Production Deployment Strategies for High-Performance Web Services(8893)

use hyperlane::*;

async fn production_readiness_handler(ctx: Context) {
    let readiness_check = perform_production_readiness_check().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_header(CONTENT_TYPE, "application/json")
        .await
        .set_response_header("X-Production-Ready", readiness_check.is_ready.to_string())
        .await
        .set_response_body(readiness_check.report)
        .await;
}

struct ProductionReadinessCheck {
    is_ready: bool,
    report: String,
}

async fn perform_production_readiness_check() -> ProductionReadinessCheck {
    let mut checks = Vec::new();
    let mut all_passed = true;

    // Performance checks
    let performance_check = check_performance_requirements().await;
    checks.push(format!("Performance: {}", performance_check.status));
    all_passed &= performance_check.passed;

    // Resource checks
    let resource_check = check_resource_requirements().await;
    checks.push(format!("Resources: {}", resource_check.status));
    all_passed &= resource_check.passed;

    // Security checks
    let security_check = check_security_requirements().await;
    checks.push(format!("Security: {}", security_check.status));
    all_passed &= security_check.passed;

    // Monitoring checks
    let monitoring_check = check_monitoring_requirements().await;
    checks.push(format!("Monitoring: {}", monitoring_check.status));
    all_passed &= monitoring_check.passed;

    // Scalability checks
    let scalability_check = check_scalability_requirements().await;
    checks.push(format!("Scalability: {}", scalability_check.status));
    all_passed &= scalability_check.passed;

    let report = format!(r#"{{
        "production_ready": {},
        "checks": [{}],
        "timestamp": {},
        "recommendations": "All systems operational for production deployment"
    }}"#,
        all_passed,
        checks.join(", "),
        current_timestamp()
    );

    ProductionReadinessCheck {
        is_ready: all_passed,
        report,
    }
}

struct CheckResult {
    passed: bool,
    status: String,
}

async fn check_performance_requirements() -> CheckResult {
    // Verify performance meets production requirements
    let response_time = measure_average_response_time().await;
    let throughput = measure_throughput().await;
    let memory_usage = measure_memory_efficiency().await;

    let performance_score = calculate_performance_score(response_time, throughput, memory_usage);

    CheckResult {
        passed: performance_score >= 90.0,
        status: format!("Score: {:.1}% (Response: {:.1}ms, Throughput: {:.0} RPS, Memory: {:.1}MB)",
                       performance_score, response_time, throughput, memory_usage),
    }
}

async fn check_resource_requirements() -> CheckResult {
    // Verify resource allocation is appropriate
    let cpu_allocation = check_cpu_allocation().await;
    let memory_allocation = check_memory_allocation().await;
    let disk_allocation = check_disk_allocation().await;
    let network_allocation = check_network_allocation().await;

    let all_adequate = cpu_allocation && memory_allocation && disk_allocation && network_allocation;

    CheckResult {
        passed: all_adequate,
        status: format!("CPU: {}, Memory: {}, Disk: {}, Network: {}",
                       if cpu_allocation { "OK" } else { "INSUFFICIENT" },
                       if memory_allocation { "OK" } else { "INSUFFICIENT" },
                       if disk_allocation { "OK" } else { "INSUFFICIENT" },
                       if network_allocation { "OK" } else { "INSUFFICIENT" }),
    }
}

async fn check_security_requirements() -> CheckResult {
    // Verify security configurations
    let tls_configured = check_tls_configuration().await;
    let headers_configured = check_security_headers().await;
    let rate_limiting = check_rate_limiting().await;
    let input_validation = check_input_validation().await;

    let security_score = calculate_security_score(tls_configured, headers_configured, rate_limiting, input_validation);

    CheckResult {
        passed: security_score >= 95.0,
        status: format!("Security score: {:.1}%", security_score),
    }
}

async fn check_monitoring_requirements() -> CheckResult {
    // Verify monitoring and observability
    let metrics_enabled = check_metrics_collection().await;
    let logging_configured = check_logging_configuration().await;
    let alerting_setup = check_alerting_setup().await;
    let health_checks = check_health_endpoints().await;

    let monitoring_coverage = calculate_monitoring_coverage(metrics_enabled, logging_configured, alerting_setup, health_checks);

    CheckResult {
        passed: monitoring_coverage >= 90.0,
        status: format!("Monitoring coverage: {:.1}%", monitoring_coverage),
    }
}

async fn check_scalability_requirements() -> CheckResult {
    // Verify scalability characteristics
    let horizontal_scaling = check_horizontal_scaling().await;
    let load_balancing = check_load_balancing().await;
    let connection_pooling = check_connection_pooling().await;
    let caching_strategy = check_caching_strategy().await;

    let scalability_score = calculate_scalability_score(horizontal_scaling, load_balancing, connection_pooling, caching_strategy);

    CheckResult {
        passed: scalability_score >= 85.0,
        status: format!("Scalability score: {:.1}%", scalability_score),
    }
}

async fn measure_average_response_time() -> f64 {
    // Measure current average response time
    1.46 // ms - from benchmark data
}

async fn measure_throughput() -> f64 {
    // Measure current throughput
    324323.71 // RPS - from benchmark data
}

async fn measure_memory_efficiency() -> f64 {
    // Measure memory usage
    45.0 // MB - from benchmark data
}

fn calculate_performance_score(response_time: f64, throughput: f64, memory_usage: f64) -> f64 {
    // Calculate overall performance score
    let response_score = if response_time < 2.0 { 100.0 } else { 100.0 - (response_time - 2.0) * 10.0 };
    let throughput_score = if throughput > 300000.0 { 100.0 } else { (throughput / 300000.0) * 100.0 };
    let memory_score = if memory_usage < 50.0 { 100.0 } else { 100.0 - (memory_usage - 50.0) * 2.0 };

    (response_score + throughput_score + memory_score) / 3.0
}

async fn check_cpu_allocation() -> bool {
    // Check if CPU allocation is sufficient
    true // Simulated check
}

async fn check_memory_allocation() -> bool {
    // Check if memory allocation is sufficient
    true // Simulated check
}

async fn check_disk_allocation() -> bool {
    // Check if disk allocation is sufficient
    true // Simulated check
}

async fn check_network_allocation() -> bool {
    // Check if network allocation is sufficient
    true // Simulated check
}

async fn check_tls_configuration() -> bool {
    // Verify TLS is properly configured
    true // Simulated check
}

async fn check_security_headers() -> bool {
    // Verify security headers are configured
    true // Simulated check
}

async fn check_rate_limiting() -> bool {
    // Verify rate limiting is implemented
    true // Simulated check
}

async fn check_input_validation() -> bool {
    // Verify input validation is implemented
    true // Simulated check
}

fn calculate_security_score(tls: bool, headers: bool, rate_limiting: bool, validation: bool) -> f64 {
    let checks = [tls, headers, rate_limiting, validation];
    let passed = checks.iter().filter(|&&x| x).count();
    (passed as f64 / checks.len() as f64) * 100.0
}

async fn check_metrics_collection() -> bool {
    // Verify metrics collection is enabled
    true // Simulated check
}

async fn check_logging_configuration() -> bool {
    // Verify logging is properly configured
    true // Simulated check
}

async fn check_alerting_setup() -> bool {
    // Verify alerting is configured
    true // Simulated check
}

async fn check_health_endpoints() -> bool {
    // Verify health check endpoints exist
    true // Simulated check
}

fn calculate_monitoring_coverage(metrics: bool, logging: bool, alerting: bool, health: bool) -> f64 {
    let checks = [metrics, logging, alerting, health];
    let passed = checks.iter().filter(|&&x| x).count();
    (passed as f64 / checks.len() as f64) * 100.0
}

async fn check_horizontal_scaling() -> bool {
    // Verify horizontal scaling capability
    true // Simulated check
}

async fn check_load_balancing() -> bool {
    // Verify load balancing is configured
    true // Simulated check
}

async fn check_connection_pooling() -> bool {
    // Verify connection pooling is implemented
    true // Simulated check
}

async fn check_caching_strategy() -> bool {
    // Verify caching strategy is implemented
    true // Simulated check
}

fn calculate_scalability_score(horizontal: bool, load_balancing: bool, pooling: bool, caching: bool) -> f64 {
    let checks = [horizontal, load_balancing, pooling, caching];
    let passed = checks.iter().filter(|&&x| x).count();
    (passed as f64 / checks.len() as f64) * 100.0
}

fn current_timestamp() -> u64 {
    std::time::SystemTime::now()
        .duration_since(std::time::UNIX_EPOCH)
        .unwrap()
        .as_secs()
}

async fn deployment_strategy_handler(ctx: Context) {
    let strategy = ctx.get_route_param("strategy").await.unwrap_or_default();
    let deployment_result = execute_deployment_strategy(&strategy).await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(deployment_result)
        .await;
}

async fn execute_deployment_strategy(strategy: &str) -> String {
    match strategy {
        "blue-green" => execute_blue_green_deployment().await,
        "rolling" => execute_rolling_deployment().await,
        "canary" => execute_canary_deployment().await,
        "a-b-testing" => execute_ab_testing_deployment().await,
        _ => "Unknown deployment strategy".to_string(),
    }
}

async fn execute_blue_green_deployment() -> String {
    // Simulate blue-green deployment
    let steps = vec![
        "Preparing green environment",
        "Deploying to green environment",
        "Running health checks on green",
        "Switching traffic to green",
        "Monitoring green environment",
        "Decommissioning blue environment"
    ];

    let mut results = Vec::new();
    for (i, step) in steps.iter().enumerate() {
        tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
        results.push(format!("Step {}: {} - COMPLETED", i + 1, step));
    }

    format!(r#"{{
        "strategy": "blue-green",
        "status": "SUCCESS",
        "steps": [{}],
        "downtime": "0 seconds",
        "rollback_capability": "immediate"
    }}"#, results.join(", "))
}

async fn execute_rolling_deployment() -> String {
    // Simulate rolling deployment
    let instances = 5;
    let mut results = Vec::new();

    for instance in 1..=instances {
        tokio::time::sleep(tokio::time::Duration::from_millis(200)).await;
        results.push(format!("Instance {} updated successfully", instance));
    }

    format!(r#"{{
        "strategy": "rolling",
        "status": "SUCCESS",
        "instances_updated": {},
        "total_time_seconds": {:.1},
        "availability": "maintained throughout deployment"
    }}"#, instances, instances as f64 * 0.2)
}

async fn execute_canary_deployment() -> String {
    // Simulate canary deployment
    let phases = vec![
        ("Deploy to 5% of traffic", 5),
        ("Monitor canary performance", 5),
        ("Expand to 25% of traffic", 25),
        ("Monitor expanded canary", 25),
        ("Full deployment to 100%", 100),
    ];

    let mut results = Vec::new();
    for (phase, percentage) in phases {
        tokio::time::sleep(tokio::time::Duration::from_millis(150)).await;
        results.push(format!("{}: {}% traffic", phase, percentage));
    }

    format!(r#"{{
        "strategy": "canary",
        "status": "SUCCESS",
        "phases": [{}],
        "risk_mitigation": "gradual traffic increase",
        "monitoring": "continuous performance tracking"
    }}"#, results.join(", "))
}

async fn execute_ab_testing_deployment() -> String {
    // Simulate A/B testing deployment
    let test_duration = 7; // days
    let traffic_split = 50; // 50/50 split

    tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;

    format!(r#"{{
        "strategy": "a-b-testing",
        "status": "RUNNING",
        "traffic_split_percent": {},
        "test_duration_days": {},
        "metrics_tracking": "conversion rate, performance, user satisfaction",
        "decision_criteria": "statistical significance achieved"
    }}"#, traffic_split, test_duration)
}

#[tokio::main]
async fn main() {
    let server: Server = Server::new();
    server.host("0.0.0.0").await;
    server.port(60000).await;

    // Production-optimized configuration
    server.enable_nodelay().await;
    server.disable_linger().await;
    server.http_buffer_size(8192).await; // Larger buffer for production

    server.route("/production/readiness", production_readiness_handler).await;
    server.route("/deployment/{strategy}", deployment_strategy_handler).await;

    server.run().await.unwrap();
}

async fn load_testing_handler(ctx: Context) {
    let load_test_results = perform_production_load_test().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(load_test_results)
        .await;
}

async fn perform_production_load_test() -> String {
    // Simulate comprehensive load testing
    let test_scenarios = vec![
        ("Normal Load", 1000, 60),
        ("Peak Load", 5000, 300),
        ("Stress Test", 10000, 180),
        ("Spike Test", 15000, 60),
    ];

    let mut results = Vec::new();

    for (scenario, concurrent_users, duration_seconds) in test_scenarios {
        let test_result = simulate_load_test_scenario(scenario, concurrent_users, duration_seconds).await;
        results.push(test_result);
    }

    format!("Load Test Results: [{}]", results.join(", "))
}

async fn simulate_load_test_scenario(scenario: &str, users: u32, duration: u32) -> String {
    tokio::time::sleep(tokio::time::Duration::from_millis(duration as u64)).await;

    // Simulate test results based on benchmark data
    let success_rate = match scenario {
        "Normal Load" => 99.9,
        "Peak Load" => 99.5,
        "Stress Test" => 98.8,
        "Spike Test" => 97.2,
        _ => 95.0,
    };

    let avg_response_time = match scenario {
        "Normal Load" => 1.46,
        "Peak Load" => 2.1,
        "Stress Test" => 3.8,
        "Spike Test" => 5.2,
        _ => 10.0,
    };

    format!(r#"{{"scenario": "{}", "users": {}, "success_rate": {:.1}, "avg_response_ms": {:.1}}}"#,
            scenario, users, success_rate, avg_response_time)
}

async fn monitoring_setup_handler(ctx: Context) {
    let monitoring_config = setup_production_monitoring().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(monitoring_config)
        .await;
}

async fn setup_production_monitoring() -> String {
    // Configure comprehensive production monitoring
    let metrics_config = configure_metrics_collection().await;
    let logging_config = configure_production_logging().await;
    let alerting_config = configure_alerting_rules().await;
    let dashboard_config = configure_monitoring_dashboards().await;

    format!(r#"{{
        "metrics": {},
        "logging": {},
        "alerting": {},
        "dashboards": {}
    }}"#, metrics_config, logging_config, alerting_config, dashboard_config)
}

async fn configure_metrics_collection() -> String {
    // Configure metrics collection for production
    let metrics = vec![
        "request_rate",
        "response_time_percentiles",
        "error_rate",
        "memory_usage",
        "cpu_utilization",
        "connection_count",
        "throughput",
        "cache_hit_rate"
    ];

    format!(r#"{{"enabled": true, "metrics": [{}], "collection_interval": "10s"}}"#,
            metrics.iter().map(|m| format!(""{}"", m)).collect::<Vec<_>>().join(", "))
}

async fn configure_production_logging() -> String {
    // Configure structured logging for production
    format!(r#"{{
        "level": "info",
        "format": "json",
        "output": "stdout",
        "rotation": "daily",
        "retention": "30d",
        "structured": true
    }}"#)
}

async fn configure_alerting_rules() -> String {
    // Configure alerting rules for production issues
    let alert_rules = vec![
        ("High Error Rate", "error_rate > 1%", "critical"),
        ("High Response Time", "p95_response_time > 5s", "warning"),
        ("High Memory Usage", "memory_usage > 80%", "warning"),
        ("High CPU Usage", "cpu_usage > 90%", "critical"),
        ("Low Throughput", "request_rate < 1000", "warning"),
    ];

    let rules_json: Vec<String> = alert_rules.iter()
        .map(|(name, condition, severity)| {
            format!(r#"{{"name": "{}", "condition": "{}", "severity": "{}"}}"#, name, condition, severity)
        })
        .collect();

    format!("[{}]", rules_json.join(", "))
}

async fn configure_monitoring_dashboards() -> String {
    // Configure monitoring dashboards
    let dashboards = vec![
        "Application Performance",
        "Infrastructure Metrics",
        "Error Tracking",
        "User Experience",
        "Business Metrics"
    ];

    format!(r#"{{"dashboards": [{}], "refresh_interval": "30s"}}"#,
            dashboards.iter().map(|d| format!(""{}"", d)).collect::<Vec<_>>().join(", "))
}

async fn scaling_strategy_handler(ctx: Context) {
    let scaling_analysis = analyze_scaling_requirements().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(scaling_analysis)
        .await;
}

async fn analyze_scaling_requirements() -> String {
    // Analyze scaling requirements and strategies
    let current_capacity = analyze_current_capacity().await;
    let projected_growth = analyze_projected_growth().await;
    let scaling_recommendations = generate_scaling_recommendations(&current_capacity, &projected_growth).await;

    format!(r#"{{
        "current_capacity": {},
        "projected_growth": {},
        "scaling_recommendations": {}
    }}"#, current_capacity, projected_growth, scaling_recommendations)
}

async fn analyze_current_capacity() -> String {
    // Analyze current system capacity
    format!(r#"{{
        "max_concurrent_requests": 10000,
        "current_utilization_percent": 65,
        "bottlenecks": ["database_connections", "memory_allocation"],
        "headroom_percent": 35
    }}"#)
}

async fn analyze_projected_growth() -> String {
    // Analyze projected growth patterns
    format!(r#"{{
        "monthly_growth_percent": 15,
        "seasonal_peaks": ["black_friday", "holiday_season"],
        "expected_peak_multiplier": 3.5,
        "time_to_capacity": "4_months"
    }}"#)
}

async fn generate_scaling_recommendations(current: &str, projected: &str) -> String {
    // Generate scaling recommendations based on analysis
    format!(r#"{{
        "horizontal_scaling": "add_2_instances_per_month",
        "vertical_scaling": "increase_memory_by_50_percent",
        "database_scaling": "implement_read_replicas",
        "caching_strategy": "add_redis_cluster",
        "cdn_optimization": "implement_edge_caching"
    }}"#)
}

async fn disaster_recovery_handler(ctx: Context) {
    let dr_plan = execute_disaster_recovery_test().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(dr_plan)
        .await;
}

async fn execute_disaster_recovery_test() -> String {
    // Execute disaster recovery testing
    let recovery_scenarios = vec![
        "Primary datacenter failure",
        "Database corruption",
        "Network partition",
        "Application server crash",
        "Load balancer failure"
    ];

    let mut test_results = Vec::new();

    for scenario in recovery_scenarios {
        let result = test_recovery_scenario(scenario).await;
        test_results.push(result);
    }

    format!(r#"{{
        "disaster_recovery_test": "completed",
        "scenarios_tested": {},
        "results": [{}],
        "rto_target": "15_minutes",
        "rpo_target": "5_minutes"
    }}"#, test_results.len(), test_results.join(", "))
}

async fn test_recovery_scenario(scenario: &str) -> String {
    // Test specific disaster recovery scenario
    tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;

    let recovery_time = match scenario {
        "Primary datacenter failure" => 12.5,
        "Database corruption" => 8.2,
        "Network partition" => 3.1,
        "Application server crash" => 1.8,
        "Load balancer failure" => 2.3,
        _ => 15.0,
    };

    format!(r#"{{"scenario": "{}", "recovery_time_minutes": {:.1}, "status": "PASSED"}}"#,
            scenario, recovery_time)
}

async fn production_optimization_handler(ctx: Context) {
    let optimization_results = apply_production_optimizations().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(optimization_results)
        .await;
}

async fn apply_production_optimizations() -> String {
    // Apply various production optimizations
    let tcp_optimizations = apply_tcp_optimizations().await;
    let memory_optimizations = apply_memory_optimizations().await;
    let caching_optimizations = apply_caching_optimizations().await;
    let connection_optimizations = apply_connection_optimizations().await;

    format!(r#"{{
        "tcp_optimizations": {},
        "memory_optimizations": {},
        "caching_optimizations": {},
        "connection_optimizations": {}
    }}"#, tcp_optimizations, memory_optimizations, caching_optimizations, connection_optimizations)
}

async fn apply_tcp_optimizations() -> String {
    // Apply TCP-level optimizations for production
    format!(r#"{{
        "tcp_nodelay": "enabled",
        "tcp_keepalive": "enabled",
        "socket_linger": "disabled",
        "buffer_sizes": "optimized_for_throughput",
        "performance_improvement": "15_percent"
    }}"#)
}

async fn apply_memory_optimizations() -> String {
    // Apply memory optimizations for production
    format!(r#"{{
        "memory_pooling": "enabled",
        "garbage_collection": "optimized",
        "buffer_reuse": "enabled",
        "memory_mapping": "optimized",
        "memory_efficiency_improvement": "25_percent"
    }}"#)
}

async fn apply_caching_optimizations() -> String {
    // Apply caching optimizations for production
    format!(r#"{{
        "response_caching": "enabled",
        "static_asset_caching": "enabled",
        "database_query_caching": "enabled",
        "cdn_integration": "enabled",
        "cache_hit_rate": "85_percent"
    }}"#)
}

async fn apply_connection_optimizations() -> String {
    // Apply connection optimizations for production
    format!(r#"{{
        "connection_pooling": "enabled",
        "keep_alive_optimization": "enabled",
        "connection_multiplexing": "enabled",
        "load_balancing": "optimized",
        "connection_efficiency_improvement": "40_percent"
    }}"#)
}

async fn security_hardening_handler(ctx: Context) {
    let security_status = apply_security_hardening().await;

    ctx.set_response_status_code(200)
        .await
        .set_response_body(security_status)
        .await;
}

async fn apply_security_hardening() -> String {
    // Apply security hardening for production
    let tls_config = configure_tls_security().await;
    let header_security = configure_security_headers().await;
    let rate_limiting = configure_rate_limiting().await;
    let input_validation = configure_input_validation().await;

    format!(r#"{{
        "tls_configuration": {},
        "security_headers": {},
        "rate_limiting": {},
        "input_validation": {},
        "security_score": "98_percent"
    }}"#, tls_config, header_security, rate_limiting, input_validation)
}

async fn configure_tls_security() -> String {
    // Configure TLS security settings
    format!(r#"{{
        "tls_version": "1.3",
        "cipher_suites": "secure_only",
        "certificate_validation": "strict",
        "hsts_enabled": true
    }}"#)
}

async fn configure_security_headers() -> String {
    // Configure security headers
    format!(r#"{{
        "content_security_policy": "strict",
        "x_frame_options": "deny",
        "x_content_type_options": "nosniff",
        "referrer_policy": "strict_origin"
    }}"#)
}

async fn configure_rate_limiting() -> String {
    // Configure rate limiting
    format!(r#"{{
        "requests_per_minute": 1000,
        "burst_allowance": 100,
        "ip_based_limiting": true,
        "api_key_limiting": true
    }}"#)
}

async fn configure_input_validation() -> String {
    // Configure input validation
    format!(r#"{{
        "request_size_limit": "10MB",
        "content_type_validation": true,
        "parameter_sanitization": true,
        "sql_injection_protection": true
    }}"#)
}