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"""
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This file handles state-space of the data training/generation process i.e Upon specification of the pre/post conditiions
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"""
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"""
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This file handles state-space of the data training/generation process i.e Upon specification of the pre/post conditions,
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The specifications for this are as follows (within an entry of the configuration)
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{
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"state":{
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"pre":[{"approximate":{"field":"int"}},{"newdate":{"field":"format"}}],"post":[{"limit":10}]
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}
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}
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"""
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import importlib
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import importlib.util
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import sys
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from datetime import datetime
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from data.maker.state.default import *
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import os
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class State :
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@staticmethod
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def apply(_data,lpointers):
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"""
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This function applies a pipeline against a given data-frame, the calling code must decide whether it is a pre/post
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:_data data-frame
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:_lpointers functions modules returned by instance (module,_args)
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"""
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for _item in lpointers :
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if _item is None :
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continue
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pointer = _item['module']
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return _data
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pass
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@staticmethod
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def _build(_args):
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