[Question] ARMv7 Debian package?

[lordofscripts]

I am using a Raspberry π with Debian Bullseye. It's an armv7l platform. Any plans to include a release for this architecture?I was using Kanri Kanban but that Tauri contraption doesn't seem to be stable.

[johnblommers]

So I'm curious and have a few questions if I may:

1. ARMv7 is a 32-bit architecture so which edition of the 32-bit Raspberry Pi OS are you running then?
2. What model of Raspberry Pi do you want to run MindForger on and
3. How much RAM is it equipped with?

[lordofscripts]

So I'm curious and have a few questions if I may:

Sure!

1. ARMv7 is a 32-bit architecture so which edition of the 32-bit Raspberry Pi OS are you running then?

Indeed it is a 32-bit architecture. I have been using it as a graphical desktop for over a year.

It is a Raspberry π 2B which has been running Raspbian Debian Bullseye since I reinstalled from scratch a year ago.

2. What model of Raspberry Pi do you want to run MindForger on and

It is a Raspberry π 2B.

3. How much RAM is it equipped with?

That I know the π 2 has 1 GB.Kanri ran well for some time until suddenly it stopped working. I think it is the Tauri framework that the app uses (he is still porting to Tauri).

[johnblommers]

MindForger is too useful to not build on a Raspberry Pi. So I gave it a shot on a Raspberry Pi 4B with 8 GB RAM running the latest Raspberry Pi OS. So yes this is not a 32-bit system running 1 GB of RAM.

But I followed the build instructions for Debian systems. I had to install libcurl4-gnutls-dev to satisfy a dependency for curl.h, but after a few long minutes I had a working build of MindForger. And that was pretty darn satisfying!

So let me suggest that you follow the MindForger Debian installation instructions on your 32-bit system and cross the fingers that all the 32-bit dependencies are present in the Raspberry Pi operating system repository.

Given the 1 GB RAM limitation of your Pi, it may be necessary to limit the make step to a single thread, so the build process does not run out of RAM+swap and crash. Worse case, you'll have to increase the amount of swap and possess the patience of Job while the build crawls along.

I hope that you have the bandwidth to attempt this. It will be very interesting to hear about your progress.