CakeCN/hsa
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

init

Browse Source
This commit is contained in:
CakeCN
2024-12-03 16:21:19 +08:00
commit 4198ca63b1
975 changed files with 333413 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
Html/runs/run_20241126-192000_3qsnbb/.config Normal file
View File

@@ -0,0 +1,7 @@
{
"project": "QqF4e6",
"name": "3qsnbb",
"run_id": "run_20241126-192000_3qsnbb",
"timestamp": "2024-11-26 19:20:00",
"pid": 7205
}

BIN
Html/runs/run_20241126-192000_3qsnbb/agentscope.db Normal file
View File

Binary file not shown.

214
Html/runs/run_20241126-192000_3qsnbb/code/app.py Normal file
View File

@@ -0,0 +1,214 @@
from flask import Flask, session, request, jsonify, render_template, send_from_directory
from flask_cors import CORS
from flask_socketio import SocketIO, join_room, emit
import markdown
import os
import uuid
import shutil
import sys
import json
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
sys.path.insert(0, parent_dir)
current_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '.'))
sys.path.insert(0, current_dir)
from AlgoriAgent.projects.algoriAgent.agent_manager import AgentManager
app = Flask(__name__)
app.secret_key = 'cakebaker'
# 配置 CORS
CORS(app, resources={r"/*": {"origins": "http://localhost:9888"}}, supports_credentials=True)
userid_recorder = {} # user_id&path -> session['user_id']
'''
Backboard
'''
from backboardManager import BackBoardManager, Backboard
backboard_manager = BackBoardManager()
@app.route('/backboard')
def backboard():
return jsonify({'status': 'success'})
def realtime_response(config, realtime_action):
user_id = config['user_id']
folder_path = config['path']
if backboard_manager.get_backboard(user_id) == None:
backboard_manager.add_backboard(user_id, folder_path)
bb = backboard_manager.get_backboard(user_id)
assert type(bb) == Backboard
bb.add_history(realtime_action)
if realtime_action['type'] == 'workspaceFolders':
pass
# bb.file_tree = realtime_action['file_tree']
if realtime_action['type'] == 'activeFile':
file_path = realtime_action['filePath']
assert type(file_path) == str
file_path = "".join(file_path.split(f'/{user_id}/{folder_path}/')[1:])
bb.active_file_path = file_path
with open(f"../{user_id}/{folder_path}/{file_path}") as f:
bb.active_file_content = f.read()
if realtime_action['type'] == 'paste':
file_path = realtime_action['filePath']
file_path = "".join(file_path.split(f'/{user_id}/{folder_path}/')[1:])
bb.pasted_file_path = file_path
bb.pasted_content = realtime_action['content']
print("config"+str(config))
print("realtime_action"+str(realtime_action))
pass
'''
Agent and Chat
'''
socketio = SocketIO(app, cors_allowed_origins="*")
agent_manager = AgentManager()
@socketio.on('connect')
def handle_connect():
user = request.args.get('username')
folder_name = request.args.get('folder')
user_id = userid_recorder[user+'&'+folder_name]
session['user_id'] = user_id
print(f'User connected with session user_id: {user_id}')
# 从markdown、markdown_prompts、score_prompts中各读取数据folder.md并进行new_agent
with open(f'books/markdown/{folder_name}.md','r') as fmd,\
open(f'books/markdown_prompts/{folder_name}.md','r')as fmdp,\
open(f'books/score_prompts/{folder_name}.md','r') as fsp:
markdown = fmd.read()
markdown_prompts = fmdp.read()
score_prompts = fsp.read()
print('-----------------------')
print(user_id)
user_id, agent = agent_manager.new_agent(markdown, markdown_prompts, score_prompts, id=user_id)
join_room(user_id) # 将该用户加入以user_id为名的room
# 当接收到前端的消息时，触发此事件
@socketio.on('send_message')
def handle_message(data):
print(f"Message from client: {data}")
id = session.get('user_id')
# 构造回复消息
res = agent_manager.invoke(id, data)
reply = f"AI: {res.content['speak']}"
# 将回复发送回前端
emit('receive_message', reply)
'''
Markdown to HTML
'''
# 配置文件路径
MARKDOWN_DIR = 'books/markdown' # 存放 markdown 文件的文件夹
STATIC_DIR = 'static' # 存放生成的 HTML 和图片资源的文件夹
IMAGE_DIR = 'image' # 图片资源相对于 markdown 的位置
@app.route('/<filename>-markdown', methods=['GET'])
def convert_md(filename):
md_file_path = os.path.join(MARKDOWN_DIR, f'{filename}.md')
if not os.path.exists(md_file_path):
return jsonify({'error': 'Markdown file not found'}), 404
# 读取 markdown 文件内容
with open(md_file_path, 'r', encoding='utf-8') as file:
md_content = file.read()
# 将 markdown 转换为 HTML
html_content = markdown.markdown(md_content)
# 插入 CSS 样式，限制图片最大宽度为 100%，高度自动调整
html_with_styles = f"""
<html>
<head>
<style>
img {{
max-width: 100%;
height: auto;
}}
</style>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/github-markdown-css/5.2.0/github-markdown.min.css">
</head>
<body>
{html_content}
</body>
</html>
"""
# 保存 HTML 文件到 static 文件夹
html_output_path = os.path.join(STATIC_DIR, f'{filename}.html')
with open(html_output_path, 'w', encoding='utf-8') as html_file:
html_file.write(html_with_styles)
# 处理图片资源，将 image/xxx 文件夹拷贝到 static/image/xxx
image_source_dir = os.path.join(MARKDOWN_DIR, IMAGE_DIR, filename)
image_target_dir = os.path.join(STATIC_DIR, IMAGE_DIR, filename)
print(f"Copying image resources from {image_source_dir} to {image_target_dir}")
if os.path.exists(image_source_dir):
# 确保 static/image/xxx 目录存在
if not os.path.exists(image_target_dir):
os.makedirs(image_target_dir)
# 拷贝图片资源
for image_file in os.listdir(image_source_dir):
full_image_file_path = os.path.join(image_source_dir, image_file)
if os.path.isfile(full_image_file_path):
shutil.copy(full_image_file_path, image_target_dir)
return jsonify({'html_url': f'/static/{filename}.html'})
# 静态文件（HTML 和图片资源）的访问
@app.route('/static/<path:filename>')
def serve_static(filename):
return send_from_directory(STATIC_DIR, filename)
'''
Vscode
'''
@app.route('/desktop/<user_id>/<path>')
def hello_world(user_id, path):
if 'user_id' not in session:
session['user_id'] = 'user_' + str(uuid.uuid4())
userid_recorder[user_id+'&'+path] = session['user_id']
# 在上层 目录下创建一个名为 user_id_path 的文件夹
path_dir = os.path.join(parent_dir, user_id, path)
os.makedirs(path_dir, exist_ok=True)
# 在此文件夹内部创建一个.config文件，并写入 user_id=user_id\n path=path
config_path = os.path.join(path_dir, '.config')
with open(config_path, 'w') as f:
f.write(f"user_id={user_id}\npath={path}")
return render_template('index.html', user_id=user_id, path=path)
@app.route('/vscode_data', methods=['POST'])
def vscode_data():
data = request.json
config = data['config']
realtime_response(config,data)
print(f"Received data from VSCode: {data}")
return jsonify({"status": "success", "received": data})
@app.route('/get_session')
def get_session():
user_session = session.get('user_id', 'default_session')
return jsonify({"session": user_session})
if __name__ == '__main__':
socketio.run(app, host='0.0.0.0', port=5500)

76
Html/runs/run_20241126-192000_3qsnbb/code/backboardManager.py Normal file
View File

@@ -0,0 +1,76 @@
import time
class BackBoardManager:
def __init__(self):
self.backboards = {} # user_id: Backboard
def add_backboard(self, user_id, folder):
self.backboards[user_id] = Backboard(user_id, folder)
def get_backboard(self, user_id):
if user_id not in self.backboards:
return None
return self.backboards[user_id]
class Backboard:
def __init__(self, user_id, folder):
self.user_id = user_id
self.folder = folder
self.create_time = time.time()
self.enter_chapter_time = time.time()
self.history = []
self.file_tree = "[]"
self.active_file_path = ""
self.active_file_content = ""
self.pasted_file_path = ""
self.pasted_content = ""
def next_chapter(self):
self.enter_chapter_time = time.time()
def get_info_prompt(self):
five_history = ""
for h in self.history[-5:]:
five_history += h['type'] + "\n" + h.get('filePath', '') + "\n\n"
# return f"###Global Info:###\n\
# User is {self.user_id}\n\
# User's total study time is {self.get_deltatime_mmss(self.create_time, time.time())}\n\
# User's current chapter study time is {self.get_deltatime_mmss(self.enter_chapter_time, time.time())}\n\
# \n\n\
# Activated file path: {self.active_file_path}\n\
# Activated file content (current editing 10 lines): \n\
# ```\n\
# {self.active_file_content[-10:]}\n\
# ```\n\
# \n\n\
# Last five action:\n\
# {"\n".join(self.history[-5:])}\n\nFile tree: \n{self.file_tree}\n"
def add_history(self, realtime_action):
if(realtime_action['type']=='config'):return
if len(self.history)!=0:
if (self.history[-1]['type']=='edit'):
if(self.history[-1]['filepath'] == realtime_action['filepath']):
self.history[-1]['content'] = realtime_action['content']
return
self.history.append(realtime_action)
def get_deltatime_mmss(self, start_time, end_time):
elapsed_time = end_time - start_time
hours = int(elapsed_time // 3600)
minutes = int((elapsed_time % 3600) // 60)
seconds = int(elapsed_time % 60)
return f"{hours:02d}:{minutes:02d}:{seconds:02d}"

45
Html/runs/run_20241126-192000_3qsnbb/logging.chat Normal file
View File

@@ -0,0 +1,45 @@
{"id": "9f55e7b0db064dc9a0ca092afc3a92c2", "timestamp": "2024-11-26 19:22:16", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "480d190fb12e4e43abbdbe1c9b3e7797", "timestamp": "2024-11-26 19:22:16", "name": "system", "content": "## Tool Functions:\nThe following tool functions are available in the format of\n```\n{index}. {function name}: {function description}\n{argument1 name} ({argument type}): {argument description}\n{argument2 name} ({argument type}): {argument description}\n...\n```\n\n1. record: Call it to save some important info for other chapters. Like file path, function call example.\n\tcontent (string): The content to be recorded.\n2. next_chapter: Call it to go to next chapter.\n", "role": "system", "url": null, "metadata": null}
{"id": "5729820ac1c94959b5b5fe98c04dab63", "timestamp": "2024-11-26 19:22:16", "name": "system", "content": "Respond a JSON dictionary in a markdown's fenced code block as follows:\n```json\n{\"thought\": \"what you thought\", \"speak\": \"what you speak\", \"function\": \"[{\\\"name\\\": \\\"{function name}\\\", \\\"arguments\\\": {\\\"{argument1 name}\\\": xxx, \\\"{argument2 name}\\\": xxx}}]\"}\n```\n ####", "role": "system", "url": null, "metadata": null}
{"id": "520b9e1bc10e429296e643ea186610c2", "timestamp": "2024-11-26 19:22:16", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "949ab58c6aeb41c4b357ced310d6b37b", "timestamp": "2024-11-26 19:22:16", "name": "assistant", "content": "hi", "role": "assistant", "url": null, "metadata": null}
{"id": "81c099f1a1464a4a8c44cda3a4c22477", "timestamp": "2024-11-26 19:22:18", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "62cf1f0ae13543b5a915c649bdedd28f", "timestamp": "2024-11-26 19:22:18", "name": "assistant", "content": "{'thought': 'The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.', 'speak': \"Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?\", 'function': []}", "role": "assistant", "url": null, "metadata": null}
{"id": "6243b88c88be45b1b2956cb95ec54dec", "timestamp": "2024-11-26 19:22:18", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "8eaf4d1e8f7c45df8f4a27581d45a888", "timestamp": "2024-11-26 19:22:18", "name": "assistant", "content": {"thought": "The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.", "speak": "Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?", "function": []}, "role": "assistant", "url": null, "metadata": null}
{"id": "0989a4a39a914beaaffcd61f83fac232", "timestamp": "2024-11-26 19:22:36", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "8332f00d89cb4343bfe22ead2103fefe", "timestamp": "2024-11-26 19:22:36", "name": "system", "content": "## Tool Functions:\nThe following tool functions are available in the format of\n```\n{index}. {function name}: {function description}\n{argument1 name} ({argument type}): {argument description}\n{argument2 name} ({argument type}): {argument description}\n...\n```\n\n1. record: Call it to save some important info for other chapters. Like file path, function call example.\n\tcontent (string): The content to be recorded.\n2. next_chapter: Call it to go to next chapter.\n", "role": "system", "url": null, "metadata": null}
{"id": "925f165f3b8a4e1aa05f9fcbd10d928c", "timestamp": "2024-11-26 19:22:36", "name": "system", "content": "Respond a JSON dictionary in a markdown's fenced code block as follows:\n```json\n{\"thought\": \"what you thought\", \"speak\": \"what you speak\", \"function\": \"[{\\\"name\\\": \\\"{function name}\\\", \\\"arguments\\\": {\\\"{argument1 name}\\\": xxx, \\\"{argument2 name}\\\": xxx}}]\"}\n```\n ####", "role": "system", "url": null, "metadata": null}
{"id": "65e21a591347471fa01eebe4896e5d81", "timestamp": "2024-11-26 19:22:36", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "756689233f5d45d893df5b1dd51f5f8d", "timestamp": "2024-11-26 19:22:36", "name": "assistant", "content": "用中文交流\n", "role": "assistant", "url": null, "metadata": null}
{"id": "98adc4fa2d17452c8488b012ed3abde3", "timestamp": "2024-11-26 19:22:38", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "639c7f000f11473299f95ae77d3de982", "timestamp": "2024-11-26 19:22:38", "name": "assistant", "content": "{'thought': '学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。', 'speak': '好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？', 'function': []}", "role": "assistant", "url": null, "metadata": null}
{"id": "75a511b9cb724f1ab99a4324923efbbb", "timestamp": "2024-11-26 19:22:38", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "b251409b00944f99afa26a45af427797", "timestamp": "2024-11-26 19:22:38", "name": "assistant", "content": {"thought": "学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。", "speak": "好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？", "function": []}, "role": "assistant", "url": null, "metadata": null}
{"id": "1c47f319b49745fdafaed4c8ae2b8206", "timestamp": "2024-11-26 19:22:45", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "9a55baaf3c6941fba4e274814476793d", "timestamp": "2024-11-26 19:22:45", "name": "system", "content": "## Tool Functions:\nThe following tool functions are available in the format of\n```\n{index}. {function name}: {function description}\n{argument1 name} ({argument type}): {argument description}\n{argument2 name} ({argument type}): {argument description}\n...\n```\n\n1. record: Call it to save some important info for other chapters. Like file path, function call example.\n\tcontent (string): The content to be recorded.\n2. next_chapter: Call it to go to next chapter.\n", "role": "system", "url": null, "metadata": null}
{"id": "098690e7dbb1496193be7a795a8db5e4", "timestamp": "2024-11-26 19:22:45", "name": "system", "content": "Respond a JSON dictionary in a markdown's fenced code block as follows:\n```json\n{\"thought\": \"what you thought\", \"speak\": \"what you speak\", \"function\": \"[{\\\"name\\\": \\\"{function name}\\\", \\\"arguments\\\": {\\\"{argument1 name}\\\": xxx, \\\"{argument2 name}\\\": xxx}}]\"}\n```\n ####", "role": "system", "url": null, "metadata": null}
{"id": "14564653cb384afd9a123d771f985c47", "timestamp": "2024-11-26 19:22:45", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "ed8f5cbae5c4462ea42394a036638f49", "timestamp": "2024-11-26 19:22:45", "name": "assistant", "content": "13次", "role": "assistant", "url": null, "metadata": null}
{"id": "a62262b1556a401380a4e0a4ea82eb43", "timestamp": "2024-11-26 19:22:47", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "225d66b0ef4c4a7890f6aa2c6d18f461", "timestamp": "2024-11-26 19:22:47", "name": "assistant", "content": "{'thought': '学生的回答可能不正确，应该引导他进行思考并给出提示。', 'speak': '你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？', 'function': []}", "role": "assistant", "url": null, "metadata": null}
{"id": "6fd0b0eb8ecb4eef8c247e0ff5fe25d4", "timestamp": "2024-11-26 19:22:47", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "9246ce14041f407283b4f93450a7f709", "timestamp": "2024-11-26 19:22:47", "name": "assistant", "content": {"thought": "学生的回答可能不正确，应该引导他进行思考并给出提示。", "speak": "你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？", "function": []}, "role": "assistant", "url": null, "metadata": null}
{"id": "b7e0eb22b922463894788b3bd6b45f22", "timestamp": "2024-11-26 19:23:17", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "ca4440d6b3d44a7b818d49fb4e4185fc", "timestamp": "2024-11-26 19:23:17", "name": "system", "content": "## Tool Functions:\nThe following tool functions are available in the format of\n```\n{index}. {function name}: {function description}\n{argument1 name} ({argument type}): {argument description}\n{argument2 name} ({argument type}): {argument description}\n...\n```\n\n1. record: Call it to save some important info for other chapters. Like file path, function call example.\n\tcontent (string): The content to be recorded.\n2. next_chapter: Call it to go to next chapter.\n", "role": "system", "url": null, "metadata": null}
{"id": "8a126f2aec7c4da88cfa5758c1aa3347", "timestamp": "2024-11-26 19:23:17", "name": "system", "content": "Respond a JSON dictionary in a markdown's fenced code block as follows:\n```json\n{\"thought\": \"what you thought\", \"speak\": \"what you speak\", \"function\": \"[{\\\"name\\\": \\\"{function name}\\\", \\\"arguments\\\": {\\\"{argument1 name}\\\": xxx, \\\"{argument2 name}\\\": xxx}}]\"}\n```\n ####", "role": "system", "url": null, "metadata": null}
{"id": "f518b0a72a624d269b2b9bffe9e0a2be", "timestamp": "2024-11-26 19:23:17", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "c220af3b985246dd90e823c26d920ffd", "timestamp": "2024-11-26 19:23:17", "name": "assistant", "content": "每次二分都是排除一半的可能性，所以是log4000=12，最后多一次猜测", "role": "assistant", "url": null, "metadata": null}
{"id": "0b96917758d74c0ba45b3513975d5f04", "timestamp": "2024-11-26 19:23:20", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "0982dd27b9014e3ba5e8ded734098851", "timestamp": "2024-11-26 19:23:20", "name": "assistant", "content": "{'thought': '学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。', 'speak': '很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？', 'function': [{'name': 'record', 'arguments': {'content': '学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。'}}]}", "role": "assistant", "url": null, "metadata": null}
{"id": "4ded0f5d6b174dbeae6b44940a1ad56d", "timestamp": "2024-11-26 19:23:20", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "38de9122b47743c1bfd0d5cc04303a00", "timestamp": "2024-11-26 19:23:20", "name": "assistant", "content": {"thought": "学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。", "speak": "很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？", "function": [{"name": "record", "arguments": {"content": "学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。"}}]}, "role": "assistant", "url": null, "metadata": null}
{"id": "9be648edc85c4bf5a64e82f96d7efc47", "timestamp": "2024-11-26 19:23:35", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "8a5c2b27724c4fb2be0d9c29fb9582c5", "timestamp": "2024-11-26 19:23:35", "name": "system", "content": "## Tool Functions:\nThe following tool functions are available in the format of\n```\n{index}. {function name}: {function description}\n{argument1 name} ({argument type}): {argument description}\n{argument2 name} ({argument type}): {argument description}\n...\n```\n\n1. record: Call it to save some important info for other chapters. Like file path, function call example.\n\tcontent (string): The content to be recorded.\n2. next_chapter: Call it to go to next chapter.\n", "role": "system", "url": null, "metadata": null}
{"id": "96ea579394ac4db69e9276ed93a18512", "timestamp": "2024-11-26 19:23:35", "name": "system", "content": "Respond a JSON dictionary in a markdown's fenced code block as follows:\n```json\n{\"thought\": \"what you thought\", \"speak\": \"what you speak\", \"function\": \"[{\\\"name\\\": \\\"{function name}\\\", \\\"arguments\\\": {\\\"{argument1 name}\\\": xxx, \\\"{argument2 name}\\\": xxx}}]\"}\n```\n ####", "role": "system", "url": null, "metadata": null}
{"id": "f818d70487dc470b86fae7063c1775a0", "timestamp": "2024-11-26 19:23:35", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "0f9a57b614ea4f6885ed7a803a67191b", "timestamp": "2024-11-26 19:23:35", "name": "assistant", "content": "好的 ，进入下一章", "role": "assistant", "url": null, "metadata": null}
{"id": "1a5607b181624b7aaf221b4eaeb2db70", "timestamp": "2024-11-26 19:23:37", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "50c27d8181764d9f8b98f13d46c97efc", "timestamp": "2024-11-26 19:23:37", "name": "assistant", "content": "{'thought': '学生准备进入下一章，我需要调用函数进行章节切换。', 'speak': '好的，我们现在进入下一章！', 'function': '[{\"name\": \"next_chapter\", \"arguments\": {}}]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "54a32a673bc541a594542b2edeb86e02", "timestamp": "2024-11-26 19:23:37", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "b8b7d8c9a0fe4424bd8e4799df025b24", "timestamp": "2024-11-26 19:23:37", "name": "assistant", "content": {"thought": "学生准备进入下一章，我需要调用函数进行章节切换。", "speak": "好的，我们现在进入下一章！", "function": "[{\"name\": \"next_chapter\", \"arguments\": {}}]"}, "role": "assistant", "url": null, "metadata": null}

135
Html/runs/run_20241126-192000_3qsnbb/logging.log Normal file
View File

@@ -0,0 +1,135 @@
2024-11-26 19:20:11.404 | INFO | agentscope.models:read_model_configs:186 - Load configs for model wrapper: openai_cfg
2024-11-26 19:20:54.537 | INFO | agentscope.models.model:__init__:201 - Initialize model by configuration [openai_cfg]
2024-11-26 19:20:54.558 | WARNING | agentscope.models.openai_model:__init__:83 - fail to get max_length for gpt-4o-mini: 'Model [gpt-4o-mini] not found in OPENAI_MAX_LENGTH. The last updated date is 20231212'
2024-11-26 19:20:54.559 | INFO | agentscope.utils.monitor:register_budget:609 - set budget None to gpt-4o-mini
2024-11-26 19:20:54.559 | WARNING | agentscope.utils.monitor:register_budget:639 - Calculate budgets for model [gpt-4o-mini] is not supported
2024-11-26 19:20:54.574 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.call_counter] to SqliteMonitor with unit [times] and quota [None]
2024-11-26 19:20:54.597 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.prompt_tokens] to SqliteMonitor with unit [token] and quota [None]
2024-11-26 19:20:54.625 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.completion_tokens] to SqliteMonitor with unit [token] and quota [None]
2024-11-26 19:20:54.652 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.total_tokens] to SqliteMonitor with unit [token] and quota [None]
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ## Tool Functions:
The following tool functions are available in the format of
```
{index}. {function name}: {function description}
{argument1 name} ({argument type}): {argument description}
{argument2 name} ({argument type}): {argument description}
...
```
1. record: Call it to save some important info for other chapters. Like file path, function call example.
content (string): The content to be recorded.
2. next_chapter: Call it to go to next chapter.
system: Respond a JSON dictionary in a markdown's fenced code block as follows:
```json
{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
```
####
assistant: ################################Prompt################################
assistant: hi
assistant: ############################Result Parsed#############################
assistant: {'thought': 'The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.', 'speak': "Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?", 'function': []}
assistant: ################################Speak#################################
assistant: {'thought': 'The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.', 'speak': "Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?", 'function': []}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ## Tool Functions:
The following tool functions are available in the format of
```
{index}. {function name}: {function description}
{argument1 name} ({argument type}): {argument description}
{argument2 name} ({argument type}): {argument description}
...
```
1. record: Call it to save some important info for other chapters. Like file path, function call example.
content (string): The content to be recorded.
2. next_chapter: Call it to go to next chapter.
system: Respond a JSON dictionary in a markdown's fenced code block as follows:
```json
{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
```
####
assistant: ################################Prompt################################
assistant: 用中文交流
assistant: ############################Result Parsed#############################
assistant: {'thought': '学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。', 'speak': '好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？', 'function': []}
assistant: ################################Speak#################################
assistant: {'thought': '学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。', 'speak': '好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？', 'function': []}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ## Tool Functions:
The following tool functions are available in the format of
```
{index}. {function name}: {function description}
{argument1 name} ({argument type}): {argument description}
{argument2 name} ({argument type}): {argument description}
...
```
1. record: Call it to save some important info for other chapters. Like file path, function call example.
content (string): The content to be recorded.
2. next_chapter: Call it to go to next chapter.
system: Respond a JSON dictionary in a markdown's fenced code block as follows:
```json
{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
```
####
assistant: ################################Prompt################################
assistant: 13次
assistant: ############################Result Parsed#############################
assistant: {'thought': '学生的回答可能不正确，应该引导他进行思考并给出提示。', 'speak': '你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？', 'function': []}
assistant: ################################Speak#################################
assistant: {'thought': '学生的回答可能不正确，应该引导他进行思考并给出提示。', 'speak': '你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？', 'function': []}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ## Tool Functions:
The following tool functions are available in the format of
```
{index}. {function name}: {function description}
{argument1 name} ({argument type}): {argument description}
{argument2 name} ({argument type}): {argument description}
...
```
1. record: Call it to save some important info for other chapters. Like file path, function call example.
content (string): The content to be recorded.
2. next_chapter: Call it to go to next chapter.
system: Respond a JSON dictionary in a markdown's fenced code block as follows:
```json
{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
```
####
assistant: ################################Prompt################################
assistant: 每次二分都是排除一半的可能性，所以是log4000=12，最后多一次猜测
assistant: ############################Result Parsed#############################
assistant: {'thought': '学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。', 'speak': '很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？', 'function': [{'name': 'record', 'arguments': {'content': '学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。'}}]}
assistant: ################################Speak#################################
assistant: {'thought': '学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。', 'speak': '很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？', 'function': [{'name': 'record', 'arguments': {'content': '学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。'}}]}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ## Tool Functions:
The following tool functions are available in the format of
```
{index}. {function name}: {function description}
{argument1 name} ({argument type}): {argument description}
{argument2 name} ({argument type}): {argument description}
...
```
1. record: Call it to save some important info for other chapters. Like file path, function call example.
content (string): The content to be recorded.
2. next_chapter: Call it to go to next chapter.
system: Respond a JSON dictionary in a markdown's fenced code block as follows:
```json
{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
```
####
assistant: ################################Prompt################################
assistant: 好的 ，进入下一章
assistant: ############################Result Parsed#############################
assistant: {'thought': '学生准备进入下一章，我需要调用函数进行章节切换。', 'speak': '好的，我们现在进入下一章！', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
assistant: ################################Speak#################################
assistant: {'thought': '学生准备进入下一章，我需要调用函数进行章节切换。', 'speak': '好的，我们现在进入下一章！', 'function': '[{"name": "next_chapter", "arguments": {}}]'}