import os
import re
import csv
import sys

def convert_to_csv(input_file, output_directory):
    with open(input_file, 'r') as f:
        content = f.read()

    # Extracting relevant information using regular expressions
    task_pattern = re.compile(r'Task(\d+) => (\d+)/worst\s+(\d+)/best\s+(\d+\.\d+)/average((?:\s*,\s*missed its deadline \(absolute deadline =  \d+ ; completion time =  \d+\))*)')

    tasks = []
    for match in task_pattern.finditer(content):
        task_num, worst, best, avg, missed_info = match.groups()
        missed_count = missed_info.count('missed its deadline')
        tasks.append((int(task_num), int(best), int(worst), float(avg), missed_count))

    # Sort tasks numerically by task number
    tasks = sorted(tasks, key=lambda x: x[0])

    # Extract filename without extension
    filename_without_extension = os.path.splitext(os.path.basename(input_file))[0]

    # Writing to CSV
    output_file_path = os.path.join(output_directory, f'{filename_without_extension}.csv')
    with open(output_file_path, 'w', newline='') as csv_file:
        csv_writer = csv.writer(csv_file)
        csv_writer.writerow(['task', 'best', 'worst', 'average', 'missed'])

        for task_info in tasks:
            task_num, best, worst, avg, missed_count = task_info
            csv_writer.writerow([f'Task{task_num}', int(best), int(worst), float(avg), missed_count])

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python script.py input_directory")
        sys.exit(1)

    input_directory = sys.argv[1]
    output_directory = input_directory

    for filename in os.listdir(input_directory):
        if filename.endswith(".log"):
            input_file_path = os.path.join(input_directory, filename)
            convert_to_csv(input_file_path, output_directory)