def test_spell_check4():
""" Test spell checker for word off by 0 edits """
word = "correct"
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
correction = pos_extracter.correct_word(word)
assert "correct" == correction
def test_spell_check3():
""" Test spell checker for word off by more than 2 edits """
word = "skdjfaksldfj"
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
correction = pos_extracter.correct_word(word)
assert "skdjfaksldfj" == correction
def test_lemmatization3():
""" Test the lemmatization function """
word = "run"
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
base_morpheme = pos_extracter.lemmatization(word)
assert "run" == base_morpheme
def test_parse_nouns_and_verbs5():
""" Test that the part of speech extracter is extracting only nouns and verbs """
dictionary = set_up_parse_nouns_and_verbs(["twitter", "run"])
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
assert (dictionary == pos_extracter.parse_nouns_and_verbs(
["twitter", "run"]))
def test_parse_nouns_and_verbs4():
""" Test that the part of speech extracter is extracting only nouns and verbs """
dictionary = set_up_parse_nouns_and_verbs(["walking", "yellow"])
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
assert (dictionary != pos_extracter.parse_nouns_and_verbs(
["yellow", "wallking", "he"]))
def get_tweets(self, api): """ Get a user's most recent tweets @param api : the api object returned by the authentication method @return list of tweets """ pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter() user = api.get_user(self.username) public_tweets = api.home_timeline() my_tweets = [] for tweet in public_tweets: my_tweets.append(tweet.text) all_tweets = [str(x) for x in my_tweets] return all_tweets[0:self.num_recent_tweets]
def main():
""" Initialize the subscription handler and determine the list of users to whom we
need to send recommendations """
subscription_handler = text_message.subscription_handler()
subscription_handler.handle_subscriptions()
user_recipient_list = subscription_handler.recipient_list
for user in user_recipient_list:
""" Initialize Twitter data object and get tweets object """
td = twitter_data.twitter_data(user.twitter_username)
#td = twitter_data.twitter_data('testuser242')
tweets = td.twitter_data_wrapper()
""" Initialize part of speech extracter object """
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter()
""" Obtain keywords from recent tweets by extracting only the nouns and verbs """
keywords = pos_extracter.parse_nouns_and_verbs(tweets)
keyword_list = list(keywords.keys())
""" Obtain a song that matches the keywords previously generated """
song_finder = lyric_matching.song_finder(keyword_list)
song_finder.find_song()
song_url = song_finder.song_url
song_artist = song_finder.song_artist
song_title = song_finder.song_title
""" Format the text message to be sent that includes song information """
message_formatter = text_message.message_formatter(song_artist, song_title, song_url)
message_author_title_url = message_formatter.format_message_author_title_url()
message_url = message_formatter.format_message_url()
""" Actually send the text message to the recipient"""
text_messager= text_message.text_messager(user.phone_number)
text_messager.send_message(message_author_title_url)
def main():
""" Initialize the subscription handler and determine the list of users to whom we
need to send recommendations """
subscription_handler = text_message.subscription_handler()
subscription_handler.handle_subscriptions()
user_recipient_list = subscription_handler.recipient_list
for user in user_recipient_list:
""" Initialize Twitter data object and get tweets object """
td = twitter_data.twitter_data(user.twitter_username)
#td = twitter_data.twitter_data('testuser242')
tweets = td.twitter_data_wrapper()
""" Initialize part of speech extracter object """
pos_extracter = keyword_extracting_algorithms.part_of_speech_extracter(
)
""" Obtain keywords from recent tweets by extracting only the nouns and verbs """
keywords = pos_extracter.parse_nouns_and_verbs(tweets)
keyword_list = list(keywords.keys())
""" Obtain a song that matches the keywords previously generated """
song_finder = lyric_matching.song_finder(keyword_list)
song_finder.find_song()
song_url = song_finder.song_url
song_artist = song_finder.song_artist
song_title = song_finder.song_title
""" Format the text message to be sent that includes song information """
message_formatter = text_message.message_formatter(
song_artist, song_title, song_url)
message_author_title_url = message_formatter.format_message_author_title_url(
)
message_url = message_formatter.format_message_url()
""" Actually send the text message to the recipient"""
text_messager = text_message.text_messager(user.phone_number)
text_messager.send_message(message_author_title_url)
