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README.md 1.59 KiB

SPARChive Processing at the SSEC

Once data is uploaded to the SSEC server(s) it may have additional processing applied to it. This file describes how to recreate this processing environment from scratch.

Operation Installation

These instructions assume the operation "standard practice" that is current at the time of writing. This practice is to create a conda environment using the "root" user under /opt/metobs/aoss-cameras.

WARNING: These instructions use a generic "/opt/miniconda3/" conda environment to build the operational environment. Double check that a newer "/opt/miniconda3_YYYYMMDD" doesn't exist that is newer. If it does exist then that installation should probably be used instead.

  1. Get and install the conda environment:

    cd /tmp
curl -O "https://gitlab.ssec.wisc.edu/metobs/sparchive/-/raw/master/remote_scripts/environment.yaml"
sudo /opt/miniconda3/condabin/conda env create --file environment.yaml --prefix /opt/metobs/sparchive

  2. Clone the git repository into the environment and other setup:

    cd /opt/metobs/sparchive
sudo mkdir -p repos/git log lock
sudo chown metobs:metobsgrp log lock
sudo git clone "https://gitlab.ssec.wisc.edu/metobs/sparchive.git" repos/git/sparchive
sudo ln -s repos/git/sparchive/remote_scripts ./scripts
sudo git clone "https://gitlab.ssec.wisc.edu/metobs/MetObsCommon.git" repos/git/MetObsCommon

  3. Install the sparchive python package.

    sudo /opt/metobs/sparchive/bin/pip install -e repos/git/MetObsCommon/
sudo /opt/metobs/sparchive/bin/pip install -e repos/git/sparchive/sparchive/