mszpot-future-processing commented on issue #41306:
URL: https://github.com/apache/airflow/issues/41306#issuecomment-2275165669
I rewrote the script:
```
def lag_tasks_with_filter(
channel,
demo,
window_size,
lag_week,
filter_col,
lag_task_role,
intermittent_data_location,
playground_bucket
):
return GlueJobOperator(
task_id=f"create_lags_task_{channel}_{demo}_w{window_size}_lag{lag_week}_filter{filter_col}",
job_name=config.generate_job_name(f"lag{lag_week}-weeks{window_size}-" +
f"filter{filter_col}-job-{channel}-{demo}"),
script_location=config.get_bridge_script("lags_bridge_script.py"),
iam_role_name=lag_task_role,
script_args={
"--lagWithCatPath":
f"s3://{intermittent_data_location}/output/with_cat" +
f"/channel={channel}/demographic={demo}",
"--rawDataInputPath":
f"s3://{playground_bucket}/output/oneyear" +
f"/channel={channel}/demographic_code={demo}/",
"--numberOfLagWeeks": str(lag_week),
"--windowSizeWeeks": str(window_size),
"--filterCol": filter_col,
"--taskId":
f"create_lags_task_{channel}_{demo}_w{window_size}_lag{lag_week}_filter{filter_col}",
},
create_job_kwargs={
"WorkerType": "G.2X",
"NumberOfWorkers": 5,
"GlueVersion": "4.0",
"DefaultArguments": {
"--job-language": "python",
"--enable-job-insights": "true",
"--enable-metrics": "true",
"--enable-auto-scaling": "true",
"--enable-observability-metrics":
"true",
"--TempDir":
f"s3://{config.get_environment_variable('glue_tmp_dir_location',
default_var='undefined')}",
"--extra-py-files":
config.get_asset_file_location(
"ctc_telligence_forecasting_data_product-0.0.1-py3-none-any.whl"
),
"--enable-spark-ui": "true",
"--spark-event-logs-path":
f"s3://{config.get_environment_variable('glue_spark_ui_logs_location',
default_var='undefined')}",
},
},
update_config=True,
)
@dag(dag_id='chore_task_group_stage3', schedule=None, catchup=False)
def pipeline():
ts = DummyOperator(task_id='start')
te = DummyOperator(task_id='end')
t1 = lag_tasks_with_filter.partial(lag_task_role=stage3_task_role,
intermittent_data_location=intermittent_data_location,
playground_bucket=playground_bucket).expand(channel=channels, demo=demos,
window_size=window_sizes, lag_week=lag_weeks, filter_col=filter_cols)
ts >> t1 >> te
pipeline()
```
But now getting:
```
AttributeError: 'function' object has no attribute 'partial'
```
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