Source code for tests.system.providers.amazon.aws.example_lambda
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from __future__ import annotations
import io
import json
import zipfile
from datetime import datetime
import boto3
from airflow import models
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.lambda_function import (
LambdaCreateFunctionOperator,
LambdaInvokeFunctionOperator,
)
from airflow.providers.amazon.aws.sensors.lambda_function import LambdaFunctionStateSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder, prune_logs
[docs]DAG_ID = "example_lambda"
# Externally fetched variables:
[docs]ROLE_ARN_KEY = "ROLE_ARN"
[docs]sys_test_context_task = SystemTestContextBuilder().add_variable(ROLE_ARN_KEY).build()
[docs]CODE_CONTENT = """
def test(*args):
print('Hello')
"""
# Create a zip file containing one file "lambda_function.py" to deploy to the lambda function
[docs]def create_zip(content: str):
zip_output = io.BytesIO()
with zipfile.ZipFile(zip_output, "w", zipfile.ZIP_DEFLATED) as zip_file:
info = zipfile.ZipInfo("lambda_function.py")
info.external_attr = 0o777 << 16
zip_file.writestr(info, content)
zip_output.seek(0)
return zip_output.read()
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_lambda(function_name: str):
client = boto3.client("lambda")
client.delete_function(
FunctionName=function_name,
)
with models.DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
tags=["example"],
catchup=False,
) as dag:
[docs] test_context = sys_test_context_task()
lambda_function_name: str = f"{test_context[ENV_ID_KEY]}-function"
role_arn = test_context[ROLE_ARN_KEY]
# [START howto_operator_create_lambda_function]
create_lambda_function = LambdaCreateFunctionOperator(
task_id="create_lambda_function",
function_name=lambda_function_name,
runtime="python3.9",
role=role_arn,
handler="lambda_function.test",
code={
"ZipFile": create_zip(CODE_CONTENT),
},
)
# [END howto_operator_create_lambda_function]
# [START howto_sensor_lambda_function_state]
wait_lambda_function_state = LambdaFunctionStateSensor(
task_id="wait_lambda_function_state",
function_name=lambda_function_name,
)
# [END howto_sensor_lambda_function_state]
wait_lambda_function_state.poke_interval = 1
# [START howto_operator_invoke_lambda_function]
invoke_lambda_function = LambdaInvokeFunctionOperator(
task_id="invoke_lambda_function",
function_name=lambda_function_name,
payload=json.dumps({"SampleEvent": {"SampleData": {"Name": "XYZ", "DoB": "1993-01-01"}}}),
)
# [END howto_operator_invoke_lambda_function]
log_cleanup = prune_logs(
[
# Format: ('log group name', 'log stream prefix')
(f"/aws/lambda/{lambda_function_name}", None),
],
force_delete=True,
retry=True,
)
chain(
# TEST SETUP
test_context,
# TEST BODY
create_lambda_function,
wait_lambda_function_state,
invoke_lambda_function,
# TEST TEARDOWN
delete_lambda(lambda_function_name),
log_cleanup,
)
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)