snowflake.core.notification_integration.NotificationQueueAwsSnsOutbound¶

class snowflake.core.notification_integration.NotificationQueueAwsSnsOutbound(*, aws_sns_topic_arn: Annotated[str, Strict(strict=True)] | None = None, aws_sns_role_arn: Annotated[str, Strict(strict=True)] | None = None, sf_aws_iam_user_arn: Annotated[str, Strict(strict=True)] | None = None, sf_aws_external_id: Annotated[str, Strict(strict=True)] | None = None)¶

Bases: NotificationHook

A model object representing the NotificationQueueAwsSnsOutbound resource.

Constructs an object of type NotificationQueueAwsSnsOutbound with the provided properties.

Parameters:

• aws_sns_topic_arn (str, optional) – Amazon Resource Name (ARN) of the Amazon SNS (SNS) topic to which notifications are pushed.

• aws_sns_role_arn (str, optional) – ARN of the IAM role that has permissions to publish messages to the SNS topic.

• sf_aws_iam_user_arn (str, optional) – ARN for the Snowflake IAM user created for your account.

• sf_aws_external_id (str, optional) – External ID for the Snowflake IAM user created for your account.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

classmethod from_dict(obj: dict) → NotificationQueueAwsSnsOutbound¶

Create an instance of NotificationQueueAwsSnsOutbound from a dict.

classmethod from_json(json_str: str) → NotificationQueueAwsSnsOutbound¶

Create an instance of NotificationQueueAwsSnsOutbound from a JSON string.

to_dict(hide_readonly_properties: bool = False) → Dict[str, Any]¶

Returns the dictionary representation of the model using alias.

to_dict_without_readonly_properties() → Dict[str, Any]¶

Return the dictionary representation of the model without readonly properties.

to_json() → str¶

Returns the JSON representation of the model using alias.

to_str() → str¶

Returns the string representation of the model using alias.