Source code for airflow.contrib.example_dags.example_gcp_function
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"""
Example Airflow DAG that displays interactions with Google Cloud Functions.
It creates a function and then deletes it.
This DAG relies on the following OS environment variables
https://airflow.apache.org/concepts.html#variables
* GCP_PROJECT_ID - Google Cloud Project to use for the Cloud Function.
* GCP_LOCATION - Google Cloud Functions region where the function should be
created.
* GCF_ENTRYPOINT - Name of the executable function in the source code.
* and one of the below:
* GCF_SOURCE_ARCHIVE_URL - Path to the zipped source in Google Cloud Storage
* GCF_SOURCE_UPLOAD_URL - Generated upload URL for the zipped source and GCF_ZIP_PATH - Local path to
the zipped source archive
* GCF_SOURCE_REPOSITORY - The URL pointing to the hosted repository where the function
is defined in a supported Cloud Source Repository URL format
https://cloud.google.com/functions/docs/reference/rest/v1/projects.locations.functions#SourceRepository
"""
import os
from airflow import models
from airflow.contrib.operators.gcp_function_operator \
import GcfFunctionDeployOperator, GcfFunctionDeleteOperator
from airflow.utils import dates
# [START howto_operator_gcf_common_variables]
GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_LOCATION = os.environ.get('GCP_LOCATION', 'europe-west1')
GCF_SHORT_FUNCTION_NAME = os.environ.get('GCF_SHORT_FUNCTION_NAME', 'hello').\
replace("-", "_") # make sure there are no dashes in function name (!)
FUNCTION_NAME = 'projects/{}/locations/{}/functions/{}'.format(GCP_PROJECT_ID,
GCP_LOCATION,
GCF_SHORT_FUNCTION_NAME)
# [END howto_operator_gcf_common_variables]
# [START howto_operator_gcf_deploy_variables]
GCF_SOURCE_ARCHIVE_URL = os.environ.get('GCF_SOURCE_ARCHIVE_URL', '')
GCF_SOURCE_UPLOAD_URL = os.environ.get('GCF_SOURCE_UPLOAD_URL', '')
GCF_SOURCE_REPOSITORY = os.environ.get(
'GCF_SOURCE_REPOSITORY',
'https://source.developers.google.com/'
'projects/{}/repos/hello-world/moveable-aliases/master'.format(GCP_PROJECT_ID))
GCF_ZIP_PATH = os.environ.get('GCF_ZIP_PATH', '')
GCF_ENTRYPOINT = os.environ.get('GCF_ENTRYPOINT', 'helloWorld')
GCF_RUNTIME = 'nodejs6'
GCP_VALIDATE_BODY = os.environ.get('GCP_VALIDATE_BODY', True)
# [END howto_operator_gcf_deploy_variables]
# [START howto_operator_gcf_deploy_body]
body = {
"name": FUNCTION_NAME,
"entryPoint": GCF_ENTRYPOINT,
"runtime": GCF_RUNTIME,
"httpsTrigger": {}
}
# [END howto_operator_gcf_deploy_body]
# [START howto_operator_gcf_default_args]
default_args = {
'start_date': dates.days_ago(1)
}
# [END howto_operator_gcf_default_args]
# [START howto_operator_gcf_deploy_variants]
if GCF_SOURCE_ARCHIVE_URL:
body['sourceArchiveUrl'] = GCF_SOURCE_ARCHIVE_URL
elif GCF_SOURCE_REPOSITORY:
body['sourceRepository'] = {
'url': GCF_SOURCE_REPOSITORY
}
elif GCF_ZIP_PATH:
body['sourceUploadUrl'] = ''
default_args['zip_path'] = GCF_ZIP_PATH
elif GCF_SOURCE_UPLOAD_URL:
body['sourceUploadUrl'] = GCF_SOURCE_UPLOAD_URL
else:
raise Exception("Please provide one of the source_code parameters")
# [END howto_operator_gcf_deploy_variants]
with models.DAG(
'example_gcp_function',
default_args=default_args,
schedule_interval=None # Override to match your needs
) as dag:
# [START howto_operator_gcf_deploy]
deploy_task = GcfFunctionDeployOperator(
task_id="gcf_deploy_task",
project_id=GCP_PROJECT_ID,
location=GCP_LOCATION,
body=body,
validate_body=GCP_VALIDATE_BODY
)
# [END howto_operator_gcf_deploy]
# [START howto_operator_gcf_deploy_no_project_id]
deploy2_task = GcfFunctionDeployOperator(
task_id="gcf_deploy2_task",
location=GCP_LOCATION,
body=body,
validate_body=GCP_VALIDATE_BODY
)
# [END howto_operator_gcf_deploy_no_project_id]
# [START howto_operator_gcf_delete]
delete_task = GcfFunctionDeleteOperator(
task_id="gcf_delete_task",
name=FUNCTION_NAME
)
# [END howto_operator_gcf_delete]
deploy_task >> deploy2_task >> delete_task