Separate Header File

[ahmedmohammed107]

@sgoldenCS
Based on our conversation, I am now updating the "names" of the columns in the configuration file directly. However, we will need to think of a way to solve the problem when we have a separate file containing the header names of the csv files. There are multiple solutions that we discussed so far:

1. Manually read the header file in the driver and save the list of header names in the "names" variable. We then update the read_kwargs dictionary with this names variable. Finally, we make the Pandas Parser with the updated read_kwargs. This is the most straightforward way but it requires additional work in the driver itself.

2. Define a new parser in which I read the header file and save the list "names". Inside that parser I will make your Pandas Parser. Advantage: It is flexible to call whatever Parser version you develop. Disadvantage: I have to define every method that you have in your Parser. It will look something like:
   def load_data():
   return self.steven_parser.load_data()

3. Define a new parser that inherits from your defined parser. Advantage: All your methods are now defined. Disadvantage: We are strictly inheriting a specific version. If we want to inherit a new version, we will have to manually change the inherited class to your new version.