Source code for airflow.providers.amazon.aws.operators.lambda_function

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from __future__ import annotations

import json
from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.lambda_function import LambdaHook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class AwsLambdaInvokeFunctionOperator(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` """
[docs] template_fields: Sequence[str] = ("function_name", "payload", "qualifier", "invocation_type")
[docs] ui_color = "#ff7300"
def __init__( self, *, function_name: str, log_type: str | None = None, qualifier: str | None = None, invocation_type: str | None = None, client_context: str | None = None, payload: str | None = None, aws_conn_id: str = "aws_default", **kwargs, ): super().__init__(**kwargs) self.function_name = function_name self.payload = payload self.log_type = log_type self.qualifier = qualifier self.invocation_type = invocation_type self.client_context = client_context self.aws_conn_id = aws_conn_id
[docs] def execute(self, context: Context): """ Invokes the target AWS Lambda function from Airflow. :return: The response payload from the function, or an error object. """ hook = LambdaHook(aws_conn_id=self.aws_conn_id) success_status_codes = [200, 202, 204] self.log.info("Invoking AWS Lambda function: %s with payload: %s", self.function_name, self.payload) response = hook.invoke_lambda( function_name=self.function_name, invocation_type=self.invocation_type, log_type=self.log_type, client_context=self.client_context, payload=self.payload, qualifier=self.qualifier, ) self.log.info("Lambda response metadata: %r", response.get("ResponseMetadata")) if response.get("StatusCode") not in success_status_codes: raise ValueError("Lambda function did not execute", json.dumps(response.get("ResponseMetadata"))) payload_stream = response.get("Payload") payload = payload_stream.read().decode() if "FunctionError" in response: raise ValueError( "Lambda function execution resulted in error", {"ResponseMetadata": response.get("ResponseMetadata"), "Payload": payload}, ) self.log.info("Lambda function invocation succeeded: %r", response.get("ResponseMetadata")) return payload

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