Source code for annofabapi.pydantic_models.my_notification_message

"""


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, StrictBool, StrictStr
from typing_extensions import Self


[docs] class MyNotificationMessage(BaseModel): """ 自分への通知メッセージの情報です。 """ message_id: StrictStr = Field(description="通知メッセージID。[値の制約についてはこちら。](#section/API-Convention/APIID) ") title: StrictStr = Field(description="メッセージ通知のタイトル ") body: StrictStr = Field(description="メッセージ通知の本文 ") content_type: StrictStr | None = Field( default=None, description="メッセージのコンテンツタイプ。 メッセージを表示する際のマークアップのヒントとして使われることを想定しています。 " ) opened: StrictBool = Field(description="自身がメッセージを開封したか(開封済みの場合true) ") timestamp: str = Field(description="最後に通知メッセージ内容を更新した日時。更新がない場合はメッセージ作成日時 ") created_datetime: str = Field(description="メッセージ作成日時 ") __properties: ClassVar[List[str]] = ["message_id", "title", "body", "content_type", "opened", "timestamp", "created_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 MyNotificationMessage 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 MyNotificationMessage from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "message_id": obj.get("message_id"), "title": obj.get("title"), "body": obj.get("body"), "content_type": obj.get("content_type"), "opened": obj.get("opened"), "timestamp": obj.get("timestamp"), "created_datetime": obj.get("created_datetime"), } ) return _obj