from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Union
from datetime import datetime
import dataclasses

@dataclass
class ManagementOrganizationProjectsUpdateOutput:
    object: str
    id: str
    status: str
    slug: str
    name: str
    organization_id: str
    created_at: datetime
    updated_at: datetime


class mapManagementOrganizationProjectsUpdateOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationProjectsUpdateOutput:
        return ManagementOrganizationProjectsUpdateOutput(
        object=data.get('object'),
        id=data.get('id'),
        status=data.get('status'),
        slug=data.get('slug'),
        name=data.get('name'),
        organization_id=data.get('organization_id'),
        created_at=datetime.fromisoformat(data.get('created_at')) if data.get('created_at') else None,
        updated_at=datetime.fromisoformat(data.get('updated_at')) if data.get('updated_at') else None
        )

    @staticmethod
    def to_dict(value: Union[ManagementOrganizationProjectsUpdateOutput, Dict[str, Any], None]) -> Optional[Dict[str, Any]]:
        if value is None:
            return None
        if isinstance(value, dict):
            return value
        # assume dataclass for generated models
        return dataclasses.asdict(value)

@dataclass
class ManagementOrganizationProjectsUpdateBody:
    name: Optional[str] = None


class mapManagementOrganizationProjectsUpdateBody:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationProjectsUpdateBody:
        return ManagementOrganizationProjectsUpdateBody(
        name=data.get('name')
        )

    @staticmethod
    def to_dict(value: Union[ManagementOrganizationProjectsUpdateBody, Dict[str, Any], None]) -> Optional[Dict[str, Any]]:
        if value is None:
            return None
        if isinstance(value, dict):
            return value
        # assume dataclass for generated models
        return dataclasses.asdict(value)
