All: Like most people, I find the whole metaclass topic pretty obscure, and I have avoided trying to use one for a while. I am also aware of Tim Peter's famous advice that if you have to ask whether you need a metaclass, then you almost certainly don't. But in this case I know I am solving a problem similar to problems that other high-profile Python modules (e.g., Django's Model class) have solved using metaclasses.
My company is using a database whose interface is defined in a series of JSON objects. I am writing some interface code to the database and I am trying to hide the detail of the JSON implementation from the user. I want the user to be able to define a class representing a database entry for any arbitrary table, whose attributes represent database entities, like fields or tags, with syntax something like the following: class DataSet: data_set_id = DatabaseKeyField(int) description = DatabaseField(str) creation_date = DatabaseField(datetime.date) creation_timestamp = DatabaseField(datetime.datetime) def __init__(self, ds_id, description, timestamp): self.data_set_id = ds_id self.description = description self.creation_timestamp = timestamp self.creation_date = timestamp.date I know that to create the DatabaseField objects I should be using a descriptor. But I also want the DataSet to automatically gain methods that will convert it into the expected JSON syntax (e.g., a __specifier__ method that will create a JSON object with only "key" fields, and an __object__ method that will create a JSON object with all the fields and other bells and whistles.) My ultimate question then: How do I go about adding those kinds of methods (which iterate through all the attributes which are Database* descriptors)? I know that I could eschew metaclasses altogether and use a common super-class, but this doesn't feel like the right situation for inheritance to me. Is a metaclass going to be the cleanest and easiest-to-understand way to solve this problem? Thank you, all! -MCL
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