(refactor) argument renaming, add region, do_train and do_predict arguments

@@ -139,9 +139,10 @@ def start(chunked_sha_msgs, train=True):
     max_target_length = args.max_target_length if train else args.val_max_target_length
 
     data_config = DataConfig(
-        endpoint=args.matorage_dir,
+        endpoint=args.endpoint,
         access_key=os.environ['access_key'],
         secret_key=os.environ['secret_key'],
+        region=args.region,
         dataset_name='commit-autosuggestions',
         additional={
             "mode" : ("training" if train else "evaluation"),
@@ -175,8 +176,10 @@ def main(args):
     ]
 
     barrier = int(len(chunked_sha_msgs) * (1 - args.p_val))
-    start(chunked_sha_msgs[:barrier], train=True)
-    start(chunked_sha_msgs[barrier:], train=False)
+    if args.do_train:
+        start(chunked_sha_msgs[:barrier], train=True)
+    if args.do_predict:
+        start(chunked_sha_msgs[barrier:], train=False)
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Code to collect commits on github")
@@ -187,10 +190,16 @@ if __name__ == "__main__":
         help="github url"
     )
     parser.add_argument(
-        "--matorage_dir",
+        "--endpoint",
         type=str,
         required=True,
-        help='matorage saved directory.'
+        help='matorage endpoint, check document of matorage: https://matorage.readthedocs.io/en/stable/storage.html'
+    )
+    parser.add_argument(
+        "--region",
+        type=str,
+        default=None,
+        help='matorage s3 region, check document of matorage: https://matorage.readthedocs.io/en/stable/storage.html'
     )
     parser.add_argument(
         "--matorage_batch",
@@ -226,6 +235,8 @@ if __name__ == "__main__":
              "than this will be truncated, sequences shorter will be padded.",
     )
     parser.add_argument("--p_val", type=float, default=0.25, help="percent of validation dataset")
+    parser.add_argument("--do_train", action="store_true", default=False)
+    parser.add_argument("--do_predict", action="store_true", default=False)
     args = parser.parse_args()
 
     args.local_path = args.url.split('/')[-1]