fix issue of the vulnerability curves with the same name but differen…

hydromt_fiat/fiat.py

@@ -281,7 +281,7 @@ def setup_exposure_buildings(
         unit: str,
         occupancy_type_field: Union[str, None] = None,
         extraction_method: str = "centroid",
-        damage_types: Union[List[str], None] = ["structure", "content"],
+        damage_types: List[str] = ["structure", "content"],
         country: Union[str, None] = None,
     ) -> None:
         """Setup building exposure (vector) data for Delft-FIAT.

hydromt_fiat/workflows/exposure_vector.py

@@ -979,6 +979,13 @@ def link_exposure_vulnerability(
         exposure_linking_table: pd.DataFrame,
         damage_types: Optional[List[str]] = ["Structure", "Content"],
     ):
+        exposure_linking_table["Damage function name"] = [
+            name + "_" + type
+            for name, type in zip(
+                exposure_linking_table["FIAT Damage Function Name"].values,
+                exposure_linking_table["Damage Type"].values,
+            )
+        ]
         for damage_type in damage_types:
             linking_per_damage_type = exposure_linking_table.loc[
                 exposure_linking_table["Damage Type"] == damage_type, :
@@ -989,7 +996,7 @@ def link_exposure_vulnerability(
             linking_dict = dict(
                 zip(
                     linking_per_damage_type["Exposure Link"],
-                    linking_per_damage_type["FIAT Damage Function Name"],
+                    linking_per_damage_type["Damage function name"],
                 )
             )
             unique_linking_types = set(linking_dict.keys())

hydromt_fiat/workflows/vulnerability.py

@@ -288,23 +288,27 @@ def create_step_function(
         max_hazard_value: float = 10,
         step_hazard_value: float = 1.0,
     ):
-    #list before threshold
+        # list before threshold
         if threshold_value <= 1:
-            list_bt = np.arange(min_hazard_value,threshold_value, 0.01).tolist()
+            list_bt = np.arange(min_hazard_value, threshold_value, 0.01).tolist()
             del list_bt[1:-1]
             list_bt.append(threshold_value)
         else:
-            list_bt = np.arange(0,threshold_value, step_hazard_value).tolist()
-            list_bt.append(threshold_value-0.01)
+            list_bt = np.arange(0, threshold_value, step_hazard_value).tolist()
+            list_bt.append(threshold_value - 0.01)
             list_bt.append(threshold_value)
-        list_bt =  [ round(elem, 2) for elem in list_bt]
+        list_bt = [round(elem, 2) for elem in list_bt]
 
         # list after threshold
-        list_at = np.arange(math.ceil(threshold_value), max_hazard_value+1, step_hazard_value).tolist()
+        list_at = np.arange(
+            math.ceil(threshold_value), max_hazard_value + 1, step_hazard_value
+        ).tolist()
         # merge list before and after threshold
-        hazard_values = list_bt +list_at
+        hazard_values = list_bt + list_at
         # create fraction_values
-        fraction_values = [0 if value < threshold_value else 1 for value in hazard_values]
+        fraction_values = [
+            0 if value < threshold_value else 1 for value in hazard_values
+        ]
 
         self.add(name, hazard_values, fraction_values)
 
@@ -346,7 +350,13 @@ def get_vulnerability_functions_from_one_file(
         if vulnerability_values.max() > 1:
             vulnerability_values = vulnerability_values / 100
 
-        vf_names = df_identifiers_linking["FIAT Damage Function Name"].values
+        vf_names = [
+            name + "_" + type
+            for name, type in zip(
+                df_identifiers_linking["FIAT Damage Function Name"].values,
+                df_identifiers_linking["Damage Type"].values,
+            )
+        ]
 
         self.add_multiple(vf_names, hazard_values, vulnerability_values)
 

tests/test_vulnerability_exposure.py

@@ -55,7 +55,7 @@
                 "asset_locations": "NSI",
                 "occupancy_type": "NSI",
                 "max_potential_damage": "NSI",
-                "damage_types": ["structure"],
+                "damage_types": ["structure", "content"],
                 "ground_floor_height": "NSI",
                 "unit": "ft",
             },
@@ -84,8 +84,8 @@
                 "asset_locations": "NSI",
                 "occupancy_type": "NSI",
                 "max_potential_damage": "NSI",
-                "damage_types": ["structure"],
-                "ground_floor_height": 1,
+                "damage_types": ["structure", "content"],
+                "ground_floor_height": "NSI",
                 "unit": "ft",
             },
             "setup_social_vulnerability_index": {