- 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>
23 lines
990 B
Plaintext
23 lines
990 B
Plaintext
# Déploiement Manuel - Option B
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# 1. Sauvegardes
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sudo cp /opt/rpa_vision_v3/server/processing_pipeline.py /opt/rpa_vision_v3/server/processing_pipeline.py.backup_$(date +%Y%m%d_%H%M%S)
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sudo cp /opt/rpa_vision_v3/core/graph/graph_builder.py /opt/rpa_vision_v3/core/graph/graph_builder.py.backup_$(date +%Y%m%d_%H%M%S)
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# 2. Déploiement fichiers
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sudo cp /home/dom/ai/rpa_vision_v3/processing_pipeline.py /opt/rpa_vision_v3/server/processing_pipeline.py
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sudo chown rpa:rpa /opt/rpa_vision_v3/server/processing_pipeline.py
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sudo cp /home/dom/ai/rpa_vision_v3/graph_builder.py /opt/rpa_vision_v3/core/graph/graph_builder.py
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sudo chown rpa:rpa /opt/rpa_vision_v3/core/graph/graph_builder.py
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# 3. Créer dossier prototypes
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sudo mkdir -p /opt/rpa_vision_v3/data/training/prototypes
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sudo chown -R rpa:rpa /opt/rpa_vision_v3/data/training/prototypes
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# 4. Redémarrer worker
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sudo systemctl restart rpa-vision-v3-worker.service
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# 5. Vérifier statut
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systemctl status rpa-vision-v3-worker.service
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