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v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution

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- 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>
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Dom
2026-01-29 11:23:51 +01:00
parent 21bfa3b337
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DEPLOY_MANUAL.txt Normal file
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# Déploiement Manuel - Option B
# 1. Sauvegardes
sudo cp /opt/rpa_vision_v3/server/processing_pipeline.py /opt/rpa_vision_v3/server/processing_pipeline.py.backup_$(date +%Y%m%d_%H%M%S)
sudo cp /opt/rpa_vision_v3/core/graph/graph_builder.py /opt/rpa_vision_v3/core/graph/graph_builder.py.backup_$(date +%Y%m%d_%H%M%S)
# 2. Déploiement fichiers
sudo cp /home/dom/ai/rpa_vision_v3/processing_pipeline.py /opt/rpa_vision_v3/server/processing_pipeline.py
sudo chown rpa:rpa /opt/rpa_vision_v3/server/processing_pipeline.py
sudo cp /home/dom/ai/rpa_vision_v3/graph_builder.py /opt/rpa_vision_v3/core/graph/graph_builder.py
sudo chown rpa:rpa /opt/rpa_vision_v3/core/graph/graph_builder.py
# 3. Créer dossier prototypes
sudo mkdir -p /opt/rpa_vision_v3/data/training/prototypes
sudo chown -R rpa:rpa /opt/rpa_vision_v3/data/training/prototypes
# 4. Redémarrer worker
sudo systemctl restart rpa-vision-v3-worker.service
# 5. Vérifier statut
systemctl status rpa-vision-v3-worker.service