Times Square: Prototype nightly report notebooks

Description

In preparation for JTM 2024, we'd like to provide some examples of how automatically-computed Jupyter notebooks could be a useful platform for nightly reporting. Times Square and Noteburst are ideal tools for this.

In this initial set of demos, we should explore:

  • Computing and reporting a basic almanac like sunrise/set times, moon rise/set and illumination.

  • Gathering meteorological data from the EFD via Sasquatch

  • Gathering observing log notes from the narrativelog (whether this can be done in this ticket depends on whether the narrativelog data is available from the usdf)

  • Gathering Jira fault report tickets (depends on the availability of an RSP service to proxy the Jira API)

A template for the data is in the existing Auxtel night reports, e.g.: https://rubinobs.atlassian.net/wiki/display/LSSTCOM/2023-12-11+AuxTel+Night+Log

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Jonathan Sick January 29, 2024 at 10:57 PM

We produced three night report feature demos:

  • Weather demo showing how to get data from the EFD and plot a summary for the night

  • Almanac demo showing how to use Astroplan to calculate sun and moon almanac data (rise/set/phase)

  • OBS issues demo that shows how to get data from the Jira API — through the Jira data proxy (https://sqr-083.lsst.io) — and create a summary table with Pandas

These demos are summarized in the SQR-084 technote: https://sqr-084.lsst.io

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Created January 9, 2024 at 5:25 PM
Updated January 29, 2024 at 10:57 PM
Resolved January 29, 2024 at 10:57 PM