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Fixed integration issue with csv streaming

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This commit is contained in:
Akash Sivakumar 2024-11-26 21:41:17 -07:00
parent 5d20e14dbf
commit b1fc1dbc49
5 changed files with 11 additions and 10 deletions
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2
clickhouse/README.md
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@ -74,7 +74,7 @@ docker exec -it clickhouse-kafka-1 kafka-console-consumer --bootstrap-server kaf
Get into the ClickHouse client:
```bash
docker exec -it clickhouse-client clickhouse-client
docker exec -it <server1's container ID from docker ps> clickhouse-client
```
Check if tables are available:
```bash

2
clickhouse/clickhouse_data/data/preprocessed_configs/config.xml
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@ -21,7 +21,7 @@
<keeper_server>
<tcp_port>9181</tcp_port>
<server_id>3</server_id>
<server_id>2</server_id>
<log_storage_path>/var/lib/clickhouse/coordination/log</log_storage_path>
<snapshot_storage_path>/var/lib/clickhouse/coordination/snapshots</snapshot_storage_path>
<coordination_settings>

9
clickhouse/docker-compose.yml
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@ -125,7 +125,7 @@ services:
condition: on-failure
pcap_streamer:
image: levenshtein/streamer_test4:latest
image: levenshtein/streamer_test7:latest
depends_on:
- kafka
networks:
@ -133,10 +133,9 @@ services:
aliases:
- pcap_streamer
volumes:
- "/host_mnt/c/Users/akash/storage/Asu/sem3/dds/project:/data/pcap"
environment:
PCAP_FILE: /data/pcap/202310081400.pcap
command: ["sh", "-c", "sleep 30 && python /app/pcap_processor.py -f /data/pcap/202310081400.pcap -s --stream_size 1000"]
#- "/host_mnt/c/Users/akash/storage/Asu/sem3/dds/project:/data/pcap"
- "/host_mnt/c/Users/akash/storage/Asu/sem3/dds/project/project_github/real-time-traffic-analysis-clickhouse/preprocessing:/data/pcap"
command: ["sh", "-c", "sleep 60 && python /app/pcap_processor.py -c /data/pcap/sample_output.csv -s --stream_size 1000"]
deploy:
replicas: 1
restart_policy:

1
preprocessing/README.md
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@ -49,3 +49,4 @@
python pcap_processor.py -f C:/Users/akash/storage/Asu/sem3/dds/project/202310081400.pcap -s --stream_size 1000
python pcap_procesor.py -c sample_output.csv -s --stream_size 1000

7
preprocessing/pcap_processor.py
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@ -19,7 +19,7 @@ class KafkaClient:
self.topic_name = topic_name
if mode == 'producer':
self.client = KafkaProducer(
bootstrap_servers=['localhost:9092'],
bootstrap_servers=['kafka:9092'],
max_request_size = 200000000,
#api_version=(0,11,5),
value_serializer=lambda x: json.dumps(x).encode('utf-8'))
@ -198,6 +198,7 @@ if __name__ == "__main__":
# if preprocessed data ready for streaming
if csv_file:
#print("true")
with open(csv_file, newline="") as f:
csv_rdr = csv.reader(f)
next(csv_rdr) # skip headers
@ -207,10 +208,10 @@ if __name__ == "__main__":
# direct streaming to kafka goes here
producer.client.send(KAFKA_TOPIC, row_to_dict(row))
dbg_print(row_to_dict(row))
dbg_print("streamed packet", idx)
print("streamed packet", idx)
if idx > sample_size:
break
dbg_print(f"total streamed: {idx}")
print(f"total streamed: {idx}")
# otherwise, process packets
else: