xst
119 lines
5.5 KiB
Python
119 lines
5.5 KiB
Python
"""
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Agentic QE Fleet — Playwright 自动化测试脚本
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需求: 安徽运八需求
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生成时间: 2026-07-14T03:40:32.591309+00:00
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目标浏览器: chromium, firefox, webkit
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对应测试用例: E:\test\QaAutomationHub\output\test_cases\安徽运八需求_测试用例.md
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用例数量: 18
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"""
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import asyncio
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from pathlib import Path
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from datetime import datetime
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from playwright.async_api import async_playwright
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SCREENSHOTS_DIR = Path(r"E:\test\QaAutomationHub\output\screenshots\安徽运八需求")
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SCREENSHOT_ON_FAILURE = True
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SCREENSHOT_ON_STEP = False
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TIMEOUT = 120000
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def screenshot_path(name: str, browser: str) -> str:
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"""生成截图路径。"""
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SCREENSHOTS_DIR.mkdir(parents=True, exist_ok=True)
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ts = datetime.now().strftime("%Y%m%d_%H%M%S")
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return str(SCREENSHOTS_DIR / f"{name}_{browser}_{ts}.png")
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async def run_test(browser_type: str, browser_name: str):
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"""执行单个浏览器的测试。"""
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results = {"passed": 0, "failed": 0, "screenshots": [], "errors": []}
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async with async_playwright() as p:
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browser_launcher = getattr(p, browser_type)
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browser = await browser_launcher.launch(headless=True)
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context = await browser.new_context(
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viewport={"width": 1920, "height": 1080},
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locale="zh-CN",
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)
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page = await context.new_page()
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page.set_default_timeout(TIMEOUT)
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# ============================================================
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# 以下为测试用例骨架，请根据实际测试环境配置 BASE_URL 和测试数据
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# ============================================================
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BASE_URL = "http://localhost:3000" # ⚠️ 请修改为实际测试环境地址
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try:
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# ── 测试准备: 登录 ──
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# await page.goto(f"{BASE_URL}/login")
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# await page.screenshot(path=screenshot_path('01_login', browser_name))
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# ── 从测试用例自动生成的测试步骤 ──
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# [P0] AH_REPORT_DASH_001: 验证看板按完整运单号精确搜索运单
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# → 进入"监管上报-上报看板"页面；2. 在运单号搜索框中输入完整运单号"YB202607130001"；3. 点击搜索按钮或按回车键
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_001', browser_name))
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# [P0] AH_REPORT_DASH_002: 验证看板按运单号模糊搜索匹配多条记录
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# → 进入"监管上报-上报看板"页面；2. 在运单号搜索框中输入"YB20260713"；3. 点击搜索
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_002', browser_name))
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# [P1] AH_REPORT_DASH_003: 验证看板按不存在的单号搜索显示空结果
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# → 进入"监管上报-上报看板"页面；2. 在运单号搜索框中输入不存在的单号"NOTEXIST999"；3. 点击搜索
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_003', browser_name))
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# [P1] AH_REPORT_DASH_004: 验证看板按"第一次上报"阶段筛选运单
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# → 进入"监管上报-上报看板"页面，默认为"全部"；2. 点击上报阶段下拉框，选择"第一次上报"；3. 观察列表数据
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_004', browser_name))
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# [P1] AH_REPORT_DASH_005: 验证看板按"异常"核验状态筛选运单
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# → 进入"监管上报-上报看板"页面；2. 点击核验状态下拉框，选择"异常"；3. 观察列表数据
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_005', browser_name))
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# [P1] AH_REPORT_DASH_006: 验证看板按"申诉中"申诉状态筛选运单
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# → 进入"监管上报-上报看板"页面；2. 点击申诉状态下拉框，选择"申诉中"；3. 观察列表数据并与全部列表对比
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_006', browser_name))
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# [P1] AH_REPORT_DASH_007: 验证看板组合筛选—第二次上报+异常+申诉中+运单号模糊搜索
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# → 进入"监管上报-上报看板"页面；2. 上报阶段选"第二次上报"；3. 核验状态选"异常"；4. 申诉状态选"申诉中"；5. 运单号输入"YB2026"；6. 点击搜索
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# await page.screenshot(path=screenshot_path('AH_REPORT_DASH_007', browser_name))
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results["passed"] += 1
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except Exception as exc:
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results["failed"] += 1
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results["errors"].append(str(exc))
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if SCREENSHOT_ON_FAILURE:
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path = screenshot_path('failure', browser_name)
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await page.screenshot(path=path)
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results["screenshots"].append(path)
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print(f"📸 失败截图: {path}")
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finally:
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await browser.close()
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return results
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async def main():
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"""主执行入口。"""
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all_results = {}
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for browser_type in ['chromium', 'firefox', 'webkit']:
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print(f"\n🚀 启动浏览器: {browser_type}")
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results = await run_test(browser_type, browser_type)
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all_results[browser_type] = results
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print(f" ✅ {results['passed']} 通过, ❌ {results['failed']} 失败")
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# 汇总
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total_passed = sum(r["passed"] for r in all_results.values())
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total_failed = sum(r["failed"] for r in all_results.values())
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total_screenshots = sum(len(r["screenshots"]) for r in all_results.values())
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print(f"\n🏁 执行完成: 总通过 {{total_passed}}, 总失败 {{total_failed}}, 截图 {{total_screenshots}}")
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return all_results
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if __name__ == "__main__":
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asyncio.run(main())
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