diff --git a/mpcpy/optimization.py b/mpcpy/optimization.py index 503c5c4..56fa70f 100755 --- a/mpcpy/optimization.py +++ b/mpcpy/optimization.py @@ -602,14 +602,23 @@ def _simulate_initial(self, Optimization): ''' - # Set Exogenous + # Update exogenous except constraints self.weather_data = self.Model.weather_data; self.internal_data = self.Model.internal_data; self.control_data = self.Model.control_data; + # Update constraints if type(Optimization._problem_type) is _ParameterEstimate: self.other_inputs = self.Model.other_inputs; self.opt_input_names = self._init_input_names; - # Otherwise inputs set by write control mop + else: + for key in Optimization.constraint_data.keys(): + for field in Optimization.constraint_data[key]: + if field != 'Cyclic' and field != 'Final' and field != 'Initial': + key_new = key.replace('.', '_') + '_' + field; + if key_new not in self.other_inputs.keys(): + raise ValueError ('New constraint {0} found. The optimization problem needs to be re-instantiated to use this constraint.'.format(key_new)) + else: + self.other_inputs[key_new] = Optimization.constraint_data[key][field]; # Set parameters self.parameter_data = {}; for key in self.Model.parameter_data.keys(): diff --git a/unittests/references/test_optimization/OptimizeSimpleFromJModelica/optimize_control_default_updated_constraints.csv b/unittests/references/test_optimization/OptimizeSimpleFromJModelica/optimize_control_default_updated_constraints.csv new file mode 100644 index 0000000..15da7b7 --- /dev/null +++ b/unittests/references/test_optimization/OptimizeSimpleFromJModelica/optimize_control_default_updated_constraints.csv @@ -0,0 +1,146 @@ +Time,q_flow +2017-01-11 00:00:00+00:00,2.2672949739899195e-06 +2017-01-11 00:04:39.091846+00:00,528.9321462294566 +2017-01-11 00:19:20.908154+00:00,1218.83179834123 +2017-01-11 00:30:00+00:00,787.089244327407 +2017-01-11 00:34:39.091846+00:00,1034.3795733756233 +2017-01-11 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23:34:39.091846+00:00,289.999999993194,1295.37819255803 +2017-01-11 23:49:20.908154+00:00,289.999999992348,1231.45934066696 +2017-01-12 00:00:00+00:00,289.999999991804,1184.99999787635 diff --git a/unittests/resources/model/SimpleRC_Input.csv b/unittests/resources/model/SimpleRC_Input.csv index d27ad8b..6c38e70 100644 --- a/unittests/resources/model/SimpleRC_Input.csv +++ b/unittests/resources/model/SimpleRC_Input.csv @@ -11,3 +11,5 @@ Time,q_flow_csv 01/08/17,100 01/09/17,100 01/10/17,100 +01/11/17,100 +01/12/17,100 diff --git a/unittests/resources/optimization/SimpleRC_Constraints.csv b/unittests/resources/optimization/SimpleRC_Constraints.csv index 2e65666..c3fe81d 100644 --- a/unittests/resources/optimization/SimpleRC_Constraints.csv +++ b/unittests/resources/optimization/SimpleRC_Constraints.csv @@ -11,3 +11,5 @@ Time,q_flow_min,T_db_min,T_db_max 01/08/17,0,293,298 01/09/17,0,293,298 01/10/17,0,293,298 +01/11/17,0,290,300 +01/12/17,0,290,300 diff --git a/unittests/test_optimization.py b/unittests/test_optimization.py index 3a45294..93544de 100755 --- a/unittests/test_optimization.py +++ b/unittests/test_optimization.py @@ -402,6 +402,50 @@ def test_optimize_long(self): df_test.index.name = 'Time' self.check_df(df_test, 'optimize_long_control.csv'); + def test_update_constraints(self): + '''Test the updating of constraints in the optimization. + + ''' + + modelpath = 'Simple.RC'; + # Instantiate model + model = models.Modelica(models.JModelica, \ + models.RMSE, \ + self.measurements, \ + moinfo = (self.mopath, modelpath, {}), \ + control_data = self.controls.data); + # Instantiate optimization problem + opt_problem = optimization.Optimization(model, \ + optimization.EnergyMin, \ + optimization.JModelica, \ + 'q_flow', \ + constraint_data = self.constraints.data); + # Solve optimization problem with default constraints + opt_problem.optimize(self.start_time, self.final_time); + # Check references + df_test = opt_problem.display_measurements('Simulated'); + self.check_df(df_test, 'optimize_measurements.csv'); + df_test = model.control_data['q_flow'].display_data().to_frame(); + df_test.index.name = 'Time' + self.check_df(df_test, 'optimize_control_default.csv'); + # Update constraints and control data + self.constraints.collect_data('1/11/2017', '1/12/2017'); + opt_problem.constraint_data = self.constraints.data; + self.controls.collect_data('1/11/2017', '1/12/2017'); + # Solve optimization problem with updated constraints + opt_problem.optimize('1/11/2017', '1/12/2017'); + # Check references + df_test = opt_problem.display_measurements('Simulated'); + self.check_df(df_test, 'optimize_measurements_updated_constraints.csv'); + df_test = model.control_data['q_flow'].display_data().to_frame(); + df_test.index.name = 'Time' + self.check_df(df_test, 'optimize_control_default_updated_constraints.csv'); + # Check new constraint key raises error + self.constraints.data['New_Constraint'] = opt_problem.constraint_data['q_flow'] + opt_problem.constraint_data = self.constraints.data + with self.assertRaises(ValueError): + opt_problem.optimize('1/11/2017', '1/12/2017'); + #%% Temperature tests class OptimizeAdvancedFromJModelica(TestCaseMPCPy): '''Tests for the optimization of a model using JModelica.