Source code for system.amazon.aws.example_exasol_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.exasol_to_s3 import ExasolToS3Operator
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_exasol_to_s3"

# Externally fetched variables:
# The table (or view) exported below. The connection used by exasol_conn_id
# (default: exasol_default) must point to a running Exasol instance.
EXASOL_TABLE_KEY = "EXASOL_TABLE"

sys_test_context_task = SystemTestContextBuilder().add_variable(EXASOL_TABLE_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"]
    exasol_table = test_context[EXASOL_TABLE_KEY]

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

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

    # [START howto_transfer_exasol_to_s3]
    exasol_to_s3_job = ExasolToS3Operator(
        task_id="exasol_to_s3_job",
        query_or_table=exasol_table,
        key=s3_key,
        bucket_name=s3_bucket,
        replace=True,
    )
    # [END howto_transfer_exasol_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
        exasol_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)