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16 changes: 8 additions & 8 deletions README.md
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Expand Up @@ -2,7 +2,7 @@

[Live Version](http://www.openstable.site/)

OpenStable is a restaurant reservation web application with an [OpenTable](https://www.opentable.com/start/home) inspired user experience. It was built using a PostgreSQL server, Ruby on Rails backend, and a React.js frontend.
OpenStable is a restaurant reservation web application with an [OpenTable](https://www.opentable.com/start/home) inspired user experience. It was built using a PostgreSQL server, Ruby on Rails backend, and a React.js frontend :)

## Features

Expand Down Expand Up @@ -46,10 +46,10 @@ A restaurant has many tables, each with a name and a minimum and maximum number

Each table has many bookings with an associated user, number of guest, and start time and date (the combination of which is stored as a DateTime). Users can search a particular restaurant or city for bookings on the home page, restaurant index page, or restaurant show page. Each restaurant can also choose their booking strategy from among four options:

* normal: offer the smallest table that accommodates the party
* generous: offer the largest table that accommodates the party
* greedy: offer only tables that are completely full
* hipster: report they are full 50% of the time, normal otherwise
- normal: offer the smallest table that accommodates the party
- generous: offer the largest table that accommodates the party
- greedy: offer only tables that are completely full
- hipster: report they are full 50% of the time, normal otherwise

Depending on the strategy, the associated tables of a given restaurant are searched and ordered accordingly, before examining the tables to determine which times +/- 1 hour around a desired time are available at the restaurant.

Expand Down Expand Up @@ -129,6 +129,6 @@ As mentioned above, the styling of this site was inspired by [OpenTable](https:/

### Future Directions

* Improve querying of restaurant review data
* Better handle invalid search input
* Points for using the site
- Improve querying of restaurant review data
- Better handle invalid search input
- Points for using the site