docs: add missing docs

ref: N25B-115
This commit is contained in:
2026-01-16 15:35:41 +01:00
parent 41bd3ffc50
commit 7f7e0c542e
17 changed files with 191 additions and 73 deletions

View File

@@ -50,10 +50,8 @@ class UserInterruptAgent(BaseAgent):
async def setup(self):
"""
Initialize the agent.
Connects the internal ZMQ SUB socket and subscribes to the 'button_pressed' topic.
Starts the background behavior to receive the user interrupts.
Initialize the agent by setting up ZMQ sockets for receiving button events and
publishing updates.
"""
context = Context.instance()
@@ -68,18 +66,15 @@ class UserInterruptAgent(BaseAgent):
async def _receive_button_event(self):
"""
The behaviour of the UserInterruptAgent.
Continuous loop that receives button_pressed events from the button_pressed HTTP endpoint.
These events contain a type and a context.
Main loop to receive and process button press events from the UI.
These are the different types and contexts:
- type: "speech", context: string that the robot has to say.
- type: "gesture", context: single gesture name that the robot has to perform.
- type: "override", context: id that belongs to the goal/trigger/conditional norm.
- type: "override_unachieve", context: id that belongs to the conditional norm to unachieve.
- type: "next_phase", context: None, indicates to the BDI Core to
- type: "pause", context: boolean indicating whether to pause
- type: "reset_phase", context: None, indicates to the BDI Core to
Handles different event types:
- `speech`: Triggers immediate robot speech.
- `gesture`: Triggers an immediate robot gesture.
- `override`: Forces a belief, trigger, or goal completion in the BDI core.
- `override_unachieve`: Removes a belief from the BDI core.
- `pause`: Toggles the system's pause state.
- `next_phase` / `reset_phase`: Controls experiment flow.
"""
while True:
topic, body = await self.sub_socket.recv_multipart()
@@ -172,7 +167,10 @@ class UserInterruptAgent(BaseAgent):
async def handle_message(self, msg: InternalMessage):
"""
Handle commands received from other internal Python agents.
Handles internal messages from other agents, such as program updates or trigger
notifications.
:param msg: The incoming :class:`~control_backend.core.agent_system.InternalMessage`.
"""
match msg.thread:
case "new_program":
@@ -217,8 +215,9 @@ class UserInterruptAgent(BaseAgent):
async def _broadcast_cond_norms(self, active_slugs: list[str]):
"""
Sends the current state of all conditional norms to the UI.
:param active_slugs: A list of slugs (strings) currently active in the BDI core.
Broadcasts the current activation state of all conditional norms to the UI.
:param active_slugs: A list of sluggified norm names currently active in the BDI core.
"""
updates = []
for asl_slug, ui_id in self._cond_norm_reverse_map.items():
@@ -235,7 +234,9 @@ class UserInterruptAgent(BaseAgent):
def _create_mapping(self, program_json: str):
"""
Create mappings between UI IDs and ASL slugs for triggers, goals, and conditional norms
Creates a bidirectional mapping between UI identifiers and AgentSpeak slugs.
:param program_json: The JSON representation of the behavioral program.
"""
try:
program = Program.model_validate_json(program_json)
@@ -277,8 +278,10 @@ class UserInterruptAgent(BaseAgent):
async def _send_experiment_update(self, data, should_log: bool = True):
"""
Sends an update to the 'experiment' topic.
The SSE endpoint will pick this up and push it to the UI.
Publishes an experiment state update to the internal ZMQ bus for the UI.
:param data: The update payload.
:param should_log: Whether to log the update.
"""
if self.pub_socket:
topic = b"experiment"