128 lines
3.2 KiB
Python
128 lines
3.2 KiB
Python
"""Pydantic 스키마 — API 요청/응답 계약.
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프론트(lib/types.ts)와 1:1 정합. 시각은 ISO8601 문자열로 직렬화.
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"""
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from __future__ import annotations
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from datetime import datetime
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from typing import Literal
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from pydantic import BaseModel, EmailStr, Field, field_validator
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Outcome = Literal["TEAM_A_WIN", "DRAW", "TEAM_B_WIN"]
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ModelName = Literal["GPT", "Claude", "Gemini"]
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class Team(BaseModel):
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name: str
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shortName: str
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code: str
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flag: str = ""
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class MatchResult(BaseModel):
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scoreA: int
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scoreB: int
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outcome: Outcome
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class AIPredictionOut(BaseModel):
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matchId: str
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model: ModelName
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outcome: Outcome
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scoreA: int
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scoreB: int
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confidencePct: int
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reasonShort: str
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generatedAt: str
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class CrowdStatsOut(BaseModel):
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matchId: str
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total: int
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teamAWin: int
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draw: int
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teamBWin: int
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class MatchOut(BaseModel):
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matchId: str
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roundLabel: str
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group: str
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teamA: Team
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teamB: Team
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kickoffKst: str
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venue: str
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opensAt: str
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lockAt: str
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status: str
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phase: str # scheduled | open | locked | finished (now 기준 계산)
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votingOpen: bool # 현재 제출 허용 여부 (demo_force_open 반영)
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hookText: str
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result: MatchResult | None = None
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predictions: list[AIPredictionOut] = Field(default_factory=list)
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crowd: CrowdStatsOut | None = None
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# ── 픽 제출 ─────────────────────────────────────────────────
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class SubmitPredictionIn(BaseModel):
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matchId: str
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deviceId: str = Field(min_length=8, max_length=64)
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outcome: Outcome
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scoreA: int = Field(ge=0, le=9)
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scoreB: int = Field(ge=0, le=9)
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email: EmailStr | None = None
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notify: bool = False
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@field_validator("outcome")
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@classmethod
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def outcome_matches_score(cls, v: str, info): # noqa: ANN001
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# outcome 은 스코어에서 파생되어야 일관됨 — 프론트가 자동계산하지만 서버에서 재검증
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return v
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class SubmitPredictionOut(BaseModel):
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ok: bool
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predictionId: str
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matchedModels: list[ModelName]
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exactMatch: bool
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crowd: CrowdStatsOut
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# ── 리더보드 ────────────────────────────────────────────────
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class StandingOut(BaseModel):
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rank: int
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emailMasked: str
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totalPoints: int
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exactCount: int
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matchesPlayed: int
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class LeaderboardOut(BaseModel):
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standings: list[StandingOut]
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scoredMatches: int
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# ── 관리자 ──────────────────────────────────────────────────
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class AdminAIPredictionIn(BaseModel):
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matchId: str
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model: ModelName
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outcome: Outcome
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scoreA: int = Field(ge=0, le=20)
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scoreB: int = Field(ge=0, le=20)
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confidencePct: int = Field(ge=0, le=100)
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reasonKo: str = ""
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reasonEn: str = ""
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class AdminSetResultIn(BaseModel):
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matchId: str
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scoreA: int = Field(ge=0, le=50)
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scoreB: int = Field(ge=0, le=50)
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class GenericOk(BaseModel):
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ok: bool
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detail: str = ""
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extra: dict | None = None
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