# ---------------------------------------------------------- # ---- Inventory Pipeline # ---------------------------------------------------------- from dataclasses import dataclass # ---------------------------------------------------------- # ---- class definitions # ---------------------------------------------------------- # ---- pipeline class class Pipeline(): # ---- initialize pipeline with inventory object def __init__(self,iven): self.iven = iven # ---- returns a new (modified) inventory object def bind(self,func): return Pipeline(func(self.iven)) # ---- inventory data class @dataclass class Inventory(): '''Maintain a count of existing inventory.''' def __init__(self,inventory file_file): self.file = inventory_file_name self.items = [] # ---------------------------------------------------------- # ---- pipeline functions # ---------------------------------------------------------- pipeline functions could go here They should be stored in separate files and imported a. This keeps the functions as independent as possible b. This keeps file sizes smaller c. Allows the functions to be modified quickly and simply d. Allows them to be tested independently e. Does not disturb other functions # ---------------------------------------------------------- # ---- main # ---------------------------------------------------------- if __name__ == '__main__': # ---- inventory CSV file name and # ---- last date it was modified/created (yyyymmdd) filename = '20231014_inventory.csv' # ---- create inventory data object inventory = Inventory(filename) # ---- create pipeline object pipe = Pipeline(inventory) # ---- pipeline pipeline code goes here