{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from webarchiv import WebarchivSession\n",
    "apikey = '2pm8i0hnmpcTK4Oj4CUeBoZd7vywrm4c'\n",
    "w = WebarchivSession(apikey)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Submit a fulltext search to get the number of captures returns ordered by period and domaina"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = w.histogram_search(\"situationselastisch\", 5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The search always returns the full response. Checking for status_code 200 before extracting the response is always a good idea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "if response.status_code != 200:\n",
    "    print(\"Something went wrong ...\")\n",
    "    exit(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now it is safe to extract the response"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the tophit of the domain with the largest number of hits which contains the words Nationalbliothek, Prunksaal and Schwarzenegger"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2009-01-01', '2010-01-01', '2011-01-01', '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01', '2016-01-01', '2017-01-01']\n",
      "[4, 4, 23, 28, 65, 859, 799, 77, 21]\n"
     ]
    }
   ],
   "source": [
    "x = [];\n",
    "y = [];\n",
    "for period in response.json()['hits']:\n",
    "    x.append(period['period'])\n",
    "    y.append(period['total'])\n",
    "    \n",
    "print(x)\n",
    "print(y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
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}