Creating olt class

.py

class OLT:
    """ Define a class OLT that have the following attributes:
        - An "int" Board quantity (slot_qty) which represent the maximun slot count that the OLT has.
        - An "int" Port quantity per slot (port_per_slot) which represent the maximun port count per slot that the OLT has.
        - An "int" Maximun client quantity per pon port (max_client_qty) which represent the maximun client count per port per slot that the OLT has. """

    def __init__(self, slot_qty=16, port_per_slot=16):
        self.slot_qty = slot_qty
        self.port_per_slot = port_per_slot

    # Then we define a method that will create and populate each pon port of the OLT instance with a client quantity
    def create_olt_and_populate(self, max_client_qty):
        # We assign the model of the OLT at random, during the creation
        models = ['Model_A', 'Model_B', 'Model_C', 'Model_D']
        model = choice(models)
        # We define a list as population, to add to it the information as tuples (slot, port, client_qty, model)
        population = []
        slot_port_tuples = [(slot, port) for slot, port in product(range(1,self.slot_qty+1), range(1,self.port_per_slot+1))]

        for tupla in slot_port_tuples:
            population.append(tupla + (randint(0,max_client_qty),model))

        # Then we create and return a Pandas DataFrame, in which each row represents "a PON port" with its information
        df = pd.DataFrame(population, columns=['slot', 'port', 'client_qty', 'model'])

        return df