#
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# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
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"""
Example Airflow DAG that demonstrates interactions with Google Cloud Transfer.
"""
from __future__ import annotations

import os
from datetime import datetime, timedelta

from pydantic.main import deepcopy

from airflow import models
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.cloud_storage_transfer_service import (
    ALREADY_EXISTING_IN_SINK,
    AWS_S3_DATA_SOURCE,
    BUCKET_NAME,
    DESCRIPTION,
    FILTER_JOB_NAMES,
    FILTER_PROJECT_ID,
    GCS_DATA_SINK,
    JOB_NAME,
    PROJECT_ID,
    SCHEDULE,
    SCHEDULE_END_DATE,
    SCHEDULE_START_DATE,
    START_TIME_OF_DAY,
    STATUS,
    TRANSFER_OPTIONS,
    TRANSFER_SPEC,
    GcpTransferJobsStatus,
    GcpTransferOperationStatus,
)
from airflow.providers.google.cloud.operators.cloud_storage_transfer_service import (
    CloudDataTransferServiceCancelOperationOperator,
    CloudDataTransferServiceCreateJobOperator,
    CloudDataTransferServiceDeleteJobOperator,
    CloudDataTransferServiceGetOperationOperator,
    CloudDataTransferServiceListOperationsOperator,
    CloudDataTransferServicePauseOperationOperator,
    CloudDataTransferServiceResumeOperationOperator,
)
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.sensors.cloud_storage_transfer_service import (
    CloudDataTransferServiceJobStatusSensor,
)
from airflow.utils.trigger_rule import TriggerRule

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")

DAG_ID = "example_gcp_transfer_aws"

EXAMPLE_BUCKET = "airflow-system-tests-resources"
EXAMPLE_FILE = "storage-transfer/big_file.dat"
BUCKET_SOURCE_AWS = f"bucket-aws-{DAG_ID}-{ENV_ID}".replace("_", "-")
BUCKET_TARGET_GCS = f"bucket-gcs-{DAG_ID}-{ENV_ID}".replace("_", "-")
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get("WAIT_FOR_OPERATION_POKE_INTERVAL", 5))

GCP_DESCRIPTION = "description"
GCP_TRANSFER_JOB_NAME = f"transferJobs/sampleJob-{DAG_ID}-{ENV_ID}".replace("-", "_")
GCP_TRANSFER_JOB_2_NAME = f"transferJobs/sampleJob2-{DAG_ID}-{ENV_ID}".replace("-", "_")

# [START howto_operator_gcp_transfer_create_job_body_aws]
aws_to_gcs_transfer_body = {
    DESCRIPTION: GCP_DESCRIPTION,
    STATUS: GcpTransferJobsStatus.ENABLED,
    PROJECT_ID: GCP_PROJECT_ID,
    JOB_NAME: GCP_TRANSFER_JOB_NAME,
    SCHEDULE: {
        SCHEDULE_START_DATE: datetime(2015, 1, 1).date(),
        SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
        START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=1)).time(),
    },
    TRANSFER_SPEC: {
        AWS_S3_DATA_SOURCE: {BUCKET_NAME: BUCKET_SOURCE_AWS},
        GCS_DATA_SINK: {BUCKET_NAME: BUCKET_TARGET_GCS},
        TRANSFER_OPTIONS: {ALREADY_EXISTING_IN_SINK: True},
    },
}
# [END howto_operator_gcp_transfer_create_job_body_aws]

aws_to_gcs_transfer_body_2 = deepcopy(aws_to_gcs_transfer_body)
aws_to_gcs_transfer_body_2[JOB_NAME] = GCP_TRANSFER_JOB_2_NAME

with models.DAG(
    dag_id=DAG_ID,
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "aws", "gcs", "transfer"],
) as dag:
    create_bucket_s3 = S3CreateBucketOperator(
        task_id="create_bucket_s3", bucket_name=BUCKET_SOURCE_AWS, region_name="us-east-1"
    )

    upload_file_to_s3 = GCSToS3Operator(
        task_id="upload_file_to_s3",
        gcp_user_project=GCP_PROJECT_ID,
        bucket=EXAMPLE_BUCKET,
        prefix=EXAMPLE_FILE,
        dest_s3_key=f"s3://{BUCKET_SOURCE_AWS}",
        replace=True,
    )
    #
    create_bucket_gcs = GCSCreateBucketOperator(
        task_id="create_bucket_gcs",
        bucket_name=BUCKET_TARGET_GCS,
        project_id=GCP_PROJECT_ID,
    )

    # [START howto_operator_gcp_transfer_create_job]
    create_transfer_job_s3_to_gcs = CloudDataTransferServiceCreateJobOperator(
        task_id="create_transfer_job_s3_to_gcs", body=aws_to_gcs_transfer_body
    )
    # [END howto_operator_gcp_transfer_create_job]

    wait_for_operation_to_start = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_start",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.IN_PROGRESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )

    # [START howto_operator_gcp_transfer_pause_operation]
    pause_operation = CloudDataTransferServicePauseOperationOperator(
        task_id="pause_operation",
        operation_name="{{task_instance.xcom_pull('wait_for_operation_to_start', "
        "key='sensed_operations')[0]['name']}}",
    )
    # [END howto_operator_gcp_transfer_pause_operation]

    # [START howto_operator_gcp_transfer_list_operations]
    list_operations = CloudDataTransferServiceListOperationsOperator(
        task_id="list_operations",
        request_filter={
            FILTER_PROJECT_ID: GCP_PROJECT_ID,
            FILTER_JOB_NAMES: ["{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}"],
        },
    )
    # [END howto_operator_gcp_transfer_list_operations]

    # [START howto_operator_gcp_transfer_get_operation]
    get_operation = CloudDataTransferServiceGetOperationOperator(
        task_id="get_operation", operation_name="{{task_instance.xcom_pull('list_operations')[0]['name']}}"
    )
    # [END howto_operator_gcp_transfer_get_operation]

    # [START howto_operator_gcp_transfer_resume_operation]
    resume_operation = CloudDataTransferServiceResumeOperationOperator(
        task_id="resume_operation", operation_name="{{task_instance.xcom_pull('get_operation')['name']}}"
    )
    # [END howto_operator_gcp_transfer_resume_operation]

    # [START howto_operator_gcp_transfer_wait_operation]
    wait_for_operation_to_end = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_end",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.SUCCESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )
    # [END howto_operator_gcp_transfer_wait_operation]

    create_second_transfer_job_from_aws = CloudDataTransferServiceCreateJobOperator(
        task_id="create_transfer_job_s3_to_gcs_2", body=aws_to_gcs_transfer_body_2
    )

    wait_for_operation_to_start_2 = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_start_2",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.IN_PROGRESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )

    # [START howto_operator_gcp_transfer_cancel_operation]
    cancel_operation = CloudDataTransferServiceCancelOperationOperator(
        task_id="cancel_operation",
        operation_name="{{task_instance.xcom_pull("
        "'wait_for_operation_to_start_2', key='sensed_operations')[0]['name']}}",
    )
    # [END howto_operator_gcp_transfer_cancel_operation]

    # [START howto_operator_gcp_transfer_delete_job]
    delete_transfer_job_s3_to_gcs = CloudDataTransferServiceDeleteJobOperator(
        task_id="delete_transfer_job_s3_to_gcs",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        trigger_rule=TriggerRule.ALL_DONE,
    )
    # [END howto_operator_gcp_transfer_delete_job]

    delete_transfer_job_s3_to_gcs_2 = CloudDataTransferServiceDeleteJobOperator(
        task_id="delete_transfer_job_s3_to_gcs_2",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}",
        project_id=GCP_PROJECT_ID,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_bucket_s3 = S3DeleteBucketOperator(
        task_id="delete_bucket_s3",
        bucket_name=BUCKET_SOURCE_AWS,
        force_delete=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_bucket_gcs = GCSDeleteBucketOperator(
        task_id="delete_bucket_gcs",
        bucket_name=BUCKET_TARGET_GCS,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    (
        # TEST SETUP
        [create_bucket_s3 >> upload_file_to_s3, create_bucket_gcs]
        # TEST BODY
        >> create_transfer_job_s3_to_gcs
        >> wait_for_operation_to_start
        >> pause_operation
        >> list_operations
        >> get_operation
        >> resume_operation
        >> wait_for_operation_to_end
        >> create_second_transfer_job_from_aws
        >> wait_for_operation_to_start_2
        >> cancel_operation
        # TEST TEARDOWN
        >> [
            delete_transfer_job_s3_to_gcs,
            delete_transfer_job_s3_to_gcs_2,
            delete_bucket_gcs,
            delete_bucket_s3,
        ]
    )

    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)
test_run = get_test_run(dag)

d8934e0b295536b9f526a8aa5ed9c0f771825cd5
<mask token>

<mask token>
with models.DAG(dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=
    False, tags=['example', 'aws', 'gcs', 'transfer']) as dag:
    create_bucket_s3 = S3CreateBucketOperator(task_id='create_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, region_name='us-east-1')
    upload_file_to_s3 = GCSToS3Operator(task_id='upload_file_to_s3',
        gcp_user_project=GCP_PROJECT_ID, bucket=EXAMPLE_BUCKET, prefix=
        EXAMPLE_FILE, dest_s3_key=f's3://{BUCKET_SOURCE_AWS}', replace=True)
    create_bucket_gcs = GCSCreateBucketOperator(task_id='create_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, project_id=GCP_PROJECT_ID)
    create_transfer_job_s3_to_gcs = CloudDataTransferServiceCreateJobOperator(
        task_id='create_transfer_job_s3_to_gcs', body=aws_to_gcs_transfer_body)
    wait_for_operation_to_start = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    pause_operation = CloudDataTransferServicePauseOperationOperator(task_id
        ='pause_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start', key='sensed_operations')[0]['name']}}"
        )
    list_operations = CloudDataTransferServiceListOperationsOperator(task_id
        ='list_operations', request_filter={FILTER_PROJECT_ID:
        GCP_PROJECT_ID, FILTER_JOB_NAMES: [
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}"
        ]})
    get_operation = CloudDataTransferServiceGetOperationOperator(task_id=
        'get_operation', operation_name=
        "{{task_instance.xcom_pull('list_operations')[0]['name']}}")
    resume_operation = CloudDataTransferServiceResumeOperationOperator(task_id
        ='resume_operation', operation_name=
        "{{task_instance.xcom_pull('get_operation')['name']}}")
    wait_for_operation_to_end = CloudDataTransferServiceJobStatusSensor(task_id
        ='wait_for_operation_to_end', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.SUCCESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    create_second_transfer_job_from_aws = (
        CloudDataTransferServiceCreateJobOperator(task_id=
        'create_transfer_job_s3_to_gcs_2', body=aws_to_gcs_transfer_body_2))
    wait_for_operation_to_start_2 = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    cancel_operation = CloudDataTransferServiceCancelOperationOperator(task_id
        ='cancel_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start_2', key='sensed_operations')[0]['name']}}"
        )
    delete_transfer_job_s3_to_gcs = CloudDataTransferServiceDeleteJobOperator(
        task_id='delete_transfer_job_s3_to_gcs', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE)
    delete_transfer_job_s3_to_gcs_2 = (
        CloudDataTransferServiceDeleteJobOperator(task_id=
        'delete_transfer_job_s3_to_gcs_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE))
    delete_bucket_s3 = S3DeleteBucketOperator(task_id='delete_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, force_delete=True, trigger_rule=
        TriggerRule.ALL_DONE)
    delete_bucket_gcs = GCSDeleteBucketOperator(task_id='delete_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, trigger_rule=TriggerRule.ALL_DONE)
    [create_bucket_s3 >> upload_file_to_s3, create_bucket_gcs
        ] >> create_transfer_job_s3_to_gcs >> wait_for_operation_to_start >> pause_operation >> list_operations >> get_operation >> resume_operation >> wait_for_operation_to_end >> create_second_transfer_job_from_aws >> wait_for_operation_to_start_2 >> cancel_operation >> [
        delete_transfer_job_s3_to_gcs, delete_transfer_job_s3_to_gcs_2,
        delete_bucket_gcs, delete_bucket_s3]
    from tests.system.utils.watcher import watcher
    list(dag.tasks) >> watcher()
<mask token>

<mask token>
ENV_ID = os.environ.get('SYSTEM_TESTS_ENV_ID')
GCP_PROJECT_ID = os.environ.get('SYSTEM_TESTS_GCP_PROJECT')
DAG_ID = 'example_gcp_transfer_aws'
EXAMPLE_BUCKET = 'airflow-system-tests-resources'
EXAMPLE_FILE = 'storage-transfer/big_file.dat'
BUCKET_SOURCE_AWS = f'bucket-aws-{DAG_ID}-{ENV_ID}'.replace('_', '-')
BUCKET_TARGET_GCS = f'bucket-gcs-{DAG_ID}-{ENV_ID}'.replace('_', '-')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get(
    'WAIT_FOR_OPERATION_POKE_INTERVAL', 5))
GCP_DESCRIPTION = 'description'
GCP_TRANSFER_JOB_NAME = f'transferJobs/sampleJob-{DAG_ID}-{ENV_ID}'.replace('-'
    , '_')
GCP_TRANSFER_JOB_2_NAME = f'transferJobs/sampleJob2-{DAG_ID}-{ENV_ID}'.replace(
    '-', '_')
aws_to_gcs_transfer_body = {DESCRIPTION: GCP_DESCRIPTION, STATUS:
    GcpTransferJobsStatus.ENABLED, PROJECT_ID: GCP_PROJECT_ID, JOB_NAME:
    GCP_TRANSFER_JOB_NAME, SCHEDULE: {SCHEDULE_START_DATE: datetime(2015, 1,
    1).date(), SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
    START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=1)).time()},
    TRANSFER_SPEC: {AWS_S3_DATA_SOURCE: {BUCKET_NAME: BUCKET_SOURCE_AWS},
    GCS_DATA_SINK: {BUCKET_NAME: BUCKET_TARGET_GCS}, TRANSFER_OPTIONS: {
    ALREADY_EXISTING_IN_SINK: True}}}
aws_to_gcs_transfer_body_2 = deepcopy(aws_to_gcs_transfer_body)
aws_to_gcs_transfer_body_2[JOB_NAME] = GCP_TRANSFER_JOB_2_NAME
with models.DAG(dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=
    False, tags=['example', 'aws', 'gcs', 'transfer']) as dag:
    create_bucket_s3 = S3CreateBucketOperator(task_id='create_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, region_name='us-east-1')
    upload_file_to_s3 = GCSToS3Operator(task_id='upload_file_to_s3',
        gcp_user_project=GCP_PROJECT_ID, bucket=EXAMPLE_BUCKET, prefix=
        EXAMPLE_FILE, dest_s3_key=f's3://{BUCKET_SOURCE_AWS}', replace=True)
    create_bucket_gcs = GCSCreateBucketOperator(task_id='create_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, project_id=GCP_PROJECT_ID)
    create_transfer_job_s3_to_gcs = CloudDataTransferServiceCreateJobOperator(
        task_id='create_transfer_job_s3_to_gcs', body=aws_to_gcs_transfer_body)
    wait_for_operation_to_start = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    pause_operation = CloudDataTransferServicePauseOperationOperator(task_id
        ='pause_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start', key='sensed_operations')[0]['name']}}"
        )
    list_operations = CloudDataTransferServiceListOperationsOperator(task_id
        ='list_operations', request_filter={FILTER_PROJECT_ID:
        GCP_PROJECT_ID, FILTER_JOB_NAMES: [
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}"
        ]})
    get_operation = CloudDataTransferServiceGetOperationOperator(task_id=
        'get_operation', operation_name=
        "{{task_instance.xcom_pull('list_operations')[0]['name']}}")
    resume_operation = CloudDataTransferServiceResumeOperationOperator(task_id
        ='resume_operation', operation_name=
        "{{task_instance.xcom_pull('get_operation')['name']}}")
    wait_for_operation_to_end = CloudDataTransferServiceJobStatusSensor(task_id
        ='wait_for_operation_to_end', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.SUCCESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    create_second_transfer_job_from_aws = (
        CloudDataTransferServiceCreateJobOperator(task_id=
        'create_transfer_job_s3_to_gcs_2', body=aws_to_gcs_transfer_body_2))
    wait_for_operation_to_start_2 = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    cancel_operation = CloudDataTransferServiceCancelOperationOperator(task_id
        ='cancel_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start_2', key='sensed_operations')[0]['name']}}"
        )
    delete_transfer_job_s3_to_gcs = CloudDataTransferServiceDeleteJobOperator(
        task_id='delete_transfer_job_s3_to_gcs', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE)
    delete_transfer_job_s3_to_gcs_2 = (
        CloudDataTransferServiceDeleteJobOperator(task_id=
        'delete_transfer_job_s3_to_gcs_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE))
    delete_bucket_s3 = S3DeleteBucketOperator(task_id='delete_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, force_delete=True, trigger_rule=
        TriggerRule.ALL_DONE)
    delete_bucket_gcs = GCSDeleteBucketOperator(task_id='delete_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, trigger_rule=TriggerRule.ALL_DONE)
    [create_bucket_s3 >> upload_file_to_s3, create_bucket_gcs
        ] >> create_transfer_job_s3_to_gcs >> wait_for_operation_to_start >> pause_operation >> list_operations >> get_operation >> resume_operation >> wait_for_operation_to_end >> create_second_transfer_job_from_aws >> wait_for_operation_to_start_2 >> cancel_operation >> [
        delete_transfer_job_s3_to_gcs, delete_transfer_job_s3_to_gcs_2,
        delete_bucket_gcs, delete_bucket_s3]
    from tests.system.utils.watcher import watcher
    list(dag.tasks) >> watcher()
<mask token>
test_run = get_test_run(dag)

<mask token>
from __future__ import annotations
import os
from datetime import datetime, timedelta
from pydantic.main import deepcopy
from airflow import models
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.cloud_storage_transfer_service import ALREADY_EXISTING_IN_SINK, AWS_S3_DATA_SOURCE, BUCKET_NAME, DESCRIPTION, FILTER_JOB_NAMES, FILTER_PROJECT_ID, GCS_DATA_SINK, JOB_NAME, PROJECT_ID, SCHEDULE, SCHEDULE_END_DATE, SCHEDULE_START_DATE, START_TIME_OF_DAY, STATUS, TRANSFER_OPTIONS, TRANSFER_SPEC, GcpTransferJobsStatus, GcpTransferOperationStatus
from airflow.providers.google.cloud.operators.cloud_storage_transfer_service import CloudDataTransferServiceCancelOperationOperator, CloudDataTransferServiceCreateJobOperator, CloudDataTransferServiceDeleteJobOperator, CloudDataTransferServiceGetOperationOperator, CloudDataTransferServiceListOperationsOperator, CloudDataTransferServicePauseOperationOperator, CloudDataTransferServiceResumeOperationOperator
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.sensors.cloud_storage_transfer_service import CloudDataTransferServiceJobStatusSensor
from airflow.utils.trigger_rule import TriggerRule
ENV_ID = os.environ.get('SYSTEM_TESTS_ENV_ID')
GCP_PROJECT_ID = os.environ.get('SYSTEM_TESTS_GCP_PROJECT')
DAG_ID = 'example_gcp_transfer_aws'
EXAMPLE_BUCKET = 'airflow-system-tests-resources'
EXAMPLE_FILE = 'storage-transfer/big_file.dat'
BUCKET_SOURCE_AWS = f'bucket-aws-{DAG_ID}-{ENV_ID}'.replace('_', '-')
BUCKET_TARGET_GCS = f'bucket-gcs-{DAG_ID}-{ENV_ID}'.replace('_', '-')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get(
    'WAIT_FOR_OPERATION_POKE_INTERVAL', 5))
GCP_DESCRIPTION = 'description'
GCP_TRANSFER_JOB_NAME = f'transferJobs/sampleJob-{DAG_ID}-{ENV_ID}'.replace('-'
    , '_')
GCP_TRANSFER_JOB_2_NAME = f'transferJobs/sampleJob2-{DAG_ID}-{ENV_ID}'.replace(
    '-', '_')
aws_to_gcs_transfer_body = {DESCRIPTION: GCP_DESCRIPTION, STATUS:
    GcpTransferJobsStatus.ENABLED, PROJECT_ID: GCP_PROJECT_ID, JOB_NAME:
    GCP_TRANSFER_JOB_NAME, SCHEDULE: {SCHEDULE_START_DATE: datetime(2015, 1,
    1).date(), SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
    START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=1)).time()},
    TRANSFER_SPEC: {AWS_S3_DATA_SOURCE: {BUCKET_NAME: BUCKET_SOURCE_AWS},
    GCS_DATA_SINK: {BUCKET_NAME: BUCKET_TARGET_GCS}, TRANSFER_OPTIONS: {
    ALREADY_EXISTING_IN_SINK: True}}}
aws_to_gcs_transfer_body_2 = deepcopy(aws_to_gcs_transfer_body)
aws_to_gcs_transfer_body_2[JOB_NAME] = GCP_TRANSFER_JOB_2_NAME
with models.DAG(dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=
    False, tags=['example', 'aws', 'gcs', 'transfer']) as dag:
    create_bucket_s3 = S3CreateBucketOperator(task_id='create_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, region_name='us-east-1')
    upload_file_to_s3 = GCSToS3Operator(task_id='upload_file_to_s3',
        gcp_user_project=GCP_PROJECT_ID, bucket=EXAMPLE_BUCKET, prefix=
        EXAMPLE_FILE, dest_s3_key=f's3://{BUCKET_SOURCE_AWS}', replace=True)
    create_bucket_gcs = GCSCreateBucketOperator(task_id='create_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, project_id=GCP_PROJECT_ID)
    create_transfer_job_s3_to_gcs = CloudDataTransferServiceCreateJobOperator(
        task_id='create_transfer_job_s3_to_gcs', body=aws_to_gcs_transfer_body)
    wait_for_operation_to_start = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    pause_operation = CloudDataTransferServicePauseOperationOperator(task_id
        ='pause_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start', key='sensed_operations')[0]['name']}}"
        )
    list_operations = CloudDataTransferServiceListOperationsOperator(task_id
        ='list_operations', request_filter={FILTER_PROJECT_ID:
        GCP_PROJECT_ID, FILTER_JOB_NAMES: [
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}"
        ]})
    get_operation = CloudDataTransferServiceGetOperationOperator(task_id=
        'get_operation', operation_name=
        "{{task_instance.xcom_pull('list_operations')[0]['name']}}")
    resume_operation = CloudDataTransferServiceResumeOperationOperator(task_id
        ='resume_operation', operation_name=
        "{{task_instance.xcom_pull('get_operation')['name']}}")
    wait_for_operation_to_end = CloudDataTransferServiceJobStatusSensor(task_id
        ='wait_for_operation_to_end', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.SUCCESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    create_second_transfer_job_from_aws = (
        CloudDataTransferServiceCreateJobOperator(task_id=
        'create_transfer_job_s3_to_gcs_2', body=aws_to_gcs_transfer_body_2))
    wait_for_operation_to_start_2 = CloudDataTransferServiceJobStatusSensor(
        task_id='wait_for_operation_to_start_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, expected_statuses={
        GcpTransferOperationStatus.IN_PROGRESS}, poke_interval=
        WAIT_FOR_OPERATION_POKE_INTERVAL)
    cancel_operation = CloudDataTransferServiceCancelOperationOperator(task_id
        ='cancel_operation', operation_name=
        "{{task_instance.xcom_pull('wait_for_operation_to_start_2', key='sensed_operations')[0]['name']}}"
        )
    delete_transfer_job_s3_to_gcs = CloudDataTransferServiceDeleteJobOperator(
        task_id='delete_transfer_job_s3_to_gcs', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE)
    delete_transfer_job_s3_to_gcs_2 = (
        CloudDataTransferServiceDeleteJobOperator(task_id=
        'delete_transfer_job_s3_to_gcs_2', job_name=
        "{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}"
        , project_id=GCP_PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE))
    delete_bucket_s3 = S3DeleteBucketOperator(task_id='delete_bucket_s3',
        bucket_name=BUCKET_SOURCE_AWS, force_delete=True, trigger_rule=
        TriggerRule.ALL_DONE)
    delete_bucket_gcs = GCSDeleteBucketOperator(task_id='delete_bucket_gcs',
        bucket_name=BUCKET_TARGET_GCS, trigger_rule=TriggerRule.ALL_DONE)
    [create_bucket_s3 >> upload_file_to_s3, create_bucket_gcs
        ] >> create_transfer_job_s3_to_gcs >> wait_for_operation_to_start >> pause_operation >> list_operations >> get_operation >> resume_operation >> wait_for_operation_to_end >> create_second_transfer_job_from_aws >> wait_for_operation_to_start_2 >> cancel_operation >> [
        delete_transfer_job_s3_to_gcs, delete_transfer_job_s3_to_gcs_2,
        delete_bucket_gcs, delete_bucket_s3]
    from tests.system.utils.watcher import watcher
    list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run
test_run = get_test_run(dag)

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# 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
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG that demonstrates interactions with Google Cloud Transfer.
"""
from __future__ import annotations

import os
from datetime import datetime, timedelta

from pydantic.main import deepcopy

from airflow import models
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.cloud_storage_transfer_service import (
    ALREADY_EXISTING_IN_SINK,
    AWS_S3_DATA_SOURCE,
    BUCKET_NAME,
    DESCRIPTION,
    FILTER_JOB_NAMES,
    FILTER_PROJECT_ID,
    GCS_DATA_SINK,
    JOB_NAME,
    PROJECT_ID,
    SCHEDULE,
    SCHEDULE_END_DATE,
    SCHEDULE_START_DATE,
    START_TIME_OF_DAY,
    STATUS,
    TRANSFER_OPTIONS,
    TRANSFER_SPEC,
    GcpTransferJobsStatus,
    GcpTransferOperationStatus,
)
from airflow.providers.google.cloud.operators.cloud_storage_transfer_service import (
    CloudDataTransferServiceCancelOperationOperator,
    CloudDataTransferServiceCreateJobOperator,
    CloudDataTransferServiceDeleteJobOperator,
    CloudDataTransferServiceGetOperationOperator,
    CloudDataTransferServiceListOperationsOperator,
    CloudDataTransferServicePauseOperationOperator,
    CloudDataTransferServiceResumeOperationOperator,
)
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.sensors.cloud_storage_transfer_service import (
    CloudDataTransferServiceJobStatusSensor,
)
from airflow.utils.trigger_rule import TriggerRule

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")

DAG_ID = "example_gcp_transfer_aws"

EXAMPLE_BUCKET = "airflow-system-tests-resources"
EXAMPLE_FILE = "storage-transfer/big_file.dat"
BUCKET_SOURCE_AWS = f"bucket-aws-{DAG_ID}-{ENV_ID}".replace("_", "-")
BUCKET_TARGET_GCS = f"bucket-gcs-{DAG_ID}-{ENV_ID}".replace("_", "-")
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get("WAIT_FOR_OPERATION_POKE_INTERVAL", 5))

GCP_DESCRIPTION = "description"
GCP_TRANSFER_JOB_NAME = f"transferJobs/sampleJob-{DAG_ID}-{ENV_ID}".replace("-", "_")
GCP_TRANSFER_JOB_2_NAME = f"transferJobs/sampleJob2-{DAG_ID}-{ENV_ID}".replace("-", "_")

# [START howto_operator_gcp_transfer_create_job_body_aws]
aws_to_gcs_transfer_body = {
    DESCRIPTION: GCP_DESCRIPTION,
    STATUS: GcpTransferJobsStatus.ENABLED,
    PROJECT_ID: GCP_PROJECT_ID,
    JOB_NAME: GCP_TRANSFER_JOB_NAME,
    SCHEDULE: {
        SCHEDULE_START_DATE: datetime(2015, 1, 1).date(),
        SCHEDULE_END_DATE: datetime(2030, 1, 1).date(),
        START_TIME_OF_DAY: (datetime.utcnow() + timedelta(minutes=1)).time(),
    },
    TRANSFER_SPEC: {
        AWS_S3_DATA_SOURCE: {BUCKET_NAME: BUCKET_SOURCE_AWS},
        GCS_DATA_SINK: {BUCKET_NAME: BUCKET_TARGET_GCS},
        TRANSFER_OPTIONS: {ALREADY_EXISTING_IN_SINK: True},
    },
}
# [END howto_operator_gcp_transfer_create_job_body_aws]

aws_to_gcs_transfer_body_2 = deepcopy(aws_to_gcs_transfer_body)
aws_to_gcs_transfer_body_2[JOB_NAME] = GCP_TRANSFER_JOB_2_NAME

with models.DAG(
    dag_id=DAG_ID,
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "aws", "gcs", "transfer"],
) as dag:
    create_bucket_s3 = S3CreateBucketOperator(
        task_id="create_bucket_s3", bucket_name=BUCKET_SOURCE_AWS, region_name="us-east-1"
    )

    upload_file_to_s3 = GCSToS3Operator(
        task_id="upload_file_to_s3",
        gcp_user_project=GCP_PROJECT_ID,
        bucket=EXAMPLE_BUCKET,
        prefix=EXAMPLE_FILE,
        dest_s3_key=f"s3://{BUCKET_SOURCE_AWS}",
        replace=True,
    )
    #
    create_bucket_gcs = GCSCreateBucketOperator(
        task_id="create_bucket_gcs",
        bucket_name=BUCKET_TARGET_GCS,
        project_id=GCP_PROJECT_ID,
    )

    # [START howto_operator_gcp_transfer_create_job]
    create_transfer_job_s3_to_gcs = CloudDataTransferServiceCreateJobOperator(
        task_id="create_transfer_job_s3_to_gcs", body=aws_to_gcs_transfer_body
    )
    # [END howto_operator_gcp_transfer_create_job]

    wait_for_operation_to_start = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_start",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.IN_PROGRESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )

    # [START howto_operator_gcp_transfer_pause_operation]
    pause_operation = CloudDataTransferServicePauseOperationOperator(
        task_id="pause_operation",
        operation_name="{{task_instance.xcom_pull('wait_for_operation_to_start', "
        "key='sensed_operations')[0]['name']}}",
    )
    # [END howto_operator_gcp_transfer_pause_operation]

    # [START howto_operator_gcp_transfer_list_operations]
    list_operations = CloudDataTransferServiceListOperationsOperator(
        task_id="list_operations",
        request_filter={
            FILTER_PROJECT_ID: GCP_PROJECT_ID,
            FILTER_JOB_NAMES: ["{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}"],
        },
    )
    # [END howto_operator_gcp_transfer_list_operations]

    # [START howto_operator_gcp_transfer_get_operation]
    get_operation = CloudDataTransferServiceGetOperationOperator(
        task_id="get_operation", operation_name="{{task_instance.xcom_pull('list_operations')[0]['name']}}"
    )
    # [END howto_operator_gcp_transfer_get_operation]

    # [START howto_operator_gcp_transfer_resume_operation]
    resume_operation = CloudDataTransferServiceResumeOperationOperator(
        task_id="resume_operation", operation_name="{{task_instance.xcom_pull('get_operation')['name']}}"
    )
    # [END howto_operator_gcp_transfer_resume_operation]

    # [START howto_operator_gcp_transfer_wait_operation]
    wait_for_operation_to_end = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_end",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.SUCCESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )
    # [END howto_operator_gcp_transfer_wait_operation]

    create_second_transfer_job_from_aws = CloudDataTransferServiceCreateJobOperator(
        task_id="create_transfer_job_s3_to_gcs_2", body=aws_to_gcs_transfer_body_2
    )

    wait_for_operation_to_start_2 = CloudDataTransferServiceJobStatusSensor(
        task_id="wait_for_operation_to_start_2",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.IN_PROGRESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )

    # [START howto_operator_gcp_transfer_cancel_operation]
    cancel_operation = CloudDataTransferServiceCancelOperationOperator(
        task_id="cancel_operation",
        operation_name="{{task_instance.xcom_pull("
        "'wait_for_operation_to_start_2', key='sensed_operations')[0]['name']}}",
    )
    # [END howto_operator_gcp_transfer_cancel_operation]

    # [START howto_operator_gcp_transfer_delete_job]
    delete_transfer_job_s3_to_gcs = CloudDataTransferServiceDeleteJobOperator(
        task_id="delete_transfer_job_s3_to_gcs",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs')['name']}}",
        project_id=GCP_PROJECT_ID,
        trigger_rule=TriggerRule.ALL_DONE,
    )
    # [END howto_operator_gcp_transfer_delete_job]

    delete_transfer_job_s3_to_gcs_2 = CloudDataTransferServiceDeleteJobOperator(
        task_id="delete_transfer_job_s3_to_gcs_2",
        job_name="{{task_instance.xcom_pull('create_transfer_job_s3_to_gcs_2')['name']}}",
        project_id=GCP_PROJECT_ID,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_bucket_s3 = S3DeleteBucketOperator(
        task_id="delete_bucket_s3",
        bucket_name=BUCKET_SOURCE_AWS,
        force_delete=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_bucket_gcs = GCSDeleteBucketOperator(
        task_id="delete_bucket_gcs",
        bucket_name=BUCKET_TARGET_GCS,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    (
        # TEST SETUP
        [create_bucket_s3 >> upload_file_to_s3, create_bucket_gcs]
        # TEST BODY
        >> create_transfer_job_s3_to_gcs
        >> wait_for_operation_to_start
        >> pause_operation
        >> list_operations
        >> get_operation
        >> resume_operation
        >> wait_for_operation_to_end
        >> create_second_transfer_job_from_aws
        >> wait_for_operation_to_start_2
        >> cancel_operation
        # TEST TEARDOWN
        >> [
            delete_transfer_job_s3_to_gcs,
            delete_transfer_job_s3_to_gcs_2,
            delete_bucket_gcs,
            delete_bucket_s3,
        ]
    )

    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)
test_run = get_test_run(dag)
