63 lines
1.5 KiB
Ruby
63 lines
1.5 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Embeddings
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module Strategies
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class Truncation
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def id
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1
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end
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def version
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1
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end
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def prepare_text_from(target, tokenizer, max_length)
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case target
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when Topic
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topic_truncation(target, tokenizer, max_length)
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when Post
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post_truncation(target, tokenizer, max_length)
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else
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raise ArgumentError, "Invalid target type"
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end
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end
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private
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def topic_information(topic)
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info = +""
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info << topic.title
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info << "\n\n"
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info << topic.category.name if topic&.category&.name
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if SiteSetting.tagging_enabled
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info << "\n\n"
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info << topic.tags.pluck(:name).join(", ")
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end
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info << "\n\n"
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end
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def topic_truncation(topic, tokenizer, max_length)
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text = +topic_information(topic)
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topic.posts.find_each do |post|
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text << post.raw
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break if tokenizer.size(text) >= max_length #maybe keep a partial counter to speed this up?
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text << "\n\n"
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end
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tokenizer.truncate(text, max_length)
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end
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def post_truncation(topic, tokenizer, max_length)
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text = +topic_information(post.topic)
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text << post.raw
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tokenizer.truncate(text, max_length)
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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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