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# to you under the Apache License, Version 2.0 (the
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# 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
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
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from __future__ import annotations
from datetime import datetime
from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.s3 import (
S3CreateBucketOperator,
S3DeleteBucketOperator,
)
from airflow.providers.amazon.aws.transfers.gcs_to_s3 import GCSToS3Operator
from airflow.providers.google.cloud.hooks.gcs import GCSHook
from airflow.providers.google.cloud.operators.gcs import (
GCSCreateBucketOperator,
GCSDeleteBucketOperator,
)
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import SystemTestContextBuilder
# Externally fetched variables:
[docs]GCP_PROJECT_ID = "GCP_PROJECT_ID"
[docs]sys_test_context_task = SystemTestContextBuilder().add_variable(GCP_PROJECT_ID).build()
[docs]DAG_ID = "example_gcs_to_s3"
with DAG(
dag_id=DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
tags=["example"],
catchup=False,
) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context["ENV_ID"]
gcp_user_project = test_context[GCP_PROJECT_ID]
s3_bucket = f"{env_id}-gcs-to-s3-bucket"
s3_key = f"{env_id}-gcs-to-s3-key"
create_s3_bucket = S3CreateBucketOperator(task_id="create_s3_bucket", bucket_name=s3_bucket)
gcs_bucket = f"{env_id}-gcs-to-s3-bucket"
gcs_key = f"{env_id}-gcs-to-s3-key"
create_gcs_bucket = GCSCreateBucketOperator(
task_id="create_gcs_bucket",
bucket_name=gcs_bucket,
resource={"billing": {"requesterPays": True}},
project_id=gcp_user_project,
)
@task
def upload_gcs_file(bucket_name: str, object_name: str, user_project: str):
hook = GCSHook()
with hook.provide_file_and_upload(
bucket_name=bucket_name,
object_name=object_name,
user_project=user_project,
) as temp_file:
temp_file.write(b"test")
# [START howto_transfer_gcs_to_s3]
gcs_to_s3 = GCSToS3Operator(
task_id="gcs_to_s3",
bucket=gcs_bucket,
dest_s3_key=f"s3://{s3_bucket}/{s3_key}",
replace=True,
gcp_user_project=gcp_user_project,
)
# [END howto_transfer_gcs_to_s3]
delete_s3_bucket = S3DeleteBucketOperator(
task_id="delete_s3_bucket",
bucket_name=s3_bucket,
force_delete=True,
trigger_rule=TriggerRule.ALL_DONE,
)
delete_gcs_bucket = GCSDeleteBucketOperator(
task_id="delete_gcs_bucket",
bucket_name=gcs_bucket,
trigger_rule=TriggerRule.ALL_DONE,
user_project=gcp_user_project,
)
chain(
# TEST SETUP
test_context,
create_gcs_bucket,
upload_gcs_file(gcs_bucket, gcs_key, gcp_user_project),
create_s3_bucket,
# TEST BODY
gcs_to_s3,
# TEST TEARDOWN
delete_s3_bucket,
delete_gcs_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()
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)
