add env
Browse files- owl/app.py +210 -60
- owl/script_adapter.py +80 -29
owl/app.py
CHANGED
@@ -9,10 +9,16 @@ import queue
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import re
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from pathlib import Path
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import json
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# 设置日志队列
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log_queue = queue.Queue()
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# 脚本选项
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SCRIPTS = {
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"Qwen Mini (中文)": "run_qwen_mini_zh.py",
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@@ -33,12 +39,98 @@ SCRIPT_DESCRIPTIONS = {
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"GAIA Roleplaying": "GAIA基准测试实现,用于评估模型能力"
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}
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def get_script_info(script_name):
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"""获取脚本的详细信息"""
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return SCRIPT_DESCRIPTIONS.get(script_name, "无描述信息")
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def run_script(script_dropdown, question, progress=gr.Progress()):
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"""运行选定的脚本并返回输出"""
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script_name = SCRIPTS[script_dropdown]
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if not question.strip():
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@@ -64,19 +156,20 @@ def run_script(script_dropdown, question, progress=gr.Progress()):
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env["OWL_QUESTION"] = question
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# 启动进程
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-
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# 创建线程来读取输出
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def read_output():
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with open(log_file, "w", encoding="utf-8") as f:
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for line in iter(
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if line:
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# 写入日志文件
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f.write(line)
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@@ -95,11 +188,13 @@ def run_script(script_dropdown, question, progress=gr.Progress()):
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start_time = time.time()
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timeout = 1800 # 30分钟超时
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while
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# 检查是否超时
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if time.time() - start_time > timeout:
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break
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# 从队列获取日志
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time.sleep(0.1)
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# 每秒更新一次日志显示
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yield status_message(
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# 获取剩余日志
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while not log_queue.empty():
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@@ -125,7 +220,7 @@ def run_script(script_dropdown, question, progress=gr.Progress()):
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chat_history = extract_chat_history(logs)
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# 返回最终状态和日志
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return status_message(
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def status_message(process):
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"""根据进程状态返回状态消息"""
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@@ -203,6 +298,9 @@ def modify_script(script_name, question):
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def create_ui():
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"""创建Gradio界面"""
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as app:
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gr.Markdown(
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"""
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@@ -212,47 +310,101 @@ def create_ui():
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"""
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)
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with gr.
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with gr.
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inputs=script_dropdown,
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outputs=script_info
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)
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with gr.TabItem("运行日志"):
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log_output = gr.Textbox(label="完整日志", lines=25)
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with gr.TabItem("聊天历史"):
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chat_output = gr.Chatbot(label="对话历史")
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run_button.click(
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fn=run_script,
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inputs=[
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@@ -263,16 +415,11 @@ def create_ui():
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show_progress=True
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)
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-
#
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[
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[
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]
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gr.Examples(
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examples=examples,
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inputs=[script_dropdown, question_input]
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)
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# 添加页脚
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@@ -282,15 +429,18 @@ def create_ui():
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- 选择一个模型并输入您的问题
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- 点击"运行"按钮开始执行
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- 在"结果"标签页查看执行状态和回答
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- 在"运行日志"标签页查看完整日志
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- 在"聊天历史"标签页查看对话历史(如果有)
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### ⚠️ 注意事项
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- 运行某些模型可能需要API
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- 某些脚本可能需要较长时间运行,请耐心等待
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- 如果运行超过30分钟,进程将自动终止
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"""
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)
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import re
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from pathlib import Path
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import json
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import signal
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import dotenv
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# 设置日志队列
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log_queue = queue.Queue()
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# 当前运行的进程
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current_process = None
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process_lock = threading.Lock()
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# 脚本选项
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SCRIPTS = {
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"Qwen Mini (中文)": "run_qwen_mini_zh.py",
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"GAIA Roleplaying": "GAIA基准测试实现,用于评估模型能力"
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}
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# 环境变量分组
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ENV_GROUPS = {
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"模型API": [
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{"name": "OPENAI_API_KEY", "label": "OpenAI API密钥", "type": "password", "required": True},
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{"name": "OPENAI_API_BASE_URL", "label": "OpenAI API基础URL", "type": "text", "required": False},
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{"name": "QWEN_API_KEY", "label": "阿里云Qwen API密钥", "type": "password", "required": False},
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{"name": "DEEPSEEK_API_KEY", "label": "DeepSeek API密钥", "type": "password", "required": False},
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],
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"搜索工具": [
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{"name": "GOOGLE_API_KEY", "label": "Google API密钥", "type": "password", "required": False},
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{"name": "SEARCH_ENGINE_ID", "label": "搜索引擎ID", "type": "text", "required": False},
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],
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"其他工具": [
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{"name": "HF_TOKEN", "label": "Hugging Face令牌", "type": "password", "required": False},
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{"name": "CHUNKR_API_KEY", "label": "Chunkr API密钥", "type": "password", "required": False},
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{"name": "FIRECRAWL_API_KEY", "label": "Firecrawl API密钥", "type": "password", "required": False},
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]
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}
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def get_script_info(script_name):
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"""获取脚本的详细信息"""
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return SCRIPT_DESCRIPTIONS.get(script_name, "无描述信息")
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def load_env_vars():
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"""加载环境变量"""
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env_vars = {}
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# 尝试从.env文件加载
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dotenv.load_dotenv()
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# 获取所有环境变量
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for group in ENV_GROUPS.values():
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for var in group:
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env_vars[var["name"]] = os.environ.get(var["name"], "")
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return env_vars
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def save_env_vars(env_vars):
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"""保存环境变量到.env文件"""
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# 读取现有的.env文件内容
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env_path = Path(".env")
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existing_content = {}
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if env_path.exists():
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with open(env_path, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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key, value = line.split("=", 1)
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existing_content[key.strip()] = value.strip()
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# 更新环境变量
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for key, value in env_vars.items():
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if value: # 只保存非空值
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existing_content[key] = value
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# 同时更新当前进程的环境变量
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os.environ[key] = value
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# 写入.env文件
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with open(env_path, "w", encoding="utf-8") as f:
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for key, value in existing_content.items():
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f.write(f"{key}={value}\n")
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return "环境变量已保存"
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def terminate_process():
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"""终止当前运行的进程"""
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global current_process
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with process_lock:
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if current_process is not None and current_process.poll() is None:
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# 在Windows上使用CTRL_BREAK_EVENT,在Unix上使用SIGTERM
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if os.name == 'nt':
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current_process.send_signal(signal.CTRL_BREAK_EVENT)
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else:
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current_process.terminate()
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# 等待进程终止
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try:
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current_process.wait(timeout=5)
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except subprocess.TimeoutExpired:
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# 如果进程没有在5秒内终止,强制终止
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current_process.kill()
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log_queue.put("进程已终止\n")
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return "✅ 进程已终止"
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else:
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return "❌ 没有正在运行的进程"
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def run_script(script_dropdown, question, progress=gr.Progress()):
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"""运行选定的脚本并返回输出"""
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global current_process
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script_name = SCRIPTS[script_dropdown]
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if not question.strip():
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env["OWL_QUESTION"] = question
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# 启动进程
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with process_lock:
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current_process = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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text=True,
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bufsize=1,
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env=env
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)
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# 创建线程来读取输出
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def read_output():
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with open(log_file, "w", encoding="utf-8") as f:
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for line in iter(current_process.stdout.readline, ""):
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if line:
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# 写入日志文件
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f.write(line)
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start_time = time.time()
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timeout = 1800 # 30分钟超时
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while current_process.poll() is None:
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# 检查是否超时
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if time.time() - start_time > timeout:
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with process_lock:
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if current_process.poll() is None:
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current_process.terminate()
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log_queue.put("执行超时,已终止进程\n")
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break
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# 从队列获取日志
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time.sleep(0.1)
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# 每秒更新一次日志显示
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yield status_message(current_process), extract_answer(logs), "".join(logs), str(log_file), None
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# 获取剩余日志
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while not log_queue.empty():
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chat_history = extract_chat_history(logs)
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# 返回最终状态和日志
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return status_message(current_process), extract_answer(logs), "".join(logs), str(log_file), chat_history
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def status_message(process):
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"""根据进程状态返回状态消息"""
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def create_ui():
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"""创建Gradio界面"""
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# 加载环境变量
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env_vars = load_env_vars()
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as app:
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gr.Markdown(
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"""
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"""
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)
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with gr.Tabs() as tabs:
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with gr.TabItem("运行模型"):
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with gr.Row():
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with gr.Column(scale=1):
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script_dropdown = gr.Dropdown(
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choices=list(SCRIPTS.keys()),
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value=list(SCRIPTS.keys())[0],
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label="选择模型"
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)
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script_info = gr.Textbox(
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value=get_script_info(list(SCRIPTS.keys())[0]),
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label="模型描述",
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interactive=False
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)
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script_dropdown.change(
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fn=lambda x: get_script_info(x),
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inputs=script_dropdown,
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outputs=script_info
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)
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question_input = gr.Textbox(
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lines=5,
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placeholder="请输入您的问题...",
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label="问题"
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)
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gr.Markdown(
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"""
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> **注意**: 您输入的问题将替换脚本中的默认问题。系统会自动处理问题的替换,确保您的问题被正确使用。
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"""
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)
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with gr.Row():
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run_button = gr.Button("运行", variant="primary")
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stop_button = gr.Button("终止", variant="stop")
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with gr.Column(scale=2):
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with gr.Tabs():
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with gr.TabItem("结果"):
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status_output = gr.Textbox(label="状态")
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answer_output = gr.Textbox(label="回答", lines=10)
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log_file_output = gr.Textbox(label="日志文件路径")
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with gr.TabItem("运行日志"):
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log_output = gr.Textbox(label="完整日志", lines=25)
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with gr.TabItem("聊天历史"):
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chat_output = gr.Chatbot(label="对话历史")
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# 示例问题
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examples = [
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["Qwen Mini (中文)", "打开小红书上浏览推荐栏目下的前三个笔记内容,不要登陆,之后给我一个��结报告"],
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367 |
+
["Mini", "What was the volume in m^3 of the fish bag that was calculated in the University of Leicester paper `Can Hiccup Supply Enough Fish to Maintain a Dragon's Diet?`"],
|
368 |
+
["默认", "What is the current weather in New York?"]
|
369 |
+
]
|
370 |
|
371 |
+
gr.Examples(
|
372 |
+
examples=examples,
|
373 |
+
inputs=[script_dropdown, question_input]
|
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|
374 |
)
|
375 |
+
|
376 |
+
with gr.TabItem("环境变量配置"):
|
377 |
+
env_inputs = {}
|
378 |
+
save_status = gr.Textbox(label="保存状态", interactive=False)
|
379 |
|
380 |
+
for group_name, vars in ENV_GROUPS.items():
|
381 |
+
with gr.Accordion(group_name, open=True):
|
382 |
+
for var in vars:
|
383 |
+
if var["type"] == "password":
|
384 |
+
env_inputs[var["name"]] = gr.Textbox(
|
385 |
+
value=env_vars.get(var["name"], ""),
|
386 |
+
label=var["label"] + (" (必填)" if var.get("required", False) else ""),
|
387 |
+
placeholder=f"请输入{var['label']}",
|
388 |
+
type="password"
|
389 |
+
)
|
390 |
+
else:
|
391 |
+
env_inputs[var["name"]] = gr.Textbox(
|
392 |
+
value=env_vars.get(var["name"], ""),
|
393 |
+
label=var["label"] + (" (必填)" if var.get("required", False) else ""),
|
394 |
+
placeholder=f"请输入{var['label']}"
|
395 |
+
)
|
396 |
|
397 |
+
save_button = gr.Button("保存环境变量", variant="primary")
|
398 |
+
|
399 |
+
# 保存环境变量
|
400 |
+
save_inputs = [env_inputs[var_name] for group in ENV_GROUPS.values() for var in group for var_name in [var["name"]]]
|
401 |
+
save_button.click(
|
402 |
+
fn=lambda *values: save_env_vars(dict(zip([var["name"] for group in ENV_GROUPS.values() for var in group], values))),
|
403 |
+
inputs=save_inputs,
|
404 |
+
outputs=save_status
|
405 |
+
)
|
|
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|
406 |
|
407 |
+
# 运行脚本
|
408 |
run_button.click(
|
409 |
fn=run_script,
|
410 |
inputs=[
|
|
|
415 |
show_progress=True
|
416 |
)
|
417 |
|
418 |
+
# 终止运行
|
419 |
+
stop_button.click(
|
420 |
+
fn=terminate_process,
|
421 |
+
inputs=[],
|
422 |
+
outputs=[status_output]
|
|
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|
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|
|
|
423 |
)
|
424 |
|
425 |
# 添加页脚
|
|
|
429 |
|
430 |
- 选择一个模型并输入您的问题
|
431 |
- 点击"运行"按钮开始执行
|
432 |
+
- 如需终止运行,点击"终止"按钮
|
433 |
- 在"结果"标签页查看执行状态和回答
|
434 |
- 在"运行日志"标签页查看完整日志
|
435 |
- 在"聊天历史"标签页查看对话历史(如果有)
|
436 |
+
- 在"环境变量配置"标签页配置API密钥和其他环境变量
|
437 |
|
438 |
### ⚠️ 注意事项
|
439 |
|
440 |
+
- 运行某些模型可能需要API密钥,请确保在"��境变量配置"标签页中设置了相应的环境变量
|
441 |
- 某些脚本可能需要较长时间运行,请耐心等待
|
442 |
- 如果运行超过30分钟,进程将自动终止
|
443 |
+
- 您输入的问题将替换脚本中的默认问题,确保问题与所选模型兼容
|
444 |
"""
|
445 |
)
|
446 |
|
owl/script_adapter.py
CHANGED
@@ -26,45 +26,96 @@ def run_script_with_env_question(script_name):
|
|
26 |
print(f"错误: 脚本 {script_path} 不存在")
|
27 |
sys.exit(1)
|
28 |
|
29 |
-
#
|
30 |
-
|
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|
31 |
try:
|
32 |
# 将脚本目录添加到sys.path
|
33 |
script_dir = script_path.parent
|
34 |
if str(script_dir) not in sys.path:
|
35 |
sys.path.insert(0, str(script_dir))
|
36 |
|
37 |
-
# 读取脚本内容
|
38 |
-
with open(script_path, "r", encoding="utf-8") as f:
|
39 |
-
content = f.read()
|
40 |
-
|
41 |
-
# 检查脚本是否有main函数
|
42 |
-
has_main = re.search(r'def\s+main\s*\(\s*\)\s*:', content) is not None
|
43 |
-
|
44 |
if has_main:
|
45 |
# 如果有main函数,加载模块并调用main
|
46 |
-
|
|
|
|
|
|
|
47 |
|
48 |
-
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
54 |
-
module
|
55 |
-
|
56 |
-
|
57 |
-
|
|
|
|
|
|
|
|
|
|
|
58 |
else:
|
59 |
-
# 如果没有main
|
60 |
-
# 替换question变量
|
61 |
-
modified_content = re.sub(
|
62 |
-
r'question\s*=\s*["\'].*?["\']',
|
63 |
-
f'question = "{question}"',
|
64 |
-
content
|
65 |
-
)
|
66 |
-
|
67 |
-
# 执行修改后的脚本
|
68 |
exec(modified_content, {"__file__": str(script_path)})
|
69 |
|
70 |
except Exception as e:
|
|
|
26 |
print(f"错误: 脚本 {script_path} 不存在")
|
27 |
sys.exit(1)
|
28 |
|
29 |
+
# 读取脚本内容
|
30 |
+
with open(script_path, "r", encoding="utf-8") as f:
|
31 |
+
content = f.read()
|
32 |
+
|
33 |
+
# 检查脚本是否有main函数
|
34 |
+
has_main = re.search(r'def\s+main\s*\(\s*\)\s*:', content) is not None
|
35 |
+
|
36 |
+
# 尝试查找并替换question变量
|
37 |
+
# 匹配多种可能的question定义模式
|
38 |
+
patterns = [
|
39 |
+
r'question\s*=\s*["\'].*?["\']', # 简单字符串赋值
|
40 |
+
r'question\s*=\s*\(\s*["\'].*?["\']\s*\)', # 带括号的字符串赋值
|
41 |
+
r'question\s*=\s*f["\'].*?["\']', # f-string赋值
|
42 |
+
r'question\s*=\s*r["\'].*?["\']', # 原始字符串赋值
|
43 |
+
]
|
44 |
+
|
45 |
+
question_replaced = False
|
46 |
+
for pattern in patterns:
|
47 |
+
if re.search(pattern, content):
|
48 |
+
# 转义问题中的特殊字符
|
49 |
+
escaped_question = question.replace("\\", "\\\\").replace("\"", "\\\"").replace("'", "\\'")
|
50 |
+
# 替换问题
|
51 |
+
modified_content = re.sub(
|
52 |
+
pattern,
|
53 |
+
f'question = "{escaped_question}"',
|
54 |
+
content
|
55 |
+
)
|
56 |
+
question_replaced = True
|
57 |
+
break
|
58 |
+
|
59 |
+
if not question_replaced:
|
60 |
+
# 如果没有找到question变量,尝试在main函数前插入
|
61 |
+
if has_main:
|
62 |
+
# 在main函数前插入question变量
|
63 |
+
main_match = re.search(r'def\s+main\s*\(\s*\)\s*:', content)
|
64 |
+
if main_match:
|
65 |
+
insert_pos = main_match.start()
|
66 |
+
# 转义问题中的特殊字符
|
67 |
+
escaped_question = question.replace("\\", "\\\\").replace("\"", "\\\"").replace("'", "\\'")
|
68 |
+
modified_content = content[:insert_pos] + f'\n# 用户输入的问题\nquestion = "{escaped_question}"\n\n' + content[insert_pos:]
|
69 |
+
question_replaced = True
|
70 |
+
|
71 |
+
if not question_replaced:
|
72 |
+
# 如果仍然无法替换,尝试在文件末尾添加代码来使用用户的问题
|
73 |
+
modified_content = content + f'\n\n# 用户输入的问题\nquestion = "{question}"\n\n'
|
74 |
+
modified_content += '''
|
75 |
+
# 如果脚本中有construct_society函数,使用用户问题运行
|
76 |
+
if "construct_society" in globals():
|
77 |
+
try:
|
78 |
+
society = construct_society(question)
|
79 |
+
from utils import run_society
|
80 |
+
answer, chat_history, token_count = run_society(society)
|
81 |
+
print(f"Answer: {answer}")
|
82 |
+
except Exception as e:
|
83 |
+
print(f"运行时出错: {e}")
|
84 |
+
import traceback
|
85 |
+
traceback.print_exc()
|
86 |
+
'''
|
87 |
+
|
88 |
+
# 执行修改后的脚本
|
89 |
try:
|
90 |
# 将脚本目录添加到sys.path
|
91 |
script_dir = script_path.parent
|
92 |
if str(script_dir) not in sys.path:
|
93 |
sys.path.insert(0, str(script_dir))
|
94 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
95 |
if has_main:
|
96 |
# 如果有main函数,加载模块并调用main
|
97 |
+
# 创建临时文件
|
98 |
+
temp_script_path = script_path.with_name(f"temp_{script_path.name}")
|
99 |
+
with open(temp_script_path, "w", encoding="utf-8") as f:
|
100 |
+
f.write(modified_content)
|
101 |
|
102 |
+
try:
|
103 |
+
# 加载临时模块
|
104 |
+
module_name = f"temp_{script_path.stem}"
|
105 |
+
module = load_module_from_path(module_name, temp_script_path)
|
106 |
+
|
107 |
+
# 调用main函数
|
108 |
+
if hasattr(module, "main"):
|
109 |
+
module.main()
|
110 |
+
else:
|
111 |
+
print(f"错误: 脚本 {script_path} 中没有main函数")
|
112 |
+
sys.exit(1)
|
113 |
+
finally:
|
114 |
+
# 删除临时文件
|
115 |
+
if temp_script_path.exists():
|
116 |
+
temp_script_path.unlink()
|
117 |
else:
|
118 |
+
# 如果没有main函数,直接执行修改后的脚本
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
119 |
exec(modified_content, {"__file__": str(script_path)})
|
120 |
|
121 |
except Exception as e:
|