neograph_testing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a716ce8a-1d89-43de-a123-ae6e63db026f",
   "metadata": {},
   "source": [
    "# TOC\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e845e27-b1e4-4714-bff0-c84bcd24933b",
   "metadata": {},
   "source": [
    "# Import Neograph package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "942ef419-186d-4e13-8f9d-0ede1d9adf59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import neograph as ng"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "021fe330-e73c-43e2-99b8-72174d5277e9",
   "metadata": {},
   "source": [
    "# Create a NeoGraph and Connect to DBMS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fac3374d-a407-47a8-84fa-103d6d9c0237",
   "metadata": {},
   "outputs": [],
   "source": [
    "uri      = \"bolt://localhost:7687\" # in Neo4j Desktop\n",
    "                              # custom URL for Sandbox or Aura\n",
    "user     = \"neo4j\"            # your user name \n",
    "                              # default is always \"neo4j\" \n",
    "                              # unless you have changed it. \n",
    "password = 'usaa&ibm'   #your neo4j password\n",
    "\n",
    "G = ng.NeoGraph(uri = uri, user = user, password = password)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3a4f054-4c4c-4eed-b12c-a194418a1f60",
   "metadata": {},
   "source": [
    "# TESTING"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "678a5092-11bf-4f71-b7bf-e2d4d3ad1d22",
   "metadata": {},
   "source": [
    "## Reopening"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ede666cc-6865-4543-b399-a3ead4ecd52d",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'BoltDriver' object has no attribute 'uri'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Input \u001b[0;32mIn [9]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mG\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43muri\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muser\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Desktop/neograph/neograph/nx_to_neo.py:66\u001b[0m, in \u001b[0;36mNeoGraph.reopen\u001b[0;34m(self, uri, user, password)\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdriver \u001b[38;5;241m=\u001b[39m neo4j\u001b[38;5;241m.\u001b[39mGraphDatabase\u001b[38;5;241m.\u001b[39mdriver(uri\u001b[38;5;241m=\u001b[39muri, auth \u001b[38;5;241m=\u001b[39m (user, password))\n\u001b[1;32m     64\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     65\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou already have a neo4j driver running:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 66\u001b[0m           \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mURI: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdriver\u001b[38;5;241m.\u001b[39muri\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     67\u001b[0m           \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUser: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdriver\u001b[38;5;241m.\u001b[39muser\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     68\u001b[0m           \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIf you would like to start a new connection, first use G.close()\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'BoltDriver' object has no attribute 'uri'"
     ]
    }
   ],
   "source": [
    "G.reopen(uri, user, password)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05b14a8d-deee-44f5-af23-6f1d99a85ea5",
   "metadata": {},
   "source": [
    "## Contraints on DBMS (WORKING)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "096ccb36-359f-4d12-9880-329a69a1caea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Desired constraint on nodes for Person{name} already exists.\n",
      "\n",
      "Get constraint query result:\n",
      "[{'id': 4, 'name': 'Person_node_name_unique', 'type': 'UNIQUENESS', 'entityType': 'NODE', 'labelsOrTypes': ['Person'], 'properties': ['name'], 'ownedIndexId': 3}]\n"
     ]
    }
   ],
   "source": [
    "G.create_constraint(label = 'Person', prop = 'name', on='node', constraint_type = 'unique')\n",
    "G.get_constraints()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c0d9f72-2e80-451a-bda2-09729c8f0bb5",
   "metadata": {},
   "source": [
    "## Storage in DBMS (WORKING)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d66ba117-2a21-4e50-af7d-d5294711de37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G.add_node('James May', data = {'color': 'green', 'label': 'Person', 'favorite_food':'pizza', 'fav_ice_cream': 'mint chip'})\n",
    "G.add_node('Jeremy Clarkson', data = {'color' : 'green', 'label': 'Person', 'favorite_food':'Richard Hammond'})\n",
    "G.add_node('Toyota Camry', data = {'color': 'blue', 'label': 'Car', 'condition':'Like new'})\n",
    "G.add_edge('James May', 'Toyota Camry', label = 'hitBy')\n",
    "G.add_edge('Toyota Camry', 'Jeremy Clarkson', label = 'ownedBy', purchase_date = '11/01/2020', purchase_price = '$18000')\n",
    "\n",
    "ng.draw_labeled_net(G)\n",
    "\n",
    "#check that storage of above nodes functions correctly\n",
    "G.store_in_neo(verbose = False)\n",
    "\n",
    "#test: update James May to a new color, and make sure that property updating works as expected\n",
    "G.add_node('James May', data = {'color': 'purple', 'label': 'Person', 'favorite_food':'pizza', 'fav_ice_cream': 'mint chip'})\n",
    "G.store_in_neo(verbose = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4b91b834-34e0-4ada-a5dd-c61951277c27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'label': 'hitBy'}\n",
      "{'label': 'ownedBy', 'purchase_date': '11/01/2020', 'purchase_price': '$18000'}\n",
      "{'data': {'color': 'green', 'label': 'Person', 'favorite_food': 'pizza', 'fav_ice_cream': 'mint chip'}}\n",
      "{'data': {'color': 'green', 'label': 'Person', 'favorite_food': 'Richard Hammond'}}\n",
      "{'data': {'color': 'blue', 'label': 'Car', 'condition': 'Like new'}}\n"
     ]
    }
   ],
   "source": [
    "for edge in G.edges:\n",
    "    print(G.edges[edge])\n",
    "for node in G.nodes:\n",
    "    print(G.nodes[node])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65c5945c-6e1f-4279-9256-ab00274b10db",
   "metadata": {},
   "source": [
    "## Loading (NOT FINISHED, need to extract into networkx graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6046b4b9-7e00-471d-9349-8d6f718bee0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'n': {'favorite_food': 'pizza', 'color': 'green', 'fav_ice_cream': 'mint chip', 'created': 1665101110729, 'name': 'James May'}}, {'n': {'favorite_food': 'Richard Hammond', 'color': 'green', 'created': 1665101110765, 'name': 'Jeremy Clarkson'}}, {'n': {'condition': 'Like new', 'color': 'blue', 'created': 1665101110790, 'name': 'Toyota Camry'}}, {'n': {'condition': 'Like new', 'color': 'blue', 'created': 1665107304535, 'name': 'Honda Accord'}}, {'n': {'color': 'red', 'subtype': 'Claimant', 'created': 1665109260592, 'confidence': '0.999964', 'name': 'My', 'count': '6'}}, {'n': {'color': 'red', 'subtype': 'IncidentLocation', 'created': 1665109260708, 'confidence': '0.997111', 'name': 'parking lot', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'Number', 'created': 1665109260765, 'confidence': '0.989154', 'name': '#GYH98817', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'SUV', 'created': 1665109260823, 'confidence': '0.939176', 'name': 'Nationwide #RUH612912', 'count': '4'}}, {'n': {'color': 'red', 'subtype': 'ThirdParty', 'created': 1665109260879, 'confidence': '0.916797', 'name': 'Jessica Owens', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260900, 'confidence': '0.867708', 'name': 'passenger side door', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260955, 'confidence': '0.797304', 'name': 'her', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'Sedan', 'created': 1665109260962, 'confidence': '0.685519', 'name': '2019 Ford', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260972, 'confidence': '0.634804', 'name': '2022 Toyota Camry', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260988, 'confidence': '0.610561', 'name': 'someone', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260996, 'confidence': '0.42999', 'name': 'Geico policy', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'ThunderStorm', 'created': 1665109261052, 'confidence': '0.382135', 'name': 'passenger', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109261109, 'confidence': '0.377433', 'name': 'Explorer', 'count': '1'}}]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'n': {'favorite_food': 'pizza',\n",
       "   'color': 'green',\n",
       "   'fav_ice_cream': 'mint chip',\n",
       "   'created': 1665101110729,\n",
       "   'name': 'James May'}},\n",
       " {'n': {'favorite_food': 'Richard Hammond',\n",
       "   'color': 'green',\n",
       "   'created': 1665101110765,\n",
       "   'name': 'Jeremy Clarkson'}},\n",
       " {'n': {'condition': 'Like new',\n",
       "   'color': 'blue',\n",
       "   'created': 1665101110790,\n",
       "   'name': 'Toyota Camry'}},\n",
       " {'n': {'condition': 'Like new',\n",
       "   'color': 'blue',\n",
       "   'created': 1665107304535,\n",
       "   'name': 'Honda Accord'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Claimant',\n",
       "   'created': 1665109260592,\n",
       "   'confidence': '0.999964',\n",
       "   'name': 'My',\n",
       "   'count': '6'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'IncidentLocation',\n",
       "   'created': 1665109260708,\n",
       "   'confidence': '0.997111',\n",
       "   'name': 'parking lot',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Number',\n",
       "   'created': 1665109260765,\n",
       "   'confidence': '0.989154',\n",
       "   'name': '#GYH98817',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'SUV',\n",
       "   'created': 1665109260823,\n",
       "   'confidence': '0.939176',\n",
       "   'name': 'Nationwide #RUH612912',\n",
       "   'count': '4'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'ThirdParty',\n",
       "   'created': 1665109260879,\n",
       "   'confidence': '0.916797',\n",
       "   'name': 'Jessica Owens',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260900,\n",
       "   'confidence': '0.867708',\n",
       "   'name': 'passenger side door',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260955,\n",
       "   'confidence': '0.797304',\n",
       "   'name': 'her',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Sedan',\n",
       "   'created': 1665109260962,\n",
       "   'confidence': '0.685519',\n",
       "   'name': '2019 Ford',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260972,\n",
       "   'confidence': '0.634804',\n",
       "   'name': '2022 Toyota Camry',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260988,\n",
       "   'confidence': '0.610561',\n",
       "   'name': 'someone',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260996,\n",
       "   'confidence': '0.42999',\n",
       "   'name': 'Geico policy',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'ThunderStorm',\n",
       "   'created': 1665109261052,\n",
       "   'confidence': '0.382135',\n",
       "   'name': 'passenger',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109261109,\n",
       "   'confidence': '0.377433',\n",
       "   'name': 'Explorer',\n",
       "   'count': '1'}}]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.load_from_neo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74a42547-50e0-4884-b0f5-72bbde7c89a0",
   "metadata": {},
   "source": [
    "## Reading (WORKING)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cad08128-20e9-4651-883a-00d3babe10fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'n': {'favorite_food': 'pizza', 'color': 'green', 'fav_ice_cream': 'mint chip', 'created': 1665101110729, 'name': 'James May'}}, {'n': {'favorite_food': 'Richard Hammond', 'color': 'green', 'created': 1665101110765, 'name': 'Jeremy Clarkson'}}, {'n': {'condition': 'Like new', 'color': 'blue', 'created': 1665101110790, 'name': 'Toyota Camry'}}, {'n': {'condition': 'Like new', 'color': 'blue', 'created': 1665107304535, 'name': 'Honda Accord'}}, {'n': {'color': 'red', 'subtype': 'Claimant', 'created': 1665109260592, 'confidence': '0.999964', 'name': 'My', 'count': '6'}}, {'n': {'color': 'red', 'subtype': 'IncidentLocation', 'created': 1665109260708, 'confidence': '0.997111', 'name': 'parking lot', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'Number', 'created': 1665109260765, 'confidence': '0.989154', 'name': '#GYH98817', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'SUV', 'created': 1665109260823, 'confidence': '0.939176', 'name': 'Nationwide #RUH612912', 'count': '4'}}, {'n': {'color': 'red', 'subtype': 'ThirdParty', 'created': 1665109260879, 'confidence': '0.916797', 'name': 'Jessica Owens', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260900, 'confidence': '0.867708', 'name': 'passenger side door', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260955, 'confidence': '0.797304', 'name': 'her', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'Sedan', 'created': 1665109260962, 'confidence': '0.685519', 'name': '2019 Ford', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260972, 'confidence': '0.634804', 'name': '2022 Toyota Camry', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260988, 'confidence': '0.610561', 'name': 'someone', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109260996, 'confidence': '0.42999', 'name': 'Geico policy', 'count': '2'}}, {'n': {'color': 'red', 'subtype': 'ThunderStorm', 'created': 1665109261052, 'confidence': '0.382135', 'name': 'passenger', 'count': '1'}}, {'n': {'color': 'red', 'subtype': 'NONE', 'created': 1665109261109, 'confidence': '0.377433', 'name': 'Explorer', 'count': '1'}}]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'n': {'favorite_food': 'pizza',\n",
       "   'color': 'green',\n",
       "   'fav_ice_cream': 'mint chip',\n",
       "   'created': 1665101110729,\n",
       "   'name': 'James May'}},\n",
       " {'n': {'favorite_food': 'Richard Hammond',\n",
       "   'color': 'green',\n",
       "   'created': 1665101110765,\n",
       "   'name': 'Jeremy Clarkson'}},\n",
       " {'n': {'condition': 'Like new',\n",
       "   'color': 'blue',\n",
       "   'created': 1665101110790,\n",
       "   'name': 'Toyota Camry'}},\n",
       " {'n': {'condition': 'Like new',\n",
       "   'color': 'blue',\n",
       "   'created': 1665107304535,\n",
       "   'name': 'Honda Accord'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Claimant',\n",
       "   'created': 1665109260592,\n",
       "   'confidence': '0.999964',\n",
       "   'name': 'My',\n",
       "   'count': '6'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'IncidentLocation',\n",
       "   'created': 1665109260708,\n",
       "   'confidence': '0.997111',\n",
       "   'name': 'parking lot',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Number',\n",
       "   'created': 1665109260765,\n",
       "   'confidence': '0.989154',\n",
       "   'name': '#GYH98817',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'SUV',\n",
       "   'created': 1665109260823,\n",
       "   'confidence': '0.939176',\n",
       "   'name': 'Nationwide #RUH612912',\n",
       "   'count': '4'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'ThirdParty',\n",
       "   'created': 1665109260879,\n",
       "   'confidence': '0.916797',\n",
       "   'name': 'Jessica Owens',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260900,\n",
       "   'confidence': '0.867708',\n",
       "   'name': 'passenger side door',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260955,\n",
       "   'confidence': '0.797304',\n",
       "   'name': 'her',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'Sedan',\n",
       "   'created': 1665109260962,\n",
       "   'confidence': '0.685519',\n",
       "   'name': '2019 Ford',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260972,\n",
       "   'confidence': '0.634804',\n",
       "   'name': '2022 Toyota Camry',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260988,\n",
       "   'confidence': '0.610561',\n",
       "   'name': 'someone',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109260996,\n",
       "   'confidence': '0.42999',\n",
       "   'name': 'Geico policy',\n",
       "   'count': '2'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'ThunderStorm',\n",
       "   'created': 1665109261052,\n",
       "   'confidence': '0.382135',\n",
       "   'name': 'passenger',\n",
       "   'count': '1'}},\n",
       " {'n': {'color': 'red',\n",
       "   'subtype': 'NONE',\n",
       "   'created': 1665109261109,\n",
       "   'confidence': '0.377433',\n",
       "   'name': 'Explorer',\n",
       "   'count': '1'}}]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.read_from_neo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b08acf7-d075-45bf-a7f1-4a08d86a04c3",
   "metadata": {},
   "source": [
    "## Driver Open/Close (NOT WORKING AS INTENDED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2c7e96c-eb06-46cb-99c3-efa9ec7f631a",
   "metadata": {},
   "outputs": [],
   "source": [
    "G.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85a1ff11-0ce9-48c2-920c-ef69d571eb63",
   "metadata": {},
   "outputs": [],
   "source": [
    "G.add_node('Honda Accord', data = {'color': 'blue', 'label': 'Car', 'condition':'Like new'})\n",
    "G.store_in_neo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1095628a-af43-4107-9e4e-eb15eff0d51e",
   "metadata": {},
   "source": [
    "## UNIT TESTING: "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a517113-4e8b-41d2-833e-f3dc5ee9d0f4",
   "metadata": {},
   "source": [
    "### nx_to_neo.sanitize (WORKING)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "abad2cce-b5eb-407b-b29a-5e2c4fb79b96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "h ll2en\n",
      "  80 like \n"
     ]
    }
   ],
   "source": [
    "from neograph import nx_to_neo\n",
    "\n",
    "#check that sanitizing function is working as expected\n",
    "\n",
    "str1 = 'h ll;/2en'\n",
    "str2 = '  80; like /'\n",
    "str1, str2 = nx_to_neo.sanitize(str1, str2)\n",
    "print(str1)\n",
    "print(str2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3832b600-8c1a-4ed8-9c2e-17852e5c9fda",
   "metadata": {},
   "source": [
    "### Testing string to numeric functionality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb3d2ee0-21f9-4b19-912c-c6962ebba132",
   "metadata": {},
   "outputs": [],
   "source": [
    "def isfloat(x):\n",
    "    try:\n",
    "        a = float(x)\n",
    "    except (TypeError, ValueError):\n",
    "        return False\n",
    "    else:\n",
    "        return True\n",
    "\n",
    "def isint(x):\n",
    "    try:\n",
    "        a = float(x)\n",
    "        b = int(a)\n",
    "    except (TypeError, ValueError):\n",
    "        return False\n",
    "    else:\n",
    "        return a == b\n",
    "    \n",
    "isint('54')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13a9d656-9911-4b81-ae7f-a4a9ff80942a",
   "metadata": {},
   "outputs": [],
   "source": [
    "string = \"hello).\"\n",
    "string = str(string)\n",
    "string.replace('.','')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7e29f659-f7d4-4e0e-93dc-c1cfc71983b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "color\n",
      "gray\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "', (\\'color\\',):\"(\\'gray\\',)\"'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import neograph as ng\n",
    "from neograph.nx_to_neo import sanitize\n",
    "\n",
    "d = {'color': 'gray'}\n",
    "unpacked_props = \"\"\n",
    "for key, value in d.items():\n",
    "    print(key)\n",
    "    print(value)\n",
    "    if isinstance(value, str):\n",
    "        unpacked_props += f\", {sanitize(str(key))}:\\\"{sanitize(value)}\\\"\"\n",
    "    else:\n",
    "        unpacked_props += f\", {sanitize(str(key))}:\\\"{value}\\\"\"\n",
    "\n",
    "unpacked_props\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b54618fb-a9cb-4f3e-9fea-3c3c8d0f6de8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('blue.',)\n",
      "('blue.', 'red')\n"
     ]
    }
   ],
   "source": [
    "s = 'blue.'\n",
    "s2 = 'red;;'\n",
    "print(sanitize('blue.'))\n",
    "print(sanitize(s, s2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e0819a4d-0019-4805-8875-a35ba009073f",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = sanitize(s, s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "094ca053-15dd-4436-a9d3-cda4ea79aef7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('blue.', 'red')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68f80273-2f22-4c62-af28-dc37b13f0114",
   "metadata": {},
   "outputs": [],
   "source": []
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