About

This repository contains a set of scripts that are used by the .travis.yml and appveyor.yml files of astropy packages for the Travis and AppVeyor services respectively.

The idea is to clone these at the last minute when the continuous integration is about to be run. This is better than including this repository as a sub-module, because this allows updates to this repository to take effect immediately, and not have to update the sub-module every time a change is made.

How to use

Travis

Include the following lines at the start of the install section in .travis.yml:

install:
    - git clone --depth 1 git://github.com/astropy/ci-helpers.git
    - source ci-helpers/travis/setup_conda.sh

This does the following:

• Set up Miniconda.
• Set up the PATH appropriately.
• Set up a conda environment named 'test' and switch to it.
• Set the always_yes config option for conda to true so that you don't need to include --yes.
• Register the specified channels.
• export PYTHONIOENCODING=UTF8
• Supports custom skip tags included in the commit message that are not yet natively provided by Travis. To skip the travis build: [skip travis] or [travis skip]. To run only the docs build: [build docs] or [docs only]. The latter requires SETUP_CMD (see below) to be set to build_docs or build_sphinx.

Following this, various dependencies are installed depending on the following environment variables

• MAIN_CMD: if this starts with pycodestyle, flake, or pylint then the only package that gets installed is the pycodestyle, flake, or pylint package. Please note that the former name of the pycodestyle package is pep8, and ci-helpers still accepts it, too.

• SETUP_CMD: this can be set to various values:

  • egg_info: no dependencies are installed once the conda environment has been created and any other environment variables are ignored.

  • build_docs or build_sphinx: the Sphinx and matplotlib packages are installed in addition to other packages that might be requested via other environment variables.

  • test: runs the test suite after the dependencies are installed.

  In addition, if SETUP_CMD contains the following flags, extra dependencies are installed:

  • --coverage: the coverage, coveralls, and codecov packages are installed
  • --cov: the pytest-cov, coveralls, and codecov packages are installed
  • --parallel or --numprocesses: the pytest-xdist package is installed
  • --open-files: the psutil package is installed

• NUMPY_VERSION: if set to dev or development, the latest developer version of Numpy is installed along with Cython. If set to a version number, that version is installed. If set to stable, install the latest stable version of Numpy. If set to prerelease, the pre-release version of Numpy gets installed if there is any, otherwise the build exits and passes on Travis without running the tests. We try to avoid downloading and installing mkl, so unless mkl is specified as a dependency in CONDA_DEPENDENCIES, nomkl is used. On Windows the is only MKL, so while the nomkl package exists it does nothing, mkl is always needed to be installed.

• ASTROPY_VERSION: if set to dev or development, the latest developer version of Astropy is installed, along with Cython and jinja2, which are compile-time dependencies. If set to a version number, that version is installed. If set to stable, install the latest stable version of Astropy. If set to prerelease, the pre-release version of Astropy gets installed if there is any, otherwise the build exits and passes on Travis without running the tests. If set to lts the latest long term support (LTS) version is installed (more info about LTS can be found here.

• SUNPY_VERSION: if set to dev or development, the latest developer version of Sunpy is installed. If set to a version number, that version is installed. If set to stable, install the latest stable version of Sunpy. If set to prerelease, the pre-release version of Sunpy gets installed if there is any, otherwise the build exits and passes on Travis without running the tests.

• MINICONDA_VERSION: This sets the version of Miniconda that will be installed. Use this to override a pinned version if necessary.

• CONDA_DEPENDENCIES: this should be a space-separated string of package names that will be installed with conda. Version numbers of these dependencies can be overridden/specified with the PACKAGENAME_VERSION environment variables.

• PIP_DEPENDENCIES: this should be a space-separated string of package names that will be installed with pip.

• CONDA_DEPENDENCIES_FLAGS: additional flags to pass to conda when installing CONDA_DEPENDENCIES

• PIP_DEPENDENCIES_FLAGS: additional flags to pass to pip when installing PIP_DEPENDENCIES

• CONDA_CHANNELS: this should be a space-separated string of conda channel names. We don't add any channel by default.

• CONDA_ENVIRONMENT: this is a path to a file that should be used with conda env create -f $CONDA_ENVIRONMENT. This is applied to set up the test environment before the conda and pip dependencies (which otherwise act additively with this option).

• DEBUG: if True this turns on the shell debug mode in the install scripts, and provides information on the current conda install and switches off the -q conda flag for verbose output.

• SETUP_XVFB: if True this makes sure e.g., interactive matplotlib backends work by starting up a X virtual framebuffer.

• MPLBACKEND: If not specified it is set to Agg as the default backend.

• PACKAGENAME_VERSION: PACKAGENAME is the name of the package to specify the version for (e.g. MATPLOTLIB_VERSION). Due to shell limitations, all hyphens in the conda package name should be changed to underscores in PACKAGENAME_VERSION (e.g. for scikit-image it should be SCIKIT_IMAGE_VERSION). If specified it will override any version number limitations listed in CONDA_DEPENDENCIES.

• CONDA_CHANNEL_PRIORITY: can be set to True or False, and affects the channel_priority conda setting (as discussed here. The default is False.

• EVENT_TYPE: this should be a space-separated string of event types. If given, the build will run only if the TRAVIS_EVENT_TYPE matches with any of the listed ones. Otherwise the build exits and passes on Travis without running the tests. This is a way to control builds to run only on pushes to master, or for Travis cron jobs. Valid event types are: push, pull_request, api or cron.

• PIP_FALLBACK: the default behaviour is to fall back to try to pip install a package if installing it with conda fails for any reason. Set this variable to false to opt out of this.

• RETRY_ERRORS: a space-separated string of error names. If not set, this will default to RETRY_ERRORS="CondaHTTPError". When package installation via conda fails, the respective command's output (stdout and stderr) is searched for the strings in RETRY_ERRORS. If any of these is found, the installation will be automatically retried. Setting RETRY_ERRORS in appveyor.yml will overwrite the default.

• RETRY_MAX: an integer specifying the maximum number of automatic retries. If not set, this will default to RETRY_MAX=3. Setting RETRY_MAX to zero will disable automatic retries.

• RETRY_DELAY: a positive integer specifying the number of seconds to wait before retrying. If not set, this will default to RETRY_DELAY=2.

• MACOSX_DEPLOYMENT_TARGET (OSX only): If left blank, the minimum OSX target version for LLVM/Clang builds will be set to 10.9. If set to "clang_default", determining the minimum OSX target version is left to LLVM/Clang. If set to any different value, that value will be used.

The idea behind the MAIN_CMD and SETUP_CMD environment variables is that the script section of the .travis.yml file can be set to:

script:
    - $MAIN_CMD $SETUP_CMD

The typical usage will then be to set MAIN_CMD to default to python setup.py and then set SETUP_CMD='test', and this then allows special builds that have MAIN_CMD='pycodestyle' and SETUP_CMD=''.

Packages can also choose to not use the MAIN_CMD variable and instead to set the script section to:

script:
    - python setup.py $SETUP_CMD

and simply adjust SETUP_CMD as needed.

Following the set-up, if additional packages need to be installed, the CONDA_INSTALL environment variable should be used to make sure that the Python and Numpy versions stay fixed to those requested, e.g.

- $CONDA_INSTALL another_package

AppVeyor

Include the following lines at the start of the install section in appveyor.yml:

install:
    - "git clone --depth 1 git://github.com/astropy/ci-helpers.git"
    - "powershell ci-helpers/appveyor/install-miniconda.ps1"
    - "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%"
    - "activate test"

This does the following:

• Set up Miniconda.
• Set up the PATH appropriately.
• Set up a conda environment named 'test' and switch to it.
• Set the always_yes config option for conda to true so that you don't need to include --yes.
• Register the specified channels, or if not stated the astropy, astropy-ci-extras, and openastronomy channels.

Following this, various dependencies are installed depending on the following environment variables:

• NUMPY_VERSION: if set to dev or development, the latest developer version of Numpy is installed along with Cython. If set to a version number, that version is installed. If set to stable, install the latest stable version of Numpy.

• ASTROPY_VERSION: if set to dev or development, the latest developer version of Astropy is installed, along with Cython and jinja2, which are compile-time dependencies. If set to a version number, that version is installed. If set to stable, install the latest stable version of Astropy. If set to lts the latest long term support (LTS) version is installed (more info about LTS can be found here).

• SUNPY_VERSION: if set to dev or development, the latest developer version of Sunpy is installed. If set to a version number, that version is installed. If set to stable, install the latest stable version of Sunpy.

• MINICONDA_VERSION: this sets the version of Miniconda that will be installed. Use this to override a pinned version if necessary.

• CONDA_DEPENDENCIES: this should be a space-separated string of package names that will be installed with conda.

• CONDA_CHANNELS: this should be a space-separated string of conda channel names. We don't add any channel by default.

• DEBUG: if True this turns on the shell debug mode in the install scripts, and provides information on the current conda install and switches off the -q conda flag for verbose output.

• PIP_FALLBACK: the default behaviour is to fall back to try to pip install a package if installing it with conda fails for any reason. Set this variable to false to opt out of this.

• RETRY_ERRORS: a comma-separated string array containing error names. If not set, this will default to $RETRY_ERRORS="CondaHTTPError". When package installation via conda fails, the respective command's error output (stderr) is searched for the strings in RETRY_ERRORS. If any of these is found, the installation will be automatically retried. Setting RETRY_ERRORS in appveyor.yml will overwrite the default.

• RETRY_MAX: an integer specifying the maximum number of automatic retries. If not set, this will default to $RETRY_MAX=3. Setting RETRY_MAX to zero will disable automatic retries.

• RETRY_DELAY: a positive integer specifying the number of seconds to wait before retrying. If not set, this will default to $RETRY_DELAY=2.

Utils

A directory to collect all kinds of useful scripts to be used during various CI runs.

• import_submodules.py - utility script to make it possible to test importing submodules when optional dependencies, including pytest, are missing.

Details

The scripts include:

• appveyor/install-miniconda.ps1 - set up conda on Windows
• appveyor/windows_sdk.cmd - set up the compiler environment on Windows
• travis/setup_dependencies_common.sh - set up conda packages on Linux and MacOS X
• travis/setup_conda.sh - set up conda on MacOS X or Linux, users should use this directly rather than the OS specific ones below
• travis/setup_conda_linux.sh - set up conda on Linux
• travis/setup_conda_osx.sh - set up conda on MacOS X

This repository can be cloned directly from the .travis.yml and appveyor.yml files when about to run tests and does not need to be included as a sub-module in repositories.