# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import os from airflow import models from airflow.providers.google.cloud.operators.life_sciences import ( LifeSciencesRunPipelineOperator, ) from airflow.utils import dates PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project-id") BUCKET = os.environ.get("GCP_GCS_LIFE_SCIENCES_BUCKET", "example-life-sciences-bucket") FILENAME = os.environ.get("GCP_GCS_LIFE_SCIENCES_FILENAME", "input.in") LOCATION = os.environ.get("GCP_LIFE_SCIENCES_LOCATION", "us-central1") # [START howto_configure_simple_action_pipeline] SIMPLE_ACTION_PIPELINE = { "pipeline": { "actions": [ {"imageUri": "bash", "commands": ["-c", "echo Hello, world"]}, ], "resources": { "regions": [f"{LOCATION}"], "virtualMachine": { "machineType": "n1-standard-1", }, }, }, } # [END howto_configure_simple_action_pipeline] # [START howto_configure_multiple_action_pipeline] MULTI_ACTION_PIPELINE = { "pipeline": { "actions": [ { "imageUri": "google/cloud-sdk", "commands": ["gsutil", "cp", f"gs://{BUCKET}/{FILENAME}", "/tmp"], }, {"imageUri": "bash", "commands": ["-c", "echo Hello, world"]}, { "imageUri": "google/cloud-sdk", "commands": [ "gsutil", "cp", f"gs://{BUCKET}/{FILENAME}", f"gs://{BUCKET}/output.in", ], }, ], "resources": { "regions": [f"{LOCATION}"], "virtualMachine": { "machineType": "n1-standard-1", }, }, } } # [END howto_configure_multiple_action_pipeline] with models.DAG( "example_gcp_life_sciences", default_args=dict(start_date=dates.days_ago(1)), schedule_interval=None, tags=["example"], ) as dag: # [START howto_run_pipeline] simple_life_science_action_pipeline = LifeSciencesRunPipelineOperator( task_id="simple-action-pipeline", body=SIMPLE_ACTION_PIPELINE, project_id=PROJECT_ID, location=LOCATION, ) # [END howto_run_pipeline] multiple_life_science_action_pipeline = LifeSciencesRunPipelineOperator( task_id="multi-action-pipeline", body=MULTI_ACTION_PIPELINE, project_id=PROJECT_ID, location=LOCATION, ) simple_life_science_action_pipeline >> multiple_life_science_action_pipeline