Accumulated memory usage checker (generated by GPT)

memory.py

import psutil
import matplotlib.pyplot as plt

def get_running_processes():
    running_processes = []
    
    # Iterate over all running processes
    for proc in psutil.process_iter(['pid', 'name', 'memory_info']):
        try:
            process_info = proc.info
            pid = process_info['pid']
            name = process_info['name']
            memory_info = process_info['memory_info']
            memory_usage = memory_info.rss  # Get the RSS (Resident Set Size) in bytes
            
            running_processes.append((pid, name, memory_usage))
        except (psutil.NoSuchProcess, psutil.AccessDenied):
            # Handle exceptions for processes that are no longer available or inaccessible
            pass
    
    # Sort processes based on memory usage (ascending order)
    running_processes.sort(key=lambda x: x[2])  # Sort by memory usage (ascending order)
    
    return running_processes

def main():
    processes = get_running_processes()
    
    if processes:
        process_names = []
        memory_usages = []
        accumulated_memory_usages = []
        accumulated_memory = 0
        
        print("List of running processes (sorted by memory usage, ascending):")
        for index, (pid, name, memory_usage) in enumerate(processes):
            # Convert memory usage to MB for easier readability
            memory_mb = memory_usage / (1024 * 1024)  # Convert bytes to MB
            
            # Calculate accumulated memory usage of processes with smaller memory footprints
            accumulated_memory += memory_mb
            
            process_names.append(name)
            memory_usages.append(memory_mb)
            accumulated_memory_usages.append(accumulated_memory)
            
            print(f"PID: {pid} | Name: {name} | Memory Usage: {memory_mb:.2f} MB | Accumulated Memory Usage: {accumulated_memory:.2f} MB")
        
        # Plotting the graph
        plt.figure(figsize=(12, 8))
        
        # Plot memory usage as vertical bars
        plt.bar(process_names, memory_usages, color='blue', label='Memory Usage (MB)')
        
        # Plot accumulated memory usage as a line
        plt.plot(process_names, accumulated_memory_usages, color='orange', marker='o', linestyle='-', linewidth=2, label='Accumulated Memory Usage (MB)')
        
        plt.xlabel('Process')
        plt.ylabel('Memory Usage (MB)')
        plt.title('Memory Usage of Running Processes (Sorted by Memory Usage, Ascending)')
        plt.xticks(rotation=90)  # Rotate x-axis labels for better readability
        plt.legend()
        plt.tight_layout()
        plt.show()
        
        # Total memory usage of all processes combined
        total_memory_usage = sum(memory_usages)
        print(f"\nTotal Memory Usage of all processes: {total_memory_usage:.2f} MB")
    else:
        print("No processes are currently running.")

if __name__ == "__main__":
    main()