# frozen_string_literal: true

module DiscourseAi
  module Embeddings
    class Models
      MODEL = Data.define(:name, :dimensions, :max_sequence_lenght, :functions, :type, :provider)

      SEARCH_FUNCTION_TO_PG_INDEX = {
        dot: "vector_ip_ops",
        cosine: "vector_cosine_ops",
        euclidean: "vector_l2_ops",
      }

      SEARCH_FUNCTION_TO_PG_FUNCTION = { dot: "<#>", cosine: "<=>", euclidean: "<->" }

      def self.enabled_models
        setting = SiteSetting.ai_embeddings_models.split("|").map(&:strip)
        list.filter { |model| setting.include?(model.name) }
      end

      def self.list
        @@list ||= [
          MODEL.new(
            "all-mpnet-base-v2",
            768,
            384,
            %i[dot cosine euclidean],
            [:symmetric],
            "discourse",
          ),
          MODEL.new(
            "all-distilroberta-v1",
            768,
            512,
            %i[dot cosine euclidean],
            [:symmetric],
            "discourse",
          ),
          MODEL.new("multi-qa-mpnet-base-dot-v1", 768, 512, [:dot], [:symmetric], "discourse"),
          MODEL.new(
            "paraphrase-multilingual-mpnet-base-v2",
            768,
            128,
            [:cosine],
            [:symmetric],
            "discourse",
          ),
          MODEL.new("msmarco-distilbert-base-v4", 768, 512, [:cosine], [:asymmetric], "discourse"),
          MODEL.new("msmarco-distilbert-base-tas-b", 768, 512, [:dot], [:asymmetric], "discourse"),
          MODEL.new(
            "text-embedding-ada-002",
            1536,
            2048,
            [:cosine],
            %i[:symmetric :asymmetric],
            "openai",
          ),
        ]
      end
    end
  end
end