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Merge branch 'dev' into refactor/logging

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Kasper
2025-11-04 20:54:03 +01:00
parent a98018ddda da30c392aa
commit 270df83fab
22 changed files with 359 additions and 136 deletions
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77
.githooks/check-branch-name.sh Executable file
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@@ -0,0 +1,77 @@
#!/usr/bin/env bash
# This script checks if the current branch name follows the specified format.
# It's designed to be used as a 'pre-commit' git hook.
# Format: <type>/<short-description>
# Example: feat/add-user-login
# --- Configuration ---
# An array of allowed commit types
ALLOWED_TYPES=(feat fix refactor perf style test docs build chore revert)
# An array of branches to ignore
IGNORED_BRANCHES=(main dev)
# --- Colors for Output ---
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# --- Helper Functions ---
error_exit() {
echo -e "${RED}ERROR: $1${NC}" >&2
echo -e "${YELLOW}Branch name format is incorrect. Aborting commit.${NC}" >&2
exit 1
}
# --- Main Logic ---
# 1. Get the current branch name
BRANCH_NAME=$(git symbolic-ref --short HEAD)
# 2. Check if the current branch is in the ignored list
for ignored_branch in "${IGNORED_BRANCHES[@]}"; do
if [ "$BRANCH_NAME" == "$ignored_branch" ]; then
echo -e "${GREEN}Branch check skipped for default branch: $BRANCH_NAME${NC}"
exit 0
fi
done
# 3. Validate the overall structure: <type>/<description>
if ! [[ "$BRANCH_NAME" =~ ^[a-z]+/.+$ ]]; then
error_exit "Branch name must be in the format: <type>/<short-description>\nExample: feat/add-user-login"
fi
# 4. Extract the type and description
TYPE=$(echo "$BRANCH_NAME" | cut -d'/' -f1)
DESCRIPTION=$(echo "$BRANCH_NAME" | cut -d'/' -f2-)
# 5. Validate the <type>
type_valid=false
for allowed_type in "${ALLOWED_TYPES[@]}"; do
if [ "$TYPE" == "$allowed_type" ]; then
type_valid=true
break
fi
done
if [ "$type_valid" == false ]; then
error_exit "Invalid type '$TYPE'.\nAllowed types are: ${ALLOWED_TYPES[*]}"
fi
# 6. Validate the <short-description>
# Regex breakdown:
# ^[a-z0-9]+ - Starts with one or more lowercase letters/numbers (the first word).
# (-[a-z0-9]+){0,5} - Followed by a group of (dash + word) 0 to 5 times.
# $ - End of the string.
# This entire pattern enforces 1 to 6 words total, separated by dashes.
DESCRIPTION_REGEX="^[a-z0-9]+(-[a-z0-9]+){0,5}$"
if ! [[ "$DESCRIPTION" =~ $DESCRIPTION_REGEX ]]; then
error_exit "Invalid short description '$DESCRIPTION'.\nIt must be a maximum of 6 words, all lowercase, separated by dashes.\nExample: add-new-user-authentication-feature"
fi
# If all checks pass, exit successfully
echo -e "${GREEN}Branch name '$BRANCH_NAME' is valid.${NC}"
exit 0

135
.githooks/check-commit-msg.sh Executable file
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@@ -0,0 +1,135 @@
#!/usr/bin/env bash
# This script checks if a commit message follows the specified format.
# It's designed to be used as a 'commit-msg' git hook.
# Format:
# <type>: <short description>
#
# [optional]<body>
#
# [ref/close]: <issue identifier>
# --- Configuration ---
# An array of allowed commit types
ALLOWED_TYPES=(feat fix refactor perf style test docs build chore revert)
# --- Colors for Output ---
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# The first argument to the hook is the path to the file containing the commit message
COMMIT_MSG_FILE=$1
# --- Automated Commit Detection ---
# Read the first line (header) for initial checks
HEADER=$(head -n 1 "$COMMIT_MSG_FILE")
# Check for Merge commits (covers 'git merge' and PR merges from GitHub/GitLab)
# Examples: "Merge branch 'main' into ...", "Merge pull request #123 from ..."
MERGE_PATTERN="^Merge (branch|pull request|tag) .*"
if [[ "$HEADER" =~ $MERGE_PATTERN ]]; then
echo -e "${GREEN}Merge commit detected by message content. Skipping validation.${NC}"
exit 0
fi
# Check for Revert commits
# Example: "Revert "feat: add new feature""
REVERT_PATTERN="^Revert \".*\""
if [[ "$HEADER" =~ $REVERT_PATTERN ]]; then
echo -e "${GREEN}Revert commit detected by message content. Skipping validation.${NC}"
exit 0
fi
# Check for Cherry-pick commits (this pattern appears at the end of the message)
# Example: "(cherry picked from commit deadbeef...)"
# We use grep -q to search the whole file quietly.
CHERRY_PICK_PATTERN="\(cherry picked from commit [a-f0-9]{7,40}\)"
if grep -qE "$CHERRY_PICK_PATTERN" "$COMMIT_MSG_FILE"; then
echo -e "${GREEN}Cherry-pick detected by message content. Skipping validation.${NC}"
exit 0
fi
# Check for Squash
# Example: "Squash commits ..."
SQUASH_PATTERN="^Squash .+"
if [[ "$HEADER" =~ $SQUASH_PATTERN ]]; then
echo -e "${GREEN}Squash commit detected by message content. Skipping validation.${NC}"
exit 0
fi
# --- Validation Functions ---
# Function to print an error message and exit
# Usage: error_exit "Your error message here"
error_exit() {
# >&2 redirects echo to stderr
echo -e "${RED}ERROR: $1${NC}" >&2
echo -e "${YELLOW}Commit message format is incorrect. Aborting commit.${NC}" >&2
exit 1
}
# --- Main Logic ---
# 1. Read the header (first line) of the commit message
HEADER=$(head -n 1 "$COMMIT_MSG_FILE")
# 2. Validate the header format: <type>: <description>
# Regex breakdown:
# ^(type1|type2|...) - Starts with one of the allowed types
# : - Followed by a literal colon
# \s - Followed by a single space
# .+ - Followed by one or more characters for the description
# $ - End of the line
TYPES_REGEX=$(
IFS="|"
echo "${ALLOWED_TYPES[*]}"
)
HEADER_REGEX="^($TYPES_REGEX): .+$"
if ! [[ "$HEADER" =~ $HEADER_REGEX ]]; then
error_exit "Invalid header format.\n\nHeader must be in the format: <type>: <short description>\nAllowed types: ${ALLOWED_TYPES[*]}\nExample: feat: add new user authentication feature"
fi
# Only validate footer if commit type is not chore
TYPE=$(echo "$HEADER" | cut -d':' -f1)
if [ "$TYPE" != "chore" ]; then
# 3. Validate the footer (last line) of the commit message
FOOTER=$(tail -n 1 "$COMMIT_MSG_FILE")
# Regex breakdown:
# ^(ref|close) - Starts with 'ref' or 'close'
# : - Followed by a literal colon
# \s - Followed by a single space
# N25B- - Followed by the literal string 'N25B-'
# [0-9]+ - Followed by one or more digits
# $ - End of the line
FOOTER_REGEX="^(ref|close): N25B-[0-9]+$"
if ! [[ "$FOOTER" =~ $FOOTER_REGEX ]]; then
error_exit "Invalid footer format.\n\nFooter must be in the format: [ref/close]: <issue identifier>\nExample: ref: N25B-123"
fi
fi
# 4. If the message has more than 2 lines, validate the separator
# A blank line must exist between the header and the body.
LINE_COUNT=$(wc -l <"$COMMIT_MSG_FILE" | xargs) # xargs trims whitespace
# We only care if there is a body. Header + Footer = 2 lines.
# Header + Blank Line + Body... + Footer > 2 lines.
if [ "$LINE_COUNT" -gt 2 ]; then
# Get the second line
SECOND_LINE=$(sed -n '2p' "$COMMIT_MSG_FILE")
# Check if the second line is NOT empty. If it's not, it's an error.
if [ -n "$SECOND_LINE" ]; then
error_exit "Missing blank line between header and body.\n\nThe second line of your commit message must be empty if a body is present."
fi
fi
# If all checks pass, exit with success
echo -e "${GREEN}Commit message is valid.${NC}"
exit 0

16
.githooks/commit-msg
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@@ -1,16 +0,0 @@
#!/bin/sh
commit_msg_file=$1
commit_msg=$(cat "$commit_msg_file")
if echo "$commit_msg" | grep -Eq "^(feat|fix|refactor|perf|style|test|docs|build|chore|revert): .+"; then
if echo "$commit_msg" | grep -Eq "^(ref|close):\sN25B-.+"; then
exit 0
else
echo "❌ Commit message invalid! Must end with [ref/close]: N25B-000"
exit 1
fi
else
echo "❌ Commit message invalid! Must start with <type>: <description>"
exit 1
fi

17
.githooks/pre-commit
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@@ -1,17 +0,0 @@
#!/bin/sh
# Get current branch
branch=$(git rev-parse --abbrev-ref HEAD)
if echo "$branch" | grep -Eq "(dev|main)"; then
echo 0
fi
# allowed pattern <type/>
if echo "$branch" | grep -Eq "^(feat|fix|refactor|perf|style|test|docs|build|chore|revert)\/\w+(-\w+){0,5}$"; then
exit 0
else
echo "❌ Invalid branch name: $branch"
echo "Branch must be named <type>/<description-of-branch> (must have one to six words separated by a dash)"
exit 1
fi

9
.githooks/prepare-commit-msg
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@@ -1,9 +0,0 @@
#!/bin/sh
echo "#<type>: <description>
#[optional body]
#[optional footer(s)]
#[ref/close]: <issue identifier>" > $1

32
.pre-commit-config.yaml
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@@ -1,10 +1,24 @@
repos: repos:
- repo: https://github.com/astral-sh/ruff-pre-commit - repo: https://github.com/astral-sh/ruff-pre-commit
# Ruff version. # Ruff version.
rev: v0.14.2 rev: v0.14.2
hooks: hooks:
# Run the linter. # Run the linter.
- id: ruff-check - id: ruff-check
args: [ --fix ] # Run the formatter.
# Run the formatter. - id: ruff-format
- id: ruff-format # Configure local hooks
- repo: local
hooks:
- id: check-commit-msg
name: Check commit message format
entry: .githooks/check-commit-msg.sh
language: script
stages: [commit-msg]
- id: check-branch-name
name: Check branch name format
entry: .githooks/check-branch-name.sh
language: script
stages: [pre-commit]
always_run: true
pass_filenames: false

22
README.md
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@@ -47,21 +47,19 @@ Or for integration tests:
uv run --group integration-test pytest test/integration uv run --group integration-test pytest test/integration
``` ```
## GitHooks ## Git Hooks
To activate automatic commits/branch name checks run: To activate automatic linting, formatting, branch name checks and commit message checks, run:
```shell ```bash
git config --local core.hooksPath .githooks uv run pre-commit install
uv run pre-commit install --hook-type commit-msg
``` ```
If your commit fails its either: 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:
branch name != <type>/description-of-branch ,
commit name != <type>: description of the commit.
<ref>: N25B-Num's
To add automatic linting and formatting, run: ```bash
git config --local --unset core.hooksPath
```
```shell Then run the pre-commit install commands again.
uv run pre-commit install
```

15
src/control_backend/agents/bdi/behaviours/text_belief_extractor.py
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@@ -9,18 +9,23 @@ from control_backend.core.config import settings
class BeliefFromText(CyclicBehaviour): class BeliefFromText(CyclicBehaviour):
# TODO: LLM prompt nog hardcoded # TODO: LLM prompt nog hardcoded
llm_instruction_prompt = """ llm_instruction_prompt = """
You are an information extraction assistent for a BDI agent. Your task is to extract values from a user's text to bind a list of ungrounded beliefs. Rules: You are an information extraction assistent for a BDI agent. Your task is to extract values \
You will receive a JSON object with "beliefs" (a list of ungrounded AgentSpeak beliefs) and "text" (user's transcript). from a user's text to bind a list of ungrounded beliefs. Rules:
You will receive a JSON object with "beliefs" (a list of ungrounded AgentSpeak beliefs) \
and "text" (user's transcript).
Analyze the text to find values that sematically match the variables (X,Y,Z) in the beliefs. Analyze the text to find values that sematically match the variables (X,Y,Z) in the beliefs.
A single piece of text might contain multiple instances that match a belief. A single piece of text might contain multiple instances that match a belief.
Respond ONLY with a single JSON object. Respond ONLY with a single JSON object.
The JSON object's keys should be the belief functors (e.g., "weather"). The JSON object's keys should be the belief functors (e.g., "weather").
The value for each key must be a list of lists. The value for each key must be a list of lists.
Each inner list must contain the extracted arguments (as strings) for one instance of that belief. Each inner list must contain the extracted arguments (as strings) for one instance \
CRITICAL: If no information in the text matches a belief, DO NOT include that key in your response. of that belief.
CRITICAL: If no information in the text matches a belief, DO NOT include that key \
in your response.
""" """
# on_start agent receives message containing the beliefs to look out for and sets up the LLM with instruction prompt # on_start agent receives message containing the beliefs to look out for and
# sets up the LLM with instruction prompt
# async def on_start(self): # async def on_start(self):
# msg = await self.receive(timeout=0.1) # msg = await self.receive(timeout=0.1)
# self.beliefs = dict uit message # self.beliefs = dict uit message

12
src/control_backend/agents/belief_collector/behaviours/continuous_collect.py
View File

@@ -7,6 +7,7 @@ from spade.behaviour import CyclicBehaviour
from control_backend.core.config import settings from control_backend.core.config import settings
class ContinuousBeliefCollector(CyclicBehaviour): class ContinuousBeliefCollector(CyclicBehaviour):
""" """
Continuously collects beliefs/emotions from extractor agents: Continuously collects beliefs/emotions from extractor agents:
@@ -23,9 +24,12 @@ class ContinuousBeliefCollector(CyclicBehaviour):
# Parse JSON payload # Parse JSON payload
try: try:
payload = json.loads(msg.body) payload = json.loads(msg.body)
except JSONDecodeError as e: except Exception as e:
self.agent.logger.warning( logger.warning(
"Failed to parse JSON from %s. Body=%r Error=%s", sender_node, msg.body, e "BeliefCollector: failed to parse JSON from %s. Body=%r Error=%s",
sender_node,
msg.body,
e,
) )
return return
@@ -51,7 +55,7 @@ class ContinuousBeliefCollector(CyclicBehaviour):
Expected payload: Expected payload:
{ {
"type": "belief_extraction_text", "type": "belief_extraction_text",
"beliefs": {"user_said": ["hello"","Can you help me?","stop talking to me","No","Pepper do a dance"]} "beliefs": {"user_said": ["Can you help me?"]}
} }

6
src/control_backend/agents/mock_agents/belief_text_mock.py
View File

@@ -10,7 +10,11 @@ from control_backend.core.config import settings
class BeliefTextAgent(Agent): class BeliefTextAgent(Agent):
class SendOnceBehaviourBlfText(OneShotBehaviour): class SendOnceBehaviourBlfText(OneShotBehaviour):
async def run(self): async def run(self):
to_jid = f"{settings.agent_settings.belief_collector_agent_name}@{settings.agent_settings.host}" to_jid = (
settings.agent_settings.belief_collector_agent_name
+ "@"
+ settings.agent_settings.host
)
# Send multiple beliefs in one JSON payload # Send multiple beliefs in one JSON payload
payload = { payload = {

18
src/control_backend/agents/transcription/speech_recognizer.py
View File

@@ -75,7 +75,8 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
self.model_name = "mlx-community/whisper-small.en-mlx" self.model_name = "mlx-community/whisper-small.en-mlx"
def load_model(self): def load_model(self):
if self.was_loaded: return if self.was_loaded:
return
# There appears to be no dedicated mechanism to preload a model, but this `get_model` does # There appears to be no dedicated mechanism to preload a model, but this `get_model` does
# store it in memory for later usage # store it in memory for later usage
ModelHolder.get_model(self.model_name, mx.float16) ModelHolder.get_model(self.model_name, mx.float16)
@@ -83,9 +84,9 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
def recognize_speech(self, audio: np.ndarray) -> str: def recognize_speech(self, audio: np.ndarray) -> str:
self.load_model() self.load_model()
return mlx_whisper.transcribe(audio, return mlx_whisper.transcribe(
path_or_hf_repo=self.model_name, audio, path_or_hf_repo=self.model_name, decode_options=self._get_decode_options(audio)
decode_options=self._get_decode_options(audio))["text"] )["text"]
return mlx_whisper.transcribe(audio, path_or_hf_repo=self.model_name)["text"].strip() return mlx_whisper.transcribe(audio, path_or_hf_repo=self.model_name)["text"].strip()
@@ -95,12 +96,13 @@ class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):
self.model = None self.model = None
def load_model(self): def load_model(self):
if self.model is not None: return if self.model is not None:
return
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
self.model = whisper.load_model("small.en", device=device) self.model = whisper.load_model("small.en", device=device)
def recognize_speech(self, audio: np.ndarray) -> str: def recognize_speech(self, audio: np.ndarray) -> str:
self.load_model() self.load_model()
return whisper.transcribe(self.model, return whisper.transcribe(
audio, self.model, audio, decode_options=self._get_decode_options(audio)
decode_options=self._get_decode_options(audio))["text"] )["text"]

5
src/control_backend/api/v1/endpoints/command.py
View File

@@ -1,9 +1,9 @@
from fastapi import APIRouter, Request
import logging import logging
from fastapi import APIRouter, Request
from zmq import Socket from zmq import Socket
from control_backend.schemas.ri_message import SpeechCommand, RIEndpoint from control_backend.schemas.ri_message import SpeechCommand
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@@ -17,6 +17,5 @@ async def receive_command(command: SpeechCommand, request: Request):
topic = b"command" topic = b"command"
pub_socket: Socket = request.app.state.internal_comm_socket pub_socket: Socket = request.app.state.internal_comm_socket
pub_socket.send_multipart([topic, command.model_dump_json().encode()]) pub_socket.send_multipart([topic, command.model_dump_json().encode()])
return {"status": "Command received"} return {"status": "Command received"}

2
src/control_backend/api/v1/router.py
View File

@@ -1,6 +1,6 @@
from fastapi.routing import APIRouter from fastapi.routing import APIRouter
from control_backend.api.v1.endpoints import message, sse, command from control_backend.api.v1.endpoints import command, message, sse
api_router = APIRouter() api_router = APIRouter()

2
src/control_backend/core/config.py
View File

@@ -24,6 +24,7 @@ class LLMSettings(BaseModel):
local_llm_url: str = "http://localhost:1234/v1/chat/completions" local_llm_url: str = "http://localhost:1234/v1/chat/completions"
local_llm_model: str = "openai/gpt-oss-20b" local_llm_model: str = "openai/gpt-oss-20b"
class Settings(BaseSettings): class Settings(BaseSettings):
app_title: str = "PepperPlus" app_title: str = "PepperPlus"
@@ -37,4 +38,5 @@ class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env") model_config = SettingsConfigDict(env_file=".env")
settings = Settings() settings = Settings()

4
src/control_backend/schemas/ri_message.py
View File

@@ -1,7 +1,7 @@
from enum import Enum from enum import Enum
from typing import Any, Literal from typing import Any
from pydantic import BaseModel, Field, ValidationError from pydantic import BaseModel
class RIEndpoint(str, Enum): class RIEndpoint(str, Enum):

8
test/integration/agents/test_ri_commands_agent.py
View File

@@ -1,10 +1,10 @@
import asyncio
import zmq
import json import json
import pytest
from unittest.mock import AsyncMock, MagicMock, patch from unittest.mock import AsyncMock, MagicMock, patch
import pytest
import zmq
from control_backend.agents.ri_command_agent import RICommandAgent from control_backend.agents.ri_command_agent import RICommandAgent
from control_backend.schemas.ri_message import SpeechCommand
@pytest.mark.asyncio @pytest.mark.asyncio

12
test/integration/agents/test_ri_communication_agent.py
View File

@@ -1,6 +1,8 @@
import asyncio import asyncio
from unittest.mock import ANY, AsyncMock, MagicMock, patch
import pytest import pytest
from unittest.mock import AsyncMock, MagicMock, patch, ANY
from control_backend.agents.ri_communication_agent import RICommunicationAgent from control_backend.agents.ri_communication_agent import RICommunicationAgent
@@ -185,8 +187,8 @@ async def test_setup_creates_socket_and_negotiate_3(monkeypatch, caplog):
# Mock RICommandAgent agent startup # Mock RICommandAgent agent startup
# We are sending wrong negotiation info to the communication agent, so we should retry and expect a # We are sending wrong negotiation info to the communication agent,
# better response, within a limited time. # so we should retry and expect a better response, within a limited time.
with patch( with patch(
"control_backend.agents.ri_communication_agent.RICommandAgent", autospec=True "control_backend.agents.ri_communication_agent.RICommandAgent", autospec=True
) as MockCommandAgent: ) as MockCommandAgent:
@@ -358,8 +360,8 @@ async def test_setup_creates_socket_and_negotiate_7(monkeypatch, caplog):
# Mock RICommandAgent agent startup # Mock RICommandAgent agent startup
# We are sending wrong negotiation info to the communication agent, so we should retry and expect a # We are sending wrong negotiation info to the communication agent,
# better response, within a limited time. # so we should retry and expect a better response, within a limited time.
with patch( with patch(
"control_backend.agents.ri_communication_agent.RICommandAgent", autospec=True "control_backend.agents.ri_communication_agent.RICommandAgent", autospec=True
) as MockCommandAgent: ) as MockCommandAgent:

3
test/integration/api/endpoints/test_command_endpoint.py
View File

@@ -1,7 +1,8 @@
from unittest.mock import MagicMock
import pytest import pytest
from fastapi import FastAPI from fastapi import FastAPI
from fastapi.testclient import TestClient from fastapi.testclient import TestClient
from unittest.mock import MagicMock
from control_backend.api.v1.endpoints import command from control_backend.api.v1.endpoints import command
from control_backend.schemas.ri_message import SpeechCommand from control_backend.schemas.ri_message import SpeechCommand

22
test/integration/schemas/test_ri_message.py
View File

@@ -1,7 +1,8 @@
import pytest import pytest
from control_backend.schemas.ri_message import RIMessage, RIEndpoint, SpeechCommand
from pydantic import ValidationError from pydantic import ValidationError
from control_backend.schemas.ri_message import RIEndpoint, RIMessage, SpeechCommand
def valid_command_1(): def valid_command_1():
return SpeechCommand(data="Hallo?") return SpeechCommand(data="Hallo?")
@@ -13,24 +14,13 @@ def invalid_command_1():
def test_valid_speech_command_1(): def test_valid_speech_command_1():
command = valid_command_1() command = valid_command_1()
try: RIMessage.model_validate(command)
RIMessage.model_validate(command) SpeechCommand.model_validate(command)
SpeechCommand.model_validate(command)
assert True
except ValidationError:
assert False
def test_invalid_speech_command_1(): def test_invalid_speech_command_1():
command = invalid_command_1() command = invalid_command_1()
passed_ri_message_validation = False RIMessage.model_validate(command)
try:
# Should succeed, still.
RIMessage.model_validate(command)
passed_ri_message_validation = True
# Should fail. with pytest.raises(ValidationError):
SpeechCommand.model_validate(command) SpeechCommand.model_validate(command)
assert False
except ValidationError:
assert passed_ri_message_validation

1
test/unit/agents/bdi/behaviours/test_belief_setter.py
View File

@@ -203,6 +203,7 @@ def test_set_beliefs_success(belief_setter, mock_agent, caplog):
assert "Set belief is_hot with arguments ['kitchen']" in caplog.text assert "Set belief is_hot with arguments ['kitchen']" in caplog.text
assert "Set belief door_opened with arguments ['front_door', 'back_door']" in caplog.text assert "Set belief door_opened with arguments ['front_door', 'back_door']" in caplog.text
# def test_responded_unset(belief_setter, mock_agent): # def test_responded_unset(belief_setter, mock_agent):
# # Arrange # # Arrange
# new_beliefs = {"user_said": ["message"]} # new_beliefs = {"user_said": ["message"]}

73
test/unit/agents/belief_collector/behaviours/test_continuous_collect.py
View File

@@ -1,10 +1,12 @@
import json import json
import logging from unittest.mock import AsyncMock, MagicMock
from unittest.mock import MagicMock, AsyncMock, call
import pytest import pytest
from control_backend.agents.belief_collector.behaviours.continuous_collect import ContinuousBeliefCollector from control_backend.agents.belief_collector.behaviours.continuous_collect import (
ContinuousBeliefCollector,
)
@pytest.fixture @pytest.fixture
def mock_agent(mocker): def mock_agent(mocker):
@@ -13,18 +15,20 @@ def mock_agent(mocker):
agent.jid = "belief_collector_agent@test" agent.jid = "belief_collector_agent@test"
return agent return agent
@pytest.fixture @pytest.fixture
def continuous_collector(mock_agent, mocker): def continuous_collector(mock_agent, mocker):
"""Fixture to create an instance of ContinuousBeliefCollector with a mocked agent.""" """Fixture to create an instance of ContinuousBeliefCollector with a mocked agent."""
# Patch asyncio.sleep to prevent tests from actually waiting # Patch asyncio.sleep to prevent tests from actually waiting
mocker.patch("asyncio.sleep", return_value=None) mocker.patch("asyncio.sleep", return_value=None)
collector = ContinuousBeliefCollector() collector = ContinuousBeliefCollector()
collector.agent = mock_agent collector.agent = mock_agent
# Mock the receive method, we will control its return value in each test # Mock the receive method, we will control its return value in each test
collector.receive = AsyncMock() collector.receive = AsyncMock()
return collector return collector
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_run_no_message_received(continuous_collector, mocker): async def test_run_no_message_received(continuous_collector, mocker):
""" """
@@ -40,6 +44,7 @@ async def test_run_no_message_received(continuous_collector, mocker):
# Assert # Assert
continuous_collector._process_message.assert_not_called() continuous_collector._process_message.assert_not_called()
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_run_message_received(continuous_collector, mocker): async def test_run_message_received(continuous_collector, mocker):
""" """
@@ -55,7 +60,8 @@ async def test_run_message_received(continuous_collector, mocker):
# Assert # Assert
continuous_collector._process_message.assert_awaited_once_with(mock_msg) continuous_collector._process_message.assert_awaited_once_with(mock_msg)
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_process_message_invalid(continuous_collector, mocker): async def test_process_message_invalid(continuous_collector, mocker):
""" """
@@ -66,15 +72,18 @@ async def test_process_message_invalid(continuous_collector, mocker):
msg = MagicMock() msg = MagicMock()
msg.body = invalid_json msg.body = invalid_json
msg.sender = "belief_text_agent_mock@test" msg.sender = "belief_text_agent_mock@test"
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
# Act # Act
await continuous_collector._process_message(msg) await continuous_collector._process_message(msg)
# Assert # Assert
logger_mock.warning.assert_called_once() logger_mock.warning.assert_called_once()
def test_get_sender_from_message(continuous_collector): def test_get_sender_from_message(continuous_collector):
""" """
Test that _sender_node correctly extracts the sender node from the message JID. Test that _sender_node correctly extracts the sender node from the message JID.
@@ -89,6 +98,7 @@ def test_get_sender_from_message(continuous_collector):
# Assert # Assert
assert sender_node == "agent_node" assert sender_node == "agent_node"
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_routes_to_handle_belief_text_by_type(continuous_collector, mocker): async def test_routes_to_handle_belief_text_by_type(continuous_collector, mocker):
msg = MagicMock() msg = MagicMock()
@@ -98,6 +108,7 @@ async def test_routes_to_handle_belief_text_by_type(continuous_collector, mocker
await continuous_collector._process_message(msg) await continuous_collector._process_message(msg)
spy.assert_awaited_once() spy.assert_awaited_once()
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_routes_to_handle_belief_text_by_sender(continuous_collector, mocker): async def test_routes_to_handle_belief_text_by_sender(continuous_collector, mocker):
msg = MagicMock() msg = MagicMock()
@@ -107,6 +118,7 @@ async def test_routes_to_handle_belief_text_by_sender(continuous_collector, mock
await continuous_collector._process_message(msg) await continuous_collector._process_message(msg)
spy.assert_awaited_once() spy.assert_awaited_once()
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_routes_to_handle_emo_text(continuous_collector, mocker): async def test_routes_to_handle_emo_text(continuous_collector, mocker):
msg = MagicMock() msg = MagicMock()
@@ -116,50 +128,64 @@ async def test_routes_to_handle_emo_text(continuous_collector, mocker):
await continuous_collector._process_message(msg) await continuous_collector._process_message(msg)
spy.assert_awaited_once() spy.assert_awaited_once()
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_unrecognized_message_logs_info(continuous_collector, mocker): async def test_unrecognized_message_logs_info(continuous_collector, mocker):
msg = MagicMock() msg = MagicMock()
msg.body = json.dumps({"type": "something_else"}) msg.body = json.dumps({"type": "something_else"})
msg.sender = "x@test" msg.sender = "x@test"
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
await continuous_collector._process_message(msg) await continuous_collector._process_message(msg)
logger_mock.info.assert_any_call( logger_mock.info.assert_any_call(
"BeliefCollector: unrecognized message (sender=%s, type=%r). Ignoring.", "x", "something_else" "BeliefCollector: unrecognized message (sender=%s, type=%r). Ignoring.",
"x",
"something_else",
) )
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_belief_text_no_beliefs(continuous_collector, mocker): async def test_belief_text_no_beliefs(continuous_collector, mocker):
msg_payload = {"type": "belief_extraction_text"} # no 'beliefs' msg_payload = {"type": "belief_extraction_text"} # no 'beliefs'
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
await continuous_collector._handle_belief_text(msg_payload, "origin_node") await continuous_collector._handle_belief_text(msg_payload, "origin_node")
logger_mock.info.assert_any_call("BeliefCollector: no beliefs to process.") logger_mock.info.assert_any_call("BeliefCollector: no beliefs to process.")
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_belief_text_beliefs_not_dict(continuous_collector, mocker): async def test_belief_text_beliefs_not_dict(continuous_collector, mocker):
payload = {"type": "belief_extraction_text", "beliefs": ["not", "a", "dict"]} payload = {"type": "belief_extraction_text", "beliefs": ["not", "a", "dict"]}
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
await continuous_collector._handle_belief_text(payload, "origin") await continuous_collector._handle_belief_text(payload, "origin")
logger_mock.warning.assert_any_call("BeliefCollector: 'beliefs' is not a dict: %r", ["not", "a", "dict"]) logger_mock.warning.assert_any_call(
"BeliefCollector: 'beliefs' is not a dict: %r", ["not", "a", "dict"]
)
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_belief_text_values_not_lists(continuous_collector, mocker): async def test_belief_text_values_not_lists(continuous_collector, mocker):
payload = {"type": "belief_extraction_text", "beliefs": {"user_said": "not-a-list"}} payload = {"type": "belief_extraction_text", "beliefs": {"user_said": "not-a-list"}}
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
await continuous_collector._handle_belief_text(payload, "origin") await continuous_collector._handle_belief_text(payload, "origin")
logger_mock.warning.assert_any_call( logger_mock.warning.assert_any_call(
"BeliefCollector: 'beliefs' values are not all lists: %r", {"user_said": "not-a-list"} "BeliefCollector: 'beliefs' values are not all lists: %r", {"user_said": "not-a-list"}
) )
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_belief_text_happy_path_logs_items_and_sends(continuous_collector, mocker): async def test_belief_text_happy_path_logs_items_and_sends(continuous_collector, mocker):
payload = { payload = {"type": "belief_extraction_text", "beliefs": {"user_said": ["hello test", "No"]}}
"type": "belief_extraction_text",
"beliefs": {"user_said": ["hello test", "No"]}
}
# Your code calls self.send(..); patch it (or switch implementation to self.agent.send and patch that)
continuous_collector.send = AsyncMock() continuous_collector.send = AsyncMock()
logger_mock = mocker.patch("control_backend.agents.belief_collector.behaviours.continuous_collect.logger") logger_mock = mocker.patch(
"control_backend.agents.belief_collector.behaviours.continuous_collect.logger"
)
await continuous_collector._handle_belief_text(payload, "belief_text_agent_mock") await continuous_collector._handle_belief_text(payload, "belief_text_agent_mock")
logger_mock.info.assert_any_call("BeliefCollector: forwarding %d beliefs.", 1) logger_mock.info.assert_any_call("BeliefCollector: forwarding %d beliefs.", 1)
@@ -169,12 +195,14 @@ async def test_belief_text_happy_path_logs_items_and_sends(continuous_collector,
# make sure we attempted a send # make sure we attempted a send
continuous_collector.send.assert_awaited_once() continuous_collector.send.assert_awaited_once()
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_send_beliefs_noop_on_empty(continuous_collector): async def test_send_beliefs_noop_on_empty(continuous_collector):
continuous_collector.send = AsyncMock() continuous_collector.send = AsyncMock()
await continuous_collector._send_beliefs_to_bdi([], origin="o") await continuous_collector._send_beliefs_to_bdi([], origin="o")
continuous_collector.send.assert_not_awaited() continuous_collector.send.assert_not_awaited()
# @pytest.mark.asyncio # @pytest.mark.asyncio
# async def test_send_beliefs_sends_json_packet(continuous_collector): # async def test_send_beliefs_sends_json_packet(continuous_collector):
# # Patch .send and capture the message body # # Patch .send and capture the message body
@@ -191,19 +219,22 @@ async def test_send_beliefs_noop_on_empty(continuous_collector):
# assert "belief_packet" in json.loads(sent["body"])["type"] # assert "belief_packet" in json.loads(sent["body"])["type"]
# assert json.loads(sent["body"])["beliefs"] == beliefs # assert json.loads(sent["body"])["beliefs"] == beliefs
def test_sender_node_no_sender_returns_literal(continuous_collector): def test_sender_node_no_sender_returns_literal(continuous_collector):
msg = MagicMock() msg = MagicMock()
msg.sender = None msg.sender = None
assert continuous_collector._sender_node(msg) == "no_sender" assert continuous_collector._sender_node(msg) == "no_sender"
def test_sender_node_without_at(continuous_collector): def test_sender_node_without_at(continuous_collector):
msg = MagicMock() msg = MagicMock()
msg.sender = "localpartonly" msg.sender = "localpartonly"
assert continuous_collector._sender_node(msg) == "localpartonly" assert continuous_collector._sender_node(msg) == "localpartonly"
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_belief_text_coerces_non_strings(continuous_collector, mocker): async def test_belief_text_coerces_non_strings(continuous_collector, mocker):
payload = {"type": "belief_extraction_text", "beliefs": {"user_said": [["hi", 123]]}} payload = {"type": "belief_extraction_text", "beliefs": {"user_said": [["hi", 123]]}}
continuous_collector.send = AsyncMock() continuous_collector.send = AsyncMock()
await continuous_collector._handle_belief_text(payload, "origin") await continuous_collector._handle_belief_text(payload, "origin")
continuous_collector.send.assert_awaited_once() continuous_collector.send.assert_awaited_once()

4
test/unit/agents/transcription/test_speech_recognizer.py
View File

@@ -6,7 +6,7 @@ from control_backend.agents.transcription.speech_recognizer import OpenAIWhisper
def test_estimate_max_tokens(): def test_estimate_max_tokens():
"""Inputting one minute of audio, assuming 300 words per minute, expecting 400 tokens.""" """Inputting one minute of audio, assuming 300 words per minute, expecting 400 tokens."""
audio = np.empty(shape=(60*16_000), dtype=np.float32) audio = np.empty(shape=(60 * 16_000), dtype=np.float32)
actual = SpeechRecognizer._estimate_max_tokens(audio) actual = SpeechRecognizer._estimate_max_tokens(audio)
@@ -16,7 +16,7 @@ def test_estimate_max_tokens():
def test_get_decode_options(): def test_get_decode_options():
"""Check whether the right decode options are given under different scenarios.""" """Check whether the right decode options are given under different scenarios."""
audio = np.empty(shape=(60*16_000), dtype=np.float32) audio = np.empty(shape=(60 * 16_000), dtype=np.float32)
# With the defaults, it should limit output length based on input size # With the defaults, it should limit output length based on input size
recognizer = OpenAIWhisperSpeechRecognizer() recognizer = OpenAIWhisperSpeechRecognizer()