US Sales Tax Rates

This is a simple script that loads a directory of CSV files into a MySQL database

Requirements

• MySQL server accessible by your app
• Python 3

Setup (env variables)

# environment variables passed into app
export TAX_RATES_DB_HOST=localhost
export TAX_RATES_DB_PORT=3306
export TAX_RATES_DB_NAME=tax_rates
export TAX_RATES_DB_USER=user_tax
export TAX_RATES_DB_PASS=unclesam

export FLASK_APP=app.py

Install (manual)

• git clone [email protected]:mikesparr/us-sales-tax-rates.git
• cd us-sales-tax-rates
• python3 -m venv /path/to/env
• source /path/to/env/bin/activate
• pip install -r requirements.txt
• source .env (where you set up env var)

Loading data from CSV into database

• python loader.py

Running application and exposing API

• python app.py

Install (Docker)

Using Docker Compose, this can spin up a database and app container that can see each other. Note that the mysql image wasn't working loading data, so I switched to mariadb image and it works. The pause for users to load may not be necessary in the run script but added just in case.

docker-compose up

Usage

http://localhost:5000/rate/94123 (where 94123 is a 5-digit US zip code)

curl localhost:5000/rate/94123

Returns:

{
  "error": null,
  "rate": {
    "estimated_city_rate": 0.0,
    "estimated_combined_rate": 0.085,
    "estimated_county_rate": 0.0025,
    "risk_level": 2.0,
    "state_code": "CA",
    "state_rate": 0.06,
    "tax_region": "SAN FRANCISCO COUNTY",
    "zip_code": 94123
  }
}

Database Access

mysql --host=127.0.0.1 --port=32000 -u root -p