{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Module 6. 리소스 삭제\n",
    "\n",
    "모델을 구축한 후 캠페인(campaign), 솔루션(solution) 및 데이터셋(dataset)을 삭제할 수 있습니다. 다음 셀은 이 핸즈온에서 생성한 모든 리소스를 삭제합니다.\n",
    "\n",
    "## 라이브러리 임포트 및 AWS 연결 \n",
    "\n",
    "아래 코드 셀은 필요한 모든 라이브러리를 가져온 다음 Amazon Personalize에 연결합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import boto3\n",
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configure the SDK to Personalize:\n",
    "personalize = boto3.client('personalize')\n",
    "personalize_runtime = boto3.client('personalize-runtime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 정리할 항목 정의\n",
    "\n",
    "`store` 매직 커맨드를 사용하여 작업 정리에 필요한 모든 값들을 검색합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%store -r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the campaign:\n",
    "personalize.delete_campaign(campaignArn=hrnn_campaign_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_campaign(campaignArn=hrnn_coldstart_campaign_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_campaign(campaignArn=sims_campaign_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_campaign(campaignArn=ranking_campaign_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the solution\n",
    "personalize.delete_solution(solutionArn=hrnn_solution_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_solution(solutionArn=hrnn_coldstart_solution_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_solution(solutionArn=sims_solution_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_solution(solutionArn=ranking_solution_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the event tracker\n",
    "personalize.delete_event_tracker(eventTrackerArn=event_tracker_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the interaction dataset\n",
    "personalize.delete_dataset(datasetArn=interaction_dataset_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the item dataset\n",
    "personalize.delete_dataset(datasetArn=item_dataset_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the event dataset\n",
    "\n",
    "event_interactions_dataset_arn = dataset_group_arn\n",
    "event_interactions_dataset_arn = event_interactions_dataset_arn.replace(\":dataset-group\", \":dataset\")\n",
    "event_interactions_dataset_arn =event_interactions_dataset_arn +'/EVENT_INTERACTIONS'\n",
    "personalize.delete_dataset(datasetArn=event_interactions_dataset_arn)\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the schema\n",
    "personalize.delete_schema(schemaArn=interaction_schema_arn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "personalize.delete_schema(schemaArn=item_schema_arn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete the DatasetGroup\n",
    "personalize.delete_dataset_group(\n",
    "    datasetGroupArn=dataset_group_arn\n",
    ")\n",
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## S3 버킷 삭제\n",
    "\n",
    "첫 번째 노트북에서 업로드한 S3 버킷을 삭제합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!aws s3 rm s3://bucket/ --recursive \n",
    "#!aws s3 rb s3://bucket --force  \n",
    "#boto3.Session().resource('s3').Bucket(bucket).Object(filename).delete()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IAM 정책 삭제\n",
    "\n",
    "본 notebook의 마지막 단계는 역할에 연결된 정책들을 제거한 다음 역할을 삭제하는 것입니다. 아래 셀을 그대로 실행하시면 됩니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# IAM policies should also be removed\n",
    "iam = boto3.client(\"iam\")\n",
    "iam.detach_role_policy(PolicyArn=\"arn:aws:iam::aws:policy/AmazonS3FullAccess\", RoleName=role_name)\n",
    "iam.detach_role_policy(PolicyArn=\"arn:aws:iam::aws:policy/service-role/AmazonPersonalizeFullAccess\",RoleName=role_name)\n",
    "\n",
    "iam.delete_role(RoleName=role_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 마지막 단계\n",
    "\n",
    "모든 리소스를 정리한 후, 이제 이 창을 닫고 시작한 github 페이지로 돌아갈 수 있습니다. \n",
    "처음에 생성했던 CloudFormation까지 삭제하면 본 핸즈온랩에서 생성했던 리소스를 모두 삭제할 수 있습니다. (CloudFormation 사용시)\n",
    "\n",
    "수고하셨습니다."
   ]
  }
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