Avoid usage of dummy password

Author: orazve

graphdatascience/graph_data_science.py

@@ -91,8 +91,6 @@ def __init__(
                 with open(self._path("graphdatascience.resources.field-testing", "pub.pem"), "rb") as f:
                     pub_key = rsa.PublicKey.load_pkcs1(f.read())
                 self._encrypted_db_password = rsa.encrypt(auth[1].encode(), pub_key).hex()
-            else:
-                self._encrypted_db_password = '12345'
 
         self._compute_cluster_ip = None
 
@@ -156,7 +154,7 @@ def kge(self) -> KgeRunner:
             "gds.kge.model",
             self._server_version,
             self._compute_cluster_ip,
-            self._encrypted_db_password,
+            self._encrypted_db_password if self._query_runner.encrypted() else None,
             self._query_runner._gds_arrow_client._host + ":" + str(self._query_runner._gds_arrow_client._port),
         )
 

graphdatascience/model/kge_runner.py

@@ -66,12 +66,13 @@ def train(
             "task": "KGE_TRAINING_PYG",
             "task_config": {
                 "graph_config": graph_config,
-                "modelname": "dummmy_model_name",
+                "modelname": "dummmy_model_name"+str(time.time()),
                 "task_config": algo_config,
             },
-            # "encrypted_db_password": self._encrypted_db_password,
             "graph_arrow_uri": self._arrow_uri,
         }
+        if self._encrypted_db_password is not None:
+            config["encrypted_db_password"] = self._encrypted_db_password
 
         if mlflow_experiment_name is not None:
             config["task_config"]["mlflow"] = {