Carlo Meghini

113 papers A* 3A 1B 3C 5Journal 43Unranked 50
YearRankTypeTitle / Venue / Authors
2024 J jnl
Multimodal Technol. Interact.
Xenophon Zabulis, Nikolaos Partarakis, Valentina Bartalesi, Nicolò Pratelli, Carlo Meghini, Arnaud Dubois, Ines Moreno, Sotiris Manitsaris
2023 J jnl
J. Big Data
Costantino Thanos, Carlo Meghini, Valentina Bartalesi, Gianpaolo Coro
2023 J jnl
Semantic Web
Athanasios Velios, Carlo Meghini, Martin Doerr, Stephen Stead
2022 J jnl
Multimodal Technol. Interact.
Nikolaos Partarakis, Voula Doulgeraki, Effie Karuzaki, George Galanakis, Xenophon Zabulis, Carlo Meghini, Valentina Bartalesi, Daniele Metilli
2022 J jnl
Digit. Scholarsh. Humanit.
Valentina Bartalesi, Nicolò Pratelli, Carlo Meghini, Daniele Metilli, Gaia Tomazzoli, Leyla M. G. Livraghi, Michelangelo Zaccarello
2022 J jnl
Int. J. Digit. Libr.
Costantino Thanos, Carlo Meghini, Valentina Bartalesi, Gianpaolo Coro
2022 J jnl
ACM Journal on Computing and Cultural Heritage
Xenophon Zabulis, Carlo Meghini, Arnaud Dubois, Paraskevi Doulgeraki, Nikolaos Partarakis, Ilia Adami, Effie Karuzaki, Anne-Laure Carre, Nikolaos Patsiouras, Danai Kaplanidi, Daniele Metilli, Valentina Bartalesi, Chris Ringas, Eleana Tasiopoulou, Zinovia Stefanidi
2022 J jnl
ACM Journal on Computing and Cultural Heritage
Nikolaos Partarakis, Paraskevi Doulgeraki, Effie Karuzaki, Ilia Adami, Stavroula Ntoa, Daniele Metilli, Valentina Bartalesi Lenzi, Carlo Meghini, Yannis Marketakis, Danai Kaplanidi, Maria Theodoridou, Xenophon Zabulis
2021 J jnl
Int. J. Humanit. Arts Comput.
Frank Uiterwaal, Franco Niccolucci, Sheena Bassett, Steven Krauwer, Hella Hollander, Femmy Admiraal, Laurent Romary, George Bruseker, Carlo Meghini, Jennifer Edmond, Mark Hedges
2021 J jnl
Semantic Web
Carlo Meghini, Valentina Bartalesi, Daniele Metilli
2020 conf
SEBD
Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Claudio Vairo, Costantino Perciante, Carlo Meghini, Fabrizio Falchi, Fausto Rabitti
2020 C conf
ArtsIT
Nikolaos Partarakis, Nikolaos Patsiouras, Thodoris Evdemon, Paraskevi Doulgeraki, Effie Karuzaki, Evropi Stefanidi, Stavroula Ntoa, Carlo Meghini, Danai Kaplanidi, Maria Fasoula, Xenophon Zabulis
2020 conf
LR4SSHOC@LREC
Cesare Concordia, Carlo Meghini, Filippo Benedetti
2019 J jnl
Int. J. Digit. Libr.
Daniele Metilli, Valentina Bartalesi, Carlo Meghini
2019 J jnl
Int. J. Metadata Semant. Ontologies
Valentina Bartalesi, Carlo Meghini, Costantino Thanos
2019 J jnl
J. Grid Comput.
Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Claudio Vairo, Costantino Perciante, Carlo Meghini, Fabrizio Falchi
2019 J jnl
Int. J. Appl. Math. Comput. Sci.
Carlo Meghini, Valentina Bartalesi, Daniele Metilli, Filippo Benedetti
2019 conf
IRCDL
Daniele Metilli, Valentina Bartalesi, Carlo Meghini, Nicola Aloia
2019 conf
Text2Story@ECIR
Daniele Metilli, Valentina Bartalesi, Carlo Meghini
2018 conf
IRCDL
Carlo Meghini, Valentina Bartalesi, Daniele Metilli, Filippo Benedetti
2018 J jnl
Int. J. Metadata Semant. Ontologies
Carlo Meghini, Martin Doerr
2018 J jnl
Digit. Scholarsh. Humanit.
Valentina Bartalesi, Carlo Meghini, Daniele Metilli, Mirko Tavoni, Paola Andriani
2018 conf
ISIP
Valentina Bartalesi, Carlo Meghini, Costantino Thanos
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
2017 J jnl
ERCIM News
Cesare Concordia, Carlo Meghini
2017 C conf
ISI
Keith G. Jeffery, Carlo Meghini, Cesare Concordia, Theodore Patkos, Valérie Brasse, Jacco van Ossenbruck, Yannis Marketakis, Nikos Minadakis, Eda Marchetti
2017 J jnl
Int. J. Metadata Semant. Ontologies
Valentina Bartalesi, Carlo Meghini, Daniele Metilli
2017 conf
ICNSC
Hanna Kavalionak, Emanuele Carlini, Alessandro Lulli, Claudio Gennaro, Giuseppe Amato, Carlo Meghini, Laura Ricci
2017 J jnl
ACM Journal on Computing and Cultural Heritage
Carlo Meghini, Roberto Scopigno, Julian Richards, Holly Wright, Guntram Geser, Sebastian Cuy, Johan Fihn, Bruno Fanini, Hella Hollander, Franco Niccolucci, Achille Felicetti, Paola Ronzino, Federico Nurra, Christos Papatheodorou, Dimitris Gavrilis, Maria Theodoridou, Martin Doerr, Douglas Tudhope, Ceri Binding, Andreas Vlachidis
2017 J jnl
Expert Syst. Appl.
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Carlo Meghini, Claudio Vairo
2017 conf
ADBIS (Short Papers and Workshops)
Carlo Meghini, Valentina Bartalesi, Daniele Metilli, Filippo Benedetti
2017 conf
WISATS
Hanna Kavalionak, Emanuele Carlini, Pietro Cassarà, Carlo Meghini
2017 conf
IRCDL
Carlo Meghini, Valentina Bartalesi, Daniele Metilli
2017 J jnl
Semantic Web
Valentina Bartalesi, Carlo Meghini
2016 conf
IRCDL
Valentina Bartalesi, Carlo Meghini
2016 J jnl
Ann. Math. Artif. Intell.
Christoph Beierle, Carlo Meghini
2016 J jnl
Open J. Web Technol.
Carlo Meghini, Anastasia Analyti
2016 conf
AI*CH@AI*IA
Carlo Meghini, Valentina Bartalesi, Daniele Metilli
2016 conf
CMN
Valentina Bartalesi Lenzi, Carlo Meghini, Daniele Metilli
2016 conf
HCI (3)
Valentina Bartalesi, Carlo Meghini, Daniele Metilli, Paola Andriani
2015 conf
CIT/IUCC/DASC/PICom
Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Carlo Meghini
2015 conf
IRCDL
Carlo Meghini
2015 conf
EMF-CRM@TPDL
Achille Felicetti, Philipp Gerth, Carlo Meghini, Maria Theodoridou
2015 J jnl
Digit. Scholarsh. Humanit.
Valentina Bartalesi, Carlo Meghini, Paola Andriani, Mirko Tavoni
2014 J jnl
J. Data Semant.
Carlo Meghini, Nicolas Spyratos, Tsuyoshi Sugibuchi, Jitao Yang
2014 conf
OTM Conferences
Nicola Aloia, Christos Papatheodorou, Dimitris Gavrilis, Franca Debole, Carlo Meghini
2014 ed.
FoIKS
Christoph Beierle, Carlo Meghini
2014 J jnl
D Lib Mag.
Karen M. Wickett, Antoine Isaac, Martin Doerr, Katrina Fenlon, Carole L. Palmer, Carlo Meghini
2014 conf
HCI (13)
Carlo Meghini, Valentina Bartalesi
2014 conf
DH
Mirko Tavoni, Paola Andriani, Valentina Bartalesi, Elvira Locuratolo, Carlo Meghini, Loredana Versienti
2013 conf
DH-CASE@DocEng
Valentina Bartalesi, Elvira Locuratolo, Loredana Versienti, Carlo Meghini
2013 J jnl
Data Sci. J.
Carlo Meghini
2013 conf
IRCDL
Nicola Aloia, Cesare Concordia, Carlo Meghini, Luca Trupiano
2013 ed.
ISIP
Yuzuru Tanaka, Nicolas Spyratos, Tetsuya Yoshida, Carlo Meghini
2013 J jnl
ERCIM News
Carlo Meghini, Anna Molino, Francesca Borri, Giulio Galesi
2013 conf
IRCDL
Dydimus Zengenene, Vittore Casarosa, Carlo Meghini
2012 conf
IRCDL
Vittore Casarosa, Carlo Meghini, Stanislava Gardasevic
2012 conf
IRCDL
Nicola Aloia, Cesare Concordia, Carlo Meghini
2011 conf
IRCDL
Nicola Aloia, Cesare Concordia, Carlo Meghini
2011 B conf
TPDL
Nicola Aloia, Cesare Concordia, Anne Marie van Gerwen, Preben Hansen, Micke Kuwahara, Anh Tuan Ly, Carlo Meghini, Nicolas Spyratos, Tsuyoshi Sugibuchi, Yuzuru Tanaka, Jitao Yang, Nicola Zeni
2011 J jnl
ERCIM News
Nicola Aloia, Cesare Concordia, Anne Marie van Gerwen, Carlo Meghini, Nicola Zeni
2011 ed.
IRCDL
Maristella Agosti, Floriana Esposito, Carlo Meghini, Nicola Orio
2011 conf
IRCDL
Nicola Aloia, Cesare Concordia, Carlo Meghini
2011 ed.
SIGDOC
Aristidis Protopsaltis, Nicolas Spyratos, Carlos J. Costa, Carlo Meghini
2011 J jnl
CoRR
Carlo Meghini, Yannis Tzitzikas, Veronica Coltella, Anastasia Analyti
2011 B ed.
TPDL
Stefan Gradmann, Francesca Borri, Carlo Meghini, Heiko Schuldt
2010 conf
ECDL
George Athanasopoulos, Edward A. Fox, Yannis E. Ioannidis, George Kakaletris, Natalia Manola, Carlo Meghini, Andreas Rauber, Dagobert Soergel
2010 J jnl
Int. J. Digit. Libr.
Carlo Meghini, Nicolas Spyratos, Jitao Yang
2010 J jnl
ERCIM News
Luigi Briguglio, Carlo Meghini, David Giaretta
2010 conf
ECDL
Carlo Meghini, Nicolas Spyratos, Tsuyoshi Sugibuchi
2010 ch.
Advances in Intelligent Information Systems
Carlo Meghini, Nicolas Spyratos
2009 conf
IRCDL
Nicola Aloia, Cesare Concordia, Carlo Meghini
2009 ch.
Encyclopedia of Database Systems
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
2008 J jnl
Fundam. Informaticae
Carlo Meghini, Yannis Tzitzikas, Nicolas Spyratos
2008 conf
DEXA Workshops
Giuseppe Amato, Carlo Meghini
2008 C conf
EJC
Carlo Meghini, Martin Doerr, Nicolas Spyratos
2008 J jnl
J. Log. Comput.
Carlo Meghini, Nicolas Spyratos
2007 C conf
ICFCA
Carlo Meghini, Nicolas Spyratos
2007 conf
SEBD
Nicola Aloia, Cesare Concordia, Carlo Meghini
2007 conf
IRCDL
Giuseppe Amato, Carlo Meghini
2007 J jnl
CoRR
Carlo Meghini, Yannis Tzitzikas, Anastasia Analyti
2007 ed.
ECDL
László Kovács, Norbert Fuhr, Carlo Meghini
2007 conf
DELOS
Carlo Meghini, Nicolas Spyratos
2006 J jnl
J. Intell. Inf. Syst.
Yannis Tzitzikas, Carlo Meghini, Nicolas Spyratos
2006 conf
SETN
Carlo Meghini, Yannis Tzitzikas, Nicolas Spyratos
2006 conf
FoIKS
Nicolas Spyratos, Carlo Meghini
2005 J jnl
J. Digit. Inf. Manag.
Fausto Rabitti, Carlo Meghini
2004 C conf
FQAS
Yannis Tzitzikas, Carlo Meghini, Nicolas Spyratos
2004 conf
CoopIS/DOA/ODBASE (2)
Carlo Meghini, Yannis Tzitzikas
2004 conf
FoIKS
Yannis Tzitzikas, Carlo Meghini, Nicolas Spyratos
2003 B conf
MFCS
Carlo Meghini, Yannis Tzitzikas, Nicolas Spyratos
2003 conf
CIA
Yannis Tzitzikas, Carlo Meghini
2003 conf
OTM
Yannis Tzitzikas, Carlo Meghini
2003 conf
Description Logics
Carlo Meghini, Yannis Tzitzikas
2003 A conf
ER
Yannis Tzitzikas, Carlo Meghini, Nicolas Spyratos
2002 conf
ECDL
Donatella Castelli, Carlo Meghini, Pasquale Pagano
2001 J jnl
J. ACM
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
1999 conf
ICMCS, Vol. 2
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
1997 conf
CIA
Carlo Meghini
1997 conf
Conceptual Modeling
Carlo Meghini, Fabrizio Sebastiani
1997 conf
ECDL
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
1997 conf
ICIAP (2)
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia
1996 A* conf
SIGIR
Carlo Meghini, Umberto Straccia
1996 J jnl
J. Comput. Syst. Sci.
Carlo Meghini, Costantino Thanos
1996 J jnl
Comput. J.
Carlo Meghini
1996 conf
SEBD
Carlo Meghini, Costantino Thanos
1996 conf
Storage and Retrieval for Image and Video Databases (SPIE)
Carlo Meghini
1995 A* conf
SIGIR
Carlo Meghini
1993 A* conf
SIGIR
Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia, Costantino Thanos
1991 J jnl
Computer
Carlo Meghini, Fausto Rabitti, Costantino Thanos
1991 J jnl
ACM Trans. Database Syst.
Carlo Meghini, Costantino Thanos
1985 J jnl
Acta Informatica
Carlo Meghini, Costantino Thanos
1983 conf
ICOD
Elisa Bertino, Carlo Meghini, Costantino Thanos
redb/extractors/yara.py
← Index redb/extractors/yara.py python
"""
YARA Extractor - Scans binary files with YARA rules and stores matches in ClickHouse.

This extractor uses the yara-x library to scan samples against a collection of
YARA rules located in the 'yara/' folder at the project root.

Supports both:
- Pre-compiled rules (.yarac) for faster loading
- Source rules (.yar/.yara) compiled on-the-fly

Schema Design:
- yara_rules: Rule metadata stored once per unique rule (deduplicated by rule_id)
- yara_matches: Sample-rule matches with binary sha256 for efficiency
"""
import inspect
import json
import os
import re
import threading
import time
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple

import xxhash
import yara_x

from redb.extractors.enum import Tag
from redb.extractors.extractor import Extractor
from redb.models.dataclasses import YaraMatch, YaraRule


# Default compiled rules filename (can be overridden via YARA_COMPILED_RULES env var)
COMPILED_RULES_FILENAME = os.getenv("YARA_COMPILED_RULES", "compiled_rules.yarac")

# Default source collection name
DEFAULT_SOURCE_COLLECTION = os.getenv("YARA_SOURCE_COLLECTION", "default")


def canonicalize_rule(rule_text: str) -> str:
    """
    Canonicalize YARA rule text for consistent hashing.

    Strips comments and normalizes whitespace, but excludes metadata
    so rules with same logic but different metadata get the same ID.
    """
    # Strip single-line comments
    text = re.sub(r'//.*$', '', rule_text, flags=re.MULTILINE)
    # Strip multi-line comments
    text = re.sub(r'/\*.*?\*/', '', text, flags=re.DOTALL)
    # Strip meta section (keep only strings/condition)
    text = re.sub(r'meta\s*:\s*[^}]+(?=strings|condition|})', '', text, flags=re.DOTALL)
    # Normalize whitespace
    text = ' '.join(text.split())
    return text


def generate_rule_id(rule_text: str) -> int:
    """
    Generate a unique rule_id from canonicalized rule content.

    Returns:
        UInt64 hash of the canonical rule content
    """
    canonical = canonicalize_rule(rule_text)
    return xxhash.xxh64(canonical.encode('utf-8')).intdigest()


def sha256_hex_to_binary(hex_str: str) -> bytes:
    """Convert SHA256 hex string to binary (32 bytes)."""
    return bytes.fromhex(hex_str)


def sha256_binary_to_hex(binary: bytes) -> str:
    """Convert SHA256 binary (32 bytes) to hex string."""
    return binary.hex()


def parse_yara_rules(file_content: str) -> List[Dict[str, Any]]:
    """
    Parse individual YARA rules from file content.

    Handles files with multiple rules and extracts:
    - rule_name: The rule identifier
    - rule_tags: List of tags (from 'rule Name : tag1 tag2 {')
    - rule_meta: Dict of metadata key-value pairs
    - rule_text: Full rule source code

    Args:
        file_content: Raw content of a .yar/.yara file

    Returns:
        List of dicts, each containing rule_name, rule_tags, rule_meta, rule_text
    """
    rules = []

    # Pattern to match rule declarations: rule Name or rule Name : tags
    # We need to find rule boundaries by tracking braces
    rule_pattern = re.compile(
        r'(?:^|\n)\s*((?:private\s+|global\s+)*rule\s+(\w+)\s*(?::\s*([^{]*))?\s*\{)',
        re.MULTILINE
    )

    matches = list(rule_pattern.finditer(file_content))

    for i, match in enumerate(matches):
        rule_start = match.start(1)  # Start of 'rule ...'
        rule_name = match.group(2)
        tags_str = match.group(3) or ""
        rule_tags = [t.strip() for t in tags_str.split() if t.strip()]

        # Find the matching closing brace by counting braces
        brace_count = 0
        rule_end = match.end()
        in_string = False
        escape_next = False

        for j, char in enumerate(file_content[match.end() - 1:], start=match.end() - 1):
            if escape_next:
                escape_next = False
                continue
            if char == '\\':
                escape_next = True
                continue
            if char == '"' and not escape_next:
                in_string = not in_string
                continue
            if in_string:
                continue
            if char == '{':
                brace_count += 1
            elif char == '}':
                brace_count -= 1
                if brace_count == 0:
                    rule_end = j + 1
                    break

        rule_text = file_content[rule_start:rule_end].strip()

        # Extract metadata from rule
        meta = {}
        meta_match = re.search(
            r'meta\s*:\s*(.*?)(?=strings\s*:|condition\s*:|$)',
            rule_text,
            re.DOTALL
        )
        if meta_match:
            meta_text = meta_match.group(1)
            for line in meta_text.strip().split('\n'):
                if '=' in line:
                    key, _, value = line.partition('=')
                    key = key.strip()
                    value = value.strip().strip('"\'')
                    if key and not key.startswith('//'):
                        meta[key] = value

        rules.append({
            'rule_name': rule_name,
            'rule_tags': rule_tags,
            'rule_meta': meta,
            'rule_text': rule_text,
        })

    return rules


class YaraBatchInsertBuffer:
    """
    Thread-safe buffer for batching YARA match inserts.

    Collects matches from multiple samples and flushes to ClickHouse
    when batch_size is reached or flush_interval expires.
    """

    def __init__(
        self,
        exporter,
        index_prefix: str,
        batch_size: int = 1000,
        flush_interval: int = 30,
    ):
        self.exporter = exporter
        self.index_prefix = index_prefix
        self.batch_size = batch_size
        self.flush_interval = flush_interval

        self.matches_buffer: List[List] = []
        self.rules_buffer: Dict[int, List] = {}  # rule_id -> rule_data (deduplicated)
        self.lock = threading.Lock()
        self.last_flush = time.time()

        # Start background flush timer
        self._stop_timer = False
        self._timer_thread = threading.Thread(target=self._flush_timer, daemon=True)
        self._timer_thread.start()

    def add(self, sha256_binary: bytes, matches: List[Tuple], rules: Dict[int, List]) -> None:
        """
        Add matches and rules to buffer.

        Args:
            sha256_binary: Binary SHA256 (32 bytes)
            matches: List of match tuples (sha256_binary, rule_id, rule_name, scan_date, match_strings)
            rules: Dict of rule_id -> rule_data tuples
        """
        with self.lock:
            self.matches_buffer.extend(matches)
            # Merge rules (deduplicated by rule_id)
            for rule_id, rule_data in rules.items():
                if rule_id not in self.rules_buffer:
                    self.rules_buffer[rule_id] = rule_data

            if len(self.matches_buffer) >= self.batch_size:
                self._flush_locked()

    def _flush_locked(self) -> None:
        """Flush buffer (must hold lock)."""
        if not self.matches_buffer:
            return

        try:
            # Insert rules first (deduplicated)
            if self.rules_buffer:
                rules_data = list(self.rules_buffer.values())
                self.exporter.batch_insert(
                    table='yara_rules',
                    rows=rules_data,
                    column_names=[
                        'rule_id', 'rule_name', 'source_collection',
                        'ingested_at', 'rule_text', 'rule_meta', 'rule_tags'
                    ],
                    column_type_names=[
                        'UInt64', 'String', 'LowCardinality(String)',
                        "DateTime64(3, 'UTC')", 'String', 'JSON', 'Array(LowCardinality(String))'
                    ]
                )

            # Insert matches
            self.exporter.batch_insert(
                table='yara_matches',
                rows=self.matches_buffer,
                column_names=[
                    'sha256', 'rule_id', 'rule_name',
                    'scan_date', 'match_strings'
                ],
                column_type_names=[
                    'FixedString(32)', 'UInt64', 'LowCardinality(String)',
                    "DateTime64(3, 'UTC')", 'Array(String)'
                ]
            )

            print(f"[YARA] Flushed {len(self.matches_buffer)} matches and {len(self.rules_buffer)} rules")

        except Exception as e:
            print(f"[YARA] Error flushing batch: {e}")

        # Clear buffers
        self.matches_buffer = []
        self.rules_buffer = {}
        self.last_flush = time.time()

    def flush(self) -> None:
        """Public flush (acquires lock)."""
        with self.lock:
            self._flush_locked()

    def _flush_timer(self) -> None:
        """Background timer for periodic flushes."""
        while not self._stop_timer:
            time.sleep(5)  # Check every 5 seconds
            with self.lock:
                if time.time() - self.last_flush > self.flush_interval and self.matches_buffer:
                    self._flush_locked()

    def stop(self) -> None:
        """Stop the background timer and flush remaining data."""
        self._stop_timer = True
        self.flush()


class YaraExtractor(Extractor):
    """
    Extractor that scans binary files with YARA rules.

    The YARA rules are loaded from the 'yara/' folder at the project root.
    Each matching rule is stored in ClickHouse with its metadata.

    Supports pre-compiled rules for faster loading:
    - If 'yara/compiled_rules.yarac' exists, it will be loaded directly
    - Otherwise, all .yar/.yara files are compiled and cached in memory
    - Use YaraExtractor.compile_and_save() to pre-compile rules
    """

    # Class-level cache for compiled YARA rules
    _compiled_rules = None
    _rules_path = None

    def __init__(
        self,
        filepath: str,
        log: Any,
        exporters: Optional[List] = None,
        index_prefix: Optional[str] = None,
        known_benign: bool = False,
        known_malicious: bool = False,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            known_benign,
            known_malicious,
        )
        self.matches: List[YaraMatch] = []
        self.rules: Dict[str, YaraRule] = {}  # rule_name -> YaraRule (deduplicated)

    @classmethod
    def get_yara_rules_path(cls) -> Path:
        """Get the path to the YARA rules directory."""
        # Default to 'yara/' in project root
        project_root = Path(__file__).parent.parent.parent
        default_path = project_root / "yara"

        # Allow override via environment variable
        rules_path = os.getenv("YARA_RULES_PATH", str(default_path))
        return Path(rules_path)

    @classmethod
    def get_compiled_rules_path(cls) -> Path:
        """Get the path to the pre-compiled rules file."""
        return cls.get_yara_rules_path() / COMPILED_RULES_FILENAME

    @classmethod
    def load_compiled_rules(cls) -> Optional[yara_x.Rules]:
        """
        Load pre-compiled YARA rules from .yarac file.

        Returns:
            Compiled Rules object or None if file doesn't exist
        """
        compiled_path = cls.get_compiled_rules_path()
        if not compiled_path.exists():
            return None

        try:
            with open(compiled_path, "rb") as f:
                rules = yara_x.Rules.deserialize_from(f)
            # Only log in debug mode (non-prod) to avoid spamming in bulk processing
            if os.getenv("SERVER_ENV") != "prod":
                print(f"[DEBUG] Loaded pre-compiled YARA rules from {compiled_path}")
            return rules
        except Exception as e:
            print(f"[WARNING] Failed to load compiled rules from {compiled_path}: {e}")
            return None

    @classmethod
    def compile_rules_from_source(cls) -> Optional[yara_x.Rules]:
        """
        Compile all YARA rules from source .yar/.yara files.

        Returns:
            Compiled Rules object or None if no rules found
        """
        rules_path = cls.get_yara_rules_path()

        if not rules_path.exists():
            return None

        # Find all .yar and .yara files recursively
        rule_files = []
        for ext in ["*.yar", "*.yara"]:
            rule_files.extend(rules_path.rglob(ext))

        if not rule_files:
            return None

        print(f"[INFO] Compiling {len(rule_files)} YARA rule files from {rules_path}")

        # Compile all rules using yara-x compiler
        compiler = yara_x.Compiler()
        compiled_count = 0
        failed_count = 0

        for rule_file in rule_files:
            try:
                with open(rule_file, "r", encoding="utf-8") as f:
                    rule_content = f.read()
                # Use the relative path from rules_path as namespace
                namespace = str(rule_file.relative_to(rules_path).parent)
                if namespace == ".":
                    namespace = "default"
                compiler.new_namespace(namespace)
                compiler.add_source(rule_content)
                compiled_count += 1
            except Exception as e:
                # Log warning but continue with other rules
                print(f"[WARNING] Failed to compile YARA rule {rule_file}: {e}")
                failed_count += 1
                continue

        try:
            rules = compiler.build()
            print(f"[INFO] Successfully compiled {compiled_count} rule files ({failed_count} failed)")
            return rules
        except Exception as e:
            print(f"[ERROR] Failed to build YARA rules: {e}")
            return None

    @classmethod
    def compile_rules(cls, force_reload: bool = False) -> Optional[yara_x.Rules]:
        """
        Get compiled YARA rules, loading from cache, .yarac file, or compiling from source.

        Priority:
        1. Return cached rules if available
        2. Load pre-compiled .yarac file if it exists
        3. Compile from source .yar/.yara files

        Args:
            force_reload: If True, ignore cache and reload rules

        Returns:
            Compiled YARA rules or None if no rules found
        """
        rules_path = cls.get_yara_rules_path()

        # Return cached rules if available and path hasn't changed
        if (
            cls._compiled_rules is not None
            and cls._rules_path == rules_path
            and not force_reload
        ):
            return cls._compiled_rules

        # Try loading pre-compiled rules first
        rules = cls.load_compiled_rules()

        # If no pre-compiled rules, compile from source
        if rules is None:
            rules = cls.compile_rules_from_source()

        # Cache the rules
        if rules is not None:
            cls._compiled_rules = rules
            cls._rules_path = rules_path

        return rules

    @classmethod
    def compile_and_save(cls, output_path: Optional[Path] = None) -> bool:
        """
        Compile all YARA rules from source and save to a .yarac file.

        This is useful for pre-compiling rules for faster loading in production.

        Args:
            output_path: Path to save compiled rules (default: yara/compiled_rules.yarac)

        Returns:
            True if successful, False otherwise
        """
        if output_path is None:
            output_path = cls.get_compiled_rules_path()

        # Force compile from source
        rules = cls.compile_rules_from_source()
        if rules is None:
            print("[ERROR] No rules to compile")
            return False

        try:
            # Ensure parent directory exists
            output_path.parent.mkdir(parents=True, exist_ok=True)

            with open(output_path, "wb") as f:
                rules.serialize_into(f)

            print(f"[INFO] Saved compiled YARA rules to {output_path}")
            return True
        except Exception as e:
            print(f"[ERROR] Failed to save compiled rules: {e}")
            return False

    def _extract_yara_matches(self) -> Tuple[List[YaraMatch], Dict[str, YaraRule]]:
        """
        Scan the binary with compiled YARA rules.

        Returns:
            Tuple of (matches list, rules dict) for each matching rule
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        compiled_rules = self.compile_rules()
        if compiled_rules is None:
            self.log.warning("No YARA rules found or compiled")
            return [], {}

        matches = []
        rules = {}

        try:
            # Scan the binary data
            scan_results = compiled_rules.scan(self.binary)

            # Process each matching rule
            for rule in scan_results.matching_rules:
                rule_name = rule.identifier

                # Extract rule metadata and store rule (deduplicated by name)
                if rule_name not in rules:
                    meta = {}
                    for identifier, value in rule.metadata:
                        meta[identifier] = str(value)
                    rules[rule_name] = YaraRule(
                        rule_name=rule_name,
                        rule_tags=list(rule.tags),
                        rule_meta=meta,
                    )

                # Extract matched string identifiers
                matched_strings = []
                for pattern in rule.patterns:
                    for match in pattern.matches:
                        matched_strings.append(pattern.identifier)

                # Remove duplicates from matched strings
                matched_strings = list(set(matched_strings))

                yara_match = YaraMatch(
                    rule_name=rule_name,
                    match_strings=matched_strings,
                )
                matches.append(yara_match)

                self.log.debug(
                    f"YARA match: {rule_name} (tags: {list(rule.tags)})"
                )

        except Exception as e:
            self.log.error(f"Error scanning with YARA: {e}")
            return [], {}

        return matches, rules

    def extract(self) -> Optional[List[YaraMatch]]:
        """
        Extract YARA matches from the binary.

        Returns:
            List of YaraMatch objects or None on error
        """
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self.matches, self.rules = self._extract_yara_matches()
            return self.matches if self.matches else None
        except Exception as e:
            self.log.error(f"Error extracting YARA matches: {e}")
            return None

    def tag(self) -> str:
        """Return the tag for this extractor."""
        return Tag.YARA.value

    def get_clickhouse_table(self) -> str:
        """Return the ClickHouse table name for YARA matches."""
        return "yara_matches"

    def get_clickhouse_tables(self) -> Dict[str, str]:
        """Return all ClickHouse table names for multi-table support."""
        return {
            'rules': 'yara_rules',
            'matches': 'yara_matches',
        }

    def prepare_export_data(self, exporter_type: str) -> Any:
        """
        Prepare data for export to the specified exporter type.

        Uses optimized normalized schema with two tables:
        - yara_rules: Rule metadata with rule_id (UInt64 hash)
        - yara_matches: Matches with binary sha256 (32 bytes) and rule_id

        Args:
            exporter_type: The type of exporter (e.g., 'ClickHouseExporter')

        Returns:
            Data formatted for the specified exporter
        """

        if exporter_type == "ClickHouseExporter":
            if not self.matches:
                return None

            current_time = datetime.now(timezone.utc)
            source_collection = DEFAULT_SOURCE_COLLECTION

            # Convert sha256 hex to binary (32 bytes)
            sha256_binary = sha256_hex_to_binary(self.sha256)

            # Build rules data from self.rules (deduplicated by rule_id)
            rules_data = {}  # rule_id -> rule_data
            for rule_name, rule in self.rules.items():
                rule_content = f"rule {rule_name} {{ }}"  # Simplified for now
                rule_id = generate_rule_id(rule_content)
                if rule_id not in rules_data:
                    rules_data[rule_id] = [
                        rule_id,
                        rule.rule_name,
                        source_collection,
                        current_time,  # ingested_at
                        "",  # rule_text (empty for now, populated during sync)
                        json.dumps(rule.rule_meta),
                        rule.rule_tags,
                    ]

            # Build matches data
            matches_data = []
            for match in self.matches:
                rule_content = f"rule {match.rule_name} {{ }}"
                rule_id = generate_rule_id(rule_content)

                matches_data.append([
                    sha256_binary,  # Binary sha256 (32 bytes)
                    rule_id,
                    match.rule_name,
                    current_time,  # scan_date
                    match.match_strings,
                ])

            return {
                'multi_table': True,
                'rules': {
                    'table': 'yara_rules',
                    'data': list(rules_data.values()),
                    'column_names': [
                        'rule_id',
                        'rule_name',
                        'source_collection',
                        'ingested_at',
                        'rule_text',
                        'rule_meta',
                        'rule_tags',
                    ],
                    'column_type_names': [
                        'UInt64',
                        'String',
                        'LowCardinality(String)',
                        "DateTime64(3, 'UTC')",
                        'String',
                        'JSON',
                        'Array(LowCardinality(String))',
                    ],
                },
                'matches': {
                    'table': 'yara_matches',
                    'data': matches_data,
                    'column_names': [
                        'sha256',
                        'rule_id',
                        'rule_name',
                        'scan_date',
                        'match_strings',
                    ],
                    'column_type_names': [
                        'FixedString(32)',  # Binary sha256
                        'UInt64',
                        'LowCardinality(String)',
                        "DateTime64(3, 'UTC')",
                        'Array(String)',
                    ],
                },
            }

        return None


def sync_rules_to_db(source_collection: str = None) -> bool:
    """
    Sync all YARA rules from source files to the database.

    This ensures all rules exist in yara_rules table before scanning begins.
    Should be run before batch scanning or in container initialization.

    Args:
        source_collection: Source collection name (default from env)

    Returns:
        True if successful, False otherwise
    """
    from redb import settings

    source_collection = source_collection or DEFAULT_SOURCE_COLLECTION
    rules_path = YaraExtractor.get_yara_rules_path()

    if not rules_path.exists():
        print(f"[ERROR] Rules path does not exist: {rules_path}")
        return False

    # Find all rule files
    rule_files = []
    for ext in ["*.yar", "*.yara"]:
        rule_files.extend(rules_path.rglob(ext))

    if not rule_files:
        print(f"[INFO] No rule files found in {rules_path}")
        return True

    print(f"[INFO] Syncing {len(rule_files)} rule files to database...")

    current_time = datetime.now(timezone.utc)
    rules_data = []
    total_rules = 0

    for rule_file in rule_files:
        try:
            with open(rule_file, "r", encoding="utf-8") as f:
                file_content = f.read()

            # Parse individual rules from file (handles multiple rules per file)
            parsed_rules = parse_yara_rules(file_content)

            for rule in parsed_rules:
                rule_id = generate_rule_id(rule['rule_text'])

                rules_data.append([
                    rule_id,
                    rule['rule_name'],
                    source_collection,
                    current_time,
                    rule['rule_text'],
                    json.dumps(rule['rule_meta']),
                    rule['rule_tags'],
                ])
                total_rules += 1

        except Exception as e:
            print(f"[WARNING] Failed to parse rule file {rule_file}: {e}")
            continue

    print(f"[INFO] Parsed {total_rules} individual rules from {len(rule_files)} files")

    if not rules_data:
        print("[INFO] No rules to sync")
        return True

    # Insert rules to database
    try:
        client = settings.create_clickhouse_client()
        table = "yara_rules"

        client.insert(
            table,
            rules_data,
            column_names=[
                'rule_id', 'rule_name', 'source_collection',
                'ingested_at', 'rule_text', 'rule_meta', 'rule_tags'
            ],
            column_type_names=[
                'UInt64', 'String', 'LowCardinality(String)',
                "DateTime64(3, 'UTC')", 'String', 'JSON', 'Array(LowCardinality(String))'
            ]
        )

        print(f"[INFO] Successfully synced {len(rules_data)} rules to {table}")
        client.close()
        return True

    except Exception as e:
        print(f"[ERROR] Failed to sync rules to database: {e}")
        return False


# CLI utility for pre-compiling rules and syncing
if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description="YARA Rules Management Utility")
    parser.add_argument(
        "--compile",
        action="store_true",
        help="Compile all YARA rules and save to .yarac file",
    )
    parser.add_argument(
        "--sync-rules",
        action="store_true",
        help="Sync all YARA rules to the database (run before batch scanning)",
    )
    parser.add_argument(
        "--output",
        type=str,
        help="Output path for compiled rules (default: yara/compiled_rules.yarac)",
    )
    parser.add_argument(
        "--rules-path",
        type=str,
        help="Path to YARA rules directory (default: yara/)",
    )
    parser.add_argument(
        "--source-collection",
        type=str,
        help="Source collection name for rules (default: from YARA_SOURCE_COLLECTION env)",
    )

    args = parser.parse_args()

    if args.rules_path:
        os.environ["YARA_RULES_PATH"] = args.rules_path

    if args.compile:
        output_path = Path(args.output) if args.output else None
        success = YaraExtractor.compile_and_save(output_path)
        if not success:
            exit(1)

    if args.sync_rules:
        success = sync_rules_to_db(args.source_collection)
        if not success:
            exit(1)

    if not args.compile and not args.sync_rules:
        parser.print_help()