bug fixes

data/maker/__init__.py

@@ -59,7 +59,7 @@ class Learner(Process):
         # @TODO: allow for verbose mode so we have a sens of what is going on within the newtork
         #
         
-        _log = {'action':'init','context':self.info['context'],'gpu':(self.gpu if self.gpu is not None else -1)}
+        _log = {'action':'init','gpu':(self.gpu if self.gpu is not None else -1)}
         self.log(**_log)
 
         # self.logpath= _args['logpath'] if 'logpath' in _args else 'logs'
@@ -67,8 +67,10 @@ class Learner(Process):
     def log(self,**_args):
         # self.lock.acquire()
         try:
+            _context = self.info['context']
+            _label = self.info['info'] if 'info' in self.info else _context
             logger = transport.factory.instance(**self.store['logger']) if 'logger' in self.store else transport.factory.instance(provider='console',context='write',lock=True)
-            _args = dict({'ndx':self.ndx,'module':self.name,'table':self.info['from'],'info':self.info['context'],**_args})
+            _args = dict({'ndx':self.ndx,'module':self.name,'table':self.info['from'],'context':_context,'info':_info,**_args})
             logger.write(_args)
             self.ndx += 1
             if hasattr(logger,'close') :
@@ -345,7 +347,7 @@ class Generator (Learner):
                     _type = np.float
                 if _type :
                     
-                    _df[name] = _df[name].fillna(0).replace('',0).replace('NA',0).replace('nan',0).astype(_type)
+                    _df[name] = _df[name].fillna(0).replace(' ',0).replace('',0).replace('NA',0).replace('nan',0).astype(_type)
                 # else:
                 #     _df[name] = _df[name].astype(str)
         # _df = _df.replace('NaT','').replace('NA','')
@@ -397,7 +399,10 @@ class Generator (Learner):
             # print (_df[cols])
             
             writer = transport.factory.instance(**_store)
-            writer.write(_df[:],schema=_schema)
+            if _store['provider'] == 'bigquery':
+                writer.write(_df,schema=[],table=self.info['from'])
+            else:
+                writer.write(_df,table=self.info['from'])