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DEPLOYMENT FOR PRODUCTION USE
------------------------------------------------------------------------------------------------------------------------

In script/create_html.py:       TESTLINE = ""               must be active
In script/launch-msplots.sh:    TESTLINE = ""               must be active
                                PYAUTOPLOT_TAG=latest       must be active


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DEPLOYMENT FOR TESTING ON THE PRODUCTION SYSTEM
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In order to test the script on the production system in parallel to the stable script, please ensure that the TESTLINE
parameter is set to some text in both shell- and python-script, e.g:

TESTLINE = "-test"

Additionally, set the PYAUTOPILOT_TAG to a text different from latest, in order to distinguish it from the stable
pyautoplot:latest on the production system, e.g:

PYAUTOPLOT_TAG=my_test

Additionally, make sure to run in the docker-launch-msplots.sh script with environment variable TAG set to my_test (or
whatever you defined for PYAUTOPLOT_TAG). Therefore copy the default inspection-plots-observations.sh script and modify
the --export=TAG=latest line, e.g:

----------------------------------------------------

#!/bin/bash
OBSID=$1

exec sbatch \
    --partition=cobalt \
    --nice=1000 \
    --mem=4000 \
    --nodes=20-50 --cpus-per-task=2 \
    --job-name="inspection-$OBSID" \
    --output=/data/log/inspection-plots-$OBSID.log \
    --export=TAG=my_test \                              <-- instead of --export=TAG=latest
    docker-launch-msplots.sh "$@"

----------------------------------------------------

Now you can manually run the inspection-plots script with some SAS ID, completely separate from the one used in the
production flow.

NOTE: DON'T FORGET TO REVERT TO AN EMPTY 'TESTLINE' AND 'PYAUTOPLOT_TAG=latest' ONCE YOU'RE DONE TESTING AND WANT TO USE
THE SCRIPT IN THE PRODUCTION FLOW!