feat(anomaly): add seer anomaly thresholds to metric monitor graph

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

@@ -29,6 +29,7 @@ import {
   useIncidentMarkers,
   type IncidentPeriod,
 } from 'sentry/views/detectors/hooks/useIncidentMarkers';
+import {useMetricDetectorAnomalyThresholds} from 'sentry/views/detectors/hooks/useMetricDetectorAnomalyThresholds';
 import {useMetricDetectorSeries} from 'sentry/views/detectors/hooks/useMetricDetectorSeries';
 import {useMetricDetectorThresholdSeries} from 'sentry/views/detectors/hooks/useMetricDetectorThresholdSeries';
 import {useOpenPeriods} from 'sentry/views/detectors/hooks/useOpenPeriods';
@@ -155,6 +156,7 @@ export function useMetricDetectorChart({
 }: UseMetricDetectorChartProps): UseMetricDetectorChartResult {
   const navigate = useNavigate();
   const location = useLocation();
+
   const detectionType = detector.config.detectionType;
   const comparisonDelta =
     detectionType === 'percent' ? detector.config.comparisonDelta : undefined;
@@ -177,13 +179,48 @@ export function useMetricDetectorChart({
     end,
   });
 
+  const metricTimestamps = useMemo(() => {
+    const firstSeries = series[0];
+    if (!firstSeries?.data.length) {
+      return {start: undefined, end: undefined};
+    }
+    const data = firstSeries.data;
+    const firstPoint = data[0];
+    const lastPoint = data[data.length - 1];
+
+    if (!firstPoint || !lastPoint) {
+      return {start: undefined, end: undefined};
+    }
+
+    const firstTimestamp =
+      typeof firstPoint.name === 'number'
+        ? firstPoint.name
+        : new Date(firstPoint.name).getTime();
+    const lastTimestamp =
+      typeof lastPoint.name === 'number'
+        ? lastPoint.name
+        : new Date(lastPoint.name).getTime();
+
+    return {
+      start: Math.floor(firstTimestamp / 1000),
+      end: Math.floor(lastTimestamp / 1000),
+    };
+  }, [series]);
+
   const {maxValue: thresholdMaxValue, additionalSeries: thresholdAdditionalSeries} =
     useMetricDetectorThresholdSeries({
       conditions: detector.conditionGroup?.conditions,
       detectionType,
       comparisonSeries,
     });
 
+  const {anomalyThresholdSeries} = useMetricDetectorAnomalyThresholds({
+    detectorId: detector.id,
+    startTimestamp: metricTimestamps.start,
+    endTimestamp: metricTimestamps.end,
+    series,
+  });
+
   const incidentPeriods = useMemo(() => {
     return openPeriods.flatMap<IncidentPeriod>(period => [
       createTriggerIntervalMarkerData({
@@ -247,13 +284,17 @@ export function useMetricDetectorChart({
   }, [series, thresholdMaxValue]);
 
   const additionalSeries = useMemo(() => {
-    const baseSeries = [...thresholdAdditionalSeries];
+    const baseSeries = [...thresholdAdditionalSeries, ...anomalyThresholdSeries];
 
     // Line series not working well with the custom series type
     baseSeries.push(openPeriodMarkerResult.incidentMarkerSeries as any);
 
     return baseSeries;
-  }, [thresholdAdditionalSeries, openPeriodMarkerResult.incidentMarkerSeries]);
+  }, [
+    thresholdAdditionalSeries,
+    anomalyThresholdSeries,
+    openPeriodMarkerResult.incidentMarkerSeries,
+  ]);
 
   const yAxes = useMemo(() => {
     const {formatYAxisLabel} = getDetectorChartFormatters({

static/app/views/detectors/hooks/useMetricDetectorAnomalyThresholds.tsx

@@ -0,0 +1,173 @@
+import {useMemo} from 'react';
+import {useTheme} from '@emotion/react';
+import type {LineSeriesOption} from 'echarts';
+
+import LineSeries from 'sentry/components/charts/series/lineSeries';
+import type {Series} from 'sentry/types/echarts';
+import {useApiQuery} from 'sentry/utils/queryClient';
+import type RequestError from 'sentry/utils/requestError/requestError';
+import useOrganization from 'sentry/utils/useOrganization';
+
+interface AnomalyThresholdDataPoint {
+  external_alert_id: number;
+  timestamp: number;
+  value: number;
+  yhat_lower: number;
+  yhat_upper: number;
+}
+
+interface AnomalyThresholdDataResponse {
+  data: AnomalyThresholdDataPoint[];
+}
+
+interface UseMetricDetectorAnomalyThresholdsProps {
+  detectorId: string;
+  endTimestamp?: number;
+  series?: Series[];
+  startTimestamp?: number;
+}
+
+interface UseMetricDetectorAnomalyThresholdsResult {
+  anomalyThresholdSeries: LineSeriesOption[];
+  error: RequestError | null;
+  isLoading: boolean;
+}
+
+/**
+ * Fetches anomaly detection threshold data and transforms it into chart series
+ */
+export function useMetricDetectorAnomalyThresholds({
+  detectorId,
+  startTimestamp,
+  endTimestamp,
+  series = [],
+}: UseMetricDetectorAnomalyThresholdsProps): UseMetricDetectorAnomalyThresholdsResult {
+  const organization = useOrganization();
+  const theme = useTheme();
+
+  const hasAnomalyDataFlag = organization.features.includes(
+    'anomaly-detection-threshold-data'
+  );
+
+  const {
+    data: anomalyData,
+    isLoading,
+    error,
+  } = useApiQuery<AnomalyThresholdDataResponse>(
+    [
+      `/organizations/${organization.slug}/detectors/${detectorId}/anomaly-data/`,
+      {
+        query: {
+          start: startTimestamp,
+          end: endTimestamp,
+        },
+      },
+    ],
+    {
+      staleTime: 0,
+      enabled:
+        hasAnomalyDataFlag && Boolean(detectorId && startTimestamp && endTimestamp),
+    }
+  );
+
+  const anomalyThresholdSeries = useMemo(() => {
+    if (!anomalyData?.data || anomalyData.data.length === 0 || series.length === 0) {
+      return [];
+    }
+
+    const data = anomalyData.data;
+    const metricData = series[0]?.data;
+
+    if (!metricData || metricData.length === 0) {
+      return [];
+    }
+
+    const anomalyMap = new Map(data.map(point => [point.timestamp * 1000, point]));
+
+    const upperBoundData: Array<[number, number]> = [];
+    const lowerBoundData: Array<[number, number]> = [];
+    const seerValueData: Array<[number, number]> = [];
+
+    metricData.forEach(metricPoint => {
+      const timestamp =
+        typeof metricPoint.name === 'number'
+          ? metricPoint.name
+          : new Date(metricPoint.name).getTime();
+      const anomalyPoint = anomalyMap.get(timestamp);
+
+      if (anomalyPoint) {
+        upperBoundData.push([timestamp, anomalyPoint.yhat_upper]);
+        lowerBoundData.push([timestamp, anomalyPoint.yhat_lower]);
+        seerValueData.push([timestamp, anomalyPoint.value]);
+      }
+    });
+
+    const lineColor = theme.red300;
+    const seerValueColor = theme.yellow300;
+
+    return [
+      LineSeries({
+        name: 'Upper Threshold',
+        data: upperBoundData,
+        lineStyle: {
+          color: lineColor,
+          type: 'dashed',
+          width: 1,
+          dashOffset: 0,
+        },
+        areaStyle: {
+          color: lineColor,
+          opacity: 0.05,
+          origin: 'end',
+        },
+        itemStyle: {color: lineColor},
+        animation: false,
+        animationThreshold: 1,
+        animationDuration: 0,
+        symbol: 'none',
+        connectNulls: true,
+        step: false,
+      }),
+      LineSeries({
+        name: 'Lower Threshold',
+        data: lowerBoundData,
+        lineStyle: {
+          color: lineColor,
+          type: 'dashed',
+          width: 1,
+          dashOffset: 0,
+        },
+        areaStyle: {
+          color: lineColor,
+          opacity: 0.05,
+          origin: 'start',
+        },
+        itemStyle: {color: lineColor},
+        animation: false,
+        animationThreshold: 1,
+        animationDuration: 0,
+        symbol: 'none',
+        connectNulls: true,
+        step: false,
+      }),
+      LineSeries({
+        name: 'Seer Historical Value',
+        data: seerValueData,
+        lineStyle: {
+          color: seerValueColor,
+          type: 'solid',
+          width: 2,
+        },
+        itemStyle: {color: seerValueColor},
+        animation: false,
+        animationThreshold: 1,
+        animationDuration: 0,
+        symbol: 'circle',
+        symbolSize: 4,
+        connectNulls: true,
+      }),
+    ];
+  }, [anomalyData, series, theme]);
+
+  return {anomalyThresholdSeries, isLoading, error};
+}