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fae2d5ff2c
- Add spam_score_type to AiSpamSerializer for better integration with reviewables. - Introduce a custom filter for detecting AI spam false negatives in moderation workflows. - Refactor spam report generation to improve identification of false negatives. - Add tests to verify the custom filter and its behavior. - Introduce links for all spam counts in report
48 lines
1.2 KiB
Ruby
48 lines
1.2 KiB
Ruby
# frozen_string_literal: true
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RSpec.describe ReviewablesController do
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fab!(:post1) { Fabricate(:post) }
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fab!(:post2) { Fabricate(:post) }
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fab!(:admin)
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fab!(:llm_model)
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fab!(:reviewable) do
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Reviewable.create!(
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target: post1,
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topic: post2.topic,
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type: ReviewablePost,
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created_by: admin,
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status: Reviewable.statuses[:pending],
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)
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end
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fab!(:reviewable2) do
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Reviewable.create!(
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target: post2,
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topic: post2.topic,
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type: ReviewablePost,
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created_by: admin,
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status: Reviewable.statuses[:pending],
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)
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end
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fab!(:ai_spam_log_missed) do
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AiSpamLog.create!(is_spam: false, post_id: post1.id, llm_model_id: llm_model.id)
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end
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# we amend the behavior with a custom filter so we need to confirm it works
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it "properly applies custom filter" do
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sign_in(admin)
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get '/review.json?additional_filters={"ai_spam_false_negative":true}'
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expect(response.status).to eq(200)
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json = JSON.parse(response.body)
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expect(json["reviewables"].length).to eq(1)
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get "/review.json"
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expect(response.status).to eq(200)
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json = JSON.parse(response.body)
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expect(json["reviewables"].length).to eq(2)
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end
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end
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