acwr curve render if enough points

src/main.ts

@@ -355,9 +355,14 @@ function renderCharts(activities: Activity[], targetAcwr: number, predictToday:
         }
         endDate.setHours(23, 59, 59, 999);
 
-        // Calculate start date as 1.5 times chronic workload period (28 days) before end date
+        // Calculate start date: use longer history for activities with less frequency
+        // Base: 2x chronic period (56 days), extended up to 3x (84 days) for sparse activities
+        const activityFrequency = activities.length / Math.max(1,
+            (endDate.getTime() - activities[0].date.getTime()) / (1000 * 60 * 60 * 24));
+        const multiplier = activityFrequency < 0.2 ? 3 : activityFrequency < 0.5 ? 2.5 : 2;
+
         const startDate = new Date(endDate);
-        startDate.setDate(startDate.getDate() - Math.floor(28 * 1.5));
+        startDate.setDate(startDate.getDate() - Math.floor(28 * multiplier));
         startDate.setHours(0, 0, 0, 0);
 
         dateRange = {

src/utils/metricAcwr.ts

@@ -334,32 +334,19 @@ export function calculateMetricACWR(
         const chronicAvg = chronicCount > 0 ? chronicSum / 28 : null;
         average28d.push(chronicAvg);
 
-        // Calculate ACWR (need at least 28 days of data)
-        if (index < 27) {
-            acwr.push(null);
-            return;
-        }
-
-        // For ACWR, use the full 28-day sum (not average)
-        let acwrChronicSum = 0;
-        for (let i = index - 27; i <= index; i++) {
-            const checkDateStr = formatDateLocal(allDates[i]);
-            const val = dailyValues.get(checkDateStr);
-            if (val !== undefined) {
-                acwrChronicSum += val;
-            }
-        }
-        const acwrChronicAvg = acwrChronicSum / 28;
-
-        // Calculate ACWR
-        if (acwrChronicAvg > 0 && acuteAvg !== null) {
-            acwr.push(acuteAvg / acwrChronicAvg);
+        // Calculate ACWR with smart requirements:
+        // - At the beginning (first 28 days): need at least 8 data points to avoid unrealistic spikes
+        // - After that: calculate whenever both averages are available (minimum 4 data points)
+        // This avoids spikes at the start while ensuring the end is always visible
+        const needsMinimumData = index < 28;
+        const hasEnoughData = needsMinimumData ? chronicCount >= 8 : chronicCount >= 4;
+
+        if (hasEnoughData && acuteAvg !== null && chronicAvg !== null && chronicAvg > 0) {
+            acwr.push(acuteAvg / chronicAvg);
         } else {
             acwr.push(null);
         }
-    });
-
-    // Calculate tomorrow's required value to reach ACWR
+    });    // Calculate tomorrow's required value to reach ACWR
     let targetTomorrowValue: number | null = null;
 
     if (allDates.length >= 28) {