def __init__(self):
config = ConfigReader("config.json")
auth = OAuthHandler(config.get_key("CONSUMER_KEY"),
config.get_key("CONSUMER_SECRET"))
auth.set_access_token(config.get_key("ACCESS_TOKEN_KEY"),
config.get_key("ACCESS_TOKEN_SECRET"))
self.api = tweepy.API(auth_handler=auth,
wait_on_rate_limit=True,
wait_on_rate_limit_notify=True)
self.rate_limits = self.tweep_rate_limits_to_dictionary(
self.api.rate_limit_status())
self.scrapers = []
kafka_url = "{:s}:{:s}".format(config.get_key("KAFKA_HOST"),
config.get_key("KAFKA_PORT"))
try:
kafka = SimpleClient(kafka_url, timeout=60)
except KafkaUnavailableError as e:
logging.error("Could not connect to Kafka2")
raise e
self.producer = SimpleProducer(kafka)
try:
with open("data/AFINN-96.txt") as file:
sentiment_data = dict(csv.reader(file, delimiter='\t'))
for key in sentiment_data:
sentiment_data[key] = int(sentiment_data[key])
except IOError as e:
logging.error("Could not open sentiment data file " + str(e.args))
exit(1)
except ValueError:
logging.error("Sentiment data file not valid")
exit(1)
config = ConfigReader("config.json")
zookeeper_url = "{:s}:{:s}".format(config.get_key("ZOOKEEPER_HOST"), config.get_key("ZOOKEEPER_PORT"))
kafka_topic = config.get_key("KAFKA_TOPIC")
output_topic = config.get_key("KAFKA_OUTPUT_TOPIC")
sc = SparkContext(appName="PythonTweetCleaner")
sc.setLogLevel("ERROR")
ssc = StreamingContext(sc, 10)
kafka_params = {"startingOffsets": "earliest"}
kafkaStream = KafkaUtils.createStream(ssc, zookeeper_url, 'spark-streaming',
{kafka_topic: 1}, kafka_params)
# output stream
try: