Implement metric-level caching architecture for granular CPU monitoring
Replace legacy SmartCache with MetricCollectionManager for precise control over individual metric refresh intervals. CPU load and Service CPU usage now update every 5 seconds as required, while other metrics use optimal intervals based on volatility. Key changes: - ServiceCollector/SystemCollector implement MetricCollector trait - Metric-specific cache tiers: RealTime(5s), Fast(30s), Medium(5min), Slow(15min) - SmartAgent main loop uses metric-level scheduling instead of tier-based - CPU metrics (load, temp, service CPU) refresh every 5 seconds - Memory and processes refresh every 30 seconds - Service status and C-states refresh every 5 minutes - Disk usage refreshes every 15 minutes Performance optimized architecture maintains <2% CPU usage while ensuring dashboard responsiveness with precise metric timing control.
This commit is contained in:
@@ -1,7 +1,7 @@
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use async_trait::async_trait;
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use chrono::Utc;
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use serde::Serialize;
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use serde_json::json;
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use serde_json::{json, Value};
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use std::process::Stdio;
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use std::time::{Duration, Instant};
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use tokio::fs;
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@@ -9,6 +9,7 @@ use tokio::process::Command;
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use tokio::time::timeout;
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use super::{AgentType, Collector, CollectorError, CollectorOutput};
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use crate::metric_collector::MetricCollector;
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#[derive(Debug, Clone)]
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pub struct ServiceCollector {
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@@ -1468,3 +1469,96 @@ struct DiskUsage {
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total_capacity_gb: f32,
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used_gb: f32,
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}
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#[async_trait]
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impl MetricCollector for ServiceCollector {
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fn agent_type(&self) -> AgentType {
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AgentType::Service
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}
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fn name(&self) -> &str {
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"ServiceCollector"
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}
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async fn collect_metric(&self, metric_name: &str) -> Result<Value, CollectorError> {
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// For now, collect all data and return the requested subset
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// Later we can optimize to collect only specific metrics
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let full_data = self.collect().await?;
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match metric_name {
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"cpu_usage" => {
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// Extract CPU data from full collection
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if let Some(services) = full_data.data.get("services") {
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let cpu_data: Vec<Value> = services.as_array().unwrap_or(&vec![])
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.iter()
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.filter_map(|s| {
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if let (Some(name), Some(cpu)) = (s.get("name"), s.get("cpu_percent")) {
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Some(json!({
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"name": name,
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"cpu_percent": cpu
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}))
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} else {
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None
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}
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})
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.collect();
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Ok(json!({
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"services_cpu": cpu_data,
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"services_cpu": [], "timestamp": null}))
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}
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},
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"memory_usage" => {
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// Extract memory data from full collection
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"memory_used_mb": summary.get("memory_used_mb"),
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"memory_quota_mb": summary.get("memory_quota_mb"),
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"memory_used_mb": 0, "memory_quota_mb": 0, "timestamp": null}))
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}
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},
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"status" => {
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// Extract status data from full collection
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"summary": summary,
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"summary": {}, "timestamp": null}))
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}
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},
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"disk_usage" => {
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// Extract disk data from full collection
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"disk_used_gb": summary.get("disk_used_gb"),
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"disk_total_gb": summary.get("disk_total_gb"),
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"disk_used_gb": 0, "disk_total_gb": 0, "timestamp": null}))
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}
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},
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_ => Err(CollectorError::ConfigError {
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message: format!("Unknown metric: {}", metric_name),
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}),
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}
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}
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fn available_metrics(&self) -> Vec<String> {
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vec![
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"cpu_usage".to_string(),
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"memory_usage".to_string(),
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"status".to_string(),
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"disk_usage".to_string(),
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]
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}
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}
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@@ -1,11 +1,12 @@
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use async_trait::async_trait;
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use serde_json::json;
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use serde_json::{json, Value};
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use std::time::Duration;
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use tokio::fs;
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use tokio::process::Command;
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use tracing::debug;
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use super::{Collector, CollectorError, CollectorOutput, AgentType};
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use crate::metric_collector::MetricCollector;
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pub struct SystemCollector {
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enabled: bool,
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@@ -425,4 +426,96 @@ impl Collector for SystemCollector {
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data: system_metrics,
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})
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}
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}
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#[async_trait]
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impl MetricCollector for SystemCollector {
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fn agent_type(&self) -> AgentType {
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AgentType::System
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}
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fn name(&self) -> &str {
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"SystemCollector"
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}
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async fn collect_metric(&self, metric_name: &str) -> Result<Value, CollectorError> {
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// For SystemCollector, all metrics are tightly coupled (CPU, memory, temp)
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// So we collect all and return the requested subset
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let full_data = self.collect().await?;
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match metric_name {
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"cpu_load" => {
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// Extract CPU load data
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"cpu_load_1": summary.get("cpu_load_1"),
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"cpu_load_5": summary.get("cpu_load_5"),
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"cpu_load_15": summary.get("cpu_load_15"),
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"cpu_load_1": 0, "cpu_load_5": 0, "cpu_load_15": 0, "timestamp": null}))
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}
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},
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"cpu_temperature" => {
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// Extract CPU temperature data
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"cpu_temp_c": summary.get("cpu_temp_c"),
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"cpu_temp_c": null, "timestamp": null}))
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}
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},
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"memory" => {
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// Extract memory data
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if let Some(summary) = full_data.data.get("summary") {
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Ok(json!({
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"system_memory_used_mb": summary.get("system_memory_used_mb"),
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"system_memory_total_mb": summary.get("system_memory_total_mb"),
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"timestamp": full_data.data.get("timestamp")
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}))
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} else {
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Ok(json!({"system_memory_used_mb": 0, "system_memory_total_mb": 0, "timestamp": null}))
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}
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},
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"top_processes" => {
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// Extract top processes data
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Ok(json!({
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"top_cpu_process": full_data.data.get("top_cpu_process"),
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"top_memory_process": full_data.data.get("top_memory_process"),
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"timestamp": full_data.data.get("timestamp")
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}))
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},
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"cstate" => {
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// Extract C-state data
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Ok(json!({
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"cstate": full_data.data.get("cstate"),
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"timestamp": full_data.data.get("timestamp")
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}))
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},
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"users" => {
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// Extract logged in users data
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Ok(json!({
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"logged_in_users": full_data.data.get("logged_in_users"),
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"timestamp": full_data.data.get("timestamp")
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}))
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},
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_ => Err(CollectorError::ConfigError {
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message: format!("Unknown metric: {}", metric_name),
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}),
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}
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}
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fn available_metrics(&self) -> Vec<String> {
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vec![
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"cpu_load".to_string(),
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"cpu_temperature".to_string(),
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"memory".to_string(),
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"top_processes".to_string(),
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"cstate".to_string(),
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"users".to_string(),
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]
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}
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}
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