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README.md

Dockerfile collection

This is a collection of Dockerfiles (see Wikipedia) for cross compilation to various platforms. Currently, we provide two basic cross compiler environments, each with a few platform variants. All environments are also rebuilt and updated regularly when the source files change.

  • GHC 8.0.1 on Android

    • toktoknet/ghc-android:latest.aarch64: ARM64
    • toktoknet/ghc-android:latest.arm: ARM EABI (32 bit)
    • toktoknet/ghc-android:latest.i686: Intel x86
    • toktoknet/ghc-android:latest.x86_64: AMD64
  • Windows: contains pre-compiled libvpx, opus, libsodium, and check, used for toxcore compilation. It also contains a working wine installation set up to run executables built for the chosen platform.

    • toktoknet/windows:latest.i686-shared: Supporting both shared and statically linked libraries.
    • toktoknet/windows:latest.i686-static: Supporting only fully static builds. Choose this if you want to build statically linked binaries. Some libraries (like Qt) need to be built in a fully static environment to be statically linkable. The -shared variants won't support that use case.
    • toktoknet/windows:latest.x86_64-shared: Win64 shared linking environment.
    • toktoknet/windows:latest.x86_64-static: Win64 static linking environment. See above for considerations.

Furthermore, to support our own use cases, which are building the Tox client qTox and the Haskell Tox implementation hstox, we support images built on the above base environments:

  • GHC 8.0.1 on Android with hstox dependencies pre-built. This allows for much shorter development cycles, as only hstox itself needs to be built. It also allows us to use a different system user for the hstox build, keeping the cabal package database read-only. All 4 platforms are supported. Replace ghc-android with ghc-android-hstox in the above list.
  • Windows with Qt5. To build qTox, we provide an image with all its dependencies (Qt5, ffmpeg, gtk2, openal, qrencode, sqlcipher) in addition to the toxcore dependencies in the base image.

Usage

ghc-android

The ghc-android environments are used as follows (the ARM build is used as an example):

IMAGE=toktoknet/ghc-android:latest.arm
# Pull the image from dockerhub.
docker pull $IMAGE
# Get the "dockrun" script from the image, which automatically mounts the
# current directory to /work in the container.
docker run --rm $IMAGE cat /root/dockrun > dockrun
chmod +x dockrun

Now we can use the dockrun script to build cabal packages in the current directory:

./dockrun target-cabal configure
./dockrun target-cabal build

After this, if your package built successfully, you will have ARM binaries in your dist directory. If you have a non-simple Setup.lhs, you need to first compile it with the host cabal:

./dockrun cabal configure        # Compiles Setup.lhs (or Setup.hs).
./dockrun target-cabal configure # Re-configure with target-cabal.
./dockrun target-cabal build

windows

The Windows environments work in a similar way:

IMAGE=toktoknet/windows:latest.i686-shared
# Pull the image from dockerhub.
docker pull $IMAGE
# Get the "dockrun" script from the image, which automatically mounts the
# current directory to /work in the container.
docker run --rm $IMAGE > dockrun
chmod +x dockrun

Then, build your program or library:

# With autotools:
./dockrun ./configure --host=i686-w64-mingw32.shared # note the "shared"
./dockrun make
# With cmake:
./dockrun i686-w64-mingw32.shared-cmake -B_build -H.
./dockrun make -C_build

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Dockerfiles for (cross-)compiling TokTok projects for various platforms

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