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build_keyword_pages.py
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build_keyword_pages.py
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# -*- coding: ISO-8859-1 -*-
import csv
from string import punctuation
from operator import itemgetter
# open misspellings document
csvfile = open('inputs/misspellings.csv', encoding='ISO-8859-1')
misspellings = csv.reader(csvfile, delimiter=',')
def main():
# create dictionary for misspellings
corrections = {}
for row in misspellings:
wrong = row[0]
right = row[1]
corrections[wrong] = right
# open stopwords file & read first line
stopwords = open('inputs/stopwords.txt', 'r')
# read in replacement file
stopwords_list = []
line = stopwords.readline()
while line != '':
line = line.rstrip('\n')
stopwords_list.append(line)
line = stopwords.readline()
# create holder for keywords
keywords = []
# open file containing the abstracts
abstracts = open('inputs/abstracts.txt', 'r')
for i in abstracts:
# replace noise characters
abs_words = i.replace(';', ' ').replace(',', ' ').replace(':', ' ').replace('-', ' ').replace('.', ' ') \
.replace('(', ' ').replace(')', ' ').replace('{', ' ').replace('}', ' ').replace('0', ' ').replace('1', ' ') \
.replace('2', ' ').replace('3', ' ').replace('4', ' ').replace('5', ' ').replace('6', ' ').replace('7', ' ') \
.replace('8', ' ').replace('9', ' ').replace("'", ' ').replace('"', ' ').replace(']', ' ').replace('[', ' ') \
.replace('“', ' ').replace('”', ' ').replace('?', ' ').replace('=', ' ').replace('&', ' ').split()
for word in abs_words:
word = word.lower()
# if word is in misspellings list, replace with correct spelling
for key in corrections:
word = word.replace(key, corrections[key])
# check word is not in stopwords list
if word not in stopwords_list:
keywords.append(word)
# get top keywords
# from http://stackoverflow.com/questions/4088265/sorted-word-frequency-count-using-python
words = {}
N = 35 # number of keywords to display
for word in keywords:
words[word] = words.get(word, 0) + 1
tops = sorted(words.items(), key=itemgetter(1), reverse=True)[:N]
# keep only the words, not their counts
top_keywords = []
for row in tops:
keys1 = row[0]
top_keywords.append(keys1)
# Put in descending order alphabetical
top_keywords = sorted(top_keywords)
# build HTML list of keywords
html_list = []
for word in top_keywords:
li = '<li><a href="' + word + '.html">' + word + '</a>'
html_list.append(li)
li_list = '\n'.join(map(str, html_list))
# create list to hold abstract lines
abstract_list = []
# read abstracts into individual line items
abstracts = open('inputs/abstracts.txt', 'r')
# read in the first line
aline = abstracts.readline()
# until reach the end of file
while aline != '':
# create a (new) blank list for the articles
article = []
# until reach the newline that's between each article
while aline != '\n':
aline = aline.rstrip('\n')
# append to list called article
article.append(aline)
# read the next line
aline = abstracts.readline()
# Get the whole abstract together
new_entry = ' '.join(article)
# append the individual entries to the overall list
abstract_list.append(new_entry)
# read in the next line
aline = abstracts.readline()
#### Building pages for each keyword
# take each keyword
for word in top_keywords:
indices = []
count = 0
# compare each keyword to the abstracts
for listing in abstract_list:
articleholder = []
# if keyword is in the abstract, append to a list
# of articles for that keyword
if (word in str(listing)):
# then split on the " that surround the titles
articleholder = listing.split('"')
# take the second part of the split (title) and add link
# use rstrip to remove ending commas
link = '<a href="article' + str(count) + '.html">' + \
str(articleholder[1]).rstrip(',') + '</a>'
# append the first part of the split (author) and second part (title)
# to create a listing
# use rstrip to remove ending commas
key_listing = str(articleholder[0]).rstrip(', ') + '<br>' + link
# append this to a list for the keyword page
indices.append(key_listing)
# create page for the abstract with line breaks
# use rstrip to remove ending commas
abs_page = '<u> Abstract</u>' + '<br> <br>' + \
'<i>' + str(articleholder[0]).rstrip(', ') + '</i>' + '<br>' + \
'<b>' + str(articleholder[1]).rstrip(',') + '</b>' + '<br> <br>' + \
str(articleholder[2])
# write out HTML for that article
filename = 'article' + str(count) + '.html'
keyword_file = open(filename, "w")
keyword_file.write(abs_page)
keyword_file.close()
count += 1
# build keyword abstract listing page,
# including line breaks between abstracts
page = '\n \n <br><br> \n'.join(indices)
### Print out the files
filename = word + '.html'
keyword_file = open(filename, "w")
keyword_file.write(page)
keyword_file.close()
# build HTML document
html_begin = """
<!DOCTYPE html>
<html>
<body>
<h1>Welcome to the ACM Library</h1>
<h3>A research, discovery and networking platform</h3>
<h2>Browse our library by keyword.
<h3 id="keyword"><h3>Keywords</h3></a>
<ul>
"""
html_end = """
</ul>
</body>
</html>"""
# build HTML doc
html_str = html_begin + li_list + html_end
# write out HTML
html_file = open("index.html", "w")
html_file.write(html_str)
html_file.close()
abstracts.close()
main()