106 lines
2.8 KiB
Ruby
106 lines
2.8 KiB
Ruby
# frozen_string_literal: true
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require_relative "endpoint_compliance"
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class HuggingFaceMock < EndpointMock
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def response(content)
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[{ generated_text: content }]
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end
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def stub_response(prompt, response_text, tool_call: false)
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WebMock
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.stub_request(:post, "#{SiteSetting.ai_hugging_face_api_url}")
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.with(body: request_body(prompt))
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.to_return(status: 200, body: JSON.dump(response(response_text)))
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end
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def stream_line(delta, deltas, finish_reason: nil)
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+"data: " << {
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token: {
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id: 29_889,
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text: delta,
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logprob: -0.08319092,
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special: !!finish_reason,
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},
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generated_text: finish_reason ? deltas.join : nil,
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details: nil,
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}.to_json
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end
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def stub_streamed_response(prompt, deltas, tool_call: false)
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chunks =
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deltas.each_with_index.map do |_, index|
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if index == (deltas.length - 1)
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stream_line(deltas[index], deltas, finish_reason: true)
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else
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stream_line(deltas[index], deltas)
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end
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end
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chunks = (chunks.join("\n\n") << "data: [DONE]").split("")
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WebMock
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.stub_request(:post, "#{SiteSetting.ai_hugging_face_api_url}")
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.with(body: request_body(prompt, stream: true))
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.to_return(status: 200, body: chunks)
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end
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def request_body(prompt, stream: false)
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model
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.default_options
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.merge(inputs: prompt)
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.tap do |payload|
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payload[:parameters][:max_new_tokens] = (SiteSetting.ai_hugging_face_token_limit || 4_000) -
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model.prompt_size(prompt)
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payload[:stream] = true if stream
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end
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.to_json
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end
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end
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RSpec.describe DiscourseAi::Completions::Endpoints::HuggingFace do
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subject(:endpoint) do
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described_class.new("Llama2-*-chat-hf", DiscourseAi::Tokenizer::Llama2Tokenizer)
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end
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before { SiteSetting.ai_hugging_face_api_url = "https://test.dev" }
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fab!(:user)
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let(:hf_mock) { HuggingFaceMock.new(endpoint) }
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let(:compliance) do
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EndpointsCompliance.new(self, endpoint, DiscourseAi::Completions::Dialects::Llama2Classic, user)
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end
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describe "#perform_completion!" do
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context "when using regular mode" do
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context "with simple prompts" do
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it "completes a trivial prompt and logs the response" do
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compliance.regular_mode_simple_prompt(hf_mock)
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end
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end
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context "with tools" do
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it "returns a function invocation" do
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compliance.regular_mode_tools(hf_mock)
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end
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end
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end
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describe "when using streaming mode" do
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context "with simple prompts" do
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it "completes a trivial prompt and logs the response" do
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compliance.streaming_mode_simple_prompt(hf_mock)
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end
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end
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context "with tools" do
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it "returns a function invocation" do
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compliance.streaming_mode_tools(hf_mock)
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end
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end
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end
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end
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end
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