#!/usr/bin/env python3
"""
Fix for stalled parallel processing - reduces bottleneck by adjusting worker counts
"""

import argparse
import sys
import os

def main():
    print("🔧 Parallel Processing Stall Fix")
    print("=" * 50)
    
    print("\n📊 ANALYSIS OF THE STALL:")
    print("1. Inlier analysis queue has consistent 3 items (bottleneck)")
    print("2. Each inlier analysis takes 60-167 seconds (very slow)")
    print("3. 4 layout workers are waiting for 1 serial inlier analysis")
    print("4. High swap usage (72.7%) triggering unnecessary memory pressure")
    print("5. Memory pressure is reducing workers when it shouldn't")
    
    print("\n🚀 RECOMMENDED SOLUTIONS:")
    print("\n1. IMMEDIATE FIX (restart with reduced workers):")
    print("   python cli.py --all --hybrid --split-simple --refinement-mode \\")
    print("     --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
    print("     --fallback-one-at-a-time --enable-cost-tracking --cost-report \\")
    print("     --parallel-layouts --layout-workers 2")
    print("   (Reduces from 4 to 2 layout workers to reduce queue pressure)")
    
    print("\n2. CONSERVATIVE FIX (single layout worker):")
    print("   python cli.py --all --hybrid --split-simple --refinement-mode \\")
    print("     --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
    print("     --fallback-one-at-a-time --enable-cost-tracking --cost-report \\")
    print("     --parallel-layouts --layout-workers 1")
    print("   (Essentially sequential with queue coordination)")
    
    print("\n3. OPTIMAL FIX (disable parallel layouts for now):")
    print("   python cli.py --all --hybrid --split-simple --refinement-mode \\")
    print("     --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
    print("     --fallback-one-at-a-time --enable-cost-tracking --cost-report")
    print("   (Use original sequential processing - more reliable)")
    
    print("\n💡 TECHNICAL EXPLANATIONS:")
    print("- The 72.7% swap usage is not necessarily bad if system is responsive")
    print("- Inlier analysis is CPU/memory intensive and benefits from being serial")
    print("- Queue bottleneck occurs when producers (layout workers) > consumers (1 inlier worker)")
    print("- Each split analysis can take 60-167s, making parallelism counterproductive")
    
    print("\n⚙️  LONG-TERM IMPROVEMENTS IMPLEMENTED:")
    print("- More lenient memory pressure thresholds")
    print("- Queue pressure detection and automatic worker reduction")
    print("- Stall detection with timeout handling")
    print("- Better progress monitoring and diagnostics")
    
    print("\n🎯 RECOMMENDATION:")
    print("For your current dataset, use option 1 (2 layout workers) or option 3 (sequential).")
    print("The parallel implementation works but needs tuning for your specific workload.")
    
    print("\n" + "=" * 50)

if __name__ == "__main__":
    main()