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 (
{title}
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}` : ''}
{!hasChart ? (
<>
{meta.message || 'Keine Daten für diese Korrelation.'}
{curve.length > 0 && (
Lag-Sweep (kein Lag mit ≥15 Paaren): r über Lags — nur zur Einordnung.
)}
{curve.length > 0 && (
[`r = ${Number(v).toFixed(3)}`, `Lag ${item?.payload?.lag} T · n = ${item?.payload?.n_pairs ?? '—'}`]}
/>
)}
>
) : curve.length >= 1 ? (
<>
Kurve: Pearson-r je Lag (Tage); starker Punkt = gewähltes bestes Lag.
[`r = ${Number(v).toFixed(3)}`, `Lag ${item?.payload?.lag} T · n = ${item?.payload?.n_pairs ?? '—'}`]}
/>
{
const { cx, cy, payload: pl } = props
if (cx == null || cy == null || !pl) return null
const isBest = bestLag != null && Number(pl.lag) === bestLag
return (
)
}}
/>
>
) : (
)}
{meta.interpretation ? (
{meta.interpretation}
) : null}
)
}
function DriversImpactTile({ payload, driversFallback }) {
const meta = payload?.metadata || {}
const rows = chartJsBarRows(payload, driversFallback)
if (!rows.length) {
return (
C4 Einflussfaktoren
{meta.message || 'Keine Treiber-Daten.'}
)
}
const h = Math.min(220, Math.max(96, rows.length * 34))
return (
C4 Einflussfaktoren
{
if (!active || !pp?.length) return null
const p = pp[0].payload
return (
{p.name}
{p.subtitle ?
{p.subtitle}
: null}
)
}}
/>
{rows.map((e, i) => (
|
))}
)
}
/**
* 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} [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 (
{!embedded &&
}
{!hidePeriodSelector && externalPeriod == null &&
}
)
}
if (err) {
return (
{!embedded &&
}
{!hidePeriodSelector && externalPeriod == null &&
}
{err}
)
}
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 (
{!embedded &&
}
{!hidePeriodSelector && externalPeriod == null &&
}
{vis.show_confidence_banner && (
{confUi.tone === 'good' ? '●' : confUi.tone === 'warn' ? '◐' : '○'}
{confUi.label}
{confUi.hint}
)}
{vis.show_intro_blurb && (
KPIs und Texte kommen aus den Layer-2b-Bundles (Körper, Ernährung, Fitness, Erholung).{' '}
Ehem. «Korrelation»-Charts (Bilanz, Protein/Mager, Kurz-Einordnung) liegen unter{' '}
navigate('/history', { state: { tab: 'nutrition' } })}>
Ernährung
. Die Kacheln C1–C4 entsprechen denselben Chart.js-Payloads wie /api/charts/* (bei aktuellem Backend im Overview-Bundle enthalten).
)}
{vis.show_area_summaries && (sections.length === 0 ? (
) : (
{sections.map((sec) => {
const tone = overviewSectionTone(sec)
const stripe = getStatusColor(tone)
const badgeBg = getStatusBg(tone)
return (
{tone === 'good' ? '✓' : tone === 'warn' ? '!' : '!!'}
{sec.title}
navigate('/history', { state: { tab: sec.tab_id } })}
>
Öffnen
{sec.summary_line}
{(sec.kpi_short || []).length > 0 && (
{(sec.kpi_short || []).map((k, i) => (
{k.category}
{k.value}
{k.sublabel ?
{k.sublabel}
: null}
))}
)}
{(sec.interpretation_short || []).map((it, i) => (
))}
{(sec.heuristic_short || []).map((h, i) => (
))}
{(sec.insights_short || []).map((ins, i) => (
))}
)
})}
))}
{vis.show_correlation_c1_c3 && (
<>
Lag-Korrelationen (C1–C3)
>
)}
{vis.show_drivers_c4 && (
<>
Einflussfaktoren (C4)
>
)}
{footer}
)
}