Developer: "Hotovo, môžeš otestovať?"
QA: "Aké sú test cases?"
Developer: "Ehm... funguje to?"

1 stránka aplikácie = 30-60 minút analýzy a písania
50 stránok = 25-50 hodín práce

+ každá zmena = update scenárov
+ nové features = nové scenáre
= nikdy nekončiaca práca

Web Aplikácia → Sentinel → JSON Scenáre → Playwright/Selenium

# Spustenie je jednoduché
uv run python main.py --url https://your-app.com --username admin --password secret

# Výstup: results/all_generated_scenarios.json

1. WebNavigator (Playwright)
   └── Prihlásenie do aplikácie
   └── Navigácia medzi stránkami

2. DeepExplorer
   ├── Objavenie všetkých navigačných prvkov
   ├── Extrakcia dropdown menu
   ├── Identifikácia CRUD tlačidiel
   ├── Analýza formulárov
   └── Detekcia tabuliek a modálov

3. CrewAI Agent (Ollama LLM)
   └── Generovanie test scenárov pre každú stránku

# Sentinel rozpoznáva 11 typov akcií:
- create, edit, delete, save, cancel  # CRUD
- filter, search, clear               # Vyhľadávanie
- export, import, refresh             # Dátové operácie

{
  "page_url": "https://app.example.com/users",
  "scenarios": [
    {
      "name": "Test Happy Path - Create New User",
      "description": "Verify admin can create new user account",
      "steps": [
        {
          "action": "click",
          "selector": "button[data-testid='btn-create']",
          "value": "",
          "description": "Click Create User button"
        },
        {
          "action": "fill",
          "selector": "input[name='email']",
          "value": "newuser@test.com",
          "description": "Fill email field"
        },
        {
          "action": "fill",
          "selector": "input[name='name']",
          "value": "Test User",
          "description": "Fill name field"
        },
        {
          "action": "click",
          "selector": "button[type='submit']",
          "value": "",
          "description": "Submit form"
        },
        {
          "action": "verify_text",
          "selector": ".toast-success",
          "value": "User created successfully",
          "description": "Verify success message"
        }
      ]
    }
  ]
}

# Sentinel používa Ollama - beží lokálne
LLM_API_URL="http://localhost:11434"
LLM_MODEL="llama3.1"

// Angular
<a routerLink="/users">Users</a>

// React
<Link to="/users">Users</Link>

// Vue
<router-link to="/users">Users</router-link>

USERS='[
  {"username": "admin", "password": "admin123", "role": "admin"},
  {"username": "user", "password": "user123", "role": "user"},
  {"username": "viewer", "password": "view123", "role": "viewer"}
]'

# 1. CLI - jednoduché spustenie
uv run python main.py

# 2. MCP Server - integrácia s Claude
# tools: analyze_web_application, explore_web_application

# 3. gRPC Service - remote volania
# port 50051, language-agnostic

# 1. Spustíte Sentinel na staging environment
uv run python main.py \
  --url https://staging.app.com \
  --login-url https://staging.app.com/login \
  --username qa@company.com \
  --password secret \
  --max-pages 100

# 2. Dostanete JSON so všetkými scenármi

# 3. QA engineer review scenáre a upraví podľa potreby

# 4. Scenáre môžete použiť ako:
#    - Manuálny test checklist
#    - Základ pre Playwright testy
#    - Dokumentáciu funkcionality

{
  "name": "User cannot delete own account",
  "description": "Verify delete button is disabled for current user"
}

// ❌ Bez scenárov
test('test login', async () => {
  // čo vlastne testujeme?
  // aké sú expected results?
  // edge cases?
});

// ✅ So scenármi
test('Login with valid credentials shows dashboard', async () => {
  // Jasný cieľ z JSON scenára
  await page.fill('[data-testid="input-email"]', 'user@test.com');
  await page.fill('[data-testid="input-password"]', 'password');
  await page.click('[data-testid="btn-login"]');
  await expect(page.locator('h1')).toContainText('Dashboard');
});

diff results/v1.0_scenarios.json results/v1.1_scenarios.json

┌─────────────────────────────────────────────────┐
│                 User Interface                   │
│    CLI │ MCP Server │ gRPC Service              │
└────────────────────┬────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────┐
│              Main Orchestrator                   │
│   - Multi-user workflow                         │
│   - Results aggregation                         │
└────────────────────┬────────────────────────────┘
                     ↓
┌────────────┬───────────────┬────────────────────┐
│WebNavigator│ DeepExplorer  │    CrewAI Agent    │
│ Playwright │  Discovery    │   Ollama LLM       │
│ Auth       │  Elements     │   Test Generation  │
└────────────┴───────────────┴────────────────────┘
                     ↓
┌─────────────────────────────────────────────────┐
│          JSON Test Scenarios                     │
│   results/all_generated_scenarios.json          │
└─────────────────────────────────────────────────┘

# 1. Nainštalujte dependencies
pip install playwright crewai langchain-ollama

# 2. Nainštalujte Playwright browsers
playwright install chromium

# 3. Spustite Ollama s modelom
ollama run llama3.1

# 4. Nakonfigurujte .env
cat > .env << EOF
TARGET_URL="https://your-app.com"
LOGIN_URL="https://your-app.com/login"
USERS='[{"username":"admin","password":"secret","role":"admin"}]'
LLM_API_URL="http://localhost:11434"
LLM_MODEL="llama3.1"
HEADLESS="false"
MAX_PAGES="50"
EOF

# 5. Spustite Sentinel
uv run python main.py