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.travis.yml
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# .travis.yml python 27 to 3, with Miniconda Date : 2018-07-13
# FEATURES: pytest, flake8, pandas, pip and conda. fecon236
# By default, Travis uses PIP to manage Python dependencies.
# ___ATTN___ If you have a requirements.txt file, Travis runs
# pip install -r requirements.txt
# during the install phase of the build.
# Check the BUILD STATUS page to see if your build passes or fails:
# For PUBLIC repositories: https://travis-ci.org/auth
# For PRIVATE repositories: https://travis-ci.com/auth
# PHASE - the sequential steps of a job.
# For example, the install phase, comes before the script phase,
# which comes before the optional deploy phase.
# Commits that have [ci skip] or [skip ci] anywhere in the commit messages
# are ignored by Travis CI. When multiple commits are pushed together, that
# takes effect only if present in the HEAD commit.
# REFERENCES
# trusty:= Ubuntu 14.04 distribution.
# Python setup: https://docs.travis-ci.com/user/languages/python
# Install dependencies: https://docs.travis-ci.com/user/installing-dependencies
# Customization: https://docs.travis-ci.com/user/customizing-the-build
# Notifications: https://docs.travis-ci.com/user/notifications
# Newbie: https://docs.travis-ci.com/user/for-beginners
# CHANGE LOG
# 2018-07-13 Add notifications for https://gitter.im/MathSci/fecon236
# 2018-06-04 conda install sympy pandas-datareader [Not pandas_datareader]
# 2018-05-12 conda install some scientific packages.
# 2018-05-01 Lower 3.6 env to 3.4.
# 2018-04-25 First version from try_repo
# Exclude "oLocal" Only Local tests by pytest.
# ==============================================================================
sudo: false
# "false" implies CONTAINER-BASED, default for new projects.
# Linux Ubuntu environment running in a container.
# Does NOT support the use of sudo, setuid, or setgid.
#
# SUDO-ENABLED runs on full virtual machine. It starts a little slower,
# but it has more computational resources, and
# supports the use of sudo, setuid, and setgid.
# Setting is "sudo: enabled"
language: python
env:
global:
# DOCTR deploy key: automatically deploying docs from Travis CI
# to GitHub pages. Doctr requires python >=3.5
# Ref: https://github.com/drdoctr/doctr
- secure: "foo_long_string"
matrix:
fast_finish: true
# ^Marks the build as finished ASAP.
include:
# - dist: trusty
# env:
# - PYTHON=3.6 PANDAS=0.22 DOCBUILD=true
# - dist: trusty
# env:
# - PYTHON=3.6 PANDAS="MASTER"
- dist: trusty
env:
- PYTHON=3.4 PANDAS=0.22
# Must repeat exactly in "allow failures:" section...
- dist: trusty
env:
- PYTHON=2.7 PANDAS=0.22
allow_failures:
- dist: trusty
env:
- PYTHON=2.7 PANDAS=0.22
# By 2020-01-01, we pledge to deprecate straddling code.
install:
# # Use conda to install instead, since flake8 is python-version dependent:
# # http://flake8.pycqa.org/en/latest/
# - pip install -qq flake8
#
# Periodically update conditional, although conda update line
# will keep everything up-to-date:
- if [[ "$PYTHON" == "2.7" ]]; then
wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
else
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
fi
- bash miniconda.sh -b -p $HOME/miniconda
- export PATH="$HOME/miniconda/bin:$PATH"
- hash -r
# Q: What is hash for? TODO
- conda config --set always_yes yes --set changeps1 no
- conda config --add channels pandas
- conda update -q conda
- conda info -a
# ^useful for debugging any issues with conda.
- conda create -q -n test-environment python=$PYTHON coverage setuptools html5lib lxml pytest pytest-cov wrapt
- source activate test-environment
- if [[ "$PANDAS" == "MASTER" ]]; then
conda install numpy pytz python-dateutil;
PRE_WHEELS="https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com";
pip install --pre --upgrade --timeout=60 -f $PRE_WHEELS pandas;
else
conda install pandas=$PANDAS;
fi
# - if [[ $DOCBUILD ]]; then
# conda install sphinx ipython matplotlib;
# pip install sphinx_rtd_theme doctr;
# fi
# - pip install beautifulsoup4
# - pip install coveralls --quiet
# # ^for "after success:" section below.
- conda install flake8 numpy statsmodels scipy matplotlib sympy pandas-datareader
- conda list
- python setup.py install
script:
# - export ENIGMA_API_KEY=$ENIGMA_API_KEY
# - pytest -s -r xX --cov-config .coveragerc --cov=pandas_datareader --cov-report xml:/tmp/cov-datareader.xml --junitxml=/tmp/datareader.xml
- pytest -s -r xX --doctest-modules -k 'not oLocal' tests
# -r xX means show extra test summary info as specified by chars
# for (x)failed, (X)passed.
# -s means --capture=no for per-test capturing method: fd|sys|no.
# Note we skip options pytest-cov plugin for code coverage.
- flake8 --version
- flake8 fecon236
# ^package directory, not tests ...
# flake8 gives false whitespace errors in DOCTESTS which cannot be ignored.
# __________ GITTER NOTIFICATIONS for https://gitter.im/MathSci/fecon236
# Ref: https://docs.travis-ci.com/user/notifications
notifications:
webhooks:
urls:
- https://webhooks.gitter.im/e/bb5942f96f76e691a0e3
on_success: always # options: [always|never|change] default: always
on_failure: always # options: [always|never|change] default: always
on_start: never # default: never
on_cancel: always # default: always
on_error: always # default: always
# ============================================================ ENDNOTES ========
# _______________ 2018-04-06 pandas_datareader
#
# after_success:
# - |
# if [[ ${DOCBUILD} ]]; then
# cd docs
# make html && make html
# cd ..
# doctr deploy devel --build-tags
# if [[ -z ${TRAVIS_TAG} ]]; then
# echo "Not a tagged build."
# else
# doctr deploy stable --build-tags
# fi
# fi
# - coveralls
# # See https://coveralls.io/features for COVERALLS
# __________ pytest-cov plugin and Coveralls
#
# Coverage.py is a tool to measure the code coverage of Python programs. In
# the context of testing, it can be used to measure the code coverage when
# running pytest, which effectively translate code coverage to test
# coverage. Here we use the pytest-cov plugin to call this tool during test
# so that we translate the code coverage to test coverage.
#
# Coveralls is a web service that displays the code coverage information
# generated by the Coverage.py tool. The coveralls package can be
# installed in Travis. The coveralls command will publish the coverage
# information to http://coveralls.io.