Christoph Urlacher
d5d128379d
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188 lines
6.4 KiB
Python
188 lines
6.4 KiB
Python
from typing import Callable, Dict, List, overload
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import numpy as np
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from formula10.domain.domain_model import Model
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from formula10.domain.model.driver import NONE_DRIVER
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from formula10.domain.model.race_guess import RaceGuess
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from formula10.domain.model.race_result import RaceResult
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from formula10.domain.model.user import User
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RACE_GUESS_OFFSET_POINTS: Dict[int, int] = {
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3: 1,
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2: 3,
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1: 6,
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0: 10
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}
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RACE_GUESS_DNF_POINTS: int = 10
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SEASON_GUESS_HOT_TAKE_POINTS: int = 10
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SEASON_GUESS_P2_POINTS: int = 10
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SEASON_GUESS_OVERTAKES_POINTS: int = 10
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SEASON_GUESS_DNF_POINTS: int = 10
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SEASON_GUESS_GAINED_POINTS: int = 10
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SEASON_GUESS_LOST_POINTS: int = 10
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SEASON_GUESS_TEAMWINNER_CORRECT_POINTS: int = 3
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SEASON_GUESS_TEAMWINNER_FALSE_POINTS: int = -3
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SEASON_GUESS_PODIUMS_CORRECT_POINTS: int = 3
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SEASON_GUESS_PODIUMS_FALSE_POINTS: int = -2
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STANDING_2023: Dict[str, int] = {
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"Max Verstappen": 1,
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"Sergio Perez": 2,
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"Lewis Hamilton": 3,
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"Fernando Alonso": 4,
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"Charles Leclerc": 5,
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"Lando Norris": 6,
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"Carlos Sainz": 7,
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"George Russel": 8,
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"Oscar Piastri": 9,
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"Lance Stroll": 10,
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"Pierre Gasly": 11,
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"Esteban Ocon": 12,
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"Alexander Albon": 13,
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"Yuki Tsunoda": 14,
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"Valtteri Bottas": 15,
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"Nico Hulkenberg": 16,
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"Daniel Ricciardo": 17,
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"Zhou Guanyu": 18,
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"Kevin Magnussen": 19,
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"Logan Sargeant": 21
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}
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def standing_points(race_guess: RaceGuess, race_result: RaceResult) -> int:
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guessed_driver_position: int | None = race_result.driver_standing_position(driver=race_guess.pxx_guess)
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if guessed_driver_position is None:
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return 0
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position_offset: int = abs(guessed_driver_position - race_guess.race.place_to_guess)
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if position_offset not in RACE_GUESS_OFFSET_POINTS:
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return 0
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return RACE_GUESS_OFFSET_POINTS[position_offset]
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def dnf_points(race_guess: RaceGuess, race_result: RaceResult) -> int:
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if race_guess.dnf_guess in race_result.initial_dnf:
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return RACE_GUESS_DNF_POINTS
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if race_guess.dnf_guess == NONE_DRIVER and len(race_result.initial_dnf) == 0:
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return RACE_GUESS_DNF_POINTS
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return 0
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class PointsModel(Model):
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"""
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This class bundles all data + functionality required to do points calculations.
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"""
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_points_per_step: Dict[str, List[int]] | None = None
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def __init__(self):
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Model.__init__(self)
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def points_per_step(self) -> Dict[str, List[int]]:
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"""
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Returns a dictionary of lists, containing points per race for each user.
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"""
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if self._points_per_step is None:
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self._points_per_step = dict()
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for user in self.all_users():
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self._points_per_step[user.name] = [0] * 24 # Start at index 1, like the race numbers
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for race_guess in self.all_race_guesses():
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user_name: str = race_guess.user.name
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race_number: int = race_guess.race.number
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race_result: RaceResult | None = self.race_result_by(race_name=race_guess.race.name)
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if race_result is None:
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continue
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self._points_per_step[user_name][race_number] = standing_points(race_guess, race_result) + dnf_points(race_guess, race_result)
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return self._points_per_step
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def points_per_step_cumulative(self) -> Dict[str, List[int]]:
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"""
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Returns a dictionary of lists, containing cumulative points per race for each user.
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"""
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points_per_step_cumulative: Dict[str, List[int]] = dict()
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for user_name, points in self.points_per_step().items():
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points_per_step_cumulative[user_name] = np.cumsum(points).tolist()
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return points_per_step_cumulative
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@overload
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def points_by(self, *, user_name: str) -> List[int]:
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"""
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Returns a list of points per race for a specific user.
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"""
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return self.points_by(user_name=user_name)
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@overload
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def points_by(self, *, race_name: str) -> Dict[str, int]:
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"""
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Returns a dictionary of points per user for a specific race.
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"""
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return self.points_by(race_name=race_name)
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@overload
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def points_by(self, *, user_name: str, race_name: str) -> int:
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"""
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Returns the points for a specific race for a specific user.
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"""
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return self.points_by(user_name=user_name, race_name=race_name)
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def points_by(self, *, user_name: str | None = None, race_name: str | None = None) -> List[int] | Dict[str, int] | int:
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if user_name is not None and race_name is None:
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return self.points_per_step()[user_name]
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if user_name is None and race_name is not None:
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race_number: int = self.race_by(race_name=race_name).number
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points_by_race: Dict[str, int] = dict()
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for _user_name, points in self.points_per_step().items():
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points_by_race[_user_name] = points[race_number]
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return points_by_race
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if user_name is not None and race_name is not None:
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race_number: int = self.race_by(race_name=race_name).number
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return self.points_per_step()[user_name][race_number]
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raise Exception("points_by received an illegal combination of arguments")
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def total_points_by(self, user_name: str) -> int:
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"""
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Returns the total number of points for a specific user.
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"""
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return sum(self.points_by(user_name=user_name))
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def users_sorted_by_points(self) -> List[User]:
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comparator: Callable[[User], int] = lambda user: self.total_points_by(user.name)
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return sorted(self.all_users(), key=comparator, reverse=True)
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def picks_count(self, user_name: str) -> int:
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# Treat standing + dnf picks separately
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return len(self.race_guesses_by(user_name=user_name)) * 2
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def picks_with_points_count(self, user_name: str) -> int:
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count: int = 0
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for race_guess in self.race_guesses_by(user_name=user_name):
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race_result: RaceResult | None = self.race_result_by(race_name=race_guess.race.name)
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if race_result is None:
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continue
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if standing_points(race_guess, race_result) > 0:
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count = count + 1
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if dnf_points(race_guess, race_result) > 0:
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count = count + 1
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return count
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def points_per_pick(self, user_name: str) -> float:
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if self.picks_count(user_name) == 0:
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return 0.0
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return self.total_points_by(user_name) / self.picks_count(user_name)
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