# Responder: a familar HTTP Service Framework for Python ![](https://github.com/kennethreitz/responder/raw/master/ext/Artboard%201%402x.png) The Python world certainly doesn't need more web frameworks. But, it does need more creativity, so I thought I'd bring some of my ideas to the table and see what I could come up with. ## But will it blend? ```python import responder api = responder.API() @api.route("/{greeting}") def greet_world(req, resp, *, greeting): resp.text = f"{greeting}, world!" if __name__ == '__main__': api.run() ``` This gets you a WSGI app, with WhiteNoise pre-installed, jinja2 templating (without additional imports), and a production webserver (ready for slowloris attacks), serving up requests with gzip compression automatically. Class-based views (and setting some headers and stuff): ```python @api.route("/{greeting}") class GreetingResource: def on_request(req, resp, *, greeting): # or on_get... resp.text = f"{greeting}, world!" resp.headers.update({'X-Life': '42'}) resp.status_code = api.status_codes.HTTP_416 ``` Render a template, with arguments: ```python @api.route("/{greeting}") def greet_world(req, resp, *, greeting): resp.content = api.template("index.html", greeting=greeting) ``` The `api` instance is available as an object during template rendering. Serve a GraphQL API: ```python import graphene class Query(graphene.ObjectType): hello = graphene.String(name=graphene.String(default_value="stranger")) def resolve_hello(self, info, name): return "Hello " + name api.add_route("/graph", graphene.Schema(query=Query)) ``` We can then send a query to our service: ```pycon >>> requests = api.session() >>> r = requests.get("http://;/graph", params={"query": "{ hello }"}) >>> r.json() {'data': {'hello': 'Hello stranger'}} ``` Or, request YAML back: ```pycon >>> r = requests.get("http://;/graph", params={"query": "{ hello(name:\"john\") }"}, headers={"Accept": "application/x-yaml"}) >>> print(r.text) data: {hello: Hello john} ``` Want HSTS? ``` api = responder.API(enable_hsts=True) ``` Boom. ✨🍰✨ # The Basic Idea The primary concept here is to bring the nicities that are brought forth from both Flask and Falcon and unify them into a single framework, along with some new ideas I have. I also wanted to take some of the API primitives that are instilled in the Requests library and put them into a web framework. So, you'll find a lot of parallels here with Requests. - Setting `resp.text` sends back unicode, while setting `resp.content` sends back bytes. - Setting `resp.media` sends back JSON/YAML (`.text`/`.content` override this). - Case-insensitive `req.headers` dict (from Requests directly). - `resp.status_code`, `req.method`, `req.url`, and other familar friends. ## New Ideas - **A built in testing client that uses the actual Requests you know and love**. - The ability to mount other WSGI apps easily. - Automatic gzipped-responses (still working on that). - In addition to Falcon's `on_get`, `on_post`, etc methods, Responder features an `on_request` method, which gets called on every type of request, much like Requests. - WhiteNoise is built-in, for serving static files. - Waitress built-in as a production web server. I would have chosen Gunicorn, but it doesn't run on Windows. Plus, Waitress serves well to protect against slowloris attacks, making nginx unneccessary in production. - GraphQL support, via Graphene. The goal here is to have any GraphQL query exposable at any route, magically. ## Old Ideas - Flask-style route expression, with new capabilities -- primarily, the ability to cast a parameter to integers as well as other types that are missing from Flask, all while using Python 3.6+'s new f-string syntax. - I love Falcon's "every request and response is passed into to each view and mutated" methodology, especially `response.media`, and have used it here. In addition to supporting JSON, I have decided to support YAML as well, as Kubernetes is slowly taking over the world, and it uses YAML for all the things. Content-negotiation and all that. ## Future Ideas - I want to be able to "mount" any WSGI app into a sub-route. - Cooke-based sessions are currently an afterthrought, as this is an API framework, but websites are APIs too. - Potentially support ASGI instead of WSGI. Will the tradeoffs be worth it? This is a question to ask. Procedural code works well for 90% use cases. - If frontend websites are supported, provide an official way to run webpack. # The Goal The primary goal here is to learn, not to get adoption. Though, who knows how these things will pan out. # When can I use it? When it's ready. It's not. I started work on this a few days ago. It works surprisingly well, considering! :)