feat: update app version to 0.9s and enhance body history visualization

- Bumped application version to 0.9s and updated changelog with new features.
- Introduced `_weight_trend_kpi` function to analyze weight trends and provide verdicts based on historical data.
- Updated `get_body_history_viz_bundle` to include the new weight trend KPI, improving insights on weight changes.
- Refactored the History component to utilize the new trend KPI, enhancing user experience with clearer weight trend interpretations.

backend/data_layer/body_viz.py

@@ -48,6 +48,31 @@ def _iso(d: Any) -> Optional[str]:
     return str(d)[:10]
 
 
+def _weight_trend_kpi(trend_periods: List[Dict[str, Any]]) -> Dict[str, str]:
+    """
+    Kurzurteil Gewichtstrend (Schwelle ±0,25 kg, Priorität 90T → 30T → erste Periode).
+    Eine Quelle mit dem Verlauf-Bundle — kein paralleles Frontend-Routing mehr.
+    """
+    if not trend_periods:
+        return {"verdict": "Stabil", "status": "good"}
+    t90 = next((t for t in trend_periods if t.get("label") == "90T"), None)
+    t30 = next((t for t in trend_periods if t.get("label") == "30T"), None)
+    d: Optional[float] = None
+    if t90 is not None and t90.get("diff_kg") is not None:
+        d = float(t90["diff_kg"])
+    elif t30 is not None and t30.get("diff_kg") is not None:
+        d = float(t30["diff_kg"])
+    elif trend_periods[0].get("diff_kg") is not None:
+        d = float(trend_periods[0]["diff_kg"])
+    else:
+        return {"verdict": "Stabil", "status": "good"}
+    if d < -0.25:
+        return {"verdict": "Trend ↓", "status": "good"}
+    if d > 0.25:
+        return {"verdict": "Trend ↑", "status": "warn"}
+    return {"verdict": "Stabil", "status": "good"}
+
+
 def get_body_history_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
     """
     Returns chart-ready series and interpretation tiles for the body history tab.
@@ -437,6 +462,7 @@ def get_body_history_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
             "min_kg": min_w,
             "max_kg": max_w,
             "trend_periods": trend_periods,
+            "trend_kpi": _weight_trend_kpi(trend_periods),
             "data_points": len(w_points),
             "related_placeholder_keys": [
                 "weight_aktuell",

backend/version.py

@@ -7,7 +7,7 @@ Semantic Versioning: MAJOR.MINOR.PATCH
 - PATCH: Bugfix, kleine Änderung, Refactor
 """
 
-APP_VERSION = "0.9r"
+APP_VERSION = "0.9s"
 BUILD_DATE = "2026-04-20"
 DB_SCHEMA_VERSION = "20260409c"  # 048/049 vitals_baseline.source csv + SAVEPOINT Import
 
@@ -36,6 +36,15 @@ MODULE_VERSIONS = {
 }
 
 CHANGELOG = [
+    {
+        "version": "0.9s",
+        "date": "2026-04-20",
+        "changes": [
+            "Phase B: body-history-viz weight.trend_kpi (Gewichtstrend-Urteil im data_layer/body_viz)",
+            "History Körper-KPIs: keine Client-Schwellen für WHR/WHtR; KF%-Farbe über Interpretations-Status",
+            "Kcal vs. Gewicht: kein Frontend-TDEE-Fallback; Hinweis bei <5 gemeinsamen Tagen",
+        ],
+    },
     {
         "version": "0.9r",
         "date": "2026-04-20",

frontend/src/pages/History.jsx

@@ -10,7 +10,6 @@ import {
 import { ChevronRight, Brain, ChevronDown, ChevronUp, Trash2 } from 'lucide-react'
 import { api } from '../utils/api'
 import { photoMonthKey, photoSortKey, formatPhotoCaption } from '../utils/photoDisplay'
-import { getBfCategory } from '../utils/calc'
 import { getStatusColor, getStatusBg } from '../utils/interpret'
 import { MACRO_CHART, macroFillByName, NUTRITION_MACRO_CHART_BLOCK_PX } from '../utils/macroChartTheme'
 import Markdown from '../utils/Markdown'
@@ -22,12 +21,6 @@ import dayjs from 'dayjs'
 import 'dayjs/locale/de'
 dayjs.locale('de')
 
-function rollingAvg(arr, key, window=7) {
-  return arr.map((d,i) => {
-    const s = arr.slice(Math.max(0,i-window+1),i+1).map(x=>x[key]).filter(v=>v!=null)
-    return s.length ? {...d,[`${key}_avg`]:Math.round(s.reduce((a,b)=>a+b)/s.length*10)/10} : d
-  })
-}
 const fmtDate = d => dayjs(d).format('DD.MM')
 
 function NavToCaliper() {
@@ -94,23 +87,14 @@ function verdictShort(status) {
   return 'Achtung'
 }
 
-/** Eine KPI-Kachelzeile aus Summary + Interpretationsregeln (ohne Duplikate zur reinen Bewertungsliste). */
+/** Eine KPI-Kachelzeile aus Summary + Interpretationsregeln — Trend-Urteil aus Bundle ``weight.trend_kpi`` (Layer 1). */
 function buildBodyKpiTiles({
-  summary, rules, trendPeriods, minW, maxW, avgAll, dataPoints, sex, bfCat, goalW,
+  summary, rules, trendPeriods, minW, maxW, avgAll, dataPoints, weightTrendKpi, goalW,
 }) {
   const tiles = []
 
   if (summary.weight_kg != null) {
-    const t90 = trendPeriods.find(t => t.label === '90T')
-    const t30 = trendPeriods.find(t => t.label === '30T')
-    const d = t90?.diff_kg ?? t30?.diff_kg ?? trendPeriods[0]?.diff_kg
-    let st = 'good'
-    let vs = 'Stabil'
-    if (d != null) {
-      if (d < -0.25) { st = 'good'; vs = 'Trend ↓' }
-      else if (d > 0.25) { st = 'warn'; vs = 'Trend ↑' }
-      else { st = 'good'; vs = 'Stabil' }
-    }
+    const wt = weightTrendKpi || { verdict: 'Stabil', status: 'good' }
     const trendBits = trendPeriods.length
       ? trendPeriods.map(t => `${t.label} ${t.diff_kg > 0 ? '+' : ''}${t.diff_kg} kg`).join(' · ')
       : ''
@@ -128,8 +112,8 @@ function buildBodyKpiTiles({
       icon: '⚖️',
       value: `${summary.weight_kg} kg`,
       sublabel: dataPoints ? `${dataPoints} Messwerte` : '',
-      verdict: vs,
-      status: st,
+      verdict: wt.verdict,
+      status: wt.status,
       hoverTop: 'Gewicht',
       hoverBody,
       keys: ['weight_aktuell', 'weight_trend'],
@@ -143,8 +127,8 @@ function buildBodyKpiTiles({
       category: 'Körperfett',
       icon: '🫧',
       value: `${summary.body_fat_pct}%`,
-      valueColor: bfCat?.color,
-      sublabel: bfCat?.label || summary.bf_category_label || '',
+      valueColor: kfRule ? getStatusColor(kfRule.status) : undefined,
+      sublabel: summary.bf_category_label || '',
       verdict: verdictShort(kfRule?.status || 'good'),
       status: kfRule?.status || 'good',
       hoverTop: kfRule?.title || 'Körperfettanteil',
@@ -186,34 +170,32 @@ function buildBodyKpiTiles({
   }
 
   const whrRule = rules.find(r => r.category === 'Fettverteilung')
-  if (summary.whr != null) {
-    const ok = summary.whr < (sex === 'm' ? 0.9 : 0.85)
+  if (summary.whr != null && whrRule) {
     tiles.push({
       key: 'whr',
       category: 'Fettverteilung',
       icon: '📐',
       value: String(summary.whr),
       sublabel: 'WHR · Taille ÷ Hüfte',
-      verdict: whrRule ? verdictShort(whrRule.status) : (ok ? 'Gut' : 'Hinweis'),
-      status: whrRule?.status || (ok ? 'good' : 'warn'),
-      hoverTop: whrRule?.title || 'Waist-Hip-Ratio',
-      hoverBody: [whrRule?.detail, !whrRule && `Ziel unter ${sex === 'm' ? '0,90' : '0,85'}.`, whrRule?.related_placeholder_keys?.length ? `Registry: ${whrRule.related_placeholder_keys.join(', ')}` : ''].filter(Boolean).join('\n\n'),
+      verdict: verdictShort(whrRule.status),
+      status: whrRule.status,
+      hoverTop: whrRule.title || 'Waist-Hip-Ratio',
+      hoverBody: [whrRule.detail, whrRule.related_placeholder_keys?.length ? `Registry: ${whrRule.related_placeholder_keys.join(', ')}` : ''].filter(Boolean).join('\n\n'),
     })
   }
 
   const whtrRule = rules.find(r => r.category === 'Taille/Größe')
-  if (summary.whtr != null) {
-    const ok = summary.whtr < 0.5
+  if (summary.whtr != null && whtrRule) {
     tiles.push({
       key: 'whtr',
       category: 'Taille/Größe',
       icon: '📏',
       value: String(summary.whtr),
       sublabel: 'WHtR · Taille ÷ Größe',
-      verdict: whtrRule ? verdictShort(whtrRule.status) : (ok ? 'Gut' : 'Hinweis'),
-      status: whtrRule?.status || (ok ? 'good' : 'warn'),
-      hoverTop: whtrRule?.title || 'Waist-to-Height-Ratio',
-      hoverBody: [whtrRule?.detail, !whtrRule && 'Ziel unter 0,50 (WHO).', whtrRule?.related_placeholder_keys?.length ? `Registry: ${whtrRule.related_placeholder_keys.join(', ')}` : ''].filter(Boolean).join('\n\n'),
+      verdict: verdictShort(whtrRule.status),
+      status: whtrRule.status,
+      hoverTop: whtrRule.title || 'Waist-to-Height-Ratio',
+      hoverBody: [whtrRule.detail, whtrRule.related_placeholder_keys?.length ? `Registry: ${whtrRule.related_placeholder_keys.join(', ')}` : ''].filter(Boolean).join('\n\n'),
     })
   }
 
@@ -399,8 +381,6 @@ function BodySection({ profile, insights, onRequest, loadingSlug, filterActiveSl
   const [vizLoading, setVizLoading] = useState(true)
   const [vizError, setVizError] = useState(null)
 
-  const sex = profile?.sex || 'm'
-
   useEffect(() => {
     let cancelled = false
     api.listGoalsGrouped()
@@ -470,7 +450,6 @@ function BodySection({ profile, insights, onRequest, loadingSlug, filterActiveSl
     belly: r.belly,
   }))
 
-  const bfCat = summary.body_fat_pct != null ? getBfCategory(summary.body_fat_pct, sex) : null
   const goalW = viz?.profile?.goal_weight_kg ?? profile?.goal_weight
   const goalBf = viz?.profile?.goal_bf_pct ?? profile?.goal_bf_pct
 
@@ -492,8 +471,7 @@ function BodySection({ profile, insights, onRequest, loadingSlug, filterActiveSl
     maxW,
     avgAll,
     dataPoints: w?.data_points,
-    sex,
-    bfCat,
+    weightTrendKpi: w?.trend_kpi,
     goalW,
   })
 
@@ -785,75 +763,31 @@ function KcalVsWeightLegend({ showTdee }) {
   )
 }
 
-/** Kalorien (Ø 7T) vs. Gewicht — Daten aus Layer-2b-Bundle (nutrition_metrics / TDEE wie Data Layer). */
-function KcalVsWeightChart({ vizKcalWeight, corrData: corrRows, profile, cutoffDate, allTime }) {
-  if (vizKcalWeight?.points?.length >= 5) {
-    const tdee = vizKcalWeight.tdee_reference_kcal
-    const kcalVsW = vizKcalWeight.points.map(d => ({
-      ...d,
-      date: fmtDate(d.date),
-    }))
-    const n = vizKcalWeight.common_days_count ?? kcalVsW.length
-    const tdeeLabel = tdee != null && tdee > 0 ? Math.round(tdee) : null
-    const kcalDomain = kcalVsWeightKcalDomain(kcalVsW, tdeeLabel)
+/** Kalorien (Ø 7T) vs. Gewicht — nur Layer-2b-Bundle (nutrition_metrics); kein Frontend-TDEE-Fallback. */
+function KcalVsWeightChart({ vizKcalWeight }) {
+  const n = vizKcalWeight?.points?.length ?? 0
+  if (n < 5) {
+    if (n === 0) return null
     return (
-      <div className="card" style={{ marginBottom: 12 }}>
+      <div className="card" style={{ marginBottom: 12, padding: '12px 14px' }}>
         <div style={{ fontSize: 12, fontWeight: 600, color: 'var(--text3)', marginBottom: 6 }}>
           Kalorien (Ø 7 Tage) vs. Gewicht
         </div>
-        <div style={{ fontSize: 10, color: 'var(--text3)', lineHeight: 1.45, marginBottom: 8 }}>
-          Nur Tage mit Kalorien- und Gewichtsdaten. Linke Achse: kcal (Ø 7 Tage), rechte Achse: kg.
-        </div>
-        <ResponsiveContainer width="100%" height={200}>
-          <LineChart data={kcalVsW} margin={{ top: 4, right: 8, bottom: 0, left: -16 }}>
-            <CartesianGrid stroke="var(--border)" strokeDasharray="3 3" />
-            <XAxis dataKey="date" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} interval={Math.max(0, Math.floor(kcalVsW.length / 6) - 1)} />
-            <YAxis yAxisId="kcal" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} domain={kcalDomain} />
-            <YAxis yAxisId="weight" orientation="right" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} domain={['auto', 'auto']} />
-            <Tooltip
-              contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 11 }}
-              formatter={(v, n) => [`${Math.round(v)} ${n === 'weight' ? 'kg' : 'kcal'}`, n === 'kcal_avg' ? 'Ø Kalorien' : 'Gewicht']}
-            />
-            {tdeeLabel != null && (
-              <ReferenceLine
-                yAxisId="kcal"
-                y={tdeeLabel}
-                stroke={TDEE_REF_LINE_COLOR}
-                strokeDasharray="6 5"
-                strokeWidth={2}
-                isFront
-              />
-            )}
-            <Line yAxisId="kcal" type="monotone" dataKey="kcal_avg" stroke="#EA580C" strokeWidth={2.5} dot={false} name="kcal_avg" />
-            <Line yAxisId="weight" type="monotone" dataKey="weight" stroke="#2563EB" strokeWidth={2.5} dot={{ r: 2, fill: '#2563EB' }} name="weight" />
-          </LineChart>
-        </ResponsiveContainer>
-        <KcalVsWeightLegend showTdee={tdeeLabel != null} />
-        <div style={{ fontSize: 10, color: 'var(--text3)', textAlign: 'center', marginTop: 8 }}>
-          {tdeeLabel != null
-            ? `TDEE ~${tdeeLabel} kcal · ${n} gemeinsame Tage`
-            : `Keine TDEE-Referenz (Gewicht/Demografie) · ${n} gemeinsame Tage`}
+        <div style={{ fontSize: 11, color: 'var(--text3)', lineHeight: 1.45 }}>
+          Für dieses Diagramm werden mindestens 5 Tage mit Kalorien- und Gewichtsdaten benötigt ({n} im Zeitraum).
         </div>
       </div>
     )
   }
 
-  const raw = (corrRows || []).filter(d => {
-    if (!d.kcal || d.weight == null) return false
-    const ds = typeof d.date === 'string' ? d.date.slice(0, 10) : dayjs(d.date).format('YYYY-MM-DD')
-    return allTime || ds >= cutoffDate
-  })
-  if (raw.length < 5) return null
-
-  const sex = profile?.sex || 'm'
-  const height = profile?.height || 178
-  const latestW = raw[raw.length - 1]?.weight || 80
-  const age = profile?.dob ? Math.floor((Date.now() - new Date(profile.dob)) / (365.25 * 24 * 3600 * 1000)) : 35
-  const bmr = sex === 'm' ? 10 * latestW + 6.25 * height - 5 * age + 5 : 10 * latestW + 6.25 * height - 5 * age - 161
-  const tdee = Math.round(bmr * 1.4)
-  const kcalVsW = rollingAvg(raw.map(d => ({ ...d, date: fmtDate(d.date) })), 'kcal')
-  const kcalDomainFb = kcalVsWeightKcalDomain(kcalVsW, tdee)
-
+  const tdee = vizKcalWeight.tdee_reference_kcal
+  const kcalVsW = vizKcalWeight.points.map(d => ({
+    ...d,
+    date: fmtDate(d.date),
+  }))
+  const commonDays = vizKcalWeight.common_days_count ?? kcalVsW.length
+  const tdeeLabel = tdee != null && tdee > 0 ? Math.round(tdee) : null
+  const kcalDomain = kcalVsWeightKcalDomain(kcalVsW, tdeeLabel)
   return (
     <div className="card" style={{ marginBottom: 12 }}>
       <div style={{ fontSize: 12, fontWeight: 600, color: 'var(--text3)', marginBottom: 6 }}>
@@ -866,27 +800,31 @@ function KcalVsWeightChart({ vizKcalWeight, corrData: corrRows, profile, cutoffD
         <LineChart data={kcalVsW} margin={{ top: 4, right: 8, bottom: 0, left: -16 }}>
           <CartesianGrid stroke="var(--border)" strokeDasharray="3 3" />
           <XAxis dataKey="date" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} interval={Math.max(0, Math.floor(kcalVsW.length / 6) - 1)} />
-          <YAxis yAxisId="kcal" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} domain={kcalDomainFb} />
+          <YAxis yAxisId="kcal" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} domain={kcalDomain} />
           <YAxis yAxisId="weight" orientation="right" tick={{ fontSize: 9, fill: 'var(--text3)' }} tickLine={false} domain={['auto', 'auto']} />
           <Tooltip
             contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 11 }}
-            formatter={(v, n) => [`${Math.round(v)} ${n === 'weight' ? 'kg' : 'kcal'}`, n === 'kcal_avg' ? 'Ø Kalorien' : 'Gewicht']}
-          />
-          <ReferenceLine
-            yAxisId="kcal"
-            y={tdee}
-            stroke={TDEE_REF_LINE_COLOR}
-            strokeDasharray="6 5"
-            strokeWidth={2}
-            isFront
+            formatter={(v, name) => [`${Math.round(v)} ${name === 'weight' ? 'kg' : 'kcal'}`, name === 'kcal_avg' ? 'Ø Kalorien' : 'Gewicht']}
           />
+          {tdeeLabel != null && (
+            <ReferenceLine
+              yAxisId="kcal"
+              y={tdeeLabel}
+              stroke={TDEE_REF_LINE_COLOR}
+              strokeDasharray="6 5"
+              strokeWidth={2}
+              isFront
+            />
+          )}
           <Line yAxisId="kcal" type="monotone" dataKey="kcal_avg" stroke="#EA580C" strokeWidth={2.5} dot={false} name="kcal_avg" />
           <Line yAxisId="weight" type="monotone" dataKey="weight" stroke="#2563EB" strokeWidth={2.5} dot={{ r: 2, fill: '#2563EB' }} name="weight" />
         </LineChart>
       </ResponsiveContainer>
-      <KcalVsWeightLegend showTdee />
+      <KcalVsWeightLegend showTdee={tdeeLabel != null} />
       <div style={{ fontSize: 10, color: 'var(--text3)', textAlign: 'center', marginTop: 8 }}>
-        TDEE ~{tdee} kcal (Fallback Mifflin ×1,4) · {raw.length} gemeinsame Tage
+        {tdeeLabel != null
+          ? `TDEE ~${tdeeLabel} kcal · ${commonDays} gemeinsame Tage`
+          : `Keine TDEE-Referenz (Gewicht/Demografie) · ${commonDays} gemeinsame Tage`}
       </div>
     </div>
   )
@@ -894,7 +832,7 @@ function KcalVsWeightChart({ vizKcalWeight, corrData: corrRows, profile, cutoffD
 
 // ── Nutrition Section ─────────────────────────────────────────────────────────
 /** Layer 2b: Kennzahlen und Reihen nur aus GET /charts/nutrition-history-viz (nutrition_metrics). */
-function NutritionSection({ profile, insights, onRequest, loadingSlug, filterActiveSlugs }) {
+function NutritionSection({ insights, onRequest, loadingSlug, filterActiveSlugs }) {
   const [period, setPeriod] = useState(30)
   const [groupedGoals, setGroupedGoals] = useState(null)
   const [viz, setViz] = useState(null)
@@ -1000,13 +938,7 @@ function NutritionSection({ profile, insights, onRequest, loadingSlug, filterAct
 
       <KpiTilesOverview tiles={kpiTiles} />
 
-      <KcalVsWeightChart
-        vizKcalWeight={viz.kcal_vs_weight}
-        corrData={[]}
-        profile={profile}
-        cutoffDate=""
-        allTime={period === 9999}
-      />
+      <KcalVsWeightChart vizKcalWeight={viz.kcal_vs_weight} />
 
       {balDaily.length > 0 && tdeeRef != null && (
         <div className="card" style={{ marginBottom: 12 }}>
@@ -1813,7 +1745,7 @@ export default function History() {
         <div className="history-content">
           {tab==='overview'    && <HistoryOverviewSection {...sp}/>}
           {tab==='body'        && <BodySection profile={profile} {...sp}/>}
-          {tab==='nutrition'   && <NutritionSection profile={profile} {...sp}/>}
+          {tab==='nutrition'   && <NutritionSection {...sp}/>}
           {tab==='activity'    && <ActivitySection activityLastDate={activityLastDate} globalQualityLevel={activeProfile?.quality_filter_level} {...sp}/>}
           {tab==='photos'      && <PhotoGrid/>}
         </div>