DataClasses+Decorator+Metadata

dataclass.py

from dataclasses import dataclass, field

@dataclass
class SalesData:
    sales_figures: list = field(metadata={"description": "List of sales figures"})
    date: str = field(metadata={"description": "Date of the sales data"})
    region: str = field(metadata={"description": "Sales region"})

decorator.py

def log_metadata(func):
    def wrapper(data):
        for field_name, field_value in data.__dataclass_fields__.items():
            print(f"Field: {field_name}")
            print(f"Description: {field_value.metadata.get('description', 'N/A')}")
        return func(data)
    return wrapper

@log_metadata
def process_sales(data):
    # Your data processing logic goes here
    pass

main.py

sales_data = SalesData(
    sales_figures=[1000, 1500, 1200],
    date="2023-10-03",
    region="North"
)

process_sales(sales_data)