#!/usr/bin/env python3
# Autodict-QL - Optimal token generation for fuzzing
# Part of AFL++ Project
# Author : Microsvuln - Arash.vre@gmail.com

import os
import string
import binascii
import codecs
import errno
import struct
import argparse
import re
from binascii import unhexlify


def ensure_dir(dir):
    try:
        os.makedirs(dir)
    except OSError as e:
        if e.errno != errno.EEXIST:
            raise


def parse_args():
    parser = argparse.ArgumentParser(
        description=(
            "Helper - Specify input file analysis and output folder to save corpus for strings in the overall project ---------------------------------------------------------------------------  Example usage : python2 thisfile.py outdir str.txt"
        )
    )
    parser.add_argument(
        "corpdir", help="The path to the corpus directory to generate strings."
    )
    parser.add_argument(
        "infile",
        help="Specify file output of codeql analysis - ex. ooo-atr.txt, analysis take place on this file, example : python2 thisfile.py outdir strings.txt",
    )

    return parser.parse_args()


def do_string_analysis(corpdir, infile1):
    with open(infile1, "r") as f1:
        lines = f1.readlines()[1:]
        f1.close()
        new_lst1 = []
        n = 1
        for i, num1 in enumerate(lines):
            if i != 0:
                new_lst1.append(num1)
                # print("num : %s" % num1)
                str11 = str(num1)
                str11 = str11.replace("|", "")
                str11 = str11.replace("\n", "")
                str11 = str11.lstrip()
                str11 = str11.rstrip()
                str11 = str(str11)
                if (
                    (" " in str11)
                    or (")" in str11)
                    or ("(" in str11)
                    or ("<" in str11)
                    or (">" in str11)
                ):
                    print("Space / Paranthesis String : %s" % str11)
                else:
                    with open(corpdir + "/strncmp-str{0}".format(n), "w") as file:
                        file.write(str11)
                        print(
                            "AFL++ Autodict-QL by Microsvuln : Writing Token : %s"
                            % str11
                        )
                        n = n + 1


def main():
    args = parse_args()
    ensure_dir(args.corpdir)
    do_string_analysis(args.corpdir, args.infile)


if __name__ == "__main__":
    main()
