# coding: utf-8
"""
GameBrain API
GameBrain API
The version of the OpenAPI document: 1.0.1
Contact: mail@gamebrain.co
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self
class GameResponseRating(BaseModel):
"""
GameResponseRating
""" # noqa: E501
mean: Optional[Union[StrictFloat, StrictInt]] = None
count: Optional[StrictInt] = None
mean_players: Optional[Union[StrictFloat, StrictInt]] = None
count_players: Optional[StrictInt] = None
mean_critics: Optional[Union[StrictFloat, StrictInt]] = None
count_critics: Optional[StrictInt] = None
__properties: ClassVar[List[str]] = ["mean", "count", "mean_players", "count_players", "mean_critics", "count_critics"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of GameResponseRating from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if mean (nullable) is None
# and model_fields_set contains the field
if self.mean is None and "mean" in self.model_fields_set:
_dict['mean'] = None
# set to None if mean_players (nullable) is None
# and model_fields_set contains the field
if self.mean_players is None and "mean_players" in self.model_fields_set:
_dict['mean_players'] = None
# set to None if mean_critics (nullable) is None
# and model_fields_set contains the field
if self.mean_critics is None and "mean_critics" in self.model_fields_set:
_dict['mean_critics'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of GameResponseRating from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"mean": obj.get("mean"),
"count": obj.get("count"),
"mean_players": obj.get("mean_players"),
"count_players": obj.get("count_players"),
"mean_critics": obj.get("mean_critics"),
"count_critics": obj.get("count_critics")
})
return _obj
