example_life_sciences.py

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# to you under the Apache License, Version 2.0 (the
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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_BUCKET", "example-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_PIEPELINE = {
    "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_PIEPELINE,
        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