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resolved #566

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233 changes: 231 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 +72,240 @@
"\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": 25,
"id": "9368fda7",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b01eccc4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 30, 'mug': 0, 'hat': 0, 'book': 40, 'keychain': 0}"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"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(\"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\n",
"\n",
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "6afa7880",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the number of customer orders: 4.\n",
"Error: No stock available for mug. Please, try again\n",
"Enter the name of the product the customer wants to order: keychain\n",
"Enter the name of the product the customer wants to order: t-shirt\n",
"Enter the name of the product the customer wants to order: hat\n"
]
}
],
"source": [
"def get_customer_orders(products, inventory):\n",
" \"\"\"It prompts the user to enter the number of customer orders and gathers the product names using \n",
" a loop and user input with comprehension.\"\"\"\n",
" valid_orders = False\n",
" while not valid_orders:\n",
" try:\n",
" number_of_orders = int(input('Enter the number of customer orders: ').strip())\n",
" if number_of_orders < 0:\n",
" raise ValueError(\"The number of orders needs to be >= 0.\")\n",
" \n",
" valid_orders = True\n",
" except ValueError as e:\n",
" print(f\"Error: {e}\")\n",
"\n",
" print(f'Enter the number of customer orders: {number_of_orders}.')\n",
"\n",
" customer_orders = set()\n",
" \n",
" for n in range (0, number_of_orders):\n",
" while True:\n",
" try:\n",
" product = input(f'Enter the name of a product from {products}').strip()\n",
" if product not in inventory:\n",
" raise ValueError(f'Choose betweeen: {list(inventory.keys())}')\n",
" \n",
" if inventory[product] <= 0:\n",
" raise ValueError(f'No stock available for {product}')\n",
" customer_orders.add(product)\n",
" break\n",
" except ValueError as e:\n",
" print(f\"Error: {e}. Please, try again\")\n",
"\n",
" for x in customer_orders:\n",
" print(f'Enter the name of the product the customer wants to order: {x}')\n",
"\n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders(products, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "d3f0cb79",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: <3>.\n",
"Percentage of Products Ordered: <60.0>%\n"
]
}
],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" \"\"\"It takes customer_orders and products and it calculates the order statistics.\"\"\"\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_of_prodcuts_ordered = total_products_ordered/len(products)*100\n",
" return (total_products_ordered, percentage_of_prodcuts_ordered)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" \"\"\"It takes `order_statistics` as a parameter and it prints the order statistics.\"\"\"\n",
" print(\n",
" f'Order Statistics:\\n'\n",
" f'Total Products Ordered: <{order_statistics[0]}>.\\n'\n",
" f'Percentage of Products Ordered: <{order_statistics[1]}>%'\n",
" )\n",
" \n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "7376826d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 49, 'hat': 49, 'book': 50, 'keychain': 49}"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" \"\"\"It takes customer_orders and inventory and it updates the inventory dictionary based on the customer orders\n",
" and it removes the product from the inventory if its quantity becomes zero after fulfilling the customer orders \n",
" using comprehension to filter out the products with a quantity of zero from the inventory.\"\"\"\n",
" # for, if, else new_dict = {key: (operation1 if condition is True else operation2), for key, value in dict.items()}\n",
" updated_inventory = {\n",
" product: (value - 1 if product in customer_orders else value)\n",
" for product, value in inventory.items()\n",
" }\n",
" updated_inventory = {product: value for product, value in updated_inventory.items() if value != 0}\n",
" return updated_inventory\n",
"\n",
"update_inventory(customer_orders, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "d726d89c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total price: 60.0€\n"
]
},
{
"data": {
"text/plain": [
"60.0"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def calculate_total_price(products, customer_orders):\n",
"\n",
" prices = {}\n",
"\n",
" valid_price = False\n",
"\n",
" for product in customer_orders:\n",
"\n",
" while True:\n",
"\n",
" try:\n",
" price = float(input(f'Enter the price of {product}: '))\n",
"\n",
" if price < 0:\n",
" raise ValueError(\"It needs to be a positive number\")\n",
" \n",
" prices[product] = price\n",
" break\n",
" except ValueError as e:\n",
" print(f'Error: {e}')\n",
"\n",
" total_price = sum(prices.values())\n",
"\n",
" print(f'Total price: {total_price}€')\n",
"\n",
" return total_price\n",
"\n",
"calculate_total_price(products, customer_orders)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -90,7 +319,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down