{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleanup\n",
    "\n",
    "After building completing the notebooks you may want to delete the following to prevent any unwanted charges:\n",
    "\n",
    "* Forecasts\n",
    "* Predictors\n",
    "* Datasets\n",
    "* Dataset Groups\n",
    "\n",
    "The code snippets below will cover the base use case of creating items in notebooks 1 - 3. You can expand upon this to delete content created in other notebooks.\n",
    "\n",
    "## Imports and Connections to AWS\n",
    "\n",
    "The following lines import all the necessary libraries and then connect you to Amazon Forecast.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import json\n",
    "import time\n",
    "\n",
    "import boto3\n",
    "import pandas as pd\n",
    "\n",
    "# importing forecast notebook utility from notebooks/common directory\n",
    "sys.path.insert( 0, os.path.abspath(\"../../common\") )\n",
    "import util"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The line below will retrieve your shared variables from the earlier notebooks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%store -r"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again connect to the Forecast APIs via the SDK."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'region' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/3314462151.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msession\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mboto3\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mregion_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mregion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mforecast\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mservice_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'forecast'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mforecastquery\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mservice_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'forecastquery'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'region' is not defined"
     ]
    }
   ],
   "source": [
    "session = boto3.Session(region_name=region) \n",
    "forecast = session.client(service_name='forecast') \n",
    "forecastquery = session.client(service_name='forecastquery')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining the Things to Cleanup\n",
    "\n",
    "In the previous notebooks you stored several variables at the end of each, now that they have been retrieved above, the cells below will delete the items that were created one at a time until all items that were created have been removed. For a parent resource, all its child resources can be deleted using `delete_resource_tree` and to learn more about it, visit [DeleteResourceTree](https://docs.aws.amazon.com/forecast/latest/dg/API_DeleteResourceTree.html) API. Bellow cell uses `delete_resource_tree` to delete the predictor resource and all its child resources such as Forecasts, PredictorBacktestExportJobs and ForecastExportJobs. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'forecast' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/914764499.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete predictor and all its child resources such as Forecasts, PredictorBacktestExportJobs and ForecastExportJobs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_resource_tree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mResourceArn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpredictor_arn_deep_ar\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Projects/amazon-forecast-samples/notebooks/common/util/fcst_utils.py\u001b[0m in \u001b[0;36mwait_till_delete\u001b[0;34m(callback, check_time, timeout)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m             \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mbotocore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m             \u001b[0;31m# When given the resource not found exception, deletion has occured\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/914764499.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete predictor and all its child resources such as Forecasts, PredictorBacktestExportJobs and ForecastExportJobs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_resource_tree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mResourceArn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpredictor_arn_deep_ar\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'forecast' is not defined"
     ]
    }
   ],
   "source": [
    "# Delete predictor and all its child resources such as Forecasts, PredictorBacktestExportJobs and ForecastExportJobs \n",
    "util.wait_till_delete(lambda: forecast.delete_resource_tree(ResourceArn = predictor_arn_deep_ar))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'forecast' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/3264829467.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete the target time series dataset import job\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset_import_job\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetImportJobArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mts_dataset_import_job_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Projects/amazon-forecast-samples/notebooks/common/util/fcst_utils.py\u001b[0m in \u001b[0;36mwait_till_delete\u001b[0;34m(callback, check_time, timeout)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m             \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mbotocore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m             \u001b[0;31m# When given the resource not found exception, deletion has occured\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/3264829467.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete the target time series dataset import job\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset_import_job\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetImportJobArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mts_dataset_import_job_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'forecast' is not defined"
     ]
    }
   ],
   "source": [
    "# Delete the target time series dataset import job\n",
    "util.wait_till_delete(lambda: forecast.delete_dataset_import_job(DatasetImportJobArn=ts_dataset_import_job_arn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'forecast' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/4058203600.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete the target time series dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mts_dataset_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Projects/amazon-forecast-samples/notebooks/common/util/fcst_utils.py\u001b[0m in \u001b[0;36mwait_till_delete\u001b[0;34m(callback, check_time, timeout)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m             \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mbotocore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m             \u001b[0;31m# When given the resource not found exception, deletion has occured\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/4058203600.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete the target time series dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mts_dataset_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'forecast' is not defined"
     ]
    }
   ],
   "source": [
    "# Delete the target time series dataset\n",
    "util.wait_till_delete(lambda: forecast.delete_dataset(DatasetArn=ts_dataset_arn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'forecast' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/1067136417.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete dataset group\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetGroupArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdataset_group_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Projects/amazon-forecast-samples/notebooks/common/util/fcst_utils.py\u001b[0m in \u001b[0;36mwait_till_delete\u001b[0;34m(callback, check_time, timeout)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m             \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mbotocore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m             \u001b[0;31m# When given the resource not found exception, deletion has occured\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/5t/dfg6gw691qb3myqf_gchv5xh0000gs/T/ipykernel_46264/1067136417.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Delete dataset group\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_till_delete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete_dataset_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDatasetGroupArn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdataset_group_arn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'forecast' is not defined"
     ]
    }
   ],
   "source": [
    "# Delete dataset group\n",
    "util.wait_till_delete(lambda: forecast.delete_dataset_group(DatasetGroupArn=dataset_group_arn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete your file in S3\n",
    "boto3.Session().resource('s3').Bucket(bucket_name).Object(key).delete()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IAM Role and Policy Cleanup\n",
    "\n",
    "The very last step in the notebooks is to remove the policies that were attached to a role and then to delete it. No changes should need to be made here, just execute the cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "util.delete_iam_role( role_arn )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All that remains to cleanup here is to now go back to the CloudFormation console and delete the stack. You have successfully removed all resources that were created."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}