Feat: Implement belief collector #14

Merged
8464960 merged 6 commits from feat/belief-collector into dev 2025-10-29 14:38:52 +00:00
7 changed files with 185 additions and 5 deletions
Showing only changes of commit 1f34b14dfa - Show all commits

View File

@@ -0,0 +1,109 @@
import json
import logging
from spade.behaviour import CyclicBehaviour
from spade.message import Message
from control_backend.core.config import settings
logger = logging.getLogger(__name__)
class ContinuousBeliefCollector(CyclicBehaviour):
"""
Continuously collects beliefs/emotions from extractor agents:
Then we send a unified belief packet to the BDI agent.
"""
async def run(self):
msg = await self.receive(timeout=0.1) # Wait for 0.1s
if msg:
await self._process_message(msg)
async def _process_message(self, msg: Message):
sender_node = self._sender_node(msg)
# Parse JSON payload
try:
payload = json.loads(msg.body)
except Exception as e:
logger.warning(
"BeliefCollector: failed to parse JSON from %s. Body=%r Error=%s",
sender_node, msg.body, e
)
return
msg_type = payload.get("type")
# Prefer explicit 'type' field
if msg_type == "belief_extraction_text" or sender_node == "belief_text_agent_mock":
logger.info("BeliefCollector: message routed to _handle_belief_text (sender=%s)", sender_node)
await self._handle_belief_text(payload, sender_node)
#This is not implemented yet, but we keep the structure for future use
elif msg_type == "emotion_extraction_text" or sender_node == "emo_text_agent_mock":
logger.info("BeliefCollector: message routed to _handle_emo_text (sender=%s)", sender_node)
await self._handle_emo_text(payload, sender_node)
else:
logger.info(
"BeliefCollector: unrecognized message (sender=%s, type=%r). Ignoring.",
sender_node, msg_type
)
@staticmethod
def _sender_node(msg: Message) -> str:
"""
Extracts the 'node' (localpart) of the sender JID.
E.g., 'agent@host/resource' -> 'agent'
"""
s = str(msg.sender) if msg.sender is not None else "no_sender"
return s.split("@", 1)[0] if "@" in s else s
async def _handle_belief_text(self, payload: dict, origin: str):
"""
Expected payload:
{
"type": "belief_extraction_text",
"beliefs": [
{"user_said": [["hello"],["Can you help me?"],["stop talking to me"],["No"],["Pepper do a dance"]]}
]
}
"""
beliefs = payload.get("beliefs", [])
if not isinstance(beliefs, list):
logger.warning("BeliefCollector: 'beliefs' is not a list: %r", beliefs)
return
logger.info("BeliefCollector: forwarding %d beliefs.", len(beliefs))
for b in beliefs:
logger.info(" - %s", b)
await self._send_beliefs_to_bdi(beliefs, origin=origin)
async def _handle_emo_text(self, payload: dict, origin: str):
"""TODO: implement (after we have emotional recogntion)"""
pass
async def _send_beliefs_to_bdi(self, beliefs: list[str], origin: str | None = None):
"""
Sends a unified belief packet to the BDI agent.
"""
if not beliefs:
return
to_jid = f"{settings.agent_settings.bdi_core_agent_name}@{settings.agent_settings.host}"
packet = {
"type": "belief_packet",
"origin": origin,
"beliefs": beliefs,
}
msg = Message(to=to_jid)
msg.body = json.dumps(packet)
await self.send(msg)
logger.info("BeliefCollector: sent %d belief(s) to BDI at %s", len(beliefs), to_jid)

View File

@@ -0,0 +1,13 @@
import logging
from spade.agent import Agent
from .behaviours.continuous_collect import ContinuousBeliefCollector
logger = logging.getLogger(__name__)
class BeliefCollectorAgent(Agent):
async def setup(self):
logger.info("BeliefCollectorAgent starting (%s)", self.jid)
# Attach the continuous collector behaviour (listens and forwards to BDI)
self.add_behaviour(ContinuousBeliefCollector())
logger.info("BeliefCollectorAgent ready.")

View File

@@ -0,0 +1,31 @@
import json
from spade.agent import Agent
from spade.behaviour import OneShotBehaviour
from spade.message import Message
from control_backend.core.config import settings
class BeliefTextAgent(Agent):
class SendOnceBehaviourBlfText(OneShotBehaviour):
async def run(self):
to_jid = f"{settings.agent_settings.belief_collector_agent_name}@{settings.agent_settings.host}"
# Send multiple beliefs in one JSON payload
payload = {
"type": "belief_extraction_text",
"beliefs": [
{"user_said": [["hello"],["Can you help me?"],["stop talking to me"],["No"],["Pepper do a dance"]]}
]
}
msg = Message(to=to_jid)
msg.body = json.dumps(payload)
await self.send(msg)
print(f"Beliefs sent to {to_jid}!")
self.exit_code = "Job Finished!"
await self.agent.stop()
async def setup(self):
print("BeliefTextAgent started")
self.b = self.SendOnceBehaviourBlfText()
self.add_behaviour(self.b)

View File

@@ -10,6 +10,9 @@ class AgentSettings(BaseModel):
bdi_core_agent_name: str = "bdi_core"
belief_collector_agent_name: str = "belief_collector"
test_agent_name: str = "test_agent"
#mock agents for belief collector
emo_text_agent_mock_name: str = "emo_text_agent_mock"
belief_text_agent_mock_name: str = "belief_text_agent_mock"
class Settings(BaseSettings):
app_title: str = "PepperPlus"

View File

@@ -12,11 +12,17 @@ from spade.behaviour import OneShotBehaviour
import zmq
# Internal imports
from control_backend.agents.bdi.bdi_core import BDICoreAgent
from control_backend.api.v1.router import api_router
from control_backend.core.config import AgentSettings, settings
from control_backend.core.zmq_context import context
# Agents
from control_backend.agents.bdi.bdi_core import BDICoreAgent
from control_backend.agents.belief_collector.belief_collector import BeliefCollectorAgent
from control_backend.agents.mock_agents.emo_text_mock import EmoTextAgent
from control_backend.agents.mock_agents.belief_text_mock import BeliefTextAgent
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
@@ -32,8 +38,26 @@ async def lifespan(app: FastAPI):
logger.info("Internal publishing socket bound to %s", internal_comm_socket)
# Initiate agents
bdi_core = BDICoreAgent(settings.agent_settings.bdi_core_agent_name + '@' + settings.agent_settings.host, settings.agent_settings.bdi_core_agent_name, "src/control_backend/agents/bdi/rules.asl")
host = settings.agent_settings.host
bdi_core = BDICoreAgent(
settings.agent_settings.bdi_core_agent_name + '@' + host,
settings.agent_settings.bdi_core_agent_name,
"src/control_backend/agents/bdi/rules.asl"
)
belief_collector = BeliefCollectorAgent(
settings.agent_settings.belief_collector_agent_name + '@' + host,
settings.agent_settings.belief_collector_agent_name
)
belief_text_mock = BeliefTextAgent(
settings.agent_settings.belief_text_agent_mock_name + '@' + host,
settings.agent_settings.belief_text_agent_mock_name
)
await bdi_core.start()
await belief_collector.start()
await belief_text_mock.start()
yield