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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]
2025-06-20 11:20:41 +00:00
parent 7dafbff036
commit 865645e02d
5 changed files with 132 additions and 137 deletions
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25
src/chat/focus_chat/info_processors/relationship_processor.py
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@@ -536,14 +536,16 @@ class RelationshipProcessor(BaseProcessor):
# 对于每个(person_id, info_type)组合，只保留最新的记录
latest_records = {}
for info_fetching in self.info_fetching_cache:
key = (info_fetching['person_id'], info_fetching['info_type'])
if key not in latest_records or info_fetching['start_time'] > latest_records[key]['start_time']:
key = (info_fetching["person_id"], info_fetching["info_type"])
if key not in latest_records or info_fetching["start_time"] > latest_records[key]["start_time"]:
latest_records[key] = info_fetching
# 按时间排序并生成显示文本
sorted_records = sorted(latest_records.values(), key=lambda x: x['start_time'])
sorted_records = sorted(latest_records.values(), key=lambda x: x["start_time"])
for info_fetching in sorted_records:
info_cache_block += f"你已经调取了[{info_fetching['person_name']}]的[{info_fetching['info_type']}]信息\n"
info_cache_block += (
f"你已经调取了[{info_fetching['person_name']}]的[{info_fetching['info_type']}]信息\n"
)
prompt = (await global_prompt_manager.get_prompt_async("relationship_prompt")).format(
name_block=name_block,
@@ -625,7 +627,6 @@ class RelationshipProcessor(BaseProcessor):
if person_infos_str:
persons_infos_str += f"你对 {person_name} 的了解：{person_infos_str}\n"
return persons_infos_str
# ================================
@@ -747,7 +748,6 @@ class RelationshipProcessor(BaseProcessor):
logger.info(f"{self.log_prefix} [缓存命中] 从 info_list 中找到 {info_type} 信息: {cached_info}")
break
# 如果缓存中有信息，直接使用
if cached_info:
person_name = await person_info_manager.get_value(person_id, "person_name")
@@ -777,7 +777,9 @@ class RelationshipProcessor(BaseProcessor):
person_name = await person_info_manager.get_value(person_id, "person_name")
person_impression = await person_info_manager.get_value(person_id, "impression")
if person_impression:
person_impression_block = f"<对{person_name}的总体了解>\n{person_impression}\n</对{person_name}的总体了解>"
person_impression_block = (
f"<对{person_name}的总体了解>\n{person_impression}\n</对{person_name}的总体了解>"
)
else:
person_impression_block = ""
@@ -840,11 +842,15 @@ class RelationshipProcessor(BaseProcessor):
await self._save_info_to_cache(person_id, info_type, info_content if not is_unknown else "none")
if not is_unknown:
logger.info(f"{self.log_prefix} [LLM提取] 成功获取并缓存 {person_name} 的 {info_type}: {info_content}")
logger.info(
f"{self.log_prefix} [LLM提取] 成功获取并缓存 {person_name} 的 {info_type}: {info_content}"
)
else:
logger.info(f"{self.log_prefix} [LLM提取] {person_name} 的 {info_type} 信息不明确")
else:
logger.warning(f"{self.log_prefix} [LLM提取] 小模型返回空结果，获取 {person_name} 的 {info_type} 信息失败。")
logger.warning(
f"{self.log_prefix} [LLM提取] 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} [LLM提取] 执行小模型请求获取用户信息时出错: {e}")
logger.error(traceback.format_exc())
@@ -894,5 +900,4 @@ class RelationshipProcessor(BaseProcessor):
logger.error(traceback.format_exc())
init_prompt()

8
src/chat/focus_chat/info_processors/self_processor.py
View File

@@ -18,7 +18,6 @@ logger = get_logger("processor")
def init_prompt():
indentify_prompt = """
{time_now}，以下是正在进行的聊天内容：
<聊天记录>
@@ -57,8 +56,6 @@ class SelfProcessor(BaseProcessor):
name = get_chat_manager().get_stream_name(self.subheartflow_id)
self.log_prefix = f"[{name}] "
async def process_info(self, observations: List[Observation] = None, *infos) -> List[InfoBase]:
"""处理信息对象
@@ -129,7 +126,7 @@ class SelfProcessor(BaseProcessor):
time_now=time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),
chat_observe_info=chat_observe_info[-200:],
available_keywords=available_keywords_str,
bot_name = global_config.bot.nickname
bot_name=global_config.bot.nickname,
)
keyword = ""
@@ -147,7 +144,6 @@ class SelfProcessor(BaseProcessor):
logger.error(traceback.format_exc())
keyword = "我是谁，我从哪来，要到哪去"
# 解析关键词
keyword = keyword.strip()
if not keyword or keyword == "none":
@@ -181,7 +177,6 @@ class SelfProcessor(BaseProcessor):
for expired_keyword in expired_keywords:
del self.info_fetched_cache[expired_keyword]
fetched_info_str = ""
for keyword, info in self.info_fetched_cache.items():
fetched_info_str += f"你的：{keyword}信息是: {info['info']}\n"
@@ -189,5 +184,4 @@ class SelfProcessor(BaseProcessor):
return fetched_info_str
init_prompt()

3
src/chat/focus_chat/planners/planner_simple.py
View File

@@ -342,11 +342,8 @@ class ActionPlanner(BasePlanner):
else:
chat_content_block = "你还未开始聊天"
action_options_block = ""
for using_actions_name, using_actions_info in current_available_actions.items():
using_action_prompt = await global_prompt_manager.get_prompt_async("action_prompt")
if using_actions_info["parameters"]:

43
src/individuality/individuality.py
View File

@@ -7,7 +7,6 @@ import json
import os
import hashlib
import traceback
import time
from rich.traceback import install
from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
from src.manager.async_task_manager import AsyncTask
@@ -19,11 +18,10 @@ install(extra_lines=3)
logger = get_logger("individuality")
def init_prompt():
"""初始化用于关键词提取的prompts"""
extract_keywords_prompt = """
请分析以下对某人的描述，提取出其中的独立关键词。每个关键词应该是可以用来从某一角度概括的方面：性格，身高，喜好，外貌，身份，兴趣，爱好，习惯，等等。
@@ -49,7 +47,6 @@ def init_prompt():
Prompt(fetch_info_prompt, "fetch_info_prompt")
class Individuality:
"""个体特征管理类"""
@@ -265,18 +262,17 @@ class Individuality:
def _get_config_hash(self, personality_sides: list, identity_detail: list) -> str:
"""获取当前personality和identity配置的哈希值"""
# 将配置转换为字符串并排序，确保一致性
config_str = json.dumps({
"personality_sides": sorted(personality_sides),
"identity_detail": sorted(identity_detail)
}, sort_keys=True)
config_str = json.dumps(
{"personality_sides": sorted(personality_sides), "identity_detail": sorted(identity_detail)}, sort_keys=True
)
return hashlib.md5(config_str.encode('utf-8')).hexdigest()
return hashlib.md5(config_str.encode("utf-8")).hexdigest()
def _load_meta_info(self) -> dict:
"""从JSON文件中加载元信息"""
if os.path.exists(self.meta_info_file_path):
try:
with open(self.meta_info_file_path, 'r', encoding='utf-8') as f:
with open(self.meta_info_file_path, "r", encoding="utf-8") as f:
return json.load(f)
except Exception as e:
print(f"读取meta_info文件失败: {e}")
@@ -288,7 +284,7 @@ class Individuality:
try:
# 确保目录存在
os.makedirs(os.path.dirname(self.meta_info_file_path), exist_ok=True)
with open(self.meta_info_file_path, 'w', encoding='utf-8') as f:
with open(self.meta_info_file_path, "w", encoding="utf-8") as f:
json.dump(meta_info, f, ensure_ascii=False, indent=2)
except Exception as e:
print(f"保存meta_info文件失败: {e}")
@@ -301,26 +297,26 @@ class Individuality:
stored_config_hash = meta_info.get("config_hash", "")
if current_config_hash != stored_config_hash:
logger.info(f"检测到personality或identity配置发生变化，清空fetch_info数据")
logger.info("检测到personality或identity配置发生变化，清空fetch_info数据")
# 清空fetch_info文件
if os.path.exists(self.fetch_info_file_path):
try:
os.remove(self.fetch_info_file_path)
logger.info(f"已清空fetch_info文件")
logger.info("已清空fetch_info文件")
except Exception as e:
logger.error(f"清空fetch_info文件失败: {e}")
# 更新元信息
meta_info["config_hash"] = current_config_hash
self._save_meta_info(meta_info)
logger.info(f"已更新配置哈希值")
logger.info("已更新配置哈希值")
def _load_fetch_info_from_file(self) -> dict:
"""从JSON文件中加载已保存的fetch_info数据"""
if os.path.exists(self.fetch_info_file_path):
try:
with open(self.fetch_info_file_path, 'r', encoding='utf-8') as f:
with open(self.fetch_info_file_path, "r", encoding="utf-8") as f:
data = json.load(f)
# 兼容旧格式：如果是字符串则转换为列表
for keyword, value in data.items():
@@ -337,7 +333,7 @@ class Individuality:
try:
# 确保目录存在
os.makedirs(os.path.dirname(self.fetch_info_file_path), exist_ok=True)
with open(self.fetch_info_file_path, 'w', encoding='utf-8') as f:
with open(self.fetch_info_file_path, "w", encoding="utf-8") as f:
json.dump(fetch_info_data, f, ensure_ascii=False, indent=2)
except Exception as e:
logger.error(f"保存fetch_info文件失败: {e}")
@@ -345,7 +341,6 @@ class Individuality:
async def _preprocess_personality_keywords(self, personality_sides: list, identity_detail: list):
"""预处理personality关键词，提取关键词并生成缓存"""
try:
logger.info("开始预处理personality关键词...")
# 检查配置变化
@@ -452,7 +447,7 @@ class Individuality:
prompt_personality=personality_sides_str,
indentify_block=identity_detail_str,
keyword=keyword,
bot_name=self.name
bot_name=self.name,
)
fetched_info, _ = await llm_model.generate_response_async(prompt=fetch_prompt)
@@ -478,7 +473,9 @@ class Individuality:
# 保存合并后的数据到文件和内存缓存
if updated_count > 0 or new_count > 0:
self._save_fetch_info_to_file(fetch_info_data)
logger.info(f"预处理完成，新增 {new_count} 个关键词，追加 {updated_count} 个关键词信息，总计 {len(fetch_info_data)} 个关键词")
logger.info(
f"预处理完成，新增 {new_count} 个关键词，追加 {updated_count} 个关键词信息，总计 {len(fetch_info_data)} 个关键词"
)
else:
logger.info("预处理完成，但没有生成任何新的有效信息")
@@ -488,6 +485,7 @@ class Individuality:
# 注册定时任务（延迟执行，避免阻塞初始化）
import asyncio
asyncio.create_task(self._register_keyword_update_task_delayed())
except Exception as e:
@@ -499,16 +497,18 @@ class Individuality:
try:
# 等待一小段时间确保系统完全初始化
import asyncio
await asyncio.sleep(5)
from src.manager.async_task_manager import async_task_manager
logger = get_logger("individuality")
# 创建定时任务
task = KeywordUpdateTask(
personality_sides=list(global_config.personality.personality_sides),
identity_detail=list(global_config.identity.identity_detail),
individuality_instance=self
individuality_instance=self,
)
# 注册任务
@@ -555,7 +555,7 @@ class KeywordUpdateTask(AsyncTask):
super().__init__(
task_name="keyword_update_task",
wait_before_start=3600, # 1小时后开始
run_interval=3600 # 每小时运行一次
run_interval=3600, # 每小时运行一次
)
self.personality_sides = personality_sides
@@ -571,6 +571,7 @@ class KeywordUpdateTask(AsyncTask):
"""执行任务"""
try:
from src.common.logger import get_logger
logger = get_logger("individuality.task")
# 检查是否超过最大运行次数

2
src/person_info/relationship_manager.py
View File

@@ -284,7 +284,6 @@ class RelationshipManager:
# 添加可读时间到每个point
points_list = [(item["point"], float(item["weight"]), current_time) for item in points_data]
logger_str = f"了解了有关{person_name}的新印象：\n"
for point in points_list:
logger_str += f"{point[0]},重要性：{point[1]}\n\n"
@@ -476,7 +475,6 @@ class RelationshipManager:
person_id, "forgotten_points", json.dumps(forgotten_points, ensure_ascii=False, indent=None)
)
# 更新数据库
await person_info_manager.update_one_field(
person_id, "points", json.dumps(current_points, ensure_ascii=False, indent=None)