Source code for annofabapi.pydantic_models.organization_member

"""


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 Annotated, Self

from annofabapi.pydantic_models.organization_member_role import OrganizationMemberRole
from annofabapi.pydantic_models.organization_member_status import OrganizationMemberStatus




class OrganizationMember(BaseModel):
    """
    OrganizationMember
    """

    organization_id: StrictStr = Field(description="組織ID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    account_id: StrictStr = Field(description="アカウントID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    user_id: StrictStr = Field(description="ユーザーID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    username: StrictStr = Field(description="ユーザー名")
    role: OrganizationMemberRole
    status: OrganizationMemberStatus
    biography: Annotated[str, Field(min_length=0, strict=True, max_length=100)] | None = Field(
        default=None,
        description="人物紹介、略歴。  この属性は、Annofab外の所属先や肩書などを表すために用います。 Annofab上の「複数の組織」で活動する場合、本籍を示すのに便利です。 ",
    )
    created_datetime: str = Field(description="作成日時")
    updated_datetime: str = Field(description="更新日時")
    __properties: ClassVar[List[str]] = [
        "organization_id",
        "account_id",
        "user_id",
        "username",
        "role",
        "status",
        "biography",
        "created_datetime",
        "updated_datetime",
    ]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )



    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))




    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())




    @classmethod
    def from_json(cls, json_str: str) -> Self | None:
        """Create an instance of OrganizationMember from a JSON string"""
        return cls.from_dict(json.loads(json_str))




    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




    @classmethod
    def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
        """Create an instance of OrganizationMember 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"),
                "account_id": obj.get("account_id"),
                "user_id": obj.get("user_id"),
                "username": obj.get("username"),
                "role": obj.get("role"),
                "status": obj.get("status"),
                "biography": obj.get("biography"),
                "created_datetime": obj.get("created_datetime"),
                "updated_datetime": obj.get("updated_datetime"),
            }
        )
        return _obj