""" Global Infrastructure Deployment Service for AITBC Handles multi-region deployment, load balancing, and global optimization """ import asyncio import json import logging from datetime import datetime, timedelta from pathlib import Path from typing import Dict, Any, List, Optional from fastapi import FastAPI, HTTPException from pydantic import BaseModel # Configure logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) app = FastAPI( title="AITBC Global Infrastructure Service", description="Global infrastructure deployment and multi-region optimization", version="1.0.0" ) # Data models class Region(BaseModel): region_id: str name: str location: str endpoint: str status: str # active, inactive, maintenance capacity: int current_load: float latency_ms: float compliance_level: str class GlobalDeployment(BaseModel): deployment_id: str service_name: str target_regions: List[str] configuration: Dict[str, Any] deployment_strategy: str # blue_green, canary, rolling health_checks: List[str] class LoadBalancer(BaseModel): balancer_id: str name: str algorithm: str # round_robin, weighted, least_connections target_regions: List[str] health_check_interval: int failover_threshold: int class PerformanceMetrics(BaseModel): region_id: str timestamp: datetime cpu_usage: float memory_usage: float network_io: float disk_io: float active_connections: int response_time_ms: float # In-memory storage (in production, use database) global_regions: Dict[str, Dict] = {} deployments: Dict[str, Dict] = {} load_balancers: Dict[str, Dict] = {} performance_metrics: Dict[str, List[Dict]] = {} compliance_data: Dict[str, Dict] = {} global_monitoring: Dict[str, Dict] = {} @app.get("/") async def root(): return { "service": "AITBC Global Infrastructure Service", "status": "running", "timestamp": datetime.utcnow().isoformat(), "version": "1.0.0" } @app.get("/health") async def health_check(): return { "status": "healthy", "total_regions": len(global_regions), "active_regions": len([r for r in global_regions.values() if r["status"] == "active"]), "total_deployments": len(deployments), "active_load_balancers": len([lb for lb in load_balancers.values() if lb["status"] == "active"]) } @app.post("/api/v1/regions/register") async def register_region(region: Region): """Register a new global region""" if region.region_id in global_regions: raise HTTPException(status_code=400, detail="Region already registered") # Create region record region_record = { "region_id": region.region_id, "name": region.name, "location": region.location, "endpoint": region.endpoint, "status": region.status, "capacity": region.capacity, "current_load": region.current_load, "latency_ms": region.latency_ms, "compliance_level": region.compliance_level, "created_at": datetime.utcnow().isoformat(), "last_health_check": None, "services_deployed": [], "performance_history": [] } global_regions[region.region_id] = region_record logger.info(f"Region registered: {region.name} ({region.region_id})") return { "region_id": region.region_id, "status": "registered", "name": region.name, "created_at": region_record["created_at"] } @app.get("/api/v1/regions") async def list_regions(): """List all registered regions""" return { "regions": list(global_regions.values()), "total_regions": len(global_regions), "active_regions": len([r for r in global_regions.values() if r["status"] == "active"]) } @app.get("/api/v1/regions/{region_id}") async def get_region(region_id: str): """Get detailed region information""" if region_id not in global_regions: raise HTTPException(status_code=404, detail="Region not found") region = global_regions[region_id].copy() # Add performance metrics region["performance_metrics"] = performance_metrics.get(region_id, []) # Add compliance data region["compliance_data"] = compliance_data.get(region_id, {}) return region @app.post("/api/v1/deployments/create") async def create_deployment(deployment: GlobalDeployment): """Create a new global deployment""" deployment_id = f"deploy_{int(datetime.utcnow().timestamp())}" # Validate target regions for region_id in deployment.target_regions: if region_id not in global_regions: raise HTTPException(status_code=400, detail=f"Region {region_id} not found") # Create deployment record deployment_record = { "deployment_id": deployment_id, "service_name": deployment.service_name, "target_regions": deployment.target_regions, "configuration": deployment.configuration, "deployment_strategy": deployment.deployment_strategy, "health_checks": deployment.health_checks, "status": "pending", "created_at": datetime.utcnow().isoformat(), "started_at": None, "completed_at": None, "deployment_progress": {}, "rollback_available": False } deployments[deployment_id] = deployment_record # Start async deployment asyncio.create_task(execute_deployment(deployment_id)) logger.info(f"Deployment created: {deployment_id} for {deployment.service_name}") return { "deployment_id": deployment_id, "status": "pending", "service_name": deployment.service_name, "target_regions": deployment.target_regions, "created_at": deployment_record["created_at"] } @app.get("/api/v1/deployments/{deployment_id}") async def get_deployment(deployment_id: str): """Get deployment status and details""" if deployment_id not in deployments: raise HTTPException(status_code=404, detail="Deployment not found") return deployments[deployment_id] @app.get("/api/v1/deployments") async def list_deployments(status: Optional[str] = None): """List all deployments""" deployment_list = list(deployments.values()) if status: deployment_list = [d for d in deployment_list if d["status"] == status] # Sort by creation date (most recent first) deployment_list.sort(key=lambda x: x["created_at"], reverse=True) return { "deployments": deployment_list, "total_deployments": len(deployment_list), "status_filter": status } @app.post("/api/v1/load-balancers/create") async def create_load_balancer(balancer: LoadBalancer): """Create a new load balancer""" balancer_id = f"lb_{int(datetime.utcnow().timestamp())}" # Validate target regions for region_id in balancer.target_regions: if region_id not in global_regions: raise HTTPException(status_code=400, detail=f"Region {region_id} not found") # Create load balancer record balancer_record = { "balancer_id": balancer_id, "name": balancer.name, "algorithm": balancer.algorithm, "target_regions": balancer.target_regions, "health_check_interval": balancer.health_check_interval, "failover_threshold": balancer.failover_threshold, "status": "active", "created_at": datetime.utcnow().isoformat(), "current_weights": {region_id: 1.0 for region_id in balancer.target_regions}, "health_status": {region_id: "healthy" for region_id in balancer.target_regions}, "total_requests": 0, "failed_requests": 0 } load_balancers[balancer_id] = balancer_record # Start health checking asyncio.create_task(start_health_monitoring(balancer_id)) logger.info(f"Load balancer created: {balancer_id} - {balancer.name}") return { "balancer_id": balancer_id, "status": "active", "name": balancer.name, "algorithm": balancer.algorithm, "created_at": balancer_record["created_at"] } @app.get("/api/v1/load-balancers") async def list_load_balancers(): """List all load balancers""" return { "load_balancers": list(load_balancers.values()), "total_balancers": len(load_balancers), "active_balancers": len([lb for lb in load_balancers.values() if lb["status"] == "active"]) } @app.post("/api/v1/performance/metrics") async def record_performance_metrics(metrics: PerformanceMetrics): """Record performance metrics for a region""" metrics_record = { "metrics_id": f"metrics_{int(datetime.utcnow().timestamp())}", "region_id": metrics.region_id, "timestamp": metrics.timestamp.isoformat(), "cpu_usage": metrics.cpu_usage, "memory_usage": metrics.memory_usage, "network_io": metrics.network_io, "disk_io": metrics.disk_io, "active_connections": metrics.active_connections, "response_time_ms": metrics.response_time_ms } if metrics.region_id not in performance_metrics: performance_metrics[metrics.region_id] = [] performance_metrics[metrics.region_id].append(metrics_record) # Keep only last 1000 records per region if len(performance_metrics[metrics.region_id]) > 1000: performance_metrics[metrics.region_id] = performance_metrics[metrics.region_id][-1000:] # Update region performance history if metrics.region_id in global_regions: global_regions[metrics.region_id]["performance_history"].append({ "timestamp": metrics.timestamp.isoformat(), "cpu_usage": metrics.cpu_usage, "memory_usage": metrics.memory_usage, "response_time_ms": metrics.response_time_ms }) # Keep only last 100 records if len(global_regions[metrics.region_id]["performance_history"]) > 100: global_regions[metrics.region_id]["performance_history"] = global_regions[metrics.region_id]["performance_history"][-100:] return { "metrics_id": metrics_record["metrics_id"], "status": "recorded", "timestamp": metrics_record["timestamp"] } @app.get("/api/v1/performance/{region_id}") async def get_region_performance(region_id: str, hours: int = 24): """Get performance metrics for a region""" if region_id not in performance_metrics: raise HTTPException(status_code=404, detail="No performance data for region") cutoff_time = datetime.utcnow() - timedelta(hours=hours) recent_metrics = [ m for m in performance_metrics[region_id] if datetime.fromisoformat(m["timestamp"]) > cutoff_time ] # Calculate statistics if recent_metrics: avg_cpu = sum(m["cpu_usage"] for m in recent_metrics) / len(recent_metrics) avg_memory = sum(m["memory_usage"] for m in recent_metrics) / len(recent_metrics) avg_response_time = sum(m["response_time_ms"] for m in recent_metrics) / len(recent_metrics) else: avg_cpu = avg_memory = avg_response_time = 0.0 return { "region_id": region_id, "period_hours": hours, "metrics": recent_metrics, "statistics": { "average_cpu_usage": round(avg_cpu, 2), "average_memory_usage": round(avg_memory, 2), "average_response_time_ms": round(avg_response_time, 2), "total_samples": len(recent_metrics) }, "generated_at": datetime.utcnow().isoformat() } @app.get("/api/v1/compliance/{region_id}") async def get_region_compliance(region_id: str): """Get compliance information for a region""" if region_id not in global_regions: raise HTTPException(status_code=404, detail="Region not found") # Mock compliance data (in production, this would be from actual compliance systems) compliance_info = { "region_id": region_id, "region_name": global_regions[region_id]["name"], "compliance_level": global_regions[region_id]["compliance_level"], "certifications": ["SOC2", "ISO27001", "GDPR"], "data_residency": "compliant", "last_audit": (datetime.utcnow() - timedelta(days=90)).isoformat(), "next_audit": (datetime.utcnow() + timedelta(days=275)).isoformat(), "regulations": ["GDPR", "CCPA", "PDPA"], "data_protection": "end-to-end-encryption", "access_controls": "role-based-access", "audit_logging": "enabled" } return compliance_info @app.get("/api/v1/global/dashboard") async def get_global_dashboard(): """Get global infrastructure dashboard""" # Calculate global statistics total_capacity = sum(r["capacity"] for r in global_regions.values()) total_load = sum(r["current_load"] for r in global_regions.values()) avg_latency = sum(r["latency_ms"] for r in global_regions.values()) / len(global_regions) if global_regions else 0 # Deployment statistics deployment_stats = { "total": len(deployments), "pending": len([d for d in deployments.values() if d["status"] == "pending"]), "in_progress": len([d for d in deployments.values() if d["status"] == "in_progress"]), "completed": len([d for d in deployments.values() if d["status"] == "completed"]), "failed": len([d for d in deployments.values() if d["status"] == "failed"]) } # Performance summary performance_summary = {} for region_id, metrics_list in performance_metrics.items(): if metrics_list: latest_metrics = metrics_list[-1] performance_summary[region_id] = { "cpu_usage": latest_metrics["cpu_usage"], "memory_usage": latest_metrics["memory_usage"], "response_time_ms": latest_metrics["response_time_ms"], "active_connections": latest_metrics["active_connections"] } return { "dashboard": { "infrastructure": { "total_regions": len(global_regions), "active_regions": len([r for r in global_regions.values() if r["status"] == "active"]), "total_capacity": total_capacity, "current_load": total_load, "utilization_percentage": round((total_load / total_capacity * 100) if total_capacity > 0 else 0, 2), "average_latency_ms": round(avg_latency, 2) }, "deployments": deployment_stats, "load_balancers": { "total": len(load_balancers), "active": len([lb for lb in load_balancers.values() if lb["status"] == "active"]) }, "performance": performance_summary, "compliance": { "compliant_regions": len([r for r in global_regions.values() if r["compliance_level"] == "full"]), "partial_compliance": len([r for r in global_regions.values() if r["compliance_level"] == "partial"]) } }, "generated_at": datetime.utcnow().isoformat() } # Core deployment and load balancing functions async def execute_deployment(deployment_id: str): """Execute a global deployment""" deployment = deployments[deployment_id] deployment["status"] = "in_progress" deployment["started_at"] = datetime.utcnow().isoformat() try: for region_id in deployment["target_regions"]: deployment["deployment_progress"][region_id] = { "status": "deploying", "started_at": datetime.utcnow().isoformat(), "progress": 0 } # Simulate deployment process await simulate_deployment_step(region_id, deployment_id) deployment["deployment_progress"][region_id].update({ "status": "completed", "completed_at": datetime.utcnow().isoformat(), "progress": 100 }) # Update region services if region_id in global_regions: if deployment["service_name"] not in global_regions[region_id]["services_deployed"]: global_regions[region_id]["services_deployed"].append(deployment["service_name"]) deployment["status"] = "completed" deployment["completed_at"] = datetime.utcnow().isoformat() logger.info(f"Deployment completed: {deployment_id}") except Exception as e: deployment["status"] = "failed" deployment["error"] = str(e) logger.error(f"Deployment failed: {deployment_id} - {str(e)}") async def simulate_deployment_step(region_id: str, deployment_id: str): """Simulate deployment step for demo""" deployment = deployments[deployment_id] # Simulate deployment progress for progress in range(0, 101, 10): if region_id in deployment["deployment_progress"]: deployment["deployment_progress"][region_id]["progress"] = progress await asyncio.sleep(0.1) # Simulate work async def start_health_monitoring(balancer_id: str): """Start health monitoring for a load balancer""" balancer = load_balancers[balancer_id] while balancer["status"] == "active": try: # Check health of target regions for region_id in balancer["target_regions"]: if region_id in global_regions: region = global_regions[region_id] # Simulate health check (in production, this would be actual health checks) is_healthy = region["status"] == "active" and region["current_load"] < region["capacity"] * 0.9 balancer["health_status"][region_id] = "healthy" if is_healthy else "unhealthy" # Update load balancer weights based on performance update_load_balancer_weights(balancer_id) await asyncio.sleep(balancer["health_check_interval"]) except Exception as e: logger.error(f"Health monitoring error for {balancer_id}: {str(e)}") await asyncio.sleep(10) def update_load_balancer_weights(balancer_id: str): """Update load balancer weights based on region performance""" balancer = load_balancers[balancer_id] if balancer["algorithm"] == "weighted": # Calculate weights based on capacity and current load for region_id in balancer["target_regions"]: if region_id in global_regions: region = global_regions[region_id] # Weight based on available capacity available_capacity = region["capacity"] - region["current_load"] total_available = sum( global_regions[r]["capacity"] - global_regions[r]["current_load"] for r in balancer["target_regions"] if r in global_regions ) if total_available > 0: weight = available_capacity / total_available balancer["current_weights"][region_id] = round(weight, 3) # Background task for global monitoring async def global_monitoring_task(): """Background task for global infrastructure monitoring""" while True: await asyncio.sleep(60) # Monitor every minute # Update global monitoring data global_monitoring["last_update"] = datetime.utcnow().isoformat() global_monitoring["total_requests"] = sum(lb.get("total_requests", 0) for lb in load_balancers.values()) global_monitoring["failed_requests"] = sum(lb.get("failed_requests", 0) for lb in load_balancers.values()) # Check for regions that need attention for region_id, region in global_regions.items(): if region["current_load"] > region["capacity"] * 0.8: logger.warning(f"High load detected in region {region_id}: {region['current_load']}/{region['capacity']}") if region["latency_ms"] > 500: logger.warning(f"High latency detected in region {region_id}: {region['latency_ms']}ms") # Initialize with some default regions @app.on_event("startup") async def startup_event(): logger.info("Starting AITBC Global Infrastructure Service") # Initialize default regions default_regions = [ { "region_id": "us-east-1", "name": "US East (N. Virginia)", "location": "North America", "endpoint": "https://us-east-1.api.aitbc.dev", "status": "active", "capacity": 10000, "current_load": 3500, "latency_ms": 45, "compliance_level": "full" }, { "region_id": "eu-west-1", "name": "EU West (Ireland)", "location": "Europe", "endpoint": "https://eu-west-1.api.aitbc.dev", "status": "active", "capacity": 8000, "current_load": 2800, "latency_ms": 38, "compliance_level": "full" }, { "region_id": "ap-southeast-1", "name": "AP Southeast (Singapore)", "location": "Asia Pacific", "endpoint": "https://ap-southeast-1.api.aitbc.dev", "status": "active", "capacity": 6000, "current_load": 2200, "latency_ms": 62, "compliance_level": "partial" } ] for region_data in default_regions: region = Region(**region_data) region_record = { "region_id": region.region_id, "name": region.name, "location": region.location, "endpoint": region.endpoint, "status": region.status, "capacity": region.capacity, "current_load": region.current_load, "latency_ms": region.latency_ms, "compliance_level": region.compliance_level, "created_at": datetime.utcnow().isoformat(), "last_health_check": None, "services_deployed": [], "performance_history": [] } global_regions[region.region_id] = region_record # Start global monitoring asyncio.create_task(global_monitoring_task()) @app.on_event("shutdown") async def shutdown_event(): logger.info("Shutting down AITBC Global Infrastructure Service") if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=8017, log_level="info")