From a4510ce2319531443eaec1b226cbbd44bcdd8aca Mon Sep 17 00:00:00 2001 From: Jesse Brooklyn Hannah Date: Thu, 16 Jan 2025 10:18:28 -0800 Subject: [PATCH] Create an expanded example project --- README.md | 4 +- demo.ipynb | 155 ------- example/.python-version | 1 + example/.vscode/extensions.json | 7 + example/README.md | 8 + example/budget.ipynb | 709 ++++++++++++++++++++++++++++++++ example/data/bills.csv | 15 + example/data/transactions.csv | 6 + example/example.py | 39 ++ example/pyproject.toml | 15 + example/uv.lock | 709 ++++++++++++++++++++++++++++++++ 11 files changed, 1511 insertions(+), 157 deletions(-) delete mode 100644 demo.ipynb create mode 100644 example/.python-version create mode 100644 example/.vscode/extensions.json create mode 100644 example/README.md create mode 100644 example/budget.ipynb create mode 100644 example/data/bills.csv create mode 100644 example/data/transactions.csv create mode 100644 example/example.py create mode 100644 example/pyproject.toml create mode 100644 example/uv.lock diff --git a/README.md b/README.md index f95bef0..66ed60f 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ pip install budge ## Usage -See the [demo notebook][demo] for usage examples. +See the [example directory][demo] for usage examples. ## Copyright @@ -24,7 +24,7 @@ Copyright © 2025 Jesse Brooklyn Hannah. Licensed under the terms of the [badge/pypi-publish]: https://github.com/budgeapp/budge/actions/workflows/pypi.yml/badge.svg [badge/pypi]: https://img.shields.io/pypi/v/budge [badge/pytest]: https://github.com/budgeapp/budge/actions/workflows/pytest.yml/badge.svg -[demo]: https://github.com/budgeapp/budge/blob/trunk/demo.ipynb +[demo]: https://github.com/budgeapp/budge/blob/trunk/example [license]: https://github.com/budgeapp/budge/blob/trunk/LICENSE.md [pypi]: https://pypi.org/project/budge/ [workflows/pypi-publish]: https://github.com/budgeapp/budge/actions/workflows/pypi.yml diff --git a/demo.ipynb b/demo.ipynb deleted file mode 100644 index 6dc7b5f..0000000 --- a/demo.ipynb +++ /dev/null @@ -1,155 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from budge import Account, Transaction, RepeatingTransaction\n", - "from datetime import date\n", - "from dateutil.rrule import rrule, MONTHLY\n", - "from stockholm import Money\n", - "\n", - "today = date(2022, 12, 6)\n", - "\n", - "rt1 = RepeatingTransaction(\n", - " \"test 1\", Money(1), schedule=rrule(freq=MONTHLY, bymonthday=1, dtstart=today)\n", - ")\n", - "rt2 = RepeatingTransaction(\n", - " \"test 2\", Money(2), schedule=rrule(freq=MONTHLY, bymonthday=15, dtstart=today)\n", - ")\n", - "t1 = Transaction(\"test 1\", Money(1), date(2022, 12, 1))\n", - "acct = Account(\"test\")\n", - "acct.transactions.add(t1)\n", - "acct.repeating_transactions.add(rt1, rt2)\n", - "acct.balance(today)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dateutil.relativedelta import relativedelta\n", - "\n", - "as_of = today + relativedelta(years=1)\n", - "\n", - "acct.balance(as_of)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-9.00\n", - "10.00\n" - ] - } - ], - "source": [ - "from budge import Transfer\n", - "\n", - "\n", - "acct2 = Account(\"test 2\")\n", - "transfer = Transfer(\n", - " \"test transfer\", Money(10), today, from_account=acct, to_account=acct2\n", - ")\n", - "print(acct.balance(today))\n", - "print(acct2.balance(today))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[(datetime.date(2022, 11, 28), ),\n", - " (datetime.date(2022, 11, 29), ),\n", - " (datetime.date(2022, 11, 30), ),\n", - " (datetime.date(2022, 12, 1), ),\n", - " (datetime.date(2022, 12, 2), ),\n", - " (datetime.date(2022, 12, 3), ),\n", - " (datetime.date(2022, 12, 4), ),\n", - " (datetime.date(2022, 12, 5), ),\n", - " (datetime.date(2022, 12, 6), ),\n", - " (datetime.date(2022, 12, 7), ),\n", - " (datetime.date(2022, 12, 8), ),\n", - " (datetime.date(2022, 12, 9), ),\n", - " (datetime.date(2022, 12, 10), ),\n", - " (datetime.date(2022, 12, 11), ),\n", - " (datetime.date(2022, 12, 12), ),\n", - " (datetime.date(2022, 12, 13), ),\n", - " (datetime.date(2022, 12, 14), ),\n", - " (datetime.date(2022, 12, 15), ),\n", - " (datetime.date(2022, 12, 16), )]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[\n", - " balance\n", - " for balance in acct.daily_balance(\n", - " start_date=date(2022, 11, 28), end_date=date(2022, 12, 16)\n", - " )\n", - "]" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/example/.python-version b/example/.python-version new file mode 100644 index 0000000..24ee5b1 --- /dev/null +++ b/example/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/example/.vscode/extensions.json b/example/.vscode/extensions.json new file mode 100644 index 0000000..cdf425d --- /dev/null +++ b/example/.vscode/extensions.json @@ -0,0 +1,7 @@ +{ + "recommendations": [ + "ms-python.python", + "ms-toolsai.jupyter", + "ms-toolsai.datawrangler" + ] +} diff --git a/example/README.md b/example/README.md new file mode 100644 index 0000000..6649fce --- /dev/null +++ b/example/README.md @@ -0,0 +1,8 @@ +# Example Budget + +This is an example of how to use a Jupyter notebook and Budge to track and +forecast your budget. All of the dependencies needed to run the notebook at +[`budget.ipynb`][nb] are listed in [`pyproject.toml`][toml]. + +[nb]: ./budget.ipynb +[toml]: ./pyproject.toml diff --git a/example/budget.ipynb b/example/budget.ipynb new file mode 100644 index 0000000..7354b98 --- /dev/null +++ b/example/budget.ipynb @@ -0,0 +1,709 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example Budget\n", + "\n", + "This is an example of how to use a Jupyter notebook to track your budget and\n", + "forecast your account balance. You can run it the same way you run any other\n", + "Jupyter notebook, but this example is best viewed in Visual Studio Code with the\n", + "Python, Jupyter, and Data Wrangler extensions installed (see\n", + "[`.vscode/extensions.json`][ext]).\n", + "\n", + "[ext]: ./.vscode/extensions.json" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Start by creating an account. There's nothing in it yet, so its balance is, of\n", + "course, zero:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from budge import Account\n", + "\n", + "account = Account(\"Example account\")\n", + "account.balance()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's pretend that it's January 10, 2022, and we started using this notebook on\n", + "January 1, so the first transaction is our initial balance as of New Year's Eve:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from datetime import date\n", + "\n", + "from stockholm import Money\n", + "from budge import Transaction\n", + "\n", + "start_date = date(2021, 12, 31)\n", + "today = date(2022, 1, 10)\n", + "\n", + "account.transactions.add(Transaction(\"Starting balance\", Money(1500), start_date))\n", + "account.balance(start_date)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also import from local modules, just like with any other Jupyter\n", + "notebook. Here, `load_transactions` and `load_bills` in [`example.py`][ex] read\n", + "data from the given CSV files, parse them into `Transaction` or\n", + "`RepeatingTransaction` objects, and load them into the account. The account's\n", + "balance as of today is now calculated using the loaded transactions and bills:\n", + "\n", + "[ex]: ./example.py" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from example import load_transactions, load_bills\n", + "\n", + "load_transactions(account, \"data/transactions.csv\")\n", + "load_bills(account, \"data/bills.csv\")\n", + "\n", + "account.balance(today)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's look at the transactions and bills that have come out of the account\n", + "so far. The `account.running_balance` method returns an iterator of transactions\n", + "in the account, and the current account balance after that transaction. We can\n", + "use that to create a Pandas dataframe and display it as a table for readability:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateAmountDescriptionBalance
02021-12-311500.00Starting balance1500.00
12022-01-01-800.00Rent700.00
22022-01-03-50.00Extra groceries650.00
32022-01-04-60.00Internet590.00
42022-01-06-51.59Gas538.41
52022-01-07-80.00Groceries458.41
62022-01-07-45.00Going out413.41
72022-01-09-150.00Electric263.41
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" + ], + "text/plain": [ + " Date Amount Description Balance\n", + "0 2021-12-31 1500.00 Starting balance 1500.00\n", + "1 2022-01-01 -800.00 Rent 700.00\n", + "2 2022-01-03 -50.00 Extra groceries 650.00\n", + "3 2022-01-04 -60.00 Internet 590.00\n", + "4 2022-01-06 -51.59 Gas 538.41\n", + "5 2022-01-07 -80.00 Groceries 458.41\n", + "6 2022-01-07 -45.00 Going out 413.41\n", + "7 2022-01-09 -150.00 Electric 263.41" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "transactions = pd.DataFrame(\n", + " (\n", + " (transaction.date, transaction.amount, transaction.description, balance)\n", + " for transaction, balance in account.running_balance(start_date, today)\n", + " ),\n", + " columns=[\"Date\", \"Amount\", \"Description\", \"Balance\"],\n", + ")\n", + "\n", + "transactions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since we know of some transactions and bills that haven't happened yet, we can\n", + "pass future dates to `account.running_balance` to see what our account balance\n", + "will look like after each future transaction:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0123
02022-01-12-60.00Cell phone203.41
12022-01-13-51.59Gas151.82
22022-01-141000.00Paycheck1151.82
32022-01-14-80.00Groceries1071.82
42022-01-18-100.00Birthday gift971.82
52022-01-20-51.59Gas920.23
62022-01-21-80.00Groceries840.23
72022-01-27-51.59Gas788.64
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" + ], + "text/plain": [ + " 0 1 2 3\n", + "0 2022-01-12 -60.00 Cell phone 203.41\n", + "1 2022-01-13 -51.59 Gas 151.82\n", + "2 2022-01-14 1000.00 Paycheck 1151.82\n", + "3 2022-01-14 -80.00 Groceries 1071.82\n", + "4 2022-01-18 -100.00 Birthday gift 971.82\n", + "5 2022-01-20 -51.59 Gas 920.23\n", + "6 2022-01-21 -80.00 Groceries 840.23\n", + "7 2022-01-27 -51.59 Gas 788.64\n", + "8 2022-01-28 -80.00 Groceries 708.64\n", + "9 2022-01-28 1000.00 Paycheck 1708.64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dateutil.relativedelta import relativedelta\n", + "\n", + "end_date = start_date + relativedelta(months=1)\n", + "\n", + "future_transactions = pd.DataFrame(\n", + " (\n", + " (transaction.date, transaction.amount, transaction.description, balance)\n", + " for transaction, balance in account.running_balance(\n", + " today + relativedelta(days=1), end_date\n", + " )\n", + " )\n", + ")\n", + "\n", + "future_transactions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And we can look at what our daily ending balance will be for any range of dates:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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datebalance
02021-12-311500.00
12022-01-01700.00
22022-01-02700.00
32022-01-03650.00
42022-01-04590.00
52022-01-05590.00
62022-01-06538.41
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92022-01-09263.41
102022-01-10263.41
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122022-01-12203.41
132022-01-13151.82
142022-01-141071.82
152022-01-151071.82
162022-01-161071.82
172022-01-171071.82
182022-01-18971.82
192022-01-19971.82
202022-01-20920.23
212022-01-21840.23
222022-01-22840.23
232022-01-23840.23
242022-01-24840.23
252022-01-25840.23
262022-01-26840.23
272022-01-27788.64
282022-01-281708.64
292022-01-291708.64
302022-01-301708.64
312022-01-311708.64
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" + ], + "text/plain": [ + " date balance\n", + "0 2021-12-31 1500.00\n", + "1 2022-01-01 700.00\n", + "2 2022-01-02 700.00\n", + "3 2022-01-03 650.00\n", + "4 2022-01-04 590.00\n", + "5 2022-01-05 590.00\n", + "6 2022-01-06 538.41\n", + "7 2022-01-07 413.41\n", + "8 2022-01-08 413.41\n", + "9 2022-01-09 263.41\n", + "10 2022-01-10 263.41\n", + "11 2022-01-11 263.41\n", + "12 2022-01-12 203.41\n", + "13 2022-01-13 151.82\n", + "14 2022-01-14 1071.82\n", + "15 2022-01-15 1071.82\n", + "16 2022-01-16 1071.82\n", + "17 2022-01-17 1071.82\n", + "18 2022-01-18 971.82\n", + "19 2022-01-19 971.82\n", + "20 2022-01-20 920.23\n", + "21 2022-01-21 840.23\n", + "22 2022-01-22 840.23\n", + "23 2022-01-23 840.23\n", + "24 2022-01-24 840.23\n", + "25 2022-01-25 840.23\n", + "26 2022-01-26 840.23\n", + "27 2022-01-27 788.64\n", + "28 2022-01-28 1708.64\n", + "29 2022-01-29 1708.64\n", + "30 2022-01-30 1708.64\n", + "31 2022-01-31 1708.64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "balances = pd.DataFrame(account.daily_balance(start_date, end_date))\n", + "\n", + "balances" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And if you want to know what your account balance will be in a year, if none of\n", + "your bills change:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "account.balance(today + relativedelta(years=1))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/example/data/bills.csv b/example/data/bills.csv new file mode 100644 index 0000000..b47d4eb --- /dev/null +++ b/example/data/bills.csv @@ -0,0 +1,15 @@ +description,amount,schedule +Cell phone,-60,"DTSTART;VALUE=DATE:20220112 +RRULE:FREQ=MONTHLY" +Electric,-150,"DTSTART;VALUE=DATE:20220109 +RRULE:FREQ=MONTHLY" +Gas,-51.59,"DTSTART;VALUE=DATE:20220101 +RRULE:FREQ=WEEKLY;BYDAY=TH" +Groceries,-80,"DTSTART;VALUE=DATE:20220101 +RRULE:FREQ=WEEKLY;BYDAY=FR" +Internet,-60,"DTSTART;VALUE=DATE:20220104 +RRULE:FREQ=MONTHLY" +Paycheck,1000,"DTSTART;VALUE=DATE:20220101 +RRULE:FREQ=WEEKLY;BYDAY=FR;INTERVAL=2" +Rent,-800,"DTSTART;VALUE=DATE:20220101 +RRULE:FREQ=MONTHLY" diff --git a/example/data/transactions.csv b/example/data/transactions.csv new file mode 100644 index 0000000..3abfcae --- /dev/null +++ b/example/data/transactions.csv @@ -0,0 +1,6 @@ +date,amount,description +2021-12-31,1500.00,Starting balance +2022-01-03,-50,Extra groceries +2022-01-06,-51.59,Gas +2022-01-07,-45,Going out +2022-01-18,-100,Birthday gift diff --git a/example/example.py b/example/example.py new file mode 100644 index 0000000..4470d2d --- /dev/null +++ b/example/example.py @@ -0,0 +1,39 @@ +import pandas as pd +from budge import Account, RepeatingTransaction, Transaction +from budge.rrule import rrulestr +from stockholm import Money + + +def load_bills(account: Account, filename: str): + """Load bills from a CSV file with description, amount, and schedule columns.""" + + bills_data = pd.read_csv(filename) + + account.repeating_transactions.clear() + + for _, bill in bills_data.iterrows(): + account.repeating_transactions.add( + RepeatingTransaction( + bill["description"], + Money(bill["amount"]), + schedule=rrulestr(bill["schedule"]), + ) + ) + + +def load_transactions(account: Account, filename: str): + """Load transactions from a CSV file with description, amount, and date columns.""" + + transactions_data = 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