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Author SHA1 Message Date
nikhilmantri0902
7107143fc3 fix(alertmanager): remove threading from google chat notifier 2026-08-18 21:55:09 +05:30
Gaurav Tewari
7bcfaab35e feat: add override can edit dashboard (#12580)
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#### Description

- `DashboardContainer` now takes an optional `overrideCanEditDashboard`
prop that forces a dashboard into read-only mode, independent of the
viewer's role o
- It is typed as `false` on purpose: the prop can only take edit rights
away, never grant them, so it can't be used to slip past the existing
permission checks. When it isn't passed, behaviour is unchanged
(`overrideCanEditDashboard ?? canEditDashboard`), so no other dashboard
is affected.
- LLM Observability's Overview passes `overrideCanEditDashboard={false}`
so its built-in dashboard stays view-only, and the dashboard JSON's
`locked` flag goes back to `false` since the lock is no longer what
makes it read-only.
- `DashboardActions` also gates the Lock / Unlock menu item behind
`canEditDashboard`, so a read-only dashboard no longer offers an action
that would let the viewer flip its lock state.
- The prop is marked `@deprecated` with a TODO 

#### Issues closed by this PR

Covers the read-only dashboard requirement discussed in
SigNoz/engineering-pod#5920.

#### Screenshots / Screen Recordings


https://github.com/user-attachments/assets/e49bf5f7-ca36-4353-be47-f6ca80a2f0d2


#### Additional Information

---------

Co-authored-by: Gaurav Tewari <tewarig@users.noreply.github.com>
2026-08-18 14:58:51 +00:00
Vinicius Lourenço
5b62b31d34 fix(infrastructure-monitoring): preserving staled params after navigation (#12585)
<!--A few plain bullets saying what changed and why, for a reviewer
skimming it - not a wall of text, not a restatement of the diff, not
generated boilerplate.-->
#### Description

Similar to bug fixed at
83a6ed46e9,
this caused an incident at
https://github.com/SigNoz/platform-pod/issues/3011 that causes the
navigation to be back to pods after going to nodes category.

<!--Reference issues using `Closes #issue-number` to enable automatic
closure on merge. -->
#### Issues closed by this PR

Related to https://github.com/SigNoz/platform-pod/issues/3011

<!--If applicable, include screenshots or screen recordings that clearly
show the behavior before the change and the result after the change. -->
#### Screenshots / Screen Recordings

Before:


https://github.com/user-attachments/assets/ad9b70fb-350a-48de-8846-37a75457766e

After:


https://github.com/user-attachments/assets/5c6095b5-a387-4c28-adff-be0b45c993ef

<!--Anything reviewers should keep in mind while reviewing -->
#### Additional Information

<!--Please delete paragraphs that you did not use before submitting.-->

Because this issue is caused by de-sync between nuqs/react-router, this
is just a temporary fix, the best fix is to migrate to react-router to
v6.
2026-08-18 14:30:33 +00:00
Manika Malhotra
f6a9b4b1f6 feat(changelog): make links open in new tab (#12557)
#### Description

Currently, any external links such as link to the SigNoz docs open in
the same tab when linked in the changelog, taking the user away from the
changelog and the in-app context.

Opening the links in new tabs allows users to check out external sources
without losing the current context.

#### Issues closed by this PR

Closes https://github.com/SigNoz/growth-pod/issues/1267 


#### Screenshots / Screen Recordings



https://github.com/user-attachments/assets/3f3b19b2-c914-450e-b5a2-ae30ed78cb30


#### Additional Information

I checked if changing how we create changelog entries only can work, but
failed, markdown method to open in new tab didn't work
https://stackoverflow.com/questions/75633163/how-can-i-use-target-blank-in-an-external-link-on-mdx
2026-08-18 13:32:49 +00:00
Aditya Singh
b46f099966 fix(log-details): prevent scrollbar click closing log details drawer (#12603)
<!--A few plain bullets saying what changed and why, for a reviewer
skimming it - not a wall of text, not a restatement of the diff, not
generated boilerplate.-->
#### Description
Prevent log details drawer closing on clicking on scrollbar

<!--Reference issues using `Closes #issue-number` to enable automatic
closure on merge. -->
#### Issues closed by this PR
Closes https://github.com/SigNoz/engineering-pod/issues/5934
<!--If applicable, include screenshots or screen recordings that clearly
show the behavior before the change and the result after the change. -->
#### Screenshots / Screen Recordings
Before


https://github.com/user-attachments/assets/b59e2a64-951e-49eb-9b05-ae39f00991ae



After



https://github.com/user-attachments/assets/5eb89c95-fb76-49b7-9928-1bd13df16002
2026-08-18 12:24:31 +00:00
Aditya Singh
fcfc1923c3 feat(log-details): support json view for nested attributes + enable new log details (#12597)
<!--A few plain bullets saying what changed and why, for a reviewer
skimming it - not a wall of text, not a restatement of the diff, not
generated boilerplate.-->
#### Description
This PR adds functionality on top of the new log details drawer changes.
- Show JSON view for nested attributes instead of stringified json.
These dont support filter/group-by right now
- Change `resources.*` to `resource.*` to match traces and otel
convention
- remove groupBy for fields nested or not matching the following names:
'trace_id' and 'body'
- enables new log details experience for all users


<!--Reference issues using `Closes #issue-number` to enable automatic
closure on merge. -->
#### Issues closed by this PR
Closes https://github.com/SigNoz/engineering-pod/issues/5921
<!--If applicable, include screenshots or screen recordings that clearly
show the behavior before the change and the result after the change. -->
#### Screenshots / Screen Recordings



https://github.com/user-attachments/assets/876fb331-015d-42bb-83c7-5ff543ddadec
2026-08-18 11:26:43 +00:00
Gaurav Tewari
dc836bb67c chore: update dependencies resolution for e2e (#12594)
#### Description

- `tests/e2e` is a standalone pnpm project with no overrides of its own,
so `eslint-plugin-playwright > eslint > minimatch` resolved a vulnerable
`brace-expansion@5.0.5` (4 advisories, incl. CVE-2026-13149).
- Adds `tests/e2e/pnpm-workspace.yaml` flooring it to `>=5.0.9 <6`,
which stays inside `minimatch@10.2.5`'s `^5.0.5` range — no breaking
bump, and bumping minimatch instead wouldn't help (10.2.6 only widens to
`^5.0.8`).
- `pnpm audit` in `tests/e2e` now reports no known vulnerabilities.
- This also resolves the vulnerabilities reported by vanta


#### Issues closed by this PR


https://github.com/orgs/SigNoz/projects/39/views/20?pane=issue&itemId=230120135&issue=SigNoz%7Cengineering-pod%7C5925


#### Screenshots / Screen Recordings

#### Additional Information

Co-authored-by: Gaurav Tewari <tewarig@users.noreply.github.com>
2026-08-18 10:29:46 +00:00
46 changed files with 483 additions and 2703 deletions

View File

@@ -8,12 +8,19 @@ import {
import ChangelogRenderer from '../components/ChangelogRenderer';
// Mock react-markdown to just render children as plain text
// Mock react-markdown to render children as plain text and a sample
// anchor through the `components.a` override
jest.mock(
'react-markdown',
() =>
function ReactMarkdown({ children }: any) {
return <div>{children}</div>;
function ReactMarkdown({ children, components }: any) {
const Anchor = components?.a;
return (
<div>
{children}
{Anchor && <Anchor href="https://signoz.io/docs">docs</Anchor>}
</div>
);
},
);
@@ -62,4 +69,14 @@ describe('ChangelogRenderer', () => {
expect(screen.getByAltText('Media')).toBeInTheDocument();
expect(screen.getByText('Description for feature 1')).toBeInTheDocument();
});
it('renders markdown links that open in a new tab', () => {
render(<ChangelogRenderer changelog={mockChangelog} />);
const links = screen.getAllByRole('link', { name: 'docs' });
expect(links.length).toBeGreaterThan(0);
links.forEach((link) => {
expect(link).toHaveAttribute('target', '_blank');
expect(link).toHaveAttribute('rel', 'noopener noreferrer');
});
});
});

View File

@@ -13,6 +13,19 @@ interface Props {
changelog: ChangelogSchema;
}
interface LinkProps {
href?: string;
children?: React.ReactNode;
}
function Link({ href, children }: LinkProps): JSX.Element {
return (
<a href={href} target="_blank" rel="noopener noreferrer">
{children}
</a>
);
}
function renderMedia(media: Media): JSX.Element | null {
if (SupportedImageTypes.includes(media.ext)) {
return (
@@ -62,7 +75,9 @@ function ChangelogRenderer({ changelog }: Props): JSX.Element {
<div key={feature.id}>
<div className="changelog-renderer-section-title">{feature.title}</div>
{feature.media && renderMedia(feature.media)}
<ReactMarkdown>{feature.description}</ReactMarkdown>
<ReactMarkdown components={{ a: Link }}>
{feature.description}
</ReactMarkdown>
</div>
))}
</div>
@@ -71,7 +86,9 @@ function ChangelogRenderer({ changelog }: Props): JSX.Element {
<div className="changelog-renderer-bug-fixes">
<div className="changelog-renderer-section-title">Bug Fixes</div>
{changelog.bug_fixes && (
<ReactMarkdown>{changelog.bug_fixes}</ReactMarkdown>
<ReactMarkdown components={{ a: Link }}>
{changelog.bug_fixes}
</ReactMarkdown>
)}
</div>
)}
@@ -79,7 +96,9 @@ function ChangelogRenderer({ changelog }: Props): JSX.Element {
<div className="changelog-renderer-maintenance">
<div className="changelog-renderer-section-title">Maintenance</div>
{changelog.maintenance && (
<ReactMarkdown>{changelog.maintenance}</ReactMarkdown>
<ReactMarkdown components={{ a: Link }}>
{changelog.maintenance}
</ReactMarkdown>
)}
</div>
)}

View File

@@ -1,9 +1,5 @@
import getLocalStorage from 'api/browser/localstorage/get';
import { LOCALSTORAGE } from 'constants/localStorage';
// Temp feature flag before actual roll-out
export const isLogDetailsV2 =
getLocalStorage(LOCALSTORAGE.LOG_DETAILS_V2) === 'true';
// temporary flag to be removed with old log details code.
export const isLogDetailsV2 = true;
export const VIEW_TYPES = {
OVERVIEW: 'OVERVIEW',

View File

@@ -100,6 +100,7 @@ function LogDetailInner({
// Don't close if clicking on drawer content, overlays, or portal elements
if (
target.closest('[data-log-detail-ignore="true"]') ||
target.closest('.log-detail-drawer') ||
target.closest('.cm-tooltip-autocomplete') ||
target.closest('.drawer-popover') ||
target.closest('.query-status-popover') ||

View File

@@ -13,7 +13,6 @@ export enum LOCALSTORAGE {
TRACES_LIST_COLUMNS = 'TRACES_LIST_COLUMNS',
LOGS_LIST_COLUMNS = 'LOGS_LIST_COLUMNS',
LOGS_LIST_COLUMN_SIZING = 'LOGS_LIST_COLUMN_SIZING',
LOG_DETAILS_V2 = 'LOG_DETAILS_V2',
LOGGED_IN_USER_NAME = 'LOGGED_IN_USER_NAME',
LOGGED_IN_USER_EMAIL = 'LOGGED_IN_USER_EMAIL',
CHAT_SUPPORT = 'CHAT_SUPPORT',

View File

@@ -37,7 +37,7 @@ import { useInfraMonitoringFontSize } from './useInfraMonitoringTablePreferences
import styles from './K8sExpandedRow.module.scss';
import { buildExpressionFromGroupMeta } from './utils';
import { logInfraColumnSortedEvent } from 'container/InfraMonitoringK8sV2/Base/events';
import { getUnstableCurrentSearchParams } from 'container/TopNav/DateTimeSelectionV2/utils/getUnstableCurrentSearchParams';
import { getUnstableCurrentSearchParams } from 'utils/getUnstableCurrentSearchParams';
import { QueryParams } from 'constants/query';
const EXPANDED_ROW_LIMIT = 10;

View File

@@ -9,7 +9,11 @@ function Overview(): JSX.Element {
return (
<div className={styles.overview} data-testid="llm-observability-overview">
<DashboardContainer dashboard={dashboard} refetch={refetch} />
<DashboardContainer
dashboard={dashboard}
refetch={refetch}
canEditDashboardOverride={false}
/>
</div>
);
}

View File

@@ -1,7 +1,7 @@
{
"id": "llm-observability-overview",
"orgId": "",
"locked": true,
"locked": false,
"name": "AI Observability Overview",
"schemaVersion": "v6",
"source": "system",
@@ -1146,4 +1146,4 @@
}
]
}
}
}

View File

@@ -23,9 +23,9 @@ import { useLogAttributeActions } from './hooks/useLogAttributeActions';
import TableView from './TableView';
import {
aggregateAttributesResourcesToObject,
buildPrettyViewData,
getBodyDisplayString,
getSanitizedLogBody,
parseJsonStringBody,
removeEscapeCharacters,
} from './utils';
@@ -71,11 +71,7 @@ function Overview({
if (isLogDetailsV2) {
const raw = aggregateAttributesResourcesToObject(logData);
const prettyData = Object.fromEntries(
Object.entries({ ...raw, body: parseJsonStringBody(raw.body) }).filter(
([, value]) => value !== undefined,
),
);
const prettyData = buildPrettyViewData(raw);
return (
<div className="overview-container">
<DataViewer

View File

@@ -1,6 +1,6 @@
export enum LogAttributeBucket {
ATTRIBUTES = 'attributes',
RESOURCES = 'resources',
RESOURCES = 'resource',
SCOPE = 'scope',
}

View File

@@ -33,7 +33,7 @@ describe('buildLogFilterTarget', () => {
it('maps `resources` with Resource type', () => {
expect(
buildLogFilterTarget(['resources', 'service.name'], 'api', true),
buildLogFilterTarget(['resource', 'service.name'], 'api', true),
).toMatchObject({
fieldKey: 'service.name',
metricsType: MetricsType.Resource,
@@ -53,6 +53,30 @@ describe('buildLogFilterTarget', () => {
});
});
describe('nested attribute values (parsed JSON)', () => {
it('marks a sub-field of a parsed attribute copy-only (restricted, no group-by)', () => {
const t = buildLogFilterTarget(['attributes', 'payload', 'x'], 1, true);
expect(t.isRestricted).toBe(true);
expect(t.groupBySupported).toBe(false);
expect(t.groupByKey).toBeUndefined();
});
it('leaves a top-level attribute (depth 2) filterable', () => {
const t = buildLogFilterTarget(['attributes', 'payload'], 'v', true);
expect(t.isRestricted).toBe(false);
expect(t.groupBySupported).toBe(true);
});
it('does not restrict nested resource/scope values', () => {
expect(
buildLogFilterTarget(['resource', 'k8s', 'pod'], 'p', true).isRestricted,
).toBe(false);
expect(
buildLogFilterTarget(['scope', 'a', 'b'], 'v', true).isRestricted,
).toBe(false);
});
});
describe('restricted fields (timestamp / id)', () => {
it.each(['timestamp', 'id'])(
'marks %s restricted with no group-by',
@@ -65,6 +89,30 @@ describe('buildLogFilterTarget', () => {
);
});
describe('group-by-restricted fields (trace_id)', () => {
it('allows filtering but not group-by on top-level trace_id', () => {
const t = buildLogFilterTarget(['trace_id'], 'abc123', true);
expect(t.isRestricted).toBe(false);
expect(t.filterInOperator).toBe('=');
expect(t.groupBySupported).toBe(false);
expect(t.groupByKey).toBeUndefined();
});
it.each([
['resource', ['resource', 'trace_id']],
['attributes', ['attributes', 'trace_id']],
])(
'blocks group-by on a %s field named trace_id, keeping filter',
(_bucket, path) => {
const t = buildLogFilterTarget(path as string[], 'abc123', true);
expect(t.isRestricted).toBe(false);
expect(t.filterInOperator).toBe('=');
expect(t.groupBySupported).toBe(false);
expect(t.groupByKey).toBeUndefined();
},
);
});
describe('body scalars', () => {
it('maps a top-level body scalar to body.<key> with =/!=, groupable when json body on', () => {
const t = buildLogFilterTarget(['body', 'message'], 'hello', true);

View File

@@ -5,7 +5,10 @@ import {
QUERY_BUILDER_FUNCTIONS,
} from 'constants/antlrQueryConstants';
import { OPERATORS as QUERY_BUILDER_OPERATORS } from 'constants/queryBuilder';
import { RESTRICTED_SELECTED_FIELDS } from 'container/LogsFilters/config';
import {
RESTRICTED_GROUP_BY_FIELDS,
RESTRICTED_SELECTED_FIELDS,
} from 'container/LogsFilters/config';
import { MetricsType } from 'container/MetricsApplication/constant';
import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
import { chooseAutocompleteFromCustomValue } from 'lib/newQueryBuilder/chooseAutocompleteFromCustomValue';
@@ -83,15 +86,24 @@ export const buildLogFilterTarget = (
if (root !== 'body') {
const fieldKey =
fieldKeyPath.length > 1 ? fieldKeyPath.slice(1).join('.') : String(root);
const isRestricted = RESTRICTED_SELECTED_FIELDS.includes(fieldKey);
// Temporarily removing filter/group-by support for nested attributes.
// This will be removed once backend starts to support these actions.
const isNestedAttributeValue =
root === LogAttributeBucket.ATTRIBUTES && fieldKeyPath.length > 2;
const isRestricted =
RESTRICTED_SELECTED_FIELDS.includes(fieldKey) || isNestedAttributeValue;
const groupBySupported =
!isRestricted && !RESTRICTED_GROUP_BY_FIELDS.includes(fieldKey);
return {
fieldKey,
filterInOperator: OPERATORS['='],
filterOutOperator: OPERATORS['!='],
dataType: getDataTypes(value),
metricsType: metricsTypeForRoot(root),
groupBySupported: !isRestricted,
groupByKey: isRestricted ? undefined : fieldKey,
groupBySupported,
groupByKey: groupBySupported ? fieldKey : undefined,
isRestricted,
};
}

View File

@@ -3,45 +3,79 @@ import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
import {
aggregateAttributesResourcesToObject,
buildPrettyViewData,
flattenObject,
getDataTypes,
getSanitizedLogBody,
parseJsonStringBody,
parseJsonStringValue,
recursiveParseJSON,
} from './utils';
describe('parseJsonStringBody', () => {
describe('parseJsonStringValue', () => {
it('parses a JSON-object string into an object', () => {
expect(parseJsonStringBody('{"a":1,"b":{"c":2}}')).toStrictEqual({
expect(parseJsonStringValue('{"a":1,"b":{"c":2}}')).toStrictEqual({
a: 1,
b: { c: 2 },
});
});
it('parses a JSON-array string into an array', () => {
expect(parseJsonStringBody('[1,2,3]')).toStrictEqual([1, 2, 3]);
expect(parseJsonStringValue('[1,2,3]')).toStrictEqual([1, 2, 3]);
});
it('returns a plain (non-JSON) string unchanged', () => {
expect(parseJsonStringBody('plain log line')).toBe('plain log line');
expect(parseJsonStringValue('plain log line')).toBe('plain log line');
});
it('returns a string that is not object/array-looking unchanged', () => {
expect(parseJsonStringBody('42')).toBe('42');
expect(parseJsonStringValue('42')).toBe('42');
});
it('returns an invalid JSON string unchanged', () => {
expect(parseJsonStringBody('{not valid}')).toBe('{not valid}');
expect(parseJsonStringValue('{not valid}')).toBe('{not valid}');
});
it('returns an already-object body unchanged (same reference)', () => {
const body = { message: 'hi', a: 1 };
expect(parseJsonStringBody(body)).toBe(body);
it('returns an already-object value unchanged (same reference)', () => {
const value = { message: 'hi', a: 1 };
expect(parseJsonStringValue(value)).toBe(value);
});
it('leaves a body larger than the 128KB parse guard as a string', () => {
it('leaves a value larger than the 128KB parse guard as a string', () => {
const huge = `{"x":"${'a'.repeat(130 * 1024)}"}`;
expect(parseJsonStringBody(huge)).toBe(huge);
expect(parseJsonStringValue(huge)).toBe(huge);
});
});
describe('buildPrettyViewData', () => {
const baseRaw = {
id: 'log-1',
timestamp: 1234,
body: 'hello',
attributes: {},
resource: {},
scope: {},
} as any;
it('parses a JSON-string body into a tree', () => {
const result = buildPrettyViewData({ ...baseRaw, body: '{"a":1}' });
expect(result.body).toStrictEqual({ a: 1 });
});
it('parses attribute values that are JSON strings, leaves others as-is', () => {
const result = buildPrettyViewData({
...baseRaw,
attributes: { payload: '{"x":1}', name: 'cart', count: 3 },
});
expect(result.attributes).toStrictEqual({
payload: { x: 1 },
name: 'cart',
count: 3,
});
});
it('drops undefined fields so they do not render as empty rows', () => {
const result = buildPrettyViewData({ ...baseRaw, trace_id: undefined });
expect('trace_id' in result).toBe(false);
});
});
@@ -65,7 +99,7 @@ describe('aggregateAttributesResourcesToObject', () => {
'http.method': 'GET',
retries: 3,
});
expect(result.resources).toStrictEqual({ 'service.name': 'cart' });
expect(result.resource).toStrictEqual({ 'service.name': 'cart' });
expect(result.scope).toStrictEqual({ lib: 'otel' });
expect(result.body).toBe('hello');
expect(result.id).toBe('log-1');

View File

@@ -276,7 +276,7 @@ export const aggregateAttributesResourcesToObject = (
traceFlags: logData.traceFlags,
traceId: logData.traceId,
attributes: {},
resources: {},
resource: {},
scope: {},
severity_text: logData.severity_text,
severity_number: logData.severity_number,
@@ -290,8 +290,8 @@ export const aggregateAttributesResourcesToObject = (
outputJson.attributes = outputJson.attributes || {};
Object.assign(outputJson.attributes, logData[key as keyof ILog]);
} else if (key.startsWith('resources_')) {
outputJson.resources = outputJson.resources || {};
Object.assign(outputJson.resources, logData[key as keyof ILog]);
outputJson.resource = outputJson.resource || {};
Object.assign(outputJson.resource, logData[key as keyof ILog]);
} else if (key.startsWith('scope_string')) {
outputJson.scope = outputJson.scope || {};
Object.assign(outputJson.scope, logData[key as keyof ILog]);
@@ -315,30 +315,57 @@ export const aggregateAttributesResourcesToString = (logData: ILog): string => {
}
};
const MAX_JSON_BODY_PARSE_BYTES = 128 * 1024;
const MAX_JSON_PARSE_BYTES = 128 * 1024;
// A JSON-encoded object/array `body` is parsed so DataViewer renders it as a
// tree instead of one escaped string; plain-text bodies are returned unchanged.
// A JSON-encoded object/array string is parsed so DataViewer renders it as a tree
// instead of one escaped string; non-JSON / plain-text values are returned unchanged.
// Guarded against very large payloads.
export const parseJsonStringBody = (body: ILog['body']): ILog['body'] => {
if (typeof body !== 'string') {
return body;
export const parseJsonStringValue = (value: unknown): unknown => {
if (typeof value !== 'string') {
return value;
}
const trimmed = body.trim();
const trimmed = value.trim();
const looksLikeJson = trimmed.startsWith('{') || trimmed.startsWith('[');
if (!looksLikeJson || trimmed.length > MAX_JSON_BODY_PARSE_BYTES) {
return body;
if (!looksLikeJson || trimmed.length > MAX_JSON_PARSE_BYTES) {
return value;
}
try {
const parsed = JSON.parse(trimmed);
return parsed !== null && typeof parsed === 'object'
? (parsed as ILogBody)
: body;
return parsed !== null && typeof parsed === 'object' ? parsed : value;
} catch {
return body;
return value;
}
};
// Parse each attribute value that's a stringified JSON string into an object
// Non-JSON values are left unchanged.
const parseAttributeJsonValues = (
attributes: Record<string, unknown>,
): Record<string, unknown> => {
const parsed: Record<string, unknown> = {};
Object.keys(attributes).forEach((key) => {
parsed[key] = parseJsonStringValue(attributes[key]);
});
return parsed;
};
export const buildPrettyViewData = (
raw: ILogAggregateAttributesResources,
): Record<string, unknown> => {
const prettyData: Record<string, unknown> = { ...raw };
prettyData.body = parseJsonStringValue(raw.body);
prettyData.attributes = parseAttributeJsonValues(raw.attributes);
// drop undefined fields so they don't render as empty rows
Object.keys(prettyData).forEach((key) => {
if (prettyData[key] === undefined) {
delete prettyData[key];
}
});
return prettyData;
};
const isFloat = (num: number): boolean => num % 1 !== 0;
const isBooleanString = (str: string): boolean =>

View File

@@ -2,6 +2,9 @@ import { blue, red } from '@ant-design/colors';
export const RESTRICTED_SELECTED_FIELDS = ['timestamp', 'id'];
// Fields that can be filtered on but not grouped by in the log details view.
export const RESTRICTED_GROUP_BY_FIELDS = ['body', 'trace_id'];
export const ICON_STYLE = {
PLUS: { color: blue[5] },
CLOSE: { color: red[5] },

View File

@@ -10,7 +10,7 @@ import DateTimeSelection from '../index';
import {
__resetSearchParamsGetter,
__setSearchParamsGetterForTest,
} from '../utils/getUnstableCurrentSearchParams';
} from 'utils/getUnstableCurrentSearchParams';
import { queryClient, TestWrapper } from './testUtils';
const mockSafeNavigate = jest.fn();

View File

@@ -10,7 +10,7 @@ import DateTimeSelection from '../index';
import {
__resetSearchParamsGetter,
__setSearchParamsGetterForTest,
} from '../utils/getUnstableCurrentSearchParams';
} from 'utils/getUnstableCurrentSearchParams';
import { queryClient, TestWrapper } from './testUtils';
const mockSafeNavigate = jest.fn();

View File

@@ -24,7 +24,7 @@ import DateTimeSelection from '../index';
import {
__resetSearchParamsGetter,
__setSearchParamsGetterForTest,
} from '../utils/getUnstableCurrentSearchParams';
} from 'utils/getUnstableCurrentSearchParams';
const queryClient = new QueryClient({
defaultOptions: {

View File

@@ -5,7 +5,7 @@ import DateTimeSelection from '../index';
import {
__resetSearchParamsGetter,
__setSearchParamsGetterForTest,
} from '../utils/getUnstableCurrentSearchParams';
} from 'utils/getUnstableCurrentSearchParams';
import { queryClient, TestWrapper } from './testUtils';
const mockSafeNavigate = jest.fn();

View File

@@ -10,7 +10,7 @@ import DateTimeSelection from '../index';
import {
__resetSearchParamsGetter,
__setSearchParamsGetterForTest,
} from '../utils/getUnstableCurrentSearchParams';
} from 'utils/getUnstableCurrentSearchParams';
import { queryClient, TestWrapper, createMockMoment } from './testUtils';
const mockSafeNavigate = jest.fn();

View File

@@ -54,7 +54,7 @@ import {
Time,
TimeRange,
} from './types';
import { getUnstableCurrentSearchParams } from './utils/getUnstableCurrentSearchParams';
import { getUnstableCurrentSearchParams } from 'utils/getUnstableCurrentSearchParams';
import './DateTimeSelectionV2.styles.scss';

View File

@@ -189,7 +189,8 @@ function DashboardActions({
onClick: (): void => void handleClone(),
});
}
if (isAuthor || user.role === USER_ROLES.ADMIN) {
if (canEditDashboard && (isAuthor || user.role === USER_ROLES.ADMIN)) {
dashboardGroup.push({
key: 'lock',
label: isDashboardLocked ? 'Unlock dashboard' : 'Lock dashboard',

View File

@@ -46,23 +46,11 @@ beforeAll(() => {
});
// jest.config maps the real hook to a no-op mock; this suite needs real navigation.
jest.mock('hooks/useSafeNavigate', () => {
const { useHistory } = jest.requireActual('react-router-dom');
return {
useSafeNavigate: (): unknown => {
const history = useHistory();
return {
safeNavigate: (to: string, opts?: { replace?: boolean }): void => {
if (opts?.replace) {
history.replace(to);
} else {
history.push(to);
}
},
};
},
};
});
jest.mock('hooks/useSafeNavigate', () =>
jest
.requireActual('tests/browser-history-safe-navigate')
.createBrowserHistorySafeNavigateMock(),
);
jest.mock('api/querySuggestions/getKeySuggestions', () => ({
getKeySuggestions: jest
@@ -204,9 +192,12 @@ function Harness(): JSX.Element {
);
}
const INITIAL_ROUTE = '/dashboard/dash-1';
const renderHarness = (): void => {
window.history.replaceState(null, '', INITIAL_ROUTE);
render(
<MemoryRouter initialEntries={['/dashboard/dash-1']}>
<MemoryRouter initialEntries={[INITIAL_ROUTE]}>
<CompatRouter>
<QueryClientProvider client={new QueryClient()}>
<ReduxProvider store={configureStore([])(appStore.getState())}>

View File

@@ -16,23 +16,11 @@ import ViewPanelModal from '../ViewPanelModal/ViewPanelModal';
import { useViewPanel } from '../hooks/useViewPanel';
// jest.config maps the real hook to a no-op mock; this suite needs real navigation.
jest.mock('hooks/useSafeNavigate', () => {
const { useHistory } = jest.requireActual('react-router-dom');
return {
useSafeNavigate: (): unknown => {
const history = useHistory();
return {
safeNavigate: (to: string, opts?: { replace?: boolean }): void => {
if (opts?.replace) {
history.replace(to);
} else {
history.push(to);
}
},
};
},
};
});
jest.mock('hooks/useSafeNavigate', () =>
jest
.requireActual('tests/browser-history-safe-navigate')
.createBrowserHistorySafeNavigateMock(),
);
jest.mock(
'pages/DashboardPageV2/DashboardContainer/hooks/usePanelQuery',
@@ -150,9 +138,12 @@ function Harness(): JSX.Element {
);
}
const INITIAL_ROUTE = '/dashboard/dash-1';
const renderHarness = (): void => {
window.history.replaceState(null, '', INITIAL_ROUTE);
render(
<MemoryRouter initialEntries={['/dashboard/dash-1']}>
<MemoryRouter initialEntries={[INITIAL_ROUTE]}>
<CompatRouter>
<QueryClientProvider client={new QueryClient()}>
<ReduxProvider store={configureStore([])(appStore.getState())}>

View File

@@ -14,23 +14,11 @@ import { useViewPanelMode } from '../ViewPanelModal/useViewPanelMode';
import { useViewPanel } from '../hooks/useViewPanel';
// jest.config maps the real hook to a no-op mock; this suite needs real navigation.
jest.mock('hooks/useSafeNavigate', () => {
const { useHistory } = jest.requireActual('react-router-dom');
return {
useSafeNavigate: (): unknown => {
const history = useHistory();
return {
safeNavigate: (to: string, opts?: { replace?: boolean }): void => {
if (opts?.replace) {
history.replace(to);
} else {
history.push(to);
}
},
};
},
};
});
jest.mock('hooks/useSafeNavigate', () =>
jest
.requireActual('tests/browser-history-safe-navigate')
.createBrowserHistorySafeNavigateMock(),
);
jest.mock(
'pages/DashboardPageV2/DashboardContainer/hooks/usePanelQuery',
@@ -184,9 +172,12 @@ function Harness(): JSX.Element {
);
}
const INITIAL_ROUTE = '/dashboard/dash-1';
const renderHarness = (): void => {
window.history.replaceState(null, '', INITIAL_ROUTE);
render(
<MemoryRouter initialEntries={['/dashboard/dash-1']}>
<MemoryRouter initialEntries={[INITIAL_ROUTE]}>
<CompatRouter>
<QueryBuilderProvider>
<Harness />

View File

@@ -19,11 +19,20 @@ import { resolveDashboardImage } from 'pages/DashboardPageV2/DashboardContainer/
interface DashboardContainerProps {
dashboard: DashboardtypesGettableDashboardV2DTO;
refetch: () => void;
/**
* @deprecated
* `canEditDashboardOverride` is a temporary solution to allow the dashboard to be view only.
* This is only used for LLM Observability.
* It will be removed in the future.
* TODO: @Ashwin / @Abhi — remove when the final solution is implemented.
*/
canEditDashboardOverride?: boolean;
}
function DashboardContainer({
dashboard,
refetch,
canEditDashboardOverride,
}: DashboardContainerProps): JSX.Element {
const spec = dashboard.spec;
const image = resolveDashboardImage(dashboard.image);
@@ -45,10 +54,11 @@ function DashboardContainer({
// Seed during render (not an effect) so the first Panel render already sees the id —
// useDashboardFetchRequired throws on a missing id. setEditContext self-guards.
const setEditContext = useDashboardStore((s) => s.setEditContext);
setEditContext({
dashboardId: dashboard.id,
isLocked,
canEditDashboard,
canEditDashboard: canEditDashboardOverride ?? canEditDashboard,
refetch,
});

View File

@@ -37,7 +37,6 @@ import { OptionsQuery } from 'container/OptionsMenu/types';
import { useGetCompositeQueryParam } from 'hooks/queryBuilder/useGetCompositeQueryParam';
import { updateStepInterval } from 'hooks/queryBuilder/useStepInterval';
import { useSafeNavigate } from 'hooks/useSafeNavigate';
import useUrlQuery from 'hooks/useUrlQuery';
import { createIdFromObjectFields } from 'lib/createIdFromObjectFields';
import { createNewBuilderItemName } from 'lib/newQueryBuilder/createNewBuilderItemName';
import { getOperatorsBySourceAndPanelType } from 'lib/newQueryBuilder/getOperatorsBySourceAndPanelType';
@@ -66,6 +65,7 @@ import {
} from 'types/common/queryBuilder';
import { sanitizeOrderByForExplorer } from 'utils/sanitizeOrderBy';
import { v4 as uuid } from 'uuid';
import { getUnstableCurrentSearchParams } from 'utils/getUnstableCurrentSearchParams';
export const QueryBuilderContext = createContext<QueryBuilderContextType>({
currentQuery: initialQueriesMap.metrics,
@@ -105,7 +105,6 @@ export const QueryBuilderContext = createContext<QueryBuilderContextType>({
export function QueryBuilderProvider({
children,
}: PropsWithChildren): JSX.Element {
const urlQuery = useUrlQuery();
const location = useLocation();
const currentPathnameRef = useRef<string | null>(location.pathname);
@@ -122,7 +121,7 @@ export function QueryBuilderProvider({
null,
);
const panelTypeQueryParams = urlQuery.get(
const panelTypeQueryParams = getUnstableCurrentSearchParams().get(
QueryParams.panelTypes,
) as PANEL_TYPES | null;
@@ -976,6 +975,7 @@ export function QueryBuilderProvider({
unit: query.unit || initialQueryState.unit,
};
const urlQuery = getUnstableCurrentSearchParams();
const pagination = urlQuery.get(QueryParams.pagination);
if (pagination) {
@@ -1014,7 +1014,7 @@ export function QueryBuilderProvider({
safeNavigate(generatedUrl, { newTab });
},
[location.pathname, safeNavigate, urlQuery],
[location.pathname, safeNavigate],
);
const handleSetConfig = useCallback(

View File

@@ -0,0 +1,54 @@
// Mock factory for suites that need `useSafeNavigate` to navigate for real.
//
// `jest.config.ts` maps every `hooks/useSafeNavigate` import to the no-op
// `__tests__/safeNavigateMock.ts`, so a suite that drives navigation has to opt
// out with its own `jest.mock`.
//
// In production `safeNavigate` goes through `createBrowserHistory`, which writes
// `window.location` as well as notifying the router. `MemoryRouter` never touches
// `window`, so anything reading `getUnstableCurrentSearchParams()` sees an empty
// search and drops the params the test just navigated with. This mock writes both.
//
// The `jest.mock` factory is hoisted above imports, so require it inside:
//
// jest.mock('hooks/useSafeNavigate', () =>
// jest
// .requireActual('tests/browser-history-safe-navigate')
// .createBrowserHistorySafeNavigateMock(),
// );
import type { History } from 'history';
interface SafeNavigateOptions {
replace?: boolean;
}
interface UseSafeNavigateModule {
useSafeNavigate: () => {
safeNavigate: (to: string, options?: SafeNavigateOptions) => void;
};
}
export function createBrowserHistorySafeNavigateMock(): UseSafeNavigateModule {
const { useHistory } = jest.requireActual<{ useHistory: () => History }>(
'react-router-dom',
);
return {
useSafeNavigate: () => {
const history = useHistory();
return {
safeNavigate: (to: string, options?: SafeNavigateOptions): void => {
if (options?.replace) {
window.history.replaceState(null, '', to);
history.replace(to);
} else {
window.history.pushState(null, '', to);
history.push(to);
}
},
};
},
};
}

View File

@@ -41,6 +41,6 @@ type OmitAttributesResources = Pick<
export type ILogAggregateAttributesResources = OmitAttributesResources & {
attributes: Record<string, never>;
resources: Record<string, never>;
resource: Record<string, never>;
scope: Record<string, never>;
};

View File

@@ -7,7 +7,6 @@ import (
"fmt"
"log/slog"
"net/http"
"net/url"
"unicode/utf8"
"github.com/SigNoz/signoz/pkg/alertmanager/alertmanagertemplate"
@@ -186,18 +185,7 @@ func (n *Notifier) Notify(ctx context.Context, alerts ...*types.Alert) (bool, er
}
}
// Thread same-rule alerts together: threadKey is a stable hash of the
// alert group key. Changing a rule's grouping starts a new thread.
u, err := url.Parse(n.conf.WebhookURL.String())
if err != nil {
return false, errors.WrapInternalf(err, errors.CodeInternal, "parse google chat webhook url")
}
q := u.Query()
q.Set("threadKey", key.Hash())
q.Set("messageReplyOption", "REPLY_MESSAGE_FALLBACK_TO_NEW_THREAD")
u.RawQuery = q.Encode()
resp, err := notify.PostJSON(ctx, n.client, u.String(), buf) //nolint:bodyclose
resp, err := notify.PostJSON(ctx, n.client, n.conf.WebhookURL.String(), buf) //nolint:bodyclose
if err != nil {
return true, notify.RedactURL(err)
}

View File

@@ -245,7 +245,7 @@ func TestGoogleChatMessageSizeLimit(t *testing.T) {
assert.LessOrEqual(t, bodyLen, maxMessageBytes, "posted body must be within the size limit")
}
func TestGoogleChatThreading(t *testing.T) {
func TestGoogleChatWebhookURLVerbatim(t *testing.T) {
var query url.Values
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
query = r.URL.Query()
@@ -253,25 +253,11 @@ func TestGoogleChatThreading(t *testing.T) {
}))
defer server.Close()
cases := []struct{ name, groupKey string }{
{"rule a", "{ruleId=\"aaa\"}"},
{"rule b", "{ruleId=\"bbb\"}"},
}
seen := map[string]string{}
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
n := newTestNotifier(t, server.URL, "T", "")
ctx := notify.WithGroupKey(context.Background(), c.groupKey)
_, err := n.Notify(ctx, newTestAlerts("X")...)
require.NoError(t, err)
n := newTestNotifier(t, server.URL+"?key=abc&token=xyz", "T", "")
_, err := n.Notify(newTestContext(), newTestAlerts("X")...)
require.NoError(t, err)
assert.Equal(t, "REPLY_MESSAGE_FALLBACK_TO_NEW_THREAD", query.Get("messageReplyOption"))
threadKey := query.Get("threadKey")
assert.Equal(t, notify.Key(c.groupKey).Hash(), threadKey, "threadKey must be the group key hash")
seen[c.name] = threadKey
})
}
assert.NotEqual(t, seen["rule a"], seen["rule b"], "distinct group keys must yield distinct threadKeys")
assert.Equal(t, url.Values{"key": {"abc"}, "token": {"xyz"}}, query, "configured webhook URL must be posted verbatim, with no params added")
}
func TestGoogleChatCustomTemplateMarkdown(t *testing.T) {

View File

@@ -82,12 +82,6 @@ func (q *builderQuery[T]) Fingerprint() string {
return ""
}
// AI trace aggregations qualify and rank traces on whole-window per-trace
// values, which do not decompose into cacheable time buckets.
if q.queryType == qbtypes.QueryTypeBuilderAI {
return ""
}
// Create a deterministic fingerprint for builder queries
// This needs to include all fields that affect the query results
parts := []string{q.queryType.StringValue()}

View File

@@ -117,7 +117,8 @@ func TestBuilderQueryFingerprintQueryType(t *testing.T) {
}
assert.True(t, strings.HasPrefix(regular.Fingerprint(), qbtypes.QueryTypeBuilder.StringValue()+"&"))
assert.Empty(t, ai.Fingerprint())
assert.True(t, strings.HasPrefix(ai.Fingerprint(), qbtypes.QueryTypeBuilderAI.StringValue()+"&"))
assert.NotEqual(t, regular.Fingerprint(), ai.Fingerprint())
}
func TestMakeBucketsOrder(t *testing.T) {

View File

@@ -994,8 +994,8 @@ func TestBuild_TraceList_MultiVariantGateKey(t *testing.T) {
assert.Contains(t, got, "mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_number, 'gen_ai.tool.name')")
}
// A `trace.`-prefixed aggregate in the filter box and the same condition in the
// explicit Having box build the same query; output-only aggregates are rejected.
// `trace.` marks a trace-level aggregate; `tracefield.` routes trace-level too but is
// not a rewritable alias, so the HAVING rewriter rejects it.
func TestBuild_TraceList_TraceContextPrefix(t *testing.T) {
b := newTestBuilder(t)
build := func(q qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]) (*qbtypes.Statement, error) {
@@ -1003,14 +1003,19 @@ func TestBuild_TraceList_TraceContextPrefix(t *testing.T) {
return b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTrace, q, nil)
}
viaTrace, err := build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
_, err := build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Filter: &qbtypes.Filter{Expression: "trace.output_tokens > 1000"}})
require.NoError(t, err)
viaHaving, err := build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Having: &qbtypes.Having{Expression: "trace.output_tokens > 1000"}})
require.NoError(t, err)
assert.Equal(t, viaTrace.Query, viaHaving.Query)
_, err = build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Filter: &qbtypes.Filter{Expression: "tracefield.output_tokens > 1000"}})
require.Error(t, err)
assert.Contains(t, err.Error(), "Invalid references in `Having` expression: [tracefield.output_tokens]")
_, err = build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Having: &qbtypes.Having{Expression: "tracefield.output_tokens > 1000"}})
require.Error(t, err)
assert.Contains(t, err.Error(), "Invalid references in `Having` expression: [tracefield.output_tokens]")
_, err = build(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Filter: &qbtypes.Filter{Expression: "trace.span_count > 3"}})
@@ -1018,8 +1023,7 @@ func TestBuild_TraceList_TraceContextPrefix(t *testing.T) {
assert.Contains(t, err.Error(), "cannot be used")
}
// Query variables in a trace-level condition resolve like span filters: bound args,
// list/IN handling, dynamic __all__ dropping the condition.
// Query variables in a trace-level condition are substituted into the HAVING.
func TestBuild_TraceList_VariableInAggregateFilter(t *testing.T) {
b := newTestBuilder(t)
build := func(expr string, vars map[string]qbtypes.VariableItem) (*qbtypes.Statement, error) {
@@ -1031,18 +1035,17 @@ func TestBuild_TraceList_VariableInAggregateFilter(t *testing.T) {
}, vars)
}
// scalar variable -> bound arg via the filter pipeline
// scalar variable -> literal in HAVING
stmt, err := build("trace.output_tokens > $threshold",
map[string]qbtypes.VariableItem{"threshold": {Value: 700}})
require.NoError(t, err)
assert.Contains(t, stmt.Query, "HAVING output_tokens > ?")
assert.Contains(t, stmt.Args, float64(700))
assert.Contains(t, stmt.Query, "HAVING output_tokens > 700")
// list variable with IN
stmt, err = build("trace.llm_call_count IN $counts",
map[string]qbtypes.VariableItem{"counts": {Value: []any{1, 2}}})
require.NoError(t, err)
assert.Contains(t, stmt.Query, "HAVING llm_call_count IN (?, ?)")
assert.Contains(t, stmt.Query, "HAVING llm_call_count IN")
// dynamic __all__ -> condition dropped, no HAVING at all
stmt, err = build("trace.output_tokens > $threshold",
@@ -1050,7 +1053,7 @@ func TestBuild_TraceList_VariableInAggregateFilter(t *testing.T) {
require.NoError(t, err)
assert.NotContains(t, stmt.Query, "HAVING")
// unresolved variable -> rejected, though only as an unknown aggregate today
// unresolved variable -> rejected, not compared as a literal
_, err = build("trace.output_tokens > $missing", map[string]qbtypes.VariableItem{"other": {Value: 1}})
require.Error(t, err)
}

View File

@@ -1,753 +0,0 @@
package aistatementbuilder
import (
"context"
"testing"
"time"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
// The builder assumes at least one aggregation; request validation is what enforces it.
func TestBuild_Aggregation_NoAggregations_RejectedByRequestValidation(t *testing.T) {
for _, rt := range []qbtypes.RequestType{qbtypes.RequestTypeScalar, qbtypes.RequestTypeTimeSeries} {
req := qbtypes.QueryRangeRequest{
Start: testStartMs,
End: testEndMs,
RequestType: rt,
CompositeQuery: qbtypes.CompositeQuery{
Queries: []qbtypes.QueryEnvelope{{
Type: qbtypes.QueryTypeBuilderAI,
Spec: qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Name: "A",
Signal: telemetrytypes.SignalTraces,
StepInterval: qbtypes.Step{Duration: 60 * time.Second},
},
}},
},
}
require.ErrorContains(t, req.Validate(), "at least one aggregation is required", rt.StringValue())
}
}
// Traces without token spans yield NULL, which the outer avg skips.
func TestBuild_FullSQL_Scalar_TraceAgg(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __scoped_traces AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
)
SELECT avg(output_tokens) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// A span-level filter is ANDed into the per-trace scan's WHERE, next to the gate mask.
func TestBuild_FullSQL_Scalar_SpanFilter(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "gen_ai.request.model = 'gpt-4o-mini'"},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __scoped_traces AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND (attributes_string['gen_ai.request.model'] = 'gpt-4o-mini' AND mapContains(attributes_string, 'gen_ai.request.model'))
GROUP BY trace_id
)
SELECT avg(output_tokens) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// A trace-level filter qualifies first: __qualified holds the trace ids whose
// whole-window value passes, and the per-trace scan is constrained to them.
func TestBuild_FullSQL_Scalar_TraceFilter(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "trace.output_tokens > 1000"},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __qualified AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING output_tokens > 1000
),
__scoped_traces AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id
)
SELECT avg(output_tokens) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// Grouping by an intrinsic: the positional alias keeps `toString(name) AS name` (a cyclic
// alias) from forming, and an order key on the dimension resolves to that alias.
func TestBuild_FullSQL_Scalar_GroupByIntrinsic(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
GroupBy: []qbtypes.GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "name"}}},
Order: []qbtypes.OrderBy{{Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "name"}}, Direction: qbtypes.OrderDirectionAsc}},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __scoped_traces AS (
SELECT trace_id,
toString(multiIf(name <> '', toString(name), NULL)) AS __GROUP_BY_KEY_0_name,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id, __GROUP_BY_KEY_0_name
)
SELECT __GROUP_BY_KEY_0_name, avg(output_tokens) AS __result_0
FROM __scoped_traces
GROUP BY __GROUP_BY_KEY_0_name
ORDER BY __GROUP_BY_KEY_0_name asc
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// Every dimension at once; the HAVING on the alias is rewritten to __result_0.
func TestBuild_FullSQL_Scalar_FullCombo(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{
{Expression: "avg(trace.output_tokens)", Alias: "avg_out"},
{Expression: "count(trace.trace_id)"},
},
Filter: &qbtypes.Filter{Expression: "gen_ai.request.model = 'gpt-4o-mini' AND trace.total_tokens > 100"},
GroupBy: []qbtypes.GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "gen_ai.request.model"}}},
Having: &qbtypes.Having{Expression: "avg_out > 50"},
Order: []qbtypes.OrderBy{{Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "avg_out"}}, Direction: qbtypes.OrderDirectionDesc}},
Limit: 5,
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __qualified AS (
SELECT trace_id,
coalesce(sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.input_tokens'), toFloat64(attributes_number['gen_ai.usage.input_tokens']), NULL)), 0) + coalesce(sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)), 0) AS total_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING total_tokens > 100
),
__scoped_traces AS (
SELECT trace_id,
toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)) AS __GROUP_BY_KEY_0_gen_ai.request.model,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND (attributes_string['gen_ai.request.model'] = 'gpt-4o-mini' AND mapContains(attributes_string, 'gen_ai.request.model'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id, __GROUP_BY_KEY_0_gen_ai.request.model
)
SELECT __GROUP_BY_KEY_0_gen_ai.request.model, avg(output_tokens) AS __result_0, count(trace_id) AS __result_1
FROM __scoped_traces
GROUP BY __GROUP_BY_KEY_0_gen_ai.request.model
HAVING __result_0 > 50
ORDER BY __result_0 desc
LIMIT 5
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// Time series: the per-trace scan buckets by span time, the outer aggregation per bucket.
func TestBuild_FullSQL_TimeSeries_TraceAgg(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTimeSeries,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
StepInterval: qbtypes.Step{Duration: 60 * time.Second},
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __scoped_traces AS (
SELECT trace_id,
toStartOfInterval(timestamp, INTERVAL 60 SECOND) AS ts,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id, ts
)
SELECT ts, avg(output_tokens) AS __result_0
FROM __scoped_traces
GROUP BY ts
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// A grouped, limited time series ranks groups on unbucketed whole-window values
// (__scoped_traces_total), so a non-composable aggregate like avg ranks exactly.
func TestBuild_FullSQL_TimeSeries_GroupLimit(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTimeSeries,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
StepInterval: qbtypes.Step{Duration: 60 * time.Second},
Aggregations: []qbtypes.TraceAggregation{{Expression: "sum(trace.output_tokens)", Alias: "total_out"}},
GroupBy: []qbtypes.GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "gen_ai.request.model"}}},
Having: &qbtypes.Having{Expression: "total_out > 500"},
Order: []qbtypes.OrderBy{{Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "total_out"}}, Direction: qbtypes.OrderDirectionDesc}},
Limit: 3,
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __scoped_traces_total AS (
SELECT trace_id,
toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)) AS __GROUP_BY_KEY_0_gen_ai.request.model,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id, __GROUP_BY_KEY_0_gen_ai.request.model
),
__limit_cte AS (
SELECT __GROUP_BY_KEY_0_gen_ai.request.model, sum(output_tokens) AS __result_0
FROM __scoped_traces_total
GROUP BY __GROUP_BY_KEY_0_gen_ai.request.model
ORDER BY __result_0 desc
LIMIT 3
),
__scoped_traces AS (
SELECT trace_id,
toStartOfInterval(timestamp, INTERVAL 60 SECOND) AS ts,
toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)) AS __GROUP_BY_KEY_0_gen_ai.request.model,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND (toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL))) GLOBAL IN (SELECT __GROUP_BY_KEY_0_gen_ai.request.model FROM __limit_cte)
GROUP BY trace_id, ts, __GROUP_BY_KEY_0_gen_ai.request.model
)
SELECT ts, __GROUP_BY_KEY_0_gen_ai.request.model, sum(output_tokens) AS __result_0
FROM __scoped_traces
GROUP BY ts, __GROUP_BY_KEY_0_gen_ai.request.model
HAVING __result_0 > 500
ORDER BY ts desc
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// A span-level scalar delegates to the trace builder, constrained by __trace_scope;
// the shape is the delegate's own, hence no SETTINGS suffix.
func TestBuild_FullSQL_Scalar_SpanAgg_TraceScoped(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "sum(gen_ai.usage.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "trace.output_tokens > 1000"},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __trace_scope AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING output_tokens > 1000
)
SELECT sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS __result_0
FROM signoz_traces.distributed_signoz_index_v3
WHERE trace_id GLOBAL IN (SELECT trace_id FROM __trace_scope)
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
ORDER BY __result_0 DESC
`, stmt)
}
// Two group keys make the top-N prune a 2-tuple GLOBAL IN, and the qualification plus
// span predicate apply to the ranking scan and the main scan alike.
func TestBuild_FullSQL_TimeSeries_GroupLimit_MultiKey(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTimeSeries,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
StepInterval: qbtypes.Step{Duration: 60 * time.Second},
Aggregations: []qbtypes.TraceAggregation{
{Expression: "sum(trace.output_tokens)"},
{Expression: "count(trace.trace_id)"},
},
Filter: &qbtypes.Filter{Expression: "gen_ai.request.model = 'gpt-4o-mini' AND trace.total_tokens > 100"},
GroupBy: []qbtypes.GroupByKey{
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "gen_ai.request.model"}},
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "gen_ai.user.id"}},
},
Limit: 2,
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __qualified AS (
SELECT trace_id,
coalesce(sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.input_tokens'), toFloat64(attributes_number['gen_ai.usage.input_tokens']), NULL)), 0) + coalesce(sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)), 0) AS total_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING total_tokens > 100
),
__scoped_traces_total AS (
SELECT trace_id,
toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)) AS __GROUP_BY_KEY_0_gen_ai.request.model,
toString(multiIf(mapContains(attributes_string, 'gen_ai.user.id'), attributes_string['gen_ai.user.id'], NULL)) AS __GROUP_BY_KEY_1_gen_ai.user.id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND (attributes_string['gen_ai.request.model'] = 'gpt-4o-mini' AND mapContains(attributes_string, 'gen_ai.request.model'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id, __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id
),
__limit_cte AS (
SELECT __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id, sum(output_tokens) AS __result_0, count(trace_id) AS __result_1
FROM __scoped_traces_total
GROUP BY __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id
ORDER BY __result_0 DESC
LIMIT 2
),
__scoped_traces AS (
SELECT trace_id,
toStartOfInterval(timestamp, INTERVAL 60 SECOND) AS ts,
toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)) AS __GROUP_BY_KEY_0_gen_ai.request.model,
toString(multiIf(mapContains(attributes_string, 'gen_ai.user.id'), attributes_string['gen_ai.user.id'], NULL)) AS __GROUP_BY_KEY_1_gen_ai.user.id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND (attributes_string['gen_ai.request.model'] = 'gpt-4o-mini' AND mapContains(attributes_string, 'gen_ai.request.model'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
AND (toString(multiIf(mapContains(attributes_string, 'gen_ai.request.model'), attributes_string['gen_ai.request.model'], NULL)), toString(multiIf(mapContains(attributes_string, 'gen_ai.user.id'), attributes_string['gen_ai.user.id'], NULL))) GLOBAL IN (SELECT __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id FROM __limit_cte)
GROUP BY trace_id, ts, __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id
)
SELECT ts, __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id, sum(output_tokens) AS __result_0, count(trace_id) AS __result_1
FROM __scoped_traces
GROUP BY ts, __GROUP_BY_KEY_0_gen_ai.request.model, __GROUP_BY_KEY_1_gen_ai.user.id
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// A time-series limit without group-by has nothing to rank: it is ignored, matching
// the trace builder — the query equals its unlimited form.
func TestBuild_TimeSeries_LimitWithoutGroupByIgnored(t *testing.T) {
b := newTestBuilder(t)
build := func(limit int) *qbtypes.Statement {
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTimeSeries,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
StepInterval: qbtypes.Step{Duration: 60 * time.Second},
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Limit: limit,
}, nil)
require.NoError(t, err)
return stmt
}
assert.Equal(t, build(0).Query, build(5).Query)
}
// ---------------------------------------------------------------------------
// Behavior / branch tests not covered by the goldens above
// ---------------------------------------------------------------------------
// Mixing span- and trace-level aggregations across one query is rejected.
func TestBuild_Aggregation_MixedDomainsRejected(t *testing.T) {
b := newTestBuilder(t)
_, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{
{Expression: "avg(trace.output_tokens)"},
{Expression: "sum(gen_ai.usage.output_tokens)"},
},
}, nil)
require.ErrorContains(t, err, "cannot be mixed")
}
// Output-only aggregates are rejected in trace-level filters on the aggregation
// path too (the raw and trace-list paths are covered elsewhere).
func TestBuild_Aggregation_OutputOnlyFilterRejected(t *testing.T) {
b := newTestBuilder(t)
_, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "count()"}},
Filter: &qbtypes.Filter{Expression: "trace.span_count > 3"},
}, nil)
require.ErrorContains(t, err, `aggregate "span_count" cannot be used`)
}
// Trace-level columns are rejected as group-by keys; order keys never reach the builder,
// since request validation only admits group keys and aggregation aliases/expressions.
func TestBuild_Aggregation_GroupByOrderValidation(t *testing.T) {
b := newTestBuilder(t)
ctx := context.Background()
_, err := b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
GroupBy: []qbtypes.GroupByKey{{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "trace.llm_call_count"}}},
}, nil)
require.ErrorContains(t, err, `grouping by trace-level aggregate "trace.llm_call_count" is not supported`)
req := qbtypes.QueryRangeRequest{
Start: testStartMs,
End: testEndMs,
RequestType: qbtypes.RequestTypeScalar,
CompositeQuery: qbtypes.CompositeQuery{
Queries: []qbtypes.QueryEnvelope{{
Type: qbtypes.QueryTypeBuilderAI,
Spec: qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Name: "A",
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Order: []qbtypes.OrderBy{{Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "trace.total_tokens"}}, Direction: qbtypes.OrderDirectionDesc}},
},
}},
},
}
require.ErrorContains(t, req.Validate(), "invalid order by key")
_, err = b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)", Alias: "avg_out"}},
Order: []qbtypes.OrderBy{{Key: qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "avg_out"}}, Direction: qbtypes.OrderDirectionAsc}},
}, nil)
require.NoError(t, err)
}
// Variables in trace-level conditions resolve as bound args; a dynamic __all__ drops the
// condition, and an unresolved $var is rejected only as an unknown aggregate today.
func TestBuild_FullSQL_Aggregation_VariablesInTraceFilter(t *testing.T) {
b := newTestBuilder(t)
ctx := context.Background()
q := qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "trace.output_tokens > $threshold"},
}
stmt, err := b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar, q,
map[string]qbtypes.VariableItem{"threshold": {Type: qbtypes.TextBoxVariableType, Value: float64(1000)}})
require.NoError(t, err)
assertSQLEqual(t, `
WITH __qualified AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING output_tokens > 1000
),
__scoped_traces AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id
)
SELECT avg(output_tokens) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
// an unresolved $var is only rejected as an unknown aggregate today; a targeted
// "unknown variable" error is a separate concern
_, err = b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar, q, nil)
require.ErrorContains(t, err, `aggregate "$threshold" cannot be used`)
// __all__ drops the condition: the query equals its unfiltered form
stmt, err = b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar, q,
map[string]qbtypes.VariableItem{"threshold": {Type: qbtypes.DynamicVariableType, Value: "__all__"}})
require.NoError(t, err)
unfiltered := q
unfiltered.Filter = nil
want, err := b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar, unfiltered, nil)
require.NoError(t, err)
assert.Equal(t, want.Query, stmt.Query)
// list variables render as IN with bound args; the scan selects only trace_id
// since no aggregation touches a per-trace column
stmt, err = b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "count(trace.trace_id)"}},
Filter: &qbtypes.Filter{Expression: "trace.llm_call_count IN $counts"},
}, map[string]qbtypes.VariableItem{
"counts": {Type: qbtypes.QueryVariableType, Value: []any{float64(1), float64(2)}},
})
require.NoError(t, err)
assertSQLEqual(t, `
WITH __qualified AS (
SELECT trace_id,
countIf(mapContains(attributes_string, 'gen_ai.request.model')) AS llm_call_count
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
GROUP BY trace_id
HAVING llm_call_count IN (1, 2)
),
__scoped_traces AS (
SELECT trace_id
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id
)
SELECT count(trace_id) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// Resource conditions on the native path: the __resource_filter CTE prunes the
// qualification scan and the per-trace scan by fingerprint.
func TestBuild_FullSQL_Aggregation_ResourceFilter_Native(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "avg(trace.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "service.name = 'api' AND trace.output_tokens > 1000"},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __resource_filter AS (
SELECT fingerprint
FROM signoz_traces.distributed_traces_v3_resource
WHERE (simpleJSONExtractString(labels, 'service.name') = 'api' AND labels LIKE '%service.name%' AND labels LIKE '%service.name":"api%')
AND seen_at_ts_bucket_start >= 1747945619
AND seen_at_ts_bucket_start <= 1747983448
GROUP BY fingerprint
),
__qualified AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)
GROUP BY trace_id
HAVING output_tokens > 1000
),
__scoped_traces AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)
AND trace_id GLOBAL IN (SELECT trace_id FROM __qualified)
GROUP BY trace_id
)
SELECT avg(output_tokens) AS __result_0
FROM __scoped_traces
ORDER BY __result_0 DESC
SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000
`, stmt)
}
// On the delegated path __trace_scope and the main query share one __resource_filter
// CTE, so the resource table is scanned once.
func TestBuild_FullSQL_Aggregation_ResourceFilter_Delegated(t *testing.T) {
b := newTestBuilder(t)
stmt, err := b.Build(context.Background(), valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar,
qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "sum(gen_ai.usage.output_tokens)"}},
Filter: &qbtypes.Filter{Expression: "service.name = 'api' AND trace.output_tokens > 1000"},
}, nil)
require.NoError(t, err)
assertSQLEqual(t, `
WITH __resource_filter AS (
SELECT fingerprint
FROM signoz_traces.distributed_traces_v3_resource
WHERE ((simpleJSONExtractString(labels, 'service.name') = 'api' AND labels LIKE '%service.name%' AND labels LIKE '%service.name":"api%'))
AND seen_at_ts_bucket_start >= 1747945619
AND seen_at_ts_bucket_start <= 1747983448
GROUP BY fingerprint
),
__trace_scope AS (
SELECT trace_id,
sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS output_tokens
FROM signoz_traces.distributed_signoz_index_v3
WHERE timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
AND (mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))
AND resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)
GROUP BY trace_id
HAVING output_tokens > 1000
)
SELECT sum(multiIf(mapContains(attributes_number, 'gen_ai.usage.output_tokens'), toFloat64(attributes_number['gen_ai.usage.output_tokens']), NULL)) AS __result_0
FROM signoz_traces.distributed_signoz_index_v3
WHERE resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)
AND trace_id GLOBAL IN (SELECT trace_id FROM __trace_scope)
AND (((mapContains(attributes_string, 'gen_ai.request.model') OR mapContains(attributes_string, 'gen_ai.tool.name') OR mapContains(attributes_string, 'gen_ai.agent.name'))) AND ((multiIf(resource.service.name IS NOT NULL, resource.service.name::String, mapContains(resources_string, 'service.name'), resources_string['service.name'], NULL) = 'api' AND multiIf(resource.service.name IS NOT NULL, resource.service.name::String, mapContains(resources_string, 'service.name'), resources_string['service.name'], NULL) IS NOT NULL)))
AND timestamp >= '1747947419000000000'
AND timestamp < '1747983448000000000'
AND ts_bucket_start >= 1747945619
AND ts_bucket_start <= 1747983448
ORDER BY __result_0 DESC
`, stmt)
}
// rate() divides by the window (scalar) / step (series). Per AggreFuncMap it counts
// per-trace rows per second; it does not sum the column.
func TestBuild_Aggregation_RateDividesByInterval(t *testing.T) {
b := newTestBuilder(t)
ctx := context.Background()
q := qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Signal: telemetrytypes.SignalTraces,
Aggregations: []qbtypes.TraceAggregation{{Expression: "rate(trace.llm_call_count)"}},
}
stmt, err := b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeScalar, q, nil)
require.NoError(t, err)
assert.Contains(t, stmt.Query, "count(llm_call_count)/36029 AS __result_0") // (end-start) seconds
q.StepInterval = qbtypes.Step{Duration: 60 * time.Second}
stmt, err = b.Build(ctx, valuer.UUID{}, testStartMs, testEndMs, qbtypes.RequestTypeTimeSeries, q, nil)
require.NoError(t, err)
assert.Contains(t, stmt.Query, "count(llm_call_count)/60 AS __result_0")
// a sub-second window clamps the divisor instead of truncating it to zero
stmt, err = b.Build(ctx, valuer.UUID{}, testStartMs, testStartMs+500, qbtypes.RequestTypeScalar, q, nil)
require.NoError(t, err)
assert.Contains(t, stmt.Query, "count(llm_call_count)/1 AS __result_0")
}

View File

@@ -4,6 +4,7 @@ import (
"context"
"fmt"
"log/slog"
"sort"
"strings"
"github.com/SigNoz/signoz/pkg/errors"
@@ -18,6 +19,7 @@ import (
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
qbvariables "github.com/SigNoz/signoz/pkg/variables"
"github.com/huandu/go-sqlbuilder"
)
@@ -115,8 +117,6 @@ func (b *scopedTraceStatementBuilder) Build(
return b.buildTraceListQuery(ctx, orgID, querybuilder.ToNanoSecs(start), querybuilder.ToNanoSecs(end), query, variables)
case qbtypes.RequestTypeRaw:
return b.buildDelegated(ctx, orgID, start, end, requestType, query, variables)
case qbtypes.RequestTypeScalar, qbtypes.RequestTypeTimeSeries:
return b.buildAggregation(ctx, orgID, start, end, requestType, query, variables)
default:
return nil, ErrUnsupportedRequestType
}
@@ -145,63 +145,6 @@ func (b *scopedTraceStatementBuilder) buildDelegated(
return b.traceStmtBuilder.Build(ctx, orgID, start, end, requestType, gated, variables)
}
// traceScopedStatementBuilder is the delegate's optional capability of constraining a
// query to a set of trace ids (implemented by the traces statement builder).
// traceScopeResource is the __resource_filter CTE traceScope's predicate references,
// shared with the delegate's own resource filter so the table is scanned once.
type traceScopedStatementBuilder interface {
BuildTraceScoped(ctx context.Context, orgID valuer.UUID, start, end uint64, requestType qbtypes.RequestType, query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation], variables map[string]qbtypes.VariableItem, traceScope, traceScopeResource *qbtypes.Statement) (*qbtypes.Statement, error)
}
// buildDelegatedAggregation serves span-level scalar/time-series through the standard
// trace builder, with the gate ANDed into the span-level filter part; a trace-level
// part becomes a qualification the delegate constrains trace_id by.
func (b *scopedTraceStatementBuilder) buildDelegatedAggregation(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
var spanExpr, traceExpr string
var err error
if query.Filter != nil && strings.TrimSpace(query.Filter.Expression) != "" {
spanExpr, traceExpr, err = querybuilder.SplitFilterForAggregates(query.Filter.Expression, b.aggregateAliasSet())
if err != nil {
return nil, err
}
}
gate := b.scope.FilterExpression
expr := gate
if strings.TrimSpace(spanExpr) != "" {
expr = fmt.Sprintf("(%s) AND (%s)", gate, spanExpr)
}
// shallow copy; only Filter is replaced, caller's query untouched
gated := query
gated.Filter = &qbtypes.Filter{Expression: expr}
if strings.TrimSpace(traceExpr) == "" {
return b.traceStmtBuilder.Build(ctx, orgID, start, end, requestType, gated, variables)
}
scoped, ok := b.traceStmtBuilder.(traceScopedStatementBuilder)
if !ok {
return nil, errors.NewInternalf(errors.CodeInternal, "trace statement builder does not support trace-scoped queries")
}
scope, scopeResource, err := b.buildQualifiedStatement(ctx, orgID, querybuilder.ToNanoSecs(start), querybuilder.ToNanoSecs(end), traceExpr, query, variables)
if err != nil {
return nil, err
}
if scope == nil {
// every trace-level condition was dropped by variable resolution
return b.traceStmtBuilder.Build(ctx, orgID, start, end, requestType, gated, variables)
}
return scoped.BuildTraceScoped(ctx, orgID, start, end, requestType, gated, variables, scope, scopeResource)
}
// buildTraceListQuery wires the CTE pipeline (start/end are nanoseconds):
// matched (windowed, mask-pruned top-N trace_ids) → ranked (their [start,end] from
// the summary table) → buckets (ts_bucket_start prune) → enrichment (every per-trace
@@ -223,13 +166,9 @@ func (b *scopedTraceStatementBuilder) buildTraceListQuery(
limit = 100
}
filterExpr := ""
if query.Filter != nil {
filterExpr = query.Filter.Expression
}
// Condition args bind into the builder an expression is embedded in, so the
// matched and enrichment passes each resolve against their own builder.
keys, err := b.fetchKeys(ctx, orgID, spanFilterSelectors(filterExpr)...)
keys, err := b.fetchKeys(ctx, orgID)
if err != nil {
return nil, err
}
@@ -247,17 +186,23 @@ func (b *scopedTraceStatementBuilder) buildTraceListQuery(
if err != nil {
return nil, err
}
orderableSet := orderableAliasSet(resolved)
filterableSet := filterableAliasSet(resolved)
resourceFrag, resourceArgs, resourcePred, err := b.maybeAttachResourceFilter(ctx, orgID, query, start, end, variables)
if err != nil {
return nil, err
}
fp, err := b.splitFilter(ctx, orgID, query, b.aggregateAliasSet(), keys, start, end, variables, matchedSB)
fp, err := b.splitFilter(ctx, orgID, query, b.aggregateAliasSet(), filterableSet, start, end, variables, matchedSB)
if err != nil {
return nil, err
}
matchedFrag, matchedArgs := b.buildMatchedCTE(matchedSB, start, end, startBucket, endBucket, resolved, orders, maskExpr, fp, resourcePred, limit, query.Offset)
matchedFrag, matchedArgs, err := b.buildMatchedCTE(matchedSB, start, end, startBucket, endBucket, resolved, orders, orderableSet, filterableSet, maskExpr, fp, resourcePred, limit, query.Offset)
if err != nil {
return nil, err
}
rankedFrag, rankedArgs := b.buildRankedCTE(start, end)
adj := querybuilder.BucketAdjustment // 30-min bucket width in seconds
@@ -313,10 +258,9 @@ func (b *scopedTraceStatementBuilder) maybeAttachResourceFilter(
"resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)", nil
}
func (b *scopedTraceStatementBuilder) fetchKeys(ctx context.Context, orgID valuer.UUID, extra ...*telemetrytypes.FieldKeySelector) (map[string][]*telemetrytypes.TelemetryFieldKey, error) {
func (b *scopedTraceStatementBuilder) fetchKeys(ctx context.Context, orgID valuer.UUID) (map[string][]*telemetrytypes.TelemetryFieldKey, error) {
fields := b.resolverFieldKeys()
selectors := make([]*telemetrytypes.FieldKeySelector, 0, len(fields)+len(extra))
selectors = append(selectors, extra...)
selectors := make([]*telemetrytypes.FieldKeySelector, 0, len(fields))
for _, k := range fields {
selectors = append(selectors, &telemetrytypes.FieldKeySelector{
Name: k.Name,
@@ -385,9 +329,10 @@ func (b *scopedTraceStatementBuilder) resolveMask(ctx context.Context, orgID val
}
type resolvedColumn struct {
alias string
expr string
orderable bool
alias string
expr string
orderable bool
filterable bool
}
func (b *scopedTraceStatementBuilder) resolveColumns(ctx context.Context, orgID valuer.UUID, start, end uint64, cols *columnResolver, preds *predicateResolver) ([]resolvedColumn, error) {
@@ -397,7 +342,7 @@ func (b *scopedTraceStatementBuilder) resolveColumns(ctx context.Context, orgID
if err != nil {
return nil, err
}
out = append(out, resolvedColumn{alias: c.Alias, expr: expr, orderable: c.Orderable})
out = append(out, resolvedColumn{alias: c.Alias, expr: expr, orderable: c.Orderable, filterable: c.Filterable})
}
return out, nil
}
@@ -439,30 +384,29 @@ func (b *scopedTraceStatementBuilder) resolveListOrders(order []qbtypes.OrderBy,
return orders, nil
}
// filterParts is the user filter split into a span-level predicate and the resolved
// trace-level HAVING (nil when there is none).
// filterParts is the user filter split into a span-level predicate and a trace-level
// HAVING expression.
type filterParts struct {
spanPred string
hasSpanFilter bool
having *traceHaving
havingExpr string
warnings []string
warningsURL string
}
// splitFilter splits query.Filter into a span-level predicate and a trace-level
// HAVING (explicit query.Having ANDed on before resolution); args bind into sb.
// keys must cover the filter's span-level selectors.
func (b *scopedTraceStatementBuilder) splitFilter(ctx context.Context, orgID valuer.UUID, query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation], classifySet map[string]struct{}, keys map[string][]*telemetrytypes.TelemetryFieldKey, start, end uint64, variables map[string]qbtypes.VariableItem, sb *sqlbuilder.SelectBuilder) (filterParts, error) {
// splitFilter splits query.Filter into a span-level predicate (args bound into sb)
// and a trace-level HAVING (explicit query.Having ANDed on), then validates the
// trace-level part against the matched-pass aggregates.
func (b *scopedTraceStatementBuilder) splitFilter(ctx context.Context, orgID valuer.UUID, query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation], classifySet, filterableSet map[string]struct{}, start, end uint64, variables map[string]qbtypes.VariableItem, sb *sqlbuilder.SelectBuilder) (filterParts, error) {
var fp filterParts
havingExpr := ""
if query.Filter != nil && strings.TrimSpace(query.Filter.Expression) != "" {
spanExpr, traceExpr, err := querybuilder.SplitFilterForAggregates(query.Filter.Expression, classifySet)
if err != nil {
return fp, err
}
havingExpr = traceExpr
fp.havingExpr = traceExpr
if strings.TrimSpace(spanExpr) != "" {
pred, warnings, url, err := b.resolveSpanPredicate(ctx, orgID, start, end, spanExpr, keys, variables, sb)
pred, warnings, url, err := b.resolveSpanPredicate(ctx, orgID, start, end, spanExpr, variables, sb)
if err != nil {
return fp, err
}
@@ -475,23 +419,37 @@ func (b *scopedTraceStatementBuilder) splitFilter(ctx context.Context, orgID val
}
}
if query.Having != nil && strings.TrimSpace(query.Having.Expression) != "" {
if havingExpr != "" {
havingExpr = fmt.Sprintf("(%s) AND (%s)", havingExpr, query.Having.Expression)
if fp.havingExpr != "" {
fp.havingExpr = fmt.Sprintf("(%s) AND (%s)", fp.havingExpr, query.Having.Expression)
} else {
havingExpr = query.Having.Expression
fp.havingExpr = query.Having.Expression
}
}
having, err := b.resolveTraceHaving(ctx, havingExpr, variables, sb)
if err != nil {
// the HAVING is a plain text rewrite, so substitute variables here
if strings.TrimSpace(fp.havingExpr) != "" && len(variables) > 0 {
replaced, err := qbvariables.ReplaceVariablesInExpression(fp.havingExpr, variables)
if err != nil {
return fp, err
}
fp.havingExpr = replaced
}
if err := validateAggregateFilter(fp.havingExpr, filterableSet); err != nil {
return fp, err
}
fp.having = having
return fp, nil
}
// resolveSpanPredicate resolves a span-level filter expression to a bare boolean
// predicate, args bound into sb; keys must cover the expression's selectors.
func (b *scopedTraceStatementBuilder) resolveSpanPredicate(ctx context.Context, orgID valuer.UUID, start, end uint64, expr string, keys map[string][]*telemetrytypes.TelemetryFieldKey, variables map[string]qbtypes.VariableItem, sb *sqlbuilder.SelectBuilder) (string, []string, string, error) {
// predicate, args bound into sb.
func (b *scopedTraceStatementBuilder) resolveSpanPredicate(ctx context.Context, orgID valuer.UUID, start, end uint64, expr string, variables map[string]qbtypes.VariableItem, sb *sqlbuilder.SelectBuilder) (string, []string, string, error) {
selectors := querybuilder.QueryStringToKeysSelectors(expr)
for i := range selectors {
selectors[i].Signal = telemetrytypes.SignalTraces
}
keys, _, err := b.metadataStore.GetKeysMulti(ctx, orgID, querybuilder.ExpandKeySelectorsForFamilies(ctx, orgID, b.fl, selectors))
if err != nil {
return "", nil, "", err
}
prepared, err := querybuilder.PrepareWhereClause(expr, querybuilder.FilterExprVisitorOpts{
Context: ctx,
OrgID: orgID,
@@ -520,8 +478,8 @@ func (b *scopedTraceStatementBuilder) resolveSpanPredicate(ctx context.Context,
// span filter + HAVING + ORDER BY + LIMIT/OFFSET, selecting only the aliases ORDER BY
// / HAVING reference. Expressions carry $n markers bound to sb, so each can appear
// several times and every occurrence resolves to the same arg.
func (b *scopedTraceStatementBuilder) buildMatchedCTE(sb *sqlbuilder.SelectBuilder, start, end, startBucket, endBucket uint64, resolved []resolvedColumn, orders []listOrder, maskExpr string, fp filterParts, resourcePred string, limit, offset int) (string, []any) {
needed := neededMatchedAliases(orders, fp.having)
func (b *scopedTraceStatementBuilder) buildMatchedCTE(sb *sqlbuilder.SelectBuilder, start, end, startBucket, endBucket uint64, resolved []resolvedColumn, orders []listOrder, orderableSet, filterableSet map[string]struct{}, maskExpr string, fp filterParts, resourcePred string, limit, offset int) (string, []any, error) {
needed := neededMatchedAliases(orders, fp.havingExpr, orderableSet)
selects := []string{"trace_id"}
for _, rc := range resolved {
if _, ok := needed[rc.alias]; !ok {
@@ -558,8 +516,22 @@ func (b *scopedTraceStatementBuilder) buildMatchedCTE(sb *sqlbuilder.SelectBuild
having = append(having, "countIf("+maskExpr+") > 0")
having = append(having, "countIf("+fp.spanPred+") > 0")
}
if fp.having != nil {
having = append(having, fp.having.pred)
if strings.TrimSpace(fp.havingExpr) != "" {
// the rewriter matches raw key text, so map the trace. form alongside the bare name
columnMap := make(map[string]string, len(filterableSet)*2)
for a := range filterableSet {
columnMap[a] = quoteAlias(a)
columnMap[telemetrytypes.FieldContextTrace.StringValue()+"."+a] = quoteAlias(a)
}
hv, err := querybuilder.NewHavingExpressionRewriter().Rewrite(fp.havingExpr, columnMap)
if err != nil {
return "", nil, err
}
if hv != "" {
// escape user text so a literal $ isn't read as an arg marker; the countIf
// entries hold live $n markers and must stay unescaped
having = append(having, sqlbuilder.Escape(hv))
}
}
if len(having) > 0 {
sb.Having(strings.Join(having, " AND "))
@@ -572,7 +544,7 @@ func (b *scopedTraceStatementBuilder) buildMatchedCTE(sb *sqlbuilder.SelectBuild
}
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return fmt.Sprintf("matched AS (%s)", sql), args
return fmt.Sprintf("matched AS (%s)", sql), args, nil
}
// buildRankedCTE builds `ranked`: [start,end] bounds per matched trace from the
@@ -613,9 +585,8 @@ func (b *scopedTraceStatementBuilder) buildEnrichmentSelect(sb *sqlbuilder.Selec
return sb.BuildWithFlavor(sqlbuilder.ClickHouse)
}
// aggregateAliasSet recognises trace-level keys — display-only aliases included, so one
// gets a targeted error instead of falling through as a span attribute (what a predicate
// may actually use is filterableColumnSet). SpanLevel columns are filtered span-level.
// aggregateAliasSet is every trace-level column alias, used to classify filter keys;
// SpanLevel columns are filtered span-level, so skip them.
func (b *scopedTraceStatementBuilder) aggregateAliasSet() map[string]struct{} {
set := make(map[string]struct{}, len(b.scope.Columns))
for _, c := range b.scope.Columns {
@@ -626,36 +597,70 @@ func (b *scopedTraceStatementBuilder) aggregateAliasSet() map[string]struct{} {
return set
}
// orderableAliasSet is the subset of aliases computable in the matched pass.
func orderableAliasSet(resolved []resolvedColumn) map[string]struct{} {
set := make(map[string]struct{})
for _, rc := range resolved {
if rc.orderable {
set[rc.alias] = struct{}{}
}
}
return set
}
// filterableAliasSet is the subset of aliases usable in the trace-level filter.
func filterableAliasSet(resolved []resolvedColumn) map[string]struct{} {
set := make(map[string]struct{})
for _, rc := range resolved {
if rc.filterable {
set[rc.alias] = struct{}{}
}
}
return set
}
// neededMatchedAliases is the minimal alias set the matched pass must select: those
// in ORDER BY plus those the resolved trace-level HAVING touches.
func neededMatchedAliases(orders []listOrder, having *traceHaving) map[string]struct{} {
// in ORDER BY plus those in the aggregate HAVING.
func neededMatchedAliases(orders []listOrder, havingExpr string, orderableSet map[string]struct{}) map[string]struct{} {
needed := make(map[string]struct{})
for _, o := range orders {
needed[o.alias] = struct{}{}
}
if having != nil {
for name := range having.used {
for _, name := range traceAggregateNames(havingExpr) {
if _, ok := orderableSet[name]; ok {
needed[name] = struct{}{}
}
}
return needed
}
// validateAggregateFilter rejects filters on aggregates that are not filterable
// (e.g. span_count) upfront, since inside the where-clause visitor the error would
// surface only as a detail of a combined one. Only unspecified- and trace-context
// selectors name aggregates.
// traceAggregateNames extracts the aggregate names a trace-level HAVING references;
// only unspecified- and trace-context selectors name aggregates.
func traceAggregateNames(havingExpr string) []string {
var names []string
for _, sel := range querybuilder.QueryStringToKeysSelectors(havingExpr) {
if sel.FieldContext == telemetrytypes.FieldContextUnspecified || sel.FieldContext == telemetrytypes.FieldContextTrace {
names = append(names, sel.Name)
}
}
return names
}
// validateAggregateFilter rejects a trace-level filter referencing an aggregate that
// is not filterable.
func validateAggregateFilter(havingExpr string, filterableSet map[string]struct{}) error {
if strings.TrimSpace(havingExpr) == "" {
return nil
}
for _, sel := range querybuilder.QueryStringToKeysSelectors(havingExpr) {
if sel.FieldContext != telemetrytypes.FieldContextUnspecified && sel.FieldContext != telemetrytypes.FieldContextTrace {
continue
}
if _, ok := filterableSet[sel.Name]; !ok {
allowed := make([]string, 0, len(filterableSet))
for a := range filterableSet {
allowed = append(allowed, a)
}
sort.Strings(allowed)
for _, name := range traceAggregateNames(havingExpr) {
if _, ok := filterableSet[name]; !ok {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"aggregate %q cannot be used in a trace-level filter; filterable aggregates: %s", sel.Name, strings.Join(sortedAliases(filterableSet), ", "))
"aggregate %q cannot be used in the trace-list filter; filterable aggregates: %s", name, strings.Join(allowed, ", "))
}
}
return nil
@@ -670,19 +675,6 @@ func orderClause(orders []listOrder) []string {
return append(out, "trace_id DESC")
}
// spanFilterSelectors are the metadata selectors for every key a filter expression
// references, for batching into a single GetKeysMulti fetch.
func spanFilterSelectors(expr string) []*telemetrytypes.FieldKeySelector {
if strings.TrimSpace(expr) == "" {
return nil
}
selectors := querybuilder.QueryStringToKeysSelectors(expr)
for i := range selectors {
selectors[i].Signal = telemetrytypes.SignalTraces
}
return selectors
}
// quoteAlias backticks an alias containing characters special to the SQL builder.
func quoteAlias(alias string) string {
if strings.ContainsAny(alias, ".$`") {

View File

@@ -1,783 +0,0 @@
package scopedtracesstatementbuilder
import (
"context"
"fmt"
"sort"
"strings"
chparser "github.com/AfterShip/clickhouse-sql-parser/parser"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/huandu/go-sqlbuilder"
)
// The per-trace values these aggregations read are window-clipped and span-filtered,
// unlike the list's enrichment pass over every span of the whole trace, so the same
// column reads differently in each.
// traceAggregation is one aggregation rewritten to run over the per-trace scan.
type traceAggregation struct {
expr string // rewritten SQL over the per-trace column aliases
used map[string]struct{} // per-trace aliases referenced
isRate bool
}
// buildAggregation routes by aggregation domain: bare keys delegate to the standard
// trace builder, trace.-prefixed aggregates run over the per-trace scan.
func (b *scopedTraceStatementBuilder) buildAggregation(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
traceAggs, err := b.classifyAggregations(query.Aggregations)
if err != nil {
return nil, err
}
if err := b.validateGroupBy(query); err != nil {
return nil, err
}
if len(traceAggs) == 0 {
return b.buildDelegatedAggregation(ctx, orgID, start, end, requestType, query, variables)
}
return b.buildTraceAggregationQuery(ctx, orgID, querybuilder.ToNanoSecs(start), querybuilder.ToNanoSecs(end), requestType, query, variables, traceAggs)
}
// classifyAggregations returns the rewritten trace-domain aggregations, nil when all
// are span-domain; mixing the two domains is rejected.
func (b *scopedTraceStatementBuilder) classifyAggregations(aggs []qbtypes.TraceAggregation) ([]traceAggregation, error) {
// permission, not recognition: unknown names are reported against exactly this set
traceCols := b.orderableColumnSet()
var out []traceAggregation
spanCount := 0
for _, agg := range aggs {
ta, isTrace, err := rewriteTraceAggregation(agg.Expression, traceCols)
if err != nil {
return nil, err
}
if isTrace {
out = append(out, *ta)
} else {
spanCount++
}
}
if len(out) > 0 && spanCount > 0 {
return nil, errors.NewInvalidInputf(errors.CodeInvalidInput,
"span-level and trace-level (trace.) aggregations cannot be mixed in one query")
}
return out, nil
}
// orderableColumnSet is what a trace-level aggregation may use;
// recognising a key as trace-level is aggregateAliasSet's job.
func (b *scopedTraceStatementBuilder) orderableColumnSet() map[string]struct{} {
set := make(map[string]struct{})
for _, c := range b.scope.Columns {
if c.Orderable {
set[c.Alias] = struct{}{}
}
}
return set
}
// filterableColumnSet is what a trace-level filter predicate may use.
func (b *scopedTraceStatementBuilder) filterableColumnSet() map[string]struct{} {
set := make(map[string]struct{})
for _, c := range b.scope.Columns {
if c.Filterable {
set[c.Alias] = struct{}{}
}
}
return set
}
// validateGroupBy rejects trace-level columns as group-by keys with a targeted error
// (not the field mapper's generic "field not found"). Order keys need no check here:
// request validation only admits group keys and aggregation aliases/expressions.
func (b *scopedTraceStatementBuilder) validateGroupBy(query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]) error {
// recognition, not permission: a display-only alias must be named here to be rejected
// rather than reaching the field mapper as a span attribute
aliases := b.aggregateAliasSet()
for _, gb := range query.GroupBy {
key := gb.TelemetryFieldKey
key.Normalize()
// a bare name may be a span column sharing the alias (duration_nano, timestamp)
if key.FieldContext != telemetrytypes.FieldContextTrace {
continue
}
if _, ok := aliases[key.Name]; ok {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"grouping by trace-level aggregate %q is not supported; group by span attributes instead (e.g. service.name)", gb.Name)
}
}
return nil
}
// rewriteTraceAggregation rewrites an aggregation over trace.-prefixed columns to run
// on the per-trace scan (trace.output_tokens → output_tokens, functions mapped via
// AggreFuncMap); a pure span-level expression returns isTrace=false for the delegate.
func rewriteTraceAggregation(expr string, traceCols map[string]struct{}) (*traceAggregation, bool, error) {
p := chparser.NewParser("SELECT " + expr)
stmts, err := p.ParseStmts()
if err != nil {
return nil, false, errors.WrapInvalidInputf(err, errors.CodeInvalidInput, "failed to parse aggregation expression %q", expr)
}
if len(stmts) == 0 {
return nil, false, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid aggregation expression %q", expr)
}
sel, ok := stmts[0].(*chparser.SelectQuery)
if !ok || len(sel.SelectItems) == 0 {
return nil, false, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid aggregation expression %q", expr)
}
v := &traceAggVisitor{traceCols: traceCols, used: make(map[string]struct{})}
if err := sel.SelectItems[0].Accept(v); err != nil {
return nil, false, err
}
if !v.hasTrace {
return nil, false, nil
}
if v.hasSpan {
return nil, false, errors.NewInvalidInputf(errors.CodeInvalidInput,
"aggregation %q mixes trace-level (trace.) and span-level columns; use one domain per aggregation", expr)
}
// the interval divides the rendered expression as a whole, so a second aggregation
// alongside the rate would be divided too
if v.isRate && v.aggCount > 1 {
return nil, false, errors.NewInvalidInputf(errors.CodeInvalidInput,
"aggregation %q combines a rate with another aggregation; the rate interval would divide both, so give each its own aggregation", expr)
}
return &traceAggregation{expr: chparser.Format(sel.SelectItems[0]), used: v.used, isRate: v.isRate}, true, nil
}
// traceAggVisitor classifies column references and rewrites trace.-prefixed ones in
// place; the ancestor stack tells a column identifier from a path segment, function
// name, or alias, and rejects trace. columns inside *If combinators.
type traceAggVisitor struct {
chparser.DefaultASTVisitor
traceCols map[string]struct{}
used map[string]struct{}
stack []chparser.Expr
aggCount int
hasTrace bool
hasSpan bool
isRate bool
}
func (v *traceAggVisitor) Enter(expr chparser.Expr) { v.stack = append(v.stack, expr) }
func (v *traceAggVisitor) Leave(expr chparser.Expr) { v.stack = v.stack[:len(v.stack)-1] }
// parent is the node enclosing the one currently being visited (the visited node
// itself is the stack top).
func (v *traceAggVisitor) parent() chparser.Expr {
if len(v.stack) < 2 {
return nil
}
return v.stack[len(v.stack)-2]
}
func (v *traceAggVisitor) enclosingCombinator() (string, bool) {
for _, e := range v.stack {
fn, ok := e.(*chparser.FunctionExpr)
if !ok {
continue
}
if agg, known := querybuilder.AggreFuncMap[valuer.NewString(strings.ToLower(fn.Name.Name))]; known && agg.FuncCombinator {
return fn.Name.Name, true
}
}
return "", false
}
// enclosingAggregate walks the ancestor stack; AggreFuncMap holds only aggregates and
// VisitFunctionExpr rejects any name missing from it, so a known name is enough.
func (v *traceAggVisitor) enclosingAggregate() bool {
for _, e := range v.stack {
fn, ok := e.(*chparser.FunctionExpr)
if !ok {
continue
}
if _, known := querybuilder.AggreFuncMap[valuer.NewString(strings.ToLower(fn.Name.Name))]; known {
return true
}
}
return false
}
// VisitPath classifies a dotted reference (trace.output_tokens); trace-level ones are
// rewritten in place to the bare per-trace alias.
func (v *traceAggVisitor) VisitPath(p *chparser.Path) error {
col, isTrace := traceColumnFromPath(p)
if !isTrace {
v.hasSpan = true
return nil
}
if err := v.acceptTraceColumn(chparser.Format(p), col); err != nil {
return err
}
p.Fields = p.Fields[len(p.Fields)-1:]
p.Fields[0].Name = col
return nil
}
// VisitIdent classifies a plain identifier (a backquoted `trace.output_tokens` is
// trace-level); path segments, function names, and aliases are structural, not columns.
func (v *traceAggVisitor) VisitIdent(i *chparser.Ident) error {
switch parent := v.parent().(type) {
case *chparser.Path:
return nil // segments are classified whole by VisitPath
case *chparser.FunctionExpr:
if parent.Name == i {
return nil
}
case *chparser.ColumnExpr:
if parent.Alias == i {
return nil
}
}
key := telemetrytypes.GetFieldKeyFromKeyText(i.Name)
if key.FieldContext != telemetrytypes.FieldContextTrace || key.Name == "" {
v.hasSpan = true
return nil
}
if err := v.acceptTraceColumn(i.Name, key.Name); err != nil {
return err
}
i.Name = key.Name
return nil
}
func (v *traceAggVisitor) acceptTraceColumn(ref, col string) error {
if name, in := v.enclosingCombinator(); in {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"%q over trace-level (trace.) columns is not supported; put the trace-level condition in the filter expression instead", name)
}
// trace_id is always selected by the per-trace scan (count(trace.trace_id)
// counts traces); everything else must be a scope column.
if col != "trace_id" {
if _, known := v.traceCols[col]; !known {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"unknown trace-level aggregation column %q; usable columns: %s", ref, strings.Join(sortedAliases(v.traceCols), ", "))
}
v.used[col] = struct{}{}
}
// ungrouped, a bare per-trace column would make the outer SELECT emit one row per
// trace instead of one aggregated row
if !v.enclosingAggregate() {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"trace-level column %q must be inside an aggregation function (e.g. avg(%s))", ref, ref)
}
v.hasTrace = true
return nil
}
// VisitFunctionExpr validates and maps the function name. Children were already
// visited (post-order), so classification is complete for this subtree.
func (v *traceAggVisitor) VisitFunctionExpr(fn *chparser.FunctionExpr) error {
name := strings.ToLower(fn.Name.Name)
aggFunc, ok := querybuilder.AggreFuncMap[valuer.NewString(name)]
if !ok {
return errors.NewInvalidInputf(errors.CodeInvalidInput, "unrecognized function: %s", name)
}
if fn.Params != nil && fn.Params.Items != nil && len(fn.Params.Items.Items) > 0 && aggFunc.FuncCombinator {
// combinator predicates over span columns stay span-level (countIf(has_error=true))
v.hasSpan = true
return nil
}
fn.Name.Name = aggFunc.FuncName
v.aggCount++
if aggFunc.Rate {
v.isRate = true
}
return nil
}
// traceColumnFromPath returns the per-trace column a dotted reference names
// (trace.output_tokens -> output_tokens, trace.a.b -> a.b).
func traceColumnFromPath(p *chparser.Path) (string, bool) {
key := telemetrytypes.GetFieldKeyFromKeyText(chparser.Format(p))
if key.FieldContext != telemetrytypes.FieldContextTrace || key.Name == "" {
return "", false
}
return key.Name, true
}
func sortedAliases(set map[string]struct{}) []string {
out := make([]string, 0, len(set))
for a := range set {
out = append(out, a)
}
sort.Strings(out)
return out
}
// ---------------------------------------------------------------------------
// Qualification + per-trace scan
// ---------------------------------------------------------------------------
// buildQualifiedStatement selects the trace ids whose window-clipped aggregates satisfy
// the trace-level filter. The second statement (nil without resource conditions) is the
// __resource_filter CTE the scope's predicate references; the embedder emits it exactly
// once, shared with its own resource filter. start/end are ns; both statements are nil
// when variable resolution dropped every condition.
func (b *scopedTraceStatementBuilder) buildQualifiedStatement(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
traceExpr string,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, *qbtypes.Statement, error) {
keys, err := b.fetchKeys(ctx, orgID)
if err != nil {
return nil, nil, err
}
sb := sqlbuilder.NewSelectBuilder()
maskExpr, resolved, err := b.resolveFor(ctx, orgID, start, end, keys, sb)
if err != nil {
return nil, nil, err
}
having, err := b.resolveTraceHaving(ctx, traceExpr, variables, sb)
if err != nil {
return nil, nil, err
}
if having == nil {
return nil, nil, nil
}
// nil when the filter has no resource-attribute conditions
resourceStmt, err := b.resourceFilterStmtBuilder.Build(ctx, orgID, start, end, qbtypes.RequestTypeRaw, query, variables)
if err != nil {
return nil, nil, err
}
var resourcePred string
if resourceStmt != nil {
resourcePred = "resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)"
}
sql, args := b.buildPerTraceScan(sb, start, end, resolved, maskExpr, perTraceScanOpts{
needed: having.used,
havingPred: having.pred,
resourcePred: resourcePred,
})
return &qbtypes.Statement{Query: sql, Args: args}, resourceStmt, nil
}
// groupColumn holds a resolved, arg-free span-attribute expression.
type groupColumn struct {
alias string
expr string
}
// groupByColumnAlias prefixes the i-th group-by dimension so the alias cannot shadow the
// span column its expression reads; the querier (stripKeyAlias) strips it back off.
func groupByColumnAlias(i int, name string) string {
return fmt.Sprintf("__GROUP_BY_KEY_%d_%s", i, name)
}
// orderColumn is the SQL identifier a non-aggregation order key sorts by: the
// positional alias when the key names a group-by dimension, else the key itself.
func orderColumn(orderKey string, groupBy []qbtypes.GroupByKey) string {
for i := range groupBy {
if groupBy[i].Name == orderKey {
return groupByColumnAlias(i, groupBy[i].Name)
}
}
return orderKey
}
// perTraceScanOpts parametrize one windowed, mask-pruned GROUP BY trace_id scan.
// All expressions are already resolved against the scan's builder.
type perTraceScanOpts struct {
stepSeconds int64 // >0 → bucket per-trace values by time (ts column)
groupCols []groupColumn
needed map[string]struct{} // per-trace aliases to select
spanPred string // resolved span-level filter, ANDed per span
resourcePred string // resource-fingerprint prune (CTE reference or inline subquery)
qualified bool // constrain to __qualified
limitPred string // top-N group prune (GLOBAL IN __limit_cte)
havingPred string // resolved HAVING predicate over the selected aliases
}
func (b *scopedTraceStatementBuilder) buildPerTraceScan(sb *sqlbuilder.SelectBuilder, start, end uint64, resolved []resolvedColumn, maskExpr string, o perTraceScanOpts) (string, []any) {
startBucket := start/querybuilder.NsToSeconds - querybuilder.BucketAdjustment
endBucket := end / querybuilder.NsToSeconds
selects := []string{"trace_id"}
if o.stepSeconds > 0 {
selects = append(selects, fmt.Sprintf("toStartOfInterval(timestamp, INTERVAL %d SECOND) AS ts", o.stepSeconds))
}
for _, gc := range o.groupCols {
selects = append(selects, fmt.Sprintf("toString(%s) AS `%s`", gc.expr, gc.alias))
}
for _, rc := range resolved {
if _, ok := o.needed[rc.alias]; !ok {
continue
}
selects = append(selects, rc.expr+" AS "+quoteAlias(rc.alias))
}
sb.Select(selects...)
sb.From(fmt.Sprintf("%s.%s", tracestelemetryschema.DBName, tracestelemetryschema.SpanIndexV3TableName))
where := []string{
sb.GE("timestamp", fmt.Sprintf("%d", start)),
sb.L("timestamp", fmt.Sprintf("%d", end)),
sb.GE("ts_bucket_start", startBucket),
sb.LE("ts_bucket_start", endBucket),
maskExpr,
}
if strings.TrimSpace(o.spanPred) != "" {
where = append(where, o.spanPred)
}
if o.resourcePred != "" {
where = append(where, o.resourcePred)
}
if o.qualified {
where = append(where, "trace_id GLOBAL IN (SELECT trace_id FROM __qualified)")
}
if o.limitPred != "" {
where = append(where, o.limitPred)
}
sb.Where(where...)
groupBy := []string{"trace_id"}
if o.stepSeconds > 0 {
groupBy = append(groupBy, "ts")
}
for _, gc := range o.groupCols {
groupBy = append(groupBy, "`"+gc.alias+"`")
}
sb.GroupBy(groupBy...)
if strings.TrimSpace(o.havingPred) != "" {
sb.Having(o.havingPred)
}
return sb.BuildWithFlavor(sqlbuilder.ClickHouse)
}
// groupBySelectors are the metadata selectors for the group-by keys, for batching
// into a single GetKeysMulti fetch.
func groupBySelectors(groupBy []qbtypes.GroupByKey) []*telemetrytypes.FieldKeySelector {
selectors := make([]*telemetrytypes.FieldKeySelector, 0, len(groupBy))
for i := range groupBy {
selectors = append(selectors, &telemetrytypes.FieldKeySelector{
Name: groupBy[i].Name,
Signal: telemetrytypes.SignalTraces,
FieldContext: groupBy[i].FieldContext,
FieldDataType: groupBy[i].FieldDataType,
SelectorMatchType: telemetrytypes.FieldSelectorMatchTypeExact,
})
}
return selectors
}
// resolveGroupColumns resolves group-by keys through the field mapper for selection
// inside the per-trace scan; keys must cover the group-by selectors.
func (b *scopedTraceStatementBuilder) resolveGroupColumns(ctx context.Context, orgID valuer.UUID, start, end uint64, groupBy []qbtypes.GroupByKey, keys map[string][]*telemetrytypes.TelemetryFieldKey) ([]groupColumn, error) {
if len(groupBy) == 0 {
return nil, nil
}
out := make([]groupColumn, 0, len(groupBy))
for i := range groupBy {
expr, err := b.fm.ColumnExpressionFor(ctx, orgID, start, end, &groupBy[i].TelemetryFieldKey, telemetrytypes.FieldDataTypeString, keys)
if err != nil {
return nil, err
}
out = append(out, groupColumn{alias: groupByColumnAlias(i, groupBy[i].Name), expr: sqlbuilder.Escape(expr)})
}
return out, nil
}
// ---------------------------------------------------------------------------
// Native trace-domain aggregation query
// ---------------------------------------------------------------------------
// scanContext is one per-scan resolution: a fresh builder with the mask, columns,
// span predicate, and optionally the trace-level HAVING resolved against it.
type scanContext struct {
sb *sqlbuilder.SelectBuilder
maskExpr string
resolved []resolvedColumn
spanPred string
having *traceHaving
warnings []string
warnURL string
}
func (b *scopedTraceStatementBuilder) newScanContext(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
keys map[string][]*telemetrytypes.TelemetryFieldKey,
spanExpr, traceExpr string,
variables map[string]qbtypes.VariableItem,
) (*scanContext, error) {
sc := &scanContext{sb: sqlbuilder.NewSelectBuilder()}
var err error
sc.maskExpr, sc.resolved, err = b.resolveFor(ctx, orgID, start, end, keys, sc.sb)
if err != nil {
return nil, err
}
if strings.TrimSpace(spanExpr) != "" {
pred, warns, url, err := b.resolveSpanPredicate(ctx, orgID, start, end, spanExpr, keys, variables, sc.sb)
if err != nil {
return nil, err
}
sc.spanPred, sc.warnings, sc.warnURL = pred, warns, url
}
if strings.TrimSpace(traceExpr) != "" {
sc.having, err = b.resolveTraceHaving(ctx, traceExpr, variables, sc.sb)
if err != nil {
return nil, err
}
}
return sc, nil
}
// buildTraceAggregationQuery aggregates over the per-trace scan: __qualified (when the
// filter has a trace-level part) → __scoped_traces → outer aggregation. start/end are ns.
func (b *scopedTraceStatementBuilder) buildTraceAggregationQuery(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
traceAggs []traceAggregation,
) (*qbtypes.Statement, error) {
var spanExpr, traceExpr string
var err error
if query.Filter != nil && strings.TrimSpace(query.Filter.Expression) != "" {
// the broad set so a condition on a display-only alias still lands in the
// trace-level part, where resolveTraceHaving rejects it by name
spanExpr, traceExpr, err = querybuilder.SplitFilterForAggregates(query.Filter.Expression, b.aggregateAliasSet())
if err != nil {
return nil, err
}
}
keys, err := b.fetchKeys(ctx, orgID, append(spanFilterSelectors(spanExpr), groupBySelectors(query.GroupBy)...)...)
if err != nil {
return nil, err
}
resourceFrag, resourceArgs, resourcePred, err := b.maybeAttachResourceFilter(ctx, orgID, query, start, end, variables)
if err != nil {
return nil, err
}
var cteFragments []string
var cteArgs [][]any
if resourceFrag != "" {
cteFragments = append(cteFragments, resourceFrag)
cteArgs = append(cteArgs, resourceArgs)
}
// __qualified: its own scan resolution, HAVING = the trace-level filter part
qualified := false
if strings.TrimSpace(traceExpr) != "" {
qsc, err := b.newScanContext(ctx, orgID, start, end, keys, "", traceExpr, variables)
if err != nil {
return nil, err
}
if qsc.having != nil {
qsql, qargs := b.buildPerTraceScan(qsc.sb, start, end, qsc.resolved, qsc.maskExpr, perTraceScanOpts{
needed: qsc.having.used,
havingPred: qsc.having.pred,
resourcePred: resourcePred,
})
cteFragments = append(cteFragments, fmt.Sprintf("__qualified AS (%s)", qsql))
cteArgs = append(cteArgs, qargs)
qualified = true
}
}
groupCols, err := b.resolveGroupColumns(ctx, orgID, start, end, query.GroupBy, keys)
if err != nil {
return nil, err
}
groupNames := make([]string, 0, len(groupCols))
for _, gc := range groupCols {
groupNames = append(groupNames, "`"+gc.alias+"`")
}
needed := make(map[string]struct{})
for _, ta := range traceAggs {
for a := range ta.used {
needed[a] = struct{}{}
}
}
// a window or step under one second would truncate to a zero divisor
windowSeconds := max((end-start)/querybuilder.NsToSeconds, 1)
stepSeconds := int64(0)
rateInterval := windowSeconds
if requestType == qbtypes.RequestTypeTimeSeries {
stepSeconds = int64(query.StepInterval.Seconds())
rateInterval = max(uint64(stepSeconds), 1)
}
// outer aggregation over the per-trace rows
sb := sqlbuilder.NewSelectBuilder()
selects := []string{}
if stepSeconds > 0 {
selects = append(selects, "ts")
}
selects = append(selects, groupNames...)
for i, ta := range traceAggs {
selects = append(selects, fmt.Sprintf("%s AS __result_%d", ta.rendered(rateInterval), i))
}
sb.Select(selects...)
sb.From("__scoped_traces")
// grouped, limited time series → rank groups on whole-window per-trace values
// (exact for non-composable aggregates) and prune the main scan to the top-N.
limitPred := ""
if requestType == qbtypes.RequestTypeTimeSeries && query.Limit > 0 && len(groupCols) > 0 {
tsc, err := b.newScanContext(ctx, orgID, start, end, keys, spanExpr, "", variables)
if err != nil {
return nil, err
}
totalSQL, totalArgs := b.buildPerTraceScan(tsc.sb, start, end, tsc.resolved, tsc.maskExpr, perTraceScanOpts{
groupCols: groupCols,
needed: needed,
spanPred: tsc.spanPred,
resourcePred: resourcePred,
qualified: qualified,
})
cteFragments = append(cteFragments, fmt.Sprintf("__scoped_traces_total AS (%s)", totalSQL))
cteArgs = append(cteArgs, totalArgs)
limitSQL, limitArgs := outerLimitSQL(query, traceAggs, groupNames, windowSeconds)
cteFragments = append(cteFragments, fmt.Sprintf("__limit_cte AS (%s)", limitSQL))
cteArgs = append(cteArgs, limitArgs)
exprs := make([]string, 0, len(groupCols))
for _, gc := range groupCols {
exprs = append(exprs, "toString("+gc.expr+")")
}
limitPred = fmt.Sprintf("(%s) GLOBAL IN (SELECT %s FROM __limit_cte)",
strings.Join(exprs, ", "), strings.Join(groupNames, ", "))
}
msc, err := b.newScanContext(ctx, orgID, start, end, keys, spanExpr, "", variables)
if err != nil {
return nil, err
}
perTraceSQL, perTraceArgs := b.buildPerTraceScan(msc.sb, start, end, msc.resolved, msc.maskExpr, perTraceScanOpts{
stepSeconds: stepSeconds,
groupCols: groupCols,
needed: needed,
spanPred: msc.spanPred,
resourcePred: resourcePred,
qualified: qualified,
limitPred: limitPred,
})
cteFragments = append(cteFragments, fmt.Sprintf("__scoped_traces AS (%s)", perTraceSQL))
cteArgs = append(cteArgs, perTraceArgs)
groupBys := []string{}
if stepSeconds > 0 {
groupBys = append(groupBys, "ts")
}
groupBys = append(groupBys, groupNames...)
if len(groupBys) > 0 {
sb.GroupBy(groupBys...)
}
if query.Having != nil && strings.TrimSpace(query.Having.Expression) != "" {
rewritten, err := querybuilder.NewHavingExpressionRewriter().RewriteForTraces(query.Having.Expression, query.Aggregations)
if err != nil {
return nil, err
}
sb.Having(sqlbuilder.Escape(rewritten))
}
if requestType == qbtypes.RequestTypeTimeSeries {
if len(query.Order) != 0 {
for _, orderBy := range query.Order {
if _, ok := traceAggOrderIndex(orderBy, query); !ok {
sb.OrderBy(fmt.Sprintf("`%s` %s", orderColumn(orderBy.Key.Name, query.GroupBy), orderBy.Direction.StringValue()))
}
}
sb.OrderBy("ts desc")
}
} else {
for _, orderBy := range query.Order {
if idx, ok := traceAggOrderIndex(orderBy, query); ok {
sb.OrderBy(fmt.Sprintf("__result_%d %s", idx, orderBy.Direction.StringValue()))
} else {
sb.OrderBy(fmt.Sprintf("`%s` %s", orderColumn(orderBy.Key.Name, query.GroupBy), orderBy.Direction.StringValue()))
}
}
if len(query.Order) == 0 {
sb.OrderBy("__result_0 DESC")
}
if query.Limit > 0 {
sb.Limit(query.Limit)
}
}
mainSQL, mainArgs := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
finalSQL := querybuilder.CombineCTEs(cteFragments) + mainSQL + " SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000"
finalArgs := querybuilder.PrependArgs(cteArgs, mainArgs)
return &qbtypes.Statement{
Query: finalSQL,
Args: finalArgs,
Warnings: msc.warnings,
WarningsDocURL: msc.warnURL,
}, nil
}
// rendered divides a rate aggregation by the interval (step for time series, window
// length for scalar); the divisor applies to the whole expression, which holds only
// because a rate must be the sole aggregation.
func (ta traceAggregation) rendered(rateInterval uint64) string {
if ta.isRate {
return fmt.Sprintf("%s/%d", ta.expr, rateInterval)
}
return ta.expr
}
// outerLimitSQL ranks groups on whole-window per-trace values, so a non-composable
// aggregate (avg) ranks exactly rather than over bucketed rows.
func outerLimitSQL(query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation], traceAggs []traceAggregation, groupNames []string, windowSeconds uint64) (string, []any) {
sb := sqlbuilder.NewSelectBuilder()
selects := append([]string{}, groupNames...)
for i, ta := range traceAggs {
selects = append(selects, fmt.Sprintf("%s AS __result_%d", ta.rendered(windowSeconds), i))
}
sb.Select(selects...)
sb.From("__scoped_traces_total")
sb.GroupBy(groupNames...)
for _, orderBy := range query.Order {
if idx, ok := traceAggOrderIndex(orderBy, query); ok {
sb.OrderBy(fmt.Sprintf("__result_%d %s", idx, orderBy.Direction.StringValue()))
} else {
sb.OrderBy(fmt.Sprintf("`%s` %s", orderColumn(orderBy.Key.Name, query.GroupBy), orderBy.Direction.StringValue()))
}
}
if len(query.Order) == 0 {
sb.OrderBy("__result_0 DESC")
}
sb.Limit(query.Limit)
return sb.BuildWithFlavor(sqlbuilder.ClickHouse)
}
// traceAggOrderIndex reports whether an order key refers to the i-th aggregation
// (by alias, expression, or index), mirroring the trace builder.
func traceAggOrderIndex(k qbtypes.OrderBy, q qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]) (int, bool) {
for i, agg := range q.Aggregations {
if k.Key.Name == agg.Alias ||
k.Key.Name == agg.Expression ||
k.Key.Name == fmt.Sprintf("%d", i) {
return i, true
}
}
return 0, false
}

View File

@@ -1,75 +0,0 @@
package scopedtracesstatementbuilder
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestRewriteTraceAggregation(t *testing.T) {
cols := map[string]struct{}{
"input_tokens": {}, "output_tokens": {}, "total_tokens": {}, "llm_call_count": {}, "max_llm_latency_ns": {},
}
cases := []struct {
name string
expr string
isTrace bool
want string // rewritten expr, only checked when isTrace
used []string
wantErr string
}{
{name: "avg trace col", expr: "avg(trace.output_tokens)", isTrace: true, want: "avg(output_tokens)", used: []string{"output_tokens"}},
{name: "sum trace col", expr: "sum(trace.total_tokens)", isTrace: true, want: "sum(total_tokens)", used: []string{"total_tokens"}},
{name: "count traces", expr: "count(trace.trace_id)", isTrace: true, want: "count(trace_id)"},
{name: "p90 trace col", expr: "p90(trace.max_llm_latency_ns)", isTrace: true, want: "quantile(0.90)(max_llm_latency_ns)", used: []string{"max_llm_latency_ns"}},
{name: "arithmetic between trace cols", expr: "avg(trace.output_tokens + trace.input_tokens)", isTrace: true, want: "avg(output_tokens + input_tokens)", used: []string{"output_tokens", "input_tokens"}},
{name: "arithmetic with constant", expr: "sum(trace.output_tokens * 1.5)", isTrace: true, want: "sum(output_tokens * 1.5)", used: []string{"output_tokens"}},
{name: "ratio of two aggregations", expr: "sum(trace.output_tokens)/count(trace.trace_id)", isTrace: true, want: "sum(output_tokens) / count(trace_id)", used: []string{"output_tokens"}},
{name: "backquoted trace col", expr: "avg(`trace.output_tokens`)", isTrace: true, want: "avg(`output_tokens`)", used: []string{"output_tokens"}},
{name: "bare count is span-level", expr: "count()", isTrace: false},
{name: "span attribute is span-level", expr: "sum(gen_ai.usage.output_tokens)", isTrace: false},
{name: "countIf span predicate is span-level", expr: "countIf(has_error = true)", isTrace: false},
{name: "mixed domains in one expression", expr: "sum(trace.output_tokens) + sum(gen_ai.usage.input_tokens)", wantErr: "mixes trace-level"},
{name: "mixed domains in one function", expr: "sum(trace.output_tokens + gen_ai.usage.input_tokens)", wantErr: "mixes trace-level"},
{name: "output-only column rejected", expr: "avg(trace.span_count)", wantErr: "unknown trace-level aggregation column"},
{name: "unknown column rejected", expr: "avg(trace.bogus)", wantErr: "unknown trace-level aggregation column"},
// a dotted column keeps every segment after the prefix, so it is reported whole
{name: "multi segment column rejected by full name", expr: "avg(trace.service.name)", wantErr: `"trace.service.name"`},
{name: "bare trace identifier is span-level", expr: "avg(trace)", isTrace: false},
{name: "countIf over trace col rejected", expr: "countIf(trace.output_tokens > 1000)", wantErr: "not supported"},
{name: "bare trace col rejected", expr: "trace.output_tokens", wantErr: "must be inside an aggregation function"},
{name: "backquoted bare trace col rejected", expr: "`trace.output_tokens`", wantErr: "must be inside an aggregation function"},
{name: "bare trace_id rejected", expr: "trace.trace_id", wantErr: "must be inside an aggregation function"},
{name: "arithmetic outside an aggregation rejected", expr: "trace.output_tokens + trace.input_tokens", wantErr: "must be inside an aggregation function"},
{name: "trace col beside an aggregation rejected", expr: "sum(trace.output_tokens) + trace.input_tokens", wantErr: "must be inside an aggregation function"},
{name: "aggregation scaled by a constant", expr: "sum(trace.output_tokens) * 2", isTrace: true, want: "sum(output_tokens) * 2", used: []string{"output_tokens"}},
{name: "rate over traces", expr: "rate(trace.trace_id)", isTrace: true, want: "count(trace_id)"},
{name: "rate_sum trace col", expr: "rate_sum(trace.output_tokens)", isTrace: true, want: "sum(output_tokens)", used: []string{"output_tokens"}},
// the interval divides the whole rendered expression, so a second aggregation
// alongside a rate would be divided too
{name: "rate mixed with another aggregation rejected", expr: "rate(trace.trace_id) + avg(trace.output_tokens)", wantErr: "combines a rate with another aggregation"},
{name: "ratio of two rates rejected", expr: "rate_sum(trace.output_tokens)/rate_sum(trace.input_tokens)", wantErr: "combines a rate with another aggregation"},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
ta, isTrace, err := rewriteTraceAggregation(tc.expr, cols)
if tc.wantErr != "" {
require.ErrorContains(t, err, tc.wantErr)
return
}
require.NoError(t, err)
require.Equal(t, tc.isTrace, isTrace)
if !tc.isTrace {
return
}
assert.Equal(t, tc.want, ta.expr)
for _, u := range tc.used {
assert.Contains(t, ta.used, u)
}
assert.Len(t, ta.used, len(tc.used))
})
}
}

View File

@@ -1,144 +0,0 @@
package scopedtracesstatementbuilder
import (
"context"
"strings"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/querybuilder"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
qbvariables "github.com/SigNoz/signoz/pkg/variables"
"github.com/huandu/go-sqlbuilder"
)
// traceHaving is the resolved trace-level filter part: a HAVING predicate over the
// per-trace aliases plus the aliases it references (so scans select only those).
type traceHaving struct {
pred string
used map[string]struct{}
}
// resolveTraceHaving runs a trace-level filter through the standard where-clause
// pipeline against the per-trace aliases, so operators, bound args, and __all__ behave
// as in span filters. Returns nil when nothing is left to filter; args bind into sb.
func (b *scopedTraceStatementBuilder) resolveTraceHaving(ctx context.Context, expr string, variables map[string]qbtypes.VariableItem, sb *sqlbuilder.SelectBuilder) (*traceHaving, error) {
if strings.TrimSpace(expr) == "" {
return nil, nil //nolint:nilnil
}
// replaced before validation so variable literals are not mistaken for aggregate
// names; an unresolved $var is left in place and fails validation as an unknown one
if len(variables) > 0 {
replaced, err := qbvariables.ReplaceVariablesInExpression(expr, variables)
if err != nil {
return nil, err
}
expr = replaced
if strings.TrimSpace(expr) == "" {
return nil, nil //nolint:nilnil
}
}
allowed := b.filterableColumnSet()
// upfront targeted errors; the visitor folds them into a combined "Found N errors"
if err := validateAggregateFilter(expr, allowed); err != nil {
return nil, err
}
// both spellings resolve here: the key parser strips the trace. prefix into
// FieldContextTrace, which matches this entry's context
fieldKeys := make(map[string][]*telemetrytypes.TelemetryFieldKey, len(allowed))
for alias := range allowed {
key := &telemetrytypes.TelemetryFieldKey{Name: alias, FieldContext: telemetrytypes.FieldContextTrace}
fieldKeys[alias] = []*telemetrytypes.TelemetryFieldKey{key}
}
cb := &aliasConditionBuilder{allowed: allowed, used: make(map[string]struct{})}
prepared, err := querybuilder.PrepareWhereClause(expr, querybuilder.FilterExprVisitorOpts{
Context: ctx,
Logger: b.logger,
ConditionBuilder: cb,
FieldKeys: fieldKeys,
Variables: variables,
Builder: sb,
})
if err != nil {
return nil, err
}
if prepared.IsEmpty() {
return nil, nil //nolint:nilnil
}
return &traceHaving{pred: prepared.Expr, used: cb.used}, nil
}
// aliasConditionBuilder renders filter conditions directly against the per-trace
// aliases, recording the ones it touches; a key resolving to no alias is an error.
type aliasConditionBuilder struct {
allowed map[string]struct{}
used map[string]struct{}
}
var _ qbtypes.ConditionBuilder = (*aliasConditionBuilder)(nil)
func (c *aliasConditionBuilder) ConditionFor(
_ context.Context,
_ valuer.UUID,
_, _ uint64,
key *telemetrytypes.TelemetryFieldKey,
keys map[string][]*telemetrytypes.TelemetryFieldKey,
_ qbtypes.ConditionBuilderOptions,
op qbtypes.FilterOperator,
value any,
sb *sqlbuilder.SelectBuilder,
) ([]string, []string, error) {
matching := keys[key.Name]
if len(matching) == 0 {
return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput,
"aggregate %q cannot be used in a trace-level filter; filterable aggregates: %s",
key.Name, strings.Join(sortedAliases(c.allowed), ", "))
}
alias := matching[0].Name
c.used[alias] = struct{}{}
col := quoteAlias(alias)
var cond string
switch op {
case qbtypes.FilterOperatorEqual:
cond = sb.E(col, value)
case qbtypes.FilterOperatorNotEqual:
cond = sb.NE(col, value)
case qbtypes.FilterOperatorGreaterThan:
cond = sb.G(col, value)
case qbtypes.FilterOperatorGreaterThanOrEq:
cond = sb.GE(col, value)
case qbtypes.FilterOperatorLessThan:
cond = sb.L(col, value)
case qbtypes.FilterOperatorLessThanOrEq:
cond = sb.LE(col, value)
case qbtypes.FilterOperatorIn, qbtypes.FilterOperatorNotIn:
values, ok := value.([]any)
if !ok {
values = []any{value}
}
if op == qbtypes.FilterOperatorIn {
cond = sb.In(col, values...)
} else {
cond = sb.NotIn(col, values...)
}
case qbtypes.FilterOperatorBetween, qbtypes.FilterOperatorNotBetween:
values, ok := value.([]any)
if !ok || len(values) != 2 {
return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput,
"between on trace-level aggregate %q requires exactly two values", alias)
}
if op == qbtypes.FilterOperatorBetween {
cond = sb.Between(col, values[0], values[1])
} else {
cond = sb.NotBetween(col, values[0], values[1])
}
default:
return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput,
"trace-level aggregate %q supports only comparison operators (=, !=, <, <=, >, >=, in, between)", alias)
}
return []string{cond}, nil, nil
}

View File

@@ -33,12 +33,6 @@ type traceQueryStatementBuilder struct {
aggExprRewriter qbtypes.AggExprRewriter
fl flagger.Flagger
skipResourceFingerprintEnabled bool
// traceScope, set only on the per-call copy made by BuildTraceScoped, constrains
// queries to spans whose trace_id is in the __trace_scope CTE.
traceScope *qbtypes.Statement
// traceScopeResource is the __resource_filter CTE traceScope's predicate references,
// emitted only when this builder's own resource filter did not already emit it.
traceScopeResource *qbtypes.Statement
}
var _ qbtypes.StatementBuilder[qbtypes.TraceAggregation] = (*traceQueryStatementBuilder)(nil)
@@ -103,41 +97,6 @@ func NewTraceQueryStatementBuilder(
}
}
// BuildTraceScoped is Build constrained to trace_ids selected by traceScope; the
// receiver is copied so the shared builder stays stateless.
func (b *traceQueryStatementBuilder) BuildTraceScoped(
ctx context.Context,
orgID valuer.UUID,
start uint64,
end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
traceScope, traceScopeResource *qbtypes.Statement,
) (*qbtypes.Statement, error) {
scoped := *b
scoped.traceScope = traceScope
scoped.traceScopeResource = traceScopeResource
return scoped.Build(ctx, orgID, start, end, requestType, query, variables)
}
// attachTraceScope adds the trace-scope condition to sb and returns the CTE fragments
// + args to prepend; resourceEmitted reports whether the query already carries the
// __resource_filter CTE, so the scope's copy is emitted only when it does not.
func (b *traceQueryStatementBuilder) attachTraceScope(sb *sqlbuilder.SelectBuilder, resourceEmitted bool) ([]string, [][]any) {
if b.traceScope == nil {
return nil, nil
}
sb.Where("trace_id GLOBAL IN (SELECT trace_id FROM __trace_scope)")
var frags []string
var args [][]any
if b.traceScopeResource != nil && !resourceEmitted {
frags = append(frags, fmt.Sprintf("__resource_filter AS (%s)", b.traceScopeResource.Query))
args = append(args, b.traceScopeResource.Args)
}
return append(frags, fmt.Sprintf("__trace_scope AS (%s)", b.traceScope.Query)), append(args, b.traceScope.Args)
}
// Build builds a SQL query for traces based on the given parameters.
func (b *traceQueryStatementBuilder) Build(
ctx context.Context,
@@ -562,11 +521,6 @@ func (b *traceQueryStatementBuilder) buildTimeSeriesQuery(
cteArgs = append(cteArgs, args)
}
if scopeFrags, scopeArgs := b.attachTraceScope(sb, frag != ""); len(scopeFrags) > 0 {
cteFragments = append(cteFragments, scopeFrags...)
cteArgs = append(cteArgs, scopeArgs...)
}
sb.SelectMore(fmt.Sprintf(
"toStartOfInterval(timestamp, INTERVAL %d SECOND) AS ts",
int64(query.StepInterval.Seconds()),
@@ -727,13 +681,6 @@ func (b *traceQueryStatementBuilder) buildScalarQuery(
cteArgs = append(cteArgs, args)
}
// skipResourceCTE means this scalar is embedded as a CTE of a time-series query,
// which has already emitted the __trace_scope fragment — add only the condition.
if scopeFrags, scopeArgs := b.attachTraceScope(sb, frag != ""); len(scopeFrags) > 0 && !skipResourceCTE {
cteFragments = append(cteFragments, scopeFrags...)
cteArgs = append(cteArgs, scopeArgs...)
}
allAggChArgs := []any{}
fieldNames := make([]string, 0, len(query.GroupBy))

View File

@@ -4,6 +4,9 @@ settings:
autoInstallPeers: true
excludeLinksFromLockfile: false
overrides:
brace-expansion@>=5.0.0 <5.0.9: '>=5.0.9 <6'
importers:
.:
@@ -377,9 +380,9 @@ packages:
resolution: {integrity: sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA==}
engines: {node: 18 || 20 || >=22}
brace-expansion@5.0.5:
resolution: {integrity: sha512-VZznLgtwhn+Mact9tfiwx64fA9erHH/MCXEUfB/0bX/6Fz6ny5EGTXYltMocqg4xFAQZtnO3DHWWXi8RiuN7cQ==}
engines: {node: 18 || 20 || >=22}
brace-expansion@5.0.9:
resolution: {integrity: sha512-ScQ4IuvIEF1TMlP7Zt+vjJ//9zlPb2SDcxWxM3bk8s6t6GGdJ7KO1dCcTidOPJKePW30LE/2cT7wCyPho9/Wxg==}
engines: {node: 20 || >=22}
cross-spawn@7.0.6:
resolution: {integrity: sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==}
@@ -845,7 +848,7 @@ snapshots:
balanced-match@4.0.4: {}
brace-expansion@5.0.5:
brace-expansion@5.0.9:
dependencies:
balanced-match: 4.0.4
@@ -998,7 +1001,7 @@ snapshots:
minimatch@10.2.5:
dependencies:
brace-expansion: 5.0.5
brace-expansion: 5.0.9
ms@2.1.3: {}

View File

@@ -0,0 +1,6 @@
# Security floors for vulnerable transitive deps. Where possible, targets are
# capped to avoid crossing breaking versions (major; and minor for 0.x).
overrides:
# via: eslint-plugin-playwright > eslint@10 > minimatch@10.2.5 (brace-expansion ^5.0.5)
# remove: blocked — minimatch@10.2.6 (latest) only widens to ^5.0.8, still vulnerable
'brace-expansion@>=5.0.0 <5.0.9': '>=5.0.9 <6'

View File

@@ -1,16 +1,5 @@
from datetime import datetime, timedelta
from http import HTTPStatus
from fixtures import types
from fixtures.querier import (
Aggregation,
BuilderQuery,
OrderBy,
RequestType,
TelemetryFieldKey,
get_scalar_table_data,
make_query_request,
)
from fixtures.traces import TraceIdGenerator, Traces, TracesKind, TracesStatusCode
@@ -43,10 +32,10 @@ def ai_trace(
*,
now: datetime,
service: str,
user: str,
in_tokens: int | None,
out_tokens: int,
user: str = "user",
cost: float = 0.1,
cost: float,
model: str = "gpt-4o-mini",
environment: str = "production",
) -> list[Traces]:
@@ -85,28 +74,6 @@ def ai_trace(
]
def tool_only_trace(*, now: datetime, service: str) -> list[Traces]:
"""Root + one tool span: passes the gen_ai gate but has NO LLM span."""
trace_id = TraceIdGenerator.trace_id()
root_id = TraceIdGenerator.span_id()
resources = {"service.name": service}
return [
root_span(now=now, trace_id=trace_id, span_id=root_id, resources=resources, duration_s=2),
Traces(
timestamp=now - timedelta(seconds=4),
duration=timedelta(seconds=0.5),
trace_id=trace_id,
span_id=TraceIdGenerator.span_id(),
parent_span_id=root_id,
name="execute_tool",
kind=TracesKind.SPAN_KIND_INTERNAL,
status_code=TracesStatusCode.STATUS_CODE_OK,
resources=resources,
attributes={"gen_ai.tool.name": "get_weather", "gen_ai.tool.type": "function"},
),
]
def ai_trace_mixed_spans(*, now: datetime, service: str, user: str) -> list[Traces]:
"""Root + LLM + tool + agent spans; only the LLM span carries gen_ai.request.model."""
trace_id = TraceIdGenerator.trace_id()
@@ -149,48 +116,3 @@ def ai_trace_mixed_spans(*, now: datetime, service: str, user: str) -> list[Trac
),
child("agent.step", TracesKind.SPAN_KIND_INTERNAL, {"gen_ai.agent.name": "chat-agent"}, 2),
]
def ai_aggregation_query(
service: str,
expression: str,
*,
filter_extra: str = "",
group_by: list[TelemetryFieldKey] | None = None,
alias: str | None = None,
having: str | None = None,
order: list[OrderBy] | None = None,
limit: int | None = None,
step_interval: int | None = None,
) -> dict:
filter_expression = f"service.name = '{service}'"
if filter_extra:
filter_expression += f" AND {filter_extra}"
return BuilderQuery(
signal="traces",
query_type="builder_ai_query",
name="A",
filter_expression=filter_expression,
aggregations=[Aggregation(expression=expression, alias=alias)],
group_by=group_by,
having_expression=having,
order=order,
limit=limit,
step_interval=step_interval,
).to_dict()
def scalar_value(signoz: types.SigNoz, token: str, start_ms: int, end_ms: int, service: str, expression: str, filter_extra: str = "") -> float:
"""The single cell of a one-aggregation, ungrouped scalar query."""
response = make_query_request(
signoz,
token,
start_ms,
end_ms,
[ai_aggregation_query(service, expression, filter_extra=filter_extra)],
request_type=RequestType.SCALAR,
)
assert response.status_code == HTTPStatus.OK, f"{expression}: {response.text}"
data = get_scalar_table_data(response.json())
assert len(data) == 1, f"{expression}: expected one row, got {data}"
return float(data[0][-1])

View File

@@ -72,8 +72,8 @@ def test_ai_list_having_aggregate_filter(
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""One filter box splits into WHERE + HAVING; bare and `trace.` spellings behave
identically; an output-only aggregate is rejected."""
"""Span + aggregate condition in one filter box splits into WHERE + HAVING; bare
and `trace.` spellings behave identically; an output-only aggregate is rejected."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-having"
@@ -322,8 +322,9 @@ def test_ai_list_nested_group_span_or_and_aggregate(
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""A nested (span OR span) group ANDed with an aggregate must not flatten: span
predicates go to WHERE, the aggregate to HAVING."""
"""service.name = X AND (has_error = true OR gen_ai.request.model = 'gpt-4o') AND
total_tokens > 100: the nested OR group must not flatten, span predicates go to
WHERE, the aggregate to HAVING."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-nested"

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@@ -1,502 +0,0 @@
from collections.abc import Callable
from datetime import UTC, datetime, timedelta
from http import HTTPStatus
import pytest
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.querier import (
Aggregation,
BuilderQuery,
OrderBy,
RequestType,
TelemetryFieldKey,
get_all_series,
get_scalar_columns,
get_scalar_table_data,
get_series_values,
make_query_request,
)
from fixtures.querierai import ai_aggregation_query, ai_trace, query_window, scalar_value, tool_only_trace
from fixtures.traces import TraceIdGenerator, Traces, TracesKind, TracesStatusCode
def test_ai_scalar_trace_level_aggregations(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Scalars over per-trace values, and the bare-key span domain through the same request type."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-scalar"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + ai_trace(now=now, service=service, in_tokens=30, out_tokens=300))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
def value(expression: str) -> float:
return scalar_value(signoz, token, start_ms, end_ms, service, expression)
assert value("avg(trace.output_tokens)") == pytest.approx(200)
assert value("count(trace.trace_id)") == 2
assert value("max(trace.total_tokens)") == pytest.approx(330)
assert value("p50(trace.output_tokens)") == pytest.approx(200) # AggreFuncMap -> quantile(0.50)
# arithmetic inside one function and between functions
assert value("avg(trace.output_tokens + trace.input_tokens)") == pytest.approx(220)
assert value("sum(trace.output_tokens)/count(trace.trace_id)") == pytest.approx(200)
assert value("count()") == 2 # the two LLM spans; roots are not gen_ai
assert value("sum(gen_ai.usage.output_tokens)") == pytest.approx(400)
# multiple trace-level aggregations in one query -> one column per aggregation
multi = BuilderQuery(
signal="traces",
query_type="builder_ai_query",
name="A",
filter_expression=f"service.name = '{service}'",
aggregations=[Aggregation(expression="avg(trace.output_tokens)"), Aggregation(expression="count(trace.trace_id)")],
)
resp = make_query_request(signoz, token, start_ms, end_ms, [multi.to_dict()], request_type=RequestType.SCALAR)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
assert len(data) == 1 and [float(v) for v in data[0]] == [pytest.approx(200), 2], data
def test_ai_scalar_trace_level_filter_qualifies_traces(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""A trace-level condition qualifies whole traces before aggregation, on both domains."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-qualify"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + ai_trace(now=now, service=service, in_tokens=30, out_tokens=300))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
for expression in (
"sum(trace.output_tokens)", # native trace-domain path
"sum(gen_ai.usage.output_tokens)", # delegated span-domain path (__trace_scope)
):
got = scalar_value(signoz, token, start_ms, end_ms, service, expression, filter_extra="trace.output_tokens > 100")
assert got == pytest.approx(300), expression
# the qualification also constrains delegated (span-domain) time series
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[
ai_aggregation_query(
service,
"sum(gen_ai.usage.output_tokens)",
filter_extra="trace.output_tokens > 100",
step_interval=60,
)
],
request_type=RequestType.TIME_SERIES,
)
assert resp.status_code == HTTPStatus.OK, resp.text
assert [v["value"] for v in get_series_values(resp.json(), "A")] == [pytest.approx(300)]
def test_ai_scalar_group_by_model(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Trace-level aggregation grouped by a span attribute."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-groupby"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100, model="gpt-4o") + ai_trace(now=now, service=service, in_tokens=10, out_tokens=300, model="gpt-4o") + ai_trace(now=now, service=service, in_tokens=10, out_tokens=50, model="gpt-4o-mini"))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[ai_aggregation_query(service, "avg(trace.output_tokens)", group_by=[TelemetryFieldKey(name="gen_ai.request.model")])],
request_type=RequestType.SCALAR,
)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
by_model = {row[0]: float(row[-1]) for row in data}
assert by_model == {"gpt-4o": pytest.approx(200), "gpt-4o-mini": pytest.approx(50)}, data
def test_ai_scalar_group_by_intrinsic_span_column(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Grouping by an intrinsic must not alias the group column to the span column it reads
(`toString(name) AS name` is a cyclic alias ClickHouse rejects)."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-groupby-intrinsic"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + ai_trace(now=now, service=service, in_tokens=10, out_tokens=300) + tool_only_trace(now=now, service=service))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[
ai_aggregation_query(
service,
"count(trace.trace_id)",
group_by=[TelemetryFieldKey(name="name")],
order=[OrderBy(key=TelemetryFieldKey(name="name"), direction="asc")],
)
],
request_type=RequestType.SCALAR,
)
assert resp.status_code == HTTPStatus.OK, resp.text
columns = get_scalar_columns(resp.json())
assert columns[0]["name"] == "name", columns
data = get_scalar_table_data(resp.json())
# the root spans are gated out, so each trace groups under its gen_ai span name
assert [(row[0], int(row[-1])) for row in data] == [("chat gpt-4o-mini", 2), ("execute_tool", 1)], data
def test_ai_timeseries_trace_level_aggregation(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-ts"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + ai_trace(now=now, service=service, in_tokens=30, out_tokens=300))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
# all spans fall in one step bucket
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[ai_aggregation_query(service, "avg(trace.output_tokens)", step_interval=60)],
request_type=RequestType.TIME_SERIES,
)
assert resp.status_code == HTTPStatus.OK, resp.text
assert [v["value"] for v in get_series_values(resp.json(), "A")] == [pytest.approx(200)]
def test_ai_timeseries_top_n_groups(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""A grouped, limited time series ranks groups on whole-window per-trace values in
the requested order."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-topn"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=300, model="gpt-4o") + ai_trace(now=now, service=service, in_tokens=10, out_tokens=100, model="gpt-4o") + ai_trace(now=now, service=service, in_tokens=10, out_tokens=50, model="gpt-4o-mini"))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
def top_series(order: list[OrderBy] | None) -> dict:
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[
ai_aggregation_query(
service,
"sum(trace.output_tokens)",
group_by=[TelemetryFieldKey(name="gen_ai.request.model")],
alias="total_out",
order=order,
limit=1,
step_interval=60,
)
],
request_type=RequestType.TIME_SERIES,
)
assert resp.status_code == HTTPStatus.OK, resp.text
series = get_all_series(resp.json(), "A")
assert len(series) == 1, f"limit=1 must keep exactly one group, got {len(series)} series"
return series[0]
top = top_series(None) # default ranking: first aggregation desc
assert top["labels"][0]["value"] == "gpt-4o", top["labels"]
assert [v["value"] for v in top["values"]] == [pytest.approx(400)]
bottom = top_series([OrderBy(key=TelemetryFieldKey(name="total_out"), direction="asc")])
assert bottom["labels"][0]["value"] == "gpt-4o-mini", bottom["labels"]
assert [v["value"] for v in bottom["values"]] == [pytest.approx(50)]
def test_ai_scalar_group_order_limit(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Scalar limit is a plain top-N over the grouped rows."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-scalar-limit"
insert_traces(
ai_trace(now=now, service=service, in_tokens=10, out_tokens=300, model="gpt-4o")
+ ai_trace(now=now, service=service, in_tokens=10, out_tokens=100, model="gpt-4o")
+ ai_trace(now=now, service=service, in_tokens=10, out_tokens=50, model="gpt-4o-mini")
+ ai_trace(now=now, service=service, in_tokens=10, out_tokens=10, model="gpt-4")
)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[
ai_aggregation_query(
service,
"sum(trace.output_tokens)",
group_by=[TelemetryFieldKey(name="gen_ai.request.model")],
alias="total_out",
order=[OrderBy(key=TelemetryFieldKey(name="total_out"), direction="desc")],
limit=2,
)
],
request_type=RequestType.SCALAR,
)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
assert [(row[0], float(row[-1])) for row in data] == [("gpt-4o", pytest.approx(400)), ("gpt-4o-mini", pytest.approx(50))], data
def test_ai_timeseries_span_time_bucketing(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Per-trace values are clipped per (bucket, trace), so a trace spanning two buckets
contributes each call's tokens to its own bucket, not the total to both."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-buckets"
trace_id = TraceIdGenerator.trace_id()
root_id = TraceIdGenerator.span_id()
resources = {"service.name": service}
def llm(offset_s: float, out_tokens: int) -> Traces:
return Traces(
timestamp=now - timedelta(seconds=offset_s),
duration=timedelta(seconds=1),
trace_id=trace_id,
span_id=TraceIdGenerator.span_id(),
parent_span_id=root_id,
name="chat",
kind=TracesKind.SPAN_KIND_CLIENT,
status_code=TracesStatusCode.STATUS_CODE_OK,
resources=resources,
attributes={"gen_ai.request.model": "gpt-4o-mini", "gen_ai.usage.output_tokens": out_tokens},
)
root = Traces(
timestamp=now - timedelta(seconds=130),
duration=timedelta(seconds=130),
trace_id=trace_id,
span_id=root_id,
parent_span_id="",
name="POST /api/chat",
kind=TracesKind.SPAN_KIND_SERVER,
status_code=TracesStatusCode.STATUS_CODE_OK,
resources=resources,
attributes={"http.request.method": "POST"},
)
# two LLM calls two minutes apart
insert_traces([root, llm(124, 100), llm(4, 300)])
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[ai_aggregation_query(service, "avg(trace.output_tokens)", step_interval=60)],
request_type=RequestType.TIME_SERIES,
)
assert resp.status_code == HTTPStatus.OK, resp.text
series = get_all_series(resp.json(), "A")
assert len(series) == 1, series
assert sorted(v["value"] for v in series[0]["values"]) == [pytest.approx(100), pytest.approx(300)], series
def test_ai_scalar_variables_in_trace_level_filter(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""Variables resolve inside trace-level conditions with span-filter semantics."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-vars"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + ai_trace(now=now, service=service, in_tokens=30, out_tokens=300))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
query = ai_aggregation_query(service, "sum(trace.output_tokens)", filter_extra="trace.output_tokens > $threshold")
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[query],
request_type=RequestType.SCALAR,
variables={"threshold": {"type": "text", "value": 100}},
)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
assert len(data) == 1 and float(data[0][-1]) == pytest.approx(300), data
# an unresolvable $var is a 400 today via aggregate validation
resp = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.SCALAR)
assert resp.status_code == HTTPStatus.BAD_REQUEST, resp.text
# quotes in the message are JSON-escaped, so match the halves separately
assert "$threshold" in resp.text and "cannot be used in a trace-level filter" in resp.text, resp.text
# a dynamic variable resolved to __all__ drops the condition (both traces count)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[query],
request_type=RequestType.SCALAR,
variables={"threshold": {"type": "dynamic", "value": "__all__"}},
)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
assert len(data) == 1 and float(data[0][-1]) == pytest.approx(400), data
def test_ai_scalar_tool_only_trace_null_semantics(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""A tool-only trace (in the gate, no LLM span) follows plain SQL NULL semantics."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-toolonly"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100) + tool_only_trace(now=now, service=service))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
def value(expression: str, filter_extra: str = "") -> float:
return scalar_value(signoz, token, start_ms, end_ms, service, expression, filter_extra)
assert value("count(trace.trace_id)") == 2, "tool-only trace is an AI trace and must be counted"
assert value("avg(trace.output_tokens)") == pytest.approx(100), "NULL tokens are skipped by avg"
assert value("avg(trace.tool_call_count)") == pytest.approx(0.5), "tool-only trace feeds tool aggregates (1 and 0 calls)"
assert value("count()") == 2, "span-level count sees the LLM and the tool span"
# filtering on LLM activity is explicit, not implicit
assert value("count(trace.trace_id)", filter_extra="trace.llm_call_count > 0") == 1
def test_ai_scalar_having_on_aggregation(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
"""The outer having filters aggregation results per group (by alias)."""
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-having"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=300, model="gpt-4o") + ai_trace(now=now, service=service, in_tokens=10, out_tokens=50, model="gpt-4o-mini"))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
resp = make_query_request(
signoz,
token,
start_ms,
end_ms,
[
ai_aggregation_query(
service,
"avg(trace.output_tokens)",
group_by=[TelemetryFieldKey(name="gen_ai.request.model")],
alias="avg_out",
having="avg_out > 100",
)
],
request_type=RequestType.SCALAR,
)
assert resp.status_code == HTTPStatus.OK, resp.text
data = get_scalar_table_data(resp.json())
assert len(data) == 1 and data[0][0] == "gpt-4o", data
def test_ai_aggregation_rejections(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_traces: Callable[[list[Traces]], None],
) -> None:
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
service = "ai-it-agg-reject"
insert_traces(ai_trace(now=now, service=service, in_tokens=10, out_tokens=100))
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
start_ms, end_ms = query_window(now)
def expect_bad_request(query: dict, message: str) -> None:
resp = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.SCALAR)
assert resp.status_code == HTTPStatus.BAD_REQUEST, resp.text
assert message in resp.text, resp.text
# span-level and trace-level aggregations cannot be mixed in one query
mixed = BuilderQuery(
signal="traces",
query_type="builder_ai_query",
name="A",
filter_expression=f"service.name = '{service}'",
aggregations=[Aggregation(expression="avg(trace.output_tokens)"), Aggregation(expression="count()")],
)
expect_bad_request(mixed.to_dict(), "cannot be mixed")
expect_bad_request(
ai_aggregation_query(service, "avg(trace.output_tokens)", group_by=[TelemetryFieldKey(name="trace.llm_call_count")]),
"grouping by trace-level aggregate",
)
# a bare per-trace column would emit one row per trace instead of one aggregated row
expect_bad_request(ai_aggregation_query(service, "trace.output_tokens"), "must be inside an aggregation function")
# the rate interval divides the whole expression, so it may not carry a second aggregation
expect_bad_request(ai_aggregation_query(service, "rate(trace.trace_id) + avg(trace.output_tokens)"), "combines a rate with another aggregation")
# order-by is stopped earlier, by request validation
expect_bad_request(
ai_aggregation_query(service, "avg(trace.output_tokens)", order=[OrderBy(key=TelemetryFieldKey(name="trace.total_tokens"), direction="desc")]),
"invalid order by key",
)