discourse-ai/app/models/rag_document_fragment.rb

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# frozen_string_literal: true
class RagDocumentFragment < ActiveRecord::Base
# TODO Jan 2025 - remove
self.ignored_columns = %i[ai_persona_id]
belongs_to :upload
belongs_to :target, polymorphic: true
class << self
def link_target_and_uploads(target, upload_ids)
return if target.blank?
return if upload_ids.blank?
return if !SiteSetting.ai_embeddings_enabled?
UploadReference.ensure_exist!(upload_ids: upload_ids, target: target)
upload_ids.each do |upload_id|
Jobs.enqueue(
:digest_rag_upload,
target_id: target.id,
target_type: target.class.to_s,
upload_id: upload_id,
)
end
end
def update_target_uploads(target, upload_ids)
return if target.blank?
return if !SiteSetting.ai_embeddings_enabled?
if upload_ids.blank?
RagDocumentFragment.where(target: target).destroy_all
UploadReference.where(target: target).destroy_all
else
RagDocumentFragment.where(target: target).where.not(upload_id: upload_ids).destroy_all
link_target_and_uploads(target, upload_ids)
end
end
def indexing_status(persona, uploads)
truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
vector_rep =
DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
embeddings_table = vector_rep.rag_fragments_table_name
results =
DB.query(
<<~SQL,
SELECT
uploads.id,
SUM(CASE WHEN (rdf.upload_id IS NOT NULL) THEN 1 ELSE 0 END) AS total,
SUM(CASE WHEN (eft.rag_document_fragment_id IS NOT NULL) THEN 1 ELSE 0 END) as indexed,
SUM(CASE WHEN (rdf.upload_id IS NOT NULL AND eft.rag_document_fragment_id IS NULL) THEN 1 ELSE 0 END) as left
FROM uploads
LEFT OUTER JOIN rag_document_fragments rdf ON uploads.id = rdf.upload_id AND rdf.target_id = :target_id
AND rdf.target_type = :target_type
LEFT OUTER JOIN #{embeddings_table} eft ON rdf.id = eft.rag_document_fragment_id
WHERE uploads.id IN (:upload_ids)
GROUP BY uploads.id
SQL
target_id: persona.id,
target_type: persona.class.to_s,
upload_ids: uploads.map(&:id),
)
results.reduce({}) do |acc, r|
acc[r.id] = { total: r.total, indexed: r.indexed, left: r.left }
acc
end
end
def publish_status(upload, status)
MessageBus.publish("/discourse-ai/rag/#{upload.id}", status, user_ids: [upload.user_id])
end
end
end
# == Schema Information
#
# Table name: rag_document_fragments
#
# id :bigint not null, primary key
# fragment :text not null
# upload_id :integer not null
# ai_persona_id :integer not null
# fragment_number :integer not null
# created_at :datetime not null
# updated_at :datetime not null
# metadata :text
# target_id :integer
# target_type :string(800)
#
# Indexes
#
# index_rag_document_fragments_on_target_type_and_target_id (target_type,target_id)
#