A Serverless Framework plugin to build your deploy Python WSGI applications using Serverless. CompatibleWSGI application frameworks include Flask, Django and Pyramid - for a complete list, see:http://wsgi.readthedocs.io/en/latest/frameworks.html.

Features

• Transparently converts API Gateway and ALB requests to and from standard WSGI requests
• Supports anything you'd expect from WSGI such as redirects, cookies, file uploads etc.
• Automatically downloads Python packages that you specify in requirements.txt and deploys them along with your application
• Convenient wsgi serve command for serving your application locally during development
• Includes CLI commands for remote execution of Python code (wsgi exec), shell commands (wsgi command), Flask CLI commands (wsgi flask) and Django management commands (wsgi manage)
• Supports both APIGatewayV1 and APIGatewayV2 payloads

Install

sls plugin install -n serverless-wsgi

This will automatically add the plugin to package.json and the plugins section of serverless.yml.

Flask configuration example

This example assumes that you have intialized your application as app inside api.py.

project
├── api.py
├── requirements.txt
└── serverless.yml

api.py

A regular Flask application.

from flask import Flask
app = Flask(__name__)


@app.route("/cats")
def cats():
    return "Cats"


@app.route("/dogs/<id>")
def dog(id):
    return "Dog"

serverless.yml

Load the plugin and set the custom.wsgi.app configuration in serverless.yml to themodule path of your Flask application.

All functions that will use WSGI need to have wsgi_handler.handler set as the Lambda handler anduse the default lambda-proxy integration for API Gateway. This configuration example treatsAPI Gateway as a transparent proxy, passing all requests directly to your Flask application,and letting the application handle errors, 404s etc.

Note: The WSGI handler was called wsgi.handler earlier, but was renamed to wsgi_handler.handlerin 1.7.0. The old name is still supported but using it will cause a deprecation warning.

service: example

provider:
  name: aws
  runtime: python3.6

plugins:
  - serverless-wsgi

functions:
  api:
    handler: wsgi_handler.handler
    events:
      - http: ANY /
      - http: ANY /{proxy+}

custom:
  wsgi:
    app: api.app

requirements.txt

Add Flask to the application bundle.

Flask==1.0.2

Deployment

Simply run the serverless deploy command as usual:

$ sls deploy
Serverless: Using Python specified in "runtime": python3.6
Serverless: Packaging Python WSGI handler...
Serverless: Packaging required Python packages...
Serverless: Linking required Python packages...
Serverless: Packaging service...
Serverless: Excluding development dependencies...
Serverless: Unlinking required Python packages...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading artifacts...
Serverless: Uploading service .zip file to S3 (864.57 KB)...
Serverless: Validating template...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...
..............
Serverless: Stack update finished...

Other frameworks

Set custom.wsgi.app in serverless.yml according to your WSGI callable:

• For Pyramid, use make_wsgi_app to intialize the callable
• Django is configured for WSGI by default, set the callable to <project_name>.wsgi.application. See https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/ for more information.

Usage

Automatic requirement packaging

You'll need to include any packages that your application uses in the bundlethat's deployed to AWS Lambda. This plugin helps you out by doing this automatically,as long as you specify your required packages in a requirements.txt file in the rootof your Serverless service path:

Flask==1.0.2
requests==2.21.0

For more information, see https://pip.pypa.io/en/latest/user_guide/#requirements-files.

The serverless-wsgi plugin itself depends on werkzeug and will package it automatically,even if werkzeug is not present in your requirements.txt.

You can use the requirement packaging functionality of serverless-wsgi without the WSGIhandler itself by including the plugin in your serverless.yml configuration, without specifyingthe custom.wsgi.app setting. This will omit the WSGI handler from the package, but includeany requirements specified in requirements.txt.

If you don't want to use automatic requirement packaging you can set custom.wsgi.packRequirements to false:

custom:
  wsgi:
    app: api.app
    packRequirements: false

In order to pass additional arguments to pip when installing requirements, the pipArgs configurationoption is available:

custom:
  wsgi:
    app: api.app
    pipArgs: --no-deps

For a more advanced approach to packaging requirements, consider using https://github.com/UnitedIncome/serverless-python-requirements.When the serverless-python-requirements is added to serverless.yml, the packRequirements optionis set to false by default.

If you have packRequirements set to false, or if you use serverless-python-requirements, remember to addwerkzeug explicitly in your requirements.txt.

Python version

Python is used for packaging requirements and serving the app when invoking sls wsgi serve. Bydefault, the current runtime setting is expected to be the name of the Python binary in PATH,for instance python3.6. If this is not the name of your Python binary, override it using thepythonBin option:

custom:
  wsgi:
    app: api.app
    pythonBin: python3

Local server

For convenience, a sls wsgi serve command is provided to run your WSGI applicationlocally. This command requires the werkzeug Python package to be installed,and acts as a simple wrapper for starting werkzeug's built-in HTTP server.

By default, the server will start on port 5000.

$ sls wsgi serve
 * Running on http://localhost:5000/ (Press CTRL+C to quit)
 * Restarting with stat
 * Debugger is active!

Configure the port using the -p parameter:

$ sls wsgi serve -p 8000
 * Running on http://localhost:8000/ (Press CTRL+C to quit)
 * Restarting with stat
 * Debugger is active!

When running locally, an environment variable named IS_OFFLINE will be set to True.So, if you want to know when the application is running locally, check os.environ["IS_OFFLINE"].

Remote command execution

The wsgi exec command lets you execute Python code remotely:

$ sls wsgi exec -c "import math; print((1 + math.sqrt(5)) / 2)"
1.618033988749895

$ cat count.py
for i in range(3):
    print(i)

$ sls wsgi exec -f count.py
0
1
2

The wsgi command command lets you execute shell commands remotely:

$ sls wsgi command -c "pwd"
/var/task

$ cat script.sh
#!/bin/bash
echo "dlrow olleh" | rev

$ sls wsgi command -f script.sh
hello world

The wsgi flask command lets you execute Flask CLI custom commands remotely:

$ sls wsgi flask -c "my command"
Hello world!

The wsgi manage command lets you execute Django management commands remotely:

$ sls wsgi manage -c "check --list-tags"
admin
caches
database
models
staticfiles
templates
urls

All commands have local equivalents that let you run commands through sls invoke local ratherthan sls invoke, i.e. on the local machine instead of through Lambda. The local commands (sls wsgi command local,sls wsgi exec local, sls wsgi flask local and sls wsgi manage local) take the same argumentsas their remote counterparts documented above.

Explicit routes

If you'd like to be explicit about which routes and HTTP methods should pass through to yourapplication, see the following example:

service: example

provider:
  name: aws
  runtime: python3.6

plugins:
  - serverless-wsgi

functions:
  api:
    handler: wsgi_handler.handler
    events:
      - http:
          path: cats
          method: get
          integration: lambda-proxy
      - http:
          path: dogs/{id}
          method: get
          integration: lambda-proxy

custom:
  wsgi:
    app: api.app

Custom domain names

If you use custom domain names with API Gateway, you might have a base path that isat the beginning of your path, such as the stage (/dev, /stage, /prod). In this case, setthe API_GATEWAY_BASE_PATH environment variable to let serverless-wsgi know.E.g, if you deploy your WSGI application to https://mydomain.com/api/myservice,set API_GATEWAY_BASE_PATH to api/myservice (no / first).

The example below uses the serverless-domain-managerplugin to handle custom domains in API Gateway:

service: example

provider:
  name: aws
  runtime: python3.6
  environment:
    API_GATEWAY_BASE_PATH: ${self:custom.customDomain.basePath}

plugins:
  - serverless-wsgi
  - serverless-domain-manager

functions:
  api:
    handler: wsgi_handler.handler
    events:
      - http: ANY /
      - http: ANY {proxy+}

custom:
  wsgi:
    app: api.app
  customDomain:
    basePath: ${opt:stage}
    domainName: mydomain.name.com
    stage: ${opt:stage}
    createRoute53Record: true

Note: The API_GATEWAY_BASE_PATH configuration is only needed when using the payload V1. In the V2, the path does not have the basePath in the beginning.

Using CloudFront

If you're configuring CloudFront manually in front of your API and settingthe Path in the CloudFront Origin to include your stage name, you'll needto strip it out from the path supplied to WSGI. This is so that your appdoesn't generate URLs starting with /production.

Pass the STRIP_STAGE_PATH=yes environment variable to your applicationto set this:

service: example

provider:
  name: aws
  runtime: python3.6
  environment:
    STRIP_STAGE_PATH: yes

File uploads

In order to accept file uploads from HTML forms, make sure to add multipart/form-data tothe list of content types with Binary Support in your API Gateway API. Theserverless-apigw-binaryServerless plugin can be used to automate this process.

Keep in mind that, when building Serverless applications, uploadingdirectly to S3from the browser is usually the preferred approach.

Raw context and event

The raw context and event from AWS Lambda are both accessible through the WSGIrequest. The following example shows how to access them when using Flask:

from flask import Flask, request
app = Flask(__name__)


@app.route("/")
def index():
    print(request.environ['serverless.context'])
    print(request.environ['serverless.event'])

For more information on these objects, read the documentation on eventsand the invocation context.

Text MIME types

By default, all MIME types starting with text/ and the following whitelist are sentthrough API Gateway in plain text. All other MIME types will have their response bodybase64 encoded (and the isBase64Encoded API Gateway flag set) in order to bedelivered by API Gateway as binary data (remember to add any binary MIME types thatyou're using to the Binary Support list in API Gateway).

This is the default whitelist of plain text MIME types:

• application/json
• application/javascript
• application/xml
• application/vnd.api+json
• image/svg+xml

In order to add additional plain text MIME types to this whitelist, use thetextMimeTypes configuration option:

custom:
  wsgi:
    app: api.app
    textMimeTypes:
      - application/custom+json
      - application/vnd.company+json

Preventing cold starts

Common ways to keep lambda functions warm include scheduled eventsand the WarmUP plugin. Both these event sourcesare supported by default and will be ignored by serverless-wsgi.

Alternative directory structure

If you have several functions in serverless.yml and want to organize them indirectories, e.g.:

project
├── web
│   ├── api.py
│   └── requirements.txt
├── serverless.yml
└── another_function.py

In this case, tell serverless-wsgi where to find the handler by prepending thedirectory:

service: example

provider:
  name: aws
  runtime: python3.6

plugins:
  - serverless-wsgi

functions:
  api:
    handler: wsgi_handler.handler
    events:
      - http: ANY /
      - http: ANY {proxy+}

  another_function:
    handler: another_function.handler

custom:
  wsgi:
    app: web/api.app

Requirements will now be installed into web/, rather than at in the service root directory.

The same rule applies when using the individually: true flag in the package settings, togetherwith the module option provided by serverless-python-requirements. In that case, both the requirementsand the WSGI handler will be installed into web/, if the function is configured with module: "web".

Usage without Serverless

The AWS API Gateway to WSGI mapping module is available on PyPI in theserverless-wsgi package.

Use this package if you need to deploy Python Lambda functions to handleAPI Gateway events directly, without using the Serverless framework.

pip install serverless-wsgi

Initialize your WSGI application and in your Lambda event handler, callthe request mapper:

import app  # Replace with your actual application
import serverless_wsgi

# If you need to send additional content types as text, add then directly
# to the whitelist:
#
# serverless_wsgi.TEXT_MIME_TYPES.append("application/custom+json")

def handler(event, context):
    return serverless_wsgi.handle_request(app.app, event, context)

Thanks

Thanks to Zappa, which has been both theinspiration and source of several implementations that went into this project.

Thanks to chalice for therequirement packaging implementation.