rda_python_dsquasar

RDA Python package to back up and recover RDA data archives to and from the GLOBUS Quasar backup server.

Programs

The package installs the following command-line utilities, all running as the current user:

• dsquasar — back up and restore RDA dataset archives via Quasar
• tacctar — create tar bundles for Quasar archival
• taccrec — recover content from Quasar tar bundles

Run any program with --help (or -h) for full usage details.

Environment setup

Create a Python environment first; package installs in the next section run inside whichever environment you activate here.

Option A — Python venv (DECS machines)

python3 -m venv $ENVHOME          # e.g. /glade/u/home/gdexdata/gdexmsenv
source $ENVHOME/bin/activate

Option B — Conda (DAV/Casper)

conda create --prefix $ENVHOME python=3.12   # e.g. /glade/work/gdexdata/conda-envs/pg-gdex
conda activate $ENVHOME

Installing rda-python-dsquasar

Pick whichever install mode fits your workflow. All variants pull in the transitive dependencies (rda_python_common, rda_python_dsarch) automatically.

For local development, clone this repo alongside your project and install it in editable mode so that changes are picked up without re-installing:

git clone https://github.com/NCAR/rda-python-dsquasar.git
cd rda-python-dsquasar
pip install -e .

To test a specific branch (e.g. an in-progress feature or fix branch), pass -b/--branch to git clone:

git clone -b <branch-name> https://github.com/NCAR/rda-python-dsquasar.git
cd rda-python-dsquasar
pip install -e .

For a regular (non-editable) install from a checkout:

pip install /path/to/rda-python-dsquasar

For a production install on a system that uses the published distribution:

pip install rda_python_dsquasar