Added the meat of the repo to pull feeds and generate word clouds

gencloud.py

@@ -0,0 +1,84 @@
+#!/usr/bin/env python2
+"""
+Using custom colors
+====================
+Using the recolor method and custom coloring functions.
+"""
+
+import random
+import feedparser
+import os
+import json
+import sys
+import string
+
+from os import path
+from scipy.misc import imread
+from wordcloud import WordCloud, STOPWORDS
+from bs4 import BeautifulSoup
+
+
+def scrapenwrite(feeds, output_dir):
+    try:
+        os.mkdir(output_dir)
+    except OSError:
+        pass
+
+    with open(path.join(output_dir, 'allposts.txt'), "w") as g:
+        for feed in feeds:
+            d = feedparser.parse(feed)
+            with open(path.join(output_dir, d.feed.title + '.txt').encode('utf8'), "w") as f:
+                for item in d.entries:
+                    soup = BeautifulSoup(item.summary)
+                    contents = "\n".join(soup.stripped_strings)
+                    f.write(contents.encode('utf8'))
+                    g.write(contents.encode('utf8'))
+
+
+def grey_color_func(word, font_size, position, orientation, random_state=None):
+    return "hsl(0, 0%%, %d%%)" % random.randint(60, 100)
+
+
+def generate_word_cloud(text, mask_filename, output_image, stop_words,
+                        max_words=1000):
+    d = path.dirname(__file__)  # get basename to prepend to mask_filename
+    mask = imread(path.join(d, mask_filename))
+
+    # adding specific stopwords
+    stopwords = STOPWORDS.copy()
+    for word in stop_words:
+        stopwords.add(word)
+    for letter in string.letters:
+        stopwords.add(letter)
+
+    wc = WordCloud(max_words=max_words, mask=mask, stopwords=stopwords,
+                   margin=10, random_state=1).generate(text)
+
+    wc.recolor(color_func=grey_color_func, random_state=3)
+
+    wc.to_file(output_image)
+
+with open(sys.argv[1]) as config_file:
+    conf = json.load(config_file)
+
+scrapenwrite(feeds=conf['feeds'], output_dir=conf['output_dir'])
+if conf.get('each_corpi'):
+    files = os.listdir(conf['output_dir'])
+else:
+    files = ['allposts.txt']
+for filename in files:
+    if filename[-4:] != '.txt':
+        continue
+    if filename == 'allposts.txt':
+        output_image = conf['output_image']
+    else:
+        output_image = filename + ".png"
+    with open(path.join(conf['output_dir'], filename)) as corpus:
+        text = corpus.read()
+        generate_word_cloud(
+            text=text,
+            mask_filename=conf['mask_filename'],
+            output_image=path.join(conf['output_dir'], output_image),
+            stop_words=conf['stop_words'],
+            max_words=conf['max_words'],
+        )