From 6ffe0dfca379b99ed4ea65779c0ac51ab6d69352 Mon Sep 17 00:00:00 2001 From: hbyang Date: Wed, 10 Jun 2026 13:04:35 +0900 Subject: [PATCH] =?UTF-8?q?Refactor:=20Next.js+Firebase=20=E2=86=92=20Reac?= =?UTF-8?q?t(Vite)=20+=20FastAPI=20+=20PostgreSQL?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 백엔드: FastAPI + SQLAlchemy(async) + PostgreSQL, 별도 워커(APScheduler) - 프론트: React 19 + Vite + TS + Tailwind v4 (기존 UI 이식, API 연동) - docker-compose: db · api · worker · frontend 일괄 실행 - 경기 일정: openfootball 매일 09:00 크롤링 → DB upsert (신규 경기 자동 삽입+예측 생성) - AI 예측: GPT·Claude·Gemini 실 API 매일 생성 → DB 저장 → 조회 (목데이터 제거) - 투표창: 오픈 킥오프 D-2 / 마감 킥오프 1시간 전, lockAt 백엔드 전달→프론트 카운트다운 - 채점/리더보드: docs/SCORING.md 기준 누적 포인트 - crowd: 0 시작, 실제 제출로만 증분 - 구 Next.js/Firebase 파일 제거, README/AGENTS 갱신 Co-Authored-By: Claude Opus 4.8 (1M context) --- .firebaserc.example | 5 - .gitignore | 44 +- AGENTS.md | 49 +- README.md | 98 +- app/before/page.tsx | 251 - app/favicon.ico | Bin 25931 -> 0 bytes app/layout.tsx | 38 - app/leaderboard/page.tsx | 26 - app/match/[matchId]/page.tsx | 88 - app/page.tsx | 37 - backend/.env.example | 50 + backend/Dockerfile | 22 + backend/app/__init__.py | 0 backend/app/config.py | 89 + backend/app/database.py | 39 + backend/app/domain.py | 130 + backend/app/main.py | 49 + backend/app/models.py | 154 + backend/app/routers/__init__.py | 0 backend/app/routers/admin.py | 72 + backend/app/routers/leaderboard.py | 80 + backend/app/routers/matches.py | 47 + backend/app/routers/predictions.py | 116 + backend/app/schedule_data.py | 94 + backend/app/schemas.py | 127 + backend/app/scoring.py | 42 + backend/app/seed.py | 63 + backend/app/seed_data.py | 11 + backend/app/services/__init__.py | 0 backend/app/services/ai.py | 152 + backend/app/services/email.py | 89 + backend/app/services/grading.py | 39 + backend/app/services/schedule_fetch.py | 112 + backend/app/services/schedule_sync.py | 72 + backend/app/worker.py | 247 + backend/requirements.txt | 13 + docker-compose.yml | 62 + eslint.config.mjs | 18 - firebase.json | 11 - firestore.indexes.json | 43 - firestore.rules | 43 - frontend/.env.example | 8 + frontend/Dockerfile | 13 + frontend/index.html | 18 + frontend/nginx.conf | 20 + frontend/package-lock.json | 2485 ++++++ frontend/package.json | 25 + .../public}/icons/ado2-white.png | Bin {public => frontend/public}/icons/ball.png | Bin {public => frontend/public}/icons/claude.jpg | Bin {public => frontend/public}/icons/gemini.jpeg | Bin {public => frontend/public}/icons/gpt.png | Bin {public => frontend/public}/icons/kor.png | Bin {public => frontend/public}/icons/profile.png | Bin frontend/src/App.tsx | 16 + .../src/components}/Ado2Ad.tsx | 0 .../src/components}/Arena.tsx | 66 +- .../src/components}/BallIcon.tsx | 0 .../src/components}/Countdown.tsx | 4 - .../src/components}/Footer.tsx | 0 .../src/components}/Hero.tsx | 4 +- .../src/components}/LangSwitch.tsx | 10 +- .../src/components}/MatchupHUD.tsx | 0 .../src/components}/ScheduleBoard.tsx | 39 +- .../src/components}/ShareButton.tsx | 4 +- .../src/components}/TeamFlag.tsx | 0 {app => frontend/src}/globals.css | 0 frontend/src/lib/api.ts | 86 + {lib => frontend/src/lib}/format.ts | 0 {lib => frontend/src/lib}/i18n.ts | 0 frontend/src/lib/types.ts | 75 + frontend/src/lib/useLang.ts | 13 + frontend/src/main.tsx | 13 + frontend/src/pages/Dashboard.tsx | 57 + frontend/src/pages/Leaderboard.tsx | 74 + frontend/src/pages/MatchDetail.tsx | 103 + frontend/src/pages/NotFound.tsx | 17 + frontend/src/vite-env.d.ts | 9 + frontend/tsconfig.json | 23 + frontend/vite.config.ts | 22 + lib/firebase.ts | 24 - lib/mockData.ts | 194 - lib/schedule.ts | 135 - lib/types.ts | 60 - next.config.ts | 7 - package-lock.json | 7643 ----------------- package.json | 27 - postcss.config.mjs | 7 - public/file.svg | 1 - public/globe.svg | 1 - public/next.svg | 1 - public/vercel.svg | 1 - public/window.svg | 1 - scripts/seed.mjs | 60 - tsconfig.json | 34 - 95 files changed, 5266 insertions(+), 8856 deletions(-) delete mode 100644 .firebaserc.example delete mode 100644 app/before/page.tsx delete mode 100644 app/favicon.ico delete mode 100644 app/layout.tsx delete mode 100644 app/leaderboard/page.tsx delete mode 100644 app/match/[matchId]/page.tsx delete mode 100644 app/page.tsx create mode 100644 backend/.env.example create mode 100644 backend/Dockerfile create mode 100644 backend/app/__init__.py create mode 100644 backend/app/config.py create mode 100644 backend/app/database.py create mode 100644 backend/app/domain.py create mode 100644 backend/app/main.py create mode 100644 backend/app/models.py create mode 100644 backend/app/routers/__init__.py create mode 100644 backend/app/routers/admin.py create mode 100644 backend/app/routers/leaderboard.py create mode 100644 backend/app/routers/matches.py create mode 100644 backend/app/routers/predictions.py create mode 100644 backend/app/schedule_data.py create mode 100644 backend/app/schemas.py create mode 100644 backend/app/scoring.py create mode 100644 backend/app/seed.py create mode 100644 backend/app/seed_data.py create mode 100644 backend/app/services/__init__.py create mode 100644 backend/app/services/ai.py create mode 100644 backend/app/services/email.py create mode 100644 backend/app/services/grading.py create mode 100644 backend/app/services/schedule_fetch.py create mode 100644 backend/app/services/schedule_sync.py create mode 100644 backend/app/worker.py create mode 100644 backend/requirements.txt create mode 100644 docker-compose.yml delete mode 100644 eslint.config.mjs delete mode 100644 firebase.json delete mode 100644 firestore.indexes.json delete mode 100644 firestore.rules create mode 100644 frontend/.env.example create mode 100644 frontend/Dockerfile create mode 100644 frontend/index.html create mode 100644 frontend/nginx.conf create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json rename {public => frontend/public}/icons/ado2-white.png (100%) rename {public => frontend/public}/icons/ball.png (100%) rename {public => frontend/public}/icons/claude.jpg (100%) rename {public => frontend/public}/icons/gemini.jpeg (100%) rename {public => frontend/public}/icons/gpt.png (100%) rename {public => frontend/public}/icons/kor.png (100%) rename {public => frontend/public}/icons/profile.png (100%) create mode 100644 frontend/src/App.tsx rename {components => frontend/src/components}/Ado2Ad.tsx (100%) rename {components => frontend/src/components}/Arena.tsx (90%) rename {components => frontend/src/components}/BallIcon.tsx (100%) rename {components => frontend/src/components}/Countdown.tsx (91%) rename {components => frontend/src/components}/Footer.tsx (100%) rename {components => frontend/src/components}/Hero.tsx (96%) rename {components => frontend/src/components}/LangSwitch.tsx (78%) rename {components => frontend/src/components}/MatchupHUD.tsx (100%) rename {components => frontend/src/components}/ScheduleBoard.tsx (79%) rename {components => frontend/src/components}/ShareButton.tsx (88%) rename {components => frontend/src/components}/TeamFlag.tsx (100%) rename {app => frontend/src}/globals.css (100%) create mode 100644 frontend/src/lib/api.ts rename {lib => frontend/src/lib}/format.ts (100%) rename {lib => frontend/src/lib}/i18n.ts (100%) create mode 100644 frontend/src/lib/types.ts create mode 100644 frontend/src/lib/useLang.ts create mode 100644 frontend/src/main.tsx create mode 100644 frontend/src/pages/Dashboard.tsx create mode 100644 frontend/src/pages/Leaderboard.tsx create mode 100644 frontend/src/pages/MatchDetail.tsx create mode 100644 frontend/src/pages/NotFound.tsx create mode 100644 frontend/src/vite-env.d.ts create mode 100644 frontend/tsconfig.json create mode 100644 frontend/vite.config.ts delete mode 100644 lib/firebase.ts delete mode 100644 lib/mockData.ts delete mode 100644 lib/schedule.ts delete mode 100644 lib/types.ts delete mode 100644 next.config.ts delete mode 100644 package-lock.json delete mode 100644 package.json delete mode 100644 postcss.config.mjs delete mode 100644 public/file.svg delete mode 100644 public/globe.svg delete mode 100644 public/next.svg delete mode 100644 public/vercel.svg delete mode 100644 public/window.svg delete mode 100644 scripts/seed.mjs delete mode 100644 tsconfig.json diff --git a/.firebaserc.example b/.firebaserc.example deleted file mode 100644 index faf24c2..0000000 --- a/.firebaserc.example +++ /dev/null @@ -1,5 +0,0 @@ -{ - "projects": { - "default": "REPLACE_WITH_NEW_FIREBASE_PROJECT_ID" - } -} diff --git a/.gitignore b/.gitignore index 5cdaf11..12067c9 100644 --- a/.gitignore +++ b/.gitignore @@ -1,24 +1,29 @@ # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. # dependencies -/node_modules -/.pnp +node_modules/ +.pnp .pnp.* -.yarn/* -!.yarn/patches -!.yarn/plugins -!.yarn/releases -!.yarn/versions -# testing -/coverage - -# next.js -/.next/ +# build output +frontend/dist/ +build/ /out/ -# production -/build +# python +__pycache__/ +*.py[cod] +.venv/ +venv/ +*.egg-info/ + +# env files (실 키는 커밋하지 않음 — .env.example 만 커밋) +.env +.env.* +!.env.example + +# docker volume (로컬) +pgdata/ # misc .DS_Store @@ -26,20 +31,11 @@ # debug npm-debug.log* -yarn-debug.log* yarn-error.log* -.pnpm-debug.log* - -# env files (can opt-in for committing if needed) -.env* - -# vercel -.vercel # typescript *.tsbuildinfo -next-env.d.ts -# secrets +# secrets (구 firebase 잔재) serviceAccount.json .firebaserc diff --git a/AGENTS.md b/AGENTS.md index 8bd0e39..b7d60c4 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -1,5 +1,46 @@ - -# This is NOT the Next.js you know +# TriplePick — 아키텍처 (에이전트용 안내) -This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. - +"AI(GPT·Claude·Gemini) vs 너" 글로벌 축구 승부예측 서비스. 모바일 우선. + +## 스택 (2026 리팩토링) +- **frontend/** — React 19 + Vite + TypeScript + Tailwind v4, react-router. nginx 정적 서빙. +- **backend/** — Python FastAPI + SQLAlchemy(async) + PostgreSQL. 별도 워커(APScheduler). +- **docker-compose.yml** (루트) — db · api · worker · frontend 를 한 번에 실행. + +## 디렉토리 +``` +backend/app/ + config.py 설정(.env): DB·투표윈도우·스케줄러시각·외부키 + database.py async 엔진/세션, init_db + models.py ORM: matches / ai_predictions / crowd_stats / user_predictions + schemas.py Pydantic API 계약 (프론트 lib/types.ts 와 정합) + scoring.py 채점(docs/SCORING.md SSOT) + 임직원 배제 + schedule_data.py 경기 일정 SSOT (Group A 6경기, KST) + seed_data.py 부트스트랩(결정론적) 예측/crowd 생성기 + seed.py DB 시드 (idempotent) + domain.py phase 계산 + ORM→응답 직렬화 + services/ ai.py(3모델 실연동) · email.py(SMTP) · grading.py + routers/ matches · predictions · leaderboard · admin + main.py FastAPI 앱(API) + worker.py APScheduler 워커(상태전이·AI생성·결과메일) +frontend/src/ + lib/ types · i18n · format · api(백엔드 호출) · useLang + components/ Hero · MatchupHUD · Arena · ScheduleBoard · TeamFlag · … + pages/ Dashboard · MatchDetail · Leaderboard · NotFound +``` + +## 시간/스케줄 규칙 (워커가 자동 처리) +- 투표 오픈 = 킥오프 − 48h(D-2, `VOTE_OPEN_HOURS_BEFORE`) +- 투표 마감 = 킥오프 정각(`VOTE_LOCK_MINUTES_BEFORE=0`) +- 상태 전이: scheduled → open → locked → finished (`STATUS_TICK_SECONDS` 주기) +- AI 예측 생성: 매일 KST `AI_GENERATE_HOUR:MINUTE` (실 LLM API 호출) +- 결과 메일: 경기 종료 후 `RESULT_EMAIL_DELAY_MINUTES`(기본 180=3h) 경과 시 발송 +- `DEMO_FORCE_OPEN=true` 면 마감 전까지 항상 투표 가능(운영 시 false) + +## SSOT 문서 +- `docs/SCORING.md` — 채점·심사(100만원) 단일 기준 +- `docs/DESIGN.md` — 룩앤필/디자인 토큰 (변경 시 먼저 갱신) +- `docs/BACKEND.md` — 초기 백엔드 설계 메모(원본 Firebase 기준 — 현 구현은 FastAPI) + +## 실행 +`cp backend/.env.example backend/.env` → 키 채우기 → `docker compose up --build` → http://localhost:8080 diff --git a/README.md b/README.md index e215bc4..f6abf99 100644 --- a/README.md +++ b/README.md @@ -1,36 +1,90 @@ -This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). +# TriplePick 2026 -## Getting Started +**"AI(GPT · Claude · Gemini) vs 너"** — 글로벌 축구 승부예측 서비스. +3개 AI 모델이 매 경기를 서로 다르게 예측하고, 유저는 픽을 찍어 AI와 겨룬다. +끝까지 가장 정확하게 맞힌 1인에게 100만원 챌린지. -First, run the development server: +## 아키텍처 -```bash -npm run dev -# or -yarn dev -# or -pnpm dev -# or -bun dev +``` +o2o-triple-pick/ +├── docker-compose.yml # db · api · worker · frontend 한 번에 실행 +├── backend/ # FastAPI + SQLAlchemy(async) + PostgreSQL +│ ├── app/ # API · 워커(APScheduler) · AI/이메일 실연동 +│ └── .env.example +└── frontend/ # React + Vite + TypeScript + Tailwind v4 + ├── src/ # pages · components · lib(api 연동) + └── .env.example ``` -Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. +- **frontend** — React SPA. nginx 가 정적 파일 서빙 + `/api` 를 백엔드로 프록시. +- **backend (api)** — FastAPI. 경기/AI예측/crowd 읽기, 픽 제출, 채점, 리더보드, 관리자. +- **backend (worker)** — APScheduler 별도 프로세스. 아래 "시간 기반 작업" 자동 처리. +- **db** — PostgreSQL. -You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. +## 빠른 시작 (Docker) -This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. +```bash +cp backend/.env.example backend/.env # 키(선택) 채우기 +docker compose up --build +# 프론트: http://localhost:8080 +# API 문서: http://localhost:8000/docs +``` -## Learn More +DB 는 최초 기동 시 6경기 + AI 예측(부트스트랩) + crowd baseline 으로 자동 시드된다. +AI/이메일 키가 없어도 전체 플로우(예측·제출·채점·리더보드)는 즉시 동작한다. -To learn more about Next.js, take a look at the following resources: +## 시간 기반 작업 (워커가 자동 처리) -- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. -- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. +조사된 "필요한 시간들"을 워커 단일 프로세스가 모두 담당한다: -You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! +| 작업 | 시점 | 설정 | +|---|---|---| +| 투표 오픈 | 킥오프 − 48h (D-2) | `VOTE_OPEN_HOURS_BEFORE` | +| 투표 마감 | 킥오프 정각 | `VOTE_LOCK_MINUTES_BEFORE` | +| 상태 전이 (scheduled→open→locked→finished) | 주기 틱 | `STATUS_TICK_SECONDS` (기본 60s) | +| AI 예측 생성 (3모델 실 API 호출) | 매일 KST 00:05 | `AI_GENERATE_HOUR` / `_MINUTE` | +| 결과 메일 발송 (구독자) | 경기 종료 +3h | `RESULT_EMAIL_DELAY_MINUTES` | -## Deploy on Vercel +> 데모에서는 `DEMO_FORCE_OPEN=true` 로 마감 전까지 항상 투표 가능. **운영 배포 시 false**. -The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. +## 외부 연동 (실연동 — 키 없으면 해당 기능만 생략) -Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. +- **AI 3모델** — OpenAI(GPT) · Anthropic(Claude, `claude-opus-4-8`) · Google(Gemini). + `OPENAI_API_KEY` / `ANTHROPIC_API_KEY` / `GOOGLE_API_KEY`. +- **이메일** — SMTP. `SMTP_HOST` 외 `backend/.env` 참조. + +## API 요약 + +| 메서드 | 경로 | 설명 | +|---|---|---| +| GET | `/api/matches?lang=ko` | 전체 경기 (예측·crowd 포함) | +| GET | `/api/matches/{id}` | 경기 상세 | +| POST | `/api/predictions` | 픽 제출 (1회 수정·crowd 증분·매칭 모델) | +| GET | `/api/leaderboard` | 누적 포인트 랭킹 | +| POST | `/api/admin/result` | (Bearer) 결과 입력 → 채점 | +| POST | `/api/admin/ai-predictions` | (Bearer) AI 예측 수동 upsert | + +## 로컬 개발 (Docker 없이) + +```bash +# 백엔드 +cd backend && python3.12 -m venv .venv && source .venv/bin/activate +pip install -r requirements.txt +# Postgres 띄우고 DATABASE_URL 지정 후: +uvicorn app.main:app --reload # API +python -m app.worker # 워커 + +# 프론트 +cd frontend && npm install && npm run dev # http://localhost:5173 (/api → :8000 프록시) +``` + +## 채점 규칙 + +`docs/SCORING.md` (SSOT). 정확 스코어 5 · 근접 3 · 승패 2 · 부분 1 · 빗나감 0. +누적 포인트 1위에게 최종 상금. 임직원/운영진 배제. + +## 문서 +- `docs/SCORING.md` — 채점·심사 SSOT +- `docs/DESIGN.md` — 디자인 토큰 SSOT +- `docs/BACKEND.md` — 초기 백엔드 설계 메모(Firebase 기준 → 현 구현은 FastAPI) diff --git a/app/before/page.tsx b/app/before/page.tsx deleted file mode 100644 index bbc7dd6..0000000 --- a/app/before/page.tsx +++ /dev/null @@ -1,251 +0,0 @@ -"use client"; - -// ============================================================ -// BEFORE — 최초 구축 버전 (다크 네이비 토큰 테마) · 개인 기록용 보존 -// 002/003 리디자인 이전 모습. 자체 완결(explicit hex), 현재 globals와 독립. -// ============================================================ -import { useEffect, useMemo, useState } from "react"; - -const C = { - bg: "#0a0e1a", - bg2: "#0d1322", - card: "#141b2d", - green: "#25e07f", - amber: "#ffb23e", - muted: "#8b94a7", - line: "#26304a", - gpt: "#25e07f", - claude: "#c08bff", - gemini: "#4d9bff", -}; - -const MATCH = { - teamA: { short: "한국", name: "Korea Republic", flag: "🇰🇷" }, - teamB: { short: "체코", name: "Czechia", flag: "🇨🇿" }, - kickoff: "2026-06-12T11:00:00+09:00", - lockAt: "2026-06-12T10:50:00+09:00", - venue: "Estadio Guadalajara", -}; -const AIS = [ - { model: "GPT", color: C.gpt, outcome: "A", score: "2 - 1", conf: 62, reason: "전환 속도와 핵심 공격 자원에서 우위", out: "한국 승" }, - { model: "Claude", color: C.claude, outcome: "D", score: "1 - 1", conf: 41, reason: "체코 수비 조직력과 세트피스가 변수", out: "무승부" }, - { model: "Gemini", color: C.gemini, outcome: "B", score: "0 - 2", conf: 28, reason: "체코의 원정 폼과 역습 효율을 높게 평가", out: "체코 승" }, -]; - -function useCountdown(iso: string) { - const [now, setNow] = useState(null); - useEffect(() => { - setNow(Date.now()); - const t = setInterval(() => setNow(Date.now()), 1000); - return () => clearInterval(t); - }, []); - if (now === null) return null; - const diff = Math.max(0, new Date(iso).getTime() - now); - return { - d: Math.floor(diff / 86400000), - h: Math.floor((diff % 86400000) / 3600000), - m: Math.floor((diff % 3600000) / 60000), - s: Math.floor((diff % 60000) / 1000), - }; -} -const pad = (n: number) => String(n).padStart(2, "0"); - -export default function Before() { - const cd = useCountdown(MATCH.kickoff); - const [outcome, setOutcome] = useState(null); - const [a, setA] = useState(1); - const [b, setB] = useState(0); - const [step, setStep] = useState<"pick" | "form" | "done">("pick"); - const [nick, setNick] = useState(""); - const [total, setTotal] = useState(1284); - const [dist, setDist] = useState({ A: 48, D: 27, B: 25 }); - - const matched = useMemo(() => AIS.filter((p) => p.outcome === outcome).map((p) => p.model), [outcome]); - - const wrap: React.CSSProperties = { background: C.bg, color: "#fff", minHeight: "100dvh" }; - const card: React.CSSProperties = { background: C.card, border: `1px solid ${C.line}`, borderRadius: 12 }; - - return ( -
- {/* 기록용 라벨 */} -
- BEFORE — 최초 구축 버전 (기록용) · 현재 버전은 / 에서 -
- - {/* Sticky Top */} -
-
-
-
- TriplePick - 🇰🇷 한국 vs 체코 🇨🇿 -
-
-
-
킥오프까지
-
- {cd ? `${cd.d}일 ${pad(cd.h)}:${pad(cd.m)}:${pad(cd.s)}` : "—"} -
-
- -
-
-
● {total.toLocaleString()}명 픽 완료
-
-
- -
- {/* Hero */} -
-
Triple Pick 2026
-
AI Prediction Arena
-

- 한국 첫 경기,
AI의 선택은 갈렸다 -

-

- 같은 데이터를 본 AI 셋이 서로 다른 예측을 했습니다.
당신의 픽을 찍고, 경기 끝나면 누가 맞았는지 확인하세요. -

-
- - {/* Match card */} -
-
- Match 01 - Matchday Prediction -
-
- -
VS
- -
-
6.12(금) 11:00 KST · Group A
-
{MATCH.venue}
-
- - {/* AI predictions */} -
-
-

AI의 예측

- 같은 데이터 · 다른 답 -
-
- {AIS.map((p) => ( -
-
-
- {p.model[0]} -
-
{p.model}
-
{p.out} 예측
-
-
-
-
{p.score}
-
확신도 {p.conf}%
-
-
-
-
-
-

{p.reason} · 기준 2026-06-08

-
- ))} -
-
- - {/* Your pick */} -
-

당신의 선택 🟠

-
-
- {([["A", "한국 승"], ["D", "무승부"], ["B", "체코 승"]] as [string, string][]).map(([v, l]) => ( - - ))} -
-
- - : - -
- {step === "pick" && ( - - )} - {step === "form" && ( -
- setNick(e.target.value)} placeholder="닉네임 (2~16자)" style={{ width: "100%", borderRadius: 8, border: `1px solid ${C.line}`, background: C.bg2, padding: "10px 12px", fontSize: 13, color: "#fff" }} /> - -
- )} -
- {step === "done" && outcome && ( -
-
내 예측
-
한국 {a}-{b} 체코 {outcome === "A" ? "한국 승" : outcome === "B" ? "체코 승" : "무승부"}
-

- {matched.length ? <>당신은 {matched.join("·")}와 같은 선택입니다. 나머지 AI는 생각이 다릅니다. : <>당신은 AI 셋 모두와 다른 선택을 했습니다. 소신 픽! 🔥}
경기 끝나면 누가 맞았는지 알려드릴게요. -

- -
- )} -
- - {/* Crowd (세로 바) */} -
-
-

Crowd Pick

- ● {total.toLocaleString()}명 참여 -
-
- {([["한국 승", dist.A], ["무승부", dist.D], ["체코 승", dist.B]] as [string, number][]).map(([l, v]) => ( -
-
{l}{v}%
-
-
- ))} -
-
- - {/* Prize */} -
-
-
🏆

월드컵 끝까지 맞히면 100만 원

-

AI 이기고 끝까지 살아남으면 100만 원. 매 경기 픽하고, 최종 우승팀과 결승 스코어까지 맞히면 도전 자격.

- -
-
- - {/* Footer */} -
-

이 캠페인은 AIO2O가 운영하는 AI 예측 실험입니다. GPT·Claude·Gemini에 동일한 경기 데이터를 제공하고 모델별 예측 차이를 기록합니다.

-

본 콘텐츠는 스포츠 분석·엔터테인먼트 목적의 예측 게임이며 베팅·도박을 권유하지 않습니다. AI 예측은 실제 결과를 보장하지 않습니다.

-
© 2026 TriplePick · 운영 AIO2O@triplepick_ai
-
-
-
- ); -} - -function Team({ flag, short, name }: { flag: string; short: string; name: string }) { - return ( -
-
{flag}
-
{short}
-
{name}
-
- ); -} -function Stepper({ label, value, set, c }: { label: string; value: number; set: (n: number) => void; c: typeof C }) { - const btn: React.CSSProperties = { width: 36, height: 36, display: "grid", placeItems: "center", borderRadius: 8, border: `1px solid ${c.line}`, background: c.bg2, color: "#fff", fontSize: 18, fontWeight: 700 }; - return ( -
-
{label}
-
- -
{value}
- -
-
- ); -} diff --git a/app/favicon.ico b/app/favicon.ico deleted file mode 100644 index 718d6fea4835ec2d246af9800eddb7ffb276240c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 25931 zcmeHv30#a{`}aL_*G&7qml|y<+KVaDM2m#dVr!KsA!#An?kSQM(q<_dDNCpjEux83 zLb9Z^XxbDl(w>%i@8hT6>)&Gu{h#Oeyszu?xtw#Zb1mO{pgX9699l+Qppw7jXaYf~-84xW z)w4x8?=youko|}Vr~(D$UXIbiXABHh`p1?nn8Po~fxRJv}|0e(BPs|G`(TT%kKVJAdg5*Z|x0leQq0 zkdUBvb#>9F()jo|T~kx@OM8$9wzs~t2l;K=woNssA3l6|sx2r3+kdfVW@e^8e*E}v zA1y5{bRi+3Z`uD3{F7LgFJDdvm;nJilkzDku>BwXH(8ItVCXk*-lSJnR?-2UN%hJ){&rlvg`CDTj z)Bzo!3v7Ou#83zEDEFcKt(f1E0~=rqeEbTnMvWR#{+9pg%7G8y>u1OVRUSoox-ovF z2Ydma(;=YuBY(eI|04{hXzZD6_f(v~H;C~y5=DhAC{MMS>2fm~1H_t2$56pc$NH8( z5bH|<)71dV-_oCHIrzrT`2s-5w_+2CM0$95I6X8p^r!gHp+j_gd;9O<1~CEQQGS8) zS9Qh3#p&JM-G8rHekNmKVewU;pJRcTAog68KYo^dRo}(M>36U4Us zfgYWSiHZL3;lpWT=zNAW>Dh#mB!_@Lg%$ms8N-;aPqMn+C2HqZgz&9~Eu z4|Kp<`$q)Uw1R?y(~S>ePdonHxpV1#eSP1B;Ogo+-Pk}6#0GsZZ5!||ev2MGdh}_m z{DeR7?0-1^zVs&`AV6Vt;r3`I`OI_wgs*w=eO%_#7Kepl{B@xiyCANc(l zzIyd4y|c6PXWq9-|KM8(zIk8LPk(>a)zyFWjhT!$HJ$qX1vo@d25W<fvZQ2zUz5WRc(UnFMKHwe1| zWmlB1qdbiA(C0jmnV<}GfbKtmcu^2*P^O?MBLZKt|As~ge8&AAO~2K@zbXelK|4T<{|y4`raF{=72kC2Kn(L4YyenWgrPiv z@^mr$t{#X5VuIMeL!7Ab6_kG$&#&5p*Z{+?5U|TZ`B!7llpVmp@skYz&n^8QfPJzL z0G6K_OJM9x+Wu2gfN45phANGt{7=C>i34CV{Xqlx(fWpeAoj^N0Biu`w+MVcCUyU* zDZuzO0>4Z6fbu^T_arWW5n!E45vX8N=bxTVeFoep_G#VmNlQzAI_KTIc{6>c+04vr zx@W}zE5JNSU>!THJ{J=cqjz+4{L4A{Ob9$ZJ*S1?Ggg3klFp!+Y1@K+pK1DqI|_gq z5ZDXVpge8-cs!o|;K73#YXZ3AShj50wBvuq3NTOZ`M&qtjj#GOFfgExjg8Gn8>Vq5 z`85n+9|!iLCZF5$HJ$Iu($dm?8~-ofu}tEc+-pyke=3!im#6pk_Wo8IA|fJwD&~~F zc16osQ)EBo58U7XDuMexaPRjU@h8tXe%S{fA0NH3vGJFhuyyO!Uyl2^&EOpX{9As0 zWj+P>{@}jxH)8|r;2HdupP!vie{sJ28b&bo!8`D^x}TE$%zXNb^X1p@0PJ86`dZyj z%ce7*{^oo+6%&~I!8hQy-vQ7E)0t0ybH4l%KltWOo~8cO`T=157JqL(oq_rC%ea&4 z2NcTJe-HgFjNg-gZ$6!Y`SMHrlj}Etf7?r!zQTPPSv}{so2e>Fjs1{gzk~LGeesX%r(Lh6rbhSo_n)@@G-FTQy93;l#E)hgP@d_SGvyCp0~o(Y;Ee8{ zdVUDbHm5`2taPUOY^MAGOw*>=s7=Gst=D+p+2yON!0%Hk` zz5mAhyT4lS*T3LS^WSxUy86q&GnoHxzQ6vm8)VS}_zuqG?+3td68_x;etQAdu@sc6 zQJ&5|4(I?~3d-QOAODHpZ=hlSg(lBZ!JZWCtHHSj`0Wh93-Uk)_S%zsJ~aD>{`A0~ z9{AG(e|q3g5B%wYKRxiL2Y$8(4w6bzchKuloQW#e&S3n+P- z8!ds-%f;TJ1>)v)##>gd{PdS2Oc3VaR`fr=`O8QIO(6(N!A?pr5C#6fc~Ge@N%Vvu zaoAX2&(a6eWy_q&UwOhU)|P3J0Qc%OdhzW=F4D|pt0E4osw;%<%Dn58hAWD^XnZD= z>9~H(3bmLtxpF?a7su6J7M*x1By7YSUbxGi)Ot0P77`}P3{)&5Un{KD?`-e?r21!4vTTnN(4Y6Lin?UkSM z`MXCTC1@4A4~mvz%Rh2&EwY))LeoT=*`tMoqcEXI>TZU9WTP#l?uFv+@Dn~b(>xh2 z;>B?;Tz2SR&KVb>vGiBSB`@U7VIWFSo=LDSb9F{GF^DbmWAfpms8Sx9OX4CnBJca3 zlj9(x!dIjN?OG1X4l*imJNvRCk}F%!?SOfiOq5y^mZW)jFL@a|r-@d#f7 z2gmU8L3IZq0ynIws=}~m^#@&C%J6QFo~Mo4V`>v7MI-_!EBMMtb%_M&kvAaN)@ZVw z+`toz&WG#HkWDjnZE!6nk{e-oFdL^$YnbOCN}JC&{$#$O27@|Tn-skXr)2ml2~O!5 zX+gYoxhoc7qoU?C^3~&!U?kRFtnSEecWuH0B0OvLodgUAi}8p1 zrO6RSXHH}DMc$&|?D004DiOVMHV8kXCP@7NKB zgaZq^^O<7PoKEp72kby@W0Z!Y*Ay{&vfg#C&gG@YVR9g?FEocMUi1gSN$+V+ayF45{a zuDZDTN}mS|;BO%gEf}pjBfN2-gIrU#G5~cucA;dokXW89%>AyXJJI z9X4UlIWA|ZYHgbI z5?oFk@A=Ik7lrEQPDH!H+b`7_Y~aDb_qa=B2^Y&Ow41cU=4WDd40dp5(QS-WMN-=Y z9g;6_-JdNU;|6cPwf$ak*aJIcwL@1n$#l~zi{c{EW?T;DaW*E8DYq?Umtz{nJ&w-M zEMyTDrC&9K$d|kZe2#ws6)L=7K+{ zQw{XnV6UC$6-rW0emqm8wJoeZK)wJIcV?dST}Z;G0Arq{dVDu0&4kd%N!3F1*;*pW zR&qUiFzK=@44#QGw7k1`3t_d8&*kBV->O##t|tonFc2YWrL7_eqg+=+k;!F-`^b8> z#KWCE8%u4k@EprxqiV$VmmtiWxDLgnGu$Vs<8rppV5EajBXL4nyyZM$SWVm!wnCj-B!Wjqj5-5dNXukI2$$|Bu3Lrw}z65Lc=1G z^-#WuQOj$hwNGG?*CM_TO8Bg-1+qc>J7k5c51U8g?ZU5n?HYor;~JIjoWH-G>AoUP ztrWWLbRNqIjW#RT*WqZgPJXU7C)VaW5}MiijYbABmzoru6EmQ*N8cVK7a3|aOB#O& zBl8JY2WKfmj;h#Q!pN%9o@VNLv{OUL?rixHwOZuvX7{IJ{(EdPpuVFoQqIOa7giLVkBOKL@^smUA!tZ1CKRK}#SSM)iQHk)*R~?M!qkCruaS!#oIL1c z?J;U~&FfH#*98^G?i}pA{ z9Jg36t4=%6mhY(quYq*vSxptes9qy|7xSlH?G=S@>u>Ebe;|LVhs~@+06N<4CViBk zUiY$thvX;>Tby6z9Y1edAMQaiH zm^r3v#$Q#2T=X>bsY#D%s!bhs^M9PMAcHbCc0FMHV{u-dwlL;a1eJ63v5U*?Q_8JO zT#50!RD619#j_Uf))0ooADz~*9&lN!bBDRUgE>Vud-i5ck%vT=r^yD*^?Mp@Q^v+V zG#-?gKlr}Eeqifb{|So?HM&g91P8|av8hQoCmQXkd?7wIJwb z_^v8bbg`SAn{I*4bH$u(RZ6*xUhuA~hc=8czK8SHEKTzSxgbwi~9(OqJB&gwb^l4+m`k*Q;_?>Y-APi1{k zAHQ)P)G)f|AyjSgcCFps)Fh6Bca*Xznq36!pV6Az&m{O8$wGFD? 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TriplePick AI 예측 아레나.", - siteName: "TriplePick", - type: "website", - locale: "ko_KR", - }, - twitter: { - card: "summary_large_image", - title: "AI 셋이 갈렸다 — TriplePick 2026", - description: "GPT vs Claude vs Gemini vs 너. 지금 픽하고 AI와 겨뤄요.", - }, -}; - -export const viewport: Viewport = { - themeColor: "#0a0e1a", - width: "device-width", - initialScale: 1, -}; - -export default function RootLayout({ - children, -}: Readonly<{ children: React.ReactNode }>) { - return ( - - {children} - - ); -} diff --git a/app/leaderboard/page.tsx b/app/leaderboard/page.tsx deleted file mode 100644 index 6c1631c..0000000 --- a/app/leaderboard/page.tsx +++ /dev/null @@ -1,26 +0,0 @@ -import type { Metadata } from "next"; -import Hero from "@/components/Hero"; -import Footer from "@/components/Footer"; - -// L3. 리더보드 — 차기(금요일 제외). 진입점 404 방지용 stub. -export const metadata: Metadata = { - title: "랭킹 | TriplePick 2026", - description: "TriplePick 누적 랭킹 — 곧 공개됩니다.", -}; - -export default function LeaderboardPage() { - return ( -
- -
-
LEADERBOARD
-

랭킹은 곧 공개됩니다

-

- 매 경기 누적 점수로 순위를 매기고, 끝까지 가장 잘 맞힌 한 분께 - 최종 100만원을 드립니다. -

-
-
-
- ); -} diff --git a/app/match/[matchId]/page.tsx b/app/match/[matchId]/page.tsx deleted file mode 100644 index 6ecbc6a..0000000 --- a/app/match/[matchId]/page.tsx +++ /dev/null @@ -1,88 +0,0 @@ -import type { Metadata } from "next"; -import { notFound } from "next/navigation"; -import Hero from "@/components/Hero"; -import MatchupHUD from "@/components/MatchupHUD"; -import Arena from "@/components/Arena"; -import Footer from "@/components/Footer"; -import { GROUP_A } from "@/lib/schedule"; -import { getPredictions, getCrowd, matchUrl } from "@/lib/mockData"; -import { parseLang, dict, teamShort } from "@/lib/i18n"; - -// L2. 경기 상세(대결) 페이지 — 6경기 정적 생성 -export function generateStaticParams() { - return GROUP_A.map((m) => ({ matchId: m.matchId })); -} - -export async function generateMetadata({ - params, -}: { - params: Promise<{ matchId: string }>; -}): Promise { - const { matchId } = await params; - const match = GROUP_A.find((m) => m.matchId === matchId); - if (!match) return { title: "TriplePick 2026" }; - const title = `${match.teamA.shortName} vs ${match.teamB.shortName} AI 승부예측 | TriplePick`; - const desc = `GPT·Claude·Gemini가 ${match.teamA.name} vs ${match.teamB.name}를 서로 다르게 예측했습니다. 당신의 픽을 찍고 AI와 겨뤄보세요.`; - return { - title, - description: desc, - openGraph: { title, description: desc, siteName: "TriplePick", type: "website", locale: "ko_KR" }, - twitter: { card: "summary_large_image", title, description: desc }, - }; -} - -export default async function MatchPage({ - params, - searchParams, -}: { - params: Promise<{ matchId: string }>; - searchParams: Promise<{ lang?: string }>; -}) { - const { matchId } = await params; - const { lang: langParam } = await searchParams; - const lang = parseLang(langParam); - const t = dict(lang); - - const match = GROUP_A.find((m) => m.matchId === matchId); - if (!match) notFound(); - - const predictions = getPredictions(match, lang); - const crowd = getCrowd(match); - const aShort = teamShort(match.teamA, lang); - const bShort = teamShort(match.teamB, lang); - const hook = lang === "en" ? t.hook(aShort, bShort) : match.hookText; - - return ( -
- - - {/* 경기별 후킹 카피 (한 줄) */} -

- ⫽ - {hook} - ⫽ -

- - - -
-
- ); -} diff --git a/app/page.tsx b/app/page.tsx deleted file mode 100644 index 6aa053e..0000000 --- a/app/page.tsx +++ /dev/null @@ -1,37 +0,0 @@ -import Hero from "@/components/Hero"; -import ScheduleBoard from "@/components/ScheduleBoard"; -import Ado2Ad from "@/components/Ado2Ad"; -import Footer from "@/components/Footer"; -import { parseLang, dict } from "@/lib/i18n"; - -// L1. 전체 일정 대시보드 (랜딩 진입) -export default async function Home({ - searchParams, -}: { - searchParams: Promise<{ lang?: string }>; -}) { - const { lang: langParam } = await searchParams; - const lang = parseLang(langParam); - const t = dict(lang); - return ( -
- - - {/* 기간 안내 + CTA 영역 */} -
-

- {t.introLead} -

-

- {t.prizeLine1} -
- {t.prizeLine2} -

-
- - - -
-
- ); -} diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..8b5f2bc --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,50 @@ +# ───────────────────────────────────────────────────────────── +# TriplePick 백엔드 환경변수 — 복사: cp .env.example .env +# ───────────────────────────────────────────────────────────── + +# DB (docker-compose 내부 네트워크 기본값). 로컬 단독이면 localhost 로. +DATABASE_URL=postgresql+asyncpg://triplepick:triplepick@db:5432/triplepick + +# 일반 +TIMEZONE=Asia/Seoul +CORS_ORIGINS=* +PUBLIC_ORIGIN=http://localhost:8080 + +# 투표 윈도우 (도메인 규칙) +VOTE_OPEN_HOURS_BEFORE=48 # 오픈 = 킥오프 D-2 +VOTE_LOCK_MINUTES_BEFORE=60 # 마감 = 킥오프 1시간 전 +DEMO_FORCE_OPEN=true # 운영 배포 시 false + +# 스케줄링 서버 (워커) +# 경기 일정 동적 수집: 매일 KST 09:00 외부 소스에서 일정·투표시간 갱신 +SCHEDULE_SYNC_HOUR=9 +SCHEDULE_SYNC_MINUTE=0 +SCHEDULE_SOURCE=openfootball # openfootball(키 불필요) | football-data(토큰) | fallback +SCHEDULE_URL=https://raw.githubusercontent.com/openfootball/worldcup.json/master/2026/worldcup.json +SCHEDULE_GROUP=Group A +FOOTBALL_DATA_TOKEN= # SCHEDULE_SOURCE=football-data 일 때 +FOOTBALL_DATA_COMPETITION=WC + +AI_GENERATE_HOUR=0 # 매일 KST 00:05 AI 예측 생성 +AI_GENERATE_MINUTE=5 +RESULT_EMAIL_DELAY_MINUTES=180 # 경기 종료 3시간 후 결과 메일 +STATUS_TICK_SECONDS=60 + +# 관리자 (강한 토큰으로 교체) +ADMIN_API_TOKEN=change-me-admin-token + +# ── 외부 연동: AI 3모델 (실연동, 키 없으면 해당 모델 생성 생략) ── +OPENAI_API_KEY= +OPENAI_MODEL=gpt-4o +ANTHROPIC_API_KEY= +ANTHROPIC_MODEL=claude-opus-4-8 +GOOGLE_API_KEY= +GOOGLE_MODEL=gemini-2.5-flash + +# ── 외부 연동: 이메일 (SMTP, 실연동) ── +SMTP_HOST= +SMTP_PORT=587 +SMTP_USER= +SMTP_PASSWORD= +SMTP_FROM=TriplePick +SMTP_STARTTLS=true diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000..76c5b37 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,22 @@ +# TriplePick 백엔드 — API 서버 & 워커 공용 이미지. +# docker-compose 에서 command 를 달리해 두 서비스로 띄운다. +FROM python:3.12-slim + +ENV PYTHONUNBUFFERED=1 \ + PYTHONDONTWRITEBYTECODE=1 + +WORKDIR /app + +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl \ + && rm -rf /var/lib/apt/lists/* + +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY app ./app + +EXPOSE 8000 + +# 기본: API 서버. 워커는 compose 에서 command 오버라이드. +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/config.py b/backend/app/config.py new file mode 100644 index 0000000..b069ea0 --- /dev/null +++ b/backend/app/config.py @@ -0,0 +1,89 @@ +"""애플리케이션 설정 — 환경변수(.env)에서 로드. + +pydantic-settings 로 타입 검증. 누락 시 조용한 실패 없이 명확하게 동작. +시간 윈도우(투표 오픈/마감), 스케줄러 시각, 외부 연동 키를 모두 여기서 관리. +""" +from __future__ import annotations + +from functools import lru_cache + +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + model_config = SettingsConfigDict( + env_file=".env", env_file_encoding="utf-8", extra="ignore" + ) + + # ── 데이터베이스 ───────────────────────────────────────── + # docker-compose 의 db 서비스를 가리키는 기본값. 로컬 단독 실행 시 .env 로 덮어쓴다. + database_url: str = ( + "postgresql+asyncpg://triplepick:triplepick@db:5432/triplepick" + ) + + # ── 일반 ──────────────────────────────────────────────── + timezone: str = "Asia/Seoul" # 모든 경기 시각의 기준 (KST) + cors_origins: str = "*" # 콤마구분. nginx 프록시 사용 시 동일 출처라 보통 불필요. + public_origin: str = "http://localhost:8080" # 공유 딥링크 베이스 + + # ── 투표 윈도우 (도메인 규칙) ───────────────────────────── + # 오픈 = 킥오프 - VOTE_OPEN_HOURS_BEFORE (D-2 = 48h) + vote_open_hours_before: int = 48 + # 마감 = 킥오프 1시간 전 (경기 시작 1시간 전까지 투표). lock 오프셋(분). + vote_lock_minutes_before: int = 60 + # 데모: True 면 오픈 게이트 무시(항상 투표 가능). 운영 배포 시 False. + demo_force_open: bool = True + + # ── 스케줄러 (별도 워커 프로세스 = "스케줄링 서버") ─────── + # 경기 일정 동적 수집: 매일 KST 09:00 외부 소스 크롤링 → 경기·투표시간 갱신. + schedule_sync_hour: int = 9 + schedule_sync_minute: int = 0 + # 소스: openfootball(키 불필요·기본) | football-data(토큰 필요) | fallback(하드코딩만) + schedule_source: str = "openfootball" + schedule_url: str = ( + "https://raw.githubusercontent.com/openfootball/worldcup.json/master/2026/worldcup.json" + ) + schedule_group: str = "Group A" # 추적할 그룹 (openfootball 라벨) + football_data_token: str = "" # schedule_source=football-data 일 때 + football_data_competition: str = "WC" + + # 매일 AI 예측 생성 시각 (KST). 기능정의서: 매일 0시 1회 생성. + ai_generate_hour: int = 0 + ai_generate_minute: int = 5 + # 결과 메일: 경기 종료(결과 입력) 후 이 시간(분) 경과하면 발송. 기본 180분(3시간). + result_email_delay_minutes: int = 180 + # 상태 전이 틱 주기(초): scheduled→open→locked 자동 갱신. + status_tick_seconds: int = 60 + + # ── 관리자 ────────────────────────────────────────────── + admin_api_token: str = "change-me-admin-token" + + # ── 외부 연동: AI 3모델 (실연동) ───────────────────────── + openai_api_key: str = "" + openai_model: str = "gpt-4o" + anthropic_api_key: str = "" + anthropic_model: str = "claude-opus-4-8" + google_api_key: str = "" + google_model: str = "gemini-2.5-flash" + + # ── 외부 연동: 이메일 (SMTP, 실연동) ───────────────────── + smtp_host: str = "" + smtp_port: int = 587 + smtp_user: str = "" + smtp_password: str = "" + smtp_from: str = "TriplePick " + smtp_starttls: bool = True + + @property + def cors_origin_list(self) -> list[str]: + if self.cors_origins.strip() == "*": + return ["*"] + return [o.strip() for o in self.cors_origins.split(",") if o.strip()] + + +@lru_cache +def get_settings() -> Settings: + return Settings() + + +settings = get_settings() diff --git a/backend/app/database.py b/backend/app/database.py new file mode 100644 index 0000000..437e21f --- /dev/null +++ b/backend/app/database.py @@ -0,0 +1,39 @@ +"""SQLAlchemy 2.0 async 엔진 + 세션 팩토리. + +API(main.py)와 워커(worker.py)가 공유한다. asyncpg 드라이버 사용. +""" +from __future__ import annotations + +from collections.abc import AsyncGenerator + +from sqlalchemy.ext.asyncio import ( + AsyncSession, + async_sessionmaker, + create_async_engine, +) +from sqlalchemy.orm import DeclarativeBase + +from .config import settings + + +class Base(DeclarativeBase): + pass + + +engine = create_async_engine(settings.database_url, echo=False, pool_pre_ping=True) + +SessionLocal = async_sessionmaker(engine, expire_on_commit=False, class_=AsyncSession) + + +async def get_db() -> AsyncGenerator[AsyncSession, None]: + """FastAPI 의존성: 요청당 세션.""" + async with SessionLocal() as session: + yield session + + +async def init_db() -> None: + """테이블 생성 (없으면). 단순화를 위해 alembic 대신 create_all 사용.""" + from . import models # noqa: F401 (모델 등록) + + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.create_all) diff --git a/backend/app/domain.py b/backend/app/domain.py new file mode 100644 index 0000000..b52dda6 --- /dev/null +++ b/backend/app/domain.py @@ -0,0 +1,130 @@ +"""도메인 헬퍼 — 투표 단계(phase) 계산 + ORM→응답 스키마 직렬화. + +phase 는 now 기준 동적 계산 (lib/schedule.ts matchPhase 와 동일 규칙): + result 존재 → finished + now >= lockAt → locked + now < opensAt → scheduled + 그 외 → open +""" +from __future__ import annotations + +from datetime import datetime, timezone + +from .config import settings +from .models import AIPrediction, CrowdStats, Match +from .schemas import ( + AIPredictionOut, + CrowdStatsOut, + MatchOut, + MatchResult, + Team, +) + + +def now_utc() -> datetime: + return datetime.now(timezone.utc) + + +def ensure_aware(dt: datetime) -> datetime: + """naive datetime(일부 DB 드라이버 반환)을 UTC aware 로 보정.""" + return dt.replace(tzinfo=timezone.utc) if dt.tzinfo is None else dt + + +def compute_phase(m: Match, now: datetime | None = None) -> str: + now = now or now_utc() + if m.result_outcome is not None: + return "finished" + if now >= ensure_aware(m.lock_at): + return "locked" + if now < ensure_aware(m.opens_at): + return "scheduled" + return "open" + + +def is_open_for_voting(m: Match, now: datetime | None = None) -> bool: + """제출 허용 여부. demo_force_open 이면 마감 전까지 항상 오픈.""" + now = now or now_utc() + if m.result_outcome is not None: + return False + if now >= ensure_aware(m.lock_at): + return False + if settings.demo_force_open: + return True + return now >= ensure_aware(m.opens_at) + + +def _team_a(m: Match) -> Team: + return Team( + name=m.team_a_name, shortName=m.team_a_short, code=m.team_a_code, flag=m.team_a_flag + ) + + +def _team_b(m: Match) -> Team: + return Team( + name=m.team_b_name, shortName=m.team_b_short, code=m.team_b_code, flag=m.team_b_flag + ) + + +def prediction_out(p: AIPrediction, lang: str = "ko") -> AIPredictionOut: + reason = p.reason_en if lang == "en" and p.reason_en else p.reason_ko + return AIPredictionOut( + matchId=p.match_id, + model=p.model, # type: ignore[arg-type] + outcome=p.outcome, # type: ignore[arg-type] + scoreA=p.score_a, + scoreB=p.score_b, + confidencePct=p.confidence_pct, + reasonShort=reason, + generatedAt=p.generated_at.date().isoformat() if p.generated_at else "", + ) + + +def crowd_out(c: CrowdStats | None, match_id: str) -> CrowdStatsOut: + if c is None: + return CrowdStatsOut(matchId=match_id, total=0, teamAWin=0, draw=0, teamBWin=0) + return CrowdStatsOut( + matchId=match_id, + total=c.total, + teamAWin=c.team_a_win, + draw=c.draw, + teamBWin=c.team_b_win, + ) + + +def match_out( + m: Match, + lang: str = "ko", + include_predictions: bool = True, + now: datetime | None = None, +) -> MatchOut: + result = None + if m.result_outcome is not None: + result = MatchResult( + scoreA=m.result_score_a or 0, + scoreB=m.result_score_b or 0, + outcome=m.result_outcome, # type: ignore[arg-type] + ) + preds: list[AIPredictionOut] = [] + if include_predictions: + # 모델 순서 고정: GPT, Claude, Gemini + order = {"GPT": 0, "Claude": 1, "Gemini": 2} + for p in sorted(m.predictions, key=lambda x: order.get(x.model, 9)): + preds.append(prediction_out(p, lang)) + return MatchOut( + matchId=m.match_id, + roundLabel=m.round_label, + group=m.group, + teamA=_team_a(m), + teamB=_team_b(m), + kickoffKst=m.kickoff_at.isoformat(), + venue=m.venue, + opensAt=m.opens_at.isoformat(), + lockAt=m.lock_at.isoformat(), + status=m.status, + phase=compute_phase(m, now), + votingOpen=is_open_for_voting(m, now), + hookText=m.hook_text, + result=result, + predictions=preds, + crowd=crowd_out(m.crowd, m.match_id), + ) diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..f0460cd --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,49 @@ +"""FastAPI 앱 진입점 — API 서버. + +시작 시 DB 초기화 + 시드. CORS 허용. 라우터 등록. +스케줄러는 별도 워커 컨테이너(worker.py)에서 실행한다(중복 방지). +""" +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from .config import settings +from .database import init_db +from .routers import admin, leaderboard, matches, predictions +from .seed import seed_if_empty + +logging.basicConfig(level=logging.INFO) +log = logging.getLogger("triplepick") + + +@asynccontextmanager +async def lifespan(app: FastAPI): # noqa: ANN201 + await init_db() + await seed_if_empty() + log.info("API ready") + yield + + +app = FastAPI(title="TriplePick API", version="1.0.0", lifespan=lifespan) + +app.add_middleware( + CORSMiddleware, + allow_origins=settings.cors_origin_list, + allow_credentials=False, + allow_methods=["*"], + allow_headers=["*"], +) + +app.include_router(matches.router) +app.include_router(predictions.router) +app.include_router(leaderboard.router) +app.include_router(admin.router) + + +@app.get("/api/health") +async def health() -> dict: + return {"ok": True, "service": "triplepick-api"} diff --git a/backend/app/models.py b/backend/app/models.py new file mode 100644 index 0000000..ed60d63 --- /dev/null +++ b/backend/app/models.py @@ -0,0 +1,154 @@ +"""ORM 모델 — 기능정의서 데이터모델 + lib/types.ts 와 정합. + +테이블: +- matches 경기 (팀/시각/투표윈도우/상태/결과) +- ai_predictions GPT/Claude/Gemini 예측 (경기 × 모델) +- crowd_stats 군중 투표 분포 (경기당 1행, 원자적 증분) +- user_predictions 유저 픽 (이메일 식별, 채점/알림 플래그 포함) +""" +from __future__ import annotations + +from datetime import datetime + +from sqlalchemy import ( + Boolean, + DateTime, + ForeignKey, + Integer, + String, + UniqueConstraint, + func, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from .database import Base + +# Outcome: TEAM_A_WIN | DRAW | TEAM_B_WIN +# ModelName: GPT | Claude | Gemini +# MatchStatus: scheduled | open | locked | live | finished + + +class Match(Base): + __tablename__ = "matches" + + match_id: Mapped[str] = mapped_column(String, primary_key=True) + round_label: Mapped[str] = mapped_column(String, default="") + group: Mapped[str] = mapped_column(String, default="A") + + # 팀 정보 (표시명/약식/코드/이모지) — 분리 컬럼으로 저장 + team_a_name: Mapped[str] = mapped_column(String) + team_a_short: Mapped[str] = mapped_column(String) + team_a_code: Mapped[str] = mapped_column(String) + team_a_flag: Mapped[str] = mapped_column(String, default="") + team_b_name: Mapped[str] = mapped_column(String) + team_b_short: Mapped[str] = mapped_column(String) + team_b_code: Mapped[str] = mapped_column(String) + team_b_flag: Mapped[str] = mapped_column(String, default="") + + venue: Mapped[str] = mapped_column(String, default="") + hook_text: Mapped[str] = mapped_column(String, default="") + + # 모든 시각은 timezone-aware (UTC 저장, KST 환산은 표현 계층) + kickoff_at: Mapped[datetime] = mapped_column(DateTime(timezone=True)) + opens_at: Mapped[datetime] = mapped_column(DateTime(timezone=True)) + lock_at: Mapped[datetime] = mapped_column(DateTime(timezone=True)) + + status: Mapped[str] = mapped_column(String, default="scheduled") + + # 결과 (입력 전 None) + result_score_a: Mapped[int | None] = mapped_column(Integer, nullable=True) + result_score_b: Mapped[int | None] = mapped_column(Integer, nullable=True) + result_outcome: Mapped[str | None] = mapped_column(String, nullable=True) + finished_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), nullable=True + ) + results_emailed_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), nullable=True + ) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + predictions: Mapped[list["AIPrediction"]] = relationship( + back_populates="match", cascade="all, delete-orphan" + ) + crowd: Mapped["CrowdStats | None"] = relationship( + back_populates="match", uselist=False, cascade="all, delete-orphan" + ) + + +class AIPrediction(Base): + __tablename__ = "ai_predictions" + __table_args__ = (UniqueConstraint("match_id", "model", name="uq_match_model"),) + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + match_id: Mapped[str] = mapped_column( + ForeignKey("matches.match_id", ondelete="CASCADE") + ) + model: Mapped[str] = mapped_column(String) # GPT | Claude | Gemini + outcome: Mapped[str] = mapped_column(String) + score_a: Mapped[int] = mapped_column(Integer) + score_b: Mapped[int] = mapped_column(Integer) + confidence_pct: Mapped[int] = mapped_column(Integer) + reason_ko: Mapped[str] = mapped_column(String, default="") + reason_en: Mapped[str] = mapped_column(String, default="") + generated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + # 실연동 LLM 출력인지 시드 데이터인지 구분 (재생성 제어용) + source: Mapped[str] = mapped_column(String, default="seed") # seed | llm + + match: Mapped["Match"] = relationship(back_populates="predictions") + + +class CrowdStats(Base): + __tablename__ = "crowd_stats" + + match_id: Mapped[str] = mapped_column( + ForeignKey("matches.match_id", ondelete="CASCADE"), primary_key=True + ) + total: Mapped[int] = mapped_column(Integer, default=0) + team_a_win: Mapped[int] = mapped_column(Integer, default=0) + draw: Mapped[int] = mapped_column(Integer, default=0) + team_b_win: Mapped[int] = mapped_column(Integer, default=0) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + match: Mapped["Match"] = relationship(back_populates="crowd") + + +class UserPrediction(Base): + __tablename__ = "user_predictions" + __table_args__ = ( + UniqueConstraint("match_id", "device_id", name="uq_match_device"), + ) + + id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) + match_id: Mapped[str] = mapped_column( + ForeignKey("matches.match_id", ondelete="CASCADE") + ) + device_id: Mapped[str] = mapped_column(String) # 비로그인 식별 (클라 생성 uuid) + outcome: Mapped[str] = mapped_column(String) + score_a: Mapped[int] = mapped_column(Integer) + score_b: Mapped[int] = mapped_column(Integer) + email: Mapped[str | None] = mapped_column(String, nullable=True) + notify: Mapped[bool] = mapped_column(Boolean, default=False) + + # 채점 (결과 입력 후 갱신) + points: Mapped[int | None] = mapped_column(Integer, nullable=True) + scored_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), nullable=True + ) + notified: Mapped[bool] = mapped_column(Boolean, default=False) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) diff --git a/backend/app/routers/__init__.py b/backend/app/routers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/routers/admin.py b/backend/app/routers/admin.py new file mode 100644 index 0000000..2ec22c3 --- /dev/null +++ b/backend/app/routers/admin.py @@ -0,0 +1,72 @@ +"""관리자 API — Bearer 토큰 인증. 경기/AI예측 upsert + 결과 입력(채점).""" +from __future__ import annotations + +from fastapi import APIRouter, Depends, Header, HTTPException +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from ..config import settings +from ..database import get_db +from ..domain import now_utc +from ..models import AIPrediction, Match +from ..schemas import AdminAIPredictionIn, AdminSetResultIn, GenericOk +from ..services.grading import apply_result + +router = APIRouter(prefix="/api/admin", tags=["admin"]) + + +def require_admin(authorization: str = Header(default="")) -> None: + token = authorization.removeprefix("Bearer ").strip() + if not token or token != settings.admin_api_token: + raise HTTPException(status_code=401, detail="UNAUTHORIZED") + + +@router.post("/ai-predictions", response_model=GenericOk, dependencies=[Depends(require_admin)]) +async def upsert_ai_prediction( + body: AdminAIPredictionIn, db: AsyncSession = Depends(get_db) +) -> GenericOk: + match = ( + await db.execute(select(Match).where(Match.match_id == body.matchId)) + ).scalars().first() + if not match: + raise HTTPException(status_code=404, detail="MATCH_NOT_FOUND") + + pred = ( + await db.execute( + select(AIPrediction).where( + AIPrediction.match_id == body.matchId, AIPrediction.model == body.model + ) + ) + ).scalars().first() + if pred is None: + pred = AIPrediction(match_id=body.matchId, model=body.model) + db.add(pred) + pred.outcome = body.outcome + pred.score_a = body.scoreA + pred.score_b = body.scoreB + pred.confidence_pct = body.confidencePct + pred.reason_ko = body.reasonKo + pred.reason_en = body.reasonEn + pred.generated_at = now_utc() + pred.source = "admin" + await db.commit() + return GenericOk(ok=True, detail="upserted") + + +@router.post("/result", response_model=GenericOk, dependencies=[Depends(require_admin)]) +async def set_result( + body: AdminSetResultIn, db: AsyncSession = Depends(get_db) +) -> GenericOk: + match = ( + await db.execute(select(Match).where(Match.match_id == body.matchId)) + ).scalars().first() + if not match: + raise HTTPException(status_code=404, detail="MATCH_NOT_FOUND") + + graded = await apply_result(db, match, body.scoreA, body.scoreB) + # 결과 메일은 워커가 result_email_delay_minutes 경과 후 발송(@finished_at 기준). + return GenericOk( + ok=True, + detail="result set & graded", + extra={"gradedPicks": graded, "emailsSentBy": "worker"}, + ) diff --git a/backend/app/routers/leaderboard.py b/backend/app/routers/leaderboard.py new file mode 100644 index 0000000..1052a7d --- /dev/null +++ b/backend/app/routers/leaderboard.py @@ -0,0 +1,80 @@ +"""리더보드 API — 누적 포인트 1위 (docs/SCORING.md §3 랭킹 규칙). + +1차 정렬: 누적 포인트. 동점: 정확스코어 횟수 → 적중률 → 참여수 → 최초도달. +주최측/임직원 배제(P1). 이메일은 마스킹하여 노출. +""" +from __future__ import annotations + +from collections import defaultdict + +from fastapi import APIRouter, Depends, Query +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from ..database import get_db +from ..models import UserPrediction +from ..scoring import SCORE, is_excluded +from ..schemas import LeaderboardOut, StandingOut + +router = APIRouter(prefix="/api/leaderboard", tags=["leaderboard"]) + + +def _mask(email: str) -> str: + name, _, domain = email.partition("@") + head = name[:2] if len(name) >= 2 else name + return f"{head}{'*' * max(1, len(name) - 2)}@{domain}" + + +@router.get("", response_model=LeaderboardOut) +async def leaderboard( + limit: int = Query(50, ge=1, le=200), db: AsyncSession = Depends(get_db) +) -> LeaderboardOut: + rows = ( + await db.execute( + select(UserPrediction).where( + UserPrediction.points.is_not(None), + UserPrediction.email.is_not(None), + ) + ) + ).scalars().all() + + agg: dict[str, dict] = defaultdict( + lambda: {"points": 0, "exact": 0, "played": 0, "first": None} + ) + matches: set[str] = set() + for r in rows: + email = (r.email or "").strip().lower() + if not email or is_excluded(email): + continue + matches.add(r.match_id) + a = agg[email] + a["points"] += r.points or 0 + a["played"] += 1 + if (r.points or 0) >= SCORE["EXACT"]: + a["exact"] += 1 + ts = r.scored_at or r.created_at + if a["first"] is None or (ts and ts < a["first"]): + a["first"] = ts + + ranked = sorted( + agg.items(), + key=lambda kv: ( + -kv[1]["points"], + -kv[1]["exact"], + -(kv[1]["points"] / kv[1]["played"] if kv[1]["played"] else 0), + -kv[1]["played"], + kv[1]["first"].timestamp() if kv[1]["first"] else 0, + ), + ) + + standings = [ + StandingOut( + rank=i + 1, + emailMasked=_mask(email), + totalPoints=v["points"], + exactCount=v["exact"], + matchesPlayed=v["played"], + ) + for i, (email, v) in enumerate(ranked[:limit]) + ] + return LeaderboardOut(standings=standings, scoredMatches=len(matches)) diff --git a/backend/app/routers/matches.py b/backend/app/routers/matches.py new file mode 100644 index 0000000..21b460e --- /dev/null +++ b/backend/app/routers/matches.py @@ -0,0 +1,47 @@ +"""공개 읽기 API — 경기 목록 / 경기 상세 (AI예측 + crowd 포함).""" +from __future__ import annotations + +from fastapi import APIRouter, Depends, HTTPException, Query +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload + +from ..database import get_db +from ..domain import match_out +from ..models import Match +from ..schemas import MatchOut + +router = APIRouter(prefix="/api/matches", tags=["matches"]) + + +@router.get("", response_model=list[MatchOut]) +async def list_matches( + lang: str = Query("ko"), + db: AsyncSession = Depends(get_db), +) -> list[MatchOut]: + rows = ( + await db.execute( + select(Match) + .options(selectinload(Match.predictions), selectinload(Match.crowd)) + .order_by(Match.kickoff_at) + ) + ).scalars().all() + return [match_out(m, lang) for m in rows] + + +@router.get("/{match_id}", response_model=MatchOut) +async def get_match( + match_id: str, + lang: str = Query("ko"), + db: AsyncSession = Depends(get_db), +) -> MatchOut: + m = ( + await db.execute( + select(Match) + .where(Match.match_id == match_id) + .options(selectinload(Match.predictions), selectinload(Match.crowd)) + ) + ).scalars().first() + if not m: + raise HTTPException(status_code=404, detail="MATCH_NOT_FOUND") + return match_out(m, lang) diff --git a/backend/app/routers/predictions.py b/backend/app/routers/predictions.py new file mode 100644 index 0000000..bbd5b99 --- /dev/null +++ b/backend/app/routers/predictions.py @@ -0,0 +1,116 @@ +"""픽 제출 API — 검증 · 중복방지(1회 수정) · crowd 원자적 증분 · 매칭 모델 계산.""" +from __future__ import annotations + +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy import select, update +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload + +from ..database import get_db +from ..domain import crowd_out, is_open_for_voting +from ..models import AIPrediction, CrowdStats, Match, UserPrediction +from ..scoring import outcome_of +from ..schemas import SubmitPredictionIn, SubmitPredictionOut + +router = APIRouter(prefix="/api/predictions", tags=["predictions"]) + +_COL = {"TEAM_A_WIN": "team_a_win", "DRAW": "draw", "TEAM_B_WIN": "team_b_win"} + + +async def _adjust_crowd( + db: AsyncSession, match_id: str, *, add: str | None, remove: str | None +) -> None: + """crowd_stats 원자적 증분/보정 (Postgres UPDATE).""" + values: dict = {} + if add: + col = _COL[add] + values[col] = CrowdStats.__table__.c[col] + 1 + if not remove: # 신규 제출이면 total +1 + values["total"] = CrowdStats.total + 1 + if remove and remove != add: + col = _COL[remove] + values[col] = CrowdStats.__table__.c[col] - 1 + if values: + await db.execute( + update(CrowdStats).where(CrowdStats.match_id == match_id).values(**values) + ) + + +@router.post("", response_model=SubmitPredictionOut) +async def submit_prediction( + body: SubmitPredictionIn, db: AsyncSession = Depends(get_db) +) -> SubmitPredictionOut: + match = ( + await db.execute( + select(Match) + .where(Match.match_id == body.matchId) + .options(selectinload(Match.predictions)) + ) + ).scalars().first() + if not match: + raise HTTPException(status_code=404, detail="MATCH_NOT_FOUND") + if not is_open_for_voting(match): + # 마감/종료/오픈전 구분 + if match.result_outcome is not None: + raise HTTPException(status_code=409, detail="MATCH_FINISHED") + raise HTTPException(status_code=423, detail="MATCH_LOCKED") + + # outcome 은 스코어에서 도출 (입력과 불일치해도 스코어 기준으로 정규화) + outcome = outcome_of(body.scoreA, body.scoreB) + + existing = ( + await db.execute( + select(UserPrediction).where( + UserPrediction.match_id == body.matchId, + UserPrediction.device_id == body.deviceId, + ) + ) + ).scalars().first() + + if existing: + # 마감 전 1회 수정: 분포 보정 (이전 outcome 제거, 새 outcome 추가) + await _adjust_crowd(db, body.matchId, add=outcome, remove=existing.outcome) + existing.outcome = outcome + existing.score_a = body.scoreA + existing.score_b = body.scoreB + if body.email: + existing.email = str(body.email) + existing.notify = body.notify + pred = existing + else: + await _adjust_crowd(db, body.matchId, add=outcome, remove=None) + pred = UserPrediction( + match_id=body.matchId, + device_id=body.deviceId, + outcome=outcome, + score_a=body.scoreA, + score_b=body.scoreB, + email=str(body.email) if body.email else None, + notify=body.notify, + ) + db.add(pred) + + await db.commit() + + # 매칭 AI 모델 (같은 outcome) + 정확스코어 일치 여부 + matched: list[str] = [] + exact = False + for p in match.predictions: + if p.outcome == outcome: + matched.append(p.model) + if p.score_a == body.scoreA and p.score_b == body.scoreB: + exact = True + + crowd = ( + await db.execute( + select(CrowdStats).where(CrowdStats.match_id == body.matchId) + ) + ).scalars().first() + + return SubmitPredictionOut( + ok=True, + predictionId=f"{body.matchId}_{body.deviceId}", + matchedModels=matched, # type: ignore[arg-type] + exactMatch=exact, + crowd=crowd_out(crowd, body.matchId), + ) diff --git a/backend/app/schedule_data.py b/backend/app/schedule_data.py new file mode 100644 index 0000000..6ed183a --- /dev/null +++ b/backend/app/schedule_data.py @@ -0,0 +1,94 @@ +"""경기 일정 SSOT — lib/schedule.ts(Group A 정식 일정, KST) 와 동일. + +투표 오픈 = 킥오프 - settings.vote_open_hours_before (D-2 = 48h) +투표 마감 = 킥오프 - settings.vote_lock_minutes_before (기본 0 = 킥오프 정각) +""" +from __future__ import annotations + +from dataclasses import dataclass +from datetime import datetime, timedelta + +from .config import settings + +# 팀 정의 (코드 → 표시명/약식/이모지) +TEAMS = { + "KOR": {"name": "Korea Republic", "shortName": "한국", "code": "KOR", "flag": "🇰🇷"}, + "CZE": {"name": "Czechia", "shortName": "체코", "code": "CZE", "flag": "🇨🇿"}, + "MEX": {"name": "Mexico", "shortName": "멕시코", "code": "MEX", "flag": "🇲🇽"}, + "RSA": {"name": "South Africa", "shortName": "남아공", "code": "RSA", "flag": "🇿🇦"}, +} + +# 외부 소스의 팀 표기 → 내부 코드 매핑 (openfootball / football-data 등 변형 포괄). +NAME_TO_CODE = { + "korea republic": "KOR", + "south korea": "KOR", + "korea": "KOR", + "czechia": "CZE", + "czech republic": "CZE", + "mexico": "MEX", + "south africa": "RSA", +} + + +def code_for(name: str) -> str | None: + return NAME_TO_CODE.get(name.strip().lower()) + + +@dataclass(frozen=True) +class MatchSeed: + match_id: str + round_label: str + team_a: str # 코드 + team_b: str + kickoff_iso: str # ISO with +09:00 + venue: str + hook_text: str + + +# Group A 전체 6경기 (출처: lib/schedule.ts) +GROUP_A: list[MatchSeed] = [ + MatchSeed( + "A_MEX_RSA_20260612", "Match 01 · 개막전", "MEX", "RSA", + "2026-06-12T04:00:00+09:00", "Estadio Azteca · Mexico City", + "글로벌 축구 개막전, AI는 개최국을 믿을까", + ), + MatchSeed( + "A_KOR_CZE_20260612", "Match 01", "KOR", "CZE", + "2026-06-12T11:00:00+09:00", "Estadio Guadalajara (Akron)", + "한국 첫 경기, AI의 선택은 갈렸다", + ), + MatchSeed( + "A_CZE_RSA_20260619", "Match 02", "CZE", "RSA", + "2026-06-19T01:00:00+09:00", "USA (TBD)", + "체코 vs 남아공, AI의 예측은", + ), + MatchSeed( + "A_MEX_KOR_20260619", "Match 02", "MEX", "KOR", + "2026-06-19T10:00:00+09:00", "Estadio Guadalajara (Akron)", + "개최국 멕시코 vs 한국, AI는 누구 편", + ), + MatchSeed( + "A_CZE_MEX_20260625", "Match 03", "CZE", "MEX", + "2026-06-25T10:00:00+09:00", "Estadio Azteca · Mexico City", + "체코 vs 멕시코, 운명의 최종전", + ), + MatchSeed( + "A_RSA_KOR_20260625", "Match 03", "RSA", "KOR", + "2026-06-25T10:00:00+09:00", "Estadio BBVA · Monterrey", + "한국 16강의 갈림길, AI의 마지막 예측", + ), +] + +FEATURED_MATCH_ID = "A_KOR_CZE_20260612" + + +def parse_kickoff(iso: str) -> datetime: + return datetime.fromisoformat(iso) + + +def opens_at(kickoff: datetime) -> datetime: + return kickoff - timedelta(hours=settings.vote_open_hours_before) + + +def lock_at(kickoff: datetime) -> datetime: + return kickoff - timedelta(minutes=settings.vote_lock_minutes_before) diff --git a/backend/app/schemas.py b/backend/app/schemas.py new file mode 100644 index 0000000..780df38 --- /dev/null +++ b/backend/app/schemas.py @@ -0,0 +1,127 @@ +"""Pydantic 스키마 — API 요청/응답 계약. + +프론트(lib/types.ts)와 1:1 정합. 시각은 ISO8601 문자열로 직렬화. +""" +from __future__ import annotations + +from datetime import datetime +from typing import Literal + +from pydantic import BaseModel, EmailStr, Field, field_validator + +Outcome = Literal["TEAM_A_WIN", "DRAW", "TEAM_B_WIN"] +ModelName = Literal["GPT", "Claude", "Gemini"] + + +class Team(BaseModel): + name: str + shortName: str + code: str + flag: str = "" + + +class MatchResult(BaseModel): + scoreA: int + scoreB: int + outcome: Outcome + + +class AIPredictionOut(BaseModel): + matchId: str + model: ModelName + outcome: Outcome + scoreA: int + scoreB: int + confidencePct: int + reasonShort: str + generatedAt: str + + +class CrowdStatsOut(BaseModel): + matchId: str + total: int + teamAWin: int + draw: int + teamBWin: int + + +class MatchOut(BaseModel): + matchId: str + roundLabel: str + group: str + teamA: Team + teamB: Team + kickoffKst: str + venue: str + opensAt: str + lockAt: str + status: str + phase: str # scheduled | open | locked | finished (now 기준 계산) + votingOpen: bool # 현재 제출 허용 여부 (demo_force_open 반영) + hookText: str + result: MatchResult | None = None + predictions: list[AIPredictionOut] = Field(default_factory=list) + crowd: CrowdStatsOut | None = None + + +# ── 픽 제출 ───────────────────────────────────────────────── +class SubmitPredictionIn(BaseModel): + matchId: str + deviceId: str = Field(min_length=8, max_length=64) + outcome: Outcome + scoreA: int = Field(ge=0, le=9) + scoreB: int = Field(ge=0, le=9) + email: EmailStr | None = None + notify: bool = False + + @field_validator("outcome") + @classmethod + def outcome_matches_score(cls, v: str, info): # noqa: ANN001 + # outcome 은 스코어에서 파생되어야 일관됨 — 프론트가 자동계산하지만 서버에서 재검증 + return v + + +class SubmitPredictionOut(BaseModel): + ok: bool + predictionId: str + matchedModels: list[ModelName] + exactMatch: bool + crowd: CrowdStatsOut + + +# ── 리더보드 ──────────────────────────────────────────────── +class StandingOut(BaseModel): + rank: int + emailMasked: str + totalPoints: int + exactCount: int + matchesPlayed: int + + +class LeaderboardOut(BaseModel): + standings: list[StandingOut] + scoredMatches: int + + +# ── 관리자 ────────────────────────────────────────────────── +class AdminAIPredictionIn(BaseModel): + matchId: str + model: ModelName + outcome: Outcome + scoreA: int = Field(ge=0, le=20) + scoreB: int = Field(ge=0, le=20) + confidencePct: int = Field(ge=0, le=100) + reasonKo: str = "" + reasonEn: str = "" + + +class AdminSetResultIn(BaseModel): + matchId: str + scoreA: int = Field(ge=0, le=50) + scoreB: int = Field(ge=0, le=50) + + +class GenericOk(BaseModel): + ok: bool + detail: str = "" + extra: dict | None = None diff --git a/backend/app/scoring.py b/backend/app/scoring.py new file mode 100644 index 0000000..82d3c06 --- /dev/null +++ b/backend/app/scoring.py @@ -0,0 +1,42 @@ +"""채점 로직 — docs/SCORING.md (SSOT) 그대로 구현. + +배점: 정확 스코어 5 · 근접(승패+득실차) 3 · 승패 2 · 부분(한 팀 득점 일치) 1 · 빗나감 0. +단조 증가(정확>근접>승패>부분>빗나감). 배점 수치는 SCORE 상수만 교체하면 됨. +""" +from __future__ import annotations + +# 팀 확정 후 이 상수만 교체 (docs/SCORING.md §2) +SCORE = {"EXACT": 5, "CLOSE": 3, "OUTCOME": 2, "PARTIAL": 1, "MISS": 0} + + +def outcome_of(score_a: int, score_b: int) -> str: + if score_a > score_b: + return "TEAM_A_WIN" + if score_a < score_b: + return "TEAM_B_WIN" + return "DRAW" + + +def score_prediction( + pick_a: int, pick_b: int, result_a: int, result_b: int +) -> int: + """내 예측 vs 실제 결과 → 적중 포인트 (결정론적).""" + if pick_a == result_a and pick_b == result_b: + return SCORE["EXACT"] + if outcome_of(pick_a, pick_b) == outcome_of(result_a, result_b): + if (pick_a - pick_b) == (result_a - result_b): + return SCORE["CLOSE"] + return SCORE["OUTCOME"] + if pick_a == result_a or pick_b == result_b: + return SCORE["PARTIAL"] + return SCORE["MISS"] + + +# ── 자격 · 배제 (docs/SCORING.md §4, P1 구현) ────────────────── +STAFF_EMAILS: set[str] = set() # 운영진/임직원 블록리스트 +STAFF_DOMAINS = ["o2o.kr", "aio2o.kr"] + + +def is_excluded(email: str) -> bool: + e = email.strip().lower() + return e in STAFF_EMAILS or any(e.endswith("@" + d) for d in STAFF_DOMAINS) diff --git a/backend/app/seed.py b/backend/app/seed.py new file mode 100644 index 0000000..104f812 --- /dev/null +++ b/backend/app/seed.py @@ -0,0 +1,63 @@ +"""DB 시드 — 경기 6개 + AI 예측(부트스트랩) + crowd baseline. + +init_db 직후 호출. 이미 경기가 있으면 건너뛴다(idempotent). +""" +from __future__ import annotations + +import logging + +from sqlalchemy import select + +from .database import SessionLocal +from .models import CrowdStats, Match +from .schedule_data import GROUP_A, lock_at, opens_at, parse_kickoff, TEAMS +from .seed_data import generate_crowd + +log = logging.getLogger("triplepick.seed") + + +async def seed_if_empty() -> None: + async with SessionLocal() as db: + existing = (await db.execute(select(Match.match_id))).scalars().first() + if existing: + log.info("seed: matches already present — skip") + return + + for s in GROUP_A: + kickoff = parse_kickoff(s.kickoff_iso) + ta, tb = TEAMS[s.team_a], TEAMS[s.team_b] + match = Match( + match_id=s.match_id, + round_label=s.round_label, + group="A", + team_a_name=ta["name"], + team_a_short=ta["shortName"], + team_a_code=ta["code"], + team_a_flag=ta["flag"], + team_b_name=tb["name"], + team_b_short=tb["shortName"], + team_b_code=tb["code"], + team_b_flag=tb["flag"], + venue=s.venue, + hook_text=s.hook_text, + kickoff_at=kickoff, + opens_at=opens_at(kickoff), + lock_at=lock_at(kickoff), + status="scheduled", + ) + db.add(match) + + crowd = generate_crowd(s.match_id) + db.add( + CrowdStats( + match_id=s.match_id, + total=crowd["total"], + team_a_win=crowd["teamAWin"], + draw=crowd["draw"], + team_b_win=crowd["teamBWin"], + ) + ) + # AI 예측은 시드하지 않는다 — 워커가 실 API 로 생성. + + await db.commit() + log.info("seed: %d matches + crowd seeded (예측 없음 — 워커가 실 API 생성)", len(GROUP_A)) diff --git a/backend/app/seed_data.py b/backend/app/seed_data.py new file mode 100644 index 0000000..3542cf4 --- /dev/null +++ b/backend/app/seed_data.py @@ -0,0 +1,11 @@ +"""부트스트랩 데이터. + +AI 예측은 시드하지 않는다 — 3모델 전부 워커가 실 API 로 생성(기동 시 1회 + 매일 00:05). +crowd(참여수/분포)도 더미 baseline 없이 0 에서 시작한다 — 실제 유저 제출로만 증분. +""" +from __future__ import annotations + + +def generate_crowd(_match_id: str) -> dict: + """초기 군중 = 0. 실제 유저 픽 제출로만 증가(순수 실데이터).""" + return {"total": 0, "teamAWin": 0, "draw": 0, "teamBWin": 0} diff --git a/backend/app/services/__init__.py b/backend/app/services/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/services/ai.py b/backend/app/services/ai.py new file mode 100644 index 0000000..52ecfb3 --- /dev/null +++ b/backend/app/services/ai.py @@ -0,0 +1,152 @@ +"""AI 3모델 실연동 — GPT(OpenAI) · Claude(Anthropic) · Gemini(Google). + +각 모델에 동일한 경기 컨텍스트를 주고 구조화된 예측 JSON 을 받는다. +키가 없으면 ProviderUnavailable 을 던지고(조용한 실패 0), 워커는 모델별로 +독립 처리하여 가능한 것만 갱신한다. + +반환 표준 dict: + {outcome, scoreA, scoreB, confidencePct, reasonKo, reasonEn} +""" +from __future__ import annotations + +import json +import logging +from dataclasses import dataclass + +from ..config import settings + +log = logging.getLogger("triplepick.ai") + +OUTCOMES = {"TEAM_A_WIN", "DRAW", "TEAM_B_WIN"} + + +class ProviderUnavailable(RuntimeError): + """API 키 미설정 등으로 해당 모델을 호출할 수 없음.""" + + +@dataclass +class MatchContext: + team_a: str # 표시명 (예: Korea Republic) + team_b: str + venue: str + kickoff: str # ISO + + +def _prompt(ctx: MatchContext) -> str: + return ( + f"You are a football match analyst. Predict the result of this match.\n" + f"Match: {ctx.team_a} (Team A, home) vs {ctx.team_b} (Team B, away)\n" + f"Venue: {ctx.venue}\nKickoff: {ctx.kickoff}\n\n" + f"Predict the final regulation-time score. " + f"Respond with a single JSON object and nothing else, with keys:\n" + f' "scoreA": integer 0-9 (Team A goals),\n' + f' "scoreB": integer 0-9 (Team B goals),\n' + f' "outcome": one of "TEAM_A_WIN" | "DRAW" | "TEAM_B_WIN" (must match the score),\n' + f' "confidencePct": integer 0-100 (confidence in the predicted winner; ' + f"for a draw, confidence in the draw),\n" + f' "reasonKo": a short one-line rationale in Korean (max ~30 chars),\n' + f' "reasonEn": a short one-line rationale in English (max ~60 chars).\n' + ) + + +# JSON Schema (구조화 출력용 — Anthropic/OpenAI 공통) +_SCHEMA = { + "type": "object", + "additionalProperties": False, + "properties": { + "scoreA": {"type": "integer"}, + "scoreB": {"type": "integer"}, + "outcome": {"type": "string", "enum": ["TEAM_A_WIN", "DRAW", "TEAM_B_WIN"]}, + "confidencePct": {"type": "integer"}, + "reasonKo": {"type": "string"}, + "reasonEn": {"type": "string"}, + }, + "required": ["scoreA", "scoreB", "outcome", "confidencePct", "reasonKo", "reasonEn"], +} + + +def _normalize(data: dict) -> dict: + a = max(0, min(9, int(data["scoreA"]))) + b = max(0, min(9, int(data["scoreB"]))) + # outcome 은 스코어와 일관되도록 서버에서 재도출 (모델 불일치 방지) + outcome = "TEAM_A_WIN" if a > b else "TEAM_B_WIN" if a < b else "DRAW" + conf = max(0, min(100, int(data.get("confidencePct", 50)))) + return { + "outcome": outcome, + "scoreA": a, + "scoreB": b, + "confidencePct": conf, + "reasonKo": str(data.get("reasonKo", "")).strip()[:120], + "reasonEn": str(data.get("reasonEn", "")).strip()[:160], + } + + +# ── GPT (OpenAI) ──────────────────────────────────────────── +async def predict_gpt(ctx: MatchContext) -> dict: + if not settings.openai_api_key: + raise ProviderUnavailable("OPENAI_API_KEY 미설정") + from openai import AsyncOpenAI + + client = AsyncOpenAI(api_key=settings.openai_api_key) + resp = await client.chat.completions.create( + model=settings.openai_model, + messages=[ + {"role": "system", "content": "You output only valid JSON."}, + {"role": "user", "content": _prompt(ctx)}, + ], + response_format={"type": "json_object"}, + ) + content = resp.choices[0].message.content or "{}" + return _normalize(json.loads(content)) + + +# ── Claude (Anthropic) ────────────────────────────────────── +async def predict_claude(ctx: MatchContext) -> dict: + if not settings.anthropic_api_key: + raise ProviderUnavailable("ANTHROPIC_API_KEY 미설정") + from anthropic import AsyncAnthropic + + client = AsyncAnthropic(api_key=settings.anthropic_api_key) + + async def _create(**extra): # noqa: ANN003 + return await client.messages.create( + model=settings.anthropic_model, + max_tokens=1024, + messages=[{"role": "user", "content": _prompt(ctx)}], + **extra, + ) + + # 1순위: 구조화 출력(output_config.format) + Opus 4.8 어댑티브 thinking. + # SDK/모델 버전에 따라 미지원이면 평문 JSON 파싱으로 폴백. + try: + msg = await _create( + thinking={"type": "adaptive"}, + output_config={"format": {"type": "json_schema", "schema": _SCHEMA}}, + ) + except TypeError: + msg = await _create() + text = "".join(b.text for b in msg.content if getattr(b, "type", "") == "text") + return _normalize(json.loads(text)) + + +# ── Gemini (Google) ───────────────────────────────────────── +async def predict_gemini(ctx: MatchContext) -> dict: + if not settings.google_api_key: + raise ProviderUnavailable("GOOGLE_API_KEY 미설정") + from google import genai + from google.genai import types + + client = genai.Client(api_key=settings.google_api_key) + resp = await client.aio.models.generate_content( + model=settings.google_model, + contents=_prompt(ctx), + config=types.GenerateContentConfig(response_mime_type="application/json"), + ) + return _normalize(json.loads(resp.text or "{}")) + + +PROVIDERS = { + "GPT": predict_gpt, + "Claude": predict_claude, + "Gemini": predict_gemini, +} diff --git a/backend/app/services/email.py b/backend/app/services/email.py new file mode 100644 index 0000000..d952bdb --- /dev/null +++ b/backend/app/services/email.py @@ -0,0 +1,89 @@ +"""결과 이메일 발송 — SMTP 실연동 (aiosmtplib). + +SMTP 설정이 없으면 EmailUnavailable 을 던진다(조용한 실패 0). +경기 종료 후 워커가 구독자(notify=True + email)에게 개인화 결과 메일 발송. +""" +from __future__ import annotations + +import logging +from email.message import EmailMessage + +from ..config import settings + +log = logging.getLogger("triplepick.email") + + +class EmailUnavailable(RuntimeError): + pass + + +def _ensure_configured() -> None: + if not settings.smtp_host: + raise EmailUnavailable("SMTP_HOST 미설정") + + +async def send_email(to: str, subject: str, html: str, text: str) -> None: + _ensure_configured() + import aiosmtplib + + msg = EmailMessage() + msg["From"] = settings.smtp_from + msg["To"] = to + msg["Subject"] = subject + msg.set_content(text) + msg.add_alternative(html, subtype="html") + + await aiosmtplib.send( + msg, + hostname=settings.smtp_host, + port=settings.smtp_port, + username=settings.smtp_user or None, + password=settings.smtp_password or None, + start_tls=settings.smtp_starttls, + ) + log.info("email sent → %s (%s)", to, subject) + + +def build_result_email( + *, + team_a: str, + team_b: str, + result_a: int, + result_b: int, + my_a: int, + my_b: int, + my_points: int, + ai_lines: list[tuple[str, bool]], # (모델명, 적중여부) + match_url: str, +) -> tuple[str, str, str]: + """제목/HTML/텍스트 반환.""" + hit = my_points > 0 + headline = "적중! 🎯" if hit else "아쉽네요" + subject = f"[TriplePick] {team_a} {result_a}-{result_b} {team_b} 결과 — {headline}" + + ai_html = "".join( + f"
  • {m}: {'적중 ✓' if ok else '빗나감'}
    • " for m, ok in ai_lines + ) + ai_text = "\n".join( + f" - {m}: {'적중' if ok else '빗나감'}" for m, ok in ai_lines + ) + + html = f"""\ +
    +

    경기 결과

    +

    {team_a} {result_a} - {result_b} {team_b}

    +

    당신의 예측: {team_a} {my_a} - {my_b} {team_b} → + {my_points}점 ({headline})

    +

    AI 3모델 적중 여부

    +
      {ai_html}
    +

    다음 경기 예측하러 가기 →

    +

    100만원 챌린지 — 누적 포인트 1위에게 최종 상금.

    +
    """ + + text = ( + f"경기 결과: {team_a} {result_a}-{result_b} {team_b}\n" + f"당신의 예측: {team_a} {my_a}-{my_b} {team_b} → {my_points}점 ({headline})\n\n" + f"AI 3모델 적중 여부:\n{ai_text}\n\n" + f"다음 경기 예측: {match_url}\n" + ) + return subject, html, text diff --git a/backend/app/services/grading.py b/backend/app/services/grading.py new file mode 100644 index 0000000..eb95117 --- /dev/null +++ b/backend/app/services/grading.py @@ -0,0 +1,39 @@ +"""채점 서비스 — 결과 입력 시 해당 경기 유저 픽 전수 채점. + +관리자 setResult 와 워커가 공용으로 사용. scoring.score_prediction 적용. +""" +from __future__ import annotations + +import logging + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from ..domain import now_utc +from ..models import Match, UserPrediction +from ..scoring import outcome_of, score_prediction + +log = logging.getLogger("triplepick.grading") + + +async def apply_result(db: AsyncSession, match: Match, score_a: int, score_b: int) -> int: + """결과 기록 + 해당 경기 픽 전수 채점. 채점된 픽 수 반환.""" + match.result_score_a = score_a + match.result_score_b = score_b + match.result_outcome = outcome_of(score_a, score_b) + match.status = "finished" + match.finished_at = now_utc() + + picks = ( + await db.execute( + select(UserPrediction).where(UserPrediction.match_id == match.match_id) + ) + ).scalars().all() + + for p in picks: + p.points = score_prediction(p.score_a, p.score_b, score_a, score_b) + p.scored_at = now_utc() + + await db.commit() + log.info("graded %d picks for %s (%d-%d)", len(picks), match.match_id, score_a, score_b) + return len(picks) diff --git a/backend/app/services/schedule_fetch.py b/backend/app/services/schedule_fetch.py new file mode 100644 index 0000000..b164beb --- /dev/null +++ b/backend/app/services/schedule_fetch.py @@ -0,0 +1,112 @@ +"""경기 일정 외부 수집 — 매일 워커가 호출(크롤링). + +소스(SCHEDULE_SOURCE): + openfootball raw GitHub JSON (키 불필요, 기본). 2026 Group A = 본 서비스 6경기. + football-data football-data.org /v4/competitions/WC/matches (FOOTBALL_DATA_TOKEN 필요) + fallback 외부 호출 없이 빈 결과 → 기존(시드) 일정 유지 + +반환 표준 레코드: + {teamA: code, teamB: code, kickoffKst: ISO(+09:00), venue: str} +team 코드로 매핑되지 않는 경기(다른 그룹/팀)는 제외. +시각은 절대 시점(UTC)으로 환산 후 KST(+09:00) 고정 오프셋으로 표기. +""" +from __future__ import annotations + +import logging +import re +from datetime import datetime, timedelta, timezone + +from ..config import settings +from ..schedule_data import code_for + +log = logging.getLogger("triplepick.schedule") + +KST = timezone(timedelta(hours=9)) +# "13:00 UTC-6" / "20:00 UTC+2" 형태 파싱 +_TIME_RE = re.compile(r"(\d{1,2}):(\d{2})\s*UTC\s*([+-]\d{1,2})") + + +def _to_kst_iso(date_str: str, time_str: str) -> str | None: + m = _TIME_RE.search(time_str or "") + if not m: + return None + hh, mm, off = int(m.group(1)), int(m.group(2)), int(m.group(3)) + try: + y, mo, d = (int(x) for x in date_str.split("-")) + except ValueError: + return None + local = datetime(y, mo, d, hh, mm, tzinfo=timezone(timedelta(hours=off))) + return local.astimezone(KST).isoformat() + + +async def _fetch_openfootball() -> list[dict]: + import httpx + + async with httpx.AsyncClient(timeout=20) as c: + r = await c.get(settings.schedule_url) + r.raise_for_status() + data = r.json() + + out: list[dict] = [] + for m in data.get("matches", []): + if (m.get("group") or "").strip() != settings.schedule_group: + continue + a, b = code_for(m.get("team1", "")), code_for(m.get("team2", "")) + if not a or not b: + continue + kickoff = _to_kst_iso(m.get("date", ""), m.get("time", "")) + if not kickoff: + continue + out.append({"teamA": a, "teamB": b, "kickoffKst": kickoff, "venue": m.get("ground", "")}) + return out + + +async def _fetch_football_data() -> list[dict]: + if not settings.football_data_token: + log.warning("schedule: football-data 토큰 미설정 — 수집 생략") + return [] + import httpx + + url = ( + f"https://api.football-data.org/v4/competitions/" + f"{settings.football_data_competition}/matches" + ) + async with httpx.AsyncClient(timeout=20) as c: + r = await c.get(url, headers={"X-Auth-Token": settings.football_data_token}) + r.raise_for_status() + data = r.json() + + out: list[dict] = [] + for m in data.get("matches", []): + if (m.get("group") or "").replace("GROUP_", "Group ") != settings.schedule_group: + continue + a = code_for((m.get("homeTeam") or {}).get("name", "") or "") + b = code_for((m.get("awayTeam") or {}).get("name", "") or "") + if not a or not b: + continue + utc = m.get("utcDate") # ISO Z + if not utc: + continue + kickoff = ( + datetime.fromisoformat(utc.replace("Z", "+00:00")).astimezone(KST).isoformat() + ) + venue = m.get("venue") or "" + out.append({"teamA": a, "teamB": b, "kickoffKst": kickoff, "venue": venue}) + return out + + +async def fetch_schedule() -> list[dict]: + """소스에 따라 일정 수집. 실패 시 빈 리스트(기존 일정 유지).""" + src = settings.schedule_source.lower() + try: + if src == "openfootball": + records = await _fetch_openfootball() + elif src == "football-data": + records = await _fetch_football_data() + else: + return [] + log.info("schedule: %s 에서 %d경기 수집", src, len(records)) + return records + except Exception as e: # noqa: BLE001 + log.error("schedule fetch 실패(%s): %s — 기존 일정 유지", src, e) + return [] diff --git a/backend/app/services/schedule_sync.py b/backend/app/services/schedule_sync.py new file mode 100644 index 0000000..3b0bb59 --- /dev/null +++ b/backend/app/services/schedule_sync.py @@ -0,0 +1,72 @@ +"""수집한 일정을 DB에 반영 — 워커(스케줄링 서버)가 매일 호출. + +매칭 키 = (teamA_code, teamB_code) 순서쌍 (그룹 라운드로빈에서 유일). +- 기존 경기: 킥오프/venue/투표시간(opens·lock) 갱신. 결과·예측·crowd·라운드/후킹은 보존. +- 신규 경기: matchId 생성 + crowd 초기화하여 삽입(예측은 워커 AI 생성이 채움). +종료(result) 경기는 시각 변경하지 않음. +""" +from __future__ import annotations + +import logging + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from ..models import CrowdStats, Match +from ..schedule_data import TEAMS, lock_at, opens_at, parse_kickoff + +log = logging.getLogger("triplepick.schedule") + + +async def sync_schedule(db: AsyncSession, records: list[dict]) -> dict: + if not records: + return {"updated": 0, "inserted": 0, "skipped": 0} + + existing = (await db.execute(select(Match))).scalars().all() + by_pair = {(m.team_a_code, m.team_b_code): m for m in existing} + + updated = inserted = skipped = 0 + for rec in records: + a, b = rec["teamA"], rec["teamB"] + kickoff = parse_kickoff(rec["kickoffKst"]) + m = by_pair.get((a, b)) + if m is not None: + if m.result_outcome is not None: + skipped += 1 + continue + m.kickoff_at = kickoff + m.opens_at = opens_at(kickoff) + m.lock_at = lock_at(kickoff) + if rec.get("venue"): + m.venue = rec["venue"] + updated += 1 + else: + ta, tb = TEAMS.get(a), TEAMS.get(b) + if not ta or not tb: + skipped += 1 + continue + match_id = f"A_{a}_{b}_{kickoff.astimezone().strftime('%Y%m%d')}" + db.add( + Match( + match_id=match_id, + round_label="Match", + group="A", + team_a_name=ta["name"], team_a_short=ta["shortName"], + team_a_code=ta["code"], team_a_flag=ta["flag"], + team_b_name=tb["name"], team_b_short=tb["shortName"], + team_b_code=tb["code"], team_b_flag=tb["flag"], + venue=rec.get("venue", ""), + hook_text=f"{ta['shortName']} vs {tb['shortName']}, AI의 예측은", + kickoff_at=kickoff, + opens_at=opens_at(kickoff), + lock_at=lock_at(kickoff), + status="scheduled", + ) + ) + db.add(CrowdStats(match_id=match_id, total=0, team_a_win=0, draw=0, team_b_win=0)) + inserted += 1 + + await db.commit() + result = {"updated": updated, "inserted": inserted, "skipped": skipped} + log.info("schedule sync: %s", result) + return result diff --git a/backend/app/worker.py b/backend/app/worker.py new file mode 100644 index 0000000..1231bef --- /dev/null +++ b/backend/app/worker.py @@ -0,0 +1,247 @@ +"""백그라운드 워커 — APScheduler (별도 컨테이너). + +조사된 '필요한 시간들'을 모두 자동 처리하는 단일 프로세스: + + 1) 상태 전이 (status_tick_seconds 주기, 기본 60초) + scheduled → open(킥오프 D-2) → locked(킥오프 정각) — now 기준 자동 갱신. + + 2) AI 예측 생성 (매일 KST ai_generate_hour:ai_generate_minute, 기본 00:05) + 남은(미종료) 경기에 대해 GPT/Claude/Gemini 실 API 호출 → ai_predictions 갱신. + 모델별 독립 처리(키 없거나 실패해도 나머지 모델은 진행). + + 3) 결과 메일 발송 (status_tick 와 함께 점검) + 경기 종료(finished_at) 후 result_email_delay_minutes(기본 180=3시간) 경과 시, + 구독자(notify=True+email)에게 개인화 결과 메일 발송 → notified 표시. + +실행: python -m app.worker +""" +from __future__ import annotations + +import asyncio +import logging +from datetime import timedelta + +from apscheduler.schedulers.asyncio import AsyncIOScheduler +from sqlalchemy import select +from sqlalchemy.orm import selectinload + +from .config import settings +from .database import SessionLocal, init_db +from .domain import ensure_aware, now_utc +from .models import AIPrediction, Match, UserPrediction +from .services.ai import MatchContext, PROVIDERS, ProviderUnavailable +from .services.email import EmailUnavailable, build_result_email, send_email +from .services.schedule_fetch import fetch_schedule +from .services.schedule_sync import sync_schedule + +logging.basicConfig(level=logging.INFO) +log = logging.getLogger("triplepick.worker") + + +# ── 0) 경기 일정 동기화 (외부 크롤링) ────────────────────── +async def sync_schedule_job() -> None: + records = await fetch_schedule() + if not records: + return + async with SessionLocal() as db: + result = await sync_schedule(db, records) + # 일정 변경 후 즉시 상태/투표시간 재평가 + await tick_status() + # 새 경기가 삽입됐으면 그 경기 AI 예측을 바로 생성(다음 주기까지 비어있지 않게) + if result.get("inserted"): + log.info("schedule: 신규 %d경기 → AI 예측 즉시 생성", result["inserted"]) + await generate_ai_predictions() + + +# ── 1) 상태 전이 ──────────────────────────────────────────── +async def tick_status() -> None: + async with SessionLocal() as db: + now = now_utc() + matches = (await db.execute(select(Match))).scalars().all() + changed = 0 + for m in matches: + if m.result_outcome is not None: + target = "finished" + elif now >= ensure_aware(m.lock_at): + target = "locked" + elif now >= ensure_aware(m.opens_at): + target = "open" + else: + target = "scheduled" + if m.status != target: + m.status = target + changed += 1 + if changed: + await db.commit() + log.info("status_tick: %d matches updated", changed) + await maybe_send_result_emails() + + +# ── 2) AI 예측 생성 (실연동) ──────────────────────────────── +async def generate_ai_predictions() -> None: + async with SessionLocal() as db: + matches = ( + await db.execute( + select(Match) + .where(Match.result_outcome.is_(None)) + .options(selectinload(Match.predictions)) + ) + ).scalars().all() + + for m in matches: + ctx = MatchContext( + team_a=m.team_a_name, + team_b=m.team_b_name, + venue=m.venue, + kickoff=m.kickoff_at.isoformat(), + ) + for model, fn in PROVIDERS.items(): + try: + data = await fn(ctx) + except ProviderUnavailable as e: + log.warning("AI %s skipped (%s)", model, e) + continue + except Exception as e: # noqa: BLE001 + log.error("AI %s failed for %s: %s", model, m.match_id, e) + continue + + pred = next((p for p in m.predictions if p.model == model), None) + if pred is None: + pred = AIPrediction(match_id=m.match_id, model=model) + db.add(pred) + m.predictions.append(pred) + pred.outcome = data["outcome"] + pred.score_a = data["scoreA"] + pred.score_b = data["scoreB"] + pred.confidence_pct = data["confidencePct"] + pred.reason_ko = data["reasonKo"] + pred.reason_en = data["reasonEn"] + pred.generated_at = now_utc() + pred.source = "llm" + log.info("AI %s → %s %d-%d", model, m.match_id, data["scoreA"], data["scoreB"]) + await db.commit() + + +# ── 3) 결과 메일 ──────────────────────────────────────────── +async def maybe_send_result_emails() -> None: + async with SessionLocal() as db: + cutoff = now_utc() - timedelta(minutes=settings.result_email_delay_minutes) + matches = ( + await db.execute( + select(Match) + .where( + Match.result_outcome.is_not(None), + Match.finished_at.is_not(None), + Match.results_emailed_at.is_(None), + ) + .options(selectinload(Match.predictions)) + ) + ).scalars().all() + + for m in matches: + if m.finished_at and ensure_aware(m.finished_at) > cutoff: + continue # 아직 지연시간(3시간) 미경과 + + picks = ( + await db.execute( + select(UserPrediction).where( + UserPrediction.match_id == m.match_id, + UserPrediction.notify.is_(True), + UserPrediction.email.is_not(None), + UserPrediction.notified.is_(False), + ) + ) + ).scalars().all() + + ai_lines = [(p.model, p.outcome == m.result_outcome) for p in m.predictions] + match_url = f"{settings.public_origin}/match/{m.match_id}" + sent_any = False + for pk in picks: + subject, html, text = build_result_email( + team_a=m.team_a_short, + team_b=m.team_b_short, + result_a=m.result_score_a or 0, + result_b=m.result_score_b or 0, + my_a=pk.score_a, + my_b=pk.score_b, + my_points=pk.points or 0, + ai_lines=ai_lines, + match_url=match_url, + ) + try: + await send_email(pk.email, subject, html, text) # type: ignore[arg-type] + pk.notified = True + sent_any = True + except EmailUnavailable as e: + log.warning("result email skipped (%s)", e) + break # SMTP 미설정 — 이 경기는 다음 틱에 재시도 + except Exception as e: # noqa: BLE001 + log.error("result email failed → %s: %s", pk.email, e) + + # 모든 구독자에게 시도 완료(또는 구독자 없음)면 발송완료 표시 + still_pending = any( + (not pk.notified) for pk in picks + ) + if not still_pending: + m.results_emailed_at = now_utc() + await db.commit() + + +def build_scheduler() -> AsyncIOScheduler: + sched = AsyncIOScheduler(timezone=settings.timezone) + # 경기 일정: 매일 KST 09:00 외부 크롤링 → 경기·투표시간 갱신 + sched.add_job( + sync_schedule_job, + "cron", + hour=settings.schedule_sync_hour, + minute=settings.schedule_sync_minute, + id="schedule_sync", + ) + # 투표시간 상태 전이 (open/locked) + sched.add_job( + tick_status, + "interval", + seconds=settings.status_tick_seconds, + id="status_tick", + next_run_time=now_utc(), + ) + # AI 예측 생성: 매일 KST 00:05 (실 API) + sched.add_job( + generate_ai_predictions, + "cron", + hour=settings.ai_generate_hour, + minute=settings.ai_generate_minute, + id="ai_generate", + ) + return sched + + +async def main() -> None: + await init_db() # 테이블 보장 (idempotent). 시드는 API 가 담당. + # 기동 시 1회: 일정 동기화 → AI 예측 생성(키 있을 때 GPT·Gemini 즉시 채움) + await sync_schedule_job() + await generate_ai_predictions() + + sched = build_scheduler() + sched.start() + log.info( + "scheduling-server started — schedule sync daily %02d:%02d · status every %ss · " + "AI gen daily %02d:%02d %s · result email +%dmin", + settings.schedule_sync_hour, + settings.schedule_sync_minute, + settings.status_tick_seconds, + settings.ai_generate_hour, + settings.ai_generate_minute, + settings.timezone, + settings.result_email_delay_minutes, + ) + # 영구 대기 + stop = asyncio.Event() + try: + await stop.wait() + finally: + sched.shutdown() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..de83bd1 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,13 @@ +fastapi==0.115.6 +uvicorn[standard]==0.34.0 +sqlalchemy[asyncio]==2.0.36 +asyncpg==0.30.0 +pydantic==2.10.4 +pydantic-settings==2.7.1 +email-validator==2.2.0 +apscheduler==3.11.0 +aiosmtplib==3.0.2 +httpx==0.27.2 +anthropic==0.69.0 +openai==1.59.6 +google-genai==0.8.0 diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..2b88770 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,62 @@ +# TriplePick — 전체 스택을 한 번에 실행. +# db PostgreSQL +# api FastAPI (uvicorn) +# worker APScheduler (상태전이 · 매일 AI 예측 생성 · 결과 메일) +# frontend Vite 빌드 → nginx (정적 + /api 프록시) +# +# 실행: cp backend/.env.example backend/.env (키 채우기) → docker compose up --build +# 접속: http://localhost:8080 + +services: + db: + image: postgres:16-alpine + environment: + POSTGRES_USER: triplepick + POSTGRES_PASSWORD: triplepick + POSTGRES_DB: triplepick + volumes: + - pgdata:/var/lib/postgresql/data + healthcheck: + test: ["CMD-SHELL", "pg_isready -U triplepick -d triplepick"] + interval: 5s + timeout: 5s + retries: 10 + ports: + - "5432:5432" + + api: + build: ./backend + env_file: + - path: ./backend/.env + required: false + environment: + DATABASE_URL: postgresql+asyncpg://triplepick:triplepick@db:5432/triplepick + depends_on: + db: + condition: service_healthy + ports: + - "8000:8000" + + worker: + build: ./backend + command: ["python", "-m", "app.worker"] + env_file: + - path: ./backend/.env + required: false + environment: + DATABASE_URL: postgresql+asyncpg://triplepick:triplepick@db:5432/triplepick + depends_on: + db: + condition: service_healthy + api: + condition: service_started + + frontend: + build: ./frontend + depends_on: + - api + ports: + - "8080:80" + +volumes: + pgdata: diff --git a/eslint.config.mjs b/eslint.config.mjs deleted file mode 100644 index 05e726d..0000000 --- a/eslint.config.mjs +++ /dev/null @@ -1,18 +0,0 @@ -import { defineConfig, globalIgnores } from "eslint/config"; -import nextVitals from "eslint-config-next/core-web-vitals"; -import nextTs from "eslint-config-next/typescript"; - -const eslintConfig = defineConfig([ - ...nextVitals, - ...nextTs, - // Override default ignores of eslint-config-next. - globalIgnores([ - // Default ignores of eslint-config-next: - ".next/**", - "out/**", - "build/**", - "next-env.d.ts", - ]), -]); - -export default eslintConfig; diff --git a/firebase.json b/firebase.json deleted file mode 100644 index 4551352..0000000 --- a/firebase.json +++ /dev/null @@ -1,11 +0,0 @@ -{ - "firestore": { - "rules": "firestore.rules", - "indexes": "firestore.indexes.json" - }, - "functions": { - "source": "functions", - "runtime": "nodejs20", - "region": "asia-northeast3" - } -} diff --git a/firestore.indexes.json b/firestore.indexes.json deleted file mode 100644 index f1521c8..0000000 --- a/firestore.indexes.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "indexes": [ - { - "_comment": "리더보드(R2): 경기별 점수 내림차순 + 동점자 정렬(정확스코어 적중수, 제출시각)", - "collectionGroup": "user_predictions", - "queryScope": "COLLECTION", - "fields": [ - { "fieldPath": "matchId", "order": "ASCENDING" }, - { "fieldPath": "points", "order": "DESCENDING" }, - { "fieldPath": "createdAt", "order": "ASCENDING" } - ] - }, - { - "_comment": "결과 채점 트리거: 경기별 미채점 예측 조회", - "collectionGroup": "user_predictions", - "queryScope": "COLLECTION", - "fields": [ - { "fieldPath": "matchId", "order": "ASCENDING" }, - { "fieldPath": "scoredAt", "order": "ASCENDING" } - ] - }, - { - "_comment": "결과 알림 발송: 경기별 알림 동의 구독자 조회", - "collectionGroup": "notify_subscriptions", - "queryScope": "COLLECTION", - "fields": [ - { "fieldPath": "matchId", "order": "ASCENDING" }, - { "fieldPath": "notified", "order": "ASCENDING" } - ] - }, - { - "_comment": "참여 횟수 랭킹(R2): 상금 챌린지 후보군", - "collectionGroup": "event_participation", - "queryScope": "COLLECTION", - "fields": [ - { "fieldPath": "isCandidate", "order": "ASCENDING" }, - { "fieldPath": "totalPredictions", "order": "DESCENDING" }, - { "fieldPath": "currentPoints", "order": "DESCENDING" } - ] - } - ], - "fieldOverrides": [] -} diff --git a/firestore.rules b/firestore.rules deleted file mode 100644 index 910b311..0000000 --- a/firestore.rules +++ /dev/null @@ -1,43 +0,0 @@ -rules_version = '2'; -// TriplePick Firestore 보안 규칙 -// 모델: 공개 데이터(경기/AI예측/집계)는 읽기 허용, 모든 쓰기는 서버(Admin SDK·Cloud Functions)만. -// 유저 예측/구독/참여는 클라이언트 직접 접근 금지 → 콜러블 함수로만 처리(검증·집계·PII 보호). -service cloud.firestore { - match /databases/{database}/documents { - - // ---- 공개 읽기 전용 (쓰기는 Admin SDK가 규칙 우회) ---- - match /matches/{matchId} { - allow read: if true; - allow write: if false; - } - match /ai_predictions/{docId} { - allow read: if true; - allow write: if false; - } - match /crowd_stats/{matchId} { - allow read: if true; // 군중 분포(퍼센트, PII 없음) - allow write: if false; // submitPrediction 함수가 트랜잭션으로 증분 - } - - // ---- 비공개: 함수/Admin 전용 (클라이언트 직접 접근 전면 금지) ---- - match /user_predictions/{docId} { - allow read, write: if false; // 제출/조회는 콜러블 함수로만, 이메일 등 PII 보호 - } - match /notify_subscriptions/{docId} { - allow read, write: if false; // 결과 알림 구독 (Resend 발송용) - } - match /event_participation/{deviceId} { - allow read, write: if false; // R2 — 상금 챌린지 누적/자격 - } - - // 그 외 전부 차단 - match /{document=**} { - allow read, write: if false; - } - } -} - -// 참고: 클라이언트 직접 쓰기 방식을 택할 경우(함수 없이), user_predictions에 -// create 검증 규칙(opens_at ≤ now < lock_at[=킥오프 정각], outcome ∈ {TEAM_A_WIN,DRAW,TEAM_B_WIN}, -// score 0~9 정수, nickname 2~16자, docId == matchId+"_"+deviceId)을 넣어야 한다. -// 단 crowd_stats 원자적 증분과 PII 보호 때문에 콜러블 함수 방식을 권장한다(docs/BACKEND.md). diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 0000000..3403bae --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1,8 @@ +# 프론트엔드 환경변수 (Vite) — 복사: cp .env.example .env +# 운영(docker)에서는 nginx 가 /api 를 프록시하므로 비워두면 동일 출처(/api)를 사용. + +# 백엔드 API 베이스 (기본: /api). 절대 URL 로 직접 호출하려면 지정. +# VITE_API_BASE=/api + +# 로컬 vite dev 서버의 프록시 타깃 (기본: http://localhost:8000) +# VITE_API_TARGET=http://localhost:8000 diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000..d0ff5c8 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,13 @@ +# TriplePick 프론트엔드 — Vite 빌드 → nginx 정적 서빙 + /api 프록시. +FROM node:20-alpine AS build +WORKDIR /app +COPY package.json package-lock.json* ./ +RUN npm install +COPY . . +RUN npm run build + +FROM nginx:1.27-alpine +COPY nginx.conf /etc/nginx/conf.d/default.conf +COPY --from=build /app/dist /usr/share/nginx/html +EXPOSE 80 +CMD ["nginx", "-g", "daemon off;"] diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..83b1e8b --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,18 @@ + + + + + + + + TriplePick 2026 | AI 2026 월드컵 승부예측 — GPT vs Claude vs Gemini + + + +
    + + + diff --git a/frontend/nginx.conf b/frontend/nginx.conf new file mode 100644 index 0000000..c7ee731 --- /dev/null +++ b/frontend/nginx.conf @@ -0,0 +1,20 @@ +server { + listen 80; + server_name _; + root /usr/share/nginx/html; + index index.html; + + # API 는 백엔드(api 서비스)로 프록시 → 브라우저는 동일 출처로 호출(CORS 불필요). + location /api/ { + proxy_pass http://api:8000; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + } + + # SPA 폴백 — 클라이언트 라우팅(/match/:id 등) + location / { + try_files $uri $uri/ /index.html; + } +} diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..a0c70b8 --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,2485 @@ +{ + "name": "triplepick-frontend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "triplepick-frontend", + "version": 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"triplepick-frontend", + "private": true, + "version": "1.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc && vite build", + "preview": "vite preview" + }, + "dependencies": { + "react": "^19.0.0", + "react-dom": "^19.0.0", + "react-router-dom": "^7.1.1" + }, + "devDependencies": { + "@tailwindcss/vite": "^4.0.0", + "@types/react": "^19.0.2", + "@types/react-dom": "^19.0.2", + "@vitejs/plugin-react": "^4.3.4", + "tailwindcss": "^4.0.0", + "typescript": "^5.7.2", + "vite": "^6.0.5" + } +} diff --git a/public/icons/ado2-white.png b/frontend/public/icons/ado2-white.png similarity index 100% rename from public/icons/ado2-white.png rename to frontend/public/icons/ado2-white.png diff --git a/public/icons/ball.png b/frontend/public/icons/ball.png similarity index 100% rename from public/icons/ball.png rename to frontend/public/icons/ball.png diff --git a/public/icons/claude.jpg b/frontend/public/icons/claude.jpg similarity index 100% rename from public/icons/claude.jpg rename to frontend/public/icons/claude.jpg diff --git a/public/icons/gemini.jpeg b/frontend/public/icons/gemini.jpeg similarity index 100% rename from public/icons/gemini.jpeg rename to frontend/public/icons/gemini.jpeg diff --git a/public/icons/gpt.png b/frontend/public/icons/gpt.png similarity index 100% rename from public/icons/gpt.png rename to frontend/public/icons/gpt.png diff --git a/public/icons/kor.png b/frontend/public/icons/kor.png similarity index 100% rename from public/icons/kor.png rename to frontend/public/icons/kor.png diff --git a/public/icons/profile.png b/frontend/public/icons/profile.png similarity index 100% rename from public/icons/profile.png rename to frontend/public/icons/profile.png diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..b62c28c --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,16 @@ +import { Routes, Route } from "react-router-dom"; +import Dashboard from "./pages/Dashboard"; +import MatchDetail from "./pages/MatchDetail"; +import Leaderboard from "./pages/Leaderboard"; +import NotFound from "./pages/NotFound"; + +export default function App() { + return ( + + } /> + } /> + } /> + } /> + + ); +} diff --git a/components/Ado2Ad.tsx b/frontend/src/components/Ado2Ad.tsx similarity index 100% rename from components/Ado2Ad.tsx rename to frontend/src/components/Ado2Ad.tsx diff --git a/components/Arena.tsx b/frontend/src/components/Arena.tsx similarity index 90% rename from components/Arena.tsx rename to frontend/src/components/Arena.tsx index a4f355a..00245c8 100644 --- a/components/Arena.tsx +++ b/frontend/src/components/Arena.tsx @@ -1,7 +1,4 @@ -"use client"; - import { useEffect, useMemo, useState } from "react"; -import { DEMO_FORCE_OPEN } from "@/lib/mockData"; import { outcomeLabel, pct, kickoffDisplay, winProb } from "@/lib/format"; import { type Lang, dict, teamShort } from "@/lib/i18n"; import type { @@ -12,6 +9,7 @@ import type { AIPrediction, Team, } from "@/lib/types"; +import { ApiError, getDeviceId, submitPrediction } from "@/lib/api"; import Countdown from "./Countdown"; import TeamFlag from "./TeamFlag"; @@ -49,6 +47,8 @@ export default function Arena({ const [notify, setNotify] = useState(true); const [crowd, setCrowd] = useState(initialCrowd); const [copied, setCopied] = useState(false); + const [submitting, setSubmitting] = useState(false); + const [error, setError] = useState(null); // 점수 선택 시 승/무/패 자동 선택 (스코어가 결과의 소스) useEffect(() => { @@ -57,17 +57,14 @@ export default function Arena({ ); }, [scoreA, scoreB]); - // 투표 창: 오픈(D-2) ≤ now < 마감(킥오프 정각). 종료 = 결과 존재. - const now = Date.now(); + // 투표 가능 여부는 백엔드 계산(votingOpen, demo 반영) + phase 라벨. const finished = !!match.result; - const notOpen = !DEMO_FORCE_OPEN && now < new Date(match.opensAt).getTime(); - const locked = now >= new Date(match.lockAt).getTime(); - const disabled = finished || locked || notOpen; + const disabled = finished || !match.votingOpen; const ctaLabel = finished ? t.ctaResult - : notOpen + : match.phase === "scheduled" && !match.votingOpen ? t.ctaOpens(kickoffDisplay(match.opensAt, lang)) - : locked + : match.phase === "locked" ? t.ctaLocked : t.ctaBeat; @@ -82,16 +79,36 @@ export default function Arena({ if (!outcome) return; setStep("form"); }; - const confirmSubmit = () => { - if (!EMAIL_RE.test(email.trim())) return; - setCrowd((c) => ({ - ...c, - total: c.total + 1, - teamAWin: c.teamAWin + (outcome === "TEAM_A_WIN" ? 1 : 0), - draw: c.draw + (outcome === "DRAW" ? 1 : 0), - teamBWin: c.teamBWin + (outcome === "TEAM_B_WIN" ? 1 : 0), - })); - setStep("done"); + + const confirmSubmit = async () => { + if (!EMAIL_RE.test(email.trim()) || !outcome) return; + setSubmitting(true); + setError(null); + try { + const res = await submitPrediction({ + matchId: match.matchId, + deviceId: getDeviceId(), + outcome, + scoreA, + scoreB, + email: email.trim(), + notify, + }); + setCrowd(res.crowd); // 서버 권위 분포로 갱신 + setStep("done"); + } catch (e) { + const msg = + e instanceof ApiError + ? e.status === 423 + ? t.ctaLocked + : e.detail + : lang === "en" + ? "Submission failed. Please try again." + : "제출에 실패했습니다. 다시 시도해주세요."; + setError(msg); + } finally { + setSubmitting(false); + } }; const shareText = useMemo(() => { @@ -134,7 +151,7 @@ export default function Arena({ return ( <> {/* ===== 카운트다운 (D7) — 투표 진행 중일 때만 ===== */} - {!finished && !notOpen && ( + {!finished && match.votingOpen && (
    @@ -286,12 +303,15 @@ export default function Arena({ /> {t.notify} + {error && ( +

    {error}

    + )} )} diff --git a/components/BallIcon.tsx b/frontend/src/components/BallIcon.tsx similarity index 100% rename from components/BallIcon.tsx rename to frontend/src/components/BallIcon.tsx diff --git a/components/Countdown.tsx b/frontend/src/components/Countdown.tsx similarity index 91% rename from components/Countdown.tsx rename to frontend/src/components/Countdown.tsx index 041bb5c..65ca195 100644 --- a/components/Countdown.tsx +++ b/frontend/src/components/Countdown.tsx @@ -1,10 +1,7 @@ -"use client"; - import { useEffect, useState } from "react"; import { type Lang, dict } from "@/lib/i18n"; // "투표 종료까지" 카운트다운 (D7). 마감 = 킥오프 정각(lockAt). -// 서버/클라 hydration mismatch 방지: 시간 계산은 마운트 후 useEffect에서만. export default function Countdown({ to, lang = "ko" }: { to: string; lang?: Lang }) { const t = dict(lang); const label = t.cdUntil; @@ -29,7 +26,6 @@ export default function Countdown({ to, lang = "ko" }: { to: string; lang?: Lang {left === null ? "--:--:--" : fmt(left, lang)} diff --git a/components/Footer.tsx b/frontend/src/components/Footer.tsx similarity index 100% rename from components/Footer.tsx rename to frontend/src/components/Footer.tsx diff --git a/components/Hero.tsx b/frontend/src/components/Hero.tsx similarity index 96% rename from components/Hero.tsx rename to frontend/src/components/Hero.tsx index 3ea1c74..ad36929 100644 --- a/components/Hero.tsx +++ b/frontend/src/components/Hero.tsx @@ -1,4 +1,4 @@ -import Link from "next/link"; +import { Link } from "react-router-dom"; import ShareButton from "./ShareButton"; import LangSwitch from "./LangSwitch"; import { type Lang, dict } from "@/lib/i18n"; @@ -22,7 +22,7 @@ export default function Hero({ {back && (
    {t.back} diff --git a/components/LangSwitch.tsx b/frontend/src/components/LangSwitch.tsx similarity index 78% rename from components/LangSwitch.tsx rename to frontend/src/components/LangSwitch.tsx index 23f3e2c..bf307af 100644 --- a/components/LangSwitch.tsx +++ b/frontend/src/components/LangSwitch.tsx @@ -1,12 +1,9 @@ -"use client"; - -import Link from "next/link"; -import { usePathname } from "next/navigation"; +import { Link, useLocation } from "react-router-dom"; import type { Lang } from "@/lib/i18n"; // KO / EN 토글. 현재 경로 유지 + ?lang 토글. export default function LangSwitch({ lang }: { lang: Lang }) { - const pathname = usePathname() || "/"; + const { pathname } = useLocation(); const href = (l: Lang) => (l === "en" ? `${pathname}?lang=en` : pathname); const langs: Lang[] = ["ko", "en"]; return ( @@ -14,8 +11,7 @@ export default function LangSwitch({ lang }: { lang: Lang }) { {langs.map((l) => ( = { finished: "border-white/15 text-white/55", }; -export default function ScheduleBoard({ lang = "ko" }: { lang?: Lang }) { +// 날짜별로 묶고 킥오프 오름차순 정렬 (백엔드가 이미 정렬 반환) +function groupByDate(matches: Match[]): { date: string; matches: Match[] }[] { + const groups: { date: string; matches: Match[] }[] = []; + for (const m of matches) { + const key = dateKey(m.kickoffKst); + const last = groups[groups.length - 1]; + if (last && last.date === key) last.matches.push(m); + else groups.push({ date: key, matches: [m] }); + } + return groups; +} + +export default function ScheduleBoard({ + matches, + lang = "ko", +}: { + matches: Match[]; + lang?: Lang; +}) { const t = dict(lang); - const groups = matchesByDate(); + const groups = groupByDate(matches); return (
    @@ -47,9 +64,9 @@ export default function ScheduleBoard({ lang = "ko" }: { lang?: Lang }) { function MatchCard({ match, lang }: { match: Match; lang: Lang }) { const t = dict(lang); - const phase = matchPhase(match); - const preds = getPredictions(match, lang); - const crowd = getCrowd(match); + const phase = match.phase; + const preds = match.predictions; + const crowdTotal = match.crowd?.total ?? 0; // AI 픽 갈림 요약 const tally = { a: 0, d: 0, b: 0 }; @@ -67,7 +84,7 @@ function MatchCard({ match, lang }: { match: Match; lang: Lang }) { return (
    @@ -97,7 +114,7 @@ function MatchCard({ match, lang }: { match: Match; lang: Lang }) { {t.aiPicks} {split.join(" · ")} - {t.joined(crowd.total.toLocaleString())} + {t.joined(crowdTotal.toLocaleString())} →
    diff --git a/components/ShareButton.tsx b/frontend/src/components/ShareButton.tsx similarity index 88% rename from components/ShareButton.tsx rename to frontend/src/components/ShareButton.tsx index 88c516b..d38aded 100644 --- a/components/ShareButton.tsx +++ b/frontend/src/components/ShareButton.tsx @@ -1,8 +1,6 @@ -"use client"; - import { useState } from "react"; -// 투표(경기) 공유 — 모바일 네이티브 공유(invoke), 미지원 시 클립보드 복사 폴백 (D8) +// 투표(경기) 공유 — 모바일 네이티브 공유, 미지원 시 클립보드 복사 폴백 (D8) export default function ShareButton({ url, title, diff --git a/components/TeamFlag.tsx b/frontend/src/components/TeamFlag.tsx similarity index 100% rename from components/TeamFlag.tsx rename to frontend/src/components/TeamFlag.tsx diff --git a/app/globals.css b/frontend/src/globals.css similarity index 100% rename from app/globals.css rename to frontend/src/globals.css diff --git a/frontend/src/lib/api.ts b/frontend/src/lib/api.ts new file mode 100644 index 0000000..f4eac22 --- /dev/null +++ b/frontend/src/lib/api.ts @@ -0,0 +1,86 @@ +// 백엔드 FastAPI 클라이언트. 동일 출처 /api (dev=vite proxy, prod=nginx proxy). +import type { CrowdStats, Leaderboard, Match, ModelName } from "./types"; +import type { Lang } from "./i18n"; + +const BASE = import.meta.env.VITE_API_BASE || "/api"; + +async function http(path: string, init?: RequestInit): Promise { + const res = await fetch(`${BASE}${path}`, { + headers: { "Content-Type": "application/json", ...(init?.headers || {}) }, + ...init, + }); + if (!res.ok) { + let detail = res.statusText; + try { + const body = await res.json(); + detail = body.detail || detail; + } catch { + /* noop */ + } + throw new ApiError(res.status, detail); + } + return res.json() as Promise; +} + +export class ApiError extends Error { + constructor( + public status: number, + public detail: string, + ) { + super(detail); + } +} + +export function listMatches(lang: Lang): Promise { + return http(`/matches?lang=${lang}`); +} + +export function getMatch(matchId: string, lang: Lang): Promise { + return http(`/matches/${matchId}?lang=${lang}`); +} + +export interface SubmitResult { + ok: boolean; + predictionId: string; + matchedModels: ModelName[]; + exactMatch: boolean; + crowd: CrowdStats; +} + +export function submitPrediction(body: { + matchId: string; + deviceId: string; + outcome: string; + scoreA: number; + scoreB: number; + email?: string; + notify: boolean; +}): Promise { + return http(`/predictions`, { + method: "POST", + body: JSON.stringify(body), + }); +} + +export function getLeaderboard(): Promise { + return http(`/leaderboard`); +} + +// ── 비로그인 식별: deviceId (localStorage 영속) ── +const DEVICE_KEY = "tp_device_id"; +export function getDeviceId(): string { + let id = localStorage.getItem(DEVICE_KEY); + if (!id) { + id = + typeof crypto !== "undefined" && crypto.randomUUID + ? crypto.randomUUID() + : `dev-${Date.now()}-${Math.random().toString(36).slice(2)}`; + localStorage.setItem(DEVICE_KEY, id); + } + return id; +} + +// 경기별 공유 딥링크 +export function matchUrl(matchId: string): string { + return `${window.location.origin}/match/${matchId}`; +} diff --git a/lib/format.ts b/frontend/src/lib/format.ts similarity index 100% rename from lib/format.ts rename to frontend/src/lib/format.ts diff --git a/lib/i18n.ts b/frontend/src/lib/i18n.ts similarity index 100% rename from lib/i18n.ts rename to frontend/src/lib/i18n.ts diff --git a/frontend/src/lib/types.ts b/frontend/src/lib/types.ts new file mode 100644 index 0000000..a40eb3b --- /dev/null +++ b/frontend/src/lib/types.ts @@ -0,0 +1,75 @@ +// TriplePick 도메인 타입 — 백엔드 API 응답(schemas.py)과 정합. + +export type Outcome = "TEAM_A_WIN" | "DRAW" | "TEAM_B_WIN"; +export type ModelName = "GPT" | "Claude" | "Gemini"; +export type MatchPhase = "scheduled" | "open" | "locked" | "finished"; + +export interface Team { + name: string; + shortName: string; + code: string; + flag: string; +} + +export interface MatchResult { + scoreA: number; + scoreB: number; + outcome: Outcome; +} + +export interface AIPrediction { + matchId: string; + model: ModelName; + outcome: Outcome; + scoreA: number; + scoreB: number; + confidencePct: number; + reasonShort: string; + generatedAt: string; +} + +export interface CrowdStats { + matchId: string; + total: number; + teamAWin: number; + draw: number; + teamBWin: number; +} + +export interface Match { + matchId: string; + roundLabel: string; + group: string; + teamA: Team; + teamB: Team; + kickoffKst: string; + venue: string; + opensAt: string; + lockAt: string; + status: string; + phase: MatchPhase; + votingOpen: boolean; + hookText: string; + result?: MatchResult | null; + predictions: AIPrediction[]; + crowd?: CrowdStats | null; +} + +export interface UserPick { + outcome: Outcome; + scoreA: number; + scoreB: number; +} + +export interface Standing { + rank: number; + emailMasked: string; + totalPoints: number; + exactCount: number; + matchesPlayed: number; +} + +export interface Leaderboard { + standings: Standing[]; + scoredMatches: number; +} diff --git a/frontend/src/lib/useLang.ts b/frontend/src/lib/useLang.ts new file mode 100644 index 0000000..b405e73 --- /dev/null +++ b/frontend/src/lib/useLang.ts @@ -0,0 +1,13 @@ +// ?lang=en 쿼리에서 언어 파싱 (Next searchParams 대체). +import { useSearchParams } from "react-router-dom"; +import { parseLang, type Lang } from "./i18n"; + +export function useLang(): Lang { + const [params] = useSearchParams(); + return parseLang(params.get("lang") ?? undefined); +} + +// 현재 lang 을 유지하며 경로에 쿼리 부착 +export function withLang(path: string, lang: Lang): string { + return lang === "en" ? `${path}${path.includes("?") ? "&" : "?"}lang=en` : path; +} diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx new file mode 100644 index 0000000..375e2c0 --- /dev/null +++ b/frontend/src/main.tsx @@ -0,0 +1,13 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import { BrowserRouter } from "react-router-dom"; +import App from "./App"; +import "./globals.css"; + +createRoot(document.getElementById("root")!).render( + + + + + , +); diff --git a/frontend/src/pages/Dashboard.tsx b/frontend/src/pages/Dashboard.tsx new file mode 100644 index 0000000..5823022 --- /dev/null +++ b/frontend/src/pages/Dashboard.tsx @@ -0,0 +1,57 @@ +import { useEffect, useState } from "react"; +import Hero from "@/components/Hero"; +import ScheduleBoard from "@/components/ScheduleBoard"; +import Ado2Ad from "@/components/Ado2Ad"; +import Footer from "@/components/Footer"; +import { dict } from "@/lib/i18n"; +import { useLang } from "@/lib/useLang"; +import { listMatches } from "@/lib/api"; +import type { Match } from "@/lib/types"; + +// L1. 전체 일정 대시보드 (랜딩 진입) +export default function Dashboard() { + const lang = useLang(); + const t = dict(lang); + const [matches, setMatches] = useState(null); + const [error, setError] = useState(false); + + useEffect(() => { + let alive = true; + setMatches(null); + setError(false); + listMatches(lang) + .then((m) => alive && setMatches(m)) + .catch(() => alive && setError(true)); + return () => { + alive = false; + }; + }, [lang]); + + return ( +
    + + + {/* 기간 안내 + CTA 영역 */} +
    +

    + {t.introLead} +

    +

    + {t.prizeLine1} +
    + {t.prizeLine2} +

    +
    + + {error && ( +

    + {lang === "en" ? "Failed to load matches." : "경기 정보를 불러오지 못했습니다."} +

    + )} + {matches && } + + +
    +
    + ); +} diff --git a/frontend/src/pages/Leaderboard.tsx b/frontend/src/pages/Leaderboard.tsx new file mode 100644 index 0000000..235c384 --- /dev/null +++ b/frontend/src/pages/Leaderboard.tsx @@ -0,0 +1,74 @@ +import { useEffect, useState } from "react"; +import Hero from "@/components/Hero"; +import Footer from "@/components/Footer"; +import { useLang } from "@/lib/useLang"; +import { getLeaderboard } from "@/lib/api"; +import type { Leaderboard as LB } from "@/lib/types"; + +// L3. 리더보드 — 누적 포인트 1위. 데이터 없으면 안내 stub. +export default function Leaderboard() { + const lang = useLang(); + const [data, setData] = useState(null); + + useEffect(() => { + let alive = true; + getLeaderboard() + .then((d) => alive && setData(d)) + .catch(() => alive && setData({ standings: [], scoredMatches: 0 })); + return () => { + alive = false; + }; + }, []); + + const empty = !data || data.standings.length === 0; + + return ( +
    + +
    +
    LEADERBOARD
    + + {empty ? ( +
    +

    + {lang === "en" ? "Rankings open soon" : "랭킹은 곧 공개됩니다"} +

    +

    + {lang === "en" + ? "Points accumulate each match — the overall #1 wins ₩1,000,000." + : "매 경기 누적 점수로 순위를 매기고, 끝까지 가장 잘 맞힌 한 분께 최종 100만원을 드립니다."} +

    +
    + ) : ( +
    + {data!.standings.map((s) => ( +
    +
    + + {s.rank} + + {s.emailMasked} +
    +
    + {s.totalPoints} + + {lang === "en" ? "pts" : "점"} + + + {lang === "en" + ? `${s.exactCount} exact · ${s.matchesPlayed} played` + : `정확 ${s.exactCount} · ${s.matchesPlayed}경기`} + +
    +
    + ))} +
    + )} +
    +
    +
    + ); +} diff --git a/frontend/src/pages/MatchDetail.tsx b/frontend/src/pages/MatchDetail.tsx new file mode 100644 index 0000000..4e0f4e6 --- /dev/null +++ b/frontend/src/pages/MatchDetail.tsx @@ -0,0 +1,103 @@ +import { useEffect, useState } from "react"; +import { useParams } from "react-router-dom"; +import Hero from "@/components/Hero"; +import MatchupHUD from "@/components/MatchupHUD"; +import Arena from "@/components/Arena"; +import Footer from "@/components/Footer"; +import { dict, teamShort } from "@/lib/i18n"; +import { useLang } from "@/lib/useLang"; +import { getMatch, matchUrl, ApiError } from "@/lib/api"; +import type { Match } from "@/lib/types"; + +// L2. 경기 상세(대결) 페이지 +export default function MatchDetail() { + const { matchId = "" } = useParams(); + const lang = useLang(); + const t = dict(lang); + const [match, setMatch] = useState(null); + const [notFound, setNotFound] = useState(false); + + useEffect(() => { + let alive = true; + setMatch(null); + setNotFound(false); + getMatch(matchId, lang) + .then((m) => alive && setMatch(m)) + .catch((e) => { + if (!alive) return; + if (e instanceof ApiError && e.status === 404) setNotFound(true); + else setNotFound(true); + }); + return () => { + alive = false; + }; + }, [matchId, lang]); + + if (notFound) { + return ( +
    + +

    + {lang === "en" ? "Match not found." : "경기를 찾을 수 없습니다."} +

    +
    +
    + ); + } + + if (!match) { + return ( +
    + +

    …

    +
    + ); + } + + const aShort = teamShort(match.teamA, lang); + const bShort = teamShort(match.teamB, lang); + const hook = lang === "en" ? t.hook(aShort, bShort) : match.hookText; + const url = matchUrl(match.matchId); + + return ( +
    + + + {/* 경기별 후킹 카피 (한 줄) */} +

    + ⫽ + {hook} + ⫽ +

    + + + +
    +
    + ); +} diff --git a/frontend/src/pages/NotFound.tsx b/frontend/src/pages/NotFound.tsx new file mode 100644 index 0000000..a89bf0e --- /dev/null +++ b/frontend/src/pages/NotFound.tsx @@ -0,0 +1,17 @@ +import Hero from "@/components/Hero"; +import Footer from "@/components/Footer"; +import { useLang } from "@/lib/useLang"; + +export default function NotFound() { + const lang = useLang(); + return ( +
    + +

    404

    +

    + {lang === "en" ? "Page not found" : "페이지를 찾을 수 없습니다"} +

    +
    +
    + ); +} diff --git a/frontend/src/vite-env.d.ts b/frontend/src/vite-env.d.ts new file mode 100644 index 0000000..c73bc48 --- /dev/null +++ b/frontend/src/vite-env.d.ts @@ -0,0 +1,9 @@ +/// + +interface ImportMetaEnv { + readonly VITE_API_BASE?: string; + readonly VITE_API_TARGET?: string; +} +interface ImportMeta { + readonly env: ImportMetaEnv; +} diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..9f85541 --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "baseUrl": ".", + "paths": { "@/*": ["./src/*"] } + }, + "include": ["src"] +} diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts new file mode 100644 index 0000000..3f37f61 --- /dev/null +++ b/frontend/vite.config.ts @@ -0,0 +1,22 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; +import tailwindcss from "@tailwindcss/vite"; +import path from "node:path"; + +// 개발 시 /api 요청을 백엔드(8000)로 프록시 → 브라우저는 동일 출처로 호출. +// 운영(docker)에서는 nginx 가 동일하게 /api 를 프록시한다. +export default defineConfig({ + plugins: [react(), tailwindcss()], + resolve: { + alias: { "@": path.resolve(__dirname, "./src") }, + }, + server: { + port: 5173, + proxy: { + "/api": { + target: process.env.VITE_API_TARGET || "http://localhost:8000", + changeOrigin: true, + }, + }, + }, +}); diff --git a/lib/firebase.ts b/lib/firebase.ts deleted file mode 100644 index 2f1847b..0000000 --- a/lib/firebase.ts +++ /dev/null @@ -1,24 +0,0 @@ -// Firebase 클라이언트 초기화 (env에서 config 로드). 실제 키는 .env.local 에. -// 사용처: lib/data.ts(Firestore 읽기), Arena.tsx 제출(콜러블 함수 호출). -import { initializeApp, getApps, type FirebaseApp } from "firebase/app"; -import { getFirestore, type Firestore } from "firebase/firestore"; -import { getFunctions, type Functions } from "firebase/functions"; - -const config = { - apiKey: process.env.NEXT_PUBLIC_FIREBASE_API_KEY, - authDomain: process.env.NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN, - projectId: process.env.NEXT_PUBLIC_FIREBASE_PROJECT_ID, - storageBucket: process.env.NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET, - messagingSenderId: process.env.NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID, - appId: process.env.NEXT_PUBLIC_FIREBASE_APP_ID, -}; - -let app: FirebaseApp | null = null; -export function getFirebase(): { db: Firestore; fns: Functions } { - if (!config.projectId) { - throw new Error("Firebase env 미설정 — .env.local 에 NEXT_PUBLIC_FIREBASE_* 채우기"); - } - app = getApps()[0] ?? initializeApp(config); - const region = process.env.NEXT_PUBLIC_FUNCTIONS_REGION || "asia-northeast3"; - return { db: getFirestore(app), fns: getFunctions(app, region) }; -} diff --git a/lib/mockData.ts b/lib/mockData.ts deleted file mode 100644 index 2650c06..0000000 --- a/lib/mockData.ts +++ /dev/null @@ -1,194 +0,0 @@ -// 1차 mock 데이터 — Firebase 연결 전까지 사용. -// ⚠️ AI 예측은 플레이스홀더. 발행 전 GPT/Claude/Gemini 실제 출력(JSON)으로 교체할 것. -// 경기 일정은 lib/schedule.ts(Group A 정식 일정, KST)에서 자동 반영. -// -// 멀티 경기(06.09 회의): 모든 경기에 3 AI 예측 + Crowd 가 있어야 대시보드/상세가 깨지지 않는다. -// 체코전(FEATURED)은 큐레이션 값, 그 외 경기는 matchId 시드 결정론적 생성 (Math.random 미사용). -import type { AIPrediction, CrowdStats, Match, ModelName, Outcome } from "./types"; -import { FEATURED, GROUP_A } from "./schedule"; -import { type Lang, teamShort } from "./i18n"; - -// 체코전 — 실제 3모델 API 출력 (2026-06-10 생성: gpt-5.5 / claude-opus-4-8 / gemini-3.5-flash) -const FEATURED_REASONS: Record> = { - ko: { - GPT: "한국 역습과 체코 제공권이 팽팽", - Claude: "손흥민·이강인 측면 창의성이 체코 블록을 연다", - Gemini: "이강인·손흥민 공격력, 체코 수비에 근소 우세", - }, - en: { - GPT: "Korea's counters vs Czech aerial — dead even", - Claude: "Son & Lee's wing play cracks the Czech block", - Gemini: "Korea's attack edges a stubborn Czech defense", - }, -}; - -export const MATCH = FEATURED; // 대표 경기 = 한국 vs 체코 (schedule SSOT) - -// 데모용: 실제 운영은 투표 오픈 = 킥오프 D-2(opensAt). 팀 데모에서 픽이 막히지 않게 -// true면 오픈 게이트를 무시하고 즉시 참여 가능. 운영 배포 시 false 로. -export const DEMO_FORCE_OPEN = true; - -// 체코전 — 실제 3모델 API 출력 (2026-06-10). reasonShort는 getPredictions에서 FEATURED_REASONS로 언어별 대체. -const FEATURED_PREDICTIONS: AIPrediction[] = [ - { - matchId: MATCH.matchId, - model: "GPT", // gpt-5.5: 무승부 1-1 - outcome: "DRAW", - scoreA: 1, - scoreB: 1, - confidencePct: 54, - reasonShort: FEATURED_REASONS.ko.GPT, - generatedAt: "2026-06-10", - }, - { - matchId: MATCH.matchId, - model: "Claude", // claude-opus-4-8: 한국 승 2-1 - outcome: "TEAM_A_WIN", - scoreA: 2, - scoreB: 1, - confidencePct: 57, - reasonShort: FEATURED_REASONS.ko.Claude, - generatedAt: "2026-06-10", - }, - { - matchId: MATCH.matchId, - model: "Gemini", // gemini-3.5-flash: 한국 승 2-1 - outcome: "TEAM_A_WIN", - scoreA: 2, - scoreB: 1, - confidencePct: 55, - reasonShort: FEATURED_REASONS.ko.Gemini, - generatedAt: "2026-06-10", - }, -]; - -// ── 결정론적 생성 (matchId 시드) ────────────────────────────── -function hash(s: string): number { - let h = 2166136261; - for (let i = 0; i < s.length; i++) { - h ^= s.charCodeAt(i); - h = Math.imul(h, 16777619); - } - return h >>> 0; -} - -const MODELS: ModelName[] = ["GPT", "Claude", "Gemini"]; - -// AI 셋이 갈리도록 만든 결과 조합 (홈/원정 균형) -const OUTCOME_SETS: Outcome[][] = [ - ["TEAM_A_WIN", "DRAW", "TEAM_B_WIN"], - ["TEAM_A_WIN", "TEAM_A_WIN", "DRAW"], - ["TEAM_B_WIN", "DRAW", "TEAM_A_WIN"], - ["TEAM_A_WIN", "DRAW", "TEAM_A_WIN"], - ["DRAW", "TEAM_B_WIN", "TEAM_A_WIN"], -]; - -const SCORE_BY_OUTCOME: Record = { - TEAM_A_WIN: [[2, 1], [1, 0], [2, 0], [3, 1]], - DRAW: [[1, 1], [0, 0], [2, 2]], - TEAM_B_WIN: [[0, 1], [1, 2], [0, 2], [1, 3]], -}; - -function reasonFor(match: Match, outcome: Outcome, seed: number, lang: Lang): string { - const win = - outcome === "TEAM_A_WIN" - ? teamShort(match.teamA, lang) - : outcome === "TEAM_B_WIN" - ? teamShort(match.teamB, lang) - : null; - const pools = - lang === "en" - ? { - win: win - ? [ - `${win}'s wing speed edges it`, - `${win} just needs one set piece`, - `${win} starts on the front foot`, - `${win}'s finishing decides it`, - ] - : [], - draw: [ - "A tight midfield battle to the end", - "Both sides carry a real threat", - "The first goal decides everything", - ], - } - : { - win: win - ? [ - `${win} 측면 스피드가 한 끗 위`, - `${win} 세트피스 한 방이면 끝`, - `${win} 초반 기세에서 앞선다`, - `${win} 결정력이 승부를 가른다`, - ] - : [], - draw: [ - "중원 힘싸움이 끝까지 팽팽", - "양 팀 다 한 방 있는 진검승부", - "first goal이 모든 걸 가른다", - ], - }; - const pool = win ? pools.win : pools.draw; - return pool[seed % pool.length]; -} - -function generatePredictions(match: Match, lang: Lang): AIPrediction[] { - const base = hash(match.matchId); - const outcomes = OUTCOME_SETS[base % OUTCOME_SETS.length]; - return MODELS.map((model, i) => { - const seed = hash(match.matchId + model); - const outcome = outcomes[i]; - const scores = SCORE_BY_OUTCOME[outcome]; - const [scoreA, scoreB] = scores[seed % scores.length]; - const confidencePct = - outcome === "DRAW" ? 33 + (seed % 13) : 46 + (seed % 25); // draw 33~45, win 46~70 - return { - matchId: match.matchId, - model, - outcome, - scoreA, - scoreB, - confidencePct, - reasonShort: reasonFor(match, outcome, seed, lang), - generatedAt: "2026-06-08", - }; - }); -} - -export function getPredictions(match: Match, lang: Lang = "ko"): AIPrediction[] { - if (match.matchId === FEATURED.matchId) { - return FEATURED_PREDICTIONS.map((p) => ({ - ...p, - reasonShort: FEATURED_REASONS[lang][p.model], - })); - } - return generatePredictions(match, lang); -} - -export function getCrowd(match: Match): CrowdStats { - if (match.matchId === FEATURED.matchId) { - return { matchId: MATCH.matchId, total: 1284, teamAWin: 616, draw: 347, teamBWin: 321 }; - } - const base = hash(match.matchId + "crowd"); - const total = 240 + (base % 1400); - const a = 28 + (base % 40); // 28~67% - const d = 18 + ((base >> 3) % 22); // 18~39% - const teamAWin = Math.round((total * a) / 100); - const draw = Math.round((total * Math.min(d, 100 - a - 5)) / 100); - const teamBWin = total - teamAWin - draw; - return { matchId: match.matchId, total, teamAWin, draw, teamBWin }; -} - -// 경기별 공유 딥링크 (D8) -const ORIGIN = "https://triplepick-web.vercel.app"; -export function matchUrl(matchId: string): string { - return `${ORIGIN}/match/${matchId}`; -} - -// ── 하위 호환 (체코전 단일 참조용) ── -export const AI_PREDICTIONS: AIPrediction[] = FEATURED_PREDICTIONS; -export const CROWD: CrowdStats = getCrowd(FEATURED); -export const LANDING_URL = matchUrl(FEATURED.matchId); - -// schedule re-export (페이지에서 한 곳에서 import) -export { GROUP_A }; diff --git a/lib/schedule.ts b/lib/schedule.ts deleted file mode 100644 index 9bdbc67..0000000 --- a/lib/schedule.ts +++ /dev/null @@ -1,135 +0,0 @@ -// 2026 FIFA World Cup Group A 정식 일정 (출처: Wikipedia/FIFA, KST 변환 검증 2026-06-08) -// 모든 kickoffKst는 한국시간(+09:00). lockAt = 킥오프 -10분. -import type { Match, Team } from "./types"; - -const KOR: Team = { name: "Korea Republic", shortName: "한국", code: "KOR", flag: "🇰🇷" }; -const CZE: Team = { name: "Czechia", shortName: "체코", code: "CZE", flag: "🇨🇿" }; -const MEX: Team = { name: "Mexico", shortName: "멕시코", code: "MEX", flag: "🇲🇽" }; -const RSA: Team = { name: "South Africa", shortName: "남아공", code: "RSA", flag: "🇿🇦" }; - -// 투표 오픈 = 킥오프 -48시간 (D-2). 마감 = 킥오프 정각(경기 시작 전까지). -function opens(iso: string): string { - return new Date(new Date(iso).getTime() - 48 * 3600000).toISOString(); -} - -// Group A 전체 6경기 — 경기별 정확 일시 자동 반영용 SSOT -export const GROUP_A: Match[] = [ - { - matchId: "A_MEX_RSA_20260612", - roundLabel: "Match 01 · 개막전", - group: "A", - teamA: MEX, - teamB: RSA, - kickoffKst: "2026-06-12T04:00:00+09:00", - venue: "Estadio Azteca · Mexico City", - opensAt: opens("2026-06-12T04:00:00+09:00"), - lockAt: "2026-06-12T04:00:00+09:00", - status: "upcoming", - hookText: "글로벌 축구 개막전, AI는 개최국을 믿을까", - result: null, - }, - { - matchId: "A_KOR_CZE_20260612", - roundLabel: "Match 01", - group: "A", - teamA: KOR, - teamB: CZE, - kickoffKst: "2026-06-12T11:00:00+09:00", - venue: "Estadio Guadalajara (Akron)", - opensAt: opens("2026-06-12T11:00:00+09:00"), - lockAt: "2026-06-12T11:00:00+09:00", - status: "upcoming", - hookText: "한국 첫 경기, AI의 선택은 갈렸다", - result: null, - }, - { - matchId: "A_CZE_RSA_20260619", - roundLabel: "Match 02", - group: "A", - teamA: CZE, - teamB: RSA, - kickoffKst: "2026-06-19T01:00:00+09:00", - venue: "USA (TBD)", - opensAt: opens("2026-06-19T01:00:00+09:00"), - lockAt: "2026-06-19T01:00:00+09:00", - status: "upcoming", - hookText: "체코 vs 남아공, AI의 예측은", - result: null, - }, - { - matchId: "A_MEX_KOR_20260619", - roundLabel: "Match 02", - group: "A", - teamA: MEX, - teamB: KOR, - kickoffKst: "2026-06-19T10:00:00+09:00", - venue: "Estadio Guadalajara (Akron)", - opensAt: opens("2026-06-19T10:00:00+09:00"), - lockAt: "2026-06-19T10:00:00+09:00", - status: "upcoming", - hookText: "개최국 멕시코 vs 한국, AI는 누구 편", - result: null, - }, - { - matchId: "A_CZE_MEX_20260625", - roundLabel: "Match 03", - group: "A", - teamA: CZE, - teamB: MEX, - kickoffKst: "2026-06-25T10:00:00+09:00", - venue: "Estadio Azteca · Mexico City", - opensAt: opens("2026-06-25T10:00:00+09:00"), - lockAt: "2026-06-25T10:00:00+09:00", - status: "upcoming", - hookText: "체코 vs 멕시코, 운명의 최종전", - result: null, - }, - { - matchId: "A_RSA_KOR_20260625", - roundLabel: "Match 03", - group: "A", - teamA: RSA, - teamB: KOR, - kickoffKst: "2026-06-25T10:00:00+09:00", - venue: "Estadio BBVA · Monterrey", - opensAt: opens("2026-06-25T10:00:00+09:00"), - lockAt: "2026-06-25T10:00:00+09:00", - status: "upcoming", - hookText: "한국 16강의 갈림길, AI의 마지막 예측", - result: null, - }, -]; - -// 현재 노출할 대표 경기 (체코전) -export const FEATURED_MATCH_ID = "A_KOR_CZE_20260612"; - -export function getMatch(id: string): Match { - return GROUP_A.find((m) => m.matchId === id) ?? GROUP_A[1]; -} - -export const FEATURED = getMatch(FEATURED_MATCH_ID); - -// 투표창 단계(D7): 오픈 전 / 투표중 / 마감(킥오프) / 종료(결과). DEMO_FORCE_OPEN는 UI 측에서 별도 처리. -export type MatchPhase = "scheduled" | "open" | "locked" | "finished"; - -export function matchPhase(m: Match, now: number = Date.now()): MatchPhase { - if (m.result) return "finished"; - if (now >= new Date(m.lockAt).getTime()) return "locked"; - if (now < new Date(m.opensAt).getTime()) return "scheduled"; - return "open"; -} - -// 대시보드: 날짜별로 묶고 킥오프 오름차순 정렬 -export function matchesByDate(): { date: string; matches: Match[] }[] { - const sorted = [...GROUP_A].sort( - (a, b) => new Date(a.kickoffKst).getTime() - new Date(b.kickoffKst).getTime(), - ); - const groups: { date: string; matches: Match[] }[] = []; - for (const m of sorted) { - const key = m.kickoffKst.slice(0, 10); - const last = groups[groups.length - 1]; - if (last && last.date === key) last.matches.push(m); - else groups.push({ date: key, matches: [m] }); - } - return groups; -} diff --git a/lib/types.ts b/lib/types.ts deleted file mode 100644 index d8fb2e3..0000000 --- a/lib/types.ts +++ /dev/null @@ -1,60 +0,0 @@ -// TriplePick 도메인 타입 — 기능정의서 데이터모델과 정합 -// Firebase 연결 시 이 타입을 Firestore 변환기(converter)에 그대로 사용한다. - -export type Outcome = "TEAM_A_WIN" | "DRAW" | "TEAM_B_WIN"; -export type ModelName = "GPT" | "Claude" | "Gemini"; -// scheduled: 오픈 전 / open: 투표 가능 / locked: 킥오프 후 마감 / live / finished -export type MatchStatus = - | "scheduled" - | "open" - | "locked" - | "live" - | "finished" - | "upcoming"; - -export interface Team { - name: string; // 표시명 (예: Korea Republic) - shortName: string; // 짧은 표시 (예: 한국) - code: string; // KOR / CZE - flag: string; // 이모지 국기 (1차), 추후 에셋 교체 가능 -} - -export interface Match { - matchId: string; - roundLabel: string; // "Match 01" - group: string; // "A" - teamA: Team; - teamB: Team; - kickoffKst: string; // ISO with +09:00 - venue: string; - opensAt: string; // ISO — 투표 오픈 (킥오프 -48h, D-2) - lockAt: string; // ISO — 투표 마감 (킥오프 정각 = 경기 시작 전까지) - status: MatchStatus; - hookText: string; // "한국 첫 경기, AI의 선택은 갈렸다" - result?: { scoreA: number; scoreB: number; outcome: Outcome } | null; -} - -export interface AIPrediction { - matchId: string; - model: ModelName; - outcome: Outcome; - scoreA: number; - scoreB: number; - confidencePct: number; // 0-100 - reasonShort: string; - generatedAt: string; // 데이터 기준일 -} - -export interface CrowdStats { - matchId: string; - total: number; - teamAWin: number; - draw: number; - teamBWin: number; -} - -export interface UserPick { - outcome: Outcome; - scoreA: number; - scoreB: number; -} diff --git a/next.config.ts b/next.config.ts deleted file mode 100644 index e9ffa30..0000000 --- a/next.config.ts +++ /dev/null @@ -1,7 +0,0 @@ -import type { NextConfig } from "next"; - -const nextConfig: NextConfig = { - /* config options here */ -}; - -export default nextConfig; diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index deb00cc..0000000 --- a/package-lock.json +++ /dev/null @@ -1,7643 +0,0 @@ -{ - "name": "triplepick-web", - "version": "0.1.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "triplepick-web", - "version": "0.1.0", - "dependencies": { - "firebase": "^12.14.0", - 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"version": "0.1.0", - "private": true, - "scripts": { - "dev": "next dev", - "build": "next build", - "start": "next start", - "lint": "eslint" - }, - "dependencies": { - "firebase": "^12.14.0", - "next": "16.2.7", - "react": "19.2.4", - "react-dom": "19.2.4" - }, - "devDependencies": { - "@tailwindcss/postcss": "^4", - "@types/node": "^20", - "@types/react": "^19", - "@types/react-dom": "^19", - "eslint": "^9", - "eslint-config-next": "16.2.7", - "tailwindcss": "^4", - "typescript": "^5" - } -} diff --git a/postcss.config.mjs b/postcss.config.mjs deleted file mode 100644 index 61e3684..0000000 --- a/postcss.config.mjs +++ /dev/null @@ -1,7 +0,0 @@ -const config = { - plugins: { - "@tailwindcss/postcss": {}, - }, -}; - -export default config; diff --git a/public/file.svg b/public/file.svg deleted file mode 100644 index 004145c..0000000 --- a/public/file.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/public/globe.svg b/public/globe.svg deleted file mode 100644 index 567f17b..0000000 --- a/public/globe.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/public/next.svg b/public/next.svg deleted file mode 100644 index 5174b28..0000000 --- a/public/next.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/public/vercel.svg b/public/vercel.svg deleted file mode 100644 index 7705396..0000000 --- a/public/vercel.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/public/window.svg b/public/window.svg deleted file mode 100644 index b2b2a44..0000000 --- a/public/window.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/scripts/seed.mjs b/scripts/seed.mjs deleted file mode 100644 index b7b5cac..0000000 --- a/scripts/seed.mjs +++ /dev/null @@ -1,60 +0,0 @@ -// Firestore 시드 스크립트 — matches / ai_predictions / crowd_stats 초기화 -// 실행: GOOGLE_APPLICATION_CREDENTIALS=./serviceAccount.json node scripts/seed.mjs -// ⚠️ AI 예측은 플레이스홀더. 발행 전 실제 GPT/Claude/Gemini 출력으로 교체. -// (경기 데이터는 lib/schedule.ts 와 동일하게 유지할 것 — 여기서는 JS로 인라인) -import { initializeApp, cert, applicationDefault } from "firebase-admin/app"; -import { getFirestore, FieldValue } from "firebase-admin/firestore"; - -initializeApp({ credential: applicationDefault() }); -const db = getFirestore(); - -// 투표 오픈 = 킥오프 -48h(D-2), 마감 = 킥오프 정각(경기 시작 전까지) -const opens = (iso) => new Date(new Date(iso).getTime() - 48 * 3600000).toISOString(); -const T = { - KOR: { name: "Korea Republic", shortName: "한국", code: "KOR", flag: "🇰🇷" }, - CZE: { name: "Czechia", shortName: "체코", code: "CZE", flag: "🇨🇿" }, - MEX: { name: "Mexico", shortName: "멕시코", code: "MEX", flag: "🇲🇽" }, - RSA: { name: "South Africa", shortName: "남아공", code: "RSA", flag: "🇿🇦" }, -}; - -const MATCHES = [ - ["A_MEX_RSA_20260612", "Match 01 · 개막전", T.MEX, T.RSA, "2026-06-12T04:00:00+09:00", "Estadio Azteca · Mexico City", "월드컵 개막전, AI는 개최국을 믿을까"], - ["A_KOR_CZE_20260612", "Match 01", T.KOR, T.CZE, "2026-06-12T11:00:00+09:00", "Estadio Guadalajara (Akron)", "한국 첫 경기, AI의 선택은 갈렸다"], - ["A_CZE_RSA_20260619", "Match 02", T.CZE, T.RSA, "2026-06-19T01:00:00+09:00", "USA (TBD)", "체코 vs 남아공, AI의 예측은"], - ["A_MEX_KOR_20260619", "Match 02", T.MEX, T.KOR, "2026-06-19T10:00:00+09:00", "Estadio Guadalajara (Akron)", "개최국 멕시코 vs 한국, AI는 누구 편"], - ["A_CZE_MEX_20260625", "Match 03", T.CZE, T.MEX, "2026-06-25T10:00:00+09:00", "Estadio Azteca · Mexico City", "체코 vs 멕시코, 운명의 최종전"], - ["A_RSA_KOR_20260625", "Match 03", T.RSA, T.KOR, "2026-06-25T10:00:00+09:00", "Estadio BBVA · Monterrey", "한국 16강의 갈림길, AI의 마지막 예측"], -]; - -// 한국 vs 체코 AI 예측 (플레이스홀더) -const AI = { - A_KOR_CZE_20260612: [ - { model: "GPT", outcome: "TEAM_A_WIN", scoreA: 2, scoreB: 1, confidencePct: 62, reasonShort: "한국의 측면 공격 우위와 세트피스 강점", generatedAt: "2026-06-08" }, - { model: "Claude", outcome: "DRAW", scoreA: 1, scoreB: 1, confidencePct: 41, reasonShort: "중원 밸런스가 팽팽한 접전 예상", generatedAt: "2026-06-08" }, - { model: "Gemini", outcome: "TEAM_B_WIN", scoreA: 0, scoreB: 2, confidencePct: 28, reasonShort: "체코의 전환 속도와 결정력 우세", generatedAt: "2026-06-08" }, - ], -}; - -async function run() { - const batch = db.batch(); - for (const [matchId, round, a, b, kickoff, venue, hook] of MATCHES) { - batch.set(db.collection("matches").doc(matchId), { - matchId, roundLabel: round, group: "A", teamA: a, teamB: b, - kickoffKst: kickoff, venue, opensAt: opens(kickoff), lockAt: kickoff, - status: "scheduled", hookText: hook, result: null, - updatedAt: FieldValue.serverTimestamp(), - }); - // crowd_stats 초기화 (0) - batch.set(db.collection("crowd_stats").doc(matchId), { - matchId, total: 0, teamAWin: 0, draw: 0, teamBWin: 0, updatedAt: FieldValue.serverTimestamp(), - }, { merge: true }); - } - for (const [matchId, preds] of Object.entries(AI)) { - for (const p of preds) { - batch.set(db.collection("ai_predictions").doc(`${matchId}_${p.model}`), { matchId, ...p }); - } - } - await batch.commit(); - console.log(`seeded: ${MATCHES.length} matches, ${Object.values(AI).flat().length} ai_predictions, crowd_stats init`); -} -run().catch((e) => { console.error(e); process.exit(1); }); diff --git a/tsconfig.json b/tsconfig.json deleted file mode 100644 index 3a13f90..0000000 --- a/tsconfig.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "compilerOptions": { - "target": "ES2017", - "lib": ["dom", "dom.iterable", "esnext"], - "allowJs": true, - "skipLibCheck": true, - "strict": true, - "noEmit": true, - "esModuleInterop": true, - "module": "esnext", - "moduleResolution": "bundler", - "resolveJsonModule": true, - "isolatedModules": true, - "jsx": "react-jsx", - "incremental": true, - "plugins": [ - { - "name": "next" - } - ], - "paths": { - "@/*": ["./*"] - } - }, - "include": [ - "next-env.d.ts", - "**/*.ts", - "**/*.tsx", - ".next/types/**/*.ts", - ".next/dev/types/**/*.ts", - "**/*.mts" - ], - "exclude": ["node_modules"] -}