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fix/unit_c
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test/e2e/b
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0de2dbf674 |
@@ -11,7 +11,6 @@ import {
|
||||
|
||||
const dashboardVariablesQuery = async (
|
||||
props: Props,
|
||||
signal?: AbortSignal,
|
||||
): Promise<SuccessResponse<VariableResponseProps> | ErrorResponse> => {
|
||||
try {
|
||||
const { globalTime } = store.getState();
|
||||
@@ -33,7 +32,7 @@ const dashboardVariablesQuery = async (
|
||||
|
||||
payload.variables = { ...payload.variables, ...timeVariables };
|
||||
|
||||
const response = await axios.post(`/variables/query`, payload, { signal });
|
||||
const response = await axios.post(`/variables/query`, payload);
|
||||
|
||||
return {
|
||||
statusCode: 200,
|
||||
|
||||
@@ -19,7 +19,6 @@ export const getFieldValues = async (
|
||||
startUnixMilli?: number,
|
||||
endUnixMilli?: number,
|
||||
existingQuery?: string,
|
||||
abortSignal?: AbortSignal,
|
||||
): Promise<SuccessResponseV2<FieldValueResponse>> => {
|
||||
const params: Record<string, string> = {};
|
||||
|
||||
@@ -48,10 +47,7 @@ export const getFieldValues = async (
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await axios.get('/fields/values', {
|
||||
params,
|
||||
signal: abortSignal,
|
||||
});
|
||||
const response = await axios.get('/fields/values', { params });
|
||||
|
||||
// Normalize values from different types (stringValues, boolValues, etc.)
|
||||
if (response.data?.data?.values) {
|
||||
|
||||
@@ -73,7 +73,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
enableRegexOption = false,
|
||||
isDynamicVariable = false,
|
||||
showRetryButton = true,
|
||||
waitingMessage,
|
||||
...rest
|
||||
}) => {
|
||||
// ===== State & Refs =====
|
||||
@@ -1682,7 +1681,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
{!loading &&
|
||||
!errorMessage &&
|
||||
!noDataMessage &&
|
||||
!waitingMessage &&
|
||||
!(showIncompleteDataMessage && isScrolledToBottom) && (
|
||||
<section className="navigate">
|
||||
<ArrowDown size={8} className="icons" />
|
||||
@@ -1700,17 +1698,7 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
<div className="navigation-text">Refreshing values...</div>
|
||||
</div>
|
||||
)}
|
||||
{!loading && waitingMessage && (
|
||||
<div className="navigation-loading">
|
||||
<div className="navigation-icons">
|
||||
<LoadingOutlined />
|
||||
</div>
|
||||
<div className="navigation-text" title={waitingMessage}>
|
||||
{waitingMessage}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{errorMessage && !loading && !waitingMessage && (
|
||||
{errorMessage && !loading && (
|
||||
<div className="navigation-error">
|
||||
<div className="navigation-text">
|
||||
{errorMessage || SOMETHING_WENT_WRONG}
|
||||
@@ -1732,7 +1720,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
{showIncompleteDataMessage &&
|
||||
isScrolledToBottom &&
|
||||
!loading &&
|
||||
!waitingMessage &&
|
||||
!errorMessage && (
|
||||
<div className="navigation-text-incomplete">
|
||||
Don't see the value? Use search
|
||||
@@ -1775,7 +1762,6 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
|
||||
isDarkMode,
|
||||
isDynamicVariable,
|
||||
showRetryButton,
|
||||
waitingMessage,
|
||||
]);
|
||||
|
||||
// Custom handler for dropdown visibility changes
|
||||
|
||||
@@ -63,7 +63,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
showIncompleteDataMessage = false,
|
||||
showRetryButton = true,
|
||||
isDynamicVariable = false,
|
||||
waitingMessage,
|
||||
...rest
|
||||
}) => {
|
||||
// ===== State & Refs =====
|
||||
@@ -569,7 +568,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
{!loading &&
|
||||
!errorMessage &&
|
||||
!noDataMessage &&
|
||||
!waitingMessage &&
|
||||
!(showIncompleteDataMessage && isScrolledToBottom) && (
|
||||
<section className="navigate">
|
||||
<ArrowDown size={8} className="icons" />
|
||||
@@ -585,16 +583,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
<div className="navigation-text">Refreshing values...</div>
|
||||
</div>
|
||||
)}
|
||||
{!loading && waitingMessage && (
|
||||
<div className="navigation-loading">
|
||||
<div className="navigation-icons">
|
||||
<LoadingOutlined />
|
||||
</div>
|
||||
<div className="navigation-text" title={waitingMessage}>
|
||||
{waitingMessage}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
{errorMessage && !loading && (
|
||||
<div className="navigation-error">
|
||||
<div className="navigation-text">
|
||||
@@ -617,7 +605,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
{showIncompleteDataMessage &&
|
||||
isScrolledToBottom &&
|
||||
!loading &&
|
||||
!waitingMessage &&
|
||||
!errorMessage && (
|
||||
<div className="navigation-text-incomplete">
|
||||
Don't see the value? Use search
|
||||
@@ -654,7 +641,6 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
|
||||
showRetryButton,
|
||||
isDarkMode,
|
||||
isDynamicVariable,
|
||||
waitingMessage,
|
||||
]);
|
||||
|
||||
// Handle dropdown visibility changes
|
||||
|
||||
@@ -30,7 +30,6 @@ export interface CustomSelectProps extends Omit<SelectProps, 'options'> {
|
||||
showIncompleteDataMessage?: boolean;
|
||||
showRetryButton?: boolean;
|
||||
isDynamicVariable?: boolean;
|
||||
waitingMessage?: string;
|
||||
}
|
||||
|
||||
export interface CustomTagProps {
|
||||
@@ -67,5 +66,4 @@ export interface CustomMultiSelectProps
|
||||
enableRegexOption?: boolean;
|
||||
isDynamicVariable?: boolean;
|
||||
showRetryButton?: boolean;
|
||||
waitingMessage?: string;
|
||||
}
|
||||
|
||||
@@ -1,61 +0,0 @@
|
||||
import { useCallback, useEffect, useRef, useState } from 'react';
|
||||
|
||||
const DEFAULT_COPIED_RESET_MS = 2000;
|
||||
|
||||
export interface UseCopyToClipboardOptions {
|
||||
/** How long (ms) to keep "copied" state before resetting. Default 2000. */
|
||||
copiedResetMs?: number;
|
||||
}
|
||||
|
||||
export type ID = number | string | null;
|
||||
|
||||
export interface UseCopyToClipboardReturn {
|
||||
/** Copy text to clipboard. Pass an optional id to track which item was copied (e.g. seriesIndex). */
|
||||
copyToClipboard: (text: string, id?: ID) => void;
|
||||
/** True when something was just copied and still within the reset threshold. */
|
||||
isCopied: boolean;
|
||||
/** The id passed to the last successful copy, or null after reset. Use to show "copied" state for a specific item (e.g. copiedId === item.seriesIndex). */
|
||||
id: ID;
|
||||
}
|
||||
|
||||
export function useCopyToClipboard(
|
||||
options: UseCopyToClipboardOptions = {},
|
||||
): UseCopyToClipboardReturn {
|
||||
const { copiedResetMs = DEFAULT_COPIED_RESET_MS } = options;
|
||||
const [state, setState] = useState<{ isCopied: boolean; id: ID }>({
|
||||
isCopied: false,
|
||||
id: null,
|
||||
});
|
||||
const timeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
return (): void => {
|
||||
if (timeoutRef.current) {
|
||||
clearTimeout(timeoutRef.current);
|
||||
timeoutRef.current = null;
|
||||
}
|
||||
};
|
||||
}, []);
|
||||
|
||||
const copyToClipboard = useCallback(
|
||||
(text: string, id?: ID): void => {
|
||||
navigator.clipboard.writeText(text).then(() => {
|
||||
if (timeoutRef.current) {
|
||||
clearTimeout(timeoutRef.current);
|
||||
}
|
||||
setState({ isCopied: true, id: id ?? null });
|
||||
timeoutRef.current = setTimeout(() => {
|
||||
setState({ isCopied: false, id: null });
|
||||
timeoutRef.current = null;
|
||||
}, copiedResetMs);
|
||||
});
|
||||
},
|
||||
[copiedResetMs],
|
||||
);
|
||||
|
||||
return {
|
||||
copyToClipboard,
|
||||
isCopied: state.isCopied,
|
||||
id: state.id,
|
||||
};
|
||||
}
|
||||
@@ -1,445 +0,0 @@
|
||||
import { IBuilderQuery, Query } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
|
||||
import {
|
||||
buildVariableReferencePattern,
|
||||
extractQueryTextStrings,
|
||||
getVariableReferencesInQuery,
|
||||
textContainsVariableReference,
|
||||
} from './variableReference';
|
||||
|
||||
describe('buildVariableReferencePattern', () => {
|
||||
const varName = 'deployment_environment';
|
||||
|
||||
it.each([
|
||||
['{{.deployment_environment}}', '{{.var}} syntax'],
|
||||
['{{ .deployment_environment }}', '{{.var}} with spaces'],
|
||||
['{{deployment_environment}}', '{{var}} syntax'],
|
||||
['{{ deployment_environment }}', '{{var}} with spaces'],
|
||||
['$deployment_environment', '$var syntax'],
|
||||
['[[deployment_environment]]', '[[var]] syntax'],
|
||||
['[[ deployment_environment ]]', '[[var]] with spaces'],
|
||||
])('matches %s (%s)', (text) => {
|
||||
expect(buildVariableReferencePattern(varName).test(text)).toBe(true);
|
||||
});
|
||||
|
||||
it('does not match partial variable names', () => {
|
||||
const pattern = buildVariableReferencePattern('env');
|
||||
// $env should match at word boundary, but $environment should not match $env
|
||||
expect(pattern.test('$environment')).toBe(false);
|
||||
});
|
||||
|
||||
it('matches $var at word boundary within larger text', () => {
|
||||
const pattern = buildVariableReferencePattern('env');
|
||||
expect(pattern.test('SELECT * WHERE x = $env')).toBe(true);
|
||||
expect(pattern.test('$env AND y = 1')).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('textContainsVariableReference', () => {
|
||||
describe('guard clauses', () => {
|
||||
it('returns false for empty text', () => {
|
||||
expect(textContainsVariableReference('', 'var')).toBe(false);
|
||||
});
|
||||
|
||||
it('returns false for empty variable name', () => {
|
||||
expect(textContainsVariableReference('some text', '')).toBe(false);
|
||||
});
|
||||
});
|
||||
|
||||
describe('all syntax formats', () => {
|
||||
const varName = 'service_name';
|
||||
|
||||
it('detects {{.var}} format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '{{.service_name}}'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects {{var}} format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '{{service_name}}'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects $var format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '$service_name'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
|
||||
it('detects [[var]] format', () => {
|
||||
const query = "SELECT * FROM table WHERE service = '[[service_name]]'";
|
||||
expect(textContainsVariableReference(query, varName)).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('embedded in larger text', () => {
|
||||
it('finds variable in a multi-line query', () => {
|
||||
const query = `SELECT JSONExtractString(labels, 'k8s_node_name') AS k8s_node_name
|
||||
FROM signoz_metrics.distributed_time_series_v4_1day
|
||||
WHERE metric_name = 'k8s_node_cpu_time' AND JSONExtractString(labels, 'k8s_cluster_name') = {{.k8s_cluster_name}}
|
||||
GROUP BY k8s_node_name`;
|
||||
expect(textContainsVariableReference(query, 'k8s_cluster_name')).toBe(true);
|
||||
expect(textContainsVariableReference(query, 'k8s_node_name')).toBe(false); // plain text, not a variable reference
|
||||
});
|
||||
});
|
||||
|
||||
describe('no false positives', () => {
|
||||
it('does not match substring of a longer variable name', () => {
|
||||
expect(
|
||||
textContainsVariableReference('$service_name_v2', 'service_name'),
|
||||
).toBe(false);
|
||||
});
|
||||
|
||||
it('does not match plain text that happens to contain the name', () => {
|
||||
expect(
|
||||
textContainsVariableReference(
|
||||
'the service_name column is important',
|
||||
'service_name',
|
||||
),
|
||||
).toBe(false);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
// ---- Query text extraction & variable reference detection ----
|
||||
|
||||
const baseQuery: Query = {
|
||||
id: 'test-query',
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
promql: [],
|
||||
builder: { queryData: [], queryFormulas: [], queryTraceOperator: [] },
|
||||
clickhouse_sql: [],
|
||||
};
|
||||
|
||||
describe('extractQueryTextStrings', () => {
|
||||
it('returns empty array for query builder with no data', () => {
|
||||
expect(extractQueryTextStrings(baseQuery)).toEqual([]);
|
||||
});
|
||||
|
||||
it('extracts string values from query builder filter items', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [
|
||||
{ id: '1', op: '=', value: ['$service_name', 'hardcoded'] },
|
||||
{ id: '2', op: '=', value: '$env' },
|
||||
],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const texts = extractQueryTextStrings(query);
|
||||
expect(texts).toEqual(['$service_name', 'hardcoded', '$env']);
|
||||
});
|
||||
|
||||
it('extracts filter expression from query builder', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: { items: [], op: 'AND' },
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const texts = extractQueryTextStrings(query);
|
||||
expect(texts).toEqual(['env = $deployment_environment']);
|
||||
});
|
||||
|
||||
it('skips non-string filter values', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: [42, true] }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([]);
|
||||
});
|
||||
|
||||
it('extracts promql query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{ name: 'A', query: 'up{env="$env"}', legend: '', disabled: false },
|
||||
{ name: 'B', query: 'cpu{ns="$namespace"}', legend: '', disabled: false },
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'up{env="$env"}',
|
||||
'cpu{ns="$namespace"}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('extracts clickhouse sql query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'SELECT * WHERE env = {{.env}}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'SELECT * WHERE env = {{.env}}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('accumulates texts across multiple queryData entries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$env' }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '2', op: '=', value: ['$service_name'] }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual(['$env', '$service_name']);
|
||||
});
|
||||
|
||||
it('collects both filter items and filter expression from the same queryData', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$service_name' }],
|
||||
op: 'AND',
|
||||
},
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'$service_name',
|
||||
'env = $deployment_environment',
|
||||
]);
|
||||
});
|
||||
|
||||
it('skips promql entries with empty query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{ name: 'A', query: '', legend: '', disabled: false },
|
||||
{ name: 'B', query: 'up{env="$env"}', legend: '', disabled: false },
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual(['up{env="$env"}']);
|
||||
});
|
||||
|
||||
it('skips clickhouse entries with empty query strings', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{ name: 'A', query: '', legend: '', disabled: false },
|
||||
{
|
||||
name: 'B',
|
||||
query: 'SELECT * WHERE x = {{.env}}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(extractQueryTextStrings(query)).toEqual([
|
||||
'SELECT * WHERE x = {{.env}}',
|
||||
]);
|
||||
});
|
||||
|
||||
it('returns empty array for unknown query type', () => {
|
||||
const query = {
|
||||
...baseQuery,
|
||||
queryType: ('unknown' as unknown) as EQueryType,
|
||||
};
|
||||
expect(extractQueryTextStrings(query)).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getVariableReferencesInQuery', () => {
|
||||
const variableNames = [
|
||||
'deployment_environment',
|
||||
'service_name',
|
||||
'endpoint',
|
||||
'unused_var',
|
||||
];
|
||||
|
||||
it('returns empty array when query has no text', () => {
|
||||
expect(getVariableReferencesInQuery(baseQuery, variableNames)).toEqual([]);
|
||||
});
|
||||
|
||||
it('detects variables referenced in query builder filters', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [
|
||||
{ id: '1', op: '=', value: '$service_name' },
|
||||
{ id: '2', op: 'IN', value: ['$deployment_environment'] },
|
||||
],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'service_name']);
|
||||
});
|
||||
|
||||
it('detects variables in promql queries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query:
|
||||
'http_requests{env="{{.deployment_environment}}", endpoint="$endpoint"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'endpoint']);
|
||||
});
|
||||
|
||||
it('detects variables in clickhouse sql queries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.CLICKHOUSE,
|
||||
clickhouse_sql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'SELECT * FROM table WHERE service = [[service_name]]',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['service_name']);
|
||||
});
|
||||
|
||||
it('detects variables spread across multiple queryData entries', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
builder: {
|
||||
queryData: [
|
||||
({
|
||||
filters: {
|
||||
items: [{ id: '1', op: '=', value: '$service_name' }],
|
||||
op: 'AND',
|
||||
},
|
||||
} as unknown) as IBuilderQuery,
|
||||
({
|
||||
filter: { expression: 'env = $deployment_environment' },
|
||||
} as unknown) as IBuilderQuery,
|
||||
],
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
},
|
||||
};
|
||||
|
||||
const result = getVariableReferencesInQuery(query, variableNames);
|
||||
expect(result).toEqual(['deployment_environment', 'service_name']);
|
||||
});
|
||||
|
||||
it('returns empty array when no variables are referenced', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'up{job="api"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(getVariableReferencesInQuery(query, variableNames)).toEqual([]);
|
||||
});
|
||||
|
||||
it('returns empty array when variableNames list is empty', () => {
|
||||
const query: Query = {
|
||||
...baseQuery,
|
||||
queryType: EQueryType.PROM,
|
||||
promql: [
|
||||
{
|
||||
name: 'A',
|
||||
query: 'up{env="$deployment_environment"}',
|
||||
legend: '',
|
||||
disabled: false,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
expect(getVariableReferencesInQuery(query, [])).toEqual([]);
|
||||
});
|
||||
});
|
||||
@@ -1,136 +0,0 @@
|
||||
import { isArray } from 'lodash-es';
|
||||
import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
|
||||
/**
|
||||
* Builds a RegExp that matches any recognized variable reference syntax:
|
||||
* {{.variableName}} — dot prefix, optional whitespace
|
||||
* {{variableName}} — no dot, optional whitespace
|
||||
* $variableName — dollar prefix, word-boundary terminated
|
||||
* [[variableName]] — square brackets, optional whitespace
|
||||
*/
|
||||
export function buildVariableReferencePattern(variableName: string): RegExp {
|
||||
const patterns = [
|
||||
`\\{\\{\\s*?\\.${variableName}\\s*?\\}\\}`,
|
||||
`\\{\\{\\s*${variableName}\\s*\\}\\}`,
|
||||
`\\$${variableName}\\b`,
|
||||
`\\[\\[\\s*${variableName}\\s*\\]\\]`,
|
||||
];
|
||||
return new RegExp(patterns.join('|'));
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns true if `text` contains a reference to `variableName` in any of the
|
||||
* recognized variable syntaxes.
|
||||
*/
|
||||
export function textContainsVariableReference(
|
||||
text: string,
|
||||
variableName: string,
|
||||
): boolean {
|
||||
if (!text || !variableName) {
|
||||
return false;
|
||||
}
|
||||
return buildVariableReferencePattern(variableName).test(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts all text strings from a widget Query that could contain variable
|
||||
* references. Covers:
|
||||
* - QUERY_BUILDER: filter items' string values + filter.expression
|
||||
* - PROM: each promql[].query
|
||||
* - CLICKHOUSE: each clickhouse_sql[].query
|
||||
*/
|
||||
function extractQueryBuilderTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
const queryDataList = query.builder?.queryData;
|
||||
if (isArray(queryDataList)) {
|
||||
queryDataList.forEach((queryData) => {
|
||||
// Collect string values from filter items
|
||||
queryData.filters?.items?.forEach((filter: TagFilterItem) => {
|
||||
if (isArray(filter.value)) {
|
||||
filter.value.forEach((v) => {
|
||||
if (typeof v === 'string') {
|
||||
texts.push(v);
|
||||
}
|
||||
});
|
||||
} else if (typeof filter.value === 'string') {
|
||||
texts.push(filter.value);
|
||||
}
|
||||
});
|
||||
|
||||
// Collect filter expression
|
||||
if (queryData.filter?.expression) {
|
||||
texts.push(queryData.filter.expression);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
function extractPromQLTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
if (isArray(query.promql)) {
|
||||
query.promql.forEach((promqlQuery) => {
|
||||
if (promqlQuery.query) {
|
||||
texts.push(promqlQuery.query);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
function extractClickhouseSQLTexts(query: Query): string[] {
|
||||
const texts: string[] = [];
|
||||
if (isArray(query.clickhouse_sql)) {
|
||||
query.clickhouse_sql.forEach((clickhouseQuery) => {
|
||||
if (clickhouseQuery.query) {
|
||||
texts.push(clickhouseQuery.query);
|
||||
}
|
||||
});
|
||||
}
|
||||
return texts;
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts all text strings from a widget Query that could contain variable
|
||||
* references. Covers:
|
||||
* - QUERY_BUILDER: filter items' string values + filter.expression
|
||||
* - PROM: each promql[].query
|
||||
* - CLICKHOUSE: each clickhouse_sql[].query
|
||||
*/
|
||||
export function extractQueryTextStrings(query: Query): string[] {
|
||||
if (query.queryType === EQueryType.QUERY_BUILDER) {
|
||||
return extractQueryBuilderTexts(query);
|
||||
}
|
||||
|
||||
if (query.queryType === EQueryType.PROM) {
|
||||
return extractPromQLTexts(query);
|
||||
}
|
||||
|
||||
if (query.queryType === EQueryType.CLICKHOUSE) {
|
||||
return extractClickhouseSQLTexts(query);
|
||||
}
|
||||
|
||||
return [];
|
||||
}
|
||||
|
||||
/**
|
||||
* Given a widget Query and an array of variable names, returns the subset of
|
||||
* variable names that are referenced in the query text.
|
||||
*
|
||||
* This performs text-based detection only. Structural checks (like
|
||||
* filter.key.key matching a variable attribute) are NOT included.
|
||||
*/
|
||||
export function getVariableReferencesInQuery(
|
||||
query: Query,
|
||||
variableNames: string[],
|
||||
): string[] {
|
||||
const texts = extractQueryTextStrings(query);
|
||||
if (texts.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
return variableNames.filter((name) =>
|
||||
texts.some((text) => textContainsVariableReference(text, name)),
|
||||
);
|
||||
}
|
||||
@@ -128,15 +128,6 @@
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.legend-item-label-trigger {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.legend-marker {
|
||||
border-width: 2px;
|
||||
border-radius: 50%;
|
||||
@@ -166,34 +157,10 @@
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
min-width: 0;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.legend-copy-button {
|
||||
display: none;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
flex-shrink: 0;
|
||||
padding: 2px;
|
||||
margin: 0;
|
||||
border: none;
|
||||
color: var(--bg-vanilla-400);
|
||||
cursor: pointer;
|
||||
border-radius: 4px;
|
||||
opacity: 1;
|
||||
transition: opacity 0.15s ease, color 0.15s ease;
|
||||
|
||||
&:hover {
|
||||
color: var(--bg-vanilla-100);
|
||||
}
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
.legend-copy-button {
|
||||
display: flex;
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -205,17 +172,4 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.legend-item {
|
||||
&:hover {
|
||||
background: rgba(0, 0, 0, 0.05);
|
||||
}
|
||||
.legend-copy-button {
|
||||
color: var(--bg-ink-400);
|
||||
|
||||
&:hover {
|
||||
color: var(--bg-ink-500);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,10 +2,8 @@ import { useCallback, useMemo, useRef, useState } from 'react';
|
||||
import { VirtuosoGrid } from 'react-virtuoso';
|
||||
import { Input, Tooltip as AntdTooltip } from 'antd';
|
||||
import cx from 'classnames';
|
||||
import { useCopyToClipboard } from 'hooks/useCopyToClipboard';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
import { Check, Copy } from 'lucide-react';
|
||||
|
||||
import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import { LegendPosition, LegendProps } from '../types';
|
||||
@@ -34,7 +32,6 @@ export default function Legend({
|
||||
});
|
||||
const legendContainerRef = useRef<HTMLDivElement | null>(null);
|
||||
const [legendSearchQuery, setLegendSearchQuery] = useState('');
|
||||
const { copyToClipboard, id: copiedId } = useCopyToClipboard();
|
||||
|
||||
const legendItems = useMemo(() => Object.values(legendItemsMap), [
|
||||
legendItemsMap,
|
||||
@@ -62,53 +59,26 @@ export default function Legend({
|
||||
);
|
||||
}, [position, legendSearchQuery, legendItems]);
|
||||
|
||||
const handleCopyLegendItem = useCallback(
|
||||
(e: React.MouseEvent, seriesIndex: number, label: string): void => {
|
||||
e.stopPropagation();
|
||||
copyToClipboard(label, seriesIndex);
|
||||
},
|
||||
[copyToClipboard],
|
||||
);
|
||||
|
||||
const renderLegendItem = useCallback(
|
||||
(item: LegendItem): JSX.Element => {
|
||||
const isCopied = copiedId === item.seriesIndex;
|
||||
return (
|
||||
(item: LegendItem): JSX.Element => (
|
||||
<AntdTooltip key={item.seriesIndex} title={item.label}>
|
||||
<div
|
||||
key={item.seriesIndex}
|
||||
data-legend-item-id={item.seriesIndex}
|
||||
className={cx('legend-item', `legend-item-${position.toLowerCase()}`, {
|
||||
'legend-item-off': !item.show,
|
||||
'legend-item-focused': focusedSeriesIndex === item.seriesIndex,
|
||||
})}
|
||||
>
|
||||
<AntdTooltip title={item.label}>
|
||||
<div className="legend-item-label-trigger">
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
</div>
|
||||
</AntdTooltip>
|
||||
<AntdTooltip title={isCopied ? 'Copied' : 'Copy'}>
|
||||
<button
|
||||
type="button"
|
||||
className="legend-copy-button"
|
||||
onClick={(e): void =>
|
||||
handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
|
||||
}
|
||||
aria-label={`Copy ${item.label}`}
|
||||
data-testid="legend-copy"
|
||||
>
|
||||
{isCopied ? <Check size={12} /> : <Copy size={12} />}
|
||||
</button>
|
||||
</AntdTooltip>
|
||||
<div
|
||||
className="legend-marker"
|
||||
style={{ borderColor: String(item.color) }}
|
||||
data-is-legend-marker={true}
|
||||
/>
|
||||
<span className="legend-label">{item.label}</span>
|
||||
</div>
|
||||
);
|
||||
},
|
||||
[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
|
||||
</AntdTooltip>
|
||||
),
|
||||
[focusedSeriesIndex, position],
|
||||
);
|
||||
|
||||
const isEmptyState = useMemo(() => {
|
||||
|
||||
@@ -1,11 +1,5 @@
|
||||
import React from 'react';
|
||||
import {
|
||||
fireEvent,
|
||||
render,
|
||||
RenderResult,
|
||||
screen,
|
||||
within,
|
||||
} from '@testing-library/react';
|
||||
import { render, RenderResult, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { LegendItem } from 'lib/uPlotV2/config/types';
|
||||
import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
|
||||
@@ -14,9 +8,6 @@ import { useLegendActions } from '../../hooks/useLegendActions';
|
||||
import Legend from '../Legend/Legend';
|
||||
import { LegendPosition } from '../types';
|
||||
|
||||
const mockWriteText = jest.fn().mockResolvedValue(undefined);
|
||||
let clipboardSpy: jest.SpyInstance | undefined;
|
||||
|
||||
jest.mock('react-virtuoso', () => ({
|
||||
VirtuosoGrid: ({
|
||||
data,
|
||||
@@ -48,15 +39,6 @@ const mockUseLegendActions = useLegendActions as jest.MockedFunction<
|
||||
>;
|
||||
|
||||
describe('Legend', () => {
|
||||
beforeAll(() => {
|
||||
// JSDOM does not define navigator.clipboard; add it so we can spy on writeText
|
||||
Object.defineProperty(navigator, 'clipboard', {
|
||||
value: { writeText: () => Promise.resolve() },
|
||||
writable: true,
|
||||
configurable: true,
|
||||
});
|
||||
});
|
||||
|
||||
const baseLegendItemsMap = {
|
||||
0: {
|
||||
seriesIndex: 0,
|
||||
@@ -88,11 +70,6 @@ describe('Legend', () => {
|
||||
onLegendMouseMove = jest.fn();
|
||||
onLegendMouseLeave = jest.fn();
|
||||
onFocusSeries = jest.fn();
|
||||
mockWriteText.mockClear();
|
||||
|
||||
clipboardSpy = jest
|
||||
.spyOn(navigator.clipboard, 'writeText')
|
||||
.mockImplementation(mockWriteText);
|
||||
|
||||
mockUseLegendsSync.mockReturnValue({
|
||||
legendItemsMap: baseLegendItemsMap,
|
||||
@@ -109,7 +86,6 @@ describe('Legend', () => {
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
clipboardSpy?.mockRestore();
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
@@ -234,47 +210,4 @@ describe('Legend', () => {
|
||||
expect(onLegendMouseLeave).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('copy action', () => {
|
||||
it('copies the legend label to clipboard when copy button is clicked', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const firstLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="0"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(firstLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(mockWriteText).toHaveBeenCalledTimes(1);
|
||||
expect(mockWriteText).toHaveBeenCalledWith('A');
|
||||
});
|
||||
|
||||
it('copies the correct label when copy is clicked on a different legend item', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const thirdLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="2"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(thirdLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(mockWriteText).toHaveBeenCalledTimes(1);
|
||||
expect(mockWriteText).toHaveBeenCalledWith('C');
|
||||
});
|
||||
|
||||
it('does not call onLegendClick when copy button is clicked', () => {
|
||||
renderLegend(LegendPosition.RIGHT);
|
||||
|
||||
const firstLegendItem = document.querySelector(
|
||||
'[data-legend-item-id="0"]',
|
||||
) as HTMLElement;
|
||||
const copyButton = within(firstLegendItem).getByTestId('legend-copy');
|
||||
|
||||
fireEvent.click(copyButton);
|
||||
|
||||
expect(onLegendClick).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -43,11 +43,11 @@ var (
|
||||
// FromUnit returns a converter for the given unit
|
||||
func FromUnit(u Unit) Converter {
|
||||
switch u {
|
||||
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min", "w", "wk":
|
||||
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min":
|
||||
return DurationConverter
|
||||
case "bytes", "decbytes", "bits", "bit", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy", "EBy", "ZBy", "YBy", "KiBy", "MiBy", "GiBy", "TiBy", "PiBy", "EiBy", "ZiBy", "YiBy", "kbit", "Mbit", "Gbit", "Tbit", "Pbit", "Ebit", "Zbit", "Ybit", "Kibit", "Mibit", "Gibit", "Tibit", "Pibit":
|
||||
case "bytes", "decbytes", "bits", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy":
|
||||
return DataConverter
|
||||
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "EBy/s", "ZBy/s", "YBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s", "Ebit/s", "Zbit/s", "Ybit/s", "KiBy/s", "MiBy/s", "GiBy/s", "TiBy/s", "PiBy/s", "EiBy/s", "ZiBy/s", "YiBy/s", "Kibit/s", "Mibit/s", "Gibit/s", "Tibit/s", "Pibit/s", "Eibit/s", "Zibit/s", "Yibit/s":
|
||||
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s":
|
||||
return DataRateConverter
|
||||
case "percent", "percentunit", "%":
|
||||
return PercentConverter
|
||||
|
||||
@@ -58,80 +58,36 @@ func (*dataConverter) Name() string {
|
||||
return "data"
|
||||
}
|
||||
|
||||
// Notation followed by UCUM:
|
||||
// https://ucum.org/ucum
|
||||
// kibi = Ki, mebi = Mi, gibi = Gi, tebi = Ti, pibi = Pi
|
||||
// kilo = k, mega = M, giga = G, tera = T, peta = P
|
||||
// exa = E, zetta = Z, yotta = Y
|
||||
// byte = By, bit = bit
|
||||
func FromDataUnit(u Unit) float64 {
|
||||
switch u {
|
||||
case "bytes", "By": // base 2
|
||||
return Byte
|
||||
case "decbytes": // base 10
|
||||
return Byte
|
||||
case "bits", "bit": // base 2
|
||||
case "bits": // base 2
|
||||
return Bit
|
||||
case "decbits": // base 10
|
||||
return Bit
|
||||
case "kbytes", "KiBy": // base 2
|
||||
case "kbytes", "kBy": // base 2
|
||||
return Kibibyte
|
||||
case "decKbytes", "deckbytes", "kBy": // base 10
|
||||
case "decKbytes", "deckbytes": // base 10
|
||||
return Kilobyte
|
||||
case "mbytes", "MiBy": // base 2
|
||||
case "mbytes", "MBy": // base 2
|
||||
return Mebibyte
|
||||
case "decMbytes", "decmbytes", "MBy": // base 10
|
||||
case "decMbytes", "decmbytes": // base 10
|
||||
return Megabyte
|
||||
case "gbytes", "GiBy": // base 2
|
||||
case "gbytes", "GBy": // base 2
|
||||
return Gibibyte
|
||||
case "decGbytes", "decgbytes", "GBy": // base 10
|
||||
case "decGbytes", "decgbytes": // base 10
|
||||
return Gigabyte
|
||||
case "tbytes", "TiBy": // base 2
|
||||
case "tbytes", "TBy": // base 2
|
||||
return Tebibyte
|
||||
case "decTbytes", "dectbytes", "TBy": // base 10
|
||||
case "decTbytes", "dectbytes": // base 10
|
||||
return Terabyte
|
||||
case "pbytes", "PiBy": // base 2
|
||||
case "pbytes", "PBy": // base 2
|
||||
return Pebibyte
|
||||
case "decPbytes", "decpbytes", "PBy": // base 10
|
||||
case "decPbytes", "decpbytes": // base 10
|
||||
return Petabyte
|
||||
case "EBy": // base 10
|
||||
return Exabyte
|
||||
case "ZBy": // base 10
|
||||
return Zettabyte
|
||||
case "YBy": // base 10
|
||||
return Yottabyte
|
||||
case "Kibit": // base 2
|
||||
return Kibibit
|
||||
case "Mibit": // base 2
|
||||
return Mebibit
|
||||
case "Gibit": // base 2
|
||||
return Gibibit
|
||||
case "Tibit": // base 2
|
||||
return Tebibit
|
||||
case "Pibit": // base 2
|
||||
return Pebibit
|
||||
case "EiBy": // base 2
|
||||
return Exbibyte
|
||||
case "ZiBy": // base 2
|
||||
return Zebibyte
|
||||
case "YiBy": // base 2
|
||||
return Yobibyte
|
||||
case "kbit": // base 10
|
||||
return Kilobit
|
||||
case "Mbit": // base 10
|
||||
return Megabit
|
||||
case "Gbit": // base 10
|
||||
return Gigabit
|
||||
case "Tbit": // base 10
|
||||
return Terabit
|
||||
case "Pbit": // base 10
|
||||
return Petabit
|
||||
case "Ebit": // base 10
|
||||
return Exabit
|
||||
case "Zbit": // base 10
|
||||
return Zettabit
|
||||
case "Ybit": // base 10
|
||||
return Yottabit
|
||||
default:
|
||||
return 1
|
||||
}
|
||||
|
||||
@@ -54,12 +54,6 @@ func (*dataRateConverter) Name() string {
|
||||
return "data_rate"
|
||||
}
|
||||
|
||||
// Notation followed by UCUM:
|
||||
// https://ucum.org/ucum
|
||||
// kibi = Ki, mebi = Mi, gibi = Gi, tebi = Ti, pibi = Pi
|
||||
// kilo = k, mega = M, giga = G, tera = T, peta = P
|
||||
// exa = E, zetta = Z, yotta = Y
|
||||
// byte = By, bit = bit
|
||||
func FromDataRateUnit(u Unit) float64 {
|
||||
// See https://github.com/SigNoz/signoz/blob/5a81f5f90b34845f5b4b3bdd46acf29d04bf3987/frontend/src/container/NewWidget/RightContainer/dataFormatCategories.ts#L62-L85
|
||||
switch u {
|
||||
@@ -71,70 +65,46 @@ func FromDataRateUnit(u Unit) float64 {
|
||||
return BitPerSecond
|
||||
case "bps", "bit/s": // bits/sec(SI)
|
||||
return BitPerSecond
|
||||
case "KiBs", "KiBy/s": // kibibytes/sec
|
||||
case "KiBs": // kibibytes/sec
|
||||
return KibibytePerSecond
|
||||
case "Kibits", "Kibit/s": // kibibits/sec
|
||||
case "Kibits": // kibibits/sec
|
||||
return KibibitPerSecond
|
||||
case "KBs", "kBy/s": // kilobytes/sec
|
||||
return KilobytePerSecond
|
||||
case "Kbits", "kbit/s": // kilobits/sec
|
||||
return KilobitPerSecond
|
||||
case "MiBs", "MiBy/s": // mebibytes/sec
|
||||
case "MiBs": // mebibytes/sec
|
||||
return MebibytePerSecond
|
||||
case "Mibits", "Mibit/s": // mebibits/sec
|
||||
case "Mibits": // mebibits/sec
|
||||
return MebibitPerSecond
|
||||
case "MBs", "MBy/s": // megabytes/sec
|
||||
return MegabytePerSecond
|
||||
case "Mbits", "Mbit/s": // megabits/sec
|
||||
return MegabitPerSecond
|
||||
case "GiBs", "GiBy/s": // gibibytes/sec
|
||||
case "GiBs": // gibibytes/sec
|
||||
return GibibytePerSecond
|
||||
case "Gibits", "Gibit/s": // gibibits/sec
|
||||
case "Gibits": // gibibits/sec
|
||||
return GibibitPerSecond
|
||||
case "GBs", "GBy/s": // gigabytes/sec
|
||||
return GigabytePerSecond
|
||||
case "Gbits", "Gbit/s": // gigabits/sec
|
||||
return GigabitPerSecond
|
||||
case "TiBs", "TiBy/s": // tebibytes/sec
|
||||
case "TiBs": // tebibytes/sec
|
||||
return TebibytePerSecond
|
||||
case "Tibits", "Tibit/s": // tebibits/sec
|
||||
case "Tibits": // tebibits/sec
|
||||
return TebibitPerSecond
|
||||
case "TBs", "TBy/s": // terabytes/sec
|
||||
return TerabytePerSecond
|
||||
case "Tbits", "Tbit/s": // terabits/sec
|
||||
return TerabitPerSecond
|
||||
case "PiBs", "PiBy/s": // pebibytes/sec
|
||||
case "PiBs": // pebibytes/sec
|
||||
return PebibytePerSecond
|
||||
case "Pibits", "Pibit/s": // pebibits/sec
|
||||
case "Pibits": // pebibits/sec
|
||||
return PebibitPerSecond
|
||||
case "PBs", "PBy/s": // petabytes/sec
|
||||
return PetabytePerSecond
|
||||
case "Pbits", "Pbit/s": // petabits/sec
|
||||
return PetabitPerSecond
|
||||
case "EBy/s": // exabytes/sec
|
||||
return ExabytePerSecond
|
||||
case "Ebit/s": // exabits/sec
|
||||
return ExabitPerSecond
|
||||
case "EiBy/s": // exbibytes/sec
|
||||
return ExbibytePerSecond
|
||||
case "Eibit/s": // exbibits/sec
|
||||
return ExbibitPerSecond
|
||||
case "ZBy/s": // zettabytes/sec
|
||||
return ZettabytePerSecond
|
||||
case "Zbit/s": // zettabits/sec
|
||||
return ZettabitPerSecond
|
||||
case "ZiBy/s": // zebibytes/sec
|
||||
return ZebibytePerSecond
|
||||
case "Zibit/s": // zebibits/sec
|
||||
return ZebibitPerSecond
|
||||
case "YBy/s": // yottabytes/sec
|
||||
return YottabytePerSecond
|
||||
case "Ybit/s": // yottabits/sec
|
||||
return YottabitPerSecond
|
||||
case "YiBy/s": // yobibytes/sec
|
||||
return YobibytePerSecond
|
||||
case "Yibit/s": // yobibits/sec
|
||||
return YobibitPerSecond
|
||||
default:
|
||||
return 1
|
||||
}
|
||||
|
||||
@@ -75,83 +75,3 @@ func TestDataRate(t *testing.T) {
|
||||
// 1024 * 1024 * 1024 bytes = 1 gbytes
|
||||
assert.Equal(t, Value{F: 1, U: "GiBs"}, dataRateConverter.Convert(Value{F: 1024 * 1024 * 1024, U: "binBps"}, "GiBs"))
|
||||
}
|
||||
|
||||
func TestDataRateConversionUCUMUnit(t *testing.T) {
|
||||
dataRateConverter := NewDataRateConverter()
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
input Value
|
||||
toUnit Unit
|
||||
expected Value
|
||||
}{
|
||||
// Binary byte scaling
|
||||
{name: "Binary byte scaling: 1024 By/s = 1 KiBy/s", input: Value{F: 1024, U: "By/s"}, toUnit: "KiBy/s", expected: Value{F: 1, U: "KiBy/s"}},
|
||||
{name: "Kibibyte to bytes: 1 KiBy/s = 1024 By/s", input: Value{F: 1, U: "KiBy/s"}, toUnit: "By/s", expected: Value{F: 1024, U: "By/s"}},
|
||||
{name: "Binary byte scaling: 1024 KiBy/s = 1 MiBy/s", input: Value{F: 1024, U: "KiBy/s"}, toUnit: "MiBy/s", expected: Value{F: 1, U: "MiBy/s"}},
|
||||
{name: "Gibibyte to bytes: 1 GiBy/s = 1073741824 By/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "By/s", expected: Value{F: 1024 * 1024 * 1024, U: "By/s"}},
|
||||
{name: "Binary byte scaling: 1024 MiBy/s = 1 GiBy/s", input: Value{F: 1024, U: "MiBy/s"}, toUnit: "GiBy/s", expected: Value{F: 1, U: "GiBy/s"}},
|
||||
{name: "Gibibyte to mebibyte: 1 GiBy/s = 1024 MiBy/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "MiBy/s", expected: Value{F: 1024, U: "MiBy/s"}},
|
||||
{name: "Binary byte scaling: 1024 GiBy/s = 1 TiBy/s", input: Value{F: 1024, U: "GiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1, U: "TiBy/s"}},
|
||||
{name: "Tebibyte to bytes: 1 TiBy/s = 1099511627776 By/s", input: Value{F: 1, U: "TiBy/s"}, toUnit: "By/s", expected: Value{F: 1024 * 1024 * 1024 * 1024, U: "By/s"}},
|
||||
{name: "Binary byte scaling: 1024 TiBy/s = 1 PiBy/s", input: Value{F: 1024, U: "TiBy/s"}, toUnit: "PiBy/s", expected: Value{F: 1, U: "PiBy/s"}},
|
||||
{name: "Pebibyte to tebibyte: 1 PiBy/s = 1024 TiBy/s", input: Value{F: 1, U: "PiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1024, U: "TiBy/s"}},
|
||||
// Binary bit scaling
|
||||
{name: "Binary bit scaling: 1024 bit/s = 1 Kibit/s", input: Value{F: 1024, U: "bit/s"}, toUnit: "Kibit/s", expected: Value{F: 1, U: "Kibit/s"}},
|
||||
{name: "Kibibit to bits: 1 Kibit/s = 1024 bit/s", input: Value{F: 1, U: "Kibit/s"}, toUnit: "bit/s", expected: Value{F: 1024, U: "bit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Kibit/s = 1 Mibit/s", input: Value{F: 1024, U: "Kibit/s"}, toUnit: "Mibit/s", expected: Value{F: 1, U: "Mibit/s"}},
|
||||
{name: "Gibibit to bits: 1 Gibit/s = 1073741824 bit/s", input: Value{F: 1, U: "Gibit/s"}, toUnit: "bit/s", expected: Value{F: 1024 * 1024 * 1024, U: "bit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Mibit/s = 1 Gibit/s", input: Value{F: 1024, U: "Mibit/s"}, toUnit: "Gibit/s", expected: Value{F: 1, U: "Gibit/s"}},
|
||||
{name: "Gibibit to mebibit: 1 Gibit/s = 1024 Mibit/s", input: Value{F: 1, U: "Gibit/s"}, toUnit: "Mibit/s", expected: Value{F: 1024, U: "Mibit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Gibit/s = 1 Tibit/s", input: Value{F: 1024, U: "Gibit/s"}, toUnit: "Tibit/s", expected: Value{F: 1, U: "Tibit/s"}},
|
||||
{name: "Tebibit to gibibit: 1 Tibit/s = 1024 Gibit/s", input: Value{F: 1, U: "Tibit/s"}, toUnit: "Gibit/s", expected: Value{F: 1024, U: "Gibit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Tibit/s = 1 Pibit/s", input: Value{F: 1024, U: "Tibit/s"}, toUnit: "Pibit/s", expected: Value{F: 1, U: "Pibit/s"}},
|
||||
{name: "Pebibit to tebibit: 1 Pibit/s = 1024 Tibit/s", input: Value{F: 1, U: "Pibit/s"}, toUnit: "Tibit/s", expected: Value{F: 1024, U: "Tibit/s"}},
|
||||
// Bytes to bits
|
||||
{name: "Bytes to bits: 1 KiBy/s = 8 Kibit/s", input: Value{F: 1, U: "KiBy/s"}, toUnit: "Kibit/s", expected: Value{F: 8, U: "Kibit/s"}},
|
||||
{name: "Bytes to bits: 1 MiBy/s = 8 Mibit/s", input: Value{F: 1, U: "MiBy/s"}, toUnit: "Mibit/s", expected: Value{F: 8, U: "Mibit/s"}},
|
||||
{name: "Bytes to bits: 1 GiBy/s = 8 Gibit/s", input: Value{F: 1, U: "GiBy/s"}, toUnit: "Gibit/s", expected: Value{F: 8, U: "Gibit/s"}},
|
||||
// Unit alias
|
||||
{name: "Unit alias: 1 KiBs = 1 KiBy/s", input: Value{F: 1, U: "KiBs"}, toUnit: "KiBy/s", expected: Value{F: 1, U: "KiBy/s"}},
|
||||
{name: "Unit alias: 1 Kibits = 1 Kibit/s", input: Value{F: 1, U: "Kibits"}, toUnit: "Kibit/s", expected: Value{F: 1, U: "Kibit/s"}},
|
||||
// SI byte scaling (Exa, Zetta, Yotta)
|
||||
{name: "SI byte scaling: 1000 PBy/s = 1 EBy/s", input: Value{F: 1000, U: "PBy/s"}, toUnit: "EBy/s", expected: Value{F: 1, U: "EBy/s"}},
|
||||
{name: "Exabyte to bytes: 1 EBy/s = 1e18 By/s", input: Value{F: 1, U: "EBy/s"}, toUnit: "By/s", expected: Value{F: 1e18, U: "By/s"}},
|
||||
{name: "SI byte scaling: 1000 EBy/s = 1 ZBy/s", input: Value{F: 1000, U: "EBy/s"}, toUnit: "ZBy/s", expected: Value{F: 1, U: "ZBy/s"}},
|
||||
{name: "Zettabyte to petabytes: 1 ZBy/s = 1000000 PBy/s", input: Value{F: 1, U: "ZBy/s"}, toUnit: "PBy/s", expected: Value{F: 1e6, U: "PBy/s"}},
|
||||
{name: "SI byte scaling: 1000 ZBy/s = 1 YBy/s", input: Value{F: 1000, U: "ZBy/s"}, toUnit: "YBy/s", expected: Value{F: 1, U: "YBy/s"}},
|
||||
{name: "Yottabyte to zettabyte: 1 YBy/s = 1000 ZBy/s", input: Value{F: 1, U: "YBy/s"}, toUnit: "ZBy/s", expected: Value{F: 1000, U: "ZBy/s"}},
|
||||
// Binary byte scaling (Exbi, Zebi, Yobi)
|
||||
{name: "Binary byte scaling: 1024 PiBy/s = 1 EiBy/s", input: Value{F: 1024, U: "PiBy/s"}, toUnit: "EiBy/s", expected: Value{F: 1, U: "EiBy/s"}},
|
||||
{name: "Exbibyte to tebibytes: 1 EiBy/s = 1048576 TiBy/s", input: Value{F: 1, U: "EiBy/s"}, toUnit: "TiBy/s", expected: Value{F: 1024 * 1024, U: "TiBy/s"}},
|
||||
{name: "Binary byte scaling: 1024 EiBy/s = 1 ZiBy/s", input: Value{F: 1024, U: "EiBy/s"}, toUnit: "ZiBy/s", expected: Value{F: 1, U: "ZiBy/s"}},
|
||||
{name: "Zebibyte to exbibyte: 1 ZiBy/s = 1024 EiBy/s", input: Value{F: 1, U: "ZiBy/s"}, toUnit: "EiBy/s", expected: Value{F: 1024, U: "EiBy/s"}},
|
||||
{name: "Binary byte scaling: 1024 ZiBy/s = 1 YiBy/s", input: Value{F: 1024, U: "ZiBy/s"}, toUnit: "YiBy/s", expected: Value{F: 1, U: "YiBy/s"}},
|
||||
{name: "Yobibyte to zebibyte: 1 YiBy/s = 1024 ZiBy/s", input: Value{F: 1, U: "YiBy/s"}, toUnit: "ZiBy/s", expected: Value{F: 1024, U: "ZiBy/s"}},
|
||||
// SI bit scaling (Exa, Zetta, Yotta)
|
||||
{name: "SI bit scaling: 1000 Pbit/s = 1 Ebit/s", input: Value{F: 1000, U: "Pbit/s"}, toUnit: "Ebit/s", expected: Value{F: 1, U: "Ebit/s"}},
|
||||
{name: "Exabit to gigabits: 1 Ebit/s = 1e9 Gbit/s", input: Value{F: 1, U: "Ebit/s"}, toUnit: "Gbit/s", expected: Value{F: 1e9, U: "Gbit/s"}},
|
||||
{name: "SI bit scaling: 1000 Ebit/s = 1 Zbit/s", input: Value{F: 1000, U: "Ebit/s"}, toUnit: "Zbit/s", expected: Value{F: 1, U: "Zbit/s"}},
|
||||
{name: "Zettabit to exabit: 1 Zbit/s = 1000 Ebit/s", input: Value{F: 1, U: "Zbit/s"}, toUnit: "Ebit/s", expected: Value{F: 1000, U: "Ebit/s"}},
|
||||
{name: "SI bit scaling: 1000 Zbit/s = 1 Ybit/s", input: Value{F: 1000, U: "Zbit/s"}, toUnit: "Ybit/s", expected: Value{F: 1, U: "Ybit/s"}},
|
||||
{name: "Yottabit to zettabit: 1 Ybit/s = 1000 Zbit/s", input: Value{F: 1, U: "Ybit/s"}, toUnit: "Zbit/s", expected: Value{F: 1000, U: "Zbit/s"}},
|
||||
// Binary bit scaling (Exbi, Zebi, Yobi)
|
||||
{name: "Binary bit scaling: 1024 Pibit/s = 1 Eibit/s", input: Value{F: 1024, U: "Pibit/s"}, toUnit: "Eibit/s", expected: Value{F: 1, U: "Eibit/s"}},
|
||||
{name: "Exbibit to pebibit: 1 Eibit/s = 1024 Pibit/s", input: Value{F: 1, U: "Eibit/s"}, toUnit: "Pibit/s", expected: Value{F: 1024, U: "Pibit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Eibit/s = 1 Zibit/s", input: Value{F: 1024, U: "Eibit/s"}, toUnit: "Zibit/s", expected: Value{F: 1, U: "Zibit/s"}},
|
||||
{name: "Zebibit to exbibit: 1 Zibit/s = 1024 Eibit/s", input: Value{F: 1, U: "Zibit/s"}, toUnit: "Eibit/s", expected: Value{F: 1024, U: "Eibit/s"}},
|
||||
{name: "Binary bit scaling: 1024 Zibit/s = 1 Yibit/s", input: Value{F: 1024, U: "Zibit/s"}, toUnit: "Yibit/s", expected: Value{F: 1, U: "Yibit/s"}},
|
||||
{name: "Yobibit to zebibit: 1 Yibit/s = 1024 Zibit/s", input: Value{F: 1, U: "Yibit/s"}, toUnit: "Zibit/s", expected: Value{F: 1024, U: "Zibit/s"}},
|
||||
// Bytes to bits (Exbi, Zebi, Yobi)
|
||||
{name: "Bytes to bits: 1 EiBy/s = 8 Eibit/s", input: Value{F: 1, U: "EiBy/s"}, toUnit: "Eibit/s", expected: Value{F: 8, U: "Eibit/s"}},
|
||||
{name: "Bytes to bits: 1 ZiBy/s = 8 Zibit/s", input: Value{F: 1, U: "ZiBy/s"}, toUnit: "Zibit/s", expected: Value{F: 8, U: "Zibit/s"}},
|
||||
{name: "Bytes to bits: 1 YiBy/s = 8 Yibit/s", input: Value{F: 1, U: "YiBy/s"}, toUnit: "Yibit/s", expected: Value{F: 8, U: "Yibit/s"}},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
got := dataRateConverter.Convert(tt.input, tt.toUnit)
|
||||
assert.Equal(t, tt.expected, got)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -13,7 +13,7 @@ func TestData(t *testing.T) {
|
||||
assert.Equal(t, Value{F: 1, U: "By"}, dataConverter.Convert(Value{F: 8, U: "bits"}, "By"))
|
||||
// 1024 bytes = 1 kbytes
|
||||
assert.Equal(t, Value{F: 1, U: "kbytes"}, dataConverter.Convert(Value{F: 1024, U: "bytes"}, "kbytes"))
|
||||
assert.Equal(t, Value{F: 1, U: "kBy"}, dataConverter.Convert(Value{F: 1000, U: "bytes"}, "kBy"))
|
||||
assert.Equal(t, Value{F: 1, U: "kBy"}, dataConverter.Convert(Value{F: 1024, U: "bytes"}, "kBy"))
|
||||
// 1 byte = 8 bits
|
||||
assert.Equal(t, Value{F: 8, U: "bits"}, dataConverter.Convert(Value{F: 1, U: "bytes"}, "bits"))
|
||||
// 1 mbytes = 1024 kbytes
|
||||
@@ -22,7 +22,7 @@ func TestData(t *testing.T) {
|
||||
assert.Equal(t, Value{F: 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "kbytes"}, "bytes"))
|
||||
// 1024 kbytes = 1 mbytes
|
||||
assert.Equal(t, Value{F: 1, U: "mbytes"}, dataConverter.Convert(Value{F: 1024, U: "kbytes"}, "mbytes"))
|
||||
assert.Equal(t, Value{F: 1, U: "MBy"}, dataConverter.Convert(Value{F: 1000, U: "kBy"}, "MBy"))
|
||||
assert.Equal(t, Value{F: 1, U: "MBy"}, dataConverter.Convert(Value{F: 1024, U: "kbytes"}, "MBy"))
|
||||
// 1 mbytes = 1024 * 1024 bytes
|
||||
assert.Equal(t, Value{F: 1024 * 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "mbytes"}, "bytes"))
|
||||
// 1024 mbytes = 1 gbytes
|
||||
@@ -45,90 +45,10 @@ func TestData(t *testing.T) {
|
||||
assert.Equal(t, Value{F: 1024 * 1024 * 1024 * 1024, U: "bytes"}, dataConverter.Convert(Value{F: 1, U: "tbytes"}, "bytes"))
|
||||
// 1024 tbytes = 1 pbytes
|
||||
assert.Equal(t, Value{F: 1, U: "pbytes"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "pbytes"))
|
||||
// 1024 tbytes = 1 PiBy
|
||||
assert.Equal(t, Value{F: 1, U: "PiBy"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "PiBy"))
|
||||
// 1024 tbytes = 1 pbytes
|
||||
assert.Equal(t, Value{F: 1, U: "PBy"}, dataConverter.Convert(Value{F: 1024, U: "tbytes"}, "PBy"))
|
||||
// 1 pbytes = 1024 tbytes
|
||||
assert.Equal(t, Value{F: 1024, U: "tbytes"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "tbytes"))
|
||||
// 1024 TiBy = 1 pbytes
|
||||
assert.Equal(t, Value{F: 1024, U: "TiBy"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "TiBy"))
|
||||
}
|
||||
|
||||
func TestDataConversionUCUMUnit(t *testing.T) {
|
||||
dataConverter := NewDataConverter()
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
input Value
|
||||
toUnit Unit
|
||||
expected Value
|
||||
}{
|
||||
// Bits to bytes
|
||||
{name: "Bits to bytes: 8 bit = 1 By", input: Value{F: 8, U: "bit"}, toUnit: "By", expected: Value{F: 1, U: "By"}},
|
||||
{name: "Byte to bits: 1 By = 8 bit", input: Value{F: 1, U: "By"}, toUnit: "bit", expected: Value{F: 8, U: "bit"}},
|
||||
// Binary byte scaling
|
||||
{name: "Binary byte scaling: 1024 By = 1 KiBy", input: Value{F: 1024, U: "By"}, toUnit: "KiBy", expected: Value{F: 1, U: "KiBy"}},
|
||||
{name: "Kibibyte to bytes: 1 KiBy = 1024 By", input: Value{F: 1, U: "KiBy"}, toUnit: "By", expected: Value{F: 1024, U: "By"}},
|
||||
{name: "Binary byte scaling: 1024 KiBy = 1 MiBy", input: Value{F: 1024, U: "KiBy"}, toUnit: "MiBy", expected: Value{F: 1, U: "MiBy"}},
|
||||
{name: "Binary byte scaling: 1024 MiBy = 1 GiBy", input: Value{F: 1024, U: "MiBy"}, toUnit: "GiBy", expected: Value{F: 1, U: "GiBy"}},
|
||||
{name: "Gibibyte to mebibyte: 1 GiBy = 1024 MiBy", input: Value{F: 1, U: "GiBy"}, toUnit: "MiBy", expected: Value{F: 1024, U: "MiBy"}},
|
||||
{name: "Binary byte scaling: 1024 GiBy = 1 TiBy", input: Value{F: 1024, U: "GiBy"}, toUnit: "TiBy", expected: Value{F: 1, U: "TiBy"}},
|
||||
{name: "Binary byte scaling: 1024 TiBy = 1 PiBy", input: Value{F: 1024, U: "TiBy"}, toUnit: "PiBy", expected: Value{F: 1, U: "PiBy"}},
|
||||
{name: "Pebibyte to tebibyte: 1 PiBy = 1024 TiBy", input: Value{F: 1, U: "PiBy"}, toUnit: "TiBy", expected: Value{F: 1024, U: "TiBy"}},
|
||||
{name: "Gibibyte to bytes: 1 GiBy = 1073741824 By", input: Value{F: 1, U: "GiBy"}, toUnit: "By", expected: Value{F: 1024 * 1024 * 1024, U: "By"}},
|
||||
{name: "Tebibyte to bytes: 1 TiBy = 1099511627776 By", input: Value{F: 1, U: "TiBy"}, toUnit: "By", expected: Value{F: 1024 * 1024 * 1024 * 1024, U: "By"}},
|
||||
// SI bit scaling
|
||||
{name: "SI bit scaling: 1000 bit = 1 kbit", input: Value{F: 1000, U: "bit"}, toUnit: "kbit", expected: Value{F: 1, U: "kbit"}},
|
||||
{name: "Kilobit to bits: 1 kbit = 1000 bit", input: Value{F: 1, U: "kbit"}, toUnit: "bit", expected: Value{F: 1000, U: "bit"}},
|
||||
{name: "SI bit scaling: 1000 kbit = 1 Mbit", input: Value{F: 1000, U: "kbit"}, toUnit: "Mbit", expected: Value{F: 1, U: "Mbit"}},
|
||||
{name: "Gigabit to bits: 1 Gbit = 1000000000 bit", input: Value{F: 1, U: "Gbit"}, toUnit: "bit", expected: Value{F: 1000 * 1000 * 1000, U: "bit"}},
|
||||
{name: "SI bit scaling: 1000 Mbit = 1 Gbit", input: Value{F: 1000, U: "Mbit"}, toUnit: "Gbit", expected: Value{F: 1, U: "Gbit"}},
|
||||
{name: "Gigabit to megabit: 1 Gbit = 1000 Mbit", input: Value{F: 1, U: "Gbit"}, toUnit: "Mbit", expected: Value{F: 1000, U: "Mbit"}},
|
||||
{name: "SI bit scaling: 1000 Gbit = 1 Tbit", input: Value{F: 1000, U: "Gbit"}, toUnit: "Tbit", expected: Value{F: 1, U: "Tbit"}},
|
||||
{name: "Terabit to gigabit: 1 Tbit = 1000 Gbit", input: Value{F: 1, U: "Tbit"}, toUnit: "Gbit", expected: Value{F: 1000, U: "Gbit"}},
|
||||
{name: "SI bit scaling: 1000 Tbit = 1 Pbit", input: Value{F: 1000, U: "Tbit"}, toUnit: "Pbit", expected: Value{F: 1, U: "Pbit"}},
|
||||
{name: "Petabit to terabit: 1 Pbit = 1000 Tbit", input: Value{F: 1, U: "Pbit"}, toUnit: "Tbit", expected: Value{F: 1000, U: "Tbit"}},
|
||||
// Binary bit scaling
|
||||
{name: "Binary bit scaling: 1024 bit = 1 Kibit", input: Value{F: 1024, U: "bit"}, toUnit: "Kibit", expected: Value{F: 1, U: "Kibit"}},
|
||||
{name: "Kibibit to bits: 1 Kibit = 1024 bit", input: Value{F: 1, U: "Kibit"}, toUnit: "bit", expected: Value{F: 1024, U: "bit"}},
|
||||
{name: "Binary bit scaling: 1024 Kibit = 1 Mibit", input: Value{F: 1024, U: "Kibit"}, toUnit: "Mibit", expected: Value{F: 1, U: "Mibit"}},
|
||||
{name: "Mebibit to kibibit: 1 Mibit = 1024 Kibit", input: Value{F: 1, U: "Mibit"}, toUnit: "Kibit", expected: Value{F: 1024, U: "Kibit"}},
|
||||
{name: "Binary bit scaling: 1024 Mibit = 1 Gibit", input: Value{F: 1024, U: "Mibit"}, toUnit: "Gibit", expected: Value{F: 1, U: "Gibit"}},
|
||||
{name: "Gibibit to mebibit: 1 Gibit = 1024 Mibit", input: Value{F: 1, U: "Gibit"}, toUnit: "Mibit", expected: Value{F: 1024, U: "Mibit"}},
|
||||
{name: "Binary bit scaling: 1024 Gibit = 1 Tibit", input: Value{F: 1024, U: "Gibit"}, toUnit: "Tibit", expected: Value{F: 1, U: "Tibit"}},
|
||||
{name: "Tebibit to gibibit: 1 Tibit = 1024 Gibit", input: Value{F: 1, U: "Tibit"}, toUnit: "Gibit", expected: Value{F: 1024, U: "Gibit"}},
|
||||
{name: "Binary bit scaling: 1024 Tibit = 1 Pibit", input: Value{F: 1024, U: "Tibit"}, toUnit: "Pibit", expected: Value{F: 1, U: "Pibit"}},
|
||||
{name: "Pebibit to tebibit: 1 Pibit = 1024 Tibit", input: Value{F: 1, U: "Pibit"}, toUnit: "Tibit", expected: Value{F: 1024, U: "Tibit"}},
|
||||
// Bytes to bits
|
||||
{name: "Bytes to bits: 1 KiBy = 8 Kibit", input: Value{F: 1, U: "KiBy"}, toUnit: "Kibit", expected: Value{F: 8, U: "Kibit"}},
|
||||
{name: "Bytes to bits: 1 MiBy = 8 Mibit", input: Value{F: 1, U: "MiBy"}, toUnit: "Mibit", expected: Value{F: 8, U: "Mibit"}},
|
||||
{name: "Bytes to bits: 1 GiBy = 8 Gibit", input: Value{F: 1, U: "GiBy"}, toUnit: "Gibit", expected: Value{F: 8, U: "Gibit"}},
|
||||
// SI byte scaling (Exa, Zetta, Yotta)
|
||||
{name: "SI byte scaling: 1000 PBy = 1 EBy", input: Value{F: 1000, U: "PBy"}, toUnit: "EBy", expected: Value{F: 1, U: "EBy"}},
|
||||
{name: "Exabyte to bytes: 1 EBy = 1e18 By", input: Value{F: 1, U: "EBy"}, toUnit: "By", expected: Value{F: 1e18, U: "By"}},
|
||||
{name: "SI byte scaling: 1000 EBy = 1 ZBy", input: Value{F: 1000, U: "EBy"}, toUnit: "ZBy", expected: Value{F: 1, U: "ZBy"}},
|
||||
{name: "Zettabyte to petabytes: 1 ZBy = 1000000 PBy", input: Value{F: 1, U: "ZBy"}, toUnit: "PBy", expected: Value{F: 1e6, U: "PBy"}},
|
||||
{name: "SI byte scaling: 1000 ZBy = 1 YBy", input: Value{F: 1000, U: "ZBy"}, toUnit: "YBy", expected: Value{F: 1, U: "YBy"}},
|
||||
{name: "Yottabyte to zettabyte: 1 YBy = 1000 ZBy", input: Value{F: 1, U: "YBy"}, toUnit: "ZBy", expected: Value{F: 1000, U: "ZBy"}},
|
||||
// Binary byte scaling (Exbi, Zebi, Yobi)
|
||||
{name: "Binary byte scaling: 1024 PiBy = 1 EiBy", input: Value{F: 1024, U: "PiBy"}, toUnit: "EiBy", expected: Value{F: 1, U: "EiBy"}},
|
||||
{name: "Exbibyte to tebibytes: 1 EiBy = 1048576 TiBy", input: Value{F: 1, U: "EiBy"}, toUnit: "TiBy", expected: Value{F: 1024 * 1024, U: "TiBy"}},
|
||||
{name: "Binary byte scaling: 1024 EiBy = 1 ZiBy", input: Value{F: 1024, U: "EiBy"}, toUnit: "ZiBy", expected: Value{F: 1, U: "ZiBy"}},
|
||||
{name: "Zebibyte to exbibyte: 1 ZiBy = 1024 EiBy", input: Value{F: 1, U: "ZiBy"}, toUnit: "EiBy", expected: Value{F: 1024, U: "EiBy"}},
|
||||
{name: "Binary byte scaling: 1024 ZiBy = 1 YiBy", input: Value{F: 1024, U: "ZiBy"}, toUnit: "YiBy", expected: Value{F: 1, U: "YiBy"}},
|
||||
{name: "Yobibyte to zebibyte: 1 YiBy = 1024 ZiBy", input: Value{F: 1, U: "YiBy"}, toUnit: "ZiBy", expected: Value{F: 1024, U: "ZiBy"}},
|
||||
// SI bit scaling (Exa, Zetta, Yotta)
|
||||
{name: "SI bit scaling: 1000 Pbit = 1 Ebit", input: Value{F: 1000, U: "Pbit"}, toUnit: "Ebit", expected: Value{F: 1, U: "Ebit"}},
|
||||
{name: "Exabit to gigabits: 1 Ebit = 1e9 Gbit", input: Value{F: 1, U: "Ebit"}, toUnit: "Gbit", expected: Value{F: 1e9, U: "Gbit"}},
|
||||
{name: "SI bit scaling: 1000 Ebit = 1 Zbit", input: Value{F: 1000, U: "Ebit"}, toUnit: "Zbit", expected: Value{F: 1, U: "Zbit"}},
|
||||
{name: "Zettabit to exabit: 1 Zbit = 1000 Ebit", input: Value{F: 1, U: "Zbit"}, toUnit: "Ebit", expected: Value{F: 1000, U: "Ebit"}},
|
||||
{name: "SI bit scaling: 1000 Zbit = 1 Ybit", input: Value{F: 1000, U: "Zbit"}, toUnit: "Ybit", expected: Value{F: 1, U: "Ybit"}},
|
||||
{name: "Yottabit to zettabit: 1 Ybit = 1000 Zbit", input: Value{F: 1, U: "Ybit"}, toUnit: "Zbit", expected: Value{F: 1000, U: "Zbit"}},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
got := dataConverter.Convert(tt.input, tt.toUnit)
|
||||
assert.Equal(t, tt.expected, got)
|
||||
})
|
||||
}
|
||||
// 1024 pbytes = 1 tbytes
|
||||
assert.Equal(t, Value{F: 1024, U: "TBy"}, dataConverter.Convert(Value{F: 1, U: "pbytes"}, "TBy"))
|
||||
}
|
||||
|
||||
@@ -47,7 +47,7 @@ func FromTimeUnit(u Unit) Duration {
|
||||
return Hour
|
||||
case "d":
|
||||
return Day
|
||||
case "w", "wk":
|
||||
case "w":
|
||||
return Week
|
||||
default:
|
||||
return Second
|
||||
|
||||
@@ -54,13 +54,4 @@ func TestDurationConvert(t *testing.T) {
|
||||
assert.Equal(t, Value{F: 1, U: "ms"}, timeConverter.Convert(Value{F: 1000, U: "us"}, "ms"))
|
||||
// 1000000000 ns = 1 s
|
||||
assert.Equal(t, Value{F: 1, U: "s"}, timeConverter.Convert(Value{F: 1000000000, U: "ns"}, "s"))
|
||||
|
||||
// 7 d = 1 wk
|
||||
assert.Equal(t, Value{F: 1, U: "wk"}, timeConverter.Convert(Value{F: 7, U: "d"}, "wk"))
|
||||
// 1 wk = 7 d
|
||||
assert.Equal(t, Value{F: 7, U: "d"}, timeConverter.Convert(Value{F: 1, U: "wk"}, "d"))
|
||||
// 1 wk = 168 h
|
||||
assert.Equal(t, Value{F: 168, U: "h"}, timeConverter.Convert(Value{F: 1, U: "wk"}, "h"))
|
||||
// 604800 s = 1 wk
|
||||
assert.Equal(t, Value{F: 1, U: "wk"}, timeConverter.Convert(Value{F: 604800, U: "s"}, "wk"))
|
||||
}
|
||||
|
||||
@@ -24,30 +24,30 @@ func (f *dataFormatter) Format(value float64, unit string) string {
|
||||
return humanize.IBytes(uint64(value))
|
||||
case "decbytes":
|
||||
return humanize.Bytes(uint64(value))
|
||||
case "kbytes", "KiBy", "Kibit":
|
||||
case "bits":
|
||||
return humanize.IBytes(uint64(value * converter.Bit))
|
||||
case "decbits":
|
||||
return humanize.Bytes(uint64(value * converter.Bit))
|
||||
case "kbytes", "kBy":
|
||||
return humanize.IBytes(uint64(value * converter.Kibibit))
|
||||
case "decKbytes", "deckbytes", "kBy", "kbit":
|
||||
return humanize.Bytes(uint64(value * converter.Kilobit))
|
||||
case "mbytes", "MiBy", "Mibit":
|
||||
case "decKbytes", "deckbytes":
|
||||
return humanize.IBytes(uint64(value * converter.Kilobit))
|
||||
case "mbytes", "MBy":
|
||||
return humanize.IBytes(uint64(value * converter.Mebibit))
|
||||
case "decMbytes", "decmbytes", "MBy", "Mbit":
|
||||
case "decMbytes", "decmbytes":
|
||||
return humanize.Bytes(uint64(value * converter.Megabit))
|
||||
case "gbytes", "GiBy", "Gibit":
|
||||
case "gbytes", "GBy":
|
||||
return humanize.IBytes(uint64(value * converter.Gibibit))
|
||||
case "decGbytes", "decgbytes", "GBy", "Gbit":
|
||||
case "decGbytes", "decgbytes":
|
||||
return humanize.Bytes(uint64(value * converter.Gigabit))
|
||||
case "tbytes", "TiBy", "Tibit":
|
||||
case "tbytes", "TBy":
|
||||
return humanize.IBytes(uint64(value * converter.Tebibit))
|
||||
case "decTbytes", "dectbytes", "TBy", "Tbit":
|
||||
case "decTbytes", "dectbytes":
|
||||
return humanize.Bytes(uint64(value * converter.Terabit))
|
||||
case "pbytes", "PiBy", "Pibit":
|
||||
case "pbytes", "PBy":
|
||||
return humanize.IBytes(uint64(value * converter.Pebibit))
|
||||
case "decPbytes", "decpbytes", "PBy", "Pbit":
|
||||
case "decPbytes", "decpbytes":
|
||||
return humanize.Bytes(uint64(value * converter.Petabit))
|
||||
case "EiBy":
|
||||
return humanize.IBytes(uint64(value * converter.Exbibit))
|
||||
case "EBy", "Ebit":
|
||||
return humanize.Bytes(uint64(value * converter.Exabit))
|
||||
}
|
||||
// When unit is not matched, return the value as it is.
|
||||
return fmt.Sprintf("%v", value)
|
||||
|
||||
@@ -28,31 +28,46 @@ func (f *dataRateFormatter) Format(value float64, unit string) string {
|
||||
return humanize.IBytes(uint64(value*converter.BitPerSecond)) + "/s"
|
||||
case "bps", "bit/s":
|
||||
return humanize.Bytes(uint64(value*converter.BitPerSecond)) + "/s"
|
||||
case "KiBs", "KiBy/s", "Kibits", "Kibit/s":
|
||||
case "KiBs":
|
||||
return humanize.IBytes(uint64(value*converter.KibibitPerSecond)) + "/s"
|
||||
case "KBs", "kBy/s", "Kbits", "kbit/s":
|
||||
case "Kibits":
|
||||
return humanize.IBytes(uint64(value*converter.KibibytePerSecond)) + "/s"
|
||||
case "KBs", "kBy/s":
|
||||
return humanize.IBytes(uint64(value*converter.KilobitPerSecond)) + "/s"
|
||||
case "MiBs", "MiBy/s", "Mibits", "Mibit/s":
|
||||
case "Kbits", "kbit/s":
|
||||
return humanize.IBytes(uint64(value*converter.KilobytePerSecond)) + "/s"
|
||||
case "MiBs":
|
||||
return humanize.IBytes(uint64(value*converter.MebibitPerSecond)) + "/s"
|
||||
case "MBs", "MBy/s", "Mbits", "Mbit/s":
|
||||
case "Mibits":
|
||||
return humanize.IBytes(uint64(value*converter.MebibytePerSecond)) + "/s"
|
||||
case "MBs", "MBy/s":
|
||||
return humanize.IBytes(uint64(value*converter.MegabitPerSecond)) + "/s"
|
||||
case "GiBs", "GiBy/s", "Gibits", "Gibit/s":
|
||||
case "Mbits", "Mbit/s":
|
||||
return humanize.IBytes(uint64(value*converter.MegabytePerSecond)) + "/s"
|
||||
case "GiBs":
|
||||
return humanize.IBytes(uint64(value*converter.GibibitPerSecond)) + "/s"
|
||||
case "GBs", "GBy/s", "Gbits", "Gbit/s":
|
||||
case "Gibits":
|
||||
return humanize.IBytes(uint64(value*converter.GibibytePerSecond)) + "/s"
|
||||
case "GBs", "GBy/s":
|
||||
return humanize.IBytes(uint64(value*converter.GigabitPerSecond)) + "/s"
|
||||
case "TiBs", "TiBy/s", "Tibits", "Tibit/s":
|
||||
case "Gbits", "Gbit/s":
|
||||
return humanize.IBytes(uint64(value*converter.GigabytePerSecond)) + "/s"
|
||||
case "TiBs":
|
||||
return humanize.IBytes(uint64(value*converter.TebibitPerSecond)) + "/s"
|
||||
case "TBs", "TBy/s", "Tbits", "Tbit/s":
|
||||
case "Tibits":
|
||||
return humanize.IBytes(uint64(value*converter.TebibytePerSecond)) + "/s"
|
||||
case "TBs", "TBy/s":
|
||||
return humanize.IBytes(uint64(value*converter.TerabitPerSecond)) + "/s"
|
||||
case "PiBs", "PiBy/s", "Pibits", "Pibit/s":
|
||||
case "Tbits", "Tbit/s":
|
||||
return humanize.IBytes(uint64(value*converter.TerabytePerSecond)) + "/s"
|
||||
case "PiBs":
|
||||
return humanize.IBytes(uint64(value*converter.PebibitPerSecond)) + "/s"
|
||||
case "PBs", "PBy/s", "Pbits", "Pbit/s":
|
||||
case "Pibits":
|
||||
return humanize.IBytes(uint64(value*converter.PebibytePerSecond)) + "/s"
|
||||
case "PBs", "PBy/s":
|
||||
return humanize.IBytes(uint64(value*converter.PetabitPerSecond)) + "/s"
|
||||
// Exa units
|
||||
case "EBy/s", "Ebit/s":
|
||||
return humanize.Bytes(uint64(value*converter.ExabitPerSecond)) + "/s"
|
||||
case "EiBy/s", "Eibit/s":
|
||||
return humanize.IBytes(uint64(value*converter.ExbibitPerSecond)) + "/s"
|
||||
case "Pbits", "Pbit/s":
|
||||
return humanize.IBytes(uint64(value*converter.PetabytePerSecond)) + "/s"
|
||||
}
|
||||
// When unit is not matched, return the value as it is.
|
||||
return fmt.Sprintf("%v", value)
|
||||
|
||||
@@ -1,149 +0,0 @@
|
||||
package formatter
|
||||
|
||||
import (
|
||||
"testing"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
func TestDataRateFormatterComprehensive(t *testing.T) {
|
||||
dataRateFormatter := NewDataRateFormatter()
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
value float64
|
||||
unit string
|
||||
expected string
|
||||
}{
|
||||
// IEC Base bytes/sec - binBps
|
||||
{name: "binBps as Bps", value: 0, unit: "binBps", expected: "0 B/s"},
|
||||
{name: "1 binBps as 1 Bps", value: 1, unit: "binBps", expected: "1 B/s"},
|
||||
{name: "binBps as Kibps", value: 1024, unit: "binBps", expected: "1.0 KiB/s"},
|
||||
{name: "binBps as Mibps", value: 1024 * 1024, unit: "binBps", expected: "1.0 MiB/s"},
|
||||
{name: "binBps as Gibps", value: 1024 * 1024 * 1024, unit: "binBps", expected: "1.0 GiB/s"},
|
||||
|
||||
// SI Base bytes/sec - Bps, By/s
|
||||
{name: "Bps as Bps", value: 1, unit: "Bps", expected: "1 B/s"},
|
||||
{name: "Bps as kbps", value: 1000, unit: "Bps", expected: "1.0 kB/s"},
|
||||
{name: "Bps as Mbps", value: 1000 * 1000, unit: "Bps", expected: "1.0 MB/s"},
|
||||
{name: "Byps as kbps", value: 1000, unit: "By/s", expected: "1.0 kB/s"},
|
||||
|
||||
// IEC Base bits/sec - binbps
|
||||
{name: "binbps as Bps", value: 1, unit: "binbps", expected: "1 B/s"},
|
||||
{name: "binbps as Kibps", value: 1024, unit: "binbps", expected: "1.0 KiB/s"},
|
||||
{name: "binbps as Mibps", value: 1024 * 1024, unit: "binbps", expected: "1.0 MiB/s"},
|
||||
|
||||
// SI Base bits/sec - bps, bit/s
|
||||
{name: "bps as kbps", value: 1000, unit: "bps", expected: "1.0 kB/s"},
|
||||
{name: "bitps as kbps", value: 1000, unit: "bit/s", expected: "1.0 kB/s"},
|
||||
|
||||
// Kibibytes/sec - KiBs, KiBy/s
|
||||
{name: "Kibs as Bps", value: 0, unit: "KiBs", expected: "0 B/s"},
|
||||
{name: "Kibs as Kibps", value: 1, unit: "KiBs", expected: "1.0 KiB/s"},
|
||||
{name: "Kibs as Mibps", value: 1024, unit: "KiBs", expected: "1.0 MiB/s"},
|
||||
{name: "Kibs as Gibps", value: 3 * 1024 * 1024, unit: "KiBs", expected: "3.0 GiB/s"},
|
||||
{name: "KiByps as Kibps", value: 1, unit: "KiBy/s", expected: "1.0 KiB/s"},
|
||||
{name: "KiByps as Mibps", value: 1024, unit: "KiBy/s", expected: "1.0 MiB/s"},
|
||||
|
||||
// Kibibits/sec - Kibits, Kibit/s
|
||||
{name: "Kibitps as Kibps", value: 1, unit: "Kibits", expected: "1.0 KiB/s"},
|
||||
{name: "Kibitps as Mibps", value: 42 * 1024, unit: "Kibits", expected: "42 MiB/s"},
|
||||
{name: "Kibitps as Kibps 10", value: 10, unit: "Kibit/s", expected: "10 KiB/s"},
|
||||
|
||||
// Kilobytes/sec (SI) - KBs, kBy/s
|
||||
{name: "Kbs as Bps", value: 0.5, unit: "KBs", expected: "500 B/s"},
|
||||
{name: "Kbs as Mibps", value: 1048.6, unit: "KBs", expected: "1.0 MiB/s"},
|
||||
{name: "kByps as Bps", value: 1, unit: "kBy/s", expected: "1000 B/s"},
|
||||
|
||||
// Kilobits/sec (SI) - Kbits, kbit/s
|
||||
{name: "Kbitps as Bps", value: 1, unit: "Kbits", expected: "1000 B/s"},
|
||||
{name: "kbitps as Bps", value: 1, unit: "kbit/s", expected: "1000 B/s"},
|
||||
|
||||
// Mebibytes/sec - MiBs, MiBy/s
|
||||
{name: "Mibs as Mibps", value: 1, unit: "MiBs", expected: "1.0 MiB/s"},
|
||||
{name: "Mibs as Gibps", value: 1024, unit: "MiBs", expected: "1.0 GiB/s"},
|
||||
{name: "Mibs as Tibps", value: 1024 * 1024, unit: "MiBs", expected: "1.0 TiB/s"},
|
||||
{name: "MiByps as Mibps", value: 1, unit: "MiBy/s", expected: "1.0 MiB/s"},
|
||||
|
||||
// Mebibits/sec - Mibits, Mibit/s
|
||||
{name: "Mibitps as Mibps", value: 40, unit: "Mibits", expected: "40 MiB/s"},
|
||||
{name: "Mibitps as Mibps per second variant", value: 10, unit: "Mibit/s", expected: "10 MiB/s"},
|
||||
|
||||
// Megabytes/sec (SI) - MBs, MBy/s
|
||||
{name: "Mbs as Kibps", value: 1, unit: "MBs", expected: "977 KiB/s"},
|
||||
{name: "MByps as Kibps", value: 1, unit: "MBy/s", expected: "977 KiB/s"},
|
||||
|
||||
// Megabits/sec (SI) - Mbits, Mbit/s
|
||||
{name: "Mbitps as Kibps", value: 1, unit: "Mbits", expected: "977 KiB/s"},
|
||||
{name: "Mbitps as Kibps per second variant", value: 1, unit: "Mbit/s", expected: "977 KiB/s"},
|
||||
|
||||
// Gibibytes/sec - GiBs, GiBy/s
|
||||
{name: "Gibs as Gibps", value: 1, unit: "GiBs", expected: "1.0 GiB/s"},
|
||||
{name: "Gibs as Tibps", value: 1024, unit: "GiBs", expected: "1.0 TiB/s"},
|
||||
{name: "GiByps as Tibps", value: 42 * 1024, unit: "GiBy/s", expected: "42 TiB/s"},
|
||||
|
||||
// Gibibits/sec - Gibits, Gibit/s
|
||||
{name: "Gibitps as Tibps", value: 42 * 1024, unit: "Gibits", expected: "42 TiB/s"},
|
||||
{name: "Gibitps as Tibps per second variant", value: 42 * 1024, unit: "Gibit/s", expected: "42 TiB/s"},
|
||||
|
||||
// Gigabytes/sec (SI) - GBs, GBy/s
|
||||
{name: "Gbs as Tibps", value: 42 * 1000, unit: "GBs", expected: "38 TiB/s"},
|
||||
{name: "GByps as Tibps", value: 42 * 1000, unit: "GBy/s", expected: "38 TiB/s"},
|
||||
|
||||
// Gigabits/sec (SI) - Gbits, Gbit/s
|
||||
{name: "Gbitps as Tibps", value: 42 * 1000, unit: "Gbits", expected: "38 TiB/s"},
|
||||
{name: "Gbitps as Tibps per second variant", value: 42 * 1000, unit: "Gbit/s", expected: "38 TiB/s"},
|
||||
|
||||
// Tebibytes/sec - TiBs, TiBy/s
|
||||
{name: "Tibs as Tibps", value: 1, unit: "TiBs", expected: "1.0 TiB/s"},
|
||||
{name: "Tibs as Pibps", value: 1024, unit: "TiBs", expected: "1.0 PiB/s"},
|
||||
{name: "TiByps as Pibps", value: 42 * 1024, unit: "TiBy/s", expected: "42 PiB/s"},
|
||||
|
||||
// Tebibits/sec - Tibits, Tibit/s
|
||||
{name: "Tibitps as Pibps", value: 42 * 1024, unit: "Tibits", expected: "42 PiB/s"},
|
||||
{name: "Tibitps as Pibps per second variant", value: 42 * 1024, unit: "Tibit/s", expected: "42 PiB/s"},
|
||||
|
||||
// Terabytes/sec (SI) - TBs, TBy/s
|
||||
{name: "Tbs as Pibps", value: 42 * 1000, unit: "TBs", expected: "37 PiB/s"},
|
||||
{name: "TByps as Pibps", value: 42 * 1000, unit: "TBy/s", expected: "37 PiB/s"},
|
||||
|
||||
// Terabits/sec (SI) - Tbits, Tbit/s
|
||||
{name: "Tbitps as Pibps", value: 42 * 1000, unit: "Tbits", expected: "37 PiB/s"},
|
||||
{name: "Tbitps as Pibps per second variant", value: 42 * 1000, unit: "Tbit/s", expected: "37 PiB/s"},
|
||||
|
||||
// Pebibytes/sec - PiBs, PiBy/s
|
||||
{name: "Pibs as Eibps", value: 10 * 1024, unit: "PiBs", expected: "10 EiB/s"},
|
||||
{name: "PiByps as Eibps", value: 10 * 1024, unit: "PiBy/s", expected: "10 EiB/s"},
|
||||
|
||||
// Pebibits/sec - Pibits, Pibit/s
|
||||
{name: "Pibitps as Eibps", value: 10 * 1024, unit: "Pibits", expected: "10 EiB/s"},
|
||||
{name: "Pibitps as Eibps per second variant", value: 10 * 1024, unit: "Pibit/s", expected: "10 EiB/s"},
|
||||
|
||||
// Petabytes/sec (SI) - PBs, PBy/s
|
||||
{name: "Pbs as Pibps", value: 42, unit: "PBs", expected: "37 PiB/s"},
|
||||
{name: "PByps as Pibps", value: 42, unit: "PBy/s", expected: "37 PiB/s"},
|
||||
|
||||
// Petabits/sec (SI) - Pbits, Pbit/s
|
||||
{name: "Pbitps as Pibps", value: 42, unit: "Pbits", expected: "37 PiB/s"},
|
||||
{name: "Pbitps as Pibps per second variant", value: 42, unit: "Pbit/s", expected: "37 PiB/s"},
|
||||
|
||||
// Exabytes/sec (SI) - EBy/s
|
||||
{name: "EByps as Ebps", value: 10, unit: "EBy/s", expected: "10 EB/s"},
|
||||
|
||||
// Exabits/sec (SI) - Ebit/s
|
||||
{name: "Ebitps as Ebps", value: 10, unit: "Ebit/s", expected: "10 EB/s"},
|
||||
|
||||
// Exbibytes/sec (IEC) - EiBy/s
|
||||
{name: "EiByps as Eibps", value: 10, unit: "EiBy/s", expected: "10 EiB/s"},
|
||||
|
||||
// Exbibits/sec (IEC) - Eibit/s
|
||||
{name: "Eibitps as Eibps", value: 10, unit: "Eibit/s", expected: "10 EiB/s"},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
got := dataRateFormatter.Format(tt.value, tt.unit)
|
||||
assert.Equal(t, tt.expected, got)
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -14,161 +14,21 @@ func TestData(t *testing.T) {
|
||||
assert.Equal(t, "1.0 KiB", dataFormatter.Format(1024, "bytes"))
|
||||
assert.Equal(t, "1.0 KiB", dataFormatter.Format(1024, "By"))
|
||||
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "mbytes"))
|
||||
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "MiBy"))
|
||||
assert.Equal(t, "2.3 GiB", dataFormatter.Format(2.3*1024, "MBy"))
|
||||
assert.Equal(t, "1.0 MiB", dataFormatter.Format(1024*1024, "bytes"))
|
||||
assert.Equal(t, "1.0 MiB", dataFormatter.Format(1024*1024, "By"))
|
||||
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "mbytes"))
|
||||
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "MiBy"))
|
||||
assert.Equal(t, "69 TiB", dataFormatter.Format(69*1024*1024, "MBy"))
|
||||
assert.Equal(t, "102 KiB", dataFormatter.Format(102*1024, "bytes"))
|
||||
assert.Equal(t, "102 KiB", dataFormatter.Format(102*1024, "By"))
|
||||
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "kbytes"))
|
||||
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "KiBy"))
|
||||
assert.Equal(t, "240 MiB", dataFormatter.Format(240*1024, "kBy"))
|
||||
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "kbytes"))
|
||||
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "KiBy"))
|
||||
assert.Equal(t, "1.0 GiB", dataFormatter.Format(1024*1024, "kBy"))
|
||||
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "kbytes"))
|
||||
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "KiBy"))
|
||||
assert.Equal(t, "23 GiB", dataFormatter.Format(23*1024*1024, "kBy"))
|
||||
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "kbytes"))
|
||||
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "KiBy"))
|
||||
assert.Equal(t, "32 TiB", dataFormatter.Format(32*1024*1024*1024, "kBy"))
|
||||
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "mbytes"))
|
||||
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "MiBy"))
|
||||
}
|
||||
|
||||
func TestDataFormatterComprehensive(t *testing.T) {
|
||||
dataFormatter := NewDataFormatter()
|
||||
|
||||
tests := []struct {
|
||||
name string
|
||||
value float64
|
||||
unit string
|
||||
expected string
|
||||
}{
|
||||
// IEC Base bytes - bytes, By
|
||||
{name: "bytes: 0", value: 0, unit: "bytes", expected: "0 B"},
|
||||
{name: "bytes: 1", value: 1, unit: "bytes", expected: "1 B"},
|
||||
{name: "bytes: 512", value: 512, unit: "bytes", expected: "512 B"},
|
||||
{name: "bytes: 1023", value: 1023, unit: "bytes", expected: "1023 B"},
|
||||
{name: "bytes: 1024 = 1 KiB", value: 1024, unit: "bytes", expected: "1.0 KiB"},
|
||||
{name: "bytes: 1536", value: 1536, unit: "bytes", expected: "1.5 KiB"},
|
||||
{name: "bytes: 1024*1024 = 1 MiB", value: 1024 * 1024, unit: "bytes", expected: "1.0 MiB"},
|
||||
{name: "bytes: 1024*1024*1024 = 1 GiB", value: 1024 * 1024 * 1024, unit: "bytes", expected: "1.0 GiB"},
|
||||
{name: "By: same as bytes", value: 1024, unit: "By", expected: "1.0 KiB"},
|
||||
|
||||
// SI Base bytes - decbytes
|
||||
{name: "decbytes: 1", value: 1, unit: "decbytes", expected: "1 B"},
|
||||
{name: "decbytes: 1000 = 1 kB", value: 1000, unit: "decbytes", expected: "1.0 kB"},
|
||||
{name: "decbytes: 1000*1000 = 1 MB", value: 1000 * 1000, unit: "decbytes", expected: "1.0 MB"},
|
||||
{name: "decbytes: 1000*1000*1000 = 1 GB", value: 1000 * 1000 * 1000, unit: "decbytes", expected: "1.0 GB"},
|
||||
|
||||
// Kibibytes - kbytes, KiBy (IEC)
|
||||
{name: "kbytes: 0", value: 0, unit: "kbytes", expected: "0 B"},
|
||||
{name: "kbytes: 1 = 1 KiB", value: 1, unit: "kbytes", expected: "1.0 KiB"},
|
||||
{name: "kbytes: 512", value: 512, unit: "kbytes", expected: "512 KiB"},
|
||||
{name: "kbytes: 1024 = 1 MiB", value: 1024, unit: "kbytes", expected: "1.0 MiB"},
|
||||
{name: "kbytes: 1024*1024 = 1 GiB", value: 1024 * 1024, unit: "kbytes", expected: "1.0 GiB"},
|
||||
{name: "kbytes: 2.3*1024 = 2.3 MiB", value: 2.3 * 1024, unit: "kbytes", expected: "2.3 MiB"},
|
||||
{name: "KiBy: 1 = 1 KiB", value: 1, unit: "KiBy", expected: "1.0 KiB"},
|
||||
{name: "KiBy: 1024 = 1 MiB", value: 1024, unit: "KiBy", expected: "1.0 MiB"},
|
||||
{name: "kbytes and KiBy alias", value: 240 * 1024, unit: "KiBy", expected: "240 MiB"},
|
||||
|
||||
// SI Kilobytes - decKbytes, deckbytes, kBy
|
||||
{name: "decKbytes: 1 = 1 kB", value: 1, unit: "decKbytes", expected: "1.0 kB"},
|
||||
{name: "decKbytes: 1000 = 1 MB", value: 1000, unit: "decKbytes", expected: "1.0 MB"},
|
||||
{name: "deckbytes: 1 = 1 kB", value: 1, unit: "deckbytes", expected: "1.0 kB"},
|
||||
{name: "kBy: 1 = 1 kB", value: 1, unit: "kBy", expected: "1.0 kB"},
|
||||
{name: "kBy: 1000 = 1 MB", value: 1000, unit: "kBy", expected: "1.0 MB"},
|
||||
|
||||
// Mebibytes - mbytes, MiBy (IEC)
|
||||
{name: "mbytes: 1 = 1 MiB", value: 1, unit: "mbytes", expected: "1.0 MiB"},
|
||||
{name: "mbytes: 24", value: 24, unit: "mbytes", expected: "24 MiB"},
|
||||
{name: "mbytes: 1024 = 1 GiB", value: 1024, unit: "mbytes", expected: "1.0 GiB"},
|
||||
{name: "mbytes: 1024*1024 = 1 TiB", value: 1024 * 1024, unit: "mbytes", expected: "1.0 TiB"},
|
||||
{name: "mbytes: 69*1024 = 69 GiB", value: 69 * 1024, unit: "mbytes", expected: "69 GiB"},
|
||||
{name: "mbytes: 69*1024*1024 = 69 TiB", value: 69 * 1024 * 1024, unit: "mbytes", expected: "69 TiB"},
|
||||
{name: "MiBy: 1 = 1 MiB", value: 1, unit: "MiBy", expected: "1.0 MiB"},
|
||||
{name: "MiBy: 1024 = 1 GiB", value: 1024, unit: "MiBy", expected: "1.0 GiB"},
|
||||
|
||||
// SI Megabytes - decMbytes, decmbytes, MBy
|
||||
{name: "decMbytes: 1 = 1 MB", value: 1, unit: "decMbytes", expected: "1.0 MB"},
|
||||
{name: "decMbytes: 1000 = 1 GB", value: 1000, unit: "decMbytes", expected: "1.0 GB"},
|
||||
{name: "decmbytes: 1 = 1 MB", value: 1, unit: "decmbytes", expected: "1.0 MB"},
|
||||
{name: "MBy: 1 = 1 MB", value: 1, unit: "MBy", expected: "1.0 MB"},
|
||||
|
||||
// Gibibytes - gbytes, GiBy (IEC)
|
||||
{name: "gbytes: 1 = 1 GiB", value: 1, unit: "gbytes", expected: "1.0 GiB"},
|
||||
{name: "gbytes: 1024 = 1 TiB", value: 1024, unit: "gbytes", expected: "1.0 TiB"},
|
||||
{name: "GiBy: 42*1024 = 42 TiB", value: 42 * 1024, unit: "GiBy", expected: "42 TiB"},
|
||||
|
||||
// SI Gigabytes - decGbytes, decgbytes, GBy
|
||||
{name: "decGbytes: 42*1000 = 42 TB", value: 42 * 1000, unit: "decGbytes", expected: "42 TB"},
|
||||
{name: "GBy: 42*1000 = 42 TB", value: 42 * 1000, unit: "GBy", expected: "42 TB"},
|
||||
|
||||
// Tebibytes - tbytes, TiBy (IEC)
|
||||
{name: "tbytes: 1 = 1 TiB", value: 1, unit: "tbytes", expected: "1.0 TiB"},
|
||||
{name: "tbytes: 1024 = 1 PiB", value: 1024, unit: "tbytes", expected: "1.0 PiB"},
|
||||
{name: "TiBy: 42*1024 = 42 PiB", value: 42 * 1024, unit: "TiBy", expected: "42 PiB"},
|
||||
|
||||
// SI Terabytes - decTbytes, dectbytes, TBy
|
||||
{name: "decTbytes: 42*1000 = 42 PB", value: 42 * 1000, unit: "decTbytes", expected: "42 PB"},
|
||||
{name: "dectbytes: 42*1000 = 42 PB", value: 42 * 1000, unit: "dectbytes", expected: "42 PB"},
|
||||
{name: "TBy: 42*1000 = 42 PB", value: 42 * 1000, unit: "TBy", expected: "42 PB"},
|
||||
|
||||
// Pebibytes - pbytes, PiBy (IEC)
|
||||
{name: "pbytes: 10*1024 = 10 EiB", value: 10 * 1024, unit: "pbytes", expected: "10 EiB"},
|
||||
{name: "PiBy: 10*1024 = 10 EiB", value: 10 * 1024, unit: "PiBy", expected: "10 EiB"},
|
||||
|
||||
// SI Petabytes - decPbytes, decpbytes, PBy
|
||||
{name: "decPbytes: 42 = 42 PB", value: 42, unit: "decPbytes", expected: "42 PB"},
|
||||
{name: "decpbytes: 42 = 42 PB", value: 42, unit: "decpbytes", expected: "42 PB"},
|
||||
{name: "PBy: 42 = 42 PB", value: 42, unit: "PBy", expected: "42 PB"},
|
||||
|
||||
// Exbibytes - EiBy (IEC)
|
||||
{name: "EiBy: 10 = 10 EiB", value: 10, unit: "EiBy", expected: "10 EiB"},
|
||||
|
||||
// Exabytes - EBy (SI)
|
||||
{name: "EBy: 10 = 10 EB", value: 10, unit: "EBy", expected: "10 EB"},
|
||||
|
||||
// Kibibits - Kibit (IEC)
|
||||
{name: "Kibit: 1 = 1 KiB", value: 1, unit: "Kibit", expected: "1.0 KiB"},
|
||||
{name: "Kibit: 1024 = 1 MiB", value: 1024, unit: "Kibit", expected: "1.0 MiB"},
|
||||
|
||||
// Mebibits - Mibit (IEC)
|
||||
{name: "Mibit: 1 = 1 MiB", value: 1, unit: "Mibit", expected: "1.0 MiB"},
|
||||
{name: "Mibit: 1024 = 1 GiB", value: 1024, unit: "Mibit", expected: "1.0 GiB"},
|
||||
|
||||
// Gibibits - Gibit (IEC)
|
||||
{name: "Gibit: 42*1024 = 42 TiB", value: 42 * 1024, unit: "Gibit", expected: "42 TiB"},
|
||||
|
||||
// Tebibits - Tibit (IEC)
|
||||
{name: "Tibit: 42*1024 = 42 PiB", value: 42 * 1024, unit: "Tibit", expected: "42 PiB"},
|
||||
|
||||
// Pebibits - Pibit (IEC)
|
||||
{name: "Pibit: 10*1024 = 10 EiB", value: 10 * 1024, unit: "Pibit", expected: "10 EiB"},
|
||||
|
||||
// Kilobits - kbit (SI)
|
||||
{name: "kbit: 1 = 1 kB", value: 1, unit: "kbit", expected: "1.0 kB"},
|
||||
{name: "kbit: 1000 = 1 MB", value: 1000, unit: "kbit", expected: "1.0 MB"},
|
||||
|
||||
// Megabits - Mbit (SI)
|
||||
{name: "Mbit: 1 = 1 MB", value: 1, unit: "Mbit", expected: "1.0 MB"},
|
||||
{name: "Mbit: 1000 = 1 GB", value: 1000, unit: "Mbit", expected: "1.0 GB"},
|
||||
|
||||
// Gigabits - Gbit (SI)
|
||||
{name: "Gbit: 42*1000 = 42 TB", value: 42 * 1000, unit: "Gbit", expected: "42 TB"},
|
||||
|
||||
// Terabits - Tbit (SI)
|
||||
{name: "Tbit: 42*1000 = 42 PB", value: 42 * 1000, unit: "Tbit", expected: "42 PB"},
|
||||
|
||||
// Petabits - Pbit (SI)
|
||||
{name: "Pbit: 42 = 42 PB", value: 42, unit: "Pbit", expected: "42 PB"},
|
||||
|
||||
// Exabits - Ebit (SI)
|
||||
{name: "Ebit: 10 = 10 EB", value: 10, unit: "Ebit", expected: "10 EB"},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
got := dataFormatter.Format(tt.value, tt.unit)
|
||||
assert.Equal(t, tt.expected, got)
|
||||
})
|
||||
}
|
||||
assert.Equal(t, "24 MiB", dataFormatter.Format(24, "MBy"))
|
||||
}
|
||||
|
||||
@@ -18,11 +18,11 @@ var (
|
||||
|
||||
func FromUnit(u string) Formatter {
|
||||
switch u {
|
||||
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min", "w", "wk":
|
||||
case "ns", "us", "µs", "ms", "s", "m", "h", "d", "min":
|
||||
return DurationFormatter
|
||||
case "bytes", "decbytes", "bits", "bit", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy", "EBy", "KiBy", "MiBy", "GiBy", "TiBy", "PiBy", "EiBy", "kbit", "Mbit", "Gbit", "Tbit", "Pbit", "Ebit", "Kibit", "Mibit", "Gibit", "Tibit", "Pibit":
|
||||
case "bytes", "decbytes", "bits", "decbits", "kbytes", "decKbytes", "deckbytes", "mbytes", "decMbytes", "decmbytes", "gbytes", "decGbytes", "decgbytes", "tbytes", "decTbytes", "dectbytes", "pbytes", "decPbytes", "decpbytes", "By", "kBy", "MBy", "GBy", "TBy", "PBy":
|
||||
return DataFormatter
|
||||
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "EBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s", "Ebit/s", "KiBy/s", "MiBy/s", "GiBy/s", "TiBy/s", "PiBy/s", "EiBy/s", "Kibit/s", "Mibit/s", "Gibit/s", "Tibit/s", "Pibit/s", "Eibit/s":
|
||||
case "binBps", "Bps", "binbps", "bps", "KiBs", "Kibits", "KBs", "Kbits", "MiBs", "Mibits", "MBs", "Mbits", "GiBs", "Gibits", "GBs", "Gbits", "TiBs", "Tibits", "TBs", "Tbits", "PiBs", "Pibits", "PBs", "Pbits", "By/s", "kBy/s", "MBy/s", "GBy/s", "TBy/s", "PBy/s", "bit/s", "kbit/s", "Mbit/s", "Gbit/s", "Tbit/s", "Pbit/s":
|
||||
return DataRateFormatter
|
||||
case "percent", "percentunit", "%":
|
||||
return PercentFormatter
|
||||
|
||||
@@ -32,7 +32,7 @@ func (f *durationFormatter) Format(value float64, unit string) string {
|
||||
return toHours(value)
|
||||
case "d":
|
||||
return toDays(value)
|
||||
case "w", "wk":
|
||||
case "w":
|
||||
return toWeeks(value)
|
||||
}
|
||||
// When unit is not matched, return the value as it is.
|
||||
|
||||
@@ -265,46 +265,6 @@ func TestBasicRuleThresholdEval_UnitConversion(t *testing.T) {
|
||||
ruleUnit: "",
|
||||
shouldAlert: true,
|
||||
},
|
||||
// bytes and Gibibytes,
|
||||
// rule will only fire if target is converted to bytes so that the sample value becomes lower than the target 100GiBy
|
||||
{
|
||||
name: "bytes to Gibibytes - should alert",
|
||||
threshold: BasicRuleThreshold{
|
||||
Name: CriticalThresholdName,
|
||||
TargetValue: &target, // 100 Gibibytes
|
||||
TargetUnit: "GiBy",
|
||||
MatchType: AtleastOnce,
|
||||
CompareOp: ValueIsBelow,
|
||||
},
|
||||
series: v3.Series{
|
||||
Labels: map[string]string{"service": "test"},
|
||||
Points: []v3.Point{
|
||||
{Value: 70 * 1024 * 1024 * 1024, Timestamp: 1000}, // 70 Gibibytes
|
||||
},
|
||||
},
|
||||
ruleUnit: "bytes",
|
||||
shouldAlert: true,
|
||||
},
|
||||
// data Rate conversion - bytes per second to MiB per second
|
||||
// rule will only fire if target is converted to bytes so that the sample value becomes lower than the target 100 MiB/s
|
||||
{
|
||||
name: "bytes per second to MiB per second - should alert",
|
||||
threshold: BasicRuleThreshold{
|
||||
Name: CriticalThresholdName,
|
||||
TargetValue: &target, // 100 MiB/s
|
||||
TargetUnit: "MiBy/s",
|
||||
MatchType: AtleastOnce,
|
||||
CompareOp: ValueIsBelow,
|
||||
},
|
||||
series: v3.Series{
|
||||
Labels: map[string]string{"service": "test"},
|
||||
Points: []v3.Point{
|
||||
{Value: 30 * 1024 * 1024, Timestamp: 1000}, // 30 MiB/s
|
||||
},
|
||||
},
|
||||
ruleUnit: "By/s",
|
||||
shouldAlert: true,
|
||||
},
|
||||
}
|
||||
|
||||
for _, tt := range tests {
|
||||
|
||||
@@ -112,7 +112,7 @@ def verify_webhook_alert_expectation(
|
||||
break
|
||||
|
||||
# wait for some time before checking again
|
||||
time.sleep(10)
|
||||
time.sleep(1)
|
||||
|
||||
# We've waited but we didn't get the expected number of alerts
|
||||
|
||||
@@ -133,3 +133,15 @@ def verify_webhook_alert_expectation(
|
||||
)
|
||||
|
||||
return True # should not reach here
|
||||
|
||||
|
||||
def update_rule_channel_name(rule_data: dict, channel_name: str):
|
||||
"""
|
||||
updates the channel name in the thresholds
|
||||
so alert notification are sent to the given channel
|
||||
"""
|
||||
thresholds = rule_data["condition"]["thresholds"]
|
||||
if "kind" in thresholds and thresholds["kind"] == "basic":
|
||||
# loop over all the sepcs and update the channels
|
||||
for spec in thresholds["spec"]:
|
||||
spec["channels"] = [channel_name]
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
from typing import Callable, Optional
|
||||
|
||||
from http import HTTPStatus
|
||||
from typing import Callable, Optional
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
def create_cloud_integration_account(
|
||||
request: pytest.FixtureRequest,
|
||||
@@ -24,9 +26,7 @@ def create_cloud_integration_account(
|
||||
cloud_provider: str = "aws",
|
||||
) -> dict:
|
||||
nonlocal created_account_id, cloud_provider_used
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-east-1"]},
|
||||
@@ -59,9 +59,7 @@ def create_cloud_integration_account(
|
||||
|
||||
def _disconnect(admin_token: str, cloud_provider: str) -> requests.Response:
|
||||
assert created_account_id
|
||||
disconnect_endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
)
|
||||
disconnect_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{created_account_id}/disconnect"
|
||||
return requests.post(
|
||||
signoz.self.host_configs["8080"].get(disconnect_endpoint),
|
||||
headers={"Authorization": f"Bearer {admin_token}"},
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
"""Fixtures for cloud integration tests."""
|
||||
|
||||
from http import HTTPStatus
|
||||
|
||||
import requests
|
||||
|
||||
@@ -43,6 +43,10 @@ class MetricsTimeSeries(ABC):
|
||||
resource_attrs: dict[str, str] = {},
|
||||
scope_attrs: dict[str, str] = {},
|
||||
) -> None:
|
||||
# Create a copy of labels to avoid mutating the caller's dictionary
|
||||
labels = dict(labels)
|
||||
# Add metric_name to the labels to support promql queries
|
||||
labels["__name__"] = metric_name
|
||||
self.env = env
|
||||
self.metric_name = metric_name
|
||||
self.temporality = temporality
|
||||
|
||||
@@ -69,6 +69,10 @@ def signoz( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
"SIGNOZ_GLOBAL_INGESTION__URL": "https://ingest.test.signoz.cloud",
|
||||
"SIGNOZ_USER_PASSWORD_RESET_ALLOW__SELF": True,
|
||||
"SIGNOZ_USER_PASSWORD_RESET_MAX__TOKEN__LIFETIME": "6h",
|
||||
"RULES_EVAL_DELAY": "0s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_POLL__INTERVAL": "5s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__WAIT": "1s",
|
||||
"SIGNOZ_ALERTMANAGER_SIGNOZ_ROUTE_GROUP__INTERVAL": "5s",
|
||||
}
|
||||
| sqlstore.env
|
||||
| clickhouse.env
|
||||
|
||||
@@ -191,3 +191,15 @@ class AlertExpectation:
|
||||
# seconds to wait for the alerts to be fired, if no
|
||||
# alerts are fired in the expected time, the test will fail
|
||||
wait_time_seconds: int
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class AlertTestCase:
|
||||
# name of the test case
|
||||
name: str
|
||||
# path to the rule file in testdata directory
|
||||
rule_path: str
|
||||
# list of alert data that will be inserted into the database
|
||||
alert_data: List[AlertData]
|
||||
# list of alert expectations for the test case
|
||||
alert_expectation: AlertExpectation
|
||||
|
||||
@@ -8,6 +8,9 @@ from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingRespons
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
def test_webhook_notification_channel(
|
||||
@@ -20,6 +23,7 @@ def test_webhook_notification_channel(
|
||||
"""
|
||||
Tests the creation and delivery of test alerts on the created notification channel
|
||||
"""
|
||||
logger.info("Setting up notification channel")
|
||||
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = f"notification-channel-{uuid.uuid4()}"
|
||||
@@ -55,10 +59,10 @@ def test_webhook_notification_channel(
|
||||
)
|
||||
|
||||
# TODO: @abhishekhugetech # pylint: disable=W0511
|
||||
# Time required for Org to be registered
|
||||
# in the alertmanager, default 1m.
|
||||
# Time required for newly created Org to be registered in the alertmanager is 5 seconds in signoz.py
|
||||
# this will be fixed after [https://github.com/SigNoz/engineering-pod/issues/3800]
|
||||
time.sleep(65)
|
||||
# 10 seconds safe time for org to be registered in the alertmanager
|
||||
time.sleep(10)
|
||||
|
||||
# Call test API for the notification channel
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
671
tests/integration/src/alerts/02_basic_alert_conditions.py
Normal file
@@ -0,0 +1,671 @@
|
||||
import json
|
||||
import uuid
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
from wiremock.client import HttpMethods, Mapping, MappingRequest, MappingResponse
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.alertutils import (
|
||||
update_rule_channel_name,
|
||||
verify_webhook_alert_expectation,
|
||||
)
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
# test cases for match type and compare operators have wait time of 30 seconds to verify the alert expectation.
|
||||
# we've poistioned the alert data to fire the alert on first eval of rule manager, the eval frequency
|
||||
# for most alert rules are set of 15s so considering this delay plus some delay from alert manager's
|
||||
# group_wait and group_interval, even in worst case most alerts should be triggered in about 30 seconds
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_above_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_above_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_above_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "server",
|
||||
},
|
||||
),
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_in_total",
|
||||
"threshold.name": "critical",
|
||||
"service": "api",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_above_average",
|
||||
rule_path="alerts/test_scenarios/threshold_above_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="traces",
|
||||
data_path="alerts/test_scenarios/threshold_above_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_above_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_above_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_above_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_below_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_below_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="logs",
|
||||
data_path="alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_below_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_below_average",
|
||||
rule_path="alerts/test_scenarios/threshold_below_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_below_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_below_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_below_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_below_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_at_least_once",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_at_least_once",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_all_the_time",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_all_the_time/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_all_the_time",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_in_total",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_in_total/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_in_total",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_threshold_not_equal_to_average",
|
||||
rule_path="alerts/test_scenarios/threshold_not_equal_to_average/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "threshold_not_equal_to_average",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for matchType last,
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
|
||||
# types.AlertTestCase(
|
||||
# name="test_threshold_not_equal_to_last",
|
||||
# rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# wait_time_seconds=30,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "threshold_not_equal_to_last",
|
||||
# "threshold.name": "critical",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
# test cases unit conversion
|
||||
TEST_RULES_UNIT_CONVERSION = [
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_bytes_to_mb",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_bytes_to_mb",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
types.AlertTestCase(
|
||||
name="test_unit_conversion_ms_to_second",
|
||||
rule_path="alerts/test_scenarios/unit_conversion_ms_to_second/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "unit_conversion_ms_to_second",
|
||||
"threshold.name": "critical",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
]
|
||||
|
||||
# test cases miscellaneous cases, no data and multi threshold
|
||||
TEST_RULES_MISCELLANEOUS = [
|
||||
types.AlertTestCase(
|
||||
name="test_no_data_rule_test",
|
||||
rule_path="alerts/test_scenarios/no_data_rule_test/rule.json",
|
||||
alert_data=[
|
||||
types.AlertData(
|
||||
type="metrics",
|
||||
data_path="alerts/test_scenarios/no_data_rule_test/alert_data.jsonl",
|
||||
),
|
||||
],
|
||||
alert_expectation=types.AlertExpectation(
|
||||
should_alert=True,
|
||||
wait_time_seconds=30,
|
||||
expected_alerts=[
|
||||
types.FiringAlert(
|
||||
labels={
|
||||
"alertname": "[No data] no_data_rule_test",
|
||||
"nodata": "true",
|
||||
}
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
# TODO: @abhishekhugetech enable the test for multi threshold rule, pylint: disable=W0511
|
||||
# after the [issue](https://github.com/SigNoz/engineering-pod/issues/3934) with alertManager is resolved
|
||||
# types.AlertTestCase(
|
||||
# name="test_multi_threshold_rule_test",
|
||||
# rule_path="alerts/test_scenarios/multi_threshold_rule_test/rule.json",
|
||||
# alert_data=[
|
||||
# types.AlertData(
|
||||
# type="metrics",
|
||||
# data_path="alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl",
|
||||
# ),
|
||||
# ],
|
||||
# alert_expectation=types.AlertExpectation(
|
||||
# should_alert=True,
|
||||
# # the second alert will be fired with some delay from alert manager's group_interval
|
||||
# # so taking this in consideration, the wait time is 90 seconds (30s + 30s for next alert + 30s buffer)
|
||||
# wait_time_seconds=90,
|
||||
# expected_alerts=[
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "info",
|
||||
# }
|
||||
# ),
|
||||
# types.FiringAlert(
|
||||
# labels={
|
||||
# "alertname": "multi_threshold_rule_test",
|
||||
# "threshold.name": "warning",
|
||||
# }
|
||||
# ),
|
||||
# ],
|
||||
# ),
|
||||
# ),
|
||||
]
|
||||
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"alert_test_case",
|
||||
TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS
|
||||
+ TEST_RULES_UNIT_CONVERSION
|
||||
+ TEST_RULES_MISCELLANEOUS,
|
||||
ids=lambda alert_test_case: alert_test_case.name,
|
||||
)
|
||||
def test_basic_alert_rule_conditions(
|
||||
# Notification channel related fixtures
|
||||
notification_channel: types.TestContainerDocker,
|
||||
make_http_mocks: Callable[[types.TestContainerDocker, List[Mapping]], None],
|
||||
create_webhook_notification_channel: Callable[[str, str, dict, bool], str],
|
||||
# Alert rule related fixtures
|
||||
create_alert_rule: Callable[[dict], str],
|
||||
# Alert data insertion related fixtures
|
||||
insert_alert_data: Callable[[List[types.AlertData], datetime], None],
|
||||
alert_test_case: types.AlertTestCase,
|
||||
):
|
||||
# Prepare notification channel name and webhook endpoint
|
||||
notification_channel_name = str(uuid.uuid4())
|
||||
webhook_endpoint_path = f"/alert/{notification_channel_name}"
|
||||
notification_url = notification_channel.container_configs["8080"].get(
|
||||
webhook_endpoint_path
|
||||
)
|
||||
|
||||
logger.info("notification_url: %s", {"notification_url": notification_url})
|
||||
|
||||
# register the mock endpoint in notification channel
|
||||
make_http_mocks(
|
||||
notification_channel,
|
||||
[
|
||||
Mapping(
|
||||
request=MappingRequest(
|
||||
method=HttpMethods.POST,
|
||||
url=webhook_endpoint_path,
|
||||
),
|
||||
response=MappingResponse(
|
||||
status=200,
|
||||
json_body={},
|
||||
),
|
||||
persistent=False,
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
# Create an alert channel using the given route
|
||||
create_webhook_notification_channel(
|
||||
channel_name=notification_channel_name,
|
||||
webhook_url=notification_url,
|
||||
http_config={},
|
||||
send_resolved=False,
|
||||
)
|
||||
|
||||
logger.info(
|
||||
"alert channel created with name: %s",
|
||||
{"notification_channel_name": notification_channel_name},
|
||||
)
|
||||
|
||||
# Insert alert data
|
||||
insert_alert_data(
|
||||
alert_test_case.alert_data,
|
||||
base_time=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
|
||||
)
|
||||
|
||||
# Create Alert Rule
|
||||
rule_path = get_testdata_file_path(alert_test_case.rule_path)
|
||||
with open(rule_path, "r", encoding="utf-8") as f:
|
||||
rule_data = json.loads(f.read())
|
||||
# Update the channel name in the rule data
|
||||
update_rule_channel_name(rule_data, notification_channel_name)
|
||||
rule_id = create_alert_rule(rule_data)
|
||||
logger.info(
|
||||
"rule created with id: %s",
|
||||
{"rule_id": rule_id, "rule_name": rule_data["alert"]},
|
||||
)
|
||||
|
||||
# Verify alert expectation
|
||||
verify_webhook_alert_expectation(
|
||||
notification_channel,
|
||||
notification_channel_name,
|
||||
alert_test_case.alert_expectation,
|
||||
)
|
||||
@@ -1,7 +1,6 @@
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,7 +20,9 @@ def test_generate_connection_url(
|
||||
# Get authentication token for admin user
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
cloud_provider = "aws"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
# Prepare request payload
|
||||
request_payload = {
|
||||
@@ -65,9 +66,7 @@ def test_generate_connection_url(
|
||||
data = response_data["data"]
|
||||
|
||||
# Assert account_id is a valid UUID format
|
||||
assert (
|
||||
len(data["account_id"]) > 0
|
||||
), "account_id should be a non-empty string (UUID)"
|
||||
assert len(data["account_id"]) > 0, "account_id should be a non-empty string (UUID)"
|
||||
|
||||
# Assert connection_url contains expected CloudFormation parameters
|
||||
connection_url = data["connection_url"]
|
||||
@@ -111,7 +110,9 @@ def test_generate_connection_url_unsupported_provider(
|
||||
# Try with GCP (unsupported)
|
||||
cloud_provider = "gcp"
|
||||
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/generate-connection-url"
|
||||
)
|
||||
|
||||
request_payload = {
|
||||
"account_config": {"regions": ["us-central1"]},
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -40,8 +36,9 @@ def test_list_connected_accounts_empty(
|
||||
data = response_data.get("data", response_data)
|
||||
assert "accounts" in data, "Response should contain 'accounts' field"
|
||||
assert isinstance(data["accounts"], list), "Accounts should be a list"
|
||||
assert len(data["accounts"]) == 0, "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
assert (
|
||||
len(data["accounts"]) == 0
|
||||
), "Accounts list should be empty when no accounts are connected"
|
||||
|
||||
|
||||
def test_list_connected_accounts_with_account(
|
||||
@@ -60,7 +57,9 @@ def test_list_connected_accounts_with_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List accounts
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts"
|
||||
@@ -87,7 +86,6 @@ def test_list_connected_accounts_with_account(
|
||||
assert "status" in account, "Account should have status field"
|
||||
|
||||
|
||||
|
||||
def test_get_account_status(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -163,16 +161,16 @@ def test_update_account_config(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Update account configuration
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{account_id}/config"
|
||||
)
|
||||
|
||||
updated_config = {
|
||||
"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}
|
||||
}
|
||||
updated_config = {"config": {"regions": ["us-east-1", "us-west-2", "eu-west-1"]}}
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -198,7 +196,6 @@ def test_update_account_config(
|
||||
timeout=10,
|
||||
)
|
||||
|
||||
|
||||
list_response_data = list_response.json()
|
||||
list_data = list_response_data.get("data", list_response_data)
|
||||
account = next((a for a in list_data["accounts"] if a["id"] == account_id), None)
|
||||
@@ -213,7 +210,6 @@ def test_update_account_config(
|
||||
}, "Regions should match updated config"
|
||||
|
||||
|
||||
|
||||
def test_disconnect_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -230,7 +226,9 @@ def test_disconnect_account(
|
||||
|
||||
# Simulate agent check-in to mark as connected
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Disconnect the account
|
||||
endpoint = (
|
||||
@@ -262,8 +260,9 @@ def test_disconnect_account(
|
||||
disconnected_account = next(
|
||||
(a for a in list_data["accounts"] if a["id"] == account_id), None
|
||||
)
|
||||
assert disconnected_account is None, f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
assert (
|
||||
disconnected_account is None
|
||||
), f"Account {account_id} should be removed from connected accounts"
|
||||
|
||||
|
||||
def test_disconnect_account_not_found(
|
||||
@@ -277,9 +276,7 @@ def test_disconnect_account_not_found(
|
||||
cloud_provider = "aws"
|
||||
fake_account_id = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
)
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/accounts/{fake_account_id}/disconnect"
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(endpoint),
|
||||
@@ -292,7 +289,6 @@ def test_disconnect_account_not_found(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_accounts_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import uuid
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logger import setup_logger
|
||||
from fixtures.cloudintegrations import (
|
||||
create_cloud_integration_account,
|
||||
)
|
||||
from fixtures.cloudintegrationsutils import simulate_agent_checkin
|
||||
from fixtures.logger import setup_logger
|
||||
|
||||
logger = setup_logger(__name__)
|
||||
|
||||
@@ -50,7 +46,6 @@ def test_list_services_without_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_list_services_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -66,7 +61,9 @@ def test_list_services_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# List services for the account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services?cloud_account_id={cloud_account_id}"
|
||||
@@ -94,7 +91,6 @@ def test_list_services_with_account(
|
||||
assert "icon" in service, "Service should have 'icon' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -141,7 +137,6 @@ def test_get_service_details_without_account(
|
||||
assert isinstance(data["assets"], dict), "Assets should be a dictionary"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_with_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -157,7 +152,9 @@ def test_get_service_details_with_account(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services first
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -196,7 +193,6 @@ def test_get_service_details_with_account(
|
||||
assert "status" in data, "Config should have 'status' field"
|
||||
|
||||
|
||||
|
||||
def test_get_service_details_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -220,7 +216,6 @@ def test_get_service_details_invalid_service(
|
||||
), f"Expected 404, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_list_services_unsupported_provider(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -243,7 +238,6 @@ def test_list_services_unsupported_provider(
|
||||
), f"Expected 400, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -259,7 +253,9 @@ def test_update_service_config(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get list of services to pick a valid service ID
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -274,7 +270,9 @@ def test_update_service_config(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Update service configuration
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -306,7 +304,6 @@ def test_update_service_config(
|
||||
assert "logs" in data["config"], "Config should contain 'logs' field"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_without_account(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -329,7 +326,9 @@ def test_update_service_config_without_account(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# Try to update config with non-existent account
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
fake_cloud_account_id = str(uuid.uuid4())
|
||||
config_payload = {
|
||||
@@ -351,7 +350,6 @@ def test_update_service_config_without_account(
|
||||
), f"Expected 500 for non-existent account, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_invalid_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -367,11 +365,15 @@ def test_update_service_config_invalid_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Try to update config for invalid service
|
||||
fake_service_id = "non-existent-service"
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{fake_service_id}/config"
|
||||
)
|
||||
|
||||
config_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
@@ -392,7 +394,6 @@ def test_update_service_config_invalid_service(
|
||||
), f"Expected 404 for invalid service, got {response.status_code}"
|
||||
|
||||
|
||||
|
||||
def test_update_service_config_disable_service(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: types.Operation, # pylint: disable=unused-argument
|
||||
@@ -408,7 +409,9 @@ def test_update_service_config_disable_service(
|
||||
account_id = account_data["account_id"]
|
||||
|
||||
cloud_account_id = str(uuid.uuid4())
|
||||
simulate_agent_checkin(signoz, admin_token, cloud_provider, account_id, cloud_account_id)
|
||||
simulate_agent_checkin(
|
||||
signoz, admin_token, cloud_provider, account_id, cloud_account_id
|
||||
)
|
||||
|
||||
# Get a valid service
|
||||
list_endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services"
|
||||
@@ -422,7 +425,9 @@ def test_update_service_config_disable_service(
|
||||
service_id = list_data["services"][0]["id"]
|
||||
|
||||
# First enable the service
|
||||
endpoint = f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
endpoint = (
|
||||
f"/api/v1/cloud-integrations/{cloud_provider}/services/{service_id}/config"
|
||||
)
|
||||
|
||||
enable_payload = {
|
||||
"cloud_account_id": cloud_account_id,
|
||||
|
||||
@@ -2,11 +2,11 @@
|
||||
Look at the multi_temporality_counters_1h.jsonl file for the relevant data
|
||||
"""
|
||||
|
||||
import os
|
||||
import random
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from http import HTTPStatus
|
||||
import random
|
||||
from typing import Any, Callable, List
|
||||
from typing import Callable, List
|
||||
|
||||
import pytest
|
||||
|
||||
from fixtures import types
|
||||
@@ -21,8 +21,13 @@ from fixtures.querier import (
|
||||
from fixtures.utils import get_testdata_file_path
|
||||
|
||||
MULTI_TEMPORALITY_FILE = get_testdata_file_path("multi_temporality_counters_1h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path("multi_temporality_counters_10h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path("multi_temporality_counters_24h.jsonl")
|
||||
MULTI_TEMPORALITY_FILE_10h = get_testdata_file_path(
|
||||
"multi_temporality_counters_10h.jsonl"
|
||||
)
|
||||
MULTI_TEMPORALITY_FILE_24h = get_testdata_file_path(
|
||||
"multi_temporality_counters_24h.jsonl"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_31st_minute, expected_value_at_32nd_minute, steady_value",
|
||||
@@ -39,7 +44,7 @@ def test_with_steady_values_and_reset(
|
||||
time_aggregation: str,
|
||||
expected_value_at_31st_minute: float,
|
||||
expected_value_at_32nd_minute: float,
|
||||
steady_value: float
|
||||
steady_value: float,
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
@@ -69,22 +74,21 @@ def test_with_steady_values_and_reset(
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 59
|
||||
# the counter reset happened at 31st minute
|
||||
assert (
|
||||
result_values[30]["value"] == expected_value_at_31st_minute
|
||||
)
|
||||
assert (
|
||||
result_values[31]["value"] == expected_value_at_32nd_minute
|
||||
)
|
||||
assert result_values[30]["value"] == expected_value_at_31st_minute
|
||||
assert result_values[31]["value"] == expected_value_at_32nd_minute
|
||||
assert (
|
||||
result_values[39]["value"] == steady_value
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
count_of_steady_rate = sum(1 for v in result_values if v["value"] == steady_value)
|
||||
assert (
|
||||
count_of_steady_rate >= 56
|
||||
) # 59 - (1 reset + 1 high rate + 1 at the beginning)
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, stable_health_value, stable_products_value, stable_checkout_value, spike_checkout_value, stable_orders_value, spike_users_value",
|
||||
@@ -161,20 +165,26 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(health_values) >= 58
|
||||
), f"Expected >= 58 values for /health, got {len(health_values)}"
|
||||
count_steady_health = sum(1 for v in health_values if v["value"] == stable_health_value)
|
||||
count_steady_health = sum(
|
||||
1 for v in health_values if v["value"] == stable_health_value
|
||||
)
|
||||
assert (
|
||||
count_steady_health >= 57
|
||||
), f"Expected >= 57 steady rate values ({stable_health_value}) for /health, got {count_steady_health}"
|
||||
# all /health rates should be state except possibly first/last due to boundaries
|
||||
for v in health_values[1:-1]:
|
||||
assert v["value"] == stable_health_value, f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
assert (
|
||||
v["value"] == stable_health_value
|
||||
), f"Expected /health rate {stable_health_value}, got {v['value']}"
|
||||
|
||||
# /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
|
||||
products_values = endpoint_values["/products"]
|
||||
assert (
|
||||
len(products_values) >= 49
|
||||
), f"Expected >= 49 values for /products, got {len(products_values)}"
|
||||
count_steady_products = sum(1 for v in products_values if v["value"] == stable_products_value)
|
||||
count_steady_products = sum(
|
||||
1 for v in products_values if v["value"] == stable_products_value
|
||||
)
|
||||
|
||||
# most values should be stable, some boundary values differ due to 10-min gap
|
||||
assert (
|
||||
@@ -182,7 +192,9 @@ def test_group_by_endpoint(
|
||||
), f"Expected >= 46 steady rate values ({stable_products_value}) for /products, got {count_steady_products}"
|
||||
|
||||
# check that non-stable values are due to gap averaging (should be lower)
|
||||
gap_boundary_values = [v["value"] for v in products_values if v["value"] != stable_products_value]
|
||||
gap_boundary_values = [
|
||||
v["value"] for v in products_values if v["value"] != stable_products_value
|
||||
]
|
||||
for val in gap_boundary_values:
|
||||
assert (
|
||||
0 < val < stable_products_value
|
||||
@@ -193,12 +205,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(checkout_values) >= 59
|
||||
), f"Expected >= 59 values for /checkout, got {len(checkout_values)}"
|
||||
count_steady_checkout = sum(1 for v in checkout_values if v["value"] == stable_checkout_value)
|
||||
count_steady_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == stable_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_steady_checkout >= 53
|
||||
), f"Expected >= 53 steady {time_aggregation} values ({stable_checkout_value}) for /checkout, got {count_steady_checkout}"
|
||||
# check that spike values exist (traffic spike +50/min at t40-t44)
|
||||
count_spike_checkout = sum(1 for v in checkout_values if v["value"] == spike_checkout_value)
|
||||
count_spike_checkout = sum(
|
||||
1 for v in checkout_values if v["value"] == spike_checkout_value
|
||||
)
|
||||
assert (
|
||||
count_spike_checkout >= 4
|
||||
), f"Expected >= 4 spike {time_aggregation} values ({spike_checkout_value}) for /checkout, got {count_spike_checkout}"
|
||||
@@ -220,12 +236,16 @@ def test_group_by_endpoint(
|
||||
assert (
|
||||
len(orders_values) >= 58
|
||||
), f"Expected >= 58 values for /orders, got {len(orders_values)}"
|
||||
count_steady_orders = sum(1 for v in orders_values if v["value"] == stable_orders_value)
|
||||
count_steady_orders = sum(
|
||||
1 for v in orders_values if v["value"] == stable_orders_value
|
||||
)
|
||||
assert (
|
||||
count_steady_orders >= 55
|
||||
), f"Expected >= 55 steady {time_aggregation} values ({stable_orders_value}) for /orders, got {count_steady_orders}"
|
||||
# check for counter reset effects - there should be some non-standard values
|
||||
non_standard_orders = [v["value"] for v in orders_values if v["value"] != stable_orders_value]
|
||||
non_standard_orders = [
|
||||
v["value"] for v in orders_values if v["value"] != stable_orders_value
|
||||
]
|
||||
assert (
|
||||
len(non_standard_orders) >= 2
|
||||
), f"Expected >= 2 non-standard values due to counter reset, got {non_standard_orders}"
|
||||
@@ -252,6 +272,7 @@ def test_group_by_endpoint(
|
||||
count_increment_rate >= 8
|
||||
), f"Expected >= 8 increment {time_aggregation} values ({spike_users_value}) for /users, got {count_increment_rate}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value_at_30th_minute, expected_value_at_31st_minute, value_at_switch",
|
||||
[
|
||||
@@ -267,7 +288,7 @@ def test_for_service_with_switch(
|
||||
time_aggregation: str,
|
||||
expected_value_at_30th_minute: float,
|
||||
expected_value_at_31st_minute: float,
|
||||
value_at_switch: float
|
||||
value_at_switch: float,
|
||||
) -> None:
|
||||
now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
|
||||
start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
|
||||
@@ -296,21 +317,18 @@ def test_for_service_with_switch(
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
assert len(result_values) >= 60
|
||||
assert result_values[30]["value"] == expected_value_at_30th_minute # 0.183
|
||||
assert result_values[31]["value"] == expected_value_at_31st_minute # 0.183
|
||||
assert result_values[38]["value"] == value_at_switch # 0.25
|
||||
assert (
|
||||
result_values[30]["value"] == expected_value_at_30th_minute #0.183
|
||||
)
|
||||
assert (
|
||||
result_values[31]["value"] == expected_value_at_31st_minute # 0.183
|
||||
)
|
||||
assert (
|
||||
result_values[38]["value"] == value_at_switch # 0.25
|
||||
)
|
||||
assert (
|
||||
result_values[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
result_values[39]["value"] == value_at_switch # 0.25
|
||||
) # 39th minute is when cumulative shifts to delta
|
||||
# All rates should be non-negative (stale periods = 0 rate)
|
||||
for v in result_values:
|
||||
assert v["value"] >= 0, f"{time_aggregation} should not be negative: {v['value']}"
|
||||
assert (
|
||||
v["value"] >= 0
|
||||
), f"{time_aggregation} should not be negative: {v['value']}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
@@ -355,6 +373,7 @@ def test_for_week_long_time_range(
|
||||
for value in result_values[1:]:
|
||||
assert value["value"] == expected_value
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"time_aggregation, expected_value",
|
||||
[
|
||||
|
||||
@@ -1,23 +1,23 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
ANONYMOUS_USER_ID = "00000000-0000-0000-0000-000000000000"
|
||||
|
||||
|
||||
def test_managed_roles_create_on_register(
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# get the list of all roles.
|
||||
response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -32,18 +32,22 @@ def test_managed_roles_create_on_register(
|
||||
# since this check happens immediately post registeration, all the managed roles should be present.
|
||||
assert len(data) == 4
|
||||
role_names = {role["name"] for role in data}
|
||||
expected_names = {"signoz-admin", "signoz-viewer", "signoz-editor", "signoz-anonymous"}
|
||||
expected_names = {
|
||||
"signoz-admin",
|
||||
"signoz-viewer",
|
||||
"signoz-editor",
|
||||
"signoz-anonymous",
|
||||
}
|
||||
# do the set mapping as this is order insensitive, direct list match is order-sensitive.
|
||||
assert set(role_names) == expected_names
|
||||
|
||||
|
||||
|
||||
def test_root_user_signoz_admin_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
# Get the user from the /user/me endpoint and extract the id
|
||||
@@ -64,14 +68,16 @@ def test_root_user_signoz_admin_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-admin"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-admin"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -80,15 +86,14 @@ def test_root_user_signoz_admin_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{user_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -97,13 +102,13 @@ def test_root_user_signoz_admin_assignment(
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_anonymous_user_signoz_anonymous_assignment(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
create_user_admin: Operation, # pylint: disable=unused-argument
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
response = requests.get(
|
||||
@@ -115,14 +120,16 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
# this validates to some extent that the role assignment is complete under the assumption that middleware is functioning as expected.
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
|
||||
# Loop over the roles and get the org_id and id for signoz-admin role
|
||||
roles = response.json()["data"]
|
||||
admin_role_entry = next((role for role in roles if role["name"] == "signoz-anonymous"), None)
|
||||
admin_role_entry = next(
|
||||
(role for role in roles if role["name"] == "signoz-anonymous"), None
|
||||
)
|
||||
assert admin_role_entry is not None
|
||||
org_id = admin_role_entry["orgId"]
|
||||
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# to be super sure of authorization server, let's validate the tuples in DB as well.
|
||||
# todo[@vikrantgupta25]: replace this with role memebers handler once built.
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
# verify the entry present for role assignment
|
||||
@@ -131,15 +138,14 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id"),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
# check that the tuple if for role assignment
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_object_type"] == "anonymous"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -147,5 +153,3 @@ def test_anonymous_user_signoz_anonymous_assignment(
|
||||
_user = f"anonymous:organization/{org_id}/anonymous/{ANONYMOUS_USER_ID}"
|
||||
assert tuple_row["user_type"] == "user"
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
@@ -1,11 +1,16 @@
|
||||
import pytest
|
||||
from http import HTTPStatus
|
||||
from typing import Callable
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from sqlalchemy import sql
|
||||
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD, USER_EDITOR_EMAIL, USER_EDITOR_PASSWORD
|
||||
from fixtures.auth import (
|
||||
USER_ADMIN_EMAIL,
|
||||
USER_ADMIN_PASSWORD,
|
||||
USER_EDITOR_EMAIL,
|
||||
USER_EDITOR_PASSWORD,
|
||||
)
|
||||
from fixtures.types import Operation, SigNoz
|
||||
|
||||
|
||||
@@ -16,7 +21,7 @@ def test_user_invite_accept_role_grant(
|
||||
get_token: Callable[[str, str], str],
|
||||
):
|
||||
admin_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
|
||||
# invite a user as editor
|
||||
invite_payload = {
|
||||
"email": USER_EDITOR_EMAIL,
|
||||
@@ -30,7 +35,7 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
assert invite_response.status_code == HTTPStatus.CREATED
|
||||
invite_token = invite_response.json()["data"]["token"]
|
||||
|
||||
|
||||
# accept the invite for editor
|
||||
accept_payload = {
|
||||
"token": invite_token,
|
||||
@@ -40,7 +45,7 @@ def test_user_invite_accept_role_grant(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/invite/accept"),
|
||||
json=accept_payload,
|
||||
timeout=2,
|
||||
)
|
||||
)
|
||||
assert accept_response.status_code == HTTPStatus.CREATED
|
||||
|
||||
# Login with editor email and password
|
||||
@@ -53,7 +58,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert user_me_response.status_code == HTTPStatus.OK
|
||||
editor_id = user_me_response.json()["data"]["id"]
|
||||
|
||||
|
||||
# check the forbidden response for admin api for editor user
|
||||
admin_roles_response = requests.get(
|
||||
signoz.self.host_configs["8080"].get("/api/v1/roles"),
|
||||
@@ -79,11 +83,11 @@ def test_user_invite_accept_role_grant(
|
||||
)
|
||||
tuple_row = tuple_result.mappings().fetchone()
|
||||
assert tuple_row is not None
|
||||
assert tuple_row['object_type'] == "role"
|
||||
assert tuple_row['relation'] == "assignee"
|
||||
assert tuple_row["object_type"] == "role"
|
||||
assert tuple_row["relation"] == "assignee"
|
||||
|
||||
# verify the user tuple details depending on db provider
|
||||
if request.config.getoption("--sqlstore-provider") == 'sqlite':
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert tuple_row["user_object_type"] == "user"
|
||||
assert tuple_row["user_object_id"] == user_object_id
|
||||
@@ -93,7 +97,6 @@ def test_user_invite_accept_role_grant(
|
||||
assert tuple_row["_user"] == _user
|
||||
|
||||
|
||||
|
||||
def test_user_update_role_grant(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -122,9 +125,7 @@ def test_user_update_role_grant(
|
||||
org_id = roles_data[0]["orgId"]
|
||||
|
||||
# Update the user's role to viewer
|
||||
update_payload = {
|
||||
"role": "VIEWER"
|
||||
}
|
||||
update_payload = {"role": "VIEWER"}
|
||||
update_response = requests.put(
|
||||
signoz.self.host_configs["8080"].get(f"/api/v1/user/{editor_id}"),
|
||||
json=update_payload,
|
||||
@@ -139,7 +140,9 @@ def test_user_update_role_grant(
|
||||
viewer_tuple_object_id = f"organization/{org_id}/role/signoz-viewer"
|
||||
# Check there is no tuple for signoz-editor assignment
|
||||
editor_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": editor_tuple_object_id},
|
||||
)
|
||||
for row in editor_tuple_result.mappings().fetchall():
|
||||
@@ -152,13 +155,15 @@ def test_user_update_role_grant(
|
||||
|
||||
# Check that a tuple exists for signoz-viewer assignment
|
||||
viewer_tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": viewer_tuple_object_id},
|
||||
)
|
||||
row = viewer_tuple_result.mappings().fetchone()
|
||||
assert row is not None
|
||||
assert row['object_type'] == "role"
|
||||
assert row['relation'] == "assignee"
|
||||
assert row["object_type"] == "role"
|
||||
assert row["relation"] == "assignee"
|
||||
if request.config.getoption("--sqlstore-provider") == "sqlite":
|
||||
user_object_id = f"organization/{org_id}/user/{editor_id}"
|
||||
assert row["user_object_type"] == "user"
|
||||
@@ -168,6 +173,7 @@ def test_user_update_role_grant(
|
||||
assert row["user_type"] == "user"
|
||||
assert row["_user"] == _user
|
||||
|
||||
|
||||
def test_user_delete_role_revoke(
|
||||
request: pytest.FixtureRequest,
|
||||
signoz: SigNoz,
|
||||
@@ -205,10 +211,12 @@ def test_user_delete_role_revoke(
|
||||
|
||||
with signoz.sqlstore.conn.connect() as conn:
|
||||
tuple_result = conn.execute(
|
||||
sql.text("SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"),
|
||||
sql.text(
|
||||
"SELECT * FROM tuple WHERE object_id = :object_id AND relation = 'assignee'"
|
||||
),
|
||||
{"object_id": tuple_object_id},
|
||||
)
|
||||
|
||||
|
||||
# there should NOT be any tuple for the current user assignment
|
||||
tuple_rows = tuple_result.mappings().fetchall()
|
||||
for row in tuple_rows:
|
||||
@@ -217,4 +225,4 @@ def test_user_delete_role_revoke(
|
||||
assert row["user_object_id"] != user_object_id
|
||||
else:
|
||||
_user = f"user:organization/{org_id}/user/{editor_id}"
|
||||
assert row["_user"] != _user
|
||||
assert row["_user"] != _user
|
||||
|
||||
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_multi_threshold_rule_test","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
83
tests/integration/testdata/alerts/test_scenarios/multi_threshold_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,83 @@
|
||||
{
|
||||
"alert": "multi_threshold_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 30,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "warning",
|
||||
"target": 20,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "info",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_multi_threshold_rule_test",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":26,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":41,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":56,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":101,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":116,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":131,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":146,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":161,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_no_data_rule_test","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":176,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
70
tests/integration/testdata/alerts/test_scenarios/no_data_rule_test/rule.json
vendored
Normal file
@@ -0,0 +1,70 @@
|
||||
{
|
||||
"alert": "no_data_rule_test",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"filter": {
|
||||
"expression": "service = 'server'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_no_data_rule_test",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A",
|
||||
"alertOnAbsent": true,
|
||||
"absentFor": 1
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_above_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_all_the_time",
|
||||
"ruleType": "promql_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "promql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "promql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "{\"cpu_percent_threshold_above_all_the_time\"}"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":19,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":38,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
58
tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"alert": "threshold_above_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "clickhouse_sql",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "clickhouse_sql",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= {{.start_timestamp_ms}} \n AND unix_milli < {{.end_timestamp_ms}} \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n avg(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "duration": "PT0.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a1", "span_id": "a1b2c3d4e5f6g7h8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "duration": "PT1.2S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a2", "span_id": "a2b3c4d5e6f7g8h9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "duration": "PT0.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a3", "span_id": "a3b4c5d6e7f8g9h0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "duration": "PT1.5S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a4", "span_id": "a4b5c6d7e8f9g0h1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "duration": "PT1.1S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a5", "span_id": "a5b6c7d8e9f0g1h2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "duration": "PT0.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a6", "span_id": "a6b7c8d9e0f1g2h3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "duration": "PT1.8S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a7", "span_id": "a7b8c9d0e1f2g3h4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "duration": "PT1.3S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a8", "span_id": "a8b9c0d1e2f3g4h5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "duration": "PT0.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6a9", "span_id": "a9b0c1d2e3f4g5h6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "duration": "PT1.4S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b1", "span_id": "b1c2d3e4f5g6h7i8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "duration": "PT1.6S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b2", "span_id": "b2c3d4e5f6g7h8i9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" },"attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "duration": "PT0.85S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b3", "span_id": "b3c4d5e6f7g8h9i0", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "duration": "PT1.7S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b4", "span_id": "b4c5d6e7f8g9h0i1", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "duration": "PT1.25S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b5", "span_id": "b5c6d7e8f9g0h1i2", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "duration": "PT0.95S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b6", "span_id": "b6c7d8e9f0g1h2i3", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "duration": "PT1.9S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b7", "span_id": "b7c8d9e0f1g2h3i4", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "duration": "PT1.35S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b8", "span_id": "b8c9d0e1f2g3h4i5", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "duration": "PT0.75S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6b9", "span_id": "b9c0d1e2f3g4h5i6", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "duration": "PT1.55S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c1", "span_id": "c1d2e3f4g5h6i7j8", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "duration": "PT1.65S", "trace_id": "491f6d3d6b0a1f9e8a71b2c3d4e5f6c2", "span_id": "c2d3e4f5g6h7i8j9", "parent_span_id": "", "name": "POST /order", "kind": 2, "status_code": 1, "status_message": "", "resources": { "deployment.environment": "production", "service.name": "order-service", "os.type": "linux", "host.name": "linux-000" }, "attributes": { "net.transport": "IP.TCP", "http.scheme": "http", "http.user_agent": "Integration Test", "http.request.method": "POST", "http.response.status_code": "200", "http.request.path": "/order" } }
|
||||
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
68
tests/integration/testdata/alerts/test_scenarios/threshold_above_average/rule.json
vendored
Normal file
@@ -0,0 +1,68 @@
|
||||
{
|
||||
"alert": "threshold_above_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "TRACES_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1,
|
||||
"matchType": "3",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "s"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"unit": "ns",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "traces",
|
||||
"filter": {
|
||||
"expression": "http.request.path = '/order'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "p90(duration_nano)"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
24
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,24 @@
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":308,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":309,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":310,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":311,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_above_in_total","labels":{"service":"server","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":312,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
74
tests/integration/testdata/alerts/test_scenarios/threshold_above_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"alert": "threshold_above_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "4",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "service",
|
||||
"fieldDataType": "",
|
||||
"fieldContext": ""
|
||||
}
|
||||
],
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_above_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [
|
||||
"service"
|
||||
],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":31,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":46,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":58,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":76,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":81,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":91,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_above_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_above_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_threshold_above_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
18
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,18 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:02.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Rate limit check passed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
20
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
{ "timestamp": "2026-01-29T10:00:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "User login successful", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:00:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:01:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Database connection established", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:02:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "API request received", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:03:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:04:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Cache updated successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:05:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Request validation completed", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:06:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Authentication token validated", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "payment success", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:07:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Query executed successfully", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Response sent to client", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:08:30.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Health check endpoint called", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:09:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Metrics collected", "severity_text": "INFO" }
|
||||
{ "timestamp": "2026-01-29T10:10:00.000000Z", "resources": { "service.name": "payment-service" }, "attributes": { "code.file": "payment_handler.py" }, "body": "Background job started", "severity_text": "INFO" }
|
||||
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
66
tests/integration/testdata/alerts/test_scenarios/threshold_below_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
{
|
||||
"alert": "threshold_below_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "LOGS_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "logs",
|
||||
"filter": {
|
||||
"expression": "body CONTAINS 'payment success'"
|
||||
},
|
||||
"aggregations": [
|
||||
{
|
||||
"expression": "count()"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_below_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_below_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":301,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":302,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":303,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":304,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":305,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":306,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_below_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":307,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_below_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":95,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":90,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":85,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":78,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":72,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":80,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":76,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_left_threshold_below_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":82,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_below_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_below_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "2",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_left_threshold_below_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":12,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":7,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":13,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_at_least_once","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":14,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "1",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_at_least_once",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":120,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":180,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":720,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":780,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":840,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":960,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":1020,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":55,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":60,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":65,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":70,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_mb_threshold_equal_to_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":75,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "3",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_mb_threshold_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_all_the_time","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_all_the_time/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_all_the_time",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "2",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_all_the_time",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":430,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":450,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":900,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"request_total_threshold_not_equal_to_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_at_least_once",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 5,
|
||||
"matchType": "1",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "request_total_threshold_not_equal_to_at_least_once",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:01:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:03:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:05:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:06:00+00:00","value":16,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:09:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:10:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:11:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"cpu_percent_threshold_not_equal_to_average","labels":{"host":"server-01","cpu":"cpu0"},"timestamp":"2026-01-29T10:12:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_average/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_average",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "3",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "cpu_percent_threshold_not_equal_to_average",
|
||||
"timeAggregation": "avg",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:05:00+00:00","value":605,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:06:00+00:00","value":606,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:07:00+00:00","value":607,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:08:00+00:00","value":608,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:09:00+00:00","value":609,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:10:00+00:00","value":610,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:11:00+00:00","value":611,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"bytes_per_second_threshold_not_equal_to_in_total","labels":{"interface":"eth0","protocol":"tcp"},"timestamp":"2026-01-29T10:12:00+00:00","value":612,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_in_total/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_in_total",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "4",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "bytes_per_second_threshold_not_equal_to_in_total",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:01:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:03:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:04:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:05:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:06:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:07:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:08:00+00:00","value":10,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:09:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:10:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:11:00+00:00","value":9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"seats_left_threshold_not_equal_to_last","labels":{"venue":"conference_hall","section":"main"},"timestamp":"2026-01-29T10:12:00+00:00","value":11,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
65
tests/integration/testdata/alerts/test_scenarios/threshold_not_equal_to_last/rule.json
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"alert": "threshold_not_equal_to_last",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 10,
|
||||
"matchType": "5",
|
||||
"op": "4",
|
||||
"channels": [
|
||||
"test channel"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "seats_left_threshold_not_equal_to_last",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "min"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":524288,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":1048576,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":1572864,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":2097152,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":3770016,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":5642880,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":10515744,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":11038632,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:09:00+00:00","value":11561520,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":12084408,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":12607296,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"disk_usage_unit_conversion_bytes_to_mb","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":13130184,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/rule.json
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"alert": "unit_conversion_bytes_to_mb",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 1.5,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "MBy"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"unit": "By",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "disk_usage_unit_conversion_bytes_to_mb",
|
||||
"timeAggregation": "latest",
|
||||
"spaceAggregation": "max"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
12
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/alert_data.jsonl
vendored
Normal file
@@ -0,0 +1,12 @@
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":1000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":1500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":2000,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":182100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":182200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":182300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":182400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":182500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":182600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":182700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
{"metric_name":"duration_ms_unit_conversion_ms_to_second","labels":{"service":"api","endpoint":"/health","method":"GET","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":182800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
|
||||
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/rule.json
vendored
Normal file
67
tests/integration/testdata/alerts/test_scenarios/unit_conversion_ms_to_second/rule.json
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"alert": "unit_conversion_ms_to_second",
|
||||
"ruleType": "threshold_rule",
|
||||
"alertType": "METRIC_BASED_ALERT",
|
||||
"condition": {
|
||||
"thresholds": {
|
||||
"kind": "basic",
|
||||
"spec": [
|
||||
{
|
||||
"name": "critical",
|
||||
"target": 3,
|
||||
"matchType": "1",
|
||||
"op": "1",
|
||||
"channels": [
|
||||
"test channel"
|
||||
],
|
||||
"targetUnit": "s"
|
||||
}
|
||||
]
|
||||
},
|
||||
"compositeQuery": {
|
||||
"queryType": "builder",
|
||||
"panelType": "graph",
|
||||
"unit": "ms",
|
||||
"queries": [
|
||||
{
|
||||
"type": "builder_query",
|
||||
"spec": {
|
||||
"name": "A",
|
||||
"signal": "metrics",
|
||||
"aggregations": [
|
||||
{
|
||||
"metricName": "duration_ms_unit_conversion_ms_to_second",
|
||||
"timeAggregation": "rate",
|
||||
"spaceAggregation": "sum"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"selectedQueryName": "A"
|
||||
},
|
||||
"evaluation": {
|
||||
"kind": "rolling",
|
||||
"spec": {
|
||||
"evalWindow": "5m0s",
|
||||
"frequency": "15s"
|
||||
}
|
||||
},
|
||||
"labels": {},
|
||||
"annotations": {
|
||||
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
|
||||
"summary": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})"
|
||||
},
|
||||
"notificationSettings": {
|
||||
"groupBy": [],
|
||||
"usePolicy": false,
|
||||
"renotify": {
|
||||
"enabled": false,
|
||||
"interval": "30m",
|
||||
"alertStates": []
|
||||
}
|
||||
},
|
||||
"version": "v5",
|
||||
"schemaVersion": "v2alpha1"
|
||||
}
|
||||
Reference in New Issue
Block a user