databricks-cli/acceptance/bundle/quality_monitor/output.txt

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>>> $CLI bundle validate -o json -t development
{
"mode": "development",
"quality_monitors": {
"my_monitor": {
"assets_dir": "/Shared/provider-test/databricks_monitoring/main.test.thing1",
"inference_log": {
"granularities": [
"1 day"
],
"model_id_col": "model_id",
"prediction_col": "prediction",
"problem_type": "PROBLEM_TYPE_REGRESSION",
"timestamp_col": "timestamp"
},
"output_schema_name": "main.dev",
"schedule": null,
"table_name": "main.test.dev"
}
}
}
>>> $CLI bundle validate -o json -t staging
{
"mode": null,
"quality_monitors": {
"my_monitor": {
"assets_dir": "/Shared/provider-test/databricks_monitoring/main.test.thing1",
"inference_log": {
"granularities": [
"1 day"
],
"model_id_col": "model_id",
"prediction_col": "prediction",
"problem_type": "PROBLEM_TYPE_REGRESSION",
"timestamp_col": "timestamp"
},
"output_schema_name": "main.staging",
"schedule": {
"quartz_cron_expression": "0 0 12 * * ?",
"timezone_id": "UTC"
},
"table_name": "main.test.staging"
}
}
}
>>> $CLI bundle validate -o json -t production
{
"mode": null,
"quality_monitors": {
"my_monitor": {
"assets_dir": "/Shared/provider-test/databricks_monitoring/main.test.thing1",
"inference_log": {
"granularities": [
"1 day",
"1 hour"
],
"model_id_col": "model_id_prod",
"prediction_col": "prediction_prod",
"problem_type": "PROBLEM_TYPE_REGRESSION",
"timestamp_col": "timestamp_prod"
},
"output_schema_name": "main.prod",
"schedule": {
"quartz_cron_expression": "0 0 12 * * ?",
"timezone_id": "UTC"
},
"table_name": "main.test.prod"
}
}
}