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feat: improve networth calculations
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@@ -1,63 +1,84 @@
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import json
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from datetime import datetime
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from dateutil.relativedelta import relativedelta
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from django.core.serializers.json import DjangoJSONEncoder
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from django.http import JsonResponse
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from django.shortcuts import render
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from django.utils import timezone
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from apps.net_worth.utils.calculate_net_worth import (
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calculate_net_worth,
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calculate_historical_net_worth,
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calculate_currency_net_worth,
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calculate_historical_currency_net_worth,
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calculate_account_net_worth,
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calculate_historical_account_balance,
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)
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from apps.currencies.models import Currency
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# Create your views here.
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def net_worth_main(request):
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net_worth = calculate_net_worth()
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detailed_net_worth = calculate_account_net_worth()
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# historical = calculate_historical_net_worth(
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# start_date=datetime(day=1, month=1, year=2021).date(),
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# end_date=datetime(day=1, month=1, year=2025).date(),
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# )
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# print(historical)
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currency_net_worth = calculate_currency_net_worth()
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account_net_worth = calculate_account_net_worth()
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print(detailed_net_worth)
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# Format the net worth with currency details
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formatted_net_worth = []
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for currency_code, amount in net_worth.items():
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currency = Currency.objects.get(code=currency_code)
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formatted_net_worth.append(
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historical_net_worth = calculate_historical_currency_net_worth()
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labels = list(historical_net_worth.keys())
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currencies = list(historical_net_worth[labels[0]].keys())
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datasets = []
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for i, currency in enumerate(currencies):
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data = [
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float(month_data[currency]) for month_data in historical_net_worth.values()
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]
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datasets.append(
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{
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"amount": amount,
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"code": currency.code,
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"name": currency.name,
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"prefix": currency.prefix,
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"suffix": currency.suffix,
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"decimal_places": currency.decimal_places,
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"label": currency,
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"data": data,
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"yAxisID": f"y{i}",
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"fill": False,
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"tension": 0.1,
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}
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)
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end_date = timezone.now()
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start_date = end_date - relativedelta(years=5) # Last year
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chart_data_currency = {"labels": labels, "datasets": datasets}
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# Calculate historical net worth
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historical_data = calculate_historical_net_worth(start_date, end_date)
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chart_data_currency_json = json.dumps(chart_data_currency, cls=DjangoJSONEncoder)
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# Prepare data for the template
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currencies = Currency.objects.all()
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print(historical_data)
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historical_account_balance = calculate_historical_account_balance()
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labels = list(historical_account_balance.keys())
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accounts = list(historical_account_balance[labels[0]].keys())
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datasets = []
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for i, account in enumerate(accounts):
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data = [
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float(month_data[account])
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for month_data in historical_account_balance.values()
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]
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datasets.append(
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{
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"label": account,
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"data": data,
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"fill": False,
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"tension": 0.1,
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"yAxisID": f"y-axis-{i}", # Assign each dataset to its own Y-axis
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}
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)
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chart_data_accounts = {"labels": labels, "datasets": datasets}
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chart_data_accounts_json = json.dumps(chart_data_accounts, cls=DjangoJSONEncoder)
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return render(
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request,
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"net_worth/net_worth.html",
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{
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"currency_net_worth": formatted_net_worth,
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"account_net_worth": detailed_net_worth,
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"currency_net_worth": currency_net_worth.values(),
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"account_net_worth": account_net_worth,
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"chart_data_currency_json": chart_data_currency_json,
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"currencies": currencies,
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"historical_data_json": JsonResponse(historical_data).content.decode(
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"utf-8"
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),
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"chart_data_accounts_json": chart_data_accounts_json,
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"accounts": accounts,
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},
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)
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