feat(wecom): add user feedback support for WeChat Work AI Bot (#2078)

* feat(wecom): add user feedback support for WeChat Work AI Bot

This commit implements user feedback functionality (like/dislike) for
WeChat Work AI Bot conversations, including:

Backend changes:
- Add feedback_id and stream_id fields to WecomBotEvent
- Implement feedback event handling in WecomBotClient (api.py)
- Add StreamSessionManager._feedback_index for feedback_id lookup
- Add on_feedback decorator for custom feedback handlers
- Create MonitoringFeedback entity for database persistence
- Add dbm025 migration for monitoring_feedback table
- Implement FeedbackMonitor helper class
- Update all platform adapters with ap parameter support
- Update botmgr to pass bot_info for monitoring context

Frontend changes:
- Add FeedbackCard and FeedbackList components
- Add useFeedbackData hook for feedback data fetching
- Add feedback tab to monitoring page
- Add feedback types and interfaces
- Add i18n translations (zh-Hans, en-US)

Other changes:
- Update Dockerfile with Chinese mirror for faster builds
- Update docker-compose.yaml with network configuration
- Update .gitignore for docker data and backup files

Note: Known issues that need future improvement:
- feedback_type=3 (cancel) is recorded but not properly handled
- Duplicate feedback records are not deduplicated

* chore: remove unnecessary migration for new table will be created automatically

* chore: ruff format

* chore: prettier

* feat: add feedback handling support across multiple platform adapters

* fix(web): remove unused imports and variables in monitoring module

---------

Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>

src/langbot/pkg/platform/botmgr.py

@@ -9,6 +9,7 @@ from ..core import app, entities as core_entities, taskmgr
 from ..discover import engine
 
 from ..entity.persistence import bot as persistence_bot
+from ..entity.persistence import pipeline as persistence_pipeline
 
 from ..entity.errors import platform as platform_errors
 
@@ -141,6 +142,50 @@ class RuntimeBot:
         self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
         self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
 
+        # Register feedback listener (only effective on adapters that support it)
+        async def on_feedback(
+            event: platform_events.FeedbackEvent,
+            adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+        ):
+            try:
+                # Resolve pipeline name
+                pipeline_name = ''
+                if self.bot_entity.use_pipeline_uuid:
+                    try:
+                        pipeline_result = await self.ap.persistence_mgr.execute_async(
+                            sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
+                                persistence_pipeline.LegacyPipeline.uuid == self.bot_entity.use_pipeline_uuid
+                            )
+                        )
+                        pipeline_row = pipeline_result.first()
+                        if pipeline_row:
+                            pipeline_name = pipeline_row[0]
+                    except Exception:
+                        pass
+
+                await self.ap.monitoring_service.record_feedback(
+                    feedback_id=event.feedback_id,
+                    feedback_type=event.feedback_type,
+                    feedback_content=event.feedback_content,
+                    inaccurate_reasons=event.inaccurate_reasons,
+                    bot_id=self.bot_entity.uuid,
+                    bot_name=self.bot_entity.name,
+                    pipeline_id=self.bot_entity.use_pipeline_uuid or '',
+                    pipeline_name=pipeline_name,
+                    session_id=event.session_id,
+                    message_id=event.message_id,
+                    stream_id=event.stream_id,
+                    user_id=event.user_id,
+                    platform=adapter.__class__.__name__,
+                )
+                await self.logger.info(
+                    f'Recorded feedback: feedback_id={event.feedback_id}, type={event.feedback_type}'
+                )
+            except Exception:
+                await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
+
+        self.adapter.register_listener(platform_events.FeedbackEvent, on_feedback)
+
     async def run(self):
         async def exception_wrapper():
             try:

src/langbot/pkg/platform/sources/wecombot.py

@@ -311,6 +311,9 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 self.bot.on_message('single')(self.on_message)
             elif event_type == platform_events.GroupMessage:
                 self.bot.on_message('group')(self.on_message)
+            elif event_type == platform_events.FeedbackEvent:
+                if hasattr(self.bot, 'on_feedback'):
+                    self.bot.on_feedback()(self._on_feedback)
         except Exception:
             print(traceback.format_exc())
 
@@ -318,6 +321,45 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         """设置 bot UUID（用于生成 webhook URL）"""
         self.bot_uuid = bot_uuid
 
+    async def _on_feedback(self, **kwargs):
+        """Handle feedback event from WeChat Work AI Bot SDK and dispatch as FeedbackEvent."""
+        try:
+            feedback_id = kwargs.get('feedback_id', '')
+            feedback_type = kwargs.get('feedback_type', 0)
+            feedback_content = kwargs.get('feedback_content', '') or None
+            inaccurate_reasons = kwargs.get('inaccurate_reasons', []) or None
+            session = kwargs.get('session')
+
+            session_id = None
+            user_id = None
+            message_id = None
+            stream_id = None
+            if session:
+                if session.chat_id:
+                    session_id = f'group_{session.chat_id}'
+                elif session.user_id:
+                    session_id = f'person_{session.user_id}'
+                user_id = session.user_id
+                message_id = session.msg_id
+                stream_id = session.stream_id
+
+            event = platform_events.FeedbackEvent(
+                feedback_id=feedback_id,
+                feedback_type=feedback_type,
+                feedback_content=feedback_content,
+                inaccurate_reasons=inaccurate_reasons,
+                user_id=user_id,
+                session_id=session_id,
+                message_id=message_id,
+                stream_id=stream_id,
+                source_platform_object=session,
+            )
+
+            if platform_events.FeedbackEvent in self.listeners:
+                await self.listeners[platform_events.FeedbackEvent](event, self)
+        except Exception:
+            await self.logger.error(f'Error in wecombot feedback callback: {traceback.format_exc()}')
+
     async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
         _ws_mode = not self.config.get('enable-webhook', False)
         if _ws_mode: