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Alernatively, you can manually run the qalert_gcs.py script from your local environment, passing an -s param in UNIX format for whatever the most recent day of data is in Cloud Storage
The text was updated successfully, but these errors were encountered:
Thanks for the heads up. As long as this isn't too mission critical, I'll jump on this next Monday or Tuesday. I'll also share screens with Val so she can start to see how this all works.
Jesse Wood
Senior Data Analyst
Innovation Team
Department of Innovation and Performance
City of Pittsburgh
412-255-2261
DAGs can be rerun from here: https://k080a0b524de69e4fp-tp.appspot.com/admin/airflow/tree?dag_id=qalert
Alernatively, you can manually run the
qalert_gcs.py
script from your local environment, passing an-s
param in UNIX format for whatever the most recent day of data is in Cloud StorageThe text was updated successfully, but these errors were encountered: