Ha14 installation
Prerequisites
While these tutorials assume you wish to process XTC streams at SLAC, some users have stills collected from other sources and do not need the full PSDM suite. If this is the case, see the installation directions below for installing on a non PSDM system. Otherwise, it is assumed that the PSDM software distribution has been set up. Note again that several sites already have cctbx.xfel installed, and so regular users not involved in the development of the software will not need the instructions here.
Once cctbx.xfel has been installed it must be set up before it can be used. Developers may additionally want to set up an ssh-agent.
Finally, you must have a user account on cci.lbl.gov in order to proceed, or else you will not be able to download the sources. A sourceforge account is only needed if you wish to commit changes back to the repository. If you don't have or don't want to use a sourceforge account, you can leave it off in the below commands where it is specified.
Standard installation using PSDM
Quick start
This step has to be performed on a host with Internet access. Not all hosts at SLAC have that, but the members of e.g. pslogin pool do. Make and change to a working directory to contain the new source code and build (this directory should be accessible from any computing nodes cctbx.xfel will be run. Then download these bootstrap modules:
wget https://raw.githubusercontent.com/cctbx/cctbx_project/master/libtbx/auto_build/bootstrap.py
Then:
python bootstrap.py hot update --builder=xfel --cciuser=<cciusername> --sfuser=<githubusername>
This command instructs bootstrap.py to download static packages required for cctbx.xfel (hot), and then to checkout the rest of the sources from cci.lbl.gov and github (update), using the user accounts specified by the cciuser and sfuser parameters, respectively.
Alternate instructions for non-LBNL developers
Our non-LBNL colleagues will now realize that the "python bootstrap" step does not work without cci username credentials, needed to obtain source code for the program LABELIT. Developers are instructed to use the following alternate procedure:
python bootstrap.py hot --builder=xfel --sfuser=<githubusername> # download the static packages python bootstrap.py update --builder=dials --sfuser=<githubusername> # download the github code for dials & cctbx mkdir modules/cxi_xdr_xes # create a stub directory for experiment-specific python code
Then download phenix from http://phenix-online.org and untar the package. Locate the modules directory in the phenix directory tree, and copy-paste the labelit subdirectory into the modules directory of your current working area.
Finish up the build
After downloading the sources, you need to be sure you have the appropriate compilers before executing the next command. At SLAC, that means you need to ssh to one of the psana nodes, as the pslogin nodes do not have the requisite compilers. When ready, configure and compile thusly:
python bootstrap.py build --builder=xfel --with-python=`which python` --nproc=<# cores available for compile>
On SLAC's interactive nodes, this takes just over 6 minutes. To avoid problems with run-time dynamic linking of Python extensions, the Python interpreter required for the above command must be the one provided by the PSDM software distribution. That interpreter can be located using find, e.g.
$ find $SIT_ROOT/sw/external/python -perm /0111 -type f -wholename "*/$SIT_ARCH/*/python" 2> /dev/null
At SLAC this interpreter is located somewhere under /reg/g/psdm/sw/external/python. Here we use `which python` to get this path automatically.
Initialise the running shell using the newly created configuration files. bash-users should
$ . build/setpaths.sh
while csh-users will instead need to run
% source build/setpaths.csh
To finalize the installation, see Setup.
Note, you may also follow this procedure if you are on a machine where you have your own python that you want to use, instead of the one provided by PSDM.
Installation on a non-PSDM system
If you find yourself on a machine without PSDM and won't be dealing with XTC directly, for example if you have your own data collected as stills from a non-XFEL source, you can use the below commands in a new directory (again assuming you have a cci user account):
# On Linux: wget https://raw.githubusercontent.com/cctbx/cctbx_project/master/libtbx/auto_build/bootstrap.py # On MacOSX: curl https://raw.githubusercontent.com/cctbx/cctbx_project/master/libtbx/auto_build/bootstrap.py > bootstrap.py
python bootstrap.py hot update base build --builder=xfel --cciuser=<cciusername> --sfuser=<sourceforgeusername>
Here, in addition to hot, update and build, there's a command called 'base', which downloads a python and needed packages and compiles it. After this process completes, source the installation (for details see above), and then add scipy to it:
. build/setpaths.sh libtbx.python -m easy_install scipy
Please contact the authors if with any issues. Some gotchas:
1) On a Mac, you will need to make sure you have the latest version of xcode installed. Consider the command xcode-select --install. [NOTE: Xcode v. 8.2.1. for Mac OS 10.12 (Sierra) does not include a gFortran compiler. You will need to install gFortran separately if you need scipy.]
2) On linux you will likely need to install some dependencies, including gFortran. [Note: gFortran is needed only for the scipy installation, not for the core build based on cctbx. Therefore, only install gFortran if you need scipy.]
External links