convert slim templates to haml using openai

slim_to_haml.rb

# frozen_string_literal: true

require 'openai'
require 'fileutils'
require 'haml'

# Initialize OpenAI client
openai_client = OpenAI::Client.new(access_token: ENV.fetch('OPENAI_ACCESS_TOKEN'), log_errors: true)

# Root directory containing Slim templates
root_directory = 'app/views'

# Function to convert Slim to HAML using ChatGPT
def convert_slim_to_haml(openai_client, slim_content, error_message = nil)
  prompt = "Convert the following Slim template to HAML. Only provide the HAML code, without any explanations or extra text:\n\n#{slim_content}"
  prompt += "\n\nThe following error occurred during the conversion: #{error_message}" if error_message

  response = openai_client.chat(
    parameters: {
      model: 'gpt-4',
      messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: prompt }
      ],
      response_format: { type: 'text' }
    }
  )
  haml_content = response.dig('choices', 0, 'message', 'content').strip
  haml_content.sub(/^```(haml)?\n/, '').sub("\n```", '')
end

def valid_haml?(haml_content)
  Haml::Parser.new(Haml::Engine.options.to_h).call(haml_content)
  true
rescue Haml::Error => e
  puts "HAML validation error: #{e.message}"
  false
end

# Function to process a directory recursively
def process_directory(openai_client, directory)
  Dir.glob(File.join(directory, '**', '*.slim')).each do |slim_file|
    # Read the Slim template
    slim_template = File.read(slim_file)

    # First attempt to convert the Slim template to HAML using ChatGPT
    haml_content = convert_slim_to_haml(openai_client, slim_template)

    unless valid_haml?(haml_content)
      # Second attempt with error message if the first attempt fails
      puts "First attempt failed, trying again with error message"
      haml_content = convert_slim_to_haml(openai_client, slim_template, "Initial conversion produced invalid HAML.")
    end

    if valid_haml?(haml_content)
      # Define the HAML file path (same location, different extension)
      haml_file = slim_file.sub(/\.slim$/, '.haml')

      # Write the HAML template to the new file
      File.write(haml_file, haml_content)
      FileUtils.rm(slim_file)

      puts "Converted #{slim_file} to #{haml_file}"
    else
      puts "Skipping invalid HAML content for #{slim_file}"
    end
  end
end

# Process the root directory recursively
process_directory(openai_client, root_directory)

puts "Conversion completed!"