53 lines
1.7 KiB
Ruby
53 lines
1.7 KiB
Ruby
# frozen_string_literal: true
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require_relative "../support/toxicity_inference_stubs"
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describe DiscourseAi::ChatMessageClassificator do
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fab!(:chat_message) { Fabricate(:chat_message) }
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let(:model) { DiscourseAi::Toxicity::ToxicityClassification.new }
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let(:classification) { described_class.new(model) }
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describe "#classify!" do
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before { ToxicityInferenceStubs.stub_chat_message_classification(chat_message, toxic: true) }
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it "stores the model classification data" do
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classification.classify!(chat_message)
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result =
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ClassificationResult.find_by(target_id: chat_message.id, classification_type: model.type)
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classification = result.classification.symbolize_keys
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expect(classification).to eq(ToxicityInferenceStubs.toxic_response)
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end
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it "flags the message when the model decides we should" do
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SiteSetting.ai_toxicity_flag_automatically = true
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classification.classify!(chat_message)
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expect(ReviewableAiChatMessage.where(target: chat_message).count).to eq(1)
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end
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it "doesn't flags the message if the model decides we shouldn't" do
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SiteSetting.ai_toxicity_flag_automatically = false
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classification.classify!(chat_message)
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expect(ReviewableAiChatMessage.where(target: chat_message).count).to be_zero
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end
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it "includes the model accuracy in the payload" do
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SiteSetting.ai_toxicity_flag_automatically = true
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classification.classify!(chat_message)
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reviewable = ReviewableAiChatMessage.find_by(target: chat_message)
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expect(
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reviewable.payload.dig("accuracies", SiteSetting.ai_toxicity_inference_service_api_model),
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).to be_zero
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end
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end
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end
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