46 lines
1.5 KiB
Ruby
46 lines
1.5 KiB
Ruby
# frozen_string_literal: true
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desc "Backfill embeddings for all topics and posts"
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task "ai:embeddings:backfill", %i[model concurrency] => [:environment] do |_, args|
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public_categories = Category.where(read_restricted: false).pluck(:id)
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if args[:model].present?
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strategy = DiscourseAi::Embeddings::Strategies::Truncation.new
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vector_rep =
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DiscourseAi::Embeddings::VectorRepresentations::Base.find_representation(args[:model]).new(
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strategy,
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)
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else
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vector_rep = DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation
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end
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table_name = DiscourseAi::Embeddings::Schema::TOPICS_TABLE
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topics =
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Topic
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.joins("LEFT JOIN #{table_name} ON #{table_name}.topic_id = topics.id")
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.where("#{table_name}.topic_id IS NULL")
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.where("category_id IN (?)", public_categories)
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.where(deleted_at: nil)
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.order("topics.id DESC")
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Parallel.each(topics.all, in_processes: args[:concurrency].to_i, progress: "Topics") do |t|
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ActiveRecord::Base.connection_pool.with_connection do
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vector_rep.generate_representation_from(t)
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end
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end
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table_name = vector_rep.post_table_name
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posts =
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Post
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.joins("LEFT JOIN #{table_name} ON #{table_name}.post_id = posts.id")
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.where("#{table_name}.post_id IS NULL")
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.where(deleted_at: nil)
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.order("posts.id DESC")
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Parallel.each(posts.all, in_processes: args[:concurrency].to_i, progress: "Posts") do |t|
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ActiveRecord::Base.connection_pool.with_connection do
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vector_rep.generate_representation_from(t)
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end
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end
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end
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