Xiangwen Wang

66 papers A 4B 2C 6Journal 28Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Xiangwen Wang, Xun Li, Yikai Xu, Li Zou, Shunchang Su, Xianghong Lin
2026 J jnl
Neurocomputing
Shunchang Su, Xianghong Lin, Xiangwen Wang, Liping Wei
2026 J jnl
Biomed. Signal Process. Control.
Ruidong Ma, Xianghong Lin, Zhenyu Wang, Xiangwen Wang, Yuan Zhao
2026 J jnl
CoRR
Xiangwen Wang, Ananth Balashankar, Varun Chandrasekaran
2025 A conf
ICME
Cong Ming, Haojie Yuan, Xiangwen Wang, Qi Chu, Tao Gong, Bin Liu, Nenghai Yu
2025 J jnl
CoRR
Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Sanmi Koyejo
2025 J jnl
Int. J. Fuzzy Syst.
Dewen Cao, Xiangwen Wang, Jian Wu
2025 conf
ICIC (22)
Xiangwen Wang, Xun Li, Li Zou, Xianghong Lin
2025 conf
HCI (2)
Yan Yan, Yi Ji, Xiangwen Wang, Ruolin Tang, Ye Shen
2025 conf
ICIC (12)
Ruidong Ma, Xianghong Lin, Chun Li, Xiangwen Wang, Shunchang Su
2025 J jnl
CoRR
Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu
2024 J jnl
J. Chem. Inf. Model.
Xiangwen Wang, Derek Quinn, Thomas S. Moody, Meilan Huang
2024 conf
CCWC
Liu Yang, Xianghong Lin, Yuan Zhao, Xiangwen Wang, Xianrun He, Yaohui Zou
2024 J jnl
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiangwen Wang, Qiaoying Jin, Li Zou, Xianghong Lin, Yonggang Lu
2024 conf
BIBM
Jianwei Li, Yonggang Lu, Xiangwen Wang, Zhaobin Chang
2024 J jnl
Multim. Tools Appl.
Zhen Zhang, Wei Jiang, Yuan Zhang, Xiangwen Wang, Junjie Yang
2023 J jnl
Int. J. Comput. Sci. Math.
Xianghong Lin, Xiaomei Pi, Xiangwen Wang
2023 J jnl
Artif. Intell. Rev.
Xingcheng Ran, Yue Xi, Yonggang Lu, Xiangwen Wang, Zhenyu Lu
2023 J jnl
Neural Comput. Appl.
Zhaobin Chang, Yonggang Lu, Xingcheng Ran, Xiong Gao, Xiangwen Wang
2023 J jnl
IEEE Access
Li Zou, Xuemei Luo, Yan Zhang, Xiao Yang, Xiangwen Wang
2023 J jnl
IEEE Trans. Cogn. Dev. Syst.
Xianghong Lin, Tiandou Hu, Xiangwen Wang
2023 J jnl
Appl. Intell.
Han Lu, Xianghong Lin, Xiangwen Wang, Pangao Du
2022 J jnl
Microprocess. Microsystems
Xianghong Lin, Xiaomei Pi, Xiangwen Wang, Pangao Du, Han Lu
2022 J jnl
Briefings Bioinform.
Xiangwen Wang, Yonggang Lu, Xianghong Lin
2022 J jnl
Eng. Appl. Artif. Intell.
Zhaobin Chang, Yonggang Lu, Xiangwen Wang, Xingcheng Ran
2022 J jnl
Int. J. Comput. Sci. Math.
Xianghong Lin, Tingyu Ren, Jie Yang, Xiangwen Wang
2022 J jnl
Int. J. Mach. Learn. Cybern.
Tiandou Hu, Xianghong Lin, Xiangwen Wang, Pangao Du
2022 conf
BIBM
Xiangwen Wang, Yonggang Lu, Jianwei Li, Zequn Zhang
2021 C conf
CIS
Tingyu Ren, Xianghong Lin, Xiaofei Yang, Xiangwen Wang
2021 conf
ICONIP (3)
Xianghong Lin, Tiandou Hu, Xiangwen Wang, Han Lu
2021 conf
BIBM
Xiangwen Wang, Yonggang Lu
2021 J jnl
Comput. Intell. Neurosci.
Xianghong Lin, Mengwei Zhang, Xiangwen Wang
2020 conf
UEMCON
Xianghong Lin, Han Lu, Xiaomei Pi, Xiangwen Wang
2020 conf
UEMCON
Pangao Du, Xianghong Lin, Xiaomei Pi, Xiangwen Wang
2020 C conf
ISCAS
Xiangwen Wang, Zhengyi Luo, Pengbo Li, Li Song
2020 J jnl
IEEE Trans. Image Process.
Xiangwen Wang, En-Hui Yang, Da-ke He, Li Song, Xiang Yu
2020 J jnl
Neural Networks
Xiangwen Wang, Xianghong Lin, Xiaochao Dang
2019 conf
BIBM
Xiangwen Wang, Yonggang Lu, Zhenyu Lu, Xingcheng Ran, Jiaxuan Liu
2019 conf
FSDM
Xingcheng Ran, Yonggang Lu, Xiangwen Wang, Zhenyu Lu
2019 C conf
ISCAS
Zhengyi Luo, Yan Huang, Xiangwen Wang, Rong Xie, Li Song
2018 conf
ICONIP (4)
Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma
2018 C conf
ISCAS
Yan Huang, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang
2018 J jnl
Neurocomputing
Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang
2018 C conf
ISCAS
Hao Wang, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang
2018 A conf
AsiaCCS
Xiangwen Wang, Peng Peng, Chun Wang, Gang Wang
2017 C conf
CIS
Ying Li, Xianghong Lin, Xiangwen Wang, Fanqi Shen, Zuzheng Gong
2017 B conf
ICIP
Xiangwen Wang, Li Song, Zhengyi Luo, Rong Xie
2017 J jnl
Neurocomputing
Xianghong Lin, Xiangwen Wang, Zhanjun Hao
2016 conf
ICIC (3)
Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma
2016 conf
ICIC (2)
Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma
2015 conf
ICIC (1)
Xianghong Lin, Ning Zhang, Xiangwen Wang
2015 conf
SiPS
Jianfeng Xie, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang
2014 conf
ICIC (1)
Xianghong Lin, Xiangwen Wang, Wenbo Cui
2014 conf
BMSB
Zhongzhu Yang, Li Song, Zhengyi Luo, Xiangwen Wang
2014 conf
APSIPA
Qingxiong Huangyuan, Li Song, Zhengyi Luo, Xiangwen Wang, Yanan Zhao
2014 conf
APSIPA
Fangshun Mu, Li Song, Zhenyi Luo, Xiangwen Wang, Xiaokang Yang
2013 conf
ICME Workshops
Yanan Zhao, Li Song, Xiangwen Wang, Min Chen, Jia Wang
2013 J jnl
CoRR
Linjun Li, Xiangwen Wang
2013 conf
BMSB
Chen Chen, Li Song, Xiangwen Wang, Meng Guo
2013 conf
ICME Workshops
Xiangwen Wang, Li Song, Min Chen, Junjie Yang
2013 B conf
ICIP
Xiangwen Wang, Li Song, Min Chen, Junjie Yang
2010 conf
WCSP
Xiangwen Wang, Haiquan Wang, Yongzhong Huang
2009 J jnl
Multim. Tools Appl.
Xiangwen Wang, Jun Sun, Rong Xie, Songyu Yu, Wenjun Zhang
2008 A conf
ICME
Xiangwen Wang, Jun Sun, Rong Xie, Shibao Zheng, Songyu Yu
2007 A conf
ICME
Xiangwen Wang, Jun Sun, Yunqiang Liu, Renjie Li
1994 conf
ICIP (2)
Defu Cai, Xiangwen Wang, Huiying Liang
start.py
← Index start.py python
"""
# By repository (existing behavior, now uses repository_upload_sessions)
python start.py --s3 --repo bazaar --index_prefix redb

# By repository with notes filter
python start.py --s3 --repo vx-itw --s3-notes "ITW.0138" --index_prefix redb

# By single date (all repo samples first seen on Jan 15, 2025)
python start.py --date 2025-01-15 --index_prefix redb

# By date with repository filter
python start.py --date 2025-01-15 --repo bazaar --index_prefix redb

# By date range (inclusive)
python start.py --range 2025-01-01 2025-01-31 --index_prefix redb

# By date range with repository and notes filters
python start.py --range 2025-01-01 2025-01-31 --repo malshare --s3-notes "batch1" --index_prefix redb

# By filetype (magika) standalone - process all ELF samples across all repos
python start.py --s3 --magika elf --index_prefix redb

# By filetype with repository filter
python start.py --s3 --repo bazaar --magika elf --index_prefix redb

# By filetype with date range - process only PE samples in date range
python start.py --range 2025-01-01 2025-01-31 --magika pebin --index_prefix redb
"""

import argparse
import os
import sys
from datetime import datetime, timedelta
from redb.ingestor import *

"""
        # General modules
        'BasicPropertiesExtractor': BasicPropertiesExtractor,
        'HashExtractor': HashExtractor,
        'DIEExtractor': DIEExtractor,
        'CAPAExtractor': CAPAExtractor,
        'StringsExtractor': StringsExtractor,
        # PE modules
        'PEFeaturesExtractor': PEFeaturesExtractor,
        'PEImportExtractor': PEImportExtractor,
        'PEResourceExtractor': PEResourceExtractor,
        'PEOverlayExtractor': PEOverlayExtractor,
        'PESectionExtractor': PESectionExtractor,
        'PESignatureExtractor': PESignatureExtractor,
        'PEExtraFindings': PEExtraFindings,
        'PEInconstistencyTestsExtractor': PEInconstistencyTestsExtractor,
        'PEDotNetExtractor': PEDotNetExtractor,
"""


def main():
    # # path = "/mnt/samples/consilience/malware/test/test-unzipped/0242d90dc48a8931bad72ddbdba34bdd568fd30610dfe049c84968d425088c71/"
    # path = "/Users/p4c0/_samples/test-unzipped/0242d90dc48a8931bad72ddbdba34bdd568fd30610dfe049c84968d425088c71" #Stuxnet
    # # path = "/Volumes/backup/consilience/malware/test/test-unzipped/rhpv-673f91a2085358e3266f466845366f30cf741060edeb31e9a93e2c92033bba28"
    # # path = "/mnt/samples/consilience/malware/test/test-redb/"
    # # path = "/mnt/samples/consilience/malware/malpedia-pe/9bc81280113473de9ebfe54f689b4440287c37fff562e070d3a28f5269cadcf0_dump7_0x00400000"
    # # path = "/mnt/samples/consilience/malware/test/test-unzipped/379251974ebcd5c397f92ca45bb9620d"
    # path = "0242d90dc48a8931bad72ddbdba34bdd568fd30610dfe049c84968d425088c71" # rich header, UPX packer
    # # #path = "d8637bdbcfc9112fcb1f0167b398e771" #dotnet
    # path = "/Users/p4c0/_samples/test-unzipped/sig-8e035beb02a411f8a9e92d4cf184ad34f52bbd0a81a50c222cdd4706e4e45104" #code signed, protector use case for sections
    # path = "/Users/p4c0/_samples/test-unzipped/vsinfo-39d8ad95b0323c37bd3134ab93ac4af44c66a1a8443a41c1ac02cec19bb2816a"
    # # path = "/Volumes/backup/consilience/malware/_sorted_samples/vx-apt/pebin/69e679daaaff3832c39671bf2b813b5530a70fb763d381f9a6e22e3bc493c8a9.7z"
    # # path = "test_files/hello"
    # path = "/Volumes/backup/consilience/malware/test/test-re2db/"
    # # path = "/Users/p4c0/_samples/HEUR-Trojan-PSW.MSIL.Maslog.gen-0c9ae5cd740c1da7060b92ddb33f3a3893e361aad45a2accc64d43bd9a1a4106"
    # # path = "/Users/p4c0/_samples/test-unzipped/"
    # # # path = "/Volumes/backup/consilience/malware/_sorted_samples/vx-apt/pebin/7156bd8056c4b6b4e179a64370067d3f7a7cce0044f1352d41f3c2c73038d273.7z"
    # decompile = False
    # repo = "test-fixing"
    # index_prefix = "test4"
    # selected_modules = "all"
    # exporter_types = ['ClickHouse']

    # parser = argparse.ArgumentParser(
    #     description="Process binary files in a given path."
    # )
    # parser.add_argument("path", 
    #     help="File path, directory path, or path to a .txt file containing a list of files to process (one per line)")
    # parser.add_argument(
    #     "--repo", help="Repository name for sample source, used for loggfile name"
    # )
    # parser.add_argument("--index_prefix", help="Index prefix for ElasticSearch")
    # parser.add_argument(
    #     "-d",
    #     "--decompile",
    #     action="store_true",
    #     help="Optional flag, if set it will run ONLY the decompiler on the binary files",
    # )
    # parser.add_argument(
    #     "-m",
    #     "--modules",
    #     help="Comma-separated list of modules to run (e.g., 'BasicPropertiesExtractor,HashExtractor') or 'all' for all modules",
    #     default="all",
    # )
    # args = parser.parse_args()
    # path = args.path
    # index_prefix = args.index_prefix
    # decompile = args.decompile
    # repo = args.repo
    # selected_modules = args.modules

    # print(f"Decompile flag: {decompile}")
    # print(f"Repo: {repo}")
    # print(f"Selected modules: {selected_modules}")
    
    # if path.endswith('.txt'):
    #     print(f"Reading file list from: {path}")

    # Ingestor(path, decompile, repo, index_prefix, selected_modules).ingest()

    parser = argparse.ArgumentParser(
        description="Process binary files from local paths or S3 storage."
    )
    
    # Create a mutually exclusive group for input sources
    # Not required because --analyzed can be used standalone
    input_group = parser.add_mutually_exclusive_group(required=False)
    input_group.add_argument(
        "--path", 
        help="File path, directory path, or path to a .txt file containing a list of files to process (one per line)")
    input_group.add_argument(
        "--s3",
        action="store_true",
        help="Use S3 mode to fetch files from repository specified by --repo")
    input_group.add_argument(
        "--s3-solo",
        metavar="S3_KEY",
        help="Process a single S3 file by providing the S3 key (e.g., 09/f7/09f7d02a....zip)")
    input_group.add_argument(
        "--nomad-job",
        action="store_true",
        help="Run as Nomad job using environment variables for job parameters")
    input_group.add_argument(
        "--date",
        metavar="YYYY-MM-DD",
        help="Process samples first seen on a specific date (from repository_upload_sessions only)")
    input_group.add_argument(
        "--range",
        nargs=2,
        metavar=("START_DATE", "END_DATE"),
        help="Process samples first seen in a date range (inclusive, from repository_upload_sessions only). Format: YYYY-MM-DD YYYY-MM-DD")
    parser.add_argument(
        "--analyzed",
        action="store_true",
        help="Filter to samples already in the database (from basic_properties). "
             "Can be used standalone or combined with --range/--date to partition large runs")

    parser.add_argument(
        "--repo",
        required=False,
        help="Repository name for sample source, used for logging and S3 filtering (optional for --date/--range modes)")
    
    parser.add_argument(
        "--s3-notes",
        help="Optional filter for S3 files based on notes field (S3 mode only)")

    parser.add_argument(
        "--magika",
        help="Filter by filetype_magika (e.g., 'elf', 'pebin'). Overrides SUPPORTED_FORMATS env var. Can combine with --repo, --date, --range")

    parser.add_argument(
        "--index_prefix", default="redb",
        help="Index prefix for database (default: redb)")
    
    parser.add_argument(
        "-d",
        "--decompile",
        action="store_true",
        help="Optional flag, if set it will run ONLY the decompiler on the binary files",
    )

    parser.add_argument(
        "-y",
        "--yara",
        action="store_true",
        help="Optional flag, if set it will run ONLY the YARA scanner on the binary files",
    )

    parser.add_argument(
        "--with-yara",
        action="store_true",
        help="Add YARA scanning to feature extraction (runs both features and YARA)",
    )

    parser.add_argument(
        "-m",
        "--modules",
        help="Comma-separated list of modules to run (e.g., 'BasicPropertiesExtractor,HashExtractor') or 'all' for all modules",
        default="all",
    )

    parser.add_argument(
        "--decompile-modules",
        help="Comma-separated list of decompiler sub-modules to run when using -d/--decompile. "
             "Available: decompilation, disassembly, cfg, llil, strings, or 'all' (default: all)",
        default="all",
    )
    
    parser.add_argument(
        "--force",
        action="store_true",
        help="Force reprocessing of samples already in the database (bypasses deduplication check)",
    )

    parser.add_argument(
        "--rerun",
        action="store_true",
        help="Re-run decompiler modules on already-disassembled samples only. "
             "Queries code_binja_disassembled_functions_references instead of basic_properties. "
             "Requires --analyzed and --decompile.",
    )

    parser.add_argument(
        "--dry-run",
        action="store_true",
        help="Print results instead of uploading to database (useful for testing)",
    )
    
    args = parser.parse_args()

    # Extract arguments
    path = args.path
    index_prefix = args.index_prefix
    decompile = args.decompile
    yara_scan = args.yara
    with_yara = args.with_yara
    repo = args.repo
    selected_modules = args.modules
    decompile_modules = args.decompile_modules
    s3_mode = args.s3
    s3_notes = args.s3_notes
    magika_filter = args.magika
    dry_run = args.dry_run
    force = args.force
    rerun = args.rerun
    s3_solo = args.s3_solo
    s3_key = args.s3_solo if args.s3_solo else None
    nomad_job = args.nomad_job
    analyzed = args.analyzed
    date_filter = args.date
    date_range = args.range

    # Validate that at least one input source is provided
    has_input = any([path, s3_mode, s3_solo, nomad_job, date_filter, date_range, analyzed])
    if not has_input:
        print("ERROR: Must specify an input source: --path, --s3, --s3-solo, --nomad-job, --date, --range, or --analyzed")
        sys.exit(1)

    # Validate --analyzed combinations
    if analyzed and any([path, s3_mode, s3_solo, nomad_job]):
        print("ERROR: --analyzed cannot be combined with --path, --s3, --s3-solo, or --nomad-job")
        sys.exit(1)

    # Validate flag combinations
    if yara_scan and with_yara:
        print("ERROR: Cannot use both --yara and --with-yara")
        sys.exit(1)
    if decompile and with_yara:
        print("ERROR: --with-yara only works with feature extraction, not decompile")
        sys.exit(1)

    # Parse and validate --decompile-modules
    VALID_DECOMPILE_MODULES = {"all", "decompilation", "disassembly", "cfg", "llil", "strings"}
    if decompile_modules == "all":
        decompile_modules_set = {"all"}
    else:
        decompile_modules_set = {m.strip() for m in decompile_modules.split(",")}
        invalid = decompile_modules_set - VALID_DECOMPILE_MODULES
        if invalid:
            print(f"ERROR: Invalid decompile module(s): {', '.join(sorted(invalid))}")
            print(f"Available: {', '.join(sorted(VALID_DECOMPILE_MODULES - {'all'}))}")
            sys.exit(1)

    if not decompile and decompile_modules != "all":
        print("ERROR: --decompile-modules requires -d/--decompile flag")
        sys.exit(1)

    if rerun and not analyzed:
        print("ERROR: --rerun requires --analyzed flag")
        sys.exit(1)
    if rerun and not decompile:
        print("ERROR: --rerun requires -d/--decompile flag")
        sys.exit(1)

    if rerun and force:
        print("ERROR: --rerun and --force are mutually exclusive. "
              "--rerun targets already-disassembled samples, --force targets all analyzed samples.")
        sys.exit(1)

    # Validate and parse date arguments
    start_date = None
    end_date = None

    if date_filter:
        # Single date mode: process samples from that day
        try:
            parsed_date = datetime.strptime(date_filter, "%Y-%m-%d")
            start_date = date_filter
            # End date is the next day (exclusive)
            end_date = (parsed_date + timedelta(days=1)).strftime("%Y-%m-%d")
        except ValueError:
            print(f"ERROR: Invalid date format '{date_filter}'. Use YYYY-MM-DD")
            sys.exit(1)

    if date_range:
        # Date range mode: process samples between start and end dates
        try:
            start_date = date_range[0]
            datetime.strptime(start_date, "%Y-%m-%d")  # Validate format
            parsed_end = datetime.strptime(date_range[1], "%Y-%m-%d")
            # End date is the day after the provided end date (to make it inclusive)
            end_date = (parsed_end + timedelta(days=1)).strftime("%Y-%m-%d")
        except ValueError:
            print(f"ERROR: Invalid date format in range '{date_range}'. Use YYYY-MM-DD YYYY-MM-DD")
            sys.exit(1)

    # Validate required parameters based on mode
    if nomad_job or s3_solo:
        # For nomad job and s3-solo modes, set default repo if not provided (used for log filename)
        if not repo:
            repo = "s3-solo" if s3_solo else "nomad-worker"
    elif analyzed:
        # For analyzed mode, repo is optional (used for logging only)
        if not repo:
            repo = "analyzed"
    elif date_filter or date_range:
        # For date/range modes, repo is optional (used for filtering within date range)
        # Set a default repo name for logging if not provided
        if not repo:
            repo = "date-range"
    elif s3_mode and magika_filter and not repo:
        # For S3 mode with magika filter, repo is optional (query all repos for that filetype)
        repo = "all-repos"
    elif not s3_mode and path:
        # For local mode, repo is required
        if not repo:
            print("ERROR: --repo is required for local mode")
            sys.exit(1)
    elif s3_mode and not repo:
        # For S3 mode without magika filter, repo is required
        print("ERROR: --repo is required for S3 catalog mode (or use --magika to query all repos)")
        sys.exit(1)

    print(f"Decompile flag: {decompile}")
    if decompile and decompile_modules != "all":
        print(f"Decompile modules: {', '.join(sorted(decompile_modules_set))}")
    print(f"YARA scan flag: {yara_scan}")
    print(f"With YARA flag: {with_yara}")
    print(f"Repo: {repo}")
    print(f"Selected modules: {selected_modules}")
    print(f"Dry run mode: {dry_run}")
    print(f"Force reprocessing: {force}")
    print(f"S3 solo mode: {s3_solo}")
    print(f"Nomad job mode: {nomad_job}")
    if magika_filter:
        print(f"Magika filter: {magika_filter}")
    if start_date:
        print(f"Date filter: {start_date} to {end_date}")
    if rerun:
        print(f"Rerun mode: targeting already-disassembled samples from code_binja_disassembled_functions_references")
    if analyzed:
        print(f"Analyzed mode: processing already-analyzed samples from basic_properties")

    if analyzed and not (date_filter or date_range):
        # Analyzed mode (standalone): process samples already in basic_properties via S3
        print(f"Processing already-analyzed samples from {index_prefix}_basic_properties")
        if magika_filter:
            print(f"Filetype filter: {magika_filter}")
        Ingestor(
            path=None,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo or "analyzed",
            index_prefix=index_prefix,
            selected_modules=selected_modules,
            s3_mode=True,
            magika_filter=magika_filter,
            dry_run=dry_run,
            force=force,
            analyzed=True,
            decompile_modules=decompile_modules_set,
            rerun=rerun,
        ).ingest()

    elif date_filter or date_range:
        # Date-based S3 mode
        print(f"Date-based S3 mode enabled")
        if analyzed:
            print(f"Filtered to already-analyzed samples in {index_prefix}_basic_properties")
        if repo and repo != "date-range":
            print(f"Repository filter: {repo}")
        if s3_notes:
            print(f"Notes filter: {s3_notes}")
        Ingestor(
            path=None,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo,
            index_prefix=index_prefix,
            selected_modules=selected_modules,
            s3_mode=True,
            s3_notes=s3_notes,
            magika_filter=magika_filter,
            dry_run=dry_run,
            force=force,
            start_date=start_date,
            end_date=end_date,
            analyzed=analyzed,
            decompile_modules=decompile_modules_set,
        ).ingest()

    elif s3_solo:
        # Process a single S3 file using S3 key provided as argument
        print(f"Starting S3 solo mode with S3 key: {s3_key}")

        # Override with environment variables if not provided via command line
        if not index_prefix:
            index_prefix = os.getenv('INDEX_PREFIX', 'redb')
        if not repo:
            repo = os.getenv('REPO', 's3-solo')

        # Validate required parameters
        if not s3_key:
            print("ERROR: S3 key is required for S3-solo mode")
            sys.exit(1)

        # Extract hash from S3 key by splitting and taking the last chunk
        # S3 key format examples:
        # - 09/f7/09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c.zip
        # - private/ab/cd/abcd1234567890abcdef1234567890abcdef1234567890abcdef123456.zip
        try:
            # Remove .zip extension and split by '/'
            sample_hash = s3_key.replace('.zip', '').split('/')[-1]
        except Exception as e:
            print(f"ERROR: Failed to extract hash from S3 key {s3_key}: {e}")
            sys.exit(1)

        print(f"S3 Key: {s3_key}")
        print(f"Extracted hash: {sample_hash}")
        print(f"Using index_prefix: {index_prefix}")
        print(f"Using repo: {repo}")
        print(f"Dry run mode: {dry_run}")
        print(f"Selected modules: {selected_modules}")

        # Use ingestor with S3-solo mode
        Ingestor(
            path=None,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo,
            index_prefix=index_prefix or "s3_solo",
            selected_modules=selected_modules,
            s3_mode=True,
            s3_solo=True,
            s3_solo_hash=sample_hash,
            s3_solo_key=s3_key,
            dry_run=dry_run,
            force=force,
            decompile_modules=decompile_modules_set,
        ).ingest()

    elif nomad_job:
        # Run as Nomad job using environment variables - convert to S3-solo mode
        print("Starting Nomad job processor...")
        
        # Process Nomad environment variables
        job_id = os.getenv('JOB_ID')
        s3_key = os.getenv('S3_KEY')
        worker_type = os.getenv('WORKER_TYPE')
        callback_url = os.getenv('CALLBACK_URL')
        modules = os.getenv('ANALYSIS_MODULES', 'all')
        
        # Validate required parameters
        if not all([job_id, s3_key, worker_type, callback_url]):
            print("ERROR: Missing required Nomad job parameters")
            print("Required: JOB_ID, S3_KEY, WORKER_TYPE, CALLBACK_URL")
            sys.exit(1)
        
        print(f"Job ID: {job_id}")
        print(f"S3 Key: {s3_key}")
        print(f"Worker Type: {worker_type}")
        print(f"Callback URL: {callback_url}")
        print(f"Analysis Modules: {modules}")
        
        # Extract hash from S3 key (remove sharding structure and .zip extension)
        # S3 key format: 09/f7/09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c.zip
        # Extract: 09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c
        try:
            parts = s3_key.split('/')
            if len(parts) == 3:
                sample_hash = parts[2].replace('.zip', '')
            else:
                # Fallback for non-sharded keys
                sample_hash = s3_key.replace('.zip', '')
        except Exception as e:
            print(f"ERROR: Failed to extract hash from S3 key {s3_key}: {e}")
            sys.exit(1)
        
        print(f"Extracted hash: {sample_hash}")
        
        # Set decompile flag based on worker type
        decompile = worker_type == 'decompilation'
        
        # Override modules if specified
        if modules != 'all':
            selected_modules = modules
        
        # Use S3-solo mode with extracted hash
        Ingestor(
            path=None,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo,
            index_prefix=index_prefix or "nomad",
            selected_modules=selected_modules,
            s3_mode=False,  # Not bulk S3 mode
            s3_solo=True,   # Use S3-solo mode
            s3_solo_hash=sample_hash,
            dry_run=dry_run,
            force=force,
            decompile_modules=decompile_modules_set,
        ).ingest()

        # TODO: Add callback to send results to callback_url
        print(f"[INFO] Nomad job {job_id} completed. Callback URL: {callback_url}")
    
    elif s3_mode:
        print(f"S3 mode enabled")
        if s3_notes:
            print(f"S3 notes filter: {s3_notes}")
        Ingestor(
            path=None,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo,
            index_prefix=index_prefix,
            selected_modules=selected_modules,
            s3_mode=True,
            s3_notes=s3_notes,
            magika_filter=magika_filter,
            dry_run=dry_run,
            force=force,
            decompile_modules=decompile_modules_set,
        ).ingest()
    else:
        print(f"Local mode with path: {path}")
        if path.endswith('.txt'):
            print(f"Reading file list from: {path}")

        Ingestor(
            path=path,
            decompile=decompile,
            yara_scan=yara_scan,
            with_yara=with_yara,
            repository=repo,
            index_prefix=index_prefix,
            selected_modules=selected_modules,
            dry_run=dry_run,
            force=force,
            decompile_modules=decompile_modules_set,
        ).ingest()

if __name__ == "__main__":
    main()