50 lines
1.7 KiB
Ruby
50 lines
1.7 KiB
Ruby
# frozen_string_literal: true
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RSpec.describe DiscourseAi::Summarization::Strategies::FoldContent do
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describe "#summarize" do
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subject(:strategy) { described_class.new(model) }
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let(:summarize_text) { "This is a text" }
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let(:model_tokens) do
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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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700 + DiscourseAi::Tokenizer::OpenAiTokenizer.size("(1 asd said: This is a text ") + 3
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end
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let(:model) do
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DiscourseAi::Summarization::Models::OpenAi.new("gpt-4", max_tokens: model_tokens)
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end
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let(:content) { { contents: [{ poster: "asd", id: 1, text: summarize_text }] } }
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let(:single_summary) { "this is a single summary" }
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let(:concatenated_summary) { "this is a concatenated summary" }
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let(:user) { User.new }
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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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strategy.summarize(content, user).tap { expect(spy.completions).to eq(1) }
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end
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expect(result[:summary]).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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it "summarizes each chunk and then concatenates them" do
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content[:contents] << { poster: "asd2", id: 2, text: summarize_text }
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result =
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DiscourseAi::Completions::LLM.with_prepared_responses(
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[single_summary, single_summary, concatenated_summary],
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) { |spy| strategy.summarize(content, user).tap { expect(spy.completions).to eq(3) } }
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expect(result[:summary]).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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