# Chapter6.py

# Data Sets / Collections

# Single Element or Item / unstructured / Dictionary key:value
# Some of the properties when choosing a collection
## Does the data need to change? immutable no mutatable yes
## Do I need the data elements to be indexed? index 0-length
## Does the data need to be pre sorted? sort order?
## Do I need duplicates?

# Lists [el1, el2,...]
## mutatable -> add, append, delete, update, ...
## indexed positional index[0] 3 elements  O-2 length:3 Bob,Joe,Mary
## The base sort order is by index id
## duplicate values are ok  ["Bob","Joe","Bob","Mary"] len<4> 0:3

# Sets {item1, item2, ...}
## read objects
## not indexed  {"Bob","Mary","Frank"}  positional id{1} length 3 
## No sort order at all {"Bob","Mary","Frank"} {"Mary","Bob","Frank"} ...
## duplicates are not allowed Bob,Joe,Beth,Bob -> {} Bob,Joe,Beth

# Tuples (item1, item2, ...)
## immutable -> no append(), no update(), ...
## tuple -> list [do changes] -> tuple
## positional ids  param1, param2 -> pass args in order of params
## duplicates ok

# Dictionary / Map / Hash Map
## key: value pairs
## key can not be duplicated
## values can be duplicated
## { firstname: Bob, lastname: Smith }, { firstname: Jane, lastname: Smith }

# Structured Data / Dimensional Data
## Python -> Array (pandas) Level 3 Class "dataframe"
## 1 Dimensional Array (col) Series of Data
## 2 Dimensional Array (row,col) dataframe
## 3 Dimensional Array p1 -> (row,col) Excel pivot tables
## 4 Dimensional Array p2 -> p1 -> (row,col)
## ...
## 7 Dimensional Array p5 -> p4 -> p3 -> p2 -> p1 -> (row,col) 

# Chapter 6 Lists page 164 and Tuples page 194

# Lists
product1 = ["widget1", 10.50, "widget 1 desc", True]
product2 = ["widget2", 15.50, "widget 2 desc", False]
product3 = ["widget3", 9.50, "widget 3 desc", True]

# Products List
products = [
    ["widget4"  , 10.50 , "widget 4 desc" , True],
    ["widget5"  , 15.50, "widget 5 desc" , False],
    ["widget6"  , 9.50 , "widget 6 desc" , True]
 ] # products

# Print the exiting list of products
## for x in ys
## x is the local variable in the scope "sub operation"
## ys is the dataset
def printProducts():
    for product in products:
        print("=== Product ===")
        print(product)
        print("===============")


# Ask the user to add a new product
def addProduct():
    # Step 1 Ask the user to add the product details
    sku = input("Enter the product sku: ")    # string
    price = float(input("Enter the product price: ")) # float
    description = input("Enter the product description: ")  # string
    inStock_input = input("Is the product in stock (yes/no): ").strip().lower()#  YES, YEs, Yes

    inStock = inStock_input in ['yes','y']   # True for boolean

    # Step 2 Append the new product to the products list
    products.append([sku,price,description,inStock])

# Ask the user to add new products
def userAddProduct():
    printProducts()
    while True:
        addProduct() # call the addProduct()
        addAnotherProduct = input("Do you want to add a new product (yes,no): ").strip().lower()  # set the variable addAnotherProduct
        if addAnotherProduct not in ['yes','y']:
            break
    printProducts()

# Tuple
def creditCardProc():
    cc_num = input("Enter your credit card number: ")
    cc_exp = input("Enter your credit card exp date: ")
    cc_cvc = input("Enter your credit card security code: ")
    cc_zip = input("Enter your credit card zip: ")
    # 4 objects in memory

    # Create a tuple from the objects in memory
    cc_info = (cc_num, cc_exp, cc_cvc, cc_zip)

    # Use the zip() function to read the tuple
    # for x in zip()
    print("Credit Card Information")
    field_headers = ["Credit Card Number","Exp Date","CVV Code","Zip Code"]

    # for var1,var2 in zip(LIST,TUPLE)
    for field_headers, cc_info in zip(field_headers, cc_info):
        print(f"{field_headers} {cc_info}")  # list + tuple different types
        # f"{templatevar}" ignores the type, only cares about value