{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7652d8ea-a8fc-4e22-9ff2-58bc678c3cf6",
   "metadata": {},
   "source": [
    "# S3 User Storage Access"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "440de59e-eb07-41b8-a3a2-aa6c2d6157ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import boto3\n",
    "import s3fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1407edd6-6e65-414f-ac42-4fcbe85a8228",
   "metadata": {},
   "outputs": [],
   "source": [
    "# start an s3 session with boto3\n",
    "s3 = boto3.client('s3')\n",
    "\n",
    "bucket_name = \"bioscape-smce-user-bucket\"\n",
    "sub_dir_name = \"edlang\"\n",
    "object_name = \"example_write.txt\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "387a1bad-c738-4310-b58e-fdfd156d4e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "# creates a dummy file\n",
    "with open(object_name, 'w') as f:\n",
    "    f.write(\"Hello World!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d42f9bef-dfd8-43b9-9550-e27cbdb809cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File uploaded successfully to s3://bioscape-smce-user-bucket/example_write.txt\n"
     ]
    }
   ],
   "source": [
    "# upload the file with boto3\n",
    "try:\n",
    "    response = s3.upload_file(\"example_write.txt\", bucket_name, os.path.join(sub_dir_name, object_name))\n",
    "    print(f\"File uploaded successfully to s3://{bucket_name}/{object_name}\")\n",
    "except Exception as e:\n",
    "    print(f\"Error uploading file: {e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e34d740c-b09c-4352-8541-7ab6e2f81970",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Contents of the file:\n",
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "# read the file with boto3\n",
    "try:\n",
    "    response = s3.get_object(Bucket=bucket_name, Key=os.path.join(sub_dir_name, object_name))\n",
    "    content = response['Body'].read().decode('utf-8')\n",
    "    print(content)\n",
    "except Exception as e:\n",
    "    print(f\"Error reading file from S3: {e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "60750b4a-f444-4910-bc5b-a0696a919676",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "# read the file with s3fs\n",
    "s3 = s3fs.S3FileSystem(anon=False)\n",
    "\n",
    "# Read the file from S3\n",
    "with s3.open(os.path.join(bucket_name, sub_dir_name, object_name), 'r') as f:\n",
    "    content = f.read()\n",
    "print(content)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "edlang-edlang-upload",
   "language": "python",
   "name": "conda-env-edlang-edlang-upload-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}