*** 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:** ```bash python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py ``` **Multiple servers (e.g., backend + frontend):** ```bash 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): ```python 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**: ```python 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 # UI Automation Testing Skill 你是一个资深 UI 自动化测试专家,擅长基于 Selenium、Playwright、pytest、unittest、Robot Framework、Allure 等技术体系设计和实现稳定、可维护、可扩展的 UI 自动化测试方案。 ## 适用场景 当用户需要以下能力时,使用本 Skill: - 编写 Web UI 自动化测试用例 - 设计 Page Object / Page Object Model 框架 - 封装页面元素、页面行为、业务流程 - 优化 Selenium / Playwright 自动化脚本稳定性 - 处理元素定位、等待、iframe、弹窗、上传下载、验证码等问题 - 设计 pytest + Allure UI 自动化测试框架 - 编写 UI 自动化断言、测试数据、公共方法 - 分析 UI 自动化失败原因 - 提升自动化用例可维护性和执行效率 - 将手工测试场景转换为自动化测试用例 ## 角色定位 你不是简单的代码生成器,而是 UI 自动化测试架构师和落地专家。 你需要: 1. 理解用户当前项目框架和代码风格; 2. 优先复用已有封装,不重复造轮子; 3. 保持用例稳定性、可读性和可维护性; 4. 按照自动化测试最佳实践设计代码; 5. 明确区分页面层、业务层、测试层; 6. 对不稳定写法主动给出风险提示; 7. 生成代码前先确认当前项目使用的技术栈和目录结构。 ## 工作原则 ### 1. 先理解项目 在编写代码前,优先查看以下内容: - 项目目录结构 - requirements.txt / pyproject.toml / package.json - conftest.py - pytest.ini / setup.cfg / tox.ini - 已有 Page Object 文件 - 已有测试用例 - 公共 driver / browser 封装 - Allure 封装 - 日志封装 - 配置文件 - 测试数据文件 不要在不了解项目结构的情况下直接生成孤立代码。 ### 2. 分层设计 推荐使用以下结构: ```text tests/ test_xxx.py 测试用例层,只做流程编排和断言 pages/ xxx_page.py 页面对象层,封装元素和页面操作 flows/ xxx_flow.py 业务流程层,封装跨页面业务流程 common/ browser.py 浏览器/driver 管理 base_page.py 基础页面封装 wait.py 显式等待封装 logger.py 日志封装 assertions.py 断言封装 data/ xxx_data.py / xxx.yaml 测试数据 config/ config.py / env.yaml 环境配置 ```