Vera Colombo

30 papers A 1C 2Journal 11Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cyberpsychology Behav. Soc. Netw.
Lucia Greco, Silvia Bolognini, Andrea Lizio, Marta Mondellini, Vera Colombo, Jacopo Casiraghi, Raffaele Pugliese, Stefano Regondi, Valeria Ada Sansone, Elena Carraro
2025 conf
MetroXRAINE
Roberto Pierdicca, Cecilia Vona, Sina Rahimzadeh, Flavio Tonetto, Vera Colombo, Silvia Bolognini, Stefano Regondi, Raffaele Pugliese
2025 conf
MetroXRAINE
Sara Arlati, Simone Costantini, Camilla Zanco, Marta Mondellini, Vera Colombo, Marco Sacco, Giovanna Rizzo, Fabio Storm, Alfonso Mastropietro
2025 conf
MetroXRAINE
Silvia Badini, Vera Colombo, Stefano Regondi, Raffaele Pugliese
2025 J jnl
Frontiers Virtual Real.
Vera Colombo, Marta Mondellini, Andrea Aliverti, Marco Sacco
2024 J jnl
Comput. Biol. Medicine
Daniele Spoladore, Vera Colombo, Vania Campanella, Christian Lunetta, Marta Mondellini, Atieh Mahroo, Federica Cerri, Marco Sacco
2024 J jnl
Int. J. Hum. Comput. Interact.
Marta Mondellini, Ileana Pirovano, Vera Colombo, Sara Arlati, Marco Sacco, Giovanna Rizzo, Alfonso Mastropietro
2024 conf
RTSI
Atieh Mahroo, Vera Colombo, Daniele Spoladore, Marco Sacco
2024 J jnl
Virtual Real.
Sebastian Rutkowski, Aleksandra Jakóbczyk, Kacper Abrahamek, Aleksandra Nowakowska, Magdalena Nowak, David Liska, Ladislav Batalik, Vera Colombo, Marco Sacco
2023 conf
MetroXRAINE
Sara Arlati, Vera Colombo, Angelo Davalli, Massimo Improta, Nicola Ortolani, Marco Sacco
2023 C conf
PRO-VE
Daniele Spoladore, Atieh Mahroo, Vera Colombo, Marco Sacco
2023 conf
XR (2)
Marta Mondellini, Sebastian Rutkowski, Vera Colombo
2023 C conf
PRO-VE
Vera Colombo, Marta Mondellini, Alessia Fumagalli, Marco Sacco
2023 conf
SeGAH
Marta Mondellini, Vera Colombo, Maddalena Mauri, Federica Tizzoni, Arianna Tarabelloni, Maria Nobile, Sara Arlati, Eleonora Rosi, Marco Sacco
2023 J jnl
Sensors
Simone Costantini, Mattia Chiappini, Giorgia Malerba, Carla Dei, Anna Falivene, Sara Arlati, Vera Colombo, Emilia Biffi, Fabio Alexander Storm
2022 conf
ICCHP-AAATE (2)
Giovanni Tauro, Davide Felice Redaelli, Le An Dao, Alfonso Mastropietro, Marta Mondellini, Fabio Storm, Vera Colombo, Sara Arlati, Ileana Pirovano, Mattia Chiappini, Carla Dei, Luca Greci, Matteo Malosio, Giovanna Rizzo, Gianluigi Reni, Marco Sacco
2022 conf
MeMeA
Vera Colombo, Giorgio Bocca, Marta Mondellini, Marco Sacco, Andrea Aliverti
2022 conf
XR (1)
Vera Colombo, Marta Mondellini, Giovanni Tauro, Giovanna Palumbo, Mauro Rossini, Emilia Biffi, Roberta Nossa, Alessia Fumagalli, Emilia Ambrosini, Alessandra Pedrocchi, Franco Molteni, Daniele Colombo, Gianluigi Reni, Marco Sacco, Sara Arlati
2022 A conf
SEAMS
Vera Colombo, Alessandro Tundo, Michele Ciavotta, Leonardo Mariani
2022 J jnl
CoRR
Vera Colombo, Alessandro Tundo, Michele Ciavotta, Leonardo Mariani
2022
Vera Colombo
2021 conf
PervasiveHealth
Francesca Santini, Giovanni Tauro, Maddalena Mazzali, Silvia Grazioli, Maddalena Mauri, Eleonora Rosi, Marco Pozzi, Arianna Tarabelloni, Federica Tizzoni, Filippo Maria Villa, Massimo Molteni, Maria Nobile, Marco Sacco, Sara Arlati, Vera Colombo
2020 conf
ICCHP (2)
Vera Colombo, Marta Mondellini, Alessandra Gandolfo, Alessia Fumagalli, Marco Sacco
2020 J jnl
Inf.
Maura Crepaldi, Vera Colombo, Stefano Mottura, Davide Baldassini, Marco Sacco, Alice Cancer, Alessandro Antonietti
2020 J jnl
Frontiers Comput. Sci.
Maura Crepaldi, Vera Colombo, Stefano Mottura, Davide Baldassini, Marco Sacco, Alice Cancer, Alessandro Antonietti
2019 J jnl
Sensors
Sara Arlati, Vera Colombo, Daniele Spoladore, Luca Greci, Elisa Pedroli, Silvia Serino, Pietro Cipresso, Karine Goulene, Marco Stramba-Badiale, Giuseppe Riva, Andrea Gaggioli, Giancarlo Ferrigno, Marco Sacco
2019 conf
EuroVR
Vera Colombo, Marta Mondellini, Alessandra Gandolfo, Alessia Fumagalli, Marco Sacco
2018 J jnl
Br. J. Educ. Technol.
Laura Colautti, Davide Baldassini, Vera Colombo, Stefano Mottura, Marco Sacco, Matteo Sozzi, Massimo Corbo, Maria Luisa Rusconi, Alessandro Antonietti
2017 conf
RTSI
Davide Baldassini, Vera Colombo, Daniele Spoladore, Marco Sacco, Sara Arlati
2017 conf
EuroVR
Maura Crepaldi, Vera Colombo, Davide Baldassini, Stefano Mottura, Alessandro Antonietti
s3-storage/s3_uploader.py
← Index s3-storage/s3_uploader.py python
# python s3_uploader.py /path/to/files repository_name --notes "Optional notes"
import hashlib
import multiprocessing
from multiprocessing import Pool
import sys
import logging
from logging.handlers import QueueHandler
from datetime import datetime
import os
import time
import json
from enum import Enum
import tempfile
import magic
from typing import Optional, Dict, Any
from dotenv import load_dotenv
from datetime import timezone

# File handling
import py7zr
import pyzipper
from magika import Magika

# S3 and database
from minio import Minio
import clickhouse_connect

load_dotenv(override=True)

class UploadResult(Enum):
    CORRECTLY = 0
    FAILED = 1
    SKIPPED = 2  # For duplicates

class FileNameFormatter(logging.Formatter):
    def format(self, record):
        record.filenameinfo = getattr(record, "filenameinfo", "unknown")
        return super().format(record)

def setup_logger(log_file, filename):
    """Set up a logger for a specific file"""
    logger = logging.getLogger(filename)
    if not logger.handlers:
        if os.getenv("SERVER_ENV") == "prod":
            logger.setLevel(logging.INFO)
        else:
            logger.setLevel(logging.DEBUG)
            
        # Create file handler
        handler = logging.FileHandler(log_file)
        formatter = FileNameFormatter(
            "%(asctime)s - %(filenameinfo)s - %(levelname)s - %(message)s"
        )
        handler.setFormatter(formatter)
        logger.addHandler(handler)
        logger.propagate = False
    return logger

def logger_thread(log_queue, log_file):
    handler = logging.FileHandler(log_file)
    formatter = FileNameFormatter(
        "%(asctime)s - %(filenameinfo)s - %(levelname)s - %(message)s"
    )
    handler.setFormatter(formatter)

    while True:
        try:
            record = log_queue.get()
            if record is None:
                break
            message = formatter.format(record)
            handler.stream.write(message + "\n")
            handler.stream.flush()
        except Exception:
            import traceback
            print("[ERR] Error in logger thread:", file=sys.stderr)
            traceback.print_exc(file=sys.stderr)

def get_s3_key(sha256: str, is_archived: bool, original_ext: str = None) -> str:
    """
    Generate S3 key using sharding pattern with appropriate extension
    
    Args:
        sha256: The file's SHA256 hash
        is_archived: Whether the file was already archived (zip/7z)
        original_ext: The original file extension (if any)
    """
    # If file was already archived, keep its extension
    if is_archived and original_ext and original_ext.lower() in ['.zip', '.7z']:
        extension = original_ext
    else:
        # For files we archived ourselves, use .zip
        extension = '.zip'
        
    return f"{sha256[:2]}/{sha256[2:4]}/{sha256}{extension}"

def process_single_file(args):
    """Independent worker function for processing a single file"""
    filepath, file_number, total_files, config, log_file = args
    filename = os.path.basename(filepath)
    base_logger = setup_logger(log_file, filename)
    extra = {"filenameinfo": filename}
    logger = logging.LoggerAdapter(base_logger, extra)
    s3_client = None
    ch_client = None

    try:
        logger.info(f"Processing file {file_number}/{total_files}: {filepath}")

        # Create connections for this process
        s3_client = Minio(
            config["s3_endpoint"],
            access_key=config["s3_access_key"],
            secret_key=config["s3_secret_key"],
            secure=True
        )
        
        ch_client = clickhouse_connect.get_client(
            host=config['clickhouse_host'],
            port=config['clickhouse_port'],
            username=config['clickhouse_user'],
            password=config['clickhouse_password'],
            database=config['clickhouse_database'],
            verify=config['clickhouse_verify']
        )

        # Process the file and get contents
        ext = os.path.splitext(filepath.lower())[1]
        is_archived = ext in ['.zip', '.7z']

        with tempfile.TemporaryDirectory() as temp_dir:
            try:
                if filename.startswith("."):
                    logger.debug(f"Skipping hidden file: {filename}")
                    return UploadResult.SKIPPED

                elif ext == ".zip":
                    logger.debug(f"Processing ZIP file: {filepath}")
                    with pyzipper.AESZipFile(filepath) as zf:
                        zf.pwd = b"infected"
                        filename = zf.namelist()[0]
                        zf.extractall(temp_dir)
                        extracted_path = os.path.join(temp_dir, filename)
                        
                        with open(extracted_path, "rb") as f:
                            file_content = f.read()
                        with open(filepath, "rb") as f:
                            archive_content = f.read()
                            
                elif ext == ".7z":
                    logger.debug(f"Processing 7z file: {filepath}")
                    with py7zr.SevenZipFile(filepath, mode="r", password="infected") as z:
                        z.extractall(path=temp_dir)
                        # Get first file in the archive
                        for root, _, files in os.walk(temp_dir):
                            if files:
                                filename = files[0]
                                extracted_path = os.path.join(root, filename)
                                break
                                
                        with open(extracted_path, "rb") as f:
                            file_content = f.read()
                        with open(filepath, "rb") as f:
                            archive_content = f.read()
                else:
                    logger.debug(f"Processing non-archived file: {filepath}")
                    # For non-archived files, create password protected zip
                    with open(filepath, "rb") as f:
                        file_content = f.read()
                    filename = os.path.basename(filepath)
                    
                    # Create password protected zip
                    with tempfile.NamedTemporaryFile(delete=False) as temp_zip:
                        with pyzipper.AESZipFile(
                            temp_zip.name,
                            'w',
                            compression=pyzipper.ZIP_LZMA,
                            encryption=pyzipper.WZ_AES
                        ) as zf:
                            zf.pwd = b'infected'
                            zf.writestr(filename, file_content)
                        
                        with open(temp_zip.name, 'rb') as f:
                            archive_content = f.read()
                    
                    os.unlink(temp_zip.name)

                # Calculate hash
                sha256 = hashlib.sha256(file_content).hexdigest()
                # s3_key = f"{sha256[:2]}/{sha256[2:4]}/{sha256}"
                s3_key = get_s3_key(sha256, is_archived, ext if is_archived else None)
                logger.debug(f"Calculated SHA256: {sha256}")

                # Check if exists in S3
                try:
                    s3_client.stat_object(config["s3_bucket"], s3_key)
                    exists = True
                    logger.debug(f"File exists in S3: {s3_key}")
                except:
                    exists = False
                    logger.debug(f"File does not exist in S3: {s3_key}")

                # Prepare metadata
                max_timestamp = int(datetime(9999, 12, 31, 23, 59, 59, tzinfo=timezone.utc).timestamp() * 1000)
                now = datetime.now(timezone.utc)
                now_timestamp = int(now.timestamp() * 1000)
                inverted_timestamp = datetime.fromtimestamp((max_timestamp - now_timestamp)/1000, tz=timezone.utc)


                data = [[
                    sha256,                     # String
                    filename,                   # String
                    config['repository'],       # String
                    len(file_content),         # UInt64
                    magic.from_buffer(file_content),        # String
                    magic.from_buffer(file_content, mime=True),  # String
                    Magika().identify_bytes(file_content).output.ct_label,  # String
                    now,                       # upload_date
                    now,                       # first_seen
                    inverted_timestamp,        # version_date for replacing
                    config['s3_bucket'],       # String
                    s3_key,                    # String
                    config['notes'] if config['notes'] else None  # Nullable(String)
                ]]

                column_names = [
                    'sha256', 'filename', 'repository', 'file_size',
                    'filetype', 'filetype_mime', 'filetype_magika',
                    'upload_date', 'first_seen', 'version_date', 's3_bucket', 's3_key', 'notes'
                ]

                column_type_names = [
                    'String', 'String', 'LowCardinality(String)', 'UInt64',
                    'String', 'String', 'String',
                    'DateTime64(3, \'UTC\')', 'DateTime64(3, \'UTC\')', 
                    'DateTime64(3, \'UTC\')', 'String', 'String', 'Nullable(String)'
                ]
                
                if exists:
                    # Just update database
                    try:
                        ch_client.insert(
                            'samples_catalog',
                            data,
                            column_names=column_names,
                            column_type_names=column_type_names,
                            settings={'input_format_values_interpret_expressions': 0}
                        )
                        logger.info(f"Updated metadata for existing file: {sha256}")
                    except Exception as e:
                        logger.error(f"Error inserting metadata: {str(e)}")
                        import traceback
                        logger.error(f"Full traceback: {traceback.format_exc()}")
                    return UploadResult.SKIPPED
                else:
                    try:    
                        # Upload to S3 and insert metadata
                        import io
                        file_data = io.BytesIO(archive_content)
                        s3_client.put_object(
                            bucket_name=config['s3_bucket'],
                                object_name=s3_key,
                                data=file_data,
                                length=len(archive_content)
                            )
                        logger.info(f"Uploaded to S3: {s3_key}")
                    except Exception as e:
                        logger.error(f"Error uploading to S3: {str(e)}")
                        import traceback
                        logger.error(f"Full traceback: {traceback.format_exc()}")
                        return UploadResult.FAILED
                    
                    try:
                        ch_client.insert(
                            'samples_catalog',
                            data,
                            column_names=column_names,
                            column_type_names=column_type_names,
                            settings={'input_format_values_interpret_expressions': 0}
                        )
                        logger.info(f"Successfully processed file: {sha256}")
                        return UploadResult.CORRECTLY
                    except Exception as e:
                        logger.error(f"Error inserting metadata: {str(e)}")
                        import traceback
                        logger.error(f"Full traceback: {traceback.format_exc()}")
                        return UploadResult.FAILED

            except Exception as e:
                logger.error(f"Error processing file: {str(e)}")
                import traceback
                logger.error(f"Full traceback: {traceback.format_exc()}")
                return UploadResult.FAILED

    except Exception as e:
        logger.error(f"Error in worker: {str(e)}")
        return UploadResult.FAILED
    finally:
        # if s3_client:
        #     s3_client.close()
        if ch_client:
            ch_client.close()
        if base_logger and base_logger.handlers:
            for handler in base_logger.handlers:
                handler.close()
            base_logger.handlers.clear()

class S3Uploader:
    def __init__(self, path: str, repository: str, notes: Optional[str] = None):
        """
        Initialize S3 uploader
        
        Args:
            path: Path to file or directory to process
            repository: Repository name
            notes: Optional notes to add to all files
        """
        self.path = path
        self.repository = repository
        self.notes = notes
        
        # Initialize multiprocessing components
        self.manager = multiprocessing.Manager()
        # self.log_queue = self.manager.Queue()
        self.total_results = self.manager.dict({result: 0 for result in UploadResult})
        
        # Set up logging
        self.today = datetime.today().strftime("%Y%m%dT%H%M%S")
        # self.log_file = os.getenv("LOG_FILE_PATH", "./logs/") + f"{self.today}-{self.repository}-upload.txt"
        log_base_path = os.getenv("LOG_FILE_PATH")
        if not log_base_path:
            log_base_path = os.path.join(os.getcwd(), "logs")  # Default to ./logs directory
        self.log_file = os.path.join(log_base_path, f"{self.today}-{self.repository}-upload.txt")
        os.makedirs(os.path.dirname(self.log_file), exist_ok=True)

        # Initialize S3 client
        self.s3_client = Minio(
            os.getenv("S3_ENDPOINT"),
            access_key=os.getenv("S3_ACCESS_KEY"),
            secret_key=os.getenv("S3_SECRET_KEY"),
            secure=True  # Set to False if not using HTTPS
        )
        self.bucket_name = os.getenv("S3_BUCKET")

        # Initialize ClickHouse client
        self.ch_client = clickhouse_connect.get_client(
            host=os.getenv('CLICKHOUSE_HOST'),
            port=os.getenv('CLICKHOUSE_PORT'),
            username=os.getenv('CLICKHOUSE_USER'),
            password=os.getenv('CLICKHOUSE_PASSWORD'),
            database=os.getenv('CLICKHOUSE_DATABASE'),
            verify=os.getenv('CLICKHOUSE_ENFORCE_SSL', 'False')
        )
        
        # Ensure database table exists
        self._create_table()

    def _create_table(self):
        """Create the file catalog table if it doesn't exist"""
        create_table_query = """
            CREATE TABLE IF NOT EXISTS samples_catalog (
                sha256 String,
                filename String,
                repository LowCardinality(String),
                file_size UInt64,
                filetype String,
                filetype_mime String,
                filetype_magika String,
                upload_date DateTime64(3, 'UTC'),
                first_seen DateTime64(3, 'UTC'),
                version_date DateTime64(3, 'UTC'),  -- This will be inverted timestamp
                s3_bucket String,
                s3_key String,
                notes Nullable(String),
                PRIMARY KEY (sha256, repository)
            ) ENGINE = ReplacingMergeTree(version_date)
            ORDER BY (sha256, repository)
        """
        self.ch_client.command(create_table_query)

    # # def upload(self):
    # #     """Main upload function with multiprocessing support"""
    # #     start_time = time.time()

    # #     config = {
    # #         "s3_endpoint": os.getenv("S3_ENDPOINT"),
    # #         "s3_access_key": os.getenv("S3_ACCESS_KEY"),
    # #         "s3_secret_key": os.getenv("S3_SECRET_KEY"),
    # #         "s3_bucket": os.getenv("S3_BUCKET"),
    # #         "clickhouse_host": os.getenv("CLICKHOUSE_HOST"),
    # #         "clickhouse_port": os.getenv("CLICKHOUSE_PORT"),
    # #         "clickhouse_user": os.getenv("CLICKHOUSE_USER"),
    # #         "clickhouse_password": os.getenv("CLICKHOUSE_PASSWORD"),
    # #         "clickhouse_database": os.getenv("CLICKHOUSE_DATABASE"),
    # #         "clickhouse_verify": os.getenv("CLICKHOUSE_ENFORCE_SSL", "False"),
    # #         "repository": self.repository,
    # #         "notes": self.notes
    # #     }

    # #     try:
    # #         # Get list of files
    # #         if os.path.isfile(self.path):
    # #             files = [self.path] if not self.path.endswith('.txt') else [
    # #                 line.strip() for line in open(self.path) 
    # #                 if line.strip() and not os.path.basename(line.strip()).startswith('.')
    # #             ]
    # #         elif os.path.isdir(self.path):
    # #             files = [
    # #                 os.path.join(root, file)
    # #                 for root, _, files in os.walk(self.path)
    # #                 for file in files
    # #                 if not file.startswith('.')
    # #             ]
    # #         else:
    # #             print(f"[ERR] Invalid path: {self.path}")
    # #             return

    # #         total_files = len(files)
    # #         print(f"Found {total_files} files to process")

    # #         with Pool(processes=max(1, multiprocessing.cpu_count() - 1)) as pool:
    # #             results = pool.map(
    # #                 process_single_file,
    # #                 [(f, i + 1, total_files, config, self.log_file) for i, f in enumerate(files)]
    # #             )

    # #         # Update statistics
    # #         for result in results:
    # #             if result is not None:
    # #                 self.total_results[result] += 1

    # #         # Generate summary
    # #         end_time = time.time()
    # #         elapsed_time = end_time - start_time
    # #         elapsed_time_pretty = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))

    # #         summary = (
    # #             f"\n\nUpload finished for {self.path}"
    # #             f"\nTime required: {elapsed_time_pretty}"
    # #             f"\nResults:"
    # #             f"\n- Total processed: {sum(self.total_results.values())}"
    # #             f"\n- Successfully uploaded: {self.total_results[UploadResult.CORRECTLY]}"
    # #             f"\n- Skipped (already exists): {self.total_results[UploadResult.SKIPPED]}"
    # #             f"\n- Failed: {self.total_results[UploadResult.FAILED]}\n"
    # #         )

    # #         with open(self.log_file, "a") as f:
    # #             f.write(summary)

    # #         print(summary)

    # #     except Exception as e:
    # #         print(f"[ERR] Error in upload process: {str(e)}")

    # def upload(self):
    #     """Main upload function with multiprocessing support"""
    #     start_time = time.time()
    #     BATCH_SIZE = 1000  # Process files in batches of 1000

    #     config = {
    #         "s3_endpoint": os.getenv("S3_ENDPOINT"),
    #         "s3_access_key": os.getenv("S3_ACCESS_KEY"),
    #         "s3_secret_key": os.getenv("S3_SECRET_KEY"),
    #         "s3_bucket": os.getenv("S3_BUCKET"),
    #         "clickhouse_host": os.getenv("CLICKHOUSE_HOST"),
    #         "clickhouse_port": os.getenv("CLICKHOUSE_PORT"),
    #         "clickhouse_user": os.getenv("CLICKHOUSE_USER"),
    #         "clickhouse_password": os.getenv("CLICKHOUSE_PASSWORD"),
    #         "clickhouse_database": os.getenv("CLICKHOUSE_DATABASE"),
    #         "clickhouse_verify": os.getenv("CLICKHOUSE_ENFORCE_SSL", "False"),
    #         "repository": self.repository,
    #         "notes": self.notes
    #     }

    #     try:
    #         # Get list of files
    #         if os.path.isfile(self.path):
    #             files = [self.path] if not self.path.endswith('.txt') else [
    #                 line.strip() for line in open(self.path) 
    #                 if line.strip() and not os.path.basename(line.strip()).startswith('.')
    #             ]
    #         elif os.path.isdir(self.path):
    #             files = [
    #                 os.path.join(root, file)
    #                 for root, _, files in os.walk(self.path)
    #                 for file in files
    #                 if not file.startswith('.')
    #             ]
    #         else:
    #             print(f"[ERR] Invalid path: {self.path}")
    #             return

    #         total_files = len(files)
    #         print(f"Found {total_files} files to process")

    #         # Process files in batches
    #         for i in range(0, total_files, BATCH_SIZE):
    #             batch_files = files[i:i + BATCH_SIZE]
    #             batch_start = i + 1
    #             batch_end = min(i + BATCH_SIZE, total_files)
    #             print(f"\nProcessing batch {batch_start}-{batch_end} of {total_files}")
                
    #             with Pool(processes=max(1, multiprocessing.cpu_count() - 1)) as pool:
    #                 batch_results = pool.map(
    #                     process_single_file,
    #                     [(f, j + 1, total_files, config, self.log_file) 
    #                         for j, f in enumerate(batch_files, start=i)]
    #                 )
                    
    #                 # Update statistics for this batch
    #                 for result in batch_results:
    #                     if result is not None:
    #                         self.total_results[result] += 1

    #                 # Print intermediate summary
    #                 print(f"Batch {batch_start}-{batch_end} completed:")
    #                 print(f"- Successfully uploaded: {sum(1 for r in batch_results if r == UploadResult.CORRECTLY)}")
    #                 print(f"- Skipped (exists): {sum(1 for r in batch_results if r == UploadResult.SKIPPED)}")
    #                 print(f"- Failed: {sum(1 for r in batch_results if r == UploadResult.FAILED)}")

    #         # Generate final summary
    #         end_time = time.time()
    #         elapsed_time = end_time - start_time
    #         elapsed_time_pretty = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))

    #         summary = (
    #             f"\n\nUpload finished for {self.path}"
    #             f"\nTime required: {elapsed_time_pretty}"
    #             f"\nResults:"
    #             f"\n- Total processed: {sum(self.total_results.values())}"
    #             f"\n- Successfully uploaded: {self.total_results[UploadResult.CORRECTLY]}"
    #             f"\n- Skipped (already exists): {self.total_results[UploadResult.SKIPPED]}"
    #             f"\n- Failed: {self.total_results[UploadResult.FAILED]}\n"
    #         )

    #         with open(self.log_file, "a") as f:
    #             f.write(summary)

    #         print(summary)

    #     except Exception as e:
    #         print(f"[ERR] Error in upload process: {str(e)}")

    def upload(self):
        """Main upload function with multiprocessing support"""
        start_time = time.time()
        BATCH_SIZE = 1000  # Process files in batches of 1000

        config = {
            "s3_endpoint": os.getenv("S3_ENDPOINT"),
            "s3_access_key": os.getenv("S3_ACCESS_KEY"),
            "s3_secret_key": os.getenv("S3_SECRET_KEY"),
            "s3_bucket": os.getenv("S3_BUCKET"),
            "clickhouse_host": os.getenv("CLICKHOUSE_HOST"),
            "clickhouse_port": os.getenv("CLICKHOUSE_PORT"),
            "clickhouse_user": os.getenv("CLICKHOUSE_USER"),
            "clickhouse_password": os.getenv("CLICKHOUSE_PASSWORD"),
            "clickhouse_database": os.getenv("CLICKHOUSE_DATABASE"),
            "clickhouse_verify": os.getenv("CLICKHOUSE_ENFORCE_SSL", "False"),
            "repository": self.repository,
            "notes": self.notes
        }

        try:
            # Get all existing filenames for this repository
            query = f"SELECT filename FROM samples_catalog WHERE repository = '{self.repository}'"
            # existing_files = set()
            # for row in self.ch_client.query(query).result_rows:
            #     filename = os.path.splitext(row[0])[0]  # Strip extension
            #     existing_files.add(filename)
            existing_files = set(row[0] for row in self.ch_client.query(query).result_rows)
            print(f"Found {len(existing_files)} existing files in repository")

            # Get list of files to process
            if os.path.isfile(self.path):
                files = [self.path] if not self.path.endswith('.txt') else [
                    line.strip() for line in open(self.path) 
                    if line.strip() and not os.path.basename(line.strip()).startswith('.')
                ]
            elif os.path.isdir(self.path):
                files = [
                    os.path.join(root, file)
                    for root, _, files in os.walk(self.path)
                    for file in files
                    if not file.startswith('.')
                ]
            else:
                print(f"[ERR] Invalid path: {self.path}")
                return

            # Filter out files that are already in the repository
            files_to_process = []
            for f in files:
                basename = os.path.splitext(os.path.basename(f))[0]
                if basename not in existing_files:
                    files_to_process.append(f)

            total_files = len(files_to_process)
            skipped_files = len(files) - total_files
            print(f"Found {total_files} new files to process (skipped {skipped_files} existing files)")

            if total_files == 0:
                print("No new files to process")
                return

            # Process files in batches
            for i in range(0, total_files, BATCH_SIZE):
                batch_files = files_to_process[i:i + BATCH_SIZE]
                batch_start = i + 1
                batch_end = min(i + BATCH_SIZE, total_files)
                print(f"\nProcessing batch {batch_start}-{batch_end} of {total_files}")
                
                with Pool(processes=max(1, multiprocessing.cpu_count() - 1)) as pool:
                    batch_results = pool.map(
                        process_single_file,
                        [(f, j + 1, total_files, config, self.log_file) 
                        for j, f in enumerate(batch_files, start=i)]
                    )
                    
                    # Update statistics for this batch
                    for result in batch_results:
                        if result is not None:
                            self.total_results[result] += 1

                    # Print intermediate summary
                    print(f"Batch {batch_start}-{batch_end} completed:")
                    print(f"- Successfully uploaded: {sum(1 for r in batch_results if r == UploadResult.CORRECTLY)}")
                    print(f"- Skipped (exists): {sum(1 for r in batch_results if r == UploadResult.SKIPPED)}")
                    print(f"- Failed: {sum(1 for r in batch_results if r == UploadResult.FAILED)}")

            # Generate final summary
            end_time = time.time()
            elapsed_time = end_time - start_time
            elapsed_time_pretty = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))

            summary = (
                f"\n\nUpload finished for {self.path}"
                f"\nTime required: {elapsed_time_pretty}"
                f"\nResults:"
                f"\n- Files already in repository: {skipped_files}"
                f"\n- New files processed: {total_files}"
                f"\n- Successfully uploaded: {self.total_results[UploadResult.CORRECTLY]}"
                f"\n- Skipped (already exists): {self.total_results[UploadResult.SKIPPED]}"
                f"\n- Failed: {self.total_results[UploadResult.FAILED]}\n"
            )

            with open(self.log_file, "a") as f:
                f.write(summary)

            print(summary)

        except Exception as e:
            print(f"[ERR] Error in upload process: {str(e)}")
            import traceback
            print(traceback.format_exc())

if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description='Upload malware samples to S3 and catalog them.')
    parser.add_argument('path', help='Path to file or directory to process')
    parser.add_argument('repository', help='Repository name')
    parser.add_argument('--notes', help='Optional notes to add to all files', default=None)
    
    args = parser.parse_args()
    
    uploader = S3Uploader(args.path, args.repository, args.notes)
    uploader.upload()