boto3_test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "from io import StringIO\n",
    "import boto3\n",
    "from botocore.client import Config\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "credentials = open('s3_credentials.txt', 'r')\n",
    "ACCESS_SECRET = credentials.readlines()\n",
    "ACCESS_KEY = ACCESS_SECRET[1][20:-1]\n",
    "SECRET_KEY = ACCESS_SECRET[2][24:]\n",
    "credentials.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "BUCKET_NAME = 'nycdsa.ta-am'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "s3 = boto3.resource(\n",
    "    's3',\n",
    "    aws_access_key_id=ACCESS_KEY,\n",
    "    aws_secret_access_key=SECRET_KEY,\n",
    "    config=Config(signature_version='s3v4')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('artist_table_SeatGeek_9.7.18.csv')\n",
    "#sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_buffer = StringIO()\n",
    "data.to_csv(csv_buffer, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I did it bitch\n"
     ]
    }
   ],
   "source": [
    "s3.Bucket(BUCKET_NAME).put_object(Key='testing_if_direct_df_works.csv', Body=csv_buffer.getvalue())\n",
    "print('Uploaded')\n",
    "#load to s3 bucket\n",
    "#need to change Key using loop"
   ]
  }
 ],
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