def after_update(self, context, pkg_dict):
"""
Dataset has been created / updated
Check status of the dataset to determine if we should publish DOI to datacite network
@param pkg_dict:
@return: pkg_dict
"""
# Is this active and public? If so we need to make sure we have an active DOI
if pkg_dict.get('state', 'active') == 'active' and not pkg_dict.get('private', False):
package_id = pkg_dict['id']
# Load the original package, so we can determine if user has changed any fields
orig_pkg_dict = get_action('package_show')(context, {'id': package_id})
# Metadata created isn't populated in pkg_dict - so copy from the original
pkg_dict['metadata_created'] = orig_pkg_dict['metadata_created']
# Load the local DOI
doi = get_doi(package_id)
# If we don't have a DOI, create one
# This could happen if the DOI module is enabled after a dataset has been creates
if not doi:
doi = create_unique_identifier(package_id)
# Build the metadata dict to pass to DataCite service
metadata_dict = build_metadata(pkg_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
validate_metadata(metadata_dict)
# Is this an existing DOI? Update it
if doi.published:
# Before updating, check if any of the metadata has been changed - otherwise
# We end up sending loads of revisions to DataCite for minor edits
# Load the current version
orig_metadata_dict = build_metadata(orig_pkg_dict, doi)
# Check if the two dictionaries are the same
if cmp(orig_metadata_dict, metadata_dict) != 0:
# Not the same, so we want to update the metadata
update_doi(package_id, **metadata_dict)
h.flash_success('DataCite DOI metadata updated')
# TODO: If editing a dataset older than 5 days, create DOI revision
# New DOI - publish to datacite
else:
h.flash_success('DataCite DOI created')
publish_doi(package_id, **metadata_dict)
return pkg_dict
def test_create_metadata(self):
doi = doi_lib.get_or_create_doi(self.package_dict[u'id'])
# Build the metadata dict to pass to DataCite service
metadata_dict = doi_lib.build_metadata(self.package_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
doi_lib.validate_metadata(metadata_dict)
def test_doi_metadata(self):
'''
Test the creation and validation of metadata
'''
pkg = factories.Dataset(author='Ben', auto_doi_identifier=True,
doi_identifier=None, doi_prefix='10.5072/FK2')
doi = doi_lib.get_doi(pkg['id'])
# Build the metadata dict to pass to DataCite service
metadata_dict = doi_lib.build_metadata(pkg, doi)
# Perform some basic checks against the data - we require at the very
# least title and author fields - they're mandatory in the DataCite
# Schema. This will only be an issue if another plugin has removed a
# mandatory field
doi_lib.validate_metadata(metadata_dict)
def test_doi_publish_datacite(self):
import ckanext.doi.lib as doi_lib
doi = doi_lib.get_doi(self.package_dict['id'])
if not doi:
doi = doi_lib.create_unique_identifier(self.package_dict['id'])
# Build the metadata dict to pass to DataCite service
metadata_dict = doi_lib.build_metadata(self.package_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
doi_lib.validate_metadata(metadata_dict)
doi_lib.publish_doi(self.package_dict['id'], **metadata_dict)
def test_doi_publish_datacite(self):
import ckanext.doi.lib as doi_lib
doi = doi_lib.get_doi(self.package_dict['id'])
if not doi:
doi = doi_lib.create_unique_identifier(self.package_dict['id'])
# Build the metadata dict to pass to DataCite service
metadata_dict = doi_lib.build_metadata(self.package_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
doi_lib.validate_metadata(metadata_dict)
doi_lib.publish_doi(self.package_dict['id'], **metadata_dict)
def after_update(self, context, pkg_dict):
'''Dataset has been created / updated
Check status of the dataset to determine if we should publish DOI to datacite
network
:param pkg_dict: return: pkg_dict
:param context:
:returns: pkg_dict
'''
# Is this active and public? If so we need to make sure we have an active DOI
if pkg_dict.get(u'state', u'active') == u'active' and not pkg_dict.get(
u'private', False):
package_id = pkg_dict[u'id']
# remove user-defined update schemas first (if needed)
context.pop(u'schema', None)
# Load the original package, so we can determine if user has changed any fields
orig_pkg_dict = toolkit.get_action(u'package_show')(
context, {
u'id': package_id
})
# If metadata_created isn't populated in pkg_dict, copy from the original
if u'metadata_created' not in pkg_dict:
pkg_dict[u'metadata_created'] = orig_pkg_dict.get(
u'metadata_created', u'')
# Load the local DOI
doi = get_doi(package_id)
# If we don't have a DOI, create one
# This could happen if the DOI module is enabled after a dataset has been
# created
if not doi:
doi = get_or_create_doi(package_id)
# Build the metadata dict to pass to DataCite service
metadata_dict = build_metadata(pkg_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
validate_metadata(metadata_dict)
# Is this an existing DOI? Update it
if doi.published:
# Before updating, check if any of the metadata has been changed -
# otherwise
# We end up sending loads of revisions to DataCite for minor edits
# Load the current version
orig_metadata_dict = build_metadata(orig_pkg_dict, doi)
# Check if the two dictionaries are the same
if cmp(orig_metadata_dict, metadata_dict) != 0:
# Not the same, so we want to update the metadata
update_doi(package_id, **metadata_dict)
toolkit.h.flash_success(u'DataCite DOI metadata updated')
# TODO: If editing a dataset older than 5 days, create DOI revision
# New DOI - publish to datacite
else:
toolkit.h.flash_success(u'DataCite DOI created')
publish_doi(package_id, **metadata_dict)
return pkg_dict
def after_update(self, context, pkg_dict):
"""
Dataset has been created / updated
Check status of the dataset to determine if we should publish DOI to datacite network
@param pkg_dict:
@return: pkg_dict
"""
package_id = pkg_dict['id']
# Load the original package, so we can determine if user has changed any fields
orig_pkg_dict = get_action('package_show')(context, {'id': package_id})
# Metadata created isn't populated in pkg_dict - so copy from the original
pkg_dict['metadata_created'] = orig_pkg_dict['metadata_created']
# Load the local DOI
doi = get_doi(package_id)
# Auto create overwrites anything in identifier
# a DOI or identifier might already exist and in this case that DOI will be used
if not doi:
if 'doi_auto_create' in pkg_dict:
# Overwrite any existing identifier with a newly minted DOI
create_unique_identifier(package_id)
# Remove the auto create field from the dataset pkg
pkg_dict.pop('doi_auto_create')
else:
return pkg_dict
# TODO: Handle manual input again
# Is this active and public? If so we need to make sure we have an active DOI
if pkg_dict.get('state', 'active') == 'active' and not pkg_dict.get(
'private', False):
# Build the metadata dict to pass to DataCite service
metadata_dict = build_metadata(pkg_dict, doi)
# Perform some basic checks against the data - we require at the very least
# title and author fields - they're mandatory in the DataCite Schema
# This will only be an issue if another plugin has removed a mandatory field
validate_metadata(metadata_dict)
# Is this an existing DOI? Update it
if doi.published:
# Before updating, check if any of the metadata has been changed - otherwise
# We end up sending loads of revisions to DataCite for minor edits
# Load the current version
orig_metadata_dict = build_metadata(orig_pkg_dict, doi)
# Check if the two dictionaries are the same
if cmp(orig_metadata_dict, metadata_dict) != 0:
# Not the same, so we want to update the metadata
update_doi(package_id, **metadata_dict)
h.flash_success('DataCite DOI metadata updated')
# TODO: If editing a dataset older than 5 days, create DOI revision
# New DOI - publish to datacite
else:
h.flash_success('DataCite DOI created')
publish_doi(package_id, **metadata_dict)
return pkg_dict
def test_publish_to_datacite(self, mock_request):
doi = doi_lib.get_or_create_doi(self.package_dict[u'id'])
metadata_dict = doi_lib.build_metadata(self.package_dict, doi)
doi_lib.validate_metadata(metadata_dict)
doi_lib.publish_doi(self.package_dict[u'id'], **metadata_dict)
def after_update(self, context, pkg_dict):
'''
Dataset has been created / updated. Check status of the dataset to
determine if we should publish DOI.
@param pkg_dict:
@return: pkg_dict
'''
package_id = pkg_dict['id']
# Load the local DOI
doi = get_doi(package_id)
# If we're not auto managing the doi, but there is a DOI object
# associated with the package, delete it.
if not pkg_dict.get('auto_doi_identifier') and doi:
delete_doi(package_id)
doi = None
# We might be short circuiting the after_update
if context.get('no_after_update') \
or not pkg_dict.get('auto_doi_identifier'):
return pkg_dict
# If we don't have a DOI, create one.
# This could happen if the DOI module is enabled after a dataset
# has been created, or if a user has added their own on dataset
# creation, but subsequently deleted it.
if not doi:
prefix = pkg_dict.get('doi_prefix')
doi = create_unique_identifier(package_id, prefix)
# ensure doi.identifier and pkg['doi_identifier'] are the same
if doi.identifier != pkg_dict['doi_identifier']:
self._update_pkg_doi(context, package_id, doi.identifier)
# Is this active and public? If so we need to make sure we have an
# active DOI
if pkg_dict.get('state', 'active') == 'active' \
and not pkg_dict.get('private', False):
# Load the original package, so we can determine if user has
# changed any fields
orig_pkg_dict = get_action('package_show')(context,
{'id': package_id})
# Metadata created isn't populated in pkg_dict - so copy from the
# original
pkg_dict['metadata_created'] = orig_pkg_dict['metadata_created']
# Build the metadata dict to pass to DataCite service
metadata_dict = build_metadata(pkg_dict, doi)
# Perform some basic checks against the data - we require at the
# very least title and author fields - they're mandatory in the
# DataCite Schema This will only be an issue if another plugin has
# removed a mandatory field
validate_metadata(metadata_dict)
# Is this an existing DOI? Update it
if doi.published:
# Before updating, check if any of the metadata has been
# changed - otherwise we end up sending loads of revisions to
# DataCite for minor edits Load the current version
orig_metadata_dict = build_metadata(orig_pkg_dict, doi)
# Check if the two dictionaries are the same
if cmp(orig_metadata_dict, metadata_dict) != 0:
# Not the same, so we want to update the metadata
update_doi(package_id, **metadata_dict)
# TODO: If editing a dataset older than 5 days, create DOI
# revision
# New DOI - publish to datacite
else:
publish_doi(package_id, **metadata_dict)
return pkg_dict
