Source code for system.amazon.aws.example_mongo_to_s3

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from __future__ import annotations

from airflow.providers.amazon.aws.operators.s3 import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.providers.amazon.aws.transfers.mongo_to_s3 import MongoToS3Operator
from airflow.providers.common.compat.sdk import DAG, chain

try:
    from airflow.sdk import TriggerRule
except ImportError:
    # Compatibility for Airflow < 3.1
    from airflow.utils.trigger_rule import TriggerRule  # type: ignore[no-redef,attr-defined]
from airflow.providers.common.compat.sdk import timezone

from system.amazon.aws.utils import SystemTestContextBuilder

DAG_ID = "example_mongo_to_s3"

# Externally fetched variables:
MONGO_DATABASE_KEY = "MONGO_DATABASE"
MONGO_COLLECTION_KEY = "MONGO_COLLECTION"

sys_test_context_task = (
    SystemTestContextBuilder().add_variable(MONGO_DATABASE_KEY).add_variable(MONGO_COLLECTION_KEY).build()
)

with DAG(
    DAG_ID,
    schedule="@once",
    start_date=timezone.datetime(2021, 1, 1),
    catchup=False,
) as dag:
    test_context = sys_test_context_task()
    env_id = test_context["ENV_ID"]
    mongo_database = test_context[MONGO_DATABASE_KEY]
    mongo_collection = test_context[MONGO_COLLECTION_KEY]

    s3_bucket = f"{env_id}-mongo-to-s3-bucket"
    s3_key = f"{env_id}-mongo-to-s3-key"

    create_s3_bucket = S3CreateBucketOperator(task_id="create_s3_bucket", bucket_name=s3_bucket)

    # [START howto_transfer_mongo_to_s3]
    mongo_to_s3_job = MongoToS3Operator(
        task_id="mongo_to_s3_job",
        mongo_collection=mongo_collection,
        # Mongo query by matching values
        # Here returns all documents which have "OK" as value for the key "status"
        mongo_query={"status": "OK"},
        s3_bucket=s3_bucket,
        s3_key=s3_key,
        mongo_db=mongo_database,
        replace=True,
    )
    # [END howto_transfer_mongo_to_s3]

    delete_s3_bucket = S3DeleteBucketOperator(
        task_id="delete_s3_bucket",
        bucket_name=s3_bucket,
        force_delete=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    chain(
        # TEST SETUP
        test_context,
        create_s3_bucket,
        # TEST BODY
        mongo_to_s3_job,
        # TEST TEARDOWN
        delete_s3_bucket,
    )

    from tests_common.test_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()

from tests_common.test_utils.system_tests import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)

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