def execute(self):
nytimes = NY_TIMES()
cnn = CNN()
guardian = Guardian()
reddit = Reddit()
wsj = WSJ()
if self.application == 'all':
print('...searching The New York Times')
nytimes.search()
nytimes.keywords()
nytimes.mains()
nytimes.top_stories()
self.write_into_text(nytimes.all_mentions)
print('...searching CNN')
cnn.everything()
self.write_into_text(cnn.all_mentions)
print('...searching The Guardian')
guardian.searches()
self.write_into_text(guardian.num_articles)
print('...searching Reddit')
reddit.aggregate_submissions()
reddit.aggregate_comments()
self.write_into_text(reddit.all_mentions)
print('...searching The Wall Street Journal')
wsj.everything()
self.write_into_text(wsj.all_mentions)
self.total_mentions = (nytimes.total_mentions) + len(
cnn.all_mentions) + (guardian.num_articles) + len(
reddit.all_mentions) + len(wsj.all_mentions)
print('There are a total of ' + str((self.total_mentions)) +
' mentions')
print('The New York Times had ' + str((nytimes.total_mentions)) +
' mentions')
print('CNN had ' + str(len(cnn.all_mentions)) + ' mentions')
print('The Guardian had ' + str(guardian.num_articles) +
' mentions')
print('Reddit had ' + str(len(reddit.all_mentions)) + ' mentions')
print('The Wall Street Jornal had ' + str(len(wsj.all_mentions)) +
' mentions')
print('...Generating your model')
# Send the data to create the matplot graph
self.data = [(nytimes.total_mentions),
len(cnn.all_mentions), (guardian.num_articles),
len(reddit.all_mentions),
len(wsj.all_mentions)]
self.data_labels = [
'The New York Times', 'CNN', 'The Guardian', 'Reddit',
'The Wall Street Journal'
]
plt.pie(self.data, labels=self.data_labels, autopct='%1.1f%%')
plt.title('COVID-19 Mentions')
plt.axis('equal')
plt.show()
elif self.application == 'nytimes':
nytimes.search()
nytimes.keywords()
nytimes.mains()
nytimes.top_stories()
self.write_into_text(nytimes.all_mentions)
self.total_mentions = nytimes.total_mentions
print('The New York Times had ' + str(nytimes.total_mentions) +
' mentions')
elif self.application == 'guardian':
guardian.searches()
self.write_into_text(guardian.all_mentions)
self.total_mentions = guardian.num_articles
print('The Guardian had ' + str(len(guardian.num_articles)) +
' mentions')
elif self.application == 'cnn':
cnn.everything()
self.write_into_text(cnn.all_mentions)
self.total_mentions = len(cnn.all_mentions)
print('CNN had ' + str(cnn.all_mentions) + ' mentions')
elif self.application == 'reddit':
reddit.aggregate_submissions()
reddit.aggregate_comments()
self.write_into_text(reddit.all_mentions)
self.total_mentions = len(reddit.all_mentions)
print('Reddit had ' + str(len(reddit.all_mentions)) + ' mentions')
elif self.application == 'wsj':
wsj.everything()
self.write_into_text(wsj.all_mentions)
self.total_mentions = len(wsj.all_mentions)
print('The Wall Street Journal had ' + str(len(wsj.all_mentions)) +
' mentions')
else:
print('Not a valid option')
