56 lines
1.9 KiB
Ruby
56 lines
1.9 KiB
Ruby
# frozen_string_literal: true
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RSpec.describe DiscourseAi::Summarization::FoldContent do
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subject(:summarizer) { DiscourseAi::Summarization.topic_summary(topic) }
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describe "#summarize" do
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let!(:llm_model) { assign_fake_provider_to(:ai_summarization_model) }
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fab!(:topic) { Fabricate(:topic, highest_post_number: 2) }
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fab!(:post_1) { Fabricate(:post, topic: topic, post_number: 1, raw: "This is a text") }
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before do
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SiteSetting.ai_summarization_enabled = true
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# Make sure each content fits in a single chunk.
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# 700 is the number of tokens reserved for the prompt.
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model_tokens =
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700 +
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DiscourseAi::Tokenizer::OpenAiTokenizer.size(
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"(1 #{post_1.user.username_lower} said: This is a text ",
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) + 3
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llm_model.update!(max_prompt_tokens: model_tokens)
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end
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let(:single_summary) { "single" }
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let(:concatenated_summary) { "this is a concatenated summary" }
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fab!(:user)
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context "when the content to summarize fits in a single call" do
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it "does one call to summarize content" do
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result =
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DiscourseAi::Completions::Llm.with_prepared_responses([single_summary]) do |spy|
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summarizer.summarize(user).tap { expect(spy.completions).to eq(1) }
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end
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expect(result.summarized_text).to eq(single_summary)
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end
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end
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context "when the content to summarize doesn't fit in a single call" do
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fab!(:post_2) { Fabricate(:post, topic: topic, post_number: 2, raw: "This is a text") }
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it "keeps extending the summary until there is nothing else to process" do
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result =
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DiscourseAi::Completions::Llm.with_prepared_responses(
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[single_summary, concatenated_summary],
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) { |spy| summarizer.summarize(user).tap { expect(spy.completions).to eq(2) } }
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expect(result.summarized_text).to eq(concatenated_summary)
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end
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end
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end
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end
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