def load_data(mabed_file):
event_results = None
mabed_filename = get_file_name(mabed_file)
tmp_file = TMP_EVENT_DATA_TEMPLATE % get_file_name(mabed_filename)
if os.path.isfile(tmp_file):
with open(tmp_file, 'rb') as tmp_result:
event_results = pickle.load(tmp_result)
else:
with open(mabed_file, 'r') as events_in:
events = json.load(events_in)
if not events:
sys.exit(1)
event_results = []
for event_no, event in enumerate(events):
print('event number %s ' % event_no)
start_ts = _get_timestamp_from_date(event['start_date'])
end_ts = _get_timestamp_from_date(event['end_date'])
tweets = Tweet.objects(
created_at__gte=datetime.datetime.fromtimestamp(start_ts),
created_at__lte=datetime.datetime.fromtimestamp(end_ts +
86400 * 61))
matched_tweets = []
for tweet in tweets:
main_words_found = []
related_words_found = []
for main_word in event['main_words']:
if main_word in tweet.text:
main_words_found.append(main_word)
for related_word in event['related_words']:
if related_word['word'] in tweet.text:
related_words_found.append(related_word['word'])
if len(event['main_words'] + event['related_words']
) * 0.2 < len(related_words_found + main_words_found):
matched_tweets.append({
'main_word': main_words_found,
'related_word': related_words_found,
'tweet_id': tweet.twitter_id
})
event_results.append({
'event': event,
'matched_tweets': matched_tweets
})
with open(tmp_file, 'wb') as tmp_result:
pickle.dump(event_results, tmp_result)
return event_results
def menu():
click.clear()
print("What do you want to do now?")
print("\t1 - Extract tweets")
print("\t2 - Generate rank of existing tweets (if existing)")
print("\t9 - Exit")
click.echo(
f"\n{click.style('Warning:', fg='black', bg='red', bold=True)} some options are destructive and will lead to unexpected results. (e.g. overwrite existing tweets)")
option = click.prompt("Enter the number of the option: ", confirmation_prompt=True,
type=click.Choice(['1', '2', '9'], False))
if option == '1':
query = click.prompt("Query for the tweets, or hashtag", type=str)
with_retweets = click.prompt("Include retweets?", type=click.Choice(['Yes', 'No'], False), default='No')
if with_retweets.lower() == 'no':
query += " -filter:retweets"
print("There are 4 different modes for the extraction: (3 of them for movies and shows)")
print(" - Strict mode: Only include each preference if there is only one result from The Movie Database.")
print(" - Order by popularity: Only include the first result ordered by popularity.")
print(" - TMDB: Include the first result based on TMBD criteria.")
print(" - Keep user text: Do not use The Movie Database service. Useful for lists that aren't movies or shows.")
mode = click.prompt("Select the mode",
type=click.Choice(['strict', 'order_by_popularity', 'tmdb', 'keep_user_text'], False))
max_tweets = click.prompt("How many tweets do you want to process? (Not final amount of extracted tweets)",
type=int)
tweets_extractor.extract(query, mode, max_tweets)
elif option == '2':
n_ranking = click.prompt("How many results should be in the ranking?", type=int)
n_samples = click.prompt("How many of the top preferences should each tweet have to be considered?", type=int)
votes = {}
for tweet in Tweet.objects():
for i in range(len(tweet.preferences)):
points = n_samples - i
if points < 1:
break
votes[tweet.preferences[i]] = votes.get(tweet.preferences[i], 0) + points
print({k: v for k, v in sorted(votes.items(), key=lambda item: item[1], reverse=True)})
"""pipeline = [
