117 lines
3.7 KiB
Ruby
117 lines
3.7 KiB
Ruby
# frozen_string_literal: true
|
|
|
|
require_relative "../../../../support/anthropic_completion_stubs"
|
|
|
|
RSpec.describe DiscourseAi::Summarization::Models::Anthropic do
|
|
let(:model) { "claude-v1" }
|
|
let(:max_tokens) { 720 }
|
|
|
|
subject { described_class.new(model, max_tokens: max_tokens) }
|
|
|
|
let(:content) do
|
|
{
|
|
resource_path: "/t/1/POST_NUMBER",
|
|
content_title: "This is a title",
|
|
contents: [{ poster: "asd", id: 1, text: "This is a text" }],
|
|
}
|
|
end
|
|
|
|
def expected_messages(contents, opts)
|
|
base_prompt = <<~TEXT
|
|
Human: Summarize the following forum discussion inside the given <input> tag.
|
|
Include only the summary inside <ai> tags.
|
|
Try generating links as well the format is #{opts[:resource_path]}.
|
|
The discussion title is: #{opts[:content_title]}.
|
|
Don't use more than 400 words.
|
|
TEXT
|
|
|
|
text =
|
|
contents.reduce("") do |memo, item|
|
|
memo += "(#{item[:id]} #{item[:poster]} said: #{item[:text]} "
|
|
end
|
|
|
|
base_prompt += "<input>#{text}</input>\nAssistant:\n"
|
|
end
|
|
|
|
describe "#summarize_in_chunks" do
|
|
context "when the content fits in a single chunk" do
|
|
it "performs a request to summarize" do
|
|
opts = content.except(:contents)
|
|
|
|
AnthropicCompletionStubs.stub_response(
|
|
expected_messages(content[:contents], opts),
|
|
"<ai>This is summary 1</ai>",
|
|
)
|
|
|
|
summarized_chunks =
|
|
subject.summarize_in_chunks(content[:contents], opts).map { |c| c[:summary] }
|
|
|
|
expect(summarized_chunks).to contain_exactly("This is summary 1")
|
|
end
|
|
end
|
|
|
|
context "when the content fits in multiple chunks" do
|
|
it "performs a request for each one to summarize" do
|
|
content[:contents] << {
|
|
poster: "asd2",
|
|
id: 2,
|
|
text: "This is a different text to summarize",
|
|
}
|
|
opts = content.except(:contents)
|
|
|
|
content[:contents].each_with_index do |item, idx|
|
|
AnthropicCompletionStubs.stub_response(
|
|
expected_messages([item], opts),
|
|
"<ai>This is summary #{idx + 1}</ai>",
|
|
)
|
|
end
|
|
|
|
summarized_chunks =
|
|
subject.summarize_in_chunks(content[:contents], opts).map { |c| c[:summary] }
|
|
|
|
expect(summarized_chunks).to contain_exactly("This is summary 1", "This is summary 2")
|
|
end
|
|
end
|
|
end
|
|
|
|
describe "#concatenate_summaries" do
|
|
it "combines all the different summaries into a single one" do
|
|
messages = <<~TEXT
|
|
Human: Concatenate the following disjoint summaries inside the given input tags, creating a cohesive narrative.
|
|
Include only the summary inside <ai> tags.
|
|
<input>summary 1</input>
|
|
<input>summary 2</input>
|
|
Assistant:
|
|
TEXT
|
|
|
|
AnthropicCompletionStubs.stub_response(messages, "<ai>concatenated summary</ai>")
|
|
|
|
expect(subject.concatenate_summaries(["summary 1", "summary 2"])).to eq(
|
|
"concatenated summary",
|
|
)
|
|
end
|
|
end
|
|
|
|
describe "#summarize_with_truncation" do
|
|
let(:max_tokens) { 709 }
|
|
|
|
it "truncates the context to meet the token limit" do
|
|
opts = content.except(:contents)
|
|
|
|
instructions = <<~TEXT
|
|
Human: Summarize the following forum discussion inside the given <input> tag.
|
|
Include only the summary inside <ai> tags.
|
|
Try generating links as well the format is #{opts[:resource_path]}.
|
|
The discussion title is: #{opts[:content_title]}.
|
|
Don't use more than 400 words.
|
|
<input>(1 asd said: This is a</input>
|
|
Assistant:
|
|
TEXT
|
|
|
|
AnthropicCompletionStubs.stub_response(instructions, "<ai>truncated summary</ai>")
|
|
|
|
expect(subject.summarize_with_truncation(content[:contents], opts)).to eq("truncated summary")
|
|
end
|
|
end
|
|
end
|