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dms-bp's Introduction

DMS - BP

A prototype data management system for machine learning

To-Do

  • Protect API Routes
  • Update front landing page

Setup

  • git clone https://github.com/zwerb/dms-bp.git
  • cd dms-bp
  • npm install

Create Databases

  • Postgres: start Postgres Docker or install Postgres local
export MY_APP_NAME=dms-bp
  createdb $MY_APP_NAME
  createdb $MY_APP_NAME-test

  psql -c 'create database "dms-bp";' -U $USER postgres
  • Create a file secrets.js in the project root
    • touch secrets.js

OAuth

  • In secrets.js:
process.env.GOOGLE_CLIENT_ID = 'hush hush'
process.env.GOOGLE_CLIENT_SECRET = 'pretty secret'
process.env.GOOGLE_CALLBACK = '/auth/google/callback'

Linting

Start

Running:

  • npm run start-dev Or run wepack and server, separately:
    • npm run build-client
    • npm run start-server

Deployment

  • Edit script in bash/deploy
  1. To run the script:
  • git branch -d deploy
  • npm run deploy

Tests and Pre-commit

Husky is installed to apply hooks to git

  • before commit is executed, husky will run all scripts in:

    • client/.spec
    • server/.spec
    • script/.spec
  • this can be edited in .git/ hooks

dms-bp's People

Contributors

tmkelly28 avatar glebec avatar collin avatar geoffbass avatar zwerb avatar fterdal avatar avillr avatar sethfork avatar b17z avatar khumphrey avatar luigilegion avatar dakotablair avatar omriackley avatar queerviolet avatar connieelee avatar dadewoyin avatar dpatlut avatar knxyzkn avatar short-matthew-f avatar rinaldo avatar dependabot[bot] avatar

Watchers

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