Jacek Mercik

34 papers B 2Journal 11Unranked 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
Entropy
Izabella Stach, Jacek Mercik, Cesarino Bertini, Barbara Gladysz, Jochen Staudacher
2022 B conf
ICCCI
Barbara Gladysz, Jacek Mercik
2022 ed.
Trans. Computational Collective Intelligence
Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuzma
2021 J jnl
Oper. Res. Decis.
Izabella Stach, Jacek Mercik
2021 J jnl
Entropy
Jacek Mercik, Barbara Gladysz, Izabella Stach, Jochen Staudacher
2021 ed.
Trans. Computational Collective Intelligence
Ngoc Thanh Nguyen, Ryszard Kowalczyk, Anna Motylska-Kuzma, Jacek Mercik
2020 conf
ACIIDS (1)
Anna Motylska-Kuzma, Jacek Mercik
2020 J jnl
Oper. Res. Decis.
Barbara Gladysz, Jacek Mercik
2020 J jnl
Trans. Comput. Collect. Intell.
Izabella Stach, Jacek Mercik, Cesarino Bertini
2020 ed.
Trans. Computational Collective Intelligence
Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuzma
2019 conf
ICCCI (1)
Barbara Gladysz, Jacek Mercik, Izabella Stach
2019 conf
ACIIDS (1)
Anna Motylska-Kuzma, Jacek Mercik, Aleksandra Sus
2019 J jnl
Trans. Comput. Collect. Intell.
Anna Motylska-Kuzma, Jacek Mercik, Aleksander Buczek
2019 ed.
Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuzma
2018 J jnl
Trans. Comput. Collect. Intell.
Jacek Mercik, Izabella Stach
2018 J jnl
Trans. Comput. Collect. Intell.
Barbara Gladysz, Jacek Mercik, David M. Ramsey
2018 conf
ICCCI (2)
Stefan Forlicz, Jacek Mercik, Izabella Stach, David Ramsey
2018 conf
ACIIDS (1)
Barbara Gladysz, Jacek Mercik
2018 ed.
Ngoc Thanh Nguyen, Richard Kowalczyk, Jacek Mercik, Anna Motylska-Kuzma
2017 conf
ACIIDS (1)
Jacek Mercik
2017 conf
ACIIDS (Extended Posters)
Aleksander Buczek, Jacek Mercik
2017 conf
ICCCI (2)
Jacek Mercik
2017 J jnl
Trans. Comput. Collect. Intell.
Jacek Mercik, David M. Ramsey
2017 ed.
Trans. Computational Collective Intelligence
Jacek Mercik
2016 conf
ACIIDS (1)
Jacek Mercik
2016 J jnl
Trans. Comput. Collect. Intell.
Jacek Mercik, Krzysztof Lobos
2016 ed.
Trans. Computational Collective Intelligence
Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik
2015 conf
ICCCI (1)
David Ramsey, Jacek Mercik
2015 J jnl
Neurocomputing
Jacek Mercik
2015 conf
ACIIDS (1)
Jacek Mercik, David Ramsey
2014 conf
ACIIDS (1)
Frantisek Turnovec, Jacek Mercik
2013 B conf
ICCCI
Jacek Mercik
2012 conf
ICCCI (2)
Jacek Mercik
2011 ch.
Consensual Processes
Jacek Mercik
redb/utils/wrapper_run_sort_files.py
← Index redb/utils/wrapper_run_sort_files.py python
import os
import subprocess
import multiprocessing
import logging
from concurrent.futures import ThreadPoolExecutor
import signal

# Variables (replace these with actual values)
src_root_folder_path = "/mnt/samples/consilience/malware/vx-bazaar-expanded/"
dst_root_folder_path = "/mnt/samples/consilience/malware/_sorted_samples/vx-bazaar/"
log_folder_path = "/mnt/samples/consilience/malware/ops-logs/"
folder_names = ["Bazaar.2022.01", "Bazaar.2022.02", "Bazaar.2022.03", "Bazaar.2022.04"]  # List of folder names
script_name = "sort_files_by_type.py"
dry_run = True  # Set to True for testing without execution


# Ensure the log folder exists
os.makedirs(log_folder_path, exist_ok=True)

# Configure logging
main_log_name = "20241229-main_script.log"
main_log_file = os.path.join(log_folder_path, main_log_name)
if not os.path.exists(main_log_file):
    open(main_log_file, 'a').close()  # Create the log file if it doesn't exist
# main_log_file = os.path.join(log_folder_path, main_log_name)
# try:
#     with open(main_log_file, 'a') as f:
#         print(f"Successfully created/opened log file at: {main_log_file}")
#     # Verify the file exists
#     if os.path.exists(main_log_file):
#         print(f"Confirmed log file exists at: {main_log_file}")
#         print(f"File size: {os.path.getsize(main_log_file)} bytes")
# except Exception as e:
#     print(f"Error with log file: {e}")

# Configure logging
logging.basicConfig(
    filename=main_log_file,
    level=logging.INFO,
    format="%(asctime)s - %(levelname)s - %(message)s",
    force=True,
    filemode='a'
)

logging.info("Logging initialization test message")

# Add logging handler to flush immediately
class FlushableFileHandler(logging.FileHandler):
    def emit(self, record):
        super().emit(record)
        self.flush()

for handler in logging.getLogger().handlers:
    if isinstance(handler, logging.FileHandler):
        handler.flush()

# Global flag for graceful termination
terminate_flag = False

def signal_handler(signum, frame):
    global terminate_flag
    terminate_flag = True
    logging.warning("Termination signal received. Attempting to shut down gracefully.")

# Register signal handler
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)

# Define the worker function
def process_folder(folder):
    global terminate_flag
    if terminate_flag:
        logging.warning(f"Skipping folder {folder} due to termination signal.")
        return

    try:
        # Extract the word and date fields from the folder name
        word, year, month = folder.split('.')

        # Construct source, destination, and log paths
        src_folder = os.path.join(src_root_folder_path, folder)
        dst_folder = os.path.join(dst_root_folder_path, folder)
        log_file = os.path.join(
            log_folder_path, f"20241229-SORT_FILES-bazaar_{year}.{month}.output.log"
        )

        if not os.path.exists(log_file):
            open(log_file, 'a').close()  # Create the log file if it doesn't exist

        # Build the command
        command = ["python3", script_name, src_folder, dst_folder]

        if dry_run:
            logging.info(f"Dry run: Would execute: {command}, log: {log_file}")
            print(f"Dry run: Would execute: {command}, log: {log_file}")
        else:
            logging.info(f"Starting task for folder: {folder}")
            with open(log_file, "w") as log:
                subprocess.run(command, stdout=log, stderr=subprocess.STDOUT, check=True)
            logging.info(f"Task completed for folder: {folder}")

    except subprocess.CalledProcessError as e:
        logging.error(f"Subprocess failed for folder {folder} with return code {e.returncode}: {e}")
        print(f"Subprocess failed for folder {folder}: {e}")
    except Exception as e:
        logging.error(f"Error while processing folder {folder}: {e}")
        print(f"Error while processing folder {folder}: {e}")

# Determine the number of processors
num_processors = multiprocessing.cpu_count()

try:
    # Process folders using ThreadPoolExecutor
    with ThreadPoolExecutor(max_workers=num_processors-1) as executor:
        executor.map(process_folder, folder_names)

except Exception as e:
    logging.critical(f"Critical error in the main execution: {e}")
    print(f"Critical error: {e}")

logging.info("All tasks completed.")
print("All tasks completed.")