3980509caa
- 删除旧的智能提示词系统（smart_prompt.py）和相关参数模块（prompt_parameters.py） - 将 prompt_builder.py 重命名为 prompt.py 并精简功能 - 更新所有模块的导入路径从 `src.chat.utils.prompt_builder` 到 `src.chat.utils.prompt` - 统一提示词构建接口，使用新的 PromptContext 替代 SmartPromptParameters - 移除重复和冗余代码，简化系统架构 BREAKING CHANGE: 旧的 SmartPrompt 系统已被完全移除，所有相关模块需要改用新的统一 Prompt 系统
168 lines
5.7 KiB
Python
168 lines
5.7 KiB
Python
from src.chat.message_receive.chat_stream import get_chat_manager
|
||
import time
|
||
from src.chat.utils.prompt import Prompt, global_prompt_manager
|
||
from src.llm_models.utils_model import LLMRequest
|
||
from src.config.config import model_config
|
||
from src.chat.message_receive.message import MessageRecvS4U
|
||
from src.mais4u.mais4u_chat.s4u_msg_processor import S4UMessageProcessor
|
||
from src.mais4u.mais4u_chat.internal_manager import internal_manager
|
||
from src.common.logger import get_logger
|
||
|
||
logger = get_logger(__name__)
|
||
|
||
|
||
def init_prompt():
|
||
Prompt(
|
||
"""
|
||
你之前的内心想法是：{mind}
|
||
|
||
{memory_block}
|
||
{relation_info_block}
|
||
|
||
{chat_target}
|
||
{time_block}
|
||
{chat_info}
|
||
{identity}
|
||
|
||
你刚刚在{chat_target_2},你你刚刚的心情是：{mood_state}
|
||
---------------------
|
||
在这样的情况下，你对上面的内容，你对 {sender} 发送的 消息 “{target}” 进行了回复
|
||
你刚刚选择回复的内容是：{reponse}
|
||
现在，根据你之前的想法和回复的内容，推测你现在的想法，思考你现在的想法是什么，为什么做出上面的回复内容
|
||
请不要浮夸和夸张修辞，不要输出多余内容(包括前后缀，冒号和引号，括号()，表情包，at或 @等 )。只输出想法：""",
|
||
"after_response_think_prompt",
|
||
)
|
||
|
||
|
||
class MaiThinking:
|
||
def __init__(self, chat_id):
|
||
self.chat_id = chat_id
|
||
self.chat_stream = get_chat_manager().get_stream(chat_id)
|
||
self.platform = self.chat_stream.platform
|
||
|
||
if self.chat_stream.group_info:
|
||
self.is_group = True
|
||
else:
|
||
self.is_group = False
|
||
|
||
self.s4u_message_processor = S4UMessageProcessor()
|
||
|
||
self.mind = ""
|
||
|
||
self.memory_block = ""
|
||
self.relation_info_block = ""
|
||
self.time_block = ""
|
||
self.chat_target = ""
|
||
self.chat_target_2 = ""
|
||
self.chat_info = ""
|
||
self.mood_state = ""
|
||
self.identity = ""
|
||
self.sender = ""
|
||
self.target = ""
|
||
|
||
self.thinking_model = LLMRequest(model_set=model_config.model_task_config.replyer, request_type="thinking")
|
||
|
||
async def do_think_before_response(self):
|
||
pass
|
||
|
||
async def do_think_after_response(self, reponse: str):
|
||
prompt = await global_prompt_manager.format_prompt(
|
||
"after_response_think_prompt",
|
||
mind=self.mind,
|
||
reponse=reponse,
|
||
memory_block=self.memory_block,
|
||
relation_info_block=self.relation_info_block,
|
||
time_block=self.time_block,
|
||
chat_target=self.chat_target,
|
||
chat_target_2=self.chat_target_2,
|
||
chat_info=self.chat_info,
|
||
mood_state=self.mood_state,
|
||
identity=self.identity,
|
||
sender=self.sender,
|
||
target=self.target,
|
||
)
|
||
|
||
result, _ = await self.thinking_model.generate_response_async(prompt)
|
||
self.mind = result
|
||
|
||
logger.info(f"[{self.chat_id}] 思考前想法：{self.mind}")
|
||
# logger.info(f"[{self.chat_id}] 思考前prompt：{prompt}")
|
||
logger.info(f"[{self.chat_id}] 思考后想法：{self.mind}")
|
||
|
||
msg_recv = await self.build_internal_message_recv(self.mind)
|
||
await self.s4u_message_processor.process_message(msg_recv)
|
||
internal_manager.set_internal_state(self.mind)
|
||
|
||
async def do_think_when_receive_message(self):
|
||
pass
|
||
|
||
async def build_internal_message_recv(self, message_text: str):
|
||
msg_id = f"internal_{time.time()}"
|
||
|
||
message_dict = {
|
||
"message_info": {
|
||
"message_id": msg_id,
|
||
"time": time.time(),
|
||
"user_info": {
|
||
"user_id": "internal", # 内部用户ID
|
||
"user_nickname": "内心", # 内部昵称
|
||
"platform": self.platform, # 平台标记为 internal
|
||
# 其他 user_info 字段按需补充
|
||
},
|
||
"platform": self.platform, # 平台
|
||
# 其他 message_info 字段按需补充
|
||
},
|
||
"message_segment": {
|
||
"type": "text", # 消息类型
|
||
"data": message_text, # 消息内容
|
||
# 其他 segment 字段按需补充
|
||
},
|
||
"raw_message": message_text, # 原始消息内容
|
||
"processed_plain_text": message_text, # 处理后的纯文本
|
||
# 下面这些字段可选，根据 MessageRecv 需要
|
||
"is_emoji": False,
|
||
"has_emoji": False,
|
||
"is_picid": False,
|
||
"has_picid": False,
|
||
"is_voice": False,
|
||
"is_mentioned": False,
|
||
"is_command": False,
|
||
"is_internal": True,
|
||
"priority_mode": "interest",
|
||
"priority_info": {"message_priority": 10.0}, # 内部消息可设高优先级
|
||
"interest_value": 1.0,
|
||
}
|
||
|
||
if self.is_group:
|
||
message_dict["message_info"]["group_info"] = {
|
||
"platform": self.platform,
|
||
"group_id": self.chat_stream.group_info.group_id,
|
||
"group_name": self.chat_stream.group_info.group_name,
|
||
}
|
||
|
||
msg_recv = MessageRecvS4U(message_dict)
|
||
msg_recv.chat_info = self.chat_info
|
||
msg_recv.chat_stream = self.chat_stream
|
||
msg_recv.is_internal = True
|
||
|
||
return msg_recv
|
||
|
||
|
||
class MaiThinkingManager:
|
||
def __init__(self):
|
||
self.mai_think_list = []
|
||
|
||
def get_mai_think(self, chat_id):
|
||
for mai_think in self.mai_think_list:
|
||
if mai_think.chat_id == chat_id:
|
||
return mai_think
|
||
mai_think = MaiThinking(chat_id)
|
||
self.mai_think_list.append(mai_think)
|
||
return mai_think
|
||
|
||
|
||
mai_thinking_manager = MaiThinkingManager()
|
||
|
||
|
||
init_prompt()
|