Implement logs model using Elasticsearch

- Implement logs model using Elasticsearch with tests
- Implement transition model using both elasticsearch and database model
- Add LOGS_MODEL configuration to choose which to use.

Co-authored-by: Sida Chen <sidchen@redhat.com>
Co-authored-by: Kenny Lee Sin Cheong <kenny.lee@redhat.com>

data/logs_model/table_logs_model.py

@@ -13,6 +13,7 @@ from data import model
 from data.database import LogEntry, LogEntry2, LogEntry3
 from data.logs_model.interface import ActionLogsDataInterface, LogsIterationTimeout
 from data.logs_model.datatypes import Log, AggregatedLogCount, LogEntriesPage, _format_date
+from data.logs_model.shared import SharedModel
 
 logger = logging.getLogger(__name__)
 
@@ -24,7 +25,7 @@ EXPECTED_ITERATION_LOG_COUNT = 1000
 LOG_MODELS = [LogEntry3, LogEntry2, LogEntry]
 
 
-class TableLogsModel(ActionLogsDataInterface):
+class TableLogsModel(SharedModel, ActionLogsDataInterface):
   """
   TableLogsModel implements the data model for the logs API backed by a single table
   in the database.
@@ -121,34 +122,6 @@ class TableLogsModel(ActionLogsDataInterface):
     model.log.log_action(kind_name, namespace_name, performer=performer, repository=repository,
                          ip=ip, metadata=metadata or {}, timestamp=timestamp)
 
-  def queue_logs_export(self, start_datetime, end_datetime, export_action_logs_queue,
-                        namespace_name=None, repository_name=None, callback_url=None,
-                        callback_email=None, filter_kinds=None):
-    export_id = str(uuid.uuid4())
-    namespace = model.user.get_namespace_user(namespace_name)
-    if namespace is None:
-      return None
-
-    repository = None
-    if repository_name is not None:
-      repository = model.repository.get_repository(namespace_name, repository_name)
-      if repository is None:
-        return None
-
-    export_action_logs_queue.put([namespace_name], json.dumps({
-      'export_id': export_id,
-      'repository_id': repository.id if repository else None,
-      'namespace_id': namespace.id,
-      'namespace_name': namespace.username,
-      'repository_name': repository.name if repository else None,
-      'start_time': _format_date(start_datetime),
-      'end_time': _format_date(end_datetime),
-      'callback_url': callback_url,
-      'callback_email': callback_email,
-    }), retries_remaining=3)
-
-    return export_id
-
   def yield_logs_for_export(self, start_datetime, end_datetime, repository_id=None,
                             namespace_id=None, max_query_time=None):
     # Using an adjusting scale, start downloading log rows in batches, starting at