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

@dataclass
class DashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment:
    object: str
    id: str
    is_default: bool
    provider_id: str
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
@dataclass
class DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment:
    object: str
    id: str
    is_default: bool
    provider_id: str
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
@dataclass
class DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault:
    object: str
    id: str
    status: str
    name: str
    provider_id: str
    created_at: datetime
    updated_at: datetime
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
    deployment: Optional[DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment] = None
@dataclass
class DashboardInstanceProviderDeploymentsConfigsCreateOutput:
    object: str
    id: str
    status: str
    is_default: bool
    tool_filter: Dict[str, Any]
    provider_id: str
    specification_id: str
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
    deployment: Optional[DashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment] = None
    from_vault: Optional[DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault] = None


class mapDashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment:
        return DashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment(
        object=data.get('object'),
        id=data.get('id'),
        is_default=data.get('is_default'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        provider_id=data.get('provider_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[DashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment, 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 mapDashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment:
        return DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment(
        object=data.get('object'),
        id=data.get('id'),
        is_default=data.get('is_default'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        provider_id=data.get('provider_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[DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment, 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 mapDashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault:
        return DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault(
        object=data.get('object'),
        id=data.get('id'),
        status=data.get('status'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        provider_id=data.get('provider_id'),
        deployment=mapDashboardInstanceProviderDeploymentsConfigsCreateOutputFromVaultDeployment.from_dict(data.get('deployment')) if data.get('deployment') else None,
        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[DashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault, 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 mapDashboardInstanceProviderDeploymentsConfigsCreateOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsConfigsCreateOutput:
        return DashboardInstanceProviderDeploymentsConfigsCreateOutput(
        object=data.get('object'),
        id=data.get('id'),
        status=data.get('status'),
        is_default=data.get('is_default'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        tool_filter=data.get('tool_filter'),
        provider_id=data.get('provider_id'),
        specification_id=data.get('specification_id'),
        deployment=mapDashboardInstanceProviderDeploymentsConfigsCreateOutputDeployment.from_dict(data.get('deployment')) if data.get('deployment') else None,
        from_vault=mapDashboardInstanceProviderDeploymentsConfigsCreateOutputFromVault.from_dict(data.get('from_vault')) if data.get('from_vault') else None,
        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[DashboardInstanceProviderDeploymentsConfigsCreateOutput, 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 DashboardInstanceProviderDeploymentsConfigsCreateBody:
    provider_id: str
    provider_deployment_id: Optional[str] = None
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
    tool_filters: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None
    value: Optional[Dict[str, Any]] = None
    provider_config_vault_id: Optional[str] = None


class mapDashboardInstanceProviderDeploymentsConfigsCreateBody:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsConfigsCreateBody:
        return DashboardInstanceProviderDeploymentsConfigsCreateBody(
        provider_id=data.get('provider_id'),
        provider_deployment_id=data.get('provider_deployment_id'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        tool_filters=data.get('tool_filters'),
        value=data.get('value'),
        provider_config_vault_id=data.get('provider_config_vault_id')
        )

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

