# coding: utf-8

"""
Immich

Immich API

The version of the OpenAPI document: 2.4.1
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from immich.client.models.notification_level import NotificationLevel
from immich.client.models.notification_type import NotificationType
from typing import Set
from typing_extensions import Self


class NotificationDto(BaseModel):
    """
    NotificationDto
    """  # noqa: E501

    created_at: datetime = Field(alias="createdAt")
    data: Optional[Dict[str, Any]] = None
    description: Optional[StrictStr] = None
    id: StrictStr
    level: NotificationLevel
    read_at: Optional[datetime] = Field(default=None, alias="readAt")
    title: StrictStr
    type: NotificationType
    __properties: ClassVar[List[str]] = [
        "createdAt",
        "data",
        "description",
        "id",
        "level",
        "readAt",
        "title",
        "type",
    ]

    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) -> Optional[Self]:
        """Create an instance of NotificationDto 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: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of NotificationDto from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "createdAt": obj.get("createdAt"),
                "data": obj.get("data"),
                "description": obj.get("description"),
                "id": obj.get("id"),
                "level": obj.get("level"),
                "readAt": obj.get("readAt"),
                "title": obj.get("title"),
                "type": obj.get("type"),
            }
        )
        return _obj
