Merge pull request #844 from jcberentsen/stackdocker

Support using 'stack --docker'

README.md

@@ -81,6 +81,29 @@ Currently the component that takes the longest time to compile is
 `ihaskell-widgets`, so if you're in a hurry you may want to comment that out in
 `stack.yaml`.
 
+## Stack development with Docker
+This is an alternative way to use Docker than above, taking advantage of stack's Docker support.
+Makes it easy to install new packages with `stack --docker install <pkg>` without having to rebuild a docker image.
+Like the other Docker workflow, this doesn't require any host dependecies to be installed.
+
+```bash
+docker build -t ihaskell-dev docker
+stack --docker setup
+stack --docker install
+stack --docker exec ihaskell -- install --stack
+stack --docker exec jupyter -- notebook --ip=0.0.0.0 notebooks
+```
+
+Everything in the LTS can be made available!
+To add a package outside the LTS, simply add it to the `stack.yaml` file  (See: "Where are my packages?" below).
+Then install the package with stack before restarting `jupyter`
+
+```bash
+# after adding details about mypackage to stack.yaml
+stack --docker install mypackage
+stack --docker exec jupyter -- notebook notebooks
+```
+
 ## Nix
 
 If you have the `nix` package manager installed, you can create an IHaskell

docker/Dockerfile

+FROM fpco/stack-build:lts-11.1
+# docker build -t ihaskell-dev docker
+
+# Install all necessary Ubuntu packages
+RUN apt-get update && apt-get install -y python3-pip libgmp-dev libmagic-dev libtinfo-dev libzmq3-dev libcairo2-dev libpango1.0-dev libblas-dev liblapack-dev gcc g++ && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Jupyter notebook
+RUN pip3 install -U jupyter
+
+ENV LANG en_US.UTF-8
+
+EXPOSE 8888

stack.yaml

@@ -31,6 +31,11 @@ extra-deps:
 - mfsolve-0.3.2.0
 - fast-math-1.0.2
 
+docker:
+  repo: "ihaskell-dev:latest"
+  enable: false
+  run-args: ["--net=bridge", "-p8888:8888"]
+
 nix:
   enable: false
   packages: