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#!/usr/bin/env python3
from unbiasedObjects import *
from unbiasedFunctions import buildArticle
import os
'''
Takes in a URL, downloads the file to a temp file,
reads the file into a string, and returns that string
'''
def urlToContent(url):
#download file
os.system('wget -q -O scratch/temp1.html --no-check-certificate '+url)
#read file
f=open('scratch/temp1.html', 'r')#, encoding="utf8")
content=f.read()
f.close()
return content
'''
Creates a new newsSource2 object. For each URL in h1-h3URLs,
calls the file scraper and appends the new Article object.
Returns a newsSource2 object
'''
def buildNewsSource2(name, url, h1URLs, h2URLs, h3URLs):
h1Arr=[]
h1Arr.append(buildArticle(h1URLs[0], name))
h2Arr=[]
for x in h2URLs:
h2Arr.append(buildArticle(x, name))
h3Arr=[]
for x in h3URLs:
h3Arr.append(buildArticle(x, name))
#BUILD THE NEWS SOURCE
newsSource=NewsSource2(name, url, h1Arr, h2Arr, h3Arr)
return newsSource
'''
Some sites will replicate URLs across the page. This function removes them.
Check hierarchically: if h3 exists in h1s or h2s, remove from h3s;
if h2 exists in h1s, remove from h2s
also check partial URLs (e.g. nytimes.com/story.html is the same as
nytimes.com/story.html?var=x
'''
def removeDuplicates(h1s, h2s, h3s):
#Assume h1s is one element, and keep it
#remove h2 duplicates
removeArr=[]
for i in range(len(h2s)):
#check internally
for j in range(len(h2s)):
if i==j:
continue
else:
if h2s[i] in h2s[j]:
removeArr.append(h2s[j])
#check against h1s
for k in range(len(h1s)):
if (h2s[i] in h1s[k]) or (h1s[k] in h2s[i]):
removeArr.append(h2s[i])
for x in removeArr:
h2s.remove(x)
#remove h3 duplicates
removeArr=[]
for i in range(len(h3s)):
#check internally
for j in range(len(h3s)):
if i==j:
continue
else:
if h3s[i] in h3s[j]:
removeArr.append(h3s[j])
#check against h1s and h2s
h1and2=h1s+h2s
for k in range(len(h1and2)):
if (h3s[i] in h1and2[k]) or (h1and2[k] in h3s[i]):
removeArr.append(h3s[i])
for x in removeArr:
h3s.remove(x)
return h1s, h2s, h3s
def buildFoxNews():
url='http://foxnews.com'
name='Fox News'
#DOWNLOAD HOMEPAGE CONTENT
content=urlToContent(url)
#get main headline
h1=content
h1=h1.split('<h1><a href="', 1)[1]
h1=h1.split('"', 1)[0]
h1s=[h1]
#GET SECONDARY HEADLINES
h2=content
h2s=[]
h2=h2.split('<div class="top-stories">', 1)[1]
h2=h2.split('<section id="latest"', 1)[0]
while '<li data-vr-contentbox=""><a href="' in h2:
h2=h2.split('<li data-vr-contentbox=""><a href="', 1)[1]
x=h2.split('"', 1)[0]
if h1 not in x:
h2s.append(x)
#GET TERTIARY HEADLINES
h3=content
h3s=[]
h3=h3.split('div id="big-top"', 1)[1]
h3=h3.split('<div class="top-stories">', 1)[0]
while '<a href="' in h3:
h3=h3.split('<a href="', 1)[1]
x=h3.split('"', 1)[0]
if h1 not in x:
h3s.append(x)
h1s, h2s, h3s = removeDuplicates([h1], h2s, h3s)
fox=buildNewsSource2(name, url, h1s, h2s, h3s)
return fox
def buildNYT():
url='http://www.nytimes.com'
name='New York Times'
#DOWNLOAD HOMEPAGE CONTENT
content=urlToContent(url)
#get main headline
#this will likely need if/else logic
h1=content
#This is with a large headline over a and b columns
h1=h1.split('story theme-summary banner', 1)[1]
h1=h1.split('<a href="', 1)[1]
h1=h1.split('"', 1)[0]
#GET SECONDARY HEADLINES
#This comes from the a column or b column, above the break
h2=content
h2s=[]
#A column
h2=h2.split('<div class="a-column column">', 1)[1]
h2=h2.split('<!-- close a-column -->', 1)[0]
#remove "collection" sets
while '<div class="collection headlines">' in h2:
arr=h2.split('<div class="collection headlines">', 1)
h2=arr[0]+arr[1].split('</ul>', 1)[1]
#Grab the remaining URLs
while '<a href="' in h2:
h2=h2.split('<a href="', 1)[1]
x=h2.split('"', 1)[0]
if h1 not in x:
h2s.append(x)
#B column
h2=content
h2=h2.split('<div class="b-column column">', 1)[1]
h2=h2.split('<!-- close b-column -->', 1)[0]
#remove "collection" sets
while '<div class="collection headlines">' in h2:
arr=h2.split('<div class="collection headlines">', 1)
h2=arr[0]+arr[1].split('</ul>', 1)[1]
#Grab the remaining URLs
while '<a href="' in h2:
h2=h2.split('<a href="', 1)[1]
x=h2.split('"', 1)[0]
if (h1 not in x) and (x not in h2s):
h2s.append(x)
#GET TERTIARY HEADLINES
h3=content
h3s=[]
h3=h3.split('<!-- close lede-package-region -->', 1)[1]
h3=h3.split('<a href="https://www.nytimes.com/tips">', 1)[0]
#remove "collection" sets
while '<div class="collection headlines">' in h2:
arr=h3.split('<div class="collection headlines">', 1)
h3=arr[0]+arr[1].split('</ul>', 1)[1]
#Grab the remaining URLs
while '<a href="' in h3:
h3=h3.split('<a href="', 1)[1]
x=h3.split('"', 1)[0]
if (h1 not in x) and (x not in h3s):
h3s.append(x)
h1s, h2s, h3s = removeDuplicates([h1], h2s, h3s)
nyt=buildNewsSource2(name, url, h1s, h2s, h3s)
return nyt
'''
NYT
EXAMPLE OF BIG HEADLINE SPANNING BOTH A AND B COLUMNS
<div class="span-ab-layout layout">
<div class="ab-column column">
<section id="top-news" class="top-news">
<h2 class="section-heading visually-hidden">Top News</h2>
<div class="above-banner-region region">
<div class="collection">
<div class="hpHeader" id="top-megapackage-kicker">
<h6><a href="http://www.nytimes.com/pages/politics/index.html?src=hpHeader">The 45th President</a></h6>
</div>
</div>
</div><!-- close above-banner-region -->
<div class="span-ab-top-region region">
<div class="collection">
<article class="story theme-summary banner" id="topnews-100000004932040" data-story-id="100000004932040" data-rank="0" data-collection-renderstyle="Banner">
<h1 class="story-heading"><a href="https://www.nytimes.com/2017/02/14/us/politics/fbi-interviewed-mike-flynn.html">F.B.I. Questioned Flynn About Russia Call</a></h1>
</article>
</div>
</div><!-- close span-ab-top-region -->
'''
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