From 98d9fe7dad98fb476dede1471db8b3e2369cd199 Mon Sep 17 00:00:00 2001 From: Evgenii Novikov Date: Tue, 19 Sep 2023 22:04:21 +0200 Subject: [PATCH] Initial commit --- .gitignore | 8 ++ README.md | 78 +++++++++++++++ RtxData.ipynb | 67 +++++++++++++ dashboard.sql | 38 +++++++ demo.png | Bin 0 -> 193148 bytes index.html | 250 +++++++++++++++++++++++++++++++++++++++++++++++ patterns.json | 173 ++++++++++++++++++++++++++++++++ requirements.txt | 5 + utils.py | 97 ++++++++++++++++++ 9 files changed, 716 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 RtxData.ipynb create mode 100644 dashboard.sql create mode 100644 demo.png create mode 100644 index.html create mode 100644 patterns.json create mode 100644 requirements.txt create mode 100644 utils.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..954b9c3 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +.DS_Store +__pycache__ +.ipynb_checkpoints +.venv +.vscode +Raiff*.json +temp +private \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..868b188 --- /dev/null +++ b/README.md @@ -0,0 +1,78 @@ +## RtxData - Анализ данных из Райфайзен Банка (Сербия) + +- Безопасный: Для выгрузки не нужен пароль, только небольшой скрипт в консоли браузера +- Приватный: Данные остаются на устройстве +- Удобный: Работает в браузере + +![Demo](./demo.png) + +### Скачиваем свои данные + +1) Логинимся в личном кабинете https://rol.raiffeisenbank.rs/Retail/Home/Login +2) Открываем консоль разработчика, в Chrome/Yandex/Firefox это `F12` или `Cmd + Opt + I` +3) Вставляем в консоль скрипт +```javascript +// Берем транзакции за 2023 год +filter = '"filterParam":{"FromDate":"01.01.2023","ToDate":"01.01.2024"}' + +// URL фронтового API Райфа +base = "https://rol.raiffeisenbank.rs/Retail/Protected/Services/DataService.svc/" +// Получаем банковские счета +accounts = await fetch(base + "GetAllAccountBalance", + { body: '{"gridName":"RetailAccountBalancePreviewFlat-L"}', + method: "POST" }).then(res => res.json()); + +// Получаем транзакции +transactions = {}; +for (number of new Set(accounts.map(a => a[1]))) { + // Скачиваем информацию о транзакции + transactions[number] = await fetch(base + "GetTransactionalAccountTurnover", { + body: '{"gridName":"RetailAccountTurnoverTransactionPreviewMasterDetail-S",' + + '"productCoreID":"541","accountNumber":"' + number + '",' + filter + '}', + method: "POST"}).then(res => res.json()); +} + +// Сохраняем транзакции как файл +element = document.createElement('a'); +// Кодируем данные +element.href = URL.createObjectURL(new Blob([JSON.stringify({ transactions })], + { type: "application/json" })); +// Сохраняем в загрузки +element.download = 'Raiff_2023_' + new Date().toISOString() + '.json'; +element.click(); +``` +4) Ожидаем скачивания файла с транзакциями за 2023 год + +### Строим графики, круговые диаграммы и таблицы + +Способ не работает в Safari на Mac, тк в нем нет поддержки Web SQL + +1) Заходим https://rtxdata.github.io +2) Открываем полученный `Raiff.json` и смотрим аналитику, данные обрабатываются на устройстве + +### Пишем кастомные SQL запросы + +1) Клонируем репозиторий `git clone git@github.com:rtxdata/rtxdata.github.io.git` +2) Кладем полученный `Raiff.json` в папку с репозиторием +3) `python3.9 -m venv .venv` +4) `. ./.venv/bin/activate` +5) `pip install -r requirements.txt` +6) Запускаем `jupyter notebook` или открываем `RtxData.ipynb` в VSCode с расширением Jupyter Notebook +7) Запускаем ячейки, запросы можно редактировать + +#### Какой график получится? + +- Круговая диаграмма будет построена если выбраны 2 колонки и вторая называется `total` +- Линия по датам будет построена если выбраны 2 колонки и первая называется `date` +- Таблица будет построена в остальных случаях + +### Добавляем графики и пополняем классификатор + +1) Запросы находятся в `dashboard.sql`, `init` выполняется перед всеми и нужен для вспомогательных таблиц +2) Классификатор находится в `patterns.json` и работает как паттерн матчинг, поддерживается только 2 уровня вложенности +3) Пожалуйста отправьте пулл реквест с новыми графиками и обновлениями классификатора + +#### Перестроение категорий + +- В случае Jupyter нужно перезагрузить kernel +- В случае браузера очистить данные сайта в DevTools \ No newline at end of file diff --git a/RtxData.ipynb b/RtxData.ipynb new file mode 100644 index 0000000..945a925 --- /dev/null +++ b/RtxData.ipynb @@ -0,0 +1,67 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from utils import dashboard, get_queries, query\n", + "\n", + "# Строим дашборд по dashboard.sql, можно добавлять SQL запросы\n", + "dashboard([\n", + " # \"SELECT * FROM TX LIMIT 3\",\n", + " 'По категориям',\n", + " 'Интернет',\n", + " # 'Траты',\n", + " # 'Транзакций в день',\n", + " # 'Динарных транзакций в день',\n", + " 'Не динарных транзакций в день',\n", + " # 'Макдак с Июня',\n", + " 'Топ 5 трат',\n", + " # 'Зарплата в евро',\n", + " # 'Траты по валютам'\n", + "])\n", + "\n", + "# Посмотреть названия из dashboard.sql\n", + "names = get_queries().keys()\n", + "\n", + "# Получить датафрейм\n", + "pandas_dataframe = query(\"SELECT * FROM TX LIMIT 3\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from utils import dashboard\n", + "dashboard([\"SELECT ref, ABS(rsum) FROM POS LIMIT 3\"])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/dashboard.sql b/dashboard.sql new file mode 100644 index 0000000..2480904 --- /dev/null +++ b/dashboard.sql @@ -0,0 +1,38 @@ +-- init +DROP TABLE IF EXISTS POS; +CREATE TEMPORARY TABLE IF NOT EXISTS POS AS SELECT id, SUM(sum) as sum, SUM(rsum) as rsum, curr, kat1, kat2, + date, type, card, ref, ref2, acc FROM TX WHERE sum < 0 AND type = "POS" GROUP BY curr, date, type, card, ref, ref2, acc; + +-- По категориям +SELECT kat1, SUM(ABS(rsum)) as total FROM POS GROUP BY kat1 ORDER BY total DESC LIMIT 10; + +-- Интернет +SELECT kat2, SUM(ABS(rsum)) as total FROM POS WHERE kat1 = 'internet' GROUP BY kat2 ORDER BY total DESC LIMIT 10; + +-- Траты +SELECT date, SUM(ABS(rsum)) FROM POS GROUP BY date ORDER BY date ASC; + +-- Транзакций в день +SELECT date, count(*) FROM POS GROUP BY date ORDER BY date ASC; + +-- Динарных транзакций в день +SELECT date, count(*) FROM POS WHERE curr = 'RSD' GROUP BY date ORDER BY date ASC; + +-- Не динарных транзакций в день +SELECT date, count(*) FROM POS WHERE curr != 'RSD' 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+ Используйте Chrome, Yandex, Edge или Opera последней версии + + + + + \ No newline at end of file diff --git a/patterns.json b/patterns.json new file mode 100644 index 0000000..87864e7 --- /dev/null +++ b/patterns.json @@ -0,0 +1,173 @@ +{ + "food": { + "AMREST-KFC ": "KFC", + "Vap Raji?eva": "Vapiano", + "VAPIANO ": "Vapiano", + "filozofia ": "Kafeterius Yandex", + "FILOZOFIJA KAFE": "Kafeterius Yandex", + "STARBUCKS ": "Starbucks", + "AMREST COFFEE ": "Amrest", + "Kafeterija": "Kafeterija", + "ANGRY MONK ": "Angry Monk", + "ANIS DOO ": "Other", + "BEOGRADSKO SOKACE ": "Sokace", + "BURRITO MADRE ": "Burrito Madre", + "BURGER KING ": "Burger King", + "NICEFOODS ": "McDonalds", + "McDonald": "McDonalds", + "BALTAZAR GRIL ": "Baltazar Grill", + "BISTRO ": "Bistro", + "BRUNCH CAFFE ": "Brunch Caffe", + "BURGERI FAT BOYS ": "Fat Boys Burgers", + "BUTLER ": "Butler", + "CAFE NEGRO ": "Montenegro Airport Caffe", + "DISTRIKT ": "Distrikt", + "MOON.ZE ": "Moon Ze", + "TT BISTRO ": "TT Bistro", + "RESTORAN DORIAN GRAY ": "Dorian Gray", + "RESTORAN ENSO ": "Enso", + "RESTORAN SARAJEVSKI ": "Sarajevski Cevap", + "RESTORAN SARAN ": "Restoran Saran", + "GRADSKA - KAFANA ": "Gradska Kafana", + "CRNA OVCA DOO": "Crna Ovca", + "BIRDS ": "Birds", + "CANDY CAT ": "Candy Cat", + "CHOCO DOO ": "Plato", + "BAR CENTRAL SRB BEOGRAD": "Bar Central", + "JUICY LUCY DOO": "Juicy Lucy", + "WALTER ": "Walter BBQ", + "WOLT ": "Wolt", + "TRIMOMKA HOMA": "Homa Bistrot", + "KEZUAL BAR": "Kezual Bar", + "SBX BELGRADE": "Starbucks", + "MCDONALD": "MCDONALD", + "KAFETERIJA": "KAFETERIJA", + "BRUNCH CAFFE": "BRUNCH CAFFE", + "CEVABDZINICA": "CEVABDZINICA", + "HLEB I KIFLE": "HLEB I KIFLE", + "STORIES": "STORIES", + "SUSHIRRITO": "SUSHIRRITO", + "KFC ": "KFC", + "MORAVA": "MORAVA", + "PEKARA": "PEKARA", + "RAI CATERING DOO": "RAI CATERING DOO", + "RESTAURANT": "RESTAURANT", + "HUDSON NEWS": "HUDSON NEWS" + }, + "internet": { + "NETFLIX": "Netflix", + "GOOGLE ": "Google", + "ITUNES.COM": "Apple", + "CHATGPT ": "ChatGPT", + "Nintendo ": "Nintendo", + "YETTEL ": "Yettel", + "SIMPLIFY3D ": "Simplify3D", + "GETNOMAD": "GETNOMAD", + "GLOBALTEL": "GLOBALTEL", + "INTERNET ARE INTERNET": "INTERNET ARE INTERNET", + "LOOPIA DOO ": "LOOPIA DOO", + "MIDJOURNEY": "MIDJOURNEY", + "PAYPAL *PATREON": "Patreon", + "STEAM": "Steam", + "Yettel": "Yettel", + "Tinder": "Tinder" + }, + "electronics": { + "GIGATRON ": "Gigatron", + "APPLE STORE ": "Apple", + "APPLER706 THE GALLERIA ARE DUBAI": "Apple", + "COMPUTERLAND ": "Computerland", + "iStyle ": "iStyle", + "MI STORE ": "Mi Store", + "OTC COMPUTERS": "OTC Computers" + }, + "clothes": { + "CROPP ": "Cropp", + "H&M": "H&M", + "IKEA": "Ikea", + "LEVIS ": "Levis", + "NIKE SHOP": "Nike", + "PANSPORT": "Pansport", + "H&M": "H&M" + }, + "supermarket": { + " MAXI ": "Maxi", + " C MARKET ": "Other", + "UNIVEREXPORT": "Univerexport", + "CARREFOUR": "Carrefour", + "COLOR SHOCK ": "Color Shock", + "D.TRG.-AROMA": "AROMA", + "IDEA": "IDEA", + "LULU HYPERMARKET ": "LULU HYPERMARKET" + }, + "travel": { + "AIR SERBIA ": "Air Serbia", + "Amsterdam West ": "Amsterdam", + "OVPAY.NL": "Amsterdam", + "DUTY FREE SHOP": "Duty Free Shop", + "COURTYARD BY MARRIOTT ": "Courtyard by Marriott", + "GetTransfer.com ": "GetTransfer", + "HYATT ": "Hyatt", + "JUGOPETROL ": "Jugopetrol", + "MONA PLAZA": "Mona Plaza", + "CONSCIOUS HOTEL": "Conscious Hotel", + "GEOGRAPHOTEL": "Geographotel", + "PARK INN ": "Park Inn", + "RAIL EUROPE ": "Rail Europe", + "NextbikeDE": "NextbikeDE", + "DUFRY": "DUFRY", + "EAS-Ground-Term1A-TD": "Airport", + "WIZZ AIR": "Wizz", + "Wizz Gate": "Wizz", + "SRBIJA VOZ": "SRBIJA VOZ", + "QATAR AIR": "QATAR AIR", + "The Tire Station": "The Tire Station", + "LIM*RIDE ": "Lime bike rental", + "HOLIDAY INN": "HOLIDAY INN", + "HOTEL": "HOTEL", + "TRAVEL": "TRAVEL" + }, + "taxi": { + "BOLT.EU/": "Bolt", + "Yandex": "Yandex", + "GO TECHNOLOGIES SRB Beograd": "CarGo", + "UBER": "Uber" + }, + "entertainment": { + "CINEPLEXX ": "Cineplexx", + "LEGO STORE USCE": "Lego Store", + "FLIK CINEMA": "Flik Cinema", + "GAMES-": "GameS", + "KNJIZARA VULKAN": "Knjizara Vulkan" + }, + "health": { + "BENU ": "Benu", + " APOTEKA ": "Other", + "LILLY ": "Lilly", + "DOM ZDRAVLJA MEDIGROUP": "DOM ZDRAVLJA MEDIGROUP", + "GALEN PHARM": "GALEN PHARM" + }, + "store": { + "BIKELAND": "Bikeland", + "VOXELLAB doo": "", + "JOKO": "JOKO", + "JYSK": "JYSK", + "ROMA COMPANY": "ROMA COMPANY", + "NITEA STORE ": "Nitea Interiors", + "PLANET BIKE": "Planet Bike", + "Planet Bike": "Planet Bike", + "PLANETA SPORT": "PLANETA SPORT", + "Shoe": "Shoe", + "Shop": "Shop" + }, + "service": { + "FOTO LUNA": "Photo Luna", + "Embassy of Russia ": "Embassy of Russia", + "Barbershop OldBoy": "Barbershop OldBoy" + }, + "finance": { + "VIP SISTEM": "VIP Menjacnica", + "GENERALI OSIGURANJE": "Generali Osiguranje", + "UPIT STANJA NA ATM ": "UPIT STANJA NA ATM " + } +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..a67674b --- /dev/null +++ b/requirements.txt @@ -0,0 +1,5 @@ +notebook==6.5.6 +pandas==1.5.3 +numpy==1.26.0 +plotly==5.17.0 +nbformat==5.9.2 \ No newline at end of file diff --git a/utils.py b/utils.py new file mode 100644 index 0000000..fbdd517 --- /dev/null +++ b/utils.py @@ -0,0 +1,97 @@ +import os +import sqlite3 +import json +from datetime import datetime +import pandas as pd +import plotly.express as px +from IPython.display import display +import re + + +def dashboard(items): + queries = get_queries() + for item in items: + query_text = queries[item] if item in queries else item + df = query(query_text) + if df is None or len(df) == 0: + continue + + columns = df.columns.tolist() + if len(columns) == 2 and columns[0] == 'date': + df["date"] = pd.to_datetime(df["date"]) + df = df.sort_values(by="date") + complete_df = pd.DataFrame({"date": pd.date_range( + df["date"].min(), df["date"].max(), freq="D")}) + df = pd.merge(complete_df, df, on="date", how="left").fillna(0) + + fig = px.line(df, x='date', y=columns[1], title=item) + fig.update_layout(xaxis_title="", yaxis_title="") + display(fig) + elif len(columns) == 2 and columns[1] == 'total': + fig = px.pie(df, names=columns[0], + values='total', title=item) + fig.update_traces(textinfo='value+percent') + display(fig) + else: + print(item) + display(df) + + +def get_queries(): + pattern = re.compile( + r'-- (?P[\w\s]+)\n(?P(?:[^-]|-(?!-))+)', re.DOTALL) + queries = {} + with open("dashboard.sql", 'r') as file: + content = file.read() + + for match in pattern.finditer(content): + queries[match.group('name')] = match.group('query') + return queries + + +def parse_ref(ref): + for type in patterns: + for key in patterns[type]: + if key in ref: + return (type, patterns[type][key]) + return ("other", ref) + + +def query(sql_query): + c.execute(sql_query) + if c.description is None: + return + + return pd.DataFrame(list(c.fetchall()), columns=[column[0] for column in c.description]) + + +pd.set_option('display.max_rows', 100) +with open('patterns.json', 'r') as file: + patterns = json.load(file) +rates_rsd = {"RSD": 1, "EUR": 117, "USD": 110} + +txns = [] +for file in [n for n in os.listdir('.') if n.startswith("Raiff_") and n.endswith(".json")]: + with open(file, 'r') as file: + data = json.load(file) + + for account in data['transactions']: + for tx in data['transactions'][account][0][1]: + date = datetime.strptime( + tx[3], '%d.%m.%Y %H:%M:%S').date().strftime('%Y-%m-%d') + ref = tx[6] if tx[6] == tx[14] else tx[6] + " " + tx[14] + sum = float(tx[9]) if tx[8] == '0' else -1 * float(tx[8]) + (kat1, kat2) = parse_ref(ref) + curr = tx[2] + + txns.append((tx[7], sum, sum * rates_rsd[curr], curr, + kat1, kat2, date, tx[13], tx[5], ref, tx[11], account)) + +conn = sqlite3.connect(':memory:') +c = conn.cursor() +c.execute('''CREATE TABLE TX (id TEXT PRIMARY KEY, sum REAL NOT NULL, rsum REAL NOT NULL, curr TEXT NOT NULL, kat1 TEXT NOT NULL, + kat2 TEXT, date DATE NOT NULL, type TEXT NOT NULL, card TEXT NOT NULL, ref TEXT, ref2 TEXT, acc TEXT NOT NULL);''') +c.executemany('''INSERT OR IGNORE INTO TX (id, sum, rsum, curr, kat1, kat2, date, type, card, ref, ref2, acc) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?);''', txns) +c.executescript(get_queries()['init']) +conn.commit()