Christoph Urlacher
3704192730
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46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
from typing import Any, List
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from sqlalchemy import ForeignKey
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from formula10.database.model.user import User
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from formula10.database.model.race import Race
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from formula10.database.model.driver import Driver
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from formula10 import db
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class RaceGuess(db.Model):
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"""
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A guess a user made for a race.
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It stores the corresponding race and the guessed drivers for PXX and DNF.
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"""
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__tablename__ = "raceguess"
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__csv_header__ = ["user_name", "race_name", "pxx_driver_name", "dnf_driver_name"]
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def __init__(self, user_name: str, race_name: str):
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self.user_name = user_name # Primary key
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self.race_name = race_name # Primery key
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@staticmethod
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def from_csv(row: List[str]):
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race_guess: RaceGuess = RaceGuess(str(row[0]), str(row[1]))
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race_guess.pxx_driver_name = str(row[2])
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race_guess.dnf_driver_name = str(row[3])
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return race_guess
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def to_csv(self) -> List[Any]:
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return [
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self.user_name,
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self.race_name,
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self.pxx_driver_name,
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self.dnf_driver_name
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]
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user_name: Mapped[str] = mapped_column(ForeignKey("user.name"), primary_key=True)
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race_name: Mapped[str] = mapped_column(ForeignKey("race.name"), primary_key=True)
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pxx_driver_name: Mapped[str] = mapped_column(ForeignKey("driver.name"), nullable=True)
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dnf_driver_name: Mapped[str] = mapped_column(ForeignKey("driver.name"), nullable=True)
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# Relationships
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user: Mapped["User"] = relationship("User", foreign_keys=[user_name])
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race: Mapped["Race"] = relationship("Race", foreign_keys=[race_name])
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pxx: Mapped["Driver"] = relationship("Driver", foreign_keys=[pxx_driver_name])
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dnf: Mapped["Driver"] = relationship("Driver", foreign_keys=[dnf_driver_name]) |