octetful / flavourate-ui

Flavourate is a self hosted, open source application that allows adding and rating new restaurants that you, your friends or family, visit and enjoy.

• 👋 Hi, I’m @octetful, aka Sid
• 👀 I’m interested in distributed apps, kotlin, graph databases, and DDD practices
• 🌱 I’m currently learning kafka streams, and helm charts
• 💞️ I’m looking to collaborate on my pet projects Karmayoga and Karmayoga Web
• 📫 How to reach me

flavourate-ui's Issues

Add test case coverage for existing components.

The current test coverage of this project is quite poor. We should add test coverage for all existing components.

Add docker support to run the app in a container.

Add a Dockerfile that would enable building images from the app and running it in a container.

Add a dialog box for new restaurant entries.

Add a dialog box that should popup when the floating add action button is clicked. It should contain a form with all the fields to add a new restaurant as well as a close/cancel button.

Use Google Places library to geofence and display matching nearby places.

Use the Google Places API to retrieve a list of nearby places, filtering only the ones known in the current dataset, and display the filtered set on the map and carousel.

Make restaurants stateful.

Currently the restaurant data is hardcoded in the app. Make this a stateful data using react hooks, as a first step to retrieve and store it from a backend.

Add geolocation api support to retrieve and display current location.

Use the geolocation api to retrieve the current location and display it on the map.

Add cost indicator to the RestaurantCards.

Add a cost indicator to the RestaurantCard.

Primarily a cost indicator is another filled chip displaying the price range of a restaurant on a scale of 1-5, displayed as a sequence of the localised currency set in a configuration.

For instance, if the localised currency is set to £, a super pricey restaurant would have a chip displaying £££££ while the cheapest restaurant would display £.

Enable the search feature.

When the search button is clicked, the app should filter the displayed list of restaurants to only show the matching ones.

Free text matching is done on the name of the restaurant, the type, and the description fields.