Re: NTNDArray with attributes using QSRV group Pas

["Veseli, Sinisa via Tech-talk" <tech-talk at aps.anl.gov>]

Just to add to this, pvapy can now run both CA IOC (with built in record types) together with PVA Server. Here are some examples:

https://github.com/epics-base/pvaPy/blob/master/pvapy/cli/adSimServer.py

https://github.com/epics-base/pvaPy/blob/master/examples/caIocExample.py

Sinisa

--

Siniša Veseli

Scientific Software Engineering & Data Management

Advanced Photon Source

Argonne National Laboratory

sveseli at anl.gov

(630)252-9182

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From: Kasemir, Kay <kasemirk at ornl.gov>
Sent: Wednesday, November 2, 2022 10:49 AM
To: Veseli, Sinisa <sveseli at anl.gov>; tech-talk at aps.anl.gov <tech-talk at aps.anl.gov>; Joao Paulo Martins <JoaoPaulo.Martins at ess.eu>
Subject: Re: NTNDArray with attributes using QSRV group Pas

 

> Although this does not help with your problem, perhaps it is worth looking into as possible alternative approach for serving images:

>>> import time

>>> import pvaccess as pva

>>> attr = pva.NtAttribute('x', pva.PvInt(3))

>>> attr['timeStamp'] = pva.PvTimeStamp(time.time())

>>> nda = pva.NtNdArray()

...

Combine this with the PyDevice, https://github.com/klemenv/PyDevice (for more see also recent EPICS meeting), you can have an IOC where some record calls python code, and in there you then assemble & publish the PVA data.

The result could either be a very elegant solution that offers the best of IOC record processing and python for assembling the complex data, or a Franken-IOC. It's certainly worth exploring as an alternative to growing the "info(group..." syntax.