Wei Lu

19 papers B 5Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Appl. Soft Comput.
Susu Kang, Zhiyuan Chen, Laquan Li, Wei Lu, X. Sharon Qi, Shan Tan
2021 J jnl
Comput. Methods Programs Biomed.
Wookjin Choi, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2020 J jnl
Neurocomputing
Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan
2018 conf
ShapeMI@MICCAI
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2018 J jnl
CoRR
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2018 conf
DATRA/PIPPI@MICCAI
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
2018 J jnl
CoRR
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
2018 J jnl
Medical Image Anal.
Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis
2017 J jnl
Comput. Vis. Image Underst.
Laquan Li, Jian Wang, Wei Lu, Shan Tan
2015 conf
Biomedical Applications in Molecular, Structural, and Functional Imaging
Jiahui Wang, Min Kyu Kang, Seth Kligerman, Wei Lu
2008 J jnl
Comput. Methods Programs Biomed.
Wei Lu, Jinglu Tan, Keqing Zhang, Bo Lei
2008 J jnl
Pattern Recognit.
Wei Lu, Jinglu Tan
2007 J jnl
Int. J. Medical Informatics
Heinz Handels, René Werner, Rainer Schmidt, Thorsten Frenzel, Wei Lu, Daniel Low, Jan Ehrhardt
2007 B conf
Image Processing
Jan Ehrhardt, René Werner, Thorsten Frenzel, Wei Lu, Daniel Low, Heinz Handels
2006 conf
MIE
Heinz Handels, René Werner, Thorsten Frenzel, Dennis Säring, Wei Lu, Daniel Low, Jan Ehrhardt
2006 B conf
Image Processing
Wei Lu, Joo Hyun Song, Gary E. Christensen, Parag J. Parikh, Jeffrey D. Bradley, Daniel A. Low
2006 B conf
Image Processing
Jan Ehrhardt, René Werner, Thorsten Frenzel, Dennis Säring, Wei Lu, Daniel Low, Heinz Handels
2005 B conf
Image Processing
Wei Lu, Jinglu Tan, Randall C. Floyd
2004 B conf
Image Processing
Wei Lu, Jinglu Tan, Randall C. Floyd
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.")