README.rst

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Utilities for building on travis-ci with OSX and Linux
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A set of scripts to automate builds of OSX and manylinux1 wheels on travis-ci
infrastructure.

These scripts are designed to build *and test*:

* Dual architecture OSX wheels;
* 64-bit manylinux1_x86_64 wheels, both narrow and wide unicode builds;
* 32-bit manylinux1_i686 wheels, both narrow and wide unicode builds.

You can currently build and test against Pythons 2.6, 2.7, 3.3, 3.4, 3.5.

The small innovation here is that you can test against 32-bit builds, and both
wide and narrow unicode Python 2 builds, which was not easy on the default
travis-ci configurations.

*****************
How does it work?
*****************

Multibuild is a series of bash scripts that define bash functions to build and
test wheels.

Configuration is by overriding the default build function, and defining a test
function.

The bash scripts are layered, in the sense that they loaded in the following
sequence:

OSX
===

See ``multibuild/travis_osx_steps.sh``.

For build and test phases, these bash scripts get sourced one after the other,
so that functions and variables defined in later scripts can overwrite
functions and variables in earlier scripts:

* multibuild/common_utils.sh
* multibuild/osx_utils.sh
* multibuild/library_builders.sh
* multibuild/travis_osx_steps.sh
* config.sh

See ``travis_osx_steps.sh`` to review source order.

The OSX build / test and phase are on the OSX VM started by travis-ci.
Therefore any environment variable defined in the ``.travis.yml`` or bash
shell scripts listed above are available for your build and test.

The ``build_wheel`` function builds the wheel, and the ``install_run``
function installs the wheel and tests it.  Look in ``common_utils.sh`` for
default definitions of these functions.  See below for more details.

Manylinux
=========

The build phase is in a Manylinux1 docker container, but the test phase is in
a clean Ubuntu 14.04 container.

Build phase
-----------

``multibuild/travis_linux_steps.sh`` defines the ``build_wheel`` function,
which starts up the Manylinux1 docker container to run a wrapper script
``multibuild/docker_build_wrap.sh``, that (within the container) sources the
following bash scripts:

* multibuild/common_utils.sh
* multibuild/manylinux_utils.sh
* multibuild/library_builders.sh
* config.sh

See ``docker_build_wrap.sh`` to review the order of script sourcing.

See the definition of ``build_wheel`` in ``multibuild/travis_linux_steps.sh``
for the environment variables passed from travis-ci to the Manylinux1
container.

Once in the container, after sourcing the scripts above, the wrapper runs the
real ``build_wheel`` function, which now comes (by default) from
``multibuild/common_utils.sh``.

Test phase
----------

Testing is in an Ubuntu 14.04 docker container - see
``multibuild/docker_test_wrap.sh``.  ``multibuild/travis_linux_steps.sh``
defines the ``install_run`` function, which starts up the testing docker
container with a wrapper script ``multibuild/docker_test_wrap.sh``.  The
wrapper script sources the following bash scripts:

* multibuild/common_utils.sh
* config.sh

See ``docker_test_wrap.sh`` for script source order.

See ``install_run`` in ``multibuild/travis_linux_steps.sh`` for the
environment variables passed into the container.

It then (in the container) runs the real ``install_run`` command, which comes
(by default) from ``multibuild/common_utils.sh``.

*********************************
Standard build and test functions
*********************************

The standard build commmand is ``build_wheel``.  This is a bash function.  By
default the function that is run on OSX, and in the Manylinux container for
the build phase, is defined in ``multibuild/common_utils.sh``.  You can
override the default function in the project ``config.sh`` file (see below).

Typically, you can get away with leaving the default ``build_wheel`` function,
but you may need to define a ``pre_build`` function in ``config.sh``.  The
default ``build_wheel`` function will call the ``pre_build`` function, if
defined, before building the wheel, so ``pre_build`` is a good place to build
any required libraries.

The standard test command is the bash function ``install_run``.  The version
run on OSX and in the Linux testing container is also defined in
``multibuild/common_utils.sh``.  Typically, you do not override this function,
but you in that case you will need to define a ``run_tests`` function, to run
your tests, returning a non-zero error code for failure.  The default
``install_run`` implementation calls the ``run_tests`` function, which you
will likely define in ``config.sh``.  See the examples below for examples of
less and more complicateb builds, where the complicated builds override more
of the default implementations.

********************
To use these scripts
********************

* Make a repository for building wheels on travis-ci - e.g.
  https://github.com/MacPython/astropy-wheels - or in your case maybe
  ``https://github.com/your-org/your-project-wheels``;

* Add this (here) repository as a submodule::

    git submodule add https://github.com/matthew-brett/multibuild.git

* Add your own project repository as another submodule::

    git submodule add https://github.com/your-org/your-project.git

* Create a ``.travis.yml`` file, something like this::

    env:
        global:
            - REPO_DIR=your-project
            # Commit from your-project that you want to build
            - BUILD_COMMIT=v0.1.0
            # pip dependencies to _build_ your project
            - BUILD_DEPENDS="Cython numpy"
            # pip dependencies to _test_ your project.  Include any dependencies
            # that you need, that are also specified in BUILD_DEPENDS, this will be
            # a separate install.
            - TEST_DEPENDS="numpy scipy pytest"
            - PLAT=x86_64
            - UNICODE_WIDTH=32
            - WHEELHOUSE_UPLOADER_USERNAME=travis-worker
            # Following generated with
            # travis encrypt -r your-org/your-project-wheels WHEELHOUSE_UPLOADER_SECRET=<the api key>
            # This is for Rackspace uploads.  Contact Matthew Brett, or the
            # scikit-learn team, for # permission (and the API key) to upload to
            # the Rackspace account used here, or use your own account.
            - secure:
                "MNKyBWOzu7JAUmC0Y+JhPKfytXxY/ADRmUIMEWZV977FLZPgYctqd+lqel2QIFgdHDO1CIdTSymOOFZckM9ICUXg9Ta+8oBjSvAVWO1ahDcToRM2DLq66fKg+NKimd2OfK7x597h/QmUSl4k8XyvyyXgl5jOiLg/EJxNE2r83IA="

    language: python
    # The travis Python version is unrelated to the version we build and test
    # with.  This is set with the MB_PYTHON_VERSION variable.
    python: 3.5
    sudo: required
    dist: trusty
    services: docker

    matrix:
      exclude:
        # Exclude the default Python 3.5 build
        - python: 3.5
      include:
        - os: linux
          env:
            - MB_PYTHON_VERSION=2.6
        - os: linux
          env:
            - MB_PYTHON_VERSION=2.6
            - PLAT=i686
        - os: linux
          env: MB_PYTHON_VERSION=2.7
        - os: linux
          env:
            - MB_PYTHON_VERSION=2.7
            - UNICODE_WIDTH=16
        - os: linux
          env:
            - MB_PYTHON_VERSION=2.7
            - PLAT=i686
        - os: linux
          env:
            - MB_PYTHON_VERSION=2.7
            - PLAT=i686
            - UNICODE_WIDTH=16
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.3
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.3
            - PLAT=i686
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.4
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.4
            - PLAT=i686
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.5
        - os: linux
          env:
            - MB_PYTHON_VERSION=3.5
            - PLAT=i686
        - os: osx
          language: generic
          env:
            - MB_PYTHON_VERSION=2.7
        - os: osx
          language: generic
          env:
            - MB_PYTHON_VERSION=3.4
        - os: osx
          language: generic
          env:
            - MB_PYTHON_VERSION=3.5

    before_install:
        - source multibuild/common_utils.sh
        - source multibuild/travis_steps.sh
        - before_install

    install:
        # Maybe get and clean and patch source
        - clean_code $REPO_DIR $BUILD_COMMIT
        - build_wheel $REPO_DIR $PLAT

    script:
        - install_run $PLAT

    after_success:
        # Upload wheels to Rackspace container
        - pip install wheelhouse-uploader
        # This uploads the wheels to a Rackspace container owned by the
        # scikit-learn team, available at http://wheels.scipy.org.  See above
        # for information on using this account or choosing another.
        - python -m wheelhouse_uploader upload --local-folder
            ${TRAVIS_BUILD_DIR}/wheelhouse/
            --no-update-index
            wheels

* Next create a ``config.sh`` for your project, that fills in any steps you
  need to do before building the wheel (such as building required libraries).
  You also need this file to specify how to run your tests::

    # Define custom utilities
    # Test for OSX with [ -n "$IS_OSX" ]

    function pre_build {
        # Any stuff that you need to do before you start building the wheels
        # Runs in the root directory of this repository.
        :
    }

    function run_tests {
        # Runs tests on installed distribution from an empty directory
        python --version
        python -c 'import sys; import yourpackage; sys.exit(yourpackage.test())'
    }

* Make sure your project is set up to build on travis-ci, and you should now
  be ready (to begin the long slow debugging process, probably).

If your project depends on numpy, you will want to build against the earliest
numpy that your project supports - see `forward, backward numpy compatibility
<http://stackoverflow.com/questions/17709641/valueerror-numpy-dtype-has-the-wrong-size-try-recompiling/18369312#18369312>`_.
See the `astropy-wheels travis file
<https://github.com/MacPython/astropy-wheels/blob/master/.travis.yml>`_ for an
example specifying numpy build and test dependencies.

Here are some simple example projects:

* https://github.com/MacPython/astropy-wheels
* https://github.com/scikit-image/scikit-image-wheels
* https://github.com/MacPython/nipy-wheels
* https://github.com/MacPython/dipy-wheels

Less simple projects where there are some serious build dependencies, and / or
OSX / Linux differences:

* https://github.com/MacPython/matplotlib-wheels
* https://github.com/python-pillow/Pillow-wheels
* https://github.com/MacPython/h5py-wheels