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from bs4 import BeautifulSoup
import requests
import datefinder # another date finding library
import re
from datetime import datetime
from datetime import timedelta
import time
import pandas as pd
import re # for salt stack specifically
from projects import trisquel
import json # import json to read project info stored in json file
# this function is brute force looping through the whole directory and checking dates
# it may sound horrible, but for certain distros, i believe it's indeed the best solution
# lists
home_site = ""
# function created
def scrape(site):
# getting the request from url
r = requests.get(site)
# converting the text
s = BeautifulSoup(r.text,"html.parser")
# salt stack specific code
# s = s.find("div", {"id": "listing"})
# print(s)
for i in s.find_all("a"): # for a href directories
href = i.attrs['href']
if href.endswith("/") and href != "../" and href != "/":
if home_site+href in urls: # avoids the link to parent directory
"""if href == "//": # netbsd specific code
site_next = site+href
if site_next not in urls:
# calling it self
def get_latest_date(web_dir):
page = requests.get(web_dir).text
str_dates = re.findall(r'(\d{2}-\w{3}-\d{4} \d{2}:\d{2})|(\d{4}-\d{2}-\d{2} \d{2}:\d{2})', page)
# print(str_dates[0])
dates = [list(datefinder.find_dates(date[1]))[0] for date in str_dates]
# for date in dates:
# print(date)
if len(dates) == 0:
return datetime(1000, 1, 1) # return ridiculously old date to discard this entry, since it has no dates
# main function
if __name__ =="__main__":
with open("data.json", "r", encoding="utf-8") as file:
data = json.load(file)
print(trisquel.check(data, "trisquel"))
"""# website to be scrape
# works on:
# calling function
latest_date = get_latest_date(urls[0])
# get_latest_date(urls[0])
for dir in urls:
latest_date2 = get_latest_date(dir)
if (latest_date2 >= latest_date):
latest_date = latest_date2