📝 Add docstrings to stop

Docstrings generation was requested by @JarbasAl.

* #643 (comment)

The following files were modified:

* `ovos_core/intent_services/__init__.py`
* `ovos_core/intent_services/converse_service.py`
* `ovos_core/intent_services/stop_service.py`

Author: coderabbitai[bot]

ovos_core/intent_services/__init__.py

@@ -268,12 +268,31 @@ def _handle_deactivate(self, message):
         self._deactivations[sess.session_id].append(skill_id)
 
     def _emit_match_message(self, match: Union[IntentHandlerMatch, PipelineMatch], message: Message):
-        """Update the message data with the matched utterance information and
-        activate the corresponding skill if available.
-
+        """
+        Emit a reply message for a matched intent, updating session and skill activation.
+        
+        This method processes matched intents from either a pipeline matcher or an intent handler,
+        creating a reply message with matched intent details and managing skill activation.
+        
         Args:
-            match (IntentHandlerMatch): The matched utterance object.
-            message (Message): The messagebus data.
+            match (Union[IntentHandlerMatch, PipelineMatch]): The matched intent object containing
+                utterance and matching information.
+            message (Message): The original messagebus message that triggered the intent match.
+        
+        Details:
+            - Handles two types of matches: PipelineMatch and IntentHandlerMatch
+            - Creates a reply message with matched intent data
+            - Activates the corresponding skill if not previously deactivated
+            - Updates session information
+            - Emits the reply message on the messagebus
+        
+        Side Effects:
+            - Modifies session state
+            - Emits a messagebus event
+            - Can trigger skill activation events
+        
+        Returns:
+            None
         """
         reply = None
         sess = match.updated_session or SessionManager.get(message)
@@ -313,6 +332,24 @@ def _emit_match_message(self, match: Union[IntentHandlerMatch, PipelineMatch], m
             self.bus.emit(reply)
 
     def send_cancel_event(self, message):
+        """
+        Emit events and play a sound when an utterance is canceled.
+        
+        Logs the cancellation with the specific cancel word, plays a predefined cancel sound,
+        and emits multiple events to signal the utterance cancellation.
+        
+        Parameters:
+            message (Message): The original message that triggered the cancellation.
+        
+        Events Emitted:
+            - 'mycroft.audio.play_sound': Plays a cancel sound from configuration
+            - 'ovos.utterance.cancelled': Signals that the utterance was canceled
+            - 'ovos.utterance.handled': Indicates the utterance processing is complete
+        
+        Notes:
+            - Uses the default cancel sound path 'snd/cancel.mp3' if not specified in configuration
+            - Ensures events are sent as replies to the original message
+        """
         LOG.info("utterance canceled, cancel_word:" + message.context.get("cancel_word"))
         # play dedicated cancel sound
         sound = Configuration().get('sounds', {}).get('cancel', "snd/cancel.mp3")

ovos_core/intent_services/converse_service.py

@@ -313,15 +313,29 @@ def converse(self, utterances: List[str], skill_id: str, lang: str, message: Mes
         return False
 
     def converse_with_skills(self, utterances: List[str], lang: str, message: Message) -> Optional[PipelineMatch]:
-        """Give active skills a chance at the utterance
-
+        """
+        Attempt to converse with active skills for a given set of utterances.
+        
+        Iterates through active skills to find one that can handle the utterance. Filters skills based on timeout and blacklist status.
+        
         Args:
-            utterances (list):  list of utterances
-            lang (string):      4 letter ISO language code
-            message (Message):  message to use to generate reply
-
+            utterances (List[str]): List of utterance strings to process
+            lang (str): 4-letter ISO language code for the utterances
+            message (Message): Message context for generating a reply
+        
         Returns:
-            IntentMatch if handled otherwise None.
+            PipelineMatch: Match details if a skill successfully handles the utterance, otherwise None
+            - handled (bool): Whether the utterance was fully handled
+            - match_data (dict): Additional match metadata
+            - skill_id (str): ID of the skill that handled the utterance
+            - updated_session (Session): Current session state after skill interaction
+            - utterance (str): The original utterance processed
+        
+        Notes:
+            - Standardizes language tag
+            - Filters out blacklisted skills
+            - Checks for skill conversation timeouts
+            - Attempts conversation with each eligible skill
         """
         lang = standardize_lang_tag(lang)
         session = SessionManager.get(message)

ovos_core/intent_services/stop_service.py

@@ -50,8 +50,25 @@ def get_active_skills(message: Optional[Message] = None) -> List[str]:
         return [skill[0] for skill in session.active_skills]
 
     def _collect_stop_skills(self, message: Message) -> List[str]:
-        """use the messagebus api to determine which skills can stop
-        This includes all skills and external applications"""
+        """
+        Collect skills that can be stopped based on a ping-pong mechanism.
+        
+        This method determines which active skills can handle a stop request by sending
+        a stop ping to each active skill and waiting for their acknowledgment.
+        
+        Parameters:
+            message (Message): The original message triggering the stop request.
+        
+        Returns:
+            List[str]: A list of skill IDs that can be stopped. If no skills explicitly
+                      indicate they can stop, returns all active skills.
+        
+        Notes:
+            - Excludes skills that are blacklisted in the current session
+            - Uses a non-blocking event mechanism to collect skill responses
+            - Waits up to 0.5 seconds for skills to respond
+            - Falls back to all active skills if no explicit stop confirmation is received
+        """
         sess = SessionManager.get(message)
 
         want_stop = []
@@ -66,6 +83,23 @@ def _collect_stop_skills(self, message: Message) -> List[str]:
         event = Event()
 
         def handle_ack(msg):
+            """
+            Handle acknowledgment from skills during the stop process.
+            
+            This method is a nested function used in skill stopping negotiation. It validates and tracks skill responses to a stop request.
+            
+            Parameters:
+                msg (Message): Message containing skill acknowledgment details.
+            
+            Side Effects:
+                - Modifies the `want_stop` list with skills that can handle stopping
+                - Updates the `skill_ids` list to track which skills have responded
+                - Sets the threading event when all active skills have responded
+            
+            Notes:
+                - Checks if a skill can handle stopping based on multiple conditions
+                - Ensures all active skills provide a response before proceeding
+            """
             nonlocal event, skill_ids
             skill_id = msg.data["skill_id"]
 
@@ -96,15 +130,28 @@ def handle_ack(msg):
         return want_stop or active_skills
 
     def stop_skill(self, skill_id: str, message: Message) -> bool:
-        """Tell a skill to stop anything it's doing,
-        taking into account the message Session
-
+        """
+        Stop a skill's ongoing activities and manage its session state.
+        
+        Sends a stop command to a specific skill and handles its response, ensuring
+        that any active interactions or processes are terminated. The method checks
+        for errors, verifies the skill's stopped status, and emits additional signals
+        to forcibly abort ongoing actions like conversations, questions, or speech.
+        
         Args:
-            skill_id: skill to query.
-            message (Message): message containing interaction info.
-
+            skill_id (str): Unique identifier of the skill to be stopped.
+            message (Message): The original message context containing interaction details.
+        
         Returns:
-            handled (bool): True if handled otherwise False.
+            bool: True if the skill was successfully stopped, False otherwise.
+        
+        Raises:
+            Logs error if skill stop request encounters an issue.
+        
+        Notes:
+            - Emits multiple bus messages to ensure complete skill termination
+            - Checks and handles different skill interaction states
+            - Supports force-stopping of conversations, questions, and speech
         """
         stop_msg = message.reply(f"{skill_id}.stop")
         result = self.bus.wait_for_response(stop_msg, f"{skill_id}.stop.response")
@@ -133,15 +180,28 @@ def stop_skill(self, skill_id: str, message: Message) -> bool:
         return stopped
 
     def match_stop_high(self, utterances: List[str], lang: str, message: Message) -> Optional[PipelineMatch]:
-        """If utterance is an exact match for "stop" , run before intent stage
-
-        Args:
-            utterances (list):  list of utterances
-            lang (string):      4 letter ISO language code
-            message (Message):  message to use to generate reply
-
+        """
+        Handles high-confidence stop requests by matching exact stop vocabulary and managing skill stopping.
+        
+        Attempts to stop skills when an exact "stop" or "global_stop" command is detected. Performs the following actions:
+        - Identifies the closest language match for vocabulary
+        - Checks for global stop command when no active skills exist
+        - Emits a global stop message if applicable
+        - Attempts to stop individual skills if a stop command is detected
+        - Disables response mode for stopped skills
+        
+        Parameters:
+            utterances (List[str]): List of user utterances to match against stop vocabulary
+            lang (str): Four-letter ISO language code for language-specific matching
+            message (Message): Message context for generating appropriate responses
+        
         Returns:
-            PipelineMatch if handled otherwise None.
+            Optional[PipelineMatch]: Match result indicating whether stop was handled, with optional skill and session information
+            - Returns None if no stop action could be performed
+            - Returns PipelineMatch with handled=True for successful global or skill-specific stop
+        
+        Raises:
+            No explicit exceptions raised, but may log debug/info messages during processing
         """
         lang = self._get_closest_lang(lang)
         if lang is None:  # no vocs registered for this lang
@@ -182,16 +242,26 @@ def match_stop_high(self, utterances: List[str], lang: str, message: Message) ->
         return None
 
     def match_stop_medium(self, utterances: List[str], lang: str, message: Message) -> Optional[PipelineMatch]:
-        """ if "stop" intent is in the utterance,
-        but it contains additional words not in .intent files
-
-        Args:
-            utterances (list):  list of utterances
-            lang (string):      4 letter ISO language code
-            message (Message):  message to use to generate reply
-
+        """
+        Handle stop intent with additional context beyond simple stop commands.
+        
+        This method processes utterances that contain "stop" or global stop vocabulary but may include
+        additional words not explicitly defined in intent files. It performs a medium-confidence
+        intent matching for stop requests.
+        
+        Parameters:
+            utterances (List[str]): List of input utterances to analyze
+            lang (str): Four-letter ISO language code for localization
+            message (Message): Message context for generating appropriate responses
+        
         Returns:
-            PipelineMatch if handled otherwise None.
+            Optional[PipelineMatch]: A pipeline match if the stop intent is successfully processed,
+            otherwise None if no stop intent is detected
+        
+        Notes:
+            - Attempts to match stop vocabulary with fuzzy matching
+            - Falls back to low-confidence matching if medium-confidence match is inconclusive
+            - Handles global stop scenarios when no active skills are present
         """
         lang = self._get_closest_lang(lang)
         if lang is None:  # no vocs registered for this lang
@@ -222,15 +292,24 @@ def _get_closest_lang(self, lang: str) -> Optional[str]:
         return None
 
     def match_stop_low(self, utterances: List[str], lang: str, message: Message) -> Optional[PipelineMatch]:
-        """ before fallback_low , fuzzy match stop intent
-
-        Args:
-            utterances (list):  list of utterances
-            lang (string):      4 letter ISO language code
-            message (Message):  message to use to generate reply
-
+        """
+        Perform a low-confidence fuzzy match for stop intent before fallback processing.
+        
+        This method attempts to match stop-related vocabulary with low confidence and handle stopping of active skills.
+        
+        Parameters:
+            utterances (List[str]): List of input utterances to match against stop vocabulary
+            lang (str): Four-letter ISO language code for vocabulary matching
+            message (Message): Message context used for generating replies and managing session
+        
         Returns:
-            PipelineMatch if handled otherwise None.
+            Optional[PipelineMatch]: A pipeline match object if a stop action is handled, otherwise None
+        
+        Notes:
+            - Increases confidence if active skills are present
+            - Attempts to stop individual skills before emitting a global stop signal
+            - Handles language-specific vocabulary matching
+            - Configurable minimum confidence threshold for stop intent
         """
         lang = self._get_closest_lang(lang)
         if lang is None:  # no vocs registered for this lang