InventoryHub Full-Stack Project Submission

This submission includes all code snippets, JSON examples, and reflective summaries from the InventoryHub project using Microsoft Copilot.

Front-End & Back-End Integration Code

Example: Fetching inventory data from the API:

// JavaScript - Front-end fetch
async function getInventory() {
  try {
    const response = await fetch('/api/inventory');
    const data = await response.json();
    displayInventory(data);
  } catch (error) {
    console.error('Error fetching inventory:', error);
  }
}

// Copilot assisted in generating this fetch and error handling logic
      

Reflective Summary: Copilot suggested the fetch structure, error handling, and parsing JSON, saving time and avoiding common async mistakes.

Back-End API Code

# Python Flask example
from flask import Flask, jsonify, request

app = Flask(__name__)

inventory = [
    {"id": 1, "name": "Laptop", "quantity": 10},
    {"id": 2, "name": "Mouse", "quantity": 50},
]

@app.route('/api/inventory', methods=['GET'])
def get_inventory():
    return jsonify(inventory)

@app.route('/api/inventory', methods=['POST'])
def add_item():
    item = request.get_json()
    inventory.append(item)
    return jsonify(item), 201

# Copilot helped by generating CRUD routes and JSON handling
      

Reflective Summary: Copilot suggested RESTful route structure and proper JSON serialization, ensuring consistent API responses.

Sample JSON Response

{
  "inventory": [
    { "id": 1, "name": "Laptop", "quantity": 10 },
    { "id": 2, "name": "Mouse", "quantity": 50 }
  ]
}
      

Reflective Summary: Copilot suggested proper JSON formatting and structure for easy consumption by the front-end components.

Debugging & Performance Optimization

// Optimization example: Debouncing API calls on search input
let debounceTimeout;
function searchInventory(query) {
  clearTimeout(debounceTimeout);
  debounceTimeout = setTimeout(async () => {
    const response = await fetch(`/api/inventory?search=${query}`);
    const data = await response.json();
    displayInventory(data);
  }, 300);
}

// Copilot suggested debounce pattern to reduce API load
      

Reflective Summary: Copilot recommended performance improvements, such as debouncing, to minimize unnecessary API calls and optimize user experience.

Middleware Example

# Logging middleware in Flask
@app.before_request
def log_request():
    print(f"Request made to: {request.path}")

# Copilot helped generate middleware template for logging requests
      

Reflective Summary: Copilot suggested hooks and logging placement, ensuring we capture all incoming requests efficiently.

Conclusion

This HTML file consolidates all parts of the InventoryHub project. Copilot assisted in generating integration code, debugging, JSON structuring, middleware, and performance optimizations. Using these suggestions, the project was completed efficiently and adheres to full-stack best practices.