Class: SentimentInsights::Clients::Sentiment::OpenAIClient

Inherits:
Object
  • Object
show all
Defined in:
lib/sentiment_insights/clients/sentiment/open_ai_client.rb

Constant Summary collapse

DEFAULT_MODEL = 
"gpt-3.5-turbo"
DEFAULT_RETRIES = 
3

Instance Method Summary collapse

Constructor Details

#initialize(api_key: ENV['OPENAI_API_KEY'], model: DEFAULT_MODEL, max_retries: DEFAULT_RETRIES, return_scores: true) ⇒ OpenAIClient

Returns a new instance of OpenAIClient.



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# File 'lib/sentiment_insights/clients/sentiment/open_ai_client.rb', line 13

def initialize(api_key: ENV['OPENAI_API_KEY'], model: DEFAULT_MODEL, max_retries: DEFAULT_RETRIES, return_scores: true)
  @api_key = api_key or raise ArgumentError, "OpenAI API key is required"
  @model = model
  @max_retries = max_retries
  @return_scores = return_scores
  @logger = Logger.new($stdout)
end

Instance Method Details

#analyze_entries(entries, question: nil, prompt: nil, batch_size: 50) ⇒ Object 



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# File 'lib/sentiment_insights/clients/sentiment/open_ai_client.rb', line 21

def analyze_entries(entries, question: nil, prompt: nil, batch_size: 50)
  all_sentiments = []

  entries.each_slice(batch_size) do |batch|
    prompt_content = build_prompt_content(batch, question: question, prompt: prompt)
    request_body = {
      model: @model,
      messages: [
        { role: "user", content: prompt_content }
      ],
      temperature: 0.0
    }

    uri = URI("https://api.openai.com/v1/chat/completions")
    http = Net::HTTP.new(uri.host, uri.port)
    http.use_ssl = true

    response_content = nil
    attempt = 0

    while attempt < @max_retries
      attempt += 1
      request = Net::HTTP::Post.new(uri)
      request["Content-Type"] = "application/json"
      request["Authorization"] = "Bearer #{@api_key}"
      request.body = JSON.generate(request_body)

      begin
        response = http.request(request)
      rescue StandardError => e
        @logger.error "OpenAI API request error: #{e.class} - #{e.message}"
        raise
      end

      status = response.code.to_i
      if status == 429
        @logger.warn "Rate limit (HTTP 429) on attempt #{attempt}. Retrying..."
        sleep(2 ** (attempt - 1))
        next
      elsif status != 200
        @logger.error "Request failed (#{status}): #{response.body}"
        raise "OpenAI API Error: #{status}"
      else
        data = JSON.parse(response.body)
        response_content = data.dig("choices", 0, "message", "content")
        break
      end
    end

    sentiments = parse_sentiments(response_content, batch.size)
    all_sentiments.concat(sentiments)
  end

  all_sentiments
end