hhslepicka / pydm-iocs-docker

Docker Container with Simulated IOCs for PyDM

PyDM IOCs Docker

A docker image with Simulated Motors and AreaDetector IOCs built-in.

How to run the container

$ docker pull pydm/pydm-iocs:latest
$ docker run --rm -it -p 5064:5064 -p 5064:5064/udp -p 5065:5065 pydm/pydm-iocs

Which IOCs are available

Motor Record Instances

IOC:m1 .. IOC:m6

Area Detector SimDetector Instance

13SIM1:cam1 .. 13SIM1:cam2

Linker

In order to simulate a beam alignment the Linker IOC connects Motor IOC:m1 to the 13SIM1:cam1:PeakStartX and IOC:m2 to 13SIM1:cam1:PeakStartY. This generates the effect of a beam alignment since when those motors are moved the simulated peak moves on the image.

Linker Database

This is the db file used for the linker.

record(seq, "linkX")
{
	field(DESC, "Link to X Start on camera")
	field(DOL1, "IOC:m1.RBV CP")
	field(LNK1, "13SIM1:cam1:PeakStartX CA PP")
}

record(seq, "linkY")
{
	field(DESC, "Link to Y Start on camera")
	field(DOL1, "IOC:m2.RBV CP")
	field(LNK1, "13SIM1:cam1:PeakStartY CA PP")
}

How to build the container

You can build the container, for example, like this:

$ git clone https://github.com/hhslepicka/pydm-iocs-docker.git
$ cd pydm-iocs-docker
$ docker build -t pydm/pydm-iocs .