ckanext-csvtocsvw
Extension automatically generating csvw metadata for uploaded textual tabular data. It uploads the data of the first table documented into a datastore for the source csv file. should be used as replacement for datapusher
Requirements
Needs a running instance of the CSVToCSVW Application. Point at it through env variables. Also needed is a Api Token for an account with the right privaledges to make the background job work on private datasets and ressources.
CKANINI__CKANEXT__CSVTOCSVW_URL=http://${CSVTOCSVW_HOST}:${CSVTOCSVW_APP_PORT}
CKANINI__CKANEXT__CSVTOCSVW__CKAN_TOKEN=${CKAN_API_TOKEN}
You can set the default formats to annotate by setting the env variable CSVTOCSVW_FORMATS for example
CKANINI__CKANEXT__CSVTOCSVW__FORMATS="csv txt asc"
else it will react to the following formats: "csv", "txt", "asc", "tsv"
If you need to process files that are not hosted through https (CKAN is not ssl configured), you can disable ssl verification
CKANINI__CKANEXT__CSVTOCSVW__SSL_VERIFY=False
Purpose
Reacts to CSV files uploaded. DEFAULT_FORMATS are "csv; txt" It creates two to sites for each resource.
- /annotate creates CSVW annotation file for a CSV in json-ld format named <csv_filename>-metadata.json, uploades table-1 to ckan datastore o u can explorer it with recline views
- /transform utilizes CSVW metadata to transform the whole content of the csv file to rdf, output is <csv_filename>.ttl The plugins default behavior includes a trigger to csv file uploads, so it runs annotation automatically on upload. The transformation is a bonus feature and outputs standard tabular data as mentioned in the CSVW documentation of the W3C. It must be triggered manually.
Compatibility with core CKAN versions:
| CKAN version | Compatible? |
|---|---|
| 2.9 and earlier | not tested |
| 2.10 | ✓ CI tested |
| 2.11 | ✓ CI tested |
Installation
To install the extension:
- Activate your CKAN virtual environment, for example:
. /usr/lib/ckan/default/bin/activate
- Use pip to install package
pip install ckanext-csvtocsvw
-
Add
csvtocsvwto theckan.pluginssetting in your CKAN config file (by default the config file is located at/etc/ckan/default/ckan.ini). -
Restart CKAN. For example, if you've deployed CKAN with Apache on Ubuntu:
sudo service apache2 reload
Developer installation
To install ckanext-csvtocsvw for development, activate your CKAN virtualenv and do:
git clone https://github.com/Mat-O-Lab/ckanext-csvtocsvw.git
cd ckanext-csvtocsvw
pip install -e ".[dev]"
Tests
To run the tests, do:
pytest --ckan-ini=test.ini
Citation
If you use this software, please cite it. GitHub shows a "Cite this repository" button (top right of the repo page) that exports the CITATION.cff in APA or BibTeX format.
After the first Zenodo release, a DOI-specific BibTeX entry will be available on the Zenodo record. Until then:
@software{hanke_ckanext_csvtocsvw,
author = {Hanke, Thomas},
title = {ckanext-csvtocsvw},
url = {https://github.com/Mat-O-Lab/ckanext-csvtocsvw},
license = {AGPL-3.0-or-later},
}
License
Acknowledgments
The authors would like to thank the Federal Government and the Heads of Government of the Länder for their funding and support within the framework of the Platform Material Digital consortium. Funded by the German Federal Ministry of Education and Research (BMBF) through the MaterialDigital Call in Project KupferDigital - project id 13XP5119.
Metadata
Release files for ckanext-csvtocsvw 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ckanext_csvtocsvw-1.0.4.tar.gz | 41.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ckanext_csvtocsvw-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.5 kB
Release files / ckanext_csvtocsvw-1.0.4.tar.gz
| Download URL | ckanext_csvtocsvw-1.0.4.tar.gz |
|---|---|
| Size | 41.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7a9ba7657db98e4f7e3fffc7a3d86e8e307675b2f08deeb1d251fb0fce19765e
|
|
BLAKE2b-256 checksum How to use checksums |
6e46a82d68b49526d0d2f459d6f45747a4285b113d04dec77b22e6ad318233b1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 19, 2026.
Transparency logRelease files / ckanext_csvtocsvw-1.0.4-py3-none-any.whl
| Download URL | ckanext_csvtocsvw-1.0.4-py3-none-any.whl |
|---|---|
| Size | 42.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c4ba21dcb02db99d40b362fa197708f98a440eaf66deabecfc079e83939279fc
|
|
BLAKE2b-256 checksum How to use checksums |
ab0bd3b00a10f37655bde9caf44fe601c49143ceb1df9e39fb49589e5f2b3406
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 19, 2026.
Transparency log