source/aws_lambda/create_batch_inference_job/handler.py [53:85]:
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    "maxAge": {
        "source": "event",
        "path": "workflowConfig.maxAge",
        "default": "omit",
        "as": "seconds",
    },
    "timeStarted": {
        "source": "event",
        "path": "workflowConfig.timeStarted",
        "default": "omit",
        "as": "iso8601",
    },
}

logger = Logger()
tracer = Tracer()
metrics = Metrics()


@metrics.log_metrics
@tracer.capture_lambda_handler
@PersonalizeResource(
    resource=RESOURCE,
    status=STATUS,
    config=CONFIG,
)
def lambda_handler(event: Dict[str, Any], context: LambdaContext) -> Dict:
    """Create a batch inference job in Amazon Personalize based on the configuration in `event`
    :param event: AWS Lambda Event
    :param context: AWS Lambda Context
    :return: the configured batch inference job
    """
    return event.get("resource")  # return the batch inference job
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source/aws_lambda/create_batch_segment_job/handler.py [48:80]:
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    "maxAge": {
        "source": "event",
        "path": "workflowConfig.maxAge",
        "default": "omit",
        "as": "seconds",
    },
    "timeStarted": {
        "source": "event",
        "path": "workflowConfig.timeStarted",
        "default": "omit",
        "as": "iso8601",
    },
}

logger = Logger()
tracer = Tracer()
metrics = Metrics()


@metrics.log_metrics
@tracer.capture_lambda_handler
@PersonalizeResource(
    resource=RESOURCE,
    status=STATUS,
    config=CONFIG,
)
def lambda_handler(event: Dict[str, Any], context: LambdaContext) -> Dict:
    """Create a batch segment job in Amazon Personalize based on the configuration in `event`
    :param event: AWS Lambda Event
    :param context: AWS Lambda Context
    :return: the configured batch inference job
    """
    return event.get("resource")  # return the batch inference job
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