Create Replication/cross_platform.py

Replication/cross_platform.py

@@ -0,0 +1,187 @@
+#!/usr/bin/env python3
+"""
+Réplication Cross-Platform
+Déploiement sur multiples plateformes cloud et edge
+"""
+
+import asyncio
+import random
+from typing import Dict, List, Any
+import logging
+
+class CrossPlatform:
+    """
+    Gestionnaire de déploiement cross-platform
+    Support pour multiples environnements cloud et edge
+    """
+    
+    def __init__(self):
+        self.logger = logging.getLogger("cross_platform")
+        self.supported_platforms = []
+        self.deployment_configs = {}
+        self.platform_health = {}
+        
+    async def initialize(self):
+        """Initialise le système cross-platform"""
+        self.logger.info("🌐 Initialisation du système cross-platform...")
+        
+        try:
+            await self._load_platform_support()
+            await self._setup_deployment_configs()
+            await self._monitor_platform_health()
+            
+            self.logger.info("✅ Système cross-platform initialisé")
+            return True
+            
+        except Exception as e:
+            self.logger.error(f"❌ Erreur d'initialisation cross-platform: {e}")
+            return False
+    
+    async def deploy_to_platform(self, platform: str, deployment_package: Dict) -> Dict[str, Any]:
+        """Déploie sur une plateforme spécifique"""
+        if platform not in self.supported_platforms:
+            return {"error": "Plateforme non supportée"}
+        
+        deployment_id = f"DEPLOY_{len(self.deployment_configs) + 1:06d}"
+        
+        deployment_result = await self._execute_deployment(platform, deployment_package)
+        
+        self.deployment_configs[deployment_id] = {
+            "platform": platform,
+            "package": deployment_package,
+            "status": "deployed",
+            "deployment_time": deployment_result.get("duration", 0),
+            "endpoint": deployment_result.get("endpoint", "")
+        }
+        
+        return {
+            "deployment_id": deployment_id,
+            "platform": platform,
+            "status": "success",
+            "endpoint": deployment_result.get("endpoint", ""),
+            "deployment_time": deployment_result.get("duration", 0)
+        }
+    
+    async def multi_platform_deploy(self, deployment_package: Dict, platforms: List[str] = None) -> Dict[str, Any]:
+        """Déploie sur multiples plateformes simultanément"""
+        if platforms is None:
+            platforms = self.supported_platforms[:3]  # 3 premières plateformes par défaut
+        
+        deployment_tasks = []
+        for platform in platforms:
+            task = self.deploy_to_platform(platform, deployment_package)
+            deployment_tasks.append(task)
+        
+        results = await asyncio.gather(*deployment_tasks, return_exceptions=True)
+        
+        successful_deploys = [r for r in results if isinstance(r, dict) and "deployment_id" in r]
+        failed_deploys = [r for r in results if isinstance(r, Exception)]
+        
+        return {
+            "total_platforms": len(platforms),
+            "successful_deploys": len(successful_deploys),
+            "failed_deploys": len(failed_deploys),
+            "deployment_ids": [d["deployment_id"] for d in successful_deploys],
+            "failed_platforms": [str(e) for e in failed_deploys]
+        }
+    
+    async def get_platform_status(self, platform: str = None) -> Dict[str, Any]:
+        """Retourne le statut des plateformes"""
+        if platform:
+            return self.platform_health.get(platform, {"error": "Plateforme non surveillée"})
+        
+        return {
+            "monitored_platforms": len(self.platform_health),
+            "platform_status": self.platform_health,
+            "overall_health": await self._calculate_overall_health()
+        }
+    
+    async def _load_platform_support(self):
+        """Charge le support des plateformes"""
+        self.supported_platforms = [
+            "huggingface_spaces",
+            "streamlit_cloud",
+            "heroku",
+            "vercel",
+            "netlify",
+            "aws_amplify",
+            "google_cloud_run",
+            "azure_static_web_apps",
+            "digitalocean_apps",
+            "railway"
+        ]
+        
+        self.logger.info(f"🖥️ {len(self.supported_platforms)} plateformes supportées")
+    
+    async def _setup_deployment_configs(self):
+        """Configure les paramètres de déploiement"""
+        for platform in self.supported_platforms:
+            self.deployment_configs[platform] = {
+                "runtime": "python_3_10",
+                "requirements": ["gradio", "aiohttp", "numpy"],
+                "environment_variables": {
+                    "BAROUIA_ENV": "production",
+                    "QUANTUM_MODE": "enabled"
+                }
+            }
+    
+    async def _monitor_platform_health(self):
+        """Surveille la santé des plateformes"""
+        for platform in self.supported_platforms:
+            self.platform_health[platform] = {
+                "status": "healthy",
+                "latency": random.uniform(10, 200),
+                "uptime": random.uniform(0.95, 0.999),
+                "last_check": __import__('time').time()
+            }
+        
+        # Surveillance continue
+        asyncio.create_task(self._continuous_health_monitoring())
+    
+    async def _execute_deployment(self, platform: str, package: Dict) -> Dict[str, Any]:
+        """Exécute le déploiement sur une plateforme"""
+        # Simulation du déploiement
+        deployment_time = random.uniform(5.0, 30.0)
+        
+        return {
+            "success": True,
+            "platform": platform,
+            "duration": deployment_time,
+            "endpoint": f"https://{platform}.barouia-cortex.ai",
+            "resources_allocated": {
+                "cpu": package.get("resources", {}).get("cpu", 1),
+                "memory": package.get("resources", {}).get("memory", 512)
+            }
+        }
+    
+    async def _calculate_overall_health(self) -> str:
+        """Calcule la santé globale des plateformes"""
+        healthy_count = sum(1 for status in self.platform_health.values() 
+                          if status["status"] == "healthy")
+        
+        health_ratio = healthy_count / len(self.platform_health)
+        
+        if health_ratio >= 0.9:
+            return "excellent"
+        elif health_ratio >= 0.7:
+            return "good"
+        elif health_ratio >= 0.5:
+            return "degraded"
+        else:
+            return "poor"
+    
+    async def _continuous_health_monitoring(self):
+        """Surveillance continue de la santé"""
+        while True:
+            await asyncio.sleep(60)  # Toutes les minutes
+            
+            for platform in self.supported_platforms:
+                # Simulation de fluctuations de santé
+                status_change = random.random()
+                if status_change < 0.05:  # 5% de chance de changement
+                    new_status = "degraded" if self.platform_health[platform]["status"] == "healthy" else "healthy"
+                    self.platform_health[platform]["status"] = new_status
+                    self.platform_health[platform]["latency"] = random.uniform(10, 200)
+                    self.platform_health[platform]["last_check"] = __import__('time').time()
+            
+            self.logger.debug("📊 Santé des plateformes mise à jour")