Develop a multi-threaded notebook-based configuration and monitoring interface for demonstrating the PST statistics monitor functionality

A Jupyter notebook will be developed that demonstrates how to

• connect to the PST Tango control interface
• load a scan configuration from a file
• configure PST to record voltage data to disk
• perform one or more scans
• load and plot PST data quality statistics

During each scan, one cell of the notebook will enter a loop in a separate thread (using the python multiprocessing library) and repeatedly

• query and print PST status information, and
• plot data quality statistics that are periodically written to files in local storage

This loop is run as a background process so that the notebook remains interactive and it continues to be possible to issue commands to PST.

This notebook will be executed in a JupyterLab instance that is deployed with the PST test-parent chart, providing the notebook with access to the

• PST Tango host,
• storage volumes allocated to PST, and
• PST testing libraries and simulators.