issue_comments

I wrote about this on my blog: https://simonwillison.net/2019/Jun/23/datasette-asgi/

It's alive! Here's the first deployed version: https://a559123.datasette.io/

You can confirm it's running under ASGI by viewing https://a559123.datasette.io/-/versions and looking for the "asgi" key.

Compare to the last version of master running on Sanic here: http://aa91112.datasette.io/

And now the tests are all passing!

Still to do:

• Use raw_path so table names containing / can work correctly
• Get ?_trace=1 working again
• Replacement for @app.listener("before_server_start")
• Replace Sanic request object with my own request class, so I can remove Sanic dependency

I'm going to move the remaining work into a pull request.

OK, it's beginning to shape up now. Next steps:

• [x] Static file support (including for plugins) - plus tests
• [x] Streaming support so the CSV tests will pass
• [x] Ability to download the database file
• [x] Implement missing-slash redirects

Tests are failing on Python 3.5: https://travis-ci.org/simonw/datasette/jobs/549380098 - error is TypeError: the JSON object must be str, not 'bytes'

I also need to actually take advantage of raw_path such that pages like https://fivethirtyeight.datasettes.com/fivethirtyeight/twitter-ratio%2Fsenators can be correctly served.

All of the tests are now passing!

I still need a solution for this:

https://github.com/simonw/datasette/blob/5bd510b01adae3f719e4426b9bfbc346a946ba5c/datasette/app.py#L706-L714

I think the answer is ASGI lifespan, which is supported by Uvicorn. https://asgi.readthedocs.io/en/latest/specs/lifespan.html#startup

Next test to fix (because by new test harness doesn't actually obey the allow_redirects= parameter): ``` ___ test_database_page_redirects_with_url_hash _____

app_client_with_hash = <tests.fixtures.TestClient object at 0x10981f240>

def test_database_page_redirects_with_url_hash(app_client_with_hash):
    response = app_client_with_hash.get("/fixtures", allow_redirects=False)
    assert response.status == 302
    response = app_client_with_hash.get("/fixtures")

  assert "fixtures" in response.text

E AssertionError: assert 'fixtures' in '' E + where '' = <tests.fixtures.TestResponse object at 0x10981f550>.text ```

CSV tests all pass as of https://github.com/simonw/datasette/commit/ff9efa668ebc33f17ef9b30139960e29906a18fb

This code could be a lot neater though. At the very least I'm going to refactor datasette/utils.py into a datasette/utils package and put all of my new ASGI utilities in datasette/utils/asgi.py

The way I implemented streaming on top of a writer object (inspired by Sanic) is a bit of a weird hack. I think I'd rather use an abstraction where my view functions can yield chunks of body data.

Published an in-progress demo:

datasette publish now fixtures.db -n datasette-asgi-early-demo --branch=asgi

Here it is: https://datasette-asgi-early-demo-qahhxctqpw.now.sh/

Lots still to do:

• Static files are not being served
• Streaming CSV files don't work
• Tests all fail
• Some URLs (e.g. the 'next' link on tables) are incorrect

I'm going to work on getting the unit test framework to be ASGI-compatible next.

Getting this to work with both Sanic AND ASGI at the same time (via the classes described previously with an --asgi command-line option) is proving way trickier than I expected, mainly because of the complexity of the current Datasette.app() method.

I'm going to drop the compatibility path for a bit and see if I can make progress on a pure-ASGI port.

I need to be able to define the URL routes once and have them work for both Sanic and ASGI.

I'm going to extract the web application bits out of the Datasette class into a DatasetteServer class. Then I can have a add_route() method on that class, then have DatasetteSanic and DatasetteAsgi subclasses which redefine that method.

OK, time for a solid implementation plan.

As soon as https://github.com/django/asgiref/pull/92 is merged (hopefully very soon) the ASGI spec will have support for an optional raw_path - which means we can continue to use table%2Fnames with embedded / without being unable to tell if a path has been decoded or not.

Steps to implement:

Refactor classes, then add .asgi() method to BaseView

Add a .asgi(self, scope, receive, send) method to my base view class. This will expose an ASGI interface to the outside world: the method itself will construct a request object and call the existing .get() method.

My only true shared base class is actually RenderMixin because the IndexView doesn't extend BaseView. I'm going to refactor the class hierarchy a bit here - AsgiView will be my top level class with the .asgi() method on it. RenderMixin will be renamed BaseView(AsgiView), while existing BaseView will be renamed DataView(BaseView) since it mainly exists to introduce the handy .data() abstraction.

So...

• AsgiView - has .asgi() method, extends Sanic HTTPMethodView (for the moment)
• BaseView(AsgiView) - defines utility methods currently on RenderMixin
• IndexView(BaseView) - the current IndexView
• DataView(BaseView) - defines the utilities currently on BaseView, including data()
• Everything else subclasses DataView

Extract routing logic out into a new DatasetteView

I considered calling this RouteView, but one of the goals of this project is to allow other ASGI apps to import Datasette itself and reuse it as its own ASGI function.

So DatasetteView will subclass BaseView and will do all of the routing logic. That logic currently lives here:

https://github.com/simonw/datasette/blob/aa911122feab13f8e65875c98edb00fd3832b7b8/datasette/app.py#L594-L640

For tests: Implement a version of app_client.get() that calls ASGI instead

Almost all of the unit tests currently use app_client.get("/path..."). I want to be able to run tests against both ASGI and existing-Sanic, so for the moment I'm going to teach app_client.get() to use ASGI instead but only in the presence of a new environment variable. I can then have Travis run the tests twice - once with that environement variable and once without.

Make datasette serve --asgi run ASGI and uvicorn

Uvicorn supports Python 3.5 again as of https://github.com/encode/uvicorn/issues/330 - so it's going to be the new dependency for Datasette.

Do some comparative testing of ASGI and non-ASGI

Just some sanity checking to make sure there aren't any weird issues.

Final step: refactor out Sanic

Hopefully this will just involve changes being made to the AsgiView base class, since that subclasses Sanic HTTPMethodView.

Bonus: It looks like dropping Sanic as a dependency in favour of Uvicorn should give us Windows support! https://github.com/encode/uvicorn/issues/82

Uvicorn 0.8.1 is our and supports raw_path!

How should file serving work?

Starlette and Sanic both use aiofiles - https://github.com/Tinche/aiofiles - which is a small wrapper around file operations which runs them all in an executor thread. It doesn't have any C dependencies so it looks like a good option. Quart uses it too.

aiohttp does things differently: it has an implementation based on sendfile with an alternative fallback which reads chunks from a file object and yields them one chunk at a time,

I have an open pull request to Uvicorn with an implementation of raw_path: https://github.com/encode/uvicorn/pull/372

Started sketching out the router in the asgi branch: https://github.com/simonw/datasette/commit/7cdc55c6836fe246b1ca8a13a965a39991c9ffec

For the routing component: I'm going to base my implementation on the one from Django Channels.

https://github.com/django/channels/blob/507cb54fcb36df63282dd19653ea743036e7d63c/channels/routing.py#L123-L149

Documented here: https://channels.readthedocs.io/en/latest/topics/routing.html#urlrouter

Particularly relevant: my view classes need access to the components that were already parsed out of the URL by the router. I'm going to copy the Django Channels mechanism of stashing those in scope["url_route"]["kwargs"].

For reference, here's some WIP code I wrote last year against the old ASGI 2 spec: https://github.com/simonw/datasette/commit/4fd36ba2f3f91da7258859808616078e3464fb97

I'll probably revert 9fdb47ca952b93b7b60adddb965ea6642b1ff523 from https://github.com/simonw/datasette/issues/272#issuecomment-494192779 since I won't need it now that ASGI is getting raw_path support.

https://github.com/simonw/datasette/commit/9fdb47ca952b93b7b60adddb965ea6642b1ff523 added decode_path_component() and encode_path_component() functions because ASGI decodes %2F encoded slashes in URLs automatically. The new encoding scheme looks like this:

"table/and/slashes" => "tableU+002FandU+002Fslashes"
"~table" => "U+007Etable"
"+bobcats!" => "U+002Bbobcats!"
"U+007Etable" => "UU+002B007Etable"

For background see this comment: https://github.com/django/asgiref/issues/51#issuecomment-450603464

Bah, I'd much rather depend on Starlette for things like form parsing - but it's 3.6+ only!

https://github.com/encode/starlette/blob/ab86530eddfcf56e0f7e5ca56f6ab69c15594a7d/setup.py#L39

Maybe I could require Python 3.6 or higher if you want to handle POST data? This would make my internals far too complicated though I think.

While I'm not depending on Starlette any more I will need to instead depend on https://github.com/andrew-d/python-multipart for POST form parsing - as used by Starlette here https://github.com/encode/starlette/blob/ab86530eddfcf56e0f7e5ca56f6ab69c15594a7d/starlette/requests.py#L178-L193

I said earlier that I only need to support GET - I actually need to be able to support POST too, mainly to support plugins (e.g. a plugin that allows authenticated login before you can view Datasette, but potentially also plugins that let you write data directly to SQLite as well).

Wow, this issue has been open for a full year now!

I've been thinking about this a lot. I've decided I want Datasette to use ASGI 3.0 internally with no dependencies on anything else - then I want the option to run Datasette under both daphne and uvicorn - because uvicorn doesn't support Python 3.5 but Datasette still needs to (primarily for Glitch), and daphne works with 3.5.

So I'm going to try to go the following route:

• Every Datasette view becomes an ASGI app
• The Datasette application itself is an ASGI app that routes to those views
• When you pip install datasette you get Daphne as a dependency (I'd like you to be able to opt-out of installing Daphne, I'm not yet sure how that would work)
• A new asgi_serve plugin hook allows a plugin to serve Datasette using uvicorn (or hypercorn) instead

Refs https://github.com/encode/uvicorn/issues/168

Tom shipped my fix for that bug already, so https://datasette-starlette-demo.now.sh/ is now serving CSS!

I'm now hacking around with an initial version of this in the starlette branch.

Here's my work in progress, deployed using datasette publish now fixtures.db -n datasette-starlette-demo --branch=starlette --extra-options="--asgi"

https://datasette-starlette-demo.now.sh/

Lots more work to do - the CSS isn't being served correctly for example, it's showing this error when I hit /-/static/app.css: INFO: 127.0.0.1 - "GET /-/static/app.css HTTP/1.1" 200 ERROR: Exception in ASGI application Traceback (most recent call last): File "/Users/simonw/Dropbox/Development/datasette/venv/lib/python3.6/site-packages/uvicorn/protocols/http/httptools_impl.py", line 363, in run_asgi result = await asgi(self.receive, self.send) File "/Users/simonw/Dropbox/Development/datasette/venv/lib/python3.6/site-packages/starlette/staticfiles.py", line 91, in __call__ await response(receive, send) File "/Users/simonw/Dropbox/Development/datasette/venv/lib/python3.6/site-packages/starlette/response.py", line 180, in __call__ {"type": "http.response.body", "body": chunk, "more_body": False} File "/Users/simonw/Dropbox/Development/datasette/venv/lib/python3.6/site-packages/uvicorn/protocols/http/httptools_impl.py", line 483, in send raise RuntimeError("Response content shorter than Content-Length") RuntimeError: Response content shorter than Content-Length

It looks like that's a bug in Starlette - filed here: https://github.com/encode/starlette/issues/32

No cookies or sessions - no POST requests in fact, Datasette just cares about GET (path and querystring) and being able to return custom HTTP headers.

This looks VERY relevant: https://github.com/encode/starlette

Thinking about this further, maybe I should embrace ASGI turtles-all-the-way-down and teach each datasette view class to take a scope to the constructor and act entirely as an ASGI component. Would be a nice way of diving deep into ASGI and I can add utility helpers for things like querystring evaluation as I need them.

https://github.com/encode/uvicorn/blob/572b5fe6c811b63298d5350a06b664839624c860/uvicorn/run.py#L63 is how you start a Uvicorn server from code as opposed to the uvicorn CLI

from uvicorn.run import UvicornServer
UvicornServer().run(app, host=host, port=port)

Results of an extremely simple micro-benchmark comparing the two shows that uvicorn is at least as fast as Sanic (benchmarks a little faster with a very simple payload): https://gist.github.com/simonw/418950af178c01c416363cc057420851

I built this ASGI debugging tool to help with this migration: https://asgi-scope.now.sh/fivethirtyeight-34d6604/most-common-name%2Fsurnames.json?foo=bar&bazoeuto=onetuh&a=.

I think I can do this almost entirely within my existing BaseView class structure.

First, decouple the async data() methods by teaching them to take a querystring object as an argument instead of a Sanic request object. The get() method can then send that new object instead of a request.

Next teach the base class how to obey the ASGI protocol.

I should be able to get support for both Sanic and uvicorn/daphne working in the same codebase, which will make it easy to compare their performance.