webapp-testing
flonat/flonat-research/skills/webapp-testing/SKILL.md
Exercise and verify a local web application through Playwright, including user flows and rendered behaviour. Use when testing a running local app rather than issuing an isolated browser command. For ad hoc automation, use $playwright-cli.
Skill144 starsChanged 8 days ago
- Installs packages
---
name: webapp-testing
description: "Exercise and verify a local web application through Playwright, including user flows and rendered behaviour. Use when testing a running local app rather than issuing an isolated browser command. For ad hoc automation, use $playwright-cli."
license: Complete terms in LICENSE.txt
allowed-tools: Bash(uv*, mkdir*, ls*, kill*), Read, Write
skill-dependencies: [playwright-cli]
---
# Web Application Testing
To test local web applications, write native Python Playwright scripts.
Use this skill when the task needs local server lifecycle management, custom
Python assertions, or a repeatable test script. For ad-hoc browser navigation
and interaction that does not need custom Python, use `$playwright-cli`.
**Helper Scripts Available**:
- `scripts/with_server.py` - Manages server lifecycle (supports multiple servers)
**Always run helper scripts with `--help` first** to see usage. DO NOT read the source until you try running the helper and find that a customized solution is absolutely 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.
## Dependency Preflight
Before writing a native Playwright script, verify the selected project environment:
```bash
uv run python -c "from importlib.metadata import version; print(version('playwright'))"
```
If the import fails:
1. For a one-off page inspection without custom assertions, use the declared
`$playwright-cli` fallback.
2. For repeatable assertions or managed server testing, ask before installing
dependencies. After approval, install into the project's development
environment rather than adding a browser runtime to production dependencies:
```bash
uv pip install --python <project>/.venv/bin/python playwright
uv run python -m playwright install chromium
```
3. Re-run the import preflight, then continue with native Python Playwright.
If the project already declares a Playwright dev extra, prefer syncing that
extra over an ad-hoc environment install. Never use bare `pip` or a
machine-global Python environment.
## 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: uv 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
uv run python scripts/with_server.py --server "npm run dev" --port 5173 -- uv run python your_automation.py
```
**Multiple servers (e.g., backend + frontend):**
```bash
uv run python scripts/with_server.py \
--server "cd backend && uv run python server.py" --port 3000 \
--server "cd frontend && npm run dev" --port 5173 \
-- uv run 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
Discussion
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