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312 changes: 308 additions & 4 deletions lab-python-error-handling.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -39,20 +39,324 @@
"\n"
]
},
{
"cell_type": "markdown",
"id": "116fa5ad",
"metadata": {},
"source": [
"# 1. Define a function named `initialize_inventory` that takes `products` as a parameter. \n",
"def initialize_inventory(products):\n",
" #Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
" inventory = {product: int(input(f\"Please input the amount of the product {product}\")) for product in products}\n",
" #return dictionary\n",
" return inventory "
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "cc2c441d-9dcf-4817-b097-cf6cbe440846",
"metadata": {},
"outputs": [],
"source": [
"# your code goes here"
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Please input the amount of the product {product}: \"))\n",
" if quantity < 0:\n",
" raise ValueError(\"Quantity cannot be negative!\")\n",
" inventory[product] = quantity\n",
" break # exit the while loop if input is valid\n",
" except ValueError as e:\n",
" print(f\"Invalid input: {e}. Please enter a positive whole number.\")\n",
" return inventory"
]
},
{
"cell_type": "markdown",
"id": "901cf8fd",
"metadata": {},
"source": [
"# 2.Define a function named `get_customer_orders` that takes no parameters. \n",
"def get_customer_orders():\n",
"#Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
" customer_orders = set()\n",
" \n",
" while True:\n",
" order = input(\"please enter the product you would like to order:\") \n",
" #add to customer_order\n",
" customer_orders.add(order)\n",
" #ask for more\n",
" next_order = input(\"Would you like to order something else? Please enter 'yes' or 'no':\").strip().lower() \n",
" if next_order == 'no':\n",
" break\n",
" #return set\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "26276df2",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders(products, inventory): # add inventory as parameter\n",
" customer_orders = set()\n",
" order_counts = {} # track how many times each product is ordered\n",
" \n",
" while True:\n",
" try:\n",
" order = input(\"Please enter the product you would like to order: \").strip().lower()\n",
" \n",
" if order not in products:\n",
" raise ValueError(f\"'{order}' is not in our inventory!\")\n",
" \n",
" # check if enough stock available\n",
" times_ordered = order_counts.get(order, 0)\n",
" if times_ordered >= inventory[order]:\n",
" raise ValueError(f\"Sorry! Only {inventory[order]} '{order}' available in stock!\")\n",
" \n",
" customer_orders.add(order)\n",
" order_counts[order] = times_ordered + 1\n",
" print(f\"'{order}' added to your order! ✅ (Stock remaining: {inventory[order] - order_counts[order]})\")\n",
" \n",
" except ValueError as e:\n",
" print(f\"Invalid input: {e}. Please try again.\")\n",
" continue\n",
" \n",
" next_order = input(\"Would you like to order something else? Please enter 'yes' or 'no': \").strip().lower()\n",
" if next_order == 'no':\n",
" break\n",
" elif next_order != 'yes':\n",
" print(\"Please enter 'yes' or 'no'!\")\n",
" \n",
" return customer_orders"
]
},
{
"cell_type": "markdown",
"id": "5bcd88ab",
"metadata": {},
"source": [
"# 3.Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. \n",
"def update_inventory(customer_orders, inventory):\n",
"#Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
" #return {product: (quantity -1 if product in customer_orders else quantity) for product, quantity in inventory.items()}\n",
" inventory = {product: (quantity -1 if product in customer_orders else quantity) for product, quantity in inventory.items()}\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "c611e08b",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" try:\n",
" # check if inputs are valid\n",
" if not isinstance(customer_orders, set):\n",
" raise TypeError(\"customer_orders must be a set!\")\n",
" if not isinstance(inventory, dict):\n",
" raise TypeError(\"inventory must be a dictionary!\")\n",
" if len(customer_orders) == 0:\n",
" raise ValueError(\"customer_orders is empty — no orders to process!\")\n",
" \n",
" # check if ordered products are in inventory\n",
" for product in customer_orders:\n",
" if product not in inventory:\n",
" raise ValueError(f\"'{product}' is not in the inventory!\")\n",
" if inventory[product] <= 0:\n",
" raise ValueError(f\"'{product}' is out of stock!\")\n",
" \n",
" # update inventory\n",
" inventory = {product: (quantity - 1 if product in customer_orders else quantity) \n",
" for product, quantity in inventory.items()}\n",
" return inventory\n",
" \n",
" except TypeError as e:\n",
" print(f\"Type error: {e}\")\n",
" except ValueError as e:\n",
" print(f\"Value error: {e}\")"
]
},
{
"cell_type": "markdown",
"id": "0b3f0bfe",
"metadata": {},
"source": [
"# 4.Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
"def calculate_order_statistics(customer_orders, products):\n",
"#Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
" total_products_ordered = len(customer_orders)\n",
" percentage_unique_products = (total_products_ordered / len(products)) *100\n",
"#The function should return these values.\n",
" return total_products_ordered, percentage_unique_products"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "fe5c1539",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
"def calculate_order_statistics(customer_orders, products):\n",
"# Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
" total_products_ordered = len(customer_orders)\n",
" percentage_unique_products = (total_products_ordered / len(products)) *100\n",
"# The function should return these values.\n",
" return total_products_ordered, percentage_unique_products"
]
},
{
"cell_type": "markdown",
"id": "00cf3a19",
"metadata": {},
"source": [
"# 5.Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. \n",
"def print_order_statistics(order_statistics):\n",
" #define order_statistics\n",
" total_products_ordered, percentage_unique_products = order_statistics\n",
"\n",
" #Inside the function, implement the code for printing the order statistics.\n",
" print(f\"Total products ordered: {total_products_ordered}\\n\"\n",
" f\"Percentage of unique products ordered: {percentage_unique_products: .2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "56464ddd",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" try:\n",
" # check if inputs are valid\n",
" if not isinstance(customer_orders, set):\n",
" raise TypeError(\"customer_orders must be a set!\")\n",
" if not isinstance(products, list):\n",
" raise TypeError(\"products must be a list!\")\n",
" if len(products) == 0:\n",
" raise ValueError(\"Products list is empty — cannot calculate statistics!\")\n",
" if len(customer_orders) == 0:\n",
" raise ValueError(\"No orders found — cannot calculate statistics!\")\n",
" if len(customer_orders) > len(products):\n",
" raise ValueError(\"Number of orders cannot exceed number of products!\")\n",
"\n",
" # calculate statistics\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_unique_products = (total_products_ordered / len(products)) * 100\n",
" \n",
" return total_products_ordered, percentage_unique_products\n",
"\n",
" except TypeError as e:\n",
" print(f\"Type error: {e}\")\n",
" except ValueError as e:\n",
" print(f\"Value error: {e}\")\n",
" except ZeroDivisionError:\n",
" print(\"Error: Cannot divide by zero — products list is empty!\")"
]
},
{
"cell_type": "markdown",
"id": "50bddea5",
"metadata": {},
"source": [
"# 6.Define a function named `print_updated_inventory` that takes `inventory` as a parameter. \n",
"def print_updated_inventory(inventory):\n",
"#Inside the function, implement the code for printing the updated inventory.\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6449bb91",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" try:\n",
" if not isinstance(inventory, dict):\n",
" raise TypeError(\"Inventory must be a dictionary!\")\n",
" if len(inventory) == 0:\n",
" raise ValueError(\"Inventory is empty — nothing to print!\")\n",
" \n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" if not isinstance(quantity, int):\n",
" raise TypeError(f\"Quantity for '{product}' must be a whole number!\")\n",
" if quantity < 0:\n",
" raise ValueError(f\"Quantity for '{product}' cannot be negative!\")\n",
" print(f\"{product}: {quantity}\")\n",
" \n",
" except TypeError as e:\n",
" print(f\"Type error: {e}\")\n",
" except ValueError as e:\n",
" print(f\"Value error: {e}\")"
]
},
{
"cell_type": "markdown",
"id": "e55a0dea",
"metadata": {},
"source": [
"call the functions"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "a2686eed",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'book' added to your order! ✅ (Stock remaining: 0)\n",
"Please enter 'yes' or 'no'!\n",
"Invalid input: Sorry! Only 1 'book' available in stock!. Please try again.\n",
"'mug' added to your order! ✅ (Stock remaining: 1)\n",
"'mug' added to your order! ✅ (Stock remaining: 0)\n",
"Invalid input: Sorry! Only 2 'mug' available in stock!. Please try again.\n",
"'t-shirt' added to your order! ✅ (Stock remaining: 0)\n",
"\n",
"Order Statistics:\n",
"(3, 60.0)\n",
"\n",
"Updated Inventory:\n",
"{'t-shirt': 0, 'mug': 1, 'hat': 3, 'book': 0, 'keychain': 2}\n"
]
}
],
"source": [
"#Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"# define products\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(products, inventory)\n",
"updated_inventory = update_inventory(customer_orders, inventory)\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"#print\n",
"print(\"\\nOrder Statistics:\")\n",
"print(order_statistics)\n",
"print(\"\\nUpdated Inventory:\")\n",
"print(updated_inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -66,7 +370,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.2"
}
},
"nbformat": 4,
Expand Down