use super::types::{
CloudError, CloudProvider, HealthStatus, ObjectMetadata, StorageOperationResult, StorageTier,
};
#[async_trait::async_trait]
pub trait CloudStorageProvider: Send + Sync {
fn provider(&self) -> CloudProvider;
async fn upload(
&self,
key: &str,
data: &[u8],
tier: StorageTier,
) -> Result<StorageOperationResult, CloudError>;
async fn download(&self, key: &str) -> Result<(Vec<u8>, StorageOperationResult), CloudError>;
async fn delete(&self, key: &str) -> Result<StorageOperationResult, CloudError>;
async fn list(&self, prefix: &str) -> Result<Vec<String>, CloudError>;
async fn exists(&self, key: &str) -> Result<bool, CloudError>;
async fn get_metadata(&self, key: &str) -> Result<ObjectMetadata, CloudError>;
async fn initiate_multipart(&self, key: &str) -> Result<String, CloudError>;
async fn upload_part(
&self,
key: &str,
upload_id: &str,
part_number: u32,
data: &[u8],
) -> Result<String, CloudError>;
async fn complete_multipart(
&self,
key: &str,
upload_id: &str,
parts: &[(u32, String)],
) -> Result<StorageOperationResult, CloudError>;
async fn health_check(&self) -> Result<HealthStatus, CloudError>;
}
pub(super) fn md5_hash(data: &[u8]) -> u64 {
let mut hash: u64 = 0;
for (i, &byte) in data.iter().enumerate() {
hash = hash.wrapping_add((byte as u64).wrapping_mul(31_u64.pow((i % 8) as u32)));
}
hash
}
#[cfg(test)]
mod tests {
use super::super::{
AzureBlobBackend, CloudOperationProfiler, CloudStorageConfig, ClusterMetrics,
CostOptimization, CostPrediction, CostTrainingData, DisasterRecoveryConfig,
DisasterRecoveryManager, ElasticScalingConfig, ElasticScalingManager, ElasticScalingStatus,
GCSBackend, GpuCompressor, MLCostOptimizer, NodeInstance, OperationMetrics, S3Backend,
ScalingDecision, Trend,
};
use super::*;
use std::sync::Arc;
use std::time::{Duration, Instant, SystemTime, UNIX_EPOCH};
#[tokio::test]
async fn test_s3_backend_upload_download() {
let config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = S3Backend::new(config);
let key = "test/data.bin";
let data = b"Hello, S3!";
let result = backend.upload(key, data, StorageTier::Hot).await;
assert!(result.is_ok());
let upload_result = result.unwrap();
assert!(upload_result.success);
assert_eq!(upload_result.bytes_transferred, data.len() as u64);
let result = backend.download(key).await;
assert!(result.is_ok());
let (downloaded_data, download_result) = result.unwrap();
assert_eq!(downloaded_data, data);
assert!(download_result.success);
let exists = backend.exists(key).await.unwrap();
assert!(exists);
let result = backend.delete(key).await;
assert!(result.is_ok());
let exists = backend.exists(key).await.unwrap();
assert!(!exists);
}
#[tokio::test]
async fn test_s3_backend_list() {
let config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = S3Backend::new(config);
backend
.upload("prefix/file1.bin", b"data1", StorageTier::Hot)
.await
.unwrap();
backend
.upload("prefix/file2.bin", b"data2", StorageTier::Hot)
.await
.unwrap();
backend
.upload("other/file3.bin", b"data3", StorageTier::Hot)
.await
.unwrap();
let keys = backend.list("prefix/").await.unwrap();
assert_eq!(keys.len(), 2);
assert!(keys.contains(&"prefix/file1.bin".to_string()));
assert!(keys.contains(&"prefix/file2.bin".to_string()));
}
#[tokio::test]
async fn test_gcs_backend() {
let config = CloudStorageConfig {
provider: CloudProvider::GCP,
region: "us-central1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "project-id".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = GCSBackend::new(config);
let key = "test/gcs-data.bin";
let data = b"Hello, GCS!";
backend.upload(key, data, StorageTier::Hot).await.unwrap();
let (downloaded, _) = backend.download(key).await.unwrap();
assert_eq!(downloaded, data);
let health = backend.health_check().await.unwrap();
assert!(health.healthy);
}
#[tokio::test]
async fn test_azure_backend() {
let config = CloudStorageConfig {
provider: CloudProvider::Azure,
region: "eastus".to_string(),
bucket: "test-container".to_string(),
access_key: "account-name".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = AzureBlobBackend::new(config);
let key = "test/azure-data.bin";
let data = b"Hello, Azure!";
backend.upload(key, data, StorageTier::Hot).await.unwrap();
let (downloaded, _) = backend.download(key).await.unwrap();
assert_eq!(downloaded, data);
let metadata = backend.get_metadata(key).await.unwrap();
assert_eq!(metadata.size, data.len() as u64);
}
#[tokio::test]
async fn test_disaster_recovery_manager() {
let config = DisasterRecoveryConfig::default();
let mut dr_manager = DisasterRecoveryManager::new(config);
let s3_config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "primary-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
dr_manager.register_provider(CloudProvider::AWS, Arc::new(S3Backend::new(s3_config)));
let gcs_config = CloudStorageConfig {
provider: CloudProvider::GCP,
region: "us-central1".to_string(),
bucket: "secondary-bucket".to_string(),
access_key: "project-id".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
dr_manager.register_provider(CloudProvider::GCP, Arc::new(GCSBackend::new(gcs_config)));
let health = dr_manager.health_check_all().await;
assert!(health.contains_key(&CloudProvider::AWS));
assert!(health.contains_key(&CloudProvider::GCP));
let primary = dr_manager.get_primary().await;
assert_eq!(primary, CloudProvider::AWS);
dr_manager
.perform_failover(CloudProvider::GCP)
.await
.unwrap();
let new_primary = dr_manager.get_primary().await;
assert_eq!(new_primary, CloudProvider::GCP);
let status = dr_manager.get_status().await;
assert_eq!(status.current_primary, CloudProvider::GCP);
assert!(!status.recent_events.is_empty());
}
#[tokio::test]
async fn test_elastic_scaling_manager() {
let config = ElasticScalingConfig::default();
let manager = ElasticScalingManager::new(config);
{
let mut nodes = manager.current_nodes.write().await;
for i in 0..3 {
nodes.push(NodeInstance {
instance_id: format!("i-{}", i),
node_id: i as u64 + 1,
instance_type: "medium".to_string(),
is_spot: i == 0,
launch_time: SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap()
.as_secs(),
cpu_utilization: 0.5,
memory_utilization: 0.4,
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
});
}
}
for i in 0..100 {
manager
.update_metrics(ClusterMetrics {
timestamp: i as u64,
avg_cpu_utilization: 0.85,
avg_memory_utilization: 0.75,
queries_per_second: 1000.0,
node_count: 3,
error_rate: 0.01,
})
.await;
}
*manager.last_scaling_time.write().await = Instant::now() - Duration::from_secs(400);
let decision = manager.evaluate_scaling().await;
match decision {
ScalingDecision::ScaleUp { count, .. } => {
assert!(count >= 1);
}
_ => panic!("Expected scale up decision"),
}
manager.execute_scaling(decision.clone()).await.unwrap();
let nodes = manager.current_nodes.read().await;
assert!(nodes.len() > 3);
}
#[tokio::test]
async fn test_scaling_prediction() {
let config = ElasticScalingConfig::default();
let manager = ElasticScalingManager::new(config);
for i in 0..300 {
let cpu = 0.3 + (i as f64 * 0.01);
manager
.update_metrics(ClusterMetrics {
timestamp: i as u64,
avg_cpu_utilization: cpu.min(0.95),
avg_memory_utilization: 0.5,
queries_per_second: 1000.0,
node_count: 3,
error_rate: 0.01,
})
.await;
}
let prediction = manager.predict_scaling_needs(30).await;
assert!(prediction.predicted_cpu > 0.0);
assert!(prediction.confidence > 0.0);
assert!(matches!(
prediction.trend,
Trend::Increasing | Trend::Stable
));
}
#[tokio::test]
async fn test_cost_optimization() {
let config = ElasticScalingConfig::default();
let manager = ElasticScalingManager::new(config);
{
let mut nodes = manager.current_nodes.write().await;
for i in 0..5 {
nodes.push(NodeInstance {
instance_id: format!("i-{}", i),
node_id: i as u64 + 1,
instance_type: "medium".to_string(),
is_spot: i < 1,
launch_time: SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap()
.as_secs(),
cpu_utilization: 0.3,
memory_utilization: 0.3,
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
});
}
}
manager
.update_metrics(ClusterMetrics {
timestamp: 0,
avg_cpu_utilization: 0.2,
avg_memory_utilization: 0.2,
queries_per_second: 100.0,
node_count: 5,
error_rate: 0.01,
})
.await;
let optimization = manager.get_cost_optimization().await;
assert!(optimization.current_hourly_cost > 0.0);
assert!(optimization.potential_monthly_savings > 0.0);
assert!(!optimization.recommendations.is_empty());
assert_eq!(optimization.on_demand_count, 4);
assert_eq!(optimization.spot_count, 1);
}
#[tokio::test]
async fn test_multipart_upload() {
let config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = S3Backend::new(config);
let key = "large-file.bin";
let upload_id = backend.initiate_multipart(key).await.unwrap();
assert!(!upload_id.is_empty());
let mut parts = Vec::new();
for i in 1..=3 {
let data = format!("Part {} data", i);
let etag = backend
.upload_part(key, &upload_id, i, data.as_bytes())
.await
.unwrap();
parts.push((i, etag));
}
let result = backend
.complete_multipart(key, &upload_id, &parts)
.await
.unwrap();
assert!(result.success);
}
#[tokio::test]
async fn test_health_check() {
let config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = S3Backend::new(config);
let health = backend.health_check().await.unwrap();
assert!(health.healthy);
assert!(health.latency_ms < 100);
assert_eq!(health.error_rate, 0.0);
}
#[tokio::test]
async fn test_scaling_status() {
let config = ElasticScalingConfig::default();
let manager = ElasticScalingManager::new(config);
let status = manager.get_status().await;
assert_eq!(status.current_node_count, 0);
assert_eq!(status.min_nodes, 3);
assert_eq!(status.max_nodes, 100);
assert!(status.recent_events.is_empty());
}
#[tokio::test]
async fn test_scale_down_decision() {
let config = ElasticScalingConfig {
min_nodes: 2,
..Default::default()
};
let manager = ElasticScalingManager::new(config);
{
let mut nodes = manager.current_nodes.write().await;
for i in 0..5 {
nodes.push(NodeInstance {
instance_id: format!("i-{}", i),
node_id: i as u64 + 1,
instance_type: "medium".to_string(),
is_spot: false,
launch_time: i as u64 * 100,
cpu_utilization: 0.1,
memory_utilization: 0.1,
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
});
}
}
for i in 0..100 {
manager
.update_metrics(ClusterMetrics {
timestamp: i as u64,
avg_cpu_utilization: 0.15,
avg_memory_utilization: 0.15,
queries_per_second: 100.0,
node_count: 5,
error_rate: 0.01,
})
.await;
}
*manager.last_scaling_time.write().await = Instant::now() - Duration::from_secs(400);
let decision = manager.evaluate_scaling().await;
match decision {
ScalingDecision::ScaleDown { count, .. } => {
assert!(count >= 1);
}
_ => panic!("Expected scale down decision"),
}
}
#[tokio::test]
async fn test_dr_status() {
let config = DisasterRecoveryConfig::default();
let mut dr_manager = DisasterRecoveryManager::new(config);
let s3_config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
dr_manager.register_provider(CloudProvider::AWS, Arc::new(S3Backend::new(s3_config)));
let status = dr_manager.get_status().await;
assert_eq!(status.current_primary, CloudProvider::AWS);
assert_eq!(status.rto_seconds, 300);
assert_eq!(status.rpo_seconds, 60);
assert!(status.auto_failover_enabled);
}
#[test]
fn test_cloud_provider_display() {
assert_eq!(format!("{}", CloudProvider::AWS), "AWS");
assert_eq!(format!("{}", CloudProvider::GCP), "GCP");
assert_eq!(format!("{}", CloudProvider::Azure), "Azure");
assert_eq!(format!("{}", CloudProvider::OnPremises), "OnPremises");
}
#[test]
fn test_storage_tier() {
let tier = StorageTier::Hot;
let serialized = serde_json::to_string(&tier).unwrap();
let deserialized: StorageTier = serde_json::from_str(&serialized).unwrap();
assert_eq!(tier, deserialized);
}
#[test]
fn test_cloud_operation_profiler() {
let profiler = CloudOperationProfiler::new();
profiler.start_operation("upload");
profiler.stop_operation("upload", 1024, true);
profiler.start_operation("download");
profiler.stop_operation("download", 2048, true);
let prometheus_output = profiler.export_prometheus();
assert!(!prometheus_output.is_empty());
}
#[tokio::test]
async fn test_gpu_compressor() {
let mut compressor = GpuCompressor::new();
let test_data = b"Hello, World! This is test data for compression.";
let compressed = compressor.compress(test_data).await.unwrap();
assert!(!compressed.is_empty());
let decompressed = compressor.decompress(&compressed).await.unwrap();
assert_eq!(decompressed, test_data);
let _gpu_enabled = compressor.is_gpu_enabled();
}
#[tokio::test]
async fn test_s3_metrics_summary() {
let config = CloudStorageConfig {
provider: CloudProvider::AWS,
region: "us-east-1".to_string(),
bucket: "test-bucket".to_string(),
access_key: "test-key".to_string(),
secret_key: "test-secret".to_string(),
endpoint: None,
default_tier: StorageTier::Hot,
encryption_enabled: true,
versioning_enabled: true,
lifecycle_rules: vec![],
};
let backend = S3Backend::new(config);
backend
.upload("test1.bin", b"data1", StorageTier::Hot)
.await
.unwrap();
backend
.upload("test2.bin", b"data2", StorageTier::Hot)
.await
.unwrap();
backend.download("test1.bin").await.unwrap();
let summary = backend.get_metrics_summary();
assert_eq!(summary.total_uploads, 2);
assert_eq!(summary.total_downloads, 1);
assert!(summary.total_upload_bytes > 0);
}
#[tokio::test]
async fn test_ml_cost_optimizer_basic() {
let optimizer = MLCostOptimizer::new();
for i in 0..150 {
optimizer
.add_training_data(CostTrainingData {
instance_type: "medium".to_string(),
cpu_utilization: 0.5 + (i as f64 * 0.001),
memory_utilization: 0.4 + (i as f64 * 0.001),
queries_per_second: 1000.0,
actual_cost: 0.10,
is_spot: i % 2 == 0,
timestamp: i as u64,
})
.await;
}
let metrics = ClusterMetrics {
timestamp: 0,
avg_cpu_utilization: 0.55,
avg_memory_utilization: 0.45,
queries_per_second: 1000.0,
node_count: 3,
error_rate: 0.01,
};
let config = ElasticScalingConfig::default();
let prediction = optimizer.predict_cost(&metrics, &config).await;
assert!(prediction.confidence > 0.0);
assert!(prediction.predicted_hourly_cost > 0.0);
assert!(!prediction.recommended_instance_type.is_empty());
assert!(prediction.recommended_spot_ratio > 0.0);
}
#[tokio::test]
async fn test_ml_cost_optimizer_training() {
let mut optimizer = MLCostOptimizer::new();
for i in 0..100 {
optimizer
.add_training_data(CostTrainingData {
instance_type: "small".to_string(),
cpu_utilization: 0.3,
memory_utilization: 0.3,
queries_per_second: 500.0,
actual_cost: 0.05,
is_spot: true,
timestamp: i as u64,
})
.await;
}
let result = optimizer.train_model().await;
assert!(result.is_ok());
}
#[tokio::test]
async fn test_ml_cost_optimizer_insufficient_data() {
let mut optimizer = MLCostOptimizer::new();
for i in 0..50 {
optimizer
.add_training_data(CostTrainingData {
instance_type: "small".to_string(),
cpu_utilization: 0.3,
memory_utilization: 0.3,
queries_per_second: 500.0,
actual_cost: 0.05,
is_spot: true,
timestamp: i as u64,
})
.await;
}
let result = optimizer.train_model().await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_ml_cost_recommendations() {
let optimizer = MLCostOptimizer::new();
for i in 0..1500 {
optimizer
.add_training_data(CostTrainingData {
instance_type: "large".to_string(),
cpu_utilization: 0.25,
memory_utilization: 0.25,
queries_per_second: 500.0,
actual_cost: 0.20,
is_spot: false,
timestamp: i as u64,
})
.await;
}
let status = ElasticScalingStatus {
current_node_count: 5,
min_nodes: 3,
max_nodes: 100,
spot_count: 0,
on_demand_count: 5,
target_cpu: 0.70,
target_memory: 0.75,
cooldown_seconds: 300,
recent_events: vec![],
};
let cost_opt = CostOptimization {
current_hourly_cost: 1.0,
current_monthly_cost: 720.0,
on_demand_count: 5,
spot_count: 0,
potential_monthly_savings: 300.0,
recommendations: vec![],
};
let recommendations = optimizer.get_recommendations(&status, &cost_opt).await;
assert!(!recommendations.is_empty());
assert!(recommendations.iter().any(|r| r.ml_based));
let spot_rec = recommendations
.iter()
.find(|r| r.action.contains("spot instance"));
assert!(spot_rec.is_some());
let downsize_rec = recommendations
.iter()
.find(|r| r.action.contains("Downsize"));
assert!(downsize_rec.is_some());
}
#[tokio::test]
async fn test_cost_prediction_with_variance() {
let optimizer = MLCostOptimizer::new();
for i in 0..100 {
let cost_variance = if i % 2 == 0 { 0.05 } else { 0.15 };
optimizer
.add_training_data(CostTrainingData {
instance_type: "medium".to_string(),
cpu_utilization: 0.5,
memory_utilization: 0.5,
queries_per_second: 1000.0,
actual_cost: cost_variance,
is_spot: false,
timestamp: i as u64,
})
.await;
}
let metrics = ClusterMetrics {
timestamp: 0,
avg_cpu_utilization: 0.5,
avg_memory_utilization: 0.5,
queries_per_second: 1000.0,
node_count: 3,
error_rate: 0.01,
};
let config = ElasticScalingConfig::default();
let prediction = optimizer.predict_cost(&metrics, &config).await;
assert!(prediction.confidence < 1.0);
assert!(prediction.recommended_spot_ratio <= config.max_spot_ratio);
}
#[test]
fn test_operation_metrics_creation() {
let metrics = OperationMetrics {
operation_name: "s3_upload".to_string(),
total_count: 100,
success_count: 98,
failure_count: 2,
total_bytes: 1024000,
total_duration_ms: 5000,
avg_latency_ms: 50.0,
p95_latency_ms: 75.0,
p99_latency_ms: 100.0,
compression_ratio: 0.7,
gpu_accelerated: true,
};
assert_eq!(metrics.operation_name, "s3_upload");
assert_eq!(metrics.success_count, 98);
assert!(metrics.gpu_accelerated);
assert_eq!(metrics.compression_ratio, 0.7);
}
#[test]
fn test_cost_training_data_serialization() {
let data = CostTrainingData {
instance_type: "large".to_string(),
cpu_utilization: 0.8,
memory_utilization: 0.7,
queries_per_second: 2000.0,
actual_cost: 0.25,
is_spot: true,
timestamp: 123456,
};
let serialized = serde_json::to_string(&data).unwrap();
let deserialized: CostTrainingData = serde_json::from_str(&serialized).unwrap();
assert_eq!(data.instance_type, deserialized.instance_type);
assert_eq!(data.cpu_utilization, deserialized.cpu_utilization);
assert_eq!(data.is_spot, deserialized.is_spot);
}
#[test]
fn test_cost_prediction_serialization() {
let prediction = CostPrediction {
predicted_hourly_cost: 0.15,
confidence: 0.85,
recommended_instance_type: "medium".to_string(),
recommended_spot_ratio: 0.5,
estimated_monthly_savings: 100.0,
timestamp: 123456,
};
let serialized = serde_json::to_string(&prediction).unwrap();
let deserialized: CostPrediction = serde_json::from_str(&serialized).unwrap();
assert_eq!(prediction.confidence, deserialized.confidence);
assert_eq!(
prediction.recommended_instance_type,
deserialized.recommended_instance_type
);
}
#[tokio::test]
async fn test_gpu_compressor_large_data() {
let mut compressor = GpuCompressor::new();
let large_data: Vec<u8> = (0..10000).map(|i| (i % 256) as u8).collect();
let compressed = compressor.compress(&large_data).await.unwrap();
assert!(!compressed.is_empty());
assert!(compressed.len() < large_data.len());
let decompressed = compressor.decompress(&compressed).await.unwrap();
assert_eq!(decompressed, large_data);
}
#[tokio::test]
async fn test_compression_ratio_calculation() {
let mut compressor = GpuCompressor::new();
let test_data = b"AAAAAAAAAA".repeat(100);
let compressed = compressor.compress(&test_data).await.unwrap();
let ratio = compressed.len() as f64 / test_data.len() as f64;
assert!(ratio < 0.5);
}
}