# frozen_string_literal: true

module DiscourseAi
  module Completions
    module Dialects
      class OpenAiCompatible < Dialect
        class << self
          def can_translate?(_llm_model)
            # fallback dialect
            true
          end
        end

        def tokenizer
          llm_model&.tokenizer_class || DiscourseAi::Tokenizer::Llama3Tokenizer
        end

        def tools
          @tools ||= tools_dialect.translated_tools
        end

        def max_prompt_tokens
          return llm_model.max_prompt_tokens if llm_model&.max_prompt_tokens

          32_000
        end

        def translate
          translated = super

          return translated unless llm_model.lookup_custom_param("disable_system_prompt")

          system_msg, user_msg = translated.shift(2)

          if user_msg[:content].is_a?(Array) # Has inline images.
            user_msg[:content].first[:text] = [
              system_msg[:content],
              user_msg[:content].first[:text],
            ].join("\n")
          else
            user_msg[:content] = [system_msg[:content], user_msg[:content]].join("\n")
          end

          translated.unshift(user_msg)
        end

        private

        def system_msg(msg)
          msg = { role: "system", content: msg[:content] }

          if tools_dialect.instructions.present?
            msg[:content] = msg[:content].dup << "\n\n#{tools_dialect.instructions}"
          end

          msg
        end

        def model_msg(msg)
          { role: "assistant", content: msg[:content] }
        end

        def tool_call_msg(msg)
          translated = tools_dialect.from_raw_tool_call(msg)
          { role: "assistant", content: translated }
        end

        def tool_msg(msg)
          translated = tools_dialect.from_raw_tool(msg)
          { role: "user", content: translated }
        end

        def user_msg(msg)
          content = +""
          content << "#{msg[:id]}: " if msg[:id]
          content << msg[:content]

          message = { role: "user", content: content }

          message[:content] = inline_images(message[:content], msg) if vision_support?

          message
        end

        def inline_images(content, message)
          encoded_uploads = prompt.encoded_uploads(message)
          return content if encoded_uploads.blank?

          encoded_uploads.reduce([{ type: "text", text: message[:content] }]) do |memo, details|
            memo << {
              type: "image_url",
              image_url: {
                url: "data:#{details[:mime_type]};base64,#{details[:base64]}",
              },
            }
          end
        end
      end
    end
  end
end