Emscripten dockerized

This image serves as convenient way how to have emscripten at hand without the need to build it for yourself, which takes a long time as you need to build clang from source.

See the docker hub for more details.

Versioning

The docker image version (tag) is the same as emscripten version so apiaryio/emcc:1.38.11 corresponds to emscripten version 1.38.11. Older images used to ignore the patch version but it we hit an issue along the way and started tagging even patch versions.

In the respective subdirectories you can find Dockerfiles for all emscripten versions ever built. Each of them is building the latest patch version.

Usage

Once pulled the usage is simple either invoke simple commands for interactive use

$> docker run --rm -v $(pwd):/src -t apiaryio/emcc emconfigure ./configure

or if working on non-trivial project have a build script run that, see the scripts directory in drafter.js repo.

$> docker run --rm -v $(pwd):/src -t apiaryio/emcc emcc/emcbuild.sh

Both examples assume you are in the root directory of your project where is your configure or Makefile.

Automated building of the images

To ease the maintenance there are few python 3 scripts to help and terraform settings.

emccbuild.py

This script updates and build the images automatically.

./emccbuild.py -h for usage

runit.py

This is a pexpect script which builds and pushes given versions on AWS EC2 instance. It utilizes terraform for the EC2 instance setup and teardown.

The script calls terraform and then over ssh runs docker login and emccbuild.py and if it finishes succesfully then it tears down the ec2 instance as well, making the whole process simple.

runit.py -h for usage

It needs a configuration file runitconfig.py to proceed. If it does not exists it will create a template so that you can just edit it and run it again.

Configuration (runitconfig.py)

aws_access = "<AWS ACCESS CODE>"
aws_secret = "<AWS SECRET>"
aws_instance_type = "c4.2xlarge"
aws_subnet_id = "<AWS SUBNET ID>"
key_name = "<AWS KEY NAME>"
ssh_key = "<PATH TO AWS KEY FILE>"
user = "<DOCKER USERNAME>"
passwd = "<DOCKER PASSWORD>"
email = "<DOCKER EMAIL>"