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/archive/misc/BUILD_DEPLOY_SUMMARY.md
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# Build & Déploiement - Résumé Rapide
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**Date:** 24 novembre 2025
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**Status:** ✅ Scripts Prêts
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## 🎯 Fichiers Créés
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### Scripts de Build Agent
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1. **`agent_v0/agent_v0.spec`** - Configuration PyInstaller
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2. **`agent_v0/build_windows.bat`** - Build Windows (.exe)
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3. **`agent_v0/build_macos.sh`** - Build macOS (.app)
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4. **`agent_v0/build_linux.sh`** - Build Linux (binaire)
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### Serveur API
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5. **`server/api_upload.py`** - API FastAPI complète
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6. **`server/requirements_server.txt`** - Dépendances serveur
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7. **`server/start_server.sh`** - Script démarrage serveur
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### Documentation
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8. **`BUILD_DEPLOY_GUIDE.md`** - Guide complet (détaillé)
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9. **`BUILD_DEPLOY_SUMMARY.md`** - Ce fichier (résumé rapide)
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---
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## ⚡ Quick Start
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### 1. Build Exécutables
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**Windows:**
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```cmd
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cd agent_v0
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build_windows.bat
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→ dist\agent_v0.exe
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```
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**macOS:**
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```bash
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cd agent_v0
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./build_macos.sh
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→ dist/agent_v0.app
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```
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**Linux:**
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```bash
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cd agent_v0
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./build_linux.sh
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→ dist/agent_v0
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```
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### 2. Démarrer Serveur
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```bash
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cd server
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# Installer dépendances
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pip install -r requirements_server.txt
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# Configurer password
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export ENCRYPTION_PASSWORD="VotreCléSecrète2025"
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# Démarrer
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./start_server.sh
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```
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**Serveur accessible sur:** `http://localhost:8000`
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### 3. Configurer Agent
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**Éditer `agent_v0/agent_config.json`:**
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```json
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{
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"enable_encryption": true,
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"encryption_password": "VotreCléSecrète2025",
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"server_url": "http://localhost:8000/api/traces/upload"
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}
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```
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### 4. Tester
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**Agent:**
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1. Lancer l'exécutable
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2. Clic gauche → Start session
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3. Faire quelques clics
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4. Clic gauche → Stop session
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5. Vérifier upload dans logs
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**Serveur:**
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```bash
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curl http://localhost:8000/api/traces/sessions
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```
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---
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## 📋 Checklist Rapide
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### Build
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- [ ] Windows: `build_windows.bat` → `dist\agent_v0.exe`
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- [ ] macOS: `./build_macos.sh` → `dist/agent_v0.app`
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- [ ] Linux: `./build_linux.sh` → `dist/agent_v0`
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### Serveur
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- [ ] Installer: `pip install -r server/requirements_server.txt`
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- [ ] Configurer: `export ENCRYPTION_PASSWORD="..."`
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- [ ] Démarrer: `./server/start_server.sh`
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- [ ] Tester: `curl http://localhost:8000/api/traces/status`
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### Configuration
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- [ ] Agent: Éditer `agent_config.json` (password + server_url)
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- [ ] Serveur: Même password que l'agent
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- [ ] Test end-to-end: Agent → Upload → Serveur
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---
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## 🚀 Production
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### Agent
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1. Build sur chaque OS
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2. Configurer `server_url` production (HTTPS!)
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3. Distribuer aux formateurs
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### Serveur
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1. Déployer sur serveur Linux
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2. Configurer HTTPS (Nginx + Let's Encrypt)
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3. Configurer systemd (auto-start)
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4. Configurer firewall
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**Voir `BUILD_DEPLOY_GUIDE.md` pour détails complets.**
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---
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## 🔒 Sécurité
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**⚠️ Important:**
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- Utiliser **HTTPS** en production (pas HTTP)
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- Changer `ENCRYPTION_PASSWORD` par défaut
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- Même password agent/serveur
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- Firewall: Autoriser seulement 443 (HTTPS)
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---
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## 📊 Endpoints API
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| Endpoint | Méthode | Description |
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|----------|---------|-------------|
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| `/api/traces/upload` | POST | Upload session .enc |
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| `/api/traces/status` | GET | Status serveur |
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| `/api/traces/sessions` | GET | Liste sessions reçues |
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| `/` | GET | Page d'accueil |
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---
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## 🎉 Résultat
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**Après ces étapes:**
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- ✅ Exécutables Windows/macOS/Linux prêts
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- ✅ Serveur API fonctionnel
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- ✅ Upload chiffré agent → serveur
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- ✅ Sessions stockées dans `data/training/`
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**Les formateurs peuvent maintenant enregistrer leurs workflows!** 🚀
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---
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## 📞 Aide
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**Problèmes?**
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- Voir `BUILD_DEPLOY_GUIDE.md` (guide détaillé)
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- Logs agent: `agent_v0/logs/agent_v0.log`
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- Logs serveur: Terminal où tourne `start_server.sh`
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**Prochaines étapes:**
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1. Implémenter déchiffrement AES-256 dans `api_upload.py`
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2. Implémenter pipeline processing (ScreenStates, embeddings, workflows)
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3. Monitoring et statistiques
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