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修复了专注错误

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Updated logic in heartFC_chat.py and relationship_manager.py to prioritize 'chat_info_platform', then 'user_platform', and finally a default when determining platform information. Added a fallback to 'unknown' in get_person_id if platform is None, improving robustness when platform data is missing.

Co-Authored-By: tt-P607 <68868379+tt-P607@users.noreply.github.com>
This commit is contained in:
雅诺狐
2025-08-19 20:17:32 +08:00
committed by Windpicker-owo
parent 64e3d6d56b
commit f35d52401b
3 changed files with 93 additions and 15 deletions
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32
src/chat/chat_loop/heartFC_chat.py
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@@ -469,7 +469,17 @@ class HeartFChatting:
# Normal模式：消息数量不足，等待
await asyncio.sleep(0.5)
return True
return True
async def build_reply_to_str(self, message_data: dict):
person_info_manager = get_person_info_manager()
# 获取平台信息，优先使用chat_info_platform，如果为None则使用user_platform
platform = message_data.get("chat_info_platform") or message_data.get("user_platform") or self.chat_stream.platform
user_id = message_data.get("user_id")
person_id = person_info_manager.get_person_id(platform, user_id)
person_name = await person_info_manager.get_value(person_id, "person_name")
return f"{person_name}:{message_data.get('processed_plain_text')}"
async def _send_and_store_reply(
self,
@@ -482,19 +492,17 @@ class HeartFChatting:
) -> Tuple[Dict[str, Any], str, Dict[str, float]]:
with Timer("回复发送", cycle_timers):
reply_text = await self._send_response(
reply_set=response_set,
message_data=action_message,
selected_expressions=selected_expressions,
)
reply_text = await self._send_response(response_set, reply_to_str, loop_start_time, action_message)
# 存储reply action信息
person_info_manager = get_person_info_manager()
# 获取 platform，如果不存在则从 chat_stream 获取，如果还是 None 则使用默认值
platform = action_message.get("chat_info_platform")
if platform is None:
platform = getattr(self.chat_stream, "platform", "unknown")
# 获取平台信息，优先使用chat_info_platform，如果为空则使用user_platform
platform = action_message.get("chat_info_platform") or action_message.get("user_platform") or self.chat_stream.platform
user_id = action_message.get("user_id", "")
person = Person(platform = platform ,user_id = action_message.get("user_id", ""))
person_name = person.person_name
person_id = person_info_manager.get_person_id(platform, user_id)
person_name = await person_info_manager.get_value(person_id, "person_name")
action_prompt_display = f"你对{person_name}进行了回复：{reply_text}"
await database_api.store_action_info(