temp coding.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ProQuestResult import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = ProQuestResult('../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest.htm') # How to process an invidual file\n",
    "\n",
    "files = ProQuestResults(directory = ['../../datasets/proquest-results/alvora/', '../../datasets/proquest-results/82-club/'])\n",
    "files2 = ProQuestResults(directory = '../../datasets/proquest-results/alvora/')\n",
    "files3 = ProQuestResults(files = [\n",
    "    Path('../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest.htm'),\n",
    "    '../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest 02.htm'\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest.htm\n",
      "../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest 02.htm\n"
     ]
    }
   ],
   "source": [
    "# FILES TO QUERY\n",
    "\n",
    "# Accessible as a native Python dictionary of the structure {Path(file): 'search term'}:\n",
    "files2.files_to_query\n",
    "\n",
    "# You can use slicing by calling the Path object itself in the dictionary:\n",
    "file_to_test = Path('../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest.htm')\n",
    "files2.files_to_query[file_to_test]\n",
    "\n",
    "# Or you can loop through the dictionary by using the dictionary's inherent method `items`:\n",
    "for file, search_term in files2.files_to_query.items():\n",
    "    print(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[PosixPath('../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest.htm'), PosixPath('../../datasets/proquest-results/alvora/Search Results - Entertainment Industry Magazine Archive - ProQuest 02.htm')]\n"
     ]
    }
   ],
   "source": [
    "# QUERIES TO FILES\n",
    "\n",
    "# Accessible as a native Python dictionary of the structure {'search term': [list containing elements like Path(file)]}\n",
    "files2.query_to_files\n",
    "\n",
    "# You can use slicing to call for specific search terms:\n",
    "files2.query_to_files['Alvora']\n",
    "\n",
    "# Or you can loop through the dictionary by using the inherent method `items`:\n",
    "for search_term, list_of_files in files2.query_to_files.items():\n",
    "    print(list_of_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
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