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>
104 lines
3.4 KiB
Python
Executable File
104 lines
3.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Démonstration de l'automatisation RPA Vision V3
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Ce script montre comment créer des chaînes et triggers automatiques.
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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, '.')
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from core.monitoring.chain_manager import ChainManager
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from core.monitoring.trigger_manager import TriggerManager
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# Initialiser les managers
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print("🚀 Initialisation...")
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cm = ChainManager(Path('data/chains'))
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tm = TriggerManager(Path('data/triggers'))
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print("\n" + "="*60)
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print("DÉMONSTRATION : Automatisation RPA Vision V3")
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print("="*60)
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# 1. Créer une chaîne de test
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print("\n📋 1. Création d'une chaîne de workflows...")
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try:
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chain = cm.create_chain(
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name="Demo Backup Chain",
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workflows=["wf_export", "wf_compress", "wf_upload"]
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)
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print(f" ✅ Chaîne créée: {chain.chain_id}")
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print(f" 📝 Nom: {chain.name}")
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print(f" 🔄 Workflows: {' → '.join(chain.workflows)}")
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except Exception as e:
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print(f" ⚠️ Erreur: {e}")
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# 2. Créer un trigger schedule
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print("\n⏰ 2. Création d'un trigger schedule...")
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try:
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trigger_schedule = tm.create_trigger(
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trigger_type="schedule",
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workflow_id=chain.chain_id,
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config={
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"interval_seconds": 300 # Toutes les 5 minutes
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}
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)
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print(f" ✅ Trigger créé: {trigger_schedule.trigger_id}")
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print(f" ⏱️ Intervalle: 300 secondes (5 minutes)")
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print(f" 🎯 Cible: {trigger_schedule.workflow_id}")
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print(f" 🟢 Activé: {trigger_schedule.enabled}")
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except Exception as e:
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print(f" ⚠️ Erreur: {e}")
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# 3. Créer un trigger file
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print("\n📁 3. Création d'un trigger file...")
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try:
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trigger_file = tm.create_trigger(
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trigger_type="file",
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workflow_id="wf_process_invoice",
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config={
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"watch_directory": "/tmp/rpa_test",
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"file_pattern": "*.txt"
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}
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)
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print(f" ✅ Trigger créé: {trigger_file.trigger_id}")
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print(f" 📂 Répertoire: /tmp/rpa_test")
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print(f" 🔍 Pattern: *.txt")
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print(f" 🎯 Workflow: {trigger_file.workflow_id}")
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except Exception as e:
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print(f" ⚠️ Erreur: {e}")
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# 4. Lister toutes les chaînes
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print("\n📊 4. Chaînes configurées:")
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chains = cm.list_chains()
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for c in chains:
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print(f" • {c.name} ({c.chain_id})")
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print(f" Workflows: {len(c.workflows)}")
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print(f" Taux de succès: {c.success_rate:.1f}%")
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# 5. Lister tous les triggers
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print("\n⚡ 5. Triggers configurés:")
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triggers = tm.list_triggers()
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for t in triggers:
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status = "🟢 Activé" if t.enabled else "🔴 Désactivé"
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print(f" • {t.trigger_type.upper()} - {status}")
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print(f" ID: {t.trigger_id}")
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print(f" Cible: {t.workflow_id}")
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print(f" Déclenchements: {t.fire_count}")
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print("\n" + "="*60)
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print("✨ AUTOMATISATION CONFIGURÉE")
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print("="*60)
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print("\n📌 Prochaines étapes:")
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print(" 1. Le scheduler tourne en arrière-plan")
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print(" 2. Les triggers schedule se déclenchent automatiquement")
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print(" 3. Les triggers file surveillent les répertoires")
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print(" 4. Les chaînes s'exécutent séquentiellement")
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print("\n🌐 Interface admin: http://localhost:5001")
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print(" → Onglet 'Chaînes' pour voir les chaînes")
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print(" → Onglet 'Déclencheurs' pour gérer les triggers")
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print(" → Onglet 'Métriques' pour voir le statut du scheduler")
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print("\n🎉 Tout est prêt pour l'automatisation !")
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