fix: 懒加载单例以修复环境变量加载问题

src/chat/focus_chat/info_processors/mind_processor.py

@@ -5,11 +5,11 @@ from src.config.config import global_config
 import time
 import traceback
 from src.common.logger import get_logger
-from src.individuality.individuality import individuality
+from src.individuality.individuality import get_individuality
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
 from src.chat.utils.json_utils import safe_json_dumps
-from src.chat.message_receive.chat_stream import chat_manager
-from src.person_info.relationship_manager import relationship_manager
+from src.chat.message_receive.chat_stream import get_chat_manager
+from src.person_info.relationship_manager import get_relationship_manager
 from .base_processor import BaseProcessor
 from src.chat.focus_chat.info.mind_info import MindInfo
 from typing import List, Optional
@@ -77,7 +77,7 @@ class MindProcessor(BaseProcessor):
         self.structured_info = []
         self.structured_info_str = ""
 
-        name = chat_manager.get_stream_name(self.subheartflow_id)
+        name = get_chat_manager().get_stream_name(self.subheartflow_id)
         self.log_prefix = f"[{name}] "
         self._update_structured_info_str()
 
@@ -195,13 +195,14 @@ class MindProcessor(BaseProcessor):
         relation_prompt = ""
         if global_config.relationship.enable_relationship:
             for person in person_list:
+                relationship_manager = get_relationship_manager()
                 relation_prompt += await relationship_manager.build_relationship_info(person, is_id=True)
 
         template_name = "sub_heartflow_prompt_before" if is_group_chat else "sub_heartflow_prompt_private_before"
         logger.debug(f"{self.log_prefix} 使用{'群聊' if is_group_chat else '私聊'}思考模板")
 
         prompt = (await global_prompt_manager.get_prompt_async(template_name)).format(
-            bot_name=individuality.name,
+            bot_name=get_individuality().name,
             memory_str=memory_str,
             extra_info=self.structured_info_str,
             relation_prompt=relation_prompt,

src/chat/focus_chat/info_processors/relationship_processor.py

@@ -6,19 +6,20 @@ import time
 import traceback
 from src.common.logger import get_logger
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
-from src.chat.message_receive.chat_stream import chat_manager
-from src.person_info.relationship_manager import relationship_manager
+from src.chat.message_receive.chat_stream import get_chat_manager
+from src.person_info.relationship_manager import get_relationship_manager
 from .base_processor import BaseProcessor
 from typing import List, Optional
 from typing import Dict
 from src.chat.focus_chat.info.info_base import InfoBase
 from src.chat.focus_chat.info.relation_info import RelationInfo
 from json_repair import repair_json
-from src.person_info.person_info import person_info_manager
+from src.person_info.person_info import get_person_info_manager
 import json
 import asyncio
 from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat
 
+
 # 配置常量：是否启用小模型即时信息提取
 # 开启时：使用小模型并行即时提取，速度更快，但精度可能略低
 # 关闭时：使用原来的异步模式，精度更高但速度较慢
@@ -110,7 +111,7 @@ class RelationshipProcessor(BaseProcessor):
                 request_type="focus.relationship.instant",
             )
 
-        name = chat_manager.get_stream_name(self.subheartflow_id)
+        name = get_chat_manager().get_stream_name(self.subheartflow_id)
         self.log_prefix = f"[{name}] "
 
     async def process_info(
@@ -241,6 +242,7 @@ class RelationshipProcessor(BaseProcessor):
                 instant_tasks = []
                 async_tasks = []
 
+                person_info_manager = get_person_info_manager()
                 for person_name, info_type in content_json.items():
                     person_id = person_info_manager.get_person_id_by_person_name(person_name)
                     if person_id:
@@ -366,6 +368,7 @@ class RelationshipProcessor(BaseProcessor):
         """
         使用小模型提取单个信息类型
         """
+        person_info_manager = get_person_info_manager()
         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。"
 
@@ -453,6 +456,7 @@ class RelationshipProcessor(BaseProcessor):
         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")
 
         info_type_str = ""
@@ -534,6 +538,7 @@ class RelationshipProcessor(BaseProcessor):
             impression_messages = get_raw_msg_by_timestamp_with_chat(chat_id, start_time, end_time)
             if impression_messages:
                 logger.info(f"为 {person_id} 获取到 {len(impression_messages)} 条消息用于印象更新。")
+                relationship_manager = get_relationship_manager()
                 await relationship_manager.update_person_impression(
                     person_id=person_id, timestamp=end_time, bot_engaged_messages=impression_messages
                 )

src/chat/focus_chat/info_processors/self_processor.py

@@ -5,9 +5,9 @@ from src.config.config import global_config
 import time
 import traceback
 from src.common.logger import get_logger
-from src.individuality.individuality import individuality
+from src.individuality.individuality import get_individuality
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
-from src.chat.message_receive.chat_stream import chat_manager
+from src.chat.message_receive.chat_stream import get_chat_manager
 from .base_processor import BaseProcessor
 from typing import List, Optional
 from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
@@ -59,7 +59,7 @@ class SelfProcessor(BaseProcessor):
             request_type="focus.processor.self_identify",
         )
 
-        name = chat_manager.get_stream_name(self.subheartflow_id)
+        name = get_chat_manager().get_stream_name(self.subheartflow_id)
         self.log_prefix = f"[{name}] "
 
     async def process_info(
@@ -123,9 +123,9 @@ class SelfProcessor(BaseProcessor):
             nickname_str += f"{nicknames},"
         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。"
 
-        personality_block = individuality.get_personality_prompt(x_person=2, level=2)
+        personality_block = get_individuality().get_personality_prompt(x_person=2, level=2)
 
-        identity_block = individuality.get_identity_prompt(x_person=2, level=2)
+        identity_block = get_individuality().get_identity_prompt(x_person=2, level=2)
 
         prompt = (await global_prompt_manager.get_prompt_async("indentify_prompt")).format(
             name_block=name_block,

src/chat/focus_chat/info_processors/tool_processor.py

@@ -3,7 +3,7 @@ from src.llm_models.utils_model import LLMRequest
 from src.config.config import global_config
 import time
 from src.common.logger import get_logger
-from src.individuality.individuality import individuality
+from src.individuality.individuality import get_individuality
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
 from src.tools.tool_use import ToolUser
 from src.chat.utils.json_utils import process_llm_tool_calls
@@ -132,7 +132,7 @@ class ToolProcessor(BaseProcessor):
             memory_str=memory_str,
             chat_observe_info=chat_observe_info,
             is_group_chat=is_group_chat,
-            bot_name=individuality.name,
+            bot_name=get_individuality().name,
             time_now=time_now,
         )
 

src/chat/focus_chat/info_processors/working_memory_processor.py

@@ -6,7 +6,7 @@ import time
 import traceback
 from src.common.logger import get_logger
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
-from src.chat.message_receive.chat_stream import chat_manager
+from src.chat.message_receive.chat_stream import get_chat_manager
 from .base_processor import BaseProcessor
 from src.chat.focus_chat.info.mind_info import MindInfo
 from typing import List, Optional
@@ -64,7 +64,7 @@ class WorkingMemoryProcessor(BaseProcessor):
             request_type="focus.processor.working_memory",
         )
 
-        name = chat_manager.get_stream_name(self.subheartflow_id)
+        name = get_chat_manager().get_stream_name(self.subheartflow_id)
         self.log_prefix = f"[{name}] "
 
     async def process_info(