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278 changes: 275 additions & 3 deletions lab-python-error-handling.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,13 +72,285 @@
"\n",
"4. Test your code by running the program and deliberately entering invalid quantities and product names. Make sure the error handling mechanism works as expected.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "91148ba4-19bc-4c1e-88ad-767b52590020",
"metadata": {},
"outputs": [],
"source": [
"# Step 1: Initialize inventory with error handling\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
"\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter the quantity of {product}s available: \"))\n",
" if quantity < 0:\n",
" raise ValueError(\"Quantity cannot be negative.\")\n",
" inventory[product] = quantity\n",
" break\n",
" except ValueError as e:\n",
" print(f\"Error: {e}\")\n",
"\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "19258b52-23a0-4207-aae0-fad07754d0ca",
"metadata": {},
"outputs": [],
"source": [
"# Step 2: Get customer orders with error handling\n",
"def get_customer_orders(inventory):\n",
" # validate number of orders\n",
" while True:\n",
" try:\n",
" num_orders = int(input(\"Enter the number of customer orders: \"))\n",
" if num_orders <= 0:\n",
" raise ValueError(\"Number of orders must be greater than 0.\")\n",
" break\n",
" except ValueError as e:\n",
" print(f\"Error: {e}\")\n",
"\n",
" customer_orders = set()\n",
"\n",
" # validate product names\n",
" for _ in range(num_orders):\n",
" while True:\n",
" try:\n",
" product = input(\"Enter the name of a product that a customer wants to order: \").lower()\n",
"\n",
" if product not in inventory:\n",
" raise ValueError(\"Product not found in inventory.\")\n",
"\n",
" if inventory[product] <= 0:\n",
" raise ValueError(\"Product is out of stock.\")\n",
"\n",
" customer_orders.add(product)\n",
" break\n",
"\n",
" except ValueError as e:\n",
" print(f\"Error: {e}\")\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0d65dc31-338a-4964-9f3b-cea9acf880f1",
"metadata": {},
"outputs": [],
"source": [
"\n",
"# Step 3: Calculate order statistics\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_ordered"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c05bf8f2-32bc-48e8-9928-7ac25d4e4e90",
"metadata": {},
"outputs": [],
"source": [
"# Step 4: Update inventory (remove zero stock using comprehension)\n",
"def update_inventory(customer_orders, inventory):\n",
" updated_inventory = {\n",
" product: quantity - 1 if product in customer_orders else quantity\n",
" for product, quantity in inventory.items()\n",
" }\n",
"\n",
" # remove items with 0 quantity\n",
" updated_inventory = {\n",
" product: quantity\n",
" for product, quantity in updated_inventory.items()\n",
" if quantity > 0\n",
" }\n",
"\n",
" return updated_inventory"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ddcd46ae-1155-4afe-b2dc-377594e6cd34",
"metadata": {},
"outputs": [],
"source": [
"# Step 5: Calculate total price with error handling\n",
"def calculate_total_price(customer_orders):\n",
" prices = {}\n",
"\n",
" for product in customer_orders:\n",
" while True:\n",
" try:\n",
" price = float(input(f\"Enter the price of {product}: \"))\n",
" if price < 0:\n",
" raise ValueError(\"Price cannot be negative.\")\n",
" prices[product] = price\n",
" break\n",
" except ValueError as e:\n",
" print(f\"Error: {e}\")\n",
"\n",
" total_price = sum(prices.values())\n",
" return total_price"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f3cd7876-69c2-4d40-9c58-0502fd14b979",
"metadata": {},
"outputs": [],
"source": [
"# Step 6: Print order statistics\n",
"def print_order_statistics(order_statistics):\n",
" print(\"\\nOrder Statistics:\")\n",
" print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of Unique Products Ordered: {order_statistics[1]}\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9f03d645-b84b-4a24-931b-54b2a6137b2c",
"metadata": {},
"outputs": [],
"source": [
"# Step 7: Print updated inventory\n",
"def print_updated_inventory(inventory):\n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "248effad-fdad-4b19-99e2-e92159d32cb3",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity of t-shirts available: 25\n",
"Enter the quantity of mugs available: 5\n",
"Enter the quantity of hats available: 12\n",
"Enter the quantity of books available: 10\n",
"Enter the quantity of keychains available: 5\n",
"Enter the number of customer orders: 20\n",
"Enter the name of a product that a customer wants to order: t-shirts\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Product not found in inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product that a customer wants to order: \"t-shirts\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Product not found in inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product that a customer wants to order: [\"t-shirts\"]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Product not found in inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product that a customer wants to order: mug\n",
"Enter the name of a product that a customer wants to order: hat\n",
"Enter the name of a product that a customer wants to order: book\n",
"Enter the name of a product that a customer wants to order: keychain\n",
"Enter the name of a product that a customer wants to order: t-shirts\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Product not found in inventory.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product that a customer wants to order: socks\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Product not found in inventory.\n"
]
}
],
"source": [
"# MAIN PROGRAM\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(inventory)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"\n",
"total_price = calculate_total_price(customer_orders)\n",
"\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)\n",
"print(f\"\\nTotal Price: {total_price}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9a2ca367-7613-4fc7-9f67-19055be99a74",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base]",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -90,7 +362,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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