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🤖 自动格式化代码 [skip ci]

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github-actions[bot]
2025-06-14 14:11:34 +00:00
parent 529572b82b
commit 9d0ce51bf4
1 changed files with 18 additions and 14 deletions
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18
src/chat/normal_chat/normal_chat.py
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@@ -693,7 +693,6 @@ class NormalChat:
f"[{self.stream_name}] 用户 {person_id} 消息次数更新: {self.engaging_persons[person_id]['receive_count']}"
)
async def _check_relation_building_conditions(self):
"""检查engaging_persons中是否有满足关系构建条件的用户"""
current_time = time.time()
@@ -701,9 +700,7 @@ class NormalChat:
for person_id, stats in list(self.engaging_persons.items()):
# 计算时间差和消息数量
time_elapsed = current_time - stats["first_time"]
total_messages = self._get_total_messages_in_timerange(
stats["first_time"], stats["last_time"]
)
total_messages = self._get_total_messages_in_timerange(stats["first_time"], stats["last_time"])
print(f"person_id: {person_id}, total_messages: {total_messages}, time_elapsed: {time_elapsed}")
@@ -729,7 +726,6 @@ class NormalChat:
del self.engaging_persons[person_id]
logger.info(f"[{self.stream_name}] 用户 {person_id} 评估完成，已移除记录，将重新开始统计")
def _get_total_messages_in_timerange(self, start_time: float, end_time: float) -> int:
"""获取指定时间范围内的总消息数量"""
try:
@@ -752,14 +748,22 @@ class NormalChat:
# k=7时，0.05比率对应约0.4概率，0.1比率对应约0.6概率，0.2比率对应约0.8概率
k_reply = 7
base_reply_prob = 0.1 # 基础概率10%
reply_build_probability = (math.log(1 + reply_ratio * k_reply) / math.log(1 + k_reply)) * 0.9 + base_reply_prob if reply_ratio > 0 else base_reply_prob
reply_build_probability = (
(math.log(1 + reply_ratio * k_reply) / math.log(1 + k_reply)) * 0.9 + base_reply_prob
if reply_ratio > 0
else base_reply_prob
)
# 计算接收概率（receive_count的影响）
receive_ratio = receive_count / total_messages if total_messages > 0 else 0
# 接收概率使用更温和的对数曲线，最大0.5，基础0.08
k_receive = 6
base_receive_prob = 0.08 # 基础概率8%
receive_build_probability = (math.log(1 + receive_ratio * k_receive) / math.log(1 + k_receive)) * 0.42 + base_receive_prob if receive_ratio > 0 else base_receive_prob
receive_build_probability = (
(math.log(1 + receive_ratio * k_receive) / math.log(1 + k_receive)) * 0.42 + base_receive_prob
if receive_ratio > 0
else base_receive_prob
)
# 取最高概率
final_probability = max(reply_build_probability, receive_build_probability)