bug fix

data/maker/__init__.py

@@ -214,7 +214,7 @@ class Learner(Process):
         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',
+                'context':self.info['context'] ,
                 'logs':_args['logpath'] if 'logpath' in _args else 'logs',
                 'max_epochs':int(_args['epochs']) if 'epochs' in _args else 2,
                 'batch_size':int (_args['batch']) if 'batch' in _args else 2000
@@ -363,7 +363,13 @@ class Generator (Learner):
 
         #-- synthetic date
         _date = datetime(year=year,month=month,day=day)
-        FORMAT = _args['format'] if 'format' in _args else '%Y-%m-%d'
+        FORMAT =  '%Y-%m-%d'
+        if 'format' in self.info and 'field' in _args and _args['field'] in self.info['format']:
+            _name = _args['field']
+            FORMAT = self.info['format'][_name]
+
+
+        
         r = []
         if offset :
             r = [_date.strftime(FORMAT)]
@@ -382,6 +388,8 @@ class Generator (Learner):
         _store = self.store['target'] if 'target' in self.store else {'provider':'console'}
         _store['lock'] = True
         _store['context'] = 'write' #-- Just in case
+        if 'table' not in _store :
+            _store['table'] = self.info['from']
         writer = transport.factory.instance(**_store)
        
         for _iodf in _candidates :
@@ -398,11 +406,12 @@ class Generator (Learner):
                     iname = self.info['make_date'][name]
 
                     years = _df[iname]
-                    _dates = [self.make_date(year=year) for year in years]
+                    _dates = [self.make_date(year=year,field=name) for year in years]
                     if _dates :
                         _df[name] = _dates
-
+            _schema = self.get_schema()
-            writer.write(_df[['birth_datetime']+self.columns],schema=self.get_schema())
+            _schema = [{'name':_item.name,'type':_item.field_type} for _item in _schema]
+            writer.write(_df[['birth_datetime']+self.columns],schema=_schema)
         pass
 class factory :
     _infocache = {}