sample notebook

gistfile1.txt

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use the API to create some test data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Local Docker\n",
    "auth_url = 'http://web:8000/api-token-auth/'\n",
    "participant_url = 'http://web:8000/participant/'\n",
    "submission_url = 'http://web:8000/submission/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# AWS (demo)\n",
    "auth_url = 'https://researchnet.ictedge.org/api-token-auth/'\n",
    "participant_url = 'https://researchnet.ictedge.org/participant/'\n",
    "submission_url = 'https://researchnet.ictedge.org/submission/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Local\n",
    "auth_url = 'http://127.0.0.1:8000/api-token-auth/'\n",
    "participant_url = 'http://127.0.0.1:8000/participant/'\n",
    "submission_url = 'http://127.0.0.1:8000/submission/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "payload = {'username': 'researcher', 'password':'******'}\n",
    "r = requests.post(auth_url, json=payload)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'**************************'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()['token']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make up some stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "first_names = ['Pat', 'Jessie', 'Same', 'Sue', 'Chris', 'Piper']\n",
    "last_names = ['Smith', 'Jones', 'Roberts', 'Walters', 'Thomas']\n",
    "gender_options = ['Male', 'Female']\n",
    "\n",
    "# lat/long\n",
    "fake_places = [\n",
    "     (\"40.5895466\", \"-105.0751243\"),\n",
    "     (\"41.5895466\", \"-104.0751243\"),\n",
    "     (\"39.7640021\",\"-105.1353041\"),\n",
    "     (\"38.7640021\",\"-104.1353041\"),\n",
    "     (\"39.7724466\",\"-105.9249464\"),\n",
    "     (\"35.7724466\",\"-103.9249464\"),\n",
    "     (\"39.1490189\",\"-107.1444289\"),\n",
    "     (\"38.1490189\",\"-106.1444289\"),\n",
    "     (\"36.0017455\",\"-79.0249976\"),\n",
    "     (\"37.0017455\",\"-80.0249976\"),\n",
    "     (\"35.9661857\",\"-79.1067084\"),\n",
    "     (\"34.9661857\",\"-78.1067084\"),\n",
    "     (\"35.8436867\",\"-78.7851426\"),\n",
    "     (\"34.8436867\",\"-75.7851426\"),\n",
    "     (\"45.5423508\",\"-122.7945071\"),\n",
    "     (\"44.5423508\",\"-121.7945071\")\n",
    "    ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from random import randrange\n",
    "from datetime import timedelta, datetime\n",
    "\n",
    "def random_date(start, end):\n",
    "    \"\"\"\n",
    "    This function will return a random datetime between two datetime \n",
    "    objects.\n",
    "    \"\"\"\n",
    "    delta = end - start\n",
    "    int_delta = (delta.days * 24 * 60 * 60) + delta.seconds\n",
    "    random_second = randrange(int_delta)\n",
    "    return start + timedelta(seconds=random_second)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "d1 = datetime.strptime('1/1/1967', '%m/%d/%Y')\n",
    "d2 = datetime.strptime('1/1/1987', '%m/%d/%Y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Enrollments\n",
    "The step step here is to generate some sample data.  Feel free to adjust this as needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for i in range(10):\n",
    "    random_birthday = random_date(d1, d2)\n",
    "    payload = {'username': 'testuser'+str(i), \n",
    "               'password':'testpassword', \n",
    "               'first_name': random.choice(first_names),\n",
    "               'last_name': random.choice(last_names),\n",
    "               'email': '[email protected]',\n",
    "               'dob': str(random_birthday.strftime('%Y-%m-%d')),\n",
    "               'gender': random.choice(gender_options),\n",
    "              }\n",
    "    \n",
    "    r = requests.post(participant_url, json=payload)\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Submissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Randomize test data (its more interesting this way)\n",
    "moods_category = ['good', 'bad', 'fine', 'unsure', 'no response', 'asleep']\n",
    "mood_scale = ['1','2','3','4','5','6','7','8','9','0']\n",
    "mood_image = ['1','2','3','4','5','6','7','8','9','0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "# loop through the same participants loaded earlier\n",
    "for i in range(10):\n",
    "    \n",
    "    # Get the token\n",
    "    auth_payload = {'username': 'testuser'+str(i), 'password':'testpassword'}\n",
    "    r_auth = requests.post(auth_url, json=auth_payload)\n",
    "    auth_token = r_auth.json()['token']\n",
    "    \n",
    "    for y in range(random.randrange(1, 10, 2)):\n",
    "        headers = {'Authorization': 'Token '+auth_token }\n",
    "        submission_payload = {'device_id': 'TEST-49D5-4CAD-AE42-E5CE922A3346', \n",
    "           'lat' : random.choice(fake_places)[0],\n",
    "           'long': random.choice(fake_places)[1],                \n",
    "           'response': { \n",
    "                'mood cateogry': random.choice(moods_category),\n",
    "                'mood scale': random.choice(mood_scale),\n",
    "                'mood image': random.choice(mood_image)\n",
    "            }\n",
    "        }\n",
    "     \n",
    "        r_sub = requests.post(submission_url, json=submission_payload, headers=headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"id\":82,\"user\":\"testuser9\",\"time_start\":\"2016-03-30T14:54:18.925491\",\"time_complete\":\"2016-03-30T14:54:18.925502\",\"timestamp\":\"2016-03-30T20:54:18.926070Z\",\"device_id\":\"TEST-49D5-4CAD-AE42-E5CE922A3346\",\"response\":{\"mood scale\":\"4\",\"mood image\":\"8\",\"mood cateogry\":\"fine\"},\"lat\":39.1490189,\"long\":-103.9249464}'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_sub.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Fort Collins'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "import geocoder\n",
    "g = geocoder.google([40.5895466, -105.0751243], method='reverse')\n",
    "g.city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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