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541837823 https://github.com/simonw/datasette/pull/578#issuecomment-541837823 https://api.github.com/repos/simonw/datasette/issues/578 MDEyOklzc3VlQ29tbWVudDU0MTgzNzgyMw== heussd 887095 2019-10-14T18:19:42Z 2019-10-14T18:19:42Z NONE

My use case was: I wanted to use datasette on a Raspberry Pi. docker pull datasetteproject/datasette pulled the official image, which then failed to execute because it is not ARM ready. Building my own quite took some time (~60 minutes via Qemu on Intel i5).

You are right, the build method is quite new and I would not be surprised if the syntax / command will change in future. The outcome however, a Docker multi-architecture manifest, is aligned with Docker's strategy on how to tackle multiple architectures: transparently, on the registry-side.

I just thought it would be nice to have the official image ready for multiple architectures. But I fully understand if the current methods feel too experimental to be mergable...

 
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 Added support for multi arch builds 499954048  
541664602 https://github.com/simonw/datasette/pull/595#issuecomment-541664602 https://api.github.com/repos/simonw/datasette/issues/595 MDEyOklzc3VlQ29tbWVudDU0MTY2NDYwMg== tomchristie 647359 2019-10-14T13:03:10Z 2019-10-14T13:03:10Z NONE

🤷‍♂️ @stonebig's suggestion would be the best I got too, if you want to support 3.5->3.8.

It's either that, or hold off on 3.8 support until you're ready to go to 3.6->3.8.

 
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 bump uvicorn to 0.9.0 to be Python-3.8 friendly 506300941  
541499978 https://github.com/simonw/datasette/pull/595#issuecomment-541499978 https://api.github.com/repos/simonw/datasette/issues/595 MDEyOklzc3VlQ29tbWVudDU0MTQ5OTk3OA== stonebig 4312421 2019-10-14T04:32:33Z 2019-10-14T04:33:26Z NONE

Maybe make the setup rule conditional, so that below python-3.6, it looks for unicorn-0.8 ?

 
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 bump uvicorn to 0.9.0 to be Python-3.8 friendly 506300941  

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