paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861556833
so far it has come to mind that it will be necessary to specify each
parameter in the launch parameters, like params['clustering']['high'] :
```
params = {
"clustering": {
"high": 200,
"tests": 10,
"algo": "kmeans",
"step": 10,
"low": 15
},
"project_name": "QL/SGOB/",
"experiment": {
"name": "medium_size_clustering_estimation",
"dataset": "data_test_5e5"
},
"logger": [
{
"name": "Console"
},
{
"name": "File"
}
],
"estimation": {
"metrics": [
"calinski_harabasz",
"minus_davies_bouldin"
],
"file": true
},
"data_preparation": {
"preprocess": "normalize_histogram_mean_std",
"key": "histogram"
}
}
```
```
with DAG(
'tutorial',
default_args=default_args,
schedule_interval=timedelta(days=1),
start_date=days_ago(2),
params=params,
) as dag:
```
& then use it in a task, like this
t2 = BashOperator(
task_id='run test',
depends_on_past=False,
bash_command="python3.7 test.py params.clustering.high={{
params['clustering']['high'] }}",
)
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