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"""
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 future.backports.urllib.parse import urlparse
from airflow import models
from airflow.contrib.operators.gcp_cloud_build_operator import CloudBuildCreateBuildOperator
from airflow.operators.bash_operator import BashOperator
from airflow.utils import dates
# [START howto_operator_gcp_common_variables]
GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
# [END howto_operator_gcp_common_variables]
# [START howto_operator_gcp_create_build_variables]
GCP_SOURCE_ARCHIVE_URL = os.environ.get("GCP_CLOUD_BUILD_ARCHIVE_URL", "gs://example-bucket/file")
GCP_SOURCE_REPOSITORY_NAME = os.environ.get("GCP_CLOUD_BUILD_REPOSITORY_NAME", "")
# [END howto_operator_gcp_create_build_variables]
GCP_SOURCE_ARCHIVE_URL_PARTS = urlparse(GCP_SOURCE_ARCHIVE_URL)
GCP_SOURCE_BUCKET_NAME = GCP_SOURCE_ARCHIVE_URL_PARTS.netloc
# [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", "gcr.io/$PROJECT_ID/{}".format(GCP_SOURCE_BUCKET_NAME), "."],
}
],
"images": ["gcr.io/$PROJECT_ID/{}".format(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": "master"}},
"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
) 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",
)
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