3 Commits

Author SHA1 Message Date
Storm
912af8d821 feat: implemented force speech functionality in RI and refactored actuation_receiver tests
Before actuation_receiver tests started a receiver with real zmq context. This led to flaky tests because of port congestion issues.

ref: N25B-386
2025-12-12 14:38:06 +01:00
Luijkx,S.O.H. (Storm)
017dbfaa28 Merge branch 'docs/extract-installation-instructions' into 'dev'
Improve installation instructions

See merge request ics/sp/2025/n25b/pepperplus-ri!20
2025-12-11 10:58:56 +00:00
Twirre
9ff1d9a4d3 Improve installation instructions 2025-12-11 10:58:56 +00:00
8 changed files with 540 additions and 129 deletions

2
.gitignore vendored
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@@ -220,3 +220,5 @@ __marimo__/
# Docs
docs/*
!docs/conf.py
!docs/installation/
!docs/installation/**

106
README.md
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@@ -8,90 +8,21 @@ This is an implementation for the Pepper robot, using the Pepper SDK and Python
## Installation
### Linux (or WSL)
- [Linux](./docs/installation/linux.md)
- [macOS](./docs/installation/macos.md)
- [Windows](./docs/installation/windows.md)
Start off by installing [Pyenv](https://github.com/pyenv/pyenv?tab=readme-ov-file#installation) and walk through the steps outlined there (be sure to also add it to PATH). Also install the [Python build requirements](https://github.com/pyenv/pyenv/wiki#suggested-build-environment). Afterwards, install Python 2.7 and activate it for your current shell:
### Git Hooks
To activate automatic linting, formatting, branch name checks and commit message checks, run (after installing requirements):
```bash
pyenv install 2.7
pyenv shell 2.7
pre-commit install
pre-commit install --hook-type commit-msg
```
You can check that this worked by typing
```bash
python -V
```
Which should return `Python 2.7.18`.
Next, `cd` into this repository and create (and activate) a virtual environment:
```bash
cd <path to project>/
python -m pip install virtualenv
python -m virtualenv .venv
source .venv/bin/activate
```
We depend on PortAudio for the `pyaudio` package, so install it with:
```bash
sudo apt install -y portaudio19-dev
```
On WSL, also install:
```bash
sudo apt install -y libasound2-plugins
```
Install the required packages with
```bash
pip install -r requirements.txt
```
Now we need to install the NaoQi SDK into our virtual environment, which we need to do manually. Begin by downloading the SDK:
```bash
wget https://community-static.aldebaran.com/resources/2.5.10/Python%20SDK/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
```
Next, move into the `site-packages` directory and extract the file you just downloaded:
```bash
cd .venv/lib/python2.7/site-packages/
tar xvfz <path to SDK>/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
rm <path to SDK>/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
```
Lastly, we need to inform our virtual environment where to find our newly installed package:
```bash
echo <path to project>/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.5.7.1-linux64/lib/python2.7/site-packages/ > pynaoqi-python2.7.pth
```
That's it! Verify that it works with
```bash
python -c "import qi; print(qi)"
```
You should now be able to run this project.
### macOS
Similar to Linux, but don't bother installing `pyenv` as it won't be able to install Python 2 on Apple Silicon. Instead, install Python 2.7.18 from the [Python website](https://www.python.org/downloads/release/python-2718/).
Create the virtual environment as described above in the Linux section. Stop at the point where it shows you how to download the NaoQi SDK. Instead, use:
```shell
curl -OL https://community-static.aldebaran.com/resources/2.5.10/Python%20SDK/pynaoqi-python2.7-2.5.7.1-mac64.tar.gz
```
Then resume the steps from above.
## Usage
@@ -134,23 +65,6 @@ For coverage, add `--cov=robot_interface` as an argument to `pytest`.
## Git Hooks
To activate automatic linting, formatting, branch name checks and commit message checks, run (after installing requirements):
```bash
pre-commit install
pre-commit install --hook-type commit-msg
```
You might get an error along the lines of `Can't install pre-commit with core.hooksPath` set. To fix this, simply unset the hooksPath by running:
```bash
git config --local --unset core.hooksPath
```
Then run the pre-commit install commands again.
## Documentation
Generate documentation web pages using:

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@@ -0,0 +1,75 @@
# Installation
Of the Pepper Robot Interface on Linux (or WSL).
Start off by installing [Pyenv](https://github.com/pyenv/pyenv?tab=readme-ov-file#installation) and walk through the steps outlined there (be sure to also add it to PATH). Also install the [Python build requirements](https://github.com/pyenv/pyenv/wiki#suggested-build-environment). Afterwards, install Python 2.7 and activate it for your current shell:
```bash
pyenv install 2.7
pyenv shell 2.7
```
You can check that this worked by typing
```bash
python -V
```
Which should return `Python 2.7.18`.
Next, `cd` into this repository and create (and activate) a virtual environment:
```bash
cd <path to project>/
python -m pip install virtualenv
python -m virtualenv .venv
source .venv/bin/activate
```
We depend on PortAudio for the `pyaudio` package, so install it with:
```bash
sudo apt install -y portaudio19-dev
```
On WSL, also install:
```bash
sudo apt install -y libasound2-plugins
```
Install the required packages with
```bash
pip install -r requirements.txt
```
Now we need to install the NaoQi SDK into our virtual environment, which we need to do manually. Begin by downloading the SDK:
```bash
wget https://community-static.aldebaran.com/resources/2.5.10/Python%20SDK/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
```
Next, move into the `site-packages` directory and extract the file you just downloaded:
```bash
cd .venv/lib/python2.7/site-packages/
tar xvfz <path to SDK>/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
rm <path to SDK>/pynaoqi-python2.7-2.5.7.1-linux64.tar.gz
```
Lastly, we need to inform our virtual environment where to find our newly installed package:
```bash
echo <path to project>/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.5.7.1-linux64/lib/python2.7/site-packages/ > pynaoqi-python2.7.pth
```
That's it! Verify that it works with
```bash
python -c "import qi; print(qi)"
```
You should now be able to run this project.
See the README for how to run.

106
docs/installation/macos.md Normal file
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@@ -0,0 +1,106 @@
# Installation
Of the Pepper Robot Interface on macOS.
## Python 2.7
Install Python 2.7.18 from the [Python website](https://www.python.org/downloads/release/python-2718/).
Check that it worked by executing
```shell
python2 -V
```
Which should return Python 2.7.18.
## Virtual Environment
Next, cd into this repository and create (and activate) a virtual environment:
```shell
cd /path/to/project/
python2 -m pip install virtualenv
python2 -m virtualenv .venv
source .venv/bin/activate
```
We depend on PortAudio for the `pyaudio` package. If on Intel, run `brew install portaudio`. If on Apple Silicon, compile manually using the steps described in [the YouTrack article](https://utrechtuniversity.youtrack.cloud/articles/N25B-A-22/Install-PyAudio-for-Python-2-on-Apple-Silicon).
Then install the required Python packages with
```shell
pip install -r requirements.txt
```
## NaoQi SDK
We need to manually install the NaoQi SDK into our virtual environment. There are two options:
1. Install a newer version (2.8) which will make running easier, but compatibility is uncertain.
2. Install the version expected by the robot (2.5). This will complicate running slightly.
### Option 1
Download the SDK from [twirre.io](https://twirre.io/files/pynaoqi-python2.7-2.8.6.23-mac64-20191127_144231.tar.gz), or find one on the Aldebaran website, or an archived version on Web Archive.
Extract it to `/path/to/project/.venv/lib/python2.7/site-packages/`.
We need to inform our virtual environment where to find our newly installed package:
```bash
echo "/path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.8.6.23-mac64-20191127_144231/lib/python2.7/site-packages/" > /path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7.pth
```
Now continue with [verifying](#verifying).
### Option 2
This method of installation requires setting the `DYLD_LIBRARY_PATH` environment variable before running. How will be explained.
Download the SDK from [twirre.io](https://twirre.io/files/pynaoqi-2.5.7.1-mac64-deps.tar.gz). This is a modified version of the one from Aldebaran, this one including required Choregraphe dependencies.
Extract it to `/path/to/project/.venv/lib/python2.7/site-packages/`.
We need to inform our virtual environment where to find our newly installed package:
```shell
echo "/path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.5.7.1-mac64/lib/python2.7/site-packages/" > /path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7.pth
```
Now, anytime before running you need to set the `DYLD_LIBRARY_PATH` environment variable.
```shell
export DYLD_LIBRARY_PATH="/path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.5.7.1-mac64/choregraphe_lib:${DYLD_LIBRARY_PATH}"
```
You may want to simplify environment activation with a script `activate.sh` like:
```shell
#!/bin/zsh
export DYLD_LIBRARY_PATH="/path/to/project/.venv/lib/python2.7/site-packages/pynaoqi-python2.7-2.8.6.23-mac64-20191127_144231/choregraphe_lib:${DYLD_LIBRARY_PATH}"
source .venv/bin/activate
```
[Verify](#verifying) if it works.
## Verifying
Verify that the NaoQI SDK installation works with
```bash
python -c "import qi; print(qi)"
```
If so, you should now be able to run this project.
See the README for how to run.

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@@ -0,0 +1,44 @@
# Installation
Of the Pepper Robot Interface on Windows.
Install Python 2.7.18 from [the Python website](https://www.python.org/downloads/release/python-2718/), choose the x86-64 installer (at the bottom of the page).
To see if it worked:
```shell
py -2 -V
```
Which should return `Python 2.7.18`.
Next, `cd` into this repository and create (and activate) a virtual environment:
```bash
cd <path to project>/
py -2 -m pip install virtualenv
py -2 -m virtualenv .venv
.\.venv\Scripts\activate
```
Install the required packages with
```bash
pip install -r requirements.txt
```
Now we need to install the NaoQi SDK into our virtual environment, which we need to do manually. Download the SDK from [Aldebaran](https://community-static.aldebaran.com/resources/2.5.5/sdk-python/pynaoqi-python2.7-2.5.5.5-win32-vs2013.zip), [Web Archive](https://web.archive.org/web/20240120111043/https://community-static.aldebaran.com/resources/2.5.5/sdk-python/pynaoqi-python2.7-2.5.5.5-win32-vs2013.zip) or [twirre.io](https://twirre.io/files/pynaoqi-python2.7-2.8.6.23-win64-vs2015-20191127_152649.zip).
Extract to `.\.venv\Lib\site-packages`.
Create a file `.venv\Lib\site-packages\pynaoqi-python2.7.pth`, put the full path of `pynaoqi-python2.7-2.8.6.23-win64-vs2015-20191127_152649\lib\python2.7\Lib\site-packages` in there.
Test if it worked by running:
```bash
python -c "import qi; print(qi)"
```
You should now be able to run this project.
See the README for how to run.

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@@ -1,6 +1,9 @@
from __future__ import unicode_literals # So that we can log texts with Unicode characters
import logging
import time
from threading import Thread
import Queue
import zmq
from robot_interface.endpoints.receiver_base import ReceiverBase
@@ -27,6 +30,9 @@ class ActuationReceiver(ReceiverBase):
self.create_socket(zmq_context, zmq.SUB, port)
self.socket.setsockopt_string(zmq.SUBSCRIBE, u"") # Causes block if given in options
self._tts_service = None
self._message_queue = Queue.Queue()
self.message_thread = Thread(target=self._handle_messages)
self.message_thread.start()
def _handle_speech(self, message):
"""
@@ -53,8 +59,25 @@ class ActuationReceiver(ReceiverBase):
if not self._tts_service:
self._tts_service = state.qi_session.service("ALTextToSpeech")
# Returns instantly. Messages received while speaking will be queued.
qi.async(self._tts_service.say, text)
if (message.get("is_priority")):
# Bypass queue and speak immediately
self.clear_queue()
self._message_queue.put(text)
logging.debug("Force speaking immediately: {}".format(text))
else:
self._message_queue.put(text)
def clear_queue(self):
"""
Safely drains all pending messages from the queue.
"""
try:
while True:
# Remove items one by one without waiting
self._message_queue.get_nowait()
except Queue.Empty:
pass
logging.info("Message queue cleared.")
def handle_message(self, message):
"""
@@ -65,3 +88,18 @@ class ActuationReceiver(ReceiverBase):
"""
if message["endpoint"] == "actuate/speech":
self._handle_speech(message)
def _handle_messages(self):
while not state.exit_event.is_set():
try:
text = self._message_queue.get(timeout=0.1)
if not state.is_speaking: print("Started speaking.")
state.is_speaking = True
self._tts_service.say(text)
except Queue.Empty:
if state.is_speaking: print("Finished speaking.")
state.is_speaking = False
except RuntimeError:
logging.warn("Lost connection to Pepper. Please check if you're connected to the local WiFi and restart this application.")
state.exit_event.set()

View File

@@ -30,6 +30,7 @@ class State(object):
self.exit_event = None
self.sockets = []
self.qi_session = None
self.is_speaking = False
def initialize(self):
"""

View File

@@ -3,7 +3,7 @@ import sys
import mock
import pytest
import zmq
import Queue
from robot_interface.endpoints.actuation_receiver import ActuationReceiver
@@ -18,47 +18,107 @@ def zmq_context():
context = zmq.Context()
yield context
def test_force_speech_clears_queue(mocker):
"""
Tests that a force speech message clears the existing queue
and places the high-priority message at the front.
"""
mocker.patch("threading.Thread")
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
mock_qi = mock.Mock()
sys.modules["qi"] = mock_qi
def test_handle_unimplemented_endpoint(zmq_context):
mock_tts_service = mock.Mock()
mock_state.qi_session.service.return_value = mock_tts_service
# Use Mock Context
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver._message_queue.put("old_message_1")
receiver._message_queue.put("old_message_2")
assert receiver._message_queue.qsize() == 2
force_msg = {
"endpoint": "actuate/speech",
"data": "Emergency Notification",
"is_priority": True,
}
receiver.handle_message(force_msg)
assert receiver._message_queue.qsize() == 1
queued_item = receiver._message_queue.get()
assert queued_item == "Emergency Notification"
def test_handle_unimplemented_endpoint(mocker):
"""
Tests that the ``ActuationReceiver.handle_message`` method can
handle an unknown or unimplemented endpoint without raising an error.
Tests handling of unknown endpoints.
"""
receiver = ActuationReceiver(zmq_context)
# Should not error
mocker.patch("threading.Thread")
# Use Mock Context
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver.handle_message({
"endpoint": "some_endpoint_that_definitely_does_not_exist",
"data": None,
})
def test_speech_message_no_data(zmq_context, mocker):
def test_speech_message_no_data(mocker):
"""
Tests that the message handler logs a warning when a speech actuation
request (`actuate/speech`) is received but contains empty string data.
Tests that if the message data is empty, the receiver returns immediately
WITHOUT attempting to access the global robot state or session.
"""
mock_warn = mocker.patch("logging.warn")
# 1. Prevent background threads from running
mocker.patch("threading.Thread")
# 2. Mock the global state object
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
receiver = ActuationReceiver(zmq_context)
# 3. Create a PropertyMock to track whenever 'qi_session' is accessed
# We attach it to the class type of the mock so it acts like a real property
mock_session_prop = mock.PropertyMock(return_value=None)
type(mock_state).qi_session = mock_session_prop
# 4. Initialize Receiver (Mocking the context to avoid ZMQ errors)
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
# 5. Send empty data
receiver.handle_message({"endpoint": "actuate/speech", "data": ""})
mock_warn.assert_called_with(mock.ANY)
# 6. Assertion:
# Because the code does `if not text: return` BEFORE `if not state.qi_session`,
# the state property should NEVER be read.
mock_session_prop.assert_not_called()
def test_speech_message_invalid_data(zmq_context, mocker):
def test_speech_message_invalid_data(mocker):
"""
Tests that the message handler logs a warning when a speech actuation
request (`actuate/speech`) is received with data that is not a string (e.g., a boolean).
Tests that if the message data is not a string, the function returns.
:param mocker: Description
"""
mock_warn = mocker.patch("logging.warn")
mocker.patch("threading.Thread")
receiver = ActuationReceiver(zmq_context)
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
mock_session_prop = mock.PropertyMock(return_value=None)
type(mock_state).qi_session = mock_session_prop
# Use Mock Context
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver.handle_message({"endpoint": "actuate/speech", "data": True})
mock_warn.assert_called_with(mock.ANY)
# Because the code does `if not text: return` BEFORE `if not state.qi_session`,
# the state property should NEVER be read.
mock_session_prop.assert_not_called()
def test_speech_no_qi(zmq_context, mocker):
def test_speech_no_qi(mocker):
"""
Tests the actuation receiver's behavior when processing a speech request
but the global state does not have an active QI session.
@@ -68,16 +128,21 @@ def test_speech_no_qi(zmq_context, mocker):
mock_qi_session = mock.PropertyMock(return_value=None)
type(mock_state).qi_session = mock_qi_session
receiver = ActuationReceiver(zmq_context)
mock_tts_service = mock.Mock()
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver._tts_service = mock_tts_service
receiver._handle_speech({"endpoint": "actuate/speech", "data": "Some message to speak."})
mock_qi_session.assert_called()
receiver._tts_service.assert_not_called()
def test_speech(zmq_context, mocker):
def test_speech(mocker):
"""
Tests the core speech actuation functionality by mocking the QI TextToSpeech
service and verifying that it is called correctly.
service and verifying that the received message is put into the queue.
"""
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
@@ -88,13 +153,179 @@ def test_speech(zmq_context, mocker):
mock_state.qi_session = mock.Mock()
mock_state.qi_session.service.return_value = mock_tts_service
receiver = ActuationReceiver(zmq_context)
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver._tts_service = None
receiver._handle_speech({"endpoint": "actuate/speech", "data": "Some message to speak."})
mock_state.qi_session.service.assert_called_once_with("ALTextToSpeech")
assert receiver._message_queue.qsize() == 1
mock_qi.async.assert_called_once()
call_args = mock_qi.async.call_args[0]
assert call_args[0] == mock_tts_service.say
assert call_args[1] == "Some message to speak."
queued_item = receiver._message_queue.get()
assert queued_item == "Some message to speak."
def test_speech_priority(mocker):
"""
Tests that a priority speech message is handled correctly by clearing the queue
and placing the priority message at the front.
"""
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
mock_qi = mock.Mock()
sys.modules["qi"] = mock_qi
mock_tts_service = mock.Mock()
mock_state.qi_session = mock.Mock()
mock_state.qi_session.service.return_value = mock_tts_service
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
receiver._message_queue.put("old_message_1")
receiver._message_queue.put("old_message_2")
assert receiver._message_queue.qsize() == 2
priority_msg = {
"endpoint": "actuate/speech",
"data": "Urgent Message",
"is_priority": True,
}
receiver._handle_speech(priority_msg)
assert receiver._message_queue.qsize() == 1
queued_item = receiver._message_queue.get()
assert queued_item == "Urgent Message"
def test_handle_messages_loop(mocker):
"""
Tests the background consumer loop (_handle_messages) processing an item.
Runs SYNCHRONOUSLY to ensure coverage tools pick up the lines.
"""
# Patch Thread so the real background thread NEVER starts automatically
mocker.patch("threading.Thread")
# Mock state
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
# Setup initial speaking state to False (covers "Started speaking" print)
mock_state.is_speaking = False
# Mock the TextToSpeech service
mock_tts_service = mock.Mock()
mock_state.qi_session.service.return_value = mock_tts_service
# Initialize receiver (Thread is patched, so no thread starts)
# Use Mock Context to avoid ZMQ errors
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
# Manually inject service (since lazy loading might handle it, but this is safer)
receiver._tts_service = mock_tts_service
# This ensures the while loop iterates exactly once
mock_state.exit_event.is_set.side_effect = [False, True]
# Put an item in the queue
receiver._message_queue.put("Hello World")
# RUN MANUALLY in the main thread
# This executes the code: while -> try -> get -> if print -> speaking=True -> say
receiver._handle_messages()
# Assertions
assert receiver._message_queue.empty()
mock_tts_service.say.assert_called_with("Hello World")
assert mock_state.is_speaking is True
def test_handle_messages_queue_empty(mocker):
"""
Tests the Queue.Empty exception handler in the consumer loop.
This covers the logic that resets 'state.is_speaking' to False.
"""
# Prevent the real background thread from starting
mocker.patch("threading.Thread")
# Mock the state object
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
# Setup 'is_speaking' property mock
# We set return_value=True so the code enters the 'if state.is_speaking:' block.
# We use PropertyMock to track when this attribute is set.
type(mock_state).is_speaking = True
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
# This ensures the while loop body runs exactly once for our test
mock_state.exit_event.is_set.side_effect = [False, True]
# Force get() to raise Queue.Empty immediately (simulate timeout)
# We patch the 'get' method on the specific queue instance of our receiver
#mocker.patch.object(receiver._message_queue, 'get', side_effect=Queue.Empty)
# Run the loop logic manually (synchronously)
receiver._handle_messages()
# Final Assertion: Verify is_speaking was set to False
# The code execution order is: read (returns True) -> print -> set (to False)
# assert_called_with checks the arguments of the LAST call, which is the setter.
assert mock_state.is_speaking is False
def test_handle_messages_runtime_error(mocker):
"""
Tests the RuntimeError exception handler (e.g. lost WiFi connection).
Uses a Mock ZMQ context to avoid 'Address already in use' errors.
"""
# Patch Thread so we don't accidentally spawn real threads
mocker.patch("threading.Thread")
# Mock the state and logging
mock_state = mocker.patch("robot_interface.endpoints.actuation_receiver.state")
# Use a MOCK ZMQ context.
# This prevents the receiver from trying to bind to a real TCP port.
mock_zmq_ctx = mock.Mock()
# Initialize receiver with the mock context
receiver = ActuationReceiver(mock_zmq_ctx)
mock_state.exit_event.is_set.side_effect = [False, True]
receiver._message_queue.put("Test Message")
# Setup: ...BUT the service raises RuntimeError when asked to speak
mock_tts = mock.Mock()
mock_tts.say.side_effect = RuntimeError("Connection lost")
receiver._tts_service = mock_tts
# Run the loop logic manually
receiver._handle_messages()
# Assertions
assert mock_state.exit_event.is_set.called
def test_clear_queue(mocker):
"""
Tests that the clear_queue method properly drains all items from the message queue.
"""
mocker.patch("threading.Thread")
# Use Mock Context
mock_zmq_ctx = mock.Mock()
receiver = ActuationReceiver(mock_zmq_ctx)
# Populate the queue with multiple items
receiver._message_queue.put("msg1")
receiver._message_queue.put("msg2")
receiver._message_queue.put("msg3")
assert receiver._message_queue.qsize() == 3
# Clear the queue
receiver.clear_queue()
# Assert the queue is empty
assert receiver._message_queue.qsize() == 0