def generate(num=200):
this_dir = path.dirname(__file__)
articles = load_articles()
# Load seed sources.
srcs = json.load(open(path.join(this_dir, 'seed_sources.json'), 'r'))
# Filter down to articles from the specified sources.
filtered = [a for a in articles if a['source'] in srcs]
# Grab the maximum articles from the top.
a = filtered[:num]
# Dump the results to another json.
new_dump = open(path.join(this_dir, 'seed.json'), 'w')
json.dump(a, new_dump)
def generate(keywords, num=5000):
this_dir = path.dirname(__file__)
articles = load_articles()
# Filter down to articles from the specified sources.
results = []
articles = articles[:num]
for idx, article in enumerate(articles):
article_words = tokenize(article['text'])
if set(article_words).issuperset(set(keywords)):
results.append(article)
progress_bar(idx / len(articles) * 100)
# Store articles into separate text files.
for article in results:
#print(json.dumps(article, sort_keys=True, indent=4))
article_path = 'unorganized_articles/{0}.txt'.format(article['title'])
f = open(path.join(this_dir, article_path), 'wb')
f.write(article['text'].encode('utf-8'))
def generate(keywords, num=5000):
this_dir = path.dirname(__file__)
articles = load_articles()
# Filter down to articles from the specified sources.
results = []
articles = articles[:num]
for idx, article in enumerate(articles):
article_words = tokenize(article['text'])
if set(article_words).issuperset(set(keywords)):
results.append(article)
progress_bar(idx/len(articles) * 100)
# Store articles into separate text files.
for article in results:
#print(json.dumps(article, sort_keys=True, indent=4))
article_path = 'unorganized_articles/{0}.txt'.format(article['title'])
f = open(path.join(this_dir, article_path), 'wb')
f.write(article['text'].encode('utf-8'))