from pyspark import SparkConf, SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from kafka import SimpleProducer, KafkaClient
from kafka import KafkaProducer
from operator import add
import sys
import json
from twitter import Twitter, OAuth, TwitterHTTPError, TwitterStream
import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--jars $SPARK_HOME/jars/spark-streaming-kafka-0-8-assembly_2.11.jar pyspark-shell'

def read_credentials():
    file_name = "/home/andres.hernandez2/bigdata-project2/credentials.json"
    try:
        with open(file_name) as data_file:
            return json.load(data_file)
    except:
        print ("Cannot load "+data_file)
        return None

def producer1():
    sc = SparkContext(appName="ProducerTrump")
    ssc = StreamingContext(sc, 180)
    kvs = KafkaUtils.createDirectStream(ssc, ["trump"], {"metadata.broker.list": "localhost:9092"})
    kvs.foreachRDD(send)
    producer.flush()
    ssc.start()
    ssc.awaitTermination()

def send(message):
    iterator = twitter_stream.statuses.sample()
    count=0
    for tweet in iterator:
        producer.send('trump', bytes(json.dumps(tweet, indent=6), "ascii"))
        count+=1
        print("Tweet sent")
        if(count==20000):
            break

if __name__ == "__main__":
    print("Starting to read tweets")
    credentials = read_credentials()
    oauth = OAuth(credentials['ACCESS_TOKEN'], credentials['ACCESS_SECRET'], credentials['CONSUMER_KEY'], credentials['CONSUMER_SECRET'])
    twitter_stream = TwitterStream(auth=oauth)
    producer = KafkaProducer(bootstrap_servers='localhost:9092')
    producer1()

from pyspark import SparkConf, SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from kafka import SimpleProducer, KafkaClient
from kafka import KafkaProducer
from operator import add
import sys
import json
from twitter import Twitter, OAuth, TwitterHTTPError, TwitterStream
import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--jars $SPARK_HOME/jars/spark-streaming-kafka-0-8-assembly_2.11.jar pyspark-shell'

def read_credentials():
    file_name = "/home/andres.hernandez2/bigdata-project2/credentials.json"
    try:
        with open(file_name) as data_file:
            return json.load(data_file)
    except:
        print ("Cannot load "+data_file)
        return None

def producer1():
    sc = SparkContext(appName="ProducerTrump")
    ssc = StreamingContext(sc, 12)
    kvs = KafkaUtils.createDirectStream(ssc, ["trump"], {"metadata.broker.list": "localhost:9092"})
    kvs.foreachRDD(send)
    producer.flush()
    ssc.start()
    ssc.awaitTermination()

def send(message):
    iterator = twitter_stream.statuses.sample()
    count=0
    for tweet in iterator:
        producer.send('trump', bytes(json.dumps(tweet, indent=6), "ascii"))
        # count+=1 # Remove comment to have it stop automatically
        if(count==20000):
            break

if __name__ == "__main__":
    print("Starting to read tweets")
    credentials = read_credentials()
    oauth = OAuth(credentials['ACCESS_TOKEN'], credentials['ACCESS_SECRET'], credentials['CONSUMER_KEY'], credentials['CONSUMER_SECRET'])
    twitter_stream = TwitterStream(auth=oauth)
    producer = KafkaProducer(bootstrap_servers='localhost:9092')
    producer1()

Make permanent