try to generate a new model in order to match context versions [try t…

…o fix websocket issue]

tests/test_ml_streaming/test_streaming.py

@@ -7,6 +7,10 @@
 from scenarios.scenario2 import scenario2
 from scenarios.scenario3 import scenario3
 
+from pymilo import Export
+from sklearn.linear_model import LinearRegression
+from pymilo.utils.data_exporter import prepare_simple_regression_datasets
+
 
 @pytest.fixture(
     scope="session",
@@ -34,14 +38,21 @@ def prepare_bare_server(request):
 def prepare_ml_server(request):
     communication_protocol = request.param
     compression_method = "ZLIB"
+
+    x_train, y_train, _, _ = prepare_simple_regression_datasets()
+    linear_regression = LinearRegression()
+    linear_regression.fit(x_train, y_train)
+    Export(linear_regression).save('linear_model.json')
+
     server_proc = subprocess.Popen(
         [
             executable,
             "-m", "pymilo",
             "--compression", compression_method,
             "--protocol", communication_protocol,
             "--port", "9000",
-            "--load", os.path.join(os.getcwd(), "tests", "test_exceptions", "valid_jsons", "linear_regression.json")
+            "--load", os.path.join(os.getcwd(), "linear_model.json")
+            # "--load", os.path.join(os.getcwd(), "tests", "test_exceptions", "valid_jsons", "linear_regression.json")
             # "--load", "https://raw.githubusercontent.com/openscilab/pymilo/main/tests/test_exceptions/valid_jsons/linear_regression.json",
         ],
         )