Source code for annofabapi.pydantic_models.organization

"""


No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self

from annofabapi.pydantic_models.price_plan import PricePlan


[docs] class Organization(BaseModel): """ Organization """ organization_id: StrictStr = Field(description="組織ID。[値の制約についてはこちら。](#section/API-Convention/APIID) ") organization_name: StrictStr = Field(description="組織名。[値の制約についてはこちら。](#section/API-Convention/APIID) ") email: StrictStr = Field(description="メールアドレス") price_plan: PricePlan summary: Dict[str, Any] = Field(description="廃止予定のプロパティです。常に中身は空です。 ") created_datetime: str = Field(description="作成日時") updated_datetime: str = Field(description="更新日時") __properties: ClassVar[List[str]] = [ "organization_id", "organization_name", "email", "price_plan", "summary", "created_datetime", "updated_datetime", ] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] 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())
[docs] @classmethod def from_json(cls, json_str: str) -> Self | None: """Create an instance of Organization from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] 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, ) return _dict
[docs] @classmethod def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None: """Create an instance of Organization from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "organization_id": obj.get("organization_id"), "organization_name": obj.get("organization_name"), "email": obj.get("email"), "price_plan": obj.get("price_plan"), "summary": obj.get("summary"), "created_datetime": obj.get("created_datetime"), "updated_datetime": obj.get("updated_datetime"), } ) return _obj