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更新于 2 months ago

webapp-testing

Aanthropics
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anthropics/skills/skills/webapp-testing
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💡 摘要

一个使用 Playwright 自动化和测试本地 Web 应用程序的工具包,附带用于服务器生命周期管理的辅助脚本。

🎯 适合人群

前端开发人员QA 自动化工程师全栈开发人员DevOps 工程师

🤖 AI 吐槽:这是一个文档齐全的封装器,让你免于阅读封装器的源代码,而讽刺的是,这正是它警告你不要做的事。

安全分析低风险

该技能通过`--server`参数执行任意shell命令并启动浏览器,可访问本地文件系统和网络。缓解措施:严格控制并清理传递给`with_server.py`的命令,并在沙箱环境中运行自动化脚本。


name: webapp-testing description: Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. license: Complete terms in LICENSE.txt

Web Application Testing

To test local web applications, write native Python Playwright scripts.

Helper Scripts Available:

  • scripts/with_server.py - Manages server lifecycle (supports multiple servers)

Always run scripts with --help first to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.

Decision Tree: Choosing Your Approach

User task → Is it static HTML?
    ├─ Yes → Read HTML file directly to identify selectors
    │         ├─ Success → Write Playwright script using selectors
    │         └─ Fails/Incomplete → Treat as dynamic (below)
    │
    └─ No (dynamic webapp) → Is the server already running?
        ├─ No → Run: python scripts/with_server.py --help
        │        Then use the helper + write simplified Playwright script
        │
        └─ Yes → Reconnaissance-then-action:
            1. Navigate and wait for networkidle
            2. Take screenshot or inspect DOM
            3. Identify selectors from rendered state
            4. Execute actions with discovered selectors

Example: Using with_server.py

To start a server, run --help first, then use the helper:

Single server:

python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py

Multiple servers (e.g., backend + frontend):

python scripts/with_server.py \ --server "cd backend && python server.py" --port 3000 \ --server "cd frontend && npm run dev" --port 5173 \ -- python your_automation.py

To create an automation script, include only Playwright logic (servers are managed automatically):

from playwright.sync_api import sync_playwright with sync_playwright() as p: browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode page = browser.new_page() page.goto('http://localhost:5173') # Server already running and ready page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute # ... your automation logic browser.close()

Reconnaissance-Then-Action Pattern

  1. Inspect rendered DOM:

    page.screenshot(path='/tmp/inspect.png', full_page=True) content = page.content() page.locator('button').all()
  2. Identify selectors from inspection results

  3. Execute actions using discovered selectors

Common Pitfall

Don't inspect the DOM before waiting for networkidle on dynamic apps ✅ Do wait for page.wait_for_load_state('networkidle') before inspection

Best Practices

  • Use bundled scripts as black boxes - To accomplish a task, consider whether one of the scripts available in scripts/ can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use --help to see usage, then invoke directly.
  • Use sync_playwright() for synchronous scripts
  • Always close the browser when done
  • Use descriptive selectors: text=, role=, CSS selectors, or IDs
  • Add appropriate waits: page.wait_for_selector() or page.wait_for_timeout()

Reference Files

  • examples/ - Examples showing common patterns:
    • element_discovery.py - Discovering buttons, links, and inputs on a page
    • static_html_automation.py - Using file:// URLs for local HTML
    • console_logging.py - Capturing console logs during automation
五维分析
清晰度8/10
创新性4/10
实用性9/10
完整性7/10
可维护性8/10
优缺点分析

优点

  • 提供了清晰的测试决策树和模式。
  • 自动管理复杂的服务器生命周期(多服务器)。
  • 鼓励最佳实践,如等待 networkidle。

缺点

  • 仅限于本地 Web 应用程序测试。
  • 新颖性较低,因为它只是 Playwright 的结构化封装。
  • README 假设用户已熟悉 Playwright 基础知识。

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 anthropics.