Kalpathi R. Subramanian

69 papers A* 2A 17B 1Misc 4Journal 20Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Erik Saule, Kalpathi R. Subramanian, Razvan C. Bunescu
2025 J jnl
IEEE Trans. Vis. Comput. Graph.
Matthew Mcquaigue, Kalpathi R. Subramanian, Paula Goolkasian, Zachary Wartell
2025 J jnl
J. Comput. Sci. Coll.
Kalpathi R. Subramanian, Erik Saule
2024 J jnl
Educ. Inf. Technol.
David Burlinson, Matthew Mcquaigue, Alec Goncharow, Kalpathi R. Subramanian, Erik Saule, Jamie Payton, Paula Goolkasian
2024 J jnl
J. Comput. Sci. Coll.
Matthew Mcquaigue, Mack Larson, Philip Smith, Sydney Melech, Kalpathi R. Subramanian, Erik Saule
2023 conf
SIGCSE (2)
Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2023 conf
SC Workshops
Matthew Mcquaigue, Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2022 conf
SIGCSE (2)
Kathryn Perry, Cedric Sirianni, Owen Bechtel, Kalpathi R. Subramanian, Erik Saule
2022 conf
SIGCSE (2)
Kalpathi R. Subramanian, Erik Saule, Jamie Payton, Matthew Mcquaigue
2022 J jnl
J. Comput. Sci. Coll.
Matthew Mcquaigue, Jay Strahler, Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2021 J jnl
J. Comput. Sci. Coll.
Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2021 J jnl
J. Parallel Distributed Comput.
Alec Goncharow, Matthew Mcquaigue, Erik Saule, Kalpathi R. Subramanian, Paula Goolkasian, Jamie Payton
2021 A conf
SIGCSE
Alec Goncharow, Matthew Mcquaigue, Erik Saule, Kalpathi R. Subramanian, Jamie Payton, Paula Goolkasian
2021 A conf
SIGCSE
Kalpathi R. Subramanian, Jamie Payton, Matthew Mcquaigue
2021 J jnl
J. Comput. Sci. Coll.
Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2021 A conf
SIGCSE
Kathryn Perry, Kalpathi R. Subramanian, Erik Saule
2021 conf
HiPC Workshops
Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2020 A conf
SIGCSE
Matthew Mcquaigue, Allie Beckman, David Burlinson, Luke Sloop, Alec Goncharow, Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2020 A conf
SIGCSE
Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2020 J jnl
J. Comput. Sci. Coll.
Allie Beckman, Matthew Mcquaigue, Alec Goncharow, David Burlinson, Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2020 A conf
SIGCSE
Kalpathi R. Subramanian, Kiran Budhrani
2020 J jnl
J. Comput. Sci. Coll.
Jay Strahler, Matthew Mcquaigue, Alec Goncharow, David Burlinson, Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2020 J jnl
J. Comput. Sci. Coll.
Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2020 J jnl
J. Comput. Sci. Coll.
Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2020 J jnl
J. Comput. Sci. Coll.
Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2019 A conf
SIGCSE
Kalpathi R. Subramanian, Kiran Budhrani
2019 A conf
SIGCSE
Kalpathi R. Subramanian, Jamie Payton, Erik Saule
2019 A conf
SIGCSE
David Burlinson, Erik Saule, Kalpathi R. Subramanian
2019 conf
IPDPS Workshops
Alec Goncharow, Anna Boekelheide, Matthew Mcquaigue, David Burlinson, Erik Saule, Kalpathi R. Subramanian, Jamie Payton
2018 J jnl
IEEE Trans. Vis. Comput. Graph.
David Burlinson, Kalpathi R. Subramanian, Paula Goolkasian
2018 A conf
SIGCSE
Austin Cory Bart, Kalpathi R. Subramanian, Ruth E. Anderson, Nadeem Abdul Hamid
2018 A conf
SIGCSE
Matthew Mcquaigue, David Burlinson, Kalpathi R. Subramanian, Erik Saule, Jamie Payton
2017 A conf
SIGCSE
Kalpathi R. Subramanian, Jamie Payton
2016 conf
EnvirVis@EuroVis
David Burlinson, Kara Koehrn, Kalpathi R. Subramanian, Aidong Lu
2016 A conf
SIGCSE
David Burlinson, Mihai Mehedint, Chris Grafer, Kalpathi R. Subramanian, Jamie Payton, Paula Goolkasian, Michael Youngblood, Robert Kosara
2016 A conf
SIGCSE
Kalpathi R. Subramanian, Jamie Payton, David Burlinson, Mihai Mehedint
2016 Misc conf
Visualization and Data Analysis
David Burlinson, Kalpathi R. Subramanian, Aidong Lu
2015 J jnl
Inf. Vis.
Jack Guest, Todd Eaglin, Kalpathi R. Subramanian, William Ribarsky
2013 conf
PerCom Workshops
Todd Eaglin, Kalpathi R. Subramanian, Jamie Payton
2013 J jnl
Int. J. Comput. Assist. Radiol. Surg.
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2013 J jnl
Comput. Medical Imaging Graph.
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2013 conf
Image-Guided Procedures
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2013 Misc conf
Visualization and Data Analysis
Jack Guest, Todd Eaglin, Kalpathi R. Subramanian, William Ribarsky
2012 conf
Computer-Aided Diagnosis
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2011 conf
Computer-Aided Diagnosis
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2010 conf
Computer-Aided Diagnosis
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2010 conf
COM.Geo
William Ribarsky, Kalpathi R. Subramanian, Jianfei Liu, Onyewuchi Obirieze, Jack Guest
2010 conf
MICCAI (2)
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo
2009 ch.
Advances in Information and Intelligent Systems
Jianfei Liu, Kalpathi R. Subramanian
2008 conf
CVPR Workshops
Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo, Robert Van Uitert
2007 B conf
ITiCSE
T. Cassen, Kalpathi R. Subramanian, Jeffrey Alexander, Drew Linderman, Asis Nasipuri
2007 conf
Image-Guided Procedures
Jianfei Liu, Kalpathi R. Subramanian
2005 conf
CVPR (1)
Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi R. Subramanian
2005 conf
SIGGRAPH Courses
Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi R. Subramanian
2005 conf
SIGGRAPH Courses
Terry S. Yoo, Bryan S. Morse, Kalpathi R. Subramanian, Penny Rheingans, Michael J. Ackerman
2005 Misc conf
Visualization and Data Analysis
Joshua Foster, Kalpathi R. Subramanian, Gail-Joon Ahn
2005 conf
SIGGRAPH Courses
Bryan S. Morse, Terry S. Yoo, Penny Rheingans, David T. Chen, Kalpathi R. Subramanian
2004 A* conf
ICDE
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liying Zhang
2004 conf
INFOVIS
Joshua Foster, Kalpathi R. Subramanian, Robert Herring, Gail-Joon Ahn
2004 Misc conf
Visualization and Data Analysis
Kalpathi R. Subramanian, David P. Bashor, M. T. Miller, Joshua Foster
2003 conf
BIOKDD
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
2002 A* conf
KDD
Xintao Wu, Jianping Fan, Kalpathi R. Subramanian
2001 A conf
MICCAI
Terry S. Yoo, Kalpathi R. Subramanian
2001 conf
Shape Modeling International
Bryan S. Morse, Terry S. Yoo, David T. Chen, Penny Rheingans, Kalpathi R. Subramanian
1997 J jnl
IEEE Trans. Vis. Comput. Graph.
Kalpathi R. Subramanian, Bruce F. Naylor
1997 conf
Visualization in Scientific Computing
Kalpathi R. Subramanian, Dina M. Lawrence, M. Taghi Mostafavi
1997 J jnl
IEEE Computer Graphics and Applications
Kalpathi R. Subramanian, David P. Bashor, William V. Hasty, Sandra M. Merkel
1992 A conf
IEEE Visualization
Kalpathi R. Subramanian, Bruce F. Naylor
1990 A conf
IEEE Visualization
Kalpathi R. Subramanian, Donald S. Fussell
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()