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- Extended collect-fleet-config.sh and populate-repo.py

config/spark-jobs/consumer.py

@@ -0,0 +1,38 @@
+from kafka import KafkaConsumer
+import boto3
+import json
+from datetime import datetime
+
+KAFKA_BROKER = "10.0.21.36:9092"
+KAFKA_TOPIC = "test-lakehouse"
+S3_ENDPOINT = "http://10.0.20.111:9020"
+S3_BUCKET = "data"
+S3_ACCESS_KEY = "REDACTED"
+S3_SECRET_KEY = "REDACTED"
+
+print("Starting consumer...")
+print(f"Kafka: {KAFKA_BROKER}, Topic: {KAFKA_TOPIC}")
+print(f"S3: {S3_ENDPOINT}, Bucket: {S3_BUCKET}")
+
+s3 = boto3.client(
+    's3',
+    endpoint_url=S3_ENDPOINT,
+    aws_access_key_id=S3_ACCESS_KEY,
+    aws_secret_access_key=S3_SECRET_KEY,
+    use_ssl=False,
+    verify=False
+)
+
+consumer = KafkaConsumer(
+    KAFKA_TOPIC,
+    bootstrap_servers=[KAFKA_BROKER],
+    auto_offset_reset='earliest',
+    value_deserializer=lambda x: json.loads(x.decode('utf-8'))
+)
+
+print("Waiting for messages...")
+for msg in consumer:
+    ts = datetime.now().strftime('%Y%m%d_%H%M%S_%f')
+    key = f"kafka/{KAFKA_TOPIC}/msg_{ts}.json"
+    s3.put_object(Bucket=S3_BUCKET, Key=key, Body=json.dumps(msg.value))
+    print(f"Written: {key}")