[Feature]: Add a flag for ios run to allow for building with Rosetta enabled

[JaapWeijland]

Description

Because some plugins can't be build for simulators using arm64 arch, it would be nice to allow for building for simulators using Rosetta using the cli.

Platforms

• iOS
• Android
• Web

Request or proposed solution

Add a flag like --arch_x86_64 or --with-rosetta or similar to allow for building for simulators using the x86_64 arch. Currently all simulators listed when using ios run with Xcode 15.3 are arm64 targets and some plugins don't support arm64, like the capacitor-mlkit/barcode-scanning plugin.

I verified that the core of this problem is solved by adding ,arch=x86_64 to this line:

capacitor/cli/src/ios/run.ts

Line 57 in 5b2ab7c

`id=${target.id}`,

Alternatives

No response

Additional Information

This feature came to mind when I was debugging this issue: capawesome-team/capacitor-mlkit#148.

[JaapWeijland]

My problem has been solved by the kind folks over at capawesome, however, I needed to edit the Podfile to make it work. This means I have to check in my ios folder, which I'd rather not do to make sure the ios and android configurations are automated (for example with Trapeze). Would it still make sense to add such a future for during development?

[BeetrootToYourself]

+1

[therealjmj]

My problem has been solved by the kind folks over at capawesome, however, I needed to edit the Podfile to make it work. This means I have to check in my ios folder, which I'd rather not do to make sure the ios and android configurations are automated (for example with Trapeze). Would it still make sense to add such a future for during development?

Podfile changes should be ok to commit to git, in my experience. You will have to make these modifications again if you ever remove the iOS platform and re-add it.

What specific changes did you add? I'm running into the same issue.

Also, will you be able to deploy to device? iOS devices run arm64.

[JaapWeijland]

The solution to my problem was posted here:

capawesome-team/capacitor-mlkit#148