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Html/runs/run_20241127-172320_f1kjx7/.config Normal file
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{
"project": "IcQ7K6",
"name": "f1kjx7",
"run_id": "run_20241127-172320_f1kjx7",
"timestamp": "2024-11-27 17:23:20",
"pid": 24932
}

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Html/runs/run_20241127-172320_f1kjx7/agentscope.db Normal file
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Html/runs/run_20241127-172320_f1kjx7/code/app.py Normal file
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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()
uuid2user_id = {}
user_id2uuid = {}
@app.route('/backboard')
def backboard():
return jsonify({'status': 'success'})
def realtime_response(config, realtime_action):
user_id = config['user_id']
folder_path = config['path']
useruuid = user_id2uuid[user_id]
if backboard_manager.get_backboard(useruuid) == None:
backboard_manager.add_backboard(useruuid, folder_path)
bb = backboard_manager.get_backboard(useruuid)
assert type(bb) == Backboard
bb.add_history(realtime_action)
if realtime_action['type'] == 'workspaceFolders':
bb.file_tree = realtime_action['fileTree']
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_uuid = user_id2uuid[user]
session['user_id'] = user_uuid
print(f'User connected with session user_id: {user_uuid}')
# 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()
user_uuid, agent = agent_manager.new_agent(markdown, markdown_prompts, score_prompts, id=user_uuid)
join_room(user_uuid) # 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')
print(id)
# 构造回复消息
res = agent_manager.invoke(id, data, backboard_manager.get_backboard(id).get_info_prompt())
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())
print("user "+ user_id + "uuid is"+ session['user_id'])
user_id2uuid[user_id] = session['user_id']
uuid2user_id[session['user_id']] = user_id
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)

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Html/runs/run_20241127-172320_f1kjx7/code/backboardManager.py Normal file
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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:###"
f"- User is {self.user_id}"
f"- User's total study time is {self.get_deltatime_mmss(self.create_time, time.time())}"
f"- User's current chapter study time is {self.get_deltatime_mmss(self.enter_chapter_time, time.time())}"
f"- Activated file path: {self.active_file_path}"
f"- Activated file content (current editing 10 lines): "
f"```"
f"{self.active_file_content[-10:]}"
f"```"
f"- Last five action:{five_history}"
f"- File tree: {self.file_tree}")
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}"

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Html/runs/run_20241127-172320_f1kjx7/logging.chat Normal file
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{"id": "a8d08d6025134a33922494a3a15f69d1", "timestamp": "2024-11-27 17:24:03", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "af5cc2d30ed14f289457c053956c992f", "timestamp": "2024-11-27 17:24:03", "name": "system", "content": "###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:00:19- User's current chapter study time is 00:00:19- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders\n\n\n- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]", "role": "system", "url": null, "metadata": null}
{"id": "c9315e23ae064e76974ec548c0f24ff8", "timestamp": "2024-11-27 17:24:03", "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": "b6cc369f166c49dc93804f626dd4fb29", "timestamp": "2024-11-27 17:24:03", "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": "2dd05252f2bd4f95ba0e7d85a3f17680", "timestamp": "2024-11-27 17:24:03", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "54f80bcbeced442aaa406d2c4a461f3e", "timestamp": "2024-11-27 17:24:03", "name": "assistant", "content": "hi", "role": "assistant", "url": null, "metadata": null}
{"id": "c17554caf10b45ccab910dbabfd5d702", "timestamp": "2024-11-27 17:24:07", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "cf7ca4dbc45349beaf6857627eb47c6d", "timestamp": "2024-11-27 17:24:07", "name": "assistant", "content": "{'thought': 'The student should try to calculate the number of guesses needed for the range 1 to 4000 using binary search principles.', 'speak': '可以试着计算一下，从1到4000这个区间最坏情况下需要猜测几次？', 'function': '[]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "860a8208a28d42e38503eda8578886b0", "timestamp": "2024-11-27 17:24:07", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "781eb45da5c346528377248e83c593c2", "timestamp": "2024-11-27 17:24:07", "name": "assistant", "content": {"thought": "The student should try to calculate the number of guesses needed for the range 1 to 4000 using binary search principles.", "speak": "可以试着计算一下，从1到4000这个区间最坏情况下需要猜测几次？", "function": "[]"}, "role": "assistant", "url": null, "metadata": null}
{"id": "f54373937bb248a99ce02ec9601071ab", "timestamp": "2024-11-27 17:24:54", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "051edcab6197405d9dcb701554b95d6e", "timestamp": "2024-11-27 17:24:54", "name": "system", "content": "###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:01:09- User's current chapter study time is 00:01:09- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders\n\n\n- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]", "role": "system", "url": null, "metadata": null}
{"id": "44f2a4fe5e7c4cfbbc4675b3dfdbf182", "timestamp": "2024-11-27 17:24:54", "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": "8a738d0c424f4f26847cbe501a323c59", "timestamp": "2024-11-27 17:24:54", "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": "262801b749a44699ae2bfe7bb7c19e9b", "timestamp": "2024-11-27 17:24:54", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "96b294333637438384d59585a1508874", "timestamp": "2024-11-27 17:24:54", "name": "assistant", "content": "我觉得应该是13次\n", "role": "assistant", "url": null, "metadata": null}
{"id": "9bb6aa4088254365b8abe8a9cc91e27b", "timestamp": "2024-11-27 17:24:57", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "79d20e9269294802bf9e62e148dc48b3", "timestamp": "2024-11-27 17:24:57", "name": "assistant", "content": "{'thought': \"The student's answer seems close, but let's verify if 13 guesses align with the binary search principle applied to the range 1 to 4000.\", 'speak': '实际上，我们可以用公式来确认一下：在二分查找中，最坏情况下所需的猜测次数可以通过 log2(N) 来计算。你可以尝试计算一下 log2(4000) 的值，看看结果。', 'function': '[]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "7d7cc7f0a5e04b54a83d456828f0affd", "timestamp": "2024-11-27 17:24:57", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "2d574fd3ce9a4aaa87d11fdc476086fc", "timestamp": "2024-11-27 17:24:57", "name": "assistant", "content": {"thought": "The student's answer seems close, but let's verify if 13 guesses align with the binary search principle applied to the range 1 to 4000.", "speak": "实际上，我们可以用公式来确认一下：在二分查找中，最坏情况下所需的猜测次数可以通过 log2(N) 来计算。你可以尝试计算一下 log2(4000) 的值，看看结果。", "function": "[]"}, "role": "assistant", "url": null, "metadata": null}
{"id": "8a2bb250dd364dd9a0d96affe1af502a", "timestamp": "2024-11-27 17:25:48", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "3ced3f42ebbb484ab7a4594a818dc10e", "timestamp": "2024-11-27 17:25:48", "name": "system", "content": "###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:02:04- User's current chapter study time is 00:02:04- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders\n\n\n- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]", "role": "system", "url": null, "metadata": null}
{"id": "fb5060e3f13e448bb8b299f18b9f7c1d", "timestamp": "2024-11-27 17:25:48", "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": "e8c2bcf48c1b4404a29cb45fd46d3963", "timestamp": "2024-11-27 17:25:48", "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": "e592258c523f47d6987611d26a5a8255", "timestamp": "2024-11-27 17:25:48", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "1839d640d43541008227db69f8d8a70b", "timestamp": "2024-11-27 17:25:48", "name": "assistant", "content": "log2(4000)结果是12，确实 这12次意味着将答案备选区缩小到只有1个，再猜一次才能得到最后答案，因此是13！", "role": "assistant", "url": null, "metadata": null}
{"id": "8da158b6f7b44601bb1263efe50e73bc", "timestamp": "2024-11-27 17:25:53", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "44ecc1939f3248609874a1c5d86bd72d", "timestamp": "2024-11-27 17:25:53", "name": "assistant", "content": "{'thought': 'The student has correctly understood the binary search concept and the calculation of guesses needed. They are ready to move to the next chapter.', 'speak': '你说得对，确实是13次。很棒！现在你准备好继续学习下一个章节了吗？', 'function': '[{\"name\": \"next_chapter\", \"arguments\": {}}]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "8fcaf6bf63574025af87c9897c973fd3", "timestamp": "2024-11-27 17:25:53", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "91c24aeb15554e3893c3b3ab0537fdcc", "timestamp": "2024-11-27 17:25:53", "name": "assistant", "content": {"thought": "The student has correctly understood the binary search concept and the calculation of guesses needed. They are ready to move to the next chapter.", "speak": "你说得对，确实是13次。很棒！现在你准备好继续学习下一个章节了吗？", "function": "[{\"name\": \"next_chapter\", \"arguments\": {}}]"}, "role": "assistant", "url": null, "metadata": null}
{"id": "ce0a3f5460b341999cda364d2345f1b8", "timestamp": "2024-11-27 17:26:14", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "d6074e31413a4e15bd060f1a087c214e", "timestamp": "2024-11-27 17:26:14", "name": "system", "content": "###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:02:30- User's current chapter study time is 00:02:30- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders\n\n\n- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]", "role": "system", "url": null, "metadata": null}
{"id": "323c5480e3f74e4ba41e57c2b6af1a53", "timestamp": "2024-11-27 17:26:14", "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": "c95ba7061e3e4bc2b7c13bbca4f9267a", "timestamp": "2024-11-27 17:26:14", "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": "37bbae3ffc214da2b9e06b432f714d00", "timestamp": "2024-11-27 17:26:14", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "186f14170bf349c8a886dacd8470db34", "timestamp": "2024-11-27 17:26:14", "name": "assistant", "content": "是的！进入下一章！", "role": "assistant", "url": null, "metadata": null}
{"id": "e3877dd6911d4f12a97e01e896c4f100", "timestamp": "2024-11-27 17:26:17", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "81e65f2e91724fcdaa348076234cc744", "timestamp": "2024-11-27 17:26:17", "name": "assistant", "content": "{'thought': 'The student is ready to move to the next chapter, which focuses on implementing binary search.', 'speak': '好的，我们进入下一章！在这一章中，我们将尝试实现二分查找的代码。', 'function': '[{\"name\": \"next_chapter\", \"arguments\": {}}]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "77301e3961814bb7a0b0ba2561ff227b", "timestamp": "2024-11-27 17:26:17", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "b655fe870fa84099ada2caf77234dcfc", "timestamp": "2024-11-27 17:26:17", "name": "assistant", "content": {"thought": "The student is ready to move to the next chapter, which focuses on implementing binary search.", "speak": "好的，我们进入下一章！在这一章中，我们将尝试实现二分查找的代码。", "function": "[{\"name\": \"next_chapter\", \"arguments\": {}}]"}, "role": "assistant", "url": null, "metadata": null}
{"id": "30bf214c3a6b4454abafa9039b032940", "timestamp": "2024-11-27 17:26:48", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
{"id": "eb7b773dc8b242a38a45b4987f79da78", "timestamp": "2024-11-27 17:26:48", "name": "system", "content": "###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:03:04- User's current chapter study time is 00:03:04- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders\n\n\npaste\n/mnt/c/CAKE/vscode/cake/binary_search/binarySearch.py\n\nedit\n\n\n- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]", "role": "system", "url": null, "metadata": null}
{"id": "29e1de0687264405997a16c425c2738d", "timestamp": "2024-11-27 17:26:48", "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": "bb48da0e78e242948fd4c1d89ae99ad6", "timestamp": "2024-11-27 17:26:48", "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": "935ab227030c4cc8afdebd1e3714fb85", "timestamp": "2024-11-27 17:26:48", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
{"id": "b2ec38839ed04e3bbd964d03ab63d083", "timestamp": "2024-11-27 17:26:48", "name": "assistant", "content": "我已经写了一些代码了，下面该怎么写呢？", "role": "assistant", "url": null, "metadata": null}
{"id": "214494925be74f5a8feef2dd2a4d902d", "timestamp": "2024-11-27 17:26:53", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
{"id": "ef02f135e174439aaf091f563c99bc11", "timestamp": "2024-11-27 17:26:53", "name": "assistant", "content": "{'thought': 'The student is in the code implementation phase for binary search and needs guidance on how to proceed with their code.', 'speak': '好的，我们来完成二分查找的代码！首先，请确保你有一个有序数组，然后编写一个函数来实现二分查找。你可以定义函数的输入为数组和要查找的目标值。展示一下你写的代码内容，我们可以一起做进一步的修改。', 'function': '[]'}", "role": "assistant", "url": null, "metadata": null}
{"id": "4d6fb90990d74a4b9d0b50ec7050a4f1", "timestamp": "2024-11-27 17:26:53", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
{"id": "4cfd04e1adc641ae94a945908b682a34", "timestamp": "2024-11-27 17:26:53", "name": "assistant", "content": {"thought": "The student is in the code implementation phase for binary search and needs guidance on how to proceed with their code.", "speak": "好的，我们来完成二分查找的代码！首先，请确保你有一个有序数组，然后编写一个函数来实现二分查找。你可以定义函数的输入为数组和要查找的目标值。展示一下你写的代码内容，我们可以一起做进一步的修改。", "function": "[]"}, "role": "assistant", "url": null, "metadata": null}

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@@ -0,0 +1,161 @@
2024-11-27 17:23:26.905 | INFO | agentscope.models:read_model_configs:186 - Load configs for model wrapper: openai_cfg
2024-11-27 17:23:33.245 | INFO | agentscope.models.model:__init__:201 - Initialize model by configuration [openai_cfg]
2024-11-27 17:23:33.260 | 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'
2024-11-27 17:23:33.261 | INFO | agentscope.utils.monitor:register_budget:609 - set budget None to gpt-4o-mini
2024-11-27 17:23:33.262 | WARNING | agentscope.utils.monitor:register_budget:639 - Calculate budgets for model [gpt-4o-mini] is not supported
2024-11-27 17:23:33.276 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.call_counter] to SqliteMonitor with unit [times] and quota [None]
2024-11-27 17:23:33.299 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.prompt_tokens] to SqliteMonitor with unit [token] and quota [None]
2024-11-27 17:23:33.320 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.completion_tokens] to SqliteMonitor with unit [token] and quota [None]
2024-11-27 17:23:33.343 | 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: ###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:00:19- User's current chapter study time is 00:00:19- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders
- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]
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 should try to calculate the number of guesses needed for the range 1 to 4000 using binary search principles.', 'speak': '可以试着计算一下，从1到4000这个区间最坏情况下需要猜测几次？', 'function': '[]'}
assistant: ################################Speak#################################
assistant: {'thought': 'The student should try to calculate the number of guesses needed for the range 1 to 4000 using binary search principles.', 'speak': '可以试着计算一下，从1到4000这个区间最坏情况下需要猜测几次？', 'function': '[]'}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:01:09- User's current chapter study time is 00:01:09- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders
- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]
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: 我觉得应该是13次
assistant: ############################Result Parsed#############################
assistant: {'thought': "The student's answer seems close, but let's verify if 13 guesses align with the binary search principle applied to the range 1 to 4000.", 'speak': '实际上，我们可以用公式来确认一下：在二分查找中，最坏情况下所需的猜测次数可以通过 log2(N) 来计算。你可以尝试计算一下 log2(4000) 的值，看看结果。', 'function': '[]'}
assistant: ################################Speak#################################
assistant: {'thought': "The student's answer seems close, but let's verify if 13 guesses align with the binary search principle applied to the range 1 to 4000.", 'speak': '实际上，我们可以用公式来确认一下：在二分查找中，最坏情况下所需的猜测次数可以通过 log2(N) 来计算。你可以尝试计算一下 log2(4000) 的值，看看结果。', 'function': '[]'}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:02:04- User's current chapter study time is 00:02:04- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders
- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]
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: log2(4000)结果是12，确实 这12次意味着将答案备选区缩小到只有1个，再猜一次才能得到最后答案，因此是13！
assistant: ############################Result Parsed#############################
assistant: {'thought': 'The student has correctly understood the binary search concept and the calculation of guesses needed. They are ready to move to the next chapter.', 'speak': '你说得对，确实是13次。很棒！现在你准备好继续学习下一个章节了吗？', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
assistant: ################################Speak#################################
assistant: {'thought': 'The student has correctly understood the binary search concept and the calculation of guesses needed. They are ready to move to the next chapter.', 'speak': '你说得对，确实是13次。很棒！现在你准备好继续学习下一个章节了吗？', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:02:30- User's current chapter study time is 00:02:30- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders
- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]
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: 是的！进入下一章！
assistant: ############################Result Parsed#############################
assistant: {'thought': 'The student is ready to move to the next chapter, which focuses on implementing binary search.', 'speak': '好的，我们进入下一章！在这一章中，我们将尝试实现二分查找的代码。', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
assistant: ################################Speak#################################
assistant: {'thought': 'The student is ready to move to the next chapter, which focuses on implementing binary search.', 'speak': '好的，我们进入下一章！在这一章中，我们将尝试实现二分查找的代码。', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
assistant: ##################### ITER 1, STEP 1: REASONING ######################
system: ###Global Info:###- User is user_e6e87b0c-efed-4293-82f9-1454b14d6617- User's total study time is 00:03:04- User's current chapter study time is 00:03:04- Activated file path: - Activated file content (current editing 10 lines): ``````- Last five action:workspaceFolders
paste
/mnt/c/CAKE/vscode/cake/binary_search/binarySearch.py
edit
- File tree: [{'name': '.config', 'type': 'file'}, {'name': 'binarySearch.py', 'type': 'file'}]
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: 我已经写了一些代码了，下面该怎么写呢？
assistant: ############################Result Parsed#############################
assistant: {'thought': 'The student is in the code implementation phase for binary search and needs guidance on how to proceed with their code.', 'speak': '好的，我们来完成二分查找的代码！首先，请确保你有一个有序数组，然后编写一个函数来实现二分查找。你可以定义函数的输入为数组和要查找的目标值。展示一下你写的代码内容，我们可以一起做进一步的修改。', 'function': '[]'}
assistant: ################################Speak#################################
assistant: {'thought': 'The student is in the code implementation phase for binary search and needs guidance on how to proceed with their code.', 'speak': '好的，我们来完成二分查找的代码！首先，请确保你有一个有序数组，然后编写一个函数来实现二分查找。你可以定义函数的输入为数组和要查找的目标值。展示一下你写的代码内容，我们可以一起做进一步的修改。', 'function': '[]'}