This template demonstrates how to make a simple HTTP API with Python running on AWS Lambda and API Gateway using the Serverless Framework.
This template does not include any kind of persistence (database). For more advanced examples, check out the serverless/examples repository which includes DynamoDB, Mongo, Fauna and other examples.
$ serverless deploy
After deploying, you should see output similar to:
Serverless: Packaging service...
Serverless: Excluding development dependencies...
Serverless: Creating Stack...
Serverless: Checking Stack create progress...
........
Serverless: Stack create finished...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading artifacts...
Serverless: Uploading service aws-python-http-api.zip file to S3 (711.23 KB)...
Serverless: Validating template...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...
.................................
Serverless: Stack update finished...
Service Information
service: aws-python-http-api
stage: dev
region: us-east-1
stack: aws-python-http-api-dev
resources: 12
api keys:
None
endpoints:
ANY - https://xxxxxxx.execute-api.us-east-1.amazonaws.com/
functions:
api: aws-python-http-api-dev-hello
layers:
None
Note: In current form, after deployment, your API is public and can be invoked by anyone. For production deployments, you might want to configure an authorizer. For details on how to do that, refer to http event docs.
After successful deployment, you can call the created application via HTTP:
curl https://xxxxxxx.execute-api.us-east-1.amazonaws.com/
Which should result in response similar to the following (removed input
content for brevity):
{
"message": "Go Serverless v2.0! Your function executed successfully!",
"input": {
...
}
}
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": "{\n \"message\": \"Go Serverless v2.0! Your function executed successfully!\",\n \"input\": \"\"\n}"
}
Alternatively, it is also possible to emulate API Gateway and Lambda locally by using serverless-offline
plugin. In order to do that, execute the following command:
serverless plugin install -n serverless-offline
It will add the serverless-offline
plugin to devDependencies
in package.json
file as well as will add it to plugins
in serverless.yml
.
After installation, you can start local emulation with:
serverless offline
To learn more about the capabilities of serverless-offline
, please refer to its GitHub repository.
In case you would like to include 3rd 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.