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725
frontend/streamlit_app_v2.py
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725
frontend/streamlit_app_v2.py
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# -*- coding: utf-8 -*-
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"""
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Streamlit 前端 v2 - 增强版多智能体实时协作可视化界面
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功能：
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1. Agent 协作流程图（桑基图）
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2. 实时状态监控面板
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3. 分屏对话展示
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4. 生成的文件预览
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5. 时间线视图
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"""
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import streamlit as st
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import os
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import sys
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from pathlib import Path
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from datetime import datetime
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import time
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from typing import Dict, Any, List
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import json
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# 添加项目根目录到路径
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sys.path.insert(0, str(Path(__file__).parent.parent))
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try:
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from autogen import AssistantAgent, UserProxyAgent, GroupChat, GroupChatManager
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AUTOGEN_AVAILABLE = True
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except ImportError:
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AUTOGEN_AVAILABLE = False
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from config.llm_config import (
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get_llm_config,
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PM_PROMPT,
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QA_PROMPT,
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DEV_PROMPT,
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ORCH_PROMPT
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)
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# 页面配置
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st.set_page_config(
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page_title="AutoGen SDLC 多智能体协作平台",
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page_icon="🤖",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# 自定义 CSS 样式
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st.markdown("""
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<style>
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/* Agent 消息样式 */
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.agent-message {
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padding: 1rem;
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border-radius: 0.5rem;
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margin-bottom: 1rem;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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}
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.pm-agent { background: linear-gradient(135deg, #e3f2fd 0%, #bbdefb 100%); border-left: 5px solid #2196f3; }
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.qa-agent { background: linear-gradient(135deg, #e8f5e9 0%, #c8e6c9 100%); border-left: 5px solid #4caf50; }
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.dev-agent { background: linear-gradient(135deg, #fff3e0 0%, #ffe0b2 100%); border-left: 5px solid #ff9800; }
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.orchestrator { background: linear-gradient(135deg, #f3e5f5 0%, #e1bee7 100%); border-left: 5px solid #9c27b0; }
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.system { background: linear-gradient(135deg, #fce4ec 0%, #f8bbd9 100%); border-left: 5px solid #e91e63; }
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.user { background: linear-gradient(135deg, #efebe9 0%, #d7ccc8 100%); border-left: 5px solid #795548; }
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/* 状态卡片 */
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.status-card {
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padding: 1.5rem;
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border-radius: 0.5rem;
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text-align: center;
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color: white;
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font-weight: bold;
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}
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.status-running { background: linear-gradient(135deg, #4caf50, #8bc34a); }
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.status-stopped { background: linear-gradient(135deg, #f44336, #e91e63); }
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.status-pending { background: linear-gradient(135deg, #ff9800, #ffc107); }
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/* Agent 状态指示器 */
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.agent-status-indicator {
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display: inline-block;
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width: 12px;
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height: 12px;
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border-radius: 50%;
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margin-right: 8px;
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animation: pulse 2s infinite;
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}
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@keyframes pulse {
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0% { opacity: 1; }
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50% { opacity: 0.5; }
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100% { opacity: 1; }
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}
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/* 文件卡片 */
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.file-card {
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padding: 1rem;
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border: 1px solid #ddd;
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border-radius: 0.5rem;
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margin-bottom: 0.5rem;
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background: #f9f9f9;
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}
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/* 时间线 */
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.timeline-item {
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padding: 1rem;
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border-left: 3px solid #2196f3;
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margin-left: 1rem;
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position: relative;
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}
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.timeline-item::before {
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content: '';
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position: absolute;
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left: -8px;
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top: 1rem;
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width: 13px;
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height: 13px;
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border-radius: 50%;
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background: #2196f3;
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}
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</style>
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""", unsafe_allow_html=True)
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# Agent 配置信息
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AGENT_CONFIG = {
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"PM_Agent": {
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"name": "产品经理",
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"avatar": "📋",
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"color": "#2196f3",
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"description": "需求分析与 SRS 生成",
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"icon": "📊"
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},
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"QA_Agent": {
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"name": "测试工程师",
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"avatar": "✅",
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"color": "#4caf50",
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"description": "测试用例设计与 TDD",
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"icon": "🧪"
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},
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"Dev_Agent": {
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"name": "开发工程师",
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"avatar": "💻",
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"color": "#ff9800",
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"description": "代码实现与修复",
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"icon": "⚙️"
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},
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"Orchestrator": {
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"name": "协调器",
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"avatar": "🎯",
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"color": "#9c27b0",
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"description": "流程调度与验证",
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"icon": "🎭"
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},
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"User_Proxy": {
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"name": "用户代理",
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"avatar": "👤",
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"color": "#795548",
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"description": "人机交互接口",
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"icon": "🔌"
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}
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}
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def init_session_state():
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"""初始化 session state"""
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "is_running" not in st.session_state:
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st.session_state.is_running = False
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if "workflow_result" not in st.session_state:
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st.session_state.workflow_result = None
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if "conversation_history" not in st.session_state:
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st.session_state.conversation_history = []
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if "current_step" not in st.session_state:
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st.session_state.current_step = 0
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if "agent_stats" not in st.session_state:
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st.session_state.agent_stats = {
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"PM_Agent": {"messages": 0, "last_active": None},
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"QA_Agent": {"messages": 0, "last_active": None},
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"Dev_Agent": {"messages": 0, "last_active": None},
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"Orchestrator": {"messages": 0, "last_active": None},
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"User_Proxy": {"messages": 0, "last_active": None}
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}
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if "generated_files" not in st.session_state:
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st.session_state.generated_files = []
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if "active_agent" not in st.session_state:
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st.session_state.active_agent = None
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def create_agents(api_key: str, base_url: str, model: str):
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"""创建所有 Agent"""
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llm_config = get_llm_config(model=model, api_key=api_key, base_url=base_url)
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pm_agent = AssistantAgent(
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name="PM_Agent",
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system_message=PM_PROMPT,
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llm_config=llm_config,
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description="资深软件产品经理",
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human_input_mode="NEVER"
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)
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qa_agent = AssistantAgent(
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name="QA_Agent",
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system_message=QA_PROMPT,
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llm_config=llm_config,
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description="资深测试工程师",
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human_input_mode="NEVER"
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)
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dev_agent = AssistantAgent(
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name="Dev_Agent",
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system_message=DEV_PROMPT,
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llm_config=llm_config,
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description="资深软件工程师",
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human_input_mode="NEVER"
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)
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orchestrator = AssistantAgent(
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name="Orchestrator",
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system_message=ORCH_PROMPT,
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llm_config=llm_config,
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description="多智能体协调器",
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human_input_mode="NEVER"
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)
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user_proxy = UserProxyAgent(
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name="User_Proxy",
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human_input_mode="NEVER", # 修复：Web 环境不支持 TERMINAL
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max_consecutive_auto_reply=0,
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code_execution_config={
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"work_dir": "workspace",
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"use_docker": False,
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},
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is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE")
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)
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return pm_agent, qa_agent, dev_agent, orchestrator, user_proxy, llm_config
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def display_agent_status_panel():
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"""显示 Agent 状态面板"""
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st.subheader("🎭 Agent 实时状态")
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cols = st.columns(5)
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agent_names = list(AGENT_CONFIG.keys())
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for i, (agent_name, config) in enumerate(AGENT_CONFIG.items()):
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with cols[i]:
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stats = st.session_state.agent_stats.get(agent_name, {})
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msg_count = stats.get("messages", 0)
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last_active = stats.get("last_active")
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is_active = st.session_state.active_agent == agent_name
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status_color = config["color"]
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if is_active:
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status_html = f'<span class="agent-status-indicator" style="background: {status_color}; animation: pulse 1s infinite;"></span>'
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else:
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status_html = f'<span style="display:inline-block;width:12px;height:12px;border-radius:50%;background:{status_color};opacity:0.3;"></span>'
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st.markdown(f"""
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<div style="text-align:center;padding:1rem;border:2px {'solid' if is_active else 'dashed'} {status_color};border-radius:0.5rem;">
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<div style="font-size:2rem;">{config['avatar']}</div>
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<div style="font-weight:bold;color:{status_color};">{config['name']}</div>
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<div style="font-size:0.8rem;color:#666;">消息：{msg_count}</div>
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<div style="font-size:0.7rem;color:#999;">{status_html}{'工作中' if is_active else '等待中'}</div>
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</div>
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""", unsafe_allow_html=True)
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def display_workflow_diagram():
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"""显示工作流程图"""
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st.subheader("🔄 工作流程图")
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# 使用 Mermaid 绘制流程图
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mermaid_code = """
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```mermaid
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graph LR
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A[👤 用户需求] --> B[📋 PM Agent]
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B --> C[📄 SRS 文档]
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C --> D[✅ QA Agent]
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D --> E[🧪 测试用例]
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E --> F[💻 Dev Agent]
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F --> G[💾 源代码]
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G --> H[🔧 自动测试]
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H -->|失败 | F
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H -->|通过 | I[🎯 Orchestrator]
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I --> J[✅ 最终报告]
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style B fill:#e3f2fd,stroke:#2196f3,stroke-width:3px
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style D fill:#e8f5e9,stroke:#4caf50,stroke-width:3px
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style F fill:#fff3e0,stroke:#ff9800,stroke-width:3px
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style I fill:#f3e5f5,stroke:#9c27b0,stroke-width:3px
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```
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"""
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st.markdown(mermaid_code)
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def display_message(agent_name: str, message: str, timestamp: str, index: int):
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"""显示单条消息（增强版）"""
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config = AGENT_CONFIG.get(agent_name, {"name": agent_name, "avatar": "🤖", "color": "#999"})
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# 折叠长消息
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if len(message) > 500:
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with st.expander(f"{config['avatar']} {config['name']} - {timestamp[:16]}"):
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st.markdown(message)
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else:
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with st.chat_message(name=agent_name.lower().replace("_", ""), avatar=config['avatar']):
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st.markdown(f"**{config['avatar']} {config['name']}** *({timestamp[:16]})*")
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st.markdown(message)
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def display_timeline():
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"""显示时间线视图"""
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st.subheader("⏱️ 执行时间线")
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if not st.session_state.messages:
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st.info("暂无执行记录")
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return
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# 按时间分组显示关键事件
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timeline_data = []
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for msg in st.session_state.messages:
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agent = msg.get("agent_name", "Unknown")
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timestamp = msg.get("timestamp", "")[:19].replace('T', ' ')
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message = msg.get("message", "")[:100]
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if agent in AGENT_CONFIG:
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timeline_data.append({
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"time": timestamp,
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"agent": agent,
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"message": message,
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"icon": AGENT_CONFIG[agent]["avatar"]
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})
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# 倒序显示（最新的在前）
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for item in reversed(timeline_data[-10:]): # 只显示最近 10 条
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with st.container():
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st.markdown(f"""
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<div class="timeline-item">
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<strong>{item['icon']} {item['time']}</strong><br>
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<span style="color:#666;">{AGENT_CONFIG.get(item['agent'], {}).get('name', item['agent'])}</span><br>
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{item['message']}...
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</div>
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""", unsafe_allow_html=True)
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def display_generated_files():
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"""显示生成的文件"""
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st.subheader("📁 生成的文件")
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workspace_dir = Path("workspace")
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if not workspace_dir.exists():
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st.info("工作目录为空")
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return
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files = list(workspace_dir.glob("*"))
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if not files:
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st.info("暂无生成的文件")
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return
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for file_path in files:
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if file_path.is_file():
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file_size = file_path.stat().st_size
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file_type = file_path.suffix
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icon_map = {
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".py": "🐍",
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".md": "📝",
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".txt": "📄",
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".json": "📊"
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}
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icon = icon_map.get(file_type, "📎")
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with st.container():
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st.markdown(f"""
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<div class="file-card">
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<div style="display:flex;justify-content:space-between;align-items:center;">
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<div>
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<span style="font-size:1.5rem;">{icon}</span>
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<strong>{file_path.name}</strong>
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<span style="color:#666;font-size:0.9rem;margin-left:1rem;">
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{file_size:,} bytes
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</span>
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</div>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# 文件内容预览
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if st.button(f"👁️ 预览 {file_path.name}", key=f"preview_{file_path.name}"):
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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st.code(content[:2000] + ("..." if len(content) > 2000 else ""))
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except Exception as e:
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st.error(f"读取失败：{e}")
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def display_chat_interface():
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"""显示聊天界面"""
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st.subheader("💬 Agent 对话实录")
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if not st.session_state.messages:
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st.info("👈 暂无对话，请在下方输入需求并启动工作流")
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else:
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# 使用容器显示消息
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chat_container = st.container()
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with chat_container:
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for idx, msg in enumerate(st.session_state.messages):
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display_message(
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agent_name=msg.get("agent_name", "Unknown"),
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message=msg.get("message", ""),
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timestamp=msg.get("timestamp", ""),
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index=idx
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)
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def export_conversation(messages: List[Dict]) -> str:
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"""导出对话为 Markdown"""
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md_content = "# AutoGen SDLC 对话历史\n\n"
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md_content += f"**导出时间**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
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md_content += "---\n\n"
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for msg in messages:
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timestamp = msg.get("timestamp", "")[:19].replace('T', ' ')
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agent = msg.get("agent_name", "Unknown")
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content = msg.get("message", "")
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config = AGENT_CONFIG.get(agent, {"avatar": "🤖", "name": agent})
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md_content += f"### {config['avatar']} [{timestamp}] {config['name']}\n\n"
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md_content += f"{content}\n\n"
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md_content += "---\n\n"
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return md_content
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||||
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def main():
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"""主应用"""
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init_session_state()
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|
||||
# ===== 顶部标题区 =====
|
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st.title("🤖 AutoGen SDLC 多智能体协作平台")
|
||||
st.markdown("**基于 AutoGen + Qwen3.5-flash 的端到端软件交付系统 · 实时可视化 Agent 协作**")
|
||||
|
||||
# ===== 侧边栏 - 配置区域 =====
|
||||
with st.sidebar:
|
||||
st.title("⚙️ 控制中心")
|
||||
|
||||
# API 配置
|
||||
st.subheader("🔑 模型配置")
|
||||
api_key = st.text_input(
|
||||
"API Key",
|
||||
type="password",
|
||||
value=os.getenv("DASHSCOPE_API_KEY", ""),
|
||||
help="阿里云 DashScope API Key"
|
||||
)
|
||||
|
||||
base_url = st.text_input(
|
||||
"Base URL",
|
||||
value="https://dashscope.aliyuncs.com/compatible-mode/v1",
|
||||
help="API Base URL"
|
||||
)
|
||||
|
||||
model = st.selectbox(
|
||||
"模型选择",
|
||||
options=["qwen3.5-flash", "qwen-max", "qwen-plus", "qwen-turbo"],
|
||||
index=0,
|
||||
help="选择使用的 Qwen 模型"
|
||||
)
|
||||
|
||||
# Agent 参数
|
||||
st.subheader("🎛️ Agent 参数")
|
||||
max_round = st.slider(
|
||||
"最大对话轮数",
|
||||
min_value=5,
|
||||
max_value=50,
|
||||
value=20,
|
||||
step=1
|
||||
)
|
||||
|
||||
temperature = st.slider(
|
||||
"温度参数",
|
||||
min_value=0.0,
|
||||
max_value=1.0,
|
||||
value=0.7,
|
||||
step=0.1
|
||||
)
|
||||
|
||||
st.divider()
|
||||
|
||||
# 控制按钮
|
||||
st.subheader("🎮 流程控制")
|
||||
col1, col2 = st.columns(2)
|
||||
|
||||
with col1:
|
||||
start_btn = st.button("▶️ 启动", use_container_width=True, type="primary")
|
||||
with col2:
|
||||
stop_btn = st.button("⏸️ 暂停", use_container_width=True)
|
||||
|
||||
st.divider()
|
||||
|
||||
# 导出选项
|
||||
st.subheader("💾 数据导出")
|
||||
if st.button("📄 导出 JSON", use_container_width=True):
|
||||
if st.session_state.messages:
|
||||
json_str = json.dumps(st.session_state.messages, ensure_ascii=False, indent=2)
|
||||
st.download_button(
|
||||
label="下载 JSON",
|
||||
data=json_str,
|
||||
file_name=f"conversation_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
|
||||
mime="application/json"
|
||||
)
|
||||
|
||||
if st.button("📝 导出 Markdown", use_container_width=True):
|
||||
if st.session_state.messages:
|
||||
md_content = export_conversation(st.session_state.messages)
|
||||
st.download_button(
|
||||
label="下载 Markdown",
|
||||
data=md_content,
|
||||
file_name=f"conversation_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md",
|
||||
mime="text/markdown"
|
||||
)
|
||||
|
||||
# ===== 主区域 - 三栏布局 =====
|
||||
# 第一行：状态指标
|
||||
status_col1, status_col2, status_col3, status_col4 = st.columns(4)
|
||||
|
||||
with status_col1:
|
||||
total_msgs = len(st.session_state.messages)
|
||||
st.metric("💬 总消息数", total_msgs)
|
||||
|
||||
with status_col2:
|
||||
status = "🟢 运行中" if st.session_state.is_running else "🔴 已停止"
|
||||
status_class = "running" if st.session_state.is_running else "stopped"
|
||||
st.markdown(f"""
|
||||
<div class="status-card status-{status_class}">
|
||||
{status}
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
with status_col3:
|
||||
result_status = "✅ 成功" if st.session_state.workflow_result and st.session_state.workflow_result.get("success") else "⏳ 未开始"
|
||||
st.metric("📊 工作流状态", result_status)
|
||||
|
||||
with status_col4:
|
||||
files_count = len(list(Path("workspace").glob("*"))) if Path("workspace").exists() else 0
|
||||
st.metric("📁 生成文件数", files_count)
|
||||
|
||||
st.divider()
|
||||
|
||||
# 第二行：左侧 - Agent 状态 + 流程图，右侧 - 时间线
|
||||
left_col, right_col = st.columns([2, 1])
|
||||
|
||||
with left_col:
|
||||
display_agent_status_panel()
|
||||
st.divider()
|
||||
display_workflow_diagram()
|
||||
|
||||
with right_col:
|
||||
display_timeline()
|
||||
|
||||
st.divider()
|
||||
|
||||
# 第三行：聊天界面
|
||||
display_chat_interface()
|
||||
|
||||
# ===== 底部 - 用户需求输入 =====
|
||||
st.divider()
|
||||
|
||||
# 用户输入
|
||||
user_input = st.chat_input("💡 请输入您的软件需求，例如：我需要一个电池健康状态预测 API...")
|
||||
|
||||
if user_input:
|
||||
# 添加用户消息
|
||||
user_msg = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"agent_name": "User_Proxy",
|
||||
"role": "user",
|
||||
"message": user_input
|
||||
}
|
||||
st.session_state.messages.append(user_msg)
|
||||
st.session_state.conversation_history.append(user_msg)
|
||||
|
||||
# 更新统计
|
||||
st.session_state.agent_stats["User_Proxy"]["messages"] += 1
|
||||
st.session_state.agent_stats["User_Proxy"]["last_active"] = datetime.now().isoformat()
|
||||
|
||||
# 刷新显示
|
||||
st.rerun()
|
||||
|
||||
# ===== 工作流执行逻辑 =====
|
||||
if start_btn:
|
||||
if not api_key:
|
||||
st.error("请先设置 API Key！")
|
||||
st.stop()
|
||||
|
||||
if not AUTOGEN_AVAILABLE:
|
||||
st.error("请先安装 AutoGen: pip install pyautogen")
|
||||
st.stop()
|
||||
|
||||
# 获取最后一条用户消息
|
||||
user_messages = [m for m in st.session_state.messages if m.get("role") == "user"]
|
||||
if not user_messages:
|
||||
st.warning("请先输入需求！")
|
||||
st.stop()
|
||||
|
||||
latest_requirement = user_messages[-1]["message"]
|
||||
|
||||
# 设置运行状态
|
||||
st.session_state.is_running = True
|
||||
st.session_state.current_step = 0
|
||||
|
||||
# 创建进度占位符
|
||||
progress_placeholder = st.empty()
|
||||
|
||||
with progress_placeholder:
|
||||
st.info("🚀 正在启动 SDLC 工作流，请稍候...")
|
||||
|
||||
try:
|
||||
# 创建 Agent
|
||||
pm_agent, qa_agent, dev_agent, orchestrator, user_proxy, llm_config = create_agents(
|
||||
api_key=api_key,
|
||||
base_url=base_url,
|
||||
model=model
|
||||
)
|
||||
|
||||
# 创建 GroupChat
|
||||
groupchat = GroupChat(
|
||||
agents=[pm_agent, qa_agent, dev_agent, orchestrator, user_proxy],
|
||||
messages=[],
|
||||
max_round=max_round,
|
||||
speaker_selection_method="round_robin"
|
||||
)
|
||||
|
||||
manager = GroupChatManager(groupchat=groupchat, llm_config=llm_config)
|
||||
|
||||
# 构建初始消息
|
||||
initial_message = f"""
|
||||
请启动完整的 SDLC 流程：
|
||||
|
||||
【用户需求】
|
||||
{latest_requirement}
|
||||
|
||||
【工作流程】
|
||||
1. PM_Agent → 生成 SRS
|
||||
2. QA_Agent → 生成测试用例
|
||||
3. Dev_Agent → 编写代码
|
||||
4. User_Proxy → 执行测试
|
||||
5. Orchestrator → 汇总报告
|
||||
|
||||
开始协作！
|
||||
"""
|
||||
|
||||
# 记录第一条消息
|
||||
first_msg = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"agent_name": "Orchestrator",
|
||||
"role": "assistant",
|
||||
"message": f"🎯 启动 SDLC 工作流，需求：{latest_requirement[:100]}..."
|
||||
}
|
||||
st.session_state.messages.append(first_msg)
|
||||
|
||||
# 更新统计
|
||||
st.session_state.agent_stats["Orchestrator"]["messages"] += 1
|
||||
st.session_state.active_agent = "Orchestrator"
|
||||
|
||||
# 执行对话
|
||||
chat_result = user_proxy.initiate_chat(
|
||||
manager,
|
||||
message=initial_message,
|
||||
max_turns=max_round
|
||||
)
|
||||
|
||||
# 记录所有对话
|
||||
for msg in groupchat.messages:
|
||||
chat_msg = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"agent_name": msg.get("name", "Unknown"),
|
||||
"role": msg.get("role", "assistant"),
|
||||
"message": msg.get("content", "")
|
||||
}
|
||||
|
||||
# 避免重复添加
|
||||
if chat_msg not in st.session_state.messages:
|
||||
st.session_state.messages.append(chat_msg)
|
||||
|
||||
# 更新统计
|
||||
agent_name = msg.get("name", "Unknown")
|
||||
if agent_name in st.session_state.agent_stats:
|
||||
st.session_state.agent_stats[agent_name]["messages"] += 1
|
||||
st.session_state.agent_stats[agent_name]["last_active"] = datetime.now().isoformat()
|
||||
|
||||
# 扫描生成的文件
|
||||
if Path("workspace").exists():
|
||||
files = list(Path("workspace").glob("*"))
|
||||
st.session_state.generated_files = [str(f) for f in files if f.is_file()]
|
||||
|
||||
# 更新状态
|
||||
st.session_state.workflow_result = {
|
||||
"success": True,
|
||||
"summary": chat_result.summary if hasattr(chat_result, 'summary') else "完成"
|
||||
}
|
||||
st.session_state.current_step = 5
|
||||
st.session_state.is_running = False
|
||||
st.session_state.active_agent = None
|
||||
|
||||
progress_placeholder.success("✅ SDLC 工作流完成！")
|
||||
|
||||
# 刷新显示
|
||||
st.rerun()
|
||||
|
||||
except Exception as e:
|
||||
st.session_state.is_running = False
|
||||
st.session_state.active_agent = None
|
||||
st.error(f"❌ 错误：{str(e)}")
|
||||
st.session_state.workflow_result = {"success": False, "error": str(e)}
|
||||
|
||||
if stop_btn:
|
||||
st.session_state.is_running = False
|
||||
st.session_state.active_agent = None
|
||||
st.info("⏸️ 工作流已暂停")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user