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Introduces or lifts restrictions (authorization) for managing data and metadata on DCOR

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This module introduces/lifts restrictions (authorization) for the management of data and meta data on DCOR. The corresponding UI elements are modified accordingly:

  • Authorization (auth.py)

    • datasets: do not allow deleting datasets unless they are drafts

    • datasets: allow purging of deleted datasets

    • datasets: do not allow switching to a more restrictive license

    • datasets: do not allow changing the name (slug)

    • datasets: do not allow adding resources to non-draft datasets

    • datasets: do not allow to set the visibility of a public dataset to private

    • datasets: do not allow uploading datasets via the web interface

    • organization: do not allow bulk_update_delete (e.g. datasets by organization admins)

    • resources: do not allow deleting resources unless they are drafts

    • resources: only allow changing the “description”

    • resources: do not allow setting a resource id when uploading

    • user: allow all logged-in users to create datasets, circles, and collections

  • Validation (validate.py)

    • datasets: force user to select authors

    • datasets: author list “authors” is CSV

    • datasets: parse DOI field (remove URL part)

    • datasets: force user to select a license

    • datasets: restrict to basic CC licenses

    • datasets: automatically generate dataset name (slug) using random characters if necessary (does not apply to admins)

    • datasets: a dataset without resources is considered to be a draft; it’s state cannot be set to “active”

    • datasets: the state of a dataset that does not contain at least one valid .rtdc resource cannot be set to “active”

    • resources: do not allow uploading resources with the same name for a dataset (important for ckanext-dcor_depot)

    • resources: make sure the resource name matches the file name of the upload; this is actually implemented in plugin.before_create (IResourceController) and not in validate.py

    • resources: custom resource name is overridden during upload

    • resources: do not allow weird characters in resource names

    • resources: restrict upload data extensions to .’.rtdc’, ‘.ini’, ‘.csv’, ‘.tsv’, ‘.pdf’, ‘.txt’, ‘.jpg’, ‘.png’, ‘.tif’, ‘.py’, ‘.ipynb’, ‘.poly’, ‘.sof’, ‘.so2’

    • resources: configuration metadata (using dclab.dfn.config_funcs)

    • resources: ‘s3_available’ and ‘s3_url’ for identifying objects that are available on S3 and for downloading public datasets.

  • IPermissionLabels (plugin.py)

    • Allow a user A to see user B’s private dataset if the private dataset is in a group that user A is a member of.

  • UI Dataset:

    • hide “add new resource” button in templates/package/resources.html

    • add field authors (csv list)

    • add field doi (validator parses URLs)

    • add field references (parses arxiv, bioRxiv, DOI, links)

    • add CC license file licenses.json (only show less restrictive licenses when editing the dataset)

  • UI Organization:

    • remove “Delete” button in bulk view

  • UI Resource:

    • Do not show these variables (because they are redundant): [‘last modified’, ‘revision id’, ‘url type’, ‘state’, ‘on same domain’] (templates/package/resource_read.html)

    • Show DC config data via “toggle-more”

    • Add supplementary resource schema via json files located in dcor_schemas/resource_schema_supplements

  • Background jobs:

    • set the mimetype for each dataset

    • populate “dc:sec:key” metadata for each DC dataset

    • generates sha256 hash upon resource creation

  • Configuration keywords:

    • the ckanext.dcor_schemas.allow_public_datasets boolean parameter can be used to disable the creation of public datasets (e.g. for DCOR-med).

    • the ckanext.dcor_schemas.json_resource_schema_dir parameter can be used to specify a directory containing .json files that define the supplementary resource schema. The default is package which means that the supplementary resource schema of this extension is used.

  • API extensions:

    • resource_schema_supplements returns a dictionary of the current supplementary resource schema

    • supported_resource_suffixes returns a list of supported resource suffixes

  • CLI:

    • add CKAN command list-zombie-users for users with no datasets and no activity for a certain amount of time

    • add CKAN command run-jobs-dcor-schemas that runs all background jobs for all resources (if not already done)

Installation

Simply run

pip install ckanext-dcor_schemas

In the configuration file ckan.ini:

ckan.plugins = [...] dcor_schemas
ckan.extra_resource_fields = sha256

Testing

If CKAN/DCOR is installed and setup for testing, this extension can be tested with pytest:

pytest ckanext

Testing can also be done via vagrant in a virtualmachine using the dcor-test <https://app.vagrantup.com/paulmueller/boxes/dcor-test/> image. Make sure that vagrant and virtualbox are installed and run the following commands in the root of this repository:

# Setup virtual machine using `Vagrantfile`
vagrant up
# Run the tests
vagrant ssh -- sudo bash /testing/vagrant-run-tests.sh

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