## Major Achievements ### 1. CUDA Made Default & Mandatory (Agent 143) - CUDA now default feature in ml/Cargo.toml - All training requires GPU (no silent CPU fallback) - Added get_training_device() helper with fail-fast errors - Removed --use-gpu flags (GPU mandatory) - **Impact**: No more wasting time on accidental CPU training ### 2. TFT Training COMPLETE (Agent 144) - ✅ Training completed successfully in 7.6 minutes - ✅ Early stopping at epoch 100/200 (best val loss: 0.097318) - ✅ 11 checkpoints saved to ml/trained_models/production/tft/ - ✅ GPU Performance: 99% utilization, 367MB VRAM, 4.4s/epoch - ✅ 10x speedup vs CPU (4.4s vs 43-55s per epoch) - **Status**: PRODUCTION READY ### 3. TFT CUDA Tensor Contiguity Fix (Agent 142) - Fixed "matmul not supported for non-contiguous tensors" error - Added .contiguous() call after narrow() operation in QuantileLayer - Enabled CUDA-accelerated TFT training - **Files**: ml/src/tft/quantile_outputs.rs ### 4. MAMBA-2 CUDA Layer Normalization (Agent 145) - Created CudaLayerNorm wrapper for missing CUDA kernel - Implemented manual layer norm: γ * (x - μ) / sqrt(σ² + ε) + β - MAMBA-2 now runs on CUDA (no more "no cuda implementation" error) - **Files**: ml/src/mamba/mod.rs ### 5. TDD E2E Test Suite (Agent 146) ⭐ - Created comprehensive MAMBA-2 test suite (297 lines) - 7 tests: shapes, batches, CUDA, gradients, configs - **16x faster debugging**: 5s per iteration vs 80s - Already caught dtype mismatch bug (F32 vs F64) - **Files**: ml/tests/e2e_mamba2_training.rs ## Agent Summary (Agents 126-146) ### Code Fixes (Parallel - Agents 137-141) - **Agent 137**: MAMBA-2 batch dimension fix (streaming + batch loaders) - **Agent 138**: Liquid NN API fix (mutable loader, iterator fix) - **Agent 139**: PPO CheckpointMetadata fix (signature fields) - **Agent 140**: Paper trading executor (498 lines, 100ms polling) - **Agent 141**: Real model loading (RealDQNModel, RealPPOModel) ### Infrastructure (Agents 143-146) - **Agent 143**: CUDA mandatory (Cargo.toml, device helpers) - **Agent 144**: TFT verification (completion monitoring) - **Agent 145**: MAMBA-2 CUDA layer norm wrapper - **Agent 146**: TDD E2E test suite (16x faster debugging) ## Files Modified ### Core ML Infrastructure - ml/Cargo.toml: Added default = ["minimal-inference", "cuda"] - ml/src/lib.rs: Added get_training_device() helper (+109 lines) - ml/src/tft/quantile_outputs.rs: Fixed tensor contiguity - ml/src/mamba/mod.rs: Added CudaLayerNorm wrapper (+41 lines) ### Training Scripts - ml/examples/train_tft_dbn.rs: Removed --use-gpu flag - ml/examples/train_ppo.rs: Removed --use-gpu flag - ml/examples/train_mamba2_dbn.rs: Forced CUDA-only mode - ml/examples/train_liquid_dbn.rs: Fixed API usage ### Data Loaders - ml/src/data_loaders/dbn_sequence_loader.rs: Fixed batch dimensions - ml/src/data_loaders/streaming_dbn_loader.rs: Fixed batch dimensions ### Trading Service - services/trading_service/src/paper_trading_executor.rs: New executor (+498 lines) - services/trading_service/src/services/enhanced_ml.rs: Real model loading - services/trading_service/src/ensemble_coordinator.rs: Integration ### Tests - ml/tests/e2e_mamba2_training.rs: New TDD test suite (+297 lines) ### Trainers - ml/src/trainers/tft.rs: Fixed CheckpointMetadata signature fields ## Performance Metrics ### TFT Training - Duration: 7.6 minutes (100 epochs with early stopping) - GPU Utilization: 99% - GPU Memory: 367MB / 4GB (9%) - Epoch Time: 4.4 seconds (vs 43-55s on CPU) - Speedup: 10x vs CPU - Status: ✅ PRODUCTION READY ### TDD Testing - Test Execution: 5-10 seconds per test - Debugging Iteration: 5 seconds (vs 80 seconds before) - Speedup: 16x faster debugging - First Bug Found: <1 minute (dtype mismatch) ## Documentation - 21 comprehensive agent reports - TDD quick start guide - CUDA troubleshooting guide - Training verification procedures ## Next Steps 1. Fix MAMBA-2 dtype mismatch (F32→F64) - 2 minutes 2. Run MAMBA-2 tests until passing - 5-10 minutes 3. Launch full MAMBA-2 training - 200 epochs 4. Launch Liquid NN training ## System Status - TFT: ✅ COMPLETE (production ready) - MAMBA-2: 🧪 IN TESTING (TDD suite ready) - CUDA: ✅ DEFAULT (mandatory for training) - Tests: ✅ 16x faster debugging 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
555 lines
17 KiB
Bash
Executable File
555 lines
17 KiB
Bash
Executable File
#!/bin/bash
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# SYSTEM RESOURCE MONITOR - Agent 125
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# Monitors system resources and prevents crashes during ML training
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set -e
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# Configuration
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MEMORY_THRESHOLD=90 # Alert if memory usage >90%
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SWAP_THRESHOLD=6144 # Alert if swap usage >6GB (in MB)
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DISK_THRESHOLD=85 # Alert if disk usage >85%
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CHECK_INTERVAL=60 # Check every 60 seconds
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LOG_FILE="system_resource_monitor.log"
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REPORT_FILE="SYSTEM_RESOURCE_MONITOR_REPORT.md"
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# Colors for output
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RED='\033[0;31m'
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YELLOW='\033[1;33m'
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GREEN='\033[0;32m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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# Alert counters
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MEMORY_ALERTS=0
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SWAP_ALERTS=0
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DISK_ALERTS=0
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# Function to log with timestamp
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log() {
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echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
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}
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# Function to print colored output
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print_status() {
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local color=$1
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local message=$2
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echo -e "${color}${message}${NC}"
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log "$message"
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}
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# Function to check memory usage
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check_memory() {
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local mem_info=$(free | grep Mem)
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local total=$(echo $mem_info | awk '{print $2}')
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local used=$(echo $mem_info | awk '{print $3}')
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local free=$(echo $mem_info | awk '{print $4}')
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local available=$(echo $mem_info | awk '{print $7}')
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local percent=$((used * 100 / total))
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echo "$percent|$used|$total|$available"
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}
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# Function to check swap usage
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check_swap() {
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local swap_info=$(free | grep Swap)
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local total=$(echo $swap_info | awk '{print $2}')
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local used=$(echo $swap_info | awk '{print $3}')
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if [ "$total" -eq 0 ]; then
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echo "0|0|0"
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else
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local percent=$((used * 100 / total))
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local used_mb=$((used / 1024))
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echo "$percent|$used_mb|$((total / 1024))"
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fi
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}
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# Function to check disk usage
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check_disk() {
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local disk_info=$(df -h / | tail -1)
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local percent=$(echo $disk_info | awk '{print $5}' | tr -d '%')
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local used=$(echo $disk_info | awk '{print $3}')
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local total=$(echo $disk_info | awk '{print $2}')
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echo "$percent|$used|$total"
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}
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# Function to get training process info
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get_training_processes() {
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# Look for ML training processes
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ps aux | grep -E "(train_liquid|train_|tune|optuna|gpu_training)" | grep -v grep || echo ""
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}
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# Function to get process memory usage
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get_process_memory() {
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local pid=$1
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ps -p $pid -o rss= 2>/dev/null | awk '{printf "%.2f", $1/1024}' || echo "0"
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}
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# Function to get top memory consumers
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get_top_memory_processes() {
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ps aux --sort=-%mem | head -11 | tail -10
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}
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# Function to generate alert recommendations
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generate_recommendations() {
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local mem_percent=$1
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local swap_mb=$2
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local disk_percent=$3
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echo ""
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echo "## ALERT RECOMMENDATIONS"
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echo ""
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if [ "$mem_percent" -ge "$MEMORY_THRESHOLD" ]; then
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echo "### CRITICAL: High Memory Usage ($mem_percent%)"
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echo ""
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echo "**Immediate Actions:**"
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echo "1. Identify and kill non-essential processes"
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echo "2. Reduce batch size in training configuration"
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echo "3. Enable gradient checkpointing to reduce memory"
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echo "4. Consider using mixed precision (fp16) training"
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echo ""
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echo "**Process Kill Recommendations:**"
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echo '```bash'
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echo "# Kill non-essential Chrome/Firefox processes"
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echo "pkill -f 'chrome|firefox' 2>/dev/null || true"
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echo ""
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echo "# Kill Slack/Discord if running"
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echo "pkill -f 'slack|discord' 2>/dev/null || true"
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echo ""
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echo "# If still critical, reduce training batch size"
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echo "# Edit ml/examples/train_*.rs and reduce batch_size parameter"
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echo '```'
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echo ""
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fi
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if [ "$swap_mb" -ge "$SWAP_THRESHOLD" ]; then
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echo "### WARNING: High Swap Usage (${swap_mb}MB)"
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echo ""
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echo "**Immediate Actions:**"
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echo "1. System is thrashing - performance severely degraded"
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echo "2. Kill largest memory consumer immediately"
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echo "3. Restart training with reduced batch size"
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echo ""
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echo "**Emergency Kill Command:**"
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echo '```bash'
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echo "# Kill the largest memory consumer"
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echo "kill -9 \$(ps aux --sort=-%mem | awk 'NR==2 {print \$2}')"
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echo '```'
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echo ""
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fi
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if [ "$disk_percent" -ge "$DISK_THRESHOLD" ]; then
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echo "### WARNING: High Disk Usage ($disk_percent%)"
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echo ""
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echo "**Immediate Actions:**"
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echo "1. Clean up old checkpoints: rm -rf ml/tuning_checkpoints/trial_*/checkpoint_epoch_*"
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echo "2. Remove old logs: find . -name '*.log' -mtime +7 -delete"
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echo "3. Clean cargo cache: cargo clean"
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echo "4. Remove Docker volumes: docker system prune -a"
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echo ""
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fi
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}
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# Function to generate monitoring report
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generate_report() {
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local duration=$1
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local max_mem=$2
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local max_swap=$3
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local max_disk=$4
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cat > "$REPORT_FILE" << EOF
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# SYSTEM RESOURCE MONITOR REPORT - Agent 125
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**Generated**: $(date '+%Y-%m-%d %H:%M:%S')
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**Monitoring Duration**: ${duration} seconds
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**Status**: $([ $MEMORY_ALERTS -eq 0 ] && [ $SWAP_ALERTS -eq 0 ] && [ $DISK_ALERTS -eq 0 ] && echo "✅ HEALTHY" || echo "⚠️ ALERTS DETECTED")
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---
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## Executive Summary
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This report provides continuous system resource monitoring to prevent crashes during ML training.
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### Alert Summary
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| Resource | Alerts | Max Usage | Threshold | Status |
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|----------|--------|-----------|-----------|--------|
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| Memory | $MEMORY_ALERTS | $max_mem% | $MEMORY_THRESHOLD% | $([ $MEMORY_ALERTS -eq 0 ] && echo "✅ OK" || echo "⚠️ CRITICAL") |
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| Swap | $SWAP_ALERTS | ${max_swap}MB | ${SWAP_THRESHOLD}MB | $([ $SWAP_ALERTS -eq 0 ] && echo "✅ OK" || echo "⚠️ WARNING") |
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| Disk | $DISK_ALERTS | $max_disk% | $DISK_THRESHOLD% | $([ $DISK_ALERTS -eq 0 ] && echo "✅ OK" || echo "⚠️ WARNING") |
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---
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## Current System Status
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### Memory Status
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\`\`\`
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$(free -h)
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\`\`\`
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### Disk Status
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\`\`\`
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$(df -h /)
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\`\`\`
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### Top Memory Consumers
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\`\`\`
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$(get_top_memory_processes)
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\`\`\`
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### Active Training Processes
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\`\`\`
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$(get_training_processes || echo "No active training processes detected")
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\`\`\`
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---
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## Resource Usage Timeline
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**Note**: See $LOG_FILE for detailed timeline with timestamps
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### Memory Usage Pattern
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- Peak Memory: $max_mem%
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- Alert Threshold: $MEMORY_THRESHOLD%
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- Alerts Triggered: $MEMORY_ALERTS
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### Swap Usage Pattern
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- Peak Swap: ${max_swap}MB
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- Alert Threshold: ${SWAP_THRESHOLD}MB
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- Alerts Triggered: $SWAP_ALERTS
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### Disk Usage Pattern
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- Peak Disk: $max_disk%
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- Alert Threshold: $DISK_THRESHOLD%
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- Alerts Triggered: $DISK_ALERTS
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---
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## Monitoring Configuration
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\`\`\`yaml
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check_interval: ${CHECK_INTERVAL}s
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thresholds:
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memory: ${MEMORY_THRESHOLD}%
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swap: ${SWAP_THRESHOLD}MB
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disk: ${DISK_THRESHOLD}%
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alerts:
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memory: $([ $MEMORY_ALERTS -eq 0 ] && echo "none" || echo "$MEMORY_ALERTS triggered")
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swap: $([ $SWAP_ALERTS -eq 0 ] && echo "none" || echo "$SWAP_ALERTS triggered")
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disk: $([ $DISK_ALERTS -eq 0 ] && echo "none" || echo "$DISK_ALERTS triggered")
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\`\`\`
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---
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## Recommendations
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### System Optimization
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1. **Memory Management**:
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- Current available: $(free -h | grep Mem | awk '{print $7}')
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- Recommendation: $([ "$max_mem" -lt 70 ] && echo "✅ Healthy - no action needed" || echo "⚠️ Consider reducing batch size or enabling gradient checkpointing")
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2. **Swap Usage**:
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- Current swap: $(free -h | grep Swap | awk '{print $3}')
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- Recommendation: $([ "$max_swap" -lt 1024 ] && echo "✅ Minimal swap - good performance" || echo "⚠️ High swap indicates memory pressure - upgrade RAM or reduce workload")
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3. **Disk Space**:
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- Available: $(df -h / | tail -1 | awk '{print $4}')
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- Recommendation: $([ "$max_disk" -lt 70 ] && echo "✅ Sufficient space" || echo "⚠️ Clean up old checkpoints and logs")
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### Training Optimization
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1. **Batch Size Tuning**:
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- If memory >80%, reduce batch_size by 50%
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- If memory <50%, can increase batch_size by 50%
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2. **Gradient Checkpointing**:
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- Enable for MAMBA-2/TFT models if memory >70%
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- Trades 30% more compute for 50% less memory
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3. **Mixed Precision**:
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- Use fp16 instead of fp32 to halve memory usage
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- Minimal accuracy impact (<0.5% for most models)
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---
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## Emergency Procedures
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### If Memory >90%
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\`\`\`bash
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# 1. Kill non-essential processes
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pkill -f 'chrome|firefox|slack' 2>/dev/null || true
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# 2. Clear page cache (safe, no data loss)
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sudo sync && sudo sh -c 'echo 3 > /proc/sys/vm/drop_caches'
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# 3. Kill largest memory consumer (emergency only)
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kill -9 \$(ps aux --sort=-%mem | awk 'NR==2 {print \$2}')
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\`\`\`
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### If Swap >6GB
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\`\`\`bash
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# System is thrashing - immediate action required
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# Kill the training process and restart with reduced batch size
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pkill -f 'train_liquid|optuna'
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# Wait for swap to clear
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sleep 30
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# Reduce batch size in config and restart
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\`\`\`
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### If Disk >85%
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\`\`\`bash
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# Clean up old checkpoints
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rm -rf ml/tuning_checkpoints/trial_*/checkpoint_epoch_*
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# Remove old logs
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find . -name '*.log' -mtime +7 -delete
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# Clean cargo cache
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cargo clean
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# Check space again
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df -h /
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\`\`\`
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---
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## Continuous Monitoring
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**Status**: $([ -f "/tmp/resource_monitor.pid" ] && echo "🟢 RUNNING" || echo "🔴 STOPPED")
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To continue monitoring:
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\`\`\`bash
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# Start monitoring (runs in background)
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nohup ./scripts/system_resource_monitor.sh monitor > /dev/null 2>&1 &
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# Stop monitoring
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kill \$(cat /tmp/resource_monitor.pid 2>/dev/null)
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\`\`\`
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To generate this report again:
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\`\`\`bash
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./scripts/system_resource_monitor.sh report
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\`\`\`
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---
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## Log File
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Full monitoring log: \`$LOG_FILE\`
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\`\`\`bash
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# View last 50 entries
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tail -50 $LOG_FILE
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# View all alerts
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grep -E 'ALERT|WARNING|CRITICAL' $LOG_FILE
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# View memory timeline
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grep 'Memory:' $LOG_FILE
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\`\`\`
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---
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**Last Updated**: $(date '+%Y-%m-%d %H:%M:%S')
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**Next Check**: In ${CHECK_INTERVAL} seconds (if monitoring active)
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**Generated by**: Agent 125 - System Resource Monitor
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EOF
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print_status "$GREEN" "✅ Report generated: $REPORT_FILE"
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}
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# Function to monitor resources continuously
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monitor_resources() {
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local start_time=$(date +%s)
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local max_mem=0
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local max_swap=0
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local max_disk=0
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# Save PID for stopping
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echo $$ > /tmp/resource_monitor.pid
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print_status "$BLUE" "🚀 Starting system resource monitoring..."
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print_status "$BLUE" "⚙️ Check interval: ${CHECK_INTERVAL}s"
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print_status "$BLUE" "⚠️ Thresholds: Memory ${MEMORY_THRESHOLD}%, Swap ${SWAP_THRESHOLD}MB, Disk ${DISK_THRESHOLD}%"
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echo ""
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# Main monitoring loop
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while true; do
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# Check memory
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mem_data=$(check_memory)
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mem_percent=$(echo $mem_data | cut -d'|' -f1)
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mem_used=$(echo $mem_data | cut -d'|' -f2)
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mem_total=$(echo $mem_data | cut -d'|' -f3)
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mem_available=$(echo $mem_data | cut -d'|' -f4)
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[ $mem_percent -gt $max_mem ] && max_mem=$mem_percent
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# Check swap
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swap_data=$(check_swap)
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swap_percent=$(echo $swap_data | cut -d'|' -f1)
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swap_mb=$(echo $swap_data | cut -d'|' -f2)
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swap_total=$(echo $swap_data | cut -d'|' -f3)
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[ $swap_mb -gt $max_swap ] && max_swap=$swap_mb
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# Check disk
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disk_data=$(check_disk)
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disk_percent=$(echo $disk_data | cut -d'|' -f1)
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disk_used=$(echo $disk_data | cut -d'|' -f2)
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disk_total=$(echo $disk_data | cut -d'|' -f3)
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[ $disk_percent -gt $max_disk ] && max_disk=$disk_percent
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# Determine status color
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if [ $mem_percent -ge $MEMORY_THRESHOLD ] || [ $swap_mb -ge $SWAP_THRESHOLD ]; then
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STATUS_COLOR=$RED
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STATUS="CRITICAL"
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elif [ $mem_percent -ge 75 ] || [ $swap_mb -ge 4096 ] || [ $disk_percent -ge $DISK_THRESHOLD ]; then
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STATUS_COLOR=$YELLOW
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STATUS="WARNING"
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else
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STATUS_COLOR=$GREEN
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STATUS="OK"
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fi
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# Print status
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echo -e "${STATUS_COLOR}[$(date '+%H:%M:%S')] Memory: ${mem_percent}% | Swap: ${swap_mb}MB | Disk: ${disk_percent}% | Status: $STATUS${NC}"
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log "Memory: ${mem_percent}% (${mem_used}KB/${mem_total}KB, Available: ${mem_available}KB) | Swap: ${swap_mb}MB/${swap_total}MB | Disk: ${disk_percent}% (${disk_used}/${disk_total})"
|
|
|
|
# Check for alerts
|
|
if [ $mem_percent -ge $MEMORY_THRESHOLD ]; then
|
|
((MEMORY_ALERTS++))
|
|
print_status "$RED" "🚨 MEMORY ALERT: ${mem_percent}% usage exceeds ${MEMORY_THRESHOLD}% threshold!"
|
|
print_status "$RED" " Available: $((mem_available / 1024))MB"
|
|
|
|
# Show top processes
|
|
print_status "$YELLOW" " Top 5 memory consumers:"
|
|
ps aux --sort=-%mem | head -6 | tail -5 | awk '{printf " - %s (PID %s): %.1f%%\n", $11, $2, $4}' | tee -a "$LOG_FILE"
|
|
|
|
# Generate recommendations
|
|
generate_recommendations $mem_percent $swap_mb $disk_percent | tee -a "$LOG_FILE"
|
|
fi
|
|
|
|
if [ $swap_mb -ge $SWAP_THRESHOLD ]; then
|
|
((SWAP_ALERTS++))
|
|
print_status "$RED" "🚨 SWAP ALERT: ${swap_mb}MB usage exceeds ${SWAP_THRESHOLD}MB threshold!"
|
|
print_status "$RED" " System is likely thrashing - performance severely degraded"
|
|
generate_recommendations $mem_percent $swap_mb $disk_percent | tee -a "$LOG_FILE"
|
|
fi
|
|
|
|
if [ $disk_percent -ge $DISK_THRESHOLD ]; then
|
|
((DISK_ALERTS++))
|
|
print_status "$YELLOW" "⚠️ DISK ALERT: ${disk_percent}% usage exceeds ${DISK_THRESHOLD}% threshold!"
|
|
print_status "$YELLOW" " Available: $(df -h / | tail -1 | awk '{print $4}')"
|
|
generate_recommendations $mem_percent $swap_mb $disk_percent | tee -a "$LOG_FILE"
|
|
fi
|
|
|
|
# Check for training processes
|
|
training_procs=$(get_training_processes)
|
|
if [ -n "$training_procs" ]; then
|
|
log "Active training processes detected:"
|
|
echo "$training_procs" | while read -r line; do
|
|
log " $line"
|
|
done
|
|
fi
|
|
|
|
# Generate report every 10 checks (10 minutes)
|
|
if [ $(($(date +%s) - start_time)) -ge 600 ]; then
|
|
generate_report $(($(date +%s) - start_time)) $max_mem $max_swap $max_disk
|
|
start_time=$(date +%s)
|
|
fi
|
|
|
|
# Sleep until next check
|
|
sleep $CHECK_INTERVAL
|
|
done
|
|
}
|
|
|
|
# Function to show current status (one-time check)
|
|
show_status() {
|
|
print_status "$BLUE" "📊 System Resource Status"
|
|
echo ""
|
|
|
|
# Memory
|
|
mem_data=$(check_memory)
|
|
mem_percent=$(echo $mem_data | cut -d'|' -f1)
|
|
mem_used=$(echo $mem_data | cut -d'|' -f2)
|
|
mem_total=$(echo $mem_data | cut -d'|' -f3)
|
|
mem_available=$(echo $mem_data | cut -d'|' -f4)
|
|
|
|
[ $mem_percent -ge $MEMORY_THRESHOLD ] && COLOR=$RED || [ $mem_percent -ge 75 ] && COLOR=$YELLOW || COLOR=$GREEN
|
|
print_status "$COLOR" "Memory: ${mem_percent}% (Available: $((mem_available / 1024))MB)"
|
|
|
|
# Swap
|
|
swap_data=$(check_swap)
|
|
swap_mb=$(echo $swap_data | cut -d'|' -f2)
|
|
|
|
[ $swap_mb -ge $SWAP_THRESHOLD ] && COLOR=$RED || [ $swap_mb -ge 4096 ] && COLOR=$YELLOW || COLOR=$GREEN
|
|
print_status "$COLOR" "Swap: ${swap_mb}MB"
|
|
|
|
# Disk
|
|
disk_data=$(check_disk)
|
|
disk_percent=$(echo $disk_data | cut -d'|' -f1)
|
|
disk_used=$(echo $disk_data | cut -d'|' -f2)
|
|
disk_total=$(echo $disk_data | cut -d'|' -f3)
|
|
|
|
[ $disk_percent -ge $DISK_THRESHOLD ] && COLOR=$RED || [ $disk_percent -ge 70 ] && COLOR=$YELLOW || COLOR=$GREEN
|
|
print_status "$COLOR" "Disk: ${disk_percent}% (${disk_used}/${disk_total})"
|
|
|
|
echo ""
|
|
print_status "$BLUE" "Top 5 Memory Consumers:"
|
|
ps aux --sort=-%mem | head -6 | tail -5 | awk '{printf "%s (PID %s): %.1f%% (%.1fMB)\n", $11, $2, $4, $6/1024}'
|
|
|
|
echo ""
|
|
print_status "$BLUE" "Active Training Processes:"
|
|
training_procs=$(get_training_processes)
|
|
if [ -n "$training_procs" ]; then
|
|
echo "$training_procs"
|
|
else
|
|
echo "No active training processes detected"
|
|
fi
|
|
|
|
# Generate report
|
|
generate_report 0 $mem_percent $swap_mb $disk_percent
|
|
}
|
|
|
|
# Main script logic
|
|
case "${1:-monitor}" in
|
|
monitor)
|
|
monitor_resources
|
|
;;
|
|
status)
|
|
show_status
|
|
;;
|
|
report)
|
|
show_status
|
|
;;
|
|
stop)
|
|
if [ -f /tmp/resource_monitor.pid ]; then
|
|
pid=$(cat /tmp/resource_monitor.pid)
|
|
kill $pid 2>/dev/null && print_status "$GREEN" "✅ Monitoring stopped" || print_status "$YELLOW" "⚠️ No monitoring process found"
|
|
rm -f /tmp/resource_monitor.pid
|
|
else
|
|
print_status "$YELLOW" "⚠️ No monitoring process found"
|
|
fi
|
|
;;
|
|
*)
|
|
echo "Usage: $0 {monitor|status|report|stop}"
|
|
echo ""
|
|
echo "Commands:"
|
|
echo " monitor - Start continuous monitoring (default)"
|
|
echo " status - Show current status (one-time check)"
|
|
echo " report - Generate monitoring report"
|
|
echo " stop - Stop monitoring process"
|
|
exit 1
|
|
;;
|
|
esac
|