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Ricardo Santos - lab done: error handling #567

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146 changes: 144 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 +72,153 @@
"\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": 18,
"id": "55d62d3f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Quantity cannot be negative.You need to repeat the input.\n",
"Error: invalid literal for int() with base 10: 'mug'\n",
"Error: Number of orders cannot be negative.\n",
"Error: Product not found in inventory. Please enter a valid product name.\n",
"Error: Product already ordered. Please enter a different product.\n",
"Order Statistics:\n",
"Total products ordered: 2\n",
"Percentage of products ordered: 40.00%\n",
"Updated Inventory:\n",
"t-shirt: 10\n",
"mug: 19\n",
"hat: 29\n",
"book: 40\n",
"keychain: 50\n",
"Error: Price cannot be negative.\n",
"Error: could not convert string to float: 'bat'\n",
"Total price: 3.0\n"
]
},
{
"data": {
"text/plain": [
"3.0"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#previous data\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"#step 1 from lab comprehension + ajusted error handling\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter the quantity of {product} available: \"))\n",
" if quantity < 0:\n",
" raise ValueError(\"Quantity cannot be negative.You need to repeat the input.\")\n",
" inventory[product] = quantity\n",
" break\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" return inventory\n",
"\n",
"\n",
"\n",
"#step 2 from lab comprehension\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" while True:\n",
" try:\n",
" orders = int(input(\"Enter the number of different products the customer wants to order: \"))\n",
" if orders < 0:\n",
" raise ValueError(\"Number of orders cannot be negative.\")\n",
" break\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" continue\n",
" for i in range(orders):\n",
" while True: \n",
" try:\n",
" p = input(\"Enter the name of a product that a customer wants to order:\")\n",
" if p not in inventory:\n",
" raise ValueError(\"Product not found in inventory. Please enter a valid product name.\")\n",
" if p in customer_orders:\n",
" raise ValueError(\"Product already ordered. Please enter a different product.\")\n",
" customer_orders.add(p)\n",
" break\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" return customer_orders\n",
"\n",
"\n",
"#step 3 from lab comprehension\n",
"def update_inventory(customer_orders, inventory):\n",
" inventory_updated = {product: inventory.get(product) - 1 if product in customer_orders else inventory.get(product) for product in inventory}\n",
" inventory_updated = {product: inventory_updated[product] for product in inventory_updated if inventory_updated[product] > 0}\n",
" return inventory_updated\n",
"\n",
"#step 4 from lab comprehension\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = round((total_products_ordered / len(products)) * 100, 1)\n",
" order_statistics = (total_products_ordered, percentage_ordered)\n",
" return order_statistics\n",
"\n",
"#step 5 from lab comprehension\n",
"def print_order_statistics(order_statistics):\n",
" print(\"Order Statistics:\")\n",
" print(f\"Total products ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of products ordered: {order_statistics[1]:.2f}%\")\n",
" return order_statistics\n",
"\n",
"#step 6 from lab comprehension\n",
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" {print(f\"{product}: {inventory[product]}\") for product in inventory}\n",
"\n",
"#new step 3 from lab comprehension\n",
"def calculate_total_price(customer_orders):\n",
" prices = {}\n",
" for product in customer_orders:\n",
" while True:\n",
" try:\n",
" price = float(input(f\"Enter the price for {product}: \"))\n",
" if price < 0:\n",
" raise ValueError(\"Price cannot be negative.\")\n",
" prices[product] = price\n",
" break\n",
" except ValueError as error:\n",
" print(f\"Error: {error}\")\n",
" total_price = sum([prices[product] for product in prices])\n",
" print(f\"Total price: {total_price:.1f}\")\n",
" return total_price\n",
"\n",
"# Main program from lab comprehension\n",
"\n",
"inventory = initialize_inventory(products)#to set up quantities\n",
"customer_orders = get_customer_orders()#to record the order from the customer\n",
"inventory = update_inventory(customer_orders, inventory)#to update the inventory after the order\n",
"order_statistics = calculate_order_statistics(customer_orders, products)#calculate statistics\n",
"print_order_statistics(order_statistics)#to print statistics\n",
"print_updated_inventory(inventory)#to print the updated inventory\n",
"calculate_total_price(customer_orders)#to calculate total price of the order"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -90,7 +232,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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