rda_python_icoads

RDA Python package to manage RDA ICOADS datasets.

Prerequisite

To dynamically generate a PDF readme fitting for each data subset, the Linux commandline utility wkhtmltopdf must be installed. See https://wkhtmltopdf.org/index.html for download and install instructions.

Programs

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

  • imma1_subset — generate IMMA1-format ICOADS subset deliveries
  • msg3_subset — generate MSG-format ICOADS R3 subsets
  • msg_download — download MSG ICOADS source files
  • checkicoads — check ICOADS archive integrity
  • cleanicoads — clean up stale ICOADS files
  • counticoads, countattm, countattmvar, countsst — record/attribute counters
  • fillicoads, fillinventory, fillitable, fillmonth — populate ICOADS DB tables
  • fixiidx — fix ICOADS indices
  • maxsst — compute maximum SST values
  • writeicoads — write ICOADS records

Run any program with no arguments to print its 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-icoads

Pick whichever install mode fits your workflow. All variants pull in the transitive dependency (rda_python_common) 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-icoads.git
cd rda-python-icoads
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-icoads.git
cd rda-python-icoads
pip install -e .

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

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

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

pip install rda_python_icoads

Project links

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Credits

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Author: Zaihua Ji

GitHub Statistics

Data verified by PyPI on Sep 4, 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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