# coding: utf-8

"""
    Cyberwave API

    Cyberwave platform REST API. Use 'Bearer YOUR_TOKEN' for authentication.

    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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from cyberwave.rest.models.organization_schema import OrganizationSchema
from cyberwave.rest.models.plan_schema import PlanSchema
from cyberwave.rest.models.workspace_schema import WorkspaceSchema
from typing import Optional, Set
from typing_extensions import Self

class WorkspaceResponseSchema(BaseModel):
    """
    WorkspaceResponseSchema
    """ # noqa: E501
    team: WorkspaceSchema
    description: StrictStr
    slug: StrictStr
    owner: Optional[StrictBool] = False
    organization: OrganizationSchema
    plan: PlanSchema
    __properties: ClassVar[List[str]] = ["team", "description", "slug", "owner", "organization", "plan"]

    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 WorkspaceResponseSchema 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,
        )
        # override the default output from pydantic by calling `to_dict()` of team
        if self.team:
            _dict['team'] = self.team.to_dict()
        # override the default output from pydantic by calling `to_dict()` of organization
        if self.organization:
            _dict['organization'] = self.organization.to_dict()
        # override the default output from pydantic by calling `to_dict()` of plan
        if self.plan:
            _dict['plan'] = self.plan.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "team": WorkspaceSchema.from_dict(obj["team"]) if obj.get("team") is not None else None,
            "description": obj.get("description"),
            "slug": obj.get("slug"),
            "owner": obj.get("owner") if obj.get("owner") is not None else False,
            "organization": OrganizationSchema.from_dict(obj["organization"]) if obj.get("organization") is not None else None,
            "plan": PlanSchema.from_dict(obj["plan"]) if obj.get("plan") is not None else None
        })
        return _obj


