Metadata-Version: 2.1
Name: responder
Version: 0.0.1
Summary: A sorta familiar HTTP framework.
Home-page: https://github.com/kennethreitz/responder
Author: Kenneth Reitz
Author-email: me@kennethreitz.org
License: Apache 2.0
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: waitress
Requires-Dist: werkzeug
Requires-Dist: pyyaml
Requires-Dist: requests
Requires-Dist: requests-wsgi-adapter
Requires-Dist: graphene
Requires-Dist: graphql-server-core (>=1.1)
Requires-Dist: whitenoise
Requires-Dist: jinja2
Requires-Dist: parse


# Responder: a familiar 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 unnecessary 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 afterthought, 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! :)


