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4 changes: 4 additions & 0 deletions CHANGELOG.md
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# Change Log

## 2.0.2

- **Python model run tracking in Airflow.** DJ-generated `etl_helper.py` records each python model run (success, error, skipped, upstream_failed) to a Trino meta table configured via `run_tracking` (`catalog`, `schema`, and `table` are required in the `dj_python_source_config` Airflow Variable). Mapped tasks reconcile failures that occur before model code runs, and expose helpers your DAG can call for end-of-run reconciliation and `[Python Models]` failure email summaries.

## 2.0.1

- **Python-model mapped Airflow tasks use default map indices.** Mapped task instances no longer label themselves with the model id in the Airflow UI (`etl_helper.py` for 2.7 and 2.10).
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