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68 lines
2.3 KiB
Ruby
Vendored
68 lines
2.3 KiB
Ruby
Vendored
# frozen_string_literal: true
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module Jobs
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class GenerateInferredConcepts < ::Jobs::Base
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sidekiq_options queue: "low"
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# Process items to generate new concepts
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#
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# @param args [Hash] Contains job arguments
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# @option args [String] :item_type Required - Type of items to process ('topics' or 'posts')
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# @option args [Array<Integer>] :item_ids Required - List of item IDs to process
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# @option args [Integer] :batch_size (100) Number of items to process in each batch
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# @option args [Boolean] :match_only (false) Only match against existing concepts without generating new ones
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def execute(args = {})
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return if args[:item_ids].blank? || args[:item_type].blank?
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if %w[topics posts].exclude?(args[:item_type])
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Rails.logger.error("Invalid item_type for GenerateInferredConcepts: #{args[:item_type]}")
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return
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end
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# Process items in smaller batches to avoid memory issues
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batch_size = args[:batch_size] || 100
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# Get the list of item IDs
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item_ids = args[:item_ids]
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match_only = args[:match_only] || false
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# Process items in batches
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item_ids.each_slice(batch_size) do |batch_item_ids|
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process_batch(batch_item_ids, args[:item_type], match_only)
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end
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end
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private
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def process_batch(item_ids, item_type, match_only)
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klass = item_type.singularize.classify.constantize
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items = klass.where(id: item_ids)
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manager = DiscourseAi::InferredConcepts::Manager.new
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items.each do |item|
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process_item(item, item_type, match_only, manager)
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rescue => e
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Rails.logger.error(
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"Error generating concepts from #{item_type.singularize} #{item.id}: #{e.message}\n#{e.backtrace.join("\n")}",
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)
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end
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end
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def process_item(item, item_type, match_only, manager)
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# Use the Manager method that handles both identifying and creating concepts
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if match_only
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if item_type == "topics"
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manager.match_topic_to_concepts(item)
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else # posts
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manager.match_post_to_concepts(item)
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end
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else
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if item_type == "topics"
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manager.generate_concepts_from_topic(item)
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else # posts
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manager.generate_concepts_from_post(item)
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end
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end
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end
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end
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end
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