AWS Lambda
Developer Guide

Lambda Function Handler (Python)

At the time you create a Lambda function, you specify a handler, which is a function in your code, that AWS Lambda can invoke when the service executes your code. Use the following general syntax structure when creating a handler function in Python.

def handler_name(event, context): ... return some_value

In the syntax, note the following:

  • event – AWS Lambda uses this parameter to pass in event data to the handler. This parameter is usually of the Python dict type. It can also be list, str, int, float, or NoneType type.

  • context – AWS Lambda uses this parameter to provide runtime information to your handler. This parameter is of the LambdaContext type.

  • Optionally, the handler can return a value. What happens to the returned value depends on the invocation type you use when invoking the Lambda function:

    • If you use the RequestResponse invocation type (synchronous execution), AWS Lambda returns the result of the Python function call to the client invoking the Lambda function (in the HTTP response to the invocation request, serialized into JSON). For example, AWS Lambda console uses the RequestResponse invocation type, so when you invoke the function using the console, the console will display the returned value.

      If the handler returns NONE, AWS Lambda returns null.

    • If you use the Event invocation type (asynchronous execution), the value is discarded.

For example, consider the following Python example code.

def my_handler(event, context): message = 'Hello {} {}!'.format(event['first_name'], event['last_name'])  return { 'message' : message }

This example has one function called my_handler. The function returns a message containing data from the event it received as input.

To upload and test this code as a Lambda function

  1. Save this file (for example, as

  2. Package the file and any dependencies into a .zip file. When creating the zip, include only the code and its dependencies, not the containing folder.

    For instructions, see Creating a Deployment Package (Python).

  3. Upload the .zip file using either the console or AWS CLI to create a Lambda function. You specify the function name in the Python code to be used as the handler when you create a Lambda function. For instructions to create a Lambda function using the console, see Create a Simple Lambda Function. In this example, the handler is hello_python.my_handler (file-name.function-name). Note that the Getting Started uses a blueprint that provides sample code for a Lambda function. In this case you already have a deployment package. Therefore, in the configure function step you choose to upload a zip.

    The following create-function AWS CLI command creates a Lambda function. Among other parameters, it specifies the --handler parameter to specify the handler name. Note that the --runtime parameter specifies python3.6. You can also use python2.7. For a complete description of the create-function command and its parameters, see CreateFunction

    aws lambda create-function \ --region region \ --function-name HelloPython \ --zip-file fileb:// \ --role arn:aws:iam::account-id:role/lambda_basic_execution \ --handler hello_python.my_handler \ --runtime python3.6 \ --timeout 15 \ --memory-size 512