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Pipeline to Aggregate Data for Optimised Cloud Capabilities

Project description

PADOCC Package

PyPI version

Padocc (Pipeline to Aggregate Data for Optimal Cloud Capabilities) is a Data Aggregation pipeline for creating Kerchunk (or alternative) files to represent various datasets in different original formats. Currently the Pipeline supports writing JSON/Parquet Kerchunk files for input NetCDF/HDF files. Further developments will allow GeoTiff, GRIB and possibly MetOffice (.pp) files to be represented, as well as using the Pangeo Rechunker tool to create Zarr stores for Kerchunk-incompatible datasets.

Example Notebooks at this link

Documentation hosted at this link

Kerchunk Pipeline

Pre-release b

Release date: 20th January 2025

This pre-release contains updated source code and source code documentation, but some of the main descriptors that are hand-written (not source) may be out of date. Please refer to the release notes for details on what has changed.

This package acknowledges contributions by Matt Brown as a pre-release tester.

Installation

To install this package, clone the repository using git clone (and switch to the MigrationOO branch - git checkout MigrationOO if release v1.3 has not been released.)

Then follow the steps below to install the package with the necessary dependencies.

python -m venv .venv
source .venv/bin/activate
pip install poetry
poetry install

Usage

Please refer to the tests/ scripts for how to use the GroupOperation and ProjectOperation classes.

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