107 lines
3.3 KiB
Python
107 lines
3.3 KiB
Python
from __future__ import annotations
|
|
|
|
from collections.abc import Mapping
|
|
from typing import TYPE_CHECKING, Any, TypeVar, cast
|
|
|
|
from attrs import define as _attrs_define
|
|
from attrs import field as _attrs_field
|
|
|
|
from ..types import UNSET, Unset
|
|
|
|
if TYPE_CHECKING:
|
|
from ..models.personality_traits import PersonalityTraits
|
|
|
|
|
|
T = TypeVar("T", bound="BackgroundResponse")
|
|
|
|
|
|
@_attrs_define
|
|
class BackgroundResponse:
|
|
"""Response model for background update.
|
|
|
|
Example:
|
|
{'background': 'I was born in Texas. I am a software engineer with 10 years of experience.', 'personality':
|
|
{'agreeableness': 0.8, 'bias_strength': 0.6, 'conscientiousness': 0.6, 'extraversion': 0.5, 'neuroticism': 0.4,
|
|
'openness': 0.7}}
|
|
|
|
Attributes:
|
|
background (str):
|
|
personality (None | PersonalityTraits | Unset):
|
|
"""
|
|
|
|
background: str
|
|
personality: None | PersonalityTraits | Unset = UNSET
|
|
additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
|
|
|
|
def to_dict(self) -> dict[str, Any]:
|
|
from ..models.personality_traits import PersonalityTraits
|
|
|
|
background = self.background
|
|
|
|
personality: dict[str, Any] | None | Unset
|
|
if isinstance(self.personality, Unset):
|
|
personality = UNSET
|
|
elif isinstance(self.personality, PersonalityTraits):
|
|
personality = self.personality.to_dict()
|
|
else:
|
|
personality = self.personality
|
|
|
|
field_dict: dict[str, Any] = {}
|
|
field_dict.update(self.additional_properties)
|
|
field_dict.update(
|
|
{
|
|
"background": background,
|
|
}
|
|
)
|
|
if personality is not UNSET:
|
|
field_dict["personality"] = personality
|
|
|
|
return field_dict
|
|
|
|
@classmethod
|
|
def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
|
|
from ..models.personality_traits import PersonalityTraits
|
|
|
|
d = dict(src_dict)
|
|
background = d.pop("background")
|
|
|
|
def _parse_personality(data: object) -> None | PersonalityTraits | Unset:
|
|
if data is None:
|
|
return data
|
|
if isinstance(data, Unset):
|
|
return data
|
|
try:
|
|
if not isinstance(data, dict):
|
|
raise TypeError()
|
|
personality_type_0 = PersonalityTraits.from_dict(data)
|
|
|
|
return personality_type_0
|
|
except (TypeError, ValueError, AttributeError, KeyError):
|
|
pass
|
|
return cast(None | PersonalityTraits | Unset, data)
|
|
|
|
personality = _parse_personality(d.pop("personality", UNSET))
|
|
|
|
background_response = cls(
|
|
background=background,
|
|
personality=personality,
|
|
)
|
|
|
|
background_response.additional_properties = d
|
|
return background_response
|
|
|
|
@property
|
|
def additional_keys(self) -> list[str]:
|
|
return list(self.additional_properties.keys())
|
|
|
|
def __getitem__(self, key: str) -> Any:
|
|
return self.additional_properties[key]
|
|
|
|
def __setitem__(self, key: str, value: Any) -> None:
|
|
self.additional_properties[key] = value
|
|
|
|
def __delitem__(self, key: str) -> None:
|
|
del self.additional_properties[key]
|
|
|
|
def __contains__(self, key: str) -> bool:
|
|
return key in self.additional_properties
|