def package_show(context, data_dict):
'''
Return the metadata of a dataset (package) and its resources.
Called before showing the dataset in some interface (browser, API),
or when adding package to Solr index (no validation / conversions then).
:param id: the id or name of the dataset
:type id: string
:rtype: dictionary
'''
if data_dict.get('type') == 'harvest':
context['schema'] = Schemas.harvest_source_show_package_schema()
if not data_dict.get('id') and not data_dict.get('name'):
# Get package by data PIDs
data_dict['id'] = utils.get_package_id_by_data_pids(data_dict)
pkg_dict1 = ckan.logic.action.get.package_show(context, data_dict)
pkg_dict1 = utils.resource_to_dataset(pkg_dict1)
# Remove empty agents that come from padding the agent list in converters
if 'agent' in pkg_dict1:
agents = filter(None, pkg_dict1.get('agent', []))
pkg_dict1['agent'] = agents or []
# Normally logic function should not catch the raised errors
# but here it is needed so action package_show won't catch it instead
# Hiding information from API calls
try:
check_access('package_update', context)
except NotAuthorized:
pkg_dict1 = utils.hide_sensitive_fields(pkg_dict1)
pkg = Package.get(pkg_dict1['id'])
if 'erelated' in pkg.extras:
erelated = pkg.extras['erelated']
if len(erelated):
for value in erelated.split(';'):
if len(Session.query(Related).filter(Related.title == value).all()) == 0:
data_dict = {'title': value,
'type': _("Paper"),
'dataset_id': pkg.id}
related_create(context, data_dict)
# Update package.title to match package.extras.title_0
extras_title = pkg.extras.get(u'title_0')
if extras_title and extras_title != pkg.title:
repo.new_revision()
pkg.title = pkg.extras[u'title_0']
pkg.save()
rebuild(pkg.id) # Rebuild solr-index for this dataset
return pkg_dict1
def package_show(context, data_dict):
'''
Return the metadata of a dataset (package) and its resources.
Called before showing the dataset in some interface (browser, API),
or when adding package to Solr index (no validation / conversions then).
:param id: the id or name of the dataset
:type id: string
:rtype: dictionary
'''
if data_dict.get('type') == 'harvest':
context['schema'] = Schemas.harvest_source_show_package_schema()
context['use_cache'] = False # Disable package retrieval directly from Solr as contact.email is not there.
if not data_dict.get('id') and not data_dict.get('name'):
# Get package by data PIDs
data_dict['id'] = utils.get_package_id_by_primary_pid(data_dict)
pkg_dict1 = ckan.logic.action.get.package_show(context, data_dict)
pkg_dict1 = utils.resource_to_dataset(pkg_dict1)
# Remove empty agents that come from padding the agent list in converters
if 'agent' in pkg_dict1:
agents = filter(None, pkg_dict1.get('agent', []))
pkg_dict1['agent'] = agents or []
# Normally logic function should not catch the raised errors
# but here it is needed so action package_show won't catch it instead
# Hiding information from API calls
try:
check_access('package_update', context)
except NotAuthorized:
pkg_dict1 = utils.hide_sensitive_fields(pkg_dict1)
pkg = Package.get(pkg_dict1['id'])
if 'erelated' in pkg.extras:
erelated = pkg.extras['erelated']
if len(erelated):
for value in erelated.split(';'):
if len(Session.query(Related).filter(Related.title == value).all()) == 0:
data_dict = {'title': value,
'type': _("Paper"),
'dataset_id': pkg.id}
related_create(context, data_dict)
return pkg_dict1
def test_create_and_read_dataset_2(self):
'''
Create and read a dataset through API and check that values are correct.
Read as a different user than dataset creator.
'''
output = call_action_api(self.app, 'package_create', apikey=self.user_sysadmin.apikey,
status=200, **self.public_dataset)
if '__type' in output:
assert output['__type'] != 'Validation Error'
assert 'id' in output
output = call_action_api(self.app, 'package_show', apikey=self.user_anna.apikey,
status=200, id=output['id'])
# Use hide_sensitive_fields() because user is not the creator of the dataset
original = copy.deepcopy(self.public_dataset)
assert self._compare_datadicts(utils.hide_sensitive_fields(original), output)
def test_create_and_read_dataset_2(self):
'''
Create and read a dataset through API and check that values are correct.
Read as a different user than dataset creator.
'''
data = copy.deepcopy(self.public_dataset)
data = self.get_unique_pids(data)
output = self.api_user_normal.action.package_create(**data)
if '__type' in output:
assert output['__type'] != 'Validation Error'
assert 'id' in output
output = self.api_user_anna.action.package_show(id=output['id'])
# Use hide_sensitive_fields() because user is not the creator of the dataset
original = copy.deepcopy(data)
assert self._compare_datadicts(utils.hide_sensitive_fields(original), output)
def test_create_and_read_dataset_2(self):
'''
Create and read a dataset through API and check that values are correct.
Read as a different user than dataset creator.
'''
data = copy.deepcopy(self.public_dataset)
data = self.get_unique_pids(data)
output = self.api_user_normal.action.package_create(**data)
if '__type' in output:
assert output['__type'] != 'Validation Error'
assert 'id' in output
output = self.api_user_anna.action.package_show(id=output['id'])
# Use hide_sensitive_fields() because user is not the creator of the dataset
original = copy.deepcopy(data)
assert self._compare_datadicts(utils.hide_sensitive_fields(original),
output)
