Skip to main content

A CKAN extension that allows organisation members to create datasets, and edit or delete the datasets they have created.

Project description

ckanext-userdatasets

Tests Coveralls CKAN Python Docs

A CKAN extension that allows organisation members to create datasets, and edit or delete the datasets they have created.

Overview

This extension changes the permissions of users with the 'Member' role in an organisation, allowing them to create datasets, and to edit or delete the datasets they have created. Unlike users with the 'Editor' role, they cannot edit or delete datasets created by other users.

Notes:

  • This applies to the existing 'Member' role rather than creating a new one as it is currently not possible to add new roles from an extension;
  • The plugin works with custom dataset types, however it will not work with other plugins which override package/resource update/create/delete authorization functions, and package_create/update actions.

Warning: This plugin modifies CKAN's permission system. The current implementation cannot be considered fully safe and should only be used AT YOUR OWN RISK in a trusted environment. Ensure you run the tests with your plugins enabled.

Installation

Path variables used below:

  • $INSTALL_FOLDER (i.e. where CKAN is installed), e.g. /usr/lib/ckan/default
  • $CONFIG_FILE, e.g. /etc/ckan/default/development.ini

Installing from PyPI

pip install ckanext-userdatasets

Installing from source

  1. Clone the repository into the src folder:

    cd $INSTALL_FOLDER/src
    git clone https://github.com/NaturalHistoryMuseum/ckanext-userdatasets.git
    
  2. Activate the virtual env:

    . $INSTALL_FOLDER/bin/activate
    
  3. Install via pip:

    pip install $INSTALL_FOLDER/src/ckanext-userdatasets
    

Installing in editable mode

Installing from a pyproject.toml in editable mode (i.e. pip install -e) requires setuptools>=64; however, CKAN 2.9 requires setuptools==44.1.0. See our CKAN fork for a version of v2.9 that uses an updated setuptools if this functionality is something you need.

Post-install setup

  1. Add 'userdatasets' to the list of plugins in your $CONFIG_FILE:
    ckan.plugins = ... userdatasets
    

Configuration

There are no configuration options for this extension.

Usage

Actions

No new actions are defined in this extension; three are overridden to modify validators and permissions.

package_create

package_update

organization_list_for_user

Testing

There is a Docker compose configuration available in this repository to make it easier to run tests. The ckan image uses the Dockerfile in the docker/ folder.

To run the tests against ckan 2.9.x on Python3:

  1. Build the required images:

    docker-compose build
    
  2. Then run the tests. The root of the repository is mounted into the ckan container as a volume by the Docker compose configuration, so you should only need to rebuild the ckan image if you change the extension's dependencies.

    docker-compose run ckan
    

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

ckanext-userdatasets-2.1.8.tar.gz (24.0 kB view details)

Uploaded Source

Built Distribution

ckanext_userdatasets-2.1.8-py3-none-any.whl (24.6 kB view details)

Uploaded Python 3

File details

Details for the file ckanext-userdatasets-2.1.8.tar.gz.

File metadata

  • Download URL: ckanext-userdatasets-2.1.8.tar.gz
  • Upload date:
  • Size: 24.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for ckanext-userdatasets-2.1.8.tar.gz
Algorithm Hash digest
SHA256 4a8eda4b6462eb0564bbf2f627b5b8045710f168586e1aa9c10d2f0f3fd62cfa
MD5 ec66da9e9d975e2f3eada8cf001e94c1
BLAKE2b-256 7da94215d50d40d0b99f6286415674480b156b24db9ab66113126c108a2a99b0

See more details on using hashes here.

File details

Details for the file ckanext_userdatasets-2.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for ckanext_userdatasets-2.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 3db9d1520f668600a0f287933384df4b7ea2cb62a73c452a87376a0a9a83f799
MD5 c69220e12232845500a9e05a697022f6
BLAKE2b-256 a9b17f85abe831970523eedd6af74e75bed4ba307023de9b6ef3469019d03001

See more details on using hashes here.

Supported by

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