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Just a simple repo to calculate how much to request from people after a night out

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Open in Streamlit

Table of Contents

  1. Description
  2. Screenshots
    1. Delivery App Mode
    2. Manual Mode
    3. What Happened
    4. Output
    5. Venmo Preview
  3. How-Tos
    1. Run
    2. Host
  4. Outline
    1. Code Structure
    2. Databases

PayMe

Just a simple repo to calculate how much to request from people after a night out

Screenshots

Delivery App Mode (default)

Manual Mode

What Happened

Output

Venmo Preview

How tos

Run

  1. Clone the repository:
git clone https://github.com/pomkos/payme
cd payme
  1. Create a conda environment (optional):
conda create --name "pay_env"
  1. Activate environment, install python, install dependencies.
conda activate pay_env
conda install python=3.8
pip install -r requirements.txt
  1. Start the application:
streamlit run payme.py
  1. Access the application at localhost:8501

Host

sudo chmod +x install.sh
sudo chmod +x start_me.sh

./install.sh

Installer script will:

  1. Create new environment
  2. Install all required python libraries
  3. Add a cronjob to cron (if user desires, can be done post installation as well)
  4. Start the payme script on port 8501

Outline

Code

The codebase is organized as such:

payme
  |-- apps
      |-- calculator.py     # called by all scripts for the actual calculations
      |-- db_tool.py        # includes helper class to connect to sqlite db and extract currency info
      |-- doordash.py       # specific to doordash receipts, extracts all info
      |-- food_select.py    # used by the complex receipt receiver and the claim your meal pages
      |-- manual_mode.py    # used by default view of payme, using user provided info
      |-- ubereats.py       # specific to ubereats receipts, extracts all info
  |-- data
      |-- currency.db       # stores currency, country, rate info
      |-- food.db           # stores complex receipt info so users can select foods
      |-- names.db          # stores names, variations of names, and mispellings to automatically parse these from all inputs
  |-- images
  |-- .gitignore
  |-- README.md
  |-- payme.py              # the brains behind it all, redirects user provided information to the appropriate scripts in apps folder
  |-- requirements.txt

Databases

Food.db

receipt table

Stores information from the complex receipt receiver on payme

item price amount name people date
Buck to the Future (1.0 bought) 14.0 1.0 Roosevelt Room_05-21 Peter, Matt, Steve, Julie, Aron, Kyle 2021-05-21

food table

Stores information from the claim your meal section on payme. This is what is shown when users click "see everyone's claimed meals"

name food price amount total_item_price label
Peter [dessert] medovik cake (1.0 bought) 8.00 1.0 8.00 Russia House_05-02

Currency.db

country_currency table

country currency code
United Kingdom Pound Sterling GBP

currency_rates table

rate country currency code date_updated
0.729266 United Kingdom Pound Sterling GBP 2021-03-25

Names.db

names table

Just a database of names with different spellings, for easier parsing of info

names
bl@ise

About

Just a simple repo to calculate how much to request from people after a night out

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