added tbc pseudo code

dimAccounts.py

@@ -0,0 +1,60 @@
+# This file is used to define the dimension table for the accounts table
+# The accounts table contains information about the accounts in the budget
+# The accounts table has the following columns:
+# - id: the unique identifier for the account
+# - name: the name of the account
+# - type: the type of the account (e.g. checking, savings, credit card)
+# - on_budget: a boolean indicating whether the account is on budget
+# - closed: a boolean indicating whether the account is closed
+# - note: a note associated with the account
+# - balance: the current balance of the account
+# - cleared_balance: the cleared balance of the account
+# - uncleared_balance: the uncleared balance of the account
+# - deleted: a boolean indicating whether the account has been deleted
+
+
+# the below is mega tbc
+
+import pandas as pd
+from datetime import datetime
+
+def handle_scd_type_2(dim_accounts_df, new_data_df):
+    current_date = datetime.now().date()
+    
+    for index, new_row in new_data_df.iterrows():
+        account_id = new_row['account_id']
+        existing_rows = dim_accounts_df[dim_accounts_df['account_id'] == account_id]
+        
+        if existing_rows.empty:
+            # Insert new record
+            new_row['start_date'] = current_date
+            new_row['end_date'] = None
+            new_row['is_current'] = True
+            dim_accounts_df = dim_accounts_df.append(new_row, ignore_index=True)
+        else:
+            current_row = existing_rows[existing_rows['is_current'] == True].iloc[0]
+            if not new_row.equals(current_row.drop(['surrogate_key', 'start_date', 'end_date', 'is_current'])):
+                # Update existing record to set is_current to False and end_date
+                dim_accounts_df.loc[current_row.name, 'is_current'] = False
+                dim_accounts_df.loc[current_row.name, 'end_date'] = current_date
+                
+                # Insert new record
+                new_row['start_date'] = current_date
+                new_row['end_date'] = None
+                new_row['is_current'] = True
+                dim_accounts_df = dim_accounts_df.append(new_row, ignore_index=True)
+    
+    return dim_accounts_df
+
+# Example usage
+dim_accounts_df = pd.DataFrame(columns=[
+    'surrogate_key', 'account_id', 'account_name', 'account_type', 'on_budget', 'closed', 'note', 
+    'balance', 'cleared_balance', 'uncleared_balance', 'deleted', 'start_date', 'end_date', 'is_current'
+])
+
+new_data_df = pd.DataFrame([
+    {'account_id': 1, 'account_name': 'Checking Account', 'account_type': 'checking', 'on_budget': True, 'closed': False, 'note': '', 'balance': 1000.00, 'cleared_balance': 1000.00, 'uncleared_balance': 0.00, 'deleted': False},
+    {'account_id': 2, 'account_name': 'Savings Account', 'account_type': 'savings', 'on_budget': True, 'closed': False, 'note': '', 'balance': 5000.00, 'cleared_balance': 5000.00, 'uncleared_balance': 0.00, 'deleted': False}
+])
+
+dim_accounts_df = handle_scd_type_2(dim_accounts_df, new_data_df)