def test_format_answers(self):
q = Questionnaire()
q.add('k', prompter=lambda prompt: 'v')
q.run()
self.assertEqual(q.format_answers(fmt='obj'), '{"k": "v"}')
self.assertEqual(q.format_answers(fmt='array'), '[["k", "v"]]')
self.assertEqual(q.format_answers(fmt='plain'), 'k: v')
def test_format_answers(self):
q = Questionnaire()
q.add('k', prompter=lambda prompt: 'v')
q.run()
self.assertEqual(q.format_answers(fmt='obj'), '{"k": "v"}')
self.assertEqual(q.format_answers(fmt='array'), '[["k", "v"]]')
self.assertEqual(q.format_answers(fmt='plain'), 'k: v')
def Questions():
'''
AIM -> Create a good looking questionnaire to generate required arguments to be used with tweet_collection
OUTPUT -> String with desired arguments
'''
# Initialize Questionnaire
q = Questionnaire()
# Create Raw Questions
q.raw('Search Keyword')
q.raw('Number of Tweets', type=int)
q.raw('CSV Name')
# Run the module
q.run()
return q.format_answers()
#!/usr/bin/env python
from questionnaire import Questionnaire
from languages import every_language, language_name_list
from google.cloud import *
from generator import generate
q = Questionnaire()
q.one("What is your language", 'Afrikaans', 'Albanian', 'Amharic', 'Arabic', 'Armenian', 'Azerbaijani', 'Basque', 'Belarusian', 'Bengali', 'Bosnian', 'Bulgarian', 'Catalan', 'Cebuano', 'Chichewa', 'Chinese (Simplified)', 'Chinese (Traditional)', 'Corsican', 'Croatian', 'Czech', 'Danish', 'Dutch', 'English', 'Esperanto', 'Estonian', 'Filipino', 'Finnish', 'French', 'Frisian', 'Galician', 'Georgian', 'German', 'Greek', 'Gujarati', 'Haitian Creole', 'Hausa', 'Hawaiian', 'Hebrew', 'Hindi', 'Hmong', 'Hungarian', 'Icelandic', 'Igbo', 'Indonesian', 'Irish', 'Italian', 'Japanese', 'Javanese', 'Kannada', 'Kazakh', 'Khmer', 'Korean', 'Kurdish (Kurmanji)', 'Kyrgyz', 'Lao', 'Latin', 'Latvian', 'Lithuanian', 'Luxembourgish', 'Macedonian', 'Malagasy', 'Malay', 'Malayalam', 'Maltese', 'Maori', 'Marathi', 'Mongolian', 'Myanmar (Burmese)', 'Nepali', 'Norwegian', 'Pashto', 'Persian', 'Polish', 'Portuguese', 'Punjabi', 'Romanian', 'Russian', 'Samoan', 'Scots Gaelic', 'Serbian', 'Sesotho', 'Shona', 'Sindhi', 'Sinhala', 'Slovak', 'Slovenian', 'Somali', 'Spanish', 'Sundanese', 'Swahili', 'Swedish', 'Tajik', 'Tamil', 'Telugu', 'Thai', 'Turkish', 'Ukrainian', 'Urdu', 'Uzbek', 'Vietnamese', 'Welsh', 'Xhosa', 'Yiddish', 'Yoruba', 'Zulu')
q.run()
a = q.format_answers(fmt='plain');
a = a.split(" ")
#language of choice
abbreviated_language = language_name_list[every_language.index(a[-1])][0]
# Instantiates a client
translate_client = translate.Client()
# Translates Quetionire into desired language
# translation = translate_client.translate(text,target_language=abbreviated_language)
q = Questionnaire()
q.raw(translate_client.translate('first_name',target_language=abbreviated_language)['translatedText'], prompt= translate_client.translate('What is your First Name?',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate('last_name',target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What is your Last Name?',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate("email",target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What is your email? ',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate("phone_number",target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What is your phone number?',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate("address_line_1",target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What is your street address?',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate("city",target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What city?',target_language=abbreviated_language)['translatedText'])
q.raw(translate_client.translate("country",target_language=abbreviated_language)['translatedText'],prompt=translate_client.translate('What country?',target_language=abbreviated_language)['translatedText'])
from questionnaire import Questionnaire
q = Questionnaire()
q.one('day', 'monday', 'friday', 'saturday')
q.one('time', 'morning', 'night')
q.many('activities', 'tacos de pastor', 'go to cantina',
'write code').condition(('time', 'night'))
q.many('activities', 'barbacoa', 'watch footy', 'walk dog').condition(
('day', 'saturday'), ('time', 'morning'))
q.many('activities', 'eat granola', 'get dressed', 'go to work').condition(
('time', 'morning'))
q.run()
print(q.format_answers(fmt='array'))
from questionnaire import Questionnaire
q = Questionnaire()
q.one('day', 'monday', 'friday', 'saturday')
q.one('time', 'morning', 'night')
q.many('activities', 'tacos de pastor', 'go to cantina', 'write code').condition(('time', 'night'))
q.many('activities', 'barbacoa', 'watch footy', 'walk dog').condition(('day', 'saturday'), ('time', 'morning'))
q.many('activities', 'eat granola', 'get dressed', 'go to work').condition(('time', 'morning'))
q.run()
print(q.format_answers(fmt='array'))
