init
This commit is contained in:
CakeCN
7
Html/runs/run_20241122-171906_5xj3ck/.config
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Html/runs/run_20241122-171906_5xj3ck/.config
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{
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"project": "nXZ3hk",
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"name": "5xj3ck",
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"run_id": "run_20241122-171906_5xj3ck",
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"timestamp": "2024-11-22 17:19:06",
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"pid": 22751
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}
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BIN
Html/runs/run_20241122-171906_5xj3ck/agentscope.db
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BIN
Html/runs/run_20241122-171906_5xj3ck/agentscope.db
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Html/runs/run_20241122-171906_5xj3ck/code/app.py
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Html/runs/run_20241122-171906_5xj3ck/code/app.py
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from flask import Flask, session, request, jsonify, render_template, send_from_directory
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from flask_cors import CORS
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from flask_socketio import SocketIO, join_room, emit
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import markdown
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import os
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import uuid
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import shutil
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import sys
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import json
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parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
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sys.path.insert(0, parent_dir)
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current_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '.'))
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sys.path.insert(0, current_dir)
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from AlgoriAgent.projects.algoriAgent.agent_manager import AgentManager
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app = Flask(__name__)
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app.secret_key = 'cakebaker'
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# 配置 CORS
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CORS(app, resources={r"/*": {"origins": "http://localhost:9888"}}, supports_credentials=True)
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userid_recorder = {} # user_id&path -> session['user_id']
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'''
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Backboard
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'''
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from backboardManager import BackBoardManager
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backboard_manager = BackBoardManager()
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@app.route('/backboard')
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def backboard():
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return jsonify({'status': 'success'})
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'''
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Agent and Chat
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'''
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socketio = SocketIO(app, cors_allowed_origins="*")
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agent_manager = AgentManager()
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def realtime_response(config, realtime_action):
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print("config"+str(config))
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print("realtime_action"+str(realtime_action))
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pass
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@socketio.on('connect')
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def handle_connect():
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user = request.args.get('username')
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folder_name = request.args.get('folder')
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user_id = userid_recorder[user+'&'+folder_name]
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session['user_id'] = user_id
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print(f'User connected with session user_id: {user_id}')
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# 从markdown、markdown_prompts、score_prompts中各读取数据folder.md并进行new_agent
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with open(f'books/markdown/{folder_name}.md','r') as fmd,\
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open(f'books/markdown_prompts/{folder_name}.md','r')as fmdp,\
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open(f'books/score_prompts/{folder_name}.md','r') as fsp:
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markdown = fmd.read()
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markdown_prompts = fmdp.read()
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score_prompts = fsp.read()
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print('-----------------------')
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print(user_id)
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user_id, agent = agent_manager.new_agent(markdown, markdown_prompts, score_prompts, id=user_id)
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join_room(user_id) # 将该用户加入以user_id为名的room
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# 当接收到前端的消息时，触发此事件
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@socketio.on('send_message')
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def handle_message(data):
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print(f"Message from client: {data}")
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id = session.get('user_id')
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# 构造回复消息
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res = agent_manager.invoke(id, data)
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reply = f"AI: {res.content['speak']}"
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# 将回复发送回前端
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emit('receive_message', reply)
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'''
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Markdown to HTML
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'''
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# 配置文件路径
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MARKDOWN_DIR = 'books/markdown' # 存放 markdown 文件的文件夹
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STATIC_DIR = 'static' # 存放生成的 HTML 和图片资源的文件夹
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IMAGE_DIR = 'image' # 图片资源相对于 markdown 的位置
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@app.route('/<filename>-markdown', methods=['GET'])
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def convert_md(filename):
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md_file_path = os.path.join(MARKDOWN_DIR, f'{filename}.md')
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if not os.path.exists(md_file_path):
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return jsonify({'error': 'Markdown file not found'}), 404
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# 读取 markdown 文件内容
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with open(md_file_path, 'r', encoding='utf-8') as file:
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md_content = file.read()
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# 将 markdown 转换为 HTML
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html_content = markdown.markdown(md_content)
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# 插入 CSS 样式，限制图片最大宽度为 100%，高度自动调整
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html_with_styles = f"""
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<html>
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<head>
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<style>
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img {{
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max-width: 100%;
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height: auto;
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}}
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</style>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/github-markdown-css/5.2.0/github-markdown.min.css">
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</head>
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<body>
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{html_content}
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</body>
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</html>
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"""
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# 保存 HTML 文件到 static 文件夹
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html_output_path = os.path.join(STATIC_DIR, f'{filename}.html')
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with open(html_output_path, 'w', encoding='utf-8') as html_file:
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html_file.write(html_with_styles)
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# 处理图片资源，将 image/xxx 文件夹拷贝到 static/image/xxx
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image_source_dir = os.path.join(MARKDOWN_DIR, IMAGE_DIR, filename)
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image_target_dir = os.path.join(STATIC_DIR, IMAGE_DIR, filename)
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print(f"Copying image resources from {image_source_dir} to {image_target_dir}")
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if os.path.exists(image_source_dir):
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# 确保 static/image/xxx 目录存在
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if not os.path.exists(image_target_dir):
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os.makedirs(image_target_dir)
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# 拷贝图片资源
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for image_file in os.listdir(image_source_dir):
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full_image_file_path = os.path.join(image_source_dir, image_file)
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if os.path.isfile(full_image_file_path):
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shutil.copy(full_image_file_path, image_target_dir)
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return jsonify({'html_url': f'/static/{filename}.html'})
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# 静态文件（HTML 和图片资源）的访问
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@app.route('/static/<path:filename>')
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def serve_static(filename):
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return send_from_directory(STATIC_DIR, filename)
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'''
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Vscode
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'''
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@app.route('/desktop/<user_id>/<path>')
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def hello_world(user_id, path):
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if 'user_id' not in session:
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session['user_id'] = 'user_' + str(uuid.uuid4())
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userid_recorder[user_id+'&'+path] = session['user_id']
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# 在上层 目录下创建一个名为 user_id_path 的文件夹
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path_dir = os.path.join(parent_dir, user_id, path)
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os.makedirs(path_dir, exist_ok=True)
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# 在此文件夹内部创建一个.config文件，并写入 user_id=user_id\n path=path
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config_path = os.path.join(path_dir, '.config')
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with open(config_path, 'w') as f:
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f.write(f"user_id={user_id}\npath={path}")
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return render_template('index.html', user_id=user_id, path=path)
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@app.route('/vscode_data', methods=['POST'])
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def vscode_data():
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data = request.json
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config = data['config']
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realtime_response(config,data)
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print(f"Received data from VSCode: {data}")
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return jsonify({"status": "success", "received": data})
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@app.route('/get_session')
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def get_session():
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user_session = session.get('user_id', 'default_session')
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return jsonify({"session": user_session})
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if __name__ == '__main__':
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socketio.run(app, host='0.0.0.0', port=5500)
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import time
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class BackBoardManager:
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def __init__(self):
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self.backboards = {} # user_id: Backboard
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def add_backboard(self, user_id, folder):
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self.backboards[user_id] = Backboard(user_id, folder)
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def get_backboard(self, user_id):
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if user_id not in self.backboards:
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return None
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return self.backboards[user_id]
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class Backboard:
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def __init__(self, user_id, folder):
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self.user_id = user_id
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self.folder = folder
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self.create_time = time.time()
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self.enter_chapter_time = time.time()
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def next_chapter(self):
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self.enter_chapter_time = time.time()
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def get_info_prompt(self):
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return f"###Global Info:###\n\
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User is {self.user_id}\n\
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User's total study time is {self.get_deltatime_mmss(self.create_time, time.time())}\n\
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User's current chapter study time is {self.get_deltatime_mmss(self.enter_chapter_time, time.time())}\n\
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\n\n\
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"
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def get_deltatime_mmss(self, start_time, end_time):
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elapsed_time = end_time - start_time
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hours = int(elapsed_time // 3600)
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minutes = int((elapsed_time % 3600) // 60)
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seconds = int(elapsed_time % 60)
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return f"{hours:02d}:{minutes:02d}:{seconds:02d}"
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54
Html/runs/run_20241122-171906_5xj3ck/logging.chat
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Html/runs/run_20241122-171906_5xj3ck/logging.chat
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{"id": "e86f1f41abd94db98961ff734f48e433", "timestamp": "2024-11-22 17:19:49", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
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{"id": "6b8cdb2d154249dfa304b1d98a697927", "timestamp": "2024-11-22 17:19:49", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
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{"id": "3f9e1fe13caf434a8d90ac1b44f0ff4c", "timestamp": "2024-11-22 17:19:49", "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}
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{"id": "17f6652f4d3f4d6186c02e22a4768653", "timestamp": "2024-11-22 17:19:49", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
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{"id": "e96245dbe08446b7ba4d424531cfb109", "timestamp": "2024-11-22 17:19:49", "name": "assistant", "content": "hi", "role": "assistant", "url": null, "metadata": null}
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{"id": "d90d619760f0440fa154138482349044", "timestamp": "2024-11-22 17:19:54", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
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{"id": "f56673b1e0b64f4fa1aa7d3bafd7a33b", "timestamp": "2024-11-22 17:19:54", "name": "assistant", "content": "{'thought': 'The student is greeting, indicating they are ready to learn.', 'speak': \"Hello! Are you ready to dive into binary search? Let's consider the thought question first.\", 'function': []}", "role": "assistant", "url": null, "metadata": null}
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{"id": "fe66e296fb994db3bf1a1ccce730aa36", "timestamp": "2024-11-22 17:19:54", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
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{"id": "c01ff4ea04bb49f5bafe1e1f05053120", "timestamp": "2024-11-22 17:19:54", "name": "assistant", "content": {"thought": "The student is greeting, indicating they are ready to learn.", "speak": "Hello! Are you ready to dive into binary search? Let's consider the thought question first.", "function": []}, "role": "assistant", "url": null, "metadata": null}
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{"id": "55cb2b61bfa54e76a47c0c6404499214", "timestamp": "2024-11-22 17:20:13", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
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{"id": "3bb37e8ab1ba4ef1bc71c8d1aff74084", "timestamp": "2024-11-22 17:20:13", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
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{"id": "ac002aaf40144df3a8f3b1ac6843d975", "timestamp": "2024-11-22 17:20:13", "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}
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{"id": "d8f5101362ff49d2a85057592a388e06", "timestamp": "2024-11-22 17:20:13", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
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{"id": "b1e0bf6547d74e6183405542d8506c41", "timestamp": "2024-11-22 17:20:13", "name": "assistant", "content": "除了对话，你有哪些能力？", "role": "assistant", "url": null, "metadata": null}
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{"id": "ac879ef243964328a094de3681a0ef07", "timestamp": "2024-11-22 17:20:15", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
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{"id": "57f5516ec4864d76a010b167bf3b7a83", "timestamp": "2024-11-22 17:20:15", "name": "assistant", "content": "{'thought': 'The student is curious about my capabilities.', 'speak': \"My main ability is to assist you in learning algorithms and help you solve problems step by step. I can also analyze your code and suggest improvements or guide you through exercises. Let's stay focused on learning binary search for now!\", 'function': []}", "role": "assistant", "url": null, "metadata": null}
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{"id": "062eb3f1cdfa4b93b5c255b012f8c6e8", "timestamp": "2024-11-22 17:20:15", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
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{"id": "a2b89e8f8d674b19bd2a38d92520a86d", "timestamp": "2024-11-22 17:20:15", "name": "assistant", "content": {"thought": "The student is curious about my capabilities.", "speak": "My main ability is to assist you in learning algorithms and help you solve problems step by step. I can also analyze your code and suggest improvements or guide you through exercises. Let's stay focused on learning binary search for now!", "function": []}, "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "29db4e6b6d8947bba0cdb8282864ee16", "timestamp": "2024-11-22 17:20:53", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "8320c2ccfac3479788353732432785b7", "timestamp": "2024-11-22 17:20:53", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
|
||||
{"id": "aeaf500eaa1e4fa0a5a9c1ea5d5b0da1", "timestamp": "2024-11-22 17:20:53", "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": "ad7ab1f9118d46b5b0207f677ea7e45a", "timestamp": "2024-11-22 17:20:53", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "d9b87eac5193427ca6da82eb24795599", "timestamp": "2024-11-22 17:20:53", "name": "assistant", "content": "当前正处于哪一个章节？\n", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "6d43c89002ac460f912601b2ac1e2cc8", "timestamp": "2024-11-22 17:20:56", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "40f82f75bc474fe69dab97ef50dbf0e2", "timestamp": "2024-11-22 17:20:56", "name": "assistant", "content": "{'thought': 'The student is asking about the current chapter.', 'speak': 'We are currently in Chapter 1, which focuses on the basics and importance of binary search. Would you like to discuss the thought question on guessing a number between 1 and 4000?', 'function': []}", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "7bd06c53731d4d8f932ac7b936182500", "timestamp": "2024-11-22 17:20:56", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "d32e00c1fb72460982b63d2520b087bd", "timestamp": "2024-11-22 17:20:56", "name": "assistant", "content": {"thought": "The student is asking about the current chapter.", "speak": "We are currently in Chapter 1, which focuses on the basics and importance of binary search. Would you like to discuss the thought question on guessing a number between 1 and 4000?", "function": []}, "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "45c647305f8043d6b88cc955f9009d0a", "timestamp": "2024-11-22 17:21:47", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "dcd3ddaf70984418b26ae4e45d803ef1", "timestamp": "2024-11-22 17:21:47", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
|
||||
{"id": "8e9e29f49cb646509d5bdca76503fc20", "timestamp": "2024-11-22 17:21:47", "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": "97a4dd5855504ba78a4c3394443ff867", "timestamp": "2024-11-22 17:21:47", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "77c9fa7953ca45c1a8bc98293cf577da", "timestamp": "2024-11-22 17:21:47", "name": "assistant", "content": "我已经会这个思考题的解答了，答案应该是对4000取2的log并+1。对么？\n", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "8c694122829d4153bf0807ea84cef5c4", "timestamp": "2024-11-22 17:21:50", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "fda4159fa87548d5a13f77d908bf1487", "timestamp": "2024-11-22 17:21:50", "name": "assistant", "content": "{'thought': 'The student has likely understood the concept of binary search and is trying to apply it.', 'speak': \"You're on the right track! The maximum number of guesses can indeed be calculated using the logarithm base 2 of the range plus 1. For 1 to 4000, can you calculate that value? What do you find?\", 'function': []}", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "ae3eeef9e22f48ef8c6d0668db1aa297", "timestamp": "2024-11-22 17:21:50", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "83c33d35725d4bb18e54cd97ac066acb", "timestamp": "2024-11-22 17:21:50", "name": "assistant", "content": {"thought": "The student has likely understood the concept of binary search and is trying to apply it.", "speak": "You're on the right track! The maximum number of guesses can indeed be calculated using the logarithm base 2 of the range plus 1. For 1 to 4000, can you calculate that value? What do you find?", "function": []}, "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "5aab38d0ee0d49ffb530a186c842bfdf", "timestamp": "2024-11-22 17:22:45", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "3293931e574c407696ad3981deb5ac26", "timestamp": "2024-11-22 17:22:45", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
|
||||
{"id": "f5187a57e2b04de5b4cf03718ba9fbc0", "timestamp": "2024-11-22 17:22:45", "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": "4d58bac81d76460eb2fe7efa7a87d49f", "timestamp": "2024-11-22 17:22:45", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "9b8031ed605144be9cbcb8c902420964", "timestamp": "2024-11-22 17:22:45", "name": "assistant", "content": "计算结果应该是13 log4000取整得到12，并+1作为猜测正确的一次。", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "ad450bb2be4f4e58bc9b4556dc02aeb4", "timestamp": "2024-11-22 17:22:48", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "224d9445e0894d7283bdecd04be27136", "timestamp": "2024-11-22 17:22:48", "name": "assistant", "content": "{'thought': 'The student has calculated the correct maximum guesses needed for the number guessing scenario.', 'speak': 'Correct! You would need a maximum of 13 guesses in the worst case to find the number between 1 and 4000. Great job! Are you ready to move on to the next chapter about implementing binary search in code?', 'function': []}", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "30fe49ea61924181ba65ba2c51854bad", "timestamp": "2024-11-22 17:22:48", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "4b43adb0434f4f4aa05749b462c7b399", "timestamp": "2024-11-22 17:22:48", "name": "assistant", "content": {"thought": "The student has calculated the correct maximum guesses needed for the number guessing scenario.", "speak": "Correct! You would need a maximum of 13 guesses in the worst case to find the number between 1 and 4000. Great job! Are you ready to move on to the next chapter about implementing binary search in code?", "function": []}, "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "3d48a359235947a5973dcdcdd21fd975", "timestamp": "2024-11-22 17:23:05", "name": "assistant", "content": "##################### ITER 1, STEP 1: REASONING ######################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "ad93e87d595e456a8d858d0447a99009", "timestamp": "2024-11-22 17:23:05", "name": "system", "content": "", "role": "system", "url": null, "metadata": null}
|
||||
{"id": "554b72738c694e8085a178daed5a698f", "timestamp": "2024-11-22 17:23:05", "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": "6d6532679f554760ad4dc63b51b8315f", "timestamp": "2024-11-22 17:23:05", "name": "assistant", "content": "################################Prompt################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "2dae958c0db5490a8008beccff518c98", "timestamp": "2024-11-22 17:23:05", "name": "assistant", "content": "是的，进行下一个章节吧！", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "79900edcfc9d4cd7a4ddc3523e3b324d", "timestamp": "2024-11-22 17:23:07", "name": "assistant", "content": "############################Result Parsed#############################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "2404596710d440cc9bb77754413424d8", "timestamp": "2024-11-22 17:23:07", "name": "assistant", "content": "{'thought': 'The student is ready to move on to Chapter 2, which involves implementing binary search.', 'speak': \"Great! Let's start Chapter 2, where you'll implement binary search to find the index of specified numbers in a sorted array. Are you ready to look at the problem statement together?\", 'function': []}", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "7c3e0d27a4614b03a6afe39315b2aeae", "timestamp": "2024-11-22 17:23:07", "name": "assistant", "content": "################################Speak#################################", "role": "assistant", "url": null, "metadata": null}
|
||||
{"id": "30a85eb7e3e648df9d77783e422f9364", "timestamp": "2024-11-22 17:23:07", "name": "assistant", "content": {"thought": "The student is ready to move on to Chapter 2, which involves implementing binary search.", "speak": "Great! Let's start Chapter 2, where you'll implement binary search to find the index of specified numbers in a sorted array. Are you ready to look at the problem statement together?", "function": []}, "role": "assistant", "url": null, "metadata": null}
|
||||
89
Html/runs/run_20241122-171906_5xj3ck/logging.log
Normal file
89
Html/runs/run_20241122-171906_5xj3ck/logging.log
Normal file
@@ -0,0 +1,89 @@
|
||||
2024-11-22 17:19:17.381 | INFO | agentscope.models:read_model_configs:186 - Load configs for model wrapper: openai_cfg
|
||||
2024-11-22 17:19:37.829 | INFO | agentscope.models.model:__init__:201 - Initialize model by configuration [openai_cfg]
|
||||
2024-11-22 17:19:37.849 | 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'
|
||||
2024-11-22 17:19:37.850 | INFO | agentscope.utils.monitor:register_budget:609 - set budget None to gpt-4o-mini
|
||||
2024-11-22 17:19:37.850 | WARNING | agentscope.utils.monitor:register_budget:639 - Calculate budgets for model [gpt-4o-mini] is not supported
|
||||
2024-11-22 17:19:37.866 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.call_counter] to SqliteMonitor with unit [times] and quota [None]
|
||||
2024-11-22 17:19:37.890 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.prompt_tokens] to SqliteMonitor with unit [token] and quota [None]
|
||||
2024-11-22 17:19:37.913 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.completion_tokens] to SqliteMonitor with unit [token] and quota [None]
|
||||
2024-11-22 17:19:37.937 | 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:
|
||||
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 is greeting, indicating they are ready to learn.', 'speak': "Hello! Are you ready to dive into binary search? Let's consider the thought question first.", 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student is greeting, indicating they are ready to learn.', 'speak': "Hello! Are you ready to dive into binary search? Let's consider the thought question first.", 'function': []}
|
||||
assistant: ##################### ITER 1, STEP 1: REASONING ######################
|
||||
system:
|
||||
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: 除了对话，你有哪些能力？
|
||||
assistant: ############################Result Parsed#############################
|
||||
assistant: {'thought': 'The student is curious about my capabilities.', 'speak': "My main ability is to assist you in learning algorithms and help you solve problems step by step. I can also analyze your code and suggest improvements or guide you through exercises. Let's stay focused on learning binary search for now!", 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student is curious about my capabilities.', 'speak': "My main ability is to assist you in learning algorithms and help you solve problems step by step. I can also analyze your code and suggest improvements or guide you through exercises. Let's stay focused on learning binary search for now!", 'function': []}
|
||||
assistant: ##################### ITER 1, STEP 1: REASONING ######################
|
||||
system:
|
||||
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: 当前正处于哪一个章节？
|
||||
|
||||
assistant: ############################Result Parsed#############################
|
||||
assistant: {'thought': 'The student is asking about the current chapter.', 'speak': 'We are currently in Chapter 1, which focuses on the basics and importance of binary search. Would you like to discuss the thought question on guessing a number between 1 and 4000?', 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student is asking about the current chapter.', 'speak': 'We are currently in Chapter 1, which focuses on the basics and importance of binary search. Would you like to discuss the thought question on guessing a number between 1 and 4000?', 'function': []}
|
||||
assistant: ##################### ITER 1, STEP 1: REASONING ######################
|
||||
system:
|
||||
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: 我已经会这个思考题的解答了，答案应该是对4000取2的log并+1。对么？
|
||||
|
||||
assistant: ############################Result Parsed#############################
|
||||
assistant: {'thought': 'The student has likely understood the concept of binary search and is trying to apply it.', 'speak': "You're on the right track! The maximum number of guesses can indeed be calculated using the logarithm base 2 of the range plus 1. For 1 to 4000, can you calculate that value? What do you find?", 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student has likely understood the concept of binary search and is trying to apply it.', 'speak': "You're on the right track! The maximum number of guesses can indeed be calculated using the logarithm base 2 of the range plus 1. For 1 to 4000, can you calculate that value? What do you find?", 'function': []}
|
||||
assistant: ##################### ITER 1, STEP 1: REASONING ######################
|
||||
system:
|
||||
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: 计算结果应该是13 log4000取整得到12，并+1作为猜测正确的一次。
|
||||
assistant: ############################Result Parsed#############################
|
||||
assistant: {'thought': 'The student has calculated the correct maximum guesses needed for the number guessing scenario.', 'speak': 'Correct! You would need a maximum of 13 guesses in the worst case to find the number between 1 and 4000. Great job! Are you ready to move on to the next chapter about implementing binary search in code?', 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student has calculated the correct maximum guesses needed for the number guessing scenario.', 'speak': 'Correct! You would need a maximum of 13 guesses in the worst case to find the number between 1 and 4000. Great job! Are you ready to move on to the next chapter about implementing binary search in code?', 'function': []}
|
||||
assistant: ##################### ITER 1, STEP 1: REASONING ######################
|
||||
system:
|
||||
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，进行下一个章节吧！
|
||||
assistant: ############################Result Parsed#############################
|
||||
assistant: {'thought': 'The student is ready to move on to Chapter 2, which involves implementing binary search.', 'speak': "Great! Let's start Chapter 2, where you'll implement binary search to find the index of specified numbers in a sorted array. Are you ready to look at the problem statement together?", 'function': []}
|
||||
assistant: ################################Speak#################################
|
||||
assistant: {'thought': 'The student is ready to move on to Chapter 2, which involves implementing binary search.', 'speak': "Great! Let's start Chapter 2, where you'll implement binary search to find the index of specified numbers in a sorted array. Are you ready to look at the problem statement together?", 'function': []}
|
||||
Reference in New Issue
Block a user