02d0490da7
将多个模块中的调试日志(logger.debug)升级为信息级别(logger.info)，包括流循环管理、聊天动作生成和消息兴趣度计算等关键组件。 这些修改使得生产环境中能够更直观地监控系统运行状态，包括流等待间隔、动作生成数量和消息处理决策等重要指标，同时移除了冗余的用户ID计算逻辑。
345 lines
11 KiB
Python
345 lines
11 KiB
Python
"""
|
||
流循环管理器
|
||
为每个聊天流创建独立的无限循环任务，主动轮询处理消息
|
||
"""
|
||
|
||
import asyncio
|
||
import time
|
||
from typing import Dict, Optional, Any
|
||
|
||
from src.common.logger import get_logger
|
||
from src.config.config import global_config
|
||
from src.chat.energy_system import energy_manager
|
||
from src.chat.chatter_manager import ChatterManager
|
||
from src.plugin_system.apis.chat_api import get_chat_manager
|
||
|
||
logger = get_logger("stream_loop_manager")
|
||
|
||
|
||
class StreamLoopManager:
|
||
"""流循环管理器 - 每个流一个独立的无限循环任务"""
|
||
|
||
def __init__(self, max_concurrent_streams: Optional[int] = None):
|
||
# 流循环任务管理
|
||
self.stream_loops: Dict[str, asyncio.Task] = {}
|
||
self.loop_lock = asyncio.Lock()
|
||
|
||
# 统计信息
|
||
self.stats: Dict[str, Any] = {
|
||
"active_streams": 0,
|
||
"total_loops": 0,
|
||
"total_process_cycles": 0,
|
||
"total_failures": 0,
|
||
"start_time": time.time(),
|
||
}
|
||
|
||
# 配置参数
|
||
self.max_concurrent_streams = max_concurrent_streams or getattr(
|
||
global_config.chat, "max_concurrent_distributions", 10
|
||
)
|
||
|
||
# Chatter管理器
|
||
self.chatter_manager: Optional[ChatterManager] = None
|
||
|
||
# 状态控制
|
||
self.is_running = False
|
||
|
||
logger.info(f"流循环管理器初始化完成 (最大并发流数: {self.max_concurrent_streams})")
|
||
|
||
async def start(self) -> None:
|
||
"""启动流循环管理器"""
|
||
if self.is_running:
|
||
logger.warning("流循环管理器已经在运行")
|
||
return
|
||
|
||
self.is_running = True
|
||
logger.info("流循环管理器已启动")
|
||
|
||
async def stop(self) -> None:
|
||
"""停止流循环管理器"""
|
||
if not self.is_running:
|
||
return
|
||
|
||
self.is_running = False
|
||
|
||
# 取消所有流循环
|
||
async with self.loop_lock:
|
||
for task in list(self.stream_loops.values()):
|
||
if not task.done():
|
||
task.cancel()
|
||
try:
|
||
await task
|
||
except asyncio.CancelledError:
|
||
pass
|
||
self.stream_loops.clear()
|
||
|
||
logger.info("流循环管理器已停止")
|
||
|
||
async def start_stream_loop(self, stream_id: str) -> bool:
|
||
"""启动指定流的循环任务
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
|
||
Returns:
|
||
bool: 是否成功启动
|
||
"""
|
||
async with self.loop_lock:
|
||
# 检查是否已有循环在运行
|
||
if stream_id in self.stream_loops:
|
||
logger.debug(f"流 {stream_id} 循环已在运行")
|
||
return True
|
||
|
||
# 检查是否超过最大并发限制
|
||
if len(self.stream_loops) >= self.max_concurrent_streams:
|
||
logger.warning(f"超过最大并发流数限制，无法启动流 {stream_id}")
|
||
return False
|
||
|
||
# 创建流循环任务
|
||
task = asyncio.create_task(self._stream_loop(stream_id))
|
||
self.stream_loops[stream_id] = task
|
||
self.stats["total_loops"] += 1
|
||
|
||
logger.info(f"启动流循环: {stream_id}")
|
||
return True
|
||
|
||
async def stop_stream_loop(self, stream_id: str) -> bool:
|
||
"""停止指定流的循环任务
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
|
||
Returns:
|
||
bool: 是否成功停止
|
||
"""
|
||
async with self.loop_lock:
|
||
if stream_id in self.stream_loops:
|
||
task = self.stream_loops[stream_id]
|
||
if not task.done():
|
||
task.cancel()
|
||
try:
|
||
await task
|
||
except asyncio.CancelledError:
|
||
pass
|
||
del self.stream_loops[stream_id]
|
||
logger.info(f"停止流循环: {stream_id}")
|
||
return True
|
||
return False
|
||
|
||
async def _stream_loop(self, stream_id: str) -> None:
|
||
"""单个流的无限循环
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
"""
|
||
logger.info(f"流循环开始: {stream_id}")
|
||
|
||
try:
|
||
while self.is_running:
|
||
try:
|
||
# 1. 获取流上下文
|
||
context = await self._get_stream_context(stream_id)
|
||
if not context:
|
||
logger.warning(f"无法获取流上下文: {stream_id}")
|
||
await asyncio.sleep(10.0)
|
||
continue
|
||
|
||
# 2. 检查是否有消息需要处理
|
||
has_messages = await self._has_messages_to_process(context)
|
||
|
||
if has_messages:
|
||
# 3. 激活chatter处理
|
||
success = await self._process_stream_messages(stream_id, context)
|
||
|
||
# 更新统计
|
||
self.stats["total_process_cycles"] += 1
|
||
if success:
|
||
logger.debug(f"流处理成功: {stream_id}")
|
||
else:
|
||
self.stats["total_failures"] += 1
|
||
logger.warning(f"流处理失败: {stream_id}")
|
||
|
||
# 4. 计算下次检查间隔
|
||
interval = await self._calculate_interval(stream_id, has_messages)
|
||
|
||
# 5. sleep等待下次检查
|
||
logger.info(f"流 {stream_id} 等待 {interval:.2f}s")
|
||
await asyncio.sleep(interval)
|
||
|
||
except asyncio.CancelledError:
|
||
logger.info(f"流循环被取消: {stream_id}")
|
||
break
|
||
except Exception as e:
|
||
logger.error(f"流循环出错 {stream_id}: {e}", exc_info=True)
|
||
self.stats["total_failures"] += 1
|
||
await asyncio.sleep(5.0) # 错误时等待5秒再重试
|
||
|
||
finally:
|
||
# 清理循环标记
|
||
async with self.loop_lock:
|
||
if stream_id in self.stream_loops:
|
||
del self.stream_loops[stream_id]
|
||
|
||
logger.info(f"流循环结束: {stream_id}")
|
||
|
||
async def _get_stream_context(self, stream_id: str) -> Optional[Any]:
|
||
"""获取流上下文
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
|
||
Returns:
|
||
Optional[Any]: 流上下文，如果不存在返回None
|
||
"""
|
||
try:
|
||
chat_manager = get_chat_manager()
|
||
chat_stream = chat_manager.get_stream(stream_id)
|
||
if chat_stream:
|
||
return chat_stream.context_manager.context
|
||
return None
|
||
except Exception as e:
|
||
logger.error(f"获取流上下文失败 {stream_id}: {e}")
|
||
return None
|
||
|
||
async def _has_messages_to_process(self, context: Any) -> bool:
|
||
"""检查是否有消息需要处理
|
||
|
||
Args:
|
||
context: 流上下文
|
||
|
||
Returns:
|
||
bool: 是否有未读消息
|
||
"""
|
||
try:
|
||
# 检查是否有未读消息
|
||
if hasattr(context, "unread_messages") and context.unread_messages:
|
||
return True
|
||
|
||
# 检查其他需要处理的条件
|
||
if hasattr(context, "has_pending_messages") and context.has_pending_messages:
|
||
return True
|
||
|
||
return False
|
||
except Exception as e:
|
||
logger.error(f"检查消息状态失败: {e}")
|
||
return False
|
||
|
||
async def _process_stream_messages(self, stream_id: str, context: Any) -> bool:
|
||
"""处理流消息
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
context: 流上下文
|
||
|
||
Returns:
|
||
bool: 是否处理成功
|
||
"""
|
||
if not self.chatter_manager:
|
||
logger.warning(f"Chatter管理器未设置: {stream_id}")
|
||
return False
|
||
|
||
try:
|
||
start_time = time.time()
|
||
|
||
# 直接调用chatter_manager处理流上下文
|
||
results = await self.chatter_manager.process_stream_context(stream_id, context)
|
||
success = results.get("success", False)
|
||
|
||
if success:
|
||
process_time = time.time() - start_time
|
||
logger.debug(f"流处理成功: {stream_id} (耗时: {process_time:.2f}s)")
|
||
else:
|
||
logger.warning(f"流处理失败: {stream_id} - {results.get('error_message', '未知错误')}")
|
||
|
||
return success
|
||
|
||
except Exception as e:
|
||
logger.error(f"流处理异常: {stream_id} - {e}", exc_info=True)
|
||
return False
|
||
|
||
async def _calculate_interval(self, stream_id: str, has_messages: bool) -> float:
|
||
"""计算下次检查间隔
|
||
|
||
Args:
|
||
stream_id: 流ID
|
||
has_messages: 本次是否有消息处理
|
||
|
||
Returns:
|
||
float: 间隔时间（秒）
|
||
"""
|
||
# 基础间隔
|
||
base_interval = getattr(global_config.chat, "distribution_interval", 5.0)
|
||
|
||
# 如果没有消息，使用更长的间隔
|
||
if not has_messages:
|
||
return base_interval * 2.0 # 无消息时间隔加倍
|
||
|
||
# 尝试使用能量管理器计算间隔
|
||
try:
|
||
# 获取当前focus_energy
|
||
focus_energy = energy_manager.energy_cache.get(stream_id, (0.5, 0))[0]
|
||
|
||
# 使用能量管理器计算间隔
|
||
interval = energy_manager.get_distribution_interval(focus_energy)
|
||
|
||
logger.debug(f"流 {stream_id} 动态间隔: {interval:.2f}s (能量: {focus_energy:.3f})")
|
||
return interval
|
||
|
||
except Exception as e:
|
||
logger.debug(f"流 {stream_id} 使用默认间隔: {base_interval:.2f}s ({e})")
|
||
return base_interval
|
||
|
||
def get_queue_status(self) -> Dict[str, Any]:
|
||
"""获取队列状态
|
||
|
||
Returns:
|
||
Dict[str, Any]: 队列状态信息
|
||
"""
|
||
current_time = time.time()
|
||
uptime = current_time - self.stats["start_time"] if self.is_running else 0
|
||
|
||
return {
|
||
"active_streams": len(self.stream_loops),
|
||
"total_loops": self.stats["total_loops"],
|
||
"max_concurrent": self.max_concurrent_streams,
|
||
"is_running": self.is_running,
|
||
"uptime": uptime,
|
||
"total_process_cycles": self.stats["total_process_cycles"],
|
||
"total_failures": self.stats["total_failures"],
|
||
"stats": self.stats.copy(),
|
||
}
|
||
|
||
def set_chatter_manager(self, chatter_manager: ChatterManager) -> None:
|
||
"""设置chatter管理器
|
||
|
||
Args:
|
||
chatter_manager: chatter管理器实例
|
||
"""
|
||
self.chatter_manager = chatter_manager
|
||
logger.info(f"设置chatter管理器: {chatter_manager.__class__.__name__}")
|
||
|
||
def get_performance_summary(self) -> Dict[str, Any]:
|
||
"""获取性能摘要
|
||
|
||
Returns:
|
||
Dict[str, Any]: 性能摘要
|
||
"""
|
||
current_time = time.time()
|
||
uptime = current_time - self.stats["start_time"]
|
||
|
||
# 计算吞吐量
|
||
throughput = self.stats["total_process_cycles"] / max(1, uptime / 3600) # 每小时处理次数
|
||
|
||
return {
|
||
"uptime_hours": uptime / 3600,
|
||
"active_streams": len(self.stream_loops),
|
||
"total_process_cycles": self.stats["total_process_cycles"],
|
||
"total_failures": self.stats["total_failures"],
|
||
"throughput_per_hour": throughput,
|
||
"max_concurrent_streams": self.max_concurrent_streams,
|
||
}
|
||
|
||
|
||
# 全局流循环管理器实例
|
||
stream_loop_manager = StreamLoopManager()
|