diff --git a/preprocessing/Dockerfile.python b/preprocessing/Dockerfile.python
index bba0ca6..b4b0742 100644
--- a/preprocessing/Dockerfile.python
+++ b/preprocessing/Dockerfile.python
@@ -16,5 +16,5 @@ COPY pcap_processor.py /app
 # Expose the port Kafka uses (optional, for communication with other services)
 EXPOSE 9092
 
-# Command to run your Python application
+# Command to allow custom runtime arguments
 CMD ["python", "pcap_processor.py"]
diff --git a/preprocessing/README.md b/preprocessing/README.md
index bfd5208..069efee 100644
--- a/preprocessing/README.md
+++ b/preprocessing/README.md
@@ -48,4 +48,4 @@
   - -d or --debug: boolean value indicating if program is run in debug mode
   
 
-python pcap_processor.py -f C:/Users/akash/storage/Asu/sem3/dds/project/202310081400.pcap -s --sample-size 1000
+python pcap_processor.py -f C:/Users/akash/storage/Asu/sem3/dds/project/202310081400.pcap -s --stream_size 1000
diff --git a/preprocessing/docker-compose.yml b/preprocessing/docker-compose.yml
new file mode 100644
index 0000000..008ded4
--- /dev/null
+++ b/preprocessing/docker-compose.yml
@@ -0,0 +1,64 @@
+version: '3.8'
+
+services:
+  zookeeper:
+    image: confluentinc/cp-zookeeper:latest
+    networks:
+      - kafka_network
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+    environment:
+      ZOOKEEPER_CLIENT_PORT: 2181
+    ports:
+      - "2181:2181"
+    healthcheck:
+      test: ["CMD", "nc", "-z", "localhost", "2181"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  kafka:
+    image: confluentinc/cp-kafka:latest
+    depends_on:
+      - zookeeper
+    environment:
+      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
+      KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
+      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092,PLAINTEXT://localhost:9092
+      KAFKA_LISTENER_SECURITY_PROTOCOL: PLAINTEXT
+      KAFKA_BROKER_ID: 1
+    networks:
+      - kafka_network
+    ports:
+      - "9092:9092"
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+    healthcheck:
+      test: ["CMD", "nc", "-z", "localhost", "9092"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  pcap_streamer:
+    image: levenshtein/streamer_test3:latest
+    depends_on:
+      - kafka
+    networks:
+      - kafka_network
+    volumes:
+      - "/host_mnt/c/Users/akash/storage/Asu/sem3/dds/project:/data/pcap" 
+    environment:
+      PCAP_FILE: /data/pcap/202310081400.pcap
+    command: ["sh", "-c", "sleep 10 && python /app/pcap_processor.py -f /data/pcap/202310081400.pcap -s --stream_size 1000"]
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+
+networks:
+  kafka_network:
+    driver: overlay
diff --git a/preprocessing/pcap_processor.py b/preprocessing/pcap_processor.py
index bcda443..8e5cdaa 100644
--- a/preprocessing/pcap_processor.py
+++ b/preprocessing/pcap_processor.py
@@ -6,22 +6,40 @@ from scapy.packet import Packet
 from scapy.utils import PcapReader
 from scapy.layers.inet import IP, TCP, UDP
 
-from kafka import KafkaProducer
+from kafka import KafkaProducer, KafkaConsumer
 import json
 
 dbg_print = lambda *x: DEBUG and print(f"[DEBUG] {x}")
 
+class KafkaClient:
+    def __init__(self, topic_name=None, mode='producer'):
+        self.mode = mode
+        self.topic_name = topic_name
+        if mode == 'producer':
+            self.client = KafkaProducer(
+                bootstrap_servers=['localhost:9092'],
+                api_version=(0,11,5),
+                value_serializer=lambda x: json.dumps(x).encode('utf-8'))
+        elif mode == 'consumer' and topic_name is not None:
+            self.client = KafkaConsumer(
+                topic_name, 
+                bootstrap_servers=['localhost:9092'],
+                api_version=(0,11,5),
+                value_deserializer=lambda x: json.loads(x.decode('utf-8')))
+        else:
+            raise ValueError("Consumer mode requires a topic_name")
+
 # Kafka Configuration
 KAFKA_TOPIC = 'pcap_stream'
 KAFKA_SERVER = 'localhost:9092'  # Adjust to your Kafka server
 #KAFKA_SERVER = 'kafka_service:9092'  
 
 # Initialize Kafka Producer
-producer = KafkaProducer(
-    bootstrap_servers=KAFKA_SERVER,
-    #value_serializer=lambda v: json.dumps(v).encode('utf-8')  # Encode data as JSON
-    value_serializer=lambda v: v.encode('utf-8') if isinstance(v, str) else str(v).encode('utf-8') #remove intermediate JSON encoding
-)
+# producer = KafkaProducer(
+#     bootstrap_servers=KAFKA_SERVER,
+#     value_serializer=lambda v: v.encode('utf-8') if isinstance(v, str) else str(v).encode('utf-8') #remove intermediate JSON encoding
+# )
+producer = KafkaClient(topic_name=KAFKA_TOPIC)
 
 
 def pkt_filter(pkt: Packet) -> bool:
@@ -164,6 +182,7 @@ if __name__ == "__main__":
         prep_csv(out_file)
 
     pkts = []
+    cnt = 0
     for idx, pkt in enumerate(pcap_rdr):
         # filter packets
         if not pkt_filter(pkt):
@@ -182,10 +201,12 @@ if __name__ == "__main__":
         else:
             # direct streaming to kafka goes here
             packet_data = create_pkt_object(pkt)
-            producer.send(KAFKA_TOPIC, packet_data)
-            print(f"streamed packet at index {idx} ")
+            producer.client.send(KAFKA_TOPIC, packet_data)
+            cnt += 1
+            #print(f"streamed packet at index {idx} ")
             if idx > sample_size: break
     
+    print(f"total streamed: {cnt}")
     # flush remaining
     if not streaming and len(pkts) > 0:
         pkts_write_csv(pkts, out_file)