This project is a coding challenge designed to assess technical skills in Ruby on Rails, front-end frameworks, and asynchronous form handling. The goal is to create a simple web form that allows users to input a dog breed and, upon submission, fetch and display an image of the specified breed from the Dog API.

• Objective
• Challenge Description
• Technologies Used
• Hosted App
• Setup Instructions
• Usage
• Deployment
• Improvement Areas

The objective of this coding challenge is to demonstrate proficiency in Ruby on Rails, front-end development using Bootstrap or Tailwind, and asynchronous form handling. The challenge provides an opportunity to showcase coding style, problem-solving skills, and the ability to integrate with external APIs.

Design a web form with the following features:

• A text input field labeled "Breed".
• A button to submit the form.
• On form submission, fetch an image of the specified dog breed from the Dog API.
• Display the fetched image and the breed name to the right of the form.

• Backend: Ruby on Rails
• Frontend: Tailwind, Hotwire
• API: Dog API
• Version Control: Git
• Hosting: Render

https://doggie-fb2k.onrender.com/

Please expect some delay in the initial response. As this is a free instance, it may spin down during periods of inactivity, potentially causing delays of 50 seconds or more for requests.

1. Install Ruby Follow the instructions to install Ruby 3.1.3: https://www.ruby-lang.org/en/documentation/installation/ You can use Dockerfile as well to build the environment.

2. Clone the Repository:

   git clone https://github.com/RajRoR/doggie.git
   cd doggie
   

3. Install Dependencies

   bundle install

4. Start Server

   ./bin/dev

5. Access the Application: Open your browser and navigate to http://localhost:3000

6. Run RSpec Tests (optional)

   rspec spec

1. Enter the name of the dog breed in the "Breed" input field. E.g.: African, French Bulldog, Husky, etc.
2. Click the "Surprise Me!" button.
3. An image of the specified dog breed will be displayed to the right of the form, along with the breed name.

The CI/CD pipeline is set up for the repo. It verify each commit with various checks. It automatically deploys whenever a new commit is pushed or merged into the main branch.

1. Better Responsive Design
2. Fuzzy-Matching for Input
   • Implement fuzzy-matching to make the system more intelligent and improve user experience.
3. Beautify HTML Validation Messages
   • Enhance HTML validation messages or replace them with custom designs.
4. Dynamic Image Dimensions
   • Handling of image dimensions, especially for images with non-standard dimensions.
5. Introduce Database and Table for Breeds
   • Create a database and table to store and query available breeds.
   • Develop a rake task to fetch and store/update the table periodically or as needed using data from the Breeds List API.
   • Add a cron job to run this rake task periodically.
   • Use the breeds list data to validate input breed values before making the API call.
6. Use Custom Validators, Concerns, etc.
7. Higher Test Coverage