aiagent/test_workflow_tool.py

#!/usr/bin/env python3
"""
工作流测试工具
支持通过Agent名称和用户输入来测试工作流执行
"""
import requests
import json
import time
import sys
import argparse

# API基础URL
BASE_URL = "http://localhost:8037"

def print_section(title):
    """打印分隔线"""
    print("\n" + "=" * 80)
    print(f"  {title}")
    print("=" * 80)

def print_info(message):
    """打印信息"""
    print(f"ℹ️  {message}")

def print_success(message):
    """打印成功信息"""
    print(f"✅ {message}")

def print_error(message):
    """打印错误信息"""
    print(f"❌ {message}")

def print_warning(message):
    """打印警告信息"""
    print(f"⚠️  {message}")

def login(username="admin", password="123456"):
    """
    用户登录
    
    Returns:
        tuple: (success: bool, token: str or None, headers: dict or None)
    """
    print_section("1. 用户登录")
    login_data = {
        "username": username,
        "password": password
    }
    
    try:
        response = requests.post(f"{BASE_URL}/api/v1/auth/login", data=login_data)
        if response.status_code != 200:
            print_error(f"登录失败: {response.status_code}")
            print(f"响应: {response.text}")
            return False, None, None
        
        token = response.json().get("access_token")
        if not token:
            print_error("登录失败: 未获取到token")
            return False, None, None
        
        print_success(f"登录成功 (用户: {username})")
        headers = {"Authorization": f"Bearer {token}"}
        return True, token, headers
    except requests.exceptions.ConnectionError:
        print_error("无法连接到后端服务，请确保后端服务正在运行")
        print_info(f"后端服务地址: {BASE_URL}")
        return False, None, None
    except Exception as e:
        print_error(f"登录异常: {str(e)}")
        return False, None, None

def find_agent_by_name(agent_name, headers):
    """
    通过名称查找Agent
    
    Args:
        agent_name: Agent名称
        headers: 请求头（包含token）
    
    Returns:
        tuple: (success: bool, agent: dict or None)
    """
    print_section("2. 查找Agent")
    print_info(f"搜索Agent: {agent_name}")
    
    try:
        # 搜索Agent
        response = requests.get(
            f"{BASE_URL}/api/v1/agents",
            headers=headers,
            params={"search": agent_name, "limit": 100}
        )
        
        if response.status_code != 200:
            print_error(f"获取Agent列表失败: {response.status_code}")
            print(f"响应: {response.text}")
            return False, None
        
        agents = response.json()
        
        # 精确匹配名称
        exact_match = None
        for agent in agents:
            if agent.get("name") == agent_name:
                exact_match = agent
                break
        
        if exact_match:
            agent_id = exact_match["id"]
            agent_status = exact_match.get("status", "unknown")
            print_success(f"找到Agent: {agent_name} (ID: {agent_id}, 状态: {agent_status})")
            
            # 检查状态
            if agent_status not in ["published", "running"]:
                print_warning(f"Agent状态为 '{agent_status}'，可能无法执行")
                print_info("只有 'published' 或 'running' 状态的Agent可以执行")
            
            return True, exact_match
        
        # 如果没有精确匹配，显示相似的结果
        if agents:
            print_warning(f"未找到名称为 '{agent_name}' 的Agent")
            print_info("找到以下相似的Agent:")
            for agent in agents[:5]:  # 只显示前5个
                print(f"  - {agent.get('name')} (ID: {agent.get('id')}, 状态: {agent.get('status')})")
        else:
            print_error(f"未找到任何Agent")
            print_info("请检查Agent名称是否正确，或先创建一个Agent")
        
        return False, None
        
    except Exception as e:
        print_error(f"查找Agent异常: {str(e)}")
        return False, None

def execute_agent(agent_id, user_input, headers):
    """
    执行Agent工作流
    
    Args:
        agent_id: Agent ID
        user_input: 用户输入内容
        headers: 请求头
    
    Returns:
        tuple: (success: bool, execution_id: str or None)
    """
    print_section("3. 执行Agent工作流")
    print_info(f"用户输入: {user_input}")
    
    input_data = {
        "query": user_input,
        "USER_INPUT": user_input
    }
    
    execution_data = {
        "agent_id": agent_id,
        "input_data": input_data
    }
    
    try:
        response = requests.post(
            f"{BASE_URL}/api/v1/executions",
            headers=headers,
            json=execution_data
        )
        
        if response.status_code != 201:
            print_error(f"创建执行任务失败: {response.status_code}")
            print(f"响应: {response.text}")
            return False, None
        
        execution = response.json()
        execution_id = execution["id"]
        status = execution.get("status")
        print_success(f"执行任务已创建")
        print_info(f"执行ID: {execution_id}")
        print_info(f"状态: {status}")
        return True, execution_id
        
    except Exception as e:
        print_error(f"创建执行任务异常: {str(e)}")
        return False, None

def wait_for_completion(execution_id, headers, max_wait_time=300, poll_interval=2):
    """
    等待执行完成
    
    Args:
        execution_id: 执行ID
        headers: 请求头
        max_wait_time: 最大等待时间（秒）
        poll_interval: 轮询间隔（秒）
    
    Returns:
        tuple: (success: bool, status: str or None)
    """
    print_section("4. 等待执行完成")
    print_info(f"最大等待时间: {max_wait_time}秒")
    print_info(f"轮询间隔: {poll_interval}秒")
    
    start_time = time.time()
    last_node = None
    
    while True:
        elapsed_time = time.time() - start_time
        if elapsed_time > max_wait_time:
            print_error(f"执行超时（超过{max_wait_time}秒）")
            return False, "timeout"
        
        try:
            # 获取执行状态
            status_response = requests.get(
                f"{BASE_URL}/api/v1/executions/{execution_id}/status",
                headers=headers
            )
            
            if status_response.status_code == 200:
                status = status_response.json()
                current_status = status.get("status")
                progress = status.get("progress", 0)
                current_node = status.get("current_node")
                
                # 显示当前执行的节点
                if current_node:
                    node_id = current_node.get("node_id", "unknown")
                    node_name = current_node.get("node_name", "unknown")
                    if node_id != last_node:
                        print_info(f"当前节点: {node_id} ({node_name})")
                        last_node = node_id
                
                # 显示进度
                elapsed_str = f"{int(elapsed_time)}秒"
                print(f"⏳ 执行中... 状态: {current_status}, 进度: {progress}%, 耗时: {elapsed_str}", end="\r")
                
                if current_status == "completed":
                    print()  # 换行
                    print_success("执行完成！")
                    return True, "completed"
                elif current_status == "failed":
                    print()  # 换行
                    print_error("执行失败")
                    error = status.get("error", "未知错误")
                    print_error(f"错误信息: {error}")
                    return False, "failed"
            
            time.sleep(poll_interval)
        except KeyboardInterrupt:
            print()  # 换行
            print_warning("用户中断执行")
            return False, "interrupted"
        except Exception as e:
            print_error(f"获取执行状态异常: {str(e)}")
            time.sleep(poll_interval)

def get_execution_result(execution_id, headers):
    """
    获取执行结果
    
    Args:
        execution_id: 执行ID
        headers: 请求头
    
    Returns:
        tuple: (success: bool, result: dict or None)
    """
    print_section("5. 获取执行结果")
    
    try:
        response = requests.get(
            f"{BASE_URL}/api/v1/executions/{execution_id}",
            headers=headers
        )
        
        if response.status_code != 200:
            print_error(f"获取执行结果失败: {response.status_code}")
            print(f"响应: {response.text}")
            return False, None
        
        execution = response.json()
        status = execution.get("status")
        output_data = execution.get("output_data")
        execution_time = execution.get("execution_time")
        
        print_info(f"执行状态: {status}")
        if execution_time:
            print_info(f"执行时间: {execution_time}ms ({execution_time/1000:.2f}秒)")
        
        print()
        print("=" * 80)
        print("输出结果:")
        print("=" * 80)
        
        if output_data:
            if isinstance(output_data, dict):
                # 尝试提取文本输出
                text_output = (
                    output_data.get("output") or
                    output_data.get("text") or
                    output_data.get("content") or
                    output_data.get("result") or
                    json.dumps(output_data, ensure_ascii=False, indent=2)
                )
                print(text_output)
            else:
                print(output_data)
        else:
            print("(无输出数据)")
        
        print("=" * 80)
        
        return True, execution
        
    except Exception as e:
        print_error(f"获取执行结果异常: {str(e)}")
        return False, None

def main():
    """主函数"""
    parser = argparse.ArgumentParser(
        description="工作流测试工具 - 通过Agent名称和用户输入测试工作流执行",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
示例:
  # 使用默认参数（交互式输入）
  python3 test_workflow_tool.py
  
  # 指定Agent名称和用户输入
  python3 test_workflow_tool.py -a "智能需求分析与解决方案生成器" -i "生成一个导出androidlog的脚本"
  
  # 指定用户名和密码
  python3 test_workflow_tool.py -u admin -p 123456 -a "Agent名称" -i "用户输入"
        """
    )
    
    parser.add_argument(
        "-a", "--agent-name",
        type=str,
        help="Agent名称（如果不指定，将交互式输入）"
    )
    
    parser.add_argument(
        "-i", "--input",
        type=str,
        help="用户输入内容（如果不指定，将交互式输入）"
    )
    
    parser.add_argument(
        "-u", "--username",
        type=str,
        default="admin",
        help="登录用户名（默认: admin）"
    )
    
    parser.add_argument(
        "-p", "--password",
        type=str,
        default="123456",
        help="登录密码（默认: 123456）"
    )
    
    parser.add_argument(
        "--max-wait",
        type=int,
        default=300,
        help="最大等待时间（秒，默认: 300）"
    )
    
    parser.add_argument(
        "--poll-interval",
        type=float,
        default=2.0,
        help="轮询间隔（秒，默认: 2.0）"
    )
    
    args = parser.parse_args()
    
    # 打印标题
    print("=" * 80)
    print("  工作流测试工具")
    print("=" * 80)
    
    # 1. 登录
    success, token, headers = login(args.username, args.password)
    if not success:
        sys.exit(1)
    
    # 2. 获取Agent名称
    agent_name = args.agent_name
    if not agent_name:
        agent_name = input("\n请输入Agent名称: ").strip()
        if not agent_name:
            print_error("Agent名称不能为空")
            sys.exit(1)
    
    # 3. 查找Agent
    success, agent = find_agent_by_name(agent_name, headers)
    if not success or not agent:
        sys.exit(1)
    
    agent_id = agent["id"]
    
    # 4. 获取用户输入
    user_input = args.input
    if not user_input:
        user_input = input("\n请输入用户输入内容: ").strip()
        if not user_input:
            print_error("用户输入不能为空")
            sys.exit(1)
    
    # 5. 执行Agent
    success, execution_id = execute_agent(agent_id, user_input, headers)
    if not success:
        sys.exit(1)
    
    # 6. 等待执行完成
    success, status = wait_for_completion(
        execution_id, 
        headers, 
        max_wait_time=args.max_wait,
        poll_interval=args.poll_interval
    )
    
    if not success:
        if status == "timeout":
            print_warning("执行超时，但可能仍在后台运行")
            print_info(f"执行ID: {execution_id}")
            print_info("可以通过API查询执行状态")
        sys.exit(1)
    
    # 7. 获取执行结果
    success, result = get_execution_result(execution_id, headers)
    if not success:
        sys.exit(1)
    
    # 完成
    print_section("测试完成")
    print_success("工作流测试成功完成！")
    print_info(f"执行ID: {execution_id}")
    print_info(f"Agent: {agent_name}")

if __name__ == "__main__":
    main()