Back

Step by Step Guide to Building a Lofty API Integration in Ruby

Aug 13, 20246 minute read

Hey there, fellow developer! Ready to dive into the world of Lofty API integration with Ruby? Let's get cracking!

Introduction

Lofty API is a powerful tool for real estate developers and investors. In this guide, we'll walk you through integrating it into your Ruby project. Trust me, it's easier than finding a needle in a haystack!

Prerequisites

Before we start, make sure you've got:

  • Ruby (preferably 2.7+)
  • Bundler gem
  • Lofty API credentials (if you don't have these, go grab 'em!)

Setting up the project

First things first, let's set up our project:

mkdir lofty_integration cd lofty_integration bundle init

Now, open up that Gemfile and add these gems:

gem 'httparty' gem 'dotenv'

Run bundle install and you're good to go!

Authentication

Alright, time to get those API keys working for you. Create a .env file in your project root:

LOFTY_API_KEY=your_api_key_here
LOFTY_API_SECRET=your_api_secret_here

Now, let's set up a basic client:

require 'httparty' require 'dotenv/load' class LoftyClient include HTTParty base_uri 'https://api.lofty.com/v1' def initialize @options = { headers: { 'Authorization' => "Bearer #{ENV['LOFTY_API_KEY']}", 'Content-Type' => 'application/json' } } end # We'll add more methods here soon! end

Making API requests

Now for the fun part - let's start making some requests!

def get_properties self.class.get('/properties', @options) end def create_property(property_data) self.class.post('/properties', @options.merge(body: property_data.to_json)) end # Add more methods for PUT and DELETE as needed

Implementing key Lofty API endpoints

Let's flesh out our client with some more endpoints:

def get_property(id) self.class.get("/properties/#{id}", @options) end def update_property(id, property_data) self.class.put("/properties/#{id}", @options.merge(body: property_data.to_json)) end def delete_property(id) self.class.delete("/properties/#{id}", @options) end

Parsing and handling responses

HTTParty does a lot of the heavy lifting for us, but let's add some error handling:

def handle_response(response) case response.code when 200..299 response.parsed_response else raise "API request failed: #{response.code} - #{response.message}" end end

Now, update your methods to use this:

def get_properties handle_response(self.class.get('/properties', @options)) end # Do the same for other methods

Implementing pagination

Lofty API uses cursor-based pagination. Let's handle that:

def get_all_properties properties = [] cursor = nil loop do response = get_properties(cursor) properties += response['data'] cursor = response['meta']['next_cursor'] break if cursor.nil? end properties end def get_properties(cursor = nil) options = @options.dup options[:query] = { cursor: cursor } if cursor handle_response(self.class.get('/properties', options)) end

Rate limiting and optimization

To respect rate limits, let's add a simple sleep:

def handle_response(response) sleep(1) # Simple rate limiting # ... rest of the method end

For caching, consider using a gem like redis or memcached.

Error handling and logging

Let's add some logging:

require 'logger' class LoftyClient # ... previous code def initialize # ... previous code @logger = Logger.new(STDOUT) end def handle_response(response) @logger.info "API request: #{response.request.last_uri}" @logger.debug "Response: #{response.body}" # ... rest of the method end end

Testing the integration

Here's a simple RSpec test to get you started:

require 'rspec' require_relative 'lofty_client' RSpec.describe LoftyClient do let(:client) { LoftyClient.new } it 'fetches properties' do VCR.use_cassette('properties') do properties = client.get_properties expect(properties).to be_an(Array) expect(properties.first).to have_key('id') end end end

Don't forget to set up VCR for recording API interactions!

Conclusion

And there you have it! You've just built a solid Lofty API integration in Ruby. Remember, this is just the beginning - there's always room for improvement and optimization. Keep exploring the API docs, and happy coding!