refactor(core): 优化类型提示与代码风格
本次提交对项目代码进行了广泛的重构,主要集中在以下几个方面:
1. **类型提示现代化**:
- 将 `typing` 模块中的 `Optional[T]`、`List[T]`、`Dict[K, V]` 等旧式类型提示更新为现代的 `T | None`、`list[T]`、`dict[K, V]` 语法。
- 这提高了代码的可读性,并与较新 Python 版本的风格保持一致。
2. **代码风格统一**:
- 移除了多余的空行和不必要的空格,使代码更加紧凑和规范。
- 统一了部分日志输出的格式,增强了日志的可读性。
3. **导入语句优化**:
- 调整了部分模块的 `import` 语句顺序,使其符合 PEP 8 规范。
这些更改不涉及任何功能性变动,旨在提升代码库的整体质量、可维护性和开发体验。
This commit is contained in:
committed by
Windpicker-owo
parent
6026682a03
commit
2ee6aa3951
@@ -32,8 +32,6 @@ from src.common.logger import get_logger
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from src.config.config import global_config, model_config
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from src.individuality.individuality import get_individuality
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from src.llm_models.utils_model import LLMRequest
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from src.mood.mood_manager import mood_manager
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from src.person_info.person_info import get_person_info_manager
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from src.plugin_system.apis import llm_api
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@@ -948,10 +946,10 @@ class DefaultReplyer:
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chat_stream = await chat_manager.get_stream(chat_id)
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if chat_stream:
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stream_context = chat_stream.context_manager
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# 确保历史消息已从数据库加载
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await stream_context.ensure_history_initialized()
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# 直接使用内存中的已读和未读消息,无需再查询数据库
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read_messages = stream_context.context.history_messages # 已读消息(已从数据库加载)
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unread_messages = stream_context.get_unread_messages() # 未读消息
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@@ -961,11 +959,11 @@ class DefaultReplyer:
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if read_messages:
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# 将 DatabaseMessages 对象转换为字典格式,以便使用 build_readable_messages
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read_messages_dicts = [msg.flatten() for msg in read_messages]
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# 按时间排序并限制数量
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sorted_messages = sorted(read_messages_dicts, key=lambda x: x.get("time", 0))
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final_history = sorted_messages[-50:] # 限制最多50条
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read_content = await build_readable_messages(
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final_history,
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replace_bot_name=True,
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@@ -1199,7 +1197,7 @@ class DefaultReplyer:
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if reply_message is None:
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logger.warning("reply_message 为 None,无法构建prompt")
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return ""
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# 统一处理 DatabaseMessages 对象和字典
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if isinstance(reply_message, DatabaseMessages):
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platform = reply_message.chat_info.platform
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@@ -1213,7 +1211,7 @@ class DefaultReplyer:
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user_nickname = reply_message.get("user_nickname")
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user_cardname = reply_message.get("user_cardname")
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processed_plain_text = reply_message.get("processed_plain_text")
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person_id = person_info_manager.get_person_id(
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platform, # type: ignore
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user_id, # type: ignore
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@@ -1269,24 +1267,24 @@ class DefaultReplyer:
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# 从内存获取历史消息,避免重复查询数据库
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from src.plugin_system.apis.chat_api import get_chat_manager
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chat_manager = get_chat_manager()
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chat_stream_obj = await chat_manager.get_stream(chat_id)
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if chat_stream_obj:
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# 确保历史消息已初始化
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await chat_stream_obj.context_manager.ensure_history_initialized()
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# 获取所有消息(历史+未读)
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all_messages = (
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chat_stream_obj.context_manager.context.history_messages +
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chat_stream_obj.context_manager.get_unread_messages()
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)
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# 转换为字典格式
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message_list_before_now_long = [msg.flatten() for msg in all_messages[-(global_config.chat.max_context_size * 2):]]
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message_list_before_short = [msg.flatten() for msg in all_messages[-int(global_config.chat.max_context_size * 0.33):]]
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logger.debug(f"使用内存中的消息: long={len(message_list_before_now_long)}, short={len(message_list_before_short)}")
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else:
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# 回退到数据库查询
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@@ -1301,7 +1299,7 @@ class DefaultReplyer:
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timestamp=time.time(),
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limit=int(global_config.chat.max_context_size * 0.33),
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)
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chat_talking_prompt_short = await build_readable_messages(
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message_list_before_short,
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replace_bot_name=True,
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@@ -1665,24 +1663,24 @@ class DefaultReplyer:
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# 从内存获取历史消息,避免重复查询数据库
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from src.plugin_system.apis.chat_api import get_chat_manager
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chat_manager = get_chat_manager()
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chat_stream_obj = await chat_manager.get_stream(chat_id)
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if chat_stream_obj:
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# 确保历史消息已初始化
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await chat_stream_obj.context_manager.ensure_history_initialized()
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# 获取所有消息(历史+未读)
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all_messages = (
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chat_stream_obj.context_manager.context.history_messages +
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chat_stream_obj.context_manager.get_unread_messages()
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)
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# 转换为字典格式,限制数量
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limit = min(int(global_config.chat.max_context_size * 0.33), 15)
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message_list_before_now_half = [msg.flatten() for msg in all_messages[-limit:]]
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logger.debug(f"Rewrite使用内存中的 {len(message_list_before_now_half)} 条消息")
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else:
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# 回退到数据库查询
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@@ -1692,7 +1690,7 @@ class DefaultReplyer:
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timestamp=time.time(),
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limit=min(int(global_config.chat.max_context_size * 0.33), 15),
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)
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chat_talking_prompt_half = await build_readable_messages(
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message_list_before_now_half,
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replace_bot_name=True,
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@@ -1849,7 +1847,7 @@ class DefaultReplyer:
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# 循环移除,以处理模型可能生成的嵌套回复头/尾
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# 使用更健壮的正则表达式,通过非贪婪匹配和向后查找来定位真正的消息内容
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pattern = re.compile(r"^\s*\[回复<.+?>\s*(?:的消息)?:(?P<content>.*)\](?:,?说:)?\s*$", re.DOTALL)
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temp_content = cleaned_content
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while True:
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match = pattern.match(temp_content)
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@@ -1861,7 +1859,7 @@ class DefaultReplyer:
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temp_content = new_content
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else:
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break # 没有匹配到,退出循环
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# 在循环处理后,再使用 rsplit 来处理日志中观察到的特殊情况
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# 这可以作为处理复杂嵌套的最后一道防线
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final_split = temp_content.rsplit("],说:", 1)
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@@ -1869,7 +1867,7 @@ class DefaultReplyer:
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final_content = final_split[1].strip()
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else:
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final_content = temp_content
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if final_content != content:
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logger.debug(f"清理了模型生成的多余内容,原始内容: '{content}', 清理后: '{final_content}'")
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content = final_content
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@@ -2108,24 +2106,24 @@ class DefaultReplyer:
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# 从内存获取聊天历史用于存储,避免重复查询数据库
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from src.plugin_system.apis.chat_api import get_chat_manager
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chat_manager = get_chat_manager()
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chat_stream_obj = await chat_manager.get_stream(stream.stream_id)
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if chat_stream_obj:
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# 确保历史消息已初始化
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await chat_stream_obj.context_manager.ensure_history_initialized()
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# 获取所有消息(历史+未读)
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all_messages = (
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chat_stream_obj.context_manager.context.history_messages +
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chat_stream_obj.context_manager.get_unread_messages()
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)
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# 转换为字典格式,限制数量
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limit = int(global_config.chat.max_context_size * 0.33)
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message_list_before_short = [msg.flatten() for msg in all_messages[-limit:]]
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logger.debug(f"记忆存储使用内存中的 {len(message_list_before_short)} 条消息")
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else:
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# 回退到数据库查询
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