Merge pull request #737 from SnowindMe/dev

更好的计时器小工具,感谢D指导
This commit is contained in:
SengokuCola
2025-04-13 21:12:37 +08:00
committed by GitHub
6 changed files with 257 additions and 132 deletions

View File

@@ -19,6 +19,7 @@ from ...chat.chat_stream import chat_manager
from ...person_info.relationship_manager import relationship_manager
from ...chat.message_buffer import message_buffer
from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
from ...utils.timer_calculater import Timer
# 定义日志配置
chat_config = LogConfig(
@@ -173,12 +174,10 @@ class ReasoningChat:
await self.storage.store_message(message, chat)
# 记忆激活
timer1 = time.time()
interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
message.processed_plain_text, fast_retrieval=True
)
timer2 = time.time()
timing_results["记忆激活"] = timer2 - timer1
with Timer("记忆激活", timing_results):
interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
message.processed_plain_text, fast_retrieval=True
)
# 查询缓冲器结果会整合前面跳过的消息改变processed_plain_text
buffer_result = await message_buffer.query_buffer_result(message)
@@ -228,10 +227,8 @@ class ReasoningChat:
await willing_manager.before_generate_reply_handle(message.message_info.message_id)
# 创建思考消息
timer1 = time.time()
thinking_id = await self._create_thinking_message(message, chat, userinfo, messageinfo)
timer2 = time.time()
timing_results["创建思考消息"] = timer2 - timer1
with Timer("创建思考消息", timing_results):
thinking_id = await self._create_thinking_message(message, chat, userinfo, messageinfo)
logger.debug(f"创建捕捉器thinking_id:{thinking_id}")
@@ -239,11 +236,9 @@ class ReasoningChat:
info_catcher.catch_decide_to_response(message)
# 生成回复
timer1 = time.time()
try:
response_set = await self.gpt.generate_response(message, thinking_id)
timer2 = time.time()
timing_results["生成回复"] = timer2 - timer1
with Timer("生成回复", timing_results):
response_set = await self.gpt.generate_response(message, thinking_id)
info_catcher.catch_after_generate_response(timing_results["生成回复"])
except Exception as e:
@@ -255,26 +250,20 @@ class ReasoningChat:
return
# 发送消息
timer1 = time.time()
first_bot_msg = await self._send_response_messages(message, chat, response_set, thinking_id)
timer2 = time.time()
timing_results["发送消息"] = timer2 - timer1
with Timer("发送消息", timing_results):
first_bot_msg = await self._send_response_messages(message, chat, response_set, thinking_id)
info_catcher.catch_after_response(timing_results["发送消息"], response_set, first_bot_msg)
info_catcher.done_catch()
# 处理表情包
timer1 = time.time()
await self._handle_emoji(message, chat, response_set)
timer2 = time.time()
timing_results["处理表情包"] = timer2 - timer1
with Timer("处理表情包", timing_results):
await self._handle_emoji(message, chat, response_set)
# 更新关系情绪
timer1 = time.time()
await self._update_relationship(message, response_set)
timer2 = time.time()
timing_results["更新关系情绪"] = timer2 - timer1
with Timer("更新关系情绪", timing_results):
await self._update_relationship(message, response_set)
# 回复后处理
await willing_manager.after_generate_reply_handle(message.message_info.message_id)

View File

@@ -1,4 +1,3 @@
import time
from typing import List, Optional, Tuple, Union
import random
@@ -7,6 +6,7 @@ from ...config.config import global_config
from ...chat.message import MessageThinking
from .reasoning_prompt_builder import prompt_builder
from ...chat.utils import process_llm_response
from ...utils.timer_calculater import Timer
from src.common.logger import get_module_logger, LogConfig, LLM_STYLE_CONFIG
from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
@@ -82,15 +82,14 @@ class ResponseGenerator:
logger.debug("开始使用生成回复-2")
# 构建prompt
timer1 = time.time()
prompt = await prompt_builder._build_prompt(
message.chat_stream,
message_txt=message.processed_plain_text,
sender_name=sender_name,
stream_id=message.chat_stream.stream_id,
)
timer2 = time.time()
logger.info(f"构建prompt时间: {timer2 - timer1}")
with Timer() as t_build_prompt:
prompt = await prompt_builder._build_prompt(
message.chat_stream,
message_txt=message.processed_plain_text,
sender_name=sender_name,
stream_id=message.chat_stream.stream_id,
)
logger.info(f"构建prompt时间: {t_build_prompt.human_readable}")
try:
content, reasoning_content, self.current_model_name = await model.generate_response(prompt)