{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get app key and secret [here](https://www.dropbox.com/developers/apps). Save them to a file called `dropbox.txt`."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with open(\"dropbox.txt\") as f:\n",
      "    app_key,app_secret = f.readlines()\n",
      "app_key,app_secret = app_key.strip(),app_secret.strip()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Following [this tutorial](https://www.dropbox.com/developers/core/start/python)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import dropbox"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "flow = dropbox.client.DropboxOAuth2FlowNoRedirect(app_key, app_secret)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "authorize_url = flow.start()\n",
      "print '1. Go to: ' + authorize_url\n",
      "print '2. Click \"Allow\" (you might have to log in first)'\n",
      "print '3. Copy the authorization code.'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1. Go to: https://www.dropbox.com/1/oauth2/authorize?response_type=code&client_id=hvgd9nm3q2o6pmr\n",
        "2. Click \"Allow\" (you might have to log in first)\n",
        "3. Copy the authorization code.\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "code = raw_input(\"Enter the authorization code here: \").strip()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Enter the authorization code here: 76ZCZZZQ_pYAAAAAAAAAAX1oMc2vEawMRylNvHIKpww\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "access_token, user_id = flow.finish(code)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "client = dropbox.client.DropboxClient(access_token)\n",
      "print 'linked account: ', client.account_info()['display_name']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "linked account:  "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "yoav ram\n"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fname = \"github-wolverine.jpg\"\n",
      "f, metadata = client.get_file_and_metadata('/' + fname)\n",
      "out = open(fname, 'wb')\n",
      "out.write(f.read())\n",
      "out.close()\n",
      "print metadata['size']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "93.4 KB\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image \n",
      "Image(filename=fname) "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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sjqW2yMFtZXdxq/BsoDi8zHNeND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       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
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     "prompt_number": 34
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 ]
}