🤖 自动格式化代码 [skip ci]

pull/937/head
github-actions[bot] 2025-05-08 11:32:55 +00:00
parent 38adeadc47
commit 19d1da1ec8
8 changed files with 237 additions and 230 deletions

View File

@ -12,9 +12,9 @@ from .idle_chat_manager import IdleChatManager
from .idle_conversation import IdleConversation, get_idle_conversation_instance, initialize_idle_conversation
__all__ = [
'IdleChat',
'IdleChatManager',
'IdleConversation',
'get_idle_conversation_instance',
'initialize_idle_conversation'
]
"IdleChat",
"IdleChatManager",
"IdleConversation",
"get_idle_conversation_instance",
"initialize_idle_conversation",
]

View File

@ -22,32 +22,33 @@ install(extra_lines=3)
logger = get_logger("pfc_idle_chat")
class IdleChat:
"""主动聊天组件(测试中)
在以下条件都满足时触发主动聊天
1. 当前没有任何活跃的对话实例
2. 在指定的活动时间内7:00-23:00
3. 根据关系值动态调整触发概率
4. 上次触发后已经过了足够的冷却时间
"""
# 单例模式实现
_instances: Dict[str, 'IdleChat'] = {}
_instances: Dict[str, "IdleChat"] = {}
# 全局共享状态,用于跟踪未回复的用户
_pending_replies: Dict[str, float] = {} # 用户名 -> 发送时间
_tried_users: Set[str] = set() # 已尝试过的用户集合
_global_lock = asyncio.Lock() # 保护共享状态的全局锁
@classmethod
def get_instance(cls, stream_id: str, private_name: str) -> 'IdleChat':
def get_instance(cls, stream_id: str, private_name: str) -> "IdleChat":
"""获取IdleChat实例单例模式
Args:
stream_id: 聊天流ID
private_name: 私聊用户名称
Returns:
IdleChat: IdleChat实例
"""
@ -58,13 +59,13 @@ class IdleChat:
cls._instances[key].start()
logger.info(f"[私聊][{private_name}]创建新的IdleChat实例并启动")
return cls._instances[key]
@classmethod
async def register_user_response(cls, private_name: str) -> None:
"""注册用户已回复
当用户回复消息时调用此方法将用户从待回复列表中移除
Args:
private_name: 私聊用户名称
"""
@ -72,39 +73,39 @@ class IdleChat:
if private_name in cls._pending_replies:
del cls._pending_replies[private_name]
logger.info(f"[私聊][{private_name}]已回复主动聊天消息,从待回复列表中移除")
@classmethod
async def get_next_available_user(cls) -> Optional[str]:
"""获取下一个可用于主动聊天的用户
优先选择未尝试过的用户其次是已尝试但超时未回复的用户
Returns:
Optional[str]: 下一个可用的用户名如果没有则返回None
"""
async with cls._global_lock:
current_time = time.time()
timeout_threshold = 7200 # 2小时未回复视为超时
# 清理超时未回复的用户
for user, send_time in list(cls._pending_replies.items()):
if current_time - send_time > timeout_threshold:
logger.info(f"[私聊][{user}]超过{timeout_threshold}秒未回复,标记为超时")
del cls._pending_replies[user]
# 获取所有实例中的用户
all_users = set()
for key in cls._instances:
user = key.split(':', 1)[0]
user = key.split(":", 1)[0]
all_users.add(user)
# 优先选择未尝试过的用户
untried_users = all_users - cls._tried_users
if untried_users:
next_user = random.choice(list(untried_users))
cls._tried_users.add(next_user)
return next_user
# 如果所有用户都已尝试过,重置尝试集合,从头开始
if len(cls._tried_users) >= len(all_users):
cls._tried_users.clear()
@ -115,9 +116,9 @@ class IdleChat:
next_user = random.choice(list(available_users))
cls._tried_users.add(next_user)
return next_user
return None
def __init__(self, stream_id: str, private_name: str):
"""初始化主动聊天组件
@ -129,99 +130,95 @@ class IdleChat:
self.private_name = private_name
self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
self.message_sender = DirectMessageSender(private_name)
# 添加异步锁,保护对共享变量的访问
self._lock: asyncio.Lock = asyncio.Lock()
# LLM请求对象用于生成主动对话内容
self.llm = LLMRequest(
model=global_config.llm_normal,
temperature=0.5,
max_tokens=500,
request_type="idle_chat"
)
self.llm = LLMRequest(model=global_config.llm_normal, temperature=0.5, max_tokens=500, request_type="idle_chat")
# 工作状态
self.active_instances_count: int = 0
self.last_trigger_time: float = time.time() - 1500 # 初始化时减少等待时间
self._running: bool = False
self._task: Optional[asyncio.Task] = None
# 配置参数 - 从global_config加载
self.min_cooldown = getattr(global_config,"MIN_IDLE_TIME", 7200) # 最短冷却时间默认2小时建议修改长一点你也不希望你的bot一直骚扰你吧
self.min_cooldown = getattr(
global_config, "MIN_IDLE_TIME", 7200
) # 最短冷却时间默认2小时建议修改长一点你也不希望你的bot一直骚扰你吧
self.max_cooldown = getattr(global_config, "MAX_IDLE_TIME", 14400) # 最长冷却时间默认4小时
self.min_idle_time = getattr(global_config, "MIN_IDLE_TIME", 3600)
self.min_idle_time = getattr(global_config, "MIN_IDLE_TIME", 3600)
self.check_interval = getattr(global_config, "IDLE_CHECK_INTERVAL", 600) # 检查间隔默认10分钟
self.active_hours_start = 6 # 活动开始时间
self.active_hours_end = 24 # 活动结束时间
self.active_hours_end = 24 # 活动结束时间
# 关系值相关
self.base_trigger_probability = 0.3 # 基础触发概率
self.relationship_factor = 0.0003 # 关系值影响因子
self.relationship_factor = 0.0003 # 关系值影响因子
def start(self) -> None:
"""启动主动聊天检测"""
# 检查是否启用了主动聊天功能
if not getattr(global_config, "ENABLE_IDLE_CONVERSATION", False):
logger.info(f"[私聊][{self.private_name}]主动聊天功能已禁用配置ENABLE_IDLE_CONVERSATION=False")
return
if self._running:
logger.debug(f"[私聊][{self.private_name}]主动聊天功能已在运行中")
return
self._running = True
self._task = asyncio.create_task(self._check_idle_loop())
logger.info(f"[私聊][{self.private_name}]启动主动聊天检测")
def stop(self) -> None:
"""停止主动聊天检测
"""
"""停止主动聊天检测"""
if not self._running:
return
self._running = False
if self._task:
self._task.cancel()
self._task = None
logger.info(f"[私聊][{self.private_name}]停止主动聊天检测")
async def increment_active_instances(self) -> None:
"""增加活跃实例计数
当创建新的对话实例时调用此方法
"""
async with self._lock:
self.active_instances_count += 1
logger.debug(f"[私聊][{self.private_name}]活跃实例数+1当前{self.active_instances_count}")
async def decrement_active_instances(self) -> None:
"""减少活跃实例计数
当对话实例结束时调用此方法
"""
async with self._lock:
self.active_instances_count = max(0, self.active_instances_count - 1)
logger.debug(f"[私聊][{self.private_name}]活跃实例数-1当前{self.active_instances_count}")
async def update_last_message_time(self, message_time: Optional[float] = None) -> None:
"""更新最后一条消息的时间
Args:
message_time: 消息时间戳如果为None则使用当前时间
"""
async with self._lock:
self.last_trigger_time = message_time or time.time()
logger.debug(f"[私聊][{self.private_name}]更新最后消息时间: {self.last_trigger_time:.2f}")
# 当用户发送消息时,也应该注册响应
await self.__class__.register_user_response(self.private_name)
def _is_active_hours(self) -> bool:
"""检查是否在活动时间内"""
current_hour = datetime.now().hour
return self.active_hours_start <= current_hour < self.active_hours_end
async def _should_trigger(self) -> bool:
"""检查是否应该触发主动聊天"""
async with self._lock:
@ -229,25 +226,27 @@ class IdleChat:
if self.active_instances_count < 0:
logger.warning(f"[私聊][{self.private_name}]检测到活跃实例数为负数重置为0")
self.active_instances_count = 0
# 检查是否有活跃实例
if self.active_instances_count > 0:
logger.debug(f"[私聊][{self.private_name}]存在活跃实例({self.active_instances_count}),不触发主动聊天")
return False
# 检查是否在活动时间内
if not self._is_active_hours():
logger.debug(f"[私聊][{self.private_name}]不在活动时间内,不触发主动聊天")
return False
# 检查冷却时间
current_time = time.time()
time_since_last_trigger = current_time - self.last_trigger_time
if time_since_last_trigger < self.min_cooldown:
time_left = self.min_cooldown - time_since_last_trigger
logger.debug(f"[私聊][{self.private_name}]冷却时间未到(已过{time_since_last_trigger:.0f}秒/需要{self.min_cooldown}秒),还需等待{time_left:.0f}秒,不触发主动聊天")
logger.debug(
f"[私聊][{self.private_name}]冷却时间未到(已过{time_since_last_trigger:.0f}秒/需要{self.min_cooldown}秒),还需等待{time_left:.0f}秒,不触发主动聊天"
)
return False
# 强制触发检查 - 如果超过最大冷却时间,增加触发概率
force_trigger = False
if time_since_last_trigger > self.max_cooldown * 2: # 如果超过最大冷却时间的两倍
@ -255,9 +254,11 @@ class IdleChat:
random_force = random.random()
force_trigger = random_force < force_probability
if force_trigger:
logger.info(f"[私聊][{self.private_name}]超过最大冷却时间({time_since_last_trigger:.0f}秒),强制触发主动聊天")
logger.info(
f"[私聊][{self.private_name}]超过最大冷却时间({time_since_last_trigger:.0f}秒),强制触发主动聊天"
)
return True
# 获取关系值
relationship_value = 0
try:
@ -270,10 +271,10 @@ class IdleChat:
# 先尝试通过昵称获取person_id
platform = "qq" # 默认平台
person_id = person_info_manager.get_person_id(platform, self.private_name)
# 如果通过昵称获取失败尝试通过stream_id解析
if not person_id:
parts = self.stream_id.split('_')
parts = self.stream_id.split("_")
if len(parts) >= 2 and parts[0] == "private":
user_id = parts[1]
platform = parts[2] if len(parts) >= 3 else "qq"
@ -284,7 +285,7 @@ class IdleChat:
person_id = person_info_manager.get_person_id(platform, user_id)
except Exception as e2:
logger.warning(f"[私聊][{self.private_name}]尝试获取person_id失败: {str(e2)}")
# 获取关系值
if person_id:
raw_value = await person_info_manager.get_value(person_id, "relationship_value")
@ -292,51 +293,61 @@ class IdleChat:
logger.debug(f"[私聊][{self.private_name}]成功获取关系值: {relationship_value}")
else:
logger.warning(f"[私聊][{self.private_name}]无法获取person_id使用默认关系值0")
# 使用PfcRepationshipTranslator获取关系描述
relationship_translator = PfcRepationshipTranslator(self.private_name)
relationship_level = relationship_translator._calculate_relationship_level_num(relationship_value, self.private_name)
relationship_level = relationship_translator._calculate_relationship_level_num(
relationship_value, self.private_name
)
# 基于关系等级调整触发概率
# 关系越好,主动聊天概率越高
level_probability_factors = [0.05, 0.1, 0.2, 0.3, 0.4, 0.5] # 每个等级对应的基础概率因子
base_probability = level_probability_factors[relationship_level]
# 基础概率因子
trigger_probability = base_probability
trigger_probability = max(0.05, min(0.6, trigger_probability)) # 限制在0.05-0.6之间
# 最大冷却时间调整 - 随着冷却时间增加,逐渐增加触发概率
if time_since_last_trigger > self.max_cooldown:
# 计算额外概率 - 每超过最大冷却时间的10%增加1%的概率最多增加30%
extra_time_factor = min(0.3, (time_since_last_trigger - self.max_cooldown) / (self.max_cooldown * 10))
extra_time_factor = min(
0.3, (time_since_last_trigger - self.max_cooldown) / (self.max_cooldown * 10)
)
trigger_probability += extra_time_factor
logger.debug(f"[私聊][{self.private_name}]超过标准冷却时间,额外增加概率: +{extra_time_factor:.2f}")
# 随机判断是否触发
random_value = random.random()
should_trigger = random_value < trigger_probability
logger.debug(f"[私聊][{self.private_name}]触发概率计算: 基础({base_probability:.2f}) + 关系值({relationship_value})影响 = {trigger_probability:.2f},随机值={random_value:.2f}, 结果={should_trigger}")
logger.debug(
f"[私聊][{self.private_name}]触发概率计算: 基础({base_probability:.2f}) + 关系值({relationship_value})影响 = {trigger_probability:.2f},随机值={random_value:.2f}, 结果={should_trigger}"
)
# 如果决定触发,记录详细日志
if should_trigger:
logger.info(f"[私聊][{self.private_name}]决定触发主动聊天: 触发概率={trigger_probability:.2f}, 距上次已过{time_since_last_trigger:.0f}")
logger.info(
f"[私聊][{self.private_name}]决定触发主动聊天: 触发概率={trigger_probability:.2f}, 距上次已过{time_since_last_trigger:.0f}"
)
return should_trigger
except Exception as e:
logger.error(f"[私聊][{self.private_name}]获取关系值失败: {str(e)}")
logger.error(traceback.format_exc())
# 即使获取关系值失败,仍有一个基础的几率触发
# 这确保即使数据库有问题,主动聊天功能仍然可用
base_fallback_probability = 0.1 # 较低的基础几率
random_fallback = random.random()
fallback_trigger = random_fallback < base_fallback_probability
if fallback_trigger:
logger.info(f"[私聊][{self.private_name}]获取关系值失败,使用后备触发机制: 概率={base_fallback_probability:.2f}, 决定={fallback_trigger}")
logger.info(
f"[私聊][{self.private_name}]获取关系值失败,使用后备触发机制: 概率={base_fallback_probability:.2f}, 决定={fallback_trigger}"
)
return fallback_trigger
async def _check_idle_loop(self) -> None:
"""检查空闲状态的循环"""
try:
@ -346,16 +357,16 @@ class IdleChat:
# 如果禁用了功能,等待一段时间后再次检查配置
await asyncio.sleep(60) # 每分钟检查一次配置变更
continue
# 检查当前用户是否应该触发主动聊天
should_trigger = await self._should_trigger()
# 如果当前用户不触发,检查是否有其他用户已经超时未回复
if not should_trigger:
async with self.__class__._global_lock:
current_time = time.time()
pending_timeout = 1800 # 30分钟未回复检查
# 检查此用户是否在等待回复列表中
if self.private_name in self.__class__._pending_replies:
logger.debug(f"[私聊][{self.private_name}]当前用户在等待回复列表中,不进行额外检查")
@ -365,12 +376,12 @@ class IdleChat:
for user, send_time in self.__class__._pending_replies.items():
if current_time - send_time > pending_timeout:
timed_out_users.append(user)
# 如果有超时未回复的用户,尝试找下一个用户
if timed_out_users:
logger.info(f"[私聊]发现{len(timed_out_users)}个用户超过{pending_timeout}秒未回复")
next_user = await self.__class__.get_next_available_user()
if next_user and next_user != self.private_name:
logger.info(f"[私聊]选择下一个用户[{next_user}]进行主动聊天")
# 查找该用户的实例并触发聊天
@ -380,7 +391,7 @@ class IdleChat:
# 触发该实例的主动聊天
asyncio.create_task(instance._initiate_chat())
break
# 如果当前用户应该触发主动聊天
if should_trigger:
try:
@ -388,7 +399,7 @@ class IdleChat:
# 更新上次触发时间
async with self._lock:
self.last_trigger_time = time.time()
# 将此用户添加到等待回复列表中
async with self.__class__._global_lock:
self.__class__._pending_replies[self.private_name] = time.time()
@ -397,12 +408,12 @@ class IdleChat:
except Exception as e:
logger.error(f"[私聊][{self.private_name}]执行主动聊天过程出错: {str(e)}")
logger.error(traceback.format_exc())
# 等待下一次检查
check_interval = self.check_interval # 使用配置的检查间隔
logger.debug(f"[私聊][{self.private_name}]等待{check_interval}秒后进行下一次主动聊天检查")
await asyncio.sleep(check_interval)
except asyncio.CancelledError:
logger.debug(f"[私聊][{self.private_name}]主动聊天检测任务被取消")
except Exception as e:
@ -412,24 +423,25 @@ class IdleChat:
if self._running:
logger.info(f"[私聊][{self.private_name}]尝试重新启动主动聊天检测")
self._task = asyncio.create_task(self._check_idle_loop())
async def _get_chat_stream(self) -> Optional[ChatStream]:
"""获取聊天流实例"""
try:
# 尝试从全局聊天管理器获取现有的聊天流
from src.plugins.chat.chat_stream import chat_manager
existing_chat_stream = chat_manager.get_stream(self.stream_id)
if existing_chat_stream:
logger.debug(f"[私聊][{self.private_name}]从chat_manager找到现有聊天流")
return existing_chat_stream
# 如果没有现有聊天流,则创建新的
logger.debug(f"[私聊][{self.private_name}]未找到现有聊天流,创建新聊天流")
# 创建用户信息对象
user_info = UserInfo(
user_id=self.private_name, # 使用私聊用户的ID
user_nickname=self.private_name, # 使用私聊用户的名称
platform="qq"
platform="qq",
)
# 创建聊天流
new_stream = ChatStream(self.stream_id, "qq", user_info)
@ -441,23 +453,19 @@ class IdleChat:
logger.error(f"[私聊][{self.private_name}]创建/获取聊天流失败: {str(e)}")
logger.error(traceback.format_exc())
return None
async def _initiate_chat(self) -> None:
"""生成并发送主动聊天消息"""
try:
# 获取聊天历史记录
messages = self.chat_observer.get_cached_messages(limit=12)
chat_history_text = await build_readable_messages(
messages,
replace_bot_name=True,
merge_messages=False,
timestamp_mode="relative",
read_mark=0.0
messages, replace_bot_name=True, merge_messages=False, timestamp_mode="relative", read_mark=0.0
)
# 获取关系信息
from src.plugins.person_info.relationship_manager import relationship_manager
# 获取关系值
relationship_value = 0
try:
@ -468,23 +476,25 @@ class IdleChat:
relationship_value = relationship_manager.ensure_float(raw_value, person_id)
except Exception as e:
logger.warning(f"[私聊][{self.private_name}]获取关系值失败,使用默认值: {e}")
# 使用PfcRepationshipTranslator获取关系描述
relationship_translator = PfcRepationshipTranslator(self.private_name)
full_relationship_text = await relationship_translator.translate_relationship_value_to_text(relationship_value)
full_relationship_text = await relationship_translator.translate_relationship_value_to_text(
relationship_value
)
# 提取纯关系描述(去掉"你们的关系是:"前缀)
relationship_description = "普通" # 默认值
if "" in full_relationship_text:
relationship_description = full_relationship_text.split("")[1].replace("", "")
if global_config.ENABLE_SCHEDULE_GEN:
schedule_prompt = await global_prompt_manager.format_prompt(
"schedule_prompt", schedule_info=bot_schedule.get_current_num_task(num=1, time_info=False)
)
"schedule_prompt", schedule_info=bot_schedule.get_current_num_task(num=1, time_info=False)
)
else:
schedule_prompt = ""
# 构建提示词
current_time = datetime.now().strftime("%H:%M")
prompt = f"""你是{global_config.BOT_NICKNAME}
@ -500,14 +510,11 @@ class IdleChat:
请直接输出一条消息不要有任何额外的解释或引导文字
消息内容尽量简短
"""
# 生成回复
logger.debug(f"[私聊][{self.private_name}]开始生成主动聊天内容")
try:
content, _ = await asyncio.wait_for(
self.llm.generate_response_async(prompt),
timeout=30
)
content, _ = await asyncio.wait_for(self.llm.generate_response_async(prompt), timeout=30)
logger.debug(f"[私聊][{self.private_name}]成功生成主动聊天内容: {content}")
except asyncio.TimeoutError:
logger.error(f"[私聊][{self.private_name}]生成主动聊天内容超时")
@ -516,34 +523,30 @@ class IdleChat:
logger.error(f"[私聊][{self.private_name}]生成主动聊天内容失败: {str(llm_err)}")
logger.error(traceback.format_exc())
return
# 清理结果
content = content.strip()
content = content.strip("\"'")
if not content:
logger.error(f"[私聊][{self.private_name}]生成的主动聊天内容为空")
return
# 获取聊天流
chat_stream = await self._get_chat_stream()
if not chat_stream:
logger.error(f"[私聊][{self.private_name}]无法获取有效的聊天流,取消发送主动消息")
return
# 发送消息
try:
logger.debug(f"[私聊][{self.private_name}]准备发送主动聊天消息: {content}")
await self.message_sender.send_message(
chat_stream=chat_stream,
content=content,
reply_to_message=None
)
await self.message_sender.send_message(chat_stream=chat_stream, content=content, reply_to_message=None)
logger.info(f"[私聊][{self.private_name}]成功主动发起聊天: {content}")
except Exception as e:
logger.error(f"[私聊][{self.private_name}]发送主动聊天消息失败: {str(e)}")
logger.error(traceback.format_exc())
except Exception as e:
logger.error(f"[私聊][{self.private_name}]主动发起聊天过程中发生未预期的错误: {str(e)}")
logger.error(traceback.format_exc())
logger.error(traceback.format_exc())

View File

@ -6,21 +6,22 @@ import traceback
logger = get_logger("pfc_idle_chat_manager")
class IdleChatManager:
"""空闲聊天管理器
用于管理所有私聊用户的空闲聊天实例
采用单例模式确保全局只有一个管理器实例
"""
_instance: Optional["IdleChatManager"] = None
_lock: asyncio.Lock = asyncio.Lock()
def __init__(self):
"""初始化空闲聊天管理器"""
self._idle_chats: Dict[str, IdleChat] = {} # stream_id -> IdleChat
self._active_conversations_count: Dict[str, int] = {} # stream_id -> count
@classmethod
def get_instance(cls) -> "IdleChatManager":
"""获取管理器单例 (同步版本)
@ -32,7 +33,7 @@ class IdleChatManager:
# 在同步环境中创建实例
cls._instance = cls()
return cls._instance
@classmethod
async def get_instance_async(cls) -> "IdleChatManager":
"""获取管理器单例 (异步版本)
@ -45,7 +46,7 @@ class IdleChatManager:
if not cls._instance:
cls._instance = cls()
return cls._instance
async def get_or_create_idle_chat(self, stream_id: str, private_name: str) -> IdleChat:
"""获取或创建空闲聊天实例
@ -65,7 +66,7 @@ class IdleChatManager:
idle_chat.start() # 启动空闲检测
logger.info(f"[私聊][{private_name}]创建并启动新的空闲聊天实例")
return self._idle_chats[stream_id]
async def remove_idle_chat(self, stream_id: str) -> None:
"""移除空闲聊天实例
@ -79,7 +80,7 @@ class IdleChatManager:
if stream_id in self._active_conversations_count:
del self._active_conversations_count[stream_id]
logger.info(f"[私聊][{idle_chat.private_name}]移除空闲聊天实例")
async def notify_conversation_start(self, stream_id: str) -> None:
"""通知对话开始
@ -96,15 +97,15 @@ class IdleChatManager:
if len(parts) >= 2:
private_name = parts[1] # 取第二部分作为名称
await self.get_or_create_idle_chat(stream_id, private_name)
if stream_id not in self._active_conversations_count:
self._active_conversations_count[stream_id] = 0
# 增加计数前记录当前值,用于日志
old_count = self._active_conversations_count[stream_id]
self._active_conversations_count[stream_id] += 1
new_count = self._active_conversations_count[stream_id]
# 确保IdleChat实例存在
idle_chat = self._idle_chats.get(stream_id)
if idle_chat:
@ -115,7 +116,7 @@ class IdleChatManager:
except Exception as e:
logger.error(f"对话开始通知处理失败: {stream_id}, 错误: {e}")
logger.error(traceback.format_exc())
async def notify_conversation_end(self, stream_id: str) -> None:
"""通知对话结束
@ -125,16 +126,16 @@ class IdleChatManager:
try:
# 记录当前计数用于日志
old_count = self._active_conversations_count.get(stream_id, 0)
# 安全减少计数,避免负数
if stream_id in self._active_conversations_count and self._active_conversations_count[stream_id] > 0:
self._active_conversations_count[stream_id] -= 1
else:
# 如果计数已经为0或不存在设置为0
self._active_conversations_count[stream_id] = 0
new_count = self._active_conversations_count.get(stream_id, 0)
# 确保IdleChat实例存在
idle_chat = self._idle_chats.get(stream_id)
if idle_chat:
@ -142,7 +143,7 @@ class IdleChatManager:
logger.debug(f"对话结束通知: {stream_id}, 计数从{old_count}减少到{new_count}")
else:
logger.warning(f"对话结束通知: {stream_id}, 计数减少但IdleChat不存在! 计数:{old_count}->{new_count}")
# 检查是否所有对话都结束了,帮助调试
all_counts = sum(self._active_conversations_count.values())
if all_counts == 0:
@ -150,7 +151,7 @@ class IdleChatManager:
except Exception as e:
logger.error(f"对话结束通知处理失败: {stream_id}, 错误: {e}")
logger.error(traceback.format_exc())
def get_idle_chat(self, stream_id: str) -> Optional[IdleChat]:
"""获取空闲聊天实例
@ -161,7 +162,7 @@ class IdleChatManager:
Optional[IdleChat]: 空闲聊天实例如果不存在则返回None
"""
return self._idle_chats.get(stream_id)
def get_active_conversations_count(self, stream_id: str) -> int:
"""获取指定流的活跃对话计数
@ -172,11 +173,11 @@ class IdleChatManager:
int: 活跃对话计数
"""
return self._active_conversations_count.get(stream_id, 0)
def get_all_active_conversations_count(self) -> int:
"""获取所有活跃对话总计数
Returns:
int: 活跃对话总计数
"""
return sum(self._active_conversations_count.values())
return sum(self._active_conversations_count.values())

View File

@ -6,6 +6,7 @@ import time
logger = get_logger("pfc_idle_conversation")
class IdleConversation:
"""
处理Idle聊天相关的功能将这些功能从主Conversation类中分离出来
@ -27,17 +28,18 @@ class IdleConversation:
if self._initialization_in_progress:
logger.debug("IdleConversation正在初始化中等待完成")
return False
if self._idle_chat_manager is not None:
logger.debug("IdleConversation已初始化无需重复操作")
return True
# 标记开始初始化
self._initialization_in_progress = True
try:
# 从PFCManager获取IdleChatManager实例
from ..pfc_manager import PFCManager
pfc_manager = PFCManager.get_instance()
self._idle_chat_manager = pfc_manager.get_idle_chat_manager()
logger.debug("IdleConversation初始化完成已获取IdleChatManager实例")
@ -49,19 +51,19 @@ class IdleConversation:
finally:
# 无论成功或失败,都清除初始化标志
self._initialization_in_progress = False
async def start(self):
"""启动IdleConversation创建后台监控任务"""
if self._running:
logger.debug("IdleConversation已经在运行")
return False
if not self._idle_chat_manager:
success = await self.initialize()
if not success:
logger.error("无法启动IdleConversation初始化失败")
return False
try:
self._running = True
# 创建后台监控任务使用try-except块来捕获可能的异常
@ -76,19 +78,19 @@ class IdleConversation:
# 如果没有活跃的事件循环,记录警告但继续执行
logger.warning("没有活跃的事件循环IdleConversation将不会启动监控任务")
# 尽管没有监控任务但仍然将running设为True表示IdleConversation已启动
return True
except Exception as e:
self._running = False
logger.error(f"启动IdleConversation失败: {e}")
logger.error(traceback.format_exc())
return False
async def stop(self):
"""停止IdleConversation的后台任务"""
if not self._running:
return
self._running = False
if self._monitor_task and not self._monitor_task.done():
try:
@ -102,10 +104,10 @@ class IdleConversation:
except Exception as e:
logger.error(f"停止IdleConversation监控任务时出错: {e}")
logger.error(traceback.format_exc())
self._monitor_task = None
logger.info("IdleConversation已停止")
async def _monitor_loop(self):
"""后台监控循环,定期检查活跃的会话并执行必要的操作"""
try:
@ -114,15 +116,15 @@ class IdleConversation:
# 同步活跃流计数到IdleChatManager
if self._idle_chat_manager:
await self._sync_active_streams_to_manager()
# 这里可以添加定期检查逻辑,如查询空闲状态等
active_count = len(self._active_streams)
logger.debug(f"IdleConversation监控中当前活跃流数量: {active_count}")
except Exception as e:
logger.error(f"IdleConversation监控循环出错: {e}")
logger.error(traceback.format_exc())
# 每30秒执行一次监控
await asyncio.sleep(30)
except asyncio.CancelledError:
@ -131,29 +133,29 @@ class IdleConversation:
logger.error(f"IdleConversation监控任务异常退出: {e}")
logger.error(traceback.format_exc())
self._running = False
async def _sync_active_streams_to_manager(self):
"""同步活跃流计数到IdleChatManager和IdleChat"""
try:
if not self._idle_chat_manager:
return
# 获取当前的活跃流列表
async with self._lock:
active_streams = list(self._active_streams.keys())
# 对每个活跃流确保IdleChatManager和IdleChat中的计数是正确的
for stream_id in active_streams:
# 获取当前IdleChatManager中的计数
manager_count = self._idle_chat_manager.get_active_conversations_count(stream_id)
# 由于我们的活跃流字典只记录是否活跃(值为True)所以计数应该是1
if manager_count != 1:
# 修正IdleChatManager中的计数
old_count = manager_count
self._idle_chat_manager._active_conversations_count[stream_id] = 1
logger.warning(f"同步调整IdleChatManager中的计数: stream_id={stream_id}, {old_count}->1")
# 同时修正IdleChat中的计数
idle_chat = self._idle_chat_manager.get_idle_chat(stream_id)
if idle_chat:
@ -161,26 +163,26 @@ class IdleConversation:
old_count = getattr(idle_chat, "active_instances_count", 0)
idle_chat.active_instances_count = 1
logger.warning(f"同步调整IdleChat中的计数: stream_id={stream_id}, {old_count}->1")
# 检查IdleChatManager中有没有多余的计数(conversation中已不存在但manager中还有)
for stream_id, count in list(self._idle_chat_manager._active_conversations_count.items()):
if count > 0 and stream_id not in active_streams:
# 重置为0
self._idle_chat_manager._active_conversations_count[stream_id] = 0
logger.warning(f"重置IdleChatManager中的多余计数: stream_id={stream_id}, {count}->0")
# 同时修正IdleChat中的计数
idle_chat = self._idle_chat_manager.get_idle_chat(stream_id)
if idle_chat and getattr(idle_chat, "active_instances_count", 0) > 0:
old_count = getattr(idle_chat, "active_instances_count", 0)
idle_chat.active_instances_count = 0
logger.warning(f"同步重置IdleChat中的计数: stream_id={stream_id}, {old_count}->0")
# 日志记录同步结果
total_active = len(active_streams)
total_manager = sum(self._idle_chat_manager._active_conversations_count.values())
logger.debug(f"同步后的计数: IdleConversation活跃流={total_active}, IdleChatManager总计数={total_manager}")
except Exception as e:
logger.error(f"同步活跃流计数失败: {e}")
logger.error(traceback.format_exc())
@ -188,25 +190,25 @@ class IdleConversation:
async def get_or_create_idle_chat(self, stream_id: str, private_name: str):
"""
获取或创建IdleChat实例
Args:
stream_id: 聊天流ID
private_name: 私聊对象名称用于日志
Returns:
bool: 操作是否成功
"""
# 确保IdleConversation已启动
if not self._running:
await self.start()
if not self._idle_chat_manager:
# 如果尚未初始化,尝试初始化
success = await self.initialize()
if not success:
logger.warning(f"[私聊][{private_name}] 获取或创建IdleChat失败IdleChatManager未初始化")
return False
try:
# 创建IdleChat实例
_idle_chat = await self._idle_chat_manager.get_or_create_idle_chat(stream_id, private_name)
@ -220,11 +222,11 @@ class IdleConversation:
async def notify_conversation_start(self, stream_id: str, private_name: str) -> bool:
"""
通知空闲聊天管理器对话开始
Args:
stream_id: 聊天流ID
private_name: 私聊对象名称用于日志
Returns:
bool: 通知是否成功
"""
@ -235,32 +237,32 @@ class IdleConversation:
if not success:
logger.warning(f"[私聊][{private_name}] 启动IdleConversation失败无法通知对话开始")
return False
if not self._idle_chat_manager:
# 如果尚未初始化,尝试初始化
success = await self.initialize()
if not success:
logger.warning(f"[私聊][{private_name}] 通知对话开始失败IdleChatManager未初始化")
return False
try:
# 确保IdleChat实例已创建 - 这是关键步骤要先创建IdleChat
await self.get_or_create_idle_chat(stream_id, private_name)
# 先记录活跃状态 - 这是权威源
async with self._lock:
self._active_streams[stream_id] = True
# 然后同步到IdleChatManager
if self._idle_chat_manager:
await self._idle_chat_manager.notify_conversation_start(stream_id)
logger.info(f"[私聊][{private_name}] 已通知空闲聊天管理器对话开始")
else:
logger.warning(f"[私聊][{private_name}] IdleChatManager不存在但已记录活跃状态")
# 立即进行一次同步,确保数据一致性
await self._sync_active_streams_to_manager()
return True
except Exception as e:
logger.warning(f"[私聊][{private_name}] 通知空闲聊天管理器对话开始失败: {e}")
@ -277,11 +279,11 @@ class IdleConversation:
async def notify_conversation_end(self, stream_id: str, private_name: str) -> bool:
"""
通知空闲聊天管理器对话结束
Args:
stream_id: 聊天流ID
private_name: 私聊对象名称用于日志
Returns:
bool: 通知是否成功
"""
@ -293,30 +295,30 @@ class IdleConversation:
del self._active_streams[stream_id]
was_active = True
logger.debug(f"[私聊][{private_name}] 已从活跃流中移除 {stream_id}")
if not self._idle_chat_manager:
# 如果尚未初始化,尝试初始化
success = await self.initialize()
if not success:
logger.warning(f"[私聊][{private_name}] 通知对话结束失败IdleChatManager未初始化")
return False
try:
# 然后同步到IdleChatManager
if self._idle_chat_manager:
# 无论如何都尝试通知
await self._idle_chat_manager.notify_conversation_end(stream_id)
# 立即进行一次同步,确保数据一致性
await self._sync_active_streams_to_manager()
logger.info(f"[私聊][{private_name}] 已通知空闲聊天管理器对话结束")
# 检查当前活跃流数量
active_count = len(self._active_streams)
if active_count == 0:
logger.info(f"[私聊][{private_name}] 当前无活跃流,可能会触发主动聊天")
# 额外调用:如果实例存在且只有在确实移除了活跃流的情况下才触发检查
if was_active:
idle_chat = self._idle_chat_manager.get_idle_chat(stream_id)
@ -324,7 +326,7 @@ class IdleConversation:
# 直接触发IdleChat检查而不是等待下一个循环
logger.info(f"[私聊][{private_name}] 对话结束,手动触发一次主动聊天检查")
asyncio.create_task(self._trigger_idle_chat_check(idle_chat, stream_id, private_name))
return True
else:
logger.warning(f"[私聊][{private_name}] IdleChatManager不存在但已更新活跃状态")
@ -337,14 +339,14 @@ class IdleConversation:
logger.error(f"[私聊][{private_name}] 处理对话结束通知时发生严重错误: {outer_e}")
logger.error(traceback.format_exc())
return False
async def _trigger_idle_chat_check(self, idle_chat, stream_id: str, private_name: str):
"""在对话结束后手动触发一次IdleChat的检查"""
try:
# 确保活跃计数与IdleConversation一致
async with self._lock:
is_active_in_conversation = stream_id in self._active_streams
# 强制使IdleChat的计数与IdleConversation一致
if is_active_in_conversation:
# 如果在IdleConversation中是活跃的IdleChat的计数应该是1
@ -358,17 +360,17 @@ class IdleConversation:
old_count = idle_chat.active_instances_count
idle_chat.active_instances_count = 0
logger.warning(f"[私聊][{private_name}] 修正IdleChat计数: {old_count}->0")
# 等待1秒让任何正在进行的处理完成
await asyncio.sleep(1)
# 只有当stream不再活跃时才触发检查
if not is_active_in_conversation:
# 尝试触发一次检查
if hasattr(idle_chat, "_should_trigger"):
should_trigger = await idle_chat._should_trigger()
logger.info(f"[私聊][{private_name}] 手动触发主动聊天检查结果: {should_trigger}")
# 如果应该触发直接调用_initiate_chat
if should_trigger and hasattr(idle_chat, "_initiate_chat"):
logger.info(f"[私聊][{private_name}] 手动触发主动聊天")
@ -384,11 +386,11 @@ class IdleConversation:
def is_stream_active(self, stream_id: str) -> bool:
"""检查指定的stream是否活跃"""
return stream_id in self._active_streams
def get_active_streams_count(self) -> int:
"""获取当前活跃的stream数量"""
return len(self._active_streams)
@property
def is_running(self) -> bool:
"""检查IdleConversation是否正在运行"""
@ -399,39 +401,41 @@ class IdleConversation:
"""获取IdleChatManager实例"""
return self._idle_chat_manager
# 创建单例实例
_instance: Optional[IdleConversation] = None
_instance_lock = asyncio.Lock()
_initialization_in_progress = False # 防止并发初始化
async def initialize_idle_conversation() -> IdleConversation:
"""初始化并启动IdleConversation单例实例"""
global _initialization_in_progress
# 防止并发初始化
if _initialization_in_progress:
logger.debug("IdleConversation全局初始化正在进行中等待完成")
return get_idle_conversation_instance()
# 标记正在初始化
_initialization_in_progress = True
try:
instance = get_idle_conversation_instance()
# 如果实例已经在运行,避免重复初始化
if getattr(instance, '_running', False):
if getattr(instance, "_running", False):
logger.debug("IdleConversation已在运行状态无需重新初始化")
_initialization_in_progress = False
return instance
# 初始化实例
success = await instance.initialize()
if not success:
logger.error("IdleConversation初始化失败")
_initialization_in_progress = False
return instance
# 启动实例
success = await instance.start()
if not success:
@ -440,10 +444,10 @@ async def initialize_idle_conversation() -> IdleConversation:
# 启动成功,进行初始检查
logger.info("IdleConversation启动成功执行初始化后检查")
# 这里可以添加一些启动后的检查,如果需要
# 创建一个异步任务,定期检查系统状态
asyncio.create_task(periodic_system_check(instance))
return instance
except Exception as e:
logger.error(f"初始化并启动IdleConversation时出错: {e}")
@ -455,40 +459,43 @@ async def initialize_idle_conversation() -> IdleConversation:
# 清除初始化标志
_initialization_in_progress = False
async def periodic_system_check(instance: IdleConversation):
"""定期检查系统状态,确保主动聊天功能正常工作"""
try:
# 等待10秒让系统完全启动
await asyncio.sleep(10)
while getattr(instance, '_running', False):
while getattr(instance, "_running", False):
try:
# 检查活跃流数量
active_streams_count = len(getattr(instance, '_active_streams', {}))
active_streams_count = len(getattr(instance, "_active_streams", {}))
# 如果IdleChatManager存在检查其中的活跃对话计数
idle_chat_manager = getattr(instance, '_idle_chat_manager', None)
if idle_chat_manager and hasattr(idle_chat_manager, 'get_all_active_conversations_count'):
idle_chat_manager = getattr(instance, "_idle_chat_manager", None)
if idle_chat_manager and hasattr(idle_chat_manager, "get_all_active_conversations_count"):
manager_count = idle_chat_manager.get_all_active_conversations_count()
# 如果两者不一致,记录警告
if active_streams_count != manager_count:
logger.warning(f"检测到计数不一致: IdleConversation记录的活跃流数量({active_streams_count}) 与 IdleChatManager记录的活跃对话数({manager_count})不匹配")
logger.warning(
f"检测到计数不一致: IdleConversation记录的活跃流数量({active_streams_count}) 与 IdleChatManager记录的活跃对话数({manager_count})不匹配"
)
# 如果IdleChatManager记录的计数为0但自己的记录不为0进行修正
if manager_count == 0 and active_streams_count > 0:
logger.warning("检测到可能的计数错误尝试修正清空IdleConversation的活跃流记录")
async with instance._lock:
instance._active_streams.clear()
# 检查计数如果为0帮助日志输出
if active_streams_count == 0:
logger.debug("当前没有活跃的对话流,应该可以触发主动聊天")
except Exception as check_err:
logger.error(f"执行系统检查时出错: {check_err}")
logger.error(traceback.format_exc())
# 每60秒检查一次
await asyncio.sleep(60)
except asyncio.CancelledError:
@ -497,9 +504,10 @@ async def periodic_system_check(instance: IdleConversation):
logger.error(f"系统检查任务异常退出: {e}")
logger.error(traceback.format_exc())
def get_idle_conversation_instance() -> IdleConversation:
"""获取IdleConversation的单例实例"""
global _instance
if _instance is None:
_instance = IdleConversation()
return _instance
return _instance

View File

@ -27,6 +27,7 @@ install(extra_lines=3)
# 获取当前模块的日志记录器
logger = get_logger("idle_conversation_starter")
class IdleConversationStarter:
"""长时间无对话主动发起对话的组件
@ -239,7 +240,7 @@ class IdleConversationStarter:
# 在函数内部导入PFCManager避免循环导入
from ..pfc_manager import PFCManager
# 获取当前实例 - 注意这是同步方法不需要await
pfc_manager = PFCManager.get_instance()

View File

@ -114,11 +114,11 @@ class ChatObserver:
logger.debug(
f"[私聊][{self.private_name}] 消息已添加到 ChatObserver 缓存,当前缓存大小: {len(self.message_cache)}"
)
# 检查是否用户发送的消息(而非机器人自己)
try:
from .PFC_idle.idle_chat import IdleChat
# 获取消息的发送者
user_info = message.get("user_info", {})
if user_info and str(user_info.get("user_id")) != str(global_config.BOT_QQ):

View File

@ -99,10 +99,7 @@ async def load_initial_history(conversation_instance: "Conversation"):
conversation_instance.chat_observer.last_message_time = (
conversation_instance.observation_info.last_message_time
)
if (
conversation_instance.idle_chat
and conversation_instance.observation_info.last_message_time
):
if conversation_instance.idle_chat and conversation_instance.observation_info.last_message_time:
# 更新空闲计时器的起始时间
await conversation_instance.idle_chat.update_last_message_time(
conversation_instance.observation_info.last_message_time

View File

@ -69,10 +69,7 @@ async def run_conversation_loop(conversation_instance: "Conversation"):
conversation_instance.ignore_until_timestamp
and loop_iter_start_time < conversation_instance.ignore_until_timestamp
):
if (
conversation_instance.idle_chat
and conversation_instance.idle_chat._running
):
if conversation_instance.idle_chat and conversation_instance.idle_chat._running:
# 不直接停止服务,改为暂时忽略此用户
# 虽然我们仍然可以通过active_instances_count来决定是否触发主动聊天
# 但为了安全起见,我们只记录一个日志