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nv/6204
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feat/chart
| Author | SHA1 | Date | |
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4affdeda56 | ||
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99944cc1de | ||
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d1bd36e88a | ||
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d26d4ebd31 | ||
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771e5bd287 | ||
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bd33304912 | ||
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ca1cc0a4ac | ||
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0ed8169bad | ||
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ed553fb02e | ||
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47daba3c17 | ||
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2b3310809a | ||
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542a648cc3 |
@@ -2,39 +2,45 @@ module base
|
||||
|
||||
type organisation
|
||||
relations
|
||||
define read: [user, role#assignee]
|
||||
define update: [user, role#assignee]
|
||||
define read: [user, serviceaccount, role#assignee]
|
||||
define update: [user, serviceaccount, role#assignee]
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||||
|
||||
type user
|
||||
relations
|
||||
define read: [user, role#assignee]
|
||||
define update: [user, role#assignee]
|
||||
define delete: [user, role#assignee]
|
||||
define read: [user, serviceaccount, role#assignee]
|
||||
define update: [user, serviceaccount, role#assignee]
|
||||
define delete: [user, serviceaccount, role#assignee]
|
||||
|
||||
type serviceaccount
|
||||
relations
|
||||
define read: [user, serviceaccount, role#assignee]
|
||||
define update: [user, serviceaccount, role#assignee]
|
||||
define delete: [user, serviceaccount, role#assignee]
|
||||
|
||||
type anonymous
|
||||
|
||||
type role
|
||||
relations
|
||||
define assignee: [user, anonymous]
|
||||
define assignee: [user, serviceaccount, anonymous]
|
||||
|
||||
define read: [user, role#assignee]
|
||||
define update: [user, role#assignee]
|
||||
define delete: [user, role#assignee]
|
||||
define read: [user, serviceaccount, role#assignee]
|
||||
define update: [user, serviceaccount, role#assignee]
|
||||
define delete: [user, serviceaccount, role#assignee]
|
||||
|
||||
type metaresources
|
||||
relations
|
||||
define create: [user, role#assignee]
|
||||
define list: [user, role#assignee]
|
||||
define create: [user, serviceaccount, role#assignee]
|
||||
define list: [user, serviceaccount, role#assignee]
|
||||
|
||||
type metaresource
|
||||
relations
|
||||
define read: [user, anonymous, role#assignee]
|
||||
define update: [user, role#assignee]
|
||||
define delete: [user, role#assignee]
|
||||
define read: [user, serviceaccount, anonymous, role#assignee]
|
||||
define update: [user, serviceaccount, role#assignee]
|
||||
define delete: [user, serviceaccount, role#assignee]
|
||||
|
||||
define block: [user, role#assignee]
|
||||
define block: [user, serviceaccount, role#assignee]
|
||||
|
||||
|
||||
type telemetryresource
|
||||
relations
|
||||
define read: [user, role#assignee]
|
||||
define read: [user, serviceaccount, role#assignee]
|
||||
@@ -64,7 +64,7 @@
|
||||
"@signozhq/sonner": "0.1.0",
|
||||
"@signozhq/switch": "0.0.2",
|
||||
"@signozhq/table": "0.3.7",
|
||||
"@signozhq/toggle-group": "^0.0.1",
|
||||
"@signozhq/toggle-group": "0.0.1",
|
||||
"@signozhq/tooltip": "0.0.2",
|
||||
"@tanstack/react-table": "8.20.6",
|
||||
"@tanstack/react-virtual": "3.11.2",
|
||||
|
||||
@@ -128,6 +128,7 @@ function PrivateRoute({ children }: PrivateRouteProps): JSX.Element {
|
||||
isAdmin &&
|
||||
(path === ROUTES.SETTINGS ||
|
||||
path === ROUTES.ORG_SETTINGS ||
|
||||
path === ROUTES.MEMBERS_SETTINGS ||
|
||||
path === ROUTES.BILLING ||
|
||||
path === ROUTES.MY_SETTINGS);
|
||||
|
||||
|
||||
@@ -321,6 +321,19 @@ function App(): JSX.Element {
|
||||
// Session Replay
|
||||
replaysSessionSampleRate: 0.1, // This sets the sample rate at 10%. You may want to change it to 100% while in development and then sample at a lower rate in production.
|
||||
replaysOnErrorSampleRate: 1.0, // If you're not already sampling the entire session, change the sample rate to 100% when sampling sessions where errors occur.
|
||||
beforeSend(event) {
|
||||
const sessionReplayUrl = posthog.get_session_replay_url?.({
|
||||
withTimestamp: true,
|
||||
});
|
||||
if (sessionReplayUrl) {
|
||||
// eslint-disable-next-line no-param-reassign
|
||||
event.contexts = {
|
||||
...event.contexts,
|
||||
posthog: { session_replay_url: sessionReplayUrl },
|
||||
};
|
||||
}
|
||||
return event;
|
||||
},
|
||||
});
|
||||
|
||||
setIsSentryInitialized(true);
|
||||
|
||||
@@ -0,0 +1,67 @@
|
||||
.settings-section {
|
||||
border-top: 1px solid var(--bg-slate-500);
|
||||
}
|
||||
|
||||
.settings-section-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
width: 100%;
|
||||
padding: 12px 12px;
|
||||
min-height: 44px;
|
||||
background: transparent;
|
||||
border: none;
|
||||
outline: none;
|
||||
cursor: pointer;
|
||||
|
||||
.settings-section-title {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-weight: 400;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.chevron-icon {
|
||||
color: var(--bg-vanilla-400);
|
||||
transition: transform 0.2s ease-in-out;
|
||||
|
||||
&.open {
|
||||
transform: rotate(180deg);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.settings-section-content {
|
||||
padding: 0 12px 24px 12px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 20px;
|
||||
max-height: 0;
|
||||
overflow: hidden;
|
||||
opacity: 0;
|
||||
transition: max-height 0.25s ease, opacity 0.25s ease;
|
||||
|
||||
&.open {
|
||||
max-height: 1000px;
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
.settings-section-header {
|
||||
.chevron-icon {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
.settings-section-title {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
}
|
||||
|
||||
.settings-section {
|
||||
border-top: 1px solid var(--bg-vanilla-300);
|
||||
}
|
||||
}
|
||||
51
frontend/src/components/SettingsSection/SettingsSection.tsx
Normal file
51
frontend/src/components/SettingsSection/SettingsSection.tsx
Normal file
@@ -0,0 +1,51 @@
|
||||
import { ReactNode, useState } from 'react';
|
||||
import { ChevronDown } from 'lucide-react';
|
||||
|
||||
import './SettingsSection.styles.scss';
|
||||
|
||||
export interface SettingsSectionProps {
|
||||
title: string;
|
||||
defaultOpen?: boolean;
|
||||
children: ReactNode;
|
||||
icon?: ReactNode;
|
||||
}
|
||||
|
||||
function SettingsSection({
|
||||
title,
|
||||
defaultOpen = false,
|
||||
children,
|
||||
icon,
|
||||
}: SettingsSectionProps): JSX.Element {
|
||||
const [isOpen, setIsOpen] = useState(defaultOpen);
|
||||
|
||||
const toggleOpen = (): void => {
|
||||
setIsOpen((prev) => !prev);
|
||||
};
|
||||
|
||||
return (
|
||||
<section className="settings-section">
|
||||
<button
|
||||
type="button"
|
||||
className="settings-section-header"
|
||||
onClick={toggleOpen}
|
||||
>
|
||||
<span className="settings-section-title">
|
||||
{icon ? icon : null} {title}
|
||||
</span>
|
||||
<ChevronDown
|
||||
size={16}
|
||||
className={isOpen ? 'chevron-icon open' : 'chevron-icon'}
|
||||
/>
|
||||
</button>
|
||||
<div
|
||||
className={
|
||||
isOpen ? 'settings-section-content open' : 'settings-section-content'
|
||||
}
|
||||
>
|
||||
{children}
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
|
||||
export default SettingsSection;
|
||||
@@ -30,14 +30,15 @@ export default function CustomDomainEditModal({
|
||||
onClearError,
|
||||
onSubmit,
|
||||
}: CustomDomainEditModalProps): JSX.Element {
|
||||
const [value, setValue] = useState(customDomainSubdomain ?? '');
|
||||
const initialSubdomain = customDomainSubdomain ?? '';
|
||||
const [value, setValue] = useState(initialSubdomain);
|
||||
const [validationError, setValidationError] = useState<string | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
if (isOpen) {
|
||||
setValue(customDomainSubdomain ?? '');
|
||||
setValue(initialSubdomain);
|
||||
}
|
||||
}, [isOpen, customDomainSubdomain]);
|
||||
}, [isOpen, initialSubdomain]);
|
||||
|
||||
const handleClose = (): void => {
|
||||
setValidationError(null);
|
||||
@@ -58,6 +59,11 @@ export default function CustomDomainEditModal({
|
||||
};
|
||||
|
||||
const handleSubmit = (): void => {
|
||||
if (value === initialSubdomain) {
|
||||
setValidationError('Input is unchanged');
|
||||
return;
|
||||
}
|
||||
|
||||
if (!value) {
|
||||
setValidationError('This field is required');
|
||||
return;
|
||||
@@ -84,7 +90,7 @@ export default function CustomDomainEditModal({
|
||||
|
||||
const hasError = Boolean(errorMessage);
|
||||
|
||||
const statusIcon = ((): JSX.Element => {
|
||||
const statusIcon = ((): JSX.Element | null => {
|
||||
if (isLoading) {
|
||||
return (
|
||||
<LoaderCircle size={16} className="animate-spin edit-modal-status-icon" />
|
||||
@@ -95,7 +101,9 @@ export default function CustomDomainEditModal({
|
||||
return <CircleAlert size={16} color={Color.BG_CHERRY_500} />;
|
||||
}
|
||||
|
||||
return <CircleCheck size={16} color={Color.BG_FOREST_500} />;
|
||||
return value && value.length >= 3 ? (
|
||||
<CircleCheck size={16} color={Color.BG_FOREST_500} />
|
||||
) : null;
|
||||
})();
|
||||
|
||||
return (
|
||||
@@ -189,7 +197,7 @@ export default function CustomDomainEditModal({
|
||||
color="primary"
|
||||
className="edit-modal-apply-btn"
|
||||
onClick={handleSubmit}
|
||||
disabled={isLoading}
|
||||
disabled={isLoading || value === initialSubdomain}
|
||||
loading={isLoading}
|
||||
>
|
||||
Apply Changes
|
||||
|
||||
@@ -81,6 +81,10 @@
|
||||
padding-left: 26px;
|
||||
}
|
||||
|
||||
.custom-domain-card-meta-row.workspace-name-hidden {
|
||||
padding-left: 0;
|
||||
}
|
||||
|
||||
.custom-domain-card-meta-timezone {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
@@ -117,32 +121,6 @@
|
||||
background: var(--l2-border);
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.custom-domain-card-bottom {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--spacing-5);
|
||||
padding: var(--padding-3);
|
||||
}
|
||||
|
||||
.custom-domain-card-license {
|
||||
color: var(--l1-foreground);
|
||||
font-size: var(--paragraph-base-400-font-size);
|
||||
line-height: var(--line-height-20);
|
||||
letter-spacing: -0.07px;
|
||||
}
|
||||
|
||||
.custom-domain-plan-badge {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding: 0 2px;
|
||||
border-radius: 2px;
|
||||
background: var(--l2-background);
|
||||
color: var(--l2-foreground);
|
||||
font-family: 'SF Mono', 'Fira Code', monospace;
|
||||
font-size: var(--paragraph-base-400-font-size);
|
||||
line-height: var(--line-height-20);
|
||||
}
|
||||
}
|
||||
|
||||
.workspace-url-trigger {
|
||||
|
||||
@@ -69,8 +69,9 @@ function DomainUpdateToast({
|
||||
}
|
||||
|
||||
export default function CustomDomainSettings(): JSX.Element {
|
||||
const { org, activeLicense } = useAppContext();
|
||||
const { org } = useAppContext();
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
const [isEditModalOpen, setIsEditModalOpen] = useState(false);
|
||||
const [isPollingEnabled, setIsPollingEnabled] = useState(false);
|
||||
const [hosts, setHosts] = useState<ZeustypesHostDTO[] | null>(null);
|
||||
@@ -175,7 +176,8 @@ export default function CustomDomainSettings(): JSX.Element {
|
||||
[hosts, activeHost],
|
||||
);
|
||||
|
||||
const planName = activeLicense?.plan?.name;
|
||||
const workspaceName =
|
||||
org?.[0]?.displayName || customDomainSubdomain || activeHost?.name;
|
||||
|
||||
if (isLoadingHosts) {
|
||||
return (
|
||||
@@ -191,106 +193,98 @@ export default function CustomDomainSettings(): JSX.Element {
|
||||
|
||||
return (
|
||||
<>
|
||||
<div className="custom-domain-card">
|
||||
<div className="custom-domain-card-top">
|
||||
<div className="custom-domain-card-info">
|
||||
<div className="custom-domain-card-top">
|
||||
<div className="custom-domain-card-info">
|
||||
{!!workspaceName && (
|
||||
<div className="custom-domain-card-name-row">
|
||||
<span className="beacon" />
|
||||
<span className="custom-domain-card-org-name">
|
||||
{org?.[0]?.displayName ? org?.[0]?.displayName : customDomainSubdomain}
|
||||
</span>
|
||||
<span className="custom-domain-card-org-name">{workspaceName}</span>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="custom-domain-card-meta-row">
|
||||
<Dropdown
|
||||
trigger={['click']}
|
||||
dropdownRender={(): JSX.Element => (
|
||||
<div className="workspace-url-dropdown">
|
||||
<span className="workspace-url-dropdown-header">
|
||||
All Workspace URLs
|
||||
</span>
|
||||
<div className="workspace-url-dropdown-divider" />
|
||||
{sortedHosts.map((host) => {
|
||||
const isActive = host.name === activeHost?.name;
|
||||
return (
|
||||
<a
|
||||
key={host.name}
|
||||
href={host.url}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className={`workspace-url-dropdown-item${
|
||||
isActive ? ' workspace-url-dropdown-item--active' : ''
|
||||
}`}
|
||||
>
|
||||
<span className="workspace-url-dropdown-item-label">
|
||||
{stripProtocol(host.url ?? '')}
|
||||
</span>
|
||||
{isActive ? (
|
||||
<Check size={14} className="workspace-url-dropdown-item-check" />
|
||||
) : (
|
||||
<ExternalLink
|
||||
size={12}
|
||||
className="workspace-url-dropdown-item-external"
|
||||
/>
|
||||
)}
|
||||
</a>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
size="xs"
|
||||
className="workspace-url-trigger"
|
||||
disabled={isFetchingHosts}
|
||||
>
|
||||
<Link2 size={12} />
|
||||
<span>{stripProtocol(activeHost?.url ?? '')}</span>
|
||||
<ChevronDown size={12} />
|
||||
</Button>
|
||||
</Dropdown>
|
||||
<span className="custom-domain-card-meta-timezone">
|
||||
<Clock size={11} />
|
||||
{timezone.offset}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<Button
|
||||
variant="solid"
|
||||
size="sm"
|
||||
className="custom-domain-edit-button"
|
||||
prefixIcon={<FilePenLine size={12} />}
|
||||
disabled={isFetchingHosts || isPollingEnabled}
|
||||
onClick={(): void => setIsEditModalOpen(true)}
|
||||
<div
|
||||
className={`custom-domain-card-meta-row ${
|
||||
!workspaceName ? 'workspace-name-hidden' : ''
|
||||
}`}
|
||||
>
|
||||
Edit workspace link
|
||||
</Button>
|
||||
<Dropdown
|
||||
trigger={['click']}
|
||||
dropdownRender={(): JSX.Element => (
|
||||
<div className="workspace-url-dropdown">
|
||||
<span className="workspace-url-dropdown-header">
|
||||
All Workspace URLs
|
||||
</span>
|
||||
<div className="workspace-url-dropdown-divider" />
|
||||
{sortedHosts.map((host) => {
|
||||
const isActive = host.name === activeHost?.name;
|
||||
return (
|
||||
<a
|
||||
key={host.name}
|
||||
href={host.url}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className={`workspace-url-dropdown-item${
|
||||
isActive ? ' workspace-url-dropdown-item--active' : ''
|
||||
}`}
|
||||
>
|
||||
<span className="workspace-url-dropdown-item-label">
|
||||
{stripProtocol(host.url ?? '')}
|
||||
</span>
|
||||
{isActive ? (
|
||||
<Check size={14} className="workspace-url-dropdown-item-check" />
|
||||
) : (
|
||||
<ExternalLink
|
||||
size={12}
|
||||
className="workspace-url-dropdown-item-external"
|
||||
/>
|
||||
)}
|
||||
</a>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
size="xs"
|
||||
className="workspace-url-trigger"
|
||||
disabled={isFetchingHosts}
|
||||
>
|
||||
<Link2 size={12} />
|
||||
<span>{stripProtocol(activeHost?.url ?? '')}</span>
|
||||
<ChevronDown size={12} />
|
||||
</Button>
|
||||
</Dropdown>
|
||||
<span className="custom-domain-card-meta-timezone">
|
||||
<Clock size={11} />
|
||||
{timezone.offset}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{isPollingEnabled && (
|
||||
<Callout
|
||||
type="info"
|
||||
showIcon
|
||||
className="custom-domain-callout"
|
||||
size="small"
|
||||
icon={<SolidAlertCircle size={13} color="primary" />}
|
||||
message={`Updating your URL to ⎯ ${customDomainSubdomain}.${dnsSuffix}. This may take a few mins.`}
|
||||
/>
|
||||
)}
|
||||
|
||||
<div className="custom-domain-card-divider" />
|
||||
|
||||
<div className="custom-domain-card-bottom">
|
||||
<span className="beacon" />
|
||||
<span className="custom-domain-card-license">
|
||||
{planName && <code className="custom-domain-plan-badge">{planName}</code>}{' '}
|
||||
license is currently active
|
||||
</span>
|
||||
</div>
|
||||
<Button
|
||||
variant="solid"
|
||||
size="sm"
|
||||
className="custom-domain-edit-button"
|
||||
prefixIcon={<FilePenLine size={12} />}
|
||||
disabled={isFetchingHosts || isPollingEnabled}
|
||||
onClick={(): void => setIsEditModalOpen(true)}
|
||||
>
|
||||
Edit workspace link
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
{isPollingEnabled && (
|
||||
<Callout
|
||||
type="info"
|
||||
showIcon
|
||||
className="custom-domain-callout"
|
||||
size="small"
|
||||
icon={<SolidAlertCircle size={13} color="primary" />}
|
||||
message={`Updating your URL to ⎯ ${customDomainSubdomain}.${dnsSuffix}. This may take a few mins.`}
|
||||
/>
|
||||
)}
|
||||
|
||||
<CustomDomainEditModal
|
||||
isOpen={isEditModalOpen}
|
||||
onClose={(): void => setIsEditModalOpen(false)}
|
||||
|
||||
@@ -239,4 +239,87 @@ describe('CustomDomainSettings', () => {
|
||||
const { container } = render(toastRenderer('test-id'));
|
||||
expect(container).toHaveTextContent(/myteam\.test\.cloud/i);
|
||||
});
|
||||
|
||||
describe('Workspace Name rendering', () => {
|
||||
it('renders org displayName when available from appContext', async () => {
|
||||
server.use(
|
||||
rest.get(ZEUS_HOSTS_ENDPOINT, (_, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(mockHostsResponse)),
|
||||
),
|
||||
);
|
||||
|
||||
render(<CustomDomainSettings />, undefined, {
|
||||
appContextOverrides: {
|
||||
org: [{ id: 'xyz', displayName: 'My Org Name', createdAt: 0 }],
|
||||
},
|
||||
});
|
||||
|
||||
expect(await screen.findByText('My Org Name')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('falls back to customDomainSubdomain when org displayName is missing', async () => {
|
||||
server.use(
|
||||
rest.get(ZEUS_HOSTS_ENDPOINT, (_, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(mockHostsResponse)),
|
||||
),
|
||||
);
|
||||
|
||||
render(<CustomDomainSettings />, undefined, {
|
||||
appContextOverrides: { org: [] },
|
||||
});
|
||||
|
||||
expect(await screen.findByText('custom-host')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('falls back to activeHost.name when neither org name nor custom domain exists', async () => {
|
||||
const onlyDefaultHostResponse = {
|
||||
...mockHostsResponse,
|
||||
data: {
|
||||
...mockHostsResponse.data,
|
||||
hosts: mockHostsResponse.data.hosts
|
||||
? [mockHostsResponse.data.hosts[0]]
|
||||
: [],
|
||||
},
|
||||
};
|
||||
|
||||
server.use(
|
||||
rest.get(ZEUS_HOSTS_ENDPOINT, (_, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(onlyDefaultHostResponse)),
|
||||
),
|
||||
);
|
||||
|
||||
render(<CustomDomainSettings />, undefined, {
|
||||
appContextOverrides: { org: [] },
|
||||
});
|
||||
|
||||
// 'accepted-starfish' is the default host's name
|
||||
expect(await screen.findByText('accepted-starfish')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('does not render the card name row if workspaceName is totally falsy', async () => {
|
||||
const emptyHostsResponse = {
|
||||
...mockHostsResponse,
|
||||
data: {
|
||||
...mockHostsResponse.data,
|
||||
hosts: [],
|
||||
},
|
||||
};
|
||||
|
||||
server.use(
|
||||
rest.get(ZEUS_HOSTS_ENDPOINT, (_, res, ctx) =>
|
||||
res(ctx.status(200), ctx.json(emptyHostsResponse)),
|
||||
),
|
||||
);
|
||||
|
||||
const { container } = render(<CustomDomainSettings />, undefined, {
|
||||
appContextOverrides: { org: [] },
|
||||
});
|
||||
|
||||
await screen.findByRole('button', { name: /edit workspace link/i });
|
||||
|
||||
expect(
|
||||
container.querySelector('.custom-domain-card-name-row'),
|
||||
).not.toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -199,8 +199,6 @@ describe('Dashboard landing page actions header tests', () => {
|
||||
setLayouts: jest.fn(),
|
||||
setSelectedDashboard: jest.fn(),
|
||||
updatedTimeRef: { current: null },
|
||||
toScrollWidgetId: '',
|
||||
setToScrollWidgetId: jest.fn(),
|
||||
updateLocalStorageDashboardVariables: jest.fn(),
|
||||
dashboardQueryRangeCalled: false,
|
||||
setDashboardQueryRangeCalled: jest.fn(),
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { renderHook } from '@testing-library/react';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { useScrollToWidgetIdStore } from 'providers/Dashboard/helpers/scrollToWidgetIdHelper';
|
||||
|
||||
import { useScrollWidgetIntoView } from '../useScrollWidgetIntoView';
|
||||
|
||||
jest.mock('providers/Dashboard/Dashboard');
|
||||
jest.mock('providers/Dashboard/helpers/scrollToWidgetIdHelper');
|
||||
|
||||
type MockHTMLElement = {
|
||||
scrollIntoView: jest.Mock;
|
||||
@@ -18,25 +18,35 @@ function createMockElement(): MockHTMLElement {
|
||||
}
|
||||
|
||||
describe('useScrollWidgetIntoView', () => {
|
||||
const mockedUseDashboard = useDashboard as jest.MockedFunction<
|
||||
typeof useDashboard
|
||||
const mockedUseScrollToWidgetIdStore = useScrollToWidgetIdStore as jest.MockedFunction<
|
||||
typeof useScrollToWidgetIdStore
|
||||
>;
|
||||
|
||||
let mockElement: MockHTMLElement;
|
||||
let ref: React.RefObject<HTMLDivElement>;
|
||||
let setToScrollWidgetId: jest.Mock;
|
||||
|
||||
function mockStore(toScrollWidgetId: string): void {
|
||||
const storeState = { toScrollWidgetId, setToScrollWidgetId };
|
||||
mockedUseScrollToWidgetIdStore.mockImplementation(
|
||||
(selector) =>
|
||||
selector(
|
||||
(storeState as unknown) as Parameters<typeof selector>[0],
|
||||
) as ReturnType<typeof useScrollToWidgetIdStore>,
|
||||
);
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
jest.clearAllMocks();
|
||||
mockElement = createMockElement();
|
||||
ref = ({
|
||||
current: mockElement,
|
||||
} as unknown) as React.RefObject<HTMLDivElement>;
|
||||
setToScrollWidgetId = jest.fn();
|
||||
});
|
||||
|
||||
it('scrolls into view and focuses when toScrollWidgetId matches widget id', () => {
|
||||
const setToScrollWidgetId = jest.fn();
|
||||
const mockElement = createMockElement();
|
||||
const ref = ({
|
||||
current: mockElement,
|
||||
} as unknown) as React.RefObject<HTMLDivElement>;
|
||||
|
||||
mockedUseDashboard.mockReturnValue(({
|
||||
toScrollWidgetId: 'widget-id',
|
||||
setToScrollWidgetId,
|
||||
} as unknown) as ReturnType<typeof useDashboard>);
|
||||
mockStore('widget-id');
|
||||
|
||||
renderHook(() => useScrollWidgetIntoView('widget-id', ref));
|
||||
|
||||
@@ -49,16 +59,7 @@ describe('useScrollWidgetIntoView', () => {
|
||||
});
|
||||
|
||||
it('does nothing when toScrollWidgetId does not match widget id', () => {
|
||||
const setToScrollWidgetId = jest.fn();
|
||||
const mockElement = createMockElement();
|
||||
const ref = ({
|
||||
current: mockElement,
|
||||
} as unknown) as React.RefObject<HTMLDivElement>;
|
||||
|
||||
mockedUseDashboard.mockReturnValue(({
|
||||
toScrollWidgetId: 'other-widget',
|
||||
setToScrollWidgetId,
|
||||
} as unknown) as ReturnType<typeof useDashboard>);
|
||||
mockStore('other-widget');
|
||||
|
||||
renderHook(() => useScrollWidgetIntoView('widget-id', ref));
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { RefObject, useEffect } from 'react';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { useScrollToWidgetIdStore } from 'providers/Dashboard/helpers/scrollToWidgetIdHelper';
|
||||
|
||||
/**
|
||||
* Scrolls the given widget container into view when the dashboard
|
||||
@@ -11,7 +11,10 @@ export function useScrollWidgetIntoView<T extends HTMLElement>(
|
||||
widgetId: string,
|
||||
widgetContainerRef: RefObject<T>,
|
||||
): void {
|
||||
const { toScrollWidgetId, setToScrollWidgetId } = useDashboard();
|
||||
const toScrollWidgetId = useScrollToWidgetIdStore((s) => s.toScrollWidgetId);
|
||||
const setToScrollWidgetId = useScrollToWidgetIdStore(
|
||||
(s) => s.setToScrollWidgetId,
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
if (toScrollWidgetId === widgetId) {
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { useScrollWidgetIntoView } from 'container/DashboardContainer/visualization/hooks/useScrollWidgetIntoView';
|
||||
import { PanelWrapperProps } from 'container/PanelWrapper/panelWrapper.types';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
@@ -34,8 +33,6 @@ function BarPanel(props: PanelWrapperProps): JSX.Element {
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
useScrollWidgetIntoView(widget.id, graphRef);
|
||||
|
||||
useEffect((): void => {
|
||||
const { startTime, endTime } = getTimeRange(queryResponse);
|
||||
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { useMemo, useRef } from 'react';
|
||||
import { useScrollWidgetIntoView } from 'container/DashboardContainer/visualization/hooks/useScrollWidgetIntoView';
|
||||
import { PanelWrapperProps } from 'container/PanelWrapper/panelWrapper.types';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
@@ -32,8 +31,6 @@ function HistogramPanel(props: PanelWrapperProps): JSX.Element {
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
useScrollWidgetIntoView(widget.id, graphRef);
|
||||
|
||||
const config = useMemo(() => {
|
||||
return prepareHistogramPanelConfig({
|
||||
widget,
|
||||
|
||||
@@ -2,7 +2,6 @@ import { useEffect, useMemo, useRef, useState } from 'react';
|
||||
import TimeSeries from 'container/DashboardContainer/visualization/charts/TimeSeries/TimeSeries';
|
||||
import ChartManager from 'container/DashboardContainer/visualization/components/ChartManager/ChartManager';
|
||||
import { usePanelContextMenu } from 'container/DashboardContainer/visualization/hooks/usePanelContextMenu';
|
||||
import { useScrollWidgetIntoView } from 'container/DashboardContainer/visualization/hooks/useScrollWidgetIntoView';
|
||||
import { PanelWrapperProps } from 'container/PanelWrapper/panelWrapper.types';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
@@ -33,8 +32,6 @@ function TimeSeriesPanel(props: PanelWrapperProps): JSX.Element {
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
useScrollWidgetIntoView(widget.id, graphRef);
|
||||
|
||||
useEffect((): void => {
|
||||
const { startTime, endTime } = getTimeRange(queryResponse);
|
||||
|
||||
|
||||
@@ -224,7 +224,7 @@ describe('TimeSeriesPanel utils', () => {
|
||||
});
|
||||
});
|
||||
|
||||
it('uses DrawStyle.Line and VisibilityMode.Never when series has multiple valid points', () => {
|
||||
it('uses DrawStyle.Line and showPoints false when series has multiple valid points', () => {
|
||||
const apiResponse = createApiResponse([
|
||||
{
|
||||
metric: {},
|
||||
|
||||
@@ -10,9 +10,9 @@ import getLabelName from 'lib/getLabelName';
|
||||
import { OnClickPluginOpts } from 'lib/uPlotLib/plugins/onClickPlugin';
|
||||
import {
|
||||
DrawStyle,
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
VisibilityMode,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
|
||||
import { isInvalidPlotValue } from 'lib/uPlotV2/utils/dataUtils';
|
||||
@@ -124,12 +124,12 @@ export const prepareUPlotConfig = ({
|
||||
label: label,
|
||||
colorMapping: widget.customLegendColors ?? {},
|
||||
spanGaps: true,
|
||||
lineStyle: LineStyle.Solid,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
showPoints: hasSingleValidPoint
|
||||
? VisibilityMode.Always
|
||||
: VisibilityMode.Never,
|
||||
lineStyle: widget.lineStyle || LineStyle.Solid,
|
||||
lineInterpolation: widget.lineInterpolation || LineInterpolation.Spline,
|
||||
showPoints:
|
||||
widget.showPoints || hasSingleValidPoint ? true : !!widget.showPoints,
|
||||
pointSize: 5,
|
||||
fillMode: widget.fillMode || FillMode.None,
|
||||
isDarkMode,
|
||||
});
|
||||
});
|
||||
|
||||
@@ -10,6 +10,7 @@ import setRetentionApi from 'api/settings/setRetention';
|
||||
import setRetentionApiV2 from 'api/settings/setRetentionV2';
|
||||
import TextToolTip from 'components/TextToolTip';
|
||||
import CustomDomainSettings from 'container/CustomDomainSettings';
|
||||
import LicenseKeyRow from 'container/GeneralSettings/LicenseKeyRow/LicenseKeyRow';
|
||||
import GeneralSettingsCloud from 'container/GeneralSettingsCloud';
|
||||
import useComponentPermission from 'hooks/useComponentPermission';
|
||||
import { useGetTenantLicense } from 'hooks/useGetTenantLicense';
|
||||
@@ -81,7 +82,7 @@ function GeneralSettings({
|
||||
logsTtlValuesPayload,
|
||||
);
|
||||
|
||||
const { user } = useAppContext();
|
||||
const { user, activeLicense } = useAppContext();
|
||||
|
||||
const [setRetentionPermission] = useComponentPermission(
|
||||
['set_retention_period'],
|
||||
@@ -680,7 +681,15 @@ function GeneralSettings({
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{showCustomDomainSettings && <CustomDomainSettings />}
|
||||
{(showCustomDomainSettings || activeLicense?.key) && (
|
||||
<div className="custom-domain-card">
|
||||
{showCustomDomainSettings && <CustomDomainSettings />}
|
||||
{showCustomDomainSettings && activeLicense?.key && (
|
||||
<div className="custom-domain-card-divider" />
|
||||
)}
|
||||
{activeLicense?.key && <LicenseKeyRow />}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="retention-controls-container">
|
||||
<div className="retention-controls-header">
|
||||
|
||||
@@ -0,0 +1,65 @@
|
||||
.license-key-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
padding: var(--padding-2) var(--padding-3);
|
||||
gap: var(--spacing-5);
|
||||
|
||||
&__left {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 12px;
|
||||
color: var(--l2-foreground);
|
||||
|
||||
svg {
|
||||
flex-shrink: 0;
|
||||
}
|
||||
}
|
||||
|
||||
&__label {
|
||||
color: var(--l2-foreground);
|
||||
font-size: var(--paragraph-base-400-font-size);
|
||||
line-height: var(--line-height-20);
|
||||
letter-spacing: -0.07px;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
&__value {
|
||||
display: inline-flex;
|
||||
align-items: stretch;
|
||||
}
|
||||
|
||||
&__code {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding: 1px 2px;
|
||||
border-radius: 2px 0 0 2px;
|
||||
background: var(--l3-background);
|
||||
border: 1px solid var(--l2-border);
|
||||
color: var(--l2-foreground);
|
||||
font-family: 'SF Mono', 'Fira Code', 'Fira Mono', monospace;
|
||||
font-size: var(--paragraph-base-400-font-size);
|
||||
line-height: var(--line-height-20);
|
||||
white-space: nowrap;
|
||||
margin-right: -1px;
|
||||
}
|
||||
|
||||
&__copy-btn {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: 26px;
|
||||
padding: 1px 2px;
|
||||
border-radius: 0 2px 2px 0;
|
||||
background: var(--l3-background);
|
||||
border: 1px solid var(--l2-border);
|
||||
color: var(--l2-foreground);
|
||||
cursor: pointer;
|
||||
flex-shrink: 0;
|
||||
height: 24px;
|
||||
|
||||
&:hover {
|
||||
background: var(--l3-background-hover);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
import { useCopyToClipboard } from 'react-use';
|
||||
import { Button } from '@signozhq/button';
|
||||
import { Copy, KeyRound } from '@signozhq/icons';
|
||||
import { toast } from '@signozhq/sonner';
|
||||
import { useAppContext } from 'providers/App/App';
|
||||
import { getMaskedKey } from 'utils/maskedKey';
|
||||
|
||||
import './LicenseKeyRow.styles.scss';
|
||||
|
||||
function LicenseKeyRow(): JSX.Element | null {
|
||||
const { activeLicense } = useAppContext();
|
||||
const [, copyToClipboard] = useCopyToClipboard();
|
||||
|
||||
if (!activeLicense?.key) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const handleCopyLicenseKey = (text: string): void => {
|
||||
copyToClipboard(text);
|
||||
toast.success('License key copied to clipboard.', { richColors: true });
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="license-key-row">
|
||||
<span className="license-key-row__left">
|
||||
<KeyRound size={14} />
|
||||
<span className="license-key-row__label">SigNoz License Key</span>
|
||||
</span>
|
||||
<span className="license-key-row__value">
|
||||
<code className="license-key-row__code">
|
||||
{getMaskedKey(activeLicense.key)}
|
||||
</code>
|
||||
<Button
|
||||
type="button"
|
||||
size="xs"
|
||||
aria-label="Copy license key"
|
||||
data-testid="license-key-row-copy-btn"
|
||||
className="license-key-row__copy-btn"
|
||||
onClick={(): void => handleCopyLicenseKey(activeLicense.key)}
|
||||
>
|
||||
<Copy size={12} />
|
||||
</Button>
|
||||
</span>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default LicenseKeyRow;
|
||||
@@ -0,0 +1,61 @@
|
||||
import { render, screen, userEvent, waitFor } from 'tests/test-utils';
|
||||
|
||||
import LicenseKeyRow from '../LicenseKeyRow';
|
||||
|
||||
const mockCopyToClipboard = jest.fn();
|
||||
|
||||
jest.mock('react-use', () => ({
|
||||
__esModule: true,
|
||||
useCopyToClipboard: (): [unknown, jest.Mock] => [null, mockCopyToClipboard],
|
||||
}));
|
||||
|
||||
const mockToastSuccess = jest.fn();
|
||||
|
||||
jest.mock('@signozhq/sonner', () => ({
|
||||
toast: {
|
||||
success: (...args: unknown[]): unknown => mockToastSuccess(...args),
|
||||
},
|
||||
}));
|
||||
|
||||
describe('LicenseKeyRow', () => {
|
||||
afterEach(() => {
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
it('renders nothing when activeLicense key is absent', () => {
|
||||
const { container } = render(<LicenseKeyRow />, undefined, {
|
||||
appContextOverrides: { activeLicense: null },
|
||||
});
|
||||
|
||||
expect(container).toBeEmptyDOMElement();
|
||||
});
|
||||
|
||||
it('renders label and masked key when activeLicense key exists', () => {
|
||||
render(<LicenseKeyRow />, undefined, {
|
||||
appContextOverrides: {
|
||||
activeLicense: { key: 'abcdefghij' } as any,
|
||||
},
|
||||
});
|
||||
|
||||
expect(screen.getByText('SigNoz License Key')).toBeInTheDocument();
|
||||
expect(screen.getByText('ab·······ij')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('calls copyToClipboard and shows success toast when clipboard is available', async () => {
|
||||
const user = userEvent.setup({ pointerEventsCheck: 0 });
|
||||
|
||||
render(<LicenseKeyRow />);
|
||||
|
||||
await user.click(screen.getByRole('button', { name: /copy license key/i }));
|
||||
|
||||
await waitFor(() => {
|
||||
expect(mockCopyToClipboard).toHaveBeenCalledWith('test-key');
|
||||
expect(mockToastSuccess).toHaveBeenCalledWith(
|
||||
'License key copied to clipboard.',
|
||||
{
|
||||
richColors: true,
|
||||
},
|
||||
);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -5,6 +5,7 @@ import logEvent from 'api/common/logEvent';
|
||||
import { DEFAULT_ENTITY_VERSION, ENTITY_VERSION_V5 } from 'constants/app';
|
||||
import { QueryParams } from 'constants/query';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { useScrollWidgetIntoView } from 'container/DashboardContainer/visualization/hooks/useScrollWidgetIntoView';
|
||||
import { populateMultipleResults } from 'container/NewWidget/LeftContainer/WidgetGraph/util';
|
||||
import { CustomTimeType } from 'container/TopNav/DateTimeSelectionV2/types';
|
||||
import { useIsPanelWaitingOnVariable } from 'hooks/dashboard/useVariableFetchState';
|
||||
@@ -67,11 +68,7 @@ function GridCardGraph({
|
||||
const [isInternalServerError, setIsInternalServerError] = useState<boolean>(
|
||||
false,
|
||||
);
|
||||
const {
|
||||
toScrollWidgetId,
|
||||
setToScrollWidgetId,
|
||||
setDashboardQueryRangeCalled,
|
||||
} = useDashboard();
|
||||
const { setDashboardQueryRangeCalled } = useDashboard();
|
||||
|
||||
const {
|
||||
minTime,
|
||||
@@ -109,20 +106,11 @@ function GridCardGraph({
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, []);
|
||||
|
||||
const graphRef = useRef<HTMLDivElement>(null);
|
||||
const widgetContainerRef = useRef<HTMLDivElement>(null);
|
||||
|
||||
const isVisible = useIntersectionObserver(graphRef, undefined, true);
|
||||
const isVisible = useIntersectionObserver(widgetContainerRef, undefined, true);
|
||||
|
||||
useEffect(() => {
|
||||
if (toScrollWidgetId === widget.id) {
|
||||
graphRef.current?.scrollIntoView({
|
||||
behavior: 'smooth',
|
||||
block: 'center',
|
||||
});
|
||||
graphRef.current?.focus();
|
||||
setToScrollWidgetId('');
|
||||
}
|
||||
}, [toScrollWidgetId, setToScrollWidgetId, widget.id]);
|
||||
useScrollWidgetIntoView(widget?.id || '', widgetContainerRef);
|
||||
|
||||
const updatedQuery = widget?.query;
|
||||
|
||||
@@ -306,7 +294,7 @@ function GridCardGraph({
|
||||
: headerMenuList;
|
||||
|
||||
return (
|
||||
<div style={{ height: '100%', width: '100%' }} ref={graphRef}>
|
||||
<div style={{ height: '100%', width: '100%' }} ref={widgetContainerRef}>
|
||||
{isEmptyLayout ? (
|
||||
<EmptyWidget />
|
||||
) : (
|
||||
|
||||
@@ -4,6 +4,7 @@ import { Typography } from 'antd';
|
||||
import { useNotifications } from 'hooks/useNotifications';
|
||||
import { Copy } from 'lucide-react';
|
||||
import { useAppContext } from 'providers/App/App';
|
||||
import { getMaskedKey } from 'utils/maskedKey';
|
||||
|
||||
import './LicenseSection.styles.scss';
|
||||
|
||||
@@ -12,15 +13,6 @@ function LicenseSection(): JSX.Element | null {
|
||||
const { notifications } = useNotifications();
|
||||
const [, handleCopyToClipboard] = useCopyToClipboard();
|
||||
|
||||
const getMaskedKey = (key: string): string => {
|
||||
if (!key || key.length < 4) {
|
||||
return key || 'N/A';
|
||||
}
|
||||
return `${key.substring(0, 2)}********${key
|
||||
.substring(key.length - 2)
|
||||
.trim()}`;
|
||||
};
|
||||
|
||||
const handleCopyKey = (text: string): void => {
|
||||
handleCopyToClipboard(text);
|
||||
notifications.success({
|
||||
|
||||
@@ -271,7 +271,7 @@ describe('MySettings Flows', () => {
|
||||
},
|
||||
});
|
||||
|
||||
expect(within(container).getByText('ab********cd')).toBeInTheDocument();
|
||||
expect(within(container).getByText('ab·······cd')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('Should not mask license key if it is too short', () => {
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
.column-unit-selector {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
|
||||
.heading {
|
||||
color: var(--bg-vanilla-400);
|
||||
@@ -30,6 +32,11 @@
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
&-content {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 12px;
|
||||
}
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
|
||||
@@ -72,22 +72,24 @@ export function ColumnUnitSelector(
|
||||
return (
|
||||
<section className="column-unit-selector">
|
||||
<Typography.Text className="heading">Column Units</Typography.Text>
|
||||
{aggregationQueries.map(({ value, label }) => {
|
||||
const baseQueryName = value.split('.')[0];
|
||||
return (
|
||||
<YAxisUnitSelectorV2
|
||||
value={columnUnits[value] || ''}
|
||||
onSelect={(unitValue: string): void =>
|
||||
handleColumnUnitSelect(value, unitValue)
|
||||
}
|
||||
fieldLabel={label}
|
||||
key={value}
|
||||
selectedQueryName={baseQueryName}
|
||||
// Update the column unit value automatically only in create mode
|
||||
shouldUpdateYAxisUnit={isNewDashboard}
|
||||
/>
|
||||
);
|
||||
})}
|
||||
<div className="column-unit-selector-content">
|
||||
{aggregationQueries.map(({ value, label }) => {
|
||||
const baseQueryName = value.split('.')[0];
|
||||
return (
|
||||
<YAxisUnitSelectorV2
|
||||
value={columnUnits[value] || ''}
|
||||
onSelect={(unitValue: string): void =>
|
||||
handleColumnUnitSelect(value, unitValue)
|
||||
}
|
||||
fieldLabel={label}
|
||||
key={value}
|
||||
selectedQueryName={baseQueryName}
|
||||
// Update the column unit value automatically only in create mode
|
||||
shouldUpdateYAxisUnit={isNewDashboard}
|
||||
/>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -56,9 +56,6 @@ describe('ContextLinks Component', () => {
|
||||
/>,
|
||||
);
|
||||
|
||||
// Check that the component renders
|
||||
expect(screen.getByText('Context Links')).toBeInTheDocument();
|
||||
|
||||
// Check that the add button is present
|
||||
expect(
|
||||
screen.getByRole('button', { name: /context link/i }),
|
||||
|
||||
@@ -14,7 +14,7 @@ import {
|
||||
verticalListSortingStrategy,
|
||||
} from '@dnd-kit/sortable';
|
||||
import { CSS } from '@dnd-kit/utilities';
|
||||
import { Button, Modal, Typography } from 'antd';
|
||||
import { Button, Modal } from 'antd';
|
||||
import OverlayScrollbar from 'components/OverlayScrollbar/OverlayScrollbar';
|
||||
import { GripVertical, Pencil, Plus, Trash2 } from 'lucide-react';
|
||||
import {
|
||||
@@ -134,11 +134,16 @@ function ContextLinks({
|
||||
|
||||
return (
|
||||
<div className="context-links-container">
|
||||
<Typography.Text className="context-links-text">
|
||||
Context Links
|
||||
</Typography.Text>
|
||||
|
||||
<div className="context-links-list">
|
||||
<Button
|
||||
type="default"
|
||||
className="add-context-link-button"
|
||||
icon={<Plus size={12} />}
|
||||
style={{ width: '100%' }}
|
||||
onClick={handleAddContextLink}
|
||||
>
|
||||
Add Context Link
|
||||
</Button>
|
||||
<OverlayScrollbar>
|
||||
<DndContext
|
||||
sensors={sensors}
|
||||
@@ -160,16 +165,6 @@ function ContextLinks({
|
||||
</SortableContext>
|
||||
</DndContext>
|
||||
</OverlayScrollbar>
|
||||
|
||||
{/* button to add context link */}
|
||||
<Button
|
||||
type="primary"
|
||||
className="add-context-link-button"
|
||||
icon={<Plus size={12} />}
|
||||
onClick={handleAddContextLink}
|
||||
>
|
||||
Context Link
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
<Modal
|
||||
|
||||
@@ -2,7 +2,6 @@
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 16px;
|
||||
margin: 12px;
|
||||
}
|
||||
|
||||
.context-links-text {
|
||||
@@ -110,10 +109,7 @@
|
||||
}
|
||||
|
||||
.add-context-link-button {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
margin: auto;
|
||||
width: fit-content;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
|
||||
@@ -0,0 +1,22 @@
|
||||
.fill-mode-selector {
|
||||
.fill-mode-icon {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
}
|
||||
|
||||
.fill-mode-label {
|
||||
text-transform: uppercase;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
color: var(--bg-vanilla-400);
|
||||
}
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
.fill-mode-selector {
|
||||
.fill-mode-label {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,92 @@
|
||||
import { ToggleGroup, ToggleGroupItem } from '@signozhq/toggle-group';
|
||||
import { Typography } from 'antd';
|
||||
import { FillMode } from 'lib/uPlotV2/config/types';
|
||||
|
||||
import './FillModeSelector.styles.scss';
|
||||
|
||||
interface FillModeSelectorProps {
|
||||
value: FillMode;
|
||||
onChange: (value: FillMode) => void;
|
||||
}
|
||||
|
||||
export function FillModeSelector({
|
||||
value,
|
||||
onChange,
|
||||
}: FillModeSelectorProps): JSX.Element {
|
||||
return (
|
||||
<section className="fill-mode-selector control-container">
|
||||
<Typography.Text className="fill-mode-label">Fill mode</Typography.Text>
|
||||
<ToggleGroup
|
||||
type="single"
|
||||
value={value}
|
||||
variant="outline"
|
||||
size="lg"
|
||||
onValueChange={(newValue): void => {
|
||||
if (newValue) {
|
||||
onChange(newValue as FillMode);
|
||||
}
|
||||
}}
|
||||
>
|
||||
<ToggleGroupItem value={FillMode.None} aria-label="None" title="None">
|
||||
<svg
|
||||
className="fill-mode-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<rect x="8" y="16" width="32" height="16" stroke="#888" fill="none" />
|
||||
</svg>
|
||||
None
|
||||
</ToggleGroupItem>
|
||||
<ToggleGroupItem value={FillMode.Solid} aria-label="Solid" title="Solid">
|
||||
<svg
|
||||
className="fill-mode-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<rect x="8" y="16" width="32" height="16" fill="#888" />
|
||||
</svg>
|
||||
Solid
|
||||
</ToggleGroupItem>
|
||||
<ToggleGroupItem
|
||||
value={FillMode.Gradient}
|
||||
aria-label="Gradient"
|
||||
title="Gradient"
|
||||
>
|
||||
<svg
|
||||
className="fill-mode-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<defs>
|
||||
<linearGradient id="fill-gradient" x1="0" y1="0" x2="1" y2="0">
|
||||
<stop offset="0%" stopColor="#888" stopOpacity="0.2" />
|
||||
<stop offset="100%" stopColor="#888" stopOpacity="0.8" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
<rect
|
||||
x="8"
|
||||
y="16"
|
||||
width="32"
|
||||
height="16"
|
||||
fill="url(#fill-gradient)"
|
||||
stroke="#888"
|
||||
/>
|
||||
</svg>
|
||||
Gradient
|
||||
</ToggleGroupItem>
|
||||
</ToggleGroup>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
.line-interpolation-selector {
|
||||
.line-interpolation-icon {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
}
|
||||
|
||||
.line-interpolation-label {
|
||||
text-transform: uppercase;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
color: var(--bg-vanilla-400);
|
||||
}
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
.line-interpolation-selector {
|
||||
.line-interpolation-label {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,110 @@
|
||||
import { ToggleGroup, ToggleGroupItem } from '@signozhq/toggle-group';
|
||||
import { Typography } from 'antd';
|
||||
import { LineInterpolation } from 'lib/uPlotV2/config/types';
|
||||
|
||||
import './LineInterpolationSelector.styles.scss';
|
||||
|
||||
interface LineInterpolationSelectorProps {
|
||||
value: LineInterpolation;
|
||||
onChange: (value: LineInterpolation) => void;
|
||||
}
|
||||
|
||||
export function LineInterpolationSelector({
|
||||
value,
|
||||
onChange,
|
||||
}: LineInterpolationSelectorProps): JSX.Element {
|
||||
return (
|
||||
<section className="line-interpolation-selector control-container">
|
||||
<Typography.Text className="line-interpolation-label">
|
||||
Line interpolation
|
||||
</Typography.Text>
|
||||
<ToggleGroup
|
||||
type="single"
|
||||
value={value}
|
||||
variant="outline"
|
||||
size="lg"
|
||||
onValueChange={(newValue): void => {
|
||||
if (newValue) {
|
||||
onChange(newValue as LineInterpolation);
|
||||
}
|
||||
}}
|
||||
>
|
||||
<ToggleGroupItem
|
||||
value={LineInterpolation.Linear}
|
||||
aria-label="Linear"
|
||||
title="Linear"
|
||||
>
|
||||
<svg
|
||||
className="line-interpolation-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<circle cx="8" cy="32" r="3" fill="#888" />
|
||||
<circle cx="24" cy="16" r="3" fill="#888" />
|
||||
<circle cx="40" cy="32" r="3" fill="#888" />
|
||||
<path d="M8 32 L24 16 L40 32" stroke="#888" />
|
||||
</svg>
|
||||
</ToggleGroupItem>
|
||||
<ToggleGroupItem value={LineInterpolation.Spline} aria-label="Spline">
|
||||
<svg
|
||||
className="line-interpolation-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<circle cx="8" cy="32" r="3" fill="#888" />
|
||||
<circle cx="24" cy="16" r="3" fill="#888" />
|
||||
<circle cx="40" cy="32" r="3" fill="#888" />
|
||||
<path d="M8 32 C16 8, 32 8, 40 32" />
|
||||
</svg>
|
||||
</ToggleGroupItem>
|
||||
<ToggleGroupItem
|
||||
value={LineInterpolation.StepAfter}
|
||||
aria-label="Step After"
|
||||
>
|
||||
<svg
|
||||
className="line-interpolation-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<circle cx="8" cy="32" r="3" fill="#888" />
|
||||
<circle cx="24" cy="16" r="3" fill="#888" />
|
||||
<circle cx="40" cy="32" r="3" fill="#888" />
|
||||
<path d="M8 32 V16 H24 V32 H40" />
|
||||
</svg>
|
||||
</ToggleGroupItem>
|
||||
|
||||
<ToggleGroupItem
|
||||
value={LineInterpolation.StepBefore}
|
||||
aria-label="Step Before"
|
||||
>
|
||||
<svg
|
||||
className="line-interpolation-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<circle cx="8" cy="32" r="3" fill="#888" />
|
||||
<circle cx="24" cy="16" r="3" fill="#888" />
|
||||
<circle cx="40" cy="32" r="3" fill="#888" />
|
||||
<path d="M8 32 H24 V16 H40 V32" />
|
||||
</svg>
|
||||
</ToggleGroupItem>
|
||||
</ToggleGroup>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
.line-style-selector {
|
||||
.line-style-icon {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
}
|
||||
|
||||
.line-style-label {
|
||||
text-transform: uppercase;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
color: var(--bg-vanilla-400);
|
||||
}
|
||||
}
|
||||
|
||||
.lightMode {
|
||||
.line-style-selector {
|
||||
.line-style-label {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,66 @@
|
||||
import { ToggleGroup, ToggleGroupItem } from '@signozhq/toggle-group';
|
||||
import { Typography } from 'antd';
|
||||
import { LineStyle } from 'lib/uPlotV2/config/types';
|
||||
|
||||
import './LineStyleSelector.styles.scss';
|
||||
|
||||
interface LineStyleSelectorProps {
|
||||
value: LineStyle;
|
||||
onChange: (value: LineStyle) => void;
|
||||
}
|
||||
|
||||
export function LineStyleSelector({
|
||||
value,
|
||||
onChange,
|
||||
}: LineStyleSelectorProps): JSX.Element {
|
||||
return (
|
||||
<section className="line-style-selector control-container">
|
||||
<Typography.Text className="line-style-label">Line style</Typography.Text>
|
||||
<ToggleGroup
|
||||
type="single"
|
||||
value={value}
|
||||
variant="outline"
|
||||
size="lg"
|
||||
onValueChange={(newValue): void => {
|
||||
if (newValue) {
|
||||
onChange(newValue as LineStyle);
|
||||
}
|
||||
}}
|
||||
>
|
||||
<ToggleGroupItem value={LineStyle.Solid} aria-label="Solid" title="Solid">
|
||||
<svg
|
||||
className="line-style-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
>
|
||||
<path d="M8 24 L40 24" />
|
||||
</svg>
|
||||
Solid
|
||||
</ToggleGroupItem>
|
||||
<ToggleGroupItem
|
||||
value={LineStyle.Dashed}
|
||||
aria-label="Dashed"
|
||||
title="Dashed"
|
||||
>
|
||||
<svg
|
||||
className="line-style-icon"
|
||||
viewBox="0 0 48 48"
|
||||
fill="none"
|
||||
stroke="#888"
|
||||
strokeWidth="2"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeDasharray="6 4"
|
||||
>
|
||||
<path d="M8 24 L40 24" />
|
||||
</svg>
|
||||
Dashed
|
||||
</ToggleGroupItem>
|
||||
</ToggleGroup>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
@@ -1,6 +1,17 @@
|
||||
.right-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
font-family: 'Space Mono';
|
||||
|
||||
.section-heading {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.header {
|
||||
display: flex;
|
||||
@@ -24,25 +35,14 @@
|
||||
letter-spacing: -0.07px;
|
||||
}
|
||||
}
|
||||
|
||||
.name-description {
|
||||
.control-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
padding: 12px 12px 16px 12px;
|
||||
border-top: 1px solid var(--bg-slate-500);
|
||||
border-bottom: 1px solid var(--bg-slate-500);
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.typography {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
.name-description {
|
||||
padding: 0 0 4px 0;
|
||||
|
||||
.name-input {
|
||||
display: flex;
|
||||
@@ -88,22 +88,26 @@
|
||||
.panel-config {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
padding: 12px 12px 16px 12px;
|
||||
gap: 8px;
|
||||
border-bottom: 1px solid var(--bg-slate-500);
|
||||
|
||||
.typography {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
.toggle-card {
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
padding: 12px;
|
||||
border-radius: 2px;
|
||||
border: 1px solid var(--bg-slate-400);
|
||||
background: var(--bg-ink-400);
|
||||
}
|
||||
|
||||
.toggle-card-text-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 4px;
|
||||
}
|
||||
|
||||
.panel-type-select {
|
||||
width: 100%;
|
||||
.ant-select-selector {
|
||||
display: flex;
|
||||
height: 32px;
|
||||
@@ -115,98 +119,32 @@
|
||||
border: 1px solid var(--bg-slate-400);
|
||||
background: var(--bg-ink-300);
|
||||
}
|
||||
|
||||
.select-option {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
.icon {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.display {
|
||||
color: var(--bg-vanilla-100);
|
||||
font-family: Inter;
|
||||
font-size: 12px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 16px; /* 133.333% */
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.fill-gaps {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
padding: 12px;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
border-radius: 2px;
|
||||
border: 1px solid var(--bg-slate-400);
|
||||
background: var(--bg-ink-400);
|
||||
|
||||
.fill-gaps-text {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
.toggle-card-description {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: Inter;
|
||||
font-size: 12px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
opacity: 0.6;
|
||||
line-height: 16px; /* 133.333% */
|
||||
}
|
||||
|
||||
.log-scale,
|
||||
.decimal-precision-selector {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.decimal-precision-selector,
|
||||
.legend-position {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.legend-colors {
|
||||
margin-top: 16px;
|
||||
}
|
||||
|
||||
.panel-time-text {
|
||||
margin-top: 16px;
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.y-axis-unit-selector,
|
||||
.y-axis-unit-selector-v2 {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
|
||||
.heading {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
@extend .section-heading;
|
||||
}
|
||||
|
||||
.input {
|
||||
@@ -259,7 +197,6 @@
|
||||
|
||||
.text {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 12px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
@@ -278,40 +215,11 @@
|
||||
}
|
||||
|
||||
.stack-chart {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
justify-content: space-between;
|
||||
gap: 8px;
|
||||
|
||||
.label {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
}
|
||||
|
||||
.bucket-config {
|
||||
margin-top: 16px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
|
||||
.label {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
line-height: 18px; /* 138.462% */
|
||||
letter-spacing: 0.52px;
|
||||
text-transform: uppercase;
|
||||
}
|
||||
|
||||
.bucket-size-label {
|
||||
margin-top: 8px;
|
||||
}
|
||||
@@ -340,7 +248,6 @@
|
||||
|
||||
.label {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: 'Space Mono';
|
||||
font-size: 13px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
@@ -352,16 +259,13 @@
|
||||
}
|
||||
}
|
||||
|
||||
.context-links {
|
||||
border-bottom: 1px solid var(--bg-slate-500);
|
||||
}
|
||||
|
||||
.alerts {
|
||||
display: flex;
|
||||
padding: 12px;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
border-bottom: 1px solid var(--bg-slate-500);
|
||||
padding: 12px 12px 32px 12px;
|
||||
min-height: 44px;
|
||||
border-top: 1px solid var(--bg-slate-500);
|
||||
cursor: pointer;
|
||||
|
||||
.left-section {
|
||||
@@ -375,7 +279,6 @@
|
||||
|
||||
.alerts-text {
|
||||
color: var(--bg-vanilla-400);
|
||||
font-family: Inter;
|
||||
font-size: 14px;
|
||||
font-style: normal;
|
||||
font-weight: 400;
|
||||
@@ -387,6 +290,16 @@
|
||||
color: var(--bg-vanilla-400);
|
||||
}
|
||||
}
|
||||
|
||||
.context-links {
|
||||
padding: 12px 12px 16px 12px;
|
||||
border-bottom: 1px solid var(--bg-slate-500);
|
||||
}
|
||||
|
||||
.thresholds-section {
|
||||
padding: 12px 12px 16px 12px;
|
||||
border-top: 1px solid var(--bg-slate-500);
|
||||
}
|
||||
}
|
||||
|
||||
.select-option {
|
||||
@@ -411,6 +324,9 @@
|
||||
.lightMode {
|
||||
.right-container {
|
||||
background-color: var(--bg-vanilla-100);
|
||||
.section-heading {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
.header {
|
||||
.header-text {
|
||||
color: var(--bg-ink-400);
|
||||
@@ -421,10 +337,6 @@
|
||||
border-top: 1px solid var(--bg-vanilla-300);
|
||||
border-bottom: 1px solid var(--bg-vanilla-300);
|
||||
|
||||
.typography {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
|
||||
.name-input {
|
||||
border: 1px solid var(--bg-vanilla-300);
|
||||
background: var(--bg-vanilla-300);
|
||||
@@ -441,12 +353,6 @@
|
||||
}
|
||||
|
||||
.panel-config {
|
||||
border-bottom: 1px solid var(--bg-vanilla-300);
|
||||
|
||||
.typography {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
|
||||
.panel-type-select {
|
||||
.ant-select-selector {
|
||||
border: 1px solid var(--bg-vanilla-300);
|
||||
@@ -471,13 +377,16 @@
|
||||
}
|
||||
}
|
||||
|
||||
.fill-gaps {
|
||||
.toggle-card {
|
||||
border: 1px solid var(--bg-vanilla-300);
|
||||
background: var(--bg-vanilla-300);
|
||||
|
||||
.fill-gaps-text {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
.toggle-card-description {
|
||||
color: var(--bg-ink-400);
|
||||
}
|
||||
}
|
||||
|
||||
.bucket-config {
|
||||
@@ -530,7 +439,7 @@
|
||||
}
|
||||
|
||||
.alerts {
|
||||
border-bottom: 1px solid var(--bg-vanilla-300);
|
||||
border-top: 1px solid var(--bg-vanilla-300);
|
||||
|
||||
.left-section {
|
||||
.bell-icon {
|
||||
@@ -549,6 +458,10 @@
|
||||
.context-links {
|
||||
border-bottom: 1px solid var(--bg-vanilla-300);
|
||||
}
|
||||
|
||||
.thresholds-section {
|
||||
border-top: 1px solid var(--bg-vanilla-300);
|
||||
}
|
||||
}
|
||||
|
||||
.select-option {
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
.threshold-selector-container {
|
||||
padding: 12px;
|
||||
padding-bottom: 80px;
|
||||
|
||||
.threshold-select {
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
import { useCallback } from 'react';
|
||||
import { DndProvider } from 'react-dnd';
|
||||
import { HTML5Backend } from 'react-dnd-html5-backend';
|
||||
import { Typography } from 'antd';
|
||||
import { Button } from 'antd';
|
||||
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
|
||||
import { useGetQueryLabels } from 'hooks/useGetQueryLabels';
|
||||
import { Antenna, Plus } from 'lucide-react';
|
||||
import { Plus } from 'lucide-react';
|
||||
import { v4 as uuid } from 'uuid';
|
||||
|
||||
import Threshold from './Threshold';
|
||||
@@ -68,11 +68,14 @@ function ThresholdSelector({
|
||||
<DndProvider backend={HTML5Backend}>
|
||||
<div className="threshold-selector-container">
|
||||
<div className="threshold-select" onClick={addThresholdHandler}>
|
||||
<div className="left-section">
|
||||
<Antenna size={14} className="icon" />
|
||||
<Typography.Text className="text">Thresholds</Typography.Text>
|
||||
</div>
|
||||
<Plus size={14} onClick={addThresholdHandler} className="icon" />
|
||||
<Button
|
||||
type="default"
|
||||
icon={<Plus size={14} />}
|
||||
style={{ width: '100%' }}
|
||||
onClick={addThresholdHandler}
|
||||
>
|
||||
Add Threshold
|
||||
</Button>
|
||||
</div>
|
||||
{thresholds.map((threshold, idx) => (
|
||||
<Threshold
|
||||
|
||||
@@ -6,6 +6,11 @@ import { MemoryRouter } from 'react-router-dom';
|
||||
import { render as rtlRender, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import {
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { AppContext } from 'providers/App/App';
|
||||
import { IAppContext } from 'providers/App/types';
|
||||
import { DashboardProvider } from 'providers/Dashboard/Dashboard';
|
||||
@@ -168,6 +173,14 @@ describe('RightContainer - Alerts Section', () => {
|
||||
setContextLinks: jest.fn(),
|
||||
enableDrillDown: false,
|
||||
isNewDashboard: false,
|
||||
lineInterpolation: LineInterpolation.Spline,
|
||||
fillMode: FillMode.None,
|
||||
lineStyle: LineStyle.Solid,
|
||||
setLineInterpolation: jest.fn(),
|
||||
setFillMode: jest.fn(),
|
||||
setLineStyle: jest.fn(),
|
||||
showPoints: false,
|
||||
setShowPoints: jest.fn(),
|
||||
};
|
||||
|
||||
beforeEach(() => {
|
||||
|
||||
@@ -206,3 +206,59 @@ export const panelTypeVsDecimalPrecision: {
|
||||
[PANEL_TYPES.TRACE]: false,
|
||||
[PANEL_TYPES.EMPTY_WIDGET]: false,
|
||||
} as const;
|
||||
|
||||
export const panelTypeVsLineInterpolation: {
|
||||
[key in PANEL_TYPES]: boolean;
|
||||
} = {
|
||||
[PANEL_TYPES.TIME_SERIES]: true,
|
||||
[PANEL_TYPES.VALUE]: false,
|
||||
[PANEL_TYPES.TABLE]: false,
|
||||
[PANEL_TYPES.LIST]: false,
|
||||
[PANEL_TYPES.PIE]: false,
|
||||
[PANEL_TYPES.BAR]: false,
|
||||
[PANEL_TYPES.HISTOGRAM]: false,
|
||||
[PANEL_TYPES.TRACE]: false,
|
||||
[PANEL_TYPES.EMPTY_WIDGET]: false,
|
||||
} as const;
|
||||
|
||||
export const panelTypeVsLineStyle: {
|
||||
[key in PANEL_TYPES]: boolean;
|
||||
} = {
|
||||
[PANEL_TYPES.TIME_SERIES]: true,
|
||||
[PANEL_TYPES.VALUE]: false,
|
||||
[PANEL_TYPES.TABLE]: false,
|
||||
[PANEL_TYPES.LIST]: false,
|
||||
[PANEL_TYPES.PIE]: false,
|
||||
[PANEL_TYPES.BAR]: false,
|
||||
[PANEL_TYPES.HISTOGRAM]: false,
|
||||
[PANEL_TYPES.TRACE]: false,
|
||||
[PANEL_TYPES.EMPTY_WIDGET]: false,
|
||||
} as const;
|
||||
|
||||
export const panelTypeVsFillMode: {
|
||||
[key in PANEL_TYPES]: boolean;
|
||||
} = {
|
||||
[PANEL_TYPES.TIME_SERIES]: true,
|
||||
[PANEL_TYPES.VALUE]: false,
|
||||
[PANEL_TYPES.TABLE]: false,
|
||||
[PANEL_TYPES.LIST]: false,
|
||||
[PANEL_TYPES.PIE]: false,
|
||||
[PANEL_TYPES.BAR]: false,
|
||||
[PANEL_TYPES.HISTOGRAM]: false,
|
||||
[PANEL_TYPES.TRACE]: false,
|
||||
[PANEL_TYPES.EMPTY_WIDGET]: false,
|
||||
} as const;
|
||||
|
||||
export const panelTypeVsShowPoints: {
|
||||
[key in PANEL_TYPES]: boolean;
|
||||
} = {
|
||||
[PANEL_TYPES.TIME_SERIES]: true,
|
||||
[PANEL_TYPES.VALUE]: false,
|
||||
[PANEL_TYPES.TABLE]: false,
|
||||
[PANEL_TYPES.LIST]: false,
|
||||
[PANEL_TYPES.PIE]: false,
|
||||
[PANEL_TYPES.BAR]: false,
|
||||
[PANEL_TYPES.HISTOGRAM]: false,
|
||||
[PANEL_TYPES.TRACE]: false,
|
||||
[PANEL_TYPES.EMPTY_WIDGET]: false,
|
||||
} as const;
|
||||
|
||||
@@ -14,11 +14,11 @@ import {
|
||||
Input,
|
||||
InputNumber,
|
||||
Select,
|
||||
Space,
|
||||
Switch,
|
||||
Typography,
|
||||
} from 'antd';
|
||||
import { PrecisionOption, PrecisionOptionsEnum } from 'components/Graph/types';
|
||||
import SettingsSection from 'components/SettingsSection/SettingsSection';
|
||||
import TimePreference from 'components/TimePreferenceDropDown';
|
||||
import { PANEL_TYPES, PanelDisplay } from 'constants/queryBuilder';
|
||||
import GraphTypes, {
|
||||
@@ -28,9 +28,22 @@ import { useDashboardVariables } from 'hooks/dashboard/useDashboardVariables';
|
||||
import useCreateAlerts from 'hooks/queryBuilder/useCreateAlerts';
|
||||
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
|
||||
import {
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import {
|
||||
Antenna,
|
||||
Axis3D,
|
||||
ConciergeBell,
|
||||
Layers,
|
||||
LayoutDashboard,
|
||||
LineChart,
|
||||
Link,
|
||||
Paintbrush,
|
||||
Pencil,
|
||||
Plus,
|
||||
SlidersHorizontal,
|
||||
Spline,
|
||||
SquareArrowOutUpRight,
|
||||
} from 'lucide-react';
|
||||
@@ -52,11 +65,15 @@ import {
|
||||
panelTypeVsContextLinks,
|
||||
panelTypeVsCreateAlert,
|
||||
panelTypeVsDecimalPrecision,
|
||||
panelTypeVsFillMode,
|
||||
panelTypeVsFillSpan,
|
||||
panelTypeVsLegendColors,
|
||||
panelTypeVsLegendPosition,
|
||||
panelTypeVsLineInterpolation,
|
||||
panelTypeVsLineStyle,
|
||||
panelTypeVsLogScale,
|
||||
panelTypeVsPanelTimePreferences,
|
||||
panelTypeVsShowPoints,
|
||||
panelTypeVsSoftMinMax,
|
||||
panelTypeVsStackingChartPreferences,
|
||||
panelTypeVsThreshold,
|
||||
@@ -64,7 +81,10 @@ import {
|
||||
} from './constants';
|
||||
import ContextLinks from './ContextLinks';
|
||||
import DashboardYAxisUnitSelectorWrapper from './DashboardYAxisUnitSelectorWrapper';
|
||||
import { FillModeSelector } from './FillModeSelector';
|
||||
import LegendColors from './LegendColors/LegendColors';
|
||||
import { LineInterpolationSelector } from './LineInterpolationSelector';
|
||||
import { LineStyleSelector } from './LineStyleSelector';
|
||||
import ThresholdSelector from './Threshold/ThresholdSelector';
|
||||
import { ThresholdProps } from './Threshold/types';
|
||||
import { timePreferance } from './timeItems';
|
||||
@@ -91,6 +111,14 @@ function RightContainer({
|
||||
setTitle,
|
||||
title,
|
||||
selectedGraph,
|
||||
lineInterpolation,
|
||||
setLineInterpolation,
|
||||
fillMode,
|
||||
setFillMode,
|
||||
lineStyle,
|
||||
setLineStyle,
|
||||
showPoints,
|
||||
setShowPoints,
|
||||
bucketCount,
|
||||
bucketWidth,
|
||||
stackedBarChart,
|
||||
@@ -167,6 +195,11 @@ function RightContainer({
|
||||
panelTypeVsContextLinks[selectedGraph] && enableDrillDown;
|
||||
const allowDecimalPrecision = panelTypeVsDecimalPrecision[selectedGraph];
|
||||
|
||||
const allowLineInterpolation = panelTypeVsLineInterpolation[selectedGraph];
|
||||
const allowLineStyle = panelTypeVsLineStyle[selectedGraph];
|
||||
const allowFillMode = panelTypeVsFillMode[selectedGraph];
|
||||
const allowShowPoints = panelTypeVsShowPoints[selectedGraph];
|
||||
|
||||
const { currentQuery } = useQueryBuilder();
|
||||
|
||||
const [graphTypes, setGraphTypes] = useState<ItemsProps[]>(GraphTypes);
|
||||
@@ -178,6 +211,22 @@ function RightContainer({
|
||||
}));
|
||||
}, [dashboardVariables]);
|
||||
|
||||
const isAxisSectionVisible = useMemo(() => allowSoftMinMax || allowLogScale, [
|
||||
allowSoftMinMax,
|
||||
allowLogScale,
|
||||
]);
|
||||
|
||||
const isLegendSectionVisible = useMemo(
|
||||
() => allowLegendPosition || allowLegendColors,
|
||||
[allowLegendPosition, allowLegendColors],
|
||||
);
|
||||
|
||||
const isChartAppearanceSectionVisible = useMemo(
|
||||
() =>
|
||||
allowFillMode || allowLineStyle || allowLineInterpolation || allowShowPoints,
|
||||
[allowFillMode, allowLineStyle, allowLineInterpolation, allowShowPoints],
|
||||
);
|
||||
|
||||
const updateCursorAndDropdown = (value: string, pos: number): void => {
|
||||
setCursorPos(pos);
|
||||
const lastDollar = value.lastIndexOf('$', pos - 1);
|
||||
@@ -193,6 +242,15 @@ function RightContainer({
|
||||
}, 0);
|
||||
};
|
||||
|
||||
const decimapPrecisionOptions = useMemo(() => {
|
||||
return [
|
||||
{ label: '0 decimals', value: PrecisionOptionsEnum.ZERO },
|
||||
{ label: '1 decimal', value: PrecisionOptionsEnum.ONE },
|
||||
{ label: '2 decimals', value: PrecisionOptionsEnum.TWO },
|
||||
{ label: '3 decimals', value: PrecisionOptionsEnum.THREE },
|
||||
];
|
||||
}, []);
|
||||
|
||||
const handleInputCursor = (): void => {
|
||||
const pos = inputRef.current?.input?.selectionStart ?? 0;
|
||||
updateCursorAndDropdown(inputValue, pos);
|
||||
@@ -263,269 +321,331 @@ function RightContainer({
|
||||
<div className="right-container">
|
||||
<section className="header">
|
||||
<div className="purple-dot" />
|
||||
<Typography.Text className="header-text">Panel details</Typography.Text>
|
||||
<Typography.Text className="header-text">Panel Settings</Typography.Text>
|
||||
</section>
|
||||
<section className="name-description">
|
||||
<Typography.Text className="typography">Name</Typography.Text>
|
||||
<AutoComplete
|
||||
options={dashboardVariableOptions}
|
||||
value={inputValue}
|
||||
onChange={onInputChange}
|
||||
onSelect={onSelect}
|
||||
filterOption={filterOption}
|
||||
style={{ width: '100%' }}
|
||||
getPopupContainer={popupContainer}
|
||||
placeholder="Enter the panel name here..."
|
||||
open={autoCompleteOpen}
|
||||
>
|
||||
<Input
|
||||
rootClassName="name-input"
|
||||
ref={inputRef}
|
||||
onSelect={handleInputCursor}
|
||||
onClick={handleInputCursor}
|
||||
onBlur={(): void => setAutoCompleteOpen(false)}
|
||||
/>
|
||||
</AutoComplete>
|
||||
<Typography.Text className="typography">Description</Typography.Text>
|
||||
<TextArea
|
||||
placeholder="Enter the panel description here..."
|
||||
bordered
|
||||
allowClear
|
||||
value={description}
|
||||
onChange={(event): void =>
|
||||
onChangeHandler(setDescription, event.target.value)
|
||||
}
|
||||
rootClassName="description-input"
|
||||
/>
|
||||
</section>
|
||||
<section className="panel-config">
|
||||
<Typography.Text className="typography">Panel Type</Typography.Text>
|
||||
<Select
|
||||
onChange={setGraphHandler}
|
||||
value={selectedGraph}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
data-testid="panel-change-select"
|
||||
data-stacking-state={stackedBarChart ? 'true' : 'false'}
|
||||
>
|
||||
{graphTypes.map((item) => (
|
||||
<Option key={item.name} value={item.name}>
|
||||
<div className="select-option">
|
||||
<div className="icon">{item.icon}</div>
|
||||
<Typography.Text className="display">{item.display}</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
))}
|
||||
</Select>
|
||||
|
||||
{allowFillSpans && (
|
||||
<Space className="fill-gaps">
|
||||
<Typography className="fill-gaps-text">Fill gaps</Typography>
|
||||
<Switch
|
||||
checked={isFillSpans}
|
||||
size="small"
|
||||
onChange={(checked): void => setIsFillSpans(checked)}
|
||||
<SettingsSection title="General" defaultOpen icon={<Pencil size={14} />}>
|
||||
<section className="name-description control-container">
|
||||
<Typography.Text className="section-heading">Name</Typography.Text>
|
||||
<AutoComplete
|
||||
options={dashboardVariableOptions}
|
||||
value={inputValue}
|
||||
onChange={onInputChange}
|
||||
onSelect={onSelect}
|
||||
filterOption={filterOption}
|
||||
style={{ width: '100%' }}
|
||||
getPopupContainer={popupContainer}
|
||||
placeholder="Enter the panel name here..."
|
||||
open={autoCompleteOpen}
|
||||
>
|
||||
<Input
|
||||
rootClassName="name-input"
|
||||
ref={inputRef}
|
||||
onSelect={handleInputCursor}
|
||||
onClick={handleInputCursor}
|
||||
onBlur={(): void => setAutoCompleteOpen(false)}
|
||||
/>
|
||||
</Space>
|
||||
)}
|
||||
|
||||
{allowPanelTimePreference && (
|
||||
<>
|
||||
<Typography.Text className="panel-time-text">
|
||||
Panel Time Preference
|
||||
</Typography.Text>
|
||||
<TimePreference
|
||||
{...{
|
||||
selectedTime,
|
||||
setSelectedTime,
|
||||
}}
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
|
||||
{allowPanelColumnPreference && (
|
||||
<ColumnUnitSelector
|
||||
columnUnits={columnUnits}
|
||||
setColumnUnits={setColumnUnits}
|
||||
isNewDashboard={isNewDashboard}
|
||||
/>
|
||||
)}
|
||||
|
||||
{allowYAxisUnit && (
|
||||
<DashboardYAxisUnitSelectorWrapper
|
||||
onSelect={setYAxisUnit}
|
||||
value={yAxisUnit || ''}
|
||||
fieldLabel={
|
||||
selectedGraphType === PanelDisplay.VALUE ||
|
||||
selectedGraphType === PanelDisplay.PIE
|
||||
? 'Unit'
|
||||
: 'Y Axis Unit'
|
||||
</AutoComplete>
|
||||
<Typography.Text className="section-heading">Description</Typography.Text>
|
||||
<TextArea
|
||||
placeholder="Enter the panel description here..."
|
||||
bordered
|
||||
allowClear
|
||||
value={description}
|
||||
onChange={(event): void =>
|
||||
onChangeHandler(setDescription, event.target.value)
|
||||
}
|
||||
// Only update the y-axis unit value automatically in create mode
|
||||
shouldUpdateYAxisUnit={isNewDashboard}
|
||||
rootClassName="description-input"
|
||||
/>
|
||||
)}
|
||||
</section>
|
||||
</SettingsSection>
|
||||
|
||||
{allowDecimalPrecision && (
|
||||
<section className="decimal-precision-selector">
|
||||
<Typography.Text className="typography">
|
||||
Decimal Precision
|
||||
</Typography.Text>
|
||||
<section className="panel-config">
|
||||
<SettingsSection
|
||||
title="Visualization"
|
||||
defaultOpen
|
||||
icon={<LayoutDashboard size={14} />}
|
||||
>
|
||||
<section className="panel-type control-container">
|
||||
<Typography.Text className="section-heading">Panel Type</Typography.Text>
|
||||
<Select
|
||||
options={[
|
||||
{ label: '0 decimals', value: PrecisionOptionsEnum.ZERO },
|
||||
{ label: '1 decimal', value: PrecisionOptionsEnum.ONE },
|
||||
{ label: '2 decimals', value: PrecisionOptionsEnum.TWO },
|
||||
{ label: '3 decimals', value: PrecisionOptionsEnum.THREE },
|
||||
{ label: '4 decimals', value: PrecisionOptionsEnum.FOUR },
|
||||
{ label: 'Full Precision', value: PrecisionOptionsEnum.FULL },
|
||||
]}
|
||||
value={decimalPrecision}
|
||||
style={{ width: '100%' }}
|
||||
onChange={setGraphHandler}
|
||||
value={selectedGraph}
|
||||
className="panel-type-select"
|
||||
defaultValue={PrecisionOptionsEnum.TWO}
|
||||
onChange={(val: PrecisionOption): void => setDecimalPrecision(val)}
|
||||
/>
|
||||
data-testid="panel-change-select"
|
||||
data-stacking-state={stackedBarChart ? 'true' : 'false'}
|
||||
>
|
||||
{graphTypes.map((item) => (
|
||||
<Option key={item.name} value={item.name}>
|
||||
<div className="select-option">
|
||||
<div className="icon">{item.icon}</div>
|
||||
<Typography.Text className="display">{item.display}</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
))}
|
||||
</Select>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowSoftMinMax && (
|
||||
<section className="soft-min-max">
|
||||
<section className="container">
|
||||
<Typography.Text className="text">Soft Min</Typography.Text>
|
||||
<InputNumber
|
||||
type="number"
|
||||
value={softMin}
|
||||
onChange={softMinHandler}
|
||||
rootClassName="input"
|
||||
{allowPanelTimePreference && (
|
||||
<section className="panel-time-preference control-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Panel Time Preference
|
||||
</Typography.Text>
|
||||
<TimePreference
|
||||
{...{
|
||||
selectedTime,
|
||||
setSelectedTime,
|
||||
}}
|
||||
/>
|
||||
</section>
|
||||
<section className="container">
|
||||
<Typography.Text className="text">Soft Max</Typography.Text>
|
||||
<InputNumber
|
||||
value={softMax}
|
||||
type="number"
|
||||
rootClassName="input"
|
||||
onChange={softMaxHandler}
|
||||
)}
|
||||
|
||||
{allowStackingBarChart && (
|
||||
<section className="stack-chart control-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Stack series
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
checked={stackedBarChart}
|
||||
size="small"
|
||||
onChange={(checked): void => setStackedBarChart(checked)}
|
||||
/>
|
||||
</section>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowFillSpans && (
|
||||
<section className="fill-gaps toggle-card">
|
||||
<div className="toggle-card-text-container">
|
||||
<Typography className="section-heading">Fill gaps</Typography>
|
||||
<Typography.Text className="toggle-card-description">
|
||||
Fill gaps in data with 0 for continuity
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Switch
|
||||
checked={isFillSpans}
|
||||
size="small"
|
||||
onChange={(checked): void => setIsFillSpans(checked)}
|
||||
/>
|
||||
</section>
|
||||
)}
|
||||
</SettingsSection>
|
||||
|
||||
<SettingsSection
|
||||
title="Formatting & Units"
|
||||
icon={<SlidersHorizontal size={14} />}
|
||||
>
|
||||
{allowYAxisUnit && (
|
||||
<DashboardYAxisUnitSelectorWrapper
|
||||
onSelect={setYAxisUnit}
|
||||
value={yAxisUnit || ''}
|
||||
fieldLabel={
|
||||
selectedGraphType === PanelDisplay.VALUE ||
|
||||
selectedGraphType === PanelDisplay.PIE
|
||||
? 'Unit'
|
||||
: 'Y Axis Unit'
|
||||
}
|
||||
// Only update the y-axis unit value automatically in create mode
|
||||
shouldUpdateYAxisUnit={isNewDashboard}
|
||||
/>
|
||||
)}
|
||||
|
||||
{allowDecimalPrecision && (
|
||||
<section className="decimal-precision-selector control-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Decimal Precision
|
||||
</Typography.Text>
|
||||
<Select
|
||||
options={decimapPrecisionOptions}
|
||||
value={decimalPrecision}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
defaultValue={PrecisionOptionsEnum.TWO}
|
||||
onChange={(val: PrecisionOption): void => setDecimalPrecision(val)}
|
||||
/>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowPanelColumnPreference && (
|
||||
<ColumnUnitSelector
|
||||
columnUnits={columnUnits}
|
||||
setColumnUnits={setColumnUnits}
|
||||
isNewDashboard={isNewDashboard}
|
||||
/>
|
||||
)}
|
||||
</SettingsSection>
|
||||
|
||||
{isChartAppearanceSectionVisible && (
|
||||
<SettingsSection title="Chart Appearance" icon={<Paintbrush size={14} />}>
|
||||
{allowFillMode && (
|
||||
<FillModeSelector value={fillMode} onChange={setFillMode} />
|
||||
)}
|
||||
{allowLineStyle && (
|
||||
<LineStyleSelector value={lineStyle} onChange={setLineStyle} />
|
||||
)}
|
||||
{allowLineInterpolation && (
|
||||
<LineInterpolationSelector
|
||||
value={lineInterpolation}
|
||||
onChange={setLineInterpolation}
|
||||
/>
|
||||
)}
|
||||
{allowShowPoints && (
|
||||
<section className="show-points toggle-card">
|
||||
<div className="toggle-card-text-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Show points
|
||||
</Typography.Text>
|
||||
<Typography.Text className="toggle-card-description">
|
||||
Display individual data points on the chart
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Switch size="small" checked={showPoints} onChange={setShowPoints} />
|
||||
</section>
|
||||
)}
|
||||
</SettingsSection>
|
||||
)}
|
||||
|
||||
{allowStackingBarChart && (
|
||||
<section className="stack-chart">
|
||||
<Typography.Text className="label">Stack series</Typography.Text>
|
||||
<Switch
|
||||
checked={stackedBarChart}
|
||||
size="small"
|
||||
onChange={(checked): void => setStackedBarChart(checked)}
|
||||
/>
|
||||
</section>
|
||||
{isAxisSectionVisible && (
|
||||
<SettingsSection title="Axes" icon={<Axis3D size={14} />}>
|
||||
{allowSoftMinMax && (
|
||||
<section className="soft-min-max">
|
||||
<section className="container">
|
||||
<Typography.Text className="text">Soft Min</Typography.Text>
|
||||
<InputNumber
|
||||
type="number"
|
||||
value={softMin}
|
||||
onChange={softMinHandler}
|
||||
rootClassName="input"
|
||||
/>
|
||||
</section>
|
||||
<section className="container">
|
||||
<Typography.Text className="text">Soft Max</Typography.Text>
|
||||
<InputNumber
|
||||
value={softMax}
|
||||
type="number"
|
||||
rootClassName="input"
|
||||
onChange={softMaxHandler}
|
||||
/>
|
||||
</section>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowLogScale && (
|
||||
<section className="log-scale control-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Y Axis Scale
|
||||
</Typography.Text>
|
||||
<Select
|
||||
onChange={(value): void =>
|
||||
setIsLogScale(value === LogScale.LOGARITHMIC)
|
||||
}
|
||||
value={isLogScale ? LogScale.LOGARITHMIC : LogScale.LINEAR}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
defaultValue={LogScale.LINEAR}
|
||||
>
|
||||
<Option value={LogScale.LINEAR}>
|
||||
<div className="select-option">
|
||||
<div className="icon">
|
||||
<LineChart size={16} />
|
||||
</div>
|
||||
<Typography.Text className="display">Linear</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
<Option value={LogScale.LOGARITHMIC}>
|
||||
<div className="select-option">
|
||||
<div className="icon">
|
||||
<Spline size={16} />
|
||||
</div>
|
||||
<Typography.Text className="display">Logarithmic</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
</Select>
|
||||
</section>
|
||||
)}
|
||||
</SettingsSection>
|
||||
)}
|
||||
|
||||
{isLegendSectionVisible && (
|
||||
<SettingsSection title="Legend" icon={<Layers size={14} />}>
|
||||
{allowLegendPosition && (
|
||||
<section className="legend-position control-container">
|
||||
<Typography.Text className="section-heading">Position</Typography.Text>
|
||||
<Select
|
||||
onChange={(value: LegendPosition): void => setLegendPosition(value)}
|
||||
value={legendPosition}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
defaultValue={LegendPosition.BOTTOM}
|
||||
>
|
||||
<Option value={LegendPosition.BOTTOM}>
|
||||
<div className="select-option">
|
||||
<Typography.Text className="display">Bottom</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
<Option value={LegendPosition.RIGHT}>
|
||||
<div className="select-option">
|
||||
<Typography.Text className="display">Right</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
</Select>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowLegendColors && (
|
||||
<section className="legend-colors">
|
||||
<LegendColors
|
||||
customLegendColors={customLegendColors}
|
||||
setCustomLegendColors={setCustomLegendColors}
|
||||
queryResponse={queryResponse}
|
||||
/>
|
||||
</section>
|
||||
)}
|
||||
</SettingsSection>
|
||||
)}
|
||||
|
||||
{allowBucketConfig && (
|
||||
<section className="bucket-config">
|
||||
<Typography.Text className="label">Number of buckets</Typography.Text>
|
||||
<InputNumber
|
||||
value={bucketCount || null}
|
||||
type="number"
|
||||
min={0}
|
||||
rootClassName="bucket-input"
|
||||
placeholder="Default: 30"
|
||||
onChange={(val): void => {
|
||||
setBucketCount(val || 0);
|
||||
}}
|
||||
/>
|
||||
<Typography.Text className="label bucket-size-label">
|
||||
Bucket width
|
||||
</Typography.Text>
|
||||
<InputNumber
|
||||
value={bucketWidth || null}
|
||||
type="number"
|
||||
precision={2}
|
||||
placeholder="Default: Auto"
|
||||
step={0.1}
|
||||
min={0.0}
|
||||
rootClassName="bucket-input"
|
||||
onChange={(val): void => {
|
||||
setBucketWidth(val || 0);
|
||||
}}
|
||||
/>
|
||||
<section className="combine-hist">
|
||||
<Typography.Text className="label">
|
||||
Merge all series into one
|
||||
<SettingsSection title="Histogram / Buckets">
|
||||
<section className="bucket-config control-container">
|
||||
<Typography.Text className="section-heading">
|
||||
Number of buckets
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
checked={combineHistogram}
|
||||
size="small"
|
||||
onChange={(checked): void => setCombineHistogram(checked)}
|
||||
<InputNumber
|
||||
value={bucketCount || null}
|
||||
type="number"
|
||||
min={0}
|
||||
rootClassName="bucket-input"
|
||||
placeholder="Default: 30"
|
||||
onChange={(val): void => {
|
||||
setBucketCount(val || 0);
|
||||
}}
|
||||
/>
|
||||
<Typography.Text className="section-heading bucket-size-label">
|
||||
Bucket width
|
||||
</Typography.Text>
|
||||
<InputNumber
|
||||
value={bucketWidth || null}
|
||||
type="number"
|
||||
precision={2}
|
||||
placeholder="Default: Auto"
|
||||
step={0.1}
|
||||
min={0.0}
|
||||
rootClassName="bucket-input"
|
||||
onChange={(val): void => {
|
||||
setBucketWidth(val || 0);
|
||||
}}
|
||||
/>
|
||||
<section className="combine-hist">
|
||||
<Typography.Text className="section-heading">
|
||||
Merge all series into one
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
checked={combineHistogram}
|
||||
size="small"
|
||||
onChange={(checked): void => setCombineHistogram(checked)}
|
||||
/>
|
||||
</section>
|
||||
</section>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowLogScale && (
|
||||
<section className="log-scale">
|
||||
<Typography.Text className="typography">Y Axis Scale</Typography.Text>
|
||||
<Select
|
||||
onChange={(value): void => setIsLogScale(value === LogScale.LOGARITHMIC)}
|
||||
value={isLogScale ? LogScale.LOGARITHMIC : LogScale.LINEAR}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
defaultValue={LogScale.LINEAR}
|
||||
>
|
||||
<Option value={LogScale.LINEAR}>
|
||||
<div className="select-option">
|
||||
<div className="icon">
|
||||
<LineChart size={16} />
|
||||
</div>
|
||||
<Typography.Text className="display">Linear</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
<Option value={LogScale.LOGARITHMIC}>
|
||||
<div className="select-option">
|
||||
<div className="icon">
|
||||
<Spline size={16} />
|
||||
</div>
|
||||
<Typography.Text className="display">Logarithmic</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
</Select>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowLegendPosition && (
|
||||
<section className="legend-position">
|
||||
<Typography.Text className="typography">Legend Position</Typography.Text>
|
||||
<Select
|
||||
onChange={(value: LegendPosition): void => setLegendPosition(value)}
|
||||
value={legendPosition}
|
||||
style={{ width: '100%' }}
|
||||
className="panel-type-select"
|
||||
defaultValue={LegendPosition.BOTTOM}
|
||||
>
|
||||
<Option value={LegendPosition.BOTTOM}>
|
||||
<div className="select-option">
|
||||
<Typography.Text className="display">Bottom</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
<Option value={LegendPosition.RIGHT}>
|
||||
<div className="select-option">
|
||||
<Typography.Text className="display">Right</Typography.Text>
|
||||
</div>
|
||||
</Option>
|
||||
</Select>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{allowLegendColors && (
|
||||
<section className="legend-colors">
|
||||
<LegendColors
|
||||
customLegendColors={customLegendColors}
|
||||
setCustomLegendColors={setCustomLegendColors}
|
||||
queryResponse={queryResponse}
|
||||
/>
|
||||
</section>
|
||||
</SettingsSection>
|
||||
)}
|
||||
</section>
|
||||
|
||||
@@ -541,17 +661,25 @@ function RightContainer({
|
||||
)}
|
||||
|
||||
{allowContextLinks && (
|
||||
<section className="context-links">
|
||||
<SettingsSection
|
||||
title="Context Links"
|
||||
icon={<Link size={14} />}
|
||||
defaultOpen={!!contextLinks.linksData.length}
|
||||
>
|
||||
<ContextLinks
|
||||
contextLinks={contextLinks}
|
||||
setContextLinks={setContextLinks}
|
||||
selectedWidget={selectedWidget}
|
||||
/>
|
||||
</section>
|
||||
</SettingsSection>
|
||||
)}
|
||||
|
||||
{allowThreshold && (
|
||||
<section>
|
||||
<SettingsSection
|
||||
title="Thresholds"
|
||||
icon={<Antenna size={14} />}
|
||||
defaultOpen={!!thresholds.length}
|
||||
>
|
||||
<ThresholdSelector
|
||||
thresholds={thresholds}
|
||||
setThresholds={setThresholds}
|
||||
@@ -559,7 +687,7 @@ function RightContainer({
|
||||
selectedGraph={selectedGraph}
|
||||
columnUnits={columnUnits}
|
||||
/>
|
||||
</section>
|
||||
</SettingsSection>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
@@ -615,6 +743,14 @@ export interface RightContainerProps {
|
||||
setContextLinks: Dispatch<SetStateAction<ContextLinksData>>;
|
||||
enableDrillDown?: boolean;
|
||||
isNewDashboard: boolean;
|
||||
lineInterpolation: LineInterpolation;
|
||||
setLineInterpolation: Dispatch<SetStateAction<LineInterpolation>>;
|
||||
fillMode: FillMode;
|
||||
setFillMode: Dispatch<SetStateAction<FillMode>>;
|
||||
lineStyle: LineStyle;
|
||||
setLineStyle: Dispatch<SetStateAction<LineStyle>>;
|
||||
showPoints: boolean;
|
||||
setShowPoints: Dispatch<SetStateAction<boolean>>;
|
||||
}
|
||||
|
||||
RightContainer.defaultProps = {
|
||||
|
||||
@@ -36,7 +36,7 @@ const checkStackSeriesState = (
|
||||
expect(getByTextUtil(container, 'Stack series')).toBeInTheDocument();
|
||||
|
||||
const stackSeriesSection = container.querySelector(
|
||||
'section > .stack-chart',
|
||||
'.stack-chart',
|
||||
) as HTMLElement;
|
||||
expect(stackSeriesSection).toBeInTheDocument();
|
||||
|
||||
@@ -326,7 +326,7 @@ describe('Stacking bar in new panel', () => {
|
||||
expect(getByText('Stack series')).toBeInTheDocument();
|
||||
|
||||
// Verify section exists
|
||||
const section = container.querySelector('section > .stack-chart');
|
||||
const section = container.querySelector('.stack-chart');
|
||||
expect(section).toBeInTheDocument();
|
||||
|
||||
// Verify switch is present and enabled (ant-switch-checked)
|
||||
|
||||
@@ -30,10 +30,16 @@ import useUrlQuery from 'hooks/useUrlQuery';
|
||||
import createQueryParams from 'lib/createQueryParams';
|
||||
import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
|
||||
import { getDashboardVariables } from 'lib/dashboardVariables/getDashboardVariables';
|
||||
import {
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { cloneDeep, defaultTo, isEmpty, isUndefined } from 'lodash-es';
|
||||
import { Check, X } from 'lucide-react';
|
||||
import { DashboardWidgetPageParams } from 'pages/DashboardWidget';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { useScrollToWidgetIdStore } from 'providers/Dashboard/helpers/scrollToWidgetIdHelper';
|
||||
import {
|
||||
clearSelectedRowWidgetId,
|
||||
getSelectedRowWidgetId,
|
||||
@@ -86,10 +92,12 @@ function NewWidget({
|
||||
enableDrillDown = false,
|
||||
}: NewWidgetProps): JSX.Element {
|
||||
const { safeNavigate } = useSafeNavigate();
|
||||
const setToScrollWidgetId = useScrollToWidgetIdStore(
|
||||
(s) => s.setToScrollWidgetId,
|
||||
);
|
||||
const {
|
||||
selectedDashboard,
|
||||
setSelectedDashboard,
|
||||
setToScrollWidgetId,
|
||||
columnWidths,
|
||||
} = useDashboard();
|
||||
|
||||
@@ -208,6 +216,18 @@ function NewWidget({
|
||||
const [legendPosition, setLegendPosition] = useState<LegendPosition>(
|
||||
selectedWidget?.legendPosition || LegendPosition.BOTTOM,
|
||||
);
|
||||
const [lineInterpolation, setLineInterpolation] = useState<LineInterpolation>(
|
||||
selectedWidget?.lineInterpolation || LineInterpolation.Spline,
|
||||
);
|
||||
const [fillMode, setFillMode] = useState<FillMode>(
|
||||
selectedWidget?.fillMode || FillMode.None,
|
||||
);
|
||||
const [lineStyle, setLineStyle] = useState<LineStyle>(
|
||||
selectedWidget?.lineStyle || LineStyle.Solid,
|
||||
);
|
||||
const [showPoints, setShowPoints] = useState<boolean>(
|
||||
selectedWidget?.showPoints ?? false,
|
||||
);
|
||||
const [customLegendColors, setCustomLegendColors] = useState<
|
||||
Record<string, string>
|
||||
>(selectedWidget?.customLegendColors || {});
|
||||
@@ -273,6 +293,10 @@ function NewWidget({
|
||||
softMin,
|
||||
softMax,
|
||||
fillSpans: isFillSpans,
|
||||
lineInterpolation,
|
||||
fillMode,
|
||||
lineStyle,
|
||||
showPoints,
|
||||
columnUnits,
|
||||
bucketCount,
|
||||
stackedBarChart,
|
||||
@@ -309,6 +333,10 @@ function NewWidget({
|
||||
stackedBarChart,
|
||||
isLogScale,
|
||||
legendPosition,
|
||||
lineInterpolation,
|
||||
fillMode,
|
||||
lineStyle,
|
||||
showPoints,
|
||||
customLegendColors,
|
||||
columnWidths,
|
||||
contextLinks,
|
||||
@@ -833,6 +861,14 @@ function NewWidget({
|
||||
setDescription={setDescription}
|
||||
stackedBarChart={stackedBarChart}
|
||||
setStackedBarChart={setStackedBarChart}
|
||||
lineInterpolation={lineInterpolation}
|
||||
setLineInterpolation={setLineInterpolation}
|
||||
fillMode={fillMode}
|
||||
setFillMode={setFillMode}
|
||||
lineStyle={lineStyle}
|
||||
setLineStyle={setLineStyle}
|
||||
showPoints={showPoints}
|
||||
setShowPoints={setShowPoints}
|
||||
opacity={opacity}
|
||||
yAxisUnit={yAxisUnit}
|
||||
columnUnits={columnUnits}
|
||||
|
||||
@@ -1,180 +0,0 @@
|
||||
import { useCallback, useEffect, useMemo, useRef } from 'react';
|
||||
import { ToggleGraphProps } from 'components/Graph/types';
|
||||
import Uplot from 'components/Uplot';
|
||||
import GraphManager from 'container/GridCardLayout/GridCard/FullView/GraphManager';
|
||||
import { getLocalStorageGraphVisibilityState } from 'container/GridCardLayout/GridCard/utils';
|
||||
import { getUplotClickData } from 'container/QueryTable/Drilldown/drilldownUtils';
|
||||
import useGraphContextMenu from 'container/QueryTable/Drilldown/useGraphContextMenu';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
import { getUplotHistogramChartOptions } from 'lib/uPlotLib/getUplotHistogramChartOptions';
|
||||
import _noop from 'lodash-es/noop';
|
||||
import { ContextMenu, useCoordinates } from 'periscope/components/ContextMenu';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
|
||||
import { buildHistogramData } from './histogram';
|
||||
import { PanelWrapperProps } from './panelWrapper.types';
|
||||
|
||||
function HistogramPanelWrapper({
|
||||
queryResponse,
|
||||
widget,
|
||||
setGraphVisibility,
|
||||
graphVisibility,
|
||||
isFullViewMode,
|
||||
onToggleModelHandler,
|
||||
onClickHandler,
|
||||
enableDrillDown = false,
|
||||
}: PanelWrapperProps): JSX.Element {
|
||||
const graphRef = useRef<HTMLDivElement>(null);
|
||||
const legendScrollPositionRef = useRef<number>(0);
|
||||
const { toScrollWidgetId, setToScrollWidgetId } = useDashboard();
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const containerDimensions = useResizeObserver(graphRef);
|
||||
const {
|
||||
coordinates,
|
||||
popoverPosition,
|
||||
clickedData,
|
||||
onClose,
|
||||
onClick,
|
||||
subMenu,
|
||||
setSubMenu,
|
||||
} = useCoordinates();
|
||||
const { menuItemsConfig } = useGraphContextMenu({
|
||||
widgetId: widget.id || '',
|
||||
query: widget.query,
|
||||
graphData: clickedData,
|
||||
onClose,
|
||||
coordinates,
|
||||
subMenu,
|
||||
setSubMenu,
|
||||
contextLinks: widget.contextLinks,
|
||||
panelType: widget.panelTypes,
|
||||
queryRange: queryResponse,
|
||||
});
|
||||
|
||||
const clickHandlerWithContextMenu = useCallback(
|
||||
(...args: any[]) => {
|
||||
const [
|
||||
,
|
||||
,
|
||||
,
|
||||
,
|
||||
metric,
|
||||
queryData,
|
||||
absoluteMouseX,
|
||||
absoluteMouseY,
|
||||
,
|
||||
focusedSeries,
|
||||
] = args;
|
||||
const data = getUplotClickData({
|
||||
metric,
|
||||
queryData,
|
||||
absoluteMouseX,
|
||||
absoluteMouseY,
|
||||
focusedSeries,
|
||||
});
|
||||
if (data && data?.record?.queryName) {
|
||||
onClick(data.coord, { ...data.record, label: data.label });
|
||||
}
|
||||
},
|
||||
[onClick],
|
||||
);
|
||||
|
||||
const histogramData = buildHistogramData(
|
||||
queryResponse.data?.payload.data.result,
|
||||
widget?.bucketWidth,
|
||||
widget?.bucketCount,
|
||||
widget?.mergeAllActiveQueries,
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
if (toScrollWidgetId === widget.id) {
|
||||
graphRef.current?.scrollIntoView({
|
||||
behavior: 'smooth',
|
||||
block: 'center',
|
||||
});
|
||||
graphRef.current?.focus();
|
||||
setToScrollWidgetId('');
|
||||
}
|
||||
}, [toScrollWidgetId, setToScrollWidgetId, widget.id]);
|
||||
const lineChartRef = useRef<ToggleGraphProps>();
|
||||
|
||||
useEffect(() => {
|
||||
const {
|
||||
graphVisibilityStates: localStoredVisibilityState,
|
||||
} = getLocalStorageGraphVisibilityState({
|
||||
apiResponse: queryResponse.data?.payload.data.result || [],
|
||||
name: widget.id,
|
||||
});
|
||||
if (setGraphVisibility) {
|
||||
setGraphVisibility(localStoredVisibilityState);
|
||||
}
|
||||
}, [
|
||||
queryResponse?.data?.payload?.data?.result,
|
||||
setGraphVisibility,
|
||||
widget.id,
|
||||
]);
|
||||
|
||||
const histogramOptions = useMemo(
|
||||
() =>
|
||||
getUplotHistogramChartOptions({
|
||||
id: widget.id,
|
||||
dimensions: containerDimensions,
|
||||
isDarkMode,
|
||||
apiResponse: queryResponse.data?.payload,
|
||||
histogramData,
|
||||
panelType: widget.panelTypes,
|
||||
setGraphsVisibilityStates: setGraphVisibility,
|
||||
graphsVisibilityStates: graphVisibility,
|
||||
mergeAllQueries: widget.mergeAllActiveQueries,
|
||||
onClickHandler: enableDrillDown
|
||||
? clickHandlerWithContextMenu
|
||||
: onClickHandler ?? _noop,
|
||||
legendScrollPosition: legendScrollPositionRef.current,
|
||||
setLegendScrollPosition: (position: number) => {
|
||||
legendScrollPositionRef.current = position;
|
||||
},
|
||||
}),
|
||||
[
|
||||
containerDimensions,
|
||||
graphVisibility,
|
||||
histogramData,
|
||||
isDarkMode,
|
||||
queryResponse.data?.payload,
|
||||
setGraphVisibility,
|
||||
widget.id,
|
||||
widget.mergeAllActiveQueries,
|
||||
widget.panelTypes,
|
||||
clickHandlerWithContextMenu,
|
||||
enableDrillDown,
|
||||
onClickHandler,
|
||||
],
|
||||
);
|
||||
|
||||
return (
|
||||
<div style={{ height: '100%', width: '100%' }} ref={graphRef}>
|
||||
<Uplot options={histogramOptions} data={histogramData} ref={lineChartRef} />
|
||||
<ContextMenu
|
||||
coordinates={coordinates}
|
||||
popoverPosition={popoverPosition}
|
||||
title={menuItemsConfig.header as string}
|
||||
items={menuItemsConfig.items}
|
||||
onClose={onClose}
|
||||
/>
|
||||
{isFullViewMode && setGraphVisibility && !widget.mergeAllActiveQueries && (
|
||||
<GraphManager
|
||||
data={histogramData}
|
||||
name={widget.id}
|
||||
options={histogramOptions}
|
||||
yAxisUnit={widget.yAxisUnit}
|
||||
onToggleModelHandler={onToggleModelHandler}
|
||||
setGraphsVisibilityStates={setGraphVisibility}
|
||||
graphsVisibilityStates={graphVisibility}
|
||||
lineChartRef={lineChartRef}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default HistogramPanelWrapper;
|
||||
@@ -1,4 +0,0 @@
|
||||
.info-text {
|
||||
margin-top: 8px;
|
||||
padding: 8px;
|
||||
}
|
||||
@@ -1,318 +0,0 @@
|
||||
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
|
||||
import { Alert } from 'antd';
|
||||
import { ToggleGraphProps } from 'components/Graph/types';
|
||||
import Uplot from 'components/Uplot';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import GraphManager from 'container/GridCardLayout/GridCard/FullView/GraphManager';
|
||||
import { getLocalStorageGraphVisibilityState } from 'container/GridCardLayout/GridCard/utils';
|
||||
import { getUplotClickData } from 'container/QueryTable/Drilldown/drilldownUtils';
|
||||
import useGraphContextMenu from 'container/QueryTable/Drilldown/useGraphContextMenu';
|
||||
import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
|
||||
import { useIsDarkMode } from 'hooks/useDarkMode';
|
||||
import { useResizeObserver } from 'hooks/useDimensions';
|
||||
import { getUPlotChartOptions } from 'lib/uPlotLib/getUplotChartOptions';
|
||||
import { getUPlotChartData } from 'lib/uPlotLib/utils/getUplotChartData';
|
||||
import { cloneDeep, isEqual, isUndefined } from 'lodash-es';
|
||||
import _noop from 'lodash-es/noop';
|
||||
import { ContextMenu, useCoordinates } from 'periscope/components/ContextMenu';
|
||||
import { useDashboard } from 'providers/Dashboard/Dashboard';
|
||||
import { useTimezone } from 'providers/Timezone';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
import uPlot from 'uplot';
|
||||
import { getSortedSeriesData } from 'utils/getSortedSeriesData';
|
||||
import { getTimeRange } from 'utils/getTimeRange';
|
||||
|
||||
import { PanelWrapperProps } from './panelWrapper.types';
|
||||
import { getTimeRangeFromStepInterval, isApmMetric } from './utils';
|
||||
|
||||
import './UplotPanelWrapper.styles.scss';
|
||||
|
||||
function UplotPanelWrapper({
|
||||
queryResponse,
|
||||
widget,
|
||||
isFullViewMode,
|
||||
setGraphVisibility,
|
||||
graphVisibility,
|
||||
onToggleModelHandler,
|
||||
onClickHandler,
|
||||
onDragSelect,
|
||||
selectedGraph,
|
||||
customTooltipElement,
|
||||
customSeries,
|
||||
enableDrillDown = false,
|
||||
}: PanelWrapperProps): JSX.Element {
|
||||
const { toScrollWidgetId, setToScrollWidgetId } = useDashboard();
|
||||
const isDarkMode = useIsDarkMode();
|
||||
const lineChartRef = useRef<ToggleGraphProps>();
|
||||
const graphRef = useRef<HTMLDivElement>(null);
|
||||
const legendScrollPositionRef = useRef<{
|
||||
scrollTop: number;
|
||||
scrollLeft: number;
|
||||
}>({
|
||||
scrollTop: 0,
|
||||
scrollLeft: 0,
|
||||
});
|
||||
const [minTimeScale, setMinTimeScale] = useState<number>();
|
||||
const [maxTimeScale, setMaxTimeScale] = useState<number>();
|
||||
const { currentQuery } = useQueryBuilder();
|
||||
|
||||
const [hiddenGraph, setHiddenGraph] = useState<{ [key: string]: boolean }>();
|
||||
|
||||
useEffect(() => {
|
||||
if (toScrollWidgetId === widget.id) {
|
||||
graphRef.current?.scrollIntoView({
|
||||
behavior: 'smooth',
|
||||
block: 'center',
|
||||
});
|
||||
graphRef.current?.focus();
|
||||
setToScrollWidgetId('');
|
||||
}
|
||||
}, [toScrollWidgetId, setToScrollWidgetId, widget.id]);
|
||||
|
||||
useEffect((): void => {
|
||||
const { startTime, endTime } = getTimeRange(queryResponse);
|
||||
|
||||
setMinTimeScale(startTime);
|
||||
setMaxTimeScale(endTime);
|
||||
}, [queryResponse]);
|
||||
|
||||
const containerDimensions = useResizeObserver(graphRef);
|
||||
|
||||
const {
|
||||
coordinates,
|
||||
popoverPosition,
|
||||
clickedData,
|
||||
onClose,
|
||||
onClick,
|
||||
subMenu,
|
||||
setSubMenu,
|
||||
} = useCoordinates();
|
||||
const { menuItemsConfig } = useGraphContextMenu({
|
||||
widgetId: widget.id || '',
|
||||
query: widget.query,
|
||||
graphData: clickedData,
|
||||
onClose,
|
||||
coordinates,
|
||||
subMenu,
|
||||
setSubMenu,
|
||||
contextLinks: widget.contextLinks,
|
||||
panelType: widget.panelTypes,
|
||||
queryRange: queryResponse,
|
||||
});
|
||||
|
||||
useEffect(() => {
|
||||
const {
|
||||
graphVisibilityStates: localStoredVisibilityState,
|
||||
} = getLocalStorageGraphVisibilityState({
|
||||
apiResponse: queryResponse.data?.payload.data.result || [],
|
||||
name: widget.id,
|
||||
});
|
||||
if (setGraphVisibility) {
|
||||
setGraphVisibility(localStoredVisibilityState);
|
||||
}
|
||||
}, [
|
||||
queryResponse?.data?.payload?.data?.result,
|
||||
setGraphVisibility,
|
||||
widget.id,
|
||||
]);
|
||||
|
||||
if (queryResponse.data && widget.panelTypes === PANEL_TYPES.BAR) {
|
||||
const sortedSeriesData = getSortedSeriesData(
|
||||
queryResponse.data?.payload.data.result,
|
||||
);
|
||||
queryResponse.data.payload.data.result = sortedSeriesData;
|
||||
}
|
||||
|
||||
const stackedBarChart = useMemo(
|
||||
() =>
|
||||
(selectedGraph
|
||||
? selectedGraph === PANEL_TYPES.BAR
|
||||
: widget?.panelTypes === PANEL_TYPES.BAR) && widget?.stackedBarChart,
|
||||
[selectedGraph, widget?.panelTypes, widget?.stackedBarChart],
|
||||
);
|
||||
|
||||
const chartData = useMemo(
|
||||
() =>
|
||||
getUPlotChartData(
|
||||
queryResponse?.data?.payload,
|
||||
widget.fillSpans,
|
||||
stackedBarChart,
|
||||
hiddenGraph,
|
||||
),
|
||||
[
|
||||
queryResponse?.data?.payload,
|
||||
widget.fillSpans,
|
||||
stackedBarChart,
|
||||
hiddenGraph,
|
||||
],
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
if (widget.panelTypes === PANEL_TYPES.BAR && stackedBarChart) {
|
||||
const graphV = cloneDeep(graphVisibility)?.slice(1);
|
||||
const isSomeSelectedLegend = graphV?.some((v) => v === false);
|
||||
if (isSomeSelectedLegend) {
|
||||
const hiddenIndex = graphV?.findIndex((v) => v === true);
|
||||
if (!isUndefined(hiddenIndex) && hiddenIndex !== -1) {
|
||||
const updatedHiddenGraph = { [hiddenIndex]: true };
|
||||
if (!isEqual(hiddenGraph, updatedHiddenGraph)) {
|
||||
setHiddenGraph(updatedHiddenGraph);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}, [graphVisibility, hiddenGraph, widget.panelTypes, stackedBarChart]);
|
||||
|
||||
const { timezone } = useTimezone();
|
||||
|
||||
const clickHandlerWithContextMenu = useCallback(
|
||||
(...args: any[]) => {
|
||||
const [
|
||||
xValue,
|
||||
,
|
||||
,
|
||||
,
|
||||
metric,
|
||||
queryData,
|
||||
absoluteMouseX,
|
||||
absoluteMouseY,
|
||||
axesData,
|
||||
focusedSeries,
|
||||
] = args;
|
||||
const data = getUplotClickData({
|
||||
metric,
|
||||
queryData,
|
||||
absoluteMouseX,
|
||||
absoluteMouseY,
|
||||
focusedSeries,
|
||||
});
|
||||
// Compute time range if needed and if axes data is available
|
||||
let timeRange;
|
||||
if (axesData && queryData?.queryName) {
|
||||
// Get the compositeQuery from the response params
|
||||
const compositeQuery = (queryResponse?.data?.params as any)?.compositeQuery;
|
||||
|
||||
if (compositeQuery?.queries) {
|
||||
// Find the specific query by name from the queries array
|
||||
const specificQuery = compositeQuery.queries.find(
|
||||
(query: any) => query.spec?.name === queryData.queryName,
|
||||
);
|
||||
|
||||
// Use the stepInterval from the specific query, fallback to default
|
||||
const stepInterval = specificQuery?.spec?.stepInterval || 60;
|
||||
timeRange = getTimeRangeFromStepInterval(
|
||||
stepInterval,
|
||||
metric?.clickedTimestamp || xValue, // Use the clicked timestamp if available, otherwise use the click position timestamp
|
||||
specificQuery?.spec?.signal === DataSource.METRICS &&
|
||||
isApmMetric(specificQuery?.spec?.aggregations[0]?.metricName),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
if (data && data?.record?.queryName) {
|
||||
onClick(data.coord, { ...data.record, label: data.label, timeRange });
|
||||
}
|
||||
},
|
||||
[onClick, queryResponse],
|
||||
);
|
||||
|
||||
const options = useMemo(
|
||||
() =>
|
||||
getUPlotChartOptions({
|
||||
id: widget?.id,
|
||||
apiResponse: queryResponse.data?.payload,
|
||||
dimensions: containerDimensions,
|
||||
isDarkMode,
|
||||
onDragSelect,
|
||||
yAxisUnit: widget?.yAxisUnit,
|
||||
onClickHandler: enableDrillDown
|
||||
? clickHandlerWithContextMenu
|
||||
: onClickHandler ?? _noop,
|
||||
thresholds: widget.thresholds,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
softMax: widget.softMax === undefined ? null : widget.softMax,
|
||||
softMin: widget.softMin === undefined ? null : widget.softMin,
|
||||
graphsVisibilityStates: graphVisibility,
|
||||
setGraphsVisibilityStates: setGraphVisibility,
|
||||
panelType: selectedGraph || widget.panelTypes,
|
||||
currentQuery,
|
||||
stackBarChart: stackedBarChart,
|
||||
hiddenGraph,
|
||||
setHiddenGraph,
|
||||
customTooltipElement,
|
||||
tzDate: (timestamp: number) =>
|
||||
uPlot.tzDate(new Date(timestamp * 1e3), timezone.value),
|
||||
timezone: timezone.value,
|
||||
customSeries,
|
||||
isLogScale: widget?.isLogScale,
|
||||
colorMapping: widget?.customLegendColors,
|
||||
enhancedLegend: true, // Enable enhanced legend
|
||||
legendPosition: widget?.legendPosition,
|
||||
query: widget?.query || currentQuery,
|
||||
legendScrollPosition: legendScrollPositionRef.current,
|
||||
setLegendScrollPosition: (position: {
|
||||
scrollTop: number;
|
||||
scrollLeft: number;
|
||||
}) => {
|
||||
legendScrollPositionRef.current = position;
|
||||
},
|
||||
decimalPrecision: widget.decimalPrecision,
|
||||
}),
|
||||
[
|
||||
queryResponse.data?.payload,
|
||||
containerDimensions,
|
||||
isDarkMode,
|
||||
onDragSelect,
|
||||
clickHandlerWithContextMenu,
|
||||
minTimeScale,
|
||||
maxTimeScale,
|
||||
graphVisibility,
|
||||
setGraphVisibility,
|
||||
selectedGraph,
|
||||
currentQuery,
|
||||
hiddenGraph,
|
||||
customTooltipElement,
|
||||
timezone.value,
|
||||
customSeries,
|
||||
enableDrillDown,
|
||||
onClickHandler,
|
||||
widget,
|
||||
stackedBarChart,
|
||||
],
|
||||
);
|
||||
|
||||
return (
|
||||
<div style={{ height: '100%', width: '100%' }} ref={graphRef}>
|
||||
<Uplot options={options} data={chartData} ref={lineChartRef} />
|
||||
<ContextMenu
|
||||
coordinates={coordinates}
|
||||
popoverPosition={popoverPosition}
|
||||
title={menuItemsConfig.header as string}
|
||||
items={menuItemsConfig.items}
|
||||
onClose={onClose}
|
||||
/>
|
||||
{stackedBarChart && isFullViewMode && (
|
||||
<Alert
|
||||
message="Selecting multiple legends is currently not supported in case of stacked bar charts"
|
||||
type="info"
|
||||
className="info-text"
|
||||
/>
|
||||
)}
|
||||
{isFullViewMode && setGraphVisibility && !stackedBarChart && (
|
||||
<GraphManager
|
||||
data={chartData}
|
||||
name={widget.id}
|
||||
options={options}
|
||||
yAxisUnit={widget.yAxisUnit}
|
||||
onToggleModelHandler={onToggleModelHandler}
|
||||
setGraphsVisibilityStates={setGraphVisibility}
|
||||
graphsVisibilityStates={graphVisibility}
|
||||
lineChartRef={lineChartRef}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default UplotPanelWrapper;
|
||||
@@ -38,6 +38,7 @@ export const routeConfig: Record<string, QueryParams[]> = {
|
||||
[ROUTES.MY_SETTINGS]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.NOT_FOUND]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.ORG_SETTINGS]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.MEMBERS_SETTINGS]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.PASSWORD_RESET]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.SETTINGS]: [QueryParams.resourceAttributes],
|
||||
[ROUTES.SIGN_UP]: [QueryParams.resourceAttributes],
|
||||
|
||||
@@ -23,10 +23,10 @@ export default {
|
||||
relations: {
|
||||
assignee: ['role'],
|
||||
create: ['metaresources'],
|
||||
delete: ['user', 'role', 'organization', 'metaresource'],
|
||||
delete: ['user', 'serviceaccount', 'role', 'organization', 'metaresource'],
|
||||
list: ['metaresources'],
|
||||
read: ['user', 'role', 'organization', 'metaresource'],
|
||||
update: ['user', 'role', 'organization', 'metaresource'],
|
||||
read: ['user', 'serviceaccount', 'role', 'organization', 'metaresource'],
|
||||
update: ['user', 'serviceaccount', 'role', 'organization', 'metaresource'],
|
||||
},
|
||||
},
|
||||
} as const;
|
||||
|
||||
@@ -3,14 +3,15 @@ import { generateColor } from 'lib/uPlotLib/utils/generateColor';
|
||||
import { calculateWidthBasedOnStepInterval } from 'lib/uPlotV2/utils';
|
||||
import uPlot, { Series } from 'uplot';
|
||||
|
||||
import { generateGradientFill } from '../utils/generateGradientFill';
|
||||
import {
|
||||
BarAlignment,
|
||||
ConfigBuilder,
|
||||
DrawStyle,
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
SeriesProps,
|
||||
VisibilityMode,
|
||||
} from './types';
|
||||
|
||||
/**
|
||||
@@ -52,7 +53,7 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
}: {
|
||||
resolvedLineColor: string;
|
||||
}): Partial<Series> {
|
||||
const { lineWidth, lineStyle, lineCap, fillColor } = this.props;
|
||||
const { lineWidth, lineStyle, lineCap, fillColor, fillMode } = this.props;
|
||||
const lineConfig: Partial<Series> = {
|
||||
stroke: resolvedLineColor,
|
||||
width: lineWidth ?? DEFAULT_LINE_WIDTH,
|
||||
@@ -66,12 +67,19 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
lineConfig.cap = lineCap;
|
||||
}
|
||||
|
||||
if (fillColor) {
|
||||
lineConfig.fill = fillColor;
|
||||
} else if (this.props.drawStyle === DrawStyle.Bar) {
|
||||
lineConfig.fill = resolvedLineColor;
|
||||
const finalFillColor = fillColor ?? resolvedLineColor;
|
||||
|
||||
if (this.props.drawStyle === DrawStyle.Bar) {
|
||||
lineConfig.fill = finalFillColor;
|
||||
} else if (this.props.drawStyle === DrawStyle.Histogram) {
|
||||
lineConfig.fill = `${resolvedLineColor}40`;
|
||||
lineConfig.fill = `${finalFillColor}40`;
|
||||
} else if (fillMode && fillMode !== FillMode.None) {
|
||||
if (fillMode === FillMode.Solid) {
|
||||
lineConfig.fill = finalFillColor;
|
||||
} else if (fillMode === FillMode.Gradient) {
|
||||
lineConfig.fill = (self: uPlot): CanvasGradient =>
|
||||
generateGradientFill(self, finalFillColor, 'rgba(0, 0, 0, 0)');
|
||||
}
|
||||
}
|
||||
|
||||
return lineConfig;
|
||||
@@ -159,12 +167,8 @@ export class UPlotSeriesBuilder extends ConfigBuilder<SeriesProps, Series> {
|
||||
pointsConfig.show = pointsBuilder;
|
||||
} else if (drawStyle === DrawStyle.Points) {
|
||||
pointsConfig.show = true;
|
||||
} else if (showPoints === VisibilityMode.Never) {
|
||||
pointsConfig.show = false;
|
||||
} else if (showPoints === VisibilityMode.Always) {
|
||||
pointsConfig.show = true;
|
||||
} else {
|
||||
pointsConfig.show = false; // default to hidden
|
||||
pointsConfig.show = !!showPoints;
|
||||
}
|
||||
|
||||
return pointsConfig;
|
||||
|
||||
@@ -2,12 +2,7 @@ import { themeColors } from 'constants/theme';
|
||||
import uPlot from 'uplot';
|
||||
|
||||
import type { SeriesProps } from '../types';
|
||||
import {
|
||||
DrawStyle,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
VisibilityMode,
|
||||
} from '../types';
|
||||
import { DrawStyle, LineInterpolation, LineStyle } from '../types';
|
||||
import { POINT_SIZE_FACTOR, UPlotSeriesBuilder } from '../UPlotSeriesBuilder';
|
||||
|
||||
const createBaseProps = (
|
||||
@@ -168,17 +163,17 @@ describe('UPlotSeriesBuilder', () => {
|
||||
expect(config.points?.show).toBe(pointsBuilder);
|
||||
});
|
||||
|
||||
it('respects VisibilityMode for point visibility when no custom pointsBuilder is given', () => {
|
||||
it('respects showPoints for point visibility when no custom pointsBuilder is given', () => {
|
||||
const neverPointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
showPoints: VisibilityMode.Never,
|
||||
showPoints: false,
|
||||
}),
|
||||
);
|
||||
const alwaysPointsBuilder = new UPlotSeriesBuilder(
|
||||
createBaseProps({
|
||||
drawStyle: DrawStyle.Line,
|
||||
showPoints: VisibilityMode.Always,
|
||||
showPoints: true,
|
||||
}),
|
||||
);
|
||||
|
||||
|
||||
@@ -122,12 +122,6 @@ export enum LineInterpolation {
|
||||
StepBefore = 'stepBefore',
|
||||
}
|
||||
|
||||
export enum VisibilityMode {
|
||||
Always = 'always',
|
||||
Auto = 'auto',
|
||||
Never = 'never',
|
||||
}
|
||||
|
||||
/**
|
||||
* Props for configuring lines
|
||||
*/
|
||||
@@ -163,7 +157,13 @@ export interface BarConfig {
|
||||
export interface PointsConfig {
|
||||
pointColor?: string;
|
||||
pointSize?: number;
|
||||
showPoints?: VisibilityMode;
|
||||
showPoints?: boolean;
|
||||
}
|
||||
|
||||
export enum FillMode {
|
||||
Solid = 'solid',
|
||||
Gradient = 'gradient',
|
||||
None = 'none',
|
||||
}
|
||||
|
||||
export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
@@ -177,6 +177,7 @@ export interface SeriesProps extends LineConfig, PointsConfig, BarConfig {
|
||||
show?: boolean;
|
||||
spanGaps?: boolean;
|
||||
fillColor?: string;
|
||||
fillMode?: FillMode;
|
||||
isDarkMode?: boolean;
|
||||
stepInterval?: number;
|
||||
}
|
||||
|
||||
18
frontend/src/lib/uPlotV2/utils/generateGradientFill.ts
Normal file
18
frontend/src/lib/uPlotV2/utils/generateGradientFill.ts
Normal file
@@ -0,0 +1,18 @@
|
||||
import uPlot from 'uplot';
|
||||
|
||||
export function generateGradientFill(
|
||||
uPlotInstance: uPlot,
|
||||
startColor: string,
|
||||
endColor: string,
|
||||
): CanvasGradient {
|
||||
const g = uPlotInstance.ctx.createLinearGradient(
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
uPlotInstance.bbox.height,
|
||||
);
|
||||
g.addColorStop(0, startColor);
|
||||
g.addColorStop(0.4, startColor);
|
||||
g.addColorStop(1, endColor);
|
||||
return g;
|
||||
}
|
||||
@@ -63,6 +63,7 @@ function SettingsPage(): JSX.Element {
|
||||
isAdmin &&
|
||||
(item.key === ROUTES.BILLING ||
|
||||
item.key === ROUTES.ORG_SETTINGS ||
|
||||
item.key === ROUTES.MEMBERS_SETTINGS ||
|
||||
item.key === ROUTES.MY_SETTINGS ||
|
||||
item.key === ROUTES.SHORTCUTS)
|
||||
),
|
||||
|
||||
@@ -36,6 +36,7 @@ export const getRoutes = (
|
||||
if (isWorkspaceBlocked && isAdmin) {
|
||||
settings.push(
|
||||
...organizationSettings(t),
|
||||
...membersSettings(t),
|
||||
...mySettings(t),
|
||||
...billingSettings(t),
|
||||
...keyboardShortcuts(t),
|
||||
|
||||
@@ -75,8 +75,6 @@ export const DashboardContext = createContext<IDashboardContext>({
|
||||
setLayouts: () => {},
|
||||
setSelectedDashboard: () => {},
|
||||
updatedTimeRef: {} as React.MutableRefObject<Dayjs | null>,
|
||||
toScrollWidgetId: '',
|
||||
setToScrollWidgetId: () => {},
|
||||
updateLocalStorageDashboardVariables: () => {},
|
||||
dashboardQueryRangeCalled: false,
|
||||
setDashboardQueryRangeCalled: () => {},
|
||||
@@ -95,8 +93,6 @@ export function DashboardProvider({
|
||||
}: PropsWithChildren): JSX.Element {
|
||||
const [isDashboardSliderOpen, setIsDashboardSlider] = useState<boolean>(false);
|
||||
|
||||
const [toScrollWidgetId, setToScrollWidgetId] = useState<string>('');
|
||||
|
||||
const [isDashboardLocked, setIsDashboardLocked] = useState<boolean>(false);
|
||||
|
||||
const [
|
||||
@@ -443,7 +439,6 @@ export function DashboardProvider({
|
||||
|
||||
const value: IDashboardContext = useMemo(
|
||||
() => ({
|
||||
toScrollWidgetId,
|
||||
isDashboardSliderOpen,
|
||||
isDashboardLocked,
|
||||
handleToggleDashboardSlider,
|
||||
@@ -457,7 +452,6 @@ export function DashboardProvider({
|
||||
setPanelMap,
|
||||
setSelectedDashboard,
|
||||
updatedTimeRef,
|
||||
setToScrollWidgetId,
|
||||
updateLocalStorageDashboardVariables,
|
||||
dashboardQueryRangeCalled,
|
||||
setDashboardQueryRangeCalled,
|
||||
@@ -474,7 +468,6 @@ export function DashboardProvider({
|
||||
dashboardId,
|
||||
layouts,
|
||||
panelMap,
|
||||
toScrollWidgetId,
|
||||
updateLocalStorageDashboardVariables,
|
||||
currentDashboard,
|
||||
dashboardQueryRangeCalled,
|
||||
|
||||
@@ -0,0 +1,13 @@
|
||||
import { create } from 'zustand';
|
||||
|
||||
interface ScrollToWidgetIdState {
|
||||
toScrollWidgetId: string;
|
||||
setToScrollWidgetId: (widgetId: string) => void;
|
||||
}
|
||||
|
||||
export const useScrollToWidgetIdStore = create<ScrollToWidgetIdState>(
|
||||
(set) => ({
|
||||
toScrollWidgetId: '',
|
||||
setToScrollWidgetId: (widgetId): void => set({ toScrollWidgetId: widgetId }),
|
||||
}),
|
||||
);
|
||||
@@ -23,8 +23,6 @@ export interface IDashboardContext {
|
||||
React.SetStateAction<Dashboard | undefined>
|
||||
>;
|
||||
updatedTimeRef: React.MutableRefObject<dayjs.Dayjs | null>;
|
||||
toScrollWidgetId: string;
|
||||
setToScrollWidgetId: React.Dispatch<React.SetStateAction<string>>;
|
||||
updateLocalStorageDashboardVariables: (
|
||||
id: string,
|
||||
selectedValue:
|
||||
|
||||
@@ -5,6 +5,11 @@ import { PANEL_GROUP_TYPES, PANEL_TYPES } from 'constants/queryBuilder';
|
||||
import { ThresholdProps } from 'container/NewWidget/RightContainer/Threshold/types';
|
||||
import { timePreferenceType } from 'container/NewWidget/RightContainer/timeItems';
|
||||
import { QueryTableProps } from 'container/QueryTable/QueryTable.intefaces';
|
||||
import {
|
||||
FillMode,
|
||||
LineInterpolation,
|
||||
LineStyle,
|
||||
} from 'lib/uPlotV2/config/types';
|
||||
import { Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
|
||||
import { IField } from '../logs/fields';
|
||||
@@ -132,6 +137,10 @@ export interface IBaseWidget {
|
||||
legendPosition?: LegendPosition;
|
||||
customLegendColors?: Record<string, string>;
|
||||
contextLinks?: ContextLinksData;
|
||||
lineInterpolation?: LineInterpolation;
|
||||
showPoints?: boolean;
|
||||
lineStyle?: LineStyle;
|
||||
fillMode?: FillMode;
|
||||
}
|
||||
export interface Widgets extends IBaseWidget {
|
||||
query: Query;
|
||||
|
||||
9
frontend/src/utils/maskedKey.ts
Normal file
9
frontend/src/utils/maskedKey.ts
Normal file
@@ -0,0 +1,9 @@
|
||||
/**
|
||||
* Masks a key string, showing only the first 2 and last 2 characters.
|
||||
*/
|
||||
export function getMaskedKey(key: string): string {
|
||||
if (!key || key.length < 4) {
|
||||
return key || 'N/A';
|
||||
}
|
||||
return `${key.substring(0, 2)}·······${key.slice(-2).trim()}`;
|
||||
}
|
||||
@@ -5646,7 +5646,7 @@
|
||||
tailwind-merge "^2.5.2"
|
||||
tailwindcss-animate "^1.0.7"
|
||||
|
||||
"@signozhq/toggle-group@^0.0.1":
|
||||
"@signozhq/toggle-group@0.0.1":
|
||||
version "0.0.1"
|
||||
resolved "https://registry.yarnpkg.com/@signozhq/toggle-group/-/toggle-group-0.0.1.tgz#c82ff1da34e77b24da53c2d595ad6b4a0d1b1de4"
|
||||
integrity sha512-871bQayL5MaqsuNOFHKexidu9W2Hlg1y4xmH8C5mGmlfZ4bd0ovJ9OweQrM6Puys3jeMwi69xmJuesYCfKQc1g==
|
||||
|
||||
@@ -72,7 +72,7 @@ func (service *Service) SyncServers(ctx context.Context) error {
|
||||
|
||||
service.serversMtx.Lock()
|
||||
for _, org := range orgs {
|
||||
config, err := service.getConfig(ctx, org.ID.StringValue())
|
||||
config, _, err := service.getConfig(ctx, org.ID.StringValue())
|
||||
if err != nil {
|
||||
service.settings.Logger().ErrorContext(ctx, "failed to get alertmanager config for org", "org_id", org.ID.StringValue(), "error", err)
|
||||
continue
|
||||
@@ -171,7 +171,7 @@ func (service *Service) Stop(ctx context.Context) error {
|
||||
}
|
||||
|
||||
func (service *Service) newServer(ctx context.Context, orgID string) (*alertmanagerserver.Server, error) {
|
||||
config, err := service.getConfig(ctx, orgID)
|
||||
config, storedHash, err := service.getConfig(ctx, orgID)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
@@ -181,13 +181,16 @@ func (service *Service) newServer(ctx context.Context, orgID string) (*alertmana
|
||||
return nil, err
|
||||
}
|
||||
|
||||
beforeCompareAndSelectHash := config.StoreableConfig().Hash
|
||||
config, err = service.compareAndSelectConfig(ctx, config)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if beforeCompareAndSelectHash == config.StoreableConfig().Hash {
|
||||
// compare against the hash of the config stored in the DB (before overlays
|
||||
// were applied by getConfig). This ensures that overlay changes (e.g. new
|
||||
// defaults from an upstream upgrade or something similar) trigger a DB update
|
||||
// so that other code paths reading directly from the store see the up-to-date config.
|
||||
if storedHash == config.StoreableConfig().Hash {
|
||||
service.settings.Logger().DebugContext(ctx, "skipping config store update for org", "org_id", orgID, "hash", config.StoreableConfig().Hash)
|
||||
return server, nil
|
||||
}
|
||||
@@ -200,27 +203,33 @@ func (service *Service) newServer(ctx context.Context, orgID string) (*alertmana
|
||||
return server, nil
|
||||
}
|
||||
|
||||
func (service *Service) getConfig(ctx context.Context, orgID string) (*alertmanagertypes.Config, error) {
|
||||
// getConfig returns the config for the given orgID with overlays applied, along
|
||||
// with the hash that was stored in the DB before overlays. When no config exists
|
||||
// in the store yet the stored hash is empty.
|
||||
func (service *Service) getConfig(ctx context.Context, orgID string) (*alertmanagertypes.Config, string, error) {
|
||||
config, err := service.configStore.Get(ctx, orgID)
|
||||
var storedHash string
|
||||
if err != nil {
|
||||
if !errors.Ast(err, errors.TypeNotFound) {
|
||||
return nil, err
|
||||
return nil, "", err
|
||||
}
|
||||
|
||||
config, err = alertmanagertypes.NewDefaultConfig(service.config.Global, service.config.Route, orgID)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
return nil, "", err
|
||||
}
|
||||
} else {
|
||||
storedHash = config.StoreableConfig().Hash
|
||||
}
|
||||
|
||||
if err := config.SetGlobalConfig(service.config.Global); err != nil {
|
||||
return nil, err
|
||||
return nil, "", err
|
||||
}
|
||||
if err := config.SetRouteConfig(service.config.Route); err != nil {
|
||||
return nil, err
|
||||
return nil, "", err
|
||||
}
|
||||
|
||||
return config, nil
|
||||
return config, storedHash, nil
|
||||
}
|
||||
|
||||
func (service *Service) compareAndSelectConfig(ctx context.Context, incomingConfig *alertmanagertypes.Config) (*alertmanagertypes.Config, error) {
|
||||
|
||||
@@ -2,9 +2,11 @@ module base
|
||||
|
||||
type user
|
||||
|
||||
type serviceaccount
|
||||
|
||||
type role
|
||||
relations
|
||||
define assignee: [user]
|
||||
define assignee: [user, serviceaccount]
|
||||
|
||||
type organisation
|
||||
relations
|
||||
|
||||
@@ -33,7 +33,7 @@ func (module *module) Create(ctx context.Context, orgID valuer.UUID, serviceAcco
|
||||
}
|
||||
|
||||
// authz actions cannot run in sql transactions
|
||||
err = module.authz.Grant(ctx, orgID, serviceAccount.Roles, authtypes.MustNewSubject(authtypes.TypeableUser, serviceAccount.ID.String(), orgID, nil))
|
||||
err = module.authz.Grant(ctx, orgID, serviceAccount.Roles, authtypes.MustNewSubject(authtypes.TypeableServiceAccount, serviceAccount.ID.String(), orgID, nil))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -138,7 +138,7 @@ func (module *module) Update(ctx context.Context, orgID valuer.UUID, input *serv
|
||||
|
||||
// gets the role diff if any to modify grants.
|
||||
grants, revokes := serviceAccount.PatchRoles(input)
|
||||
err = module.authz.ModifyGrant(ctx, orgID, revokes, grants, authtypes.MustNewSubject(authtypes.TypeableUser, serviceAccount.ID.String(), orgID, nil))
|
||||
err = module.authz.ModifyGrant(ctx, orgID, revokes, grants, authtypes.MustNewSubject(authtypes.TypeableServiceAccount, serviceAccount.ID.String(), orgID, nil))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -203,7 +203,7 @@ func (module *module) Delete(ctx context.Context, orgID valuer.UUID, id valuer.U
|
||||
}
|
||||
|
||||
// revoke from authz first as this cannot run in sql transaction
|
||||
err = module.authz.Revoke(ctx, orgID, serviceAccount.Roles, authtypes.MustNewSubject(authtypes.TypeableUser, serviceAccount.ID.String(), orgID, nil))
|
||||
err = module.authz.Revoke(ctx, orgID, serviceAccount.Roles, authtypes.MustNewSubject(authtypes.TypeableServiceAccount, serviceAccount.ID.String(), orgID, nil))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -309,7 +309,7 @@ func (module *module) RevokeFactorAPIKey(ctx context.Context, serviceAccountID v
|
||||
}
|
||||
|
||||
func (module *module) disableServiceAccount(ctx context.Context, orgID valuer.UUID, input *serviceaccounttypes.ServiceAccount) error {
|
||||
err := module.authz.Revoke(ctx, orgID, input.Roles, authtypes.MustNewSubject(authtypes.TypeableUser, input.ID.String(), orgID, nil))
|
||||
err := module.authz.Revoke(ctx, orgID, input.Roles, authtypes.MustNewSubject(authtypes.TypeableServiceAccount, input.ID.String(), orgID, nil))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -337,7 +337,7 @@ func (module *module) disableServiceAccount(ctx context.Context, orgID valuer.UU
|
||||
}
|
||||
|
||||
func (module *module) activateServiceAccount(ctx context.Context, orgID valuer.UUID, input *serviceaccounttypes.ServiceAccount) error {
|
||||
err := module.authz.Grant(ctx, orgID, input.Roles, authtypes.MustNewSubject(authtypes.TypeableUser, input.ID.String(), orgID, nil))
|
||||
err := module.authz.Grant(ctx, orgID, input.Roles, authtypes.MustNewSubject(authtypes.TypeableServiceAccount, input.ID.String(), orgID, nil))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
@@ -69,7 +69,6 @@ func readAsTimeSeries(rows driver.Rows, queryWindow *qbtypes.TimeRange, step qbt
|
||||
key string // deterministic join of label values
|
||||
}
|
||||
seriesMap := map[sKey]*qbtypes.TimeSeries{}
|
||||
var keyOrder []sKey // preserves ClickHouse row-arrival order
|
||||
|
||||
stepMs := uint64(step.Duration.Milliseconds())
|
||||
|
||||
@@ -220,7 +219,6 @@ func readAsTimeSeries(rows driver.Rows, queryWindow *qbtypes.TimeRange, step qbt
|
||||
if !ok {
|
||||
series = &qbtypes.TimeSeries{Labels: lblObjs}
|
||||
seriesMap[key] = series
|
||||
keyOrder = append(keyOrder, key)
|
||||
}
|
||||
series.Values = append(series.Values, &qbtypes.TimeSeriesValue{
|
||||
Timestamp: ts,
|
||||
@@ -252,8 +250,8 @@ func readAsTimeSeries(rows driver.Rows, queryWindow *qbtypes.TimeRange, step qbt
|
||||
Alias: "__result_" + strconv.Itoa(i),
|
||||
}
|
||||
}
|
||||
for _, k := range keyOrder {
|
||||
buckets[k.agg].Series = append(buckets[k.agg].Series, seriesMap[k])
|
||||
for k, s := range seriesMap {
|
||||
buckets[k.agg].Series = append(buckets[k.agg].Series, s)
|
||||
}
|
||||
|
||||
var nonEmpty []*qbtypes.AggregationBucket
|
||||
|
||||
@@ -185,6 +185,22 @@ func postProcessMetricQuery(
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
req *qbtypes.QueryRangeRequest,
|
||||
) *qbtypes.Result {
|
||||
|
||||
config := query.Aggregations[0]
|
||||
spaceAggOrderBy := fmt.Sprintf("%s(%s)", config.SpaceAggregation.StringValue(), config.MetricName)
|
||||
timeAggOrderBy := fmt.Sprintf("%s(%s)", config.TimeAggregation.StringValue(), config.MetricName)
|
||||
timeSpaceAggOrderBy := fmt.Sprintf("%s(%s(%s))", config.SpaceAggregation.StringValue(), config.TimeAggregation.StringValue(), config.MetricName)
|
||||
|
||||
for idx := range query.Order {
|
||||
if query.Order[idx].Key.Name == spaceAggOrderBy ||
|
||||
query.Order[idx].Key.Name == timeAggOrderBy ||
|
||||
query.Order[idx].Key.Name == timeSpaceAggOrderBy {
|
||||
query.Order[idx].Key.Name = qbtypes.DefaultOrderByKey
|
||||
}
|
||||
}
|
||||
|
||||
result = q.applySeriesLimit(result, query.Limit, query.Order)
|
||||
|
||||
if len(query.Functions) > 0 {
|
||||
step := query.StepInterval.Duration.Milliseconds()
|
||||
functions := q.prepareFillZeroArgsWithStep(query.Functions, req, step)
|
||||
|
||||
@@ -132,14 +132,6 @@ func GroupByKeys(keys []qbtypes.GroupByKey) []string {
|
||||
return k
|
||||
}
|
||||
|
||||
func OrderByKeys(keys []qbtypes.OrderBy) []string {
|
||||
k := []string{}
|
||||
for _, key := range keys {
|
||||
k = append(k, "`"+key.Key.Name+"`")
|
||||
}
|
||||
return k
|
||||
}
|
||||
|
||||
func FormatValueForContains(value any) string {
|
||||
if value == nil {
|
||||
return ""
|
||||
|
||||
@@ -51,7 +51,7 @@ func TestStatementBuilder(t *testing.T) {
|
||||
},
|
||||
},
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, max(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, max(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747785600000), uint64(1747983420000), "cartservice", "cumulative", 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
@@ -84,7 +84,7 @@ func TestStatementBuilder(t *testing.T) {
|
||||
},
|
||||
},
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta"},
|
||||
},
|
||||
expectedErr: nil,
|
||||
@@ -117,7 +117,7 @@ func TestStatementBuilder(t *testing.T) {
|
||||
},
|
||||
},
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `service.name`, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `service.name`, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta", 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
@@ -150,7 +150,7 @@ func TestStatementBuilder(t *testing.T) {
|
||||
},
|
||||
},
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'host.name') AS `host.name`, avg(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'host.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte WHERE (`host.name`) IN (SELECT `host.name` FROM __spatial_aggregation_cte GROUP BY `host.name` ORDER BY avg(value) LIMIT 10) ORDER BY `host.name`, ts ASC",
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'host.name') AS `host.name`, avg(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'host.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `host.name`, ts",
|
||||
Args: []any{"system.memory.usage", uint64(1747872000000), uint64(1747983420000), "big-data-node-1", "unspecified", 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
|
||||
@@ -4,7 +4,6 @@ import (
|
||||
"context"
|
||||
"fmt"
|
||||
"log/slog"
|
||||
"strings"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/factory"
|
||||
"github.com/SigNoz/signoz/pkg/flagger"
|
||||
@@ -547,16 +546,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
|
||||
) (*qbtypes.Statement, error) {
|
||||
metricType := query.Aggregations[0].Type
|
||||
spaceAgg := query.Aggregations[0].SpaceAggregation
|
||||
finalCTE := "__spatial_aggregation_cte"
|
||||
if metricType == metrictypes.HistogramType {
|
||||
histogramCTE, histogramCTEArgs, err := b.buildHistogramCTE(query)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
cteFragments = append(cteFragments, histogramCTE)
|
||||
cteArgs = append(cteArgs, histogramCTEArgs)
|
||||
finalCTE = "__histogram_cte"
|
||||
}
|
||||
|
||||
combined := querybuilder.CombineCTEs(cteFragments)
|
||||
|
||||
@@ -566,90 +555,60 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
|
||||
}
|
||||
|
||||
sb := sqlbuilder.NewSelectBuilder()
|
||||
sb.Select("*")
|
||||
sb.From(finalCTE)
|
||||
if query.Having != nil && query.Having.Expression != "" {
|
||||
rewriter := querybuilder.NewHavingExpressionRewriter()
|
||||
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
|
||||
sb.Where(rewrittenExpr)
|
||||
}
|
||||
|
||||
groupByKeys := querybuilder.GroupByKeys(query.GroupBy)
|
||||
hasOrder := len(query.Order) > 0
|
||||
hasLimit := query.Limit > 0
|
||||
hasGroupBy := len(groupByKeys) > 0
|
||||
|
||||
if !hasGroupBy {
|
||||
// do nothing, limits and orders don't mean anything
|
||||
} else if hasOrder && hasLimit {
|
||||
labelSelectorSubQueryBuilder := sqlbuilder.NewSelectBuilder()
|
||||
labelSelectorSubQueryBuilder.Select(groupByKeys...)
|
||||
labelSelectorSubQueryBuilder.From(finalCTE)
|
||||
labelSelectorOrderClauses := []string{}
|
||||
for _, o := range query.Order {
|
||||
key := o.Key.Name
|
||||
var clause string
|
||||
if strings.Contains(key, query.Aggregations[0].MetricName) {
|
||||
clause = fmt.Sprintf("avg(value) %s", o.Direction.StringValue())
|
||||
} else {
|
||||
clause = fmt.Sprintf("`%s` %s", key, o.Direction.StringValue())
|
||||
}
|
||||
labelSelectorOrderClauses = append(labelSelectorOrderClauses, clause)
|
||||
if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
|
||||
quantile := query.Aggregations[0].SpaceAggregation.Percentile()
|
||||
sb.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
labelSelectorSubQueryBuilder.GroupBy(groupByKeys...)
|
||||
labelSelectorSubQueryBuilder.OrderBy(labelSelectorOrderClauses...)
|
||||
labelSelectorSubQuery, _ := labelSelectorSubQueryBuilder.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
labelSelectorSubQuery = fmt.Sprintf("%s LIMIT %d", labelSelectorSubQuery, query.Limit)
|
||||
|
||||
sb.Where(fmt.Sprintf("(%s) IN (%s)", strings.Join(groupByKeys, ", "), labelSelectorSubQuery))
|
||||
for _, o := range query.Order {
|
||||
key := o.Key.Name
|
||||
var clause string
|
||||
if strings.Contains(key, query.Aggregations[0].MetricName) {
|
||||
clause = fmt.Sprintf("avg(value) OVER (PARTITION BY %s) %s", strings.Join(groupByKeys, ", "), o.Direction.StringValue())
|
||||
} else {
|
||||
clause = fmt.Sprintf("`%s` %s", key, o.Direction.StringValue())
|
||||
}
|
||||
sb.OrderBy(clause)
|
||||
sb.SelectMore(fmt.Sprintf(
|
||||
"histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), %.3f) AS value",
|
||||
quantile,
|
||||
))
|
||||
sb.From("__spatial_aggregation_cte")
|
||||
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
sb.GroupBy("ts")
|
||||
if query.Having != nil && query.Having.Expression != "" {
|
||||
rewriter := querybuilder.NewHavingExpressionRewriter()
|
||||
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
|
||||
sb.Having(rewrittenExpr)
|
||||
}
|
||||
} else if hasOrder {
|
||||
// order by without limit: apply order by clauses directly
|
||||
for _, o := range query.Order {
|
||||
key := o.Key.Name
|
||||
if strings.Contains(key, query.Aggregations[0].MetricName) {
|
||||
sb.OrderBy(fmt.Sprintf("avg(value) OVER (PARTITION BY %s) %s", strings.Join(groupByKeys, ", "), o.Direction.StringValue()))
|
||||
continue
|
||||
}
|
||||
sb.OrderBy(fmt.Sprintf("`%s` %s", o.Key.Name, o.Direction.StringValue()))
|
||||
}
|
||||
} else if hasLimit {
|
||||
labelSelectorSubQueryBuilder := sqlbuilder.NewSelectBuilder()
|
||||
labelSelectorSubQueryBuilder.Select(groupByKeys...).Distinct()
|
||||
labelSelectorSubQueryBuilder.From(finalCTE)
|
||||
labelSelectorSubQueryBuilder.GroupBy(groupByKeys...)
|
||||
labelSelectorSubQueryBuilder.OrderBy("avg(value) DESC")
|
||||
labelSelectorSubQuery, _ := labelSelectorSubQueryBuilder.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
labelSelectorSubQuery = fmt.Sprintf("%s LIMIT %d", labelSelectorSubQuery, query.Limit)
|
||||
} else if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam != nil {
|
||||
sb.Select("ts")
|
||||
|
||||
sb.Where(fmt.Sprintf("(%s) IN (%s)", strings.Join(groupByKeys, ", "), labelSelectorSubQuery))
|
||||
sb.OrderBy(fmt.Sprintf("avg(value) OVER (PARTITION BY %s) DESC", strings.Join(groupByKeys, ", ")))
|
||||
for _, g := range query.GroupBy {
|
||||
sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
|
||||
aggQuery, err := AggregationQueryForHistogramCountWithParams(query.Aggregations[0].ComparisonSpaceAggregationParam)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
sb.SelectMore(aggQuery)
|
||||
|
||||
sb.From("__spatial_aggregation_cte")
|
||||
|
||||
sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
sb.GroupBy("ts")
|
||||
|
||||
if query.Having != nil && query.Having.Expression != "" {
|
||||
rewriter := querybuilder.NewHavingExpressionRewriter()
|
||||
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
|
||||
sb.Having(rewrittenExpr)
|
||||
}
|
||||
} else {
|
||||
// grouping without order by or limit: sort by avg(value) DESC with labels as tiebreakers
|
||||
sb.OrderBy(fmt.Sprintf("avg(value) OVER (PARTITION BY %s) DESC", strings.Join(groupByKeys, ", ")))
|
||||
}
|
||||
|
||||
// add any group-by keys not already in the order-by as tiebreakers
|
||||
orderKeySet := make(map[string]struct{})
|
||||
for _, o := range query.Order {
|
||||
orderKeySet[fmt.Sprintf("`%s`", o.Key.Name)] = struct{}{}
|
||||
}
|
||||
for _, g := range groupByKeys {
|
||||
if _, exists := orderKeySet[g]; !exists {
|
||||
sb.OrderBy(g)
|
||||
// for count aggregation on histograms with no params, the exact result of spatial aggregation can be sent forward
|
||||
sb.Select("*")
|
||||
sb.From("__spatial_aggregation_cte")
|
||||
if query.Having != nil && query.Having.Expression != "" {
|
||||
rewriter := querybuilder.NewHavingExpressionRewriter()
|
||||
rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
|
||||
sb.Where(rewrittenExpr)
|
||||
}
|
||||
}
|
||||
|
||||
sb.OrderBy("ts ASC")
|
||||
sb.OrderBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
sb.OrderBy("ts")
|
||||
if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam == nil {
|
||||
sb.OrderBy("toFloat64(le)")
|
||||
}
|
||||
@@ -657,45 +616,3 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
|
||||
q, a := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
return &qbtypes.Statement{Query: combined + q, Args: append(args, a...)}, nil
|
||||
}
|
||||
|
||||
func (b *MetricQueryStatementBuilder) buildHistogramCTE(
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
|
||||
) (string, []any, error) {
|
||||
spaceAgg := query.Aggregations[0].SpaceAggregation
|
||||
histogramCTEQueryBuilder := sqlbuilder.NewSelectBuilder()
|
||||
if spaceAgg.IsPercentile() {
|
||||
histogramCTEQueryBuilder.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
histogramCTEQueryBuilder.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
quantile := spaceAgg.Percentile()
|
||||
histogramCTEQueryBuilder.SelectMore(fmt.Sprintf(
|
||||
"histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), %.3f) AS value",
|
||||
quantile,
|
||||
))
|
||||
histogramCTEQueryBuilder.From("__spatial_aggregation_cte")
|
||||
histogramCTEQueryBuilder.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
histogramCTEQueryBuilder.GroupBy("ts")
|
||||
} else if spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam != nil {
|
||||
histogramCTEQueryBuilder.Select("ts")
|
||||
for _, g := range query.GroupBy {
|
||||
histogramCTEQueryBuilder.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
|
||||
}
|
||||
aggQuery, err := AggregationQueryForHistogramCountWithParams(query.Aggregations[0].ComparisonSpaceAggregationParam)
|
||||
if err != nil {
|
||||
return "", nil, err
|
||||
}
|
||||
histogramCTEQueryBuilder.SelectMore(aggQuery)
|
||||
histogramCTEQueryBuilder.From("__spatial_aggregation_cte")
|
||||
histogramCTEQueryBuilder.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
|
||||
histogramCTEQueryBuilder.GroupBy("ts")
|
||||
} else {
|
||||
// for count aggregation on histograms with no params, the exact result of spatial aggregation can be sent forward
|
||||
histogramCTEQueryBuilder.Select("*")
|
||||
histogramCTEQueryBuilder.From("__spatial_aggregation_cte")
|
||||
}
|
||||
histogramQueryCTE, histogramQueryCTEArgs := histogramCTEQueryBuilder.BuildWithFlavor(sqlbuilder.ClickHouse)
|
||||
histogramCTE := fmt.Sprintf("__histogram_cte AS (%s)", histogramQueryCTE)
|
||||
|
||||
return histogramCTE, histogramQueryCTEArgs, nil
|
||||
}
|
||||
|
||||
@@ -15,17 +15,16 @@ import (
|
||||
)
|
||||
|
||||
func TestStatementBuilder(t *testing.T) {
|
||||
type baseQuery struct {
|
||||
name string
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]
|
||||
orderKey string
|
||||
args []any
|
||||
cte string
|
||||
}
|
||||
|
||||
bases := []baseQuery{
|
||||
cases := []struct {
|
||||
name string
|
||||
requestType qbtypes.RequestType
|
||||
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]
|
||||
expected qbtypes.Statement
|
||||
expectedErr error
|
||||
}{
|
||||
{
|
||||
name: "cumulative_rate_sum",
|
||||
name: "test_cumulative_rate_sum",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -41,16 +40,24 @@ func TestStatementBuilder(t *testing.T) {
|
||||
Filter: &qbtypes.Filter{
|
||||
Expression: "service.name = 'cartservice'",
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "service.name",
|
||||
args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
cte: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
{
|
||||
name: "cumulative_rate_sum_with_mat_column",
|
||||
name: "test_cumulative_rate_sum_with_mat_column",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -66,16 +73,24 @@ func TestStatementBuilder(t *testing.T) {
|
||||
Filter: &qbtypes.Filter{
|
||||
Expression: "materialized.key.name REGEXP 'cartservice' OR service.name = 'cartservice'",
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "service.name",
|
||||
args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
cte: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND (match(JSONExtractString(labels, 'materialized.key.name'), ?) OR JSONExtractString(labels, 'service.name') = ?) GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND (match(JSONExtractString(labels, 'materialized.key.name'), ?) OR JSONExtractString(labels, 'service.name') = ?) GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
{
|
||||
name: "delta_rate_sum",
|
||||
name: "test_delta_rate_sum",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -91,16 +106,24 @@ func TestStatementBuilder(t *testing.T) {
|
||||
Filter: &qbtypes.Filter{
|
||||
Expression: "service.name = 'cartservice'",
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "service.name",
|
||||
args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_calls_total", uint64(1747947390000), uint64(1747983420000)},
|
||||
cte: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_calls_total", uint64(1747947390000), uint64(1747983420000)},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
{
|
||||
name: "histogram_percentile1",
|
||||
name: "test_histogram_percentile1",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -116,16 +139,24 @@ func TestStatementBuilder(t *testing.T) {
|
||||
Filter: &qbtypes.Filter{
|
||||
Expression: "service.name = 'cartservice'",
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "service.name",
|
||||
args: []any{"signoz_latency", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_latency", uint64(1747947390000), uint64(1747983420000)},
|
||||
cte: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name`, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`, `le`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name`, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`, `le`) SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY `service.name`, ts",
|
||||
Args: []any{"signoz_latency", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_latency", uint64(1747947390000), uint64(1747983420000)},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
{
|
||||
name: "gauge_avg_sum",
|
||||
name: "test_gauge_avg_sum",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -141,16 +172,24 @@ func TestStatementBuilder(t *testing.T) {
|
||||
Filter: &qbtypes.Filter{
|
||||
Expression: "host.name = 'big-data-node-1'",
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "host.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "host.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "host.name",
|
||||
args: []any{"system.memory.usage", uint64(1747936800000), uint64(1747983420000), "unspecified", false, "big-data-node-1", "system.memory.usage", uint64(1747947390000), uint64(1747983420000), 0},
|
||||
cte: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `host.name`, avg(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'host.name') AS `host.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint, `host.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `host.name`, avg(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'host.name') AS `host.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint, `host.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `host.name`, ts",
|
||||
Args: []any{"system.memory.usage", uint64(1747936800000), uint64(1747983420000), "unspecified", false, "big-data-node-1", "system.memory.usage", uint64(1747947390000), uint64(1747983420000), 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
{
|
||||
name: "histogram_percentile2",
|
||||
name: "test_histogram_percentile2",
|
||||
requestType: qbtypes.RequestTypeTimeSeries,
|
||||
query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
|
||||
Signal: telemetrytypes.SignalMetrics,
|
||||
StepInterval: qbtypes.Step{Duration: 30 * time.Second},
|
||||
@@ -163,69 +202,23 @@ func TestStatementBuilder(t *testing.T) {
|
||||
SpaceAggregation: metrictypes.SpaceAggregationPercentile95,
|
||||
},
|
||||
},
|
||||
Limit: 10,
|
||||
GroupBy: []qbtypes.GroupByKey{
|
||||
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
|
||||
{
|
||||
TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
orderKey: "service.name",
|
||||
args: []any{"http_server_duration_bucket", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "http_server_duration_bucket", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
cte: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name`, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `service.name`, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name`, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`, `le`)",
|
||||
expected: qbtypes.Statement{
|
||||
Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name`, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `service.name`, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name`, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`, `le`) SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY `service.name`, ts",
|
||||
Args: []any{"http_server_duration_bucket", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "http_server_duration_bucket", uint64(1747947360000), uint64(1747983420000), 0},
|
||||
},
|
||||
expectedErr: nil,
|
||||
},
|
||||
}
|
||||
|
||||
type variant struct {
|
||||
name string
|
||||
limit int
|
||||
hasOrder bool
|
||||
}
|
||||
|
||||
variants := []variant{
|
||||
{"with_limits", 10, false},
|
||||
{"without_limits", 0, false},
|
||||
{"with_order_by", 0, true},
|
||||
{"with_order_by_and_limits", 10, true},
|
||||
}
|
||||
|
||||
// expectedFinalSelects maps "base/variant" to the final SELECT portion after the CTE.
|
||||
// The full expected query is: base.cte + expectedFinalSelects[name]
|
||||
expectedFinalSelects := map[string]string{
|
||||
// cumulative_rate_sum
|
||||
"cumulative_rate_sum/with_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
"cumulative_rate_sum/without_limits": " SELECT * FROM __spatial_aggregation_cte ORDER BY avg(value) OVER (PARTITION BY `service.name`) DESC, `service.name`, ts ASC",
|
||||
"cumulative_rate_sum/with_order_by": " SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name` asc, ts ASC",
|
||||
"cumulative_rate_sum/with_order_by_and_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT DISTINCT `service.name` FROM __spatial_aggregation_cte ORDER BY `service.name` asc LIMIT 10) ORDER BY `service.name` asc, ts ASC",
|
||||
|
||||
// cumulative_rate_sum_with_mat_column
|
||||
"cumulative_rate_sum_with_mat_column/with_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
"cumulative_rate_sum_with_mat_column/without_limits": " SELECT * FROM __spatial_aggregation_cte ORDER BY avg(value) OVER (PARTITION BY `service.name`) DESC, `service.name`, ts ASC",
|
||||
"cumulative_rate_sum_with_mat_column/with_order_by": " SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name` asc, ts ASC",
|
||||
"cumulative_rate_sum_with_mat_column/with_order_by_and_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT DISTINCT `service.name` FROM __spatial_aggregation_cte ORDER BY `service.name` asc LIMIT 10) ORDER BY `service.name` asc, ts ASC",
|
||||
|
||||
// delta_rate_sum
|
||||
"delta_rate_sum/with_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) ORDER BY `service.name`, ts ASC",
|
||||
"delta_rate_sum/without_limits": " SELECT * FROM __spatial_aggregation_cte ORDER BY avg(value) OVER (PARTITION BY `service.name`) DESC, `service.name`, ts ASC",
|
||||
"delta_rate_sum/with_order_by": " SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name` asc, ts ASC",
|
||||
"delta_rate_sum/with_order_by_and_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT DISTINCT `service.name` FROM __spatial_aggregation_cte ORDER BY `service.name` asc LIMIT 10) ORDER BY `service.name` asc, ts ASC",
|
||||
|
||||
// histogram_percentile1
|
||||
"histogram_percentile1/with_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) GROUP BY `service.name`, ts ORDER BY `service.name`, ts ASC",
|
||||
"histogram_percentile1/without_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY avg(value) OVER (PARTITION BY `service.name`) DESC, `service.name`, ts ASC",
|
||||
"histogram_percentile1/with_order_by": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY `service.name` asc, ts ASC",
|
||||
"histogram_percentile1/with_order_by_and_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT DISTINCT `service.name` FROM __spatial_aggregation_cte ORDER BY `service.name` asc LIMIT 10) GROUP BY `service.name`, ts ORDER BY `service.name` asc, ts ASC",
|
||||
|
||||
// gauge_avg_sum
|
||||
"gauge_avg_sum/with_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`host.name`) IN (SELECT `host.name` FROM __spatial_aggregation_cte GROUP BY `host.name` ORDER BY avg(value) LIMIT 10) ORDER BY `host.name`, ts ASC",
|
||||
"gauge_avg_sum/without_limits": " SELECT * FROM __spatial_aggregation_cte ORDER BY avg(value) OVER (PARTITION BY `host.name`) DESC, `host.name`, ts ASC",
|
||||
"gauge_avg_sum/with_order_by": " SELECT * FROM __spatial_aggregation_cte ORDER BY `host.name` asc, ts ASC",
|
||||
"gauge_avg_sum/with_order_by_and_limits": " SELECT * FROM __spatial_aggregation_cte WHERE (`host.name`) IN (SELECT DISTINCT `host.name` FROM __spatial_aggregation_cte ORDER BY `host.name` asc LIMIT 10) ORDER BY `host.name` asc, ts ASC",
|
||||
|
||||
// histogram_percentile2
|
||||
"histogram_percentile2/with_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT `service.name` FROM __spatial_aggregation_cte GROUP BY `service.name` ORDER BY avg(value) LIMIT 10) GROUP BY `service.name`, ts ORDER BY `service.name`, ts ASC",
|
||||
"histogram_percentile2/without_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY avg(value) OVER (PARTITION BY `service.name`) DESC, `service.name`, ts ASC",
|
||||
"histogram_percentile2/with_order_by": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY `service.name` asc, ts ASC",
|
||||
"histogram_percentile2/with_order_by_and_limits": " SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte WHERE (`service.name`) IN (SELECT DISTINCT `service.name` FROM __spatial_aggregation_cte ORDER BY `service.name` asc LIMIT 10) GROUP BY `service.name`, ts ORDER BY `service.name` asc, ts ASC",
|
||||
}
|
||||
|
||||
fm := NewFieldMapper()
|
||||
cb := NewConditionBuilder(fm)
|
||||
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
|
||||
@@ -234,13 +227,15 @@ func TestStatementBuilder(t *testing.T) {
|
||||
t.Fatalf("failed to load field keys: %v", err)
|
||||
}
|
||||
mockMetadataStore.KeysMap = keys
|
||||
// NOTE: LoadFieldKeysFromJSON doesn't set Materialized field
|
||||
// for keys, so we have to set it manually here for testing
|
||||
if _, ok := mockMetadataStore.KeysMap["materialized.key.name"]; ok {
|
||||
if len(mockMetadataStore.KeysMap["materialized.key.name"]) > 0 {
|
||||
mockMetadataStore.KeysMap["materialized.key.name"][0].Materialized = true
|
||||
}
|
||||
}
|
||||
|
||||
fl, err := flagger.New(context.Background(), instrumentationtest.New().ToProviderSettings(), flagger.Config{}, flagger.MustNewRegistry())
|
||||
flagger, err := flagger.New(context.Background(), instrumentationtest.New().ToProviderSettings(), flagger.Config{}, flagger.MustNewRegistry())
|
||||
if err != nil {
|
||||
t.Fatalf("failed to create flagger: %v", err)
|
||||
}
|
||||
@@ -250,30 +245,23 @@ func TestStatementBuilder(t *testing.T) {
|
||||
mockMetadataStore,
|
||||
fm,
|
||||
cb,
|
||||
fl,
|
||||
flagger,
|
||||
)
|
||||
|
||||
for _, b := range bases {
|
||||
for _, v := range variants {
|
||||
name := b.name + "/" + v.name
|
||||
t.Run(name, func(t *testing.T) {
|
||||
q := b.query
|
||||
q.Limit = v.limit
|
||||
if v.hasOrder {
|
||||
q.Order = []qbtypes.OrderBy{
|
||||
{
|
||||
Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: b.orderKey}},
|
||||
Direction: qbtypes.OrderDirectionAsc,
|
||||
},
|
||||
}
|
||||
}
|
||||
for _, c := range cases {
|
||||
t.Run(c.name, func(t *testing.T) {
|
||||
|
||||
result, err := statementBuilder.Build(context.Background(), 1747947419000, 1747983448000, qbtypes.RequestTypeTimeSeries, q, nil)
|
||||
q, err := statementBuilder.Build(context.Background(), 1747947419000, 1747983448000, c.requestType, c.query, nil)
|
||||
|
||||
if c.expectedErr != nil {
|
||||
require.Error(t, err)
|
||||
require.Contains(t, err.Error(), c.expectedErr.Error())
|
||||
} else {
|
||||
require.NoError(t, err)
|
||||
require.Equal(t, b.cte+expectedFinalSelects[name], result.Query)
|
||||
require.Equal(t, b.args, result.Args)
|
||||
})
|
||||
}
|
||||
require.Equal(t, c.expected.Query, q.Query)
|
||||
require.Equal(t, c.expected.Args, q.Args)
|
||||
require.Equal(t, c.expected.Warnings, q.Warnings)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -20,19 +20,20 @@ var (
|
||||
)
|
||||
|
||||
var TypeableRelations = map[Type][]Relation{
|
||||
TypeUser: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeRole: {RelationAssignee, RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeOrganization: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeMetaResource: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeMetaResources: {RelationCreate, RelationList},
|
||||
TypeUser: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeServiceAccount: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeRole: {RelationAssignee, RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeOrganization: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeMetaResource: {RelationRead, RelationUpdate, RelationDelete},
|
||||
TypeMetaResources: {RelationCreate, RelationList},
|
||||
}
|
||||
|
||||
var RelationsTypeable = map[Relation][]Type{
|
||||
RelationCreate: {TypeMetaResources},
|
||||
RelationRead: {TypeUser, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationRead: {TypeUser, TypeServiceAccount, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationList: {TypeMetaResources},
|
||||
RelationUpdate: {TypeUser, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationDelete: {TypeUser, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationUpdate: {TypeUser, TypeServiceAccount, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationDelete: {TypeUser, TypeServiceAccount, TypeRole, TypeOrganization, TypeMetaResource},
|
||||
RelationAssignee: {TypeRole},
|
||||
}
|
||||
|
||||
|
||||
@@ -23,11 +23,12 @@ var (
|
||||
)
|
||||
|
||||
var (
|
||||
typeUserSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeRoleSelectorRegex = regexp.MustCompile(`^([a-z-]{1,50}|\*)$`)
|
||||
typeAnonymousSelectorRegex = regexp.MustCompile(`^\*$`)
|
||||
typeOrganizationSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeMetaResourceSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeUserSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeServiceAccountSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeRoleSelectorRegex = regexp.MustCompile(`^([a-z-]{1,50}|\*)$`)
|
||||
typeAnonymousSelectorRegex = regexp.MustCompile(`^\*$`)
|
||||
typeOrganizationSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
typeMetaResourceSelectorRegex = regexp.MustCompile(`^(^[0-9a-f]{8}(?:\-[0-9a-f]{4}){3}-[0-9a-f]{12}$|\*)$`)
|
||||
// metaresources selectors are used to select either all or none until we introduce some hierarchy here.
|
||||
typeMetaResourcesSelectorRegex = regexp.MustCompile(`^\*$`)
|
||||
)
|
||||
@@ -98,6 +99,11 @@ func IsValidSelector(typed Type, selector string) error {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeAuthZInvalidSelector, "selector must conform to regex %s", typeUserSelectorRegex.String())
|
||||
}
|
||||
return nil
|
||||
case TypeServiceAccount:
|
||||
if !typeServiceAccountSelectorRegex.MatchString(selector) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeAuthZInvalidSelector, "selector must conform to regex %s", typeServiceAccountSelectorRegex.String())
|
||||
}
|
||||
return nil
|
||||
case TypeRole:
|
||||
if !typeRoleSelectorRegex.MatchString(selector) {
|
||||
return errors.Newf(errors.TypeInvalidInput, ErrCodeAuthZInvalidSelector, "selector must conform to regex %s", typeRoleSelectorRegex.String())
|
||||
|
||||
@@ -15,19 +15,21 @@ var (
|
||||
)
|
||||
|
||||
var (
|
||||
TypeUser = Type{valuer.NewString("user")}
|
||||
TypeAnonymous = Type{valuer.NewString("anonymous")}
|
||||
TypeRole = Type{valuer.NewString("role")}
|
||||
TypeOrganization = Type{valuer.NewString("organization")}
|
||||
TypeMetaResource = Type{valuer.NewString("metaresource")}
|
||||
TypeMetaResources = Type{valuer.NewString("metaresources")}
|
||||
TypeUser = Type{valuer.NewString("user")}
|
||||
TypeServiceAccount = Type{valuer.NewString("serviceaccount")}
|
||||
TypeAnonymous = Type{valuer.NewString("anonymous")}
|
||||
TypeRole = Type{valuer.NewString("role")}
|
||||
TypeOrganization = Type{valuer.NewString("organization")}
|
||||
TypeMetaResource = Type{valuer.NewString("metaresource")}
|
||||
TypeMetaResources = Type{valuer.NewString("metaresources")}
|
||||
)
|
||||
|
||||
var (
|
||||
TypeableUser = &typeableUser{}
|
||||
TypeableAnonymous = &typeableAnonymous{}
|
||||
TypeableRole = &typeableRole{}
|
||||
TypeableOrganization = &typeableOrganization{}
|
||||
TypeableUser = &typeableUser{}
|
||||
TypeableServiceAccount = &typeableServiceAccount{}
|
||||
TypeableAnonymous = &typeableAnonymous{}
|
||||
TypeableRole = &typeableRole{}
|
||||
TypeableOrganization = &typeableOrganization{}
|
||||
)
|
||||
|
||||
type Typeable interface {
|
||||
@@ -53,6 +55,8 @@ func NewType(input string) (Type, error) {
|
||||
switch input {
|
||||
case "user":
|
||||
return TypeUser, nil
|
||||
case "serviceaccount":
|
||||
return TypeServiceAccount, nil
|
||||
case "role":
|
||||
return TypeRole, nil
|
||||
case "organization":
|
||||
@@ -88,6 +92,8 @@ func NewTypeableFromType(typed Type, name Name) (Typeable, error) {
|
||||
return TypeableRole, nil
|
||||
case TypeUser:
|
||||
return TypeableUser, nil
|
||||
case TypeServiceAccount:
|
||||
return TypeableServiceAccount, nil
|
||||
case TypeOrganization:
|
||||
return TypeableOrganization, nil
|
||||
case TypeMetaResource:
|
||||
|
||||
38
pkg/types/authtypes/typeable_serviceaccount.go
Normal file
38
pkg/types/authtypes/typeable_serviceaccount.go
Normal file
@@ -0,0 +1,38 @@
|
||||
package authtypes
|
||||
|
||||
import (
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
openfgav1 "github.com/openfga/api/proto/openfga/v1"
|
||||
)
|
||||
|
||||
var _ Typeable = new(typeableServiceAccount)
|
||||
|
||||
type typeableServiceAccount struct{}
|
||||
|
||||
func (typeableServiceAccount *typeableServiceAccount) Tuples(subject string, relation Relation, selectors []Selector, orgID valuer.UUID) ([]*openfgav1.TupleKey, error) {
|
||||
tuples := make([]*openfgav1.TupleKey, 0)
|
||||
|
||||
for _, selector := range selectors {
|
||||
object := typeableServiceAccount.Prefix(orgID) + "/" + selector.String()
|
||||
tuples = append(tuples, &openfgav1.TupleKey{User: subject, Relation: relation.StringValue(), Object: object})
|
||||
}
|
||||
|
||||
return tuples, nil
|
||||
}
|
||||
|
||||
func (typeableServiceAccount *typeableServiceAccount) Type() Type {
|
||||
return TypeServiceAccount
|
||||
}
|
||||
|
||||
func (typeableServiceAccount *typeableServiceAccount) Name() Name {
|
||||
return MustNewName("serviceaccount")
|
||||
}
|
||||
|
||||
// example: serviceaccount:organization/0199c47d-f61b-7833-bc5f-c0730f12f046/serviceaccount
|
||||
func (typeableServiceAccount *typeableServiceAccount) Prefix(orgID valuer.UUID) string {
|
||||
return typeableServiceAccount.Type().StringValue() + ":" + "organization" + "/" + orgID.StringValue() + "/" + typeableServiceAccount.Name().String()
|
||||
}
|
||||
|
||||
func (typeableServiceAccount *typeableServiceAccount) Scope(relation Relation) string {
|
||||
return typeableServiceAccount.Name().String() + ":" + relation.StringValue()
|
||||
}
|
||||
@@ -58,8 +58,6 @@ def build_builder_query(
|
||||
step_interval: int = DEFAULT_STEP_INTERVAL,
|
||||
group_by: Optional[List[str]] = None,
|
||||
filter_expression: Optional[str] = None,
|
||||
order_by: Optional[List[Dict]] = None,
|
||||
limit: Optional[int] = None,
|
||||
functions: Optional[List[Dict]] = None,
|
||||
disabled: bool = False,
|
||||
) -> Dict:
|
||||
@@ -95,12 +93,6 @@ def build_builder_query(
|
||||
if filter_expression:
|
||||
spec["filter"] = {"expression": filter_expression}
|
||||
|
||||
if order_by:
|
||||
spec["order"] = order_by
|
||||
|
||||
if limit is not None:
|
||||
spec["limit"] = limit
|
||||
|
||||
if functions:
|
||||
spec["functions"] = functions
|
||||
|
||||
|
||||
@@ -2,20 +2,16 @@
|
||||
Look at the cumulative_counters_1h.jsonl file for the relevant data
|
||||
"""
|
||||
|
||||
import logging
|
||||
import os
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
from typing import Any, Callable, List, Optional, Union
|
||||
|
||||
import pytest
|
||||
from typing import Any, Callable, List
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
build_builder_query,
|
||||
build_order_by,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -75,200 +71,16 @@ def test_rate_with_steady_values_and_reset(
|
||||
assert v["value"] >= 0, f"Rate should not be negative: {v['value']}"
|
||||
|
||||
|
||||
def _assert_endpoint_rate_values(endpoint_values: dict) -> None:
|
||||
# /health: 60 data points (t01-t60), steady +10/min
|
||||
# rate = 10/60 = 0.167
|
||||
if "/health" in endpoint_values:
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values (0.167) for /health, got {count_steady_health}"
|
||||
# all /health rates should be 0.167 except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
# rate = 20/60 = 0.333, gap causes lower averaged rate at boundary
|
||||
if "/products" in endpoint_values:
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
|
||||
# most values should be 0.333, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
count_steady_products >= 46
|
||||
), f"Expected >= 46 steady rate values (0.333) for /products, got {count_steady_products}"
|
||||
# check that non-0.333 values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [v["value"] for v in products_values if v["value"] != 0.333]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < 0.333
|
||||
), f"Gap boundary values should be between 0 and 0.333, got {val}"
|
||||
|
||||
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
|
||||
# normal rate = 1/60 = 0.0167, spike rate = 50/60 = 0.833
|
||||
if "/checkout" in endpoint_values:
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
|
||||
]
|
||||
assert len(spike_indices) >= 4, f"Expected >= 4 spike indices, got {spike_indices}"
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
|
||||
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
|
||||
# rate = 5/60 = 0.0833
|
||||
# reset at t31 causes: rate at t30 includes gap (lower), t31 has high rate after reset
|
||||
if "/orders" in endpoint_values:
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady rate values (0.0833) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
|
||||
assert (
|
||||
len(high_rate_orders) >= 1
|
||||
), f"Expected at least one high rate value after counter reset, got {non_standard_orders}"
|
||||
|
||||
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes
|
||||
# Rate = 1/60 = 0.0167 during increment, 0 during flat periods
|
||||
if "/users" in endpoint_values:
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) >= 54
|
||||
), f"Expected >= 54 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users >= 40
|
||||
), f"Expected >= 40 zero rate values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be 0.0167 (1/60 increment rate)
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
|
||||
assert (
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment rate values (0.0167) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"metric_suffix,order_by,limit,expected_count,expected_endpoints",
|
||||
[
|
||||
(
|
||||
"no_order",
|
||||
None, # this is equivalent to sum(metric_name)
|
||||
None,
|
||||
5,
|
||||
["/products", "/health", "/checkout", "/orders", "/users"],
|
||||
),
|
||||
(
|
||||
"only_limit",
|
||||
None, # this is equivalent to sum(metric_name)
|
||||
3,
|
||||
3,
|
||||
["/products", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"asc",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
None,
|
||||
5,
|
||||
["/checkout", "/health", "/orders", "/products", "/users"],
|
||||
),
|
||||
(
|
||||
"asc_lim3",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
3,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"desc",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
None,
|
||||
5,
|
||||
["/users", "/products", "/orders", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_lim3",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
3,
|
||||
3,
|
||||
["/users", "/products", "/orders"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name",
|
||||
[build_order_by("sum(test_rate_groupby_asc_metric_name)", "asc")],
|
||||
None,
|
||||
5,
|
||||
["/users", "/orders", "/checkout", "/health", "/products"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name_lim3",
|
||||
[build_order_by("sum(test_rate_groupby_asc_metric_name_lim3)", "asc")],
|
||||
3,
|
||||
3,
|
||||
["/users", "/orders", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name",
|
||||
[build_order_by("sum(test_rate_groupby_desc_metric_name)", "desc")],
|
||||
None,
|
||||
5,
|
||||
["/products", "/health", "/checkout", "/orders", "/users"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name_lim3",
|
||||
[build_order_by("sum(test_rate_groupby_desc_metric_name_lim3)", "desc")],
|
||||
3,
|
||||
3,
|
||||
["/products", "/health", "/checkout"],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_rate_group_by_endpoint(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
insert_metrics: Callable[[List[Metrics]], None],
|
||||
metric_suffix: str,
|
||||
order_by: Optional[List],
|
||||
limit: Optional[int],
|
||||
expected_count: int,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
metric_name = f"test_rate_groupby_{metric_suffix}"
|
||||
metric_name = "test_rate_groupby"
|
||||
|
||||
metrics = Metrics.load_from_file(
|
||||
CUMULATIVE_COUNTERS_FILE,
|
||||
@@ -285,8 +97,6 @@ def test_rate_group_by_endpoint(
|
||||
"sum",
|
||||
temporality="cumulative",
|
||||
group_by=["endpoint"],
|
||||
order_by=order_by,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
@@ -295,23 +105,10 @@ def test_rate_group_by_endpoint(
|
||||
data = response.json()
|
||||
all_series = get_all_series(data, "A")
|
||||
|
||||
# Should have 5 different endpoints
|
||||
assert (
|
||||
len(all_series) == expected_count
|
||||
), f"Expected {expected_count} series, got {len(all_series)}"
|
||||
|
||||
endpoint_labels = [
|
||||
series.get("labels", [{}])[0].get("value", "unknown")
|
||||
for series in all_series
|
||||
]
|
||||
|
||||
if isinstance(expected_endpoints, set):
|
||||
assert (
|
||||
set(endpoint_labels) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_labels)}"
|
||||
else:
|
||||
assert endpoint_labels == expected_endpoints, (
|
||||
f"Expected endpoints {expected_endpoints}, got {endpoint_labels}"
|
||||
)
|
||||
len(all_series) == 5
|
||||
), f"Expected 5 series for 5 endpoints, got {len(all_series)}"
|
||||
|
||||
# endpoint -> values
|
||||
endpoint_values = {}
|
||||
@@ -320,6 +117,11 @@ def test_rate_group_by_endpoint(
|
||||
values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
|
||||
endpoint_values[endpoint] = values
|
||||
|
||||
expected_endpoints = {"/products", "/health", "/checkout", "/orders", "/users"}
|
||||
assert (
|
||||
set(endpoint_values.keys()) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_values.keys())}"
|
||||
|
||||
# at no point rate should be negative
|
||||
for endpoint, values in endpoint_values.items():
|
||||
for v in values:
|
||||
@@ -327,4 +129,103 @@ def test_rate_group_by_endpoint(
|
||||
v["value"] >= 0
|
||||
), f"Rate for {endpoint} should not be negative: {v['value']}"
|
||||
|
||||
_assert_endpoint_rate_values(endpoint_values)
|
||||
# /health: 60 data points (t01-t60), steady +10/min
|
||||
# rate = 10/60 = 0.167
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values (0.167) for /health, got {count_steady_health}"
|
||||
# all /health rates should be 0.167 except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
# rate = 20/60 = 0.333, gap causes lower averaged rate at boundary
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
|
||||
|
||||
# most values should be 0.333, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
count_steady_products >= 46
|
||||
), f"Expected >= 46 steady rate values (0.333) for /products, got {count_steady_products}"
|
||||
|
||||
# check that non-0.333 values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [v["value"] for v in products_values if v["value"] != 0.333]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < 0.333
|
||||
), f"Gap boundary values should be between 0 and 0.333, got {val}"
|
||||
|
||||
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
|
||||
# normal rate = 1/60 = 0.0167, spike rate = 50/60 = 0.833
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
|
||||
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
|
||||
]
|
||||
assert len(spike_indices) >= 4, f"Expected >= 4 spike indices, got {spike_indices}"
|
||||
# consecutiveness
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
|
||||
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
|
||||
# rate = 5/60 = 0.0833
|
||||
# reset at t31 causes: rate at t30 includes gap (lower), t31 has high rate after reset
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady rate values (0.0833) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
|
||||
assert (
|
||||
len(high_rate_orders) >= 1
|
||||
), f"Expected at least one high rate value after counter reset, got {non_standard_orders}"
|
||||
|
||||
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes
|
||||
# Rate = 1/60 = 0.0167 during increment, 0 during flat periods
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) >= 54
|
||||
), f"Expected >= 54 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users >= 40
|
||||
), f"Expected >= 40 zero rate values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be 0.0167 (1/60 increment rate)
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
|
||||
assert (
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment rate values (0.0167) for /users, got {count_increment_rate}"
|
||||
|
||||
@@ -5,7 +5,7 @@ Look at the multi_temporality_counters_1h.jsonl file for the relevant data
|
||||
import random
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, List, Optional, Union
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
|
||||
@@ -14,7 +14,6 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
build_builder_query,
|
||||
build_order_by,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -92,198 +91,6 @@ def test_with_steady_values_and_reset(
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
def _assert_endpoint_group_values( # pylint: disable=too-many-arguments
|
||||
endpoint_values: dict,
|
||||
stable_health_value: float,
|
||||
stable_products_value: float,
|
||||
stable_checkout_value: float,
|
||||
spike_checkout_value: float,
|
||||
stable_orders_value: float,
|
||||
spike_users_value: float,
|
||||
time_aggregation: str,
|
||||
) -> None:
|
||||
# /health: 60 data points (t01-t60), steady +10/min
|
||||
if "/health" in endpoint_values:
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(
|
||||
1 for v in health_values if v["value"] == stable_health_value
|
||||
)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
|
||||
# all /health rates should be stable except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert (
|
||||
v["value"] == stable_health_value
|
||||
), f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
if "/products" in endpoint_values:
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(
|
||||
1 for v in products_values if v["value"] == stable_products_value
|
||||
)
|
||||
# most values should be stable, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
count_steady_products >= 46
|
||||
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
|
||||
# check that non-stable values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [
|
||||
v["value"] for v in products_values if v["value"] != stable_products_value
|
||||
]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < stable_products_value
|
||||
), f"Gap boundary values should be between 0 and {stable_products_value}, got {val}"
|
||||
|
||||
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
|
||||
if "/checkout" in endpoint_values:
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == stable_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == spike_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate(checkout_values) if v["value"] == spike_checkout_value
|
||||
]
|
||||
assert len(spike_indices) >= 4, f"Expected >= 4 spike indices, got {spike_indices}"
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
|
||||
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
|
||||
# reset at t31 causes: rate/increase at t30 includes gap (lower), t31 has high rate after reset
|
||||
if "/orders" in endpoint_values:
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(
|
||||
1 for v in orders_values if v["value"] == stable_orders_value
|
||||
)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [
|
||||
v["value"] for v in orders_values if v["value"] != stable_orders_value
|
||||
]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > stable_orders_value]
|
||||
assert (
|
||||
len(high_rate_orders) >= 1
|
||||
), f"Expected at least one high {time_aggregation} value after counter reset, got {non_standard_orders}"
|
||||
|
||||
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes
|
||||
if "/users" in endpoint_values:
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) >= 54
|
||||
), f"Expected >= 54 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users >= 40
|
||||
), f"Expected >= 40 zero {time_aggregation} values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be stable increment rate
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == spike_users_value)
|
||||
assert (
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"order_suffix,order_by_spec,limit,expected_count,expected_endpoints",
|
||||
[
|
||||
(
|
||||
"no_order",
|
||||
None,
|
||||
None,
|
||||
5,
|
||||
["/products", "/health", "/checkout", "/orders", "/users"],
|
||||
),
|
||||
(
|
||||
"asc",
|
||||
("endpoint", "asc"),
|
||||
None,
|
||||
5,
|
||||
["/checkout", "/health", "/orders", "/products", "/users"],
|
||||
),
|
||||
(
|
||||
"asc_lim3",
|
||||
("endpoint", "asc"),
|
||||
3,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"desc",
|
||||
("endpoint", "desc"),
|
||||
None,
|
||||
5,
|
||||
["/users", "/products", "/orders", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_lim3",
|
||||
("endpoint", "desc"),
|
||||
3,
|
||||
3,
|
||||
["/users", "/products", "/orders"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name",
|
||||
("sum_metric", "asc"),
|
||||
None,
|
||||
5,
|
||||
["/users", "/orders", "/checkout", "/health", "/products"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name_lim3",
|
||||
("sum_metric", "asc"),
|
||||
3,
|
||||
3,
|
||||
["/users", "/orders", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name",
|
||||
("sum_metric", "desc"),
|
||||
None,
|
||||
5,
|
||||
["/products", "/health", "/checkout", "/orders", "/users"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name_lim3",
|
||||
("sum_metric", "desc"),
|
||||
3,
|
||||
3,
|
||||
["/products", "/health", "/checkout"],
|
||||
),
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, stable_health_value, stable_products_value, stable_checkout_value, spike_checkout_value, stable_orders_value, spike_users_value",
|
||||
[
|
||||
@@ -303,24 +110,11 @@ def test_group_by_endpoint(
|
||||
spike_checkout_value: float,
|
||||
stable_orders_value: float,
|
||||
spike_users_value: float,
|
||||
order_suffix: str,
|
||||
order_by_spec: Optional[tuple],
|
||||
limit: Optional[int],
|
||||
expected_count: int,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
metric_name = f"test_{time_aggregation}_groupby_{order_suffix}"
|
||||
|
||||
# Build order_by at runtime so metric name reflects actual time_aggregation
|
||||
order_by = None
|
||||
if order_by_spec is not None:
|
||||
key, direction = order_by_spec
|
||||
if key == "sum_metric":
|
||||
key = f"sum({metric_name})"
|
||||
order_by = [build_order_by(key, direction)]
|
||||
metric_name = f"test_{time_aggregation}_groupby"
|
||||
|
||||
metrics = Metrics.load_from_file(
|
||||
MULTI_TEMPORALITY_FILE,
|
||||
@@ -336,8 +130,6 @@ def test_group_by_endpoint(
|
||||
time_aggregation,
|
||||
"sum",
|
||||
group_by=["endpoint"],
|
||||
order_by=order_by,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
@@ -345,23 +137,10 @@ def test_group_by_endpoint(
|
||||
|
||||
data = response.json()
|
||||
all_series = get_all_series(data, "A")
|
||||
# Should have 5 different endpoints
|
||||
assert (
|
||||
len(all_series) == expected_count
|
||||
), f"Expected {expected_count} series, got {len(all_series)}"
|
||||
|
||||
endpoint_labels = [
|
||||
series.get("labels", [{}])[0].get("value", "unknown")
|
||||
for series in all_series
|
||||
]
|
||||
|
||||
if isinstance(expected_endpoints, set):
|
||||
assert (
|
||||
set(endpoint_labels) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_labels)}"
|
||||
else:
|
||||
assert endpoint_labels == expected_endpoints, (
|
||||
f"Expected endpoints {expected_endpoints}, got {endpoint_labels}"
|
||||
)
|
||||
len(all_series) == 5
|
||||
), f"Expected 5 series for 5 endpoints, got {len(all_series)}"
|
||||
|
||||
# endpoint -> values
|
||||
endpoint_values = {}
|
||||
@@ -370,6 +149,11 @@ def test_group_by_endpoint(
|
||||
values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
|
||||
endpoint_values[endpoint] = values
|
||||
|
||||
expected_endpoints = {"/products", "/health", "/checkout", "/orders", "/users"}
|
||||
assert (
|
||||
set(endpoint_values.keys()) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_values.keys())}"
|
||||
|
||||
# at no point rate should be negative
|
||||
for endpoint, values in endpoint_values.items():
|
||||
for v in values:
|
||||
@@ -377,16 +161,117 @@ def test_group_by_endpoint(
|
||||
v["value"] >= 0
|
||||
), f"Rate for {endpoint} should not be negative: {v['value']}"
|
||||
|
||||
_assert_endpoint_group_values(
|
||||
endpoint_values,
|
||||
stable_health_value,
|
||||
stable_products_value,
|
||||
stable_checkout_value,
|
||||
spike_checkout_value,
|
||||
stable_orders_value,
|
||||
spike_users_value,
|
||||
time_aggregation,
|
||||
# /health: 60 data points (t01-t60), steady +10/min
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(
|
||||
1 for v in health_values if v["value"] == stable_health_value
|
||||
)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
|
||||
# all /health rates should be state except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert (
|
||||
v["value"] == stable_health_value
|
||||
), f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(
|
||||
1 for v in products_values if v["value"] == stable_products_value
|
||||
)
|
||||
|
||||
# most values should be stable, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
count_steady_products >= 46
|
||||
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
|
||||
|
||||
# check that non-stable values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [
|
||||
v["value"] for v in products_values if v["value"] != stable_products_value
|
||||
]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < stable_products_value
|
||||
), f"Gap boundary values should be between 0 and {stable_products_value}, got {val}"
|
||||
|
||||
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == stable_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == spike_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
|
||||
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate(checkout_values) if v["value"] == spike_checkout_value
|
||||
]
|
||||
assert len(spike_indices) >= 4, f"Expected >= 4 spike indices, got {spike_indices}"
|
||||
# consecutiveness
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
|
||||
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
|
||||
# reset at t31 causes: rate/increase at t30 includes gap (lower), t31 has high rate after reset
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(
|
||||
1 for v in orders_values if v["value"] == stable_orders_value
|
||||
)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [
|
||||
v["value"] for v in orders_values if v["value"] != stable_orders_value
|
||||
]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > stable_orders_value]
|
||||
assert (
|
||||
len(high_rate_orders) >= 1
|
||||
), f"Expected at least one high {time_aggregation} value after counter reset, got {non_standard_orders}"
|
||||
|
||||
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) >= 54
|
||||
), f"Expected >= 54 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users >= 40
|
||||
), f"Expected >= 40 zero {time_aggregation} values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be 0.0167 (1/60 increment rate)
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == spike_users_value)
|
||||
assert (
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
|
||||
@@ -4,7 +4,7 @@ Look at the histogram_data_1h.jsonl file for the relevant data
|
||||
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, List, Optional, Union
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
|
||||
@@ -13,7 +13,6 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
build_builder_query,
|
||||
build_order_by,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -522,311 +521,4 @@ def test_histogram_percentile_for_delta_service(
|
||||
assert len(result_values) == 60
|
||||
assert result_values[0]["value"] == zeroth_value
|
||||
assert result_values[1]["value"] == first_value
|
||||
assert result_values[-1]["value"] == last_value
|
||||
|
||||
|
||||
def _assert_series_endpoint_labels(
|
||||
series: list,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
prefix: str,
|
||||
) -> None:
|
||||
labels = [s.get("labels", [{}])[0].get("value", "unknown") for s in series]
|
||||
if isinstance(expected_endpoints, set):
|
||||
assert (
|
||||
set(labels) == expected_endpoints
|
||||
), f"Expected {prefix} endpoints {expected_endpoints}, got {set(labels)}"
|
||||
else:
|
||||
assert labels == expected_endpoints, (
|
||||
f"Expected {prefix} endpoints in order {expected_endpoints}, got {labels}"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"order_suffix,order_by,limit,expected_count,expected_endpoints",
|
||||
[
|
||||
(
|
||||
"no_order",
|
||||
None,
|
||||
None,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"asc",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
None,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"asc_lim2",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
2,
|
||||
2,
|
||||
["/checkout", "/health"],
|
||||
),
|
||||
(
|
||||
"desc",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
None,
|
||||
3,
|
||||
["/orders", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_lim2",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
2,
|
||||
2,
|
||||
["/orders", "/health"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name",
|
||||
[build_order_by("count(test_histogram_count_groupby_asc_metric_name)", "asc")],
|
||||
None,
|
||||
3,
|
||||
["/health", "/orders", "/checkout"], ## health and orders have the same size so they are then sorted endpoint as a tiebreaker
|
||||
),
|
||||
(
|
||||
"asc_metric_name_lim2",
|
||||
[build_order_by("count(test_histogram_count_groupby_asc_metric_name_lim2)", "asc")],
|
||||
2,
|
||||
2,
|
||||
["/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name",
|
||||
[build_order_by("count(test_histogram_count_groupby_desc_metric_name)", "desc")],
|
||||
None,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"], ## health and orders have the same size so they are then sorted endpoint as a tiebreaker
|
||||
),
|
||||
(
|
||||
"desc_metric_name_lim2",
|
||||
[build_order_by("count(test_histogram_count_groupby_desc_metric_name_lim2)", "desc")],
|
||||
2,
|
||||
2,
|
||||
["/checkout", "/health"],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_histogram_count_group_by_endpoint(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
insert_metrics: Callable[[List[Metrics]], None],
|
||||
order_suffix: str,
|
||||
order_by: Optional[List],
|
||||
limit: Optional[int],
|
||||
expected_count: int,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
metric_name = f"test_histogram_count_groupby_{order_suffix}"
|
||||
|
||||
metrics = Metrics.load_from_file(
|
||||
FILE,
|
||||
base_time=now - timedelta(minutes=60),
|
||||
metric_name_override=metric_name,
|
||||
)
|
||||
insert_metrics(metrics)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query_count = build_builder_query(
|
||||
"A",
|
||||
metric_name,
|
||||
"increase",
|
||||
"count",
|
||||
comparisonSpaceAggregationParam={"threshold": 1000, "operator": "<="},
|
||||
group_by=["endpoint"],
|
||||
order_by=order_by,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query_count])
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
count_all_series = get_all_series(data, "A")
|
||||
|
||||
assert (
|
||||
len(count_all_series) == expected_count
|
||||
), f"Expected {expected_count} series, got {len(count_all_series)}"
|
||||
|
||||
_assert_series_endpoint_labels(count_all_series, expected_endpoints, "count")
|
||||
|
||||
count_values = {}
|
||||
for series in count_all_series:
|
||||
endpoint = series.get("labels", [{}])[0].get("value", "unknown")
|
||||
count_values[endpoint] = sorted(
|
||||
series.get("values", []), key=lambda x: x["timestamp"]
|
||||
)
|
||||
|
||||
for endpoint, values in count_values.items():
|
||||
for v in values:
|
||||
assert v["value"] >= 0, f"Count for {endpoint} should not be negative: {v['value']}"
|
||||
|
||||
# /health (cumulative, service=api): 59 points, increase starts at 11/min → 69/min
|
||||
if "/health" in count_values:
|
||||
vals = count_values["/health"]
|
||||
assert vals[0]["value"] == 11, f"Expected /health count first=11, got {vals[0]['value']}"
|
||||
assert vals[-1]["value"] == 69, f"Expected /health count last=69, got {vals[-1]['value']}"
|
||||
|
||||
# /orders (cumulative, service=api): same distribution as /health
|
||||
if "/orders" in count_values:
|
||||
vals = count_values["/orders"]
|
||||
assert vals[0]["value"] == 11, f"Expected /orders count first=11, got {vals[0]['value']}"
|
||||
assert vals[-1]["value"] == 69, f"Expected /orders count last=69, got {vals[-1]['value']}"
|
||||
|
||||
# /checkout (delta, service=web): 60 points, zeroth=12345 (raw delta), then 11/min → 69/min
|
||||
if "/checkout" in count_values:
|
||||
vals = count_values["/checkout"]
|
||||
assert vals[0]["value"] == 12345, f"Expected /checkout count zeroth=12345, got {vals[0]['value']}"
|
||||
assert vals[1]["value"] == 11, f"Expected /checkout count first=11, got {vals[1]['value']}"
|
||||
assert vals[-1]["value"] == 69, f"Expected /checkout count last=69, got {vals[-1]['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"order_suffix,order_by,limit,expected_count,expected_endpoints",
|
||||
[
|
||||
(
|
||||
"no_order",
|
||||
None,
|
||||
None,
|
||||
3,
|
||||
[ "/health", "/orders","/checkout"],
|
||||
),
|
||||
(
|
||||
"asc",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
None,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"asc_lim2",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
2,
|
||||
2,
|
||||
["/checkout", "/health"],
|
||||
),
|
||||
(
|
||||
"desc",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
None,
|
||||
3,
|
||||
["/orders", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_lim2",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
2,
|
||||
2,
|
||||
["/orders", "/health"],
|
||||
),
|
||||
(
|
||||
"asc_metric_name",
|
||||
[build_order_by("p90(test_histogram_p90_groupby_asc_metric_name)", "asc")],
|
||||
None,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"], ## health and orders have the same size so they are then sorted endpoint as a tiebreaker
|
||||
),
|
||||
(
|
||||
"asc_metric_name_lim2",
|
||||
[build_order_by("p90(test_histogram_p90_groupby_asc_metric_name_lim2)", "asc")],
|
||||
2,
|
||||
2,
|
||||
["/checkout", "/health"],
|
||||
),
|
||||
(
|
||||
"desc_metric_name",
|
||||
[build_order_by("p90(test_histogram_p90_groupby_desc_metric_name)", "desc")],
|
||||
None,
|
||||
3,
|
||||
["/health", "/orders", "/checkout"], ## health and orders have the same size so they are then sorted endpoint as a tiebreaker
|
||||
),
|
||||
(
|
||||
"desc_metric_name_lim2",
|
||||
[build_order_by("p90(test_histogram_p90_groupby_desc_metric_name_lim2)", "desc")],
|
||||
2,
|
||||
2,
|
||||
["/health", "/orders"],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_histogram_percentile_group_by_endpoint(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
insert_metrics: Callable[[List[Metrics]], None],
|
||||
order_suffix: str,
|
||||
order_by: Optional[List],
|
||||
limit: Optional[int],
|
||||
expected_count: int,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
metric_name = f"test_histogram_p90_groupby_{order_suffix}"
|
||||
|
||||
metrics = Metrics.load_from_file(
|
||||
FILE,
|
||||
base_time=now - timedelta(minutes=60),
|
||||
metric_name_override=metric_name,
|
||||
)
|
||||
insert_metrics(metrics)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query_p90 = build_builder_query(
|
||||
"A",
|
||||
metric_name,
|
||||
"doesnotreallymatter",
|
||||
"p90",
|
||||
group_by=["endpoint"],
|
||||
order_by=order_by,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query_p90])
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
p90_series = get_all_series(data, "A")
|
||||
|
||||
assert (
|
||||
len(p90_series) == expected_count
|
||||
), f"Expected {expected_count} p90 series, got {len(p90_series)}"
|
||||
|
||||
_assert_series_endpoint_labels(p90_series, expected_endpoints, "p90")
|
||||
|
||||
p90_values = {}
|
||||
for series in p90_series:
|
||||
endpoint = series.get("labels", [{}])[0].get("value", "unknown")
|
||||
p90_values[endpoint] = sorted(
|
||||
series.get("values", []), key=lambda x: x["timestamp"]
|
||||
)
|
||||
|
||||
for endpoint, values in p90_values.items():
|
||||
for v in values:
|
||||
assert v["value"] >= 0, f"p90 for {endpoint} should not be negative: {v['value']}"
|
||||
|
||||
# /health (cumulative, service=api)
|
||||
if "/health" in p90_values:
|
||||
vals = p90_values["/health"]
|
||||
assert vals[0]["value"] == 6400, f"Expected /health p90 first=6400, got {vals[0]['value']}"
|
||||
assert vals[-1]["value"] == 991.304, f"Expected /health p90 last=991.304, got {vals[-1]['value']}"
|
||||
|
||||
# /orders (cumulative, service=api): same distribution as /health
|
||||
if "/orders" in p90_values:
|
||||
vals = p90_values["/orders"]
|
||||
assert vals[0]["value"] == 6400, f"Expected /orders p90 first=6400, got {vals[0]['value']}"
|
||||
assert vals[-1]["value"] == 991.304, f"Expected /orders p90 last=991.304, got {vals[-1]['value']}"
|
||||
|
||||
# /checkout (delta, service=web): 60 points
|
||||
if "/checkout" in p90_values:
|
||||
vals = p90_values["/checkout"]
|
||||
assert vals[0]["value"] == 900, f"Expected /checkout p90 zeroth=900, got {vals[0]['value']}"
|
||||
assert vals[1]["value"] == 6400, f"Expected /checkout p90 first=6400, got {vals[1]['value']}"
|
||||
assert vals[-1]["value"] == 991.304, f"Expected /checkout p90 last=991.304, got {vals[-1]['value']}"
|
||||
assert result_values[-1]["value"] == last_value
|
||||
@@ -5,16 +5,13 @@ Look at the delta_counters_1h.jsonl file for the relevant data
|
||||
import os
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
from typing import Any, Callable, List, Optional, Union
|
||||
|
||||
import pytest
|
||||
from typing import Any, Callable, List
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
build_builder_query,
|
||||
build_order_by,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -72,61 +69,16 @@ def test_rate_with_steady_values_and_reset(
|
||||
assert v["value"] >= 0, f"Rate should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"order_suffix,order_by,limit,expected_count,expected_endpoints",
|
||||
[
|
||||
(
|
||||
"no_order",
|
||||
None,
|
||||
None,
|
||||
5,
|
||||
{"/products", "/health", "/checkout", "/orders", "/users"},
|
||||
),
|
||||
(
|
||||
"asc",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
None,
|
||||
5,
|
||||
["/checkout", "/health", "/orders", "/products", "/users"],
|
||||
),
|
||||
(
|
||||
"asc_lim3",
|
||||
[build_order_by("endpoint", "asc")],
|
||||
3,
|
||||
3,
|
||||
["/checkout", "/health", "/orders"],
|
||||
),
|
||||
(
|
||||
"desc",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
None,
|
||||
5,
|
||||
["/users", "/products", "/orders", "/health", "/checkout"],
|
||||
),
|
||||
(
|
||||
"desc_lim3",
|
||||
[build_order_by("endpoint", "desc")],
|
||||
3,
|
||||
3,
|
||||
["/users", "/products", "/orders"],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_rate_group_by_endpoint(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
insert_metrics: Callable[[List[Metrics]], None],
|
||||
order_suffix: str,
|
||||
order_by: Optional[List],
|
||||
limit: Optional[int],
|
||||
expected_count: int,
|
||||
expected_endpoints: Union[set, List[str]],
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
metric_name = f"test_rate_groupby_{order_suffix}"
|
||||
metric_name = "test_rate_groupby"
|
||||
|
||||
metrics = Metrics.load_from_file(
|
||||
DELTA_COUNTERS_FILE,
|
||||
@@ -142,8 +94,6 @@ def test_rate_group_by_endpoint(
|
||||
"rate",
|
||||
"sum",
|
||||
group_by=["endpoint"],
|
||||
order_by=order_by,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
@@ -152,23 +102,10 @@ def test_rate_group_by_endpoint(
|
||||
data = response.json()
|
||||
all_series = get_all_series(data, "A")
|
||||
|
||||
# Should have 5 different endpoints
|
||||
assert (
|
||||
len(all_series) == expected_count
|
||||
), f"Expected {expected_count} series, got {len(all_series)}"
|
||||
|
||||
endpoint_labels = [
|
||||
series.get("labels", [{}])[0].get("value", "unknown")
|
||||
for series in all_series
|
||||
]
|
||||
|
||||
if isinstance(expected_endpoints, set):
|
||||
assert (
|
||||
set(endpoint_labels) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_labels)}"
|
||||
else:
|
||||
assert endpoint_labels == expected_endpoints, (
|
||||
f"Expected endpoints {expected_endpoints}, got {endpoint_labels}"
|
||||
)
|
||||
len(all_series) == 5
|
||||
), f"Expected 5 series for 5 endpoints, got {len(all_series)}"
|
||||
|
||||
# endpoint -> values
|
||||
endpoint_values = {}
|
||||
@@ -177,6 +114,11 @@ def test_rate_group_by_endpoint(
|
||||
values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
|
||||
endpoint_values[endpoint] = values
|
||||
|
||||
expected_endpoints = {"/products", "/health", "/checkout", "/orders", "/users"}
|
||||
assert (
|
||||
set(endpoint_values.keys()) == expected_endpoints
|
||||
), f"Expected endpoints {expected_endpoints}, got {set(endpoint_values.keys())}"
|
||||
|
||||
# at no point rate should be negative
|
||||
for endpoint, values in endpoint_values.items():
|
||||
for v in values:
|
||||
@@ -186,95 +128,93 @@ def test_rate_group_by_endpoint(
|
||||
|
||||
# /health: 60 data points (t01-t60), steady +10/min
|
||||
# rate = 10/60 = 0.167
|
||||
if "/health" in endpoint_values:
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) == 60
|
||||
), f"Expected 60 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
|
||||
assert (
|
||||
count_steady_health == 60
|
||||
), f"Expected == 60 steady rate values (0.167) for /health, got {count_steady_health}"
|
||||
# all /health rates should be 0.167 except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
|
||||
health_values = endpoint_values["/health"]
|
||||
assert (
|
||||
len(health_values) == 60
|
||||
), f"Expected 60 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
|
||||
assert (
|
||||
count_steady_health == 60
|
||||
), f"Expected == 60 steady rate values (0.167) for /health, got {count_steady_health}"
|
||||
# all /health rates should be 0.167 except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
# rate = 20/60 = 0.333, gap causes lower averaged rate at boundary
|
||||
if "/products" in endpoint_values:
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) == 51
|
||||
), f"Expected 51 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
|
||||
assert (
|
||||
count_steady_products == 51
|
||||
), f"Expected 51 steady rate values (0.333) for /products, got {count_steady_products}"
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) == 51
|
||||
), f"Expected 51 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
|
||||
|
||||
assert (
|
||||
count_steady_products == 51
|
||||
), f"Expected 51 steady rate values (0.333) for /products, got {count_steady_products}"
|
||||
|
||||
# /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
|
||||
# normal rate = 1/60 = 0.0167, spike rate = 50/60 = 0.833
|
||||
if "/checkout" in endpoint_values:
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
checkout_values = endpoint_values["/checkout"]
|
||||
assert (
|
||||
len(checkout_values) == 61
|
||||
), f"Expected 61 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
|
||||
assert (
|
||||
count_steady_checkout == 56
|
||||
), f"Expected 56 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
|
||||
assert (
|
||||
count_spike_checkout == 5
|
||||
), f"Expected 5 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
|
||||
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
|
||||
]
|
||||
assert len(spike_indices) == 5, f"Expected 5 spike indices, got {spike_indices}"
|
||||
# consecutiveness
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
len(checkout_values) == 61
|
||||
), f"Expected 61 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
|
||||
assert (
|
||||
count_steady_checkout == 56
|
||||
), f"Expected 56 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
|
||||
assert (
|
||||
count_spike_checkout == 5
|
||||
), f"Expected 5 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
|
||||
# spike values should be consecutive
|
||||
spike_indices = [
|
||||
i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
|
||||
]
|
||||
assert len(spike_indices) == 5, f"Expected 5 spike indices, got {spike_indices}"
|
||||
for i in range(1, len(spike_indices)):
|
||||
assert (
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
spike_indices[i] == spike_indices[i - 1] + 1
|
||||
), f"Spike indices should be consecutive, got {spike_indices}"
|
||||
|
||||
# /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
|
||||
# rate = 5/60 = 0.0833
|
||||
# reset at t31 causes: rate at t30 includes gap (lower), t31 has high rate after reset
|
||||
if "/orders" in endpoint_values:
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) == 60
|
||||
), f"Expected 59 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
|
||||
assert (
|
||||
count_steady_orders == 58
|
||||
), f"Expected 58 steady rate values (0.0833) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
|
||||
assert (
|
||||
len(non_standard_orders) == 2
|
||||
), f"Expected 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
|
||||
assert (
|
||||
len(high_rate_orders) == 1
|
||||
), f"Expected one high rate value after counter reset, got {non_standard_orders}"
|
||||
orders_values = endpoint_values["/orders"]
|
||||
assert (
|
||||
len(orders_values) == 60
|
||||
), f"Expected 59 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
|
||||
assert (
|
||||
count_steady_orders == 58
|
||||
), f"Expected 58 steady rate values (0.0833) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
|
||||
assert (
|
||||
len(non_standard_orders) == 2
|
||||
), f"Expected 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
# post-reset value should be higher (new counter value / interval)
|
||||
high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
|
||||
assert (
|
||||
len(high_rate_orders) == 1
|
||||
), f"Expected one high rate value after counter reset, got {non_standard_orders}"
|
||||
|
||||
# /users: 56 data points (t05-t60), sparse +1 every 5 minutes (12 of them)
|
||||
# Rate = 1/60 = 0.0167 during increment, 0 during flat periods
|
||||
if "/users" in endpoint_values:
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) == 56
|
||||
), f"Expected 56 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users == 44
|
||||
), f"Expected 44 zero rate values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be 0.0167 (1/60 increment rate)
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
|
||||
assert (
|
||||
count_increment_rate == 12
|
||||
), f"Expected 12 increment rate values (0.0167) for /users, got {count_increment_rate}"
|
||||
users_values = endpoint_values["/users"]
|
||||
assert (
|
||||
len(users_values) == 56
|
||||
), f"Expected 56 values for /users, got {len(users_values)}"
|
||||
count_zero_users = sum(1 for v in users_values if v["value"] == 0)
|
||||
# most values should be 0 (flat periods between increments)
|
||||
assert (
|
||||
count_zero_users == 44
|
||||
), f"Expected 44 zero rate values for /users (sparse data), got {count_zero_users}"
|
||||
# non-zero values should be 0.0167 (1/60 increment rate)
|
||||
non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
|
||||
count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
|
||||
assert (
|
||||
count_increment_rate == 12
|
||||
), f"Expected 12 increment rate values (0.0167) for /users, got {count_increment_rate}"
|
||||
|
||||
Reference in New Issue
Block a user