I'm working on a Kafka-based pipeline using Python (kafka-python) where I have two separate consumers: consumer.py tracks user health factors from the topic aave-raw → uses group_id="risk-dash-test" aggregator.py reads from both aave-raw and risk-deltas → uses group_id="risk-aggregator" I’ve confirmed the group IDs are different in both files. However, when I run them together, I still see this in the logs: Successfully joined group risk-dash-test Updated partition assignment: [TopicPartition(topic='aave-raw', partition=0)] Even the aggregator logs show it's joining risk-dash-test, which is wrong. I’ve already: Changed group_id in aggregator.py to "risk-aggregator" Cleared .pyc files Added debug prints (__file__, group_id) Verified I'm running the file via python -m pipeline.aggregator Yet the aggregator still joins the risk-dash-test group, not the one I specified. What could be causing kafka-python to ignore or override the group_id even though it's clearly set to something else? Continue reading...
