bug fix ...

data/maker/__init__.py

@@ -144,20 +144,22 @@ def generate(**_args):
     """
     partition = _args['partition'] if 'partition' in _args else None
     if not partition :
-        LOG_DIR = os.sep.join([_args['logs'],'output',_args['context']])
+        MAP_FLDER = os.sep.join([_args['logs'],'output',_args['context']])
         # f = open(os.sep.join([_args['logs'],'output',_args['context'],'map.json']))
     else:
-        LOG_DIR = os.sep.join([_args['logs'],'output',_args['context'],str(partition)])
+        MAP_FOLDER = os.sep.join([_args['logs'],'output',_args['context'],str(partition)])
         # f = open(os.sep.join([_args['logs'],'output',_args['context'],str(partition),'map.json']))
-    f = open(os.sep.join([LOG_DIR,'map.json']))
+    f = open(os.sep.join([MAP_FOLDER,'map.json']))
     _map = json.loads(f.read())
     f.close()
+    #
+    # 
     # if 'file' in _args :
     #     df = pd.read_csv(_args['file'])
     # else:
     #     df = _args['data'] if not isinstance(_args['data'],str) else pd.read_csv(_args['data'])
     args = {"context":_args['context'],"max_epochs":_args['max_epochs'],"candidates":_args['candidates']}
-    args['logs'] = LOG_DIR if 'logs' in _args else 'logs'
+    args['logs'] = _args['logs'] if 'logs' in _args else 'logs'
     args ['max_epochs'] = _args['max_epochs']
     # args['matrix_size'] = _matrix.shape[0]
     args['batch_size'] = 2000
@@ -177,7 +179,6 @@ def generate(**_args):
     lparams = {'columns':None}
     if partition :
         lparams['partition'] = partition
-    
     handler.load_meta(**lparams)
     #
     # Let us now format the matrices by reverting them to a data-frame with values

pipeline.py

@@ -244,7 +244,7 @@ class Components :
 		writer 	= factory.instance(**_args['store'])
 		_df 	= _args['data']
 		if _schema :
-			columns = _df.columns.tolist
+			columns = []
 			for _item in _schema :
 				name = _item['name']
 				_type = str

setup.py

@@ -5,7 +5,7 @@ import sys
 def read(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read() 
 args = {"name":"data-maker",
-        "version":"1.4.7.3",
+        "version":"1.4.7.4",
         "author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
         "packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
 args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']