Merge remote-tracking branch 'origin/dev' into feat/belief-collector
This commit is contained in:
@@ -1,10 +1,10 @@
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import json
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import logging
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from unittest.mock import MagicMock, AsyncMock, call
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from unittest.mock import AsyncMock, MagicMock, call
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import pytest
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from control_backend.agents.bdi.behaviours.belief_setter import BeliefSetter
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from control_backend.agents.bdi.behaviours.belief_setter import BeliefSetterBehaviour
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# Define a constant for the collector agent name to use in tests
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COLLECTOR_AGENT_NAME = "belief_collector"
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@@ -22,16 +22,14 @@ def mock_agent(mocker):
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@pytest.fixture
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def belief_setter(mock_agent, mocker):
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"""Fixture to create an instance of BeliefSetter with a mocked agent."""
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"""Fixture to create an instance of BeliefSetterBehaviour with a mocked agent."""
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# Patch the settings to use a predictable agent name
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mocker.patch(
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"control_backend.agents.bdi.behaviours.belief_setter.settings.agent_settings.belief_collector_agent_name",
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COLLECTOR_AGENT_NAME
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COLLECTOR_AGENT_NAME,
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)
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# Patch asyncio.sleep to prevent tests from actually waiting
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mocker.patch("asyncio.sleep", return_value=None)
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setter = BeliefSetter()
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setter = BeliefSetterBehaviour()
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setter.agent = mock_agent
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# Mock the receive method, we will control its return value in each test
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setter.receive = AsyncMock()
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@@ -69,7 +67,7 @@ async def test_run_message_received(belief_setter, mocker):
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Test that when a message is received, _process_message is called.
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"""
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# Arrange
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msg = MagicMock();
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msg = MagicMock()
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belief_setter.receive.return_value = msg
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mocker.patch.object(belief_setter, "_process_message")
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@@ -115,14 +113,9 @@ def test_process_belief_message_valid_json(belief_setter, mocker):
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Test processing a valid belief message with correct thread and JSON body.
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"""
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# Arrange
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beliefs_payload = {
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"is_hot": [["kitchen"]],
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"is_clean": [["kitchen"], ["bathroom"]]
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}
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beliefs_payload = {"is_hot": ["kitchen"], "is_clean": ["kitchen", "bathroom"]}
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msg = create_mock_message(
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sender_node=COLLECTOR_AGENT_JID,
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body=json.dumps(beliefs_payload),
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thread="beliefs"
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sender_node=COLLECTOR_AGENT_JID, body=json.dumps(beliefs_payload), thread="beliefs"
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)
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mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
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@@ -139,9 +132,7 @@ def test_process_belief_message_invalid_json(belief_setter, mocker, caplog):
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"""
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# Arrange
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msg = create_mock_message(
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sender_node=COLLECTOR_AGENT_JID,
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body="this is not a json string",
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thread="beliefs"
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sender_node=COLLECTOR_AGENT_JID, body="this is not a json string", thread="beliefs"
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)
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mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
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@@ -160,9 +151,7 @@ def test_process_belief_message_wrong_thread(belief_setter, mocker):
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"""
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# Arrange
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msg = create_mock_message(
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sender_node=COLLECTOR_AGENT_JID,
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body='{"some": "data"}',
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thread="not_beliefs"
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sender_node=COLLECTOR_AGENT_JID, body='{"some": "data"}', thread="not_beliefs"
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)
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mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
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@@ -172,16 +161,13 @@ def test_process_belief_message_wrong_thread(belief_setter, mocker):
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# Assert
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mock_set_beliefs.assert_not_called()
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def test_process_belief_message_empty_body(belief_setter, mocker):
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"""
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Test that a message with an empty body is ignored.
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"""
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# Arrange
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msg = create_mock_message(
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sender_node=COLLECTOR_AGENT_JID,
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body="",
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thread="beliefs"
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)
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msg = create_mock_message(sender_node=COLLECTOR_AGENT_JID, body="", thread="beliefs")
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mock_set_beliefs = mocker.patch.object(belief_setter, "_set_beliefs")
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# Act
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@@ -197,10 +183,10 @@ def test_set_beliefs_success(belief_setter, mock_agent, caplog):
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"""
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# Arrange
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beliefs_to_set = {
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"is_hot": [["kitchen"], ["living_room"]],
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"door_is": [["front_door", "closed"]]
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"is_hot": ["kitchen"],
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"door_opened": ["front_door", "back_door"],
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}
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# Act
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with caplog.at_level(logging.INFO):
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belief_setter._set_beliefs(beliefs_to_set)
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@@ -208,17 +194,25 @@ def test_set_beliefs_success(belief_setter, mock_agent, caplog):
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# Assert
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expected_calls = [
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call("is_hot", "kitchen"),
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call("is_hot", "living_room"),
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call("door_is", "front_door", "closed")
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call("door_opened", "front_door", "back_door"),
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]
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mock_agent.bdi.set_belief.assert_has_calls(expected_calls, any_order=True)
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assert mock_agent.bdi.set_belief.call_count == 3
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assert mock_agent.bdi.set_belief.call_count == 2
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# Check logs
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assert "Set belief is_hot with arguments ['kitchen']" in caplog.text
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assert "Set belief is_hot with arguments ['living_room']" in caplog.text
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assert "Set belief door_is with arguments ['front_door', 'closed']" in caplog.text
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assert "Set belief door_opened with arguments ['front_door', 'back_door']" in caplog.text
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def test_responded_unset(belief_setter, mock_agent):
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# Arrange
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new_beliefs = {"user_said": ["message"]}
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# Act
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belief_setter._set_beliefs(new_beliefs)
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# Assert
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mock_agent.bdi.set_belief.assert_has_calls([call("user_said", "message")])
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mock_agent.bdi.remove_belief.assert_has_calls([call("responded")])
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def test_set_beliefs_bdi_not_initialized(belief_setter, mock_agent, caplog):
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"""
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@@ -226,7 +220,7 @@ def test_set_beliefs_bdi_not_initialized(belief_setter, mock_agent, caplog):
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"""
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# Arrange
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mock_agent.bdi = None # Simulate BDI not being ready
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beliefs_to_set = {"is_hot": [["kitchen"]]}
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beliefs_to_set = {"is_hot": ["kitchen"]}
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# Act
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with caplog.at_level(logging.WARNING):
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46
test/unit/agents/test_vad_socket_poller.py
Normal file
46
test/unit/agents/test_vad_socket_poller.py
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@@ -0,0 +1,46 @@
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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import zmq
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from control_backend.agents.vad_agent import SocketPoller
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@pytest.fixture
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def socket():
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return AsyncMock()
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@pytest.mark.asyncio
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async def test_socket_poller_with_data(socket, mocker):
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socket_data = b"test"
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socket.recv.return_value = socket_data
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mock_poller: MagicMock = mocker.patch("control_backend.agents.vad_agent.zmq.Poller")
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mock_poller.return_value.poll.return_value = [(socket, zmq.POLLIN)]
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poller = SocketPoller(socket)
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# Calling `poll` twice to be able to check that the poller is reused
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await poller.poll()
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data = await poller.poll()
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assert data == socket_data
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# Ensure that the poller was reused
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mock_poller.assert_called_once_with()
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mock_poller.return_value.register.assert_called_once_with(socket, zmq.POLLIN)
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assert socket.recv.call_count == 2
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@pytest.mark.asyncio
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async def test_socket_poller_no_data(socket, mocker):
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mock_poller: MagicMock = mocker.patch("control_backend.agents.vad_agent.zmq.Poller")
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mock_poller.return_value.poll.return_value = []
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poller = SocketPoller(socket)
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data = await poller.poll()
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assert data is None
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socket.recv.assert_not_called()
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95
test/unit/agents/test_vad_streaming.py
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95
test/unit/agents/test_vad_streaming.py
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@@ -0,0 +1,95 @@
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from unittest.mock import AsyncMock, MagicMock
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import numpy as np
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import pytest
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from control_backend.agents.vad_agent import Streaming
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@pytest.fixture
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def audio_in_socket():
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return AsyncMock()
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@pytest.fixture
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def audio_out_socket():
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return AsyncMock()
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@pytest.fixture
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def streaming(audio_in_socket, audio_out_socket):
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import torch
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torch.hub.load.return_value = (..., ...) # Mock
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return Streaming(audio_in_socket, audio_out_socket)
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async def simulate_streaming_with_probabilities(streaming, probabilities: list[float]):
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"""
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Simulates a streaming scenario with given VAD model probabilities for testing purposes.
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:param streaming: The streaming component to be tested.
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:param probabilities: A list of probabilities representing the outputs of the VAD model.
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"""
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model_item = MagicMock()
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model_item.item.side_effect = probabilities
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streaming.model = MagicMock()
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streaming.model.return_value = model_item
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audio_in_poller = AsyncMock()
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audio_in_poller.poll.return_value = np.empty(shape=512, dtype=np.float32)
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streaming.audio_in_poller = audio_in_poller
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for _ in probabilities:
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await streaming.run()
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@pytest.mark.asyncio
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async def test_voice_activity_detected(audio_in_socket, audio_out_socket, streaming):
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"""
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Test a scenario where there is voice activity detected between silences.
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:return:
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"""
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speech_chunk_count = 5
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probabilities = [0.0] * 5 + [1.0] * speech_chunk_count + [0.0] * 5
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await simulate_streaming_with_probabilities(streaming, probabilities)
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audio_out_socket.send.assert_called_once()
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data = audio_out_socket.send.call_args[0][0]
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assert isinstance(data, bytes)
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# each sample has 512 frames of 4 bytes, expecting 7 chunks (5 with speech, 2 as padding)
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assert len(data) == 512 * 4 * (speech_chunk_count + 2)
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@pytest.mark.asyncio
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async def test_voice_activity_short_pause(audio_in_socket, audio_out_socket, streaming):
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"""
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Test a scenario where there is a short pause between speech, checking whether it ignores the
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short pause.
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"""
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speech_chunk_count = 5
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probabilities = (
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[0.0] * 5 + [1.0] * speech_chunk_count + [0.0] + [1.0] * speech_chunk_count + [0.0] * 5
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)
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await simulate_streaming_with_probabilities(streaming, probabilities)
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audio_out_socket.send.assert_called_once()
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data = audio_out_socket.send.call_args[0][0]
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assert isinstance(data, bytes)
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# Expecting 13 chunks (2*5 with speech, 1 pause between, 2 as padding)
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assert len(data) == 512 * 4 * (speech_chunk_count * 2 + 1 + 2)
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@pytest.mark.asyncio
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async def test_no_data(audio_in_socket, audio_out_socket, streaming):
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"""
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Test a scenario where there is no data received. This should not cause errors.
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"""
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audio_in_poller = AsyncMock()
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audio_in_poller.poll.return_value = None
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streaming.audio_in_poller = audio_in_poller
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await streaming.run()
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audio_out_socket.send.assert_not_called()
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assert len(streaming.audio_buffer) == 0
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45
test/unit/conftest.py
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45
test/unit/conftest.py
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@@ -0,0 +1,45 @@
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import sys
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from unittest.mock import MagicMock
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def pytest_configure(config):
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"""
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This hook runs at the start of the pytest session, before any tests are
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collected. It mocks heavy or unavailable modules to prevent ImportErrors.
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"""
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# --- Mock spade and spade-bdi ---
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mock_spade = MagicMock()
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mock_spade.agent = MagicMock()
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mock_spade.behaviour = MagicMock()
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mock_spade_bdi = MagicMock()
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mock_spade_bdi.bdi = MagicMock()
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mock_spade.agent.Message = MagicMock()
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mock_spade.behaviour.CyclicBehaviour = type("CyclicBehaviour", (object,), {})
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mock_spade_bdi.bdi.BDIAgent = type("BDIAgent", (object,), {})
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sys.modules["spade"] = mock_spade
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sys.modules["spade.agent"] = mock_spade.agent
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sys.modules["spade.behaviour"] = mock_spade.behaviour
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sys.modules["spade_bdi"] = mock_spade_bdi
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sys.modules["spade_bdi.bdi"] = mock_spade_bdi.bdi
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# --- Mock the config module to prevent Pydantic ImportError ---
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mock_config_module = MagicMock()
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# The code under test does `from ... import settings`, so our mock module
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# must have a `settings` attribute. We'll make it a MagicMock so we can
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# configure it later in our tests using mocker.patch.
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mock_config_module.settings = MagicMock()
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sys.modules["control_backend.core.config"] = mock_config_module
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# --- Mock torch and zmq for VAD ---
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mock_torch = MagicMock()
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mock_zmq = MagicMock()
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mock_zmq.asyncio = mock_zmq
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# In individual tests, these can be imported and the return values changed
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sys.modules["torch"] = mock_torch
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sys.modules["zmq"] = mock_zmq
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sys.modules["zmq.asyncio"] = mock_zmq.asyncio
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