# coding: utf-8

"""
    Accounting service API

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: v0
    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, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class UserModel(BaseModel):
    """
    UserModel
    """ # noqa: E501
    id: Optional[StrictStr] = Field(default=None, description="The ID of the user.")
    first_name: Optional[StrictStr] = Field(default=None, description="The name of the user.", alias="firstName")
    last_name: Optional[StrictStr] = Field(default=None, description="The last name of the user.", alias="lastName")
    email: Optional[StrictStr] = Field(default=None, description="User email")
    type: Optional[StrictStr] = Field(default=None, description="REAL_USER - user was found, UNKNOWN_USER - user was not found, SYSTEM_USER - user_id = 0 OR null")
    __properties: ClassVar[List[str]] = ["id", "firstName", "lastName", "email", "type"]

    @field_validator('type')
    def type_validate_enum(cls, value):
        """Validates the enum, returning unknown_default_open_api for unrecognized values"""
        if value is None:
            return value

        _allowed_values = set(['REAL_USER', 'SYSTEM_USER', 'UNKNOWN_USER', 'unknown_default_open_api'])
        if value not in _allowed_values:
            return 'unknown_default_open_api'
        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 UserModel 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 UserModel from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "firstName": obj.get("firstName"),
            "lastName": obj.get("lastName"),
            "email": obj.get("email"),
            "type": obj.get("type")
        })
        return _obj


