mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-05 05:16:03 +00:00
6bb73297e0
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
354 lines
13 KiB
Python
354 lines
13 KiB
Python
from __future__ import annotations
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import asyncio
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import traceback
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import sqlalchemy
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from ..core import app, entities as core_entities, taskmgr
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from ..discover import engine
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from ..entity.persistence import bot as persistence_bot
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from ..entity.persistence import pipeline as persistence_pipeline
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from ..entity.errors import platform as platform_errors
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from .logger import EventLogger
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import langbot_plugin.api.entities.builtin.provider.session as provider_session
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import langbot_plugin.api.entities.builtin.platform.events as platform_events
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
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class RuntimeBot:
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"""运行时机器人"""
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ap: app.Application
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bot_entity: persistence_bot.Bot
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enable: bool
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adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter
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task_wrapper: taskmgr.TaskWrapper
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task_context: taskmgr.TaskContext
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logger: EventLogger
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def __init__(
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self,
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ap: app.Application,
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bot_entity: persistence_bot.Bot,
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adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
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logger: EventLogger,
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):
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self.ap = ap
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self.bot_entity = bot_entity
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self.enable = bot_entity.enable
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self.adapter = adapter
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self.task_context = taskmgr.TaskContext()
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self.logger = logger
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async def initialize(self):
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async def on_friend_message(
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event: platform_events.FriendMessage,
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adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
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):
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image_components = [
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component for component in event.message_chain if isinstance(component, platform_message.Image)
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]
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await self.logger.info(
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f'{event.message_chain}',
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images=image_components,
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message_session_id=f'person_{event.sender.id}',
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)
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# Push to webhooks and check if pipeline should be skipped
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skip_pipeline = False
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if hasattr(self.ap, 'webhook_pusher') and self.ap.webhook_pusher:
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skip_pipeline = await self.ap.webhook_pusher.push_person_message(
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event, self.bot_entity.uuid, adapter.__class__.__name__
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)
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# Only add to query pool if no webhook requested to skip pipeline
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if not skip_pipeline:
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launcher_id = event.sender.id
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if hasattr(adapter, 'get_launcher_id'):
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custom_launcher_id = adapter.get_launcher_id(event)
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if custom_launcher_id:
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launcher_id = custom_launcher_id
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await self.ap.msg_aggregator.add_message(
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bot_uuid=self.bot_entity.uuid,
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launcher_type=provider_session.LauncherTypes.PERSON,
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launcher_id=launcher_id,
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sender_id=event.sender.id,
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message_event=event,
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message_chain=event.message_chain,
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adapter=adapter,
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pipeline_uuid=self.bot_entity.use_pipeline_uuid,
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)
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else:
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await self.logger.info('Pipeline skipped for person message due to webhook response')
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async def on_group_message(
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event: platform_events.GroupMessage,
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adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
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):
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image_components = [
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component for component in event.message_chain if isinstance(component, platform_message.Image)
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]
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await self.logger.info(
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f'{event.message_chain}',
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images=image_components,
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message_session_id=f'group_{event.group.id}',
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)
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# Push to webhooks and check if pipeline should be skipped
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skip_pipeline = False
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if hasattr(self.ap, 'webhook_pusher') and self.ap.webhook_pusher:
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skip_pipeline = await self.ap.webhook_pusher.push_group_message(
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event, self.bot_entity.uuid, adapter.__class__.__name__
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)
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# Only add to query pool if no webhook requested to skip pipeline
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if not skip_pipeline:
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launcher_id = event.group.id
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if hasattr(adapter, 'get_launcher_id'):
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custom_launcher_id = adapter.get_launcher_id(event)
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if custom_launcher_id:
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launcher_id = custom_launcher_id
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await self.ap.msg_aggregator.add_message(
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bot_uuid=self.bot_entity.uuid,
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launcher_type=provider_session.LauncherTypes.GROUP,
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launcher_id=launcher_id,
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sender_id=event.sender.id,
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message_event=event,
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message_chain=event.message_chain,
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adapter=adapter,
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pipeline_uuid=self.bot_entity.use_pipeline_uuid,
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)
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else:
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await self.logger.info('Pipeline skipped for group message due to webhook response')
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self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
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self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
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async def run(self):
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async def exception_wrapper():
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try:
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self.task_context.set_current_action('Running...')
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await self.adapter.run_async()
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self.task_context.set_current_action('Exited.')
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except Exception as e:
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if isinstance(e, asyncio.CancelledError):
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self.task_context.set_current_action('Exited.')
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return
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traceback_str = traceback.format_exc()
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self.task_context.set_current_action('Exited with error.')
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await self.logger.error(f'平台适配器运行出错:\n{e}\n{traceback_str}')
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self.task_wrapper = self.ap.task_mgr.create_task(
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exception_wrapper(),
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kind='platform-adapter',
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name=f'platform-adapter-{self.adapter.__class__.__name__}',
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context=self.task_context,
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scopes=[
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core_entities.LifecycleControlScope.APPLICATION,
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core_entities.LifecycleControlScope.PLATFORM,
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],
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)
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async def shutdown(self):
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await self.adapter.kill()
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self.ap.task_mgr.cancel_task(self.task_wrapper.id)
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# 控制QQ消息输入输出的类
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class PlatformManager:
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# ====== 4.0 ======
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ap: app.Application = None
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bots: list[RuntimeBot]
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websocket_proxy_bot: RuntimeBot
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adapter_components: list[engine.Component]
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adapter_dict: dict[str, type[abstract_platform_adapter.AbstractMessagePlatformAdapter]]
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def __init__(self, ap: app.Application = None):
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self.ap = ap
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self.bots = []
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self.adapter_components = []
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self.adapter_dict = {}
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async def initialize(self):
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# delete all bot log images
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await self.ap.storage_mgr.storage_provider.delete_dir_recursive('bot_log_images')
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self.adapter_components = self.ap.discover.get_components_by_kind('MessagePlatformAdapter')
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adapter_dict: dict[str, type[abstract_platform_adapter.AbstractMessagePlatformAdapter]] = {}
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for component in self.adapter_components:
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adapter_dict[component.metadata.name] = component.get_python_component_class()
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self.adapter_dict = adapter_dict
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# initialize websocket adapter
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websocket_adapter_class = self.adapter_dict['websocket']
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websocket_logger = EventLogger(name='websocket-adapter', ap=self.ap)
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websocket_adapter_inst = websocket_adapter_class(
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{},
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websocket_logger,
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ap=self.ap,
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)
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self.websocket_proxy_bot = RuntimeBot(
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ap=self.ap,
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bot_entity=persistence_bot.Bot(
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uuid='websocket-proxy-bot',
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name='WebSocket',
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description='',
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adapter='websocket',
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adapter_config={},
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enable=True,
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),
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adapter=websocket_adapter_inst,
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logger=websocket_logger,
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)
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await self.websocket_proxy_bot.initialize()
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await self.load_bots_from_db()
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def get_running_adapters(self) -> list[abstract_platform_adapter.AbstractMessagePlatformAdapter]:
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return [bot.adapter for bot in self.bots if bot.enable]
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async def load_bots_from_db(self):
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self.ap.logger.info('Loading bots from db...')
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self.bots = []
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result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_bot.Bot))
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bots = result.all()
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for bot in bots:
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# load all bots here, enable or disable will be handled in runtime
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try:
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await self.load_bot(bot)
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except platform_errors.AdapterNotFoundError as e:
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self.ap.logger.warning(f'Adapter {e.adapter_name} not found, skipping bot {bot.uuid}')
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except Exception as e:
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self.ap.logger.error(f'Failed to load bot {bot.uuid}: {e}\n{traceback.format_exc()}')
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async def load_bot(
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self,
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bot_entity: persistence_bot.Bot | sqlalchemy.Row[persistence_bot.Bot] | dict,
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) -> RuntimeBot:
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"""加载机器人"""
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if isinstance(bot_entity, sqlalchemy.Row):
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bot_entity = persistence_bot.Bot(**bot_entity._mapping)
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elif isinstance(bot_entity, dict):
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bot_entity = persistence_bot.Bot(**bot_entity)
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logger = EventLogger(name=f'platform-adapter-{bot_entity.name}', ap=self.ap)
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if bot_entity.adapter not in self.adapter_dict:
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raise platform_errors.AdapterNotFoundError(bot_entity.adapter)
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adapter_inst = self.adapter_dict[bot_entity.adapter](
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bot_entity.adapter_config,
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logger,
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ap=self.ap,
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)
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# 如果 adapter 支持 set_bot_uuid 方法，设置 bot_uuid（用于统一 webhook）
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if hasattr(adapter_inst, 'set_bot_uuid'):
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adapter_inst.set_bot_uuid(bot_entity.uuid)
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# 如果 adapter 支持 set_bot_info 方法，设置 bot 信息（用于监控记录）
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if hasattr(adapter_inst, 'set_bot_info'):
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pipeline_name = ''
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if bot_entity.use_pipeline_uuid:
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try:
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pipeline_result = await self.ap.persistence_mgr.execute_async(
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sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
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persistence_pipeline.LegacyPipeline.uuid == bot_entity.use_pipeline_uuid
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)
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)
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pipeline_row = pipeline_result.first()
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if pipeline_row:
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pipeline_name = pipeline_row[0]
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except Exception:
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pass
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adapter_inst.set_bot_info(
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bot_id=bot_entity.uuid,
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bot_name=bot_entity.name,
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pipeline_id=bot_entity.use_pipeline_uuid or '',
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pipeline_name=pipeline_name,
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)
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runtime_bot = RuntimeBot(ap=self.ap, bot_entity=bot_entity, adapter=adapter_inst, logger=logger)
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await runtime_bot.initialize()
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self.bots.append(runtime_bot)
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return runtime_bot
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async def get_bot_by_uuid(self, bot_uuid: str) -> RuntimeBot | None:
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if self.websocket_proxy_bot and self.websocket_proxy_bot.bot_entity.uuid == bot_uuid:
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return self.websocket_proxy_bot
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for bot in self.bots:
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if bot.bot_entity.uuid == bot_uuid:
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return bot
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return None
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async def remove_bot(self, bot_uuid: str):
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for bot in self.bots:
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if bot.bot_entity.uuid == bot_uuid:
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if bot.enable:
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await bot.shutdown()
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self.bots.remove(bot)
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return
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def get_available_adapters_info(self) -> list[dict]:
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return [
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component.to_plain_dict() for component in self.adapter_components if component.metadata.name != 'websocket'
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]
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def get_available_adapter_info_by_name(self, name: str) -> dict | None:
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for component in self.adapter_components:
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if component.metadata.name == name:
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return component.to_plain_dict()
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return None
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def get_available_adapter_manifest_by_name(self, name: str) -> engine.Component | None:
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for component in self.adapter_components:
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if component.metadata.name == name:
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return component
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return None
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async def run(self):
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# This method will only be called when the application launching
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await self.websocket_proxy_bot.run()
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for bot in self.bots:
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if bot.enable:
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await bot.run()
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async def shutdown(self):
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for bot in self.bots:
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if bot.enable:
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await bot.shutdown()
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self.ap.task_mgr.cancel_by_scope(core_entities.LifecycleControlScope.PLATFORM)
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