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  1. SAFe Program
  2. SP-2004

Analyse simplest interface to test equipment for sITF

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    • Spike
    • Must have
    • PI14
    • None
    • None
    • Services
    • Hide

      As we are nearing construction it is paramount not to reinvent the wheel, and use what is available to us. Also, removing layers of complexity would be ideal, considering how connection to testing equipment should work.

      This Spike aims at understanding the work necessary to control test equipment using Tango, opening the possibilities to create widgets inside Taranta dashboards to control the  testing equipment and monitor SKA devices etc from central dashboards.

      The benefit would be to make informed decisions on the software to be used for testing equipment, and the need for training in either Tango & Webjive, or LabView.

      Show
      As we are nearing construction it is paramount not to reinvent the wheel, and use what is available to us. Also, removing layers of complexity would be ideal, considering how connection to testing equipment should work. This Spike aims at understanding the work necessary to control test equipment using Tango, opening the possibilities to create widgets inside Taranta dashboards to control the  testing equipment and monitor SKA devices etc from central dashboards. The benefit would be to make informed decisions on the software to be used for testing equipment, and the need for training in either Tango & Webjive, or LabView.
    • Hide
      • Signal Generator can be controlled (and monitored) over a remote network through python ( or an equivalent functionality if equipment is not available in time)
      • (Spectrum Analyser data can be visualised similarly through the same interface)
      Show
      Signal Generator can be controlled (and monitored) over a remote network through python ( or an equivalent functionality if equipment is not available in time) (Spectrum Analyser data can be visualised similarly through the same interface)
    • 1
    • 1
    • 0
    • Team_ATLAS, Team_VULCAN
    • Sprint 5
    • Hide

      As there was no physical test equipment available for developing this feature, the focus moved to create a simulated SignalGenerator wrapped in a TANGO device server and a BDD test scenario added to the continuous integration. It has abstraction of mid and low equipment in mind, so  that high-level re-use is encouraged, no matter what the TE vendor is.

      This can be adapted to the (new) ITF environment as it becomes available and tested in minikube with connected hardware.

      This sets up the testing toolchain infrastructure for future TE based test runs.

      See https://developer.skatelescope.org/projects/ska-ser-test-equipment/en/latest/api/index.html for the API and
      https://jira.skatelescope.org/browse/XTP-7690 for the BDD test.

      This was done with constant feedback from the ITF teams (mid and low).

      Show
      As there was no physical test equipment available for developing this feature, the focus moved to create a simulated SignalGenerator wrapped in a TANGO device server and a BDD test scenario added to the continuous integration. It has abstraction of mid and low equipment in mind, so  that high-level re-use is encouraged, no matter what the TE vendor is. This can be adapted to the (new) ITF environment as it becomes available and tested in minikube with connected hardware. This sets up the testing toolchain infrastructure for future TE based test runs. See https://developer.skatelescope.org/projects/ska-ser-test-equipment/en/latest/api/index.html for the API and https://jira.skatelescope.org/browse/XTP-7690 for the BDD test. This was done with constant feedback from the ITF teams (mid and low).
    • 19.6
    • Demonstrated, Satisfies Acceptance Criteria

    Description

      As a Test Engineer working in the sITF,

      I want to attempt to control and monitor a 

      • Signal Generator, for instance setting a frequency, wave shape, etc and a
      • Spectrum analyser, to look at the captured data, and a
      • Coax switch (to emulate ON/OFF)

      Using Tango, if possible/simple enough,

      so that I can make an informed decision on whether using just Tango would be sufficient, or if bespoke software such as LabView would be required.

      A necessity will be a device driver for the hardware, such as Python language driver. Useful information: https://pyvisa.readthedocs.io/en/latest/index.html

       

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          is required by

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-2613 Test Equipment can be controlled with a Taranta Dashboard and Jupyter Notebook while SKA Software deployment is monitored in MID sITF

          • Must have - Items labelled as "Must have" are critical to the current delivery timebox in order for it to be a success.
          • Releasing

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-2576 ITF Test Equipment Tango implementation

          • Must have - Items labelled as "Must have" are critical to the current delivery timebox in order for it to be a success.
          • Done
          relates to

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-2575 ITF Test Equipment testing flow integration

          • Must have - Items labelled as "Must have" are critical to the current delivery timebox in order for it to be a success.
          • Done
          links to

          Web Link PyVISA: Control your instruments with Python

          Web Link sITF very Basic TE remote access - Google Doc

          Web Link ska-itf-te

          Web Link ska-ser-test-equipment

          Web Link tektronix - Programmatic-Control-Examples

          mentioned in

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                g.leroux Le Roux, Gerhard [X] (Inactive)
                A.DeBeer De Beer, Adriaan
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 1.0

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                  Total38.0

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