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172 changes: 172 additions & 0 deletions lab-python-error-handling.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,178 @@
"\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": "markdown",
"id": "7ddfa8ca-a31b-4d0d-89c5-b828af5a1071",
"metadata": {},
"source": [
"**1.** `initialize_inventory(products)` \u2014 the retry loop given in the instructions above. Can't stay a one-line dict comprehension anymore: each product needs its own retry loop, so it's back to a regular loop with `try/except` inside."
]
},
{
"cell_type": "code",
"id": "f70e78cc-b7f0-4b90-97d4-deaf8ac96168",
"metadata": {},
"execution_count": null,
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" valid_quantity = False\n",
" while not valid_quantity:\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",
" valid_quantity = True\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "markdown",
"id": "8244da3f-b0e8-4dc1-96dd-281ebb5f0d21",
"metadata": {},
"source": [
"**2.** `calculate_total_price(customer_orders)` \u2014 same retry pattern per product. `float(...)` raises `ValueError` on its own for non-numeric input, so the `except` catches both that and the explicit `raise` for negative prices."
]
},
{
"cell_type": "code",
"id": "cd7040f6-e212-4d91-ac72-a99d989cd751",
"metadata": {},
"execution_count": null,
"outputs": [],
"source": [
"def calculate_total_price(customer_orders):\n",
" total_price = 0\n",
" for product in customer_orders:\n",
" valid_price = False\n",
" while not valid_price:\n",
" try:\n",
" price = float(input(f\"Enter the price of {product}: \"))\n",
" if price < 0:\n",
" raise ValueError(\"Price cannot be negative.\")\n",
" valid_price = True\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" total_price += price\n",
" return total_price"
]
},
{
"cell_type": "markdown",
"id": "a94753a1-890b-4e39-b289-45e27ea2bb49",
"metadata": {},
"source": [
"**3.** `get_customer_orders(inventory)` \u2014 now takes `inventory` as a parameter (per the hint) so it can check a product actually exists and has stock. Two separate validation loops: one for `num_orders` (numeric, non-negative), one for the product names themselves."
]
},
{
"cell_type": "code",
"id": "3071fe8f-bbe0-4ac8-a727-7b7b6a709d7b",
"metadata": {},
"execution_count": null,
"outputs": [],
"source": [
"def get_customer_orders(inventory):\n",
" valid_number = False\n",
" while not valid_number:\n",
" try:\n",
" num_orders = int(input(\"Enter the number of customer orders: \"))\n",
" if num_orders < 0:\n",
" raise ValueError(\"Number of orders cannot be negative.\")\n",
" valid_number = True\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
"\n",
" customer_orders = set()\n",
" while len(customer_orders) < num_orders:\n",
" product = input(\"Enter the name of a product that a customer wants to order: \")\n",
" if product not in inventory:\n",
" print(f\"Error: '{product}' is not a valid product.\")\n",
" elif inventory[product] <= 0:\n",
" print(f\"Error: '{product}' is out of stock.\")\n",
" else:\n",
" customer_orders.add(product)\n",
" return customer_orders"
]
},
{
"cell_type": "markdown",
"id": "d3b2b2a9-0850-4a48-bd23-300a54fcfb9d",
"metadata": {},
"source": [
"**4.** The rest \u2014 `update_inventory`, `calculate_order_statistics` and the two `print_*` helpers \u2014 are unchanged from the comprehension lab, no invalid input to guard against there. `get_customer_orders` now needs `inventory` passed in."
]
},
{
"cell_type": "code",
"id": "9f22a73f-ac0e-47c3-b096-e1fb6be42c2d",
"metadata": {},
"execution_count": null,
"outputs": [],
"source": [
"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",
" if product not in customer_orders or quantity - 1 > 0\n",
" }\n",
" return updated_inventory\n",
"\n",
"\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\n",
"\n",
"\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]}\")\n",
"\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "markdown",
"id": "c2b55085-020e-4905-8605-e16fa3c61dd7",
"metadata": {},
"source": [
"**5.** Call everything in sequence \u2014 same order as the comprehension lab, `get_customer_orders` just needs `inventory` passed in now."
]
},
{
"cell_type": "code",
"id": "cb3c410f-94e3-4c61-9026-e3a87a824029",
"metadata": {},
"execution_count": null,
"outputs": [],
"source": [
"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",
"print_order_statistics(order_statistics)\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"print_updated_inventory(inventory)\n",
"\n",
"total_price = calculate_total_price(customer_orders)\n",
"print(f\"Total Price: {total_price}\")"
]
}
],
"metadata": {
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