Add test for SUEWS configuration YAML-DataFrame conversion cycle

- Implemented a new test method to verify SUEWS configuration conversion between YAML and DataFrame formats
- Checks preservation of key configuration attributes during conversion
- Ensures DataFrame conversion maintains the original configuration structure

test/test_supy.py

@@ -150,14 +150,8 @@ def test_is_supy_sim_save_multi_grid_par(self):
 
         # only print to screen on macOS due incompatibility on Windows
         if platform.system() == "Darwin":
-            # capturedOutput = io.StringIO()  # Create StringIO object
-            # sys.stdout = capturedOutput  # and redirect stdout.
-            # Call function.
             n_grid = df_state_init_multi.index.size
             print(f"Running time: {t_end-t_start:.2f} s for {n_grid} grids")
-            # sys.stdout = sys.__stdout__  # Reset redirect.
-            # Now works as before.
-            # print("Captured:\n", capturedOutput.getvalue())
 
         test_non_empty = np.all(
             [
@@ -188,13 +182,6 @@ def test_is_flag_test_working(self):
     #     df_state_init, df_forcing_tstep = sp.load_SampleData()
     #     df_forcing_part = df_forcing_tstep.iloc[: 12*8]
 
-    #     # output group for testing
-    #     list_grp_test = [
-    #         "SUEWS",
-    #         # "DailyState",
-    #         "RSL",
-    #     ]
-
     # # single-step results
     # df_output_s, df_state_s = sp.run_supy(
     #     df_forcing_part, df_state_init, save_state=True
@@ -428,3 +415,40 @@ def test_water_balance_closed(self):
         test_dif = (ser_totalstore_change-ser_water_balance).abs().max() < 1e-6
         self.assertTrue(test_dif)
 
+    def test_config_conversion_cycle(self):
+        """Test if SUEWS configuration can be correctly converted between YAML and DataFrame formats."""
+        print("\n========================================")
+        print("Testing YAML-DataFrame-YAML conversion cycle for SUEWS configuration...")
+
+        # Get path to sample config from supy package
+        import supy as sp
+        from pathlib import Path
+        path_sample_config = Path(sp.__file__).parent / "sample_run" / "sample_config.yml"
+
+        # Load sample config from YAML
+        config_orig = sp.util._config.init_config_from_yaml(path_sample_config)
+
+        # Convert to DataFrame
+        df_state = config_orig.to_df_state()
+
+        # Convert back to config object
+        config_reconst = sp.util._config.SUEWSConfig.from_df_state(df_state)
+
+        # Compare the two configs
+        # We'll compare a few key attributes as a basic test
+        self.assertEqual(config_orig.name, config_reconst.name)
+        self.assertEqual(config_orig.description, config_reconst.description)
+        self.assertEqual(config_orig.model.control.tstep, config_reconst.model.control.tstep)
+        self.assertEqual(
+            config_orig.model.physics.netradiationmethod.value,
+            config_reconst.model.physics.netradiationmethod.value
+        )
+        self.assertEqual(
+            config_orig.site[0].properties.lat.value,
+            config_reconst.site[0].properties.lat.value
+        )
+
+        # Test if DataFrame conversion preserves structure
+        df_state_2 = config_reconst.to_df_state()
+        pd.testing.assert_frame_equal(df_state, df_state_2)
+