68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
"""Definition of DataModel base class."""
|
|
from __future__ import annotations
|
|
|
|
import random
|
|
|
|
from pydantic import BaseModel
|
|
from pydantic import ValidationError
|
|
|
|
|
|
class DataModel(BaseModel):
|
|
"""DataModel base class."""
|
|
|
|
@classmethod
|
|
def classname(cls) -> str:
|
|
"""Return classname."""
|
|
return cls.__name__
|
|
|
|
@classmethod
|
|
def list_fields(cls) -> list[str]:
|
|
"""List options that are stored as attributes."""
|
|
return list(cls.model_fields.keys())
|
|
|
|
@classmethod
|
|
def from_random(cls):
|
|
"""Instantiate with random numbers."""
|
|
kwargs = {field: random.random() for field in cls.list_fields()}
|
|
return cls(**kwargs)
|
|
|
|
@classmethod
|
|
def from_choice(cls, option: str):
|
|
"""Instantiate from choice."""
|
|
if option is None:
|
|
raise ValidationError()
|
|
assert isinstance(option, str), 'option is not a string'
|
|
allowed_options_list = cls.list_fields()
|
|
assert option in allowed_options_list, \
|
|
f"{option} is not among allowed fields {allowed_options_list}"
|
|
kwargs = {field: 0 for field in cls.list_fields()}
|
|
kwargs[option] = 1
|
|
return cls(**kwargs)
|
|
|
|
@classmethod
|
|
def from_list(cls, data_list: list[float]):
|
|
"""Instantiate from list of values."""
|
|
kwargs = {key: val for key, val in zip(cls.list_fields(), data_list)}
|
|
return cls(**kwargs)
|
|
|
|
def __repr__(self) -> str:
|
|
model_dict = self.model_dump()
|
|
model_repr_str = f"{self.classname()}("
|
|
model_repr_str += ', '.join([
|
|
f"{field}={value:.3f}"
|
|
for field, value
|
|
in model_dict.items()
|
|
])
|
|
model_repr_str += ')'
|
|
return model_repr_str
|
|
|
|
def highest_score_field(self) -> str:
|
|
"""Return name of field with highest score."""
|
|
model_dict = self.model_dump()
|
|
return max(model_dict, key=lambda k: model_dict[k])
|
|
|
|
def highest_score_value(self) -> float:
|
|
"""Return value of field with highest score."""
|
|
model_dict = self.model_dump()
|
|
return max(model_dict.values())
|