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
  • populate etag resource property from S3 storage 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_upload_s3_urls returns a dictionary containing the upload URLs (single file or multipart) required for uploading a new resource directly to S3
  • resource_schema_supplements returns a dictionary of the current supplementary resource schema
  • supported_resource_suffixes returns a list of supported resource suffixes
• CLI:
  • CKAN command list-circles returns the list of DCOR circles
  • CKAN command list-collections returns the list of DCOR collections
  • CKAN command list-group-resources <NAME> returns the list of resources in a DCOR circle or collection
  • CKAN command list-zombie-users for users with no datasets and no activity for a certain amount of time
  • CKAN command run-jobs-dcor-schemas that runs all background jobs for all resources (if not already done)

Simply run

pip install ckanext-dcor_schemas

In the configuration file ckan.ini:

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

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