122 lines
3.9 KiB
Python
122 lines
3.9 KiB
Python
from collections.abc import Mapping
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from typing import TYPE_CHECKING, Any, TypeVar, Union, cast
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from attrs import define as _attrs_define
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from attrs import field as _attrs_field
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from ..types import UNSET, Unset
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if TYPE_CHECKING:
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from ..models.llm_config_input_dto import LLMConfigInputDTO
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from ..models.vector_db_config_input_dto import VectorDBConfigInputDTO
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T = TypeVar("T", bound="SettingsPayloadDTO")
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@_attrs_define
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class SettingsPayloadDTO:
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"""
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Attributes:
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llm (Union['LLMConfigInputDTO', None, Unset]):
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vector_db (Union['VectorDBConfigInputDTO', None, Unset]):
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"""
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llm: Union["LLMConfigInputDTO", None, Unset] = UNSET
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vector_db: Union["VectorDBConfigInputDTO", None, Unset] = UNSET
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additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
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def to_dict(self) -> dict[str, Any]:
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from ..models.llm_config_input_dto import LLMConfigInputDTO
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from ..models.vector_db_config_input_dto import VectorDBConfigInputDTO
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llm: Union[None, Unset, dict[str, Any]]
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if isinstance(self.llm, Unset):
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llm = UNSET
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elif isinstance(self.llm, LLMConfigInputDTO):
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llm = self.llm.to_dict()
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else:
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llm = self.llm
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vector_db: Union[None, Unset, dict[str, Any]]
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if isinstance(self.vector_db, Unset):
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vector_db = UNSET
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elif isinstance(self.vector_db, VectorDBConfigInputDTO):
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vector_db = self.vector_db.to_dict()
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else:
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vector_db = self.vector_db
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field_dict: dict[str, Any] = {}
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field_dict.update(self.additional_properties)
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field_dict.update({})
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if llm is not UNSET:
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field_dict["llm"] = llm
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if vector_db is not UNSET:
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field_dict["vectorDb"] = vector_db
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return field_dict
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@classmethod
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def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
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from ..models.llm_config_input_dto import LLMConfigInputDTO
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from ..models.vector_db_config_input_dto import VectorDBConfigInputDTO
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d = dict(src_dict)
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def _parse_llm(data: object) -> Union["LLMConfigInputDTO", None, Unset]:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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try:
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if not isinstance(data, dict):
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raise TypeError()
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llm_type_0 = LLMConfigInputDTO.from_dict(data)
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return llm_type_0
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except: # noqa: E722
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pass
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return cast(Union["LLMConfigInputDTO", None, Unset], data)
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llm = _parse_llm(d.pop("llm", UNSET))
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def _parse_vector_db(data: object) -> Union["VectorDBConfigInputDTO", None, Unset]:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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try:
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if not isinstance(data, dict):
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raise TypeError()
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vector_db_type_0 = VectorDBConfigInputDTO.from_dict(data)
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return vector_db_type_0
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except: # noqa: E722
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pass
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return cast(Union["VectorDBConfigInputDTO", None, Unset], data)
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vector_db = _parse_vector_db(d.pop("vectorDb", UNSET))
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settings_payload_dto = cls(
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llm=llm,
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vector_db=vector_db,
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)
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settings_payload_dto.additional_properties = d
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return settings_payload_dto
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@property
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def additional_keys(self) -> list[str]:
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return list(self.additional_properties.keys())
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def __getitem__(self, key: str) -> Any:
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return self.additional_properties[key]
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def __setitem__(self, key: str, value: Any) -> None:
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self.additional_properties[key] = value
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def __delitem__(self, key: str) -> None:
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del self.additional_properties[key]
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def __contains__(self, key: str) -> bool:
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return key in self.additional_properties
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