Revert "feat: test css commit"

This reverts commit f0a34dd460.

docs/api/openapi.yml

@@ -842,14 +842,6 @@ components:
       - temporality
       - isMonotonic
       type: object
-    MetrictypesComparisonSpaceAggregationParam:
-      properties:
-        operator:
-          type: string
-        threshold:
-          format: double
-          type: number
-      type: object
     MetrictypesSpaceAggregation:
       enum:
       - sum
@@ -1146,8 +1138,6 @@ components:
       type: object
     Querybuildertypesv5MetricAggregation:
       properties:
-        comparisonSpaceAggregationParam:
-          $ref: '#/components/schemas/MetrictypesComparisonSpaceAggregationParam'
         metricName:
           type: string
         reduceTo:

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

@@ -1006,18 +1006,6 @@ export interface MetricsexplorertypesUpdateMetricMetadataRequestDTO {
 	unit: string;
 }
 
-export interface MetrictypesComparisonSpaceAggregationParamDTO {
-	/**
-	 * @type string
-	 */
-	operator?: string;
-	/**
-	 * @type number
-	 * @format double
-	 */
-	threshold?: number;
-}
-
 export enum MetrictypesSpaceAggregationDTO {
 	sum = 'sum',
 	avg = 'avg',
@@ -1379,7 +1367,6 @@ export interface Querybuildertypesv5LogAggregationDTO {
 }
 
 export interface Querybuildertypesv5MetricAggregationDTO {
-	comparisonSpaceAggregationParam?: MetrictypesComparisonSpaceAggregationParamDTO;
 	/**
 	 * @type string
 	 */

frontend/src/components/Logs/ListLogView/ListLogView.styles.scss

@@ -70,9 +70,6 @@
 		padding-left: 0;
 	}
 	transition: background-color 0.2s ease-in;
-	&:hover {
-		background-color: rgba(171, 189, 255, 0.04) !important;
-	}
 }
 
 .log-selected-fields {
@@ -183,11 +180,6 @@
 	.log-value {
 		color: var(--text-slate-400);
 	}
-	.log-line {
-		&:hover {
-			background-color: var(--text-vanilla-200) !important;
-		}
-	}
 }
 
 .dark {

frontend/src/components/Logs/ListLogView/styles.ts

@@ -49,6 +49,12 @@ export const Container = styled(Card)<{
 
 		${({ $isActiveLog, $isDarkMode, $logType }): string =>
 			getActiveLogBackground($isActiveLog, $isDarkMode, $logType)}
+	}
+
+	&:hover .ant-card-body {
+		${({ $isDarkMode, $logType }): string =>
+			getActiveLogBackground(true, $isDarkMode, $logType)}
+	}
 `;
 
 export const LogContainer = styled.div<LogContainerProps>`

frontend/src/components/Logs/RawLogView/styles.ts

@@ -8,7 +8,6 @@ import styled from 'styled-components';
 import {
 	getActiveLogBackground,
 	getCustomHighlightBackground,
-	getDefaultLogBackground,
 } from 'utils/logs';
 
 import { RawLogContentProps } from './types';
@@ -48,7 +47,9 @@ export const RawLogViewContainer = styled(Row)<{
 	${({ $isReadOnly, $isActiveLog, $isDarkMode, $logType }): string =>
 		$isActiveLog
 			? getActiveLogBackground($isActiveLog, $isDarkMode, $logType)
-			: getDefaultLogBackground($isReadOnly, $isDarkMode)}
+			: !$isReadOnly
+			? `&:hover { ${getActiveLogBackground(true, $isDarkMode, $logType)} }`
+			: ''}
 
 	${({ $isHightlightedLog, $isDarkMode }): string =>
 		$isHightlightedLog

frontend/src/container/ExplorerOptions/ExplorerOptions.tsx

@@ -172,51 +172,23 @@ function ExplorerOptions({
 	const { user } = useAppContext();
 
 	const handleConditionalQueryModification = useCallback(
-		// eslint-disable-next-line sonarjs/cognitive-complexity
 		(defaultQuery: Query | null): string => {
 			const queryToUse = defaultQuery || query;
-			if (!queryToUse) {
-				throw new Error('No query provided');
-			}
 			if (
 				queryToUse?.builder?.queryData?.[0]?.aggregateOperator !==
-					StringOperators.NOOP &&
-				sourcepage !== DataSource.LOGS
+				StringOperators.NOOP
 			) {
 				return JSON.stringify(queryToUse);
 			}
 
-			// Convert NOOP to COUNT for alerts and strip orderBy for logs
+			// Modify aggregateOperator to count, as noop is not supported in alerts
 			const modifiedQuery = cloneDeep(queryToUse);
-			if (modifiedQuery && modifiedQuery.builder?.queryData) {
-				modifiedQuery.builder.queryData = modifiedQuery.builder.queryData.map(
-					(item) => {
-						const updatedItem = { ...item };
 
-						if (updatedItem.aggregateOperator === StringOperators.NOOP) {
-							updatedItem.aggregateOperator = StringOperators.COUNT;
-						}
+			modifiedQuery.builder.queryData[0].aggregateOperator = StringOperators.COUNT;
 
-						// Alerts do not support order by on logs explorer queries
-						if (sourcepage === DataSource.LOGS && panelType === PANEL_TYPES.LIST) {
-							updatedItem.orderBy = [];
-						}
-
-						return updatedItem;
-					},
-				);
-			}
-
-			try {
-				return JSON.stringify(modifiedQuery);
-			} catch (err) {
-				throw new Error(
-					'Failed to stringify modified query: ' +
-						(err instanceof Error ? err.message : String(err)),
-				);
-			}
+			return JSON.stringify(modifiedQuery);
 		},
-		[panelType, query, sourcepage],
+		[query],
 	);
 
 	const onCreateAlertsHandler = useCallback(
@@ -785,9 +757,9 @@ function ExplorerOptions({
 		);
 	}, [
 		disabled,
-		query,
 		isOneChartPerQuery,
 		onCreateAlertsHandler,
+		query,
 		splitedQueries,
 	]);
 

frontend/src/container/ExplorerOptions/__tests__/ExplorerOptionWrapper.test.tsx

@@ -1,4 +1,3 @@
-import { useHistory } from 'react-router-dom';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { MOCK_QUERY } from 'container/QueryTable/Drilldown/__tests__/mockTableData';
 import { useUpdateDashboard } from 'hooks/dashboard/useUpdateDashboard';
@@ -16,11 +15,6 @@ import { getExplorerToolBarVisibility } from '../utils';
 // Mock dependencies
 jest.mock('hooks/dashboard/useUpdateDashboard');
 
-jest.mock('react-router-dom', () => ({
-	...jest.requireActual('react-router-dom'),
-	useHistory: jest.fn(),
-}));
-
 jest.mock('../utils', () => ({
 	getExplorerToolBarVisibility: jest.fn(),
 	generateRGBAFromHex: jest.fn(() => 'rgba(0, 0, 0, 0.08)'),
@@ -35,7 +29,6 @@ const mockGetExplorerToolBarVisibility = jest.mocked(
 );
 
 const mockUseUpdateDashboard = jest.mocked(useUpdateDashboard);
-const mockUseHistory = jest.mocked(useHistory);
 
 // Mock data
 const TEST_QUERY_ID = 'test-query-id';
@@ -110,6 +103,7 @@ describe('ExplorerOptionWrapper', () => {
 	beforeEach(() => {
 		jest.clearAllMocks();
 		mockGetExplorerToolBarVisibility.mockReturnValue(true);
+
 		// Mock useUpdateDashboard to return a mutation object
 		mockUseUpdateDashboard.mockReturnValue(({
 			mutate: jest.fn(),
@@ -123,28 +117,6 @@ describe('ExplorerOptionWrapper', () => {
 		} as unknown) as ReturnType<typeof useUpdateDashboard>);
 	});
 
-	it('should navigate to alert creation page when "Create an Alert" is clicked in logs-explorer', async () => {
-		const user = userEvent.setup({ pointerEventsCheck: 0 });
-		const mockPush = jest.fn();
-		mockUseHistory.mockReturnValue(({
-			push: mockPush,
-		} as unknown) as ReturnType<typeof useHistory>);
-
-		renderExplorerOptionWrapper({ sourcepage: DataSource.LOGS });
-
-		const createAlertButton = screen.getByRole('button', {
-			name: 'Create an Alert',
-		});
-		await user.click(createAlertButton);
-
-		expect(mockPush).toHaveBeenCalledTimes(1);
-		const calledWith = mockPush.mock.calls[0][0] as string;
-		const [path, search = ''] = calledWith.split('?');
-		expect(path).toBe('/alerts/new');
-		const params = new URLSearchParams(search);
-		expect(params.has('compositeQuery')).toBe(true);
-	});
-
 	describe('onExport functionality', () => {
 		it('should call onExport when New Dashboard button is clicked in export modal', async () => {
 			const user = userEvent.setup({ pointerEventsCheck: 0 });

frontend/src/container/LogsExplorerList/InfinityTableView/styles.ts

@@ -70,12 +70,8 @@ export const TableRowStyled = styled.tr<{
 
 	&:hover {
 		${TableCellStyled} {
-			${({ $isActiveLog, $isDarkMode }): string =>
-				$isActiveLog
-					? getActiveLogBackground()
-					: `background-color: ${
-							!$isDarkMode ? 'var(--bg-vanilla-200)' : 'rgba(171, 189, 255, 0.04)'
-					  }`}
+			${({ $isDarkMode, $logType }): string =>
+				getActiveLogBackground(true, $isDarkMode, $logType)}
 		}
 		.log-line-action-buttons {
 			display: flex;

pkg/querier/builder_query.go

@@ -80,16 +80,11 @@ func (q *builderQuery[T]) Fingerprint() string {
 			case qbtypes.LogAggregation:
 				aggParts = append(aggParts, a.Expression)
 			case qbtypes.MetricAggregation:
-				var spaceAggParamStr string
-				if a.ComparisonSpaceAggregationParam != nil {
-					spaceAggParamStr = a.ComparisonSpaceAggregationParam.StringValue()
-				}
-				aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s:%s",
+				aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s",
 					a.MetricName,
 					a.Temporality.StringValue(),
 					a.TimeAggregation.StringValue(),
 					a.SpaceAggregation.StringValue(),
-					spaceAggParamStr,
 				))
 			}
 		}

pkg/querier/querier.go

@@ -276,17 +276,15 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 
 	// Fetch temporality for all metrics at once
 	var metricTemporality map[string]metrictypes.Temporality
-	var metricTypes map[string]metrictypes.Type
 	if len(metricNames) > 0 {
 		var err error
-		metricTemporality, metricTypes, err = q.metadataStore.FetchTemporalityAndTypeMulti(ctx, req.Start, req.End, metricNames...)
+		metricTemporality, err = q.metadataStore.FetchTemporalityMulti(ctx, req.Start, req.End, metricNames...)
 		if err != nil {
 			q.logger.WarnContext(ctx, "failed to fetch metric temporality", "error", err, "metrics", metricNames)
 			// Continue without temporality - statement builder will handle unspecified
 			metricTemporality = make(map[string]metrictypes.Temporality)
-			metricTypes = make(map[string]metrictypes.Type)
 		}
-		q.logger.DebugContext(ctx, "fetched metric temporalities and types", "metric_temporality", metricTemporality, "metric_types", metricTypes)
+		q.logger.DebugContext(ctx, "fetched metric temporalities", "metric_temporality", metricTemporality)
 	}
 
 	queries := make(map[string]qbtypes.Query)
@@ -382,12 +380,6 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 					if spec.Aggregations[i].Temporality == metrictypes.Unknown {
 						spec.Aggregations[i].Temporality = metrictypes.Unspecified
 					}
-
-					if spec.Aggregations[i].MetricName != "" && spec.Aggregations[i].Type == metrictypes.UnspecifiedType {
-						if foundMetricType, ok := metricTypes[spec.Aggregations[i].MetricName]; ok && foundMetricType != metrictypes.UnspecifiedType {
-							spec.Aggregations[i].Type = foundMetricType
-						}
-					}
 				}
 				spec.ShiftBy = extractShiftFromBuilderQuery(spec)
 				timeRange := adjustTimeRangeForShift(spec, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType)

pkg/telemetrymetadata/metadata.go

@@ -1616,53 +1616,40 @@ func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, queryTimeRang
 }
 
 func (t *telemetryMetaStore) FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
-	temporalities, _, err := t.FetchTemporalityAndTypeMulti(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
-	return temporalities, err
-}
-
-func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
 	if len(metricNames) == 0 {
-		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
+		return make(map[string]metrictypes.Temporality), nil
 	}
 
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
-	metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+	result := make(map[string]metrictypes.Temporality)
+	metricsTemporality, err := t.fetchMetricsTemporality(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
 	if err != nil {
-		return nil, nil, err
+		return nil, err
 	}
 	// TODO: return error after table migration are run
-	meterMetricsTemporality, meterMetricsTypes, _ := t.fetchMeterSourceMetricsTemporalityAndType(ctx, metricNames...)
+	meterMetricsTemporality, _ := t.fetchMeterSourceMetricsTemporality(ctx, metricNames...)
 
 	// For metrics not found in the database, set to Unknown
 	for _, metricName := range metricNames {
 		if temporality, exists := metricsTemporality[metricName]; exists && len(temporality) > 0 {
 			if len(temporality) > 1 {
-				temporalities[metricName] = metrictypes.Multiple
+				result[metricName] = metrictypes.Multiple
 			} else {
-				temporalities[metricName] = temporality[0]
+				result[metricName] = temporality[0]
 			}
-		} else if temporality, exists := meterMetricsTemporality[metricName]; exists {
-			temporalities[metricName] = temporality
 			continue
-		} else {
-			temporalities[metricName] = metrictypes.Unknown
 		}
-		if metricType, exists := metricTypes[metricName]; exists {
-			types[metricName] = metricType
-		} else if meterMetricType, exists := meterMetricsTypes[metricName]; exists {
-			types[metricName] = meterMetricType
-		} else {
-			types[metricName] = metrictypes.UnspecifiedType
+		if temporality, exists := meterMetricsTemporality[metricName]; exists {
+			result[metricName] = temporality
+			continue
 		}
+		result[metricName] = metrictypes.Unknown
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
-func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string][]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
+func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, error) {
+	result := make(map[string][]metrictypes.Temporality)
 
 	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
 
@@ -1673,7 +1660,6 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"temporality",
-		"any(type) AS type",
 	).
 		From(t.metricsDBName + "." + tsTableName)
 
@@ -1692,15 +1678,15 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		var metricName, temporalityStr, metricTypeStr string
-		if err := rows.Scan(&metricName, &temporalityStr, &metricTypeStr); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		var metricName, temporalityStr string
+		if err := rows.Scan(&metricName, &temporalityStr); err != nil {
+			return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
 		}
 
 		// Convert string to Temporality type
@@ -1717,27 +1703,22 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 			temporality = metrictypes.Unknown
 		}
 		if temporality != metrictypes.Unknown {
-			temporalities[metricName] = append(temporalities[metricName], temporality)
+			result[metricName] = append(result[metricName], temporality)
 		}
-		var metricType metrictypes.Type
-		metricType.Scan(metricTypeStr)
-		types[metricName] = metricType
 	}
 	if err := rows.Err(); err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
-func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
+func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, error) {
+	result := make(map[string]metrictypes.Temporality)
 
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"argMax(temporality, unix_milli) as temporality",
-		"any(type) AS type",
 	).From(t.meterDBName + "." + t.meterFieldsTblName)
 
 	// Filter by metric names (in the temporality column due to data mix-up)
@@ -1752,15 +1733,15 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx conte
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		var metricName, temporalityStr, meterMetricTypeStr string
-		if err := rows.Scan(&metricName, &temporalityStr, &meterMetricTypeStr); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		var metricName, temporalityStr string
+		if err := rows.Scan(&metricName, &temporalityStr); err != nil {
+			return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
 		}
 
 		// Convert string to Temporality type
@@ -1777,13 +1758,10 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx conte
 			temporality = metrictypes.Unknown
 		}
 
-		temporalities[metricName] = temporality
-		var metricType metrictypes.Type
-		metricType.Scan(meterMetricTypeStr)
-		types[metricName] = metricType
+		result[metricName] = temporality
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
 // chunkSizeFirstSeenMetricMetadata limits the number of tuples per SQL query to avoid hitting the max_query_size limit.

pkg/telemetrymetrics/statement_builder.go

@@ -123,7 +123,8 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 	origTimeAgg := query.Aggregations[0].TimeAggregation
 	origGroupBy := slices.Clone(query.GroupBy)
 
-	if query.Aggregations[0].Type == metrictypes.HistogramType {
+	if query.Aggregations[0].SpaceAggregation.IsPercentile() &&
+		query.Aggregations[0].Type != metrictypes.ExpHistogramType {
 		// add le in the group by if doesn't exist
 		leExists := false
 		for _, g := range query.GroupBy {
@@ -153,11 +154,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// make the time aggregation rate and space aggregation sum
-		if query.Aggregations[0].SpaceAggregation.IsPercentile() {
-			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
-		} else {
-			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
-		}
+		query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
 		query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
 	}
 
@@ -554,9 +551,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 	cteArgs [][]any,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 ) (*qbtypes.Statement, error) {
-	metricType := query.Aggregations[0].Type
-	spaceAgg := query.Aggregations[0].SpaceAggregation
-
 	combined := querybuilder.CombineCTEs(cteFragments)
 
 	var args []any
@@ -566,8 +560,12 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 
 	sb := sqlbuilder.NewSelectBuilder()
 
-	if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
-		quantile := query.Aggregations[0].SpaceAggregation.Percentile()
+	var quantile float64
+	if query.Aggregations[0].SpaceAggregation.IsPercentile() {
+		quantile = query.Aggregations[0].SpaceAggregation.Percentile()
+	}
+
+	if quantile != 0 && query.Aggregations[0].Type != metrictypes.ExpHistogramType {
 		sb.Select("ts")
 		for _, g := range query.GroupBy {
 			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
@@ -579,36 +577,12 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 		sb.From("__spatial_aggregation_cte")
 		sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 		sb.GroupBy("ts")
-		if query.Having != nil && query.Having.Expression != "" {
-			rewriter := querybuilder.NewHavingExpressionRewriter()
-			rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
-			sb.Having(rewrittenExpr)
-		}
-	} else if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam != nil {
-		sb.Select("ts")
-
-		for _, g := range query.GroupBy {
-			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
-		}
-
-		aggQuery, err := AggregationQueryForHistogramCountWithParams(query.Aggregations[0].ComparisonSpaceAggregationParam)
-		if err != nil {
-			return nil, err
-		}
-		sb.SelectMore(aggQuery)
-
-		sb.From("__spatial_aggregation_cte")
-
-		sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
-		sb.GroupBy("ts")
-
 		if query.Having != nil && query.Having.Expression != "" {
 			rewriter := querybuilder.NewHavingExpressionRewriter()
 			rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
 			sb.Having(rewrittenExpr)
 		}
 	} else {
-		// for count aggregation on histograms with no params, the exact result of spatial aggregation can be sent forward
 		sb.Select("*")
 		sb.From("__spatial_aggregation_cte")
 		if query.Having != nil && query.Having.Expression != "" {
@@ -619,9 +593,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 	}
 	sb.OrderBy(querybuilder.GroupByKeys(query.GroupBy)...)
 	sb.OrderBy("ts")
-	if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam == nil {
-		sb.OrderBy("toFloat64(le)")
-	}
 
 	q, a := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
 	return &qbtypes.Statement{Query: combined + q, Args: append(args, a...)}, nil

pkg/telemetrymetrics/tables.go

@@ -1,7 +1,6 @@
 package telemetrymetrics
 
 import (
-	"fmt"
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -309,20 +308,3 @@ func AggregationColumnForSamplesTable(
 	}
 	return aggregationColumn, nil
 }
-
-func AggregationQueryForHistogramCountWithParams(param *metrictypes.ComparisonSpaceAggregationParam) (string, error) {
-	if param == nil {
-		return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "no aggregation param provided for histogram count")
-	}
-	histogramCountThreshold := param.Threshold
-
-	switch param.Operater {
-	case "<=":
-		return fmt.Sprintf("argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f)) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
-	case ">":
-		return fmt.Sprintf("argMax(value, toFloat64(le)) - (argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f))) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
-	default:
-		return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "invalid space aggregation operator, should be one of the following: [`<=`, `>`]")
-	}
-
-}

pkg/types/metrictypes/metrictypes.go

@@ -2,7 +2,6 @@ package metrictypes
 
 import (
 	"database/sql/driver"
-	"fmt"
 	"strings"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -257,12 +256,3 @@ type MetricTableHints struct {
 type MetricValueFilter struct {
 	Value float64
 }
-
-type ComparisonSpaceAggregationParam struct {
-	Operater  string  `json:"operator"`
-	Threshold float64 `json:"threshold"`
-}
-
-func (param ComparisonSpaceAggregationParam) StringValue() string {
-	return fmt.Sprintf("{\"operator\": \"%s\", \"limit\": \"%f\"}", param.Operater, param.Threshold)
-}

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -446,8 +446,6 @@ type MetricAggregation struct {
 	TimeAggregation metrictypes.TimeAggregation `json:"timeAggregation"`
 	// space aggregation to apply to the query
 	SpaceAggregation metrictypes.SpaceAggregation `json:"spaceAggregation"`
-	// param for space aggregation if needed
-	ComparisonSpaceAggregationParam *metrictypes.ComparisonSpaceAggregationParam `json:"comparisonSpaceAggregationParam"`
 	// table hints to use for the query
 	TableHints *metrictypes.MetricTableHints `json:"-"`
 	// value filter to apply to the query

pkg/types/telemetrytypes/store.go

@@ -32,8 +32,6 @@ type MetadataStore interface {
 	// FetchTemporalityMulti fetches the temporality for multiple metrics
 	FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error)
 
-	FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error)
-
 	// ListLogsJSONIndexes lists the JSON indexes for the logs table.
 	ListLogsJSONIndexes(ctx context.Context, filters ...string) (map[string][]schemamigrator.Index, error)
 

pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go

@@ -16,7 +16,6 @@ type MockMetadataStore struct {
 	RelatedValuesMap   map[string][]string
 	AllValuesMap       map[string]*telemetrytypes.TelemetryFieldValues
 	TemporalityMap     map[string]metrictypes.Temporality
-	TypeMap            map[string]metrictypes.Type
 	PromotedPathsMap   map[string]struct{}
 	LogsJSONIndexesMap map[string][]schemamigrator.Index
 	LookupKeysMap      map[telemetrytypes.MetricMetadataLookupKey]int64
@@ -29,7 +28,6 @@ func NewMockMetadataStore() *MockMetadataStore {
 		RelatedValuesMap:   make(map[string][]string),
 		AllValuesMap:       make(map[string]*telemetrytypes.TelemetryFieldValues),
 		TemporalityMap:     make(map[string]metrictypes.Temporality),
-		TypeMap:            make(map[string]metrictypes.Type),
 		PromotedPathsMap:   make(map[string]struct{}),
 		LogsJSONIndexesMap: make(map[string][]schemamigrator.Index),
 		LookupKeysMap:      make(map[telemetrytypes.MetricMetadataLookupKey]int64),
@@ -289,27 +287,6 @@ func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, queryTime
 	return result, nil
 }
 
-// FetchTemporalityMulti fetches the temporality for multiple metrics
-func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
-
-	for _, metricName := range metricNames {
-		if temporality, exists := m.TemporalityMap[metricName]; exists {
-			temporalities[metricName] = temporality
-		} else {
-			temporalities[metricName] = metrictypes.Unknown
-		}
-		if metricType, exists := m.TypeMap[metricName]; exists {
-			types[metricName] = metricType
-		} else {
-			types[metricName] = metrictypes.UnspecifiedType
-		}
-	}
-
-	return temporalities, types, nil
-}
-
 // SetTemporality sets the temporality for a metric in the mock store
 func (m *MockMetadataStore) SetTemporality(metricName string, temporality metrictypes.Temporality) {
 	m.TemporalityMap[metricName] = temporality

tests/integration/fixtures/querier.py

@@ -52,7 +52,6 @@ def build_builder_query(
     time_aggregation: str,
     space_aggregation: str,
     *,
-    comparisonSpaceAggregationParam: Optional[Dict] = None,
     temporality: Optional[str] = None,
     step_interval: int = DEFAULT_STEP_INTERVAL,
     group_by: Optional[List[str]] = None,
@@ -75,8 +74,7 @@ def build_builder_query(
     }
     if temporality:
         spec["aggregations"][0]["temporality"] = temporality
-    if comparisonSpaceAggregationParam:
-        spec["aggregations"][0]["comparisonSpaceAggregationParam"] = comparisonSpaceAggregationParam
+
     if group_by:
         spec["groupBy"] = [
             {

tests/integration/src/querier/07_metrics_multi_temporality.py

@@ -353,7 +353,7 @@ def test_for_week_long_time_range(
 
     metrics = Metrics.load_from_file(
         MULTI_TEMPORALITY_FILE_10h,
-        base_time=now - timedelta(minutes=1441),
+        base_time=now - timedelta(minutes=600),
         metric_name_override=metric_name,
     )
     insert_metrics(metrics)

tests/integration/src/querier/08_metrics_histogram.py

@@ -1,259 +0,0 @@
-"""
-Look at the multi_temporality_counters_1h.jsonl file for the relevant data
-"""
-
-import random
-from datetime import datetime, timedelta, timezone
-from http import HTTPStatus
-from typing import Callable, List
-
-import pytest
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.metrics import Metrics
-from fixtures.querier import (
-    build_builder_query,
-    get_all_series,
-    get_series_values,
-    make_query_request,
-)
-from fixtures.utils import get_testdata_file_path
-
-FILE = get_testdata_file_path("histogram_data_1h.jsonl")
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 11, 69),
-        (100, "<=", 1.1, 6.9),
-        (7500, "<=", 16.75, 74.75),
-        (8000, "<=", 17, 75),
-        (80000, "<=", 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 7, 7),
-        (100, ">", 16.9, 69.1),
-        (7500, ">", 1.25, 1.25),
-        (8000, ">", 1, 1),
-        (80000, ">", 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_one_endpoint(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='endpoint = "/health"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 59
-    assert result_values[0]["value"] == first_value
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 22, 138),
-        (100, "<=", 2.2, 13.8),
-        (7500, "<=", 33.5, 149.5),
-        (8000, "<=", 34, 150),
-        (80000, "<=", 34, 150), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 14, 14),
-        (100, ">", 33.8, 138.2),
-        (7500, ">", 2.5, 2.5),
-        (8000, ">", 2, 2),
-        (80000, ">", 2, 2), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_one_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='service = "api"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 59
-    assert result_values[0]["value"] == first_value
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 11, 69),
-        (100, "<=", 1.1, 6.9),
-        (7500, "<=", 16.75, 74.75),
-        (8000, "<=", 17, 75),
-        (80000, "<=", 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 7, 7),
-        (100, ">", 16.9, 69.1),
-        (7500, ">", 1.25, 1.25),
-        (8000, ">", 1, 1),
-        (80000, ">", 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_delta_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='service = "web"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60 ## in delta, the value at 10:01 will also be reported
-    assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 33, 207),
-        (100, "<=", 3.3, 20.7),
-        (7500, "<=", 50.25, 224.25),
-        (8000, "<=", 51, 225),
-        (80000, "<=", 51, 225),
-        (1000, ">", 21, 21),
-        (100, ">", 50.7, 207.3),
-        (7500, ">", 3.75, 3.75),
-        (8000, ">", 3, 3),
-        (80000, ">", 3, 3),
-    ],
-)
-def test_histogram_count_for_all_services(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        ## no services filter, this tests for multitemporality handling as well
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60
-    assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
-    assert result_values[-1]["value"] == last_value

tests/integration/src/querier/09_metrics_gauge.py

@@ -1,141 +0,0 @@
-import random
-from datetime import datetime, timedelta, timezone
-from http import HTTPStatus
-from typing import Callable, List
-
-import pytest
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.metrics import Metrics
-from fixtures.querier import (
-    build_builder_query,
-    get_all_series,
-    get_series_values,
-    make_query_request,
-)
-from fixtures.utils import get_testdata_file_path
-
-FILE = get_testdata_file_path("gauge_data_1h.jsonl")
-
-@pytest.mark.parametrize(
-    "time_agg, space_agg, service, num_elements, start_val, first_val, twentieth_min_val, after_twentieth_min_val",
-    [
-        ("avg", "avg", "api", 60, 400, 800, 800, 400),
-        ("avg", "avg", "web", 50, 800, 800, 800, 600),
-        ("avg", "avg", "lab", 60, 500, 700, 700, 500),
-        ("sum", "sum", "api", 60, 400, 800, 800, 400),
-        ("sum", "sum", "web", 50, 800, 800, 800, 600),
-        ("sum", "sum", "lab", 60, 1000, 1400, 1400, 1000),
-        ("max", "max", "api", 60, 400, 800, 800, 400),
-        ("max", "max", "web", 50, 800, 800, 800, 600),
-        ("max", "max", "lab", 60, 600, 800, 800, 600),
-        ("avg", "sum", "api", 60, 400, 800, 800, 400),
-        ("avg", "sum", "web", 50, 800, 800, 800, 600),
-        ("avg", "sum", "lab", 60, 500, 700, 700, 500),
-        ("max", "sum", "api", 60, 400, 800, 800, 400),
-        ("max", "sum", "web", 50, 800, 800, 800, 600),
-        ("max", "sum", "lab", 60, 600, 800, 800, 600),
-    ],
-)
-def test_for_one_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    time_agg: str,
-    space_agg: str,
-    service: str,
-    num_elements: float,
-    start_val: float,
-    first_val: float,
-    twentieth_min_val: float,
-    after_twentieth_min_val: float ## web service has a gap of 10 mins after the 20th minute
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_memory_usage"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        time_agg,
-        space_agg,
-        filter_expression=f'service = "{service}"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == num_elements
-    assert result_values[0]["value"] == start_val
-    assert result_values[1]["value"] == first_val
-    assert result_values[19]["value"] == twentieth_min_val
-    assert result_values[20]["value"] == after_twentieth_min_val
-
-@pytest.mark.parametrize(
-    "time_agg, space_agg, start_val, first_val, twentieth_min_val, twenty_first_min_val, thirty_first_min_val",
-    [
-        ("avg", "avg", 566.667, 766.667, 766.667, 450, 500),
-        ("avg", "sum", 1700, 2300, 2300, 900, 1500),
-        ("avg", "max", 800, 800, 800, 500, 600),
-        ("max", "avg", 600, 800, 800, 500, 533.333),
-        ("max", "sum", 1800, 2400, 2400, 1000, 1600),
-        ("max", "max", 800, 800, 800, 600, 600),
-    ],
-)
-def test_for_multiple_aggregations(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    time_agg: str,
-    space_agg: str,
-    start_val: float,
-    first_val: float,
-    twentieth_min_val: float,
-    twenty_first_min_val: float, ## web service has a gap of 10 mins after the 20th minute
-    thirty_first_min_val: float
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_memory_usage"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        time_agg,
-        space_agg,
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60
-    assert result_values[0]["value"] == start_val
-    assert result_values[1]["value"] == first_val
-    assert result_values[19]["value"] == twentieth_min_val
-    assert result_values[20]["value"] == twenty_first_min_val
-    assert result_values[30]["value"] == thirty_first_min_val

tests/integration/testdata/gauge_data_1h.jsonl

@@ -1,229 +0,0 @@
-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:01:00+00:00","value":400,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:02:00+00:00","value":800,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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