239 lines
8.2 KiB
Python
239 lines
8.2 KiB
Python
from collections.abc import Mapping
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from typing import Any, Literal, TypeVar, Union, cast
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from uuid import UUID
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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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T = TypeVar("T", bound="MemifyPayloadDTO")
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@_attrs_define
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class MemifyPayloadDTO:
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"""
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Attributes:
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extraction_tasks (Union[None, Unset, list[str]]):
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enrichment_tasks (Union[None, Unset, list[str]]):
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data (Union[None, Unset, str]): Default: ''.
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dataset_name (Union[None, Unset, str]):
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dataset_id (Union[Literal[''], None, UUID, Unset]):
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node_name (Union[None, Unset, list[str]]):
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run_in_background (Union[None, Unset, bool]): Default: False.
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"""
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extraction_tasks: Union[None, Unset, list[str]] = UNSET
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enrichment_tasks: Union[None, Unset, list[str]] = UNSET
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data: Union[None, Unset, str] = ""
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dataset_name: Union[None, Unset, str] = UNSET
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dataset_id: Union[Literal[""], None, UUID, Unset] = UNSET
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node_name: Union[None, Unset, list[str]] = UNSET
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run_in_background: Union[None, Unset, bool] = False
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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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extraction_tasks: Union[None, Unset, list[str]]
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if isinstance(self.extraction_tasks, Unset):
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extraction_tasks = UNSET
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elif isinstance(self.extraction_tasks, list):
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extraction_tasks = self.extraction_tasks
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else:
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extraction_tasks = self.extraction_tasks
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enrichment_tasks: Union[None, Unset, list[str]]
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if isinstance(self.enrichment_tasks, Unset):
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enrichment_tasks = UNSET
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elif isinstance(self.enrichment_tasks, list):
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enrichment_tasks = self.enrichment_tasks
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else:
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enrichment_tasks = self.enrichment_tasks
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data: Union[None, Unset, str]
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if isinstance(self.data, Unset):
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data = UNSET
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else:
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data = self.data
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dataset_name: Union[None, Unset, str]
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if isinstance(self.dataset_name, Unset):
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dataset_name = UNSET
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else:
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dataset_name = self.dataset_name
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dataset_id: Union[Literal[""], None, Unset, str]
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if isinstance(self.dataset_id, Unset):
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dataset_id = UNSET
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elif isinstance(self.dataset_id, UUID):
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dataset_id = str(self.dataset_id)
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else:
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dataset_id = self.dataset_id
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node_name: Union[None, Unset, list[str]]
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if isinstance(self.node_name, Unset):
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node_name = UNSET
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elif isinstance(self.node_name, list):
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node_name = self.node_name
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else:
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node_name = self.node_name
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run_in_background: Union[None, Unset, bool]
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if isinstance(self.run_in_background, Unset):
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run_in_background = UNSET
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else:
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run_in_background = self.run_in_background
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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 extraction_tasks is not UNSET:
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field_dict["extractionTasks"] = extraction_tasks
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if enrichment_tasks is not UNSET:
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field_dict["enrichmentTasks"] = enrichment_tasks
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if data is not UNSET:
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field_dict["data"] = data
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if dataset_name is not UNSET:
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field_dict["datasetName"] = dataset_name
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if dataset_id is not UNSET:
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field_dict["datasetId"] = dataset_id
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if node_name is not UNSET:
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field_dict["nodeName"] = node_name
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if run_in_background is not UNSET:
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field_dict["runInBackground"] = run_in_background
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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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d = dict(src_dict)
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def _parse_extraction_tasks(data: object) -> Union[None, Unset, list[str]]:
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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, list):
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raise TypeError()
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extraction_tasks_type_0 = cast(list[str], data)
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return extraction_tasks_type_0
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except: # noqa: E722
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pass
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return cast(Union[None, Unset, list[str]], data)
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extraction_tasks = _parse_extraction_tasks(d.pop("extractionTasks", UNSET))
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def _parse_enrichment_tasks(data: object) -> Union[None, Unset, list[str]]:
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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, list):
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raise TypeError()
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enrichment_tasks_type_0 = cast(list[str], data)
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return enrichment_tasks_type_0
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except: # noqa: E722
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pass
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return cast(Union[None, Unset, list[str]], data)
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enrichment_tasks = _parse_enrichment_tasks(d.pop("enrichmentTasks", UNSET))
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def _parse_data(data: object) -> Union[None, Unset, str]:
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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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return cast(Union[None, Unset, str], data)
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data = _parse_data(d.pop("data", UNSET))
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def _parse_dataset_name(data: object) -> Union[None, Unset, str]:
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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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return cast(Union[None, Unset, str], data)
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dataset_name = _parse_dataset_name(d.pop("datasetName", UNSET))
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def _parse_dataset_id(data: object) -> Union[Literal[""], None, UUID, 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, str):
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raise TypeError()
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dataset_id_type_0 = UUID(data)
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return dataset_id_type_0
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except: # noqa: E722
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pass
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dataset_id_type_1 = cast(Literal[""], data)
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if dataset_id_type_1 != "":
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raise ValueError(f"datasetId_type_1 must match const '', got '{dataset_id_type_1}'")
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return dataset_id_type_1
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return cast(Union[Literal[""], None, UUID, Unset], data)
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dataset_id = _parse_dataset_id(d.pop("datasetId", UNSET))
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def _parse_node_name(data: object) -> Union[None, Unset, list[str]]:
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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, list):
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raise TypeError()
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node_name_type_0 = cast(list[str], data)
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return node_name_type_0
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except: # noqa: E722
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pass
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return cast(Union[None, Unset, list[str]], data)
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node_name = _parse_node_name(d.pop("nodeName", UNSET))
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def _parse_run_in_background(data: object) -> Union[None, Unset, bool]:
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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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return cast(Union[None, Unset, bool], data)
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run_in_background = _parse_run_in_background(d.pop("runInBackground", UNSET))
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memify_payload_dto = cls(
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extraction_tasks=extraction_tasks,
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enrichment_tasks=enrichment_tasks,
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data=data,
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dataset_name=dataset_name,
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dataset_id=dataset_id,
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node_name=node_name,
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run_in_background=run_in_background,
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)
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memify_payload_dto.additional_properties = d
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return memify_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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