{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from OnetWebService import OnetWebService\n",
    "import sys\n",
    "import json\n",
    "\n",
    "# read JSON input\n",
    "input = json.load(sys.stdin)\n",
    "\n",
    "# initialize Web Services and results objects\n",
    "onet_ws = OnetWebService(input['config']['username'], input['config']['password'])\n",
    "max_results = max(500, input['config']['max_results'])\n",
    "output = { 'output': [] }\n",
    "\n",
    "# call keyword search for each input query\n",
    "for q in input['queries']:\n",
    "    res = []\n",
    "    kwresults = onet_ws.call('online/search',\n",
    "                             ('keyword', q),\n",
    "                             ('end', max_results))\n",
    "    if ('occupation' in kwresults) and (0 < len(kwresults['occupation'])):\n",
    "        for occ in kwresults['occupation']:\n",
    "            res.append({ 'code': occ['code'], 'title': occ['title'] })\n",
    "            \n",
    "    output['output'].append({ 'query': q, 'results': res })\n",
    "\n",
    "json.dump(output, sys.stdout, indent=2, sort_keys=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from OnetWebService import OnetWebService\n",
    "import sys\n",
    "import json\n",
    "import pandas as pd\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.by import By\n",
    "import time\n",
    "import spacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read JSON input\n",
    "input = json.load(sys.stdin)\n",
    "#input = pd.read_csv(\"demo.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialize Web Services and results objects\n",
    "onet_ws = OnetWebService(input['config']['username'], input['config']['password'])\n",
    "max_results = max(500, input['config']['max_results'])\n",
    "output = { 'output': [] }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import json\n",
    "from selenium import webdriver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# URL for the occupation details\n",
    "url = \"https://www.onetonline.org/find/all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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