trumpsignal-frontend/app/[locale]/analytics/AnalyticsPageClient.tsx

'use client'

import { useState, useEffect } from 'react'
import { useLocale } from 'next-intl'
import { useAccount } from 'wagmi'
import { getPerformance, getTrades, getSignalAccuracy } from '@/lib/api'
import type { BotPerformance, BotTrade } from '@/types'
import type { SignalAccuracy } from '@/lib/api'
import { getCachedViewEnvelope } from '@/lib/signedRequest'
import PageHint from '@/components/ui/PageHint'
import InfoTip from '@/components/ui/InfoTip'

type Period = '7d' | '30d' | '90d' | 'All'

function fmtMoney(n: number) {
  if (n == null || isNaN(n)) return '—'
  const abs = Math.abs(n)
  const s = abs.toLocaleString('en-US', { maximumFractionDigits: 0 })
  if (n < 0) return '-$' + s
  if (n > 0) return '+$' + s
  return '$' + s
}

function fmtHold(s: number) {
  if (s < 60) return s + 's'
  const m = Math.floor(s / 60)
  if (m < 60) return m + 'm'
  return Math.floor(m / 60) + 'h ' + (m % 60) + 'm'
}

function fmtAccuracyPct(pct: number | null | undefined) {
  return pct == null || Number.isNaN(pct) ? '—' : `${pct.toFixed(0)}%`
}

function inPeriod(iso: string, period: Period) {
  if (period === 'All') return true
  const days = Number.parseInt(period, 10)
  if (Number.isNaN(days)) return true
  const time = new Date(iso).getTime()
  return time >= Date.now() - days * 24 * 60 * 60 * 1000
}

function calcDrawdownPct(trades: BotTrade[]) {
  const ordered = [...trades]
    .filter((t) => t.pnl_usd !== null && t.pnl_usd !== undefined)
    .sort((a, b) => new Date(a.closed_at).getTime() - new Date(b.closed_at).getTime())
  let equity = 0
  let peak = 0
  let maxDrawdownPct = 0

  for (const trade of ordered) {
    equity += trade.pnl_usd as number
    peak = Math.max(peak, equity)
    if (peak > 0) {
      maxDrawdownPct = Math.max(maxDrawdownPct, ((peak - equity) / peak) * 100)
    }
  }

  return maxDrawdownPct
}

export default function AnalyticsPageClient() {
  const locale = useLocale()
  const isZh = false  // i18n shelved — Chinese branches kept as dead code for future revival; see messages/zh.json
  const { address, isConnected } = useAccount()
  const [perf, setPerf] = useState<BotPerformance | null>(null)
  const [trades, setTrades] = useState<BotTrade[]>([])
  const [accuracy, setAccuracy] = useState<SignalAccuracy | null>(null)
  const [period, setPeriod] = useState<Period>('30d')
  const [privateLocked, setPrivateLocked] = useState(false)

  useEffect(() => {
    let cancelled = false
    if (!address || !isConnected) {
      setPerf(null)
      setTrades([])
      setAccuracy(null)
      setPrivateLocked(false)
      return
    }
    ;(async () => {
      try {
        const sharedEnv = getCachedViewEnvelope('view_user', address)
        const perfEnv = getCachedViewEnvelope('view_performance', address) ?? sharedEnv
        const tradesEnv = getCachedViewEnvelope('view_trades', address) ?? sharedEnv
        if (!cancelled) setPrivateLocked(!perfEnv && !tradesEnv)
        const [p, t, a] = await Promise.all([
          perfEnv ? getPerformance(address, perfEnv).catch(() => null) : Promise.resolve(null),
          tradesEnv ? getTrades(address, tradesEnv, 100, 1).catch(() => []) : Promise.resolve([]),
          getSignalAccuracy().catch(() => null),
        ])
        if (!cancelled) {
          setPerf(p)
          setTrades(t)
          setAccuracy(a)
        }
      } catch {
        if (!cancelled) {
          setPerf(null)
          setTrades([])
        }
      }
    })()
    return () => { cancelled = true }
  }, [address, isConnected])

  const filteredTrades = trades.filter((trade) => inPeriod(trade.closed_at, period))
  const pricedTrades = filteredTrades.filter(
    (t) => t.pnl_usd !== null && t.pnl_usd !== undefined,
  )
  const pnls = pricedTrades.map((t) => t.pnl_usd as number)
  const totalPnl = pnls.reduce((s, p) => s + p, 0)
  const wins = pnls.filter((p) => p > 0).length
  const winRate = pricedTrades.length ? (wins / pricedTrades.length) * 100 : 0
  const bestTrade = pnls.length ? Math.max(...pnls) : 0
  const worstTrade = pnls.length ? Math.min(...pnls) : 0
  const avgTrade = pnls.length ? totalPnl / pnls.length : 0
  const avgHold = filteredTrades.length ? filteredTrades.reduce((sum, trade) => sum + trade.hold_seconds, 0) / filteredTrades.length : 0
  const maxDrawdown = period === '30d' && perf ? perf.max_drawdown_pct : calcDrawdownPct(filteredTrades)
  const summaryPnl = period === '30d' && perf && trades.length >= filteredTrades.length
    ? perf.net_pnl_usd
    : totalPnl

  const metrics = [
    { k: isZh ? '最大回撤' : 'Max drawdown', v: filteredTrades.length ? maxDrawdown.toFixed(1) + '%' : '—', sub: isZh ? '从高点到低点的最大跌幅' : 'Worst peak-to-trough', down: true,
      tip: 'Largest equity drop from a previous high. Tells you the worst losing streak you would have lived through.' },
    { k: isZh ? '总交易数' : 'Total trades', v: String(filteredTrades.length || '—'), sub: isZh ? '已平仓机器人交易' : 'Closed bot executions',
      tip: 'How many closed positions in this window. Open trades not counted.' },
    { k: isZh ? '平均持仓时间' : 'Avg hold time', v: filteredTrades.length ? fmtHold(Math.round(avgHold)) : '—', sub: isZh ? '按单笔计算' : 'Per trade',
      tip: 'Entry → exit duration averaged across every closed trade.' },
    { k: isZh ? '平均单笔盈亏' : 'Avg trade P&L', v: fmtMoney(avgTrade), sub: isZh ? '每笔交易均值' : 'Mean per trade', up: avgTrade > 0,
      tip: 'Total P&L ÷ number of trades. Positive = the strategy has edge per trade.' },
    { k: isZh ? '最佳单笔' : 'Best trade', v: fmtMoney(bestTrade), sub: isZh ? '单笔最大盈利' : 'Largest single win', up: true,
      tip: 'Biggest realized gain on one trade in this window.' },
    { k: isZh ? '最差单笔' : 'Worst trade', v: fmtMoney(worstTrade), sub: isZh ? '单笔最大亏损' : 'Largest single loss', down: true,
      tip: 'Biggest realized loss on one trade. Should be bounded by your stop-loss setting.' },
  ]

  return (
    <div className="page">
      <div className="page-head">
        <div>
          <h1 className="page-title">{isZh ? '分析面板' : 'Analytics'}</h1>
          <PageHint>
            Did the bot actually make money? Win rate, drawdown, average trade,
            and AI signal accuracy across the time window you pick on the right.
          </PageHint>
        </div>
        <div className="nav-tabs">
          {(['7d', '30d', '90d', 'All'] as const).map(p => (
            <button key={p} className={`nav-tab ${period === p ? 'active' : ''}`} onClick={() => setPeriod(p)}>{p}</button>
          ))}
        </div>
      </div>

      {privateLocked && (
        <div className="card" style={{ padding: 16, marginBottom: 20 }}>
          <div style={{ fontSize: 13, fontWeight: 600 }}>Private performance is locked.</div>
          <div style={{ fontSize: 12, color: 'var(--ink-3)', marginTop: 4, lineHeight: 1.6 }}>
            Load your settings once to unlock cached trade history and wallet-specific performance. Public signal-accuracy data below remains available.
          </div>
        </div>
      )}

      <div className="card" style={{ padding: 28, marginBottom: 20 }}>
        <div className="row between" style={{ alignItems: 'flex-start', marginBottom: 20 }}>
          <div>
            <div className="tiny">{isZh ? '表现' : 'Performance'} · {period}</div>
            <div className="hero-value mono" style={{ marginTop: 6, fontSize: 40 }}>
              {filteredTrades.length ? fmtMoney(summaryPnl) : '—'}
            </div>
            <div className="row gap-s" style={{ marginTop: 8 }}>
              <span className={`chip ${winRate >= 50 ? 'up' : 'down'}`}>{winRate.toFixed(1)}% {isZh ? '胜率' : 'win rate'}</span>
              <span className="chip">{isZh ? `${filteredTrades.length} 笔交易` : `${filteredTrades.length} trades`}</span>
            </div>
          </div>
        </div>
      </div>

      <div className="metric-grid" style={{ marginBottom: 20 }}>
        {metrics.map(m => (
          <div key={m.k} className="card" style={{ padding: 20, overflow: 'visible' }}>
            <div className="tiny" style={{ marginBottom: 8, display: 'flex', alignItems: 'center' }}>
              {m.k}
              {m.tip && <InfoTip text={m.tip} placement="top" width={240} />}
            </div>
            <div className={`mono ${m.up ? 'delta up' : m.down ? 'delta down' : ''}`} style={{ fontSize: 24, fontWeight: 500, letterSpacing: '-0.01em' }}>{m.v}</div>
            <div style={{ fontSize: 12, color: 'var(--ink-3)', marginTop: 4 }}>{m.sub}</div>
          </div>
        ))}
      </div>

      {accuracy && (
        <div className="card" style={{ padding: 24, marginBottom: 20 }}>
          <div className="tiny" style={{ marginBottom: 16 }}>{isZh ? `AI 信号准确率 · ${accuracy.total_directional_signals} 条方向性信号` : `AI Signal Accuracy · ${accuracy.total_directional_signals} directional signals`}</div>
          <div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(200px, 1fr))', gap: 12 }}>
            <div style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '14px 16px' }}>
              <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>{isZh ? '整体' : 'Overall'}</div>
              {(['m5','m15','m1h'] as const).map(w => {
                const d = accuracy.overall[w]
                const pct = d.accuracy_pct
                const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
                return (
                  <div key={w} className="row between" style={{ marginBottom: 4 }}>
                    <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w.replace('m','').replace('1h','1h')}</span>
                    <span style={{ fontSize: 13, fontWeight: 600, color, fontVariantNumeric: 'tabular-nums' }}>{fmtAccuracyPct(pct)}</span>
                  </div>
                )
              })}
              <div style={{ fontSize: 11, color: 'var(--ink-3)', marginTop: 6 }}>{isZh ? `${accuracy.overall.m5.checked} 条已测` : `${accuracy.overall.m5.checked} measured`}</div>
            </div>
            {Object.entries(accuracy.by_signal).map(([sig, data]) => {
              const label = sig === 'buy' ? (isZh ? '🟢 做多' : '🟢 Buy') : sig === 'short' ? (isZh ? '🔴 做空' : '🔴 Short') : (isZh ? '🟡 卖出' : '🟡 Sell')
              return (
                <div key={sig} style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '14px 16px' }}>
                  <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>{label} <span style={{ fontWeight: 400 }}>({data.count})</span></div>
                  {(['m5','m15','m1h'] as const).map(w => {
                    const d = data[w]
                    if (d.checked < 2) return (
                      <div key={w} className="row between" style={{ marginBottom: 4 }}>
                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w}</span>
                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>—</span>
                      </div>
                    )
                    const pct = d.accuracy_pct
                    const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
                    return (
                      <div key={w} className="row between" style={{ marginBottom: 4 }}>
                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w}</span>
                        <span style={{ fontSize: 13, fontWeight: 600, color, fontVariantNumeric: 'tabular-nums' }}>{fmtAccuracyPct(pct)}</span>
                      </div>
                    )
                  })}
                  <div style={{ fontSize: 11, color: 'var(--ink-3)', marginTop: 6 }}>{isZh ? `${data.m5.checked} 条已测` : `${data.m5.checked} measured`}</div>
                </div>
              )
            })}
          </div>
        </div>
      )}

      {!filteredTrades.length && (
        <div className="card" style={{ padding: 60, textAlign: 'center', color: 'var(--ink-3)' }}>
          <p style={{ fontSize: 14 }}>
            {!isConnected || !address
              ? (isZh ? '连接钱包以加载你的分析数据。' : 'Connect your wallet to load your analytics.')
              : trades.length
              ? (isZh ? `${period} 时间窗内还没有已平仓交易。` : `No trades closed in the ${period} window yet.`)
              : (isZh ? '还没有交易数据。机器人开始执行后，这里会自动出现统计。' : 'No trade data yet. The bot will populate analytics once it starts executing.')}
          </p>
        </div>
      )}
    </div>
  )
}