discourse-ai/spec/models/rag_document_fragment_spec.rb

130 lines
4.2 KiB
Ruby

# frozen_string_literal: true
RSpec.describe RagDocumentFragment do
fab!(:persona) { Fabricate(:ai_persona) }
fab!(:upload_1) { Fabricate(:upload) }
fab!(:upload_2) { Fabricate(:upload) }
before do
SiteSetting.ai_embeddings_enabled = true
SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
end
describe ".link_uploads_and_persona" do
it "does nothing if there is no persona" do
expect { described_class.link_target_and_uploads(nil, [upload_1.id]) }.not_to change(
Jobs::DigestRagUpload.jobs,
:size,
)
end
it "does nothing if there are no uploads" do
expect { described_class.link_target_and_uploads(persona, []) }.not_to change(
Jobs::DigestRagUpload.jobs,
:size,
)
end
it "queues a job for each upload to generate fragments" do
expect {
described_class.link_target_and_uploads(persona, [upload_1.id, upload_2.id])
}.to change(Jobs::DigestRagUpload.jobs, :size).by(2)
end
it "creates references between the persona an each upload" do
described_class.link_target_and_uploads(persona, [upload_1.id, upload_2.id])
refs = UploadReference.where(target: persona).pluck(:upload_id)
expect(refs).to contain_exactly(upload_1.id, upload_2.id)
end
end
describe ".update_target_uploads" do
it "does nothing if there is no persona" do
expect { described_class.update_target_uploads(nil, [upload_1.id]) }.not_to change(
Jobs::DigestRagUpload.jobs,
:size,
)
end
it "deletes the fragment if its not present in the uploads list" do
fragment = Fabricate(:rag_document_fragment, target: persona)
described_class.update_target_uploads(persona, [])
expect { fragment.reload }.to raise_error(ActiveRecord::RecordNotFound)
end
it "delete references between the upload and the persona" do
described_class.link_target_and_uploads(persona, [upload_1.id, upload_2.id])
described_class.update_target_uploads(persona, [upload_2.id])
refs = UploadReference.where(target: persona).pluck(:upload_id)
expect(refs).to contain_exactly(upload_2.id)
end
it "queues jobs to generate new fragments" do
expect { described_class.update_target_uploads(persona, [upload_1.id]) }.to change(
Jobs::DigestRagUpload.jobs,
:size,
).by(1)
end
end
describe ".indexing_status" do
let(:vector) { DiscourseAi::Embeddings::Vector.instance }
fab!(:rag_document_fragment_1) do
Fabricate(:rag_document_fragment, upload: upload_1, target: persona)
end
fab!(:rag_document_fragment_2) do
Fabricate(:rag_document_fragment, upload: upload_1, target: persona)
end
let(:expected_embedding) { [0.0038493] * vector.vdef.dimensions }
before do
SiteSetting.ai_embeddings_enabled = true
SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
SiteSetting.ai_embeddings_model = "bge-large-en"
WebMock.stub_request(
:post,
"#{SiteSetting.ai_embeddings_discourse_service_api_endpoint}/api/v1/classify",
).to_return(status: 200, body: JSON.dump(expected_embedding))
vector.generate_representation_from(rag_document_fragment_1)
end
it "regenerates all embeddings if ai_embeddings_model changes" do
old_id = rag_document_fragment_1.id
UploadReference.create!(upload_id: upload_1.id, target: persona)
UploadReference.create!(upload_id: upload_2.id, target: persona)
Sidekiq::Testing.fake! do
SiteSetting.ai_embeddings_model = "all-mpnet-base-v2"
expect(RagDocumentFragment.exists?(old_id)).to eq(false)
expect(Jobs::DigestRagUpload.jobs.size).to eq(2)
end
end
it "returns total, indexed and unindexed fragments for each upload" do
results = described_class.indexing_status(persona, [upload_1, upload_2])
upload_1_status = results[upload_1.id]
expect(upload_1_status[:total]).to eq(2)
expect(upload_1_status[:indexed]).to eq(1)
expect(upload_1_status[:left]).to eq(1)
upload_1_status = results[upload_2.id]
expect(upload_1_status[:total]).to eq(0)
expect(upload_1_status[:indexed]).to eq(0)
expect(upload_1_status[:left]).to eq(0)
end
end
end