Package Exports
- serverless-wsgi
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (serverless-wsgi) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Serverless WSGI
A Serverless v1.0 plugin to build your deploy Python WSGI applications using Serverless. Compatible WSGI application frameworks include Flask, Django and Pyramids - for a complete list, see: http://wsgi.readthedocs.io/en/latest/frameworks.html.
Features
- Transparently converts API Gateway 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
Install
npm install serverless-wsgi
Add the plugin to your serverless.yml
file and set the WSGI application:
plugins:
- serverless-wsgi
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 the
module path of your Flask application.
All functions that will use WSGI need to have wsgi.handler
set as the Lambda handler and
use the lambda-proxy
integration for API Gateway.
plugins:
- serverless-wsgi
functions:
api:
handler: wsgi.handler
events:
- http:
path: cats
method: get
integration: lambda-proxy
- http:
path: dogs/{id}
method: get
integration: lambda-proxy
custom:
wsgi:
app: api.app
requirements.txt
Add Flask to the application bundle.
Flask==0.11.1
requests==2.11.1
Deployment
Simply run the serverless deploy command as usual:
$ sls deploy
Serverless: Packaging Python WSGI handler...
Serverless: Packaging required Python packages...
Serverless: Packaging service...
Serverless: Removing old service versions...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading service .zip file to S3...
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 bundle
that'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 root
of your Serverless service path:
Flask==0.11.1
For more information, see https://pip.readthedocs.io/en/1.1/requirements.html.
Local server
For convenience, a sls wsgi serve
is provided to run your WSGI application
locally. 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!