75 lines
1.8 KiB
Ruby
75 lines
1.8 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Sentiment
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class SentimentClassification
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def type
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:sentiment
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end
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def available_models
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SiteSetting.ai_sentiment_models.split("|")
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end
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def can_classify?(target)
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content_of(target).present?
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end
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def get_verdicts(_)
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available_models.reduce({}) do |memo, model|
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memo[model] = false
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memo
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end
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end
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def should_flag_based_on?(_verdicts)
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# We don't flag based on sentiment classification.
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false
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end
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def request(target_to_classify)
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target_content = content_of(target_to_classify)
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available_models.reduce({}) do |memo, model|
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memo[model] = request_with(model, target_content)
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memo
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end
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end
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private
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def request_with(model, content)
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::DiscourseAi::Inference::DiscourseClassifier.perform!(
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"#{endpoint}/api/v1/classify",
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model,
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content,
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SiteSetting.ai_sentiment_inference_service_api_key,
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)
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end
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def content_of(target_to_classify)
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content =
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if target_to_classify.post_number == 1
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"#{target_to_classify.topic.title}\n#{target_to_classify.raw}"
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else
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target_to_classify.raw
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end
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Tokenizer::BertTokenizer.truncate(content, 512)
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end
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def endpoint
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if SiteSetting.ai_sentiment_inference_service_api_endpoint_srv.present?
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service =
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DiscourseAi::Utils::DnsSrv.lookup(
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SiteSetting.ai_sentiment_inference_service_api_endpoint_srv,
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)
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"https://#{service.target}:#{service.port}"
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else
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SiteSetting.ai_sentiment_inference_service_api_endpoint
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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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