dsshim / keevah

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

The Pivot - Keevahh

Keevahh is a micro-lending platform that allows both lenders and borrowers to interact. Borrowers are able to create a project or loan request and lenders are able to contribute to various projects.

The project specifications can be found here

Find Us Here on Heroku

Working With Data Dumps

Loading the pre-seeded DB dump

This project includes a rake task to load a pre-seeded DB dump with all the data you will need. It is currently stored on Turing's dropbox. To download and import it, use this rake task:

$ rake db:pg_restore

Pushing Data to Heroku

Once you've populated your local DB, you can also push those records to a heroku instance.

  1. Create heroku instance (heroku create)
  2. Use heroku pg:push to export your local data into the instance. For example:
$ heroku pg:push the_pivot_development DATABASE_URL

Contributor Log

License

The MIT License (MIT)

Copyright (c) [2015]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

About


Languages

Language:Ruby 73.1%Language:HTML 22.5%Language:CSS 3.9%Language:JavaScript 0.5%Language:CoffeeScript 0.1%