cloud_build

Example Airflow DAG that displays interactions with Google Cloud Build.

DevOps


Providers:

Run this DAG

1. Install Astronomer CLISkip if you already have the CLI

2. Initate the project:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your requirements.txt file:

5. Run the 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 displays interactions with Google Cloud Build.
This DAG relies on the following OS environment variables:
* GCP_PROJECT_ID - Google Cloud Project to use for the Cloud Function.
* GCP_CLOUD_BUILD_ARCHIVE_URL - Path to the zipped source in Google Cloud Storage.
This object must be a gzipped archive file (.tar.gz) containing source to build.
* GCP_CLOUD_BUILD_REPOSITORY_NAME - Name of the Cloud Source Repository.
"""
import os
from pathlib import Path
from future.backports.urllib.parse import urlparse
from airflow import models
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.cloud_build import CloudBuildCreateBuildOperator
from airflow.utils import dates
GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
GCP_SOURCE_ARCHIVE_URL = os.environ.get("GCP_CLOUD_BUILD_ARCHIVE_URL", "gs://INVALID BUCKET NAME/file")
GCP_SOURCE_REPOSITORY_NAME = os.environ.get("GCP_CLOUD_BUILD_REPOSITORY_NAME", "repository-name")
GCP_SOURCE_ARCHIVE_URL_PARTS = urlparse(GCP_SOURCE_ARCHIVE_URL)
GCP_SOURCE_BUCKET_NAME = GCP_SOURCE_ARCHIVE_URL_PARTS.netloc
CURRENT_FOLDER = Path(__file__).parent
# [START howto_operator_gcp_create_build_from_storage_body]
create_build_from_storage_body = {
"source": {"storageSource": GCP_SOURCE_ARCHIVE_URL},
"steps": [
{
"name": "gcr.io/cloud-builders/docker",
"args": ["build", "-t", f"gcr.io/$PROJECT_ID/{GCP_SOURCE_BUCKET_NAME}", "."],
}
],
"images": [f"gcr.io/$PROJECT_ID/{GCP_SOURCE_BUCKET_NAME}"],
}
# [END howto_operator_gcp_create_build_from_storage_body]
# [START howto_operator_create_build_from_repo_body]
create_build_from_repo_body = {
"source": {"repoSource": {"repoName": GCP_SOURCE_REPOSITORY_NAME, "branchName": "main"}},
"steps": [
{
"name": "gcr.io/cloud-builders/docker",
"args": ["build", "-t", "gcr.io/$PROJECT_ID/$REPO_NAME", "."],
}
],
"images": ["gcr.io/$PROJECT_ID/$REPO_NAME"],
}
# [END howto_operator_create_build_from_repo_body]
with models.DAG(
"example_gcp_cloud_build",
default_args=dict(start_date=dates.days_ago(1)),
schedule_interval=None,
tags=['example'],
) as dag:
# [START howto_operator_create_build_from_storage]
create_build_from_storage = CloudBuildCreateBuildOperator(
task_id="create_build_from_storage", project_id=GCP_PROJECT_ID, body=create_build_from_storage_body
)
# [END howto_operator_create_build_from_storage]
# [START howto_operator_create_build_from_storage_result]
create_build_from_storage_result = BashOperator(
bash_command="echo '{{ task_instance.xcom_pull('create_build_from_storage')['images'][0] }}'",
task_id="create_build_from_storage_result",
)
# [END howto_operator_create_build_from_storage_result]
create_build_from_repo = CloudBuildCreateBuildOperator(
task_id="create_build_from_repo", project_id=GCP_PROJECT_ID, body=create_build_from_repo_body
)
create_build_from_repo_result = BashOperator(
bash_command="echo '{{ task_instance.xcom_pull('create_build_from_repo')['images'][0] }}'",
task_id="create_build_from_repo_result",
)
# [START howto_operator_gcp_create_build_from_yaml_body]
create_build_from_file = CloudBuildCreateBuildOperator(
task_id="create_build_from_file",
project_id=GCP_PROJECT_ID,
body=str(CURRENT_FOLDER.joinpath('example_cloud_build.yaml')),
params={'name': 'Airflow'},
)
# [END howto_operator_gcp_create_build_from_yaml_body]
create_build_from_storage >> create_build_from_storage_result # pylint: disable=pointless-statement
create_build_from_repo >> create_build_from_repo_result # pylint: disable=pointless-statement