initial commit of finplan - works, with basic csv dump, need to remove unneeded variables, reformat and improve csv next
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calc.py
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179
calc.py
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# calc.py
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from datetime import datetime, timedelta
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def calculate_savings_depletion(finance):
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# Extract all the financial data from the database
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D_Salary = finance['D_Salary']
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M_salary = finance['M_salary']
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D_Num_fortnights_pay = finance['D_Num_fortnights_pay']
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M_Num_fortnights_pay = finance['M_Num_fortnights_pay']
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School_Fees = finance['School_Fees']
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Car_loan_via_pay = finance['Car_loan_via_pay']
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Car_loan = finance['Car_loan']
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Car_balloon = finance['Car_balloon']
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Living_Expenses = finance['Living_Expenses']
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Savings = finance['Savings']
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Interest_Rate = finance['Interest_Rate']
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Inflation = finance['Inflation']
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M_payout = finance['M_payout']
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Mich_present = finance['Mich_present']
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Overseas_trip = finance['Overseas_trip']
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Mark_reno = finance['Mark_reno']
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D_leave_owed_in_days = finance['D_leave_owed_in_days']
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Sell_shares = finance['Sell_shares']
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D_TLS_shares = finance['D_TLS_shares']
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M_TLS_shares = finance['M_TLS_shares']
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D_CBA_shares = finance['D_CBA_shares']
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TLS_price = finance['TLS_price']
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CBA_price = finance['CBA_price']
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# leave in days, 10 business days to a fortnight, salary is per fortnight, and we lose 37% to tax
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# (assuming we don't earn over $180k)
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D_leave_after_tax = (D_leave_owed_in_days/10) * D_Salary * 0.63;
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# Constants for interest calculations
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annual_interest_rate = Interest_Rate / 100.0
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daily_interest_rate = annual_interest_rate / 365
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# Time periods: start from now, and simulate till D is 65 (April 25)
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current_date = datetime.now()
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end_date = datetime(2031, 4, 15)
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# Fortnightly pay
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car_loan_via_pay = Car_loan_via_pay # Fortnightly payment while income is paid
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regular_car_loan = Car_loan # Fortnightly payment after salary ends
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# Calculate daily living expenses
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daily_living_expenses = Living_Expenses / 365
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# Start the calculation
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current_savings = Savings
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depletion_date = None
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savings_per_fortnight = []
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# significant dates that are non-changeable
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school_fees_date = datetime(2025, 12, 5)
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car_balloon_date = datetime(2026, 11, 15)
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mich_present_date = datetime(2026,10,15)
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# significant dates - but who knows when? :)
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overseas_trip_date = datetime.strptime( finance['Overseas_trip_date'], "%Y-%m-%d")
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mark_reno_date = datetime.strptime( finance['Mark_reno_date'], "%Y-%m-%d")
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M_payout_date = datetime.strptime( finance['M_payout_date'], "%Y-%m-%d")
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# to force deakin pay cycles to match reality, we work from the 8th of Jan as our "day-zero" so we are paid on the 8/1/25, 22/1/25, etc.
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days_count = ( current_date - datetime(2025,1,1) ).days
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# Track the fortnight, and monthly interest
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fortnight_income = 0
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monthly_interest = 0
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while current_date <= end_date:
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#paid on 8th or 22nd of Jan (so 8th day of fortnight)
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is_fortnight = (days_count % 14 == 7)
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is_end_of_month = (current_date.day == 1)
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# Subtract daily living expenses
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current_savings -= daily_living_expenses
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# Calculate daily interest but apply at the end of the month
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monthly_interest += current_savings * daily_interest_rate
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# Apply fortnightly salary and handle car loan deduction
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if is_fortnight:
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if D_Num_fortnights_pay > 0:
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fortnight_income += D_Salary
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D_Num_fortnights_pay -= 1
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if M_Num_fortnights_pay > 0:
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fortnight_income += M_salary
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M_Num_fortnights_pay -= 1
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if D_Num_fortnights_pay == 0 and D_leave_after_tax > 0:
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print(f"D has resigned {current_date}: get paid out my 9 weeks leave and lose 45% to tax - ${D_leave_after_tax}" )
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current_savings += D_leave_after_tax
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D_leave_after_tax = 0
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if fortnight_income:
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print(f"salary paid by Deakin: {current_date} adding: {fortnight_income}" )
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current_savings += fortnight_income
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fortnight_income = 0 # reset for next fortnight
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# keep paying car off until the end of the car loan
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if current_date < car_balloon_date:
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if D_Num_fortnights_pay > 0:
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current_savings -= car_loan_via_pay
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else:
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current_savings -= regular_car_loan
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savings_per_fortnight.append((current_date.strftime("%Y-%m-%d"), round(current_savings, 2)))
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if is_end_of_month:
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current_savings += monthly_interest
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#print(f"interest paid {current_date}: ${monthly_interest}")
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monthly_interest = 0
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# monthly increase living expenses by a monthly inflation multiplier
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Living_Expenses += (Inflation/100.0)/12 * Living_Expenses
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daily_living_expenses = Living_Expenses / 365
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#print(f"Living Exp inceased {current_date}: ${Living_Expenses}")
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if current_date.date() == M_payout_date.date():
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current_savings += M_payout
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print(f"payout={current_date} + {M_payout}")
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if current_date.date() == school_fees_date.date():
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current_savings -= School_Fees
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print(f"school fees={current_date} - {School_Fees}")
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if current_date.date() == car_balloon_date.date():
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current_savings -= Car_balloon
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print(f"car balloon paid={current_date} - {Car_balloon}")
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if current_date.date() == overseas_trip_date.date():
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current_savings -= Overseas_trip
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print(f"overseas_trip={current_date} - {Overseas_trip}")
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if current_date.date() == mich_present_date.date():
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current_savings -= Mich_present
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print(f"Mich_present={current_date} - {Mich_present}")
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if current_date.date() == mark_reno_date.date():
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current_savings -= Mark_reno
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print(f"Mark/reno costs={current_date} - {Mark_reno}")
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if current_savings < 0:
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depletion_date = current_date
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break
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# twice a year, CBA has a dividend of $2-2.5 DRP gives back around 20ish shares twice a year, estimate this...
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if current_date.day == 1 and (current_date.month == 4 or current_date.month == 10):
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drp = int( (2.25*D_CBA_shares/CBA_price) )
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print( f"DRP {current_date} - adding {drp} CBA shares" )
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D_CBA_shares += int( (2.25*D_CBA_shares/CBA_price) )
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if Sell_shares>0 and current_date.month == 7 and current_date.day == 1:
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# 2024 Govt. value
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tax_threshold = 18200
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can_sell = 2*tax_threshold
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actual_sell = 0
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# sell off TLS first - and they are way under the limit, so just sell them all in one hit
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if D_TLS_shares > 0:
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actual_sell += TLS_price*D_TLS_shares
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D_TLS_shares = 0
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if M_TLS_shares > 0:
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actual_sell += TLS_price*M_TLS_shares
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M_TLS_shares = 0
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while actual_sell + CBA_price < can_sell and D_CBA_shares > 0:
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actual_sell += CBA_price
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D_CBA_shares -= 1
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Sell_shares -= 1
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print( f"SELLING SHARES {current_date}: D_TLS={D_TLS_shares}, D_CBA={D_CBA_shares}" )
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current_savings += actual_sell
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current_date += timedelta(days=1)
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days_count += 1
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return depletion_date, savings_per_fortnight, current_savings, D_TLS_shares+M_TLS_shares, D_CBA_shares
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