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

config/spark-jobs/s3_consumer_working.py

@@ -0,0 +1,57 @@
+from kafka import KafkaConsumer
+from kafka import TopicPartition
+import boto3
+import json
+from datetime import datetime
+
+# Configuratie
+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 S3 consumer...")
+print(f"Kafka: {KAFKA_BROKER}, Topic: {KAFKA_TOPIC}")
+print(f"S3: {S3_ENDPOINT}, Bucket: {S3_BUCKET}")
+
+# S3 client
+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
+)
+
+# Kafka consumer met vaste partition
+consumer = KafkaConsumer(bootstrap_servers=[KAFKA_BROKER])
+tp = TopicPartition(KAFKA_TOPIC, 0)
+consumer.assign([tp])
+consumer.seek_to_beginning()
+
+print("Reading all messages from beginning...")
+print("-" * 50)
+
+msg_count = 0
+for msg in consumer:
+    msg_count += 1
+    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S_%f')
+    key = f"kafka/{KAFKA_TOPIC}/message_{timestamp}.json"
+    
+    try:
+        data = json.loads(msg.value.decode('utf-8'))
+    except:
+        data = {"raw": msg.value.decode('utf-8')}
+    
+    s3.put_object(
+        Bucket=S3_BUCKET,
+        Key=key,
+        Body=json.dumps(data, indent=2)
+    )
+    print(f"[{msg_count}] Written: s3://{S3_BUCKET}/{key}")
+    print(f"    Data: {str(data)[:80]}...")
+
+print(f"Done! Total {msg_count} messages written to S3")