# coding: utf-8

"""
    The Jira Cloud platform REST API

    Jira Cloud platform REST API documentation

    The version of the OpenAPI document: 1001.0.0-SNAPSHOT-7ce0ee67a52d004425175cea962ad1c1c7200181
    Contact: ecosystem@atlassian.com
    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 GlobalScopeBean(BaseModel):
    """
    GlobalScopeBean
    """ # noqa: E501
    attributes: Optional[List[StrictStr]] = Field(default=None, description="Defines the behavior of the option in the global context.If notSelectable is set, the option cannot be set as the field's value. This is useful for archiving an option that has previously been selected but shouldn't be used anymore.If defaultValue is set, the option is selected by default.")
    __properties: ClassVar[List[str]] = ["attributes"]

    @field_validator('attributes')
    def attributes_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        for i in value:
            if i not in set(['notSelectable', 'defaultValue']):
                raise ValueError("each list item must be one of ('notSelectable', 'defaultValue')")
        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 GlobalScopeBean 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 GlobalScopeBean from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "attributes": obj.get("attributes")
        })
        return _obj


