ComputerAssignments/CA20_distributed_memory_systems/scripts/main.py

#!/usr/bin/env python3

import sys
import os
import logging
from pathlib import Path


sys.path.append(str(Path(__file__).parent / "src"))

def main():
    print("🔧 CA20: Advanced Memory Systems in AI - Starting Analysis")
    print("=" * 60)

    try:

        from memory_profiler import AdvancedMemoryProfiler
        from cache_algorithms import (
            CacheAwareAlgorithms,
            benchmark_matrix_algorithms,
            benchmark_convolution_algorithms,
        )
        from neural_networks import (
            analyze_model_memory_efficiency,
            demonstrate_memory_optimizations,
        )
        from benchmarking import MemoryAccessAnalyzer, run_comprehensive_benchmarks
        from visualization import create_comprehensive_analysis, generate_final_report
        from utils import setup_logging, load_config, create_output_directories


        from advanced_memory import benchmark_advanced_memory_systems
        from distributed_memory import benchmark_distributed_memory_systems
        from advanced_simulators import benchmark_advanced_simulators
        from advanced_visualization import (
            create_advanced_visualizations,
            generate_interactive_report,
        )


        from ai_memory_systems import benchmark_advanced_ai_memory_systems
        from ai_reporting import benchmark_advanced_reporting_system
        from workflow_manager import benchmark_workflow_system


        print("📋 Loading configuration...")
        config = load_config("config.yaml")
        logger = setup_logging(config)
        create_output_directories(config)

        print("🔧 Environment Setup Complete!")
        print(f"Python version: {sys.version}")
        print(f"Available CPU cores: {os.cpu_count()}")


        results = {}


        print("\n🚀 Starting Memory Access Pattern Analysis...")
        print("-" * 50)
        results["spatial_results"] = MemoryAccessAnalyzer.analyze_spatial_locality(
            matrix_size=1024
        )
        results["temporal_results"] = MemoryAccessAnalyzer.analyze_temporal_locality(
            data_size=512 * 1024
        )
        results["cache_simulation"] = MemoryAccessAnalyzer.cache_simulation_analysis()


        print("\n🚀 Starting Cache-Aware Algorithm Benchmarks...")
        print("-" * 50)
        results["matrix_results"] = benchmark_matrix_algorithms(
            matrix_sizes=[128, 256, 512]
        )
        results["convolution_results"] = benchmark_convolution_algorithms()


        print("\n🚀 Starting Memory-Efficient Neural Network Analysis...")
        print("-" * 50)
        results["model_analysis"] = analyze_model_memory_efficiency()
        results["optimization_results"] = demonstrate_memory_optimizations()


        print("\n🚀 Starting Advanced Memory Systems Analysis...")
        print("-" * 50)
        results["advanced_memory"] = benchmark_advanced_memory_systems()


        print("\n🚀 Starting Distributed Memory Systems Analysis...")
        print("-" * 50)
        results["distributed_memory"] = benchmark_distributed_memory_systems()


        print("\n🚀 Starting Advanced Simulators Analysis...")
        print("-" * 50)
        results["advanced_simulators"] = benchmark_advanced_simulators()


        print("\n🚀 Creating Comprehensive Memory Analysis Visualization...")
        print("-" * 50)
        create_comprehensive_analysis(results, "visualizations")


        print("\n🚀 Creating Advanced Interactive Visualizations...")
        print("-" * 50)
        create_advanced_visualizations(results, "visualizations")


        print("\n📊 Generating Final Report...")
        print("-" * 50)
        generate_final_report(results, "visualizations")


        print("\n📊 Generating Interactive Report...")
        print("-" * 50)
        generate_interactive_report(results, "visualizations")


        print("\n🤖 Starting AI-Powered Memory Analysis...")
        print("-" * 50)
        results["ai_memory_analysis"] = benchmark_advanced_ai_memory_systems()


        print("\n🤖 Starting AI-Powered Reporting...")
        print("-" * 50)
        results["ai_reporting"] = benchmark_advanced_reporting_system()


        print("\n🔄 Starting Workflow Management Analysis...")
        print("-" * 50)
        results["workflow_analysis"] = benchmark_workflow_system()

        print("\n" + "=" * 60)
        print("✅ CA20 Analysis Complete!")
        print("📋 All results saved to visualizations/ directory")
        print("📊 Check visualizations/final_report.txt for detailed summary")
        print("=" * 60)

        return True

    except ImportError as e:
        print(f"❌ Import Error: {e}")
        print("Please ensure all dependencies are installed:")
        print("pip install -r requirements.txt")
        return False

    except Exception as e:
        print(f"❌ Error during execution: {e}")
        logging.exception("Unexpected error occurred")
        return False

if __name__ == "__main__":
    success = main()
    sys.exit(0 if success else 1)