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139 lines
5.0 KiB
ReStructuredText
139 lines
5.0 KiB
ReStructuredText
.. responder documentation master file, created by
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sphinx-quickstart on Thu Oct 11 12:58:34 2018.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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A familar HTTP Service Framework
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================================
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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.
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But will it blend?
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------------------
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::
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import responder
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api = responder.API()
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@api.route("/{greeting}")
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def greet_world(req, resp, *, greeting):
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resp.text = f"{greeting}, world!"
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if __name__ == '__main__':
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api.run()
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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.
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-------------
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Class-based views (and setting some headers and stuff)::
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@api.route("/{greeting}")
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class GreetingResource:
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def on_request(req, resp, *, greeting): # or on_get...
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resp.text = f"{greeting}, world!"
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resp.headers.update({'X-Life': '42'})
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resp.status_code = api.status_codes.HTTP_416
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Render a template, with arguments::
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@api.route("/{greeting}")
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def greet_world(req, resp, *, greeting):
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resp.content = api.template("index.html", greeting=greeting)
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The ``api`` instance is available as an object during template rendering.
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Serve a GraphQL API::
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import graphene
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class Query(graphene.ObjectType):
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hello = graphene.String(name=graphene.String(default_value="stranger"))
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def resolve_hello(self, info, name):
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return "Hello " + name
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api.add_route("/graph", graphene.Schema(query=Query))
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We can then send a query to our service::
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>>> requests = api.session()
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>>> r = requests.get("http://;/graph", params={"query": "{ hello }"})
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>>> r.json()
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{'data': {'hello': 'Hello stranger'}}
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Or, request YAML back::
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>>> r = requests.get("http://;/graph", params={"query": "{ hello(name:\"john\") }"}, headers={"Accept": "application/x-yaml"})
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>>> print(r.text)
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data: {hello: Hello john}
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Want HSTS?
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::
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api = responder.API(enable_hsts=True)
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Boom. ✨🍰✨
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The Basic Idea
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--------------
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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.
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- Setting `resp.text` sends back unicode, while setting `resp.content` sends back bytes.
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- Setting `resp.media` sends back JSON/YAML (`.text`/`.content` override this).
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- Case-insensitive `req.headers` dict (from Requests directly).
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- `resp.status_code`, `req.method`, `req.url`, and other familar friends.
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New Ideas
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---------
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- **A built in testing client that uses the actual Requests you know and love**.
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- The ability to mount other WSGI apps easily.
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- Automatic gzipped-responses (still working on that).
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- 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.
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- WhiteNoise is built-in, for serving static files.
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- 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.
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- GraphQL support, via Graphene. The goal here is to have any GraphQL query exposable at any route, magically.
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Old Ideas
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---------
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- 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.
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- 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.
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Future Ideas
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------------
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- I want to be able to "mount" any WSGI app into a sub-route.
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- Cooke-based sessions are currently an afterthrought, as this is an API framework, but websites are APIs too.
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- 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.
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- If frontend websites are supported, provide an official way to run webpack.
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When can I use it?
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------------------
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When it's ready. It's not. I started work on this a few days ago. It works surprisingly well, considering! :)
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Indices and tables
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==================
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* :ref:`genindex`
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* :ref:`modindex`
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* :ref:`search`
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