Building From Source

Requirements

• Python 2.4 or 2.5 http://www.python.org
• Graphviz http://www.graphviz.org
• Qt 4.2.0 (or above) Open Source Edition http://www.trolltech.com/products/qt/index.html
• PyQt4 (v4.2)http://www.riverbankcomputing.co.uk/pyqt/index.php and SIP (4.6) http://www.riverbankcomputing.co.uk/sip/index.php
• ctypes http://python.net/crew/theller/ctypes/ (or from sourceforge) (Note: if you have Python 2.5, ctypes in installed by default)

For running various not-required packages and features (packages are listed last, in parentheses):

• PyXML http://pyxml.sourceforge.net (web services)
• fpconst http://www.warnes.net/rwndown/~warnes/fpconst (or from the Cheese Shop) (web services)
• SOAPpy http://pywebsvcs.sourceforge.net (web services)
• MySQLdb http://sourceforge.net/projects/mysql-python (execution logging)
• VTK http://www.vtk.org (vtk)
• numpy http://www.numpy.org (scipy)
• scipy http://www.scipy.org (scipy)
• matplotlib http://matplotlib.sourceforge.net/ (pylab)

Instructions

Click here for Specific Instructions for Mac OS X

• Install Graphviz

• Install Python
  • On most Linux distributions it comes by default.
  • On Windows: Get the msi release here
  • Add the installation directory to the PATH variable

• Install Python Extensions
  • PyXml is needed for web services and is available here. There's a binary package for Mac here
    • To install it from source, download the .tar.gz file and uncompress it
    • Then inside the uncompressed folder, type: python setup.py build and later sudo python setup.py install
  • fpconst and SOAPpy are also required for using web services. fpconst is available here. SOAPpy is available here
  • For WINDOWS & LINUX: we need ctypes available here

• Install VTK CVS version (if you want to use VTK)
  • First you'll need CMake: get the latest release here
  • Then you can get vtk: follow the instructions to download the CVS source code on this page
  • (Skip this step if you don't need to run CORIE workflows) Follow these instructions to add CORIE and other needed files to VTK.
  • To compile VTK follow the instructions in the file README.html in the root of VTK directory tree
  • On configuring CMake, make sure that the variables VTK_WRAP_PYTHON, VTK_USE_GUISUPPORT, VTK_USE_DISPLAY are ON and VTK_USE_QVTK is OFF
  • It is recommended to create a environment variable called PYTHONPATH
    • PYTHONPATH=<path/to/vtk_build>/Wrapping/Python:<path/to/vtk_build>/bin:.
• Install Qt 4.2.0 or above (Qt 4.2.3 recommended)
  • You can get the open source version for all platforms here
  • When installing on windows, Qt requires the mingw compiler. It will also offer to download and install automatically for you
  • After installing you need to build the Qt library:
  • (Skip this step if you're not a windows user) Run the Qt 4.2.x Command Prompt located in the Qt Program Folder (it will set all the environment variables to build the library for you).
  • Run configure then make
• Install SIP
  • Get the stable release version available here. (The latest snapshot version is here)
  • Uncompress the file, and inside the directory, type python configure.py. On WIndows type python configure.py -p win32-g++. On 64-bit Linux type python configure.py -d /usr/lib64/python2.4/site-packages/. Then make and make install
• Install PyQt4
  • Get the stable version, available here. (The latest snapshot version is here)
  • Uncompress the file, and inside the directory, type python configure.py. On 64-bit Linux type python configure.py -d /usr/lib64/python2.4/site-packages/. Then make and make install
• Install MySQLdb (Python library allowing MySQL databases access)
  • The file is available here
• Install SciPy (Necessary for the SciPy package)
  • Windows
    • Download and install the binary version of NumPy and SciPy
  • Linux
    • Download and install BLAS [1] - Note: Most package managers allow easy download and installation through the native interface however; you must also get the source code and set the environment variable BLAS_SRC
    • Download and install LAPACK [2] - Note: Most package managers allow easy download and installation through the native interface however; you must also get the source code and set the environment variable LAPACK_SRC
    • Download and install numpy [3]
    • Download and install scipy [4]
• Install matplotlib
  • Windows
    • Get it here
  • Linux
    • Files are available here
• Install ctypes
  • The source is avalable here