Source code for tests.system.providers.amazon.aws.example_lambda

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from __future__ import annotations

import json
import zipfile
from datetime import datetime
from io import BytesIO

import boto3

from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
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): with BytesIO() as zip_output: 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 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)

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