import requests
import json
import pytest

def test_normal_prediction():
    """Démo cas normal - Match entre deux équipes top 10"""
    
    # Skip test if server is not running
    try:
        response = requests.get("http://localhost:8000/health", timeout=1)
        if response.status_code != 200:
            pytest.skip("API server not running or not healthy")
    except requests.exceptions.RequestException:
        pytest.skip("API server not running")
    
    match = {
        "team_1": "Natus Vincere",
        "team_2": "FaZe Clan",
        "rank_1": 1,
        "rank_2": 2,
        "map_name": "Mirage"
    }
    
    print("=" * 50)
    print("CAS NORMAL - Prédiction Match Pro")
    print("=" * 50)
    print(f"\n📋 Input:")
    print(json.dumps(match, indent=2))
    
    # Appel API
    response = requests.post("http://localhost:8000/predict", json=match)
    
    print(f"\n✅ Réponse:")
    result = response.json()
    print(json.dumps(result, indent=2))
    
    print(f"\n📊 Interprétation:")
    winner = match['team_1'] if result['winner'] == 1 else match['team_2']
    print(f"Gagnant prédit: {winner}")
    print(f"Confiance: {result['probability']:.1%}")
    print(f"Latence: {result['latency_ms']:.1f}ms")
    
    # Vérifier dashboard Grafana
    print(f"\n🎨 Dashboard: http://localhost:3000")
    print(f"MLflow: http://localhost:5000")

if __name__ == "__main__":
    test_normal_prediction()