this is based on calsyslab project
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 

180 lines
6.8 KiB

__author__ = 'Helium'
# Here, we are importing the auxiliary functions to clean or convert data
from Forums.Utilities.utilities import *
from datetime import date
from datetime import timedelta
import re
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup, ResultSet, Tag
# This is the method to parse the Description Pages (one page to each topic in the Listing Pages)
def procrax_description_parser(soup: Tag):
# Fields to be parsed
topic = "-1" # 0 topic name
user = [] # 1 all users of each post
addDate = [] # 2 all dated of each post
feedback = [] # 3 all feedbacks of each vendor (this was found in just one Forum and with a number format)
status = [] # 4 all user's authority in each post such as (adm, member, dangerous)
reputation = [] # 5 all user's karma in each post (usually found as a number)
sign = [] # 6 all user's signature in each post (usually a standard message after the content of the post)
post = [] # 7 all messages of each post
interest = [] # 8 all user's interest in each post
image_user = [] # 9 all user avatars of each post
image_post = [] # 10 all first images of each post
# Finding the topic (should be just one coming from the Listing Page)
li = soup.find("h1", {"class": "p-title-value"})
topic = li.text
thread: ResultSet[Tag] = soup.find("div", {"class": "block-body js-replyNewMessageContainer"}).find_all("article", {"data-author": True})
for ipost in thread:
username = ipost.find("h4", {"class": "message-name"}).text
user.append(cleanString(username.strip()))
date_posted = ipost.find("ul", {"class": "message-attribution-main listInline"}).find("time").get("datetime")
datetime_obj = datetime.strptime(date_posted, "%Y-%m-%dT%H:%M:%S%z")
addDate.append(datetime_obj)
feedback.append("-1")
user_status = ipost.find("h5", {"class": "userTitle message-userTitle"}).text
status.append(cleanString(user_status.strip()))
user_lvl = ipost.find("div", {"class": "afAwardLevel"}).text
reputation.append(cleanString(user_lvl.strip()))
sign.append("-1")
user_post = ipost.find("article", {"class": "message-body js-selectToQuote"}).text
post.append(cleanString(user_post.strip()))
interest.append("-1")
bbWrapper = ipost.find('div', {"class": "bbWrapper"})
if bbWrapper is not None:
img = bbWrapper.find('img')
if img is not None:
img = img.get('src').split('base64,')[-1]
else:
img = "-1"
else:
img = "-1"
image_post.append(img)
avatar = ipost.find("a", {"class": "avatar avatar--m"})
if avatar is not None:
img = avatar.find('img')
if img is not None:
img = img.get('src').split('base64,')[-1]
else:
img = "-1"
else:
img = "-1"
image_user.append(img)
# Populate the final variable (this should be a list with all fields scraped)
row = (topic, user, status, reputation, interest, sign, post, feedback, addDate, image_user, image_post)
# Sending the results
return row
# This is the method to parse the Listing Pages (one page with many posts)
def procrax_listing_parser(soup: Tag):
nm = 0 # this variable should receive the number of topics
forum: str = "Procrax" # 0 *forum name
board = "-1" # 1 board name (the previous level of the topic in the Forum categorization tree.
# For instance: Security/Malware/Tools to hack Facebook. The board here should be Malware)
author = [] # 2 all authors of each topic
topic = [] # 3 all topics
views = [] # 4 number of views of each topic
posts = [] # 5 number of posts of each topic
href = [] # 6this variable should receive all cleaned urls (we will use this to do the marge between
# Listing and Description pages)
addDate = [] # 7 when the topic was created (difficult to find)
image_author = [] # 8 all author avatars used in each topic
# Finding the board (should be just one)
li = soup.find("h1", {"class": "p-title-value"})
board = cleanString(li.text.strip())
threads_list: ResultSet[Tag] = soup.find("div", {"class": "structItemContainer-group js-threadList"}).find_all("div", {"data-author": True})
nm = len(threads_list)
for thread in threads_list:
thread_title = thread.find("div", {"class": "structItem-title"}).text
topic.append(cleanString(thread_title.strip()))
author_icon = thread.find('a', {"class": "avatar avatar--s"})
if author_icon != None:
author_icon = author_icon.find('img')
if author_icon != None:
author_icon = author_icon.get('src')
author_icon = author_icon.split('base64,')[-1]
else:
author_icon = "-1"
else:
author_icon = "-1"
image_author.append(author_icon)
thread_author = thread.get("data-author")
author.append(cleanString(thread_author))
thread_views = thread.find("dl", {"class": "pairs pairs--justified structItem-minor"}).find('dd').text
thread_views = thread_views.lower().replace("k","000")
views.append(cleanString(thread_views.strip()))
thread_replies = thread.find("dl", {"class": "pairs pairs--justified"}).find('dd').text
# All threads contain one topic post and reply posts
thread_total_posts = str(1 + int(thread_replies))
posts.append(thread_total_posts)
thread_date = thread.find("li", {"class": "structItem-startDate"}).find("time").get("datetime")
datetime_obj = datetime.strptime(thread_date, "%Y-%m-%dT%H:%M:%S%z")
addDate.append(datetime_obj)
thread_link: str = thread.find("div", {"class": "structItem-title"}).find('a').get('href')
href.append(thread_link)
return organizeTopics(
forum=forum,
nm=nm,
board=board,
author=author,
topic=topic,
views=views,
posts=posts,
addDate=addDate,
href=href,
image_author=image_author
)
def procrax_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find_all('div', {"class": "structItem-title"})
for a in listing:
link = a.find('a', {'class': ''}).get('href')
href.append(link)
return href