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🤖 自动格式化代码 [skip ci]

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This commit is contained in:
github-actions[bot]
2025-04-12 16:46:11 +00:00
parent e1f272d9c5
commit 46da415d98
43 changed files with 498 additions and 532 deletions
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11
src/heart_flow/heartflow.py
View File

@@ -43,12 +43,11 @@ def init_prompt():
class CurrentState:
def __init__(self):
self.current_state_info = ""
self.mood_manager = MoodManager()
self.mood = self.mood_manager.get_prompt()
self.attendance_factor = 0
self.engagement_factor = 0
@@ -66,9 +65,6 @@ class Heartflow:
)
self._subheartflows: Dict[Any, SubHeartflow] = {}
async def _cleanup_inactive_subheartflows(self):
"""定期清理不活跃的子心流"""
@@ -90,7 +86,7 @@ class Heartflow:
logger.info(f"已清理不活跃的子心流: {subheartflow_id}")
await asyncio.sleep(30) # 每分钟检查一次
async def _sub_heartflow_update(self):
while True:
# 检查是否存在子心流
@@ -103,13 +99,12 @@ class Heartflow:
await asyncio.sleep(global_config.heart_flow_update_interval) # 5分钟思考一次
async def heartflow_start_working(self):
# 启动清理任务
asyncio.create_task(self._cleanup_inactive_subheartflows())
# 启动子心流更新任务
asyncio.create_task(self._sub_heartflow_update())
async def _update_current_state(self):
print("TODO")

2
src/heart_flow/observation.py
View File

@@ -150,7 +150,7 @@ class ChattingObservation(Observation):
except Exception as e:
print(f"获取总结失败: {e}")
updated_observe_info = ""
return updated_observe_info
# print(f"prompt：{prompt}")
# print(f"self.observe_info：{self.observe_info}")

51
src/heart_flow/sub_heartflow.py
View File

@@ -5,9 +5,11 @@ from src.plugins.models.utils_model import LLM_request
from src.plugins.config.config import global_config
import re
import time
# from src.plugins.schedule.schedule_generator import bot_schedule
# from src.plugins.memory_system.Hippocampus import HippocampusManager
from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG # noqa: E402
# from src.plugins.chat.utils import get_embedding
# from src.common.database import db
# from typing import Union
@@ -17,7 +19,7 @@ from src.plugins.chat.chat_stream import ChatStream
from src.plugins.person_info.relationship_manager import relationship_manager
from src.plugins.chat.utils import get_recent_group_speaker
from src.do_tool.tool_use import ToolUser
from ..plugins.utils.prompt_builder import Prompt,global_prompt_manager
from ..plugins.utils.prompt_builder import Prompt, global_prompt_manager
subheartflow_config = LogConfig(
# 使用海马体专用样式
@@ -26,6 +28,7 @@ subheartflow_config = LogConfig(
)
logger = get_module_logger("subheartflow", config=subheartflow_config)
def init_prompt():
prompt = ""
# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
@@ -41,7 +44,7 @@ def init_prompt():
prompt += "思考时可以想想如何对群聊内容进行回复。回复的要求是：平淡一些，简短一些，说中文，尽量不要说你说过的话\n"
prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写"
prompt += "记得结合上述的消息，生成内心想法，文字不要浮夸，注意你就是{bot_name}，{bot_name}指的就是你。"
Prompt(prompt,"sub_heartflow_prompt_before")
Prompt(prompt, "sub_heartflow_prompt_before")
prompt = ""
# prompt += f"你现在正在做的事情是：{schedule_info}\n"
prompt += "{prompt_personality}\n"
@@ -52,8 +55,7 @@ def init_prompt():
prompt += "你现在{mood_info}"
prompt += "现在你接下去继续思考，产生新的想法，记得保留你刚刚的想法，不要分点输出，输出连贯的内心独白"
prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，关注你回复的内容，不要思考太多:"
Prompt(prompt,'sub_heartflow_prompt_after')
Prompt(prompt, "sub_heartflow_prompt_after")
class CurrentState:
@@ -78,7 +80,6 @@ class SubHeartflow:
self.llm_model = LLM_request(
model=global_config.llm_sub_heartflow, temperature=0.2, max_tokens=600, request_type="sub_heart_flow"
)
self.main_heartflow_info = ""
@@ -93,9 +94,9 @@ class SubHeartflow:
self.observations: list[Observation] = []
self.running_knowledges = []
self.bot_name = global_config.BOT_NICKNAME
self.tool_user = ToolUser()
def add_observation(self, observation: Observation):
@@ -145,12 +146,12 @@ class SubHeartflow:
): # 5分钟无回复/不在场，销毁
logger.info(f"子心流 {self.subheartflow_id} 已经5分钟没有激活，正在销毁...")
break # 退出循环，销毁自己
async def do_observe(self):
observation = self.observations[0]
await observation.observe()
async def do_thinking_before_reply(self, message_txt:str, sender_name:str, chat_stream:ChatStream):
async def do_thinking_before_reply(self, message_txt: str, sender_name: str, chat_stream: ChatStream):
current_thinking_info = self.current_mind
mood_info = self.current_state.mood
# mood_info = "你很生气，很愤怒"
@@ -160,12 +161,12 @@ class SubHeartflow:
# 首先尝试使用工具获取更多信息
tool_result = await self.tool_user.use_tool(message_txt, sender_name, chat_stream)
# 如果工具被使用且获得了结果，将收集到的信息合并到思考中
collected_info = ""
if tool_result.get("used_tools", False):
logger.info("使用工具收集了信息")
# 如果有收集到的信息，将其添加到当前思考中
if "collected_info" in tool_result:
collected_info = tool_result["collected_info"]
@@ -185,7 +186,7 @@ class SubHeartflow:
identity_detail = individuality.identity.identity_detail
random.shuffle(identity_detail)
prompt_personality += f",{identity_detail[0]}"
# 关系
who_chat_in_group = [
(chat_stream.user_info.platform, chat_stream.user_info.user_id, chat_stream.user_info.user_nickname)
@@ -204,9 +205,9 @@ class SubHeartflow:
# f"{relation_prompt}关系等级越大，关系越好，请分析聊天记录，"
# f"根据你和说话者{sender_name}的关系和态度进行回复，明确你的立场和情感。"
# )
relation_prompt_all = (await global_prompt_manager.get_prompt_async('relationship_prompt')).format(
relation_prompt,sender_name
)
relation_prompt_all = (await global_prompt_manager.get_prompt_async("relationship_prompt")).format(
relation_prompt, sender_name
)
# prompt = ""
# # prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
@@ -224,9 +225,16 @@ class SubHeartflow:
# prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写"
# prompt += f"记得结合上述的消息，生成内心想法，文字不要浮夸，注意你就是{self.bot_name}，{self.bot_name}指的就是你。"
prompt= (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_before")).format(
collected_info,relation_prompt_all,prompt_personality,current_thinking_info,chat_observe_info,mood_info,sender_name,
message_txt,self.bot_name
prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_before")).format(
collected_info,
relation_prompt_all,
prompt_personality,
current_thinking_info,
chat_observe_info,
mood_info,
sender_name,
message_txt,
self.bot_name,
)
try:
@@ -281,10 +289,10 @@ class SubHeartflow:
# prompt += f"你现在{mood_info}"
# prompt += "现在你接下去继续思考，产生新的想法，记得保留你刚刚的想法，不要分点输出，输出连贯的内心独白"
# prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，关注你回复的内容，不要思考太多:"
prompt=(await global_prompt_manager.get_prompt_async('sub_heartflow_prompt_after')).format(
prompt_personality,chat_observe_info,current_thinking_info,message_new_info,reply_info,mood_info
prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_after")).format(
prompt_personality, chat_observe_info, current_thinking_info, message_new_info, reply_info, mood_info
)
try:
response, reasoning_content = await self.llm_model.generate_response_async(prompt)
except Exception as e:
@@ -343,5 +351,6 @@ class SubHeartflow:
self.past_mind.append(self.current_mind)
self.current_mind = response
init_prompt()
# subheartflow = SubHeartflow()