398 lines
16 KiB
Python
398 lines
16 KiB
Python
# db.py
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import sqlite3
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import pprint
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import os
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def connect_db(as_object):
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if 'ENV' in os.environ and os.environ['ENV'] == "production":
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conn = sqlite3.connect('/data/finance.db')
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else:
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conn = sqlite3.connect('./finance.db')
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if as_object:
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conn.row_factory = sqlite3.Row # This allows us to access columns by name
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return conn
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def init_db():
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conn = connect_db(True)
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cur = conn.cursor()
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cur.execute('''CREATE TABLE IF NOT EXISTS finance (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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D_Salary INTEGER,
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D_Num_fortnights_pay INTEGER,
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School_Fees INTEGER,
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Car_loan_via_pay INTEGER,
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Car_loan INTEGER,
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Car_balloon INTEGER,
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Car_buyout INTEGER,
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Living_Expenses INTEGER,
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Savings INTEGER,
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Interest_Rate REAL,
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Inflation REAL,
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Mich_present INTEGER,
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Overseas_trip INTEGER,
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Mark_reno INTEGER,
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D_leave_owed_in_days REAL,
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D_TLS_shares INTEGER,
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M_TLS_shares INTEGER,
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D_CBA_shares INTEGER,
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TLS_price REAL,
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CBA_price REAL,
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Overseas_trip_date STRING,
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Mark_reno_date STRING,
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Car_buyout_date STRING,
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Sell_shares INTEGER,
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compare_to INTEGER,
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Ioniq6_future INTEGER
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS comparison_set (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name STRING,
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D_Salary INTEGER,
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D_Num_fortnights_pay INTEGER,
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School_Fees INTEGER,
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Car_loan_via_pay INTEGER,
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Car_loan INTEGER,
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Car_balloon INTEGER,
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Car_buyout INTEGER,
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Living_Expenses INTEGER,
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Savings INTEGER,
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Interest_Rate REAL,
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Inflation REAL,
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Mich_present INTEGER,
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Overseas_trip INTEGER,
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Mark_reno INTEGER,
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D_leave_owed_in_days REAL,
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D_TLS_shares INTEGER,
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M_TLS_shares INTEGER,
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D_CBA_shares INTEGER,
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TLS_price REAL,
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CBA_price REAL,
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Overseas_trip_date STRING,
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Mark_reno_date STRING,
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Car_buyout_date STRING,
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Sell_shares INTEGER,
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CBA INTEGER,
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TLS INTEGER,
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Ioniq6_future INTEGER
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS comparison_savings_data (
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comparison_set_id INTEGER,
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name STRING,
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value INTEGER,
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FOREIGN KEY(comparison_set_id) REFERENCES comparison_set(id)
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS bill_type (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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freq INTEGER,
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name STRING,
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ann_growth_min REAL,
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ann_growth_avg REAL,
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ann_growth_max REAL,
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ann_growth_simple REAL,
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FOREIGN KEY(freq) REFERENCES bill_freq(id)
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS bill_freq (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name STRING,
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num_bills_per_annum INTEGER
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS bill_data (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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bill_type INTEGER,
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amount INTEGER,
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bill_date DATE,
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estimated INTEGER,
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FOREIGN KEY(bill_type) REFERENCES bill_type(id)
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)''')
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cur.execute('''CREATE TABLE IF NOT EXISTS bill_ui (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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last_tab INTEGER,
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show_estimated INTEGER
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)''')
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# Check if table is empty, if so insert default values
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cur.execute('SELECT COUNT(*) FROM finance')
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if cur.fetchone()[0] == 0:
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###
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# For now manually update below on the fortnight of the original pay shcedule to compare saved version vs. our reality. Update:
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# Savings (Macq+me bank) -- noting ME bank is: $1876.19, nab is 2727.95
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# TLS/CBA prices
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# Interest rate
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# D_leave_owed_in_days
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# maybe quarterly update Inflation? (this is harder to appreciate, seems much lower officialy than Savings, but which inflation:
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# I've decided to use RBA Trimmed Mean CPI YoY -- https://tradingeconomics.com/australia/inflation-cpi
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###
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cur.execute('''INSERT INTO finance (D_Salary, D_Num_fortnights_pay, School_Fees, Car_loan_via_pay, Car_loan, Car_balloon, Car_buyout, Living_Expenses, Savings, Interest_Rate,
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Inflation, Mich_present, Overseas_trip, Mark_reno, D_leave_owed_in_days, D_TLS_shares, M_TLS_shares, D_CBA_shares, TLS_price, CBA_price, Overseas_trip_date, Mark_reno_date, Car_buyout_date, Sell_shares, compare_to, Ioniq6_future)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)''',
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(4762.29, 10, 24000, 620, 2412, 45824.68, 83738.74, 80000, 424875.26, 4.75, 2.4, 10000, 50000, 10000, 76.85, 1000, 750, 1111, 4.52, 163.32, '2025-06-01', '2025-09-01', '2025-02-20', 4, 0, 0))
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cur.execute( "INSERT INTO bill_freq values ( 1, 'Annual', 1 )" )
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cur.execute( "INSERT INTO bill_freq values ( 2, 'Quarterly', 4 )" )
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cur.execute( "INSERT INTO bill_freq values ( 3, 'Quarterly (forced)', 4 )" )
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cur.execute( "INSERT INTO bill_freq values ( 4, 'Monthly', 12 )" )
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# start with no specific Tab/bill_type to show, and dont show_estimated
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cur.execute( "INSERT INTO bill_ui values ( 1, null, 0 )" )
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conn.commit()
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conn.close()
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def get_finance_data():
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conn = connect_db(True)
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cur = conn.cursor()
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cur.execute('SELECT * FROM finance WHERE id = 1') # Assuming a single record for simplicity
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finance = cur.fetchone()
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conn.close()
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return dict(finance)
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def get_budget_data(finance_data):
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# annual bills - health ins (5k), rates (2.6), electricity (1.2), gas (2.1) - but 1.4 in 2025 due to EU trip, internet (1.6), car insurance (.7), rego (.8), house insurance (2.4), GFC (2.6), water (1.1), eweka (.1), phones (.5), melb. pollen (.03), nabu casa (.1) --- noting phone is elevated presuming I also go onto Aldi plan, but that there is no family discount, and health will be extra after stop working
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# fudging below - its more like 15.2 + health, and really gas will be more than 2.1 than 1.4, so about 16+5
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bills = 21000
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BUDGET=[]
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BUDGET.append( ('Bills', f"${bills:,.2f}") )
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BUDGET.append( ('Buffer', f"${finance_data['CBA']*finance_data['CBA_price']+finance_data['TLS']*finance_data['TLS_price']:,.2f}") )
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BUDGET.append( ('Monthly budget', f"${((finance_data['Living_Expenses']) / 12):,.2f}" ) )
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BUDGET.append( ('Weekly budget', f"${((finance_data['Living_Expenses']) / 52):,.2f}" ) )
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BUDGET.append( ('Monthly budget (ex bills)', f"${((finance_data['Living_Expenses']-bills) / 12):,.2f}" ) )
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BUDGET.append( ('Weekly budget (ex bills)', f"${((finance_data['Living_Expenses']-bills) / 52):,.2f}" ) )
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return BUDGET
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def update_finance(data):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute('''UPDATE finance SET
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D_Salary = ?,
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D_Num_fortnights_pay = ?,
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School_Fees = ?,
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Car_loan_via_pay = ?,
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Car_loan = ?,
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Car_balloon = ?,
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Car_buyout = ?,
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Living_Expenses = ?,
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Savings = ?,
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Interest_Rate = ?,
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Inflation = ?,
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Mich_present = ?,
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Overseas_trip = ?,
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Mark_reno = ?,
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D_leave_owed_in_days = ?,
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D_TLS_shares = ?,
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M_TLS_shares = ?,
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D_CBA_shares = ?,
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TLS_price = ?,
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CBA_price = ?,
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Overseas_trip_date = ?,
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Mark_reno_date = ?,
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Car_buyout_date = ?,
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Sell_shares = ?,
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compare_to = ?,
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Ioniq6_future = ?
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WHERE id = 1''', data)
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conn.commit()
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conn.close()
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def insert_cset( data ):
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print( f"Saving: {data['vars']['name']}" )
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute('''INSERT INTO comparison_set (
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name, D_Salary, D_Num_fortnights_pay, School_Fees, Car_loan_via_pay,
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Car_loan, Car_balloon, Car_buyout, Living_Expenses, Savings, Interest_Rate, Inflation, Mich_present,
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Overseas_trip, Mark_reno, D_leave_owed_in_days, D_TLS_shares, M_TLS_shares, D_CBA_shares,
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TLS_price, CBA_price, Overseas_trip_date, Mark_reno_date, Car_buyout_date, Sell_shares, CBA, TLS, Ioniq6_future
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)
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VALUES (
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:name, :D_Salary, :D_Num_fortnights_pay, :School_Fees, :Car_loan_via_pay,
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:Car_loan, :Car_balloon, :Car_buyout, :Living_Expenses, :Savings, :Interest_Rate, :Inflation, :Mich_present,
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:Overseas_trip, :Mark_reno, :D_leave_owed_in_days, :D_TLS_shares, :M_TLS_shares, :D_CBA_shares,
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:TLS_price, :CBA_price, :Overseas_trip_date, :Mark_reno_date, :Car_buyout_date, :Sell_shares, :CBA, :TLS, :Ioniq6_future
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)
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''', data['vars'])
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cset_id = cur.lastrowid
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for d in data['savings_data']:
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cur.execute( f"INSERT INTO comparison_savings_data ( comparison_set_id, name, value ) VALUES ( {cset_id}, '{d[0]}', '{d[1]}' )" )
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conn.commit()
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conn.close()
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return cset_id
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################################################################################
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#
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# gets comparison set data from the DB based on cset_id passed in (via drop-down in GUI).
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# returns a DICT vars pointing to all the var values used for the ARRAY savings_data of saved fortnightly $'s
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# also sets date / amount for the last set of $'s for easy display in the GUI
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#
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################################################################################
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def get_comp_set_data(cset_id):
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COMP={}
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# get comp data from DB (as object so dict conversion works below)
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conn = connect_db(True)
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cur = conn.cursor()
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# get saved finance data for this comparison set
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cur.execute( f"select * from comparison_set where id = {cset_id}" )
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res=cur.fetchone()
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if not res:
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return None
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COMP['vars']= dict(res)
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COMP['buffer'] = COMP['vars']['CBA']*COMP['vars']['CBA_price']+COMP['vars']['TLS']*COMP['vars']['TLS_price']
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conn.close()
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# open new connection so we get rows back as basic array
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conn = connect_db(False)
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cur = conn.cursor()
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# get data for this comparison set
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cur.execute( f"select name, value from comparison_savings_data where comparison_set_id = {cset_id}" )
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COMP['savings_data']=cur.fetchall()
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# do this for convenience in printing single last cset data point
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COMP['date'], COMP['amount'] = COMP['savings_data'][-1]
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conn.close()
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return COMP
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def get_comp_set_options(finance):
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finance['COMP_SETS']=[ ( 0, 'Nothing' ) ]
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# get comp data from DB (as object so dict conversion works below)
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conn = connect_db(False)
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cur = conn.cursor()
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# get saved finance data for this comparison set
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cur.execute( f"select id, name from comparison_set order by id" )
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finance['COMP_SETS'].extend( cur.fetchall() )
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conn.close()
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return
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def get_bill_data(order_by):
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conn = connect_db(True)
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cur = conn.cursor()
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if order_by == "order_by_date_only":
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cur.execute('''SELECT bd.id, bt.id as bill_type, bt.name, bd.amount, bd.bill_date, bd.estimated
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FROM bill_type bt, bill_data bd
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where bt.id = bd.bill_type order by bd.bill_date desc''')
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else:
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cur.execute('''SELECT bd.id, bt.id as bill_type, bt.name, bd.amount, bd.bill_date, bd.estimated
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FROM bill_type bt, bill_data bd
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where bt.id = bd.bill_type order by bt.name, bd.bill_date desc''')
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bd = cur.fetchall()
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conn.close()
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return bd
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def get_bill_types():
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conn = connect_db(True)
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cur = conn.cursor()
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cur.execute('SELECT * FROM bill_type order by name')
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bt = cur.fetchall()
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conn.close()
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return bt
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def use_growth( bill_type, which_growth ):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"update bill_type set which_growth = '{which_growth}' where id = {bill_type}" )
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# okay, new growth type being used, delete old estimated bills are recreate them
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cur.execute( f"delete from bill_data where estimated=1 and bill_type = {bill_type}" )
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conn.commit()
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conn.close()
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return
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def get_bill_freqs():
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conn = connect_db(True)
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cur = conn.cursor()
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cur.execute('SELECT * FROM bill_freq order by name')
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bf = cur.fetchall()
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conn.close()
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return bf
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def new_bill( bill_type, amount, bill_date, estimated ):
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conn = connect_db(False)
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cur = conn.cursor()
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# if we are a real bill added by UI
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if not estimated:
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# delete old estimates as new bill will potentially change them/growth, etc.
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cur.execute( f"delete from bill_data where estimated=1" )
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# force the next /bills load to show the tab for the bill we are adding
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cur.execute( f"update bill_ui set last_tab='{bill_type}'" )
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cur.execute( f"insert into bill_data ( 'bill_type', 'amount', 'bill_date', 'estimated' ) values ( '{bill_type}', '{float(amount):.2f}', '{bill_date}', {estimated} )" )
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conn.commit()
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conn.close()
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return
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def update_bill_data( id, name, amount, bill_date ):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"update bill_data set bill_type =(select id from bill_type where name ='{name}'), amount='{amount}', bill_date='{bill_date}' where id = {id}" )
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conn.commit()
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conn.close()
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return
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def insert_bill_type( bt, fq ):
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conn = connect_db(False)
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cur = conn.cursor()
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print( f"fq={fq}" )
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cur.execute( f"insert into bill_type ( 'name', 'freq', 'ann_growth_min', 'ann_growth_avg', 'ann_growth_max', 'ann_growth_simple' ) values ( '{bt}', {fq}, 0, 0, 0, 0 )" )
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conn.commit()
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conn.close()
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return
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def update_bill_type(id, bill_type, freq):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"update bill_type set name ='{bill_type}', freq={freq} where id = {id}" )
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conn.commit()
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conn.close()
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return
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def delete_bill(id):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"delete from bill_data where id = '{id}'" )
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conn.commit()
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conn.close()
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return
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def delete_bill_type( id ):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"delete from bill_type where id = '{id}'" )
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conn.commit()
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conn.close()
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return
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def set_bill_type_growth( id, min_g, avg_g, max_g, simple_g ):
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conn = connect_db(False)
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cur = conn.cursor()
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cur.execute( f"update bill_type set ann_growth_min={min_g}, ann_growth_avg ={avg_g}, ann_growth_max={max_g}, ann_growth_simple= {simple_g} where id = {id}" )
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conn.commit()
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conn.close()
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return
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def get_bill_ui():
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conn = connect_db(True)
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cur = conn.cursor()
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# only ever be 1
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cur.execute('SELECT * FROM bill_ui')
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ui = cur.fetchone()
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conn.close()
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return ui
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def save_ui(data):
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conn = connect_db(False)
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cur = conn.cursor()
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if 'last_tab' in data:
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cur.execute( f"update bill_ui set last_tab='{data['last_tab']}'" )
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if 'show_estimated' in data:
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cur.execute( f"update bill_ui set show_estimated='{data['show_estimated']}'" )
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conn.commit()
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conn.close()
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return
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