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

@dataclass
class DashboardInstanceMagicMcpTokensUpdateOutputGroups:
    object: str
    id: str
    status: str
    slug: str
    metadata: Dict[str, Any]
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
@dataclass
class DashboardInstanceMagicMcpTokensUpdateOutput:
    object: str
    id: str
    status: str
    secret: str
    groups: List[DashboardInstanceMagicMcpTokensUpdateOutputGroups]
    metadata: Dict[str, Any]
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None


class mapDashboardInstanceMagicMcpTokensUpdateOutputGroups:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceMagicMcpTokensUpdateOutputGroups:
        return DashboardInstanceMagicMcpTokensUpdateOutputGroups(
        object=data.get('object'),
        id=data.get('id'),
        status=data.get('status'),
        slug=data.get('slug'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        created_at=datetime.fromisoformat(data.get('created_at').replace('Z', '+00:00')) if data.get('created_at') else None,
        updated_at=datetime.fromisoformat(data.get('updated_at').replace('Z', '+00:00')) if data.get('updated_at') else None
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceMagicMcpTokensUpdateOutputGroups, Dict[str, Any], None]) -> Optional[Dict[str, Any]]:
        if value is None:
            return None
        if isinstance(value, dict):
            return value
        return dataclasses.asdict(value)

class mapDashboardInstanceMagicMcpTokensUpdateOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceMagicMcpTokensUpdateOutput:
        return DashboardInstanceMagicMcpTokensUpdateOutput(
        object=data.get('object'),
        id=data.get('id'),
        status=data.get('status'),
        secret=data.get('secret'),
        name=data.get('name'),
        description=data.get('description'),
        groups=[mapDashboardInstanceMagicMcpTokensUpdateOutputGroups.from_dict(item) for item in data.get('groups', []) if item],
        metadata=data.get('metadata'),
        created_at=datetime.fromisoformat(data.get('created_at').replace('Z', '+00:00')) if data.get('created_at') else None,
        updated_at=datetime.fromisoformat(data.get('updated_at').replace('Z', '+00:00')) if data.get('updated_at') else None
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceMagicMcpTokensUpdateOutput, 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 DashboardInstanceMagicMcpTokensUpdateBody:
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None


class mapDashboardInstanceMagicMcpTokensUpdateBody:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceMagicMcpTokensUpdateBody:
        return DashboardInstanceMagicMcpTokensUpdateBody(
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata')
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceMagicMcpTokensUpdateBody, 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)

