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

@dataclass
class ManagementInstanceSkillsPluginsSkillsUpdateOutput:
    object: str
    id: str
    identifier: str
    status: str
    skill_id: str
    created_at: datetime
    updated_at: datetime
    client_name: Optional[str] = None
    client_description: Optional[str] = None
    client_metadata: Optional[Dict[str, Any]] = None
    license: Optional[str] = None
    compatibility: Optional[str] = None
    skill_configuration_id: Optional[str] = None


class mapManagementInstanceSkillsPluginsSkillsUpdateOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementInstanceSkillsPluginsSkillsUpdateOutput:
        return ManagementInstanceSkillsPluginsSkillsUpdateOutput(
        object=data.get('object'),
        id=data.get('id'),
        identifier=data.get('identifier'),
        status=data.get('status'),
        client_name=data.get('client_name'),
        client_description=data.get('client_description'),
        client_metadata=data.get('client_metadata'),
        license=data.get('license'),
        compatibility=data.get('compatibility'),
        skill_configuration_id=data.get('skill_configuration_id'),
        skill_id=data.get('skill_id'),
        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[ManagementInstanceSkillsPluginsSkillsUpdateOutput, 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 ManagementInstanceSkillsPluginsSkillsUpdateBody:
    client_name: Optional[str] = None
    client_description: Optional[str] = None
    client_metadata: Optional[Dict[str, Any]] = None
    license: Optional[str] = None
    compatibility: Optional[str] = None
    skill_configuration_id: Optional[str] = None


class mapManagementInstanceSkillsPluginsSkillsUpdateBody:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementInstanceSkillsPluginsSkillsUpdateBody:
        return ManagementInstanceSkillsPluginsSkillsUpdateBody(
        client_name=data.get('client_name'),
        client_description=data.get('client_description'),
        client_metadata=data.get('client_metadata'),
        license=data.get('license'),
        compatibility=data.get('compatibility'),
        skill_configuration_id=data.get('skill_configuration_id')
        )

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

