TimoTimeAimGame.jsx

import React, { useState, useEffect, useRef } from "react";

/* ================================================================
   TiMO 시간 감각 게임 (데모데이 부스용) — v2
   Figma: V2T65AkSX2p5lbJwDvK53A / node 53:21590 기준 전면 개편
   ----------------------------------------------------------------
   흐름  : 대기 → (스태프: 숫자 + Enter) → 시작 대기 → (Space)
           → 게임 진행 → (Space) → 결과 링(3초) → 결과 카드 → (Enter) → 대기
   조작  : Space = 부저 / Enter = 확정·복귀 / Esc = 강제 복귀
   ================================================================ */

/* ---------------- 운영 설정 ---------------- */
const CONFIG = {
  judge: {
    perfect: 1.0, // Perfect ! : 오차 ±1초 이내 (1등)
    close: 3.0,   // 스티커     : 오차 ±3초 이내
  },
  ringScreenMs: 3000, // 결과 링 화면 유지 시간
};

/* ---------------- 디자인 토큰 (Figma 값) ---------------- */
const T = {
  blue: "#74A0F8",      // primitive/blue/300
  blueSoft: "#C6D8FC",  // Under 상태 결과 색
  blue50: "#F1F6FE",    // 컨트롤 버튼 배경
  yellow: "#F2FC9F",
  black: "#121212",     // START 버튼·본문 텍스트 (primitive/black)
  bg: "#000000",        // 다크 화면 배경 (시안 bg-black)
  white: "#FFFFFF",
  dim: "#7E7E7E",       // 시작 대기 보조 텍스트
  border: "#E6E8E8",
  font: "'Pretendard Variable', Pretendard, 'Noto Sans KR', Inter, -apple-system, sans-serif",
};

/* 시안 기준 1440×900 → 현재 뷰포트로 비율 유지 스케일 */
const S = (px) => `min(${(px / 1440) * 100}vw, ${(px / 900) * 100}vh)`;

/* ---------------- 에셋 ---------------- */
const LOGO_DARK = 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";
const CLOCK_PNGS = [
  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",
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/* ---------------- 시간 포맷 ---------------- */
const pad = (n) => String(n).padStart(2, "0");
const fmtMSC = (t) => { // 00:10:05
  t = Math.max(0, t);
  return `${pad(Math.floor(t / 60))}:${pad(Math.floor(t % 60))}:${pad(Math.floor((t * 100) % 100))}`;
};
const fmtSecs = (t) => `${(Math.max(0, t)).toFixed(1)}s`; // 11.3s

/* ---------------- 사운드 ---------------- */
let AC = null;
const ac = () => {
  if (!AC) AC = new (window.AudioContext || window.webkitAudioContext)();
  if (AC.state === "suspended") AC.resume();
  return AC;
};
const tone = (freq, dur, type = "sine", vol = 0.16, when = 0) => {
  try {
    const ctx = ac(), o = ctx.createOscillator(), g = ctx.createGain();
    o.type = type; o.frequency.value = freq;
    const t0 = ctx.currentTime + when;
    g.gain.setValueAtTime(0, t0);
    g.gain.linearRampToValueAtTime(vol, t0 + 0.012);
    g.gain.exponentialRampToValueAtTime(0.0001, t0 + dur);
    o.connect(g).connect(ctx.destination);
    o.start(t0); o.stop(t0 + dur + 0.05);
  } catch (e) { /* noop */ }
};
const snd = {
  start: () => { tone(660, 0.12, "square", 0.13); tone(990, 0.18, "square", 0.11, 0.1); },
  stop: () => tone(440, 0.16, "square", 0.15),
  pop: () => tone(1300 + Math.random() * 400, 0.07, "triangle", 0.11),
  result: () => { tone(523, 0.16); tone(659, 0.16, "sine", 0.16, 0.14); tone(784, 0.3, "sine", 0.16, 0.28); },
  fanfare: () => {
    [[523, 0], [659, 0.12], [784, 0.24], [1047, 0.38], [784, 0.56], [1047, 0.68]]
      .forEach(([f, w]) => tone(f, 0.28, "square", 0.14, w));
    [[262, 0], [330, 0.12], [392, 0.24], [523, 0.38]]
      .forEach(([f, w]) => tone(f, 0.4, "triangle", 0.09, w));
  },
};

/* ---------------- 판정 ---------------- */
function judge(targetSec, actualSec) {
  const diff = actualSec - targetSec;
  const abs = Math.abs(diff);
  if (abs <= CONFIG.judge.perfect) return { kind: "perfect", diff, abs, title: "Perfect !", color: T.blue };
  if (diff > 0) return { kind: "over", diff, abs, title: "Over !!", color: T.yellow };
  return { kind: "under", diff, abs, title: "Under ..", color: T.white };
}

/* ---------------- 상단 헤딩 (시안: top 122px, 43.95px Bold) ---------------- */
function Heading({ children, color = T.white }) {
  return (
    <div style={{
      position: "absolute", top: S(122), left: "50%", transform: "translateX(-50%)",
      fontWeight: 700, fontSize: S(43.95), letterSpacing: "-0.01em",
      color, whiteSpace: "nowrap", lineHeight: 1.2,
    }}>{children}</div>
  );
}

/* ---------------- 도넛 링 타이머 ----------------
   시안 스펙: 414×414, innerRadius 0.809 도넛 2겹
     · ready   : base 흰색 (가득 찬 원)
     · over    : base 파랑 + 초과분 옐로 arc
     · perfect : base 파랑 + 파랑 arc (전체 파랑)
     · under   : base 파랑 + 미달분 흰색 arc                   */
function DonutTimer({ state, targetSec = 1, actualSec = 0, label, labelColor }) {
  const SIZE = 414, R = SIZE / 2, INNER = R * 0.8089521527290344;
  const midR = (R + INNER) / 2, thick = R - INNER;
  const C = 2 * Math.PI * midR;

  let baseColor = T.white, arcColor = null, arcRatio = 0;
  if (state === "ready") {
    baseColor = T.white;
  } else if (state === "perfect") {
    baseColor = T.blue; arcColor = T.blue; arcRatio = 1;
  } else if (state === "over") {
    // 초과분 만큼 옐로 — 베이스(파랑)가 항상 보이도록 최대 0.92바퀴로 제한
    baseColor = T.blue;
    arcColor = T.yellow;
    arcRatio = Math.min(Math.max((actualSec - targetSec) / targetSec, 0), 0.92);
  } else if (state === "under") {
    // 미달분 만큼 흰색 — 동일하게 상한 적용
    baseColor = T.blue;
    arcColor = T.white;
    arcRatio = Math.min(Math.max((targetSec - actualSec) / targetSec, 0), 0.92);
  }

  return (
    <div style={{ position: "relative", width: S(SIZE), height: S(SIZE), flexShrink: 0 }}>
      <svg viewBox={`0 0 ${SIZE} ${SIZE}`} style={{ position: "absolute", inset: 0, width: "100%", height: "100%", transform: "rotate(-90deg)" }}>
        <circle cx={R} cy={R} r={midR} fill="none" stroke={baseColor} strokeWidth={thick} />
        {arcColor && arcRatio > 0 && (
          <circle cx={R} cy={R} r={midR} fill="none" stroke={arcColor} strokeWidth={thick}
            strokeDasharray={C} strokeDashoffset={C * (1 - arcRatio)}
            style={{ transition: "stroke-dashoffset .6s ease" }} />
        )}
      </svg>
      <div style={{ position: "absolute", inset: 0, display: "flex", alignItems: "center", justifyContent: "center" }}>
        <span style={{
          fontWeight: 700, fontSize: S(57.5), color: labelColor || T.white,
          letterSpacing: "-0.03em", fontVariantNumeric: "tabular-nums", whiteSpace: "nowrap", lineHeight: 1.5,
        }}>{label}</span>
      </div>
    </div>
  );
}

/* ---------------- 컨트롤 버튼 (시안: 66.7px 원, #F1F6FE, gap 23) ---------------- */
function ControlBar({ playing }) {
  const Btn = ({ children, pulse }) => (
    <div style={{
      width: S(66.7), height: S(66.7), borderRadius: "50%", background: T.blue50,
      display: "flex", alignItems: "center", justifyContent: "center", flexShrink: 0,
      animation: pulse ? "timoPulse 2s ease-in-out infinite" : "none",
    }}>{children}</div>
  );
  // 시안: 아이콘 프레임 27.6px (버튼의 41%) — 글리프가 프레임을 거의 가득 채움
  const ico = { width: S(27.6), height: S(27.6), fill: T.blue, display: "block" };
  return (
    <div style={{ display: "flex", gap: S(23), alignItems: "center" }}>
      {/* 정지: 라운드 사각형이 프레임 전체를 채움 */}
      <Btn><svg viewBox="0 0 24 24" style={ico}><rect x="3" y="3" width="18" height="18" rx="3.5" /></svg></Btn>
      <Btn pulse={!playing}>
        {playing
          ? <svg viewBox="0 0 24 24" style={ico}><rect x="4" y="2.5" width="5.5" height="19" rx="2" /><rect x="14.5" y="2.5" width="5.5" height="19" rx="2" /></svg>
          : <svg viewBox="0 0 24 24" style={{ ...ico, marginLeft: "7%" }}><path d="M5 3.2v17.6a1.2 1.2 0 0 0 1.83 1.02l14.3-8.8a1.2 1.2 0 0 0 0-2.04L6.83 2.18A1.2 1.2 0 0 0 5 3.2z" /></svg>}
      </Btn>
      {/* 플러스: 팔 길이가 프레임 끝까지 */}
      <Btn><svg viewBox="0 0 24 24" style={ico}><path d="M10.4 2.5h3.2v7.9h7.9v3.2h-7.9v7.9h-3.2v-7.9H2.5v-3.2h7.9z" /></svg></Btn>
    </div>
  );
}

/* ---------------- 대기 화면 로티 ---------------- */
function LottieClock() {
  const boxRef = useRef(null);
  const [failed, setFailed] = useState(false);
  useEffect(() => {
    let anim = null, cancelled = false;
    const mount = () => {
      if (cancelled || !window.lottie || !boxRef.current) return;
      try {
        anim = window.lottie.loadAnimation({
          container: boxRef.current, renderer: "svg", loop: true, autoplay: true,
          animationData: JSON.parse(JSON.stringify(CLOCK_LOTTIE)),
        });
      } catch (e) { setFailed(true); }
    };
    if (window.lottie) mount();
    else {
      const s = document.createElement("script");
      s.src = "https://cdnjs.cloudflare.com/ajax/libs/bodymovin/5.12.2/lottie_svg.min.js";
      s.onload = mount; s.onerror = () => setFailed(true);
      document.head.appendChild(s);
    }
    return () => { cancelled = true; if (anim) anim.destroy(); };
  }, []);
  if (failed) return <img src={CLOCK_PNGS[0]} alt="" style={{ width: "100%", height: "100%", objectFit: "contain" }} />;
  return <div ref={boxRef} style={{ width: "100%", height: "100%" }} />;
}

/* ---------------- [1] 대기 화면 (Slide 1) ---------------- */
function AttractScreen({ staffBuf }) {
  return (
    <div style={{ position: "absolute", inset: 0, background: T.white, display: "flex", alignItems: "center", justifyContent: "center" }}>
      <div style={{ display: "flex", alignItems: "center", gap: S(219) }}>
        <div style={{ width: S(500), height: S(496), flexShrink: 0 }}>
          <LottieClock />
        </div>
        <div style={{
          background: T.white, border: `1px solid ${T.border}`, borderRadius: S(4),
          filter: "drop-shadow(0px 0px 1.5px rgba(0,0,0,0.12))",
          padding: `${S(64)} ${S(50)}`, flexShrink: 0,
          display: "flex", flexDirection: "column", alignItems: "center",
        }}>
          <div style={{ display: "flex", flexDirection: "column", alignItems: "center", gap: S(130) }}>
            <div style={{ display: "flex", flexDirection: "column", alignItems: "center", gap: S(16), width: S(316) }}>
              <img src={LOGO_DARK} alt="TiMO" style={{ width: S(96), height: S(39), objectFit: "contain" }} />
              <div style={{ display: "flex", flexDirection: "column", alignItems: "center", gap: S(2), textAlign: "center", whiteSpace: "nowrap" }}>
                <p style={{ margin: 0, fontWeight: 500, fontSize: S(16), color: T.blue, letterSpacing: "-0.03em", lineHeight: 1.5 }}>
                  Less Chaos More Focus
                </p>
                <p style={{ margin: 0, fontWeight: 700, fontSize: S(18), color: T.black, letterSpacing: "-0.03em", lineHeight: 1.5 }}>
                  우리가 느끼는 시간은 실제와 얼마나 같을까요?
                </p>
              </div>
            </div>
            <div style={{
              background: T.black, borderRadius: S(30), padding: `${S(12)} ${S(40)}`,
              display: "flex", alignItems: "center", justifyContent: "center",
              animation: "timoPulse 2.4s ease-in-out infinite",
            }}>
              <p style={{ margin: 0, fontWeight: 600, fontSize: S(24), color: T.yellow, letterSpacing: "-0.03em", lineHeight: 1.5, whiteSpace: "nowrap" }}>
                START
              </p>
            </div>
          </div>
        </div>
      </div>
      <div style={{ position: "absolute", left: 26, bottom: 20, display: "flex", alignItems: "center", gap: 12 }}>
        {staffBuf && (
          <div style={{ background: T.black, color: T.yellow, borderRadius: 10, padding: "8px 16px", fontWeight: 700, fontSize: 19 }}>
            목표 {staffBuf}초
          </div>
        )}
        <div style={{ fontSize: 13, color: "#b5b5b5" }}>STAFF · 목표 시간(초) 숫자 입력 후 Enter</div>
      </div>
    </div>
  );
}

/* ---------------- [2] 시작 대기 (Slide 2) ---------------- */
function ReadyScreen({ targetSec }) {
  return (
    <div style={{ position: "absolute", inset: 0, background: T.bg }}>
      <Heading>
        <span style={{ color: T.white }}>부저</span>
        <span style={{ color: T.dim }}>를 눌러 시작해 보세요.</span>
      </Heading>
      <div style={{
        position: "absolute", left: "50%", top: S(221.77), transform: "translateX(-50%)",
        display: "flex", flexDirection: "column", alignItems: "center", gap: S(51.75),
      }}>
        <DonutTimer state="ready" label={fmtMSC(targetSec)} labelColor={T.white} />
        <ControlBar playing={false} />
      </div>
    </div>
  );
}

/* ---------------- [3] 게임 진행 (Slide 3) ----------------
   시계들이 비눗방울처럼 느리게 둥둥 떠다니며
   벽·모서리·시계끼리 부딪히면 반사 (스크린세이버 스타일)      */
const FLOAT = {
  count: 4,          // 동시에 떠다니는 시계 수 (시안과 동일)
  minSpeed: 22,      // px/초 — 비눗방울처럼 느리게
  maxSpeed: 42,
  minSize: 130,
  maxSize: 190,
  topBound: 0.24,    // 상단 헤딩 영역 회피 (화면 높이 비율)
};

function PlayScreen({ targetSec }) {
  const ballsRef = useRef([]);   // 물리 상태 (rAF 루프에서 직접 DOM 갱신)
  const elsRef = useRef({});

  useEffect(() => {
    const W = window.innerWidth, H = window.innerHeight;
    const top = H * FLOAT.topBound;

    // 빈 자리 찾아 재배치 (다른 시계와 겹치지 않게)
    const respawn = (b, balls) => {
      const W2 = window.innerWidth, H2 = window.innerHeight;
      const top2 = H2 * FLOAT.topBound;
      for (let tries = 0; tries < 60; tries++) {
        const x = b.r + Math.random() * (W2 - 2 * b.r);
        const y = top2 + b.r + Math.random() * (H2 - top2 - 2 * b.r);
        if (balls.every((o) => o === b || Math.hypot(o.x - x, o.y - y) > o.r + b.r + 12)) {
          b.x = x; b.y = y; break;
        }
      }
      const speed = FLOAT.minSpeed + Math.random() * (FLOAT.maxSpeed - FLOAT.minSpeed);
      const ang = Math.random() * Math.PI * 2;
      b.vx = Math.cos(ang) * speed; b.vy = Math.sin(ang) * speed;
      b.rot = Math.random() * 360;
    };

    // 초기 배치: 겹치지 않게 랜덤 스폰
    const balls = [];
    for (let i = 0; i < FLOAT.count; i++) {
      const size = FLOAT.minSize + Math.random() * (FLOAT.maxSize - FLOAT.minSize);
      const r = size / 2;
      let x = r, y = top + r;
      for (let tries = 0; tries < 60; tries++) {
        x = r + Math.random() * (W - 2 * r);
        y = top + r + Math.random() * (H - top - 2 * r);
        if (balls.every((b) => Math.hypot(b.x - x, b.y - y) > b.r + r + 12)) break;
      }
      const speed = FLOAT.minSpeed + Math.random() * (FLOAT.maxSpeed - FLOAT.minSpeed);
      const ang = Math.random() * Math.PI * 2;
      balls.push({
        id: i, x, y, r,
        vx: Math.cos(ang) * speed, vy: Math.sin(ang) * speed,
        rot: Math.random() * 360, vr: -8 + Math.random() * 16, // 느린 자체 회전 (deg/초)
        state: "alive", scale: 1,
      });
      const el = elsRef.current[i];
      if (el) { el.style.width = `${size}px`; el.style.height = `${size}px`; }
    }
    ballsRef.current = balls;

    let raf, last = performance.now(), running = true;
    const step = (now) => {
      if (!running) return;
      const dt = Math.min((now - last) / 1000, 0.05); // 탭 전환 시 점프 방지
      last = now;
      const W2 = window.innerWidth, H2 = window.innerHeight;
      const top2 = H2 * FLOAT.topBound;
      const bs = ballsRef.current;

      for (const b of bs) {
        // 클릭 팝 → 축소 → 새 위치에서 다시 등장
        if (b.state === "dying") {
          b.scale -= dt * 7;
          if (b.scale <= 0) { b.scale = 0; respawn(b, bs); b.state = "spawning"; }
          continue; // 사라지는 동안은 이동/충돌 없음
        }
        if (b.state === "spawning") {
          b.scale += dt * 5;
          if (b.scale >= 1) { b.scale = 1; b.state = "alive"; }
        }
        // 이동 + 벽/모서리 반사
        b.x += b.vx * dt; b.y += b.vy * dt; b.rot += b.vr * dt;
        if (b.x - b.r < 0) { b.x = b.r; b.vx = Math.abs(b.vx); }
        if (b.x + b.r > W2) { b.x = W2 - b.r; b.vx = -Math.abs(b.vx); }
        if (b.y - b.r < top2) { b.y = top2 + b.r; b.vy = Math.abs(b.vy); }
        if (b.y + b.r > H2) { b.y = H2 - b.r; b.vy = -Math.abs(b.vy); }
      }
      // 시계끼리 탄성 충돌 — alive 상태끼리만
      for (let i = 0; i < bs.length; i++) {
        for (let j = i + 1; j < bs.length; j++) {
          const a = bs[i], c = bs[j];
          if (a.state !== "alive" || c.state !== "alive") continue;
          const dx = c.x - a.x, dy = c.y - a.y;
          const dist = Math.hypot(dx, dy), minD = a.r + c.r;
          if (dist > 0 && dist < minD) {
            const nx = dx / dist, ny = dy / dist;
            const push = (minD - dist) / 2;    // 겹침 해소
            a.x -= nx * push; a.y -= ny * push;
            c.x += nx * push; c.y += ny * push;
            const va = a.vx * nx + a.vy * ny;
            const vc = c.vx * nx + c.vy * ny;
            const d = vc - va;
            a.vx += d * nx; a.vy += d * ny;
            c.vx -= d * nx; c.vy -= d * ny;
          }
        }
      }
      // DOM 반영 (setState 없이 transform 직접 갱신 → 부드러운 60fps)
      for (const b of bs) {
        const el = elsRef.current[b.id];
        if (el) el.style.transform = `translate(${b.x - b.r}px, ${b.y - b.r}px) rotate(${b.rot}deg) scale(${b.scale})`;
      }
      raf = requestAnimationFrame(step);
    };
    raf = requestAnimationFrame(step);
    return () => { running = false; cancelAnimationFrame(raf); };
  }, []);

  // 클릭 → 팝 사운드와 함께 사라지고, 잠시 후 새 위치에서 하나 등장
  const popBall = (i) => {
    const b = ballsRef.current[i];
    if (b && b.state === "alive") { b.state = "dying"; snd.pop(); }
  };

  return (
    <div style={{ position: "absolute", inset: 0, background: T.bg, overflow: "hidden" }}>
      <Heading>
        <span style={{ color: T.white }}>{targetSec}초</span>
        <span style={{ color: "rgba(255,255,255,0.7)" }}>에 맞게 부저를 눌러 시간을 맞춰보세요</span>
      </Heading>
      {Array.from({ length: FLOAT.count }, (_, i) => (
        <img key={i} alt="" src={CLOCK_PNGS[i % CLOCK_PNGS.length]}
          ref={(el) => { elsRef.current[i] = el; }}
          onPointerDown={() => popBall(i)}
          draggable={false}
          style={{
            position: "absolute", left: 0, top: 0,
            width: FLOAT.minSize, height: FLOAT.minSize,
            objectFit: "contain", willChange: "transform", cursor: "pointer",
          }} />
      ))}
    </div>
  );
}

/* ---------------- [4] 결과 링 (Slide 4/5/6) ---------------- */
function RingResultScreen({ targetSec, actualSec }) {
  const j = judge(targetSec, actualSec);
  const labelColor = j.kind === "over" ? T.yellow : j.kind === "perfect" ? T.blue : T.white;
  return (
    <div style={{ position: "absolute", inset: 0, background: T.bg }}>
      <Heading color={j.color}>{j.title}</Heading>
      <div style={{
        position: "absolute", left: "50%", top: S(221.77), transform: "translateX(-50%)",
        display: "flex", flexDirection: "column", alignItems: "center", gap: S(51.75),
      }}>
        <DonutTimer state={j.kind} targetSec={targetSec} actualSec={actualSec}
          label={fmtMSC(actualSec)} labelColor={labelColor} />
        <ControlBar playing />
      </div>
    </div>
  );
}

/* ---------------- [5] 결과 카드 (Slide 7/8/9) ---------------- */
function ResultScreen({ targetSec, actualSec }) {
  const j = judge(targetSec, actualSec);
  const resultColor = j.kind === "over" ? T.yellow : j.kind === "perfect" ? T.blue : T.blueSoft;
  // 시안 좌표에서 파생: 카드 449×406, 카드 간 간격 26 (733-258-449),
  // 스탯 인셋 좌 45 (303-258) / 상 44 (332-288)
  const Card = ({ label, value, color }) => (
    <div style={{
      width: S(449), height: S(406), borderRadius: S(12),
      background: "rgba(255,255,255,0.12)", boxSizing: "border-box",
      padding: `${S(44)} ${S(45)}`,
      display: "flex", flexDirection: "column", gap: S(25.84),
    }}>
      <p style={{ margin: 0, fontWeight: 500, fontSize: S(65), color, letterSpacing: "-0.03em", lineHeight: 1.5, whiteSpace: "nowrap" }}>
        {label}
      </p>
      <p style={{ margin: 0, fontWeight: 700, fontSize: S(129.2), color, letterSpacing: "-0.03em", lineHeight: 1.5, whiteSpace: "nowrap", fontVariantNumeric: "tabular-nums" }}>
        {value}
      </p>
    </div>
  );
  return (
    <div style={{ position: "absolute", inset: 0, background: T.bg }}>
      <Heading color={j.color}>{j.title}</Heading>
      {/* 카드 그룹: 항상 화면 가로 중앙 정렬 */}
      <div style={{
        position: "absolute", top: S(288), left: "50%", transform: "translateX(-50%)",
        display: "flex", gap: S(26),
      }}>
        <Card label="목표" value={`${targetSec}s`} color={T.white} />
        <Card label="결과" value={fmtSecs(actualSec)} color={resultColor} />
      </div>
    </div>
  );
}

/* ---------------- 콘페티 ---------------- */
function Confetti({ active }) {
  const ref = useRef(null);
  useEffect(() => {
    const canvas = ref.current;
    if (!canvas) return;
    const ctx = canvas.getContext("2d");
    if (!active) { ctx.clearRect(0, 0, canvas.width, canvas.height); return; }
    canvas.width = window.innerWidth; canvas.height = window.innerHeight;
    const colors = [T.blue, T.yellow, T.white, "#a8c4fa", "#f7ffc4"];
    const parts = Array.from({ length: 180 }, () => ({
      x: Math.random() * canvas.width, y: -20 - Math.random() * canvas.height * 0.5,
      w: 6 + Math.random() * 8, h: 10 + Math.random() * 10,
      vy: 2.4 + Math.random() * 3.4, vx: -1.6 + Math.random() * 3.2,
      rot: Math.random() * Math.PI, vr: -0.12 + Math.random() * 0.24,
      c: colors[Math.floor(Math.random() * colors.length)],
    }));
    let raf, running = true;
    const loop = () => {
      ctx.clearRect(0, 0, canvas.width, canvas.height);
      let alive = false;
      parts.forEach((p) => {
        p.y += p.vy; p.x += p.vx; p.rot += p.vr;
        if (p.y < canvas.height + 30) alive = true;
        ctx.save(); ctx.translate(p.x, p.y); ctx.rotate(p.rot);
        ctx.fillStyle = p.c; ctx.fillRect(-p.w / 2, -p.h / 2, p.w, p.h); ctx.restore();
      });
      if (alive && running) raf = requestAnimationFrame(loop);
      else { ctx.clearRect(0, 0, canvas.width, canvas.height); running = false; }
    };
    loop();
    return () => { running = false; cancelAnimationFrame(raf); ctx.clearRect(0, 0, canvas.width, canvas.height); };
  }, [active]);
  return <canvas ref={ref} style={{ position: "fixed", inset: 0, pointerEvents: "none", zIndex: 50 }} />;
}

/* ================= 루트 ================= */
export default function TimoTimeAimGame() {
  const [state, setState] = useState("attract"); // attract | ready | play | ring | result
  const [staffBuf, setStaffBuf] = useState("");
  const [targetSec, setTargetSec] = useState(0);
  const [actualSec, setActualSec] = useState(0);
  const startTsRef = useRef(0);
  const stateRef = useRef(state);
  stateRef.current = state;

  useEffect(() => {
    if (state !== "play") return;
    let n = 0;
    const iv = setInterval(() => {
      tone(n % 2 ? 1180 : 1560, 0.045, "square", 0.08);
      if (n % 4 === 0) tone([392, 440, 494, 587][(n / 4) % 4], 0.22, "sine", 0.045);
      n++;
    }, 500);
    return () => clearInterval(iv);
  }, [state]);

  useEffect(() => {
    if (state !== "ring") return;
    const t = setTimeout(() => {
      setState("result");
      if (Math.abs(actualSec - targetSec) <= CONFIG.judge.perfect) snd.fanfare();
      else snd.result();
    }, CONFIG.ringScreenMs);
    return () => clearTimeout(t);
  }, [state, actualSec, targetSec]);

  useEffect(() => {
    const onKey = (e) => {
      if (e.repeat) return;
      ac();
      const s = stateRef.current;
      if (e.code === "Escape") { setStaffBuf(""); setState("attract"); return; }
      if (s === "attract") {
        if (/^[0-9]$/.test(e.key)) setStaffBuf((b) => (b.length < 3 ? b + e.key : b));
        else if (e.code === "Backspace") setStaffBuf((b) => b.slice(0, -1));
        else if (e.code === "Enter") {
          setStaffBuf((b) => {
            const sec = parseInt(b, 10);
            if (sec >= 1 && sec <= 999) { setTargetSec(sec); setState("ready"); return ""; }
            return b;
          });
        }
      } else if (s === "ready" && e.code === "Space") {
        e.preventDefault(); snd.start();
        startTsRef.current = performance.now();
        setState("play");
      } else if (s === "play" && e.code === "Space") {
        e.preventDefault(); snd.stop();
        setActualSec((performance.now() - startTsRef.current) / 1000);
        setState("ring");
      } else if (s === "result" && e.code === "Enter") {
        setState("attract");
      }
    };
    const blockSpace = (e) => { if (e.code === "Space") e.preventDefault(); };
    window.addEventListener("keydown", onKey);
    window.addEventListener("keyup", blockSpace);
    return () => { window.removeEventListener("keydown", onKey); window.removeEventListener("keyup", blockSpace); };
  }, []);

  const isPerfect = Math.abs(actualSec - targetSec) <= CONFIG.judge.perfect;
  return (
    <div style={{ position: "fixed", inset: 0, overflow: "hidden", fontFamily: T.font, userSelect: "none", background: T.bg }}>
      <style>{`
        @import url('https://cdnjs.cloudflare.com/ajax/libs/pretendard/1.3.9/variable/pretendardvariable-dynamic-subset.min.css');
        @keyframes timoPulse { 0%,100% { transform: scale(1); } 50% { transform: scale(1.04); } }
      `}</style>
      {state === "attract" && <AttractScreen staffBuf={staffBuf} />}
      {state === "ready" && <ReadyScreen targetSec={targetSec} />}
      {state === "play" && <PlayScreen targetSec={targetSec} />}
      {state === "ring" && <RingResultScreen targetSec={targetSec} actualSec={actualSec} />}
      {state === "result" && <ResultScreen targetSec={targetSec} actualSec={actualSec} />}
      <Confetti active={state === "result" && isPerfect} />
    </div>
  );
}