From 3f9fa0bbc796a056d2bd8c55f374a0147d62a969 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Rene=20Ka=C3=9Feb=C3=B6hmer?=
 <rene.kasseboehmer@vaillant.de>
Date: Thu, 17 Apr 2025 11:25:46 +0200
Subject: [PATCH] small changes

---
 .gitignore                                     |  3 ++-
 .../2_transform_via_script/TransformScript.py  | 18 ++++++++----------
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/.gitignore b/.gitignore
index 39cd467..1391517 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,4 +20,5 @@ PricebookEntry.csv
 SCInstalledBaseLocation__c.csv
 SCPriceList__c.csv
 SCPriceListItem__c.csv
-results/
\ No newline at end of file
+results/
+mapping.csv
\ No newline at end of file
diff --git a/prepared_steps/2_transform_via_script/TransformScript.py b/prepared_steps/2_transform_via_script/TransformScript.py
index 854b065..9773797 100644
--- a/prepared_steps/2_transform_via_script/TransformScript.py
+++ b/prepared_steps/2_transform_via_script/TransformScript.py
@@ -21,17 +21,9 @@ for row in read_df.to_dict('records'):
         print(f'KeyError: {e}')
 
 # Columns for reindexing
-#"Id","City__c","Country__c","GeoY__c","GeoX__c","PostalCode__c","Street__c","Extension__c","HouseNo__c","FlatNo__c","Floor__c"
 reindex_columns = ['Id','City__c','Country__c','GeoY__c','GeoX__c','PostalCode__c','Street__c','Extension__c','HouseNo__c','FlatNo__c','Floor__c']
-# ArticleNo__c,CommissioningDate__c,Id,InstallationDate__c,InstalledBaseLocation__c,InstalledBaseLocation__r.Id,Name,ProductEnergy__c,ProductUnitClass__c,ProductUnitType__c,SerialNo__c,SerialNoException__c
-#"Id","Name","CommissioningDate__c","InstallationDate__c","ProductEnergy__c","ProductUnitClass__c","ArticleNo__c","SerialNo__c","SerialNoException__c","ProductUnitType__c","InstalledBaseLocation__c"
 reindex_columns_ib = ['Id','Name','CommissioningDate__c','InstallationDate__c','ProductEnergy__c','ProductUnitClass__c','ArticleNo__c','SerialNo__c','SerialNoException__c','ProductUnitType__c','InstalledBaseLocation__c']
-#reindex_columns_ib = ['ArticleNo__c','CommissioningDate__c','Id','InstallationDate__c','InstalledBaseLocation__c','InstalledBaseLocation__r.Id','Name','ProductEnergy__c','ProductUnitClass__c','ProductUnitType__c','SerialNo__c','SerialNoException__c']
-# EAN_Product_Code__c,Family,Id,Main_Product_Group__c,MaterialType__c,Name,Product_Code__c,ProductCode
-#"Id","Main_Product_Group__c","Family","MaterialType__c","Name","Product_Code__c","ProductCode","EAN_Product_Code__c"
 reindex_columns_product2 = ['Id','Main_Product_Group__c','Family','MaterialType__c','Name','Product_Code__c','ProductCode','EAN_Product_Code__c']
-#reindex_columns_product2 = ['EAN_Product_Code__c','Family','Id','Main_Product_Group__c','MaterialType__c','Name','Product_Code__c','ProductCode']
-#"Id","InstalledBaseLocation__c","Role__c","ValidFrom__c","ValidTo__c","Account__c"
 reindex_columns_ibr = ['Id', 'InstalledBaseLocation__c', 'Role__c', 'ValidFrom__c', 'ValidTo__c', 'Account__c']
 reindex_columns_pricelist = ['Id', 'Name', 'Brand__r.Name', 'Country__c']
 reindex_columns_pricelistitem = ['Id', 'Article__r.Name', 'Article__r.EANCode__c', 'Price__c', 'PriceUnit__c', 'Pricelist__c', 'ValidFrom__c', 'ValidTo__c', 'Pricelist__r.Brand__r.Name', 'Pricelist__r.Country__c']
@@ -44,6 +36,10 @@ df_ibr = read_df_ibr.reindex(reindex_columns_ibr, axis=1)
 df_pricelist = read_df_pricelist.reindex(reindex_columns_pricelist, axis=1)
 df_pricelistitem = read_df_pricelistitem.reindex(reindex_columns_pricelistitem, axis=1)
 
+##--------------------------------------------------------------------------##
+## Address and Location (Parent and Child)
+##--------------------------------------------------------------------------##
+
 #creating street column
 # Concatenate 'Street__c' and 'HouseNo__c' to create the 'Street' column
 df['Street'] = (
@@ -254,7 +250,9 @@ for index, row in tqdm(merged_df_ib.iterrows(), total=len(merged_df_ib)):
         if product_group not in valid_groups:
             merged_df_ib.loc[index, 'Kind_of_Energy__c'] = None  # or set to empty string
 
-
+##--------------------------------------------------------------------------##
+## Pricebook2 and PricebookEntry
+##--------------------------------------------------------------------------##
 
 # Pricelist to Pricebook2
 columns_pricebook2 = ['Id', 'Name', 'Brand__c', 'Country__c']
@@ -307,4 +305,4 @@ df_pricelistitem.to_csv('../11_insert_pricebook2_and_pricebookentries/PricebookE
 
 ## end mapping
 
-print('Data has been successfully split into Address.csv, Parent_Location.csv, and Child_Location.csv files with duplicate checks applied.')
\ No newline at end of file
+print('Data has been successfully transformed and saved to CSV files.')
\ No newline at end of file