a27b74cf22
- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
#!/usr/bin/env python3
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"""
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Test rapide de l'intégration Ollama avec qwen3-vl:8b
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Usage: python quick_test_ollama.py
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from core.detection import OllamaClient, check_ollama_available
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def main():
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print("🔍 Test rapide Ollama + qwen3-vl:8b\n")
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# 1. Vérifier Ollama
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print("1️⃣ Vérification Ollama...")
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if not check_ollama_available():
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print(" ❌ Ollama non disponible")
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print(" 💡 Lancez: ollama serve")
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return
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print(" ✅ Ollama disponible\n")
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# 2. Lister modèles
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print("2️⃣ Modèles disponibles:")
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client = OllamaClient(model="qwen3-vl:8b")
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models = client.list_models()
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vision_models = [m for m in models if 'vl' in m.lower() or 'vision' in m.lower()]
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if vision_models:
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for model in vision_models:
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marker = "✅" if "qwen3-vl:8b" in model else " "
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print(f" {marker} {model}")
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else:
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print(" ⚠️ Aucun modèle vision trouvé")
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print(" 💡 Installez: ollama pull qwen3-vl:8b")
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return
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# 3. Test simple
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print("\n3️⃣ Test de génération...")
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result = client.generate(
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"Describe what you see in one sentence.",
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temperature=0.1
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)
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if result["success"]:
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print(f" ✅ Réponse: {result['response'][:100]}...")
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else:
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print(f" ❌ Erreur: {result['error']}")
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print("\n✨ Test terminé!")
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print("\n💡 Pour tester avec un screenshot:")
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print(" python test_ollama_integration.py <screenshot.png>")
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if __name__ == "__main__":
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main()
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