52 lines
1.2 KiB
Ruby
52 lines
1.2 KiB
Ruby
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# frozen_string_literal: true
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module DiscourseAi
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module Configuration
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class EmbeddingsModuleValidator
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def initialize(opts = {})
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@opts = opts
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end
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def valid_value?(val)
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return true if val == "f"
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return true if Rails.env.test?
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chosen_model = SiteSetting.ai_embeddings_model
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return false if !chosen_model
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representation =
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DiscourseAi::Embeddings::VectorRepresentations::Base.find_representation(chosen_model)
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return false if representation.nil?
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if !representation.correctly_configured?
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@representation = representation
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return false
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end
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if !can_generate_embeddings?(chosen_model)
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@unreachable = true
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return false
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end
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true
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end
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def error_message
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return(I18n.t("discourse_ai.embeddings.configuration.model_unreachable")) if @unreachable
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@representation&.configuration_hint
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end
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def can_generate_embeddings?(val)
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DiscourseAi::Embeddings::VectorRepresentations::Base
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.find_representation(val)
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.new(DiscourseAi::Embeddings::Strategies::Truncation.new)
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.vector_from("this is a test")
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.present?
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end
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end
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end
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end
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