{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2af41bc8-6b9e-4b4d-93de-12fb94a89c40",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " %load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "278b6957-bf12-4bdb-b529-f2b3e9c2e738",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, '/root/sagemaker_ml_insights_repo/notebooks/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7876b78a-f1a1-4ea8-bb5a-3b7f5abcfaf5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pyathena\n",
    "from pyathena.pandas.cursor import PandasCursor\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from fastprogress import progress_bar\n",
    "from tqdm.notebook import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a0e917e-b1a8-4394-a46c-4467d6deb331",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import mlsec.utils as mlsecutils\n",
    "from mlsec.tsat import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45c65faf-e342-4ae8-846a-dbd2ced4177d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "mlsecutils.set_pandas_colwidth(500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c224f81-39bb-4e35-9ef6-4a19e081a98a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "con = pyathena.connect(region_name='us-east-1',\n",
    "                       work_group='security_lake_insights',\n",
    "                      cursor_class=PandasCursor).cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8da4858-aecc-436f-a0cf-7d7a0d71d61a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "TABLE = 'amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ffd985f7-cc8b-46c4-b889-cd3e2d2cfdc9",
   "metadata": {},
   "source": [
    "## Query Security Hub Findings data in Security Lake using Athena Connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe2235a1-7091-467d-a8c1-33bc1dad3bb6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## Pull data and aggregate by Product|Finding and date\n",
    "## CONVENTION: ALWAYS HAVE \"timestamp\" and \"value\" (frequency) fields in the select statement\n",
    "\n",
    "sql = f\"\"\"\n",
    "select productname || ' | ' || types[1] as finding_type\n",
    "    ,timestamp\n",
    "    ,count(*) as value\n",
    "from\n",
    "(\n",
    "select metadata.product.feature.name as ProductName,\n",
    "finding.types as types,\n",
    "cast(from_unixtime(time/1000) as timestamp) as timestamp\n",
    "FROM {TABLE}\n",
    "WHERE eventDay > '20220101'\n",
    ") tmp\n",
    "group by 1, 2\n",
    "\"\"\"\n",
    "\n",
    "keys = ['finding_type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb5b29f7-6da4-4d90-95b7-293dfd0a4a2a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "results = con.execute(sql).as_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c44b6f9-250c-4f3b-b0aa-0f3b5c724c31",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " results.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a7cdcca-9ab4-4cf9-b4c4-2353723fecbd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "results.head(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "67020cb5-cc91-4fcb-8120-e7f654aa31b9",
   "metadata": {},
   "source": [
    "## Split results data into timeseries dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc99a1ef-34ee-4dc5-ac69-4855e74282f1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " def df_to_ts(df):\n",
    "    ts = pd.Series(df['value'])\n",
    "    ts.index = pd.to_datetime(df['timestamp'])\n",
    "    ts = ts.resample('D').sum().fillna(0)\n",
    "    return ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9611be6b-f41e-48af-b6d4-cef1f509d35e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " def split_sql_results_into_timeseries(sql_results, keys):\n",
    "    timeseries = []\n",
    "    for _, df in sql_results.groupby(keys, as_index=False):\n",
    "        ts = df_to_ts(df)\n",
    "        keyvals = {}\n",
    "        for key in keys:\n",
    "            keyvals[key] = df.iloc[0][key]\n",
    "        timeseries.append((keyvals, ts))\n",
    "#     timeseries = [({split_key: df.iloc[0][split_key]}, df_to_ts(df)) for _, df in results.groupby(keys, as_index=False)]\n",
    "    return timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57a068c7-4ba8-47cc-805b-8548c519c747",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " timeseries = split_sql_results_into_timeseries(results, keys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e33fec57-82e8-4068-bea2-c08ff3e427b3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " len(timeseries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6827165f-410c-4a05-bd69-dbe3af761f9a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "timeseries = [(key, ts) for key, ts in timeseries if len(ts) > 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "221109d9-e155-47f1-97a4-3e2efc0c62fe",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "len(timeseries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b06b1d4-e5ab-4b6f-a166-59da3e3be92e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " milo_tss = [MiloTimeseries(ts=ts, source_sql=sql, keyvals=keyvals) for keyvals,ts in timeseries]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a350268-8023-4d4b-8bf7-86d4532b0f95",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " milo_tss[0].keyvals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c23dc38f-a32f-4787-97dc-8d5f713d7ebc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " %store milo_tss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0b0b332-78af-4284-a9c9-70b49223060a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "print(\"source_sql\\n\", milo_tss[0].source_sql)\n",
    "print(\"_wheres\\n\", milo_tss[0]._wheres)\n",
    "print(\"_selects\\n\", milo_tss[0]._selects)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae3f4826-d783-4dc9-bea0-d28a8966c0cf",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for milo_ts in milo_tss:\n",
    "    milo_ts.plot()\n",
    "    plt.show()"
   ]
  }
 ],
 "metadata": {
  "availableInstances": [
   {
    "_defaultOrder": 0,
    "_isFastLaunch": true,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 4,
    "name": "ml.t3.medium",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 1,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.t3.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 2,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.t3.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 3,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.t3.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 4,
    "_isFastLaunch": true,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.m5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 5,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.m5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 6,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.m5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 7,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.m5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 8,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.m5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 9,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.m5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 10,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.m5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 11,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.m5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 12,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.m5d.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 13,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.m5d.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 14,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.m5d.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 15,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.m5d.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 16,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.m5d.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 17,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.m5d.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 18,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.m5d.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 19,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.m5d.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 20,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": true,
    "memoryGiB": 0,
    "name": "ml.geospatial.interactive",
    "supportedImageNames": [
     "sagemaker-geospatial-v1-0"
    ],
    "vcpuNum": 0
   },
   {
    "_defaultOrder": 21,
    "_isFastLaunch": true,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 4,
    "name": "ml.c5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 22,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.c5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 23,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.c5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 24,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.c5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 25,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 72,
    "name": "ml.c5.9xlarge",
    "vcpuNum": 36
   },
   {
    "_defaultOrder": 26,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 96,
    "name": "ml.c5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 27,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 144,
    "name": "ml.c5.18xlarge",
    "vcpuNum": 72
   },
   {
    "_defaultOrder": 28,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.c5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 29,
    "_isFastLaunch": true,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.g4dn.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 30,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.g4dn.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 31,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.g4dn.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 32,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.g4dn.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 33,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.g4dn.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 34,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.g4dn.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 35,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 61,
    "name": "ml.p3.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 36,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 244,
    "name": "ml.p3.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 37,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 488,
    "name": "ml.p3.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 38,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.p3dn.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 39,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.r5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 40,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.r5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 41,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.r5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 42,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.r5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 43,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.r5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 44,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.r5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 45,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 512,
    "name": "ml.r5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 46,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.r5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 47,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.g5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 48,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.g5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 49,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.g5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 50,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.g5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 51,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.g5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 52,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.g5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 53,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.g5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 54,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.g5.48xlarge",
    "vcpuNum": 192
   }
  ],
  "instance_type": "ml.t3.medium",
  "kernelspec": {
   "display_name": "Python 3 (Data Science)",
   "language": "python",
   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}