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

@dataclass
class ManagementOrganizationTeamsRolesListOutputItems:
    object: str
    id: str
    organization_id: str
    name: str
    slug: str
    permissions: List[str]
    created_at: datetime
    updated_at: datetime
    description: Optional[str] = None
@dataclass
class ManagementOrganizationTeamsRolesListOutputPagination:
    has_more_before: bool
    has_more_after: bool
@dataclass
class ManagementOrganizationTeamsRolesListOutput:
    items: List[ManagementOrganizationTeamsRolesListOutputItems]
    pagination: ManagementOrganizationTeamsRolesListOutputPagination


class mapManagementOrganizationTeamsRolesListOutputItems:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationTeamsRolesListOutputItems:
        return ManagementOrganizationTeamsRolesListOutputItems(
        object=data.get('object'),
        id=data.get('id'),
        organization_id=data.get('organization_id'),
        name=data.get('name'),
        slug=data.get('slug'),
        description=data.get('description'),
        permissions=data.get('permissions', []),
        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[ManagementOrganizationTeamsRolesListOutputItems, 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 mapManagementOrganizationTeamsRolesListOutputPagination:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationTeamsRolesListOutputPagination:
        return ManagementOrganizationTeamsRolesListOutputPagination(
        has_more_before=data.get('has_more_before'),
        has_more_after=data.get('has_more_after')
        )

    @staticmethod
    def to_dict(value: Union[ManagementOrganizationTeamsRolesListOutputPagination, 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 mapManagementOrganizationTeamsRolesListOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationTeamsRolesListOutput:
        return ManagementOrganizationTeamsRolesListOutput(
        items=[mapManagementOrganizationTeamsRolesListOutputItems.from_dict(item) for item in data.get('items', []) if item],
        pagination=mapManagementOrganizationTeamsRolesListOutputPagination.from_dict(data.get('pagination')) if data.get('pagination') else None
        )

    @staticmethod
    def to_dict(value: Union[ManagementOrganizationTeamsRolesListOutput, 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 ManagementOrganizationTeamsRolesListQuery:
    limit: Optional[float] = None
    after: Optional[str] = None
    before: Optional[str] = None
    cursor: Optional[str] = None
    order: Optional[str] = None


class mapManagementOrganizationTeamsRolesListQuery:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> ManagementOrganizationTeamsRolesListQuery:
        return ManagementOrganizationTeamsRolesListQuery(
        limit=data.get('limit'),
        after=data.get('after'),
        before=data.get('before'),
        cursor=data.get('cursor'),
        order=data.get('order')
        )

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