cs-340/AnimalShelterTest.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f9cc3d73",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the AnimalShelter class\n",
    "from AnimalShelter import AnimalShelter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fe96019a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configure the connection details\n",
    "username = 'aacuser'\n",
    "password = '1B@nana4U$'\n",
    "hostname = 'nv-desktop-services.apporto.com'\n",
    "port = 30909\n",
    "database = 'AAC'\n",
    "collection = 'animals'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5685f758",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create test data\n",
    "test_file= {\n",
    "    '':\"10001\",\n",
    "    'age_upon_outcome':\"2 weeks\", \n",
    "    'animal_id':\"TEST123\",\n",
    "    'animal_type': \"Dog\", \n",
    "    'breed':\"Hawaiian Labrador\", \n",
    "    'color':\"Black\",\n",
    "    'date_of_birth':\"2024-03-12\", \n",
    "    'monthyear': \"2024-03-26 21:18:00\", \n",
    "    'outcome_subtype':'Transfer',\n",
    "    'outcome_type':\"GOAT\", \n",
    "    'sex_upon_outcome':\"Intact Male\", \n",
    "    'location_long':\"-97.4033754809296\",\n",
    "    'location_lat':\"30.6664774192579\",\n",
    "    'age_upon_outcome_in_weeks':\"50 years\", \n",
    "    \"name\": \"Bark Obama\",\n",
    "    \"datetime\": \"2024-03-26 21:18:00\",\n",
    "    \"status\": \"Available\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5bd5672a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a sample query\n",
    "query = {\"breed\":\"Hawaiian Labrador\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e43f344a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initiate a failed connection to the MongoDB\n",
    "shelter = AnimalShelter(\"username\", \"password\", hostname, port, database, collection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4d770845",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Could not read animal: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}\n",
      "Check existing sample: []\n"
     ]
    }
   ],
   "source": [
    "# Check to see if the entry exists already \n",
    "# This assumes this hasn't already been run before.\n",
    "precheck = shelter.read(query)\n",
    "print(\"Check existing sample:\", precheck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "15b3d1bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initiate the connection to the MongoDB\n",
    "shelter = AnimalShelter(username, password, hostname, port, database, collection);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7f73158c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Check existing sample: []\n"
     ]
    }
   ],
   "source": [
    "# Check to see if the entry exists already \n",
    "# This assumes this hasn't already been run before.\n",
    "precheck = shelter.read(query)\n",
    "print(\"Check existing sample:\", precheck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "38e43a66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Animal added successfully\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add the animal to the database\n",
    "shelter.create(test_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bb4ebdd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Check post-add sample: [{'': '10001', 'age_upon_outcome': '2 weeks', 'animal_id': 'TEST123', 'animal_type': 'Dog', 'breed': 'Hawaiian Labrador', 'color': 'Black', 'date_of_birth': '2024-03-12', 'monthyear': '2024-03-26 21:18:00', 'outcome_subtype': 'Transfer', 'outcome_type': 'GOAT', 'sex_upon_outcome': 'Intact Male', 'location_long': '-97.4033754809296', 'location_lat': '30.6664774192579', 'age_upon_outcome_in_weeks': '50 years', 'name': 'Bark Obama', 'datetime': '2024-03-26 21:18:00', 'status': 'Available'}]\n"
     ]
    }
   ],
   "source": [
    "# Confirm the entry was added\n",
    "postcheck = shelter.read(query)\n",
    "print(\"Check post-add sample:\", postcheck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a822e964",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Animals updated: 1\n",
      "Updated items: 1\n"
     ]
    }
   ],
   "source": [
    "# Update the test animal to an Adopted status\n",
    "query = {\"animal_id\": \"TEST123\"}\n",
    "updates = {\"status\": \"Adopted\"}\n",
    "result = shelter.update(query, updates)\n",
    "print(f\"Updated items: {result}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5f5300c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result: [{'': '10001', 'age_upon_outcome': '2 weeks', 'animal_id': 'TEST123', 'animal_type': 'Dog', 'breed': 'Hawaiian Labrador', 'color': 'Black', 'date_of_birth': '2024-03-12', 'monthyear': '2024-03-26 21:18:00', 'outcome_subtype': 'Transfer', 'outcome_type': 'GOAT', 'sex_upon_outcome': 'Intact Male', 'location_long': '-97.4033754809296', 'location_lat': '30.6664774192579', 'age_upon_outcome_in_weeks': '50 years', 'name': 'Bark Obama', 'datetime': '2024-03-26 21:18:00', 'status': 'Adopted'}]\n"
     ]
    }
   ],
   "source": [
    "# Confirm the update took place\n",
    "check = shelter.read(query)\n",
    "print(f\"Result: {check}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "974092b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Animals deleted: 1\n",
      "Deleted result: 1\n"
     ]
    }
   ],
   "source": [
    "# Delete animals matching the query\n",
    "result = shelter.delete(query)\n",
    "print(f\"Deleted result: {result}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "aae82505",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Check for records:  []\n"
     ]
    }
   ],
   "source": [
    "# Check for the deleted animal\n",
    "check = shelter.read(query)\n",
    "print(\"Check for records: \", check)\n"
   ]
  }
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