fleet-memory/memora-clients/python/models/create_agent_request.py
Nicolò Boschi c82fff949b add profiles
2025-11-13 13:22:27 +01:00

116 lines
3.7 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="CreateAgentRequest")
@_attrs_define
class CreateAgentRequest:
"""Request model for creating/updating an agent.
Example:
{'background': 'I am a creative software engineer with 10 years of experience', 'personality': {'agreeableness':
0.7, 'bias_strength': 0.7, 'conscientiousness': 0.6, 'extraversion': 0.5, 'neuroticism': 0.3, 'openness': 0.8}}
Attributes:
personality (None | PersonalityTraits | Unset):
background (None | str | Unset):
"""
personality: None | PersonalityTraits | Unset = UNSET
background: None | str | 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
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
background: None | str | Unset
if isinstance(self.background, Unset):
background = UNSET
else:
background = self.background
field_dict: dict[str, Any] = {}
field_dict.update(self.additional_properties)
field_dict.update({})
if personality is not UNSET:
field_dict["personality"] = personality
if background is not UNSET:
field_dict["background"] = background
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)
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))
def _parse_background(data: object) -> None | str | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
return cast(None | str | Unset, data)
background = _parse_background(d.pop("background", UNSET))
create_agent_request = cls(
personality=personality,
background=background,
)
create_agent_request.additional_properties = d
return create_agent_request
@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