82 lines
2.5 KiB
Ruby
82 lines
2.5 KiB
Ruby
# frozen_string_literal: true
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describe DiscourseAi::Embeddings::SemanticRelated do
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subject(:semantic_related) { described_class.new }
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fab!(:target) { Fabricate(:topic) }
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fab!(:normal_topic_1) { Fabricate(:topic) }
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fab!(:normal_topic_2) { Fabricate(:topic) }
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fab!(:normal_topic_3) { Fabricate(:topic) }
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fab!(:unlisted_topic) { Fabricate(:topic, visible: false) }
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fab!(:private_topic) { Fabricate(:private_message_topic) }
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fab!(:secured_category) { Fabricate(:category, read_restricted: true) }
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fab!(:secured_category_topic) { Fabricate(:topic, category: secured_category) }
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fab!(:closed_topic) { Fabricate(:topic, closed: true) }
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before { SiteSetting.ai_embeddings_semantic_related_topics_enabled = true }
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describe "#related_topic_ids_for" do
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context "when embeddings do not exist" do
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let(:topic) do
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post = Fabricate(:post)
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topic = post.topic
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described_class.clear_cache_for(target)
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topic
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end
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let(:vector_rep) do
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DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation
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end
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it "properly generates embeddings if missing" do
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SiteSetting.ai_embeddings_enabled = true
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SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
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Jobs.run_immediately!
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embedding = Array.new(1024) { 1 }
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WebMock.stub_request(
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:post,
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"#{SiteSetting.ai_embeddings_discourse_service_api_endpoint}/api/v1/classify",
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).to_return(status: 200, body: JSON.dump(embedding))
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# miss first
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ids = semantic_related.related_topic_ids_for(topic)
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# clear cache so we lookup
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described_class.clear_cache_for(topic)
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# hit cause we queued generation
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ids = semantic_related.related_topic_ids_for(topic)
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# at this point though the only embedding is ourselves
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expect(ids).to eq([topic.id])
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end
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it "queues job only once per 15 minutes" do
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results = nil
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expect_enqueued_with(
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job: :generate_embeddings,
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args: {
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target_id: topic.id,
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target_type: "Topic",
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},
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) { results = semantic_related.related_topic_ids_for(topic) }
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expect(results).to eq([])
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expect_not_enqueued_with(
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job: :generate_embeddings,
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args: {
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target_id: topic.id,
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target_type: "Topic",
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},
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) { results = semantic_related.related_topic_ids_for(topic) }
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expect(results).to eq([])
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end
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end
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end
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end
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