forked from public/mirror-checker
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85 lines
2.7 KiB
85 lines
2.7 KiB
1 year ago
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from bs4 import BeautifulSoup
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import requests
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import datefinder # another date finding library
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import re
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from datetime import datetime
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from datetime import timedelta
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import time
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import pandas as pd
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from project import Project
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from shared import CSC_MIRROR
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# this function is brute force looping through the whole directory and checking dates
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# it may sound horrible, but for certain distros, i believe it's indeed the best solution
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# lists
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urls=[]
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class linuxmint(Project):
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"""linuxmint class"""
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@classmethod
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def scrape(cls, urls, site):
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# getting the request from url
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r = requests.get(site)
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# converting the text
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s = BeautifulSoup(r.text,"html.parser")
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for i in s.find_all("a"): # for a href directories
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href = i.attrs['href']
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if href.endswith("/") and href != "../" and href != "/":
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site_next = site+href
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if site_next not in urls:
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urls.append(site_next)
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# print(site_next)
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# calling it self
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cls.scrape(urls, site_next)
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@staticmethod
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def get_latest_date(web_dir):
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page = requests.get(web_dir).text
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str_dates = re.findall(r'(\d{2}-\w{3}-\d{4} \d{2}:\d{2})', page)
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# if you want to match 1+ patterns, like r'(\d{2}-\w{3}-\d{4} \d{2}:\d{2})|(\d{4}-\d{2}-\d{2} \d{2}:\d{2})', note that findall will return a tuple of two groups!!!
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# print(str_dates[0])
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if len(str_dates) == 0:
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return datetime(1000, 1, 1) # return ridiculously old date to discard this entry, since it has no dates
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# for date in str_dates:
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# print(date)
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dates = [list(datefinder.find_dates(date))[0] for date in str_dates]
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# for date in dates:
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# print(date)
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return(max(dates))
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@classmethod
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def max_date(cls, urls):
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latest_date = cls.get_latest_date(urls[0])
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# get_latest_date(urls[0])
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for dir in urls:
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latest_date2 = cls.get_latest_date(dir)
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if (latest_date2 >= latest_date):
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latest_date = latest_date2
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# print(latest_date)
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return latest_date
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@classmethod
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def check(cls, data, project):
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"""Check if project packages are up-to-date"""
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# lists
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urls1=[]
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urls2=[]
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csc_url = CSC_MIRROR + data[project]["csc"] + data[project]["file"]
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upstream_url = data[project]["upstream"] + data[project]["file"]
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# calling function
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cls.scrape(urls1, csc_url)
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cls.scrape(urls2, upstream_url)
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# print(len(urls1), len(urls2))
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return cls.max_date(urls1) == cls.max_date(urls2)
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