discourse-ai/lib/embeddings/entry_point.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

54 lines
1.7 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Embeddings
class EntryPoint
def inject_into(plugin)
# Include random topics in the suggested list *only* if there are no related topics.
plugin.register_modifier(
:topic_view_suggested_topics_options,
) do |suggested_options, topic_view|
related_topics = topic_view.related_topics
include_random = related_topics.nil? || related_topics.length == 0
suggested_options.merge(include_random: include_random)
end
# Query and serialize related topics.
plugin.add_to_class(:topic_view, :related_topics) do
if topic.private_message? || !SiteSetting.ai_embeddings_semantic_related_topics_enabled
return nil
end
@related_topics ||=
SemanticTopicQuery.new(@user).list_semantic_related_topics(topic).topics
end
%i[topic_view TopicViewPosts].each do |serializer|
plugin.add_to_serializer(
serializer,
:related_topics,
include_condition: -> { SiteSetting.ai_embeddings_semantic_related_topics_enabled },
) do
if object.next_page.nil? && !object.topic.private_message?
object.related_topics.map do |t|
SuggestedTopicSerializer.new(t, scope: scope, root: false)
end
end
end
end
# embeddings generation.
callback =
Proc.new do |topic|
if SiteSetting.ai_embeddings_enabled
Jobs.enqueue(:generate_embeddings, topic_id: topic.id)
end
end
plugin.on(:topic_created, &callback)
plugin.on(:topic_edited, &callback)
end
end
end
end