Export complete

prepared_steps/1/export.json

@@ -1,14 +0,0 @@
-{
-    "allOrNone": true,
-    "objects": [
-        {
-            "query": "SELECT Id, City__c, Country__c, GeoY__c, GeoX__c, PostalCode__c, Street__c, Extension__c, HouseNo__c, FlatNo__c, Floor__c FROM SCInstalledBaseLocation__c WHERE Country__c = 'NL' limit 1",
-            "externalId": "Id"
-        },
-        {
-            "query": "SELECT Id, Name, CommissioningDate__c,InstallationDate__c,ProductEnergy__c, ProductUnitClass__c,ArticleNo__c,SerialNo__c, SerialNoException__c, ProductUnitType__c, InstalledBaseLocation__c  FROM SCInstalledBase__c WHERE Country__c = 'NL' limit 1",
-            "externalId": "Id"
-        }
-
-    ]
-}

prepared_steps/1_extract_data/export.json

@@ -0,0 +1,53 @@
+{
+    "allOrNone": true,
+    "useSeparatedCSVFiles": true,
+    "pollingQueryTimeoutMs": 1000000,
+    "bulkApiVersion": "2.0",
+    "parallelRestJobs": 2,
+    "objectSets": [
+        {
+            "objects": [
+                {
+                    "query": "SELECT Id, City__c, Country__c, GeoY__c, GeoX__c, PostalCode__c, Street__c, Extension__c, HouseNo__c, FlatNo__c, Floor__c FROM SCInstalledBaseLocation__c WHERE Country__c = 'NL'",
+                    "externalId": "Name",
+                    "operation": "Readonly"
+                }
+            ]
+        },{
+            "objects": [
+                {
+                    "query": "SELECT Id, Name, CommissioningDate__c,InstallationDate__c,ProductEnergy__c, ProductUnitClass__c,ArticleNo__c,SerialNo__c, SerialNoException__c, ProductUnitType__c, InstalledBaseLocation__c  FROM SCInstalledBase__c WHERE Country__c = 'NL'",
+                    "externalId": "Name",
+                    "operation": "Readonly",
+                    "excludedFromUpdateFields": ["InstalledBaseLocation__c"]
+                }
+            ]
+        },{
+            "objects": [
+                {
+                    "query": "SELECT Id, Serialnumber FROM Asset WHERE Location.ParentLocation.Name LIKE '%NL'",
+                    "externalId": "Name",
+                    "operation": "Readonly"
+                }
+            ]
+        },{
+            "objects": [
+                {
+                    "query": "SELECT Id, Country, CountryCode, Street, City, ParentId PostalCode FROM Address WHERE CountryCode = 'NL'",
+                    "externalId": "Name",
+                    "operation": "Readonly",
+                    "excludedFields": ["ParentId"]
+                }
+            ]
+
+        },{
+            "objects": [
+                {
+                    "query": "SELECT Id, ParentLocationId, Name FROM Location WHERE Name LIKE '%NL' OR ParentLocation.Name = '%NL'",
+                    "externalId": "Name",
+                    "operation": "Readonly"
+                }
+            ]
+        }
+    ]
+}

prepared_steps/2_transform_via_script/LocationScript.py

@@ -5,8 +5,8 @@ country_mapping = {
     }   
 
 # Read the input CSV file, assuming the second row is the header
-read_df = pd.read_csv('../1/SCInstalledBaseLocation__c.csv', header=0, keep_default_na=False, dtype=str)
-read_df_ib = pd.read_csv('../1/SCInstalledBase__c.csv', header=0, keep_default_na=False, dtype=str)
+read_df = pd.read_csv('../1_extract_data/SCInstalledBaseLocation__c.csv', header=0, keep_default_na=False, dtype=str)
+read_df_ib = pd.read_csv('../1_extract_data/SCInstalledBase__c.csv', header=0, keep_default_na=False, dtype=str)
 for row in read_df.to_dict('records'):
     try:
         # Your processing logic here
@@ -154,9 +154,9 @@ print(merged_df_ib.columns)
 merged_df_ib.columns = ['Product2.EAN_Product_Code__c', 'FSL_1st_Ignition_Date__c', 'Id', 'InstallDate',  'Name', 'Kind_of_Energy__c', 'Kind_of_Installation__c', 'Main_Product_Group__c', 'SerialNumber', 'Serialnumber_Exception__c', 'Location.ExternalReference'] 
 
 # Write each DataFrame to a separate CSV file
-address_df.to_csv('../3/Address.csv', index=False)
-parent_df.to_csv('../3/Location.csv', index=False)
-child_df.to_csv('../5/Location.csv', index=False)
-merged_df_ib.to_csv('../7/Asset.csv', index=False)
+address_df.to_csv('../3_upsert_address_and_parent_location/Address.csv', index=False)
+parent_df.to_csv('../3_upsert_address_and_parent_location/Location.csv', index=False)
+child_df.to_csv('../5_upsert_child_location/Location.csv', index=False)
+merged_df_ib.to_csv('../7_upsert_assets/Asset.csv', index=False)
 
 print('Data has been successfully split into Address.csv, Parent_Location.csv, and Child_Location.csv files with duplicate checks applied.')

prepared_steps/3/Location.csv

@@ -1,2 +0,0 @@
-Name,DuplicateCheck__c,IsInventoryLocation,IsMobile,LocationType
-"Plantsoen de Pas 12, 6601 BK WIJCHEN, NL",false,false,false,Site

prepared_steps/7_upsert_assets/ValueMapping.csv

@@ -0,0 +1,2 @@
+ObjectName,FieldName,RawValue,Value
+Asset,Kind_of_Energy__c,2,