74 lines
2.9 KiB
Python
74 lines
2.9 KiB
Python
import subprocess
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import os
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from concurrent.futures import ThreadPoolExecutor
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from threading import Lock
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def process_file(file, directory_path, output_file_path, keyword, counter_lock, processed_counter):
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file_path = os.path.join(directory_path, file)
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print(f"\nProcessing {file_path}...")
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# Run the command and append the output to the same output file
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command = f"zcat {file_path} | grep '{keyword}'"
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process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, text=True)
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# Stream the output line by line and append to the output file
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with open(output_file_path, "a") as output_file:
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for line in process.stdout:
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output_file.write(line)
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process.wait() # Wait for the process to finish
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# Update the processed files count
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with counter_lock:
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processed_counter[0] += 1
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remaining_count = len(gzipped_files) - processed_counter[0]
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print(f"{file_path} processed. URLs appended to {output_file_path}. Remaining files: {remaining_count}")
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# Ask the user for the directory containing .txt.gz files
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directory_path = input("Enter the directory path containing .txt.gz files: ")
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# Ensure the directory exists
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if not os.path.exists(directory_path):
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print(f"Error: The directory '{directory_path}' does not exist.")
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exit()
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# List all files in the directory that end with .txt.gz
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gzipped_files = [file for file in os.listdir(directory_path) if file.endswith(".txt.gz")]
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# Check if there are any .txt.gz files in the directory
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if not gzipped_files:
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print("Error: No .txt.gz files found in the specified directory.")
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exit()
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# Ask the user for the output directory
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output_directory = input("Enter the output directory path: ")
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# Ensure the output directory exists; if not, create it
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if not os.path.exists(output_directory):
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os.makedirs(output_directory)
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# Ask the user for the keyword
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keyword = input("Enter the keyword to search for: ")
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# Generate the output file name based on the directory name and keyword
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directory_name = os.path.basename(directory_path)
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output_file_name = f"{directory_name}_{keyword}_output.txt"
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output_file_path = os.path.join(output_directory, output_file_name)
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# Ask the user for the number of concurrent instances
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num_concurrent_instances = int(input("Enter the number of concurrent instances: "))
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# Use ThreadPoolExecutor to run the specified number of concurrent instances
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counter_lock = Lock()
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processed_counter = [0] # Using a list to store an integer (mutable) to pass by reference
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with ThreadPoolExecutor(max_workers=num_concurrent_instances) as executor:
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# Submit each file for processing
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futures = [executor.submit(process_file, file, directory_path, output_file_path, keyword, counter_lock, processed_counter) for file in gzipped_files]
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# Wait for all tasks to complete
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for future in futures:
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future.result()
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print(f"\nAll files processed. URLs appended to {output_file_path}") |