3.3.1. Linux Installation

RMG-Py and all of its dependencies may be easily installed through a short series of Terminal commands. The instructions listed below were written for Ubuntu 12.04 and should generally apply to other distributions.

Warning: This installation method is no longer actively maintained, and is not guaranteed to work as written.

  • Install compilers and libraries:

    sudo apt-get install git g++ gfortran python-dev liblapack-dev
    sudo apt-get install python-openbabel python-setuptools python-pip
  • After creating a Github account, generate your public key:

    cd ~; ssh-keygen                # press enter to save to the default directory
                                    # create a password if desired
    cat .ssh/id_rsa.pub

    Copy this public key to your Github profile.

  • Install dependencies:

    sudo apt-get install libpng-dev libfreetype6-dev graphviz
    sudo pip install numpy          # install NumPy before other packages
    sudo pip install scipy cython nose matplotlib quantities sphinx psutil xlwt
    cd ~
    git clone https://github.com/ReactionMechanismGenerator/PyDAS.git
    git clone https://github.com/ReactionMechanismGenerator/PyDQED.git
    cd PyDAS; make F77=gfortran; sudo make install; cd ..
    cd PyDQED; make F77=gfortran; sudo make install; cd ..
  • Install RDKit

    Full installation instructions: http://code.google.com/p/rdkit/wiki/GettingStarted Be sure to build it with InChI support. Here’s a synopsis:

    cd ~
    sudo apt-get install flex bison build-essential python-numpy cmake python-dev sqlite3
    sudo apt-get install libsqlite3-dev libboost-dev libboost-python-dev libboost-regex-dev
    git clone https://github.com/rdkit/rdkit.git
    cd rdkit
    export RDBASE=`pwd`
    cd External/INCHI-API
    cd ../../
    mkdir build
    cd build
    make install

    You’ll need various environment variables set (you may want to add these to your .bash_profile file), eg.:

    export RDBASE=$HOME/rdkit # CHECK THIS (maybe you put RDKit somewhere else)
    export PYTHONPATH=$PYTHONPATH:$RDBASE  # (or some other way to make sure it's on your Python path)
  • The following dependencies are also required for core RMG functions and must be installed from source before building RMG:

    pyrdl: RingDecomposerLib, used for ring perception. Download from https://github.com/rareylab/RingDecomposerLib. Requires CMAKE to compile.

    lpsolve: Mixed integer linear programming solver. Download from https://sourceforge.net/projects/lpsolve/. Python extension also required.

  • Install RMG-Py:

    cd ~
    git clone https://github.com/ReactionMechanismGenerator/RMG-database.git
    git clone https://github.com/ReactionMechanismGenerator/RMG-Py.git
    sudo pip install -r RMG-Py/requirements.txt
    cd RMG-Py
  • Run an example:

    python rmg.py examples/rmg/minimal/input.py

    Verify your installation by opening the resulting output.html file under the “examples/rmg/minimal” directory.

    You can also use the Makefile targets to test and run examples:

    make test
    make eg1
    make eg2
  • Compiling RMG-Py with Sensitivity Analysis:

    Running sensitivity analysis in RMG-Py requires the prerequisite DASPK solver and DASPK compiled wrapper in PyDAS. To do so first compile daspk in PyDAS and agree to download the daspk31.tgz file when prompted.

    cd PyDAS/
    make install

    Then compile RMG-Py normally. It will automatically be compiled with sensitivity analysis if DASPK is found.

    cd RMG-Py
    make clean-solver

    Note that using this option will allow RMG to both run with and without sensitivity.