Day 36.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b36881ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>To check the above program's output, click on <a href=\"https://first-app-aman.herokuapp.com/github\" target=\"_blank\" rel=\"noopener noreferrer\">GitHub Authenticator Assignment On Heroku</a>.</p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    { 
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from flask import Flask, render_template, request, redirect, url_for\n",
    "from flask_dance.contrib.github import make_github_blueprint, github\n",
    "\n",
    "import os;\n",
    "#Use Before Starting The POST request\n",
    "#export OAUTHLIB_INSECURE_TRANSPORT=1\n",
    "#When doing from The Terminal Itself.\n",
    "os.environ[\"OAUTHLIB_INSECURE_TRANSPORT\"]= '1'\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    app = Flask(__name__)\n",
    "    app.config['SECRET_KEY'] = \"why is secret key even a thing\"\n",
    "else:\n",
    "    from model import app\n",
    "     \n",
    "github_blueprint = make_github_blueprint(client_id= '4e3dcb3a3ab315603b54', client_secret= '42f934578b962fff88db8d4cca21701496c40c51')\n",
    "\n",
    "app.register_blueprint(github_blueprint,url_prefix='/github/login')\n",
    "\n",
    "@app.route('/github')\n",
    "def github_login():\n",
    "    \n",
    "    if  not github.authorized:\n",
    "        return redirect(url_for('github.login'))\n",
    "    account_info = github.get('/user')\n",
    "    \n",
    "    if account_info.ok:\n",
    "        account_info_json = account_info.json()\n",
    "        return f\"<h1>Your GitHub Name: {account_info_json['login']} Is Logged In.</h1>\"\n",
    "        \n",
    "    return \"<h1> Request </h1>\"\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    app.run(port=9080)\n",
    "    #'debug= True' Does Not Work In Jupyter\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7879a8b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>To check the above program's output, click on <a href=\"https://first-app-aman.herokuapp.com/upload\" target=\"_blank\" rel=\"noopener noreferrer\">File Upload Assignment On Heroku</a>.</p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/jpeg": 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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from flask import Flask, render_template, request, redirect, url_for\n",
    "from werkzeug.utils import secure_filename\n",
    "import os\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    app = Flask(__name__)\n",
    "    app.config['SECRET_KEY']= \"random string to save myself from 'Secret Key' not found errors\"\n",
    "else:\n",
    "    from model import app\n",
    "    \n",
    "@app.route('/upload')#,methods=['GET','POST'])\n",
    "def upload_file():\n",
    "    return render_template(\"upload.html\")\n",
    "\n",
    "@app.route('/uploader',methods=['GET','POST'])\n",
    "def upload_file1():\n",
    "    if request.method == 'POST':\n",
    "        f = request.files['file']\n",
    "        #f.save(secure_filename(f.filename))\n",
    "        #Does Not Work On Heroku, Stuck At Loading\n",
    "        #import pdb;pdb.set_trace()\n",
    "        dir1 = os.getcwd()+'/static/'\n",
    "        if not os.path.exists(dir1):\n",
    "            os.mkdir(dir1)\n",
    "        len_dir = str(len(os.listdir(dir1)))\n",
    "        \n",
    "        name = dir1 + len_dir +f.filename\n",
    "        #if '.tiff' not in name and '.gif' not in name and '.jpeg' not in name and '.jpg' not in name and '.png' not in name:\n",
    "        #   name = name + '.jpg'\n",
    "        if '.tiff' in name or '.gif' in name or '.jpeg' in name or '.jpg' in name or '.png' in name:\n",
    "            pass\n",
    "        else:\n",
    "            name = name + '.jpg'\n",
    "        \n",
    "        try:\n",
    "            with open(name,'wb') as file:\n",
    "                #file.write(f.stream.read())\n",
    "                file.write(f.read())\n",
    "            ans = f\"<h1>File '{f.filename}' Uploaded Successfully.</h1>\\n<h3>Saved In The {dir1} Folder.</h3>\"\n",
    "        except Exception as e:\n",
    "            ans = f\"<h3>{e} Occurred While Creating {name}</h3>\"\n",
    "        return ans\n",
    "\t\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    #import pdb;pdb.set_trace()\n",
    "    app.run(port= 9090, debug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9336bb8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}