# coding: utf-8

"""
    IONOS DBaaS MongoDB REST API

    With IONOS Cloud Database as a Service, you have the ability to quickly set up and manage a MongoDB database. You can also delete clusters, manage backups and users via the API.  MongoDB is an open source, cross-platform, document-oriented database program. Classified as a NoSQL database program, it uses JSON-like documents with optional schemas.  The MongoDB API allows you to create additional database clusters or modify existing ones. Both tools, the Data Center Designer (DCD) and the API use the same concepts consistently and are well suited for smooth and intuitive use. 

    The version of the OpenAPI document: 1.0.0
    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, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class UserRoles(BaseModel):
    """
    a list of mongodb user role.
    """ # noqa: E501
    role: Optional[StrictStr] = None
    database: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["role", "database"]

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

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

        _obj = cls.model_validate({
            "role": obj.get("role"),
            "database": obj.get("database")
        })
        return _obj


