901 - changed acl current obs from list to numpy.array, changed default ACL list in training_config.py to FALSE, and tried to make test_seeding_and_deterministic_session.py test without fixed reward results

src/primaite/config/training_config.py

@@ -94,13 +94,13 @@ class TrainingConfig:
     "Stable Baselines3 learn/eval output verbosity level"
 
     # Access Control List/Rules
-    apply_implicit_rule: str = True
+    apply_implicit_rule: str = False
     "User choice to have Implicit ALLOW or DENY."
 
     implicit_acl_rule: RulePermissionType = RulePermissionType.DENY
     "ALLOW or DENY implicit firewall rule to go at the end of list of ACL list."
 
-    max_number_acl_rules: int = 0
+    max_number_acl_rules: int = 10
     "Sets a limit for number of acl rules allowed in the list and environment."
 
     # Reward values

src/primaite/environment/observations.py

@@ -519,30 +519,26 @@ class AccessControlList(AbstractObservationComponent):
                         port_int = self.env.ports_list.index(port) + 2
                     else:
                         _LOGGER.info(f"Port {port} could not be found.")
+                        port_int = None
 
                 # Either do the multiply on the obs space
                 # Change the obs to
-                items_to_add = [
-                    permission_int,
-                    source_ip_int,
-                    dest_ip_int,
-                    protocol_int,
-                    port_int,
-                    position,
-                ]
-                position = position * 6
-                for item in items_to_add:
-                    # print("position", position, "\nitem", int(item))
-                    obs.insert(position, int(item))
-                    position += 1
+                obs.extend(
+                    [
+                        permission_int,
+                        source_ip_int,
+                        dest_ip_int,
+                        protocol_int,
+                        port_int,
+                        position,
+                    ]
+                )
+
             else:
-                starting_position = index * 6
-                for placeholder in range(6):
-                    obs.insert(starting_position, 0)
-                    starting_position += 1
+                obs.extend([0, 0, 0, 0, 0, 0])
 
         # print("current obs", obs, "\n" ,len(obs))
-        self.current_observation = obs
+        self.current_observation[:] = obs
 
     def generate_structure(self):
         """Return a list of labels for the components of the flattened observation space."""