106 lines
5.0 KiB
Python
106 lines
5.0 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2014 CoNWeT Lab., Universidad Politécnica de Madrid
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# This file is part of CKAN Private Dataset Extension.
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# CKAN Private Dataset Extension is free software: you can redistribute it and/or
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# modify it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# CKAN Private Dataset Extension is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with CKAN Private Dataset Extension. If not, see <http://www.gnu.org/licenses/>.
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import ckan.plugins as plugins
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import ckanext.privatedatasets.constants as constants
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import importlib
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import logging
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import pylons.config as config
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log = logging.getLogger(__name__)
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PARSER_CONFIG_PROP = 'ckan.privatedatasets.parser'
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def package_acquired(context, request_data):
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log.info('Notification Request received')
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# Check access
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plugins.toolkit.check_access(constants.PACKAGE_ACQUIRED, context, request_data)
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# Get the parser from the configuration
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class_path = config.get(PARSER_CONFIG_PROP, '')
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if class_path != '':
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try:
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cls = class_path.split(':')
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class_package = cls[0]
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class_name = cls[1]
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parser_cls = getattr(importlib.import_module(class_package), class_name)
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parser = parser_cls()
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except Exception as e:
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raise plugins.toolkit.ValidationError({'message': '%s: %s' % (type(e).__name__, str(e))})
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else:
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raise plugins.toolkit.ValidationError({'message': '%s not configured' % PARSER_CONFIG_PROP})
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# Parse the result using the parser set in the configuration
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# Expected result: {'errors': ["...", "...", ...]
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# 'users_datasets': [{'user': 'user_name', 'datasets': ['ds1', 'ds2', ...]}, ...]}
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result = parser.parse_notification(request_data)
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warns = []
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# Introduce the users into the datasets
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for user_info in result['users_datasets']:
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for dataset_id in user_info['datasets']:
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try:
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context_pkg_show = context.copy()
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context_pkg_show['ignore_auth'] = True
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context_pkg_show[constants.CONTEXT_CALLBACK] = True
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dataset = plugins.toolkit.get_action('package_show')(context_pkg_show, {'id': dataset_id})
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# This operation can only be performed with private datasets
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# This check is redundant since the package_update function will throw an exception
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# if a list of allowed users is included in a public dataset. However, this check
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# should be performed in order to avoid strange future exceptions
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if dataset.get('private', None) is True:
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# Create the array if it does not exist
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if constants.ALLOWED_USERS not in dataset or dataset[constants.ALLOWED_USERS] is None:
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dataset[constants.ALLOWED_USERS] = []
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# Add the user only if it is not in the list
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if user_info['user'] not in dataset[constants.ALLOWED_USERS]:
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dataset[constants.ALLOWED_USERS].append(user_info['user'])
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context_pkg_update = context.copy()
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context_pkg_update['ignore_auth'] = True
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plugins.toolkit.get_action('package_update')(context_pkg_update, dataset)
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else:
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log.warn('The user %s is already allowed to access the %s dataset' % (user_info['user'], dataset_id))
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else:
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warns.append('Unable to upload the dataset %s: It\'s a public dataset' % dataset_id)
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except plugins.toolkit.ObjectNotFound:
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# If a dataset does not exist in the instance, an error message will be returned to the user.
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# However the process won't stop and the process will continue with the remaining datasets.
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log.warn('Dataset %s was not found in this instance' % dataset_id)
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warns.append('Dataset %s was not found in this instance' % dataset_id)
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except plugins.toolkit.ValidationError as e:
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# Some datasets does not allow to introduce the list of allowed users since this property is
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# only valid for private datasets outside an organization. In this case, a wanr will return
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# but the process will continue
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# WARN: This exception should not be risen anymore since public datasets are not updated.
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warns.append('%s(%s): %s' % (dataset_id, constants.ALLOWED_USERS, e.error_dict[constants.ALLOWED_USERS][0]))
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# Return warnings that inform about non-existing datasets
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if len(warns) > 0:
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return {'warns': warns}
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