[jira] [Created] (AIRFLOW-1774) Better handling of templated parameters in Google ML batch prediction operator

[JIRA]

Guillermo Rodríguez Cano created AIRFLOW-1774:
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             Summary: Better handling of templated parameters in Google ML 
batch prediction operator
                 Key: AIRFLOW-1774
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1774
             Project: Apache Airflow
          Issue Type: Improvement
          Components: operators
    Affects Versions: Airflow 2.0, 1.9.0
            Reporter: Guillermo Rodríguez Cano
            Priority: Normal


The MLEngineBatchPredictionOperator does not support well the templated 
parameter job_id due to a helper function.

Google ML requieres a unique job id, therefore it is critical to have the 
possibility to customise the job's name easily, and preferably with some data 
related to the DAG, for example, appending the day to the job's name.



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