autogen/frontend/app.py

# -*- coding: utf-8 -*-
"""
Streamlit 实时 Agent 协作平台
功能：
1. 实时展示每个 Agent 的状态和动作
2. 自动保存生成的文件到 workspace/
3. 简单稳定的代码结构
"""
import streamlit as st
import os
from pathlib import Path
from datetime import datetime
import time

try:
    from autogen import AssistantAgent, UserProxyAgent, GroupChat, GroupChatManager
    AUTOGEN_AVAILABLE = True
except ImportError:
    AUTOGEN_AVAILABLE = False

# 添加项目根目录到路径
import sys
sys.path.insert(0, str(Path(__file__).parent.parent))

from config.llm_config import get_llm_config, PM_PROMPT, QA_PROMPT, DEV_PROMPT, ORCH_PROMPT

# 页面配置
st.set_page_config(page_title="多 Agent 协作平台", page_icon="🤖", layout="wide")

# Agent 配置
AGENTS = {
    "PM_Agent": {"name": "产品经理", "avatar": "📋", "color": "blue"},
    "QA_Agent": {"name": "测试工程师", "avatar": "✅", "color": "green"},
    "Dev_Agent": {"name": "开发工程师", "avatar": "💻", "color": "orange"},
    "Orchestrator": {"name": "协调器", "avatar": "🎯", "color": "purple"},
    "User_Proxy": {"name": "用户代理", "avatar": "👤", "color": "gray"}
}

def init_state():
    """初始化 session state"""
    if "messages" not in st.session_state:
        st.session_state.messages = []
    if "running" not in st.session_state:
        st.session_state.running = False
    if "current_agent" not in st.session_state:
        st.session_state.current_agent = None
    if "agent_counts" not in st.session_state:
        st.session_state.agent_counts = {k: 0 for k in AGENTS}

def add_message(agent, content, task=""):
    """添加消息"""
    msg = {
        "agent": agent,
        "content": content,
        "task": task,
        "time": datetime.now().strftime("%H:%M:%S")
    }
    st.session_state.messages.append(msg)
    st.session_state.agent_counts[agent] = st.session_state.agent_counts.get(agent, 0) + 1
    st.session_state.current_agent = agent

def show_agent_status():
    """显示 Agent 状态"""
    cols = st.columns(len(AGENTS))
    for i, (agent_key, info) in enumerate(AGENTS.items()):
        with cols[i]:
            is_active = st.session_state.current_agent == agent_key
            count = st.session_state.agent_counts.get(agent_key, 0)
            
            border_color = info["color"]
            bg_color = "#e8f5e9" if is_active else "white"
            
            st.markdown(f"""
            <div style='
                padding: 15px;
                border-radius: 10px;
                border: 3px {"solid" if is_active else "dashed"} {border_color};
                background: {bg_color};
                text-align: center;
            '>
                <div style='font-size: 2.5rem;'>{info["avatar"]}</div>
                <div style='font-weight: bold; margin: 5px 0;'>{info["name"]}</div>
                <div style='font-size: 0.8rem; color: #666;'>
                    {"🟢 发言中" if is_active else "⚪ 等待中"}
                </div>
                <div style='font-size: 0.8rem; color: #999; margin-top: 5px;'>
                    💬 {count} 条消息
                </div>
            </div>
            """, unsafe_allow_html=True)

def show_chat():
    """显示对话流"""
    st.subheader("💬 Agent 对话流")
    
    if not st.session_state.messages:
        st.info("👈 暂无对话，请在下方输入需求并启动")
        return
    
    for msg in st.session_state.messages:
        agent = msg["agent"]
        info = AGENTS.get(agent, {"name": "未知", "avatar": "🤖", "color": "gray"})
        
        with st.chat_message(agent.lower(), avatar=info["avatar"]):
            st.markdown(f"**{info['name']}** *{msg['time']}* - {msg['task']}")
            st.markdown(msg["content"][:800] + ("..." if len(msg["content"]) > 800 else ""))

def extract_code(content):
    """从 Markdown 代码块中提取纯代码"""
    # 检查是否有 ```python 标记
    if "```python" in content:
        # 提取 ```python 和 ``` 之间的内容
        parts = content.split("```python")
        if len(parts) > 1:
            code = parts[1].split("```")[0].strip()
            return code
    elif "```" in content:
        # 通用的 ``` 标记
        parts = content.split("```")
        if len(parts) > 1:
            code = parts[1].strip()
            return code
    # 没有标记，返回原内容
    return content

def save_files():
    """保存生成的文件到 workspace/"""
    workspace = Path("workspace")
    workspace.mkdir(exist_ok=True)
    
    files = []
    
    # 遍历消息，提取并保存文件
    for msg in st.session_state.messages:
        agent = msg["agent"]
        content = msg["content"]
        
        # PM Agent 生成 SRS
        if agent == "PM_Agent" and ("需求" in content or "SRS" in content):
            file = workspace / "SRS.md"
            with open(file, "w", encoding="utf-8") as f:
                f.write(f"# 软件需求规格说明书\n\n生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n")
                f.write(content)
            files.append(str(file))
        
        # QA Agent 生成测试
        if agent == "QA_Agent" and ("test" in content.lower() or "测试" in content or "def test_" in content):
            file = workspace / "test_sample.py"
            # 提取纯代码
            code = extract_code(content)
            with open(file, "w", encoding="utf-8") as f:
                f.write(f"# 测试用例\n# 生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n")
                f.write(code)
            files.append(str(file))
        
        # Dev Agent 生成代码
        if agent == "Dev_Agent" and ("def " in content or "class " in content):
            file = workspace / "src_sample.py"
            # 提取纯代码
            code = extract_code(content)
            with open(file, "w", encoding="utf-8") as f:
                f.write(f"# 源代码\n# 生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n")
                f.write(code)
            files.append(str(file))
    
    return files

def main():
    st.title("🤖 多 Agent 协作平台")
    st.markdown("**实时展示 Agent 状态 · 自动生成文件**")
    
    init_state()
    
    # 侧边栏
    with st.sidebar:
        st.title("⚙️ 配置")
        
        api_key = st.text_input("API Key", type="password", value=os.getenv("DASHSCOPE_API_KEY", ""))
        model = st.selectbox("模型", ["qwen3.5-flash", "qwen-max", "qwen-plus"], index=0)
        max_round = st.slider("最大轮数", 5, 300, 15)
        
        st.divider()
        
        if st.button("▶️ 启动工作流", type="primary", use_container_width=True):
            if not api_key:
                st.error("请先设置 API Key")
            elif not AUTOGEN_AVAILABLE:
                st.error("请先安装 AutoGen")
            else:
                run_workflow(api_key, model, max_round)
        
        st.divider()
        
        if st.button("🗑️ 清空对话", use_container_width=True):
            st.session_state.messages = []
            st.session_state.current_agent = None
            st.session_state.agent_counts = {k: 0 for k in AGENTS}
            st.rerun()
        
        # 显示生成的文件
        st.divider()
        st.subheader("📁 生成的文件")
        workspace = Path("workspace")
        if workspace.exists():
            for file in workspace.glob("*"):
                if file.is_file():
                    st.caption(f"📄 {file.name}")
    
    # 主界面
    show_agent_status()
    st.divider()
    show_chat()
    
    # 输入框
    st.divider()
    if user_input := st.chat_input("输入需求..."):
        add_message("User_Proxy", user_input, "提出需求")
        st.rerun()

def run_workflow(api_key, model, max_round):
    """运行工作流"""
    # 保存现有消息（包括用户需求）
    existing_messages = list(st.session_state.messages)
    
    # 只清空计数，不清空消息
    st.session_state.running = True
    st.session_state.agent_counts = {k: 0 for k in AGENTS}
    
    progress = st.empty()
    progress.info("🚀 启动工作流...")
    
    try:
        # 获取需求 - 在清空前已经保存了
        user_msgs = [m for m in existing_messages if m["agent"] == "User_Proxy"]
        requirement = user_msgs[-1]["content"] if user_msgs else "开发一个电池健康预测 API"
        
        # 显示需求
        st.info(f"📋 用户需求：{requirement}")
        
        # 创建 Agent
        llm_config = get_llm_config(model=model, api_key=api_key)
        
        pm = AssistantAgent("PM_Agent", system_message=PM_PROMPT, llm_config=llm_config, human_input_mode="NEVER")
        qa = AssistantAgent("QA_Agent", system_message=QA_PROMPT, llm_config=llm_config, human_input_mode="NEVER")
        dev = AssistantAgent("Dev_Agent", system_message=DEV_PROMPT, llm_config=llm_config, human_input_mode="NEVER")
        orch = AssistantAgent("Orchestrator", system_message=ORCH_PROMPT, llm_config=llm_config, human_input_mode="NEVER")
        user = UserProxyAgent("User_Proxy", human_input_mode="NEVER", max_consecutive_auto_reply=0, 
                             code_execution_config={"work_dir": "workspace", "use_docker": False})
        
        # 创建 GroupChat
        groupchat = GroupChat(
            agents=[pm, qa, dev, orch, user],
            messages=[],
            max_round=max_round,
            speaker_selection_method="round_robin"
        )
        manager = GroupChatManager(groupchat=groupchat, llm_config=llm_config)
        
        # 初始消息
        initial_msg = f"""请启动完整的 SDLC 流程：

【用户需求】{requirement}

【流程】
1. PM_Agent → SRS 文档
2. QA_Agent → 测试用例
3. Dev_Agent → 编写代码
4. User_Proxy → 执行测试
5. Orchestrator → 汇总

开始协作！"""
        
        # 执行对话
        with st.spinner("💬 Agent 们正在协作中..."):
            chat_result = user.initiate_chat(manager, message=initial_msg, max_turns=max_round)
        
        # 记录所有对话
        task_map = {
            "PM_Agent": "需求分析",
            "QA_Agent": "测试设计", 
            "Dev_Agent": "代码实现",
            "Orchestrator": "流程协调",
            "User_Proxy": "测试执行"
        }
        
        for msg in groupchat.messages:
            agent = msg.get("name", "Unknown")
            content = msg.get("content", "")
            task = task_map.get(agent, "工作中")
            add_message(agent, content, task)
        
        # 保存文件
        progress.info("💾 正在保存文件...")
        files = save_files()
        
        if files:
            progress.success(f"✅ 完成！已保存 {len(files)} 个文件到 workspace/")
        else:
            progress.success("✅ 工作流完成！")
        
        st.session_state.running = False
        st.rerun()
        
    except Exception as e:
        st.session_state.running = False
        progress.error(f"❌ 错误：{e}")
        import traceback
        st.error(traceback.format_exc())

if __name__ == "__main__":
    main()