Update imports_utils.py

imports_utils.py

@@ -128,15 +128,20 @@ def get_page_by_id(notion_db_pages, page_id):
 def fetchDomainMapper (luAttributePages):
         
     lu_domain_mapper ={}
-    subdomains_unique = []
+    #subdomains_unique = []
     
     for page in luAttributePages:
         value_landuse = get_property_value(page, landuseColumnName)
         value_subdomain = get_property_value(page, subdomainColumnName)
+        origin =  "false" if not get_property_value(page, "is_origin_mask") else get_property_value(page, "is_origin_mask")
         if value_subdomain and value_landuse:
-            lu_domain_mapper[value_landuse] = value_subdomain
-        if value_subdomain != "":
-            subdomains_unique.append(value_subdomain)
+            lu_domain_mapper[value_landuse] = {
+            'subdomain livability': value_subdomain,
+            'is origin': origin
+            }
+            #lu_domain_mapper[value_landuse] = value_subdomain
+        #if value_subdomain != "":
+            #subdomains_unique.append(value_subdomain)
        
     #subdomains_unique = list(set(subdomains_unique))
     return lu_domain_mapper
@@ -212,8 +217,8 @@ def landusesToSubdomains(DistanceMatrix, LanduseDf, LanduseToSubdomainDict, Uniq
     df_LivabilitySubdomainsArea = pd.DataFrame(0, index=DistanceMatrix.index, columns=UniqueSubdomainsList)
 
     for subdomain in UniqueSubdomainsList:
-        for lu, lu_subdomain in LanduseToSubdomainDict.items():
-            if lu_subdomain == subdomain:
+        for lu, attributes in LanduseToSubdomainDict.items():
+            if attributes["subdomain livability"] == subdomain:
                 if lu in LanduseDf.columns:
                     if LanduseDf[lu].notna().any(): 
                         df_LivabilitySubdomainsArea[subdomain] = df_LivabilitySubdomainsArea[subdomain].add(LanduseDf[lu], fill_value=0)