feat: implement demo version for demo

ref: N25B-208

src/control_backend/agents/bdi/behaviours/text_belief_extractor.py

@@ -80,7 +80,7 @@ class BeliefFromText(CyclicBehaviour):
         Demo version to process the transcription input to beliefs. For the demo only the belief 'user_said' is relevant so
         this function simply makes a dict with key: "user_said", value: txt and passes this to the Belief Collector agent.
         """
-        belief = {"user_said": [[txt]]}
+        belief = {"user_said": [txt]}
         payload = json.dumps(belief)
         # TODO: Change to belief collector
         belief_msg = Message(to=settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, body=payload)

src/control_backend/agents/bdi/test_agent.py

@@ -1,25 +0,0 @@
-import spade
-from spade.agent import Agent
-from spade.behaviour import OneShotBehaviour
-from spade.message import Message
-from control_backend.core.config import settings
-
-class SenderAgent(Agent):
-    class InformBehav(OneShotBehaviour):
-        async def run(self):
-            msg = Message(to=settings.agent_settings.text_belief_extractor_agent_name + '@' + settings.agent_settings.host)     # Instantiate the message
-            msg.body = "This is a test input to extract beliefs from.\n"                    # Set the message content
-
-            await self.send(msg)
-            print("Message sent!")
-
-            # set exit_code for the behaviour
-            self.exit_code = "Job Finished!"
-
-            # stop agent from behaviour
-            await self.agent.stop()
-
-    async def setup(self):
-        print("SenderAgent started")
-        self.b = self.InformBehav()
-        self.add_behaviour(self.b)

src/control_backend/main.py

@@ -36,10 +36,8 @@ async def lifespan(app: FastAPI):
     # Initiate agents
     bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, "placeholder", "src/control_backend/agents/bdi/rules.asl")
     await bdi_core.start()
-    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placehodler")
+    text_belief_extractor = TBeliefExtractor(settings.agent_settings.belief_collector_agent_name + '@' + settings.agent_settings.host, "placeholder")
     await text_belief_extractor.start()
-    test_agent = SenderAgent(settings.agent_settings.test_agent_name + '@' + settings.agent_settings.host, "placeholder")
-    await test_agent.start()
     
     yield