#!/usr/bin/env nu

# Demo 5: Cost Optimization and Resource Management
# Shows automatic cost optimization features
# Target audience: Startups, project managers, CFOs

print "=== Demo 5: Cost Optimization and Resource Management ==="

print "\n1. Current infrastructure cost analysis..."

# Analyze current infrastructure costs
print "Analyzing current AWS infrastructure costs..."
run-external "provisioning" cost analyze --provider aws --infra "production" --period "last-30-days"

# Simulated cost breakdown
let current_costs = [
    {service: "EC2 Instances", cost: "$2,800", percentage: "45%", optimization: "🟡 Medium"},
    {service: "RDS Database", cost: "$1,200", percentage: "19%", optimization: "🟢 Good"},
    {service: "Load Balancers", cost: "$800", percentage: "13%", optimization: "🔴 High"},
    {service: "Storage (EBS)", cost: "$600", percentage: "10%", optimization: "🟡 Medium"},
    {service: "Data Transfer", cost: "$400", percentage: "6%", optimization: "🔴 High"},
    {service: "CloudWatch", cost: "$200", percentage: "3%", optimization: "🟢 Good"},
    {service: "Other", cost: "$200", percentage: "3%", optimization: "🟢 Good"}
]

print "\n💰 Current Monthly Costs (Total: $6,200):"
$current_costs | table

print "\n2. Running optimization analysis..."
run-external "provisioning" cost optimize --infra "production" --target "40%" --simulate

print "\n3. Optimization recommendations:"

let optimizations = [
    {
        recommendation: "Right-size EC2 instances",
        current: "8x m5.xlarge",
        optimized: "6x m5.large + 2x spot",
        savings: "$1,200/month",
        risk: "Low"
    },
    {
        recommendation: "Optimize load balancers",
        current: "4x ALB",
        optimized: "2x ALB + 1x NLB",
        savings: "$400/month",
        risk: "Low"
    },
    {
        recommendation: "Storage optimization",
        current: "GP3 + snapshots daily",
        optimized: "GP3 + lifecycle policy",
        savings: "$200/month",
        risk: "None"
    },
    {
        recommendation: "Data transfer optimization",
        current: "Multi-AZ without CDN",
        optimized: "CloudFront + optimized routing",
        savings: "$300/month",
        risk: "None"
    }
]

$optimizations | table

print "\n4. Implementing optimizations automatically:"
run-external "provisioning" cost apply --infra "production" --optimizations "rightsizing,storage,cdn" --gradual

print "\n⏳ Implementation Progress:"
sleep 1sec; print "✅ Analyzing instance utilization..."
sleep 1sec; print "✅ Creating optimized instance mix..."
sleep 1sec; print "✅ Setting up CDN configuration..."
sleep 1sec; print "✅ Implementing storage lifecycle policies..."
sleep 1sec; print "✅ Updating monitoring and alerts..."

print "\n5. Cost comparison:"

let cost_comparison = [
    {period: "Before Optimization", monthly: "$6,200", yearly: "$74,400", efficiency: "60%"},
    {period: "After Optimization", monthly: "$4,100", yearly: "$49,200", efficiency: "85%"},
    {period: "Savings", monthly: "$2,100", yearly: "$25,200", efficiency: "+25%"}
]

$cost_comparison | table

print "\n6. Performance impact analysis:"

let performance_impact = [
    {metric: "Response Time", before: "250ms", after: "180ms", change: "✅ 28% improvement"},
    {metric: "Availability", before: "99.5%", after: "99.8%", change: "✅ +0.3% improvement"},
    {metric: "Throughput", before: "1,000 req/s", after: "1,200 req/s", change: "✅ +20% improvement"},
    {metric: "Error Rate", before: "0.1%", after: "0.05%", change: "✅ 50% reduction"}
]

$performance_impact | table

print "\n7. Predictive cost modeling:"
run-external "provisioning" cost forecast --infra "production" --period "12-months" --growth "20%"

let forecast = [
    {month: "Current", cost: "$4,100", growth: "0%", notes: "Post-optimization"},
    {month: "Month 3", cost: "$4,300", growth: "5%", notes: "Natural growth"},
    {month: "Month 6", cost: "$4,600", growth: "12%", notes: "Feature additions"},
    {month: "Month 9", cost: "$4,900", growth: "20%", notes: "Scale up"},
    {month: "Month 12", cost: "$5,200", growth: "27%", notes: "Full scale projected"}
]

print "\n📈 12-Month Cost Forecast:"
$forecast | table

print "\n8. Automated cost alerts and governance:"

let cost_governance = [
    {alert: "Monthly budget 80%", action: "Email finance team", status: "✅ Active"},
    {alert: "Resource idle > 7 days", action: "Auto-shutdown proposal", status: "✅ Active"},
    {alert: "Cost anomaly +50%", action: "Immediate Slack alert", status: "✅ Active"},
    {alert: "New resource > $500/month", action: "Require approval", status: "✅ Active"}
]

print "\n🚨 Cost Governance Rules:"
$cost_governance | table

print "\n9. Multi-cloud cost optimization:"
run-external "provisioning" cost compare --providers "aws,gcp,azure" --workload "web-app"

let multi_cloud_comparison = [
    {provider: "AWS", monthly: "$4,100", savings: "0% (baseline)", features: "Current"},
    {provider: "GCP", monthly: "$3,400", savings: "17%", features: "Similar + better ML"},
    {provider: "Azure", monthly: "$3,800", savings: "7%", features: "Similar + AD integration"},
    {provider: "Hybrid", monthly: "$3,200", savings: "22%", features: "Best of all"}
]

print "\n☁️ Multi-Cloud Cost Comparison:"
$multi_cloud_comparison | table

print "\n✅ Results Summary:"
print "💰 Total Savings: $25,200/year (34% reduction)"
print "🚀 Performance: 20-30% improvement across metrics"
print "⚙️ Automation: 95% of optimizations applied automatically"
print "📊 Visibility: Real-time cost monitoring and alerts"
print "🎯 ROI: 400% return on investment in 12 months"