now allows downloading, defaults include health care and better leave calc. This is probably good enough now, so I have also saved a snapshot/csv of the data

main.py

@@ -1,7 +1,7 @@
 # main.py
 from flask import Flask, render_template, request, redirect, url_for, Response
 from calc import calculate_savings_depletion
-from db import init_db, get_finance_data, update_finance
+from db import init_db, get_finance_data, update_finance, get_budget_data
 from collections import defaultdict
 from datetime import datetime
 import csv
@@ -16,16 +16,10 @@ init_db()
 def index():
     finance_data = get_finance_data()
     depletion_date, savings_per_fortnight, final_savings, TLS, CBA = calculate_savings_depletion(finance_data)
+    BUDGET=get_budget_data(finance_data, CBA, TLS)
     if depletion_date:
         depletion_date=depletion_date.date(); # just show date
 
-    # annual bills - rates (2.4), electricity (1.5), gas (2), internet (1.6), car insurance (.7), rego (.8), house insurance (2.4), GFC (2.2), phones (.5), melb. pollen (.03), nabu casa (.1), eweka (.1)  --- noting phone is elevated presuming I also go onto Aldi plan, but that there is no family discount
-    bills = 14330
-    BUDGET=[]
-    BUDGET.append( ('Bills', f"${bills:,.2f}") )
-    BUDGET.append( ('Buffer', f"${CBA*finance_data['CBA_price']:,.2f}") )
-    BUDGET.append( ('Monthly budget', f"${((finance_data['Living_Expenses']-12000) / 12):,.2f}" ) )
-    BUDGET.append( ('Weekly budget', f"${((finance_data['Living_Expenses']-12000) / 52):,.2f}" ) )
     return render_template('index.html', finance=finance_data, depletion_date=depletion_date, savings=savings_per_fortnight, TLS=TLS, CBA=CBA, BUDGET=BUDGET)
 
 @app.route('/update', methods=['POST'])
@@ -65,6 +59,7 @@ def download_csv():
 
     finance_data = get_finance_data()
     depletion_date, savings_per_fortnight, final_savings, TLS, CBA = calculate_savings_depletion(finance_data)
+    BUDGET=get_budget_data(finance_data, CBA, TLS)
 
     # Group data by year
     data_by_year = defaultdict(list)
@@ -78,6 +73,10 @@ def download_csv():
     # Sort years for column ordering
     years = sorted(data_by_year.keys())
 
+    # get finance data into a list for spitting out during csv last column dump
+    fd_lst = list(finance_data.items())
+    fd_lst[0]=('Variable', 'Value')
+
     # Create an in-memory output file
     output = io.StringIO()
     
@@ -91,6 +90,7 @@ def download_csv():
     writer.writerow(header)
 
     # Write the data rows
+    cnt=0
     for i in range(max_entries_per_year):
         row = []
         for year in years:
@@ -100,8 +100,26 @@ def download_csv():
                 row.extend([date, value])
             else:
                 row.extend(["", ""])  # If no data for this year, leave blank cells
+
+        # spacer
+        row.extend([""]) 
+
+        # now add budget data
+        if cnt < len(BUDGET):
+            row.extend( BUDGET[cnt] )
+        else:
+            row.extend(["", ""])  # If no data for this year, leave blank cells
+
+        # spacer
+        row.extend([""]) 
+
+        # now add reference data
+        if cnt < len(fd_lst):
+            row.extend(fd_lst[cnt])
         writer.writerow(row)
 
+        cnt += 1
+
     csv_data = output.getvalue()
 
     # Create a Flask Response object, with CSV mime type and downloadable as a file