438 lines
17 KiB
Python
438 lines
17 KiB
Python
# -*- 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. Agent 自主决定对话对象（动态发言顺序）
|
||
4. 实时更新对话流和 Agent 状态
|
||
"""
|
||
import streamlit as st
|
||
import os
|
||
from pathlib import Path
|
||
from datetime import datetime
|
||
import time
|
||
import re
|
||
|
||
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
|
||
from utils.callback_handler import get_callback_handler
|
||
|
||
# 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", "desc": "需求分析与 SRS 生成"},
|
||
"QA_Agent": {"name": "测试工程师", "avatar": "✅", "color": "green", "desc": "测试用例设计"},
|
||
"Dev_Agent": {"name": "开发工程师", "avatar": "💻", "color": "orange", "desc": "代码实现"},
|
||
"Orchestrator": {"name": "协调器", "avatar": "🎯", "color": "purple", "desc": "流程协调与验证"},
|
||
"User_Proxy": {"name": "用户代理", "avatar": "👤", "color": "gray", "desc": "测试执行"}
|
||
}
|
||
|
||
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}
|
||
if "agent_status" not in st.session_state:
|
||
st.session_state.agent_status = {k: "⚪ 等待中" for k in AGENTS}
|
||
if "current_task" not in st.session_state:
|
||
st.session_state.current_task = {k: "" for k in AGENTS}
|
||
if "saved_files" not in st.session_state:
|
||
st.session_state.saved_files = []
|
||
if "conversation_history" not in st.session_state:
|
||
st.session_state.conversation_history = []
|
||
|
||
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
|
||
|
||
# 更新 Agent 状态
|
||
for ag in AGENTS:
|
||
if ag == agent:
|
||
st.session_state.agent_status[ag] = "🟢 发言中"
|
||
st.session_state.current_task[ag] = task
|
||
else:
|
||
st.session_state.agent_status[ag] = "⚪ 等待中"
|
||
|
||
# 添加到对话历史（用于展示完整的对话流）
|
||
st.session_state.conversation_history.append(msg)
|
||
|
||
def show_agent_status():
|
||
"""显示 Agent 状态"""
|
||
st.subheader("🎯 Agent 实时状态")
|
||
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)
|
||
status = st.session_state.agent_status.get(agent_key, "⚪ 等待中")
|
||
current_task = st.session_state.current_task.get(agent_key, "")
|
||
|
||
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;
|
||
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
||
'>
|
||
<div style='font-size: 2.5rem;'>{info["avatar"]}</div>
|
||
<div style='font-weight: bold; margin: 5px 0; font-size: 1.1rem;'>{info["name"]}</div>
|
||
<div style='font-size: 0.75rem; color: #666; margin-bottom: 5px;'>{info["desc"]}</div>
|
||
<div style='font-size: 0.85rem; color: #2e7d32; margin: 5px 0;'>
|
||
{status}
|
||
</div>
|
||
<div style='font-size: 0.75rem; color: #999; margin-top: 5px;'>
|
||
💬 {count} 条消息
|
||
</div>
|
||
{f"<div style='font-size: 0.7rem; color: #1976d2; margin-top: 5px; font-style: italic;'>📋 {current_task}</div>" if current_task else ""}
|
||
</div>
|
||
""", unsafe_allow_html=True)
|
||
|
||
def show_chat():
|
||
"""显示对话流"""
|
||
st.subheader("💬 Agent 对话流")
|
||
|
||
if not st.session_state.conversation_history:
|
||
st.info("👈 暂无对话，请在下方输入需求并启动")
|
||
return
|
||
|
||
# 使用容器展示对话，支持滚动
|
||
chat_container = st.container()
|
||
|
||
with chat_container:
|
||
for i, msg in enumerate(st.session_state.conversation_history):
|
||
agent = msg["agent"]
|
||
info = AGENTS.get(agent, {"name": "未知", "avatar": "🤖", "color": "gray"})
|
||
|
||
# 创建对话气泡
|
||
with st.chat_message(agent.lower(), avatar=info["avatar"]):
|
||
# 显示 Agent 名称、时间和任务
|
||
task_info = f"- {msg['task']}" if msg['task'] else ""
|
||
st.markdown(f"**{info['name']}** *{msg['time']}* {task_info}")
|
||
|
||
# 处理长内容，提供折叠选项
|
||
content = msg["content"]
|
||
if len(content) > 1000:
|
||
# 短预览 + 展开详情
|
||
preview = content[:800] + "..."
|
||
st.markdown(preview)
|
||
with st.expander("查看完整内容"):
|
||
st.markdown(content)
|
||
else:
|
||
st.markdown(content)
|
||
|
||
# 如果是代码内容，提供语法高亮
|
||
if "```" in content:
|
||
code_blocks = re.findall(r'```(\w+)?\n(.*?)```', content, re.DOTALL)
|
||
for lang, code in code_blocks:
|
||
language = lang if lang else "python"
|
||
st.code(code, language=language)
|
||
|
||
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 is_code_complete(code):
|
||
"""检查代码是否完整"""
|
||
if not code or not code.strip():
|
||
return False
|
||
|
||
# 检查是否有未闭合的括号
|
||
if code.count('(') != code.count(')'):
|
||
print(f"⚠️ 括号不匹配：( {code.count('(')} vs ) {code.count(')')}")
|
||
return False
|
||
if code.count('[') != code.count(']'):
|
||
print(f"⚠️ 方括号不匹配：[ {code.count('[')} vs ] {code.count(']')}")
|
||
return False
|
||
if code.count('{') != code.count('}'):
|
||
print(f"⚠️ 花括号不匹配：{{ {code.count('{')} vs }} {code.count('}')}")
|
||
return False
|
||
|
||
# 检查是否以完整的方式结束（不是突然截断）
|
||
lines = code.strip().split('\n')
|
||
if lines:
|
||
last_line = lines[-1].rstrip()
|
||
# 如果最后一行以这些符号结尾，说明可能被截断了
|
||
if last_line.endswith(':') or last_line.endswith('\\') or last_line.endswith('(') or last_line.endswith('['):
|
||
print(f"⚠️ 代码可能截断：最后一行是 '{last_line}'")
|
||
return False
|
||
|
||
# 尝试简单的语法检查
|
||
try:
|
||
compile(code, '<string>', 'exec')
|
||
except SyntaxError as e:
|
||
print(f"⚠️ 语法错误：{e}")
|
||
return False
|
||
|
||
return True
|
||
|
||
def save_files():
|
||
"""保存生成的文件到 workspace/"""
|
||
workspace = Path("workspace")
|
||
workspace.mkdir(exist_ok=True)
|
||
|
||
files = []
|
||
|
||
# 1. 保存 PM Agent 的 SRS 文档
|
||
for msg in st.session_state.messages:
|
||
if msg["agent"] == "PM_Agent" and ("需求" in msg["content"] or "SRS" in msg["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(msg["content"])
|
||
files.append(str(file))
|
||
break # 只保存第一个
|
||
|
||
# 2. 保存 QA Agent 的测试代码
|
||
for msg in st.session_state.messages:
|
||
if msg["agent"] == "QA_Agent" and ("test" in msg["content"].lower() or "测试" in msg["content"] or "def test_" in msg["content"]):
|
||
file = workspace / "test_sample.py"
|
||
code = extract_code(msg["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))
|
||
break # 只保存第一个
|
||
|
||
# 3. 保存 Dev Agent 的代码 - 收集所有消息合并处理
|
||
dev_messages = [msg for msg in st.session_state.messages if msg["agent"] == "Dev_Agent"]
|
||
|
||
if dev_messages:
|
||
# 合并所有 Dev Agent 的消息内容
|
||
all_dev_content = "\n\n".join([msg["content"] for msg in dev_messages])
|
||
|
||
# 尝试提取带文件名的代码块
|
||
import re
|
||
code_blocks = re.findall(r'```python\s*\n#(?:\s*File:|\s*filename:)?\s*([^\n]+)\n(.*?)```', all_dev_content, re.DOTALL)
|
||
|
||
if code_blocks:
|
||
# 保存多个文件
|
||
for filename, code_content in code_blocks:
|
||
filename = filename.strip()
|
||
file_path = workspace / filename
|
||
code = extract_code(f"```python\n{code_content}```")
|
||
|
||
# 检查完整性
|
||
print(f"\n🔍 检查文件 {filename}...")
|
||
if not is_code_complete(code):
|
||
print(f"⚠️ 警告：{filename} 代码可能不完整，但仍会保存")
|
||
else:
|
||
print(f"✅ {filename} 代码完整")
|
||
|
||
with open(file_path, "w", encoding="utf-8") as f:
|
||
f.write(f"# 生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n{code}")
|
||
files.append(str(file_path))
|
||
else:
|
||
# 没有文件名标记，合并所有代码保存为 src_sample.py
|
||
all_code = "\n\n".join([extract_code(msg["content"]) for msg in dev_messages])
|
||
file = workspace / "src_sample.py"
|
||
|
||
# 检查完整性
|
||
print(f"\n🔍 检查文件 src_sample.py...")
|
||
if not is_code_complete(all_code):
|
||
print(f"⚠️ 警告：src_sample.py 代码可能不完整，但仍会保存")
|
||
else:
|
||
print(f"✅ src_sample.py 代码完整")
|
||
|
||
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(all_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 - 配置大 token 数，确保生成完整内容
|
||
llm_config = get_llm_config(model=model, api_key=api_key, temperature=0.7, max_tokens=8192)
|
||
|
||
# 优化提示词，要求生成完整代码
|
||
pm_prompt = PM_PROMPT + "\n\n【重要】请生成完整的、详细的需求文档，不要省略任何内容。"
|
||
qa_prompt = QA_PROMPT + "\n\n【重要】请生成完整的测试代码，包含所有必要的导入、测试函数和断言，不要省略。"
|
||
dev_prompt = DEV_PROMPT + "\n\n【重要】请生成完整的、可运行的代码，包含所有必要的导入、类和函数实现，不要省略任何代码。"
|
||
orch_prompt = ORCH_PROMPT + "\n\n【重要】请确保所有输出完整详细。"
|
||
|
||
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()
|