).toBeInTheDocument();
+		expect(
+			screen.getByPlaceholderText(/Enter the word cancel/i),
+		).toBeInTheDocument();
 		expect(screen.getByRole('button', { name: /go back/i })).toBeInTheDocument();
 		expect(
-			screen.getByTestId('cancel-subscription-confirm-btn'),
+			screen.getByRole('button', { name: /cancel subscription/i }),
 		).toBeInTheDocument();
 	});
 
@@ -80,10 +52,12 @@ describe('CancelSubscriptionBanner', () => {
 			screen.getByRole('button', { name: /cancel subscription/i }),
 		);
 
-		const confirmButton = screen.getByTestId('cancel-subscription-confirm-btn');
+		const confirmButton = screen.getByRole('button', {
+			name: /cancel subscription/i,
+		});
 		expect(confirmButton).toBeDisabled();
 
-		const input = screen.getByTestId('cancel-confirm-input');
+		const input = screen.getByPlaceholderText(/Enter the word cancel/i);
 		await user.type(input, 'canc');
 		expect(confirmButton).toBeDisabled();
 
@@ -99,7 +73,7 @@ describe('CancelSubscriptionBanner', () => {
 			screen.getByRole('button', { name: /cancel subscription/i }),
 		);
 
-		const input = screen.getByTestId('cancel-confirm-input');
+		const input = screen.getByPlaceholderText(/Enter the word cancel/i);
 		await user.type(input, 'cancel');
 
 		await user.click(screen.getByRole('button', { name: /go back/i }));
@@ -110,11 +84,19 @@ describe('CancelSubscriptionBanner', () => {
 		await user.click(
 			screen.getByRole('button', { name: /cancel subscription/i }),
 		);
-		expect(screen.getByTestId('cancel-confirm-input')).toHaveValue('');
+		expect(screen.getByPlaceholderText(/Enter the word cancel/i)).toHaveValue('');
 	});
 
-	it('fires mailto via DOM-attached anchor and shows fallback view after confirming', async () => {
-		const { mockClick, appendSpy, removeSpy } = mockMailto();
+	it('sends mailto to cloud-support with correct subject after typing "cancel"', async () => {
+		const realCreateElement = document.createElement.bind(document);
+		const mockClick = jest.fn();
+		const mockAnchor = { href: '', click: mockClick };
+		jest.spyOn(document, 'createElement').mockImplementation((tag: string) => {
+			if (tag === 'a') {
+				return mockAnchor as unknown as HTMLAnchorElement;
+			}
+			return realCreateElement(tag);
+		});
 
 		const user = userEvent.setup({ pointerEventsCheck: 0 });
 		render(<CancelSubscriptionBanner />);
@@ -122,85 +104,18 @@ describe('CancelSubscriptionBanner', () => {
 		await user.click(
 			screen.getByRole('button', { name: /cancel subscription/i }),
 		);
-		await user.type(screen.getByTestId('cancel-confirm-input'), 'cancel');
-		await user.click(screen.getByTestId('cancel-subscription-confirm-btn'));
 
-		const appendedAnchor = appendSpy.mock.calls
-			.map(([node]) => node)
-			.find(
-				(node): node is HTMLAnchorElement =>
-					node instanceof HTMLAnchorElement && node.href.startsWith('mailto:'),
-			);
-		expect(appendedAnchor).toBeDefined();
+		const input = screen.getByPlaceholderText(/Enter the word cancel/i);
+		await user.type(input, 'cancel');
+
+		await user.click(
+			screen.getByRole('button', { name: /cancel subscription/i }),
+		);
+
+		expect(mockAnchor.href).toContain('mailto:cloud-support@signoz.io');
+		expect(mockAnchor.href).toContain('Cancel%20My%20SigNoz%20Subscription');
 		expect(mockClick).toHaveBeenCalledTimes(1);
-		expect(removeSpy.mock.calls.some(([node]) => node === appendedAnchor)).toBe(
-			true,
-		);
 
-		expect(
-			screen.getByText(/An email draft has been opened/i),
-		).toBeInTheDocument();
-		expect(screen.getByText('cloud-support@signoz.io')).toBeInTheDocument();
-		expect(screen.getByTestId('copy-email-template-btn')).toBeInTheDocument();
-		expect(screen.getByTestId('retry-mailto-btn')).toBeInTheDocument();
-	});
-
-	it('copies email template to clipboard when Copy button is clicked', async () => {
-		mockMailto();
-
-		const user = userEvent.setup({ pointerEventsCheck: 0 });
-		render(<CancelSubscriptionBanner />);
-
-		await user.click(
-			screen.getByRole('button', { name: /cancel subscription/i }),
-		);
-		await user.type(screen.getByTestId('cancel-confirm-input'), 'cancel');
-		await user.click(screen.getByTestId('cancel-subscription-confirm-btn'));
-
-		await user.click(screen.getByTestId('copy-email-template-btn'));
-
-		await waitFor(() =>
-			expect(screen.getByTestId('copy-email-template-btn')).toHaveTextContent(
-				'Copied!',
-			),
-		);
-	});
-
-	it('retry link is a native anchor with correct mailto href in fallback view', async () => {
-		mockMailto();
-
-		const user = userEvent.setup({ pointerEventsCheck: 0 });
-		render(<CancelSubscriptionBanner />);
-
-		await user.click(
-			screen.getByRole('button', { name: /cancel subscription/i }),
-		);
-		await user.type(screen.getByTestId('cancel-confirm-input'), 'cancel');
-		await user.click(screen.getByTestId('cancel-subscription-confirm-btn'));
-
-		const retryLink = screen.getByTestId('retry-mailto-btn');
-		expect(retryLink.tagName).toBe('A');
-		expect(retryLink).toHaveAttribute(
-			'href',
-			expect.stringContaining('mailto:cloud-support@signoz.io'),
-		);
-	});
-
-	it('closes fallback view when Close is clicked and resets state', async () => {
-		mockMailto();
-
-		const user = userEvent.setup({ pointerEventsCheck: 0 });
-		render(<CancelSubscriptionBanner />);
-
-		await user.click(
-			screen.getByRole('button', { name: /cancel subscription/i }),
-		);
-		await user.type(screen.getByTestId('cancel-confirm-input'), 'cancel');
-		await user.click(screen.getByTestId('cancel-subscription-confirm-btn'));
-
-		await user.click(screen.getByRole('button', { name: /close/i }));
-		await waitFor(() =>
-			expect(screen.queryByRole('dialog')).not.toBeInTheDocument(),
-		);
+		jest.restoreAllMocks();
 	});
 });

frontend/src/container/BillingContainer/CancelSubscriptionBanner.tsx

@@ -1,100 +1,27 @@
-import { useEffect, useRef, useState } from 'react';
-import {
-	CircleCheck,
-	Copy,
-	MailOpen,
-	SolidInfoCircle,
-	Undo2,
-	X,
-} from '@signozhq/icons';
+import { useState } from 'react';
+import { SolidInfoCircle, Undo2, X } from '@signozhq/icons';
 import { Button } from '@signozhq/ui/button';
 import { DialogWrapper } from '@signozhq/ui/dialog';
 import { Input } from '@signozhq/ui/input';
 import logEvent from 'api/common/logEvent';
 import { pick } from 'lodash-es';
 import { useAppContext } from 'providers/App/App';
-import { useCopyToClipboard } from 'react-use';
 import { getBaseUrl } from 'utils/basePath';
-import { Color } from '@signozhq/design-tokens';
 
 import styles from './CancelSubscriptionBanner.module.scss';
-
-const SUPPORT_EMAIL = 'cloud-support@signoz.io';
-const MAX_MAILTO_URI_LENGTH = 1800;
-
-type DialogView = 'confirm' | 'fallback';
-
-function buildEmailBody(orgName: string, userEmail: string): string {
-	return [
-		'Hi SigNoz Team,',
-		'',
-		'I would like to cancel my SigNoz Cloud subscription.',
-		'Please find my account details below.',
-		'',
-		'Account Details:',
-		`  • SigNoz URL: ${getBaseUrl()}`,
-		...(orgName ? [`  • Organization: ${orgName}`] : []),
-		`  • Account Email: ${userEmail}`,
-		'',
-		'Reason for Cancellation:',
-		'[Please share the reason for cancellation]',
-		'',
-		'Additional feedback (optional):',
-		'[Any other feedback]',
-		'',
-		'Regards,',
-		'[user name or team name]',
-	].join('\n');
-}
-
-function buildMailtoUri(orgName: string, userEmail: string): string {
-	const subject = encodeURIComponent('Cancel My SigNoz Subscription');
-	const body = encodeURIComponent(buildEmailBody(orgName, userEmail));
-	const full = `mailto:${SUPPORT_EMAIL}?subject=${subject}&body=${body}`;
-	if (full.length <= MAX_MAILTO_URI_LENGTH) {
-		return full;
-	}
-	const shortBody = encodeURIComponent(
-		'Hi SigNoz Team,\n\nI would like to cancel my SigNoz Cloud subscription.\nPlease find my account details and reason for cancellation below.\n\n[Your details here]\n\nRegards,',
-	);
-	return `mailto:${SUPPORT_EMAIL}?subject=${subject}&body=${shortBody}`;
-}
-
-function openMailto(uri: string): void {
-	const link = document.createElement('a');
-	link.href = uri;
-	link.style.display = 'none';
-	document.body.appendChild(link);
-	link.click();
-	document.body.removeChild(link);
-}
+import { Color } from '@signozhq/design-tokens';
 
 function CancelSubscriptionBanner(): JSX.Element {
-	const [dialogView, setDialogView] = useState<DialogView | null>(null);
+	const [open, setOpen] = useState(false);
 	const [confirmText, setConfirmText] = useState('');
-	const [copied, setCopied] = useState(false);
-	const [, copyToClipboard] = useCopyToClipboard();
-	const copyTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null);
 	const { user, org } = useAppContext();
 
-	useEffect(
-		() => (): void => {
-			if (copyTimerRef.current) {
-				clearTimeout(copyTimerRef.current);
-			}
-		},
-		[],
-	);
-
-	const orgName = org?.[0]?.displayName ?? '';
-	const userEmail = user?.email ?? '';
-
 	const handleOpenCancelDialog = (): void => {
 		void logEvent('Billing : Cancel Subscription Clicked', {
 			user: pick(user, ['email', 'displayName', 'role', 'organization']),
 			role: user?.role,
 		});
-		setDialogView('confirm');
+		setOpen(true);
 	};
 
 	const handleContactSupport = (): void => {
@@ -102,41 +29,43 @@ function CancelSubscriptionBanner(): JSX.Element {
 			user: pick(user, ['email', 'displayName', 'role', 'organization']),
 			role: user?.role,
 		});
-		openMailto(buildMailtoUri(orgName, userEmail));
+		const subject = encodeURIComponent('Cancel My SigNoz Subscription');
+		const orgName = org?.[0]?.displayName ?? '';
+		const body = encodeURIComponent(
+			[
+				'Hi SigNoz Team,',
+				'',
+				'I would like to cancel my SigNoz Cloud subscription.',
+				'Please find my account details below.',
+				'',
+				'Account Details:',
+				`  • SigNoz URL: ${getBaseUrl()}`,
+				...(orgName ? [`  • Organization: ${orgName}`] : []),
+				`  • Account Email: ${user?.email ?? ''}`,
+				'',
+				'Reason for Cancellation:',
+				'[Please share the reason for cancellation]',
+				'',
+				'Additional feedback (optional):',
+				'[Any other feedback]',
+				'',
+				'Regards,',
+				'[user name or team name]',
+			].join('\n'),
+		);
+		const link = document.createElement('a');
+		link.href = `mailto:cloud-support@signoz.io?subject=${subject}&body=${body}`;
+		link.click();
+		setOpen(false);
 		setConfirmText('');
-		setDialogView('fallback');
-	};
-
-	const handleCopyTemplate = (): void => {
-		void logEvent('Billing : Cancel Subscription Email Template Copied', {
-			user: pick(user, ['email', 'displayName', 'role', 'organization']),
-			role: user?.role,
-		});
-		copyToClipboard(buildEmailBody(orgName, userEmail));
-		setCopied(true);
-		if (copyTimerRef.current) {
-			clearTimeout(copyTimerRef.current);
-		}
-		copyTimerRef.current = setTimeout(() => setCopied(false), 2000);
-	};
-
-	const handleRetryMailto = (): void => {
-		void logEvent('Billing : Cancel Subscription Email Client Reopened', {
-			user: pick(user, ['email', 'displayName', 'role', 'organization']),
-			role: user?.role,
-		});
 	};
 
 	const handleClose = (): void => {
-		if (copyTimerRef.current) {
-			clearTimeout(copyTimerRef.current);
-		}
-		setDialogView(null);
+		setOpen(false);
 		setConfirmText('');
-		setCopied(false);
 	};
 
-	const confirmFooter = (
+	const footer = (
 		<>
 			<Button
 				variant="solid"
@@ -152,19 +81,12 @@ function CancelSubscriptionBanner(): JSX.Element {
 				prefix={<X size={14} />}
 				disabled={confirmText !== 'cancel'}
 				onClick={handleContactSupport}
-				data-testid="cancel-subscription-confirm-btn"
 			>
 				Cancel subscription
 			</Button>
 		</>
 	);
 
-	const fallbackFooter = (
-		<Button variant="solid" color="secondary" onClick={handleClose}>
-			Close
-		</Button>
-	);
-
 	return (
 		<>
 			<div className={styles.banner}>
@@ -189,67 +111,27 @@ function CancelSubscriptionBanner(): JSX.Element {
 				</Button>
 			</div>
 			<DialogWrapper
-				open={dialogView !== null}
+				open={open}
 				onOpenChange={handleClose}
 				title="Cancel your subscription?"
 				width="narrow"
 				showCloseButton={false}
-				footer={dialogView === 'confirm' ? confirmFooter : fallbackFooter}
+				footer={footer}
 			>
-				{dialogView === 'confirm' && (
-					<div className={styles.dialogBody}>
-						<p className={styles.dialogDescription}>
-							Cancelling your subscription would stop your data from being ingested to
-							SigNoz. All the data that has been already sent will also be deleted.
-						</p>
-						<p className={styles.dialogConfirmLabel}>
-							Type <code>cancel</code> to confirm the cancellation.
-						</p>
-						<Input
-							placeholder="Enter the word cancel..."
-							value={confirmText}
-							onChange={(e): void => setConfirmText(e.target.value)}
-							data-testid="cancel-confirm-input"
-						/>
-					</div>
-				)}
-				{dialogView === 'fallback' && (
-					<div className={styles.fallbackBody}>
-						<p className={styles.fallbackHint}>
-							An email draft has been opened. If it did not open, send your
-							cancellation request directly to:
-						</p>
-						<span className={styles.fallbackEmail}>{SUPPORT_EMAIL}</span>
-						<div className={styles.fallbackActions}>
-							<Button
-								variant="outlined"
-								color="secondary"
-								prefix={copied ? <CircleCheck size={14} /> : <Copy size={14} />}
-								onClick={handleCopyTemplate}
-								data-testid="copy-email-template-btn"
-							>
-								{copied ? 'Copied!' : 'Copy email template'}
-							</Button>
-							<Button
-								asChild
-								variant="outlined"
-								color="secondary"
-								data-testid="retry-mailto-btn"
-							>
-								<a
-									href={buildMailtoUri(orgName, userEmail)}
-									onClick={handleRetryMailto}
-									className={styles.retryLink}
-									target="_blank"
-									rel="noopener noreferrer"
-								>
-									<MailOpen size={14} />
-									Reopen email client
-								</a>
-							</Button>
-						</div>
-					</div>
-				)}
+				<div className={styles.dialogBody}>
+					<p className={styles.dialogDescription}>
+						Cancelling your subscription would stop your data from being ingested to
+						SigNoz. All the data that has been already sent will also be deleted.
+					</p>
+					<p className={styles.dialogConfirmLabel}>
+						Type <code>cancel</code> to confirm the cancellation.
+					</p>
+					<Input
+						placeholder="Enter the word cancel..."
+						value={confirmText}
+						onChange={(e): void => setConfirmText(e.target.value)}
+					/>
+				</div>
 			</DialogWrapper>
 		</>
 	);

frontend/src/container/QueryBuilder/filters/QueryBuilderSearch/style.ts

@@ -22,12 +22,11 @@ export const StyledCheckOutlined = styled(Check)`
 	float: right;
 `;
 
-export const TagContainer = styled(Badge).attrs({
-	color: 'secondary',
-	variant: 'outline',
-})`
+export const TagContainer = styled(Badge)`
 	&&& {
 		display: flex;
+		border-radius: 3px;
+		padding: 0.1rem 0.2rem;
 		font-weight: 300;
 		font-size: 0.6rem;
 	}
@@ -39,5 +38,4 @@ export const TagLabel = styled.span`
 
 export const TagValue = styled.span`
 	text-transform: capitalize;
-	font-weight: 400;
 `;

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/NozButton.tsx

@@ -1,46 +0,0 @@
-import { useCallback } from 'react';
-import { useLocation } from 'react-router-dom';
-import { Button } from '@signozhq/ui/button';
-import { TooltipSimple } from '@signozhq/ui/tooltip';
-import logEvent from 'api/common/logEvent';
-import Noz from 'components/Noz/Noz';
-import { NOZ_TOOLTIP_TITLE } from 'components/Noz/Noz.constants';
-import {
-	AIAssistantEvents,
-	AIAssistantOpenSource,
-} from 'container/AIAssistant/events';
-import { normalizePage } from 'container/AIAssistant/hooks/useAIAssistantAnalyticsContext';
-import { openAIAssistant } from 'container/AIAssistant/store/useAIAssistantStore';
-import { useIsAIAssistantEnabled } from 'hooks/useIsAIAssistantEnabled';
-
-export default function NozButton(): JSX.Element | null {
-	const { pathname } = useLocation();
-	const isAIAssistantEnabled = useIsAIAssistantEnabled();
-
-	const handleOpenNoz = useCallback((): void => {
-		void logEvent(AIAssistantEvents.Opened, {
-			source: AIAssistantOpenSource.TraceDetails,
-			currentPage: normalizePage(pathname),
-		});
-		openAIAssistant();
-	}, [pathname]);
-
-	if (!isAIAssistantEnabled) {
-		return null;
-	}
-
-	return (
-		<TooltipSimple title={NOZ_TOOLTIP_TITLE}>
-			<Button
-				variant="ghost"
-				size="icon"
-				color="secondary"
-				className="noz-wave"
-				aria-label="Open Noz"
-				onClick={handleOpenNoz}
-			>
-				<Noz size={16} />
-			</Button>
-		</TooltipSimple>
-	);
-}

frontend/src/pages/TraceDetailsV3/TraceWaterfall/TraceWaterfallStates/Success/Filters/Filters.tsx

@@ -20,7 +20,6 @@ import { DEFAULT_ENTITY_VERSION } from 'constants/app';
 import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
 import { useGetQueryRange } from 'hooks/queryBuilder/useGetQueryRange';
 import { uniqBy } from 'lodash-es';
-import NozButton from 'pages/TraceDetailsV3/TraceDetailsHeader/NozButton';
 import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
 import { Query, TagFilter } from 'types/api/queryBuilder/queryBuilderData';
 import {
@@ -427,8 +426,6 @@ function Filters({
 					)}
 				</div>
 
-				<NozButton />
-
 				<div className={styles.highlightControl}>{highlightErrorsToggle}</div>
 			</div>
 		</TooltipProvider>

frontend/vite.config.ts

@@ -95,7 +95,7 @@ export default defineConfig(({ mode }): UserConfig => {
 				project: env.VITE_SENTRY_PROJECT_ID,
 				// Pin the sourcemap-upload release to the same value injected as
 				// process.env.VERSION so uploaded sourcemaps resolve. Ref: platform-pod#2393
-				release: { name: env.VITE_VERSION, setCommits: { auto: true } },
+				release: { name: env.VITE_VERSION },
 			}),
 		);
 	}

pkg/modules/cloudintegration/config.go

@@ -22,7 +22,7 @@ func newConfig() factory.Config {
 		Agent: AgentConfig{
 			// we will maintain the latest version of cloud integration agent from here,
 			// till we automate it externally or figure out a way to validate it.
-			Version: "v0.0.10",
+			Version: "v0.0.11",
 		},
 	}
 }

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/appservice/icon.svg

@@ -1 +0,0 @@
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pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/appservice/integration.json

@@ -1,272 +0,0 @@
-{
-  "id": "appservice",
-  "title": "App Services",
-  "icon": "file://icon.svg",
-  "overview": "file://overview.md",
-  "supportedSignals": {
-    "metrics": true,
-    "logs": true
-  },
-  "dataCollected": {
-    "metrics": [
-      {
-        "name": "azure_averagememoryworkingset_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_bytesreceived_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_bytessent_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_backendrequestcount_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cputime_count",
-        "unit": "Milliseconds",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cputime_total",
-        "unit": "Milliseconds",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cputime_minimum",
-        "unit": "Milliseconds",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cputime_maximum",
-        "unit": "Milliseconds",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_currentassemblies_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_filesystemusage_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_gen0collections_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_ge10collections_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_gen2collections_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_handles_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_healthcheckstatus_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_http101_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http2xx_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http3xx_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http401_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http403_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http404_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http406_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http4xx_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_http5xx_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-
-      {
-        "name": "azure_httpresponsetime_average",
-        "unit": "Milliseconds",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_iootherbytespersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_iootheroperationspersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_ioreadbytespersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_ioreadoperationspersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_iowritebytespersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_iowriteoperationspersecond_total",
-        "unit": "BytesPerSecond",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_privatebytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_requests_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_requestsinapplicationqueue_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_thread_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalappdomains_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalappdomainsunloaded_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      }
-    ],
-    "logs": [
-      {
-        "name": "Resource ID",
-        "path": "resources.azure.resource.id",
-        "type": "string"
-      }
-    ]
-  },
-  "telemetryCollectionStrategy": {
-    "azure": {
-      "resourceProvider": "Microsoft.Web",
-      "resourceType": "sites",
-      "metrics": {},
-      "logs": {
-        "categoryGroups": ["allLogs"]
-      }
-    }
-  },
-  "assets": {
-    "dashboards": [
-      {
-        "id": "overview",
-        "title": "App Services Overview",
-        "description": "Overview of App Services metrics",
-        "definition": "file://assets/dashboards/overview.json"
-      }
-    ]
-  }
-}

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/appservice/overview.md

@@ -1,5 +0,0 @@
-### Monitor Azure App Services with SigNoz
-
-Collect key App Services metrics and view them with an out of the box dashboard.
-
-Note: This integration DO NOT collect metrics for any database that was setup with your App Service (if any).

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/icon.svg

@@ -1 +0,0 @@
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pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/integration.json

@@ -1,263 +0,0 @@
-{
-  "id": "containerapp",
-  "title": "Container App",
-  "icon": "file://icon.svg",
-  "overview": "file://overview.md",
-  "supportedSignals": {
-    "metrics": true,
-    "logs": true
-  },
-  "dataCollected": {
-    "metrics": [
-      {
-        "name": "azure_rxbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_minimum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_total",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_minimum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_total",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_coresquotaused_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_coresquotaused_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      }
-    ],
-    "logs": [
-      {
-        "name": "Resource ID",
-        "path": "resources.azure.resource.id",
-        "type": "string"
-      }
-    ]
-  },
-  "telemetryCollectionStrategy": {
-    "azure": {
-      "resourceProvider": "Microsoft.App",
-      "resourceType": "containerApps",
-      "metrics": {},
-      "logs": {
-        "categoryGroups": ["ContainerAppConsoleLogs", "ContainerAppSystemLogs"]
-      }
-    }
-  },
-  "assets": {
-    "dashboards": [
-      {
-        "id": "overview",
-        "title": "Container App Overview",
-        "description": "Overview of Container App metrics",
-        "definition": "file://assets/dashboards/overview.json"
-      }
-    ]
-  }
-}

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/overview.md

@@ -1,7 +0,0 @@
-### Monitor Container Apps with SigNoz
-
-Collect key Container App metrics and view them with an out of the box dashboard.
-
-To collect logs, you need to make sure that you have chosen "Azure Monitor" as the logging option for Container's App Environment.
-
-Note: This integration ingests logs for only "ContainerAppConsoleLogs" and "ContainerAppSystemLogs" diagnostic settings categories.

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/virtualmachine/icon.svg

@@ -1 +0,0 @@
-<svg id="fd454f1c-5506-44b8-874e-8814b8b2f70b" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 18 18"><defs><linearGradient id="f34d9569-2bd0-4002-8f16-3d01d8106cb5" x1="8.88" y1="12.21" x2="8.88" y2="0.21" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#0078d4"/><stop offset="0.82" stop-color="#5ea0ef"/></linearGradient><linearGradient id="bdb45a0b-eb58-4970-a60a-fb2ce314f866" x1="8.88" y1="16.84" x2="8.88" y2="12.21" gradientUnits="userSpaceOnUse"><stop offset="0.15" stop-color="#ccc"/><stop offset="1" stop-color="#707070"/></linearGradient></defs><title>Icon-compute-21</title><rect x="-0.12" y="0.21" width="18" height="12" rx="0.6" fill="url(#f34d9569-2bd0-4002-8f16-3d01d8106cb5)"/><polygon points="11.88 4.46 11.88 7.95 8.88 9.71 8.88 6.21 11.88 4.46" fill="#50e6ff"/><polygon points="11.88 4.46 8.88 6.22 5.88 4.46 8.88 2.71 11.88 4.46" fill="#c3f1ff"/><polygon points="8.88 6.22 8.88 9.71 5.88 7.95 5.88 4.46 8.88 6.22" fill="#9cebff"/><polygon points="5.88 7.95 8.88 6.21 8.88 9.71 5.88 7.95" fill="#c3f1ff"/><polygon points="11.88 7.95 8.88 6.21 8.88 9.71 11.88 7.95" fill="#9cebff"/><path d="M12.49,15.84c-1.78-.28-1.85-1.56-1.85-3.63H7.11c0,2.07-.06,3.35-1.84,3.63a1,1,0,0,0-.89,1h9A1,1,0,0,0,12.49,15.84Z" fill="url(#bdb45a0b-eb58-4970-a60a-fb2ce314f866)"/></svg>

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/virtualmachine/overview.md

@@ -1,3 +0,0 @@
-### Monitor Azure Virtual Machines with SigNoz
-
-Collect key Virtual Machines metrics and view them with an out of the box dashboard.

pkg/modules/metricsexplorer/implmetricsexplorer/module.go

@@ -219,7 +219,19 @@ func (m *module) GetStats(ctx context.Context, orgID valuer.UUID, req *metricsex
 		return nil, err
 	}
 
-	metricStats, total, err := m.fetchMetricsStatsWithSamples(ctx, req, false)
+	filterWhereClause, err := m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
+	if err != nil {
+		return nil, err
+	}
+
+	// Single query to get stats with samples, timeseries counts in required sorting order
+	metricStats, total, err := m.fetchMetricsStatsWithSamples(
+		ctx,
+		req,
+		filterWhereClause,
+		false,
+		req.OrderBy,
+	)
 	if err != nil {
 		return nil, err
 	}
@@ -256,16 +268,21 @@ func (m *module) GetTreemap(ctx context.Context, orgID valuer.UUID, req *metrics
 		return nil, err
 	}
 
+	filterWhereClause, err := m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
+	if err != nil {
+		return nil, err
+	}
+
 	resp := &metricsexplorertypes.TreemapResponse{}
 	switch req.Mode {
 	case metricsexplorertypes.TreemapModeSamples:
-		entries, err := m.computeSamplesTreemap(ctx, req)
+		entries, err := m.computeSamplesTreemap(ctx, req, filterWhereClause)
 		if err != nil {
 			return nil, err
 		}
 		resp.Samples = entries
 	default: // TreemapModeTimeSeries
-		entries, err := m.computeTimeseriesTreemap(ctx, req)
+		entries, err := m.computeTimeseriesTreemap(ctx, req, filterWhereClause)
 		if err != nil {
 			return nil, err
 		}
@@ -957,23 +974,15 @@ func (m *module) buildFilterClause(ctx context.Context, filter *qbtypes.Filter,
 func (m *module) fetchMetricsStatsWithSamples(
 	ctx context.Context,
 	req *metricsexplorertypes.StatsRequest,
+	filterWhereClause *sqlbuilder.WhereClause,
 	normalized bool,
+	orderBy *qbtypes.OrderBy,
 ) ([]metricsexplorertypes.Stat, uint64, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "fetchMetricsStatsWithSamples")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, 0, err
-		}
-	}
-
 	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
-	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
-	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
+	samplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
+	countExp := telemetrymetrics.CountExpressionForSamplesTable(samplesTable)
 
 	// Timeseries counts per metric
 	tsSB := sqlbuilder.NewSelectBuilder()
@@ -996,7 +1005,7 @@ func (m *module) fetchMetricsStatsWithSamples(
 		"metric_name",
 		fmt.Sprintf("%s AS samples", countExp),
 	)
-	samplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	samplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	samplesSB.Where(samplesSB.Between("unix_milli", req.Start, req.End))
 	samplesSB.Where("NOT startsWith(metric_name, 'signoz')")
 
@@ -1004,8 +1013,6 @@ func (m *module) fetchMetricsStatsWithSamples(
 		sqlbuilder.CTEQuery("__time_series_counts").As(tsSB),
 	}
 
-	// Narrow samples scan. With filter: fingerprint IN (per-fingerprint label preds can't fold to metric_name).
-	// No filter (fast path): metric_name IN — aligns with samples table's leading sort key, orders of magnitude cheaper.
 	if filterWhereClause != nil {
 		fingerprintSB := sqlbuilder.NewSelectBuilder()
 		fingerprintSB.Select("fingerprint")
@@ -1018,15 +1025,6 @@ func (m *module) fetchMetricsStatsWithSamples(
 
 		ctes = append(ctes, sqlbuilder.CTEQuery("__filtered_fingerprints").As(fingerprintSB))
 		samplesSB.Where("fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints)")
-	} else {
-		metricNamesSB := sqlbuilder.NewSelectBuilder()
-		metricNamesSB.Select("DISTINCT metric_name")
-		metricNamesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTsTable))
-		metricNamesSB.Where(metricNamesSB.Between("unix_milli", start, end))
-		metricNamesSB.Where("NOT startsWith(metric_name, 'signoz')")
-		metricNamesSB.Where(metricNamesSB.E("__normalized", normalized))
-
-		samplesSB.Where(fmt.Sprintf("metric_name IN (%s)", samplesSB.Var(metricNamesSB)))
 	}
 	samplesSB.GroupBy("metric_name")
 
@@ -1043,7 +1041,7 @@ func (m *module) fetchMetricsStatsWithSamples(
 	finalSB.JoinWithOption(sqlbuilder.FullOuterJoin, "__sample_counts s", "ts.metric_name = s.metric_name")
 	finalSB.Where("(COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0)")
 
-	orderByColumn, orderDirection, err := getStatsOrderByColumn(req.OrderBy)
+	orderByColumn, orderDirection, err := getStatsOrderByColumn(orderBy)
 	if err != nil {
 		return nil, 0, err
 	}
@@ -1087,19 +1085,9 @@ func (m *module) fetchMetricsStatsWithSamples(
 	return metricStats, total, nil
 }
 
-func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest) ([]metricsexplorertypes.TreemapEntry, error) {
+func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest, filterWhereClause *sqlbuilder.WhereClause) ([]metricsexplorertypes.TreemapEntry, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "computeTimeseriesTreemap")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, err
-		}
-	}
-
 	start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
 
 	totalTSBuilder := sqlbuilder.NewSelectBuilder()
@@ -1163,22 +1151,12 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplo
 	return entries, nil
 }
 
-func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest) ([]metricsexplorertypes.TreemapEntry, error) {
+func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest, filterWhereClause *sqlbuilder.WhereClause) ([]metricsexplorertypes.TreemapEntry, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "computeSamplesTreemap")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, err
-		}
-	}
-
 	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
-	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
-	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
+	samplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
+	countExp := telemetrymetrics.CountExpressionForSamplesTable(samplesTable)
 
 	candidateLimit := req.Limit + 50
 
@@ -1201,7 +1179,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorer
 
 	totalSamplesSB := sqlbuilder.NewSelectBuilder()
 	totalSamplesSB.Select(fmt.Sprintf("%s AS total_samples", countExp))
-	totalSamplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	totalSamplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	totalSamplesSB.Where(totalSamplesSB.Between("unix_milli", req.Start, req.End))
 
 	sampleCountsSB := sqlbuilder.NewSelectBuilder()
@@ -1209,7 +1187,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorer
 		"metric_name",
 		fmt.Sprintf("%s AS samples", countExp),
 	)
-	sampleCountsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	sampleCountsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	sampleCountsSB.Where(sampleCountsSB.Between("unix_milli", req.Start, req.End))
 	sampleCountsSB.Where("metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates)")
 

pkg/modules/metricsexplorer/implmetricsexplorer/module_test.go

@@ -1,270 +0,0 @@
-package implmetricsexplorer_test
-
-import (
-	"context"
-	"regexp"
-	"testing"
-
-	"github.com/DATA-DOG/go-sqlmock"
-	cmock "github.com/SigNoz/clickhouse-go-mock"
-	"github.com/SigNoz/signoz/pkg/cache"
-	"github.com/SigNoz/signoz/pkg/cache/cachetest"
-	"github.com/SigNoz/signoz/pkg/errors"
-	"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
-	"github.com/SigNoz/signoz/pkg/modules/metricsexplorer"
-	"github.com/SigNoz/signoz/pkg/modules/metricsexplorer/implmetricsexplorer"
-	"github.com/SigNoz/signoz/pkg/telemetrystore"
-	"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
-	"github.com/SigNoz/signoz/pkg/types/metricsexplorertypes"
-	qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
-	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
-	"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
-	"github.com/SigNoz/signoz/pkg/valuer"
-	"github.com/stretchr/testify/assert"
-)
-
-const (
-	// fixed, deterministic time window (range < 6h so the table selectors resolve
-	// to stable table names that the expected SQL strings can hard-code).
-	testStartMillis                int64 = 1700000000000
-	testEndMillis                  int64 = 1700003600000 // +1h
-	statsNoFilterSQL                     = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ?) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ?"
-	statsOrderTimeseriesSQL              = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ?) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY timeseries ASC, metric_name ASC LIMIT ? OFFSET ?"
-	statsWithFilterSQL                   = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ?"
-	treemapTimeseriesNoFilterSQL         = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND __normalized = ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name) SELECT mt.metric_name, mt.total_value, CASE WHEN tts.total_time_series = 0 THEN 0 ELSE (mt.total_value * 100.0 / tts.total_time_series) END AS percentage FROM __metric_totals mt JOIN __total_time_series tts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapTimeseriesWithFilterSQL       = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND __normalized = ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name) SELECT mt.metric_name, mt.total_value, CASE WHEN tts.total_time_series = 0 THEN 0 ELSE (mt.total_value * 100.0 / tts.total_time_series) END AS percentage FROM __metric_totals mt JOIN __total_time_series tts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapSamplesNoFilterSQL            = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND unix_milli BETWEEN ? AND ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?) SELECT mc.metric_name, COALESCE(sc.samples, 0) AS samples, CASE WHEN ts.total_samples = 0 THEN 0 ELSE (COALESCE(sc.samples, 0) * 100.0 / ts.total_samples) END AS percentage FROM __metric_candidates mc LEFT JOIN __sample_counts sc ON mc.metric_name = sc.metric_name JOIN __total_samples ts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapSamplesWithFilterSQL          = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?) SELECT mc.metric_name, COALESCE(sc.samples, 0) AS samples, CASE WHEN ts.total_samples = 0 THEN 0 ELSE (COALESCE(sc.samples, 0) * 100.0 / ts.total_samples) END AS percentage FROM __metric_candidates mc LEFT JOIN __sample_counts sc ON mc.metric_name = sc.metric_name JOIN __total_samples ts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-)
-
-var testOrgID = valuer.GenerateUUID()
-
-type statsOpt func(*metricsexplorertypes.StatsRequest)
-
-type treemapOpt func(*metricsexplorertypes.TreemapRequest)
-
-// newTestModule builds the metricsexplorer module backed by a mocked clickhouse
-// connection, a mock metadata store, and an in-memory cache.
-func newTestModule(t *testing.T, matcher sqlmock.QueryMatcher) (metricsexplorer.Module, cmock.ClickConnMockCommon, *telemetrytypestest.MockMetadataStore) {
-	t.Helper()
-
-	ts := telemetrystoretest.New(telemetrystore.Config{}, matcher)
-	md := telemetrytypestest.NewMockMetadataStore()
-	c, err := cachetest.New(cache.Config{Provider: "memory", Memory: cache.Memory{NumCounters: 1000, MaxCost: 1 << 20}})
-	if err != nil {
-		t.Fatalf("cachetest.New: %v", err)
-	}
-
-	settings := instrumentationtest.New().ToProviderSettings()
-	mod := implmetricsexplorer.NewModule(ts, md, c, nil /*ruleStore*/, nil /*dashboardModule*/, settings, metricsexplorer.Config{})
-
-	return mod, ts.Mock(), md
-}
-
-func statsRequest(opts ...statsOpt) *metricsexplorertypes.StatsRequest {
-	req := &metricsexplorertypes.StatsRequest{
-		Start: testStartMillis,
-		End:   testEndMillis,
-		Limit: 10,
-	}
-	for _, o := range opts {
-		o(req)
-	}
-	return req
-}
-
-func withStatsFilter(expr string) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.Filter = &qbtypes.Filter{Expression: expr}
-	}
-}
-
-func withStatsLimit(limit int) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.Limit = limit
-	}
-}
-
-func withStatsOrderBy(name string, dir qbtypes.OrderDirection) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.OrderBy = &qbtypes.OrderBy{
-			Key:       qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: name}},
-			Direction: dir,
-		}
-	}
-}
-
-func treemapRequest(mode metricsexplorertypes.TreemapMode, opts ...treemapOpt) *metricsexplorertypes.TreemapRequest {
-	req := &metricsexplorertypes.TreemapRequest{
-		Start: testStartMillis,
-		End:   testEndMillis,
-		Limit: 10,
-		Mode:  mode,
-	}
-	for _, o := range opts {
-		o(req)
-	}
-	return req
-}
-
-func withTreemapFilter(expr string) treemapOpt {
-	return func(req *metricsexplorertypes.TreemapRequest) {
-		req.Filter = &qbtypes.Filter{Expression: expr}
-	}
-}
-
-// seedFilterKey registers a string attribute field so buildFilterClause can
-// resolve it when parsing a filter expression that references it.
-func seedFilterKey(md *telemetrytypestest.MockMetadataStore, name string) {
-	md.KeysMap[name] = []*telemetrytypes.TelemetryFieldKey{
-		{
-			Name:          name,
-			Signal:        telemetrytypes.SignalMetrics,
-			FieldContext:  telemetrytypes.FieldContextAttribute,
-			FieldDataType: telemetrytypes.FieldDataTypeString,
-		},
-	}
-}
-
-// anyArgs returns n nil wildcards. cmock treats a nil expected arg as a match
-// for any actual value, so this asserts only the bound-arg count, not values
-// (the SQL text itself is what we verify). The count must match the query.
-func anyArgs(n int) []any {
-	return make([]any, n)
-}
-
-func treemapEntryRows() *cmock.Rows {
-	return cmock.NewRows(
-		[]cmock.ColumnType{
-			{Name: "metric_name", Type: "String"},
-			{Name: "total_value", Type: "UInt64"},
-			{Name: "percentage", Type: "Float64"},
-		},
-		[][]any{
-			{"metric_a", uint64(50), 50.0},
-			{"metric_b", uint64(30), 30.0},
-		},
-	)
-}
-
-func TestGetStats(t *testing.T) {
-	tests := []struct {
-		name      string
-		opts      []statsOpt
-		seedKey   string
-		queryErr  error
-		expectSQL string
-		argCount  int
-		noQuery   bool // SQL never reaches clickhouse (validation/build error)
-		wantCode  errors.Code
-	}{
-		{name: "NoFilter_FastPathSQL", expectSQL: statsNoFilterSQL, argCount: 10},
-		{name: "WhitespaceFilter_FastPathSQL", opts: []statsOpt{withStatsFilter("   ")}, expectSQL: statsNoFilterSQL, argCount: 10},
-		{name: "WithFilter_FingerprintSQL", opts: []statsOpt{withStatsFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: statsWithFilterSQL, argCount: 12},
-		{name: "OrderByTimeseriesAsc", opts: []statsOpt{withStatsOrderBy("timeseries", qbtypes.OrderDirectionAsc)}, expectSQL: statsOrderTimeseriesSQL, argCount: 10},
-		{name: "OrderByInvalid", opts: []statsOpt{withStatsOrderBy("nonsense", qbtypes.OrderDirectionAsc)}, noQuery: true, wantCode: errors.CodeInvalidInput},
-		{name: "QueryError", queryErr: assert.AnError, expectSQL: statsNoFilterSQL, argCount: 10, wantCode: errors.CodeInternal},
-		{name: "InvalidRequest_Limit", opts: []statsOpt{withStatsLimit(0)}, noQuery: true, wantCode: errors.CodeInvalidInput},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			mod, mock, md := newTestModule(t, sqlmock.QueryMatcherRegexp)
-			if tc.seedKey != "" {
-				seedFilterKey(md, tc.seedKey)
-			}
-
-			if !tc.noQuery {
-				eq := mock.ExpectQuery(regexp.QuoteMeta(tc.expectSQL)).WithArgs(anyArgs(tc.argCount)...)
-				if tc.queryErr != nil {
-					eq.WillReturnError(tc.queryErr)
-				} else {
-					eq.WillReturnRows(cmock.NewRows(nil, nil))
-				}
-			}
-
-			_, err := mod.GetStats(context.Background(), testOrgID, statsRequest(tc.opts...))
-			if tc.wantCode.String() != "" {
-				assert.Error(t, err)
-				assert.Truef(t, errors.Asc(err, tc.wantCode), "want code %s, got %v", tc.wantCode, err)
-				return
-			}
-			assert.NoError(t, err)
-			assert.NoError(t, mock.ExpectationsWereMet())
-		})
-	}
-}
-
-func TestGetTreemap(t *testing.T) {
-	wantEntries := []metricsexplorertypes.TreemapEntry{
-		{MetricName: "metric_a", TotalValue: 50, Percentage: 50.0},
-		{MetricName: "metric_b", TotalValue: 30, Percentage: 30.0},
-	}
-
-	tests := []struct {
-		name        string
-		mode        metricsexplorertypes.TreemapMode
-		opts        []treemapOpt
-		seedKey     string
-		queryErr    error
-		expectSQL   string
-		argCount    int
-		rows        *cmock.Rows
-		wantSamples []metricsexplorertypes.TreemapEntry
-		wantTS      []metricsexplorertypes.TreemapEntry
-		noQuery     bool
-		wantCode    errors.Code
-		wantErr     bool
-	}{
-		{name: "TimeSeries_NoFilter_SQL", mode: metricsexplorertypes.TreemapModeTimeSeries, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7},
-		{name: "TimeSeries_WithFilter_SQL", mode: metricsexplorertypes.TreemapModeTimeSeries, opts: []treemapOpt{withTreemapFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: treemapTimeseriesWithFilterSQL, argCount: 8},
-		{name: "TimeSeries_ScansEntries", mode: metricsexplorertypes.TreemapModeTimeSeries, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7, rows: treemapEntryRows(), wantTS: wantEntries},
-		{name: "Samples_NoFilter_SQL", mode: metricsexplorertypes.TreemapModeSamples, expectSQL: treemapSamplesNoFilterSQL, argCount: 9},
-		{name: "Samples_WithFilter_SQL", mode: metricsexplorertypes.TreemapModeSamples, opts: []treemapOpt{withTreemapFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: treemapSamplesWithFilterSQL, argCount: 14},
-		{name: "Samples_ScansEntries", mode: metricsexplorertypes.TreemapModeSamples, expectSQL: treemapSamplesNoFilterSQL, argCount: 9, rows: treemapEntryRows(), wantSamples: wantEntries},
-		{name: "FilterBuildError", mode: metricsexplorertypes.TreemapModeTimeSeries, opts: []treemapOpt{withTreemapFilter("host.name =")}, noQuery: true, wantErr: true},
-		{name: "QueryError", mode: metricsexplorertypes.TreemapModeTimeSeries, queryErr: assert.AnError, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7, wantCode: errors.CodeInternal},
-		{name: "InvalidMode", mode: metricsexplorertypes.TreemapMode{}, noQuery: true, wantCode: errors.CodeInvalidInput},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			mod, mock, md := newTestModule(t, sqlmock.QueryMatcherRegexp)
-			if tc.seedKey != "" {
-				seedFilterKey(md, tc.seedKey)
-			}
-
-			if !tc.noQuery {
-				eq := mock.ExpectQuery(regexp.QuoteMeta(tc.expectSQL)).WithArgs(anyArgs(tc.argCount)...)
-				switch {
-				case tc.queryErr != nil:
-					eq.WillReturnError(tc.queryErr)
-				case tc.rows != nil:
-					eq.WillReturnRows(tc.rows)
-				default:
-					eq.WillReturnRows(cmock.NewRows(nil, nil))
-				}
-			}
-
-			resp, err := mod.GetTreemap(context.Background(), testOrgID, treemapRequest(tc.mode, tc.opts...))
-			switch {
-			case tc.wantCode.String() != "":
-				assert.Error(t, err)
-				assert.Truef(t, errors.Asc(err, tc.wantCode), "want code %s, got %v", tc.wantCode, err)
-				return
-			case tc.wantErr:
-				assert.Error(t, err)
-				return
-			}
-
-			assert.NoError(t, err)
-			assert.NoError(t, mock.ExpectationsWereMet())
-			if tc.wantTS != nil {
-				assert.Equal(t, tc.wantTS, resp.TimeSeries)
-			}
-			if tc.wantSamples != nil {
-				assert.Equal(t, tc.wantSamples, resp.Samples)
-			}
-		})
-	}
-}

pkg/modules/tracedetail/config.go

@@ -59,19 +59,19 @@ func (c Config) Validate() error {
 		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.waterfall.max_limit_to_select_all_spans must be positive")
 	}
 	if c.Flamegraph.MaxSelectedLevels <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.max_selected_levels must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.level_limit must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
 	}
 	if c.Flamegraph.MaxSpansPerLevel <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.max_spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
 	}
 	if c.Flamegraph.SamplingTopLatencySpansCount < 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.sampling_top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
 	}
 	if c.Flamegraph.SamplingBucketCount <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.sampling_bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
 	}
 	if c.Flamegraph.SelectAllSpansLimit == 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.select_all_spans_limit must be positive")
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.max_limit_to_select_all_spans must be positive")
 	}
 	return nil
 }

pkg/modules/tracedetail/impltracedetail/module.go

@@ -34,7 +34,6 @@ func NewModule(traceStore spantypes.TraceStore, providerSettings factory.Provide
 	}
 
 	m.metrics.waterfallSpanLimit.Record(context.Background(), int64(cfg.Waterfall.MaxLimitToSelectAllSpans), metric.WithAttributes(attrResponseType.String(attrResponseTypeWindowed)))
-	m.metrics.flamegraphSpanLimit.Record(context.Background(), int64(cfg.Flamegraph.SelectAllSpansLimit), metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
 
 	return m
 }
@@ -174,7 +173,6 @@ func (m *module) GetFlamegraph(ctx context.Context, traceID string, selectedSpan
 	if summary.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
 		return m.getFullFlamegraph(ctx, traceID, summary, selectFields)
 	}
-	m.metrics.flamegraphRequestCount.Add(ctx, 1, metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
 	return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, summary, selectFields)
 }
 

pkg/modules/tracedetail/impltracedetail/telemetry.go

@@ -9,16 +9,12 @@ import (
 const (
 	attrResponseType         = attribute.Key("response_type")
 	attrResponseTypeWindowed = "windowed"
-	attrResponseTypeSampled  = "sampled"
 )
 
 type moduleMetrics struct {
 	waterfallSpanLimit    metric.Int64Gauge
 	waterfallRequestCount metric.Int64Counter
 	waterfallSpanCount    metric.Int64Counter
-
-	flamegraphSpanLimit    metric.Int64Gauge
-	flamegraphRequestCount metric.Int64Counter
 }
 
 func newModuleMetrics(meter metric.Meter) (*moduleMetrics, error) {
@@ -51,30 +47,9 @@ func newModuleMetrics(meter metric.Meter) (*moduleMetrics, error) {
 		errs = errors.Join(errs, err)
 	}
 
-	flamegraphSpanLimit, err := meter.Int64Gauge(
-		"signoz.traces.flamegraph.span.limit",
-		metric.WithDescription("The span count limit above which sampled flamegraph is returned instead of the full flamegraph."),
-		metric.WithUnit("{span}"),
-	)
-	if err != nil {
-		errs = errors.Join(errs, err)
-	}
-
-	flamegraphRequestCount, err := meter.Int64Counter(
-		"signoz.traces.flamegraph.request.count",
-		metric.WithDescription("Total number of flamegraph requests, by response_type."),
-		metric.WithUnit("{request}"),
-	)
-	if err != nil {
-		errs = errors.Join(errs, err)
-	}
-
 	return &moduleMetrics{
 		waterfallSpanLimit:    spanLimit,
 		waterfallRequestCount: requestCount,
 		waterfallSpanCount:    spanCount,
-
-		flamegraphSpanLimit:    flamegraphSpanLimit,
-		flamegraphRequestCount: flamegraphRequestCount,
 	}, errs
 }

pkg/types/cloudintegrationtypes/serviceid.go

@@ -27,9 +27,6 @@ var (
 	// Azure services.
 	AzureServiceStorageAccountsBlob = ServiceID{valuer.NewString("storageaccountsblob")}
 	AzureServiceCDNProfile          = ServiceID{valuer.NewString("cdnprofile")}
-	AzureServiceVirtualMachine      = ServiceID{valuer.NewString("virtualmachine")}
-	AzureServiceAppService          = ServiceID{valuer.NewString("appservice")}
-	AzureServiceContainerApp        = ServiceID{valuer.NewString("containerapp")}
 	AzureServiceAKS                 = ServiceID{valuer.NewString("aks")}
 )
 
@@ -50,9 +47,6 @@ func (ServiceID) Enum() []any {
 		AWSServiceSQS,
 		AzureServiceStorageAccountsBlob,
 		AzureServiceCDNProfile,
-		AzureServiceVirtualMachine,
-		AzureServiceAppService,
-		AzureServiceContainerApp,
 		AzureServiceAKS,
 	}
 }
@@ -77,9 +71,6 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
 	CloudProviderTypeAzure: {
 		AzureServiceStorageAccountsBlob,
 		AzureServiceCDNProfile,
-		AzureServiceVirtualMachine,
-		AzureServiceAppService,
-		AzureServiceContainerApp,
 		AzureServiceAKS,
 	},
 }

pkg/types/spantypes/flamegraph_trace.go

@@ -40,56 +40,13 @@ func NewFlamegraphTraceFromStorable(spans []StorableSpan, selectFields []telemet
 	return t
 }
 
-// GetAllLevels return level wise spans using BFS on trace.
 func (t *FlamegraphTrace) GetAllLevels() [][]*FlamegraphSpan {
-	var result [][]*FlamegraphSpan
-	for _, root := range t.roots {
-		currentLevel := []*FlamegraphSpan{root}
-		for depth := int64(0); len(currentLevel) > 0; depth++ {
-			var nextLevel []*FlamegraphSpan
-			for _, node := range currentLevel {
-				node.Level = depth
-				nextLevel = append(nextLevel, node.Children...)
-				node.Children = nil // release tree reference
-			}
-			result = append(result, currentLevel)
-			currentLevel = nextLevel
-		}
-	}
-
-	return result
+	return nil
 }
 
 // GetSelectedLevels returns the window of levels around selectedSpanID with sampling applied to dense levels.
 func (t *FlamegraphTrace) GetSelectedLevels(selectedSpanID string, levelLimit, spansPerLevel, topLatencyCount, bucketCount int) []FlamegraphLevel {
-	allLevels := t.GetAllLevels()
-
-	selectedIndex := getLevelIndex(allLevels, selectedSpanID)
-
-	// 40% window above level with selected span and 60% below that
-	beforeSelectedLevel := int(float64(levelLimit) * 0.4)
-	startLevel := max(0, selectedIndex-beforeSelectedLevel)
-	endLevel := min(len(allLevels), startLevel+levelLimit)
-	startLevel = max(0, endLevel-levelLimit) // utilize the page size if endLevel is clamped
-
-	result := make([]FlamegraphLevel, 0, endLevel-startLevel)
-	for i := startLevel; i < endLevel; i++ {
-		spans := allLevels[i]
-		sampled := spans
-		if len(spans) > spansPerLevel {
-			sampled = t.sampleLevel(spans, selectedSpanID, i == selectedIndex, topLatencyCount, bucketCount)
-		}
-		if len(sampled) == 0 {
-			continue
-		}
-		spanIDs := make([]string, len(sampled))
-		for j, s := range sampled {
-			spanIDs[j] = s.SpanID
-		}
-		result = append(result, FlamegraphLevel{Level: spans[0].Level, SpanIDs: spanIDs})
-	}
-
-	return result
+	return nil
 }
 
 func (t *FlamegraphTrace) EnrichSelectedSpans(selectedSpans []FlamegraphLevel, fullSpans []StorableSpan, selectFields []telemetrytypes.TelemetryFieldKey) [][]*FlamegraphSpan {
@@ -144,77 +101,6 @@ func (t *FlamegraphTrace) buildSpanTree() {
 	})
 }
 
-func (t *FlamegraphTrace) sampleLevel(spans []*FlamegraphSpan, selectedSpanID string, isSelectedLevel bool, topLatencyCount, bucketCount int) []*FlamegraphSpan {
-	sorted := make([]*FlamegraphSpan, len(spans))
-	copy(sorted, spans)
-	sort.Slice(sorted, func(i, j int) bool {
-		return sorted[i].DurationNano > sorted[j].DurationNano
-	})
-
-	sampled := make(map[string]*FlamegraphSpan, topLatencyCount+1)
-
-	topK := min(topLatencyCount, len(sorted))
-	for _, span := range sorted[:topK] {
-		sampled[span.SpanID] = span
-	}
-
-	// include the selected span.
-	if isSelectedLevel {
-		for _, span := range sorted {
-			if span.SpanID == selectedSpanID {
-				sampled[span.SpanID] = span
-				break
-			}
-		}
-	}
-
-	for _, span := range t.bucketSampleSpans(sorted, bucketCount, sampled) {
-		sampled[span.SpanID] = span
-	}
-
-	result := make([]*FlamegraphSpan, 0, len(sampled))
-	for _, span := range sampled {
-		result = append(result, span)
-	}
-	return result
-}
-
-func (t *FlamegraphTrace) bucketSampleSpans(sorted []*FlamegraphSpan, bucketCount int, exclude map[string]*FlamegraphSpan) []*FlamegraphSpan {
-	bucketSize := (t.endTime - t.startTime) / uint64(bucketCount)
-	if bucketSize == 0 {
-		bucketSize = 1
-	}
-	buckets := make([][]*FlamegraphSpan, bucketCount)
-	for _, span := range sorted {
-		if _, ok := exclude[span.SpanID]; ok {
-			continue
-		}
-		if span.Timestamp < t.startTime || span.Timestamp > t.endTime {
-			continue
-		}
-		idx := min(int((span.Timestamp-t.startTime)/bucketSize), bucketCount-1)
-		if len(buckets[idx]) < 2 {
-			buckets[idx] = append(buckets[idx], span)
-		}
-	}
-	var result []*FlamegraphSpan
-	for _, bucket := range buckets {
-		result = append(result, bucket...)
-	}
-	return result
-}
-
-func getLevelIndex(levels [][]*FlamegraphSpan, spanID string) int {
-	for i, lvl := range levels {
-		for _, span := range lvl {
-			if span.SpanID == spanID {
-				return i
-			}
-		}
-	}
-	return 0
-}
-
 func flamegraphSpanIndex(spans []*FlamegraphSpan, spanID string) int {
 	for i, s := range spans {
 		if s.SpanID == spanID {

pkg/types/spantypes/flamegraph_trace_test.go

@@ -1,270 +0,0 @@
-package spantypes
-
-import (
-	"fmt"
-	"testing"
-	"time"
-
-	"github.com/stretchr/testify/assert"
-)
-
-// mkMinimal builds a MinimalSpan. timestamp and duration are in nanoseconds.
-func mkMinimal(id, parentID string, timestamp, duration uint64) MinimalSpan {
-	return MinimalSpan{
-		SpanID:       id,
-		ParentSpanID: parentID,
-		StartTime:    time.Unix(0, int64(timestamp)),
-		DurationNano: duration,
-	}
-}
-
-// levelIDs extracts span IDs level-by-level from GetAllLevels output.
-func levelIDs(levels [][]*FlamegraphSpan) [][]string {
-	out := make([][]string, len(levels))
-	for i, lvl := range levels {
-		ids := make([]string, len(lvl))
-		for j, s := range lvl {
-			ids[j] = s.SpanID
-		}
-		out[i] = ids
-	}
-	return out
-}
-
-// makeChainFG builds a linear trace of n spans: span0 → span1 → … → span(n-1).
-func makeChainFG(n int) *FlamegraphTrace {
-	spans := make([]MinimalSpan, n)
-	for i := range n {
-		parent := ""
-		if i > 0 {
-			parent = fmt.Sprintf("span%d", i-1)
-		}
-		spans[i] = mkMinimal(fmt.Sprintf("span%d", i), parent, uint64(i*100), 100)
-	}
-	return NewFlamegraphTraceFromMinimal(spans)
-}
-
-// makeBroadTrace builds a trace: root → N children (wide, one level deep).
-func makeBroadTrace(n int) *FlamegraphTrace {
-	spans := make([]MinimalSpan, n+1)
-	spans[0] = mkMinimal("root", "", 0, uint64(n*100))
-	for i := range n {
-		spans[i+1] = mkMinimal(fmt.Sprintf("child%d", i), "root", uint64(i*100), 100)
-	}
-	return NewFlamegraphTraceFromMinimal(spans)
-}
-
-// ─────────────────────────────────────────────────────────────────────────────
-// buildSpanTree / GetAllLevels
-// ─────────────────────────────────────────────────────────────────────────────
-
-func TestGetAllLevels(t *testing.T) {
-	tests := []struct {
-		name  string
-		spans []MinimalSpan
-		check func(t *testing.T, levels [][]*FlamegraphSpan)
-	}{
-		{
-			// root → child → grandchild: three levels, one span each.
-			name: "linear_chain",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 300),
-				mkMinimal("child", "root", 150, 200),
-				mkMinimal("grandchild", "child", 200, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Equal(t, [][]string{{"root"}, {"child"}, {"grandchild"}}, levelIDs(levels))
-			},
-		},
-		{
-			// root → [A, B]: level 0 has root, level 1 has both children.
-			name: "two_siblings",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 300),
-				mkMinimal("A", "root", 150, 100),
-				mkMinimal("B", "root", 200, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Equal(t, []string{"root"}, levelIDs(levels)[0])
-				assert.ElementsMatch(t, []string{"A", "B"}, levelIDs(levels)[1])
-			},
-		},
-		{
-			// child references a non-existent parent → synthetic "Missing Span" root at level 0.
-			name: "missing_parent",
-			spans: []MinimalSpan{
-				mkMinimal("child", "ghost", 100, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Len(t, levels, 2)
-				assert.Equal(t, "ghost", levels[0][0].SpanID)
-				assert.Equal(t, "Missing Span", levels[0][0].Name)
-				assert.Equal(t, "child", levels[1][0].SpanID)
-			},
-		},
-		{
-			// Children must be nil after BFS so the tree does not stay live in memory.
-			name: "children_nilled_after_bfs",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 200),
-				mkMinimal("child", "root", 150, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				for _, lvl := range levels {
-					for _, s := range lvl {
-						assert.Nil(t, s.Children)
-					}
-				}
-			},
-		},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			tc.check(t, NewFlamegraphTraceFromMinimal(tc.spans).GetAllLevels())
-		})
-	}
-}
-
-// ─────────────────────────────────────────────────────────────────────────────
-// GetSelectedLevels
-// ─────────────────────────────────────────────────────────────────────────────
-
-func TestGetSelectedLevels(t *testing.T) {
-	tests := []struct {
-		name          string
-		buildTrace    func() *FlamegraphTrace
-		selectedSpan  string
-		levelLimit    int
-		spansPerLevel int
-		topK          int
-		bucketCount   int
-		check         func(t *testing.T, levels []FlamegraphLevel)
-	}{
-		{
-			// Middle: 40% above (20 levels) + 60% below (30 levels) = 50 total.
-			name:          "window_middle",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span50",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span30", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Near start: clamp at 0, redistribute budget downward — still 50 levels.
-			name:          "window_near_start",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span5",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span0", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Near end: clamp at total, redistribute budget upward — still 50 levels.
-			name:          "window_near_end",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span95",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span50", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Unknown span ID falls back to level 0.
-			name:          "unknown_span_defaults_to_level_zero",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(10) },
-			selectedSpan:  "nonexistent",
-			levelLimit:    5,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, "span0", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Dense levels are sampled down to approximately spansPerLevel.
-			name:          "sampling_respects_cap",
-			buildTrace:    func() *FlamegraphTrace { return makeBroadTrace(200) },
-			selectedSpan:  "root",
-			levelLimit:    10,
-			spansPerLevel: 10,
-			topK:          3,
-			bucketCount:   5,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				for _, lvl := range levels {
-					assert.LessOrEqual(t, len(lvl.SpanIDs), 10+3+5*2)
-				}
-			},
-		},
-		{
-			// Selected span always survives sampling even when not in topK.
-			name:          "selected_span_always_included",
-			buildTrace:    func() *FlamegraphTrace { return makeBroadTrace(200) },
-			selectedSpan:  "child99",
-			levelLimit:    10,
-			spansPerLevel: 5,
-			topK:          3,
-			bucketCount:   5,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				found := false
-				for _, lvl := range levels {
-					for _, id := range lvl.SpanIDs {
-						if id == "child99" {
-							found = true
-						}
-					}
-				}
-				assert.True(t, found, "selected span must survive sampling")
-			},
-		},
-		{
-			// Selected span is also the highest-latency span (lands in topK) — must not appear twice.
-			name: "no_duplicate_span_ids",
-			buildTrace: func() *FlamegraphTrace {
-				spans := make([]MinimalSpan, 201)
-				spans[0] = mkMinimal("root", "", 0, 10000)
-				for i := range 200 {
-					spans[i+1] = mkMinimal(fmt.Sprintf("child%d", i), "root", uint64(i*50), uint64(200-i)*10)
-				}
-				return NewFlamegraphTraceFromMinimal(spans)
-			},
-			selectedSpan:  "child0",
-			levelLimit:    10,
-			spansPerLevel: 5,
-			topK:          3,
-			bucketCount:   10,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				for _, lvl := range levels {
-					seen := map[string]bool{}
-					for _, id := range lvl.SpanIDs {
-						assert.False(t, seen[id], "duplicate span ID %q at level %d", id, lvl.Level)
-						seen[id] = true
-					}
-				}
-			},
-		},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			// fresh trace per subtest: GetAllLevels is destructive (nils Children)
-			levels := tc.buildTrace().GetSelectedLevels(tc.selectedSpan, tc.levelLimit, tc.spansPerLevel, tc.topK, tc.bucketCount)
-			tc.check(t, levels)
-		})
-	}
-}

tests/integration/testdata/inframonitoring/namespaces_filter_dataset.jsonl

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

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

@@ -1,63 +0,0 @@
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy.jsonl

@@ -1,45 +0,0 @@
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-{"metric_name":"k8s.pod.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}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"notready-n","k8s.node.uid":"notready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -1,54 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"g-ready-1","k8s.node.uid":"g-r1-uid","k8s.cluster.name":"cluster-mixed"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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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.pod.phase","labels":{"k8s.pod.uid":"pod-gb-a-eu-uid","k8s.pod.name":"pod-gb-a-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-a-eu","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.node.cpu.usage","labels":{"k8s.node.name":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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":"gb-b-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us","k8s.node.uid":"gb-bus-uid","k8s.cluster.name":"gb-cluster-b","zone":"us"},"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-us-uid","k8s.pod.name":"pod-gb-b-us","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-us","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-us-uid","k8s.pod.name":"pod-gb-b-us","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-us","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-us-uid","k8s.pod.name":"pod-gb-b-us","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-us","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.node.cpu.usage","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","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":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","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":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","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":4.0,"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":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"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 @@
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

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

@@ -1,30 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy.jsonl

@@ -1,36 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy_expected.json

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

tests/integration/testdata/inframonitoring/pods_filter_dataset.jsonl

@@ -1,168 +0,0 @@
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_limit_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 524288000, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "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": 524288000, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

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

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

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

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

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

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

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

@@ -1,42 +0,0 @@
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-{"metric_name":"k8s.pod.phase","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":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","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":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_value_accuracy_expected.json

@@ -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/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, as seeded in pods_phases.jsonl.
-_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

@@ -1,760 +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"
-
-
-@pytest.mark.parametrize(
-    "dataset,node_name,filter_expr,expected_counts",
-    [
-        # Node hosts 3 running + 2 failed pods: phase buckets aggregate correctly.
-        pytest.param(
-            "nodes_pod_phases.jsonl",
-            "pp-n1",
-            None,
-            {"pending": 0, "running": 3, "succeeded": 0, "failed": 2, "unknown": 0},
-            id="mixed_phases",
-        ),
-        # Node with no pods: all-zero buckets, node still appears. Filter on the
-        # node to ignore the carrier phantom (see test_nodes_condition_latest_wins).
-        pytest.param(
-            "nodes_no_pods.jsonl",
-            "no-pod-n",
-            "k8s.node.name = 'no-pod-n'",
-            {"pending": 0, "running": 0, "succeeded": 0, "failed": 0, "unknown": 0},
-            id="no_pods",
-        ),
-    ],
-)
-def test_nodes_pod_phase_counts(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    dataset: str,
-    node_name: str,
-    filter_expr,
-    expected_counts: dict,
-) -> None:
-    """podCountsByPhase per node aggregates the pods scheduled on it (k8s.pod.phase
-    joined via k8s.node.name). A node with no pods reports all-zero buckets and
-    still appears in the result."""
-    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=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    body = {
-        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-        "end": int(now.timestamp() * 1000),
-        "limit": 50,
-    }
-    if filter_expr is not None:
-        body["filter"] = {"expression": filter_expr}
-    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, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["nodeName"] == node_name
-    assert rec["podCountsByPhase"] == expected_counts
-
-
-@pytest.mark.parametrize(
-    "group_key,expected",
-    [
-        # groupBy=[k8s.node.name]: one record per node, nodeName populated and
-        # condition derived per node (isNodeNameInGroupBy branch, nodes.go:69-76).
-        pytest.param(
-            "k8s.node.name",
-            {
-                "gb-a-us": {"condition": "ready", "readiness": {"ready": 1, "notReady": 0}, "running": 1},
-                "gb-a-eu": {"condition": "ready", "readiness": {"ready": 1, "notReady": 0}, "running": 1},
-                "gb-b-us": {"condition": "ready", "readiness": {"ready": 1, "notReady": 0}, "running": 1},
-                "gb-b-eu": {"condition": "ready", "readiness": {"ready": 1, "notReady": 0}, "running": 1},
-            },
-            id="node_name",
-        ),
-        # groupBy=[k8s.cluster.name]: aggregated across each cluster's 2 nodes,
-        # nodeName empty and condition stays no_data (custom-groupBy branch).
-        pytest.param(
-            "k8s.cluster.name",
-            {
-                "gb-cluster-a": {"condition": "no_data", "readiness": {"ready": 2, "notReady": 0}, "running": 2},
-                "gb-cluster-b": {"condition": "no_data", "readiness": {"ready": 2, "notReady": 0}, "running": 2},
-            },
-            id="cluster",
-        ),
-    ],
-)
-def test_nodes_groupby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    group_key: str,
-    expected: dict,
-) -> None:
-    """groupBy returns one record per distinct group with aggregated readiness
-    and pod-phase counts. nodeName is populated and condition is derived only
-    when grouping by k8s.node.name (nodes.go:69-76 list-vs-grouped branch)."""
-    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": 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)
-
-    group_of = lambda r: r["nodeName"] if group_key == "k8s.node.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.keys())
-
-    for group, exp in expected.items():
-        rec = by_group[group]
-        # nodeName populated per node when grouping by k8s.node.name, empty otherwise.
-        assert rec["nodeName"] == (group if group_key == "k8s.node.name" else "")
-        assert rec["condition"] == exp["condition"]
-        assert rec["nodeCountsByReadiness"] == exp["readiness"]
-        assert rec["podCountsByPhase"]["running"] == exp["running"]
-        assert group_key in rec["meta"], rec["meta"]
-
-
-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

@@ -1,568 +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,
-    }
-
-
-@pytest.mark.parametrize(
-    "group_key,expected_running",
-    [
-        # groupBy=[k8s.namespace.name]: one record per namespace, namespaceName
-        # populated (namespaces.go:27-30). Each namespace has 1 running pod.
-        pytest.param(
-            "k8s.namespace.name",
-            {"gb-ns-1": 1, "gb-ns-2": 1, "gb-ns-3": 1, "gb-ns-4": 1},
-            id="namespace_name",
-        ),
-        # groupBy=[k8s.cluster.name]: aggregated across each cluster's 2
-        # namespaces, namespaceName empty. Each cluster has 2 x 1 = 2 running pods.
-        pytest.param(
-            "k8s.cluster.name",
-            {"gb-cluster-a": 2, "gb-cluster-b": 2},
-            id="cluster",
-        ),
-    ],
-)
-def test_namespaces_groupby(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    group_key: str,
-    expected_running: dict,
-) -> None:
-    """groupBy returns one record per distinct group with aggregated pod-phase
-    counts. namespaceName is populated only when grouping by k8s.namespace.name
-    (namespaces.go:27-30 list-vs-grouped branch); meta surfaces the groupBy key."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/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": group_key,
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == len(expected_running)
-
-    group_of = lambda r: r["namespaceName"] if group_key == "k8s.namespace.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_running.keys())
-
-    for group, running in expected_running.items():
-        rec = by_group[group]
-        # namespaceName populated per namespace when grouping by k8s.namespace.name,
-        # empty otherwise.
-        assert rec["namespaceName"] == (group if group_key == "k8s.namespace.name" else "")
-        assert rec["podCountsByPhase"]["running"] == running
-        for other in ("pending", "succeeded", "failed", "unknown"):
-            assert rec["podCountsByPhase"][other] == 0
-        assert group_key in rec["meta"], rec["meta"]
-
-
-def test_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}"