Introduction

Package management of the analysis software that LCLS maintains for users is being transitioned to conda, from RPM's. This software includes psana (the software LCLS develops for working with experiment data), hdf5, openmpi, and many python packages such as numpy, scipy, ipython and scikit-beam. Advantages of this transition include

• easier for LCLS to integrate and update new software for users
• easier for users to customize their own environments with psana
• easier for offsite users to install psana

Users

This page:

User Documentation

covers how to get in and out of the conda environments. Everyone will find this page useful.

Psana Developers/C++ Users

psana developers will also need this page

Psana Developer Documentation

to learn how to create and manage test releases. LCLS users that write C++ psana modules will also need this information.

Administrators

Information on managing the environments is here

Admin Documentation 

Release Notes

Similar to the Pre-Conda Release Notes, we maintain release notes on the conda environment here:

Conda Release Notes

The conda based psana is in beta and ready for people to try. Do do so, please see

 Conda based Psana in LCLS central install

Not recommended, but here are notes on maintaining your own miniconda install that psana:

Adding Conda Packages to Self Managed Installation - for use outside LCLS or managing your own conda stack at LCLS
 

Internal Notes

There are a lot of JIRA issues that come off of this main ticket:

There are two related github repositories:

test an installed conda environment: https://github.com/davidslac/test-lcls-conda-build-system

manage the conda installations and environments: https://github.com/davidslac/manage-lcls-conda-build-system

Try to keep content in this master page small and create new child pages for topics.