data-maker/data/maker/state/__init__.py

"""
This file handles state-space of the data training/generation process i.e Upon specification of the pre/post conditiions
"""
"""
This file handles state-space of the data training/generation process i.e Upon specification of the pre/post conditions,
The specifications for this are as follows (within an entry of the configuration)
    {
        "state":{
            "pre":[{"approximate":{"field":"int"}},{"newdate":{"field":"format"}}],"post":[{"limit":10}]
        }
    }
"""
import importlib
import importlib.util
import sys
from datetime import datetime
from data.maker.state.default import *
import os


class State :
    @staticmethod
    def apply(_data,lpointers):
        """
        This function applies a pipeline against a given data-frame, the calling code must decide whether it is a pre/post
        :_data  data-frame
        :_lpointers functions modules returned by instance (module,_args)
        """
        for _item in lpointers :
            if _item is None :
                continue
            
            pointer = _item['module']
        return _data
        pass
    @staticmethod
    def _build(_args):