python_installation

setup tensorflow, antlr on centos Server.

+ Install wget:

Add these lines into /etc/resolv.conf

nameserver 8.8.8.8
nameserver 8.8.4.4

+Install bz2,git:
yum install bzip2 (for anaconda extract)
sudo yum install git

+ Install gcc and g++:

yum install gcc-gfortran

yum install gcc-c++

+ Install java:

yum install java-1.7.0-openjdk java-1.7.0-openjdk-devel


+install anaconda:
Follow instruction from https://www.continuum.io/downloads

download sh file then run bash command.(bash Anaconda2-4.3.0-Linux-x86_64.sh)
to run anaconda2:
$ export PATH=/root/anaconda2/bin:$PATH


+ Install tensorflow by anaconda:
conda create -n tensorflow python=2.7
source activate tensorflow
conda install -c conda-forge tensorflow

+ Install some external lib:
install keras via source.
install antlr4
alias for antlr4:(alias antlr4='java -Xmx500M -jar /root/python-resources/antlr-4.5.3-complete.jar -Dlanguage=Python2 -no-listener -visitor')
install other python libs follow:
Steps to deploy the Python Sentiment System

pip
install nltk
install graphviz
install h5py
install gunicorn

(****)
build antlr:


    Install dependencies
        ANTLR tool http://www.antlr.org/download/antlr-4.5.3-complete.jar
        The complete tool list: http://www.antlr.org/download/
        ANTLR Runtime for Python (https://github.com/antlr/antlr4) (revision e9aa00e05b646f7d359717a6369d3f0aef6967b3)
        Flask (https://github.com/pallets/flask)
        MySQL Connector for Python (https://github.com/mysql/mysql-connector-python)
        Graphviz ( yum install 'graphviz*' ) or (pip install graphviz)
        Microsoft fonts

        wget http://www.itzgeek.com/msttcore-fonts-2.0-3.noarch.rpm

        rpm -Uvh msttcore-fonts-2.0-3.noarch.rpm

         Pydot (https://github.com/erocarrera/pydot)
        Cache Bust https://github.com/ChrisTM/Flask-CacheBust
        SimpleJson https://github.com/simplejson/simplejson.git
        Flask-HTTPAuth https://github.com/miguelgrinberg/Flask-HTTPAuth
        pyexcel-xlsx https://github.com/pyexcel/pyexcel-xlsx
        Flask-Excel https://github.com/pyexcel/Flask-Excel
        socketIO-client https://github.com/invisibleroads/socketIO-client
    For Python packages, the installation is quite simple, just clone the repository and execute two command:
        python setup.py build
        python setup.py install
    Checkout the Sentiment source code at https://git.younetco.com/rnd/Sentiment

    Setup environments:
        Setup environments for Python:
        Change the current directory to your source's location
        source  Config/yn_config.sh
        Setup MySQL Server's information in Config/MySQL_conf.py
     Build grammars:
        alias antlr4='java -Xmx500M -jar $YN_SENT_ROOT_DIR/Tools/antlr-4.5.3-complete.jar -Dlanguage=Python2 -no-listener -visitor'
        antlr4 mySentiment/Sentiment.g4
        antlr4 mySentiment/PostSentiment.g4
    Start Admin Tool service (include Unit Test, Sentiment Word Management):
    python WebApp/app.py
  

Install Python and ANTLR4:
Go to home directory:
cd~
Download Python 2.7.12:
wget https://www.python.org/ftp/python/2.7.12/Python-2.7.12.tar.xz
Extract and go to the directory
Install using the comands:
./configure
make
sudo checkinstall
Create environments variables for Python for the main project:
export SENT_PROJ_PATH=~/Sentiment
export YN_SENT_ROOT_DIR=$SENT_PROJ_PATH
export PYTHONPATH=$YN_SENT_ROOT_DIR
source ~/.bashrc
Download the complete ANTRL4 jar file:

wget http://www.antlr.org/download/antlr-4.5.3-complete.jar

Clone ANTRL4 source:
git clone https://github.com/antlr/antlr4.git
Extract and go to the directoy
Build the Python 2.7 runtime for ANTLR:
cd runtime/Python2
python setup.py install
Create alias for compiling grammar file:

alias antlr4='java -Xmx500M -cp ~/antlr-4.5.3-complete.jar org.antlr.v4.Tool -Dlanguage=Python2 -no-listener -visitor'
source ~/.bashrc