Serverless Framework AWS Python Example

This template demonstrates how to deploy a Python function running on AWS Lambda using the traditional Serverless Framework. The deployed function does not include any event definitions as well as any kind of persistence (database). For more advanced configurations check out the examples repo which includes integrations with SQS, DynamoDB or examples of functions that are triggered in cron-like manner. For details about configuration of specific events, please refer to our documentation.

Usage

Deployment

In order to deploy the example, you need to run the following command:

$ serverless deploy

After running deploy, you should see output similar to:

Deploying aws-python-project to stage dev (us-east-1)

✔ Service deployed to stack aws-python-project-dev (112s)

functions:
  hello: aws-python-project-dev-hello (1.5 kB)

Invocation

After successful deployment, you can invoke the deployed function by using the following command:

serverless invoke --function hello

Which should result in response similar to the following:

{
    "statusCode": 200,
    "body": "{\"message\": \"Go Serverless v3.0! Your function executed successfully!\", \"input\": {}}"
}

Local development

You can invoke your function locally by using the following command:

serverless invoke local --function hello

Which should result in response similar to the following:

{
    "statusCode": 200,
    "body": "{\"message\": \"Go Serverless v3.0! Your function executed successfully!\", \"input\": {}}"
}

Bundling dependencies

In case you would like to include third-party dependencies, you will need to use a plugin called serverless-python-requirements. You can set it up by running the following command:

serverless plugin install -n serverless-python-requirements

Running the above will automatically add serverless-python-requirements to plugins section in your serverless.yml file and add it as a devDependency to package.json file. The package.json file will be automatically created if it doesn't exist beforehand. Now you will be able to add your dependencies to requirements.txt file (Pipfile and pyproject.toml is also supported but requires additional configuration) and they will be automatically injected to Lambda package during build process. For more details about the plugin's configuration, please refer to official documentation.