1. Python Tools for Control System Access
T. Levens, R. De Maria
M. Betz, M. Fitterer, C. Hernalsteens
+ other contributors

2. Brief overview of available tools
PyTimber
PyJapc
cmmnbuild-dep-manager

3. PyTimber
CERN Accelerator Logging Service (CALS) stores a large quantity of data required for analysis of accelerator performance
Timber GUI has analysis capabilities but is difficult to use for complex/automated analysis
Command line tool for extraction only supports a limited subset of features
 PyTimber developed to fill the gaps

4. PyTimber design criteria
Goal: provide a simple interface to CALS for interactive data analysis:
Get data with a few lines of code
Work well in the typical scientific Python ecosystem (numpy, Jupyter, etc)
Use native python objects for input and output: string, list/dict, np.array
Expose a stable & predictable API
Keep performance under control
Available from lxplus, TN consoles, SWAN, users machines
Reduce prerequisites to the minimum

5. PyTimber example
More examples…

6. PyTimber developments
Developed as an “open source” model… contributions welcome!
Hosted on GitHub:
Work started on “helper classes” for commonly used data processing
Example for LHC BSRT:

7. PyJapc
Python script
PyJapc
Access to accelerator devices requires communication via CMW (RDA+RBAC)
Bindings in C++/Java
Desire for Python support for rapid development and scripting of MDs
 PyJapc developed

8. PyJapc simple example
Setup: Get a parameter: Set a parameter: Get again:
Documentation: Examples:

9. LHC Transverse Damper Diagnostics (Matt Mician)
Booster Diagnostics (Simon Albright)
BBQ Viewer (Tom Levens)

10. cmmnbuild-dep-manager
PyTimber & PyJapc use JPype for access to Java classes
Requires management of Java dependencies (.JAR files)
CO provide CommonBuild CBNG for this task  wrapper in Python
New version 2.0 migrates to CBNG (using web service for resolution)
Please upgrade if you have a local Python installation: pip install cmmnbuild-dep-manager --upgrade --no-deps

11. Conclusion
Various tools have been developed in the past for access to accelerator data from Python  now trying to combine efforts
PyJapc and PyTimber are now (reasonably) stable
Developed with an open source model – we welcome patches and more developers!
Please join MD Scripting Tools community and get involved: