Change Details

For each run of the data pipeline, emit: - number of records updated - number of records deleted - number of records added - number of failed batches - total count of rows in `actor_data` And we should plot these in a Grafana chart as well. That way, we'll have some visual cues if something is off with the daily imports, and we'll also be able to follow longer historical trends to understand the data update pipeline better.

For each run of the data pipeline, emit: - number of records updated - number of records deleted - number of records added - number of failed batches in DB - Caught "duplicate entry" messages (T356736) - total count of rows in `actor_data` And we should plot these in a Grafana chart as well. That way, we'll have some visual cues if something is off with the daily imports, and we'll also be able to follow longer historical trends to understand the data update pipeline better.

For each run of the data pipeline, emit: - number of records updated - number of records deleted - number of records added - number of failed batches in DB - Caught "duplicate entry" messages (T356736) - total count of rows in `actor_data` And we should plot these in a Grafana chart as well. That way, we'll have some visual cues if something is off with the daily imports, and we'll also be able to follow longer historical trends to understand the data update pipeline better.