Initial commit of Post Statistics plugin

This commit is contained in:
Duncan Lock
2013-06-23 02:29:08 -07:00
parent 6cb0c1a925
commit d38b4a8028
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post_stats/__init__.py Normal file
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from .post_stats import *

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post_stats/post_stats.py Normal file
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# -*- coding: utf-8 -*-
"""
Post Statistics
========================
This plugin calculates various Statistics about a post and stores them in an article.stats disctionary.
wc: how many words
read_minutes: how many minutes to read this article, based on 250 wpm (http://en.wikipedia.org/wiki/Words_per_minute#Reading_and_comprehension)
word_count: frquency count of all the words in the article; can be used for tag/word clouds/
"""
from pelican import signals, contents
# import nltk
from bs4 import BeautifulSoup
# import lxml.html
# from lxml.html.clean import Cleaner
import re
from collections import Counter
def calculate_stats(instance):
WPM = 250
if instance._content is not None:
stats = {}
content = instance._content
# print content
entities = r'\&\#?.+?;'
content = content.replace(' ', ' ')
content = re.sub(entities, '', content)
# print content
# Pre-process the text to remove punctuation
drop = u'.,?!@#$%^&*()_+-=\|/[]{}`~:;\'\"‘’—…“”'
content = content.translate(dict((ord(c), u'') for c in drop))
# nltk
# raw_text = nltk.clean_html(content)
# BeautifulSoup
raw_text = BeautifulSoup(content).getText()
# raw_text = ''.join(BeautifulSoup(content).findAll(text=True))
# lxml
# cleaner = Cleaner(style=True)
# html = lxml.html.fromstring(content)
# raw_text = cleaner.clean_html(html).text_content()
# stats['wc'] = len(re.findall(r'\b', raw_text)) >> 1
# print raw_text
words = raw_text.lower().split()
word_count = Counter(words)
# print word_count
stats['word_counts'] = word_count
stats['wc'] = sum(word_count.values())
stats['read_minutes'] = (stats['wc'] + WPM // 2) // WPM
instance.stats = stats
instance.raw_text = raw_text
def register():
signals.content_object_init.connect(calculate_stats)