src/control_backend/agents/bdi/agentspeak_generator.py

@@ -415,6 +415,11 @@ class AgentSpeakGenerator:
     def slugify(element: ProgramElement) -> str:
         raise NotImplementedError(f"Cannot convert element {element} to a slug.")
 
+    @slugify.register
+    @staticmethod
+    def _(n: Norm) -> str:
+        return f"norm_{AgentSpeakGenerator._slugify_str(n.norm)}"
+
     @slugify.register
     @staticmethod
     def _(sb: SemanticBelief) -> str:

src/control_backend/agents/user_interrupt/user_interrupt_agent.py

@@ -8,7 +8,7 @@ from control_backend.agents import BaseAgent
 from control_backend.agents.bdi.agentspeak_generator import AgentSpeakGenerator
 from control_backend.core.agent_system import InternalMessage
 from control_backend.core.config import settings
-from control_backend.schemas.program import Program
+from control_backend.schemas.program import BasicNorm, Program
 from control_backend.schemas.ri_message import GestureCommand, RIEndpoint, SpeechCommand
 
 
@@ -211,15 +211,17 @@ class UserInterruptAgent(BaseAgent):
                     self._goal_map[str(goal.id)] = AgentSpeakGenerator.slugify(goal)
 
                 for norm in phase.norms:
-                    if norm.condition:
+                    if not isinstance(norm, BasicNorm):
                         asl_slug = AgentSpeakGenerator.slugify(norm)
-                        belief_id = str(norm.condition)
+
+                        belief_id = str(norm.condition.id)
 
                         self._cond_norm_map[belief_id] = asl_slug
                         self._cond_norm_reverse_map[asl_slug] = belief_id
 
             self.logger.info(
-                f"Mapped {len(self._trigger_map)} triggers and {len(self._goal_map)} goals."
+                f"Mapped {len(self._trigger_map)} triggers and {len(self._goal_map)} goals "
+                f"and {len(self._cond_norm_map)} conditional norms for UserInterruptAgent."
             )
         except Exception as e:
             self.logger.error(f"Mapping failed: {e}")