import { useState, useMemo } from 'react'
import { useQuery, keepPreviousData } from '@tanstack/react-query'
import {
AreaChart, Area, BarChart, Bar, ReferenceLine,
XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Cell,
} from 'recharts'
import { format, subDays } from 'date-fns'
import api from '../utils/api'
import { formatSleep, sportIcon } from '../utils/format'
const RANGES = [
{ label: '1W', days: 7 },
{ label: '2W', days: 14 },
{ label: '1M', days: 30 },
{ label: '3M', days: 90 },
{ label: '6M', days: 180 },
{ label: '1Y', days: 365 },
{ label: '3Y', days: 1095 },
{ label: '5Y', days: 1825 },
]
// ── VO2 Max gauge ────────────────────────────────────────────────────────────
// Garmin/Cooper Institute VO2 max thresholds
// [maxAge, [fair_min, good_min, excellent_min, superior_min]]
// value < fair_min → Poor; >= superior_min → Superior
const VO2_MALE = [
[29, [41.7, 45.4, 51.1, 55.4]],
[39, [40.5, 44.0, 48.3, 54.0]],
[49, [38.5, 42.4, 46.4, 52.5]],
[59, [35.6, 39.2, 43.4, 48.9]],
[69, [32.3, 35.5, 39.5, 45.7]],
[Infinity, [29.4, 32.3, 36.7, 42.1]],
]
const VO2_FEMALE = [
[29, [36.1, 39.5, 43.9, 49.6]],
[39, [34.4, 37.8, 42.4, 47.4]],
[49, [33.0, 36.3, 39.7, 45.3]],
[59, [30.1, 33.0, 36.7, 41.1]],
[69, [27.5, 30.0, 33.0, 37.8]],
[Infinity, [25.9, 28.1, 30.9, 36.7]],
]
const VO2_CATEGORIES = [
{ label: 'Poor', color: '#ef4444' },
{ label: 'Fair', color: '#f97316' },
{ label: 'Good', color: '#22c55e' },
{ label: 'Excellent', color: '#3b82f6' },
{ label: 'Superior', color: '#a855f7' },
]
function getVo2Category(value, age, sex) {
const table = sex === 'female' ? VO2_FEMALE : VO2_MALE
const row = table.find(([maxAge]) => age <= maxAge) || table[table.length - 1]
const thresholds = row[1]
// thresholds are lower-bounds: count how many the value meets or exceeds
const idx = thresholds.reduce((n, t) => value >= t ? n + 1 : n, 0)
return VO2_CATEGORIES[idx]
}
function Vo2MaxGauge({ value, birthYear, biologicalSex }) {
const MIN = 30, MAX = 70
// cx/cy = centre of the semicircle; arc goes left→top→right (sweep=1, clockwise in SVG)
const cx = 70, cy = 74, r = 50, sw = 11
const age = birthYear ? new Date().getFullYear() - birthYear : 40
// Standard-math angle: PI = left (VO2 30), 0 = right (VO2 70)
const toAngle = v => Math.PI * (1 - Math.max(0, Math.min(1, (v - MIN) / (MAX - MIN))))
// SVG coordinates for a VO2 value at a given radius from centre
const toXY = (v, radius = r) => {
const a = toAngle(v)
return [cx + radius * Math.cos(a), cy - radius * Math.sin(a)]
}
// Arc path from VO2 v1 to v2; sweep=1 → clockwise = upper semicircle in SVG
const arc = (v1, v2, radius = r) => {
const [x1, y1] = toXY(v1, radius)
const [x2, y2] = toXY(v2, radius)
const large = 0 // gauge spans 180°, so no segment ever exceeds 180°
return `M ${x1.toFixed(2)} ${y1.toFixed(2)} A ${radius} ${radius} 0 ${large} 1 ${x2.toFixed(2)} ${y2.toFixed(2)}`
}
// ACSM category boundaries for this user's age/sex
const table = biologicalSex === 'female' ? VO2_FEMALE : VO2_MALE
const row = table.find(([maxAge]) => age <= maxAge) || table[table.length - 1]
const thresholds = row[1]
const bounds = [MIN, ...thresholds, MAX] // 6 boundary values for 5 colour bands
const cat = value != null ? getVo2Category(value, age, biologicalSex) : null
// White arrow: tip lands exactly at the arc centre-line at the value's angle;
// base extends outside the track — unambiguously marks the precise position.
const arrowPts = value != null ? (() => {
const a = toAngle(Math.max(MIN, Math.min(MAX, value)))
const tipR = r // tip at centre of the coloured track
const baseR = r + sw / 2 + 9 // base well outside the outer edge
const s = 0.09 // half-spread ≈ 5° — narrow for precision
const tipX = cx + tipR * Math.cos(a), tipY = cy - tipR * Math.sin(a)
const b1x = cx + baseR * Math.cos(a + s), b1y = cy - baseR * Math.sin(a + s)
const b2x = cx + baseR * Math.cos(a - s), b2y = cy - baseR * Math.sin(a - s)
return `${tipX.toFixed(1)},${tipY.toFixed(1)} ${b1x.toFixed(1)},${b1y.toFixed(1)} ${b2x.toFixed(1)},${b2y.toFixed(1)}`
})() : null
return (
)
}
const tooltipStyle = {
background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12,
}
// Normalise any date string to YYYY-MM-DD so XAxis values and ReferenceLine x match.
const d10 = (s) => (s || '').slice(0, 10)
// ── Daily Snapshot ──────────────────────────────────────────────────────────
function fmtTime(ts) {
if (!ts) return '--'
return new Date(ts).toLocaleTimeString('en-GB', { hour: '2-digit', minute: '2-digit' })
}
function IntradayHrChart({ values }) {
if (!values?.length) return null
const data = values.map(([ts, hr]) => ({ t: ts, hr }))
return (
format(new Date(ts), 'HH:mm')}
interval={Math.max(1, Math.floor(data.length / 6))} />
Math.round(v)} domain={['auto', 'auto']} />
format(new Date(ts), 'HH:mm')}
formatter={v => [`${Math.round(v)} bpm`, 'HR']} />
)
}
// ── Body Battery ─────────────────────────────────────────────────────────────
const BB_INFERRED_COLOR = {
sleep: '#4f46e5',
rest: '#0d9488',
activity: '#f97316',
stable: '#374151',
}
const BB_INFERRED_LABEL = {
sleep: 'Sleep',
rest: 'Rest',
activity: 'Active/Stress',
stable: 'Stable',
}
function bbLevelColor(level) {
if (level == null) return '#6b7280'
if (level >= 75) return '#3b82f6'
if (level >= 50) return '#22c55e'
if (level >= 25) return '#f59e0b'
return '#ef4444'
}
function inferBBType(tsMs, level, prevLevel, sleepStartMs, sleepEndMs) {
const inSleep = sleepStartMs != null && sleepEndMs != null && tsMs >= sleepStartMs && tsMs <= sleepEndMs
if (inSleep) return 'sleep'
if (prevLevel != null) {
if (level > prevLevel + 0.3) return 'rest'
if (level < prevLevel - 0.3) return 'activity'
}
return 'stable'
}
function ActivityRefLabel({ viewBox, icon }) {
if (!viewBox) return null
const { x, y } = viewBox
return (
{icon}
)
}
function BodyBatteryChart({ bb, hiresValues, sleepStart, sleepEnd, activities }) {
if (!bb) return null
const { charged, drained, start_level, end_level } = bb
if (!hiresValues?.length && !bb.values?.length && end_level == null) return null
const rawData = hiresValues?.length
? hiresValues.map(([ts, level]) => ({ t: ts, level }))
: (bb.values || []).map(([ts, level]) => ({ t: ts, level }))
if (!rawData.length) return null
const sleepStartMs = sleepStart ? new Date(sleepStart).getTime() : null
const sleepEndMs = sleepEnd ? new Date(sleepEnd).getTime() : null
const chartData = rawData.map((d, i) => ({
...d,
type: inferBBType(d.t, d.level, i > 0 ? rawData[i - 1].level : null, sleepStartMs, sleepEndMs),
}))
const presentTypes = [...new Set(chartData.map(d => d.type))]
const levelColor = bbLevelColor(end_level)
const maxLevel = chartData.length ? Math.max(...chartData.map(d => d.level)) : null
return (
Body Battery
{maxLevel != null && (
{Math.round(maxLevel)}
)}
{charged != null && (
+{charged}
)}
{drained != null && (
-{drained}
)}
{end_level != null && (
now {Math.round(end_level)}
)}
format(new Date(ts), 'HH:mm')}
interval={Math.max(1, Math.floor(chartData.length / 6))} />
v} ticks={[0, 25, 50, 75, 100]} />
format(new Date(ts), 'HH:mm')}
formatter={v => [`${Math.round(v)}`, 'Battery']} />
{chartData.map((d, i) => (
|
))}
{(activities || []).map(a => (
}
/>
))}
{presentTypes.map(type => (
{BB_INFERRED_LABEL[type]}
))}
)
}
// Proper sleep hypnogram: 4 horizontal lanes (Awake/REM/Light/Deep), time on X axis
const SLEEP_LANE_ORDER = [1, 4, 2, 3] // top→bottom: awake, rem, light, deep
const SLEEP_STAGE_COLOR = { 0: '#6b7280', 1: '#eab308', 2: '#a78bfa', 3: '#6366f1', 4: '#8b5cf6' }
const SLEEP_STAGE_LABEL = { 1: 'Awake', 2: 'Light', 3: 'Deep', 4: 'REM' }
const LANE_H = 15
function SleepHypnogram({ sleepStart, sleepEnd, stages }) {
if (!sleepStart || !sleepEnd || !stages?.length) return null
const startMs = new Date(sleepStart).getTime()
const endMs = new Date(sleepEnd).getTime()
const windowMs = endMs - startMs
if (windowMs <= 0) return null
// Build segments per lane
const segsByLane = {}
SLEEP_LANE_ORDER.forEach(lv => { segsByLane[lv] = [] })
stages.forEach(([tsMs, level], i) => {
if (!(level in segsByLane)) return
const nextTs = i + 1 < stages.length ? stages[i + 1][0] : endMs
const left = Math.max(0, (tsMs - startMs) / windowMs * 100)
const right = Math.min(100, (nextTs - startMs) / windowMs * 100)
const w = right - left
if (w > 0) segsByLane[level].push({ left, w })
})
// Hour ticks
const sh = new Date(startMs); sh.setMinutes(0, 0, 0); sh.setHours(sh.getHours() + 1)
const ticks = []
for (let t = sh.getTime(); t < endMs; t += 3600000) {
const pct = (t - startMs) / windowMs * 100
if (pct >= 0 && pct <= 100)
ticks.push({ pct, label: new Date(t).toLocaleTimeString('en-GB', { hour: '2-digit', minute: '2-digit' }) })
}
return (
{SLEEP_LANE_ORDER.map(level => (
{SLEEP_STAGE_LABEL[level]}
{segsByLane[level].map((seg, i) => (
))}
{ticks.map((t, i) => (
))}
))}
{new Date(startMs).toLocaleTimeString('en-GB', { hour: '2-digit', minute: '2-digit' })}
{ticks.map((t, i) => (
{t.label}
))}
{new Date(endMs).toLocaleTimeString('en-GB', { hour: '2-digit', minute: '2-digit' })}
)
}
function SleepStageFallbackBar({ deepS, remS, lightS, awakeS }) {
const total = (deepS || 0) + (remS || 0) + (lightS || 0) + (awakeS || 0)
if (!total) return null
const segments = [
{ label: 'Deep', s: deepS || 0, color: '#6366f1' },
{ label: 'REM', s: remS || 0, color: '#8b5cf6' },
{ label: 'Light', s: lightS || 0, color: '#a78bfa' },
{ label: 'Awake', s: awakeS || 0, color: '#eab308' },
].filter(seg => seg.s > 0)
return (
{segments.map(seg => (
))}
)
}
function HrvBadge({ status }) {
if (!status) return null
const palette = {
balanced: 'text-green-400 bg-green-400/10 border-green-400/30',
unbalanced: 'text-yellow-400 bg-yellow-400/10 border-yellow-400/30',
low: 'text-orange-400 bg-orange-400/10 border-orange-400/30',
poor: 'text-red-400 bg-red-400/10 border-red-400/30',
}
const cls = palette[status.toLowerCase()] || 'text-gray-400 bg-gray-400/10 border-gray-400/30'
return {status}
}
function NavArrow({ onClick, disabled, children }) {
return (
)
}
function DailySnapshot({ day, avg30, intradayHr, bodyBattery, bbHires, sleepStages, activities, latestVo2max, birthYear, biologicalSex, onOlder, onNewer, hasOlder, hasNewer }) {
if (!day) return (
📊
No health data yet
Import a Garmin export to see your daily snapshot
)
const dateLabel = day.date ? format(new Date(day.date), 'EEEE, d MMMM yyyy') : 'Latest'
const hasSleepStages = day.sleep_deep_s || day.sleep_light_s || day.sleep_rem_s
const stepsGoal = 10000
const stepsPct = day.steps ? Math.min(100, Math.round(day.steps / stepsGoal * 100)) : 0
const stressLabel = !day.avg_stress ? null
: day.avg_stress < 25 ? 'Restful'
: day.avg_stress < 50 ? 'Low'
: day.avg_stress < 75 ? 'Medium' : 'High'
const stressColor = !day.avg_stress ? 'text-white'
: day.avg_stress < 25 ? 'text-green-400'
: day.avg_stress < 50 ? 'text-yellow-400'
: day.avg_stress < 75 ? 'text-orange-400' : 'text-red-400'
return (
{/* Header + arrows */}
←
Daily snapshot
{dateLabel}
→
{/* Sleep (wide) + Heart / HRV */}
Sleep
{day.sleep_score != null && (
Score {Math.round(day.sleep_score)}
)}
{formatSleep(day.sleep_duration_s)}
{day.sleep_start && day.sleep_end && (
{fmtTime(day.sleep_start)} → {fmtTime(day.sleep_end)}
)}
{hasSleepStages ? (
<>
{sleepStages?.length ? (
) : (
)}
{[
['Deep', day.sleep_deep_s, '#6366f1'],
['REM', day.sleep_rem_s, '#8b5cf6'],
['Light', day.sleep_light_s, '#a78bfa'],
['Awake', day.sleep_awake_s, '#eab308'],
].map(([label, secs, color]) => secs ? (
{label} {formatSleep(secs)}
) : null)}
>
) : !day.sleep_duration_s ? (
No sleep data
) : null}
Heart & HRV
Resting HR
{day.resting_hr ? Math.round(day.resting_hr) : '--'}
bpm
{avg30?.resting_hr && day.resting_hr && (
30d avg {Math.round(avg30.resting_hr)}
{day.resting_hr < avg30.resting_hr
? ↓
: day.resting_hr > avg30.resting_hr
? ↑
: null}
)}
HRV
{day.hrv_nightly_avg ? Math.round(day.hrv_nightly_avg) : '--'}
ms
Avg HR (day)
{day.avg_hr_day ? Math.round(day.avg_hr_day) : '--'}
{day.max_hr_day && / {Math.round(day.max_hr_day)} max}
Weight
{day.weight_kg ? day.weight_kg.toFixed(1) : '--'}
{day.weight_kg && kg}
{day.body_fat_pct && {day.body_fat_pct.toFixed(1)}% fat}
{/* 24-hour heart rate chart + body battery (side by side) */}
{(intradayHr?.length > 0 || bodyBattery) && (
0 && bodyBattery ? 'grid-cols-1 lg:grid-cols-2' : 'grid-cols-1'}`}>
{intradayHr?.length > 0 && (
24-hour Heart Rate
{day.avg_hr_day && (
avg {Math.round(day.avg_hr_day)} bpm
)}
)}
)}
{/* Activity strip */}
Steps
{day.steps ? day.steps.toLocaleString() : '--'}
{day.steps ? (
<>
{stepsPct}% of {stepsGoal.toLocaleString()}
>
) : null}
{day.floors_climbed
?
{day.floors_climbed} floors
: null}
Calories
{day.total_calories
? Math.round(day.total_calories)
: day.active_calories ? Math.round(day.active_calories) : '--'}
kcal
{day.active_calories && day.total_calories && (
Active {Math.round(day.active_calories)} kcal
)}
Stress
{day.avg_stress ? Math.round(day.avg_stress) : '--'}
{day.avg_stress && /100}
{stressLabel &&
{stressLabel}
}
VO2 Max
{day.fitness_age &&
Fitness age {day.fitness_age}
}
)
}
// ── Trend Charts ────────────────────────────────────────────────────────────
function MetricChart({ data, dataKey, color, formatter, height = 140, selectedDate, onDayClick, connectNulls = false, showDots = false, domain, referenceLines }) {
const vals = data.filter(d => d[dataKey] != null)
if (!vals.length) return (
No data
)
return (
{
const p = evt?.activePayload?.[0]?.payload
if (p?.date && onDayClick) onDayClick(p.date)
}}
>
format(new Date(d), 'MMM d')} interval="preserveStartEnd" />
format(new Date(d), 'MMM d, yyyy')}
formatter={v => [formatter ? formatter(v) : v?.toFixed(1)]} />
{selectedDate && (
)}
{(referenceLines || []).map((rl, i) => (
))}
)
}
function SleepChart({ data, selectedDate, onDayClick }) {
const chartData = data.map(d => ({
date: d.date, // already normalised to YYYY-MM-DD
deep: d.sleep_deep_s ? +(d.sleep_deep_s / 3600).toFixed(2) : null,
rem: d.sleep_rem_s ? +(d.sleep_rem_s / 3600).toFixed(2) : null,
light: d.sleep_light_s ? +(d.sleep_light_s / 3600).toFixed(2) : null,
awake: d.sleep_awake_s ? +(d.sleep_awake_s / 3600).toFixed(2) : null,
}))
const hasData = chartData.some(d => d.deep || d.rem || d.light)
if (!hasData) return (
No sleep data
)
return (
{
const p = evt?.activePayload?.[0]?.payload
if (p?.date && onDayClick) onDayClick(p.date)
}}
>
format(new Date(d), 'MMM d')} interval="preserveStartEnd" />
`${v}h`} />
format(new Date(d), 'MMM d, yyyy')} />
{selectedDate && (
)}
)
}
// ── Page ─────────────────────────────────────────────────────────────────────
export default function HealthPage() {
const [rangeDays, setRangeDays] = useState(7)
const [selectedDateStr, setSelectedDateStr] = useState(null) // YYYY-MM-DD or null = latest
const fromDate = useMemo(
() => format(subDays(new Date(), rangeDays), 'yyyy-MM-dd'),
[rangeDays],
)
const { data: summary } = useQuery({
queryKey: ['health-summary'],
queryFn: () => api.get('/health-metrics/summary').then(r => r.data),
})
const { data: profile } = useQuery({
queryKey: ['profile'],
queryFn: () => api.get('/profile/').then(r => r.data),
})
// Full history for snapshot navigation.
// Key starts with ['health-metrics'] so UploadPage invalidation hits it automatically.
const { data: allDays } = useQuery({
queryKey: ['health-metrics', 'all'],
queryFn: () =>
api.get('/health-metrics/', { params: { limit: 2000 } })
.then(r => r.data.map(d => ({ ...d, date: d10(d.date) }))),
})
// Trend window (changes with range selector).
// Dates normalised to YYYY-MM-DD so XAxis values match ReferenceLine x.
const { data: rawMetrics, isLoading } = useQuery({
queryKey: ['health-metrics', rangeDays],
queryFn: () =>
api.get('/health-metrics/', { params: { from_date: fromDate, limit: rangeDays + 1 } })
.then(r => r.data.slice().reverse().map(d => ({ ...d, date: d10(d.date) }))),
placeholderData: keepPreviousData,
})
const metrics = rawMetrics || []
// Snapshot navigation: newest-first sorted list of all available days
const allDaysSorted = useMemo(
() => (allDays || []).slice().sort((a, b) => b.date.localeCompare(a.date)),
[allDays],
)
const selectedDay = useMemo(() => {
if (!selectedDateStr) return allDaysSorted[0] || null
return allDaysSorted.find(d => d.date === selectedDateStr) || null
}, [selectedDateStr, allDaysSorted])
const selectedIdx = useMemo(() => {
if (!selectedDay) return -1
return allDaysSorted.findIndex(d => d.date === selectedDay.date)
}, [selectedDay, allDaysSorted])
// Most recent day with a VO2 max reading (Garmin only updates it after certain activities)
const latestVo2max = useMemo(() => {
const found = allDaysSorted.find(d => d.vo2max != null)
return found ? found.vo2max : null
}, [allDaysSorted])
const { data: intradayData } = useQuery({
queryKey: ['health-intraday', selectedDay?.date],
queryFn: () => api.get('/health-metrics/intraday', { params: { date: selectedDay.date } }).then(r => r.data),
enabled: !!selectedDay?.date,
})
const { data: dayActivities } = useQuery({
queryKey: ['activities-day', selectedDay?.date],
queryFn: () => api.get('/activities/', { params: {
from_date: selectedDay.date + 'T00:00:00',
to_date: selectedDay.date + 'T23:59:59',
per_page: 20,
}}).then(r => r.data),
enabled: !!selectedDay?.date,
})
const handleDayClick = (dateStr) => setSelectedDateStr(d10(dateStr))
const goOlder = () => {
if (selectedIdx < allDaysSorted.length - 1)
setSelectedDateStr(allDaysSorted[selectedIdx + 1].date)
}
const goNewer = () => {
if (selectedIdx > 0)
setSelectedDateStr(allDaysSorted[selectedIdx - 1].date)
}
// The date string to highlight in charts (only shown if it falls within the current trend window)
const selDateForCharts = selectedDay?.date
return (
Health
= 0 && selectedIdx < allDaysSorted.length - 1}
hasNewer={selectedIdx > 0}
/>
Trends
Click any point to load that day above
{RANGES.map(({ label, days }) => (
))}
{isLoading ? (
Loading…
) : metrics.length > 0 ? (
Resting Heart Rate
Math.round(v)}
domain={[0, 200]}
selectedDate={selDateForCharts} onDayClick={handleDayClick} />
HRV (nightly avg)
`${Math.round(v)} ms`}
selectedDate={selDateForCharts} onDayClick={handleDayClick}
referenceLines={[
{ y: 20, stroke: '#f59e0b', strokeDasharray: '3 3', label: { value: 'Low', position: 'insideTopRight', fill: '#f59e0b', fontSize: 9 } },
{ y: 60, stroke: '#22c55e', strokeDasharray: '3 3', label: { value: 'Good', position: 'insideTopRight', fill: '#22c55e', fontSize: 9 } },
]}
/>
Sleep
{[['Deep','#6366f1'],['REM','#8b5cf6'],['Light','#a78bfa'],['Awake','#eab308']].map(([l,c]) => (
))}
Weight
d.weight_kg != null)}
dataKey="weight_kg" color="#34d399"
formatter={v => `${v.toFixed(1)} kg`}
selectedDate={selDateForCharts} onDayClick={handleDayClick}
connectNulls showDots />
Daily Steps
{
const p = evt?.activePayload?.[0]?.payload
if (p?.date) handleDayClick(p.date)
}}
>
format(new Date(d), 'MMM d')} interval="preserveStartEnd" />
v >= 1000 ? `${(v/1000).toFixed(0)}k` : v} />
format(new Date(d), 'MMM d, yyyy')} />
{selDateForCharts && (
)}
Stress Level
Math.round(v)}
domain={[0, 100]}
selectedDate={selDateForCharts} onDayClick={handleDayClick} />
Heart Rate
Math.round(v)}
domain={[0, 200]}
selectedDate={selDateForCharts} onDayClick={handleDayClick} />
{metrics.some(d => d.body_battery?.end_level != null) && (
Body Battery (end of day)
({ ...d, body_battery_level: d.body_battery?.end_level ?? null }))}
dataKey="body_battery_level" color="#3b82f6"
formatter={v => `${Math.round(v)}`}
selectedDate={selDateForCharts} onDayClick={handleDayClick} />
)}
{metrics.some(d => d.vo2max) && (
VO2 Max
v.toFixed(1)}
connectNulls showDots
selectedDate={selDateForCharts} onDayClick={handleDayClick} />
)}
) : (
No trend data for this period
Try a longer date range
)}
)
}