bigbucks-db 0.0.6

This is for FINTECH 512 Group Project Backend Supabase Database

512_BigBucks_Proj_Pkg Documentation

Preview

This is for FINTECH 512 Group Project Backend Supabase Database.

We are using Supabase PostgresSQL database for our project. For more information, visit Supabase Website.

Database Structure

Tables : Customer_Information, Customer_Password, Stock_Name, Stock_Price_Daily_Data, Transaction_Records

1. Customer_Information

Column Name	Type	Keys
customer_id	int	Primary Key
first_name	text	-
last_name	text	-
phone_number	int	-
email_address	text	-
user_name	text	-
password	text	-
created_at	timestamptz	-
account_balance	float	-

2. Stock_Information

Column Name	Type	Keys
stock_symbol	text	Primary Key
stock_full_name	text	-
exchange	text	-
sector	text	-
industry	text	-

3. Stock_Price_Daily_Data

Column Name	Type	Keys
ids	int	Primary Key
stock_symbol	text	-
date	date	-
open	float	-
high	float	-
low	float	-
close	float	-
adjusted_close	float	-
volume	int	-

4. Transaction_Records

Column Name	Type	Keys
transaction_id	int	Primary Key
customer_id	int	Foreign Key to Customer_Information.customer_id
transaction_date	timestamp	-
condition	text	-
stock_symbol	varchar	-
num_shares	int	-
stock_price_realtime	float	-

5. SP500_Index

Column Name	Type	Keys
date	date	Primary Key
close	float	-

Installation

Use the package manager pip to install bigbucks_db.

pip install bigbucks-db

Note : If you want to know more information about this package, please go visit official website.

Functions

1. Database Update

• Update Customer_Information

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
db = Table_Updates(SUPABASE_URL, KEYS, STOCK_API_KEYS)

# first_name : str, last_name : str, phone_number : int, email_address : str, user_name : str, password : str
tmp = db.update_customer_info("Sam", "Jay", 2892892893, "duke@email", "Jay_invest", "duke512")
# tmp[0] is the table name, tmp[1] is the data needs to be updated
db.supabase_insert_function(tmp[0], tmp[1]) 
print(tmp)

• Update Stock_Information

  Note : this function has already integrated to update Transaction_Records function

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
db = Table_Updates(SUPABASE_URL, KEYS, STOCK_API_KEYS)

# stock_symbol : str, stock_full_name : str, exchange : str, sector : str, industry : str
tmp = db.update_stock_details("AAPL","Apple","NYSE","Tech","COMPUTER & OFFICE EQUIPMENT")
# tmp[0] is the table name, tmp[1] is the data needs to be updated
db.supabase_insert_function(tmp[0], tmp[1]) 
print(tmp)

• Update Stock_Price_Daily_Data

  Note : this function has already integrated to update 5 years stock price data function (part3)

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
db = Table_Updates(SUPABASE_URL, KEYS, STOCK_API_KEYS)

# stock_symbol : str, date, open_ : float, high : float, low : float, close : float, adjusted_close : float, volume : int
tmp = db.update_stock_daily_price("AAPL", "2022-12-15",122.12,112.89,122.02,132.12,122.73,231231)
# tmp[0] is the table name, tmp[1] is the data needs to be updated
db.supabase_insert_function(tmp[0], tmp[1]) 
print(tmp)

• Update Transaction_Records

  Note : by running this function, both Stock_Information table and Customer_Information's account balance will be also synchronized, now can also update the Stock_Price_Daily_Data at the same time

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
db = Table_Updates(SUPABASE_URL, KEYS, STOCK_API_KEYS)

# Alpha Vantage API keys goes here
stock = Buy_And_Sell(STOCK_API_KEY)
price = stock.get_realtime_stock_price(stock_symbol) # "AAPL" in this case

# user_name : str, stock_symbol : str, num_shares : int, stock_price_realtime : float, condition : str
tmp = db.update_transaction_records("Jay_invest", "buy", "AAPL", 123, price) # condition be "sell" or "buy"
# tmp[0] is the table name, tmp[1] is the data needs to be updated
db.supabase_insert_function(tmp[0], tmp[1]) 
print(tmp)

2. Get Realtime Stock Data

from bigbucks_db import *

# Enter stock keys here
STOCK_API_KEYS = ""
objs = Buy_And_Sell(STOCK_API_KEYS)

# realtime stock data within 1 mins interval
stock_symbol = ""
price = objs.get_realtime_stock_price(stock_symbol)
print(price)
# or you could use backup function to get price in case above function fail
price2 = objs.realtime_price_bkp(stock_symbol)
print(price2)

3. Update 5 Years Stock Price Data

​ Note : only when customers buy stocks to implement this function since it will only go though the stock_information table

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
stock = Stock_Data(SUPABASE_URL, KEYS, STOCK_API_KEYS)

# update all stock price goes here - if all symbols already existed, message "stock symbol already exists" will show up
data = stock.update_all_stock_price()

4. View Table Data

• Set up object

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
objs = Table_View(SUPABASE_URL, KEYS)

• View all data without querying

# table_name : str 
# select from "Customer_Information", "Stock_Information", "Stock_Price_Daily_Data", "Transaction_Records"
table_name = "Transaction_Records"
data = objs.view_table_data(table_name)
print(data)

​ Example results :

[{'transaction_id': 7, 'customer_id': 6, 'transaction_date': '2023-04-01T20:35:29.239042', 'stock_symbol': 'AAPL', 'num_shares': 100, 'stock_price_realtime': 164.839996337891, 'condition': 'buy'}, {'transaction_id': 10, 'customer_id': 6, 'transaction_date': '2023-04-01T20:37:52.832943', 'stock_symbol': 'AAPL', 'num_shares': 100, 'stock_price_realtime': 164.839996337891, 'condition': 'sell'}]

• View stock price with querying

# symbol_name : str
symbol_name = "AAPL"
data = objs.view_symbol_price_data(symbol_name)
print(data)

​ Example results :

[{'stock_symbol': 'AAPL', 'date': '2018-04-10', 'open': 173, 'high': 174, 'low': 171.53, 'close': 173.25, 'adjusted_close': 41.2348154406459, 'volume': 28614241, 'ids': 1254}, {'stock_symbol': 'AAPL', 'date': '2018-04-09', 'open': 169.88, 'high': 173.09, 'low': 169.85, 'close': 170.05, 'adjusted_close': 40.4731911439067, 'volume': 29017718, 'ids': 1255}]

5. View Customers' Transaction Records & Current Portfolio

Note : those are back up functions

• View customers' transaction records

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""

objs = Table_View(SUPABASE_URL, KEYS)
# user_name : str
user_name = "Jeffd"
results = objs.view_customer_transaction(user_name)
print(results)

​ Example results :

{'AAPL': [('buy', 100, 164.839996337891), ('sell', 100, 164.839996337891)], 'IBM': [('sell', 100, 164.839996337891), ('buy', 100, 164.839996337891), ('buy', 100, 131.070007324219)]}

• View customers' current portfolio

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""

objs = Table_View(SUPABASE_URL, KEYS)
# user_name : str
user_name = "Jeffd"
results = objs.view_customer_portfolio(user_name)
print(results)

​ Example results :

{'IBM': {'shares': 100}}

6. Update 5 Years SP500

Note : this is only for demostration and no need to run this code - all data has already updated

# Example Code
# below are information needs to be included
from bigbucks_db import *
# Enter database url and keys here
SUPABASE_URL = ""
KEYS = ""
STOCK_API_KEYS = ""
sp500 = SP500(SUPABASE_URL, KEYS, STOCK_API_KEYS)
updates = sp500.update_sp_500()

# you can also get realtime SP500 data
data = realtime_sp500()
print(data)

Other

Note :

- user_name is unique

- account_balance is set default to 1,000,000 as new customer registered

Update

Use the package manager pip to upgrade bigbucks-db.