from dataclasses import dataclass
from typing import List, Optional
from pydantic import BaseModel, Field, validator
[docs]class TrackingShotItem(BaseModel):
# Only for player stats
player_id: Optional[int] = Field(alias="PLAYER_ID")
player_name: Optional[str] = Field(alias="PLAYER_NAME")
player_last_team_id: Optional[int] = Field(alias="PLAYER_LAST_TEAM_ID")
player_last_team_abbreviation: Optional[str] = Field(
alias="PLAYER_LAST_TEAM_ABBREVIATION"
)
age: Optional[int] = Field(alias="AGE")
# Only for team stats
team_name: Optional[str] = Field(alias="TEAM_NAME")
team_id: Optional[int] = Field(alias="TEAM_ID")
team_abbreviation: Optional[str] = Field(alias="TEAM_ABBREVIATION")
# Only for season stats
season: Optional[str] = Field(alias="SEASON")
# Only for game logs
game_id: Optional[str] = Field(alias="GAME_ID")
opponent_team_id: Optional[int] = Field(alias="OPPONENT_TEAM_ID")
games_played: Optional[int] = Field(default=0, alias="GP")
fgm: Optional[int] = Field(default=0, alias="FGM")
fga: Optional[int] = Field(default=0, alias="FGA")
fg2m: Optional[int] = Field(default=0, alias="FG2M")
fg2a: Optional[int] = Field(default=0, alias="FG2A")
fg3m: Optional[int] = Field(default=0, alias="FG3M")
fg3a: Optional[int] = Field(default=0, alias="FG3A")
# For computing frequencies. Not in response.
overall_fga: Optional[int] = Field(default=0)
overall_fg2a: Optional[int] = Field(default=0)
overall_fg3a: Optional[int] = Field(default=0)
# if value from request is None, set it to 0
[docs] @validator("games_played")
def set_games_played(cls, v):
return v or 0
[docs] @validator("fgm")
def set_fgm(cls, v):
return v or 0
[docs] @validator("fga")
def set_fga(cls, v):
return v or 0
[docs] @validator("fg2m")
def set_fg2m(cls, v):
return v or 0
[docs] @validator("fg2a")
def set_fg2a(cls, v):
return v or 0
[docs] @validator("fg3m")
def set_fg3m(cls, v):
return v or 0
[docs] @validator("fg3a")
def set_fg3a(cls, v):
return v or 0
@property
def fg2pct(self):
if self.fg2a == 0:
return 0
return self.fg2m / self.fg2a
@property
def fg3pct(self):
if self.fg3a == 0:
return 0
return self.fg3m / self.fg3a
@property
def efg(self):
if self.fga == 0:
return 0
return (self.fgm + 0.5 * self.fg3m) / self.fga
@property
def fga_frequency(self):
if self.overall_fga == 0:
return 0
return self.fga / self.overall_fga
@property
def fg2a_frequency(self):
if self.overall_fga == 0:
return 0
return self.fg2a / self.overall_fga
@property
def fg3a_frequency(self):
if self.overall_fga == 0:
return 0
return self.fg3a / self.overall_fga
@property
def frequency_of_fg2a(self):
if self.overall_fg2a == 0:
return 0
return self.fg2a / self.overall_fg2a
@property
def frequency_of_fg3a(self):
if self.overall_fg3a == 0:
return 0
return self.fg3a / self.overall_fg3a
def __add__(self, other):
self.games_played += other.games_played
self.fgm += other.fgm
self.fga += other.fga
self.fg2m += other.fg2m
self.fg2a += other.fg2a
self.fg3m += other.fg3m
self.fg3a += other.fg3a
self.overall_fga += other.overall_fga
self.overall_fg2a += other.overall_fg2a
self.overall_fg3a += other.overall_fg3a
return self
def __getitem__(self, item):
return getattr(self, item)
[docs]@dataclass
class TrackingShotResults:
results: List[TrackingShotItem]
def __init__(self, **kwargs):
headers = kwargs.get("headers", [])
rows = kwargs.get("rowSet", [])
self.results = [TrackingShotItem(**dict(zip(headers, row))) for row in rows]