Christoffer Martinsson 9e80d6b654 Remove hardcoded /tmp autodetection and implement proper tmpfs monitoring
- Remove /tmp autodetection from disk collector (57 lines removed)
- Add tmpfs monitoring to memory collector with get_tmpfs_metrics() method
- Generate memory_tmp_* metrics for proper RAM-based tmpfs monitoring
- Fix type annotations in tmpfs parsing for compilation
- System widget now correctly displays tmpfs usage in RAM section
2025-10-23 14:26:15 +02:00

323 lines
11 KiB
Rust

use async_trait::async_trait;
use cm_dashboard_shared::{registry, Metric, MetricValue, Status, StatusTracker, HysteresisThresholds};
use tracing::debug;
use super::{utils, Collector, CollectorError};
use crate::config::MemoryConfig;
/// Extremely efficient memory metrics collector
///
/// EFFICIENCY OPTIMIZATIONS:
/// - Single /proc/meminfo read for all memory metrics
/// - Minimal string parsing with split operations
/// - Pre-calculated KB to GB conversion
/// - No regex or complex parsing
/// - <0.1ms collection time target
pub struct MemoryCollector {
name: String,
usage_thresholds: HysteresisThresholds,
}
/// Memory information parsed from /proc/meminfo
#[derive(Debug, Default)]
struct MemoryInfo {
total_kb: u64,
available_kb: u64,
free_kb: u64,
buffers_kb: u64,
cached_kb: u64,
swap_total_kb: u64,
swap_free_kb: u64,
}
impl MemoryCollector {
pub fn new(config: MemoryConfig) -> Self {
// Create hysteresis thresholds with 5% gap for memory usage
let usage_thresholds = HysteresisThresholds::with_custom_gaps(
config.usage_warning_percent,
5.0, // 5% gap for warning recovery
config.usage_critical_percent,
5.0, // 5% gap for critical recovery
);
Self {
name: "memory".to_string(),
usage_thresholds,
}
}
/// Calculate memory usage status using hysteresis thresholds
fn calculate_usage_status(&self, metric_name: &str, usage_percent: f32, status_tracker: &mut StatusTracker) -> Status {
status_tracker.calculate_with_hysteresis(metric_name, usage_percent, &self.usage_thresholds)
}
/// Parse /proc/meminfo efficiently
/// Format: "MemTotal: 16384000 kB"
async fn parse_meminfo(&self) -> Result<MemoryInfo, CollectorError> {
let content = utils::read_proc_file("/proc/meminfo")?;
let mut info = MemoryInfo::default();
// Parse each line efficiently - only extract what we need
for line in content.lines() {
if let Some(colon_pos) = line.find(':') {
let key = &line[..colon_pos];
let value_part = &line[colon_pos + 1..];
// Extract number from value part (format: " 12345 kB")
if let Some(number_str) = value_part.split_whitespace().next() {
if let Ok(value_kb) = utils::parse_u64(number_str) {
match key {
"MemTotal" => info.total_kb = value_kb,
"MemAvailable" => info.available_kb = value_kb,
"MemFree" => info.free_kb = value_kb,
"Buffers" => info.buffers_kb = value_kb,
"Cached" => info.cached_kb = value_kb,
"SwapTotal" => info.swap_total_kb = value_kb,
"SwapFree" => info.swap_free_kb = value_kb,
_ => {} // Skip other fields for efficiency
}
}
}
}
}
// Validate that we got essential fields
if info.total_kb == 0 {
return Err(CollectorError::Parse {
value: "MemTotal".to_string(),
error: "MemTotal not found or zero in /proc/meminfo".to_string(),
});
}
// If MemAvailable is not available (older kernels), calculate it
if info.available_kb == 0 {
info.available_kb = info.free_kb + info.buffers_kb + info.cached_kb;
}
Ok(info)
}
/// Convert KB to GB efficiently (avoiding floating point in hot path)
fn kb_to_gb(kb: u64) -> f32 {
kb as f32 / 1_048_576.0 // 1024 * 1024
}
/// Calculate memory metrics from parsed info
fn calculate_metrics(&self, info: &MemoryInfo, status_tracker: &mut StatusTracker) -> Vec<Metric> {
let mut metrics = Vec::with_capacity(6);
// Calculate derived values
let used_kb = info.total_kb - info.available_kb;
let usage_percent = (used_kb as f32 / info.total_kb as f32) * 100.0;
let usage_status = self.calculate_usage_status(registry::MEMORY_USAGE_PERCENT, usage_percent, status_tracker);
let swap_used_kb = info.swap_total_kb - info.swap_free_kb;
// Convert to GB for metrics
let total_gb = Self::kb_to_gb(info.total_kb);
let used_gb = Self::kb_to_gb(used_kb);
let available_gb = Self::kb_to_gb(info.available_kb);
let swap_total_gb = Self::kb_to_gb(info.swap_total_kb);
let swap_used_gb = Self::kb_to_gb(swap_used_kb);
// Memory usage percentage (primary metric with status)
metrics.push(
Metric::new(
registry::MEMORY_USAGE_PERCENT.to_string(),
MetricValue::Float(usage_percent),
usage_status,
)
.with_description("Memory usage percentage".to_string())
.with_unit("%".to_string()),
);
// Total memory
metrics.push(
Metric::new(
registry::MEMORY_TOTAL_GB.to_string(),
MetricValue::Float(total_gb),
Status::Ok, // Total memory doesn't have status
)
.with_description("Total system memory".to_string())
.with_unit("GB".to_string()),
);
// Used memory
metrics.push(
Metric::new(
registry::MEMORY_USED_GB.to_string(),
MetricValue::Float(used_gb),
Status::Ok, // Used memory absolute value doesn't have status
)
.with_description("Used system memory".to_string())
.with_unit("GB".to_string()),
);
// Available memory
metrics.push(
Metric::new(
registry::MEMORY_AVAILABLE_GB.to_string(),
MetricValue::Float(available_gb),
Status::Ok, // Available memory absolute value doesn't have status
)
.with_description("Available system memory".to_string())
.with_unit("GB".to_string()),
);
// Swap metrics (only if swap exists)
if info.swap_total_kb > 0 {
metrics.push(
Metric::new(
registry::MEMORY_SWAP_TOTAL_GB.to_string(),
MetricValue::Float(swap_total_gb),
Status::Ok,
)
.with_description("Total swap space".to_string())
.with_unit("GB".to_string()),
);
metrics.push(
Metric::new(
registry::MEMORY_SWAP_USED_GB.to_string(),
MetricValue::Float(swap_used_gb),
Status::Ok,
)
.with_description("Used swap space".to_string())
.with_unit("GB".to_string()),
);
}
// Monitor tmpfs (/tmp) usage
if let Ok(tmpfs_metrics) = self.get_tmpfs_metrics() {
metrics.extend(tmpfs_metrics);
}
metrics
}
/// Get tmpfs (/tmp) usage metrics
fn get_tmpfs_metrics(&self) -> Result<Vec<Metric>, CollectorError> {
use std::process::Command;
let output = Command::new("df")
.arg("--block-size=1")
.arg("/tmp")
.output()
.map_err(|e| CollectorError::SystemRead {
path: "/tmp".to_string(),
error: e.to_string(),
})?;
if !output.status.success() {
return Ok(Vec::new()); // Return empty if /tmp not available
}
let output_str = String::from_utf8(output.stdout)
.map_err(|e| CollectorError::Parse {
value: "df output".to_string(),
error: e.to_string(),
})?;
let lines: Vec<&str> = output_str.lines().collect();
if lines.len() < 2 {
return Ok(Vec::new());
}
let fields: Vec<&str> = lines[1].split_whitespace().collect();
if fields.len() < 4 {
return Ok(Vec::new());
}
let total_bytes: u64 = fields[1].parse()
.map_err(|e: std::num::ParseIntError| CollectorError::Parse {
value: fields[1].to_string(),
error: e.to_string(),
})?;
let used_bytes: u64 = fields[2].parse()
.map_err(|e: std::num::ParseIntError| CollectorError::Parse {
value: fields[2].to_string(),
error: e.to_string(),
})?;
let total_gb = total_bytes as f32 / (1024.0 * 1024.0 * 1024.0);
let used_gb = used_bytes as f32 / (1024.0 * 1024.0 * 1024.0);
let usage_percent = if total_bytes > 0 {
(used_bytes as f32 / total_bytes as f32) * 100.0
} else {
0.0
};
let mut metrics = Vec::new();
let timestamp = chrono::Utc::now().timestamp() as u64;
metrics.push(Metric {
name: "memory_tmp_usage_percent".to_string(),
value: MetricValue::Float(usage_percent),
unit: Some("%".to_string()),
description: Some("tmpfs /tmp usage percentage".to_string()),
status: Status::Ok,
timestamp,
});
metrics.push(Metric {
name: "memory_tmp_used_gb".to_string(),
value: MetricValue::Float(used_gb),
unit: Some("GB".to_string()),
description: Some("tmpfs /tmp used space".to_string()),
status: Status::Ok,
timestamp,
});
metrics.push(Metric {
name: "memory_tmp_total_gb".to_string(),
value: MetricValue::Float(total_gb),
unit: Some("GB".to_string()),
description: Some("tmpfs /tmp total space".to_string()),
status: Status::Ok,
timestamp,
});
Ok(metrics)
}
}
#[async_trait]
impl Collector for MemoryCollector {
fn name(&self) -> &str {
&self.name
}
async fn collect(&self, status_tracker: &mut StatusTracker) -> Result<Vec<Metric>, CollectorError> {
debug!("Collecting memory metrics");
let start = std::time::Instant::now();
// Parse memory info from /proc/meminfo
let info = self.parse_meminfo().await?;
// Calculate all metrics from parsed info
let metrics = self.calculate_metrics(&info, status_tracker);
let duration = start.elapsed();
debug!(
"Memory collection completed in {:?} with {} metrics",
duration,
metrics.len()
);
// Efficiency check: warn if collection takes too long
if duration.as_millis() > 1 {
debug!(
"Memory collection took {}ms - consider optimization",
duration.as_millis()
);
}
// Store performance metrics
// Performance tracking handled by cache system
Ok(metrics)
}
}