feat: 足球 LLM 预测服务初始提交
Profeto — 给 LLM 提供数据,让 LLM 预测足球比分。 核心模块: - FastAPI 后端 + PostgreSQL (SQLAlchemy async) - 多 Agent LLM 预测 (5 专家 + 终裁) - 数据采集 (bzzoiro / understat / injuries) - React 前端 (Vite + Tailwind) 包含: - 数据源抽象 (DataSource 协议 + 注册表) - Alembic 数据库迁移 - Prompt 模板 (单/多 Agent) - 核心路径单元测试
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shangfangjian
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"""5 张表 ORM: leagues / teams / matches / match_stats / predictions。"""
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from __future__ import annotations
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from datetime import date, datetime, timezone
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from sqlalchemy import (
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Boolean,
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Date,
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DateTime,
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Float,
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ForeignKey,
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Index,
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Integer,
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String,
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Text,
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func,
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)
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from src.db.base import Base
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def _utcnow() -> datetime:
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return datetime.now(timezone.utc)
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class League(Base):
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__tablename__ = "leagues"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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code: Mapped[str] = mapped_column(String(20), unique=True, nullable=False)
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name: Mapped[str] = mapped_column(String(100), nullable=False)
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country: Mapped[str | None] = mapped_column(String(50))
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
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matches: Mapped[list["Match"]] = relationship(back_populates="league")
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class Team(Base):
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__tablename__ = "teams"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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name: Mapped[str] = mapped_column(String(120), unique=True, nullable=False)
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name_zh: Mapped[str | None] = mapped_column(String(60))
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team_type: Mapped[str] = mapped_column(String(20), default="club")
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
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home_matches: Mapped[list["Match"]] = relationship(foreign_keys="Match.home_team_id", back_populates="home_team")
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away_matches: Mapped[list["Match"]] = relationship(foreign_keys="Match.away_team_id", back_populates="away_team")
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class Match(Base):
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__tablename__ = "matches"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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league_id: Mapped[int] = mapped_column(ForeignKey("leagues.id"), nullable=False)
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season: Mapped[str | None] = mapped_column(String(12))
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home_team_id: Mapped[int] = mapped_column(ForeignKey("teams.id"), nullable=False)
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away_team_id: Mapped[int] = mapped_column(ForeignKey("teams.id"), nullable=False)
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match_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
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match_date_date: Mapped[date] = mapped_column(
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"match_date_date",
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Date,
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nullable=False,
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index=True,
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)
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match_status: Mapped[str] = mapped_column(String(20), default="scheduled")
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home_goals: Mapped[int | None] = mapped_column(Integer)
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away_goals: Mapped[int | None] = mapped_column(Integer)
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home_ht_goals: Mapped[int | None] = mapped_column(Integer)
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away_ht_goals: Mapped[int | None] = mapped_column(Integer)
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match_stage: Mapped[str | None] = mapped_column(String(100))
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
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updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, onupdate=_utcnow)
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league: Mapped[League] = relationship(back_populates="matches")
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home_team: Mapped[Team] = relationship(foreign_keys=[home_team_id], back_populates="home_matches")
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away_team: Mapped[Team] = relationship(foreign_keys=[away_team_id], back_populates="away_matches")
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stats: Mapped["MatchStats | None"] = relationship(back_populates="match", cascade="all, delete-orphan")
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predictions: Mapped[list["Prediction"]] = relationship(back_populates="match", cascade="all, delete-orphan")
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__table_args__ = (
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Index("ix_matches_league_date", "league_id", match_date.desc()),
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Index("ix_matches_home_date", "home_team_id", match_date.desc()),
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Index("ix_matches_away_date", "away_team_id", match_date.desc()),
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Index("ix_matches_status_date", "match_status", match_date.desc()),
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Index(
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"ix_matches_unique",
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"league_id",
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"home_team_id",
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"away_team_id",
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"match_date_date",
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unique=True,
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),
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)
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class MatchStats(Base):
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__tablename__ = "match_stats"
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match_id: Mapped[int] = mapped_column(ForeignKey("matches.id", ondelete="CASCADE"), primary_key=True)
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home_xg: Mapped[float | None] = mapped_column(Float)
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away_xg: Mapped[float | None] = mapped_column(Float)
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home_shots: Mapped[int | None] = mapped_column(Integer)
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away_shots: Mapped[int | None] = mapped_column(Integer)
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home_shots_on_target: Mapped[int | None] = mapped_column(Integer)
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away_shots_on_target: Mapped[int | None] = mapped_column(Integer)
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home_corners: Mapped[int | None] = mapped_column(Integer)
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away_corners: Mapped[int | None] = mapped_column(Integer)
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home_possession: Mapped[float | None] = mapped_column(Float)
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home_yellow_cards: Mapped[int | None] = mapped_column(Integer)
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away_yellow_cards: Mapped[int | None] = mapped_column(Integer)
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home_red_cards: Mapped[int | None] = mapped_column(Integer)
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away_red_cards: Mapped[int | None] = mapped_column(Integer)
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updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, onupdate=_utcnow)
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match: Mapped[Match] = relationship(back_populates="stats")
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class Injury(Base):
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"""球员伤停记录(api-football 数据源)。"""
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__tablename__ = "injuries"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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player_id: Mapped[int | None] = mapped_column(Integer, index=True)
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player_name: Mapped[str] = mapped_column(String(120), nullable=False)
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team_id: Mapped[int | None] = mapped_column(ForeignKey("teams.id"), index=True)
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fixture_id: Mapped[int | None] = mapped_column(Integer)
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league_id: Mapped[int | None] = mapped_column(Integer)
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injury_type: Mapped[str | None] = mapped_column(String(50)) # Missing Fixture / Suspended
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reason: Mapped[str | None] = mapped_column(String(200))
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injury_date: Mapped[date | None] = mapped_column(Date, index=True)
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return_date: Mapped[date | None] = mapped_column(Date)
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retrieved_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
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team: Mapped["Team | None"] = relationship()
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__table_args__ = (
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Index("ix_injuries_player_fixture", "player_id", "fixture_id", "injury_type", unique=True),
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Index("ix_injuries_team_date", "team_id", "injury_date"),
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)
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class Prediction(Base):
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__tablename__ = "predictions"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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match_id: Mapped[int] = mapped_column(ForeignKey("matches.id"), nullable=False)
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provider: Mapped[str] = mapped_column(String(30), nullable=False)
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model: Mapped[str] = mapped_column(String(80), nullable=False)
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prompt_version: Mapped[str] = mapped_column(String(20), nullable=False, default="v1")
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prompt_tokens: Mapped[int | None] = mapped_column(Integer)
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completion_tokens: Mapped[int | None] = mapped_column(Integer)
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latency_ms: Mapped[int | None] = mapped_column(Integer)
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pred_home_goals: Mapped[float | None] = mapped_column(Float)
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pred_away_goals: Mapped[float | None] = mapped_column(Float)
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pred_1x2: Mapped[str | None] = mapped_column(String(3))
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confidence: Mapped[float | None] = mapped_column(Float)
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reasoning: Mapped[str | None] = mapped_column(Text)
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raw_response: Mapped[dict | None] = mapped_column(JSONB)
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# multi-agent 模式: 各专家报告
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mode: Mapped[str] = mapped_column(String(20), nullable=False, default="single")
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agent_outputs: Mapped[dict | None] = mapped_column(JSONB)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
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actual_home_goals: Mapped[int | None] = mapped_column(Integer)
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actual_away_goals: Mapped[int | None] = mapped_column(Integer)
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settled: Mapped[bool] = mapped_column(Boolean, default=False)
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match: Mapped[Match] = relationship(back_populates="predictions")
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__table_args__ = (
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Index("ix_predictions_match", "match_id"),
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Index("ix_predictions_provider_model", "provider", "model"),
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)
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