mitai-jinkendo/frontend/src/components/history/HistoryOverviewVizSection.jsx

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React
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import { useState, useEffect } from 'react'
import { useNavigate } from 'react-router-dom'
import {
BarChart,
Bar,
XAxis,
YAxis,
Tooltip,
ResponsiveContainer,
CartesianGrid,
ReferenceLine,
ComposedChart,
ScatterChart,
Scatter,
Line,
Cell,
} from 'recharts'
import { api } from '../../utils/api'
import { getStatusColor, getStatusBg } from '../../utils/interpret'
import { EmptySection, PeriodSelector, SectionHeader } from './historyPageChrome'
import { HISTORY_OVERVIEW_VIZ_PAGE_FULL, normalizeHistoryOverviewVizConfig } from '../../widgetSystem/historyOverviewVizConfig'
function overviewSectionTone(sec) {
const kpis = sec.kpi_short || []
if (kpis.some((k) => k.status === 'bad')) return 'bad'
if (kpis.some((k) => k.status === 'warn')) return 'warn'
const interp = sec.interpretation_short || []
if (interp.some((x) => x.status === 'bad')) return 'bad'
if (interp.some((x) => x.status === 'warn')) return 'warn'
const heur = sec.heuristic_short || []
if (heur.some((h) => h.status === 'warn')) return 'warn'
return 'good'
}
function overviewConfidenceUi(conf) {
if (conf === 'high') return { label: 'Datenlage: gut', tone: 'good', hint: 'Ausreichend Messpunkte für sinnvolle Kurzinfos.' }
if (conf === 'medium') return { label: 'Datenlage: mittel', tone: 'warn', hint: 'Einzelne Bereiche sind noch dünn besetzt.' }
return { label: 'Datenlage: dünn', tone: 'bad', hint: 'Mehr Einträge verbessern die Aussagekraft.' }
}
function chartJsScatterPoints(payload) {
const raw = payload?.data?.datasets?.[0]?.data || []
if (!Array.isArray(raw)) return []
return raw.map((p) => ({ x: Number(p.x), y: Number(p.y) }))
}
function lagDetailsToCurve(meta) {
let ld = meta?.lag_details
if (!Array.isArray(ld) || ld.length === 0) {
const m = String(meta?.metric || '').toUpperCase()
if (m === 'HRV' && Array.isArray(meta?.lag_details_hrv)) ld = meta.lag_details_hrv
else if (m === 'RHR' && Array.isArray(meta?.lag_details_rhr)) ld = meta.lag_details_rhr
else {
const h = meta?.lag_details_hrv
const r = meta?.lag_details_rhr
const hl = Array.isArray(h) ? h.length : 0
const rl = Array.isArray(r) ? r.length : 0
if (hl >= rl && hl > 0) ld = h
else if (rl > 0) ld = r
else ld = []
}
}
if (!Array.isArray(ld) || ld.length === 0) return []
return ld
.map((d) => ({
lag: Number(d?.lag),
r: d?.r == null || d?.r === '' ? null : Number(d.r),
n_pairs: d?.n_pairs != null ? Number(d.n_pairs) : null,
}))
.filter((d) => Number.isFinite(d.lag) && d.r != null && Number.isFinite(d.r))
.sort((a, b) => a.lag - b.lag)
}
function driverBarFromStatus(st) {
const s = String(st || '').toLowerCase()
if (s.includes('hinder')) return { v: -1, fill: 'var(--danger)' }
if (s.includes('förder') || s.includes('foerder')) return { v: 1, fill: 'var(--accent)' }
return { v: 0.15, fill: '#6B7280' }
}
function chartJsBarRows(payload, fallbackDrivers) {
const labels = payload?.data?.labels || []
const values = payload?.data?.datasets?.[0]?.data || []
const colors = payload?.data?.datasets?.[0]?.backgroundColor
if (labels.length && values.length) {
return labels.map((name, i) => ({
name: name.length > 42 ? `${name.slice(0, 40)}…` : name,
value: Number(values[i]),
fill: Array.isArray(colors) ? colors[i] : Number(values[i]) < 0 ? '#EF4444' : '#1D9E75',
}))
}
if (fallbackDrivers?.length) {
return fallbackDrivers.map((d) => {
const { v, fill } = driverBarFromStatus(d.status)
return {
name: String(d.factor || '—').length > 40 ? `${String(d.factor).slice(0, 38)}…` : String(d.factor || '—'),
value: v,
fill,
subtitle: d.reason,
}
})
}
return []
}
function CorrelationScatterTile({ title, accent, payload }) {
const meta = payload?.metadata || {}
const pts = chartJsScatterPoints(payload)
const curve = lagDetailsToCurve(meta)
const hasChart = pts.length > 0 && meta.correlation != null
const r = Number(meta.correlation)
const strength =
!Number.isFinite(r) ? 'bad' : Math.abs(r) >= 0.35 ? 'good' : Math.abs(r) >= 0.15 ? 'warn' : 'bad'
const bestLag = meta.best_lag_days != null ? Number(meta.best_lag_days) : null
const maxLagAxis = curve.length ? Math.max(14, ...curve.map((d) => d.lag), bestLag || 0) : 28
return (
<div
className="card"
style={{
marginBottom: 0,
padding: 10,
borderLeft: `4px solid ${getStatusColor(strength)}`,
}}
>
<div style={{ fontSize: 11, fontWeight: 700, color: 'var(--text1)', marginBottom: 4 }}>{title}</div>
<div style={{ fontSize: 10, color: 'var(--text3)', lineHeight: 1.35, marginBottom: 6 }}>
r = {meta.correlation != null ? Number(meta.correlation).toFixed(3) : '—'}
{meta.best_lag_days != null ? ` · bestes Lag ${meta.best_lag_days} T` : ''}
{meta.metric ? ` · ${meta.metric}` : ''}
{meta.confidence ? ` · ${meta.confidence}` : ''}
</div>
{!hasChart ? (
<>
<div style={{ fontSize: 11, color: 'var(--text3)', marginBottom: curve.length ? 8 : 0 }}>
{meta.message || 'Keine Daten für diese Korrelation.'}
</div>
{curve.length > 0 && (
<div style={{ fontSize: 10, color: 'var(--text3)', marginBottom: 6 }}>
Lag-Sweep (kein Lag mit ≥15 Paaren): r über Lags — nur zur Einordnung.
</div>
)}
{curve.length > 0 && (
<ResponsiveContainer width="100%" height={120}>
<ComposedChart data={curve} margin={{ top: 4, right: 6, bottom: 4, left: -14 }}>
<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
<XAxis dataKey="lag" type="number" domain={[0, maxLagAxis]} tick={{ fontSize: 9, fill: 'var(--text3)' }} label={{ value: 'Lag (T)', fontSize: 9, fill: 'var(--text3)', offset: -2 }} />
<YAxis dataKey="r" domain={[-1, 1]} tick={{ fontSize: 9, fill: 'var(--text3)' }} width={36} label={{ value: 'r', fontSize: 9, fill: 'var(--text3)', angle: -90 }} />
<ReferenceLine y={0} stroke="var(--text3)" strokeDasharray="4 4" />
<Tooltip
contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 10 }}
formatter={(v, _n, item) => [`r = ${Number(v).toFixed(3)}`, `Lag ${item?.payload?.lag} T · n = ${item?.payload?.n_pairs ?? '—'}`]}
/>
<Line type="monotone" dataKey="r" stroke={accent} strokeWidth={2} dot={{ r: 3, fill: accent }} isAnimationActive={false} />
</ComposedChart>
</ResponsiveContainer>
)}
</>
) : curve.length >= 1 ? (
<>
<div style={{ fontSize: 9, color: 'var(--text3)', marginBottom: 4 }}>
Kurve: Pearson-r je Lag (Tage); starker Punkt = gewähltes bestes Lag.
</div>
<ResponsiveContainer width="100%" height={132}>
<ComposedChart data={curve} margin={{ top: 4, right: 6, bottom: 4, left: -14 }}>
<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
<XAxis dataKey="lag" type="number" domain={[0, maxLagAxis]} tick={{ fontSize: 9, fill: 'var(--text3)' }} />
<YAxis dataKey="r" domain={[-1, 1]} tick={{ fontSize: 9, fill: 'var(--text3)' }} width={36} />
<ReferenceLine y={0} stroke="var(--text3)" strokeDasharray="4 4" />
<Tooltip
contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 10 }}
formatter={(v, _n, item) => [`r = ${Number(v).toFixed(3)}`, `Lag ${item?.payload?.lag} T · n = ${item?.payload?.n_pairs ?? '—'}`]}
/>
<Line
type="monotone"
dataKey="r"
stroke={accent}
strokeWidth={2}
isAnimationActive={false}
dot={(props) => {
const { cx, cy, payload: pl } = props
if (cx == null || cy == null || !pl) return null
const isBest = bestLag != null && Number(pl.lag) === bestLag
return (
<circle
cx={cx}
cy={cy}
r={isBest ? 6 : 3.5}
fill={isBest ? 'var(--surface)' : accent}
stroke={isBest ? accent : 'none'}
strokeWidth={isBest ? 2.5 : 0}
/>
)
}}
/>
</ComposedChart>
</ResponsiveContainer>
</>
) : (
<ResponsiveContainer width="100%" height={118}>
<ScatterChart margin={{ top: 2, right: 4, bottom: 2, left: -18 }}>
<CartesianGrid strokeDasharray="3 3" stroke="var(--border)" />
<XAxis type="number" dataKey="x" domain={[0, 28]} tick={{ fontSize: 9, fill: 'var(--text3)' }} />
<YAxis type="number" dataKey="y" domain={[-1, 1]} tick={{ fontSize: 9, fill: 'var(--text3)' }} />
<ReferenceLine y={0} stroke="var(--text3)" strokeDasharray="4 4" />
<Tooltip contentStyle={{ background: 'var(--surface)', border: '1px solid var(--border)', borderRadius: 8, fontSize: 10 }} />
<Scatter name="r" data={pts} fill={accent} />
</ScatterChart>
</ResponsiveContainer>
)}
{meta.interpretation ? (
<div style={{ fontSize: 10, color: 'var(--text2)', marginTop: 6, lineHeight: 1.4 }}>{meta.interpretation}</div>
) : null}
</div>
)
}
function DriversImpactTile({ payload, driversFallback }) {
const meta = payload?.metadata || {}
const rows = chartJsBarRows(payload, driversFallback)
if (!rows.length) {
return (
<div className="card" style={{ padding: 12, borderLeft: '4px solid var(--border)' }}>
<div style={{ fontSize: 11, fontWeight: 700, marginBottom: 6 }}>C4 Einflussfaktoren</div>
<div style={{ fontSize: 11, color: 'var(--text3)' }}>{meta.message || 'Keine Treiber-Daten.'}</div>
</div>
)
}
const h = Math.min(220, Math.max(96, rows.length * 34))
return (
<div className="card" style={{ padding: 10, borderLeft: '4px solid var(--accent)' }}>
<div style={{ fontSize: 11, fontWeight: 700, marginBottom: 6 }}>C4 Einflussfaktoren</div>
<ResponsiveContainer width="100%" height={h}>
<BarChart data={rows} layout="vertical" margin={{ left: 2, right: 6, top: 2, bottom: 2 }}>
<XAxis type="number" domain={[-1.2, 1.2]} tick={{ fontSize: 9 }} />
<YAxis type="category" dataKey="name" width={112} tick={{ fontSize: 9, fill: 'var(--text2)' }} />
<Tooltip
content={({ active, payload: pp }) => {
if (!active || !pp?.length) return null
const p = pp[0].payload
return (
<div
style={{
background: 'var(--surface)',
border: '1px solid var(--border)',
padding: '8px 10px',
borderRadius: 8,
fontSize: 11,
maxWidth: 280,
}}
>
<div style={{ fontWeight: 600 }}>{p.name}</div>
{p.subtitle ? <div style={{ marginTop: 4, color: 'var(--text2)', lineHeight: 1.4 }}>{p.subtitle}</div> : null}
</div>
)
}}
/>
<Bar dataKey="value" radius={[0, 4, 4, 0]}>
{rows.map((e, i) => (
<Cell key={i} fill={e.fill} />
))}
</Bar>
</BarChart>
</ResponsiveContainer>
</div>
)
}
/**
* Verlauf «Gesamt» / Dashboard-Widget: Layer-2b history-overview-viz (+ chart_payloads C1–C4).
*
* @param {object} props
* @param {import('react').ReactNode} [props.footer]
* @param {number} [props.externalPeriod] — feste Tage (Widget); sonst interner PeriodSelector (30…9999)
* @param {boolean} [props.hidePeriodSelector]
* @param {boolean} [props.embedded]
* @param {Record<string, unknown>} [props.visibility] — normalisierte Widget-Config; undefined = Verlauf volle Ansicht
*/
export default function HistoryOverviewVizSection({
footer = null,
externalPeriod,
hidePeriodSelector = false,
embedded = false,
visibility: visibilityProp,
}) {
const navigate = useNavigate()
const [period, setPeriod] = useState(30)
const [bundle, setBundle] = useState(null)
const [err, setErr] = useState(null)
const [loading, setLoading] = useState(true)
const effPeriod = externalPeriod != null ? externalPeriod : period
const daysReq = effPeriod === 9999 ? 3650 : effPeriod
useEffect(() => {
let cancelled = false
setLoading(true)
const attachCharts = (overview, c1, c2, c3, c4) => {
if (!cancelled) {
setBundle({ overview, chartC1: c1, chartC2: c2, chartC3: c3, chartC4: c4 })
setErr(null)
}
}
const run = async () => {
try {
const overview = await api.getHistoryOverviewViz(daysReq)
const cp = overview?.chart_payloads
if (cp && cp.c1_weight_energy != null && cp.c2_protein_lbm != null && cp.c3_load_vitals != null && cp.c4_recovery_performance != null) {
attachCharts(overview, cp.c1_weight_energy, cp.c2_protein_lbm, cp.c3_load_vitals, cp.c4_recovery_performance)
} else {
const [chartC1, chartC2, chartC3, chartC4] = await Promise.all([
api.getWeightEnergyCorrelationChart(14),
api.getLbmProteinCorrelationChart(14),
api.getLoadVitalsCorrelationChart(14),
api.getRecoveryPerformanceChart(),
])
attachCharts(overview, chartC1, chartC2, chartC3, chartC4)
}
} catch (e) {
if (!cancelled) setErr(e.message || 'Laden fehlgeschlagen')
} finally {
if (!cancelled) setLoading(false)
}
}
run()
return () => {
cancelled = true
}
}, [daysReq])
if (loading) {
return (
<div>
{!embedded && <SectionHeader title="📊 Gesamtansicht" />}
{!hidePeriodSelector && externalPeriod == null && <PeriodSelector value={period} onChange={setPeriod} />}
<div className="spinner" style={{ margin: 24 }} />
</div>
)
}
if (err) {
return (
<div>
{!embedded && <SectionHeader title="📊 Gesamtansicht" />}
{!hidePeriodSelector && externalPeriod == null && <PeriodSelector value={period} onChange={setPeriod} />}
<div className="card" style={{ color: 'var(--danger)', marginTop: 8 }}>{err}</div>
</div>
)
}
const data = bundle?.overview
const chartC1 = bundle?.chartC1
const chartC2 = bundle?.chartC2
const chartC3 = bundle?.chartC3
const chartC4 = bundle?.chartC4
const lag = data?.lag_correlations || {}
const c4drivers = lag.recovery_performance?.drivers || []
const sections = data?.sections || []
const confUi = overviewConfidenceUi(data?.confidence)
const vis =
visibilityProp != null ? normalizeHistoryOverviewVizConfig(visibilityProp) : HISTORY_OVERVIEW_VIZ_PAGE_FULL
return (
<div>
{!embedded && <SectionHeader title="📊 Gesamtansicht" />}
{!hidePeriodSelector && externalPeriod == null && <PeriodSelector value={period} onChange={setPeriod} />}
{vis.show_confidence_banner && (
<div
style={{
display: 'flex',
flexWrap: 'wrap',
alignItems: 'center',
gap: 10,
marginBottom: 14,
padding: '10px 12px',
borderRadius: 12,
border: '1px solid var(--border)',
background: getStatusBg(confUi.tone),
borderLeft: `5px solid ${getStatusColor(confUi.tone)}`,
}}
>
<span style={{ fontSize: 20, lineHeight: 1 }}>{confUi.tone === 'good' ? '●' : confUi.tone === 'warn' ? '◐' : '○'}</span>
<div style={{ flex: 1, minWidth: 200 }}>
<div style={{ fontSize: 13, fontWeight: 700, color: 'var(--text1)' }}>{confUi.label}</div>
<div style={{ fontSize: 11, color: 'var(--text2)', marginTop: 2 }}>{confUi.hint}</div>
</div>
</div>
)}
{vis.show_intro_blurb && (
<p style={{ fontSize: 11, color: 'var(--text3)', lineHeight: 1.45, marginBottom: 14 }}>
KPIs und Texte kommen aus den Layer-2b-Bundles (Körper, Ernährung, Fitness, Erholung).{' '}
<strong>Ehem. «Korrelation»-Charts</strong> (Bilanz, Protein/Mager, Kurz-Einordnung) liegen unter{' '}
<button type="button" className="btn btn-secondary" style={{ fontSize: 11, padding: '2px 8px' }} onClick={() => navigate('/history', { state: { tab: 'nutrition' } })}>
Ernährung
</button>
. Die Kacheln C1–C4 entsprechen denselben Chart.js-Payloads wie <code style={{ fontSize: 10 }}>/api/charts/*</code> (bei aktuellem Backend im Overview-Bundle enthalten).
</p>
)}
{vis.show_area_summaries && (sections.length === 0 ? (
<EmptySection text="Keine Bereichsdaten." />
) : (
<div style={{ display: 'grid', gridTemplateColumns: '1fr', gap: 10 }}>
{sections.map((sec) => {
const tone = overviewSectionTone(sec)
const stripe = getStatusColor(tone)
const badgeBg = getStatusBg(tone)
return (
<div
key={sec.id}
style={{
borderRadius: 12,
border: '1px solid var(--border)',
borderLeft: `5px solid ${stripe}`,
background: 'var(--surface)',
padding: '12px 12px 12px 14px',
boxShadow: tone === 'bad' ? '0 0 0 1px rgba(216,90,48,0.12)' : undefined,
}}
>
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'flex-start', gap: 8, marginBottom: 8 }}>
<div style={{ display: 'flex', alignItems: 'center', gap: 10 }}>
<span
style={{
display: 'inline-flex',
alignItems: 'center',
justifyContent: 'center',
minWidth: 30,
height: 30,
borderRadius: 10,
fontSize: 13,
fontWeight: 800,
color: stripe,
background: badgeBg,
}}
>
{tone === 'good' ? '✓' : tone === 'warn' ? '!' : '!!'}
</span>
<div style={{ fontSize: 15, fontWeight: 700 }}>{sec.title}</div>
</div>
<button
type="button"
className="btn btn-secondary"
style={{ fontSize: 11, padding: '4px 10px', flexShrink: 0 }}
onClick={() => navigate('/history', { state: { tab: sec.tab_id } })}
>
Öffnen
</button>
</div>
<div style={{ fontSize: 12, color: 'var(--text2)', marginBottom: 10, lineHeight: 1.45 }}>{sec.summary_line}</div>
{(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 ${getStatusColor(k.status || 'good')}55`,
}}
>
<div style={{ fontSize: 9, color: 'var(--text3)', textTransform: 'uppercase', letterSpacing: '0.04em' }}>{k.category}</div>
<div style={{ fontSize: 14, fontWeight: 700, color: getStatusColor(k.status || 'good'), marginTop: 2 }}>{k.value}</div>
{k.sublabel ? <div style={{ fontSize: 9, color: 'var(--text3)', marginTop: 2 }}>{k.sublabel}</div> : null}
</div>
))}
</div>
)}
{(sec.interpretation_short || []).map((it, i) => (
<div key={`in-${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>
))}
{vis.show_correlation_c1_c3 && (
<>
<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>
</>
)}
{vis.show_drivers_c4 && (
<>
<div style={{ fontSize: 12, fontWeight: 700, color: 'var(--text1)', margin: '18px 0 10px' }}>Einflussfaktoren (C4)</div>
<DriversImpactTile payload={chartC4} driversFallback={c4drivers} />
</>
)}
{footer}
</div>
)
}