diff --git a/lab-python-error-handling.ipynb b/lab-python-error-handling.ipynb index 3e50ef8..3075635 100644 --- a/lab-python-error-handling.ipynb +++ b/lab-python-error-handling.ipynb @@ -41,18 +41,285 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "id": "cc2c441d-9dcf-4817-b097-cf6cbe440846", "metadata": {}, "outputs": [], "source": [ - "# your code goes here" + "# your code goes here\n", + "\n", + "\"\"\" \n", + "1.\n", + "Define a function named initialize_inventory that takes products as a parameter. \n", + "Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "\"\"\"\n", + "\n", + "\n", + "\n", + "def initialize_inventory(products):\n", + "\n", + " inventory = {}\n", + " \n", + " for product in products:\n", + " \n", + " print(\"Available Products: \", products)\n", + " \n", + " while True:\n", + " \n", + " try:\n", + " \n", + " product_amount = int(input(f\"Enter the amount for {product}: \"))\n", + " \n", + " if product_amount < 0:\n", + " \n", + " raise ValueError(\"Amount cannot be negative.\")\n", + " continue\n", + " \n", + " except ValueError as e:\n", + " print(f\"Error: {e}\")\n", + " continue\n", + " else:\n", + " inventory[product] = product_amount # Only executes if no error\n", + " break\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "acd5bfc3", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "2.\n", + "\n", + "Define a function named get_customer_orders that takes no parameters. \n", + "Inside the function, implement the code for prompting the user to enter the product names using a loop. \n", + "The function should return the customer_orders set.\n", + "\n", + "\"\"\"\n", + "\n", + "def get_customer_orders(inventory):\n", + " \n", + " customer_orders = set() \n", + " print(\"Available Products: \", inventory)\n", + " \n", + " while True:\n", + "\n", + " order = input(\"Enter your product order name: \").strip().lower()\n", + "\n", + " if order in inventory:\n", + " \n", + " customer_orders.add(order)\n", + " \n", + " else:\n", + " \n", + " print(\"Product not in Inventory\")\n", + " \n", + " ask_customer = input(\"Do you want to add more products? (yes/no): \").strip().lower()\n", + "\n", + " \n", + " if ask_customer == 'no':\n", + " break\n", + " \n", + " return customer_orders\n" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "cbbe9be8", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "3.\n", + "\n", + "Define a function named update_inventory that takes customer_orders and inventory as parameters. \n", + "Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "\"\"\"\n", + "def update_inventory(customer_orders, inventory):\n", + " \n", + " updated_inventory = inventory.copy()\n", + " \n", + " updated_customer_orders_dict = {}\n", + " \n", + " for product in customer_orders:\n", + "\n", + " while True:\n", + " \n", + " try:\n", + " \n", + " quantity = int(input(f\"How many '{product}' would you like to order? \"))\n", + " \n", + " if quantity <= 0:\n", + "\n", + " raise ValueError(\"Quantity must be greater than zero.\")\n", + " \n", + " if quantity > updated_inventory.get(product, 0):\n", + " raise ValueError(f\"Not enough stock for '{product}'. Available: {updated_inventory.get(product, 0)}.\")\n", + " except ValueError as e:\n", + " print(f\"Error: {e}\")\n", + " continue\n", + " else:\n", + " updated_inventory[product] -= quantity\n", + " updated_customer_orders_dict[product] = quantity\n", + " print(\"Order selected:\", updated_customer_orders_dict)\n", + " break # Exit loop when input is valid\n", + "\n", + " return updated_inventory, updated_customer_orders_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "326e2b9f", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "\n", + "4.\n", + "\n", + "Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n", + "Inside the function, implement the code for calculating the order statistics (total products ordered, \n", + "and percentage of unique products ordered).\n", + "The function should return these values.\n", + "\n", + "\"\"\"\n", + "def calculate_order_statistics(customer_orders_dict, products):\n", + " \n", + " try:\n", + "\n", + " total_products_ordered = sum(customer_orders_dict.values())\n", + " \n", + " unique_products_ordered = len(customer_orders_dict.keys())\n", + " \n", + " unique_inventory_products = len(products)\n", + " \n", + " percentage = (unique_products_ordered / unique_inventory_products) * 100\n", + "\n", + " except ZeroDivisionError:\n", + " print(\"Error: No products available in inventory.\")\n", + " return 0, 0\n", + "\n", + " return total_products_ordered, percentage\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "8032b18a", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "\n", + "5.\n", + "\n", + "Define a function named print_order_statistics that takes order_statistics as a parameter. \n", + "Inside the function, implement the code for printing the order statistics.\n", + "\n", + "\"\"\"\n", + "def print_order_statistics(order_statistics):\n", + " \n", + " total_products_ordered, percentage = order_statistics\n", + " \n", + " print(f\"Total products bought: {total_products_ordered}, Percentage of products bought from inventory: {percentage:.2f}%\")\n", + " \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "bd583bac", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "\n", + "6.\n", + "\n", + "Define a function named print_updated_inventory that takes inventory as a parameter. \n", + "Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "\"\"\"\n", + "def print_updated_inventory(inventory):\n", + " \n", + " print(\"\\nUpdated Inventory:\")\n", + "\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity} units\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "cac2bc47", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Available Products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n", + "Available Products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n", + "Available Products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n", + "Available Products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n", + "Available Products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n", + "Available Products: {'t-shirt': 213, 'mug': 241, 'hat': 21, 'book': 124, 'keychain': 123}\n", + "Product not in Inventory\n", + "Product not in Inventory\n", + "Order selected: {'mug': 213}\n", + "Total products bought: 213, Percentage of products bought from inventory: 20.00%\n", + "\n", + "Updated Inventory:\n", + "t-shirt: 213 units\n", + "mug: 28 units\n", + "hat: 21 units\n", + "book: 124 units\n", + "keychain: 123 units\n" + ] + } + ], + "source": [ + "\"\"\"\"\n", + "\n", + "7.\n", + "\n", + "Call the functions in the appropriate sequence to execute the program and manage customer orders.\n", + "\n", + "\"\"\"\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "def main():\n", + " \n", + " \n", + " inventory = initialize_inventory(products)\n", + " customer_orders = get_customer_orders(inventory)\n", + " \n", + " new_inventory, order_dict = update_inventory(customer_orders, inventory)\n", + " \n", + " stats = calculate_order_statistics(order_dict, products)\n", + " \n", + " print_order_statistics(stats)\n", + "\n", + " print_updated_inventory(new_inventory)\n", + "\n", + "\n", + "main()" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -66,7 +333,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.12.3" } }, "nbformat": 4,