{
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   "cell_type": "code",
   "execution_count": 1,
   "id": "6205f0fb-db74-44d2-bfb1-98760790125c",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (3925509796.py, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  Cell \u001b[0;32mIn[1], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m    pip install boto3\u001b[0m\n\u001b[0m        ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "pip install boto3\n",
    "pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4afe577f-283e-431a-8109-56228af5f203",
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3\n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80ea967b-3787-4c5a-b90b-692782bb9460",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize a session using your credentials\n",
    "session = boto3.Session(\n",
    "    aws_access_key_id='AKIAZ3CL7RBT67UNF7CU',\n",
    "    aws_secret_access_key='1C1gUZflYJ0Q8voiI4Iv+DBBXeLv0w9PQjOZm8Kr',\n",
    "    region_name='us-west-2'  # e.g., us-east-1\n",
    ")\n",
    "\n",
    "# Create an S3 client using the session\n",
    "s3 = session.client('s3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b05018cb-03d4-4d47-9c60-149a8f73cf1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket_name = 'caetestbucket'\n",
    "\n",
    "try:\n",
    "    contents = s3.list_objects(Bucket=bucket_name)['Contents']\n",
    "    for item in contents:\n",
    "        print(item['Key'])\n",
    "except NoCredentialsError:\n",
    "    print(\"Credentials not available\")\n",
    "except KeyError:\n",
    "    print(\"Bucket is empty or does not exist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "028e3460-0485-4bfc-aa41-044276439838",
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3\n",
    "import json\n",
    "\n",
    "file_key = 'MOCK_VEHICLE.json'\n",
    "\n",
    "response = s3.get_object(Bucket=bucket_name, Key=file_key)\n",
    "# Assuming each line in the file is a separate JSON object\n",
    "vehicle_data_lines = response['Body'].read().decode('utf-8').splitlines()\n",
    "\n",
    "vehicle_data = []\n",
    "for line in vehicle_data_lines:\n",
    "    try:\n",
    "        vehicle = json.loads(line)\n",
    "        vehicle_data.append(vehicle)\n",
    "    except json.JSONDecodeError as e:\n",
    "        print(f\"Error decoding JSON: {e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e4c78c3-bd9d-417e-9b96-9046cce33df2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebc83569-2645-4f5d-a8c4-1192dd7aa72d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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