| name | e2e-testing |
| description | Test web applications end-to-end by simulating user interactions and verifying expected outcomes.
Trigger when the user asks to: test a web app, verify a user flow, run end-to-end tests,
QA a feature, check that a page works correctly, validate user journeys, or test a deployment.
|
| allowed-tools | Bash(openbrowser-ai:*) Bash(curl:*) Bash(uv:*) Bash(irm:*) Read Write |
End-to-End Testing
Simulate real user interactions and verify web application behavior using Python code execution. Covers navigation, form interaction, content assertions, and multi-page flows.
All code runs via openbrowser-ai -c. The daemon starts automatically and persists variables across calls. All browser functions are async -- use await.
The CLI daemon also persists cookies and login state in ~/.config/openbrowser/profiles/daemon/storage_state.json, so authenticated sessions can be reused across later runs.
Setup
Before running, verify openbrowser-ai is installed:
openbrowser-ai --help
If not found, install:
curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh
irm https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.ps1 | iex
Workflow
Step 1 -- Navigate and verify page load
openbrowser-ai -c - <<'EOF'
await navigate("https://staging.example.com")
state = await browser.get_browser_state_summary()
assert "example" in state.url.lower(), f"Unexpected URL: {state.url}"
assert state.title, "Page title is empty"
print(f"Page loaded: {state.title} ({state.url})")
EOF
Step 2 -- Content assertions
openbrowser-ai -c - <<'EOF'
has_welcome = await evaluate("""
(function(){ return !!document.body.textContent.match(/Welcome to Example App/i) })()
""")
assert has_welcome, "Welcome message not found"
h1_text = await evaluate("document.querySelector('h1')?.textContent?.trim()")
assert h1_text == "Example App", f'Expected "Example App", got "{h1_text}"'
error_count = await evaluate("document.querySelectorAll('.error-message').length")
assert error_count == 0, f"Found {error_count} error messages on page"
print("All content assertions passed")
EOF
Step 3 -- Test user interactions (login flow)
openbrowser-ai -c - <<'EOF'
state = await browser.get_browser_state_summary()
for idx, el in state.dom_state.selector_map.items():
if el.attributes.get("type") in ("email", "text", "password") or el.tag_name == "button":
etype = el.attributes.get("type", "")
placeholder = el.attributes.get("placeholder", "")
print(f"[{idx}] <{el.tag_name}> type={etype} placeholder=\"{placeholder}\"")
await input_text(index=3, text="test@example.com")
await input_text(index=4, text="test-password")
await click(index=5)
await wait(2)
state = await browser.get_browser_state_summary()
assert "dashboard" in state.url.lower() or "welcome" in state.title.lower(), \
f"Login may have failed. URL: {state.url}, Title: {state.title}"
print("Login test passed")
EOF
Step 4 -- Test navigation flows
openbrowser-ai -c - <<'EOF'
state = await browser.get_browser_state_summary()
for idx, el in state.dom_state.selector_map.items():
if "settings" in el.get_all_children_text(max_depth=1).lower():
await click(index=idx)
break
await wait(1)
path = await evaluate("window.location.pathname")
assert "/settings" in path, f"Expected /settings path, got {path}"
await go_back()
await wait(1)
state = await browser.get_browser_state_summary()
print(f"After back: {state.url}")
EOF
Step 5 -- Test error handling
openbrowser-ai -c - <<'EOF'
await input_text(index=3, text="not-an-email")
await click(index=5)
await wait(1)
errors = await evaluate("""
(function(){
const errs = document.querySelectorAll(".error, .invalid-feedback, [aria-invalid=\"true\"]");
return Array.from(errs).map(e => e.textContent.trim());
})()
""")
assert len(errors) > 0, "Expected validation errors but found none"
print(f"Validation errors shown: {errors}")
path = await evaluate("window.location.pathname")
print(f"Still on: {path}")
EOF
Step 6 -- Test responsive behavior
openbrowser-ai -c - <<'EOF'
viewport = await evaluate("""
(function(){
return {
width: window.innerWidth,
height: window.innerHeight
}
})()
""")
vw = viewport["width"]
vh = viewport["height"]
print(f"Viewport: {vw}x{vh}")
mobile_display = await evaluate("""
(function(){
const el = document.querySelector(".mobile-menu");
return el ? window.getComputedStyle(el).display : "not found";
})()
""")
print(f"Mobile menu display: {mobile_display}")
EOF
Step 7 -- Test multi-page flows
openbrowser-ai -c - <<'EOF'
test_results = []
await navigate("https://staging.example.com/cart")
await wait(1)
cart_title = await evaluate("document.querySelector('h1')?.textContent?.trim()")
test_results.append({"test": "cart_page_loads", "passed": cart_title is not None, "detail": cart_title})
cart_count = await evaluate("JSON.parse(localStorage.getItem('cart'))?.items?.length || 0")
test_results.append({"test": "cart_has_items", "passed": cart_count > 0, "detail": f"{cart_count} items"})
import json
passed = sum(1 for t in test_results if t["passed"])
total = len(test_results)
print(f"\nResults: {passed}/{total} passed")
print(json.dumps(test_results, indent=2))
EOF
Tips
- Code is piped via stdin using heredoc (
-c - <<'EOF'), so all Python syntax works without shell escaping issues.
- Use Python
assert statements for test assertions -- they produce clear error messages on failure.
- Always verify page state after each interaction before proceeding.
- Test both happy paths and error paths for thorough coverage.
- Use
await wait(N) after interactions that trigger page loads or animations.
- Variables persist between
-c calls while the daemon is running, so you can accumulate test results across calls.
- Use
evaluate() for DOM state assertions and browser.get_browser_state_summary() for page metadata.
Cleanup
This step is mandatory. Run it after the test run finishes, whether assertions passed or failed. Without it, the daemon keeps Chrome running until its 10-minute idle timeout, leaving a stale browser process, a locked profile, and (on macOS/Linux desktop) a visible window.
Stop the daemon, then verify it is gone:
openbrowser-ai daemon stop
openbrowser-ai daemon status
daemon stop closes every tab, exits Chrome, flushes saved cookies/login state to the profile, and shuts down the daemon process. daemon status should report the daemon is not running. If it still reports running, the daemon is wedged, force-kill it:
pkill -f 'openbrowser.*daemon' || true
E2E runs fail often by design (that is what assertions are for). Guarantee cleanup with a shell trap so a failed assertion never leaks a browser:
trap 'openbrowser-ai daemon stop >/dev/null 2>&1 || true' EXIT
Do not rely on the idle timeout. Do not call done() as a substitute, done() only marks the task complete inside the agent loop, it does not close the browser.