jenkins.sh

#!/usr/bin/env bash

cd `dirname $0`

#download nltk python dependencies
pip install --upgrade -r pip-req.txt --allow-external matplotlib --allow-unverified matplotlib

#download nltk data packages
python -c "import nltk; nltk.download('all')" || echo "NLTK data download failed: $?"

#download external dependencies
pushd ${HOME}
[[ ! -d 'third' ]] && mkdir 'third'
pushd 'third'

#download nltk stanford dependencies
stanford_corenlp_package_zip_name=$(curl -s 'http://stanfordnlp.github.io/CoreNLP/' | grep -o 'stanford-corenlp-full-.*\.zip' | head -n1)
[[ ${stanford_corenlp_package_zip_name} =~ (.+)\.zip ]]
stanford_corenlp_package_name=${BASH_REMATCH[1]}
if [[ ! -d ${stanford_corenlp_package_name} ]]; then
	wget -nv "http://nlp.stanford.edu/software/$stanford_corenlp_package_zip_name"
	unzip ${stanford_corenlp_package_zip_name}
	rm ${stanford_corenlp_package_zip_name}
	ln -s ${stanford_corenlp_package_name} 'stanford-corenlp'
	# Kill all Java instances.
	#pkill -f '*edu.stanford.nlp.pipeline.StanfordCoreNLPServer*'
	#cd stanford-corenlp
	##nohup java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000 &
	# Log the job ID and kill it before the end.
	#CORENLP_PID=$!
	#cd ..
fi

stanford_parser_package_zip_name=$(curl -s 'https://nlp.stanford.edu/software/lex-parser.shtml' | grep -o 'stanford-parser-full-.*\.zip' | head -n1)
[[ ${stanford_parser_package_zip_name} =~ (.+)\.zip ]]
stanford_parser_package_name=${BASH_REMATCH[1]}
if [[ ! -d ${stanford_parser_package_name} ]]; then
	wget -nv "https://nlp.stanford.edu/software/$stanford_parser_package_zip_name"
	unzip ${stanford_parser_package_zip_name}
	rm ${stanford_parser_package_zip_name}
	ln -s ${stanford_parser_package_name} 'stanford-parser'
fi

stanford_tagger_package_zip_name=$(curl -s 'https://nlp.stanford.edu/software/tagger.shtml' | grep -o 'stanford-postagger-full-.*\.zip' | head -n1)
[[ ${stanford_tagger_package_zip_name} =~ (.+)\.zip ]]
stanford_tagger_package_name=${BASH_REMATCH[1]}
if [[ ! -d ${stanford_tagger_package_name} ]]; then
	wget -nv "https://nlp.stanford.edu/software/$stanford_tagger_package_zip_name"
	unzip ${stanford_tagger_package_zip_name}
	rm ${stanford_tagger_package_zip_name}
	ln -s ${stanford_tagger_package_name} 'stanford-postagger'
fi

# Download SENNA
senna_file_name=$(curl -s 'http://ml.nec-labs.com/senna/download.html' | grep -o 'senna-v.*.tgz' | head -n1)
senna_folder_name='senna'
if [[ ! -d $senna_folder_name ]]; then
        wget -nv "http://ml.nec-labs.com/senna/$senna_file_name"
        tar -xvzf ${senna_file_name}
        rm ${senna_file_name}
fi

# Setup the Enviroment variable
export CLASSPATH=$(pwd)"/${stanford_corenlp_package_name}"
export CLASSPATH=${CLASSPATH}:$(pwd)"/${stanford_parser_package_name}"
export CLASSPATH=${CLASSPATH}:$(pwd)"/${stanford_tagger_package_name}"
export STANFORD_CORENLP=$(pwd)'/stanford-corenlp'
export STANFORD_PARSER=$(pwd)'/stanford-parser'
export STANFORD_MODELS=$(pwd)'/stanford-postagger/models'
export STANFORD_POSTAGGER=$(pwd)'/stanford-postagger'
export SENNA=$(pwd)'/senna'

popd
popd

echo "---- CLASSPATH: ----"
echo $CLASSPATH
echo "---- MODELS: ----"
echo $STANFORD_MODELS

#coverage
coverage erase
coverage run --source=nltk nltk/test/runtests.py --with-xunit
coverage xml --omit=nltk/test/*
iconv -c -f utf-8 -t utf-8 nosetests.xml > nosetests_scrubbed.xml
pylint -f parseable nltk > pylintoutput

# Kill the core NLP server.
#kill -9 $CORENLP_PID

#script always succeeds
true