Skip to main content

CollectiveAccess connector for pyHeimdall

Project description

https://img.shields.io/badge/license-AGPL3.0-informational?logo=gnu&color=success https://www.repostatus.org/badges/latest/suspended.svg PyPI Version https://img.shields.io/badge/documentation-api-green https://gitlab.huma-num.fr/datasphere/heimdall/connectors/collectiveaccess/badges/main/pipeline.svg https://gitlab.huma-num.fr/datasphere/heimdall/connectors/collectiveaccess/badges/main/coverage.svg

What is this?

Heimdall is a tool for converting more easily one or more databases from one format to another. It leverages modules called “connectors”, responsible for conversion of data between specific databases schemas and the HERA format.

This repository containes a connector to CollectiveAccess server sharing their data with the CollectiveAccess Web Service API.

Why should I use it?

You can use this connector, along with the pyheimdall software, to retrieve any data from a CollectiveAccess server. You can then aggregate this data into your research corpus easily, for example using other Heimdall connectors.

Take note, however that some legal restrictions might apply to data retrieved from CollectiveAccess.
Plus, if at the end of your project, you share your data, please cite the original data properly (and reuploading it elsewhere is probably a bad idea, too).

How can I use it?

Setup

This CollectiveAccess pyHeimdall connector is available as a PyPI package named pyheimdall-colectiveaccess. You can install it using the pip package manager:

pip install pyheimdall-collectiveaccess

You can use pip to either upgrade or uninstall this connector, too:

pip install --upgrade pyheimdall-collectiveaccess
pip uninstall pyheimdall-collectiveaccess

Usage

import heimdall

tree = heimdall.getDatabase(format='api:collectiveaccess', url=...)
heimdall.createDatabase(tree, format=..., url=...)

Please note that you don’t need to use pyheimdall-collectiveaccess functions directly. As long as the package is installed on your system, pyHeimdall will automatically discover its features and allow you to use them as long as any other default or external connector.

Is it tested?

Of course! Here’s the coverage report.

How can I contribute?

PyHeimdall welcomes any feedback or proposal. Details can be accessed here

License

GNU Affero General Public License version 3.0 or later

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyheimdall_collectiveaccess-0.7.0.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyheimdall_collectiveaccess-0.7.0-py2.py3-none-any.whl (16.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pyheimdall_collectiveaccess-0.7.0.tar.gz.

File metadata

File hashes

Hashes for pyheimdall_collectiveaccess-0.7.0.tar.gz
Algorithm Hash digest
SHA256 72a0437252ee0e58a8471a4859e2214e26f1ef83f996f508c2d32f1cb0b5456c
MD5 a1a824392142ddbaad83bdc626d4149a
BLAKE2b-256 375e433c53eba74d8b798e3012bd8649c28622e3db3c7344a3a26dda304099cd

See more details on using hashes here.

File details

Details for the file pyheimdall_collectiveaccess-0.7.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyheimdall_collectiveaccess-0.7.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c9d82fc3c8db57dc94ef7476f18e2e9b701f07a7e70271ee26d19e78ac8150a5
MD5 89b88a0c93c036d786ed2201c501dfc9
BLAKE2b-256 7e18336cbbe8cd1835239c1681d21182220257779bd66f7187d4a689d3c0a852

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page