use serde::{Deserialize, Serialize};
use std::time::{Duration, SystemTime, UNIX_EPOCH};
use thiserror::Error;
pub mod automation;
pub mod config;
pub mod health;
pub mod monitoring;
pub mod scaling;
#[derive(Debug, Error)]
pub enum DeploymentError {
#[error("Configuration error: {0}")]
Configuration(String),
#[error("Health check failed: {0}")]
HealthCheck(String),
#[error("Monitoring integration error: {0}")]
Monitoring(String),
#[error("Automation error: {0}")]
Automation(String),
#[error("Scaling error: {0}")]
Scaling(String),
#[error("Performance optimization error: {0}")]
Performance(String),
#[error("IO error: {0}")]
Io(#[from] std::io::Error),
#[error("Serialization error: {0}")]
Serialization(#[from] serde_json::Error),
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeploymentStatus {
Initializing,
Configuring,
HealthChecking,
Deploying,
Running,
Scaling,
Monitoring,
Failed(String),
Stopped,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentConfig {
pub environment: DeploymentEnvironment,
pub scaling: ScalingConfig,
pub monitoring: MonitoringConfig,
pub health_checks: HealthCheckConfig,
pub automation: AutomationConfig,
pub performance: PerformanceConfig,
pub created_at: u64,
pub updated_at: u64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeploymentEnvironment {
Development,
Staging,
Production,
Testing,
Custom(String),
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ScalingConfig {
pub min_instances: u32,
pub max_instances: u32,
pub cpu_threshold: f64,
pub memory_threshold: f64,
pub auto_scale: bool,
pub scale_up_cooldown: Duration,
pub scale_down_cooldown: Duration,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MonitoringConfig {
pub enabled: bool,
pub metrics_endpoint: String,
pub logs_endpoint: String,
pub alert_endpoints: Vec<String>,
pub retention_period: Duration,
pub sample_rate: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthCheckConfig {
pub enabled: bool,
pub interval: Duration,
pub timeout: Duration,
pub healthy_threshold: u32,
pub unhealthy_threshold: u32,
pub endpoints: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutomationConfig {
pub enabled: bool,
pub deployment_strategy: DeploymentStrategy,
pub rollback_enabled: bool,
pub rollback_threshold: f64,
pub ci_cd_integration: bool,
pub automated_tests: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeploymentStrategy {
BlueGreen,
RollingUpdate,
Canary,
Recreate,
Custom(String),
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceConfig {
pub optimization_level: OptimizationLevel,
pub cache_config: CacheConfig,
pub connection_pool: ConnectionPoolConfig,
pub memory_limits: MemoryLimits,
pub cpu_limits: CpuLimits,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationLevel {
Development,
Testing,
Production,
Maximum,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheConfig {
pub enabled: bool,
pub max_size: usize,
pub ttl: Duration,
pub eviction_policy: EvictionPolicy,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EvictionPolicy {
LRU,
LFU,
FIFO,
Random,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConnectionPoolConfig {
pub min_connections: u32,
pub max_connections: u32,
pub idle_timeout: Duration,
pub max_lifetime: Duration,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryLimits {
pub heap_size: Option<usize>,
pub stack_size: Option<usize>,
pub gc_threshold: Option<usize>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CpuLimits {
pub max_cores: Option<u32>,
pub cpu_quota: Option<f64>,
pub thread_pool_size: Option<u32>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentMetrics {
pub status: DeploymentStatus,
pub uptime: Duration,
pub cpu_usage: f64,
pub memory_usage: f64,
pub request_count: u64,
pub error_rate: f64,
pub response_time: Duration,
pub active_connections: u32,
pub timestamp: u64,
}
pub struct DeploymentManager {
config: DeploymentConfig,
status: DeploymentStatus,
metrics: DeploymentMetrics,
started_at: SystemTime,
}
impl DeploymentManager {
pub fn new(config: DeploymentConfig) -> Self {
let now = SystemTime::now();
Self {
config,
status: DeploymentStatus::Initializing,
metrics: DeploymentMetrics {
status: DeploymentStatus::Initializing,
uptime: Duration::from_secs(0),
cpu_usage: 0.0,
memory_usage: 0.0,
request_count: 0,
error_rate: 0.0,
response_time: Duration::from_millis(0),
active_connections: 0,
timestamp: now.duration_since(UNIX_EPOCH).unwrap().as_secs(),
},
started_at: now,
}
}
pub async fn initialize(&mut self) -> Result<(), DeploymentError> {
self.status = DeploymentStatus::Configuring;
self.validate_config().await?;
self.status = DeploymentStatus::HealthChecking;
self.setup_health_checks().await?;
self.setup_monitoring().await?;
self.optimize_performance().await?;
self.status = DeploymentStatus::Running;
Ok(())
}
async fn validate_config(&self) -> Result<(), DeploymentError> {
if self.config.scaling.min_instances > self.config.scaling.max_instances {
return Err(DeploymentError::Configuration(
"Minimum instances cannot exceed maximum instances".to_string(),
));
}
if self.config.scaling.cpu_threshold < 0.0 || self.config.scaling.cpu_threshold > 1.0 {
return Err(DeploymentError::Configuration(
"CPU threshold must be between 0.0 and 1.0".to_string(),
));
}
if self.config.scaling.memory_threshold < 0.0 || self.config.scaling.memory_threshold > 1.0
{
return Err(DeploymentError::Configuration(
"Memory threshold must be between 0.0 and 1.0".to_string(),
));
}
if self.config.health_checks.timeout > self.config.health_checks.interval {
return Err(DeploymentError::Configuration(
"Health check timeout cannot exceed interval".to_string(),
));
}
if self.config.monitoring.sample_rate < 0.0 || self.config.monitoring.sample_rate > 1.0 {
return Err(DeploymentError::Configuration(
"Monitoring sample rate must be between 0.0 and 1.0".to_string(),
));
}
Ok(())
}
async fn setup_health_checks(&self) -> Result<(), DeploymentError> {
if !self.config.health_checks.enabled {
return Ok(());
}
for endpoint in &self.config.health_checks.endpoints {
if endpoint.is_empty() {
return Err(DeploymentError::HealthCheck(
"Health check endpoint cannot be empty".to_string(),
));
}
}
Ok(())
}
async fn setup_monitoring(&self) -> Result<(), DeploymentError> {
if !self.config.monitoring.enabled {
return Ok(());
}
if self.config.monitoring.metrics_endpoint.is_empty() {
return Err(DeploymentError::Monitoring(
"Metrics endpoint cannot be empty".to_string(),
));
}
if self.config.monitoring.logs_endpoint.is_empty() {
return Err(DeploymentError::Monitoring(
"Logs endpoint cannot be empty".to_string(),
));
}
Ok(())
}
async fn optimize_performance(&self) -> Result<(), DeploymentError> {
match self.config.performance.optimization_level {
OptimizationLevel::Development => {
}
OptimizationLevel::Testing => {
}
OptimizationLevel::Production => {
self.optimize_for_production().await?;
}
OptimizationLevel::Maximum => {
self.optimize_for_production().await?;
self.apply_maximum_optimizations().await?;
}
}
Ok(())
}
async fn optimize_for_production(&self) -> Result<(), DeploymentError> {
if self.config.performance.connection_pool.min_connections
> self.config.performance.connection_pool.max_connections
{
return Err(DeploymentError::Performance(
"Minimum connections cannot exceed maximum connections".to_string(),
));
}
if self.config.performance.cache_config.enabled {
if self.config.performance.cache_config.max_size == 0 {
return Err(DeploymentError::Performance(
"Cache max size must be greater than 0".to_string(),
));
}
}
Ok(())
}
async fn apply_maximum_optimizations(&self) -> Result<(), DeploymentError> {
Ok(())
}
pub async fn deploy(&mut self) -> Result<(), DeploymentError> {
self.status = DeploymentStatus::Deploying;
match self.config.automation.deployment_strategy {
DeploymentStrategy::BlueGreen => {
self.deploy_blue_green().await?;
}
DeploymentStrategy::RollingUpdate => {
self.deploy_rolling_update().await?;
}
DeploymentStrategy::Canary => {
self.deploy_canary().await?;
}
DeploymentStrategy::Recreate => {
self.deploy_recreate().await?;
}
DeploymentStrategy::Custom(ref strategy) => {
self.deploy_custom(strategy).await?;
}
}
self.status = DeploymentStatus::Running;
Ok(())
}
async fn deploy_blue_green(&self) -> Result<(), DeploymentError> {
Ok(())
}
async fn deploy_rolling_update(&self) -> Result<(), DeploymentError> {
Ok(())
}
async fn deploy_canary(&self) -> Result<(), DeploymentError> {
Ok(())
}
async fn deploy_recreate(&self) -> Result<(), DeploymentError> {
Ok(())
}
async fn deploy_custom(&self, _strategy: &str) -> Result<(), DeploymentError> {
Ok(())
}
pub fn get_status(&self) -> &DeploymentStatus {
&self.status
}
pub fn get_metrics(&mut self) -> &DeploymentMetrics {
self.update_metrics();
&self.metrics
}
fn update_metrics(&mut self) {
let now = SystemTime::now();
self.metrics.uptime = now.duration_since(self.started_at).unwrap_or_default();
self.metrics.timestamp = now.duration_since(UNIX_EPOCH).unwrap().as_secs();
self.metrics.status = self.status.clone();
}
pub async fn scale(&mut self) -> Result<(), DeploymentError> {
if !self.config.scaling.auto_scale {
return Ok(());
}
self.status = DeploymentStatus::Scaling;
if self.metrics.cpu_usage > self.config.scaling.cpu_threshold
|| self.metrics.memory_usage > self.config.scaling.memory_threshold
{
self.scale_up().await?;
} else if self.metrics.cpu_usage < self.config.scaling.cpu_threshold * 0.5
&& self.metrics.memory_usage < self.config.scaling.memory_threshold * 0.5
{
self.scale_down().await?;
}
self.status = DeploymentStatus::Running;
Ok(())
}
async fn scale_up(&self) -> Result<(), DeploymentError> {
Ok(())
}
async fn scale_down(&self) -> Result<(), DeploymentError> {
Ok(())
}
pub async fn health_check(&mut self) -> Result<bool, DeploymentError> {
if !self.config.health_checks.enabled {
return Ok(true);
}
for endpoint in &self.config.health_checks.endpoints {
if !self.check_endpoint_health(endpoint).await? {
return Ok(false);
}
}
Ok(true)
}
async fn check_endpoint_health(&self, _endpoint: &str) -> Result<bool, DeploymentError> {
Ok(true)
}
pub async fn stop(&mut self) -> Result<(), DeploymentError> {
self.status = DeploymentStatus::Stopped;
Ok(())
}
pub async fn rollback(&mut self) -> Result<(), DeploymentError> {
if !self.config.automation.rollback_enabled {
return Err(DeploymentError::Automation(
"Rollback is not enabled".to_string(),
));
}
self.status = DeploymentStatus::Running;
Ok(())
}
}
impl Default for DeploymentConfig {
fn default() -> Self {
let now = SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap()
.as_secs();
Self {
environment: DeploymentEnvironment::Development,
scaling: ScalingConfig {
min_instances: 1,
max_instances: 10,
cpu_threshold: 0.75,
memory_threshold: 0.75,
auto_scale: true,
scale_up_cooldown: Duration::from_secs(300),
scale_down_cooldown: Duration::from_secs(600),
},
monitoring: MonitoringConfig {
enabled: true,
metrics_endpoint: "http://localhost:9090/metrics".to_string(),
logs_endpoint: "http://localhost:3100".to_string(),
alert_endpoints: vec!["http://localhost:9093".to_string()],
retention_period: Duration::from_secs(30 * 24 * 3600), sample_rate: 1.0,
},
health_checks: HealthCheckConfig {
enabled: true,
interval: Duration::from_secs(30),
timeout: Duration::from_secs(10),
healthy_threshold: 3,
unhealthy_threshold: 3,
endpoints: vec!["/health".to_string(), "/ready".to_string()],
},
automation: AutomationConfig {
enabled: true,
deployment_strategy: DeploymentStrategy::RollingUpdate,
rollback_enabled: true,
rollback_threshold: 0.95,
ci_cd_integration: true,
automated_tests: true,
},
performance: PerformanceConfig {
optimization_level: OptimizationLevel::Production,
cache_config: CacheConfig {
enabled: true,
max_size: 10000,
ttl: Duration::from_secs(3600),
eviction_policy: EvictionPolicy::LRU,
},
connection_pool: ConnectionPoolConfig {
min_connections: 5,
max_connections: 100,
idle_timeout: Duration::from_secs(600),
max_lifetime: Duration::from_secs(3600),
},
memory_limits: MemoryLimits {
heap_size: Some(2 * 1024 * 1024 * 1024), stack_size: Some(8 * 1024 * 1024), gc_threshold: Some(1024 * 1024 * 1024), },
cpu_limits: CpuLimits {
max_cores: None,
cpu_quota: Some(0.8),
thread_pool_size: Some(100),
},
},
created_at: now,
updated_at: now,
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_deployment_manager_creation() {
let config = DeploymentConfig::default();
let manager = DeploymentManager::new(config);
assert!(matches!(manager.status, DeploymentStatus::Initializing));
}
#[tokio::test]
async fn test_config_validation() {
let mut config = DeploymentConfig::default();
config.scaling.min_instances = 10;
config.scaling.max_instances = 5;
let mut manager = DeploymentManager::new(config);
let result = manager.initialize().await;
assert!(result.is_err());
assert!(matches!(
result.unwrap_err(),
DeploymentError::Configuration(_)
));
}
#[tokio::test]
async fn test_deployment_initialization() {
let config = DeploymentConfig::default();
let mut manager = DeploymentManager::new(config);
let result = manager.initialize().await;
assert!(result.is_ok());
assert!(matches!(manager.status, DeploymentStatus::Running));
}
#[tokio::test]
async fn test_health_check() {
let config = DeploymentConfig::default();
let mut manager = DeploymentManager::new(config);
let _ = manager.initialize().await;
let result = manager.health_check().await;
assert!(result.is_ok());
assert!(result.unwrap());
}
#[tokio::test]
async fn test_deployment_metrics() {
let config = DeploymentConfig::default();
let mut manager = DeploymentManager::new(config);
let _ = manager.initialize().await;
let metrics = manager.get_metrics();
assert!(matches!(metrics.status, DeploymentStatus::Running));
assert!(metrics.timestamp > 0);
}
}