Source code for tests.system.providers.google.cloud.datapipelines.example_datapipeline

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"""
Example Airflow DAG for testing Google DataPipelines Create Data Pipeline Operator.
"""
from __future__ import annotations

import os
from datetime import datetime
from pathlib import Path

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.datapipeline import (
    CreateDataPipelineOperator,
    RunDataPipelineOperator,
)
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator
from airflow.utils.trigger_rule import TriggerRule


[docs]DAG_ID = "google-datapipeline"


[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")


[docs]GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")


[docs]GCP_LOCATION = os.environ.get("location", "us-central1")



[docs]PIPELINE_NAME = os.environ.get("DATA_PIPELINE_NAME", "defualt-pipeline-name")


[docs]PIPELINE_TYPE = "PIPELINE_TYPE_BATCH"



[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"



[docs]FILE_NAME = "kinglear.txt"


[docs]TEMPLATE_FILE = "word-count.json"


[docs]DATAPIPELINES_JOB_NAME = "test-job-name"


[docs]TEMP_LOCATION = f"gs://{BUCKET_NAME}/temp"



[docs]GCS_PATH = f"gs://{BUCKET_NAME}/templates/{TEMPLATE_FILE}"


[docs]INPUT_FILE = f"gs://{BUCKET_NAME}/examples/{FILE_NAME}"


[docs]OUTPUT = f"gs://{BUCKET_NAME}/results/hello"



[docs]FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / FILE_NAME)


[docs]TEMPLATE_LOCAL_PATH = str(Path(__file__).parent / "resources" / TEMPLATE_FILE)


with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "datapipeline"],
) as dag:

[docs]    create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=BUCKET_NAME)


    upload_file = LocalFilesystemToGCSOperator(
        task_id="upload_file_to_bucket",
        src=FILE_LOCAL_PATH,
        dst=FILE_NAME,
        bucket=BUCKET_NAME,
    )

    upload_template = LocalFilesystemToGCSOperator(
        task_id="upload_template_to_bucket",
        src=TEMPLATE_LOCAL_PATH,
        dst=TEMPLATE_FILE,
        bucket=BUCKET_NAME,
    )

    # [START howto_operator_create_data_pipeline]
    create_data_pipeline = CreateDataPipelineOperator(
        task_id="create_data_pipeline",
        project_id=GCP_PROJECT_ID,
        location=GCP_LOCATION,
        body={
            "name": f"projects/{GCP_PROJECT_ID}/locations/{GCP_LOCATION}/pipelines/{PIPELINE_NAME}",
            "type": PIPELINE_TYPE,
            "workload": {
                "dataflowFlexTemplateRequest": {
                    "launchParameter": {
                        "containerSpecGcsPath": GCS_PATH,
                        "jobName": DATAPIPELINES_JOB_NAME,
                        "environment": {"tempLocation": TEMP_LOCATION},
                        "parameters": {
                            "inputFile": INPUT_FILE,
                            "output": OUTPUT,
                        },
                    },
                    "projectId": GCP_PROJECT_ID,
                    "location": GCP_LOCATION,
                }
            },
        },
    )
    # [END howto_operator_create_data_pipeline]

    delete_bucket = GCSDeleteBucketOperator(
        task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
    )

    (create_bucket >> upload_file >> upload_template >> create_data_pipeline >> delete_bucket)

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "teardown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()

    # [START howto_operator_run_data_pipeline]
    run_data_pipeline = RunDataPipelineOperator(
        task_id="run_data_pipeline",
        data_pipeline_name=PIPELINE_NAME,
        project_id=GCP_PROJECT_ID,
    )
    # [END howto_operator_run_data_pipeline]

from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

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