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cedarkit-test-data

Maturity-Archived

[!IMPORTANT] This project has been archived and is no longer maintained. It is kept available for historical reference.

Its functionality has been merged into cemc-oper/reki (the built-in test source in reki/sources/test.py and the reki-test-data command). Please use reki instead — see "Migrating to reki" below.

If this package remains installed alongside a newer reki, its reki.sources entry point shadows reki's built-in test source; uninstall it with pip uninstall cedarkit-test-data.

Migrating to reki

The test source is built into reki; no plugin installation is needed.

Python API — unchanged call, works out of the box:

import reki

# fetch (or reuse) the GFS test file and open it as a GRIB reader
data = reki.from_source("test", "gfs", output_dir="./data")
field = data.to_xarray(parameter="t", level_type="pl", level=850)

Command line — cedarkit-test-data becomes reki-test-data:

# before
cedarkit-test-data download gfs --source wis --output ./data

# after
reki-test-data download gfs --source wis --output ./data

The downloader API moved from cedarkit_test_data to reki.sources.test:

# before
from cedarkit_test_data import download_gfs_data

# after
from reki.sources.test import download_gfs_data

The sections below are kept for historical reference.

GitHub Release PyPI - Version GitHub License GitHub Action Workflow Status

A test data downloader that prepares test datasets for the cedarkit toolkits.

Installation

pip install -e .

Usage

Command line

Download GFS data from WIS:

cedarkit-test-data download gfs --source wis --output ./data

Copy data from a locally mounted directory:

cedarkit-test-data download gfs --source music-dir --storage-base M: --output ./data

Python API

from cedarkit_test_data import download_gfs_data
from pathlib import Path

# Download to a target directory
download_gfs_data(
    output_dir=Path("./data"),
    source="wis",
)

reki test source

Once cedarkit-test-data is installed, it registers a test source in the reki.sources entry point group, so test datasets can be loaded through reki's unified entry point:

import reki

# fetch (or reuse) the GFS test file and open it as a GRIB reader
data = reki.from_source("test", "gfs", output_dir="./data")
field = data.to_xarray(parameter="t", level_type="pl", level=850)

Downloads are idempotent: an existing file in output_dir is reused and no network access happens.

Supported data sources

  • wis: download from the CMA WIS data service
  • music-dir: copy from a locally mounted music-dir directory

Supported data types

  • gfs: CMA GRAPES-GFS global model data

License

Licensed under the Apache License, Version 2.0.

Metadata

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