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

Project links

Data verified by PyPI on Aug 10, 2026
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Key dates

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  • Released:
Newer release available (3.0.10)

1 maintainer

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Avatar for zaihuaji from gravatar.com zaihuaji

Credits

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Author: Zaihua Ji

GitHub Statistics

Data verified by PyPI on Aug 10, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.7

Classifiers

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