bug fixes, added logger (not yet using though)

data/__init__.py

@@ -3,15 +3,3 @@ from data.params import SYS_ARGS
 import transport
 from multiprocessing import Process, Queue
 from data.maker import prepare
-
-class Trainer (Process) :
-    pass
-class Maker(Process):
-    pass
-
-if __name__ == '__main__' :
-
-    logger = transport.factory.instance(SYS_ARGS['store']['logger'])
-    
-
-    

data/maker/__init__.py

@@ -207,9 +207,11 @@ class Learner(Process):
             self.gpu = int(_args['gpu'])
         else:
             self.gpu = None
+        
         self.info = _args['info']
         self.columns    = self.info['columns'] if 'columns' in self.info else None
         self.store      = _args['store']
+        self.logger = transport.factory.instance(_args['logger']) if 'logger' in self.store else transport.factory.instance(provider='console',context='write',lock=True)
         if 'network_args' not in _args :
             self.network_args ={
                 'context':_args['context'] if 'context' in _args else 'GENERAL',
@@ -379,11 +381,15 @@ class Generator (Learner):
         
         _store = self.store['target'] if 'target' in self.store else {'provider':'console'}
         _store['lock'] = True
+        _store['context'] = 'write' #-- Just in case
         writer = transport.factory.instance(**_store)
        
         for _iodf in _candidates :
             _df = self._df.copy()
             _df[self.columns] = _iodf[self.columns]
+            #
+            #@TODO:
+            # Improve formatting with better post-processing pipeline
             if 'approximate' in self.info :                
                 _df = self.approximate(_df)
             if 'make_date' in self.info :