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

@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment:
    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 DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials:
    object: str
    id: str
    type: str
    status: str
    is_default: bool
    is_managed: bool
    provider_id: str
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
    scopes: Optional[List[str]] = None
@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema:
    type: str
    schema: Dict[str, Any]
@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema:
    type: str
    schema: Dict[str, Any]
@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes:
    object: str
    id: str
    scope: str
    name: str
    description: Optional[str] = None
@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod:
    object: str
    id: str
    type: str
    key: str
    name: str
    capabilities: Dict[str, Any]
    provider_id: str
    provider_specification_id: str
    created_at: datetime
    updated_at: datetime
    description: Optional[str] = None
    input_schema: Optional[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema] = None
    output_schema: Optional[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema] = None
    scopes: Optional[List[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes]] = None
@dataclass
class DashboardInstanceProviderDeploymentsAuthConfigsCreateOutput:
    object: str
    id: str
    type: str
    source: str
    status: str
    is_default: bool
    provider_id: str
    tool_filter: Dict[str, Any]
    auth_method: DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod
    created_at: datetime
    updated_at: datetime
    name: Optional[str] = None
    description: Optional[str] = None
    metadata: Optional[Dict[str, Any]] = None
    deployment: Optional[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment] = None
    credentials: Optional[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials] = None


class mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment(
        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[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials(
        object=data.get('object'),
        id=data.get('id'),
        type=data.get('type'),
        status=data.get('status'),
        is_default=data.get('is_default'),
        is_managed=data.get('is_managed'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        scopes=data.get('scopes', []),
        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[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema(
        type=data.get('type'),
        schema=data.get('schema')
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema(
        type=data.get('type'),
        schema=data.get('schema')
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes(
        object=data.get('object'),
        id=data.get('id'),
        scope=data.get('scope'),
        name=data.get('name'),
        description=data.get('description')
        )

    @staticmethod
    def to_dict(value: Union[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod(
        object=data.get('object'),
        id=data.get('id'),
        type=data.get('type'),
        key=data.get('key'),
        name=data.get('name'),
        description=data.get('description'),
        capabilities=data.get('capabilities'),
        input_schema=mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodInputSchema.from_dict(data.get('input_schema')) if data.get('input_schema') else None,
        output_schema=mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodOutputSchema.from_dict(data.get('output_schema')) if data.get('output_schema') else None,
        scopes=[mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethodScopes.from_dict(item) for item in data.get('scopes', []) if item],
        provider_id=data.get('provider_id'),
        provider_specification_id=data.get('provider_specification_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[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod, 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 mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutput:
    @staticmethod
    def from_dict(data: Dict[str, Any]) -> DashboardInstanceProviderDeploymentsAuthConfigsCreateOutput:
        return DashboardInstanceProviderDeploymentsAuthConfigsCreateOutput(
        object=data.get('object'),
        id=data.get('id'),
        type=data.get('type'),
        source=data.get('source'),
        status=data.get('status'),
        is_default=data.get('is_default'),
        provider_id=data.get('provider_id'),
        name=data.get('name'),
        description=data.get('description'),
        metadata=data.get('metadata'),
        tool_filter=data.get('tool_filter'),
        deployment=mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputDeployment.from_dict(data.get('deployment')) if data.get('deployment') else None,
        credentials=mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputCredentials.from_dict(data.get('credentials')) if data.get('credentials') else None,
        auth_method=mapDashboardInstanceProviderDeploymentsAuthConfigsCreateOutputAuthMethod.from_dict(data.get('auth_method')) if data.get('auth_method') 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[DashboardInstanceProviderDeploymentsAuthConfigsCreateOutput, 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 DashboardInstanceProviderDeploymentsAuthConfigsCreateBody:
    provider_auth_method_id: str
    value: Dict[str, Any]
    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
    provider_deployment_id: Optional[str] = None


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

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

