ff73f7c0e8
本次提交包含两项关键更改： 1. 将 `triggering_user_id` 的设置逻辑从 `ChatterManager` 迁移至 `StreamLoopManager` 的处理循环初期。这确保了触发用户ID能够更早、更可靠地被设置，为回复保护机制提供了正确的上下文，避免了潜在的逻辑错误。 2. 在消息成功打断正在执行的任务后，立即调用 `clear_all_unread_messages`。此举修复了当新消息打断旧任务时，旧消息队列未被清空，导致机器人可能在之后重新处理这些过时消息的缺陷，从而防止了重复响应。
174 lines
7.4 KiB
Python
174 lines
7.4 KiB
Python
import asyncio
|
||
import time
|
||
from typing import Any
|
||
|
||
from src.chat.planner_actions.action_manager import ChatterActionManager
|
||
from src.common.data_models.message_manager_data_model import StreamContext
|
||
from src.common.logger import get_logger
|
||
from src.plugin_system.base.base_chatter import BaseChatter
|
||
from src.plugin_system.base.component_types import ChatType
|
||
|
||
logger = get_logger("chatter_manager")
|
||
|
||
|
||
class ChatterManager:
|
||
def __init__(self, action_manager: ChatterActionManager):
|
||
self.action_manager = action_manager
|
||
self.chatter_classes: dict[ChatType, list[type]] = {}
|
||
self.instances: dict[str, BaseChatter] = {}
|
||
|
||
# 管理器统计
|
||
self.stats = {
|
||
"chatters_registered": 0,
|
||
"streams_processed": 0,
|
||
"successful_executions": 0,
|
||
"failed_executions": 0,
|
||
}
|
||
|
||
def _auto_register_from_component_registry(self):
|
||
"""从组件注册表自动注册已注册的chatter组件"""
|
||
try:
|
||
from src.plugin_system.core.component_registry import component_registry
|
||
|
||
# 获取所有CHATTER类型的组件
|
||
chatter_components = component_registry.get_enabled_chatter_registry()
|
||
for chatter_name, chatter_class in chatter_components.items():
|
||
self.register_chatter(chatter_class)
|
||
logger.info(f"自动注册chatter组件: {chatter_name}")
|
||
except Exception as e:
|
||
logger.warning(f"自动注册chatter组件时发生错误: {e}")
|
||
|
||
def register_chatter(self, chatter_class: type):
|
||
"""注册聊天处理器类"""
|
||
for chat_type in chatter_class.chat_types:
|
||
if chat_type not in self.chatter_classes:
|
||
self.chatter_classes[chat_type] = []
|
||
self.chatter_classes[chat_type].append(chatter_class)
|
||
logger.info(f"注册聊天处理器 {chatter_class.__name__} 支持 {chat_type.value} 聊天类型")
|
||
|
||
self.stats["chatters_registered"] += 1
|
||
|
||
def get_chatter_class(self, chat_type: ChatType) -> type | None:
|
||
"""获取指定聊天类型的聊天处理器类"""
|
||
if chat_type in self.chatter_classes:
|
||
return self.chatter_classes[chat_type][0]
|
||
return None
|
||
|
||
def get_supported_chat_types(self) -> list[ChatType]:
|
||
"""获取支持的聊天类型列表"""
|
||
return list(self.chatter_classes.keys())
|
||
|
||
def get_registered_chatters(self) -> dict[ChatType, list[type]]:
|
||
"""获取已注册的聊天处理器"""
|
||
return self.chatter_classes.copy()
|
||
|
||
def get_stream_instance(self, stream_id: str) -> BaseChatter | None:
|
||
"""获取指定流的聊天处理器实例"""
|
||
return self.instances.get(stream_id)
|
||
|
||
def cleanup_inactive_instances(self, max_inactive_minutes: int = 60):
|
||
"""清理不活跃的实例"""
|
||
current_time = time.time()
|
||
max_inactive_seconds = max_inactive_minutes * 60
|
||
|
||
inactive_streams = []
|
||
for stream_id, instance in self.instances.items():
|
||
if hasattr(instance, "get_activity_time"):
|
||
activity_time = instance.get_activity_time()
|
||
if (current_time - activity_time) > max_inactive_seconds:
|
||
inactive_streams.append(stream_id)
|
||
|
||
for stream_id in inactive_streams:
|
||
del self.instances[stream_id]
|
||
logger.info(f"清理不活跃聊天流实例: {stream_id}")
|
||
|
||
async def process_stream_context(self, stream_id: str, context: StreamContext) -> dict:
|
||
"""处理流上下文"""
|
||
chat_type = context.chat_type
|
||
logger.debug(f"处理流 {stream_id}，聊天类型: {chat_type.value}")
|
||
if not self.chatter_classes:
|
||
self._auto_register_from_component_registry()
|
||
|
||
# 获取适合该聊天类型的chatter
|
||
chatter_class = self.get_chatter_class(chat_type)
|
||
if not chatter_class:
|
||
# 如果没有找到精确匹配，尝试查找支持ALL类型的chatter
|
||
from src.plugin_system.base.component_types import ChatType
|
||
|
||
all_chatter_class = self.get_chatter_class(ChatType.ALL)
|
||
if all_chatter_class:
|
||
chatter_class = all_chatter_class
|
||
logger.info(f"流 {stream_id} 使用通用chatter (类型: {chat_type.value})")
|
||
else:
|
||
raise ValueError(f"No chatter registered for chat type {chat_type}")
|
||
|
||
if stream_id not in self.instances:
|
||
self.instances[stream_id] = chatter_class(stream_id=stream_id, action_manager=self.action_manager)
|
||
logger.info(f"创建新的聊天流实例: {stream_id} 使用 {chatter_class.__name__} (类型: {chat_type.value})")
|
||
|
||
self.stats["streams_processed"] += 1
|
||
try:
|
||
result = await self.instances[stream_id].execute(context)
|
||
|
||
# 检查执行结果是否真正成功
|
||
success = result.get("success", False)
|
||
|
||
if success:
|
||
self.stats["successful_executions"] += 1
|
||
|
||
# 只有真正成功时才清空未读消息
|
||
try:
|
||
from src.chat.message_manager.message_manager import message_manager
|
||
await message_manager.clear_stream_unread_messages(stream_id)
|
||
logger.debug(f"流 {stream_id} 处理成功，已清空未读消息")
|
||
except Exception as clear_e:
|
||
logger.error(f"清除流 {stream_id} 未读消息时发生错误: {clear_e}")
|
||
else:
|
||
self.stats["failed_executions"] += 1
|
||
logger.warning(f"流 {stream_id} 处理失败，不清空未读消息")
|
||
|
||
# 从 mood_manager 获取最新的 chat_stream 并同步回 StreamContext
|
||
try:
|
||
from src.mood.mood_manager import mood_manager
|
||
|
||
mood = mood_manager.get_mood_by_chat_id(stream_id)
|
||
if mood and mood.chat_stream:
|
||
context.chat_stream = mood.chat_stream
|
||
logger.debug(f"已将最新的 chat_stream 同步回流 {stream_id} 的 StreamContext")
|
||
except Exception as sync_e:
|
||
logger.error(f"同步 chat_stream 回 StreamContext 失败: {sync_e}")
|
||
|
||
# 记录处理结果
|
||
actions_count = result.get("actions_count", 0)
|
||
logger.debug(f"流 {stream_id} 处理完成: 成功={success}, 动作数={actions_count}")
|
||
|
||
return result
|
||
except asyncio.CancelledError:
|
||
self.stats["failed_executions"] += 1
|
||
logger.info(f"流 {stream_id} 处理被取消，不清空未读消息")
|
||
context.triggering_user_id = None # 清除触发用户ID
|
||
raise
|
||
except Exception as e:
|
||
self.stats["failed_executions"] += 1
|
||
logger.error(f"处理流 {stream_id} 时发生错误: {e}")
|
||
context.triggering_user_id = None # 清除触发用户ID
|
||
raise
|
||
finally:
|
||
# 清除触发用户ID（所有情况下都需要）
|
||
context.triggering_user_id = None
|
||
def get_stats(self) -> dict[str, Any]:
|
||
"""获取管理器统计信息"""
|
||
stats = self.stats.copy()
|
||
stats["active_instances"] = len(self.instances)
|
||
stats["registered_chatter_types"] = len(self.chatter_classes)
|
||
return stats
|
||
|
||
def reset_stats(self):
|
||
"""重置统计信息"""
|
||
self.stats = {
|
||
"chatters_registered": 0,
|
||
"streams_processed": 0,
|
||
"successful_executions": 0,
|
||
"failed_executions": 0,
|
||
}
|