use axum::{
extract::{Query, State},
http::StatusCode,
response::{IntoResponse, Json},
};
use serde::{Deserialize, Serialize};
use std::time::SystemTime;
use crate::AppState;
#[derive(Debug, Deserialize)]
pub struct AnomalyQuery {
pub anomaly_type: Option<String>,
pub severity: Option<String>,
pub limit: Option<usize>,
}
#[derive(Debug, Deserialize)]
pub struct ProfilingQuery {
pub pprof: Option<bool>,
}
#[derive(Debug, Serialize)]
pub struct ProfilingResponse {
pub timestamp: u64,
pub cpu: CpuStatsJson,
pub memory: MemoryStatsJson,
pub io: IoStatsJson,
pub pprof_available: bool,
}
#[derive(Debug, Serialize)]
pub struct CpuStatsJson {
pub utilization_percent: f64,
pub total_time_seconds: f64,
pub user_time_seconds: f64,
pub system_time_seconds: f64,
}
#[derive(Debug, Serialize)]
pub struct MemoryStatsJson {
pub rss_bytes: u64,
pub virtual_bytes: u64,
pub peak_rss_bytes: u64,
}
#[derive(Debug, Serialize)]
pub struct IoStatsJson {
pub read_operations: u64,
pub write_operations: u64,
pub read_bytes: u64,
pub write_bytes: u64,
pub avg_read_latency_ms: f64,
pub avg_write_latency_ms: f64,
}
#[derive(Debug, Serialize)]
pub struct BusinessMetricsResponse {
pub timestamp: u64,
pub storage_utilization: StorageUtilizationJson,
pub data_transfer: DataTransferJson,
pub request_patterns: RequestPatternsJson,
pub user_activity: UserActivityJson,
pub cost_estimation: CostEstimationJson,
}
#[derive(Debug, Serialize)]
pub struct StorageUtilizationJson {
pub total_buckets: u64,
pub total_objects: u64,
pub total_size_bytes: u64,
pub growth_rate_percent: f64,
}
#[derive(Debug, Serialize)]
pub struct DataTransferJson {
pub upload_bytes_per_second: f64,
pub download_bytes_per_second: f64,
pub bandwidth_utilization_percent: f64,
pub peak_upload_rate: f64,
pub peak_download_rate: f64,
}
#[derive(Debug, Serialize)]
pub struct RequestPatternsJson {
pub total_requests: u64,
pub success_rate_percent: f64,
pub error_rate_percent: f64,
pub p50_latency_ms: f64,
pub p95_latency_ms: f64,
pub p99_latency_ms: f64,
}
#[derive(Debug, Serialize)]
pub struct UserActivityJson {
pub active_users: u64,
pub engagement_score: f64,
pub top_users: Vec<String>,
}
#[derive(Debug, Serialize)]
pub struct CostEstimationJson {
pub storage_cost_usd: f64,
pub bandwidth_cost_usd: f64,
pub request_cost_usd: f64,
pub total_cost_usd: f64,
}
#[derive(Debug, Serialize)]
pub struct AnomalyResponse {
pub timestamp: u64,
pub anomalies: Vec<AnomalyJson>,
pub total_count: usize,
}
#[derive(Debug, Serialize)]
pub struct AnomalyJson {
pub anomaly_type: String,
pub severity: String,
pub value: f64,
pub threshold: f64,
pub message: String,
pub timestamp: u64,
}
#[derive(Debug, Serialize)]
pub struct ResourceStatsResponse {
pub timestamp: u64,
pub cpu_utilization_percent: f64,
pub memory_utilization_percent: f64,
pub active_threads: usize,
pub active_requests: usize,
pub pending_requests: usize,
pub total_requests: u64,
pub successful_requests: u64,
pub failed_requests: u64,
pub success_rate_percent: f64,
pub avg_latency_ms: f64,
pub load_shedding_active: bool,
}
#[derive(Debug, Serialize)]
pub struct HealthCheckResponse {
pub status: String,
pub timestamp: u64,
pub profiling: ProfilingResponse,
pub resources: ResourceStatsResponse,
pub anomalies_count: usize,
pub critical_anomalies_count: usize,
}
pub async fn get_profiling_data(
State(_state): State<AppState>,
Query(query): Query<ProfilingQuery>,
) -> impl IntoResponse {
let timestamp = SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let response = ProfilingResponse {
timestamp,
cpu: CpuStatsJson {
utilization_percent: 0.0,
total_time_seconds: 0.0,
user_time_seconds: 0.0,
system_time_seconds: 0.0,
},
memory: MemoryStatsJson {
rss_bytes: 0,
virtual_bytes: 0,
peak_rss_bytes: 0,
},
io: IoStatsJson {
read_operations: 0,
write_operations: 0,
read_bytes: 0,
write_bytes: 0,
avg_read_latency_ms: 0.0,
avg_write_latency_ms: 0.0,
},
pprof_available: query.pprof.unwrap_or(false),
};
(StatusCode::OK, Json(response))
}
pub async fn get_business_metrics(State(_state): State<AppState>) -> impl IntoResponse {
let timestamp = SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let response = BusinessMetricsResponse {
timestamp,
storage_utilization: StorageUtilizationJson {
total_buckets: 0,
total_objects: 0,
total_size_bytes: 0,
growth_rate_percent: 0.0,
},
data_transfer: DataTransferJson {
upload_bytes_per_second: 0.0,
download_bytes_per_second: 0.0,
bandwidth_utilization_percent: 0.0,
peak_upload_rate: 0.0,
peak_download_rate: 0.0,
},
request_patterns: RequestPatternsJson {
total_requests: 0,
success_rate_percent: 0.0,
error_rate_percent: 0.0,
p50_latency_ms: 0.0,
p95_latency_ms: 0.0,
p99_latency_ms: 0.0,
},
user_activity: UserActivityJson {
active_users: 0,
engagement_score: 0.0,
top_users: Vec::new(),
},
cost_estimation: CostEstimationJson {
storage_cost_usd: 0.0,
bandwidth_cost_usd: 0.0,
request_cost_usd: 0.0,
total_cost_usd: 0.0,
},
};
(StatusCode::OK, Json(response))
}
pub async fn get_anomalies(
State(_state): State<AppState>,
Query(_query): Query<AnomalyQuery>,
) -> impl IntoResponse {
let timestamp = SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let response = AnomalyResponse {
timestamp,
anomalies: Vec::new(),
total_count: 0,
};
(StatusCode::OK, Json(response))
}
pub async fn get_resource_stats(State(_state): State<AppState>) -> impl IntoResponse {
let timestamp = SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let response = ResourceStatsResponse {
timestamp,
cpu_utilization_percent: 0.0,
memory_utilization_percent: 0.0,
active_threads: 0,
active_requests: 0,
pending_requests: 0,
total_requests: 0,
successful_requests: 0,
failed_requests: 0,
success_rate_percent: 0.0,
avg_latency_ms: 0.0,
load_shedding_active: false,
};
(StatusCode::OK, Json(response))
}
pub async fn get_comprehensive_health(State(_state): State<AppState>) -> impl IntoResponse {
let timestamp = SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let profiling = ProfilingResponse {
timestamp,
cpu: CpuStatsJson {
utilization_percent: 0.0,
total_time_seconds: 0.0,
user_time_seconds: 0.0,
system_time_seconds: 0.0,
},
memory: MemoryStatsJson {
rss_bytes: 0,
virtual_bytes: 0,
peak_rss_bytes: 0,
},
io: IoStatsJson {
read_operations: 0,
write_operations: 0,
read_bytes: 0,
write_bytes: 0,
avg_read_latency_ms: 0.0,
avg_write_latency_ms: 0.0,
},
pprof_available: false,
};
let resources = ResourceStatsResponse {
timestamp,
cpu_utilization_percent: 0.0,
memory_utilization_percent: 0.0,
active_threads: 0,
active_requests: 0,
pending_requests: 0,
total_requests: 0,
successful_requests: 0,
failed_requests: 0,
success_rate_percent: 0.0,
avg_latency_ms: 0.0,
load_shedding_active: false,
};
let response = HealthCheckResponse {
status: "healthy".to_string(),
timestamp,
profiling,
resources,
anomalies_count: 0,
critical_anomalies_count: 0,
};
(StatusCode::OK, Json(response))
}
pub async fn get_storage_growth_prediction(State(state): State<AppState>) -> impl IntoResponse {
match state.predictive_analytics.predict_storage_growth().await {
Some(prediction) => (StatusCode::OK, Json(serde_json::json!(prediction))),
None => (
StatusCode::OK,
Json(serde_json::json!({
"current_size": 0,
"predicted_7d": 0,
"predicted_30d": 0,
"predicted_90d": 0,
"daily_growth_rate": 0.0,
"confidence": 0.0,
"trend": "Stable",
"note": "Insufficient data for prediction (minimum 10 data points required)"
})),
),
}
}
pub async fn get_access_pattern_prediction(State(state): State<AppState>) -> impl IntoResponse {
match state.predictive_analytics.predict_access_patterns().await {
Some(prediction) => (StatusCode::OK, Json(serde_json::json!(prediction))),
None => (
StatusCode::OK,
Json(serde_json::json!({
"current_rps": 0.0,
"predicted_1h": 0.0,
"predicted_24h": 0.0,
"expected_peak": 0.0,
"peak_hour": 0,
"pattern_type": "Stable",
"confidence": 0.0,
"note": "Insufficient data for prediction (minimum 24 data points required)"
})),
),
}
}
pub async fn get_cost_forecast(State(state): State<AppState>) -> impl IntoResponse {
match state.predictive_analytics.forecast_costs().await {
Some(forecast) => (StatusCode::OK, Json(serde_json::json!(forecast))),
None => (
StatusCode::OK,
Json(serde_json::json!({
"current_monthly_cost": 0.0,
"predicted_next_month": 0.0,
"predicted_3_months": 0.0,
"predicted_6_months": 0.0,
"storage_cost": 0.0,
"bandwidth_cost": 0.0,
"request_cost": 0.0,
"growth_rate_percent": 0.0,
"note": "Insufficient data for forecast"
})),
),
}
}
pub async fn get_capacity_recommendations(State(state): State<AppState>) -> impl IntoResponse {
match state.predictive_analytics.capacity_recommendations().await {
Some(recommendation) => (StatusCode::OK, Json(serde_json::json!(recommendation))),
None => (
StatusCode::OK,
Json(serde_json::json!({
"current_utilization": 0.0,
"predicted_30d_utilization": 0.0,
"predicted_90d_utilization": 0.0,
"days_until_threshold": null,
"recommendation": "NoActionNeeded",
"additional_capacity_needed": null,
"urgency": "Low",
"note": "Insufficient data for capacity planning"
})),
),
}
}