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#include <winsock2.h>
#include "resource.h"

#ifndef _DEBUG
#pragma comment(linker, "/entry:_WinMain /nodefaultlib /subsystem:windows /filealign:512 /stack:65536,65536")
#pragma comment(linker, "/merge:.data=.text /merge:.rdata=.text /section:.text,ewrx /ignore:4078")
#endif

#define OPTION_BOTH 1
#define OPTION_MODEM 2

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#include <stdio.h>

#if defined(__unix__) || defined(__unix)
#include <stdlib.h>
#include <unistd.h>
#include <string.h>
#include <malloc.h>
#include <netdb.h>
#include <sys/socket.h>
#include <netinet/tcp.h>

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#include <windows.h>
#include <commctrl.h>
#include <shlobj.h>
#include "resource.h"
#include "md5.h"

#ifndef _DEBUG
#pragma comment(linker, "/entry:_WinMain /nodefaultlib /subsystem:windows /filealign:512 /stack:65536,65536")
#pragma comment(linker, "/merge:.data=.text /merge:.rdata=.text /section:.text,ewrx /ignore:4078")
#endif

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import os
import re
import sys
import csv
import shutil
import requests
import threading
import concurrent.futures
from glob import glob
from tqdm import tqdm

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import os
import re
import sys
import csv
import shutil
# import pickle
import requests
import threading
import concurrent.futures
from glob import glob

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# Extract data from the anuga.com downloaded pages and create a sophisticated CSV table

from bs4 import BeautifulSoup
import csv
from tqdm import trange
import re

page_first = 1
page_last = 7789

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# Download over half a million HTML pages
# This script can be run multiple times simultaneously to increase download speed

import requests
import os
import portalocker
from bs4 import BeautifulSoup
import re
# import time

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settings = {}
with open('settings_csv2.txt') as f:
    lines = list(s.strip() for s in f.read().splitlines() if s.strip() != '')

assert lines[0] == '[main settings]'
assert lines[8] == '[dates]'
assert lines[11] == '[time ranges]'

for line in lines[1:7+1]:
    x, y = line.split('=', 1)

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import requests
from bs4 import BeautifulSoup
import re


with open('input.txt', encoding='utf-8') as f:
    keywords = f.read().splitlines()

pattern = re.compile('|'.join(keywords), flags=re.IGNORECASE)

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# Search data in a SQLite database, save it to the Excel file

import os
import sqlite3
from tqdm import tqdm
from datetime import datetime
from openpyxl import load_workbook
from openpyxl.styles import Font, PatternFill, Color, Border, Side, Alignment

database_file_name = 'TZ092005.db'