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model-opentlc-221015-1014232706.py
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model-opentlc-221015-1014232706.py
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from airflow import DAG
from airflow_notebook.pipeline import NotebookOp
from airflow.utils.dates import days_ago
# Setup default args with older date to automatically trigger when uploaded
args = {
"project_id": "model-opentlc-221015-1014232706",
}
dag = DAG(
"model-opentlc-221015-1014232706",
default_args=args,
schedule_interval="@once",
start_date=days_ago(1),
description="Created with Elyra 2.2.4 pipeline editor using model-opentlc-221015.pipeline.",
is_paused_upon_creation=False,
)
notebook_op_9717753b_c990_4c21_88ba_4a46474a32e4 = NotebookOp(
name="ocp_deploy",
namespace="ml-workshop",
task_id="ocp_deploy",
notebook="ml-workshop/src/automation/deploy_model/ocp/ocp_deploy.py",
cos_endpoint="http://minio-ml-workshop:9000",
cos_bucket="airflow",
cos_directory="model-opentlc-221015-1014232706",
cos_dependencies_archive="ocp_deploy-9717753b-c990-4c21-88ba-4a46474a32e4.tar.gz",
pipeline_outputs=[],
pipeline_inputs=[],
image="quay.io/ml-aml-workshop/airflow-python-runner:0.0.8",
in_cluster=True,
env_vars={
"AWS_ACCESS_KEY_ID": "minio",
"AWS_SECRET_ACCESS_KEY": "minio123",
"ELYRA_ENABLE_PIPELINE_INFO": "True",
"MODEL_NAME": "om",
"MODEL_VERSION": "1",
},
config_file="None",
dag=dag,
)
notebook_op_9717753b_c990_4c21_88ba_4a46474a32e4.image_pull_policy = "IfNotPresent"