CS320F23L23E1s.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f2c9d4a-9d3b-4268-9212-011681209323",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Code attribution: Yiyin Shen, Tyler Caraza-Harter\n",
    "# Imports\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.chrome.service import Service\n",
    "import matplotlib.pyplot as plt\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "57c51a62-ca1b-49f6-b04d-2187f797f814",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DONE\n"
     ]
    }
   ],
   "source": [
    "# Take a screenshot of the page\n",
    "service = Service(executable_path=\"chromedriver-win64/chromedriver.exe\")\n",
    "driver = webdriver.Chrome(service=service)\n",
    "\n",
    "def visit(url, file = None):\n",
    "    driver.get(url)\n",
    "    body = driver.find_element(\"tag name\", \"body\")\n",
    "    if file == None:\n",
    "        return body.text\n",
    "    else:\n",
    "        body.screenshot(file + \".png\")\n",
    "        plt.imshow(plt.imread(file + \".png\"))\n",
    "\n",
    "print(\"DONE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d6bde893-49c5-4f6d-8ee3-c63391908bfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visit and scrape the pages\n",
    "home = \"http://127.0.0.1:5000\"\n",
    "visit(home, \"plots.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d08c2de8-9786-4b2c-ae33-79cd96d9b50a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Column not specified.'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visit(home + \"/grades.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ede4ee7-95e5-42a6-9ae0-cd29b3d4ad62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"1\": \"0\", \"2\": \"0\", \"3\": \"0\"}'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visit(home + \"/grades.json?col=no\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "03362288-3bca-47dd-89ef-4f71bfa28591",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "389"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(json.loads(visit(home + \"/grades.json?col=Exam\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9a536e69-66a0-426b-9f50-a54d59c4214e",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.quit()"
   ]
  }
 ],
 "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}