351 lines
14 KiB
Python
351 lines
14 KiB
Python
"""
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重构后的聊天上下文管理器
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提供统一、稳定的聊天上下文管理功能
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每个 context_manager 实例只管理一个 stream 的上下文
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"""
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import asyncio
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import time
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from typing import Any
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from src.chat.energy_system import energy_manager
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from src.common.data_models.database_data_model import DatabaseMessages
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from src.common.data_models.message_manager_data_model import StreamContext
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from src.common.logger import get_logger
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from src.config.config import global_config
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from .distribution_manager import stream_loop_manager
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logger = get_logger("context_manager")
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class SingleStreamContextManager:
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"""单流上下文管理器 - 每个实例只管理一个 stream 的上下文"""
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def __init__(self, stream_id: str, context: StreamContext, max_context_size: int | None = None):
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self.stream_id = stream_id
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self.context = context
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# 配置参数
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self.max_context_size = max_context_size or getattr(global_config.chat, "max_context_size", 100)
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self.context_ttl = getattr(global_config.chat, "context_ttl", 24 * 3600) # 24小时
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# 元数据
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self.created_time = time.time()
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self.last_access_time = time.time()
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self.access_count = 0
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self.total_messages = 0
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logger.debug(f"单流上下文管理器初始化: {stream_id}")
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def get_context(self) -> StreamContext:
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"""获取流上下文"""
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self._update_access_stats()
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return self.context
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async def add_message(self, message: DatabaseMessages, skip_energy_update: bool = False) -> bool:
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"""添加消息到上下文
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Args:
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message: 消息对象
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skip_energy_update: 是否跳过能量更新（兼容参数，当前忽略）
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Returns:
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bool: 是否成功添加
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"""
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try:
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self.context.add_message(message)
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# 推迟兴趣度计算到分发阶段
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message.interest_value = getattr(message, "interest_value", None)
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self.total_messages += 1
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self.last_access_time = time.time()
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# 启动流的循环任务（如果还未启动）
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asyncio.create_task(stream_loop_manager.start_stream_loop(self.stream_id))
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logger.debug(f"添加消息{message.processed_plain_text}到单流上下文: {self.stream_id}")
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return True
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except Exception as e:
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logger.error(f"添加消息到单流上下文失败 {self.stream_id}: {e}", exc_info=True)
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return False
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async def update_message(self, message_id: str, updates: dict[str, Any]) -> bool:
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"""更新上下文中的消息
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Args:
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message_id: 消息ID
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updates: 更新的属性
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Returns:
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bool: 是否成功更新
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"""
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try:
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self.context.update_message_info(message_id, **updates)
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logger.debug(f"更新单流上下文消息: {self.stream_id}/{message_id}")
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return True
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except Exception as e:
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logger.error(f"更新单流上下文消息失败 {self.stream_id}/{message_id}: {e}", exc_info=True)
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return False
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def get_messages(self, limit: int | None = None, include_unread: bool = True) -> list[DatabaseMessages]:
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"""获取上下文消息
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Args:
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limit: 消息数量限制
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include_unread: 是否包含未读消息
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Returns:
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List[DatabaseMessages]: 消息列表
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"""
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try:
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messages = []
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if include_unread:
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messages.extend(self.context.get_unread_messages())
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if limit:
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messages.extend(self.context.get_history_messages(limit=limit))
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else:
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messages.extend(self.context.get_history_messages())
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# 按时间排序
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messages.sort(key=lambda msg: getattr(msg, "time", 0))
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# 应用限制
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if limit and len(messages) > limit:
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messages = messages[-limit:]
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return messages
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except Exception as e:
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logger.error(f"获取单流上下文消息失败 {self.stream_id}: {e}", exc_info=True)
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return []
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def get_unread_messages(self) -> list[DatabaseMessages]:
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"""获取未读消息"""
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try:
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return self.context.get_unread_messages()
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except Exception as e:
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logger.error(f"获取单流未读消息失败 {self.stream_id}: {e}", exc_info=True)
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return []
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def mark_messages_as_read(self, message_ids: list[str]) -> bool:
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"""标记消息为已读"""
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try:
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if not hasattr(self.context, "mark_message_as_read"):
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logger.error(f"上下文对象缺少 mark_message_as_read 方法: {self.stream_id}")
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return False
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marked_count = 0
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for message_id in message_ids:
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try:
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self.context.mark_message_as_read(message_id)
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marked_count += 1
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except Exception as e:
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logger.warning(f"标记消息已读失败 {message_id}: {e}")
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logger.debug(f"标记消息为已读: {self.stream_id} ({marked_count}/{len(message_ids)}条)")
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return marked_count > 0
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except Exception as e:
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logger.error(f"标记消息已读失败 {self.stream_id}: {e}", exc_info=True)
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return False
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async def clear_context(self) -> bool:
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"""清空上下文"""
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try:
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if hasattr(self.context, "unread_messages"):
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self.context.unread_messages.clear()
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if hasattr(self.context, "history_messages"):
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self.context.history_messages.clear()
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reset_attrs = ["interruption_count", "afc_threshold_adjustment", "last_check_time"]
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for attr in reset_attrs:
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if hasattr(self.context, attr):
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if attr in ["interruption_count", "afc_threshold_adjustment"]:
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setattr(self.context, attr, 0)
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else:
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setattr(self.context, attr, time.time())
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await self._update_stream_energy()
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logger.info(f"清空单流上下文: {self.stream_id}")
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return True
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except Exception as e:
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logger.error(f"清空单流上下文失败 {self.stream_id}: {e}", exc_info=True)
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return False
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def get_statistics(self) -> dict[str, Any]:
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"""获取流统计信息"""
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try:
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current_time = time.time()
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uptime = current_time - self.created_time
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unread_messages = getattr(self.context, "unread_messages", [])
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history_messages = getattr(self.context, "history_messages", [])
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return {
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"stream_id": self.stream_id,
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"context_type": type(self.context).__name__,
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"total_messages": len(history_messages) + len(unread_messages),
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"unread_messages": len(unread_messages),
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"history_messages": len(history_messages),
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"is_active": getattr(self.context, "is_active", True),
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"last_check_time": getattr(self.context, "last_check_time", current_time),
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"interruption_count": getattr(self.context, "interruption_count", 0),
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"afc_threshold_adjustment": getattr(self.context, "afc_threshold_adjustment", 0.0),
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"created_time": self.created_time,
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"last_access_time": self.last_access_time,
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"access_count": self.access_count,
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"uptime_seconds": uptime,
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"idle_seconds": current_time - self.last_access_time,
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}
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except Exception as e:
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logger.error(f"获取单流统计失败 {self.stream_id}: {e}", exc_info=True)
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return {}
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def validate_integrity(self) -> bool:
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"""验证上下文完整性"""
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try:
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# 检查基本属性
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required_attrs = ["stream_id", "unread_messages", "history_messages"]
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for attr in required_attrs:
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if not hasattr(self.context, attr):
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logger.warning(f"上下文缺少必要属性: {attr}")
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return False
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# 检查消息ID唯一性
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all_messages = getattr(self.context, "unread_messages", []) + getattr(self.context, "history_messages", [])
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message_ids = [msg.message_id for msg in all_messages if hasattr(msg, "message_id")]
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if len(message_ids) != len(set(message_ids)):
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logger.warning(f"上下文中存在重复消息ID: {self.stream_id}")
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return False
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return True
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except Exception as e:
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logger.error(f"验证单流上下文完整性失败 {self.stream_id}: {e}")
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return False
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def _update_access_stats(self):
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"""更新访问统计"""
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self.last_access_time = time.time()
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self.access_count += 1
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async def _calculate_message_interest(self, message: DatabaseMessages) -> float:
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"""
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异步计算消息的兴趣度。
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此方法通过检查当前是否存在正在运行的 asyncio 事件循环来兼容同步和异步调用。
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"""
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# 内部异步函数，封装实际的计算逻辑
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async def _get_score():
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try:
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from src.plugins.built_in.affinity_flow_chatter.interest_scoring import (
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chatter_interest_scoring_system,
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)
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interest_score = await chatter_interest_scoring_system._calculate_single_message_score(
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message=message, bot_nickname=global_config.bot.nickname
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)
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interest_value = interest_score.total_score
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logger.debug(f"使用插件内部系统计算兴趣度: {interest_value:.3f}")
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return interest_value
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except ImportError as e:
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logger.debug(f"兴趣度计算插件加载失败，可能未启用: {e}")
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return 0.5
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except Exception as e:
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# 在某些情况下（例如机器人自己的消息），没有兴趣度是正常的
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logger.info(f"插件内部兴趣度计算失败，使用默认值: {e}")
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return 0.5
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# 检查并获取当前事件循环
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try:
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loop = asyncio.get_running_loop()
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except RuntimeError: # 'RuntimeError: There is no current event loop...'
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loop = None
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if loop and loop.is_running():
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# 如果事件循环正在运行，直接 await
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return await _get_score()
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else:
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# 否则，使用 asyncio.run() 来安全执行
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return asyncio.run(_get_score())
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async def add_message_async(self, message: DatabaseMessages, skip_energy_update: bool = False) -> bool:
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"""异步实现的 add_message：将消息添加到 context，并 await 能量更新与分发。"""
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try:
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self.context.add_message(message)
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# 推迟兴趣度计算到分发阶段
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message.interest_value = getattr(message, "interest_value", None)
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self.total_messages += 1
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self.last_access_time = time.time()
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# 启动流的循环任务（如果还未启动）
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asyncio.create_task(stream_loop_manager.start_stream_loop(self.stream_id))
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logger.debug(f"添加消息到单流上下文(异步): {self.stream_id} (兴趣度待计算)")
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return True
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except Exception as e:
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logger.error(f"添加消息到单流上下文失败 (async) {self.stream_id}: {e}", exc_info=True)
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return False
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async def update_message_async(self, message_id: str, updates: dict[str, Any]) -> bool:
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"""异步实现的 update_message：更新消息并在需要时 await 能量更新。"""
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try:
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self.context.update_message_info(message_id, **updates)
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logger.debug(f"更新单流上下文消息(异步): {self.stream_id}/{message_id}")
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return True
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except Exception as e:
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logger.error(f"更新单流上下文消息失败 (async) {self.stream_id}/{message_id}: {e}", exc_info=True)
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return False
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async def clear_context_async(self) -> bool:
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"""异步实现的 clear_context：清空消息并 await 能量重算。"""
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try:
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if hasattr(self.context, "unread_messages"):
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self.context.unread_messages.clear()
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if hasattr(self.context, "history_messages"):
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self.context.history_messages.clear()
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reset_attrs = ["interruption_count", "afc_threshold_adjustment", "last_check_time"]
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for attr in reset_attrs:
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if hasattr(self.context, attr):
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if attr in ["interruption_count", "afc_threshold_adjustment"]:
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setattr(self.context, attr, 0)
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else:
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setattr(self.context, attr, time.time())
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await self._update_stream_energy()
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logger.info(f"清空单流上下文(异步): {self.stream_id}")
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return True
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except Exception as e:
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logger.error(f"清空单流上下文失败 (async) {self.stream_id}: {e}", exc_info=True)
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return False
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async def refresh_focus_energy_from_history(self) -> None:
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"""基于历史消息刷新聚焦能量"""
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await self._update_stream_energy(include_unread=False)
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async def _update_stream_energy(self, include_unread: bool = False) -> None:
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"""更新流能量"""
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try:
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history_messages = self.context.get_history_messages(limit=self.max_context_size)
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messages: list[DatabaseMessages] = list(history_messages)
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if include_unread:
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messages.extend(self.get_unread_messages())
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# 获取用户ID（优先使用最新历史消息）
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user_id = None
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if messages:
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last_message = messages[-1]
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if hasattr(last_message, "user_info") and last_message.user_info:
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user_id = last_message.user_info.user_id
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await energy_manager.calculate_focus_energy(
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stream_id=self.stream_id,
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messages=messages,
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user_id=user_id,
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)
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except Exception as e:
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logger.error(f"更新单流能量失败 {self.stream_id}: {e}")
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