# coding: utf-8

"""
Immich

Immich API

The version of the OpenAPI document: 2.6.3
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 pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Set
from typing_extensions import Self


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

    photos: StrictInt = Field(description="Number of photos")
    quota_size_in_bytes: Optional[StrictInt] = Field(
        description="User quota size in bytes (null if unlimited)",
        alias="quotaSizeInBytes",
    )
    usage: StrictInt = Field(description="Total storage usage in bytes")
    usage_photos: StrictInt = Field(
        description="Storage usage for photos in bytes", alias="usagePhotos"
    )
    usage_videos: StrictInt = Field(
        description="Storage usage for videos in bytes", alias="usageVideos"
    )
    user_id: StrictStr = Field(description="User ID", alias="userId")
    user_name: StrictStr = Field(description="User name", alias="userName")
    videos: StrictInt = Field(description="Number of videos")
    __properties: ClassVar[List[str]] = [
        "photos",
        "quotaSizeInBytes",
        "usage",
        "usagePhotos",
        "usageVideos",
        "userId",
        "userName",
        "videos",
    ]

    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 UsageByUserDto 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,
        )
        # set to None if quota_size_in_bytes (nullable) is None
        # and model_fields_set contains the field
        if (
            self.quota_size_in_bytes is None
            and "quota_size_in_bytes" in self.model_fields_set
        ):
            _dict["quotaSizeInBytes"] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of UsageByUserDto from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "photos": obj.get("photos"),
                "quotaSizeInBytes": obj.get("quotaSizeInBytes"),
                "usage": obj.get("usage"),
                "usagePhotos": obj.get("usagePhotos"),
                "usageVideos": obj.get("usageVideos"),
                "userId": obj.get("userId"),
                "userName": obj.get("userName"),
                "videos": obj.get("videos"),
            }
        )
        return _obj
