import datetime import json import os import platform from importlib.metadata import version import boto3 from pydantic import HttpUrl from aws_lambda_powertools import Logger, Metrics, Tracer from aws_lambda_powertools.event_handler import APIGatewayRestResolver from aws_lambda_powertools.utilities.data_masking import DataMasking from aws_lambda_powertools.utilities.parser import BaseModel, envelopes, event_parser from aws_lambda_powertools.utilities.typing import LambdaContext from aws_lambda_powertools.utilities.validation import validator logger = Logger(service="version-track") tracer = Tracer() # this checks for aws-xray-sdk presence metrics = Metrics(namespace="powertools-layer-canary", service="PowertoolsLayerCanary") data_masker = DataMasking() app = APIGatewayRestResolver() layer_arn = os.getenv("POWERTOOLS_LAYER_ARN") powertools_version = os.getenv("POWERTOOLS_VERSION") stage = os.getenv("LAYER_PIPELINE_STAGE") event_bus_arn = os.getenv("VERSION_TRACKING_EVENT_BUS_ARN") # Model to check parser imports correctly, tests for pydantic class OrderItem(BaseModel): order_id: int quantity: int description: str url: HttpUrl # Tests for jmespath presence @event_parser(model=OrderItem, envelope=envelopes.EventBridgeEnvelope) def envelope_handler(event: OrderItem, context: LambdaContext): assert event.order_id != 1 # Tests for fastjsonschema presence @validator(inbound_schema={}, envelope="detail") def validator_handler(event, context: LambdaContext): pass def handler(event): logger.info("Running checks") check_envs() verify_powertools_version() send_notification() return True @logger.inject_lambda_context(log_event=True) def on_event(event, context): request_type = event["RequestType"] # we handle only create events, because we recreate the canary on each run if request_type == "Create": return on_create(event) return "Nothing to be processed" def on_create(event): props = event["ResourceProperties"] logger.info("create new resource with properties %s" % props) handler(event) def check_envs(): logger.info('Checking required envs ["POWERTOOLS_LAYER_ARN", "AWS_REGION", "STAGE"]') if not layer_arn: raise ValueError("POWERTOOLS_LAYER_ARN is not set. Aborting...") if not powertools_version: raise ValueError("POWERTOOLS_VERSION is not set. Aborting...") if not stage: raise ValueError("LAYER_PIPELINE_STAGE is not set. Aborting...") if not event_bus_arn: raise ValueError("VERSION_TRACKING_EVENT_BUS_ARN is not set. Aborting...") logger.info("All envs configured, continue...") def verify_powertools_version() -> None: """ fetches the version that we import from the Powertools for AWS Lambda (Python) layer and compares it with expected version set in environment variable, which we pass during deployment. :raise ValueError if the expected version is not the same as the version we get from the layer """ logger.info("Checking Powertools for AWS Lambda (Python) version in library...") current_version = version("aws_lambda_powertools") if powertools_version != current_version: raise ValueError( f'Expected Powertools version is "{powertools_version}", but layer contains version "{current_version}"', ) logger.info(f"Current Powertools version is: {current_version} [{_get_architecture()}]") def send_notification(): """ sends an event to version tracking event bridge """ if stage != "PROD": logger.info("Not sending notification to event bus, because this is not the PROD stage") return event = { "Time": datetime.datetime.now(), "Source": "powertools.layer.canary", "EventBusName": event_bus_arn, "DetailType": "deployment", "Detail": json.dumps( { "version": powertools_version, "region": os.environ["AWS_REGION"], "layerArn": layer_arn, "architecture": _get_architecture(), }, ), } logger.info(f"sending notification event: {event}") client = boto3.client("events", region_name="eu-central-1") resp = client.put_events(Entries=[event]) logger.info(resp) if resp["FailedEntryCount"] != 0: logger.error(resp) raise ValueError("Failed to send deployment notification to version tracking") def _get_architecture() -> str: """Returns aarch64, x86_64""" return platform.uname()[4]