Running OCS Clients

All the OCS Agents should now be running in Docker containers. To command them we run an OCS Client. Examples of OCS Clients can be found in the ocs/clients directory. As an example, we can start data acquisition on a Lakeshore using ocs/clients/start_new_therm.py:

$ python3 start_new_therm.py --target=LSA23JD
2019-01-10T11:53:52-0500 transport connected
2019-01-10T11:53:52-0500 session joined: SessionDetails(realm=<test_realm>, session=1042697241527250, authid=<GJJU-4YG3-3UCG-CSMJ-TQTW-PWSM>, authrole=<server>, authmethod=anonymous, authprovider=static, authextra=None, resumed=None, resumable=None, resume_token=None)
2019-01-10T11:53:52-0500 Entered control
2019-01-10T11:53:52-0500 Registering tasks
2019-01-10T11:53:52-0500 Starting Aggregator
2019-01-10T11:53:52-0500 Starting Data Acquisition

Once you have started data collection, the data is being acquired by the Lakeshore Agent and published over the crossbar server to the Aggregator Agent. There it is being written to disk at the location you have configured (/data in our example). The data is also passed to the live monitor, where it can be displayed in Grafana. We still discuss configuring Grafana in the next section.