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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docs/guides/COMMANDES_RAPIDES.md
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docs/guides/COMMANDES_RAPIDES.md
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# 🚀 Commandes Rapides - RPA Vision V3
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## Installation
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```bash
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# Installation complète
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./install_deps.sh
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# Vérifier l'installation
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./test_installation.sh
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```
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## Lancement
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```bash
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# Lancer l'application GUI
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./run.sh
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# Lancer avec le dashboard web
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./run.sh --dashboard
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# Lancer manuellement
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source venv_v3/bin/activate
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python run_gui.py
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```
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## Tests
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```bash
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# Activer l'environnement
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source venv_v3/bin/activate
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# Vérifier la capture d'écran
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python verify_capture_system.py
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# Test rapide de détection
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./test_quick.sh
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# Tests unitaires
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pytest tests/unit/
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# Tests d'intégration
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pytest tests/integration/
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# Tous les tests
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pytest tests/
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```
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## Ollama (VLM)
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```bash
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# Démarrer Ollama
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ollama serve
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# Télécharger le modèle
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ollama pull qwen3-vl:8b
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# Lister les modèles
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ollama list
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# Vérifier le statut
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systemctl status ollama # Linux
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```
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## Dashboard Web
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```bash
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# Lancer le dashboard
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./run.sh --dashboard
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# Accéder au dashboard
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# http://localhost:5001
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# Voir les logs
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tail -f logs/dashboard.log
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```
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## Développement
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```bash
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# Activer l'environnement
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source venv_v3/bin/activate
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# Installer une nouvelle dépendance
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pip install <package>
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# Mettre à jour requirements.txt
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pip freeze > requirements.txt
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# Lancer un exemple
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python examples/test_complete_real.py
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# Diagnostic système
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python examples/diagnostic_vlm.py
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```
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## Maintenance
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```bash
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# Réinstaller les dépendances
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./install_deps.sh
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# Nettoyer le cache
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rm -rf __pycache__ */__pycache__ */*/__pycache__
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rm -rf .pytest_cache
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rm -rf htmlcov .coverage
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# Recréer l'environnement virtuel
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rm -rf venv_v3
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python3 -m venv venv_v3
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./install_deps.sh
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```
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## Logs et Debugging
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```bash
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# Voir les logs
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ls -la logs/
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# Logs du dashboard
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tail -f logs/dashboard.log
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# Logs d'erreurs
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grep -r "ERROR" logs/
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# Vérifier les imports
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python -c "from core.detection import UIDetector; print('OK')"
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```
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## Informations Système
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```bash
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# Version Python
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python3 --version
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# Modules installés
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source venv_v3/bin/activate
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pip list
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# Espace disque
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df -h
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# Mémoire
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free -h
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# GPU (si NVIDIA)
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nvidia-smi
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```
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## Raccourcis Utiles
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```bash
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# Alias à ajouter dans ~/.bashrc ou ~/.zshrc
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alias rpa-activate='source ~/ai/rpa_vision_v3/venv_v3/bin/activate'
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alias rpa-run='cd ~/ai/rpa_vision_v3 && ./run.sh'
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alias rpa-test='cd ~/ai/rpa_vision_v3 && ./test_installation.sh'
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alias rpa-dashboard='cd ~/ai/rpa_vision_v3 && ./run.sh --dashboard'
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```
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## Aide
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```bash
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# Documentation
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cat README.md
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cat QUICK_START.md
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cat INSTALLATION_GUIDE.md
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# Statut du projet
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cat STATUS_24NOV.md
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# Guide de migration
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cat MIGRATION_COMPLETE.md
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```
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## Résolution de Problèmes
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```bash
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# Problème d'imports
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source venv_v3/bin/activate
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python -c "from core.models import ScreenState; print('OK')"
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# Problème de capture d'écran
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python verify_capture_system.py
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# Problème Ollama
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ollama list
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ollama serve
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# Réinstaller tout
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rm -rf venv_v3 .deps_installed
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./install_deps.sh
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```
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---
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**Astuce** : Gardez ce fichier ouvert dans un terminal pour référence rapide !
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