39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import requests
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import json
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def test_normal_prediction():
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"""Démo cas normal - Match entre deux équipes top 10"""
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match = {
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"team_1": "Natus Vincere",
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"team_2": "FaZe Clan",
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"rank_1": 1,
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"rank_2": 2,
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"map_name": "Mirage"
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}
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print("=" * 50)
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print("CAS NORMAL - Prédiction Match Pro")
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print("=" * 50)
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print(f"\n📋 Input:")
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print(json.dumps(match, indent=2))
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# Appel API
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response = requests.post("http://localhost:8000/predict", json=match)
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print(f"\n✅ Réponse:")
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result = response.json()
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print(json.dumps(result, indent=2))
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print(f"\n📊 Interprétation:")
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winner = match['team_1'] if result['winner'] == 1 else match['team_2']
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print(f"Gagnant prédit: {winner}")
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print(f"Confiance: {result['probability']:.1%}")
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print(f"Latence: {result['latency_ms']:.1f}ms")
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# Vérifier dashboard Grafana
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print(f"\n🎨 Dashboard: http://localhost:3000")
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print(f"MLflow: http://localhost:5000")
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if __name__ == "__main__":
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test_normal_prediction() |