def main():
db_setup.global_init()
print(Fore.BLUE, "Hotel service", Fore.RESET)
commands()
apartments = Apartment_service()
guests = Guest_service()
reservations = Reservation_service()
while True:
action = get_action()
with switch(action) as s:
s.case('l', apartments.apartments_list)
s.case('a', apartments.add_apartment)
s.case('s', apartments.search_apartment)
s.case('v', guests.guest_list)
s.case('g', guests.add_guest)
s.case('b', reservations.reservation_list)
s.case('m', reservations.add_reservation)
s.case('?', commands)
s.case('e', exit)
s.default(lambda: print("Sorry, this is unknown command"))
def main():
db_setup.global_init()
print(Fore.BLUE, "Hotel service", Fore.RESET)
commands()
apartments = Apartment_service()
guests = Guest_service()
bookings = Booking_service()
while True:
action = get_action()
with switch(action) as s:
s.case('l', apartments.apartments_list)
s.case('a', apartments.apartments_add)
s.case('s', apartments.search_apartment)
s.case('v', guests.guest_list)
s.case('g', guests.guest_add)
s.case('b', bookings.booking_list)
s.case('sg', bookings.booking_seach_by_name)
s.case('m', bookings.booking_add)
s.case('?', commands)
s.case('e', exit)
s.default(lambda: print("Sory? this is not comand"))
def main_three(reportType, out_file):
import services.mongo_setup as mongo_setup
import services.data_service as data_service
mongo_setup.global_init()
sample_tweet = data_service.find_tweet_by_mood(report=reportType).all()
rep_list = list()
print('Start appending')
for e in sample_tweet:
text = e.text
report = e.report
id = e.tweetID
if text.find("@nadidoesart") >= 1:
print('SKIP')
continue
d = pd.DataFrame.from_dict({
'id': id,
'text': text,
'report': report
},
orient='index').T
rep_list.append(d)
print('Done appending')
data = pd.concat(rep_list)
data.to_csv(out_file)
""" Stream in tweets and add them to the database
"""
rep = status._json
(id,cont,fin_senti)= self.tweet_process(rep) #this does the sentiment analysis j
data_service.create_finding(id,cont,fin_senti) #this adds to the datbase
return (True,)
def on_error(self,status):
return status
def tweet_process(self,tweet):
""" takes a tweet runs it through a simple sentiment analyzer. returns the id and content in a dataframe
"""
id = str(tweet['id'])
try:
content = tweet['extended_tweet']['full_text']
except KeyError:
content = tweet['text']
output =sentiments[self.classy(content)]
return (id,content,output)
def main():
#initialize using twitter api. these are my enviroment keys
auth = tweepy.OAuthHandler(os.environ['API_KEY'], os.environ['API_SECRET_KEY'])
auth.set_access_token(os.environ['T_ACCESS'], os.environ['T_SECRET'])
api = tweepy.API(auth)
classi = text2pred()
myListen = MyStreamListener(classy=classi)
myStream = tweepy.Stream(auth=api.auth,listener=myListen)
myStream.filter(track=['breast cancer', 'breast lump','breast pain']) #term we'll be tracking. Using debate currently for the sake of simplicity
if __name__=="__main__":
mongo_setup.global_init()
main()
@Slot()
def ShowUsers(self):
print("Show users")
self.closeMainWindow()
guests_window = GuestsWindow(self.mdi)
guests_window.destroyed.connect(self.ShowMainWindow)
@Slot()
def ShowHelp(self):
msg = QMessageBox()
msg.setIcon(QMessageBox.Information)
msg.setText("This is help")
msg.exec_()
print("Help")
def closeMainWindow(self):
if self.main_window:
self.main_window.close()
self.main_window = None
db_setup.global_init()
app = QApplication(sys.argv)
mdi = MDIWindow()
mdi.setMaximumSize(800, 600)
mdi.setMinimumSize(800, 600)
mdi.show()
app.exec_()
print('\n\n\t\t REQUEST RECEIVED IN MAIN LOOP \n')
# Check the Request method
if request.method == "POST":
print("_____ Request method is post ______")
elif request.method == "GET":
print("_____ REQUEST method is GET _____")
else:
print("_____ METHOD of Request is Something Else _____")
if request.is_json:
print("//////// ---- HURRAH the requested data -IS- Json ---- \\\\\\\\")
else:
print(" ///// ---- The Request Type is NOT JSON ---- \\\\\\")
# Run the stuff
if __name__ == '__main__':
# Setup Mongo db
mongodb_setup.global_init()
app.run(debug=True, host='0.0.0.0', port=502)