# 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 pydantic import (
    BaseModel,
    ConfigDict,
    Field,
    StrictBool,
    StrictStr,
    field_validator,
)
from typing import Any, ClassVar, Dict, List, Optional
from typing import Set
from typing_extensions import Self


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

    action: StrictStr
    asset_id: Optional[StrictStr] = Field(default=None, alias="assetId")
    id: StrictStr
    is_trashed: Optional[StrictBool] = Field(default=None, alias="isTrashed")
    reason: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = [
        "action",
        "assetId",
        "id",
        "isTrashed",
        "reason",
    ]

    @field_validator("action")
    def action_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["accept", "reject"]):
            raise ValueError("must be one of enum values ('accept', 'reject')")
        return value

    @field_validator("reason")
    def reason_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(["duplicate", "unsupported-format"]):
            raise ValueError(
                "must be one of enum values ('duplicate', 'unsupported-format')"
            )
        return value

    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 AssetBulkUploadCheckResult 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 AssetBulkUploadCheckResult from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "action": obj.get("action"),
                "assetId": obj.get("assetId"),
                "id": obj.get("id"),
                "isTrashed": obj.get("isTrashed"),
                "reason": obj.get("reason"),
            }
        )
        return _obj
