import subprocess
import os
from concurrent.futures import ThreadPoolExecutor
from threading import Lock

def process_file(file, directory_path, output_file_path, keyword, counter_lock, processed_counter):
    file_path = os.path.join(directory_path, file)

    print(f"\nProcessing {file_path}...")

    # Run the command and append the output to the same output file
    command = f"zcat {file_path} | grep '{keyword}'"
    result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, text=True)

    # Append the output to the same output file
    with open(output_file_path, "a") as output_file:
        output_file.write(result.stdout)

    # Update the processed files count
    with counter_lock:
        processed_counter[0] += 1
        remaining_count = len(gzipped_files) - processed_counter[0]
        print(f"{file_path} processed. URLs appended to {output_file_path}. Remaining files: {remaining_count}")

# Ask the user for the directory containing .txt.gz files
directory_path = input("Enter the directory path containing .txt.gz files: ")

# Ensure the directory exists
if not os.path.exists(directory_path):
    print(f"Error: The directory '{directory_path}' does not exist.")
    exit()

# List all files in the directory that end with .txt.gz
gzipped_files = [file for file in os.listdir(directory_path) if file.endswith(".txt.gz")]

# Check if there are any .txt.gz files in the directory
if not gzipped_files:
    print("Error: No .txt.gz files found in the specified directory.")
    exit()

# Ask the user for the output directory
output_directory = input("Enter the output directory path: ")

# Ensure the output directory exists; if not, create it
if not os.path.exists(output_directory):
    os.makedirs(output_directory)

# Ask the user for the keyword
keyword = input("Enter the keyword to search for: ")

# Generate the output file name based on the directory name and keyword
directory_name = os.path.basename(directory_path)
output_file_name = f"{directory_name}_{keyword}_output.txt"
output_file_path = os.path.join(output_directory, output_file_name)

# Ask the user for the number of concurrent instances
num_concurrent_instances = int(input("Enter the number of concurrent instances: "))

# Use ThreadPoolExecutor to run the specified number of concurrent instances
counter_lock = Lock()
processed_counter = [0]  # Using a list to store an integer (mutable) to pass by reference

with ThreadPoolExecutor(max_workers=num_concurrent_instances) as executor:
    # Submit each file for processing
    futures = [executor.submit(process_file, file, directory_path, output_file_path, keyword, counter_lock, processed_counter) for file in gzipped_files]

    # Wait for all tasks to complete
    for future in futures:
        future.result()

print(f"\nAll files processed. URLs appended to {output_file_path}")