feat: enhance History page with new scatter chart and correlation insights
- Added ScatterChart and related functions to visualize correlation data, improving user understanding of relationships between metrics. - Introduced new utility functions for processing chart data and determining status tones, enhancing the clarity of visual representations. - Updated the NutritionSection to include additional insights on calorie balance and protein vs. lean mass, providing a more comprehensive overview of nutrition trends.
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@ -4,7 +4,8 @@ import { useProfile } from '../context/ProfileContext'
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import {
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LineChart, Line, BarChart, Bar,
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XAxis, YAxis, Tooltip, ResponsiveContainer, CartesianGrid,
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ReferenceLine, PieChart, Pie, Cell, ComposedChart
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ReferenceLine, PieChart, Pie, Cell, ComposedChart,
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ScatterChart, Scatter,
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} from 'recharts'
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import { ChevronRight, Brain, ChevronDown, ChevronUp, Trash2 } from 'lucide-react'
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import { api } from '../utils/api'
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@ -990,6 +991,9 @@ function NutritionSection({ profile, insights, onRequest, loadingSlug, filterAct
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<p style={{ fontSize: 11, color: 'var(--text3)', lineHeight: 1.45, marginBottom: 10 }}>
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Kennzahlen und Charts nutzen dieselbe Berechnung wie die KI-Platzhalter (Ernährungs-Data-Layer).{' '}
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<strong>Kalorien vs. Gewicht</strong> und TDEE-Referenz entsprechen Mifflin–St Jeor × PAL 1,55 bzw. kg-Fallback (32,5 kcal/kg).
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{' '}
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<strong>Kalorienbilanz</strong>, <strong>Protein vs. Magermasse</strong> und den Block{' '}
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<strong>«Kurz-Einordnung»</strong> finden Sie hier — früher im eigenen Reiter «Korrelation» (jetzt Data-Layer-Bundle).
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</p>
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<NutritionGoalsStrip grouped={groupedGoals} />
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@ -1242,36 +1246,163 @@ function ActivitySection({ activities, insights, onRequest, loadingSlug, filterA
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)
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}
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function LagCorrelationMetaCard({ title, block }) {
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if (!block) return null
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const ok = block.available
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function overviewSectionTone(sec) {
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const kpis = sec.kpi_short || []
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if (kpis.some((k) => k.status === 'bad')) return 'bad'
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if (kpis.some((k) => k.status === 'warn')) return 'warn'
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const interp = sec.interpretation_short || []
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if (interp.some((x) => x.status === 'bad')) return 'bad'
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if (interp.some((x) => x.status === 'warn')) return 'warn'
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const heur = sec.heuristic_short || []
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if (heur.some((h) => h.status === 'warn')) return 'warn'
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return 'good'
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}
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function overviewConfidenceUi(conf) {
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if (conf === 'high') return { label: 'Datenlage: gut', tone: 'good', hint: 'Ausreichend Messpunkte für sinnvolle Kurzinfos.' }
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if (conf === 'medium') return { label: 'Datenlage: mittel', tone: 'warn', hint: 'Einzelne Bereiche sind noch dünn besetzt.' }
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return { label: 'Datenlage: dünn', tone: 'bad', hint: 'Mehr Einträge verbessern die Aussagekraft.' }
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}
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function chartJsScatterPoints(payload) {
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const raw = payload?.data?.datasets?.[0]?.data || []
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if (!Array.isArray(raw)) return []
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return raw.map((p) => ({ x: Number(p.x), y: Number(p.y) }))
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}
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function driverBarFromStatus(st) {
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const s = String(st || '').toLowerCase()
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if (s.includes('hinder')) return { v: -1, fill: 'var(--danger)' }
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if (s.includes('förder') || s.includes('foerder')) return { v: 1, fill: 'var(--accent)' }
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return { v: 0.15, fill: '#6B7280' }
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}
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function chartJsBarRows(payload, fallbackDrivers) {
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const labels = payload?.data?.labels || []
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const values = payload?.data?.datasets?.[0]?.data || []
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const colors = payload?.data?.datasets?.[0]?.backgroundColor
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if (labels.length && values.length) {
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return labels.map((name, i) => ({
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name: name.length > 42 ? `${name.slice(0, 40)}…` : name,
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value: Number(values[i]),
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fill: Array.isArray(colors) ? colors[i] : Number(values[i]) < 0 ? '#EF4444' : '#1D9E75',
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}))
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}
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if (fallbackDrivers?.length) {
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return fallbackDrivers.map((d) => {
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const { v, fill } = driverBarFromStatus(d.status)
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return {
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name: String(d.factor || '—').length > 40 ? `${String(d.factor).slice(0, 38)}…` : String(d.factor || '—'),
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value: v,
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fill,
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subtitle: d.reason,
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}
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})
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}
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return []
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}
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function CorrelationScatterTile({ title, accent, payload }) {
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const meta = payload?.metadata || {}
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const pts = chartJsScatterPoints(payload)
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const hasChart = pts.length > 0 && meta.correlation != null
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const r = Number(meta.correlation)
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const strength =
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!Number.isFinite(r) ? 'bad' : Math.abs(r) >= 0.35 ? 'good' : Math.abs(r) >= 0.15 ? 'warn' : 'bad'
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return (
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<div className="card" style={{ marginBottom: 8, padding: '10px 12px' }}>
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<div style={{ fontSize: 11, fontWeight: 600, color: 'var(--text3)', marginBottom: 4 }}>{title}</div>
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{!ok ? (
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<div style={{ fontSize: 11, color: 'var(--text3)' }}>Nicht genug Daten für diese Auswertung.</div>
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<div
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className="card"
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style={{
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marginBottom: 0,
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padding: 10,
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borderLeft: `4px solid ${getStatusColor(strength)}`,
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}}
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>
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<div style={{ fontSize: 11, fontWeight: 700, color: 'var(--text1)', marginBottom: 4 }}>{title}</div>
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<div style={{ fontSize: 10, color: 'var(--text3)', lineHeight: 1.35, marginBottom: 6 }}>
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r = {meta.correlation != null ? Number(meta.correlation).toFixed(3) : '—'}
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{meta.best_lag_days != null ? ` · Lag ${meta.best_lag_days} T` : ''}
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{meta.metric ? ` · ${meta.metric}` : ''}
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{meta.confidence ? ` · ${meta.confidence}` : ''}
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</div>
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{!hasChart ? (
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<div style={{ fontSize: 11, color: 'var(--text3)' }}>{meta.message || 'Keine Daten für diese Korrelation.'}</div>
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) : (
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<>
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<div style={{ fontSize: 12, color: 'var(--text1)' }}>
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r ≈ {block.correlation != null ? Number(block.correlation).toFixed(3) : '—'}
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{block.best_lag_days != null ? ` · Lag ${block.best_lag_days} Tage` : ''}
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{block.metric ? ` · ${block.metric}` : ''}
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{block.confidence ? ` · ${block.confidence}` : ''}
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</div>
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{block.interpretation ? (
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<div style={{ fontSize: 11, color: 'var(--text2)', marginTop: 6, lineHeight: 1.45 }}>{block.interpretation}</div>
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) : null}
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</>
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<ResponsiveContainer width="100%" height={118}>
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<ScatterChart margin={{ top: 2, right: 4, bottom: 2, left: -18 }}>
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<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
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<XAxis type="number" dataKey="x" domain={[0, 28]} tick={{ fontSize: 9, fill: 'var(--text3)' }} />
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<YAxis type="number" dataKey="y" domain={[-1, 1]} tick={{ fontSize: 9, fill: 'var(--text3)' }} />
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<ReferenceLine y={0} stroke="var(--text3)" strokeDasharray="4 4" />
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<Tooltip contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 10 }} />
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<Scatter name="r" data={pts} fill={accent} />
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</ScatterChart>
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</ResponsiveContainer>
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)}
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{meta.interpretation ? (
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<div style={{ fontSize: 10, color: 'var(--text2)', marginTop: 6, lineHeight: 1.4 }}>{meta.interpretation}</div>
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) : null}
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</div>
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)
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}
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// ── Gesamtansicht (Layer 2b: GET /charts/history-overview-viz) ─────────────────
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function DriversImpactTile({ payload, driversFallback }) {
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const meta = payload?.metadata || {}
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const rows = chartJsBarRows(payload, driversFallback)
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if (!rows.length) {
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return (
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<div className="card" style={{ padding: 12, borderLeft: '4px solid var(--border)' }}>
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<div style={{ fontSize: 11, fontWeight: 700, marginBottom: 6 }}>C4 Einflussfaktoren</div>
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<div style={{ fontSize: 11, color: 'var(--text3)' }}>{meta.message || 'Keine Treiber-Daten.'}</div>
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</div>
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)
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}
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const h = Math.min(220, Math.max(96, rows.length * 34))
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return (
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<div className="card" style={{ padding: 10, borderLeft: '4px solid var(--accent)' }}>
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<div style={{ fontSize: 11, fontWeight: 700, marginBottom: 6 }}>C4 Einflussfaktoren</div>
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<ResponsiveContainer width="100%" height={h}>
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<BarChart data={rows} layout="vertical" margin={{ left: 2, right: 6, top: 2, bottom: 2 }}>
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<XAxis type="number" domain={[-1.2, 1.2]} tick={{ fontSize: 9 }} />
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<YAxis type="category" dataKey="name" width={112} tick={{ fontSize: 9, fill: 'var(--text2)' }} />
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<Tooltip
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content={({ active, payload: pp }) => {
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if (!active || !pp?.length) return null
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const p = pp[0].payload
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return (
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<div
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style={{
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background: 'var(--surface)',
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border: '1px solid var(--border)',
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padding: '8px 10px',
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borderRadius: 8,
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fontSize: 11,
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maxWidth: 280,
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}}
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>
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<div style={{ fontWeight: 600 }}>{p.name}</div>
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{p.subtitle ? <div style={{ marginTop: 4, color: 'var(--text2)', lineHeight: 1.4 }}>{p.subtitle}</div> : null}
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</div>
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)
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}}
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/>
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<Bar dataKey="value" radius={[0, 4, 4, 0]}>
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{rows.map((e, i) => (
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<Cell key={i} fill={e.fill} />
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))}
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</Bar>
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</BarChart>
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</ResponsiveContainer>
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</div>
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)
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}
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// ── Gesamtansicht (Layer 2b: overview + Chart-Endpunkte C1–C4) ──────────────────
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function HistoryOverviewSection({ insights, onRequest, loadingSlug, filterActiveSlugs }) {
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const navigate = useNavigate()
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const [period, setPeriod] = useState(30)
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const [data, setData] = useState(null)
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const [bundle, setBundle] = useState(null)
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const [err, setErr] = useState(null)
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const [loading, setLoading] = useState(true)
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@ -1279,10 +1410,16 @@ function HistoryOverviewSection({ insights, onRequest, loadingSlug, filterActive
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let cancelled = false
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const daysReq = period === 9999 ? 3650 : period
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setLoading(true)
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api.getHistoryOverviewViz(daysReq)
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.then((d) => {
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Promise.all([
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api.getHistoryOverviewViz(daysReq),
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api.getWeightEnergyCorrelationChart(14),
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api.getLbmProteinCorrelationChart(14),
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api.getLoadVitalsCorrelationChart(14),
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api.getRecoveryPerformanceChart(),
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])
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.then(([overview, chartC1, chartC2, chartC3, chartC4]) => {
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if (!cancelled) {
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setData(d)
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setBundle({ overview, chartC1, chartC2, chartC3, chartC4 })
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setErr(null)
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}
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})
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@ -1315,86 +1452,153 @@ function HistoryOverviewSection({ insights, onRequest, loadingSlug, filterActive
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)
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}
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const data = bundle?.overview
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const chartC1 = bundle?.chartC1
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const chartC2 = bundle?.chartC2
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const chartC3 = bundle?.chartC3
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const chartC4 = bundle?.chartC4
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const lag = data?.lag_correlations || {}
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const c4 = lag.recovery_performance
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const c4drivers = lag.recovery_performance?.drivers || []
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const sections = data?.sections || []
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const confUi = overviewConfidenceUi(data?.confidence)
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return (
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<div>
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<SectionHeader title="📊 Gesamtansicht" />
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<PeriodSelector value={period} onChange={setPeriod} />
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<p style={{ fontSize: 11, color: 'var(--text3)', lineHeight: 1.45, marginBottom: 12 }}>
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Kurzüberblick aus denselben Data-Layer-Bundles wie die Reiter Körper bis Erholung (Issue 53). Lag-Korrelationen C1–C4
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stammen aus <code style={{ fontSize: 10 }}>correlations.py</code> / Chart-Endpunkte.
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<div
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style={{
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display: 'flex',
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flexWrap: 'wrap',
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alignItems: 'center',
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gap: 10,
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marginBottom: 14,
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padding: '10px 12px',
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borderRadius: 12,
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border: '1px solid var(--border)',
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background: getStatusBg(confUi.tone),
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borderLeft: `5px solid ${getStatusColor(confUi.tone)}`,
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}}
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>
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<span style={{ fontSize: 20, lineHeight: 1 }}>{confUi.tone === 'good' ? '●' : confUi.tone === 'warn' ? '◐' : '○'}</span>
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<div style={{ flex: 1, minWidth: 200 }}>
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<div style={{ fontSize: 13, fontWeight: 700, color: 'var(--text1)' }}>{confUi.label}</div>
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<div style={{ fontSize: 11, color: 'var(--text2)', marginTop: 2 }}>{confUi.hint}</div>
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</div>
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</div>
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<p style={{ fontSize: 11, color: 'var(--text3)', lineHeight: 1.45, marginBottom: 14 }}>
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KPIs und Texte kommen aus den Layer-2b-Bundles (Körper, Ernährung, Fitness, Erholung).{' '}
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<strong>Ehem. «Korrelation»-Charts</strong> (Bilanz, Protein/Mager, Kurz-Einordnung) liegen unter{' '}
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<button type="button" className="btn btn-secondary" style={{ fontSize: 11, padding: '2px 8px' }} onClick={() => navigate('/history', { state: { tab: 'nutrition' } })}>
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Ernährung
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</button>
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. Die Kacheln C1–C4 unten nutzen dieselben Chart-Endpunkte wie die API (<code style={{ fontSize: 10 }}>/api/charts/*</code>).
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</p>
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{sections.map((sec) => (
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<div key={sec.id} className="card" style={{ marginBottom: 12 }}>
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<div style={{ display: 'flex', alignItems: 'flex-start', justifyContent: 'space-between', gap: 8, marginBottom: 8 }}>
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<div style={{ fontSize: 14, fontWeight: 700 }}>{sec.title}</div>
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<button
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type="button"
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className="btn btn-secondary"
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style={{ fontSize: 11, padding: '4px 10px', flexShrink: 0 }}
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onClick={() => navigate('/history', { state: { tab: sec.tab_id } })}
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<div style={{ display: 'grid', gridTemplateColumns: '1fr', gap: 10 }}>
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{sections.map((sec) => {
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const tone = overviewSectionTone(sec)
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const stripe = getStatusColor(tone)
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const badgeBg = getStatusBg(tone)
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return (
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<div
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key={sec.id}
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style={{
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borderRadius: 12,
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border: '1px solid var(--border)',
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borderLeft: `5px solid ${stripe}`,
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background: 'var(--surface)',
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padding: '12px 12px 12px 14px',
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boxShadow: tone === 'bad' ? '0 0 0 1px rgba(216,90,48,0.12)' : undefined,
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}}
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>
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Zum Reiter
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</button>
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</div>
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<div style={{ fontSize: 12, color: 'var(--text2)', marginBottom: 8 }}>{sec.summary_line}</div>
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{(sec.interpretation_short || []).map((it, i) => (
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<div key={i} style={{ fontSize: 12, marginBottom: 6, paddingLeft: 4, borderLeft: `3px solid ${getStatusColor(it.status || 'good')}` }}>
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<strong style={{ color: 'var(--text1)' }}>{it.title}</strong>
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<div style={{ color: 'var(--text2)', marginTop: 2 }}>{it.detail}</div>
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</div>
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))}
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{(sec.kpi_short || []).map((k, i) => (
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<div key={i} style={{ fontSize: 12, marginBottom: 4 }}>
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<span style={{ color: getStatusColor(k.status || 'good') }}>{k.icon} {k.category}</span>
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{' · '}
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<span style={{ fontWeight: 600 }}>{k.value}</span>
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{k.sublabel ? <span style={{ color: 'var(--text3)', fontSize: 10 }}> — {k.sublabel}</span> : null}
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</div>
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))}
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{(sec.heuristic_short || []).map((h, i) => (
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<div key={i} style={{ fontSize: 12, marginTop: 6, color: 'var(--text2)' }}>
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<strong>{h.title}</strong>
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<div style={{ fontSize: 11, marginTop: 2 }}>{h.detail}</div>
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</div>
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))}
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{(sec.insights_short || []).map((ins, i) => (
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<div key={i} style={{ fontSize: 12, marginTop: 6, color: 'var(--text2)', lineHeight: 1.45 }}>
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<strong>{ins.title}</strong>
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<div>{ins.body}</div>
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</div>
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))}
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</div>
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))}
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<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'flex-start', gap: 8, marginBottom: 8 }}>
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<div style={{ display: 'flex', alignItems: 'center', gap: 10 }}>
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<span
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style={{
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display: 'inline-flex',
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alignItems: 'center',
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justifyContent: 'center',
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minWidth: 30,
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height: 30,
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borderRadius: 10,
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fontSize: 13,
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fontWeight: 800,
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color: stripe,
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background: badgeBg,
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}}
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>
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{tone === 'good' ? '✓' : tone === 'warn' ? '!' : '!!'}
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</span>
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<div style={{ fontSize: 15, fontWeight: 700 }}>{sec.title}</div>
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</div>
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<button
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type="button"
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className="btn btn-secondary"
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style={{ fontSize: 11, padding: '4px 10px', flexShrink: 0 }}
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onClick={() => navigate('/history', { state: { tab: sec.tab_id } })}
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>
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Öffnen
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</button>
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</div>
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<div style={{ fontSize: 12, color: 'var(--text2)', marginBottom: 10, lineHeight: 1.45 }}>{sec.summary_line}</div>
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<div style={{ fontSize: 12, fontWeight: 600, color: 'var(--text3)', marginBottom: 8, marginTop: 8 }}>
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Lag-Korrelationen (C1–C3)
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</div>
|
||||
<LagCorrelationMetaCard title={lag.weight_energy?.label || 'C1'} block={lag.weight_energy} />
|
||||
<LagCorrelationMetaCard title={lag.protein_lbm?.label || 'C2'} block={lag.protein_lbm} />
|
||||
<LagCorrelationMetaCard title={lag.load_vitals?.label || 'C3'} block={lag.load_vitals} />
|
||||
{(sec.kpi_short || []).length > 0 && (
|
||||
<div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(128px, 1fr))', gap: 8, marginBottom: 8 }}>
|
||||
{(sec.kpi_short || []).map((k, i) => (
|
||||
<div
|
||||
key={i}
|
||||
style={{
|
||||
padding: '8px 10px',
|
||||
borderRadius: 10,
|
||||
background: getStatusBg(k.status || 'good'),
|
||||
border: `1px solid ${getStatusColor(k.status || 'good')}55`,
|
||||
}}
|
||||
>
|
||||
<div style={{ fontSize: 9, color: 'var(--text3)', textTransform: 'uppercase', letterSpacing: '0.04em' }}>{k.category}</div>
|
||||
<div style={{ fontSize: 14, fontWeight: 700, color: getStatusColor(k.status || 'good'), marginTop: 2 }}>{k.value}</div>
|
||||
{k.sublabel ? <div style={{ fontSize: 9, color: 'var(--text3)', marginTop: 2 }}>{k.sublabel}</div> : null}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div style={{ fontSize: 12, fontWeight: 600, color: 'var(--text3)', marginBottom: 8, marginTop: 12 }}>
|
||||
Einflussfaktoren (C4)
|
||||
</div>
|
||||
<div className="card" style={{ marginBottom: 12, padding: '10px 12px' }}>
|
||||
{c4?.drivers?.length ? (
|
||||
c4.drivers.map((d, i) => (
|
||||
<div key={i} style={{ fontSize: 12, marginBottom: 8, lineHeight: 1.45 }}>
|
||||
<strong>{d.factor}</strong>
|
||||
<span style={{ color: 'var(--text3)', marginLeft: 6 }}>({d.status})</span>
|
||||
<div style={{ color: 'var(--text2)', marginTop: 2 }}>{d.reason}</div>
|
||||
{(sec.interpretation_short || []).map((it, i) => (
|
||||
<div key={`in-${i}`} style={{ fontSize: 11, marginBottom: 6, paddingLeft: 8, borderLeft: `3px solid ${getStatusColor(it.status || 'good')}` }}>
|
||||
<strong style={{ color: 'var(--text1)' }}>{it.title}</strong>
|
||||
<div style={{ color: 'var(--text2)', marginTop: 2, lineHeight: 1.4 }}>{it.detail}</div>
|
||||
</div>
|
||||
))}
|
||||
{(sec.heuristic_short || []).map((h, i) => (
|
||||
<div key={`he-${i}`} style={{ fontSize: 11, marginTop: 6, padding: '6px 8px', borderRadius: 8, background: 'var(--surface2)' }}>
|
||||
<strong style={{ color: h.status === 'warn' ? 'var(--warn)' : 'var(--accent)' }}>{h.title}</strong>
|
||||
<div style={{ fontSize: 10, color: 'var(--text2)', marginTop: 2 }}>{h.detail}</div>
|
||||
</div>
|
||||
))}
|
||||
{(sec.insights_short || []).map((ins, i) => (
|
||||
<div key={`is-${i}`} style={{ fontSize: 11, marginTop: 6, color: 'var(--text2)', lineHeight: 1.45 }}>
|
||||
<strong>{ins.title}</strong>
|
||||
<div>{ins.body}</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
))
|
||||
) : (
|
||||
<div style={{ fontSize: 11, color: 'var(--text3)' }}>Keine Treiber-Daten.</div>
|
||||
)}
|
||||
)
|
||||
})}
|
||||
</div>
|
||||
|
||||
<div style={{ fontSize: 12, fontWeight: 700, color: 'var(--text1)', margin: '18px 0 10px' }}>Lag-Korrelationen (C1–C3)</div>
|
||||
<div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(200px, 1fr))', gap: 10 }}>
|
||||
<CorrelationScatterTile title="C1 Energiebilanz ↔ Gewicht" accent="#1D9E75" payload={chartC1} />
|
||||
<CorrelationScatterTile title="C2 Protein ↔ Magermasse" accent="#3B82F6" payload={chartC2} />
|
||||
<CorrelationScatterTile title="C3 Last ↔ HRV/RHR" accent="#F59E0B" payload={chartC3} />
|
||||
</div>
|
||||
|
||||
<div style={{ fontSize: 12, fontWeight: 700, color: 'var(--text1)', margin: '18px 0 10px' }}>Einflussfaktoren (C4)</div>
|
||||
<DriversImpactTile payload={chartC4} driversFallback={c4drivers} />
|
||||
|
||||
<InsightBox insights={insights} slugs={filterActiveSlugs(['gesamt', 'ziele'])} onRequest={onRequest} loading={loadingSlug} />
|
||||
</div>
|
||||
)
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user