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  1. SAFe Program
  2. SP-2511

Refine the data ingest engine software component

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    • Data Processing
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      Improves the robustness of the PST data ingestion module's (RECV) implementation as well as developing its monitoring & control functionality.

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      Improves the robustness of the PST data ingestion module's (RECV) implementation as well as developing its monitoring & control functionality.
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      RECV TANGO device accepts the commands applicable to Subarray Device. It will control, configure and monitor the C++ implementation of the data receptor as described in the PST Detailed Design.

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      RECV TANGO device accepts the commands applicable to Subarray Device. It will control, configure and monitor the C++ implementation of the data receptor as described in the PST Detailed Design.
    • 4
    • 4
    • 0
    • Team_PST
    • Sprint 5
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      Unit test code coverage increased for the library to over 90%. Investigated logging frameworks for use within kubernetes deployment environments. Developed the interface between RECV.MGMT TANGO device and the RECV.CORE C++ application for configuration, control and monitoring functions. Demo recording (from 00:15:30 mark):   https://skatelescope.zoom.us/rec/share/lub0dKaMTtwjs_EEik6VSdDfPSBBWM19wj_UOPmkYKJuoGarNX-UnSwOje05uaAu.QcZ68pUo3JJlgDe1 Passcode: En$3re^T
    • 16.1
    • Stories Completed, Outcomes Reviewed, Demonstrated, Satisfies Acceptance Criteria, Accepted by FO
    • PI22 - UNCOVERED

    • DRAFT
    • SPO-1763

    Description

      The PST data ingest software component (RECV) requires improvements in test coverage, logging and monitoring and integration with TANGO. These improvements will encompass:

      • Increase the unit test coverage across the classes in ska-pst-recv repository
      • Investigate and demonstrate a solution for acquiring logs, warnings and errors from the built executables
      • Develop the interface between the RECV TANGO device and the RECV.CORE executable, supporting control and monitoring functionality.

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                A.Noutsos Noutsos, Aristeidis
                a.jameson Andrew Jameson
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 4.0

                  IssuesStory Points
                  To Do00.0
                  In Progress   00.0
                  Complete1731.0
                  Total1731.0

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                    Resolved:

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