def get_object(bucket, key, backend, debug):
log_level = logging.INFO if not debug else logging.DEBUG
setup_lithops_logger(log_level)
storage = Storage(backend=backend)
logger.info('Downloading object {} from bucket {}'.format(key, bucket))
data_stream = storage.get_object(bucket, key, stream=True)
with open(key, 'wb') as out:
shutil.copyfileobj(data_stream, out)
logger.info('Object downloaded successfully')
def analyze_tweets(keyword, location):
# Get the data from cloud
storage = Storage()
json_tweets = storage.get_object(bucket=STORAGEBUCKET,
key=keyword + location + ".json")
packed_tweets = json.loads(json_tweets)
analisador = SentimentIntensityAnalyzer()
# Columnas CSV:
# URL, Localizacion, Fecha, Sentiment
with open(keyword + location + ".csv", 'w') as file:
writer = csv.writer(file)
writer.writerow(["URL", "Fecha", "Sentiment"])
# Start iterating over the tweets downloaded from the cloud, execute sentimental analysis and put the result in a csv file
for tweet in packed_tweets["tweets"]:
tweetstr = mtranslate.translate(str(tweet["Texto tweet"]), "en",
"auto")
writer.writerow([
str(tweet["URL"]),
str(tweet["Fecha"]),
str(analisador.polarity_scores(tweetstr)['compound'])
])
