fix: broaden vma estimate history

web/app/(app)/progression/page.tsx

@@ -1,5 +1,5 @@
 import type { Metadata } from "next"
-import { startOfWeek, subMonths, subWeeks, format } from "date-fns"
+import { startOfWeek, subYears, subWeeks, format } from "date-fns"
 import { fr } from "date-fns/locale"
 import { LineChart } from "lucide-react"
 
@@ -36,14 +36,14 @@ export default async function ProgressionPage() {
   if (!user) return null
 
   const now = new Date()
-  const sixMonthsAgo = subMonths(now, 6)
+  const vmaHistoryStart = subYears(now, 4)
 
   const [activitiesRes, zonesRes, prActivitiesRes] = await Promise.all([
     supabase
       .from("activities")
-      .select("provider, provider_activity_id, sport_type, start_date, duration_sec, moving_time_sec, distance_m, elevation_gain_m, average_heartrate, max_heartrate, time_in_zones_json")
+      .select("provider, provider_activity_id, sport_type, start_date, duration_sec, moving_time_sec, distance_m, elevation_gain_m, average_heartrate, max_heartrate, max_speed, time_in_zones_json")
       .eq("user_id", user.id)
-      .gte("start_date", sixMonthsAgo.toISOString())
+      .gte("start_date", vmaHistoryStart.toISOString())
       .order("start_date"),
     supabase
       .from("hr_zones")

web/lib/compute/vma-estimate.ts

@@ -7,6 +7,7 @@ export type VmaActivity = {
   elevation_gain_m: number | null
   average_heartrate: number | null
   max_heartrate: number | null
+  max_speed?: number | null
 }
 
 export type VmaZone = {

web/lib/server/strava/vma.ts

@@ -30,11 +30,17 @@ function candidateActivities(activities: VmaStravaActivity[]): VmaStravaActivity
       return distanceKm >= 2 && durationSec >= 600 && elevationPerKm <= 35
     })
     .sort((a, b) => {
-      const speedA = (a.distance_m ?? 0) / Math.max(1, a.moving_time_sec ?? a.duration_sec ?? 1)
-      const speedB = (b.distance_m ?? 0) / Math.max(1, b.moving_time_sec ?? b.duration_sec ?? 1)
-      return speedB - speedA
+      const score = (activity: VmaStravaActivity) => {
+        const avgSpeed = ((activity.distance_m ?? 0) / Math.max(1, activity.moving_time_sec ?? activity.duration_sec ?? 1)) * 3.6
+        const maxSpeed = (activity.max_speed ?? 0) * 3.6
+        const hrScore = Math.max(activity.max_heartrate ?? 0, activity.average_heartrate ?? 0) / 10
+        const daysAgo = Math.max(0, (Date.now() - new Date(activity.start_date).getTime()) / 86_400_000)
+        const recency = Math.max(0, 4 - daysAgo / 180)
+        return Math.max(avgSpeed, maxSpeed * 0.82) + hrScore + recency
+      }
+      return score(b) - score(a)
     })
-    .slice(0, 6)
+    .slice(0, 12)
 }
 
 async function fetchStreams(token: string, providerActivityId: string): Promise<StreamPayload | null> {
@@ -58,23 +64,20 @@ export async function getVmaStreamEfforts(
   token: string,
   activities: VmaStravaActivity[],
 ): Promise<VmaStreamEffort[]> {
-  const efforts: VmaStreamEffort[] = []
-  for (const activity of candidateActivities(activities)) {
+  const results = await Promise.all(candidateActivities(activities).map(async (activity) => {
     const payload = await fetchStreams(token, activity.provider_activity_id as string)
     const time = payload?.time?.data
     const distance = payload?.distance?.data
-    if (!time || !distance || time.length !== distance.length) continue
+    if (!time || !distance || time.length !== distance.length) return []
 
-    efforts.push(
-      ...bestStreamEfforts({
-        time,
-        distance,
-        velocity: payload?.velocity_smooth?.data,
-        heartrate: payload?.heartrate?.data,
-        altitude: payload?.altitude?.data,
-        date: activity.start_date,
-      }),
-    )
-  }
-  return efforts
+    return bestStreamEfforts({
+      time,
+      distance,
+      velocity: payload?.velocity_smooth?.data,
+      heartrate: payload?.heartrate?.data,
+      altitude: payload?.altitude?.data,
+      date: activity.start_date,
+    })
+  }))
+  return results.flat()
 }