Source code for tests.system.providers.google.cloud.cloud_functions.example_functions
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"""
Example Airflow DAG that displays interactions with Google Cloud Functions.
It creates a function and then deletes it.
"""
from __future__ import annotations
import os
from datetime import datetime
from typing import Any
from airflow import models
from airflow.models.baseoperator import chain
from airflow.providers.google.cloud.operators.functions import (
CloudFunctionDeleteFunctionOperator,
CloudFunctionDeployFunctionOperator,
CloudFunctionInvokeFunctionOperator,
)
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "example_gcp_function"
[docs]LOCATION = "europe-west1"
# make sure there are no dashes in function name (!)
[docs]SHORT_FUNCTION_NAME = "hello_world"
[docs]FUNCTION_NAME = f"projects/{PROJECT_ID}/locations/{LOCATION}/functions/{SHORT_FUNCTION_NAME}"
[docs]SOURCE_ARCHIVE_URL = "gs://airflow-system-tests-resources/cloud-functions/main_function.zip"
[docs]ENTRYPOINT = "hello_world"
[docs]repo = f"repo-{DAG_ID}-{ENV_ID}".replace("_", "-")
[docs]VALIDATE_BODY = True
# [START howto_operator_gcf_deploy_body]
[docs]body = {"name": FUNCTION_NAME, "entryPoint": ENTRYPOINT, "runtime": RUNTIME, "httpsTrigger": {}}
# [END howto_operator_gcf_deploy_body]
# [START howto_operator_gcf_default_args]
[docs]default_args: dict[str, Any] = {"retries": 3}
# [END howto_operator_gcf_default_args]
# [START howto_operator_gcf_deploy_variants]
if SOURCE_ARCHIVE_URL:
body["sourceArchiveUrl"] = SOURCE_ARCHIVE_URL
elif SOURCE_REPOSITORY:
body["sourceRepository"] = {"url": SOURCE_REPOSITORY}
elif ZIP_PATH:
body["sourceUploadUrl"] = ""
default_args["zip_path"] = ZIP_PATH
elif SOURCE_UPLOAD_URL:
body["sourceUploadUrl"] = SOURCE_UPLOAD_URL
else:
raise Exception("Please provide one of the source_code parameters")
# [END howto_operator_gcf_deploy_variants]
with models.DAG(
DAG_ID,
default_args=default_args,
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "gcp-functions"],
) as dag:
# [START howto_operator_gcf_deploy]
[docs] deploy_function = CloudFunctionDeployFunctionOperator(
task_id="deploy_function",
project_id=PROJECT_ID,
location=LOCATION,
body=body,
validate_body=VALIDATE_BODY,
)
# [END howto_operator_gcf_deploy]
# [START howto_operator_gcf_deploy_no_project_id]
deploy_function_no_project = CloudFunctionDeployFunctionOperator(
task_id="deploy_function_no_project", location=LOCATION, body=body, validate_body=VALIDATE_BODY
)
# [END howto_operator_gcf_deploy_no_project_id]
# [START howto_operator_gcf_invoke_function]
invoke_function = CloudFunctionInvokeFunctionOperator(
task_id="invoke_function",
project_id=PROJECT_ID,
location=LOCATION,
input_data={},
function_id=SHORT_FUNCTION_NAME,
)
# [END howto_operator_gcf_invoke_function]
# [START howto_operator_gcf_delete]
delete_function = CloudFunctionDeleteFunctionOperator(task_id="delete_function", name=FUNCTION_NAME)
# [END howto_operator_gcf_delete]
chain(
deploy_function,
deploy_function_no_project,
invoke_function,
delete_function,
)
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)
[docs]test_run = get_test_run(dag)