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AnimalShelterTest.ipynb
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292
AnimalShelterTest.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f9cc3d73",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Import the AnimalShelter class\n",
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"from AnimalShelter import AnimalShelter"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "fe96019a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Configure the connection details\n",
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"username = 'aacuser'\n",
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"password = '1B@nana4U$'\n",
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"hostname = 'nv-desktop-services.apporto.com'\n",
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"port = 30909\n",
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"database = 'AAC'\n",
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"collection = 'animals'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "5685f758",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create test data\n",
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"test_file= {\n",
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" '':\"10001\",\n",
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" 'age_upon_outcome':\"2 weeks\", \n",
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" 'animal_id':\"TEST123\",\n",
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" 'animal_type': \"Dog\", \n",
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" 'breed':\"Hawaiian Labrador\", \n",
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" 'color':\"Black\",\n",
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" 'date_of_birth':\"2024-03-12\", \n",
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" 'monthyear': \"2024-03-26 21:18:00\", \n",
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" 'outcome_subtype':'Transfer',\n",
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" 'outcome_type':\"GOAT\", \n",
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" 'sex_upon_outcome':\"Intact Male\", \n",
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" 'location_long':\"-97.4033754809296\",\n",
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" 'location_lat':\"30.6664774192579\",\n",
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" 'age_upon_outcome_in_weeks':\"50 years\", \n",
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" \"name\": \"Bark Obama\",\n",
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" \"datetime\": \"2024-03-26 21:18:00\",\n",
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" \"status\": \"Available\"\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "5bd5672a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create a sample query\n",
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"query = {\"breed\":\"Hawaiian Labrador\"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "e43f344a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Initiate a failed connection to the MongoDB\n",
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"shelter = AnimalShelter(\"username\", \"password\", hostname, port, database, collection)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "4d770845",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Could not read animal: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}\n",
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"Check existing sample: []\n"
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]
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}
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],
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"source": [
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"# Check to see if the entry exists already \n",
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"# This assumes this hasn't already been run before.\n",
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"precheck = shelter.read(query)\n",
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"print(\"Check existing sample:\", precheck)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "15b3d1bb",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Initiate the connection to the MongoDB\n",
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"shelter = AnimalShelter(username, password, hostname, port, database, collection);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "7f73158c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Check existing sample: []\n"
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]
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}
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],
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"source": [
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"# Check to see if the entry exists already \n",
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"# This assumes this hasn't already been run before.\n",
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"precheck = shelter.read(query)\n",
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"print(\"Check existing sample:\", precheck)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "38e43a66",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Animal added successfully\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Add the animal to the database\n",
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"shelter.create(test_file)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "bb4ebdd0",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"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"
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]
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}
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],
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"source": [
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"# Confirm the entry was added\n",
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"postcheck = shelter.read(query)\n",
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"print(\"Check post-add sample:\", postcheck)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "a822e964",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Animals updated: 1\n",
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"Updated items: 1\n"
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]
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}
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],
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"source": [
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"# Update the test animal to an Adopted status\n",
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"query = {\"animal_id\": \"TEST123\"}\n",
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"updates = {\"status\": \"Adopted\"}\n",
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"result = shelter.update(query, updates)\n",
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"print(f\"Updated items: {result}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "5f5300c2",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"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"
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]
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}
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],
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"source": [
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"# Confirm the update took place\n",
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"check = shelter.read(query)\n",
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"print(f\"Result: {check}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "974092b3",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Animals deleted: 1\n",
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"Deleted result: 1\n"
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]
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}
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],
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"source": [
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"# Delete animals matching the query\n",
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"result = shelter.delete(query)\n",
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"print(f\"Deleted result: {result}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "aae82505",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Check for records: []\n"
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]
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}
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],
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"source": [
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"# Check for the deleted animal\n",
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"check = shelter.read(query)\n",
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"print(\"Check for records: \", check)\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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