1f1cc4db9a
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主要改进: - 新增统一测试器 (universal_tester.py) 支持多种测试模式 - 优化测试报告生成器，支持汇总报告和操作截图 - 增强探索器 DFS 算法和状态指纹识别 - 新增智能测试配置 (smart_test.yaml) - 改进 AI 模型集成 (GLM/Gemini 支持) - 添加开发调试工具和文档
150 lines
5.2 KiB
Python
150 lines
5.2 KiB
Python
#!/usr/bin/env python3
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"""
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零配置智能测试 - 无需预先了解系统功能
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"""
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import sys
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sys.path.insert(0, ".")
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from src import WebTester
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def auto_discover_and_test(url: str, model: str = "glm", headless: bool = False):
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"""
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自动发现并测试系统功能
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适合完全未知的系统
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"""
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print("=" * 60)
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print("🤖 零配置智能测试")
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print("=" * 60)
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print(f"🌐 目标URL: {url}")
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print(f"🤖 AI模型: {model}")
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print(f"🖥️ 无头模式: {'是' if headless else '否'}")
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print("-" * 60)
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tester = WebTester(model=model, headless=headless)
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try:
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# 启动并导航
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tester.start()
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tester.goto(url)
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# 步骤1: 智能登录（如果需要）
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print("\n📝 步骤1: 检测登录状态")
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current_url = tester.browser.page.url
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# 简单判断是否在登录页
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if "login" in current_url.lower() or tester.browser.page.locator("input[type='password']").count() > 0:
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print(" 检测到登录页面，尝试智能登录...")
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# 尝试常见的用户名密码
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login_goals = [
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"输入用户名admin和密码password，点击登录",
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"输入admin/admin，点击登录",
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"输入test/123456，点击登录"
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]
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login_success = False
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for goal in login_goals:
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try:
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result = tester.test(goal)
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tester.browser.wait(2000)
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new_url = tester.browser.page.url
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if new_url != current_url and "login" not in new_url.lower():
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print(f" ✅ 登录成功: {goal}")
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login_success = True
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break
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except:
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continue
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if not login_success:
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print(" ⚠️ 自动登录失败，继续探索...")
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# 步骤2: 全面探索
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print("\n🔍 步骤2: 开始智能探索")
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explore_config = {
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"max_depth": 3, # 适中的深度
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"max_clicks": 100, # 充足的点击
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"focus_patterns": [], # 不设限制，让AI自由发现
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"dangerous_patterns": ["删除", "退出", "注销", "delete", "logout", "exit"]
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}
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explore_result = tester.explore(explore_config)
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# 步骤3: 分析发现的功能
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print("\n📊 步骤3: 分析测试结果")
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action_log = explore_result.get("action_log", [])
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# 统计功能类型
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clicked_elements = []
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forms_filled = []
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pages_visited = set()
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for action in action_log:
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if action.get("action_taken"):
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element_name = action.get("element_name", "")
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clicked_elements.append(element_name)
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if action.get("action_type") == "form_input":
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forms_filled.append(element_name)
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if action.get("url_changed"):
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pages_visited.add(action.get("after_url", ""))
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# 输出发现的功能
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print(f"\n✅ 测试完成！发现的功能:")
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print(f" 🖱️ 点击的元素: {len(clicked_elements)} 个")
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print(f" 📝 填写的表单: {len(forms_filled)} 个")
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print(f" 📄 访问的页面: {len(pages_visited)} 个")
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# 显示主要功能模块
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if clicked_elements:
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print(f"\n🎯 主要功能模块:")
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unique_elements = list(set(clicked_elements))[:10] # 显示前10个
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for i, elem in enumerate(unique_elements, 1):
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print(f" {i}. {elem}")
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# 生成简化报告
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report = {
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"url": url,
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"total_clicks": len(clicked_elements),
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"forms_filled": len(forms_filled),
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"pages_visited": len(pages_visited),
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"discovered_elements": unique_elements,
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"success": True
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}
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return report
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except Exception as e:
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print(f"\n❌ 测试失败: {e}")
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return {"success": False, "error": str(e)}
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finally:
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tester.stop()
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def main():
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import argparse
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parser = argparse.ArgumentParser(description="零配置智能测试工具")
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parser.add_argument("url", help="要测试的网站URL")
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parser.add_argument("--model", default="glm",
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choices=["claude", "openai", "glm", "mimo"],
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help="AI模型")
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parser.add_argument("--headless", action="store_true",
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help="无头模式")
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parser.add_argument("--output", "-o", help="保存报告到文件")
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args = parser.parse_args()
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# 运行测试
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result = auto_discover_and_test(args.url, args.model, args.headless)
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# 保存报告
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if args.output and result.get("success"):
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import json
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with open(args.output, 'w', encoding='utf-8') as f:
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json.dump(result, f, ensure_ascii=False, indent=2)
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print(f"\n📄 报告已保存到: {args.output}")
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if __name__ == "__main__":
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main()
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