discourse-ai/spec/lib/modules/embeddings/semantic_search_spec.rb
Sam 6ddc17fd61
DEV: port directory structure to Zeitwerk (#319)
Previous to this change we relied on explicit loading for a files in Discourse AI.

This had a few downsides:

- Busywork whenever you add a file (an extra require relative)
- We were not keeping to conventions internally ... some places were OpenAI others are OpenAi
- Autoloader did not work which lead to lots of full application broken reloads when developing.

This moves all of DiscourseAI into a Zeitwerk compatible structure.

It also leaves some minimal amount of manual loading (automation - which is loading into an existing namespace that may or may not be there)

To avoid needing /lib/discourse_ai/... we mount a namespace thus we are able to keep /lib pointed at ::DiscourseAi

Various files were renamed to get around zeitwerk rules and minimize usage of custom inflections

Though we can get custom inflections to work it is not worth it, will require a Discourse core patch which means we create a hard dependency.
2023-11-29 15:17:46 +11:00

141 lines
3.9 KiB
Ruby

# frozen_string_literal: true
RSpec.describe DiscourseAi::Embeddings::SemanticSearch do
fab!(:post) { Fabricate(:post) }
fab!(:user) { Fabricate(:user) }
let(:query) { "test_query" }
let(:subject) { described_class.new(Guardian.new(user)) }
describe "#search_for_topics" do
let(:hypothetical_post) { "This is an hypothetical post generated from the keyword test_query" }
before do
SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
hyde_embedding = [0.049382, 0.9999]
EmbeddingsGenerationStubs.discourse_service(
SiteSetting.ai_embeddings_model,
hypothetical_post,
hyde_embedding,
)
end
after { described_class.clear_cache_for(query) }
def stub_candidate_ids(candidate_ids)
DiscourseAi::Embeddings::VectorRepresentations::AllMpnetBaseV2
.any_instance
.expects(:asymmetric_topics_similarity_search)
.returns(candidate_ids)
end
def trigger_search(query)
DiscourseAi::Completions::Llm.with_prepared_responses(["<ai>#{hypothetical_post}</ai>"]) do
subject.search_for_topics(query)
end
end
it "returns the first post of a topic included in the asymmetric search results" do
stub_candidate_ids([post.topic_id])
posts = trigger_search(query)
expect(posts).to contain_exactly(post)
end
describe "applies different scopes to the candidates" do
context "when the topic is not visible" do
it "returns an empty list" do
post.topic.update!(visible: false)
stub_candidate_ids([post.topic_id])
posts = trigger_search(query)
expect(posts).to be_empty
end
end
context "when the post is not public" do
it "returns an empty list" do
pm_post = Fabricate(:private_message_post)
stub_candidate_ids([pm_post.topic_id])
posts = trigger_search(query)
expect(posts).to be_empty
end
end
context "when the post type is not visible" do
it "returns an empty list" do
post.update!(post_type: Post.types[:whisper])
stub_candidate_ids([post.topic_id])
posts = trigger_search(query)
expect(posts).to be_empty
end
end
context "when the post is not the first post in the topic" do
it "returns an empty list" do
reply = Fabricate(:reply)
reply.topic.first_post.trash!
stub_candidate_ids([reply.topic_id])
posts = trigger_search(query)
expect(posts).to be_empty
end
end
context "when the post is not a candidate" do
it "doesn't include it in the results" do
post_2 = Fabricate(:post)
stub_candidate_ids([post.topic_id])
posts = trigger_search(query)
expect(posts).not_to include(post_2)
end
end
context "when the post belongs to a secured category" do
fab!(:group) { Fabricate(:group) }
fab!(:private_category) { Fabricate(:private_category, group: group) }
before do
post.topic.update!(category: private_category)
stub_candidate_ids([post.topic_id])
end
it "returns an empty list" do
posts = trigger_search(query)
expect(posts).to be_empty
end
it "returns the results if the user has access to the category" do
group.add(user)
posts = trigger_search(query)
expect(posts).to contain_exactly(post)
end
context "while searching as anon" do
it "returns an empty list" do
posts =
DiscourseAi::Completions::Llm.with_prepared_responses(
["<ai>#{hypothetical_post}</ai>"],
) { described_class.new(Guardian.new(nil)).search_for_topics(query) }
expect(posts).to be_empty
end
end
end
end
end
end