ruff format

This commit is contained in:
tcmofashi
2025-06-01 08:09:31 +08:00
parent 7cb546c816
commit 48adf192d0
12 changed files with 239 additions and 189 deletions

View File

@@ -1,9 +1,10 @@
import time
import os
from typing import List, Optional, Dict, Any
from typing import Optional, Dict, Any
log_dir = "log/log_cycle_debug/"
class CycleDetail:
"""循环信息记录类"""
@@ -23,35 +24,40 @@ class CycleDetail:
def to_dict(self) -> Dict[str, Any]:
"""将循环信息转换为字典格式"""
def convert_to_serializable(obj, depth=0, seen=None):
if seen is None:
seen = set()
# 防止递归过深
if depth > 5: # 降低递归深度限制
return str(obj)
# 防止循环引用
obj_id = id(obj)
if obj_id in seen:
return str(obj)
seen.add(obj_id)
try:
if hasattr(obj, 'to_dict'):
if hasattr(obj, "to_dict"):
# 对于有to_dict方法的对象直接调用其to_dict方法
return obj.to_dict()
elif isinstance(obj, dict):
# 对于字典,只保留基本类型和可序列化的值
return {k: convert_to_serializable(v, depth + 1, seen)
for k, v in obj.items()
if isinstance(k, (str, int, float, bool))}
return {
k: convert_to_serializable(v, depth + 1, seen)
for k, v in obj.items()
if isinstance(k, (str, int, float, bool))
}
elif isinstance(obj, (list, tuple)):
# 对于列表和元组,只保留可序列化的元素
return [convert_to_serializable(item, depth + 1, seen)
for item in obj
if not isinstance(item, (dict, list, tuple)) or
isinstance(item, (str, int, float, bool, type(None)))]
return [
convert_to_serializable(item, depth + 1, seen)
for item in obj
if not isinstance(item, (dict, list, tuple))
or isinstance(item, (str, int, float, bool, type(None)))
]
elif isinstance(obj, (str, int, float, bool, type(None))):
return obj
else:
@@ -74,19 +80,19 @@ class CycleDetail:
def complete_cycle(self):
"""完成循环,记录结束时间"""
self.end_time = time.time()
# 处理 prefix只保留中英文字符
if not self.prefix:
self.prefix = "group"
else:
# 只保留中文和英文字符
self.prefix = ''.join(char for char in self.prefix if '\u4e00' <= char <= '\u9fff' or char.isascii())
self.prefix = "".join(char for char in self.prefix if "\u4e00" <= char <= "\u9fff" or char.isascii())
if not self.prefix:
self.prefix = "group"
current_time_minute = time.strftime("%Y%m%d_%H%M", time.localtime())
self.log_cycle_to_file(log_dir + self.prefix + f"/{current_time_minute}_cycle_" + str(self.cycle_id) + ".json")
def log_cycle_to_file(self, file_path: str):
"""将循环信息写入文件"""
# 如果目录不存在,则创建目录
@@ -95,6 +101,7 @@ class CycleDetail:
os.makedirs(dir_name, exist_ok=True)
# 写入文件
import json
with open(file_path, "a", encoding="utf-8") as f:
f.write(json.dumps(self.to_dict(), ensure_ascii=False) + "\n")

View File

@@ -418,7 +418,9 @@ class HeartFChatting:
# 记录耗时
processor_time_costs[processor_name] = duration_since_parallel_start
except asyncio.TimeoutError:
logger.info(f"{self.log_prefix} 处理器 {processor_name} 超时(>{global_config.focus_chat.processor_max_time}s已跳过")
logger.info(
f"{self.log_prefix} 处理器 {processor_name} 超时(>{global_config.focus_chat.processor_max_time}s已跳过"
)
processor_time_costs[processor_name] = global_config.focus_chat.processor_max_time
except Exception as e:
logger.error(
@@ -462,7 +464,7 @@ class HeartFChatting:
}
self.all_observations = observations
with Timer("调整动作", cycle_timers):
# 处理特殊的观察
await self.action_modifier.modify_actions(observations=observations)
@@ -476,26 +478,24 @@ class HeartFChatting:
with Timer("并行回忆和处理", cycle_timers):
memory_task = asyncio.create_task(self.memory_activator.activate_memory(observations))
processor_task = asyncio.create_task(self._process_processors(observations, []))
# 等待两个任务完成
running_memorys, (all_plan_info, processor_time_costs) = await asyncio.gather(memory_task, processor_task)
running_memorys, (all_plan_info, processor_time_costs) = await asyncio.gather(
memory_task, processor_task
)
else:
# 串行执行
with Timer("回忆", cycle_timers):
running_memorys = await self.memory_activator.activate_memory(observations)
with Timer("执行 信息处理器", cycle_timers):
all_plan_info, processor_time_costs = await self._process_processors(
observations, running_memorys
)
all_plan_info, processor_time_costs = await self._process_processors(observations, running_memorys)
loop_processor_info = {
"all_plan_info": all_plan_info,
"processor_time_costs": processor_time_costs,
}
with Timer("规划器", cycle_timers):
plan_result = await self.action_planner.plan(all_plan_info, running_memorys)

View File

@@ -30,7 +30,6 @@ class ActionModifier:
observations: Optional[List[Observation]] = None,
**kwargs: Any,
):
# 处理Observation对象
if observations:
# action_info = ActionInfo()
@@ -163,22 +162,34 @@ class ActionModifier:
if len(last_max_reply_num) >= max_reply_num and all(last_max_reply_num):
# 如果最近max_reply_num次都是reply直接移除
result["remove"].append("reply")
logger.info(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply直接移除")
logger.info(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply直接移除"
)
elif len(last_max_reply_num) >= sec_thres_reply_num and all(last_max_reply_num[-sec_thres_reply_num:]):
# 如果最近sec_thres_reply_num次都是reply40%概率移除
if random.random() < 0.4 / global_config.focus_chat.consecutive_replies:
result["remove"].append("reply")
logger.info(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.4 / global_config.focus_chat.consecutive_replies}概率移除,移除")
logger.info(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.4 / global_config.focus_chat.consecutive_replies}概率移除,移除"
)
else:
logger.debug(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.4 / global_config.focus_chat.consecutive_replies}概率移除,不移除")
logger.debug(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.4 / global_config.focus_chat.consecutive_replies}概率移除,不移除"
)
elif len(last_max_reply_num) >= one_thres_reply_num and all(last_max_reply_num[-one_thres_reply_num:]):
# 如果最近one_thres_reply_num次都是reply20%概率移除
if random.random() < 0.2 / global_config.focus_chat.consecutive_replies:
result["remove"].append("reply")
logger.info(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.2 / global_config.focus_chat.consecutive_replies}概率移除,移除")
logger.info(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.2 / global_config.focus_chat.consecutive_replies}概率移除,移除"
)
else:
logger.debug(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.2 / global_config.focus_chat.consecutive_replies}概率移除,不移除")
logger.debug(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply{0.2 / global_config.focus_chat.consecutive_replies}概率移除,不移除"
)
else:
logger.debug(f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply无需移除")
logger.debug(
f"最近{len(last_max_reply_num)}次回复中,有{no_reply_count}次no_reply{len(last_max_reply_num) - no_reply_count}次reply无需移除"
)
return result

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@@ -42,5 +42,5 @@ class ActionObservation:
"observe_id": self.observe_id,
"last_observe_time": self.last_observe_time,
"all_actions": self.all_actions,
"all_using_actions": self.all_using_actions
"all_using_actions": self.all_using_actions,
}

View File

@@ -81,7 +81,7 @@ class ChattingObservation(Observation):
"person_list": self.person_list,
"oldest_messages_str": self.oldest_messages_str,
"compressor_prompt": self.compressor_prompt,
"last_observe_time": self.last_observe_time
"last_observe_time": self.last_observe_time,
}
async def initialize(self):

View File

@@ -39,7 +39,7 @@ class HFCloopObservation:
responses_for_prompt = []
cycle_last_reason = ""
# 检查这最近的活动循环中有多少是连续的文本回复 (从最近的开始看)
for cycle in recent_active_cycles:
action_type = cycle.loop_plan_info["action_result"]["action_type"]
@@ -57,29 +57,33 @@ class HFCloopObservation:
action_reasoning_str = f"你选择这个action的原因是:{action_reasoning}"
else:
action_reasoning_str = ""
if action_type == "reply":
consecutive_text_replies += 1
response_text = cycle.loop_plan_info["action_result"]["action_data"].get("text", "[空回复]")
responses_for_prompt.append(response_text)
if is_taken:
action_detailed_str += f"{action_taken_time_str}时,你选择回复(action:{action_type},内容是:'{response_text}')。{action_reasoning_str}\n"
else:
action_detailed_str += f"{action_taken_time_str}时,你选择回复(action:{action_type},内容是:'{response_text}'),但是动作失败了。{action_reasoning_str}\n"
elif action_type == "no_reply":
action_detailed_str += f"{action_taken_time_str}时,你选择不回复(action:{action_type}){action_reasoning_str}\n"
action_detailed_str += (
f"{action_taken_time_str}时,你选择不回复(action:{action_type}){action_reasoning_str}\n"
)
else:
if is_taken:
action_detailed_str += f"{action_taken_time_str}时,你选择执行了(action:{action_type}){action_reasoning_str}\n"
action_detailed_str += (
f"{action_taken_time_str}时,你选择执行了(action:{action_type}){action_reasoning_str}\n"
)
else:
action_detailed_str += f"{action_taken_time_str}时,你选择执行了(action:{action_type}),但是动作失败了。{action_reasoning_str}\n"
if action_detailed_str:
cycle_info_block = f"\n你最近做的事:\n{action_detailed_str}\n"
else:
cycle_info_block = "\n"
# 根据连续文本回复的数量构建提示信息
if consecutive_text_replies >= 3: # 如果最近的三个活动都是文本回复
cycle_info_block = f'你已经连续回复了三条消息(最近: "{responses_for_prompt[0]}",第二近: "{responses_for_prompt[1]}",第三近: "{responses_for_prompt[2]}")。你回复的有点多了,请注意'
@@ -116,5 +120,5 @@ class HFCloopObservation:
"observe_id": self.observe_id,
"last_observe_time": self.last_observe_time,
# 不序列化history_loop避免循环引用
"history_loop_count": len(self.history_loop)
"history_loop_count": len(self.history_loop),
}

View File

@@ -18,7 +18,7 @@ class Observation:
return {
"observe_info": self.observe_info,
"observe_id": self.observe_id,
"last_observe_time": self.last_observe_time
"last_observe_time": self.last_observe_time,
}
async def observe(self):

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@@ -22,7 +22,7 @@ class StructureObservation:
"observe_id": self.observe_id,
"last_observe_time": self.last_observe_time,
"history_loop": self.history_loop,
"structured_info": self.structured_info
"structured_info": self.structured_info,
}
def get_observe_info(self):

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@@ -39,6 +39,10 @@ class WorkingMemoryObservation:
"observe_info": self.observe_info,
"observe_id": self.observe_id,
"last_observe_time": self.last_observe_time,
"working_memory": self.working_memory.to_dict() if hasattr(self.working_memory, 'to_dict') else str(self.working_memory),
"retrieved_working_memory": [item.to_dict() if hasattr(item, 'to_dict') else str(item) for item in self.retrieved_working_memory]
"working_memory": self.working_memory.to_dict()
if hasattr(self.working_memory, "to_dict")
else str(self.working_memory),
"retrieved_working_memory": [
item.to_dict() if hasattr(item, "to_dict") else str(item) for item in self.retrieved_working_memory
],
}