airflow example_cloud_storage_transfer_service_aws 源码

airflow example_cloud_storage_transfer_service_aws 代码

文件路径：/airflow/providers/google/cloud/example_dags/example_cloud_storage_transfer_service_aws.py

#
# 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. This DAG relies on
the following OS environment variables

Note that you need to provide a large enough set of data so that operations do not execute too quickly.
Otherwise, DAG will fail.

* GCP_PROJECT_ID - Google Cloud Project to use for the Google Cloud Transfer Service.
* GCP_DESCRIPTION - Description of transfer job
* GCP_TRANSFER_SOURCE_AWS_BUCKET - Amazon Web Services Storage bucket from which files are copied.
* GCP_TRANSFER_SECOND_TARGET_BUCKET - Google Cloud Storage bucket to which files are copied
* WAIT_FOR_OPERATION_POKE_INTERVAL - interval of what to check the status of the operation
  A smaller value than the default value accelerates the system test and ensures its correct execution with
  smaller quantities of files in the source bucket
  Look at documentation of :class:`~airflow.operators.sensors.BaseSensorOperator` for more information

"""
from __future__ import annotations

import os
from datetime import datetime, timedelta

from airflow import models
from airflow.models.baseoperator import chain
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.sensors.cloud_storage_transfer_service import (
    CloudDataTransferServiceJobStatusSensor,
)

GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_DESCRIPTION = os.environ.get('GCP_DESCRIPTION', 'description')
GCP_TRANSFER_TARGET_BUCKET = os.environ.get('GCP_TRANSFER_TARGET_BUCKET')
WAIT_FOR_OPERATION_POKE_INTERVAL = int(os.environ.get('WAIT_FOR_OPERATION_POKE_INTERVAL', 5))

GCP_TRANSFER_SOURCE_AWS_BUCKET = os.environ.get('GCP_TRANSFER_SOURCE_AWS_BUCKET')
GCP_TRANSFER_FIRST_TARGET_BUCKET = os.environ.get(
    'GCP_TRANSFER_FIRST_TARGET_BUCKET', 'gcp-transfer-first-target'
)

GCP_TRANSFER_JOB_NAME = os.environ.get('GCP_TRANSFER_JOB_NAME', 'transferJobs/sampleJob')

# [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=2)).time(),
    },
    TRANSFER_SPEC: {
        AWS_S3_DATA_SOURCE: {BUCKET_NAME: GCP_TRANSFER_SOURCE_AWS_BUCKET},
        GCS_DATA_SINK: {BUCKET_NAME: GCP_TRANSFER_FIRST_TARGET_BUCKET},
        TRANSFER_OPTIONS: {ALREADY_EXISTING_IN_SINK: True},
    },
}
# [END howto_operator_gcp_transfer_create_job_body_aws]


with models.DAG(
    'example_gcp_transfer_aws',
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=['example'],
) as dag:

    # [START howto_operator_gcp_transfer_create_job]
    create_transfer_job_from_aws = CloudDataTransferServiceCreateJobOperator(
        task_id="create_transfer_job_from_aws", 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_from_aws')['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_from_aws')['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_from_aws')['name']}}",
        project_id=GCP_PROJECT_ID,
        expected_statuses={GcpTransferOperationStatus.SUCCESS},
        poke_interval=WAIT_FOR_OPERATION_POKE_INTERVAL,
    )
    # [END howto_operator_gcp_transfer_wait_operation]

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

    # [START howto_operator_gcp_transfer_delete_job]
    delete_transfer_from_aws_job = CloudDataTransferServiceDeleteJobOperator(
        task_id="delete_transfer_from_aws_job",
        job_name="{{task_instance.xcom_pull('create_transfer_job_from_aws')['name']}}",
        project_id=GCP_PROJECT_ID,
    )
    # [END howto_operator_gcp_transfer_delete_job]

    chain(
        create_transfer_job_from_aws,
        wait_for_operation_to_start,
        pause_operation,
        list_operations,
        get_operation,
        resume_operation,
        wait_for_operation_to_end,
        cancel_operation,
        delete_transfer_from_aws_job,
    )

相关信息

airflow 源码目录

相关文章

airflow init 源码

airflow example_automl_nl_text_classification 源码

airflow example_automl_nl_text_sentiment 源码

airflow example_automl_tables 源码

airflow example_automl_translation 源码

airflow example_automl_video_intelligence_classification 源码

airflow example_automl_video_intelligence_tracking 源码

airflow example_automl_vision_object_detection 源码

airflow example_bigquery_dts 源码

airflow example_bigtable 源码