Universal Data is an open source initiative to build a decentralized, cryptographically-secure ecosystem containerizing both structured and unstructured data.
UDC is the initial (alpha) client for that system. It currently supports both Quilt and Benchling URIs. For example:
udc list "quilt+s3://quilt-example#package=examples/wellplates"
udc patch "benchling+https://dtt.benchling.com?name=Update#type=Entry&id=etr_123"
NOTE: UDC requires Python 3.10 or higher.
You can check your version with python3 --version
.
If you have an older version, you will need to update your environment to a
newer version of Python.
From PyPi:
python3 -m pip install udc # OR
python3 -m pip install --upgrade udc
which udc
python3 -m pip install git+https://github.com/data-yaml/udc.git@main
When cloned from GitHub:
poetry install
<--
alias udc="poetry run udc"
-->
udc # prints help
udc list "quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2"
e.g.,
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=README.md"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=autoplate_H1N1.csv"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=data_products.ipynb"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=neutralisation-altair.json"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=neutralisation.json"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=quilt_summarize.json"
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2&path=render.html"
udc list "quilt+s3://quilt-example#package=examples/wellplates" | head -n 1
e.g.,
"quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2c600f4c519efd5de868d5ef1e05ac92fcb0fa56044bb8c925c5f02"
udc list quilt+s3://quilt-example | head -n 1
e.g.,
"quilt+s3://quilt-example#package=akarve/amazon-reviews:latest"
You can also use put
(replace) and patch
(merge) if you have write access.
udc get "quilt+s3://quilt-example#package=examples/wellplates@6782cf98a2" --dir /tmp/wellplates
Checking the download directory:
ls /tmp/wellplates
Should reveal the following output:
README.md
autoplate_H1N1.csv
data_products.ipynb
neutralisation-altair.json
neutralisation.json
quilt_summarize.json
render.html
make test
make watch
WARNING: Do this only if you are the maintainer of the package.
Be sure you to first set your ~/.pypirc using poetry config pypi-token.pypi <pypi-api-token>
# merge PR
make tag
make pypi
poetry publish