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feat: 完全分离回复 兴趣和 消息阅读；添加概率回复机制，优化兴趣监控逻辑，重构相关功能以支持更灵活的回复触发条件

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SengokuCola
2025-04-17 16:51:35 +08:00
parent cfdaf00559
commit a2333f9f82
7 changed files with 730 additions and 376 deletions
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226
src/plugins/chat_module/heartFC_chat/interest.py
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@@ -6,6 +6,7 @@ import json # 引入 json
import os # 引入 os
import traceback # <--- 添加导入
from typing import Optional # <--- 添加导入
import random # <--- 添加导入 random
from src.common.logger import get_module_logger, LogConfig, DEFAULT_CONFIG # 引入 DEFAULT_CONFIG
from src.plugins.chat.chat_stream import chat_manager # *** Import ChatManager ***
from ...chat.message import MessageRecv # 导入 MessageRecv
@@ -20,7 +21,6 @@ logger = get_module_logger("InterestManager", config=interest_log_config)
# 定义常量
DEFAULT_DECAY_RATE_PER_SECOND = 0.95 # 每秒衰减率 (兴趣保留 99%)
# DEFAULT_INCREASE_AMOUNT = 10.0 # 不再需要固定增加值
MAX_INTEREST = 10.0 # 最大兴趣值
MIN_INTEREST_THRESHOLD = 0.1 # 低于此值可能被清理 (可选)
CLEANUP_INTERVAL_SECONDS = 3600 # 清理任务运行间隔 (例如：1小时)
@@ -32,16 +32,39 @@ HISTORY_LOG_FILENAME = "interest_history.log" # 新的历史日志文件名
# 移除阈值，将移至 HeartFC_Chat
# INTEREST_INCREASE_THRESHOLD = 0.5
# --- 新增：概率回复相关常量 ---
REPLY_TRIGGER_THRESHOLD = 5.0 # 触发概率回复的兴趣阈值 (示例值)
BASE_REPLY_PROBABILITY = 0.05 # 首次超过阈值时的基础回复概率 (示例值)
PROBABILITY_INCREASE_RATE_PER_SECOND = 0.02 # 高于阈值时，每秒概率增加量 (线性增长, 示例值)
PROBABILITY_DECAY_FACTOR_PER_SECOND = 0.3 # 低于阈值时，每秒概率衰减因子 (指数衰减, 示例值)
MAX_REPLY_PROBABILITY = 0.95 # 回复概率上限 (示例值)
# --- 结束：概率回复相关常量 ---
class InterestChatting:
def __init__(self, decay_rate=DEFAULT_DECAY_RATE_PER_SECOND, max_interest=MAX_INTEREST):
def __init__(self,
decay_rate=DEFAULT_DECAY_RATE_PER_SECOND,
max_interest=MAX_INTEREST,
trigger_threshold=REPLY_TRIGGER_THRESHOLD,
base_reply_probability=BASE_REPLY_PROBABILITY,
increase_rate=PROBABILITY_INCREASE_RATE_PER_SECOND,
decay_factor=PROBABILITY_DECAY_FACTOR_PER_SECOND,
max_probability=MAX_REPLY_PROBABILITY):
self.interest_level: float = 0.0
self.last_update_time: float = time.time()
self.last_update_time: float = time.time() # 同时作为兴趣和概率的更新时间基准
self.decay_rate_per_second: float = decay_rate
# self.increase_amount: float = increase_amount # 移除固定的 increase_amount
self.max_interest: float = max_interest
# 新增：用于追踪最后一次显著增加的信息，供外部监控任务使用
self.last_increase_amount: float = 0.0
self.last_triggering_message: MessageRecv | None = None
self.last_interaction_time: float = self.last_update_time # 新增：最后交互时间
# --- 新增：概率回复相关属性 ---
self.trigger_threshold: float = trigger_threshold
self.base_reply_probability: float = base_reply_probability
self.probability_increase_rate: float = increase_rate
self.probability_decay_factor: float = decay_factor
self.max_reply_probability: float = max_probability
self.current_reply_probability: float = 0.0
self.is_above_threshold: bool = False # 标记兴趣值是否高于阈值
# --- 结束：概率回复相关属性 ---
def _calculate_decay(self, current_time: float):
"""计算从上次更新到现在的衰减"""
@@ -49,6 +72,7 @@ class InterestChatting:
if time_delta > 0:
# 指数衰减: interest = interest * (decay_rate ^ time_delta)
# 添加处理极小兴趣值避免 math domain error
old_interest = self.interest_level
if self.interest_level < 1e-9:
self.interest_level = 0.0
else:
@@ -71,46 +95,141 @@ class InterestChatting:
# 防止低于阈值 (如果需要)
# self.interest_level = max(self.interest_level, MIN_INTEREST_THRESHOLD)
self.last_update_time = current_time
# 只有在兴趣值发生变化时才更新时间戳
if old_interest != self.interest_level:
self.last_update_time = current_time
def increase_interest(self, current_time: float, value: float, message: Optional[MessageRecv]):
"""根据传入的值增加兴趣值，并记录增加量和关联消息"""
self._calculate_decay(current_time) # 先计算衰减
# 记录这次增加的具体数值和消息，供外部判断是否触发
def _update_reply_probability(self, current_time: float):
"""根据当前兴趣是否超过阈值及时间差，更新回复概率"""
time_delta = current_time - self.last_update_time
if time_delta <= 0:
return # 时间未前进，无需更新
currently_above = self.interest_level >= self.trigger_threshold
if currently_above:
if not self.is_above_threshold:
# 刚跨过阈值，重置为基础概率
self.current_reply_probability = self.base_reply_probability
logger.debug(f"兴趣跨过阈值 ({self.trigger_threshold}). 概率重置为基础值: {self.base_reply_probability:.4f}")
else:
# 持续高于阈值，线性增加概率
increase_amount = self.probability_increase_rate * time_delta
self.current_reply_probability += increase_amount
logger.debug(f"兴趣高于阈值 ({self.trigger_threshold}) 持续 {time_delta:.2f}秒. 概率增加 {increase_amount:.4f} 到 {self.current_reply_probability:.4f}")
# 限制概率不超过最大值
self.current_reply_probability = min(self.current_reply_probability, self.max_reply_probability)
else: # 低于阈值
if self.is_above_threshold:
# 刚低于阈值，开始衰减
logger.debug(f"兴趣低于阈值 ({self.trigger_threshold}). 概率衰减开始于 {self.current_reply_probability:.4f}")
# else: # 持续低于阈值，继续衰减
# pass # 不需要特殊处理
# 指数衰减概率
# 检查 decay_factor 是否有效
if 0 < self.probability_decay_factor < 1:
decay_multiplier = math.pow(self.probability_decay_factor, time_delta)
old_prob = self.current_reply_probability
self.current_reply_probability *= decay_multiplier
# 避免因浮点数精度问题导致概率略微大于0，直接设为0
if self.current_reply_probability < 1e-6:
self.current_reply_probability = 0.0
logger.debug(f"兴趣低于阈值 ({self.trigger_threshold}) 持续 {time_delta:.2f}秒. 概率从 {old_prob:.4f} 衰减到 {self.current_reply_probability:.4f} (因子: {self.probability_decay_factor})")
elif self.probability_decay_factor <= 0:
# 如果衰减因子无效或为0，直接清零
if self.current_reply_probability > 0:
logger.warning(f"无效的衰减因子 ({self.probability_decay_factor}). 设置概率为0.")
self.current_reply_probability = 0.0
# else: decay_factor >= 1, probability will not decay or increase, which might be intended in some cases.
# 确保概率不低于0
self.current_reply_probability = max(self.current_reply_probability, 0.0)
# 更新状态标记
self.is_above_threshold = currently_above
# 更新时间戳放在调用者处，确保 interest 和 probability 基于同一点更新
def increase_interest(self, current_time: float, value: float):
"""根据传入的值增加兴趣值，并记录增加量"""
# 先更新概率和计算衰减（基于上次更新时间）
self._update_reply_probability(current_time)
self._calculate_decay(current_time)
# 记录这次增加的具体数值，供外部判断是否触发
self.last_increase_amount = value
self.last_triggering_message = message
# 应用增加
self.interest_level += value
self.interest_level = min(self.interest_level, self.max_interest) # 不超过最大值
self.last_update_time = current_time # 更新时间戳
self.last_interaction_time = current_time # 更新最后交互时间
def decrease_interest(self, current_time: float, value: float):
"""降低兴趣值并更新时间 (确保不低于0)"""
# 先更新概率（基于上次更新时间）
self._update_reply_probability(current_time)
# 注意：降低兴趣度是否需要先衰减？取决于具体逻辑，这里假设不衰减直接减
self.interest_level -= value
self.interest_level = max(self.interest_level, 0.0) # 确保不低于0
self.last_update_time = current_time # 降低也更新时间戳
self.last_interaction_time = current_time # 更新最后交互时间
def reset_trigger_info(self):
"""重置触发相关信息，在外部任务处理后调用"""
self.last_increase_amount = 0.0
self.last_triggering_message = None
def get_interest(self) -> float:
"""获取当前兴趣值 (由后台任务更新)"""
"""获取当前兴趣值 (计算衰减后)"""
# 注意：这个方法现在会触发概率和兴趣的更新
current_time = time.time()
self._update_reply_probability(current_time)
self._calculate_decay(current_time)
self.last_update_time = current_time # 更新时间戳
return self.interest_level
def get_state(self) -> dict:
"""获取当前状态字典"""
# 不再需要传入 current_time 来计算，直接获取
interest = self.get_interest() # 使用修改后的 get_interest
# 调用 get_interest 来确保状态已更新
interest = self.get_interest()
return {
"interest_level": round(interest, 2),
"last_update_time": self.last_update_time,
"current_reply_probability": round(self.current_reply_probability, 4), # 添加概率到状态
"is_above_threshold": self.is_above_threshold, # 添加阈值状态
"last_interaction_time": self.last_interaction_time # 新增：添加最后交互时间到状态
# 可以选择性地暴露 last_increase_amount 给状态，方便调试
# "last_increase_amount": round(self.last_increase_amount, 2)
}
def should_evaluate_reply(self) -> bool:
"""
判断是否应该触发一次回复评估。
首先更新概率状态，然后根据当前概率进行随机判断。
"""
current_time = time.time()
# 确保概率是基于最新兴趣值计算的
self._update_reply_probability(current_time)
# 更新兴趣衰减（如果需要，取决于逻辑，这里保持和 get_interest 一致）
self._calculate_decay(current_time)
self.last_update_time = current_time # 更新时间戳
if self.is_above_threshold and self.current_reply_probability > 0:
# 只有在阈值之上且概率大于0时才有可能触发
trigger = random.random() < self.current_reply_probability
if trigger:
logger.info(f"Reply evaluation triggered! Probability: {self.current_reply_probability:.4f}, Threshold: {self.trigger_threshold}, Interest: {self.interest_level:.2f}")
# 可选：触发后是否重置/降低概率？根据需要决定
# self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
# self.current_reply_probability *= 0.5 # 例如，触发后概率减半
else:
logger.debug(f"Reply evaluation NOT triggered. Probability: {self.current_reply_probability:.4f}, Random value: {trigger + 1e-9:.4f}") # 打印随机值用于调试
return trigger
else:
# logger.debug(f"Reply evaluation check: Below threshold or zero probability. Probability: {self.current_reply_probability:.4f}")
return False
class InterestManager:
_instance = None
@@ -156,14 +275,14 @@ class InterestManager:
"""后台清理任务的异步函数"""
while True:
await asyncio.sleep(interval_seconds)
logger.info(f"Running periodic cleanup (interval: {interval_seconds}s)...")
logger.info(f"运行定期清理 (间隔: {interval_seconds}秒)...")
self.cleanup_inactive_chats(threshold=threshold, max_age_seconds=max_age_seconds)
async def _periodic_log_task(self, interval_seconds: int):
"""后台日志记录任务的异步函数 (记录历史数据，包含 group_name)"""
while True:
await asyncio.sleep(interval_seconds)
logger.debug(f"Running periodic history logging (interval: {interval_seconds}s)...")
logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
try:
current_timestamp = time.time()
all_states = self.get_all_interest_states() # 获取当前所有状态
@@ -190,7 +309,11 @@ class InterestManager:
"timestamp": round(current_timestamp, 2),
"stream_id": stream_id,
"interest_level": state.get("interest_level", 0.0), # 确保有默认值
"group_name": group_name # *** Add group_name ***
"group_name": group_name, # *** Add group_name ***
# --- 新增：记录概率相关信息 ---
"reply_probability": state.get("current_reply_probability", 0.0),
"is_above_threshold": state.get("is_above_threshold", False)
# --- 结束新增 ---
}
# 将每个条目作为单独的 JSON 行写入
f.write(json.dumps(log_entry, ensure_ascii=False) + '\n')
@@ -230,7 +353,7 @@ class InterestManager:
# logger.debug(f"Applied decay to {count} streams.")
async def start_background_tasks(self):
"""Starts the background cleanup, logging, and decay tasks."""
"""启动清理，启动衰减，启动记录，启动启动启动启动启动"""
if self._cleanup_task is None or self._cleanup_task.done():
self._cleanup_task = asyncio.create_task(
self._periodic_cleanup_task(
@@ -239,26 +362,26 @@ class InterestManager:
max_age_seconds=INACTIVE_THRESHOLD_SECONDS
)
)
logger.info(f"Periodic cleanup task created. Interval: {CLEANUP_INTERVAL_SECONDS}s, Inactive Threshold: {INACTIVE_THRESHOLD_SECONDS}s")
logger.info(f"已创建定期清理任务。间隔时间: {CLEANUP_INTERVAL_SECONDS}秒, 不活跃阈值: {INACTIVE_THRESHOLD_SECONDS}秒")
else:
logger.warning("Cleanup task creation skipped: already running or exists.")
logger.warning("跳过创建清理任务:任务已在运行或存在。")
if self._logging_task is None or self._logging_task.done():
self._logging_task = asyncio.create_task(
self._periodic_log_task(interval_seconds=LOG_INTERVAL_SECONDS)
)
logger.info(f"Periodic logging task created. Interval: {LOG_INTERVAL_SECONDS}s")
logger.info(f"已创建定期日志任务。间隔时间: {LOG_INTERVAL_SECONDS}秒")
else:
logger.warning("Logging task creation skipped: already running or exists.")
logger.warning("跳过创建日志任务:任务已在运行或存在。")
# 启动新的衰减任务
if self._decay_task is None or self._decay_task.done():
self._decay_task = asyncio.create_task(
self._periodic_decay_task()
)
logger.info("Periodic decay task created. Interval: 1s")
logger.info("已创建定期衰减任务。间隔时间: 1秒")
else:
logger.warning("Decay task creation skipped: already running or exists.")
logger.warning("跳过创建衰减任务:任务已在运行或存在。")
def get_all_interest_states(self) -> dict[str, dict]:
"""获取所有聊天流的当前兴趣状态"""
@@ -287,7 +410,16 @@ class InterestManager:
# with self._lock:
if stream_id not in self.interest_dict:
logger.debug(f"Creating new InterestChatting for stream_id: {stream_id}")
self.interest_dict[stream_id] = InterestChatting()
# --- 修改：创建时传入概率相关参数 (如果需要定制化，否则使用默认值) ---
self.interest_dict[stream_id] = InterestChatting(
# decay_rate=..., max_interest=..., # 可以从配置读取
trigger_threshold=REPLY_TRIGGER_THRESHOLD, # 使用全局常量
base_reply_probability=BASE_REPLY_PROBABILITY,
increase_rate=PROBABILITY_INCREASE_RATE_PER_SECOND,
decay_factor=PROBABILITY_DECAY_FACTOR_PER_SECOND,
max_probability=MAX_REPLY_PROBABILITY
)
# --- 结束修改 ---
# 首次创建时兴趣为 0，由第一次消息的 activate rate 决定初始值
return self.interest_dict[stream_id]
@@ -298,13 +430,13 @@ class InterestManager:
# 直接调用修改后的 get_interest，不传入时间
return interest_chatting.get_interest()
def increase_interest(self, stream_id: str, value: float, message: MessageRecv):
"""当收到消息时，增加指定聊天流的兴趣度，并传递关联消息"""
def increase_interest(self, stream_id: str, value: float):
"""当收到消息时，增加指定聊天流的兴趣度"""
current_time = time.time()
interest_chatting = self._get_or_create_interest_chatting(stream_id)
# 调用修改后的 increase_interest，传入 message
interest_chatting.increase_interest(current_time, value, message)
logger.debug(f"Increased interest for stream_id: {stream_id} by {value:.2f} to {interest_chatting.interest_level:.2f}") # 更新日志
# 调用修改后的 increase_interest，不再传入 message
interest_chatting.increase_interest(current_time, value)
logger.debug(f"增加了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
def decrease_interest(self, stream_id: str, value: float):
"""降低指定聊天流的兴趣度"""
@@ -313,13 +445,13 @@ class InterestManager:
interest_chatting = self.get_interest_chatting(stream_id)
if interest_chatting:
interest_chatting.decrease_interest(current_time, value)
logger.debug(f"Decreased interest for stream_id: {stream_id} by {value:.2f} to {interest_chatting.interest_level:.2f}")
logger.debug(f"降低了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
else:
logger.warning(f"Attempted to decrease interest for non-existent stream_id: {stream_id}")
logger.warning(f"尝试降低不存在的聊天流 {stream_id} 的兴趣度")
def cleanup_inactive_chats(self, threshold=MIN_INTEREST_THRESHOLD, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
"""
清理长时间不活跃或兴趣度过低的聊天流记录
清理长时间不活跃的聊天流记录
threshold: 低于此兴趣度的将被清理
max_age_seconds: 超过此时间未更新的将被清理
"""
@@ -334,37 +466,27 @@ class InterestManager:
# 先计算当前兴趣，确保是最新的
# 加锁保护 chatting 对象状态的读取和可能的修改
# with self._lock: # 如果 InterestChatting 内部操作不是原子的
interest = chatting.get_interest()
last_update = chatting.last_update_time
last_interaction = chatting.last_interaction_time # 使用最后交互时间
should_remove = False
reason = ""
if interest < threshold:
should_remove = True
reason = f"interest ({interest:.2f}) < threshold ({threshold})"
# 只有设置了 max_age_seconds 才检查时间
if max_age_seconds is not None and (current_time - last_update) > max_age_seconds:
if max_age_seconds is not None and (current_time - last_interaction) > max_age_seconds: # 使用 last_interaction
should_remove = True
reason = f"inactive time ({current_time - last_update:.0f}s) > max age ({max_age_seconds}s)" + (f", {reason}" if reason else "") # 附加之前的理由
reason = f"inactive time ({current_time - last_interaction:.0f}s) > max age ({max_age_seconds}s)" # 更新日志信息
if should_remove:
keys_to_remove.append(stream_id)
logger.debug(f"Marking stream_id {stream_id} for removal. Reason: {reason}")
if keys_to_remove:
logger.info(f"Cleanup identified {len(keys_to_remove)} inactive/low-interest streams.")
logger.info(f"清理识别到 {len(keys_to_remove)} 个不活跃/低兴趣的流。")
# with self._lock: # 确保删除操作的原子性
for key in keys_to_remove:
# 再次检查 key 是否存在，以防万一在迭代和删除之间状态改变
if key in self.interest_dict:
del self.interest_dict[key]
logger.debug(f"Removed stream_id: {key}")
logger.debug(f"移除了流_id: {key}")
final_count = initial_count - len(keys_to_remove)
logger.info(f"Cleanup finished. Removed {len(keys_to_remove)} streams. Current count: {final_count}")
logger.info(f"清理完成。移除了 {len(keys_to_remove)} 个流。当前数量: {final_count}")
else:
logger.info(f"Cleanup finished. No streams met removal criteria. Current count: {initial_count}")
# 不再需要手动创建实例和任务
# manager = InterestManager()
# asyncio.create_task(periodic_cleanup(manager, 3600))
logger.info(f"清理完成。没有流符合移除条件。当前数量: {initial_count}")