Merge remote-tracking branch 'origin/dev' into feat/cb2ui-robot-connections

This commit is contained in:
Björn Otgaar
2025-10-23 16:48:04 +02:00
13 changed files with 487 additions and 9 deletions

3
.gitignore vendored
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@@ -215,7 +215,8 @@ __marimo__/
# Streamlit
.streamlit/secrets.toml
# MacOS
.DS_Store

26
.gitlab-ci.yml Normal file
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@@ -0,0 +1,26 @@
# ---------- GLOBAL SETUP ---------- #
workflow:
rules:
- if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
stages:
- install
- lint
- test
variables:
UV_VERSION: "0.9.4"
PYTHON_VERSION: "3.13"
BASE_LAYER: trixie-slim
default:
image: ghcr.io/astral-sh/uv:$UV_VERSION-python$PYTHON_VERSION-$BASE_LAYER
# ---------- TESTING ---------- #
test:
stage: test
tags:
- test
script:
- uv run --only-group test pytest

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@@ -2,7 +2,7 @@
We begin by installing UV (very nice utility for managing packages and Python version):
```bash
# On macOS and Linux.
# On MacOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh
```
```bash
@@ -23,6 +23,13 @@ To run the project (development server), execute the following command (while in
uv run fastapi dev src/control_backend/main.py
```
## Testing
Testing happens automatically when opening a merge request to any branch. If you want to manually run the test suite, you can do so by running the following:
```bash
uv run --only-group test pytest
```
## GitHooks
To activate automatic commits/branch name checks run:

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@@ -18,6 +18,18 @@ dependencies = [
"pyzmq>=27.1.0",
"silero-vad>=6.0.0",
"spade>=4.1.0",
"spade-bdi>=0.3.2",
"torch>=2.8.0",
"uvicorn>=0.37.0",
]
[dependency-groups]
test = [
"pytest>=8.4.2",
"pytest-asyncio>=1.2.0",
"pytest-cov>=7.0.0",
"pytest-mock>=3.15.1",
]
[tool.pytest.ini_options]
pythonpath = ["src"]

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@@ -0,0 +1,35 @@
import logging
import agentspeak
from spade_bdi.bdi import BDIAgent
from control_backend.agents.bdi.behaviours.belief_setter import BeliefSetter
class BDICoreAgent(BDIAgent):
"""
This is the Brain agent that does the belief inference with AgentSpeak.
This is a continous process that happens automatically in the background.
This class contains all the actions that can be called from AgentSpeak plans.
It has the BeliefSetter behaviour.
"""
logger = logging.getLogger("BDI Core")
async def setup(self):
belief_setter = BeliefSetter()
self.add_behaviour(belief_setter)
def add_custom_actions(self, actions):
@actions.add(".reply", 1)
def _reply(agent, term, intention):
message = agentspeak.grounded(term.args[0], intention.scope)
self.logger.info(f"Replying to message: {message}")
reply = self._send_to_llm(message)
self.logger.info(f"Received reply: {reply}")
yield
def _send_to_llm(self, message) -> str:
"""TODO: implement"""
return f"This is a reply to {message}"

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@@ -0,0 +1,60 @@
import asyncio
import json
import logging
from spade.agent import Message
from spade.behaviour import CyclicBehaviour
from spade_bdi.bdi import BDIAgent
from control_backend.core.config import settings
class BeliefSetter(CyclicBehaviour):
"""
This is the behaviour that the BDI agent runs.
This behaviour waits for incoming message and processes it based on sender.
Currently, t only waits for messages containing beliefs from Belief Collector and adds these to its KB.
"""
agent: BDIAgent
logger = logging.getLogger("BDI/Belief Setter")
async def run(self):
msg = await self.receive(timeout=0.1)
if msg:
self.logger.info(f"Received message {msg.body}")
self._process_message(msg)
await asyncio.sleep(1)
def _process_message(self, message: Message):
sender = message.sender.node # removes host from jid and converts to str
self.logger.debug("Sender: %s", sender)
match sender:
case settings.agent_settings.belief_collector_agent_name:
self.logger.debug("Processing message from belief collector.")
self._process_belief_message(message)
case _:
pass
def _process_belief_message(self, message: Message):
if not message.body: return
match message.thread:
case "beliefs":
try:
beliefs: dict[str, list[list[str]]] = json.loads(message.body)
self._set_beliefs(beliefs)
except json.JSONDecodeError as e:
self.logger.error("Could not decode beliefs into JSON format: %s", e)
case _:
pass
def _set_beliefs(self, beliefs: dict[str, list[list[str]]]):
if self.agent.bdi is None:
self.logger.warning("Cannot set beliefs, since agent's BDI is not yet initialized.")
return
for belief, arguments_list in beliefs.items():
for arguments in arguments_list:
self.agent.bdi.set_belief(belief, *arguments)
self.logger.info("Set belief %s with arguments %s", belief, arguments)

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@@ -0,0 +1,3 @@
+user_said(Message) : not responded <-
+responded;
.reply(Message).

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@@ -1,19 +1,25 @@
# Standard library imports
import asyncio
import json
# External imports
import contextlib
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import logging
from spade.agent import Agent, Message
from spade.behaviour import OneShotBehaviour
import zmq
# Internal imports
from control_backend.agents.test_agent import TestAgent
from control_backend.agents.ri_communication_agent import RICommunicationAgent
from control_backend.agents.bdi.bdi_core import BDICoreAgent
from control_backend.api.v1.router import api_router
from control_backend.core.config import settings
from control_backend.core.config import AgentSettings, settings
from control_backend.core.zmq_context import context
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
logging.basicConfig(level=logging.DEBUG)
@contextlib.asynccontextmanager
async def lifespan(app: FastAPI):
@@ -32,11 +38,13 @@ async def lifespan(app: FastAPI):
address="tcp://*:5555", bind=True)
await ri_communication_agent.start()
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")
await bdi_core.start()
yield
logger.info("%s shutting down.", app.title)
# if __name__ == "__main__":
app = FastAPI(title=settings.app_title, lifespan=lifespan)

37
test/conftest.py Normal file
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@@ -0,0 +1,37 @@
import sys
from unittest.mock import MagicMock
import sys
from unittest.mock import MagicMock
def pytest_configure(config):
"""
This hook runs at the start of the pytest session, before any tests are
collected. It mocks heavy or unavailable modules to prevent ImportErrors.
"""
# --- Mock spade and spade-bdi ---
mock_spade = MagicMock()
mock_spade.agent = MagicMock()
mock_spade.behaviour = MagicMock()
mock_spade_bdi = MagicMock()
mock_spade_bdi.bdi = MagicMock()
mock_spade.agent.Message = MagicMock()
mock_spade.behaviour.CyclicBehaviour = type('CyclicBehaviour', (object,), {})
mock_spade_bdi.bdi.BDIAgent = type('BDIAgent', (object,), {})
sys.modules['spade'] = mock_spade
sys.modules['spade.agent'] = mock_spade.agent
sys.modules['spade.behaviour'] = mock_spade.behaviour
sys.modules['spade_bdi'] = mock_spade_bdi
sys.modules['spade_bdi.bdi'] = mock_spade_bdi.bdi
# --- Mock the config module to prevent Pydantic ImportError ---
mock_config_module = MagicMock()
# The code under test does `from ... import settings`, so our mock module
# must have a `settings` attribute. We'll make it a MagicMock so we can
# configure it later in our tests using mocker.patch.
mock_config_module.settings = MagicMock()
sys.modules['control_backend.core.config'] = mock_config_module

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@@ -0,0 +1,236 @@
import json
import logging
from unittest.mock import MagicMock, AsyncMock, call
import pytest
from control_backend.agents.bdi.behaviours.belief_setter import BeliefSetter
# Define a constant for the collector agent name to use in tests
COLLECTOR_AGENT_NAME = "belief_collector"
COLLECTOR_AGENT_JID = f"{COLLECTOR_AGENT_NAME}@test"
@pytest.fixture
def mock_agent(mocker):
"""Fixture to create a mock BDIAgent."""
agent = MagicMock()
agent.bdi = MagicMock()
agent.jid = "bdi_agent@test"
return agent
@pytest.fixture
def belief_setter(mock_agent, mocker):
"""Fixture to create an instance of BeliefSetter with a mocked agent."""
# Patch the settings to use a predictable agent name
mocker.patch(
"control_backend.agents.bdi.behaviours.belief_setter.settings.agent_settings.belief_collector_agent_name",
COLLECTOR_AGENT_NAME
)
# Patch asyncio.sleep to prevent tests from actually waiting
mocker.patch("asyncio.sleep", return_value=None)
setter = BeliefSetter()
setter.agent = mock_agent
# Mock the receive method, we will control its return value in each test
setter.receive = AsyncMock()
return setter
def create_mock_message(sender_node: str, body: str, thread: str) -> MagicMock:
"""Helper function to create a configured mock message."""
msg = MagicMock()
msg.sender.node = sender_node # MagicMock automatically creates nested mocks
msg.body = body
msg.thread = thread
return msg
@pytest.mark.asyncio
async def test_run_no_message_received(belief_setter, mocker):
"""
Test that when no message is received, _process_message is not called.
"""
# Arrange
belief_setter.receive.return_value = None
mocker.patch.object(belief_setter, "_process_message")
# Act
await belief_setter.run()
# Assert
belief_setter._process_message.assert_not_called()
@pytest.mark.asyncio
async def test_run_message_received(belief_setter, mocker):
"""
Test that when a message is received, _process_message is called.
"""
# Arrange
msg = MagicMock();
belief_setter.receive.return_value = msg
mocker.patch.object(belief_setter, "_process_message")
# Act
await belief_setter.run()
# Assert
belief_setter._process_message.assert_called_once_with(msg)
def test_process_message_from_belief_collector(belief_setter, mocker):
"""
Test processing a message from the correct belief collector agent.
"""
# Arrange
msg = create_mock_message(sender_node=COLLECTOR_AGENT_NAME, body="", thread="")
mock_process_belief = mocker.patch.object(belief_setter, "_process_belief_message")
# Act
belief_setter._process_message(msg)
# Assert
mock_process_belief.assert_called_once_with(msg)
def test_process_message_from_other_agent(belief_setter, mocker):
"""
Test that messages from other agents are ignored.
"""
# Arrange
msg = create_mock_message(sender_node="other_agent", body="", thread="")
mock_process_belief = mocker.patch.object(belief_setter, "_process_belief_message")
# Act
belief_setter._process_message(msg)
# Assert
mock_process_belief.assert_not_called()
def test_process_belief_message_valid_json(belief_setter, mocker):
"""
Test processing a valid belief message with correct thread and JSON body.
"""
# Arrange
beliefs_payload = {
"is_hot": [["kitchen"]],
"is_clean": [["kitchen"], ["bathroom"]]
}
msg = create_mock_message(
sender_node=COLLECTOR_AGENT_JID,
body=json.dumps(beliefs_payload),
thread="beliefs"
)
mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
# Act
belief_setter._process_belief_message(msg)
# Assert
mock_set_beliefs.assert_called_once_with(beliefs_payload)
def test_process_belief_message_invalid_json(belief_setter, mocker, caplog):
"""
Test that a message with invalid JSON is handled gracefully and an error is logged.
"""
# Arrange
msg = create_mock_message(
sender_node=COLLECTOR_AGENT_JID,
body="this is not a json string",
thread="beliefs"
)
mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
# Act
with caplog.at_level(logging.ERROR):
belief_setter._process_belief_message(msg)
# Assert
mock_set_beliefs.assert_not_called()
assert "Could not decode beliefs into JSON format" in caplog.text
def test_process_belief_message_wrong_thread(belief_setter, mocker):
"""
Test that a message with an incorrect thread is ignored.
"""
# Arrange
msg = create_mock_message(
sender_node=COLLECTOR_AGENT_JID,
body='{"some": "data"}',
thread="not_beliefs"
)
mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
# Act
belief_setter._process_belief_message(msg)
# Assert
mock_set_beliefs.assert_not_called()
def test_process_belief_message_empty_body(belief_setter, mocker):
"""
Test that a message with an empty body is ignored.
"""
# Arrange
msg = create_mock_message(
sender_node=COLLECTOR_AGENT_JID,
body="",
thread="beliefs"
)
mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
# Act
belief_setter._process_belief_message(msg)
# Assert
mock_set_beliefs.assert_not_called()
def test_set_beliefs_success(belief_setter, mock_agent, caplog):
"""
Test that beliefs are correctly set on the agent's BDI.
"""
# Arrange
beliefs_to_set = {
"is_hot": [["kitchen"], ["living_room"]],
"door_is": [["front_door", "closed"]]
}
# Act
with caplog.at_level(logging.INFO):
belief_setter._set_beliefs(beliefs_to_set)
# Assert
expected_calls = [
call("is_hot", "kitchen"),
call("is_hot", "living_room"),
call("door_is", "front_door", "closed")
]
mock_agent.bdi.set_belief.assert_has_calls(expected_calls, any_order=True)
assert mock_agent.bdi.set_belief.call_count == 3
# Check logs
assert "Set belief is_hot with arguments ['kitchen']" in caplog.text
assert "Set belief is_hot with arguments ['living_room']" in caplog.text
assert "Set belief door_is with arguments ['front_door', 'closed']" in caplog.text
def test_set_beliefs_bdi_not_initialized(belief_setter, mock_agent, caplog):
"""
Test that a warning is logged if the agent's BDI is not initialized.
"""
# Arrange
mock_agent.bdi = None # Simulate BDI not being ready
beliefs_to_set = {"is_hot": [["kitchen"]]}
# Act
with caplog.at_level(logging.WARNING):
belief_setter._set_beliefs(beliefs_to_set)
# Assert
assert "Cannot set beliefs, since agent's BDI is not yet initialized." in caplog.text

59
uv.lock generated
View File

@@ -6,6 +6,18 @@ resolution-markers = [
"python_full_version < '3.14'",
]
[[package]]
name = "agentspeak"
version = "0.2.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d0/a3/f8e9292cfd47aa5558f4578c498ca12c068a3a1d60ddfd0af13a87c1e47a/agentspeak-0.2.2.tar.gz", hash = "sha256:7c7fcf689fd54460597be1798ce11535f42a60c3d79af59381af3e13ef7a41bb", size = 59628, upload-time = "2024-03-21T11:55:39.026Z" }
wheels = [
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]
[[package]]
name = "aiodns"
version = "3.5.0"
@@ -700,11 +712,11 @@ wheels = [
[[package]]
name = "iniconfig"
version = "2.1.0"
version = "2.3.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/f2/97/ebf4da567aa6827c909642694d71c9fcf53e5b504f2d96afea02718862f3/iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7", size = 4793, upload-time = "2025-03-19T20:09:59.721Z" }
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[[package]]
@@ -1295,10 +1307,19 @@ dependencies = [
{ name = "pyzmq" },
{ name = "silero-vad" },
{ name = "spade" },
{ name = "spade-bdi" },
{ name = "torch" },
{ name = "uvicorn" },
]
[package.dev-dependencies]
test = [
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-cov" },
{ name = "pytest-mock" },
]
[package.metadata]
requires-dist = [
{ name = "fastapi", extras = ["all"], specifier = ">=0.115.6" },
@@ -1314,10 +1335,28 @@ requires-dist = [
{ name = "pyzmq", specifier = ">=27.1.0" },
{ name = "silero-vad", specifier = ">=6.0.0" },
{ name = "spade", specifier = ">=4.1.0" },
{ name = "spade-bdi", specifier = ">=0.3.2" },
{ name = "torch", specifier = ">=2.8.0" },
{ name = "uvicorn", specifier = ">=0.37.0" },
]
[package.metadata.requires-dev]
test = [
{ name = "pytest", specifier = ">=8.4.2" },
{ name = "pytest-asyncio", specifier = ">=1.2.0" },
{ name = "pytest-cov", specifier = ">=7.0.0" },
{ name = "pytest-mock", specifier = ">=3.15.1" },
]
[[package]]
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version = "1.6.0"
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[[package]]
name = "pluggy"
version = "1.6.0"
@@ -2082,6 +2121,20 @@ wheels = [
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]
[[package]]
name = "spade-bdi"
version = "0.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "agentspeak" },
{ name = "loguru" },
{ name = "spade" },
]
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name = "sqlalchemy"
version = "2.0.40"