| :py:mod:`airflow.providers.amazon.aws.operators.aws_lambda` |
| =========================================================== |
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| .. py:module:: airflow.providers.amazon.aws.operators.aws_lambda |
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| Module Contents |
| --------------- |
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| Classes |
| ~~~~~~~ |
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| .. autoapisummary:: |
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| airflow.providers.amazon.aws.operators.aws_lambda.AwsLambdaInvokeFunctionOperator |
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| .. py:class:: AwsLambdaInvokeFunctionOperator(*, function_name, log_type = None, qualifier = None, invocation_type = None, client_context = None, payload = None, aws_conn_id = 'aws_default', **kwargs) |
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| Bases: :py:obj:`airflow.models.BaseOperator` |
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| Invokes an AWS Lambda function. |
| You can invoke a function synchronously (and wait for the response), |
| or asynchronously. |
| To invoke a function asynchronously, |
| set `invocation_type` to `Event`. For more details, |
| review the boto3 Lambda invoke docs. |
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| :param function_name: The name of the AWS Lambda function, version, or alias. |
| :param payload: The JSON string that you want to provide to your Lambda function as input. |
| :param log_type: Set to Tail to include the execution log in the response. Otherwise, set to "None". |
| :param qualifier: Specify a version or alias to invoke a published version of the function. |
| :param aws_conn_id: The AWS connection ID to use |
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| .. seealso:: |
| For more information on how to use this operator, take a look at the guide: |
| :ref:`howto/operator:AwsLambdaInvokeFunctionOperator` |
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| .. py:attribute:: template_fields |
| :annotation: :Sequence[str] = ['function_name', 'payload', 'qualifier', 'invocation_type'] |
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| .. py:attribute:: ui_color |
| :annotation: = #ff7300 |
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| .. py:method:: execute(self, context) |
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| Invokes the target AWS Lambda function from Airflow. |
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| :return: The response payload from the function, or an error object. |
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