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lab done #569

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163 changes: 161 additions & 2 deletions lab-python-error-handling.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,11 +72,170 @@
"\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": "31b91ab7",
"metadata": {},
"outputs": [],
"source": [
"# Step 1: Define the function for initializing the inventory with error handling\n",
"\n",
"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(\"Invalid quantity! Please enter a non-negative value.\")\n",
" valid_quantity = True\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" inventory[product] = quantity\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4b3299be",
"metadata": {},
"outputs": [],
"source": [
"#2\n",
"def calculate_total_price(customer_orders):\n",
" total_price = 0.0\n",
" \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 for {product}: \"))\n",
" if price < 0:\n",
" raise ValueError(\"Invalid price! Please enter a non-negative value.\")\n",
" valid_price = True\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
"\n",
" total_price += price\n",
" \n",
" return total_price\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3ac91d46",
"metadata": {},
"outputs": [],
"source": [
"\"\"\"3. Modify the `get_customer_orders` function to include error handling.\n",
" - If the user enters an invalid number of orders (e.g., a negative value or a non-numeric value), display an error message and ask them to re-enter the number of orders.\n",
" - If the user enters an invalid product name (e.g., a product name that is not in the inventory), or that doesn't have stock available, display an error message and ask them to re-enter the product name. *Hint: you will need to pass inventory as a parameter*\n",
" - Use a try-except block to handle the error and continue prompting the user until a valid product name is entered.\n",
" \n",
"\"\"\"\n",
"\n",
"def get_customer_orders(inventory):\n",
" customer_orders = set()\n",
"\n",
" while True:\n",
" try:\n",
" num_orders = int(input(\"Enter the number of customer orders: \"))\n",
" if num_orders < 0:\n",
" raise ValueError(\"The number of orders cannot be negative. Please enter a non-negative integer.\")\n",
" break \n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
"\n",
" for i in range(num_orders):\n",
" while True:\n",
" product = input(f\"Enter the name of product {i + 1} the customer wants to order: \").strip()\n",
" if product not in inventory:\n",
" print(f\"Error: {product} is not in the inventory. Please enter a valid product name.\")\n",
" elif inventory[product] <= 0:\n",
" print(f\"Error: {product} is out of stock. Please choose another product.\")\n",
" else:\n",
" customer_orders.add(product)\n",
" break\n",
" \n",
" return customer_orders\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "020ca311",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: invalid literal for int() with base 10: 'g'\n",
"Error: 4 is not in the inventory. Please enter a valid product name.\n",
"Error: 5 is not in the inventory. Please enter a valid product name.\n",
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 40.0 %\n",
"Updated Inventory:\n",
"t-shirts: 5\n",
"mugs: 2\n",
"hats: 4\n",
"books: 6\n",
"keychains: 4\n",
"Error: could not convert string to float: 't-shirt'\n",
"Error: could not convert string to float: 'nbook'\n",
"Error: could not convert string to float: 'keychain'\n",
"Total Price of Customer Order: 9.0\n"
]
}
],
"source": [
"#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",
"\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" inventory = {product: (quantity - 1 if product in customer_orders and quantity > 0 else quantity)\n",
" for product, quantity in inventory.items()}\n",
" inventory = {product: quantity for product, quantity in inventory.items() if quantity > 0}\n",
" return inventory\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_products_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_products_ordered\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" total, percentage = order_statistics\n",
" print(\"Order Statistics:\")\n",
" print(\"Total Products Ordered:\", total)\n",
" print(\"Percentage of Unique Products Ordered:\", percentage, \"%\")\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" inventory_details = [product + \"s: \" + str(quantity) for product, quantity in inventory.items()]\n",
" print(\"\\n\".join(inventory_details))\n",
"\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(inventory)\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)\n",
"\n",
"total_price = calculate_total_price(customer_orders)\n",
"print(\"Total Price of Customer Order:\", total_price)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -90,7 +249,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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