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lcls-cu-inj-live

This project contains the tools for running the live online model for the lcls-cu injector. The model is served over EPICS and the client uses bokeh for web-based rendering.

Environment

The environment for this project may be set up using conda using the included environment.yml:

$ conda env create -f environment.yml

Once complete, activate the environment:

$ conda activate lcls-cu-inj-live

If using custom classes or models defined in the repository, the repository root must be included in the PYTHONPATH.

From repostitory root:

$ export PYTHONPATH=$(pwd)

Server

Serve the client using the test prefix:

$ serve-from-template files/model_config.yml test

Client

The client for this demo may be launched either using the tools packaged with lume-epics for auto client generation or with the custom built client. Using the lume-epics tools, the client may be launched using the command:

$ render-from-template {FILENAME} {PROTOCOL} {PREFIX} --read-only

The optional read-only flag determines whether the client will be launched with controls. Clients rendered in read-only mode will also produce a striptool per scalar variable as opposed to a striptool with the selection option.

To launch the display using a Channel Access client:

$ render-from-template files/model_config.yml ca test

The pre-built read only client may be launched using:

$ bokeh serve app --args {PREFIX} {PROTOCOL}

Instructions to run at LCLS

As of now, it is recommended to run everything from mcc-simul.

ssh mcc-simul
# If not yet checked out:
git clone https://github.com/slaclab/lcls-cu-inj-live.git
cd lcls-cu-inj-live
# Start the model server and PV bridge
./start_all &

If running the model server outside of mcc-simul

  • Edit start_webserver, change line 6 and replace mcc-simul with the hostname with the proper one for the model server so the web server can reach the PVs.