Restoring old dummy dakota optimizer

force_bdss/core_plugins/dummy_mco/dakota/dakota_communicator.py

@@ -8,20 +8,14 @@ class DakotaCommunicator(BaseMCOCommunicator):
     def receive_from_mco(self):
         data = sys.stdin.read()
         values = list(map(float, data.split()))
-        parameters = self.model.parameters
 
-        if len(values) != len(parameters):
-            raise ValueError(
-                "The passed information length is {}, but the model "
-                "specifies {} values.".format(
-                    len(values), len(parameters)
-                    ))
-
-        value_types = [p.type for p in parameters]
-        value_names = [p.name for p in parameters]
+        value_types = self.model.value_types
+        if len(values) != len(value_types):
+            raise ValueError("Length of provided data differs from the number "
+                             "of expected types. {} {}".format(values,
+                                                               value_types))
 
         return DataSourceParameters(
-            value_names=value_names,
             value_types=value_types,
             values=numpy.array(values)
         )

force_bdss/core_plugins/dummy_mco/dakota/dakota_model.py

 from traits.api import List, String
+
 from force_bdss.api import BaseMCOModel
 
 

force_bdss/core_plugins/dummy_mco/dakota/dakota_optimizer.py

@@ -5,7 +5,7 @@ import sys
 from force_bdss.api import BaseMultiCriteriaOptimizer
 
 
-class DummyDakotaOptimizer(BaseMultiCriteriaOptimizer):
+class DakotaOptimizer(BaseMultiCriteriaOptimizer):
     def run(self):
         print("Running dakota optimizer")
         for initial_value in range(10):
@@ -18,5 +18,3 @@ class DummyDakotaOptimizer(BaseMultiCriteriaOptimizer):
 
             out = ps.communicate("{}".format(initial_value).encode("utf-8"))
             print("{}: {}".format(initial_value, out[0].decode("utf-8")))
-
-

force_bdss/tests/fixtures/test_csv.json

@@ -4,6 +4,7 @@
     "multi_criteria_optimizer": {
       "id": "force.bdss.bundles.enthought.dakota",
       "model_data": {
+        "value_types": ["DUMMY"]
       }
     },
     "data_sources": [