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https://github.com/robotpy/roborio-docker

Build files for roborio-based docker images
https://github.com/robotpy/roborio-docker

docker frc roborio

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Build files for roborio-based docker images

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roborio-docker
==============

This repository contains scripts that are useful for transforming a RoboRIO
firmware image into a docker image that can be ran on an ARM computer (it
will not work on a normal PC).

This process has been tested on an ODROID-C2 (Ubuntu 16.04) with Docker 1.13.1
installed. However, any Linux OS on a compatible ARM processor that runs docker
should work.

This docker image most likely cannot be used to run an unmodified FIRST
robot program on it, because WPILib requires access to the NI FPGA present on
the RoboRIO.

Build image from firmware image
-------------------------------

First, grab the image zipfile from your driver station, and copy it to the
machine that you're running docker on. Then, run:

./build_images.sh FRC_roboRIO_x_x.zip

This should create a docker image called 'roborio:x_x', and it will also tag
the image as roborio:latest.

Additionally, it will build an image 'roborio-build:latest' which will be a
roborio image that contains various essential build tools if you need to build
various pieces of software.

Running an SSH build server
---------------------------

The 'start_buildserver.sh' script can be used to start a docker image that can
be used in conjunction with the build scripts in roborio-packages. It spawns
an SSH server that listens on port 2222. Some magic is done to:

* Switch the processor into 32-bit mode via `setarch`
* Use LD_PRELOAD to install a uname hook that reports the host being 'armv7l'

To ssh into this docker image, you'll want to add something like this to your
~/.ssh/config

Host roborio-docker
User root
Hostname xx.xx.xx.xx
Port 2222

Why does this exist?
--------------------

For historical reasons, the roborio-packages repository primarily relies on
compiling packages on the RoboRIO. For awhile I was using the roborio-vm to
build packages, but it takes a very long time to build complex packages such
as NumPy or SciPy. Building on real ARM hardware is a lot faster.