56 lines
1.7 KiB
Ruby
56 lines
1.7 KiB
Ruby
# frozen_string_literal: true
|
|
|
|
RSpec.describe Jobs::EmbeddingsBackfill do
|
|
fab!(:second_topic) do
|
|
topic = Fabricate(:topic, created_at: 1.year.ago, bumped_at: 2.day.ago)
|
|
Fabricate(:post, topic: topic)
|
|
topic
|
|
end
|
|
|
|
fab!(:first_topic) do
|
|
topic = Fabricate(:topic, created_at: 1.year.ago, bumped_at: 1.day.ago)
|
|
Fabricate(:post, topic: topic)
|
|
topic
|
|
end
|
|
|
|
fab!(:third_topic) do
|
|
topic = Fabricate(:topic, created_at: 1.year.ago, bumped_at: 3.day.ago)
|
|
Fabricate(:post, topic: topic)
|
|
topic
|
|
end
|
|
|
|
let(:vector_rep) do
|
|
strategy = DiscourseAi::Embeddings::Strategies::Truncation.new
|
|
DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(strategy)
|
|
end
|
|
|
|
it "backfills topics based on bumped_at date" do
|
|
SiteSetting.ai_embeddings_enabled = true
|
|
SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
|
|
SiteSetting.ai_embeddings_backfill_batch_size = 1
|
|
|
|
Jobs.run_immediately!
|
|
|
|
embedding = Array.new(1024) { 1 }
|
|
|
|
WebMock.stub_request(
|
|
:post,
|
|
"#{SiteSetting.ai_embeddings_discourse_service_api_endpoint}/api/v1/classify",
|
|
).to_return(status: 200, body: JSON.dump(embedding))
|
|
|
|
Jobs::EmbeddingsBackfill.new.execute({})
|
|
|
|
topic_ids = DB.query_single("SELECT topic_id from #{vector_rep.topic_table_name}")
|
|
|
|
expect(topic_ids).to eq([first_topic.id])
|
|
|
|
# pulse again for the rest (and cover code)
|
|
SiteSetting.ai_embeddings_backfill_batch_size = 100
|
|
Jobs::EmbeddingsBackfill.new.execute({})
|
|
|
|
topic_ids = DB.query_single("SELECT topic_id from #{vector_rep.topic_table_name}")
|
|
|
|
expect(topic_ids).to contain_exactly(first_topic.id, second_topic.id, third_topic.id)
|
|
end
|
|
end
|