v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution
- 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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CORRECTIONS_FINALES.txt
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CORRECTIONS_FINALES.txt
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# Corrections Finales - Workflows & Embeddings
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## Corrections effectuées:
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1. graph_builder.py ligne 508:
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- AVANT: screen_template=template
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- APRÈS: template=template
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- Ajouté: description="Cluster detected from X observations"
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2. processing_pipeline.py ligne 297:
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- AVANT: f"data/training/sessions/{session.session_id}/{session.session_id}/{screenshot.relative_path}"
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- APRÈS: f"data/training/sessions/{session.session_id}/{screenshot.relative_path}"
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## Déploiement:
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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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sudo systemctl restart rpa-vision-v3-worker.service
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## Test:
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cd /home/dom/ai/rpa_vision_v3/agent_v0
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./run.sh
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# Actions 30 secondes, Ctrl+C
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# Attendre 2 minutes
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## Vérification:
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ls -lh /opt/rpa_vision_v3/data/training/workflows/
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ls -lh /opt/rpa_vision_v3/data/training/prototypes/
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find /opt/rpa_vision_v3/data/training/embeddings -name "*.npy" | wc -l
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journalctl -u rpa-vision-v3-worker -n 50 | grep -E "(Embeddings générés|Workflow créé)"
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