mapineda / veda-solutions

Veda Solutions

About

Simple MLB stats scraper that takes pandas dataframe and converts to json file The data in the .json file is then wrapped in an object-array and then served locally on port: 5000

Pre-requisites:

• Docker

How to:

Set up:

• in root mlb-app build docker container docker-compose -f local.yml build

Run:

• run the stack docker-compose -f local.yml up

Create a User

1. run migrations docker-compose -f local.yml run --rm django python manage.py migrate
2. run create superuser command docker-compose -f local.yml run --rm django python manage.py createsuperuser
3. navigate to http://0.0.0.0:8025/ to confirm email

Methodology:

This application was created using cookie-cutter django for quick setup of a production-ready django project.

Structure:

mlb-app uses a task management system (celery) to scrape data that will be saved in our database (postgres). This data is then serialized and served over api endpoints.