docs-archive/apache-airflow-providers-amazon/4.0.0/_sources/_api/airflow/providers/amazon/aws/operators/aws_lambda/index.rst.txt

:py:mod:`airflow.providers.amazon.aws.operators.aws_lambda`
===========================================================

.. py:module:: airflow.providers.amazon.aws.operators.aws_lambda


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.amazon.aws.operators.aws_lambda.AwsLambdaInvokeFunctionOperator




.. py:class:: AwsLambdaInvokeFunctionOperator(*, function_name, log_type = None, qualifier = None, invocation_type = None, client_context = None, payload = None, aws_conn_id = 'aws_default', **kwargs)

   Bases: :py:obj:`airflow.models.BaseOperator`

   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.

   :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

   .. seealso::
       For more information on how to use this operator, take a look at the guide:
       :ref:`howto/operator:AwsLambdaInvokeFunctionOperator`


   .. py:attribute:: template_fields
      :annotation: :Sequence[str] = ['function_name', 'payload', 'qualifier', 'invocation_type']

      

   .. py:attribute:: ui_color
      :annotation: = #ff7300

      

   .. py:method:: execute(self, context)

      Invokes the target AWS Lambda function from Airflow.

      :return: The response payload from the function, or an error object.