Added a README file for the docker image.

 - Legacy-Id: 10437

Author: levkowetz

docker/README.rst

@@ -0,0 +1,81 @@
+
+====================================================
+Datatracker Development in a Docker Container (beta)
+====================================================
+
+Intro
+=====
+
+Docker_ is a set of tools which lets you package software together with its
+dependencies in lightweight containers, and run it in isolated virtual environments.
+
+During and just after IETF-94 I've spent quite a bit of time setting up a docker
+image which provides the dependencies needed to run the datatracker, and it's now
+available for beta testing.  Hopefully this should make it substantially easier to
+get started with datatracker development.
+
+Steps
+=====
+
+1. Set up Docker on your preferred platform.  `Official installers`_
+   exist for many Linux flavours, OS X, Windows and Cloud services.
+
+   Docker containers require the services of an underlying Linux API,
+   which means that on OS X and Windows, these have to be provided
+   by a virtual machine which runs a minimal Linux image.  The virtual
+   machine used is VirtualBox_, and the official installer provides an
+   image named Docker Machine.
+
+   Another option is boot2docker_, which is deprecated as of end 2015,
+   but has worked well for me, something I unfortunately cannot say for
+   the Docker Machine as of November 2015.  It seems to me as if boot2docker
+   has been deprecated before the Docker Machine was quite ready for
+   prime time.
+
+2. Check out your datatracker branch in a suitable directory.  We'll
+   assume ``~/src/dt/`` here, and assume you are ``coder``::
+
+      ~/src/dt/ $ svn co https://svn.tools.ietf.org/svn/tools/ietfdb/personal/coder/6.8.2.dev0
+
+3. In the checked out working copy, you'll find a ``data/`` directory
+   at the top level.  Fetch down a pre-built copy of the datatracker
+   database, place it in this directory and unpack it::
+
+      ~/src/dt/6.8.2.dev0/data/ $ wget https://www.ietf.org/lib/dt/sprint/ietf_utf8.bin.tar.bz2 .
+      ~/src/dt/6.8.2.dev0/data/ $ tar xjf ietf_utf8.bin.tar.bz2
+
+4. In the checked out working copy, you'll also find a ``docker/``
+   directory at the top level.  It contains a Dockerfile which can
+   be used to build a docker image, but we will be using a prebuilt
+   image::
+
+      ~/src/dt/6.8.2.dev0/docker/ $ ./run
+
+   This will pull down the latest docker datatracker image, start it
+   up with appropriate settings, map the internal ``/var/lib/mysql/``
+   directory to the ``data/mysql/`` directory we placed the database
+   in, set up a python virtualenv for you, install some dependencies,
+   and drop you in a bash shell.
+
+5. You are now free to run the tests **in the virtual environment**::
+
+      (datatracker) $ ietf/manage.py test --settings=settings_sqlitetest
+
+   and then start the dev server::
+
+      (datatracker) $ ietf/manage.py runserver 0.0.0.0:8000
+
+   Note the IP address ``0.0.0.0`` used to make the dev server bind to all
+   addresses.  The internal port 8000 has been mapped to port 8000 externally,
+   too, by the ``run`` command.  In order to find the IP address of the
+   VirtualBox, run ``$ boot2docker ip`` or equivalent::
+
+      ~/src/dt/6.8.2.dev0/ $ boot2docker ip
+      192.168.59.103
+      
+      ~/src/dt/6.8.2.dev0/ $ open -a Safari http://192.168.59.103:8000/
+
+..  _Docker: https://www.docker.com/
+..  _`Official installers`: https://docs.docker.com/engine/installation/
+..  _boot2docker: http://boot2docker.io/
+..  _VirtualBox: https://www.virtualbox.org/