Apache Airflow version
2.5.3
What happened
Ran the apache-airflow-providers-apache-kafka version 1.1.2 and got this error:

What you think should happen instead
I was not at the end of my topic and I did not set a max messages so this should have processed another 1000 messages
How to reproduce
Run the provider on a topic that has more than 1000 messages
Operating System
PRETTY_NAME="Debian GNU/Linux 11 (bullseye)" NAME="Debian GNU/Linux" VERSION_ID="11" VERSION="11 (bullseye)" VERSION_CODENAME=bullseye ID=debian HOME_URL="https://www.debian.org/" SUPPORT_URL="https://www.debian.org/support" BUG_REPORT_URL="https://bugs.debian.org/"
Versions of Apache Airflow Providers
apache-airflow-providers-apache-kafka version 1.1.2
Deployment
Official Apache Airflow Helm Chart
Deployment details
Deploying onto Kubernetes
Anything else
This problem occurs every time I run it. Looks like the problem is in "consume.py" as I am using the ConsumeFromTopicOperator. Debugging a little, it is looking like the first 1000 messages it runs fine, but then the second time through for some reason it is setting batch_size wrong:

I think this problems stems from 2 lines. This line: messages_left -= len(msgs) sets the message to -999, but then this line: batch_size = self.max_batch_size if messages_left > self.max_batch_size else messages_left will pick the messages_left which is set to -999.
I believe the fix here would be to change one of the two lines, but from looking at the logic I think the correct change would either be to change to messages_left = len(msgs) or messages_left += len(msgs)
Are you willing to submit PR?
Code of Conduct
Apache Airflow version
2.5.3
What happened
Ran the apache-airflow-providers-apache-kafka version 1.1.2 and got this error:
What you think should happen instead
I was not at the end of my topic and I did not set a max messages so this should have processed another 1000 messages
How to reproduce
Run the provider on a topic that has more than 1000 messages
Operating System
PRETTY_NAME="Debian GNU/Linux 11 (bullseye)" NAME="Debian GNU/Linux" VERSION_ID="11" VERSION="11 (bullseye)" VERSION_CODENAME=bullseye ID=debian HOME_URL="https://www.debian.org/" SUPPORT_URL="https://www.debian.org/support" BUG_REPORT_URL="https://bugs.debian.org/"
Versions of Apache Airflow Providers
apache-airflow-providers-apache-kafka version 1.1.2
Deployment
Official Apache Airflow Helm Chart
Deployment details
Deploying onto Kubernetes
Anything else
This problem occurs every time I run it. Looks like the problem is in "consume.py" as I am using the ConsumeFromTopicOperator. Debugging a little, it is looking like the first 1000 messages it runs fine, but then the second time through for some reason it is setting batch_size wrong:
I think this problems stems from 2 lines. This line: messages_left -= len(msgs) sets the message to -999, but then this line: batch_size = self.max_batch_size if messages_left > self.max_batch_size else messages_left will pick the messages_left which is set to -999.
I believe the fix here would be to change one of the two lines, but from looking at the logic I think the correct change would either be to change to messages_left = len(msgs) or messages_left += len(msgs)
Are you willing to submit PR?
Code of Conduct