sofianhamiti

set -e

sudo -u ec2-user -i <<'EOP'
#####################################
## INSTALL THEIA IDE
#####################################
cd ${HOME}

git clone https://github.com/SofianHamiti/amazon-sagemaker-notebook-instance-lifecycle-config-theia.git lifecycle-config

sofianhamiti

library(randomForest)
library(MASS)

set.seed(42)

# Prepare dataset
cutoff = sample(1:nrow(Boston), nrow(Boston) * 0.7) # 70/30 split between test and train
train_set <- Boston[cutoff,]
test_set <- Boston[-cutoff,]

sofianhamiti

library(randomForest)
library(jsonlite)

# download model file from S3 into /tmp folder
system("aws s3 cp ${S3_MODEL_URI} /tmp/model.rds")

handler <- function(body, ...) {
  data <- fromJSON(txt = body)
  # load model
  model <- readRDS("/tmp/model.rds")

sofianhamiti

FROM public.ecr.aws/lambda/provided

ENV R_VERSION=4.0.3
ENV PATH="${PATH}:/opt/R/${R_VERSION}/bin/"

# install R
RUN yum -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm \
    && yum -y install https://cdn.rstudio.com/r/centos-7/pkgs/R-${R_VERSION}-1-1.x86_64.rpm \
    openssl-devel \
    libxml2-devel \

sofianhamiti

from aws_cdk import (
    aws_lambda,
    aws_iam,
    aws_apigatewayv2,
    core
)


class InferenceStack(core.Stack):
    def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:

sofianhamiti

{
    "crim": 0.0063,
    "zn": 18,
    "indus": 2.31,
    "chas": 0,
    "nox": 0.538,
    "rm": 6.575,
    "age": 65.2,
    "dis": 4.09,
    "rad": 1,

sofianhamiti

import json
import boto3
import logging
from botocore.config import Config

logger = logging.getLogger()
logger.setLevel(logging.INFO)

config = Config(retries = {'max_attempts': 10,'mode': 'standard'})
sagemaker = boto3.client('sagemaker', config=config)

sofianhamiti

AWSTemplateFormatVersion: 2010-09-09
Description: Deploys a scheduled Lambda function to shutdown Studio kernels automatically

Resources:
  #================================================================================
  # LAMBDA
  #================================================================================
  StudioShutdownFunction:
    Type: AWS::Lambda::Function
    Properties:

sofianhamiti

{
    "CRIM": 0.0063,
    "ZN": 18,
    "INDUS": 2.31,
    "CHAS": 0,
    "NOX": 0.538,
    "RM": 6.575,
    "AGE": 65.2,
    "DIS": 4.09,
    "RAD": 1,

sofianhamiti

from aws_cdk import core
from stacks.api_stack import ApiStack
from stacks.lambda_stack import LambdaStack
from stacks.state_machine_stack import StateMachineStack


class InferenceStack(core.Stack):
    def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)