Parmest update of util convert_params_to_vars.

pyomo/contrib/parmest/parmest.py

@@ -440,8 +440,8 @@ def TotalCost_rule(model):
             )
 
         # Convert theta Params to Vars, and unfix theta Vars
-        theta_names = [k.name for k, v in model.unknown_parameters.items()]
-        parmest_model = utils.convert_params_to_vars(model, theta_names, fix_vars=False)
+        theta_CUIDs = [v for k, v in model.unknown_parameters.items()]
+        parmest_model = utils.convert_params_to_vars(model, theta_CUIDs, fix_vars=False)
 
         return parmest_model
 
@@ -1556,7 +1556,8 @@ def TotalCost_rule(model):
             )
 
         # Convert theta Params to Vars, and unfix theta Vars
-        model = utils.convert_params_to_vars(model, self.theta_names)
+        theta_CUIDs = [ComponentUID(theta_name) for theta_name in self.theta_names]
+        model = utils.convert_params_to_vars(model, theta_CUIDs)
 
         # Update theta names list to use CUID string representation
         for i, theta in enumerate(self.theta_names):

pyomo/contrib/parmest/tests/test_utils.py

@@ -11,6 +11,7 @@
 
 from pyomo.common.dependencies import pandas as pd, pandas_available
 
+from pyomo.core.base.var import IndexedVar
 import pyomo.environ as pyo
 import pyomo.common.unittest as unittest
 import pyomo.contrib.parmest.parmest as parmest
@@ -29,6 +30,9 @@ class TestUtils(unittest.TestCase):
     def test_convert_param_to_var(self):
         # TODO: Check that this works for different structured models (indexed, blocks, etc)
 
+        # test params
+        #############
+
         from pyomo.contrib.parmest.examples.reactor_design.reactor_design import (
             ReactorDesignExperiment,
         )
@@ -46,12 +50,12 @@ def test_convert_param_to_var(self):
         exp = ReactorDesignExperiment(data, 0)
         instance = exp.get_labeled_model()
 
-        theta_names = ['k1', 'k2', 'k3']
+        param_CUIDs = [v for k, v in instance.unknown_parameters.items()]
         m_vars = parmest.utils.convert_params_to_vars(
-            instance, theta_names, fix_vars=True
+            instance, param_CUIDs, fix_vars=True
         )
 
-        for v in theta_names:
+        for v in [str(CUID) for CUID in param_CUIDs]:
             self.assertTrue(hasattr(m_vars, v))
             c = m_vars.find_component(v)
             self.assertIsInstance(c, pyo.Var)
@@ -60,6 +64,77 @@ def test_convert_param_to_var(self):
             self.assertEqual(pyo.value(c), pyo.value(c_old))
             self.assertTrue(c in m_vars.unknown_parameters)
 
+        # test indexed params
+        #####################
+
+        from pyomo.contrib.parmest.examples.rooney_biegler.rooney_biegler import (
+            RooneyBieglerExperiment,
+        )
+
+        self.data = pd.DataFrame(
+            data=[[1, 8.3], [2, 10.3], [3, 19.0], [4, 16.0], [5, 15.6], [7, 19.8]],
+            columns=["hour", "y"],
+        )
+
+        def rooney_biegler_indexed_params(data):
+            model = pyo.ConcreteModel()
+
+            model.param_names = pyo.Set(initialize=["asymptote", "rate_constant"])
+            model.theta = pyo.Param(
+                model.param_names,
+                initialize={"asymptote": 15, "rate_constant": 0.5},
+                mutable=True,
+            )
+
+            model.hour = pyo.Param(within=pyo.PositiveReals, mutable=True)
+            model.y = pyo.Param(within=pyo.PositiveReals, mutable=True)
+
+            def response_rule(m, h):
+                expr = m.theta["asymptote"] * (
+                    1 - pyo.exp(-m.theta["rate_constant"] * h)
+                )
+                return expr
+
+            model.response_function = pyo.Expression(data.hour, rule=response_rule)
+
+            return model
+
+        class RooneyBieglerExperimentIndexedParams(RooneyBieglerExperiment):
+
+            def create_model(self):
+                data_df = self.data.to_frame().transpose()
+                self.model = rooney_biegler_indexed_params(data_df)
+
+            def label_model(self):
+
+                m = self.model
+
+                m.experiment_outputs = pyo.Suffix(direction=pyo.Suffix.LOCAL)
+                m.experiment_outputs.update(
+                    [(m.hour, self.data["hour"]), (m.y, self.data["y"])]
+                )
+
+                m.unknown_parameters = pyo.Suffix(direction=pyo.Suffix.LOCAL)
+                m.unknown_parameters.update((k, pyo.ComponentUID(k)) for k in [m.theta])
+
+        exp = RooneyBieglerExperimentIndexedParams(self.data.loc[0, :])
+        instance = exp.get_labeled_model()
+
+        param_CUIDs = [v for k, v in instance.unknown_parameters.items()]
+        m_vars = parmest.utils.convert_params_to_vars(
+            instance, param_CUIDs, fix_vars=True
+        )
+
+        for v in [str(CUID) for CUID in param_CUIDs]:
+            self.assertTrue(hasattr(m_vars, v))
+            c = m_vars.find_component(v)
+            self.assertIsInstance(c, IndexedVar)
+            for _, iv in c.items():
+                self.assertTrue(iv.fixed)
+                iv_old = instance.find_component(iv)
+                self.assertEqual(pyo.value(iv), pyo.value(iv_old))
+            self.assertTrue(c in m_vars.unknown_parameters)
+
 
 if __name__ == "__main__":
     unittest.main()

pyomo/contrib/parmest/utils/model_utils.py

@@ -22,16 +22,16 @@
 logger = logging.getLogger(__name__)
 
 
-def convert_params_to_vars(model, param_names=None, fix_vars=False):
+def convert_params_to_vars(model, param_CUIDs=None, fix_vars=False):
     """
     Convert select Params to Vars
 
     Parameters
     ----------
     model : Pyomo concrete model
         Original model
-    param_names : list of strings
-        List of parameter names to convert, if None then all Params are converted
+    param_CUIDs : list of strings
+        List of parameter CUIDs to convert, if None then all Params are converted
     fix_vars : bool
         Fix the new variables, default is False
 
@@ -43,21 +43,31 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
 
     model = model.clone()
 
-    if param_names is None:
-        param_names = [param.name for param in model.component_data_objects(pyo.Param)]
+    if param_CUIDs is None:
+        param_CUIDs = [
+            ComponentUID(param) for param in model.component_data_objects(pyo.Param)
+        ]
 
-    indexed_param_names = []
+    # if param_CUIDs is None:
+    #     param_CUIDs = [
+    #         ComponentUID(param.name)
+    #         for param in model.component_data_objects(pyo.Param)
+    #     ]
+
+    # keep a list of the parameter CUIDs in the case of indexing
+    indexed_param_CUIDs = []
 
     # Convert Params to Vars, unfix Vars, and create a substitution map
     substitution_map = {}
     comp_map = ComponentMap()
-    for i, param_name in enumerate(param_names):
+    for param_CUID in param_CUIDs:
+
         # Leverage the parser in ComponentUID to locate the component.
-        theta_cuid = ComponentUID(param_name)
-        theta_object = theta_cuid.find_component_on(model)
+        theta_object = param_CUID.find_component_on(model)
 
         # Param
         if theta_object.is_parameter_type():
+
             # Delete Param, add Var
             vals = theta_object.extract_values()
             model.del_component(theta_object)
@@ -69,20 +79,24 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
             substitution_map[id(theta_object)] = theta_var_object
             comp_map[theta_object] = theta_var_object
 
-        # Indexed Param
+        # Indexed Param -- Delete Param, add Var
         elif isinstance(theta_object, IndexedParam):
-            # Delete Param, add Var
-            # Before deleting the Param, create a list of the indexed param names
+
+            # save Param values
             vals = theta_object.extract_values()
-            param_theta_objects = []
-            for theta_obj in theta_object:
-                indexed_param_name = theta_object.name + '[' + str(theta_obj) + ']'
-                theta_cuid = ComponentUID(indexed_param_name)
-                param_theta_objects.append(theta_cuid.find_component_on(model))
-                indexed_param_names.append(indexed_param_name)
 
+            # get indexed Params
+            param_theta_objects = [theta_obj for _, theta_obj in theta_object.items()]
+
+            # get indexed Param names
+            indexed_param_CUIDs += [
+                ComponentUID(theta_obj) for _, theta_obj in theta_object.items()
+            ]
+
+            # delete Param
             model.del_component(theta_object)
 
+            # add Var w/ previous Param values
             index_name = theta_object.index_set().name
             index_cuid = ComponentUID(index_name)
             index_object = index_cuid.find_component_on(model)
@@ -94,13 +108,9 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
             theta_var_cuid = ComponentUID(theta_object.name)
             theta_var_object = theta_var_cuid.find_component_on(model)
             comp_map[theta_object] = theta_var_object
-            var_theta_objects = []
-            for theta_obj in theta_var_object:
-                theta_cuid = ComponentUID(
-                    theta_var_object.name + '[' + str(theta_obj) + ']'
-                )
-                var_theta_objects.append(theta_cuid.find_component_on(model))
-
+            var_theta_objects = [
+                var_theta_obj for _, var_theta_obj in theta_var_object.items()
+            ]
             for param_theta_obj, var_theta_obj in zip(
                 param_theta_objects, var_theta_objects
             ):
@@ -124,14 +134,14 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
     if len(substitution_map) == 0:
         return model
 
-    # Update the list of param_names if the parameters were indexed
-    if len(indexed_param_names) > 0:
-        param_names = indexed_param_names
+    # Update the list of param_CUIDs if the parameters were indexed
+    if len(indexed_param_CUIDs) > 0:
+        param_CUIDs = indexed_param_CUIDs
 
     # Convert Params to Vars in Expressions
     for expr in model.component_data_objects(pyo.Expression):
         if expr.active and any(
-            v.name in param_names for v in identify_mutable_parameters(expr)
+            ComponentUID(v) in param_CUIDs for v in identify_mutable_parameters(expr)
         ):
             new_expr = replace_expressions(expr=expr, substitution_map=substitution_map)
             model.del_component(expr)
@@ -143,7 +153,8 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
         model.constraints = pyo.ConstraintList()
         for c in model.component_data_objects(pyo.Constraint):
             if c.active and any(
-                v.name in param_names for v in identify_mutable_parameters(c.expr)
+                ComponentUID(v) in param_CUIDs
+                for v in identify_mutable_parameters(c.expr)
             ):
                 if c.equality:
                     model.constraints.add(
@@ -181,7 +192,7 @@ def convert_params_to_vars(model, param_names=None, fix_vars=False):
     # Convert Params to Vars in Objective expressions
     for obj in model.component_data_objects(pyo.Objective):
         if obj.active and any(
-            v.name in param_names for v in identify_mutable_parameters(obj)
+            ComponentUID(v) in param_CUIDs for v in identify_mutable_parameters(obj)
         ):
             expr = replace_expressions(expr=obj.expr, substitution_map=substitution_map)
             model.del_component(obj)