Simon Willison’s Weblog

13 items tagged “asgi”

2021

Weeknotes: sqlite-utils updates, Datasette and asgi-csrf, open-sourcing VIAL

Some work on sqlite-utils, asgi-csrf, a Datasette alpha and we open-sourced VIAL.

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Notes on streaming large API responses

I started a Twitter conversation last week about API endpoints that stream large amounts of data as an alternative to APIs that return 100 results at a time and require clients to paginate through all of the pages in order to retrieve all of the data:

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2020

Weeknotes: datasette-ics, datasette-upload-csvs, datasette-configure-fts, asgi-csrf

I’ve been preparing for the NICAR 2020 Data Journalism conference this week which has lead me into a flurry of activity across a plethora of different projects and plugins.

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Async Support—HTTPX (via) HTTPX is the new async-friendly HTTP library for Python spearheaded by Tom Christie. It works in both async and non-async mode with an API very similar to requests. The async support is particularly interesting—it’s a really clean API, and now that Jupyter supports top-level await you can run ’(await httpx.AsyncClient().get(url)).text’ directly in a cell and get back the response. Most excitingly the library lets you pass an ASGI app directly to the client and then perform requests against it—ideal for unit tests. # 10th January 2020, 4:49 am

2019

Logging to SQLite using ASGI middleware

I had some fun playing around with ASGI middleware and logging during our flight back to England for the holidays.

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Datasette 0.31. Released today: this version adds compatibility with Python 3.8 and breaks compatibility with Python 3.5. Since Glitch support Python 3.7.3 now I decided I could finally give up on 3.5. This means Datasette can use f-strings now, but more importantly it opens up the opportunity to start taking advantage of Starlette, which makes all kinds of interesting new ASGI-based plugins much easier to build. # 12th November 2019, 6:11 am

Single sign-on against GitHub using ASGI middleware

I released Datasette 0.29 last weekend, the first version of Datasette to be built on top of ASGI (discussed previously in Porting Datasette to ASGI, and Turtles all the way down).

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datasette-cors (via) My other Datasette ASGI plugin: this one wraps my asgi-cors project and lets you configure CORS access from a list of domains (or a set of domain wildcards) so you can make JavaScript calls to a Datasette instance from a specific set of other hosts. # 8th July 2019, 4:30 am

datasette-auth-github (via) My first big ASGI plugin for Datasette: datasette-auth-github adds the ability to require users to authenticate against the GitHub OAuth API. You can whitelist specific users, or you can restrict access to members of specific GitHub organizations or teams. While it’s structured as a Datasette plugin it also includes ASGI middleware which can be applied to any ASGI application. # 8th July 2019, 4:28 am

Porting Datasette to ASGI, and Turtles all the way down

This evening I finally closed a Datasette issue that I opened more than 13 months ago: #272: Port Datasette to ASGI. A few notes on why this is such an important step for the project.

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asgi-cors (via) I’ve been trying out the new ASGI 3.0 spec and I just released my first piece of ASGI middleware: asgi-cors, which lets you wrap an ASGI application with Access-Control-Allow-Origin CORS headers (either “*” or dynamic headers based on an origin whitelist). # 7th May 2019, 12:12 am

Hello world for ASGI running on Glitch (via) I’m continuing to experiment with Python 3 running on Glitch. This evening on my walk home from work I built this “hello world” demo on my phone, partly to see if Glitch was a workable mobile development environment—it passed with flying colours! The demo is a simple hello world implemented using the new ASGI 3.0 specification, running on the daphne reference server. Click the “via” link for my accompanying thread on Twitter, which includes a short screencast (also recorded on my phone) showing Glitch in action. # 26th April 2019, 5:06 am

2018

The ASGI specification provides an opportunity for Python to hit a productivity/performance sweet-spot for a wide range of use-cases, from writing high-volume proxy servers through to bringing large-scale web applications to market at speed.

Tom Christie # 8th October 2018, 2:43 pm