feat(aci): Optimize anomaly loading, empty states (#97535)

- fixes fetching historical data for EAP datasets
- Loads both current and historical series of data

empty
<img width="1036" height="335" alt="Screenshot 2025-08-08 at 3 44 35 PM"
src="https://github.com/user-attachments/assets/8a80c0c8-a61a-418c-bad2-69f5b18f7281"
/>

loading
<img width="1027" height="348" alt="Screenshot 2025-08-08 at 2 51 12 PM"
src="https://github.com/user-attachments/assets/ce9cbb0d-d0e6-4584-a37c-08bb75a0d05f"
/>

found
<img width="1040" height="348" alt="Screenshot 2025-08-08 at 2 49 39 PM"
src="https://github.com/user-attachments/assets/2762168b-b7a1-46d3-a767-7fd3f0b62237"
/>

Author: scttcper

static/app/views/detectors/components/details/metric/chart.tsx

@@ -40,7 +40,7 @@ function MetricDetectorChart({
   const comparisonDelta =
     detectionType === 'percent' ? detector.config.comparisonDelta : undefined;
   const dataset = getDetectorDataset(snubaQuery.dataset, snubaQuery.eventTypes);
-  const {series, comparisonSeries, isLoading, isError} = useMetricDetectorSeries({
+  const {series, comparisonSeries, isLoading, error} = useMetricDetectorSeries({
     dataset,
     aggregate: snubaQuery.aggregate,
     interval: snubaQuery.timeWindow,
@@ -140,7 +140,7 @@ function MetricDetectorChart({
     );
   }
 
-  if (isError) {
+  if (error) {
     return (
       <Flex style={{height: CHART_HEIGHT}} justify="center" align="center">
         <ErrorPanel>

static/app/views/detectors/components/forms/metric/metricDetectorChart.tsx

@@ -1,28 +1,52 @@
-import {useMemo} from 'react';
+import {Fragment, useMemo} from 'react';
+import styled from '@emotion/styled';
 import type {YAXisComponentOption} from 'echarts';
 
 import {AreaChart} from 'sentry/components/charts/areaChart';
 import ErrorPanel from 'sentry/components/charts/errorPanel';
+import {CompactSelect} from 'sentry/components/core/compactSelect';
 import {Flex} from 'sentry/components/core/layout';
+import {Text} from 'sentry/components/core/text';
+import LoadingIndicator from 'sentry/components/loadingIndicator';
 import Placeholder from 'sentry/components/placeholder';
 import {IconWarning} from 'sentry/icons';
-import {t} from 'sentry/locale';
+import {t, tn} from 'sentry/locale';
 import {space} from 'sentry/styles/space';
 import type {DataCondition} from 'sentry/types/workflowEngine/dataConditions';
 import type {MetricDetectorConfig} from 'sentry/types/workflowEngine/detectors';
 import {
   AlertRuleSensitivity,
   AlertRuleThresholdType,
-  TimePeriod,
 } from 'sentry/views/alerts/rules/metric/types';
+import {getBackendDataset} from 'sentry/views/detectors/components/forms/metric/metricFormData';
 import type {DetectorDataset} from 'sentry/views/detectors/datasetConfig/types';
 import {useIncidentMarkers} from 'sentry/views/detectors/hooks/useIncidentMarkers';
 import {useMetricDetectorAnomalyPeriods} from 'sentry/views/detectors/hooks/useMetricDetectorAnomalyPeriods';
 import {useMetricDetectorSeries} from 'sentry/views/detectors/hooks/useMetricDetectorSeries';
 import {useMetricDetectorThresholdSeries} from 'sentry/views/detectors/hooks/useMetricDetectorThresholdSeries';
+import {useTimePeriodSelection} from 'sentry/views/detectors/hooks/useTimePeriodSelection';
 
 const CHART_HEIGHT = 180;
 
+function ChartError() {
+  return (
+    <Flex style={{height: CHART_HEIGHT}} justify="center" align="center">
+      <ErrorPanel>
+        <IconWarning color="gray300" size="lg" />
+        <div>{t('Error loading chart data')}</div>
+      </ErrorPanel>
+    </Flex>
+  );
+}
+
+function ChartLoading() {
+  return (
+    <Flex style={{height: CHART_HEIGHT}} justify="center" align="center">
+      <Placeholder height={`${CHART_HEIGHT - 20}px`} />
+    </Flex>
+  );
+}
+
 interface MetricDetectorChartProps {
   /**
    * The aggregate function to use (e.g., "avg(span.duration)")
@@ -61,10 +85,6 @@ interface MetricDetectorChartProps {
    * Used in anomaly detection
    */
   sensitivity: AlertRuleSensitivity | undefined;
-  /**
-   * The time period for the chart data (optional, defaults to 7d)
-   */
-  statsPeriod: TimePeriod;
   /**
    * Used in anomaly detection
    */
@@ -80,19 +100,24 @@ export function MetricDetectorChart({
   projectId,
   conditions,
   detectionType,
-  statsPeriod,
   comparisonDelta,
   sensitivity,
   thresholdType,
 }: MetricDetectorChartProps) {
-  const {series, comparisonSeries, isLoading, isError} = useMetricDetectorSeries({
+  const {selectedTimePeriod, setSelectedTimePeriod, timePeriodOptions} =
+    useTimePeriodSelection({
+      dataset: getBackendDataset(dataset),
+      interval,
+    });
+
+  const {series, comparisonSeries, isLoading, error} = useMetricDetectorSeries({
     dataset,
     aggregate,
     interval,
     query,
     environment,
     projectId,
-    statsPeriod,
+    statsPeriod: selectedTimePeriod,
     comparisonDelta,
   });
 
@@ -105,25 +130,26 @@ export function MetricDetectorChart({
 
   const isAnomalyDetection = detectionType === 'dynamic';
   const shouldFetchAnomalies =
-    isAnomalyDetection && !isLoading && !isError && series.length > 0;
+    isAnomalyDetection && !isLoading && !error && series.length > 0;
 
   // Fetch anomaly data when detection type is dynamic and series data is ready
   const {
     anomalyPeriods,
     isLoading: isLoadingAnomalies,
-    error: anomalyErrorObject,
+    error: anomalyError,
   } = useMetricDetectorAnomalyPeriods({
     series: shouldFetchAnomalies ? series : [],
+    isLoadingSeries: isLoading,
     dataset,
     aggregate,
     query,
     environment,
     projectId,
-    statsPeriod,
-    timePeriod: interval,
+    statsPeriod: selectedTimePeriod,
+    interval,
     thresholdType,
     sensitivity,
-    enabled: shouldFetchAnomalies,
+    enabled: isAnomalyDetection,
   });
 
   // Create anomaly marker rendering from pre-grouped anomaly periods
@@ -134,9 +160,6 @@ export function MetricDetectorChart({
     yAxisIndex: 1, // Use index 1 to avoid conflict with main chart axis
   });
 
-  const anomalyLoading = shouldFetchAnomalies ? isLoadingAnomalies : false;
-  const anomalyError = shouldFetchAnomalies ? anomalyErrorObject : null;
-
   // Calculate y-axis bounds to ensure all thresholds are visible
   const maxValue = useMemo(() => {
     // Get max from series data
@@ -219,40 +242,80 @@ export function MetricDetectorChart({
     return baseGrid;
   }, [isAnomalyDetection, anomalyMarkerResult.incidentMarkerGrid]);
 
-  if (isLoading || anomalyLoading) {
-    return (
-      <Flex style={{height: CHART_HEIGHT}} justify="center" align="center">
-        <Placeholder height={`${CHART_HEIGHT - 20}px`} />
-      </Flex>
-    );
-  }
-
-  if (isError || anomalyError) {
-    return (
-      <Flex style={{height: CHART_HEIGHT}} justify="center" align="center">
-        <ErrorPanel>
-          <IconWarning color="gray300" size="lg" />
-          <div>{t('Error loading chart data')}</div>
-        </ErrorPanel>
-      </Flex>
-    );
-  }
-
   return (
-    <AreaChart
-      isGroupedByDate
-      showTimeInTooltip
-      height={CHART_HEIGHT}
-      stacked={false}
-      series={series}
-      additionalSeries={additionalSeries}
-      yAxes={yAxes.length > 1 ? yAxes : undefined}
-      yAxis={yAxes.length === 1 ? yAxes[0] : undefined}
-      grid={grid}
-      xAxis={isAnomalyDetection ? anomalyMarkerResult.incidentMarkerXAxis : undefined}
-      ref={
-        isAnomalyDetection ? anomalyMarkerResult.connectIncidentMarkerChartRef : undefined
-      }
-    />
+    <ChartContainer>
+      {isLoading ? (
+        <ChartLoading />
+      ) : error ? (
+        <ChartError />
+      ) : (
+        <AreaChart
+          isGroupedByDate
+          showTimeInTooltip
+          height={CHART_HEIGHT}
+          stacked={false}
+          series={series}
+          additionalSeries={additionalSeries}
+          yAxes={yAxes.length > 1 ? yAxes : undefined}
+          yAxis={yAxes.length === 1 ? yAxes[0] : undefined}
+          grid={grid}
+          xAxis={isAnomalyDetection ? anomalyMarkerResult.incidentMarkerXAxis : undefined}
+          ref={
+            isAnomalyDetection
+              ? anomalyMarkerResult.connectIncidentMarkerChartRef
+              : undefined
+          }
+        />
+      )}
+      <ChartFooter>
+        {shouldFetchAnomalies ? (
+          <Flex align="center" gap="sm">
+            {isLoadingAnomalies ? (
+              <Fragment>
+                <AnomalyLoadingIndicator size={18} />
+                <Text variant="muted">{t('Loading anomalies...')}</Text>
+              </Fragment>
+            ) : anomalyError ? (
+              <Text variant="muted">{t('Error loading anomalies')}</Text>
+            ) : anomalyPeriods.length === 0 ? (
+              <Text variant="muted">{t('No anomalies found for this time period')}</Text>
+            ) : (
+              <Text variant="muted">
+                {tn('Found %s anomaly', 'Found %s anomalies', anomalyPeriods.length)}
+              </Text>
+            )}
+          </Flex>
+        ) : (
+          <div />
+        )}
+        <CompactSelect
+          size="sm"
+          options={timePeriodOptions}
+          value={selectedTimePeriod}
+          onChange={opt => setSelectedTimePeriod(opt.value)}
+          triggerProps={{
+            borderless: true,
+            prefix: t('Display'),
+          }}
+        />
+      </ChartFooter>
+    </ChartContainer>
   );
 }
+
+const ChartContainer = styled('div')`
+  max-width: 1440px;
+  border-top: 1px solid ${p => p.theme.border};
+`;
+
+const ChartFooter = styled('div')`
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: ${p => `${p.theme.space.sm} 0 ${p.theme.space.sm} ${p.theme.space.lg}`};
+  border-top: 1px solid ${p => p.theme.border};
+`;
+
+const AnomalyLoadingIndicator = styled(LoadingIndicator)`
+  margin: 0;
+`;

static/app/views/detectors/components/forms/metric/previewChart.tsx

@@ -1,16 +1,11 @@
 import {useMemo} from 'react';
-import styled from '@emotion/styled';
 
-import {CompactSelect} from 'sentry/components/core/compactSelect';
-import {t} from 'sentry/locale';
 import {MetricDetectorChart} from 'sentry/views/detectors/components/forms/metric/metricDetectorChart';
 import {
   createConditions,
-  getBackendDataset,
   METRIC_DETECTOR_FORM_FIELDS,
   useMetricDetectorFormField,
 } from 'sentry/views/detectors/components/forms/metric/metricFormData';
-import {useTimePeriodSelection} from 'sentry/views/detectors/hooks/useTimePeriodSelection';
 
 export function MetricDetectorPreviewChart() {
   // Get all the form fields needed for the chart
@@ -47,12 +42,6 @@ export function MetricDetectorPreviewChart() {
     METRIC_DETECTOR_FORM_FIELDS.thresholdType
   );
 
-  const {selectedTimePeriod, setSelectedTimePeriod, timePeriodOptions} =
-    useTimePeriodSelection({
-      dataset: getBackendDataset(dataset),
-      interval,
-    });
-
   // Create condition group from form data using the helper function
   const conditions = useMemo(() => {
     // Wait for a condition value to be defined
@@ -69,46 +58,18 @@ export function MetricDetectorPreviewChart() {
   }, [conditionType, conditionValue, initialPriorityLevel, highThreshold, detectionType]);
 
   return (
-    <ChartContainer>
-      <MetricDetectorChart
-        dataset={dataset}
-        aggregate={aggregateFunction}
-        interval={interval}
-        query={query}
-        environment={environment}
-        projectId={projectId}
-        conditions={conditions}
-        detectionType={detectionType}
-        statsPeriod={selectedTimePeriod}
-        comparisonDelta={detectionType === 'percent' ? conditionComparisonAgo : undefined}
-        sensitivity={sensitivity}
-        thresholdType={thresholdType}
-      />
-      <ChartFooter>
-        <CompactSelect
-          size="sm"
-          options={timePeriodOptions}
-          value={selectedTimePeriod}
-          onChange={opt => setSelectedTimePeriod(opt.value)}
-          triggerProps={{
-            borderless: true,
-            prefix: t('Display'),
-          }}
-        />
-      </ChartFooter>
-    </ChartContainer>
+    <MetricDetectorChart
+      dataset={dataset}
+      aggregate={aggregateFunction}
+      interval={interval}
+      query={query}
+      environment={environment}
+      projectId={projectId}
+      conditions={conditions}
+      detectionType={detectionType}
+      comparisonDelta={detectionType === 'percent' ? conditionComparisonAgo : undefined}
+      sensitivity={sensitivity}
+      thresholdType={thresholdType}
+    />
   );
 }
-
-const ChartContainer = styled('div')`
-  max-width: 1440px;
-  border-top: 1px solid ${p => p.theme.border};
-`;
-
-const ChartFooter = styled('div')`
-  display: flex;
-  justify-content: flex-end;
-  align-items: center;
-  padding: ${p => `${p.theme.space.sm} 0`};
-  border-top: 1px solid ${p => p.theme.border};
-`;

static/app/views/detectors/components/forms/metric/useIntervalChoices.tsx

@@ -2,8 +2,9 @@ import {useMemo} from 'react';
 
 import getDuration from 'sentry/utils/duration/getDuration';
 import {TimeWindow} from 'sentry/views/alerts/rules/metric/types';
-import {type MetricDetectorFormData} from 'sentry/views/detectors/components/forms/metric/metricFormData';
+import type {MetricDetectorFormData} from 'sentry/views/detectors/components/forms/metric/metricFormData';
 import {DetectorDataset} from 'sentry/views/detectors/datasetConfig/types';
+import {isEapDataset} from 'sentry/views/detectors/datasetConfig/utils/isEapDataset';
 
 const baseIntervals: TimeWindow[] = [
   TimeWindow.ONE_MINUTE,
@@ -41,9 +42,6 @@ export function useIntervalChoices({dataset, detectionType}: UseIntervalChoicesP
     // 4. Everything else → All intervals allowed
     const shouldExcludeSubHour = dataset === DetectorDataset.RELEASES;
     const isDynamicDetection = detectionType === 'dynamic';
-    // EAP-derived datasets (spans, logs) exclude 1-minute intervals
-    const isEAPDerivedDataset =
-      dataset === DetectorDataset.SPANS || dataset === DetectorDataset.LOGS;
 
     const filteredIntervals = baseIntervals.filter(timeWindow => {
       if (shouldExcludeSubHour) {
@@ -52,7 +50,8 @@ export function useIntervalChoices({dataset, detectionType}: UseIntervalChoicesP
       if (isDynamicDetection) {
         return dynamicIntervalChoices.includes(timeWindow);
       }
-      if (isEAPDerivedDataset) {
+      // EAP-derived datasets (spans, logs) exclude 1-minute intervals
+      if (isEapDataset(dataset)) {
         return timeWindow !== TimeWindow.ONE_MINUTE;
       }
       return true;

static/app/views/detectors/datasetConfig/utils/isEapDataset.tsx

@@ -0,0 +1,5 @@
+import {DetectorDataset} from 'sentry/views/detectors/datasetConfig/types';
+
+export function isEapDataset(dataset: DetectorDataset): boolean {
+  return dataset === DetectorDataset.SPANS || dataset === DetectorDataset.LOGS;
+}