ConnsAppsConnectorDetails

class openapi_client.models.conns_apps_connector_details.ConnsAppsConnectorDetails(**data)

Bases: BaseModel

connector_name: Optional[StrictStr]

connector_id: Optional[StrictStr]

description: Optional[StrictStr]

keywords: Optional[List[StrictStr]]

lambda_handler: Optional[StrictStr]

custom_lambda_arn: Optional[StrictStr]

connector_status: Optional[StrictStr]

s3_object_key: Optional[StrictStr]

presigned_url: Optional[StrictStr]

connector_config: Optional[Dict[str, Any]]

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of ConnsAppsConnectorDetails from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ConnsAppsConnectorDetails from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'connector_config': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='ConnectorConfig', alias_priority=2), 'connector_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ConnectorId', alias_priority=2), 'connector_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ConnectorName', alias_priority=2), 'connector_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ConnectorStatus', alias_priority=2), 'custom_lambda_arn': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CustomLambdaArn', alias_priority=2), 'description': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Description', alias_priority=2), 'keywords': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Keywords', alias_priority=2), 'lambda_handler': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LambdaHandler', alias_priority=2), 'presigned_url': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PresignedUrl', alias_priority=2), 's3_object_key': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='S3ObjectKey', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None