Build the Review Queue chart's actual trace from per-second samples, not lap averages

A lap can span many minutes, so plotting one flat value per lap hid real
within-lap variation -- a single-lap hill repeat rendered as a dead-flat
line despite the pace/HR swinging throughout it. The actual pace/HR trace
now comes from activity_samples (per-second telemetry) when available,
looking up each sample's enclosing lap only for the target band/phase
color. Falls back to the previous lap-stepped rendering when an activity
has no samples.

backend/internal/api/api_test.go

@@ -170,6 +170,12 @@ func TestReviewQueueResolve(t *testing.T) {
 	}); err != nil {
 		t.Fatalf("ReplaceLaps: %v", err)
 	}
+	hr := 150.0
+	if err := db.ReplaceActivitySamples(ctx, activityID, []store.Sample{
+		{ElapsedSeconds: 0, HeartRate: &hr},
+	}); err != nil {
+		t.Fatalf("ReplaceActivitySamples: %v", err)
+	}
 
 	router := s.Router()
 	rec := doJSON(t, router, http.MethodGet, "/api/review-queue/", nil)
@@ -185,6 +191,10 @@ func TestReviewQueueResolve(t *testing.T) {
 	if len(laps) != 1 {
 		t.Fatalf("expected 1 lap in review queue item, got %d: %s", len(laps), rec.Body.String())
 	}
+	samples, _ := queue[0]["samples"].([]any)
+	if len(samples) != 1 {
+		t.Fatalf("expected 1 sample in review queue item, got %d: %s", len(samples), rec.Body.String())
+	}
 
 	rec = doJSON(t, router, http.MethodPost, "/api/review-queue/"+itoa(activityID)+"/resolve", map[string]any{"workout_kind_id": kindID})
 	if rec.Code != http.StatusOK {

backend/internal/api/review.go

@@ -22,6 +22,7 @@ func (s *Server) handleReviewQueue(w http.ResponseWriter, r *http.Request) {
 		store.KindAssignment
 		Activity store.Activity `json:"activity"`
 		Laps     []store.Lap    `json:"laps"`
+		Samples  []store.Sample `json:"samples"`
 	}
 	items := make([]item, 0, len(queue))
 	for _, a := range queue {
@@ -38,7 +39,15 @@ func (s *Server) handleReviewQueue(w http.ResponseWriter, r *http.Request) {
 			writeError(w, http.StatusInternalServerError, err.Error())
 			return
 		}
-		items = append(items, item{KindAssignment: a, Activity: activity, Laps: laps})
+		// Per-second telemetry, not just per-lap averages, so the chart can
+		// show real within-lap variation instead of one flat segment per lap
+		// (most activities only have a handful of laps).
+		samples, err := s.DB.SamplesForActivity(r.Context(), a.ActivityID)
+		if err != nil {
+			writeError(w, http.StatusInternalServerError, err.Error())
+			return
+		}
+		items = append(items, item{KindAssignment: a, Activity: activity, Laps: laps, Samples: samples})
 	}
 
 	// Most recent run first, by when the activity actually happened (not

frontend/src/components/charts/ExpectedVsActualChart.tsx

@@ -1,5 +1,5 @@
 import { Area, AreaChart, ReferenceArea, ResponsiveContainer, Tooltip, XAxis, YAxis } from "recharts";
-import type { Lap } from "../../types/api";
+import type { Lap, Sample } from "../../types/api";
 
 function paceSecPerKm(mps: number | null): number | null {
   if (mps == null || mps <= 0) return null;
@@ -55,6 +55,14 @@ const PHASE_LABELS: Record<string, string> = {
   COOLDOWN: "Cool-down",
 };
 
+interface LapWindow {
+  start: number; // minutes, elapsed since activity start
+  end: number;
+  targetPaceRange: [number, number] | null;
+  targetHRRange: [number, number] | null;
+  color?: string;
+}
+
 interface Point {
   t: number;
   actualPace: number | null;
@@ -63,27 +71,8 @@ interface Point {
   targetHRRange: [number, number] | null;
 }
 
-function rangeTooltipFormatter(rangeLabel: string, formatValue: (v: number) => string) {
+function buildLapWindows(laps: Lap[]): LapWindow[] {
-  return (value: unknown, name: unknown): [string, string] => {
+  const windows: LapWindow[] = [];
-    if (Array.isArray(value)) return [`${formatValue(value[0])}–${formatValue(value[1])}`, rangeLabel];
-    return [formatValue(Number(value)), String(name)];
-  };
-}
-
-// Shows each lap's actual pace/HR over elapsed time for every activity that
-// has laps, with the workout's warm-up/effort/recovery/cool-down structure
-// shaded behind it. The expected band from a structured Garmin workout (see
-// backend's alignWorkoutTargets) is layered on top when available -- most
-// activities aren't from a structured workout with target zones, so absence
-// of that band is the common case, not an error.
-export function ExpectedVsActualChart({ laps }: { laps: Lap[] }) {
-  if (laps.length === 0) return null;
-
-  const hasPaceTarget = laps.some((l) => l.TargetPaceLowMps != null && l.TargetPaceHighMps != null);
-  const hasHRTarget = laps.some((l) => l.TargetHRLowBpm != null && l.TargetHRHighBpm != null);
-
-  const points: Point[] = [];
-  const phaseBands: Array<{ x1: number; x2: number; color: string }> = [];
   let elapsedMin = 0;
   for (const l of laps) {
     const start = elapsedMin;
@@ -94,23 +83,86 @@ export function ExpectedVsActualChart({ laps }: { laps: Lap[] }) {
     const paceLow = l.TargetPaceHighMps != null ? paceSecPerKm(l.TargetPaceHighMps) : null;
     const paceHigh = l.TargetPaceLowMps != null ? paceSecPerKm(l.TargetPaceLowMps) : null;
 
-    points.push({
+    windows.push({
-      t: start,
+      start,
-      actualPace: paceSecPerKm(l.AvgSpeedMps),
+      end: elapsedMin,
       targetPaceRange: paceLow != null && paceHigh != null ? [paceLow, paceHigh] : null,
-      actualHR: l.AvgHR,
       targetHRRange: l.TargetHRLowBpm != null && l.TargetHRHighBpm != null ? [l.TargetHRLowBpm, l.TargetHRHighBpm] : null,
+      color: PHASE_COLORS[l.IntensityType],
     });
-
-    const color = PHASE_COLORS[l.IntensityType];
-    if (color) phaseBands.push({ x1: start, x2: elapsedMin, color });
   }
-  // Closing point so the last lap's step extends visually to the end.
+  return windows;
-  points.push({ ...points[points.length - 1], t: elapsedMin });
+}
+
+// Finds the lap window covering elapsed time t (minutes), for attaching a
+// lap's target band to a specific sample. Lap count is small (rarely more
+// than a few dozen), so a linear scan is simplest and fast enough.
+function lapWindowAt(t: number, windows: LapWindow[]): LapWindow | undefined {
+  return windows.find((w) => t >= w.start && t < w.end) ?? windows[windows.length - 1];
+}
+
+function rangeTooltipFormatter(rangeLabel: string, formatValue: (v: number) => string) {
+  return (value: unknown, name: unknown): [string, string] => {
+    if (Array.isArray(value)) return [`${formatValue(value[0])}–${formatValue(value[1])}`, rangeLabel];
+    return [formatValue(Number(value)), String(name)];
+  };
+}
+
+// Shows actual pace/HR over elapsed time for every activity that has laps,
+// with the workout's warm-up/effort/recovery/cool-down structure shaded
+// behind it. The expected band from a structured Garmin workout (see
+// backend's alignWorkoutTargets) is layered on top when available -- most
+// activities aren't from a structured workout with target zones, so absence
+// of that band is the common case, not an error.
+//
+// The actual trace is built from per-second samples when available, not lap
+// averages: a lap can span many minutes, so plotting one flat value per lap
+// would hide real within-lap variation (a single-lap hill repeat, for
+// example, would otherwise render as a dead-flat line despite the pace/HR
+// swinging throughout it).
+export function ExpectedVsActualChart({ laps, samples }: { laps: Lap[]; samples: Sample[] }) {
+  if (laps.length === 0) return null;
+
+  const hasPaceTarget = laps.some((l) => l.TargetPaceLowMps != null && l.TargetPaceHighMps != null);
+  const hasHRTarget = laps.some((l) => l.TargetHRLowBpm != null && l.TargetHRHighBpm != null);
+
+  const lapWindows = buildLapWindows(laps);
+  const lapTotalMin = lapWindows[lapWindows.length - 1].end;
+
+  let points: Point[];
+  let elapsedMin: number;
+  if (samples.length > 0) {
+    points = samples.map((s) => {
+      const t = s.ElapsedSeconds / 60;
+      const w = lapWindowAt(t, lapWindows);
+      return {
+        t,
+        actualPace: paceSecPerKm(s.SpeedMps),
+        targetPaceRange: w?.targetPaceRange ?? null,
+        actualHR: s.HeartRate,
+        targetHRRange: w?.targetHRRange ?? null,
+      };
+    });
+    elapsedMin = Math.max(lapTotalMin, points[points.length - 1].t);
+  } else {
+    // Fallback for activities without per-second telemetry: one flat step
+    // per lap, same as before samples were available.
+    points = lapWindows.map((w) => ({
+      t: w.start,
+      actualPace: null,
+      targetPaceRange: w.targetPaceRange,
+      actualHR: null,
+      targetHRRange: w.targetHRRange,
+    }));
+    points.push({ ...points[points.length - 1], t: lapTotalMin });
+    elapsedMin = lapTotalMin;
+  }
+
+  const phaseBands = lapWindows.filter((w) => w.color).map((w) => ({ x1: w.start, x2: w.end, color: w.color! }));
+  const phasesPresent = [...new Set(laps.map((l) => l.IntensityType).filter((t) => PHASE_COLORS[t]))];
 
   const paceDomain = paddedDomain(points.flatMap((p) => [p.actualPace, ...(p.targetPaceRange ?? [])]), 10);
   const hrDomain = paddedDomain(points.flatMap((p) => [p.actualHR, ...(p.targetHRRange ?? [])]), 5);
-  const phasesPresent = [...new Set(laps.map((l) => l.IntensityType).filter((t) => PHASE_COLORS[t]))];
 
   const paceTooltipFormatter = rangeTooltipFormatter("Target range", (v) => `${formatPace(v)}`);
   const hrTooltipFormatter = rangeTooltipFormatter("Target range", (v) => `${Math.round(v)} bpm`);
@@ -140,7 +192,7 @@ export function ExpectedVsActualChart({ laps }: { laps: Lap[] }) {
             {hasPaceTarget && (
               <Area type="stepAfter" dataKey="targetPaceRange" stroke="none" fill="#9aa0ab" fillOpacity={0.25} isAnimationActive={false} name="Target range" connectNulls />
             )}
-            <Area type="monotone" dataKey="actualPace" stroke={PACE_COLOR} strokeWidth={2} fill={PACE_COLOR} fillOpacity={0.3} dot={{ r: 2 }} isAnimationActive={false} name="Actual" connectNulls />
+            <Area type="monotone" dataKey="actualPace" stroke={PACE_COLOR} strokeWidth={2} fill={PACE_COLOR} fillOpacity={0.3} dot={false} isAnimationActive={false} name="Actual" connectNulls />
           </AreaChart>
         </ResponsiveContainer>
       </div>
@@ -157,7 +209,7 @@ export function ExpectedVsActualChart({ laps }: { laps: Lap[] }) {
             {hasHRTarget && (
               <Area type="stepAfter" dataKey="targetHRRange" stroke="none" fill="#9aa0ab" fillOpacity={0.25} isAnimationActive={false} name="Target range" connectNulls />
             )}
-            <Area type="monotone" dataKey="actualHR" stroke={HR_COLOR} strokeWidth={2} fill={HR_COLOR} fillOpacity={0.3} dot={{ r: 2 }} isAnimationActive={false} name="Actual" connectNulls />
+            <Area type="monotone" dataKey="actualHR" stroke={HR_COLOR} strokeWidth={2} fill={HR_COLOR} fillOpacity={0.3} dot={false} isAnimationActive={false} name="Actual" connectNulls />
           </AreaChart>
         </ResponsiveContainer>
       </div>

frontend/src/pages/ReviewQueue.tsx

@@ -132,7 +132,7 @@ export function ReviewQueue() {
                   </p>
                 )}
 
-                <ExpectedVsActualChart laps={item.laps} />
+                <ExpectedVsActualChart laps={item.laps} samples={item.samples} />
 
                 <div className="review-item-actions">
                   {manuallyAssignableKinds.map((k) => (

frontend/src/types/api.ts

@@ -62,6 +62,15 @@ export interface Lap {
   RawJSON: string;
 }
 
+export interface Sample {
+  ElapsedSeconds: number;
+  TimestampMs: number;
+  HeartRate: number | null;
+  SpeedMps: number | null;
+  DistanceM: number | null;
+  ElevationM: number | null;
+}
+
 export interface ActivityListItem extends Activity {
   workout_kind_id: number | null;
   workout_kind_name: string | null;
@@ -128,6 +137,7 @@ export interface KindAssignment {
 export interface ReviewQueueItem extends KindAssignment {
   activity: Activity;
   laps: Lap[];
+  samples: Sample[];
 }
 
 export interface ProgressionPoint {