rails-eats Backend v1
Project Overview
rails-eats Backend v1 was developed as part of the phase 5 project for Flatiron School in Houston, Texas. This Ruby on Rails application serves as the backend for the rails-eats food discovery platform, aiming to streamline the process of finding dining options quickly and efficiently.
Note: This project is no longer in active development. For the latest version, please see EATS 2024.
Key Features
- Efficient Food Discovery API: Provides endpoints for quick and relevant food option retrieval.
- Location Services: Enables easy access to restaurant locations.
- Data Management: Handles persistence of restaurant and user preference data.
- Scalable Architecture: Designed to support the frontend's user-friendly interface.
Technologies Used
- Framework: Ruby on Rails
- Database: PostgreSQL (or specify if different)
- API Design: RESTful principles
- Ruby Version: 2.6.1
Development Goals
- Rapid Food Search: Implemented algorithms to return relevant dining options quickly.
- Location Integration: Developed endpoints to provide accurate and easily accessible location data.
- Performance Optimization: Focused on response time optimization for a seamless user experience.
- Scalability: Designed the backend to handle potential growth in user base and data volume.
Setup and Installation
To set up the rails-eats Backend v1 locally:
- Clone the repository:
git clone https://github.com/your-username/rails-eats-backend-v1.git
- Navigate to the project directory:
cd rails-eats-backend-v1
- Ensure Ruby 2.6.1 is installed
- Install dependencies:
bundle install
- Configure database settings and environment variables
- Set up the database:
rails db:create db:migrate
- Start the server:
rails server
The API will be accessible at http://localhost:3000
.
API Endpoints
(List and briefly describe the main API endpoints, e.g.:)
GET /api/restaurants
: Retrieves a list of nearby restaurants.GET /api/restaurants/:id
: Fetches detailed information about a specific restaurant.POST /api/user_preferences
: Saves user dining preferences.
Challenges and Solutions
- Data Efficiency: Optimized database queries to ensure quick retrieval of relevant restaurant data.
- Location Accuracy: Implemented precise geolocation services for accurate restaurant recommendations.
- User Experience: Designed API responses to support a smooth and intuitive frontend interface.
Conclusion
rails-eats Backend v1 demonstrates my ability to create a robust backend system that addresses a real-world problem. This project showcases my skills in Ruby on Rails, API development, and backend architecture focused on user-centric design. While no longer in active development, it served as a crucial foundation for understanding the complexities of food discovery applications and laid the groundwork for more advanced iterations.