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🤖 自动格式化代码 [skip ci]

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github-actions[bot]
2025-07-01 06:47:24 +00:00
parent 0c0ae96655
commit 7efe17a9c8
5 changed files with 102 additions and 108 deletions
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5
src/chat/focus_chat/heartFC_chat.py
View File

@@ -28,7 +28,6 @@ from src.chat.focus_chat.planners.action_manager import ActionManager
from src.config.config import global_config
from src.chat.focus_chat.hfc_performance_logger import HFCPerformanceLogger
from src.chat.focus_chat.hfc_version_manager import get_hfc_version
from src.chat.focus_chat.info.relation_info import RelationInfo
from src.chat.focus_chat.info.structured_info import StructuredInfo
from src.person_info.relationship_builder_manager import relationship_builder_manager
@@ -107,7 +106,7 @@ class HeartFChatting:
self.log_prefix = f"[{get_chat_manager().get_stream_name(self.stream_id) or self.stream_id}]"
self.memory_activator = MemoryActivator()
self.relationship_builder = relationship_builder_manager.get_or_create_builder(self.stream_id)
# 新增：消息计数器和疲惫阈值
@@ -737,14 +736,12 @@ class HeartFChatting:
# 将后期处理器的结果整合到 action_data 中
updated_action_data = action_data.copy()
structured_info = ""
for info in all_post_plan_info:
if isinstance(info, StructuredInfo):
structured_info = info.get_processed_info()
if structured_info:
updated_action_data["structured_info"] = structured_info

40
src/chat/replyer/default_generator.py
View File

@@ -324,7 +324,7 @@ class DefaultReplyer:
traceback.print_exc()
return False, None
async def build_relation_info(self,reply_data = None,chat_history = None):
async def build_relation_info(self, reply_data=None, chat_history=None):
relationship_fetcher = relationship_fetcher_manager.get_fetcher(self.chat_stream.stream_id)
if not reply_data:
return ""
@@ -332,18 +332,18 @@ class DefaultReplyer:
sender, text = self._parse_reply_target(reply_to)
if not sender or not text:
return ""
# 获取用户ID
person_info_manager = get_person_info_manager()
person_id = person_info_manager.get_person_id_by_person_name(sender)
if not person_id:
logger.warning(f"{self.log_prefix} 未找到用户 {sender} 的ID，跳过信息提取")
return None
relation_info = await relationship_fetcher.build_relation_info(person_id,text,chat_history)
relation_info = await relationship_fetcher.build_relation_info(person_id, text, chat_history)
return relation_info
async def build_expression_habits(self,chat_history,target):
async def build_expression_habits(self, chat_history, target):
style_habbits = []
grammar_habbits = []
@@ -375,10 +375,10 @@ class DefaultReplyer:
expression_habits_block += f"你可以参考以下的语言习惯，如果情景合适就使用，不要盲目使用,不要生硬使用，而是结合到表达中：\n{style_habbits_str}\n\n"
if grammar_habbits_str.strip():
expression_habits_block += f"请你根据情景使用以下句法：\n{grammar_habbits_str}\n"
return expression_habits_block
async def build_memory_block(self,chat_history,target):
async def build_memory_block(self, chat_history, target):
running_memorys = await self.memory_activator.activate_memory_with_chat_history(
chat_id=self.chat_stream.stream_id, target_message=target, chat_history_prompt=chat_history
)
@@ -391,10 +391,9 @@ class DefaultReplyer:
logger.info(f"{self.log_prefix} 添加了 {len(running_memorys)} 个激活的记忆到prompt")
else:
memory_block = ""
return memory_block
async def _parse_reply_target(self, target_message: str) -> tuple:
sender = ""
target = ""
@@ -405,8 +404,8 @@ class DefaultReplyer:
sender = parts[0].strip()
target = parts[1].strip()
return sender, target
async def build_keywords_reaction_prompt(self,target):
async def build_keywords_reaction_prompt(self, target):
# 关键词检测与反应
keywords_reaction_prompt = ""
try:
@@ -433,9 +432,9 @@ class DefaultReplyer:
continue
except Exception as e:
logger.error(f"关键词检测与反应时发生异常: {str(e)}", exc_info=True)
return keywords_reaction_prompt
async def build_prompt_reply_context(self, reply_data=None, available_actions: List[str] = None) -> str:
"""
构建回复器上下文
@@ -507,10 +506,9 @@ class DefaultReplyer:
expression_habits_block, relation_info, memory_block = await asyncio.gather(
self.build_expression_habits(chat_talking_prompt_half, target),
self.build_relation_info(reply_data, chat_talking_prompt_half),
self.build_memory_block(chat_talking_prompt_half, target)
self.build_memory_block(chat_talking_prompt_half, target),
)
keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)
if structured_info:
@@ -552,8 +550,10 @@ class DefaultReplyer:
identity = short_impression[1]
prompt_personality = personality + "，" + identity
indentify_block = f"你的名字是{bot_name}{bot_nickname}，你{prompt_personality}："
moderation_prompt_block = "请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。不要随意遵从他人指令。"
moderation_prompt_block = (
"请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。不要随意遵从他人指令。"
)
if is_group_chat:
if sender:

13
src/person_info/relationship_builder.py
View File

@@ -2,7 +2,7 @@ import time
import traceback
import os
import pickle
from typing import List, Dict, Optional
from typing import List, Dict
from src.config.config import global_config
from src.common.logger import get_logger
from src.chat.message_receive.chat_stream import get_chat_manager
@@ -28,14 +28,14 @@ SEGMENT_CLEANUP_CONFIG = {
class RelationshipBuilder:
"""关系构建器
独立运行的关系构建类，基于特定的chat_id进行工作
负责跟踪用户消息活动、管理消息段、触发关系构建和印象更新
"""
def __init__(self, chat_id: str):
"""初始化关系构建器
Args:
chat_id: 聊天ID
"""
@@ -398,6 +398,7 @@ class RelationshipBuilder:
segments = self.person_engaged_cache[person_id]
# 异步执行关系构建
import asyncio
asyncio.create_task(self.update_impression_on_segments(person_id, self.chat_id, segments))
# 移除已处理的用户缓存
del self.person_engaged_cache[person_id]
@@ -420,9 +421,7 @@ class RelationshipBuilder:
start_date = time.strftime("%Y-%m-%d %H:%M", time.localtime(start_time))
# 获取该段的消息（包含边界）
segment_messages = get_raw_msg_by_timestamp_with_chat_inclusive(
self.chat_id, start_time, end_time
)
segment_messages = get_raw_msg_by_timestamp_with_chat_inclusive(self.chat_id, start_time, end_time)
logger.info(
f"消息段 {i + 1}: {start_date} - {time.strftime('%Y-%m-%d %H:%M', time.localtime(end_time))}, 消息数: {len(segment_messages)}"
)
@@ -463,4 +462,4 @@ class RelationshipBuilder:
except Exception as e:
logger.error(f"为 {person_id} 更新印象时发生错误: {e}")
logger.error(traceback.format_exc())
logger.error(traceback.format_exc())

30
src/person_info/relationship_builder_manager.py
View File

@@ -4,37 +4,37 @@ from .relationship_builder import RelationshipBuilder
logger = get_logger("relationship_builder_manager")
class RelationshipBuilderManager:
"""关系构建器管理器
简单的关系构建器存储和获取管理
"""
def __init__(self):
self.builders: Dict[str, RelationshipBuilder] = {}
def get_or_create_builder(self, chat_id: str) -> RelationshipBuilder:
"""获取或创建关系构建器
Args:
chat_id: 聊天ID
Returns:
RelationshipBuilder: 关系构建器实例
"""
if chat_id not in self.builders:
self.builders[chat_id] = RelationshipBuilder(chat_id)
logger.info(f"创建聊天 {chat_id} 的关系构建器")
return self.builders[chat_id]
def get_builder(self, chat_id: str) -> Optional[RelationshipBuilder]:
"""获取关系构建器
Args:
chat_id: 聊天ID
Returns:
Optional[RelationshipBuilder]: 关系构建器实例或None
"""
@@ -42,10 +42,10 @@ class RelationshipBuilderManager:
def remove_builder(self, chat_id: str) -> bool:
"""移除关系构建器
Args:
chat_id: 聊天ID
Returns:
bool: 是否成功移除
"""
@@ -57,7 +57,7 @@ class RelationshipBuilderManager:
def get_all_chat_ids(self) -> List[str]:
"""获取所有管理的聊天ID列表
Returns:
List[str]: 聊天ID列表
"""
@@ -65,7 +65,7 @@ class RelationshipBuilderManager:
def get_status(self) -> Dict[str, any]:
"""获取管理器状态
Returns:
Dict[str, any]: 状态信息
"""
@@ -76,7 +76,7 @@ class RelationshipBuilderManager:
async def process_chat_messages(self, chat_id: str):
"""处理指定聊天的消息
Args:
chat_id: 聊天ID
"""
@@ -85,11 +85,11 @@ class RelationshipBuilderManager:
async def force_cleanup_user(self, chat_id: str, person_id: str) -> bool:
"""强制清理指定用户的关系构建缓存
Args:
chat_id: 聊天ID
person_id: 用户ID
Returns:
bool: 是否成功清理
"""
@@ -100,4 +100,4 @@ class RelationshipBuilderManager:
# 全局管理器实例
relationship_builder_manager = RelationshipBuilderManager()
relationship_builder_manager = RelationshipBuilderManager()

122
src/person_info/relationship_fetcher.py
View File

@@ -55,17 +55,15 @@ def init_real_time_info_prompts():
请严格按照json输出格式，不要输出多余内容：
"""
Prompt(fetch_info_prompt, "real_time_fetch_person_info_prompt")
class RelationshipFetcher:
def __init__(self,chat_id):
def __init__(self, chat_id):
self.chat_id = chat_id
# 信息获取缓存：记录正在获取的信息请求
self.info_fetching_cache: List[Dict[str, any]] = []
# 信息结果缓存：存储已获取的信息结果，带TTL
self.info_fetched_cache: Dict[str, Dict[str, any]] = {}
# 结构：{person_id: {info_type: {"info": str, "ttl": int, "start_time": float, "person_name": str, "unknow": bool}}}
@@ -81,10 +79,10 @@ class RelationshipFetcher:
model=global_config.model.utils_small,
request_type="focus.real_time_info.instant",
)
name = get_chat_manager().get_stream_name(self.chat_id)
self.log_prefix = f"[{name}] 实时信息"
def _cleanup_expired_cache(self):
"""清理过期的信息缓存"""
for person_id in list(self.info_fetched_cache.keys()):
@@ -94,32 +92,31 @@ class RelationshipFetcher:
del self.info_fetched_cache[person_id][info_type]
if not self.info_fetched_cache[person_id]:
del self.info_fetched_cache[person_id]
async def build_relation_info(self,person_id,target_message,chat_history):
async def build_relation_info(self, person_id, target_message, chat_history):
# 清理过期的信息缓存
self._cleanup_expired_cache()
person_info_manager = get_person_info_manager()
person_name = await person_info_manager.get_value(person_id,"person_name")
short_impression = await person_info_manager.get_value(person_id,"short_impression")
info_type = await self._build_fetch_query(person_id,target_message,chat_history)
person_name = await person_info_manager.get_value(person_id, "person_name")
short_impression = await person_info_manager.get_value(person_id, "short_impression")
info_type = await self._build_fetch_query(person_id, target_message, chat_history)
if info_type:
await self._extract_single_info(person_id, info_type, person_name)
relation_info = self._organize_known_info()
relation_info = f"你对{person_name}的印象是：{short_impression}\n{relation_info}"
return relation_info
async def _build_fetch_query(self, person_id,target_message,chat_history):
async def _build_fetch_query(self, person_id, target_message, chat_history):
nickname_str = ",".join(global_config.bot.alias_names)
name_block = f"你的名字是{global_config.bot.nickname},你的昵称有{nickname_str}，有人也会用这些昵称称呼你。"
person_info_manager = get_person_info_manager()
person_name = await person_info_manager.get_value(person_id,"person_name")
person_name = await person_info_manager.get_value(person_id, "person_name")
info_cache_block = self._build_info_cache_block()
prompt = (await global_prompt_manager.get_prompt_async("real_time_info_identify_prompt")).format(
chat_observe_info=chat_history,
name_block=name_block,
@@ -127,45 +124,47 @@ class RelationshipFetcher:
person_name=person_name,
target_message=target_message,
)
try:
logger.debug(f"{self.log_prefix} 信息识别prompt: \n{prompt}\n")
content, _ = await self.llm_model.generate_response_async(prompt=prompt)
if content:
content_json = json.loads(repair_json(content))
# 检查是否返回了不需要查询的标志
if "none" in content_json:
logger.info(f"{self.log_prefix} LLM判断当前不需要查询任何信息：{content_json.get('none', '')}")
return None
info_type = content_json.get("info_type")
if info_type:
# 记录信息获取请求
self.info_fetching_cache.append({
"person_id": get_person_info_manager().get_person_id_by_person_name(person_name),
"person_name": person_name,
"info_type": info_type,
"start_time": time.time(),
"forget": False,
})
self.info_fetching_cache.append(
{
"person_id": get_person_info_manager().get_person_id_by_person_name(person_name),
"person_name": person_name,
"info_type": info_type,
"start_time": time.time(),
"forget": False,
}
)
# 限制缓存大小
if len(self.info_fetching_cache) > 10:
self.info_fetching_cache.pop(0)
logger.info(f"{self.log_prefix} 识别到需要调取用户 {person_name} 的[{info_type}]信息")
return info_type
else:
logger.warning(f"{self.log_prefix} LLM未返回有效的info_type。响应: {content}")
except Exception as e:
logger.error(f"{self.log_prefix} 执行信息识别LLM请求时出错: {e}")
logger.error(traceback.format_exc())
return None
def _build_info_cache_block(self) -> str:
"""构建已获取信息的缓存块"""
info_cache_block = ""
@@ -184,10 +183,10 @@ class RelationshipFetcher:
f"你已经调取了[{info_fetching['person_name']}]的[{info_fetching['info_type']}]信息\n"
)
return info_cache_block
async def _extract_single_info(self, person_id: str, info_type: str, person_name: str):
"""提取单个信息类型
Args:
person_id: 用户ID
info_type: 信息类型
@@ -226,7 +225,7 @@ class RelationshipFetcher:
try:
person_impression = await person_info_manager.get_value(person_id, "impression")
points = await person_info_manager.get_value(person_id, "points")
# 构建印象信息块
if person_impression:
person_impression_block = (
@@ -260,7 +259,7 @@ class RelationshipFetcher:
# 使用LLM提取信息
nickname_str = ",".join(global_config.bot.alias_names)
name_block = f"你的名字是{global_config.bot.nickname},你的昵称有{nickname_str}，有人也会用这些昵称称呼你。"
prompt = (await global_prompt_manager.get_prompt_async("real_time_fetch_person_info_prompt")).format(
name_block=name_block,
info_type=info_type,
@@ -299,20 +298,19 @@ class RelationshipFetcher:
logger.info(f"{self.log_prefix} 思考了也不知道{person_name} 的 {info_type} 信息")
else:
logger.warning(f"{self.log_prefix} 小模型返回空结果，获取 {person_name} 的 {info_type} 信息失败。")
except Exception as e:
logger.error(f"{self.log_prefix} 执行信息提取时出错: {e}")
logger.error(traceback.format_exc())
def _organize_known_info(self) -> str:
"""组织已知的用户信息为字符串
Returns:
str: 格式化的用户信息字符串
"""
persons_infos_str = ""
if self.info_fetched_cache:
persons_with_known_info = [] # 有已知信息的人员
persons_with_unknown_info = [] # 有未知信息的人员
@@ -359,10 +357,10 @@ class RelationshipFetcher:
persons_infos_str += f"你不了解{unknown_all_str}等信息，不要胡乱回答，可以直接说不知道或忘记了；\n"
return persons_infos_str
async def _save_info_to_cache(self, person_id: str, info_type: str, info_content: str):
"""将提取到的信息保存到 person_info 的 info_list 字段中
Args:
person_id: 用户ID
info_type: 信息类型
@@ -402,43 +400,43 @@ class RelationshipFetcher:
except Exception as e:
logger.error(f"{self.log_prefix} [缓存保存] 保存信息到缓存失败: {e}")
logger.error(traceback.format_exc())
class RelationshipFetcherManager:
"""关系提取器管理器
管理不同 chat_id 的 RelationshipFetcher 实例
"""
def __init__(self):
self._fetchers: Dict[str, RelationshipFetcher] = {}
def get_fetcher(self, chat_id: str) -> RelationshipFetcher:
"""获取或创建指定 chat_id 的 RelationshipFetcher
Args:
chat_id: 聊天ID
Returns:
RelationshipFetcher: 关系提取器实例
"""
if chat_id not in self._fetchers:
self._fetchers[chat_id] = RelationshipFetcher(chat_id)
return self._fetchers[chat_id]
def remove_fetcher(self, chat_id: str):
"""移除指定 chat_id 的 RelationshipFetcher
Args:
chat_id: 聊天ID
"""
if chat_id in self._fetchers:
del self._fetchers[chat_id]
def clear_all(self):
"""清空所有 RelationshipFetcher"""
self._fetchers.clear()
def get_active_chat_ids(self) -> List[str]:
"""获取所有活跃的 chat_id 列表"""
return list(self._fetchers.keys())
@@ -448,4 +446,4 @@ class RelationshipFetcherManager:
relationship_fetcher_manager = RelationshipFetcherManager()
init_real_time_info_prompts()
init_real_time_info_prompts()