text: # Copyright (c) 2014 Mirantis Inc.
  #
  #    Licensed under the Apache License, Version 2.0 (the "License"); you may
  #    not use this file except in compliance with the License. You may obtain
  #    a copy of the License at
  #
  #         http://www.apache.org/licenses/LICENSE-2.0
  #
  #    Unless required by applicable law or agreed to in writing, software
  #    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  #    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  #    License for the specific language governing permissions and limitations
  #    under the License.
  
  from tempest import config
  from tempest import exceptions
  import tempest.test
  
  
  CONF = config.CONF
  
  
  class BaseDataProcessingTest(tempest.test.BaseTestCase):
      _interface = 'json'
  
      @classmethod
      def resource_setup(cls):
          super(BaseDataProcessingTest, cls).resource_setup()
          if not CONF.service_available.sahara:
              raise cls.skipException('Sahara support is required')
  
          cls.os = cls.get_client_manager()
          cls.client = cls.os.data_processing_client
  
          cls.flavor_ref = CONF.compute.flavor_ref
  
          # add lists for watched resources
          cls._node_group_templates = []
          cls._cluster_templates = []
          cls._data_sources = []
          cls._job_binary_internals = []
          cls._job_binaries = []
          cls._jobs = []
  
      @classmethod
      def resource_cleanup(cls):
          cls.cleanup_resources(getattr(cls, '_cluster_templates', []),
                                cls.client.delete_cluster_template)
          cls.cleanup_resources(getattr(cls, '_node_group_templates', []),
                                cls.client.delete_node_group_template)
          cls.cleanup_resources(getattr(cls, '_jobs', []), cls.client.delete_job)
          cls.cleanup_resources(getattr(cls, '_job_binaries', []),
                                cls.client.delete_job_binary)
          cls.cleanup_resources(getattr(cls, '_job_binary_internals', []),
                                cls.client.delete_job_binary_internal)
          cls.cleanup_resources(getattr(cls, '_data_sources', []),
                                cls.client.delete_data_source)
          cls.clear_isolated_creds()
          super(BaseDataProcessingTest, cls).resource_cleanup()
  
      @staticmethod
      def cleanup_resources(resource_id_list, method):
          for resource_id in resource_id_list:
              try:
                  method(resource_id)
              except exceptions.NotFound:
                  # ignore errors while auto removing created resource
                  pass
  
      @classmethod
      def create_node_group_template(cls, name, plugin_name, hadoop_version,
                                     node_processes, flavor_id,
                                     node_configs=None, **kwargs):
          """Creates watched node group template with specified params.
  
          It supports passing additional params using kwargs and returns created
          object. All resources created in this method will be automatically
          removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_node_group_template(name, plugin_name,
                                                               hadoop_version,
                                                               node_processes,
                                                               flavor_id,
                                                               node_configs,
                                                               **kwargs)
          # store id of created node group template
          cls._node_group_templates.append(resp_body['id'])
  
          return resp_body
  
      @classmethod
      def create_cluster_template(cls, name, plugin_name, hadoop_version,
                                  node_groups, cluster_configs=None, **kwargs):
          """Creates watched cluster template with specified params.
  
          It supports passing additional params using kwargs and returns created
          object. All resources created in this method will be automatically
          removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_cluster_template(name, plugin_name,
                                                            hadoop_version,
                                                            node_groups,
                                                            cluster_configs,
                                                            **kwargs)
          # store id of created cluster template
          cls._cluster_templates.append(resp_body['id'])
  
          return resp_body
  
      @classmethod
      def create_data_source(cls, name, type, url, **kwargs):
          """Creates watched data source with specified params.
  
          It supports passing additional params using kwargs and returns created
          object. All resources created in this method will be automatically
          removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_data_source(name, type, url, **kwargs)
          # store id of created data source
          cls._data_sources.append(resp_body['id'])
  
          return resp_body
  
      @classmethod
      def create_job_binary_internal(cls, name, data):
          """Creates watched job binary internal with specified params.
  
          It returns created object. All resources created in this method will
          be automatically removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_job_binary_internal(name, data)
          # store id of created job binary internal
          cls._job_binary_internals.append(resp_body['id'])
  
          return resp_body
  
      @classmethod
      def create_job_binary(cls, name, url, extra=None, **kwargs):
          """Creates watched job binary with specified params.
  
          It supports passing additional params using kwargs and returns created
          object. All resources created in this method will be automatically
          removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_job_binary(name, url, extra, **kwargs)
          # store id of created job binary
          cls._job_binaries.append(resp_body['id'])
  
          return resp_body
  
      @classmethod
      def create_job(cls, name, job_type, mains, libs=None, **kwargs):
          """Creates watched job with specified params.
  
          It supports passing additional params using kwargs and returns created
          object. All resources created in this method will be automatically
          removed in tearDownClass method.
          """
          _, resp_body = cls.client.create_job(name,
                                               job_type, mains, libs, **kwargs)
          # store id of created job
          cls._jobs.append(resp_body['id'])
  
          return resp_body
  