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y-p
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Merge pull request #6180 from y-p/PR_cron_docs
BLD: commit automated cron script for setting up linux/py2 doc build env
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ci/cron/go_doc.sh

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#!/bin/bash
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# This is a one-command cron job for setting up
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# a virtualenv-based, linux-based, py2-based environment
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# for building the Pandas documentation.
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#
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# The first run will install all required deps from pypi
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# into the venv including monsters like scipy.
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# You may want to set it up yourself to speed up the
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# process.
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#
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# This is meant to be run as a cron job under a dedicated
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# user account whose HOME directory contains this script.
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# a CI directory will be created under it and all files
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# stored within it.
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#
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# The hardcoded dep versions will gradually become obsolete
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# You may need to tweak them
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#
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# @y-p, Jan/2014
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# disto latex is sometimes finicky. Optionall use
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# a local texlive install
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export PATH=/mnt/debian/texlive/2013/bin/x86_64-linux:$PATH
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# Having ccache will speed things up
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export PATH=/usr/lib64/ccache/:$PATH
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# limit disk usage
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ccache -M 200M
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BASEDIR="$HOME/CI"
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REPO_URL="https://github.com/pydata/pandas"
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REPO_LOC="$BASEDIR/pandas"
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if [ ! -d $BASEDIR ]; then
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mkdir -p $BASEDIR
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virtualenv $BASEDIR/venv
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fi
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source $BASEDIR/venv/bin/activate
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pip install numpy==1.7.2
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pip install cython==0.20.0
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pip install python-dateutil==2.2
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pip install --pre pytz==2013.9
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pip install sphinx==1.1.3
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pip install numexpr==2.2.2
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pip install matplotlib==1.3.0
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pip install lxml==3.2.5
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pip install beautifulsoup4==4.3.2
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pip install html5lib==0.99
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# You'll need R as well
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pip install rpy2==2.3.9
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pip install tables==3.0.0
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pip install bottleneck==0.7.0
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pip install ipython==0.13.2
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# only if you have too
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pip install scipy==0.13.2
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pip install openpyxl==1.6.2
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pip install xlrd==0.9.2
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pip install xlwt==0.7.5
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pip install xlsxwriter==0.5.1
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pip install sqlalchemy==0.8.3
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if [ ! -d "$REPO_LOC" ]; then
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git clone "$REPO_URL" "$REPO_LOC"
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fi
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cd "$REPO_LOC"
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git reset --hard
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git clean -df
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git checkout master
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git pull origin
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make
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source $BASEDIR/venv/bin/activate
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export PATH="/usr/lib64/ccache/:$PATH"
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pip uninstall pandas -yq
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pip install "$REPO_LOC"
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cd "$REPO_LOC"/doc
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python make.py clean
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python make.py html
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if [ ! $? == 0 ]; then
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exit 1
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fi
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python make.py zip_html
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# usually requires manual intervention
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# python make.py latex
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# If you have access:
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# python make.py upload_dev

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