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)

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