Merge remote-tracking branch 'origin/main' into feature/361

AGENTS.md

@@ -125,64 +125,6 @@ npm run preview
 - TypeScript and TSX use 4-space logical indentation.
 - In TypeScript and TSX only, replace every leading run of 8 spaces with a tab.
 - Tabs are only for leading indentation, never for spaces after non-space text.
-- TypeScript and TSX imports may stay on one line if they remain within the
-  line limit; do not expand short type-only imports mechanically.
-- In TypeScript and TSX, when a function takes one destructured object
-  argument plus an inline type, prefer this shape when it fits locally:
-
-```ts
-const helper = (
-    { value, flag }: { value: string
-		       flag:  boolean },
-): Result => {
-  // ...
-}
-```
-
-- In TypeScript and TSX, put `switch` case block braces on their own lines
-  when a case needs a lexical block:
-
-```ts
-case 'yes':
-case 'no':
-  {
-    const expected = valueFor (item)
-    return expected == null || expected === answer
-  }
-```
-
-- In TypeScript and TSX, use `value == null` and `value != null` as the
-  default nullish checks. Do not use `=== null`, `=== undefined`,
-  `!== null`, or `!== undefined`.
-- If code appears to need a distinction between `null` and `undefined`, treat
-  that as a design smell and revise the logic to avoid the distinction.
-  External library APIs that explicitly require distinguishing the two are the
-  only exception.
-- In TypeScript and TSX, keep short arrays on one line when they fit under the
-  line limit; break arrays only when readability or line length requires it.
-- In TypeScript and TSX, when a ternary expression is split across multiple
-  lines, align `?` and `:` with the condition expression. Do not indent `?` and
-  `:` one extra level under the condition.
-
-```ts
-const value =
-    condition
-    ? consequent
-    : alternate
-```
-
-- In TypeScript and TSX, keep short ternary expressions on one line when they
-  fit cleanly under the line limit.
-- In TypeScript and TSX, prefer ternary expressions for simple conditional
-  value selection. Do not replace a clear ternary with `if` statements, and do
-  not introduce immediately invoked functions just to avoid or reformat a
-  ternary expression.
-- In TypeScript and TSX, do not write `let` followed by later `if` assignments
-  when the value can be expressed as a single `const` initializer. Prefer
-  `const` because it prevents accidental later reassignment.
-- When fixing formatting, change formatting only. Do not change expression
-  structure, control flow, or variable mutability unless the requested style
-  explicitly requires it.
 - Do not add production dependencies without explicit approval.
 - Do not create, modify, or run tests unless the user explicitly asks for
   test work. When the user asks for tests, keep working and rerun them until

backend/app/controllers/gekanator_games_controller.rb

@@ -14,24 +14,11 @@ class GekanatorGamesController < ApplicationController
         question_count: answers.length,
         answers:)
 
-    if game.invalid?
+    if game.save
+      render json: { id: game.id }, status: :created
+    else
       render json: { errors: game.errors.full_messages }, status: :unprocessable_entity
-      return
     end
-
-    learned_example_count = 0
-
-    ActiveRecord::Base.transaction do
-      game.save!
-      learned_example_count = learn_answers_from_game!(game)
-    end
-
-    render json: {
-      id: game.id,
-      learned_example_count:
-    }, status: :created
-  rescue ActiveRecord::RecordInvalid => e
-    render json: { errors: e.record.errors.full_messages }, status: :unprocessable_entity
   end
 
   def extra_questions
@@ -45,12 +32,10 @@ class GekanatorGamesController < ApplicationController
         .where(kind: 'post_similarity', source: 'user_suggested')
         .to_a
 
-    selected =
-        prioritized_extra_questions(
+    selected = weighted_sample_questions(
         questions,
         post_id: game.correct_post_id,
-            user: current_user,
-            limit: 6)
+        limit: 2)
 
     render json: {
       questions: selected.map { |question| extra_question_json(question) }
@@ -111,23 +96,6 @@ class GekanatorGamesController < ApplicationController
     }
   end
 
-  def prioritized_extra_questions questions, post_id:, user:, limit:
-    answered_question_ids =
-        GekanatorQuestionExample
-        .where(user:, gekanator_question_id: questions.map(&:id))
-        .distinct
-        .pluck(:gekanator_question_id)
-    unanswered, answered =
-        questions.partition { |question| !answered_question_ids.include?(question.id) }
-    selected = weighted_sample_questions(unanswered, post_id:, limit:)
-    return selected if selected.length >= limit
-
-    selected + weighted_sample_questions(
-        answered.reject { |question| selected.any? { _1.id == question.id } },
-        post_id:,
-        limit: limit - selected.length)
-  end
-
   def weighted_sample_questions questions, post_id:, limit:
     remaining = questions.uniq(&:id)
     selected = []
@@ -177,96 +145,4 @@ class GekanatorGamesController < ApplicationController
 
     game
   end
-
-  def learn_answers_from_game! game
-    correct_post = game.correct_post
-    return 0 if correct_post.blank?
-
-    accepted_questions =
-        GekanatorQuestion
-        .accepted
-        .index_by { |question| public_question_id_for(question) }
-    learned_count = 0
-
-    Array(game.answers).each do |answer|
-      answer_value = answer['answer'].to_s
-      next if answer_value.blank? || answer_value == 'unknown'
-
-      question_id = game_answer_question_id(answer)
-      next if question_id.blank?
-
-      question = accepted_questions[question_id.to_s]
-      next unless learnable_game_answer_question?(question)
-
-      example =
-          GekanatorQuestionExample.find_or_initialize_by(
-              gekanator_question: question,
-              post: correct_post,
-              user: current_user)
-      example.record_answer!(
-          answer: answer_value,
-          source: 'post_game_answer',
-          gekanator_game: game)
-      example.save!
-      learned_count += 1
-    end
-
-    learned_count
-  end
-
-  def public_question_id_for question
-    condition = normalize_condition(question.condition)
-
-    case condition[:type]
-    when 'tag'
-      "tag:#{condition[:key]}"
-    when 'source'
-      "source:#{condition[:host]}"
-    when 'original-year'
-      "original-year:#{condition[:year]}"
-    when 'original-month'
-      "original-month:#{condition[:month]}"
-    when 'original-month-day'
-      "original-month-day:#{condition[:monthDay] || condition[:month_day]}"
-    when 'title-length-at-least'
-      "title:length-at-least:#{condition[:length]}"
-    when 'title-length-greater-than'
-      "title:length-at-least:#{condition[:length].to_i + 1}"
-    when 'title-has-ascii'
-      'title:ascii'
-    when 'title-contains'
-      "title:contains:#{condition[:text]}"
-    when 'post-similarity'
-      "post-similarity:#{question.id}"
-    else
-      "catalog:#{question.id}"
-    end
-  end
-
-  def normalize_condition condition
-    json = condition.deep_dup.as_json
-
-    if json['type'] == 'original-month-day' && json['monthDay'].blank?
-      json['monthDay'] = json.delete('month_day')
-    end
-
-    json.deep_symbolize_keys
-  end
-
-  def learnable_game_answer_question? question
-    return false if question.nil?
-    return true if question.kind == 'post_similarity'
-    return false unless question.kind == 'tag'
-
-    condition = normalize_condition(question.condition)
-    key = condition[:key].to_s
-    !key.start_with?('nico:')
-  end
-
-  def game_answer_question_id answer
-    answer['question_id'] ||
-      answer[:question_id] ||
-      answer['questionId'] ||
-      answer[:questionId]
-  end
 end

backend/app/controllers/gekanator_posts_controller.rb

@@ -2,7 +2,7 @@ class GekanatorPostsController < ApplicationController
   def index
     posts =
         Post
-        .preload(:post_similarities, tags: :tag_name)
+        .preload(tags: :tag_name)
         .with_attached_thumbnail
         .order(Arel.sql(
             'COALESCE(posts.original_created_before - INTERVAL 1 MINUTE, ' \
@@ -22,12 +22,6 @@ class GekanatorPostsController < ApplicationController
       thumbnail_base: post.thumbnail_base,
       original_created_from: post.original_created_from,
       original_created_before: post.original_created_before,
-      post_similarity_edges: post.post_similarities.map { |similarity|
-        {
-          target_post_id: similarity.target_post_id,
-          cos: similarity.cos.to_f
-        }
-      },
       tags: post.tags.map { |tag| tag_json(tag) }
     }
   end

backend/app/controllers/gekanator_question_suggestions_controller.rb

@@ -8,35 +8,6 @@ class GekanatorQuestionSuggestionsController < ApplicationController
       return head :not_found
     end
 
-    existing_question_id = params[:existing_question_id].presence
-    if existing_question_id
-      question = GekanatorQuestion.accepted.find_by(id: existing_question_id)
-      return head :not_found unless question
-      unless learnable_existing_question?(question)
-        return render_validation_error fields: { existing_question_id: ['質問が不正です．'] }
-      end
-
-      example =
-          GekanatorQuestionExample.find_or_initialize_by(
-              gekanator_question: question,
-              post: game.correct_post,
-              user: current_user)
-      example.record_answer!(
-          answer: params.require(:answer),
-          source: 'post_game_extra',
-          gekanator_game: game)
-
-      if example.save
-        render json: {
-          id: question.id,
-          count: game.question_suggestions.count
-        }, status: :created
-      else
-        render_validation_error example
-      end
-      return
-    end
-
     suggestion = GekanatorQuestionSuggestion.new(
         gekanator_game: game,
         user: current_user,
@@ -82,14 +53,4 @@ class GekanatorQuestionSuggestionsController < ApplicationController
   rescue NotImplementedError
     head :not_implemented
   end
-
-  private
-
-  def learnable_existing_question? question
-    return true if question.kind == 'post_similarity'
-    return false unless question.kind == 'tag'
-
-    key = question.condition.as_json['key'].to_s
-    !key.start_with?('nico:')
-  end
 end

backend/app/controllers/gekanator_questions_controller.rb

@@ -16,7 +16,6 @@ class GekanatorQuestionsController < ApplicationController
   def question_json question
     condition = condition_json(question.condition).deep_symbolize_keys
     json = {
-      record_id: question.id,
       id: question_id_for(question, condition),
       text: question_text_for(question, condition),
       kind: question.kind,
@@ -24,7 +23,7 @@ class GekanatorQuestionsController < ApplicationController
       source: question.source,
       priority_weight: question.priority_weight
     }
-    if question.kind == 'post_similarity' || question.kind == 'tag'
+    if question.kind == 'post_similarity'
       json[:example_answers] = example_answers_json(question)
     end
     json

backend/app/models/gekanator_question_example.rb

@@ -1,7 +1,7 @@
 class GekanatorQuestionExample < ApplicationRecord
   ANSWERS = GekanatorQuestionSuggestion::ANSWERS
   NON_UNKNOWN_ANSWERS = ANSWERS - ['unknown']
-  SOURCES = ['initial_suggestion', 'post_game_answer', 'post_game_extra'].freeze
+  SOURCES = ['initial_suggestion', 'post_game_extra'].freeze
 
   belongs_to :gekanator_question
   belongs_to :post
@@ -35,7 +35,7 @@ class GekanatorQuestionExample < ApplicationRecord
     self.answer_counts = counts
     self.sample_count = counts.values.sum
     self.gekanator_game = gekanator_game if gekanator_game.present?
-    self.source = source
+    self.source = source if new_record?
 
     apply_aggregated_answer!(preferred_answer: answer)
     self

backend/app/models/gekanator_question_suggestion.rb

@@ -1,4 +1,5 @@
 class GekanatorQuestionSuggestion < ApplicationRecord
+  MAX_QUESTIONS_PER_GAME = 3
   ANSWERS = ['yes', 'no', 'partial', 'probably_no', 'unknown'].freeze
 
   belongs_to :gekanator_game
@@ -9,4 +10,16 @@ class GekanatorQuestionSuggestion < ApplicationRecord
   validates :question_text, presence: true, length: { maximum: 1000 }
   validates :answer, presence: true, inclusion: { in: ANSWERS }
   validates :processed, inclusion: { in: [true, false] }
+  validate :question_suggestion_limit_per_game, on: :create
+
+  private
+
+  def question_suggestion_limit_per_game
+    return if gekanator_game_id.blank?
+
+    count = GekanatorQuestionSuggestion.where(gekanator_game_id:).count
+    if count >= MAX_QUESTIONS_PER_GAME
+      errors.add(:base, '質問追加数を超えてゐます．')
+    end
+  end
 end

backend/spec/models/tag_name_sanitisation_rule_spec.rb

@@ -1,10 +1,6 @@
 require 'rails_helper'
 
 RSpec.describe TagNameSanitisationRule, type: :model do
-  before do
-    described_class.unscoped.delete_all
-  end
-
   describe '.sanitise' do
     before do
       described_class.create!(priority: 10, source_pattern: '_', replacement: '')

backend/spec/requests/gekanator_learning_spec.rb

@@ -151,188 +151,6 @@ RSpec.describe 'Gekanator learning API', type: :request do
 
       expect(response).to have_http_status(:unauthorized)
     end
-
-    it 'learns accepted non-nico tag answers from camelCase main game logs' do
-      sign_in_as admin
-
-      tag_question = GekanatorQuestion.create!(
-        text: 'MAD 要素がある?',
-        kind: 'tag',
-        source: 'admin_curated',
-        status: 'accepted',
-        priority_weight: 1.0,
-        condition: { type: 'tag', key: 'meme:MAD' },
-        created_by: admin
-      )
-
-      expect {
-        post '/gekanator/games', params: {
-          guessed_post_id: guessed_post.id,
-          correct_post_id: correct_post.id,
-          answers: [
-            {
-              questionId: 'tag:meme:MAD',
-              question_text: 'MAD 要素がある?',
-              answer: 'yes',
-              original_answer: 'yes'
-            },
-            {
-              questionId: 'tag:meme:missing',
-              question_text: '存在しない質問?',
-              answer: 'yes',
-              original_answer: 'yes'
-            },
-            {
-              questionId: 'tag:meme:MAD',
-              question_text: 'MAD 要素がある?',
-              answer: 'unknown',
-              original_answer: 'unknown'
-            }
-          ]
-        }
-      }.to change { GekanatorQuestionExample.count }.by(1)
-
-      expect(response).to have_http_status(:created)
-      expect(json['learned_example_count']).to eq(1)
-
-      example = GekanatorQuestionExample.last
-      expect(example).to have_attributes(
-        gekanator_question_id: tag_question.id,
-        post_id: correct_post.id,
-        user_id: admin.id,
-        answer: 'yes',
-        source: 'post_game_answer'
-      )
-      expect(example.gekanator_game_id).to eq(json['id'])
-    end
-
-    it 'learns accepted post_similarity answers from main game logs' do
-      sign_in_as admin
-
-      question = create_post_similarity_question!(text: '泣いてる?')
-
-      expect {
-        post '/gekanator/games', params: {
-          guessed_post_id: guessed_post.id,
-          correct_post_id: correct_post.id,
-          answers: [
-            {
-              question_id: "post-similarity:#{question.id}",
-              question_text: '泣いてる?',
-              answer: 'partial',
-              original_answer: 'partial'
-            }
-          ]
-        }
-      }.to change { GekanatorQuestionExample.count }.by(1)
-
-      expect(response).to have_http_status(:created)
-      expect(json['learned_example_count']).to eq(1)
-
-      example = GekanatorQuestionExample.last
-      expect(example).to have_attributes(
-        gekanator_question_id: question.id,
-        post_id: correct_post.id,
-        user_id: admin.id,
-        answer: 'partial',
-        source: 'post_game_answer'
-      )
-      expect(example.gekanator_game_id).to eq(json['id'])
-    end
-
-    it 'does not learn fact questions or nico tag questions from main game logs' do
-      sign_in_as admin
-
-      [
-        {
-          text: 'example.com 由来?',
-          kind: 'source',
-          condition: { type: 'source', host: 'example.com' }
-        },
-        {
-          text: '題名に結束バンドを含む?',
-          kind: 'title',
-          condition: { type: 'title-contains', text: '結束バンド' }
-        },
-        {
-          text: '2024 年投稿?',
-          kind: 'original_date',
-          condition: { type: 'original-year', year: 2024 }
-        },
-        {
-          text: 'ニコニコにぼっちタグ?',
-          kind: 'tag',
-          condition: { type: 'tag', key: 'nico:ぼっち' }
-        }
-      ].each do |attributes|
-        GekanatorQuestion.create!(
-          text: attributes[:text],
-          kind: attributes[:kind],
-          source: 'admin_curated',
-          status: 'accepted',
-          priority_weight: 1.0,
-          condition: attributes[:condition],
-          created_by: admin
-        )
-      end
-
-      expect {
-        post '/gekanator/games', params: {
-          guessed_post_id: guessed_post.id,
-          correct_post_id: correct_post.id,
-          answers: [
-            { question_id: 'source:example.com', answer: 'yes' },
-            { question_id: 'title:contains:結束バンド', answer: 'yes' },
-            { question_id: 'original-year:2024', answer: 'yes' },
-            { question_id: 'tag:nico:ぼっち', answer: 'yes' }
-          ]
-        }
-      }.not_to change { GekanatorQuestionExample.count }
-
-      expect(response).to have_http_status(:created)
-      expect(json['learned_example_count']).to eq(0)
-    end
-
-    it 'updates an existing main game example instead of duplicating it' do
-      sign_in_as admin
-
-      tag_question = GekanatorQuestion.create!(
-        text: '喜多ちゃんが関係してる?',
-        kind: 'tag',
-        source: 'admin_curated',
-        status: 'accepted',
-        priority_weight: 1.0,
-        condition: { type: 'tag', key: 'character:喜多郁代' },
-        created_by: admin
-      )
-      existing = GekanatorQuestionExample.create!(
-        gekanator_question: tag_question,
-        post: correct_post,
-        user: admin,
-        answer: 'no',
-        source: 'post_game_answer',
-        weight: 1.0
-      )
-
-      expect {
-        post '/gekanator/games', params: {
-          guessed_post_id: guessed_post.id,
-          correct_post_id: correct_post.id,
-          answers: [
-            {
-              question_id: 'tag:character:喜多郁代',
-              answer: 'yes',
-              original_answer: 'yes'
-            }
-          ]
-        }
-      }.not_to change { GekanatorQuestionExample.count }
-
-      expect(response).to have_http_status(:created)
-      expect(json['learned_example_count']).to eq(1)
-      expect(existing.reload.answer).to eq('yes')
-      expect(existing.sample_count).to eq(2)
-    end
   end
 
   describe 'POST /gekanator/question_suggestions' do
@@ -431,7 +249,7 @@ RSpec.describe 'Gekanator learning API', type: :request do
       expect(GekanatorQuestionSuggestion.last.processed).to eq(false)
     end
 
-    it 'allows more than three suggestions per game' do
+    it 'limits suggestions to three per game' do
       sign_in_as admin
 
       3.times do |i|
@@ -449,10 +267,9 @@ RSpec.describe 'Gekanator learning API', type: :request do
           question_text: 'fourth question?',
           answer: 'yes'
         }
-      }.to change { GekanatorQuestionSuggestion.count }.by(1)
+      }.not_to change { GekanatorQuestionSuggestion.count }
 
-      expect(response).to have_http_status(:created)
-      expect(json['count']).to eq(4)
+      expect(response).to have_http_status(:unprocessable_entity)
     end
 
     it 'allows a non-admin user to suggest a question for their own game' do
@@ -509,59 +326,28 @@ RSpec.describe 'Gekanator learning API', type: :request do
   end
 
   describe 'GET /gekanator/games/:id/extra_questions' do
-    it 'returns at most six accepted user_suggested post_similarity questions without duplicates' do
+    it 'returns at most two accepted user_suggested post_similarity questions without duplicates' do
       sign_in_as admin
 
-      lowest = create_post_similarity_question!(
-        text: 'lowest?',
-        priority_weight: 0.5
-      )
       low = create_post_similarity_question!(
         text: 'low?',
         priority_weight: 1.0
       )
-      middle = create_post_similarity_question!(
-        text: 'middle?',
-        priority_weight: 1.5
-      )
-      medium_high = create_post_similarity_question!(
-        text: 'medium high?',
-        priority_weight: 2.0
-      )
       high = create_post_similarity_question!(
         text: 'high?',
-        priority_weight: 2.5
-      )
-      higher = create_post_similarity_question!(
-        text: 'higher?',
-        priority_weight: 2.8
-      )
-      highest = create_post_similarity_question!(
-        text: 'highest?',
         priority_weight: 3.0
       )
-      overflow = create_post_similarity_question!(
-        text: 'overflow?',
-        priority_weight: 2.2
+      middle = create_post_similarity_question!(
+        text: 'middle?',
+        priority_weight: 2.0
       )
 
       get "/gekanator/games/#{game.id}/extra_questions"
 
       expect(response).to have_http_status(:ok)
-      expect(json['questions'].length).to eq(6)
-      expect(json['questions'].map { _1['id'] }.uniq.length).to eq(6)
-      expect(json['questions'].map { _1['id'] }).to all(
-        be_in([
-          lowest.id,
-          low.id,
-          middle.id,
-          medium_high.id,
-          high.id,
-          higher.id,
-          highest.id,
-          overflow.id,
-        ])
-      )
+      expect(json['questions'].length).to eq(2)
+      expect(json['questions'].map { _1['id'] }.uniq.length).to eq(2)
+      expect(json['questions'].map { _1['id'] }).to all(be_in([low.id, high.id, middle.id]))
     end
 
     it 'can return questions that already have an example for the correct post' do
@@ -584,37 +370,6 @@ RSpec.describe 'Gekanator learning API', type: :request do
       expect(json['questions'].map { _1['id'] }).to include(existing.id)
     end
 
-    it 'prioritizes questions the current user has not answered' do
-      sign_in_as admin
-
-      answered = create_post_similarity_question!(
-        text: 'already answered?',
-        priority_weight: 3.0
-      )
-      GekanatorQuestionExample.create!(
-        gekanator_question: answered,
-        post: other_post,
-        user: admin,
-        answer: 'yes',
-        source: 'post_game_extra'
-      )
-
-      unanswered =
-          6.times.map { |index|
-            create_post_similarity_question!(
-              text: "unanswered #{index}?",
-              priority_weight: 0.5
-            )
-          }
-
-      get "/gekanator/games/#{game.id}/extra_questions"
-
-      expect(response).to have_http_status(:ok)
-      expect(json['questions'].map { _1['id'] }).to match_array(
-        unanswered.map(&:id)
-      )
-    end
-
     it 'can return questions already asked in the game using snake_case question_id' do
       sign_in_as admin
 

frontend/src/lib/gekanator.test.ts

@@ -4,7 +4,6 @@ import { apiPost } from '@/lib/api'
 import {
   buildGekanatorQuestions,
   expectedAnswerForQuestion,
-  learnedSemanticSideForPost,
   questionIdForCondition,
   restoreGekanatorQuestion,
   saveGekanatorExtraQuestionAnswers,
@@ -189,33 +188,6 @@ describe('expectedAnswerForQuestion', () => {
   })
 })
 
-describe('learnedSemanticSideForPost', () => {
-  it('classifies post_similarity examples as positive, negative, or unknown', () => {
-    const question: StoredGekanatorQuestion = {
-      id: 'post-similarity:10',
-      text: '喜多ちゃんが泣いてる?',
-      kind: 'post_similarity',
-      source: 'user_suggested',
-      priorityWeight: 1.2,
-      condition: {
-        type: 'post-similarity',
-        postId: 123,
-        answer: 'partial',
-        threshold: 0.65,
-      },
-      exampleAnswers: {
-        1: 'yes',
-        2: 'probably_no',
-      },
-    }
-
-    expect(learnedSemanticSideForPost(question, post({ id: 1 }))).toBe('positive')
-    expect(learnedSemanticSideForPost(question, post({ id: 2 }))).toBe('negative')
-    expect(learnedSemanticSideForPost(question, post({ id: 3 }))).toBe('unknown')
-    expect(learnedSemanticSideForPost(question, post({ id: 123 }))).toBe('positive')
-  })
-})
-
 describe('restoreGekanatorQuestion', () => {
   it('uses default source and priority weight when omitted', () => {
     const question = restoreGekanatorQuestion({
@@ -276,7 +248,7 @@ describe('restoreGekanatorQuestion', () => {
     })
 
     expect(question.test(post({ id: 1 }))).toBe(true)
-    expect(question.test(post({ id: 2 }))).toBe(true)
+    expect(question.test(post({ id: 2 }))).toBe(false)
   })
 
   it('normalizes legacy title-length-greater-than questions', () => {
@@ -400,10 +372,6 @@ describe('Gekanator API writers', () => {
           type: 'tag',
           key: 'character:喜多郁代',
         },
-        questionMode: 'normal',
-        questionPurpose: 'effective_user_suggested',
-        effectiveQuestion: true,
-        learningQuestion: false,
         answer: 'yes',
         originalAnswer: 'partial',
       },
@@ -428,10 +396,6 @@ describe('Gekanator API writers', () => {
             type: 'tag',
             key: 'character:喜多郁代',
           },
-          question_mode: 'normal',
-          question_purpose: 'effective_user_suggested',
-          effective_question: true,
-          learning_question: false,
           answer: 'yes',
           original_answer: 'partial',
         },

frontend/src/lib/gekanator.ts

@@ -9,24 +9,11 @@ export type GekanatorAnswerValue =
     | 'probably_no'
     | 'unknown'
 
-export type LearnedSemanticSide =
-    | 'positive'
-    | 'negative'
-    | 'unknown'
-
-export type GekanatorQuestionPurpose =
-    | 'effective_user_suggested'
-    | 'learning_user_suggested'
-    | 'normal'
-
 export type GekanatorAnswerLog = {
     questionId:       string
     questionText:     string
     questionCondition?:  GekanatorQuestionCondition
     questionMode?:    'normal' | 'winning_run'
-    questionPurpose?: GekanatorQuestionPurpose
-    effectiveQuestion?: boolean
-    learningQuestion?: boolean
     answer:           GekanatorAnswerValue
     originalAnswer:   GekanatorAnswerValue }
 
@@ -43,7 +30,7 @@ export type GekanatorQuestionSource =
     | 'ai_generated'
     | 'admin_curated'
 
-export type GekanatorPerformanceMode = 'normal'
+export type GekanatorPerformanceMode = 'lite' | 'normal'
 
 export type GekanatorQuestionCondition =
     | { type: 'tag'; key: string }
@@ -75,7 +62,6 @@ export type GekanatorExtraQuestion = {
     priorityWeight:  number }
 
 export type StoredGekanatorQuestion = {
-    recordId?:       number
     id:              string
     text:            string
     kind:            GekanatorQuestionKind
@@ -85,7 +71,6 @@ export type StoredGekanatorQuestion = {
     exampleAnswers?: Record<`${ number }`, GekanatorAnswerValue> }
 
 export type GekanatorQuestion = {
-    recordId?:       number
     id:              string
     text:            string
     kind:            GekanatorQuestionKind
@@ -163,7 +148,7 @@ const directExampleAnswerFor = (
     question:  StoredGekanatorQuestion,
     post:      Post,
 ): GekanatorAnswerValue | null => {
-  if (question.kind !== 'post_similarity' && question.kind !== 'tag')
+  if (question.kind !== 'post_similarity')
     return null
 
   const direct = question.exampleAnswers?.[String (post.id) as `${ number }`]
@@ -176,26 +161,6 @@ const directExampleAnswerFor = (
   return null
 }
 
-
-export const isLearnedSemanticQuestion = (
-    question:  StoredGekanatorQuestion | GekanatorQuestion,
-): boolean =>
-    question.kind === 'post_similarity'
-    && question.source === 'user_suggested'
-
-
-export const learnedSemanticSideForAnswer = (
-    answer:  GekanatorAnswerValue | null,
-): LearnedSemanticSide => {
-  if (answer === 'yes' || answer === 'partial')
-    return 'positive'
-
-  if (answer === 'no' || answer === 'probably_no')
-    return 'negative'
-
-  return 'unknown'
-}
-
 const countBy = <T extends string | number> (values: T[]): Map<T, number> => {
   const counts = new Map<T, number> ()
   values.forEach (value => counts.set (value, (counts.get (value) ?? 0) + 1))
@@ -318,8 +283,8 @@ const questionMatches = (
 ): boolean => {
   const directAnswer = directExampleAnswerFor (question, post)
   if (directAnswer)
-    return question.kind === 'post_similarity'
-	? learnedSemanticSideForAnswer (directAnswer) === 'positive'
+    return question.condition.type === 'post-similarity'
+	? directAnswer === question.condition.answer
 	: directAnswer === 'yes'
 
   switch (question.condition.type)
@@ -361,11 +326,6 @@ export const expectedAnswerForQuestion = (
 
   switch (question.condition.type)
   {
-  case 'post-similarity':
-    if (question.condition.postId === post.id)
-      return question.condition.answer
-
-    return null
   case 'tag':
   case 'source':
   case 'original-year':
@@ -376,24 +336,18 @@ export const expectedAnswerForQuestion = (
   case 'title-has-ascii':
   case 'title-contains':
     return questionMatches (post, question) ? 'yes' : 'no'
+  case 'post-similarity':
+    return null
   }
 }
 
 
-export const learnedSemanticSideForPost = (
-    question:  StoredGekanatorQuestion | GekanatorQuestion | undefined,
-    post:      Post | null,
-): LearnedSemanticSide =>
-    learnedSemanticSideForAnswer (expectedAnswerForQuestion (question, post))
-
-
 export const restoreGekanatorQuestion = (
     question:  StoredGekanatorQuestion,
 ): GekanatorQuestion => {
   const normalizedCondition = normalizeTitleLengthCondition (question.condition)
   const normalizedQuestion = {
       ...question,
-      recordId: question.recordId,
       id: normalizedCondition.type === 'title-length-at-least'
 	  ? `title:length-at-least:${ normalizedCondition.length }`
 	  : question.id,
@@ -413,7 +367,6 @@ export const storeGekanatorQuestion = (
   id: question.condition.type === 'title-length-greater-than'
       ? `title:length-at-least:${ question.condition.length + 1 }`
       : question.id,
-  recordId: question.recordId,
   text: question.text,
   kind: question.kind,
   condition: normalizeTitleLengthCondition (question.condition),
@@ -466,15 +419,15 @@ export const buildGekanatorQuestions = (
   const originalYears = countBy (
       posts
       .map (originalYearOf)
-      .filter ((year): year is number => year != null))
+      .filter ((year): year is number => year !== null))
   const originalMonths = countBy (
       posts
       .map (originalMonthOf)
-      .filter ((month): month is number => month != null))
+      .filter ((month): month is number => month !== null))
   const originalMonthDays = countBy (
       posts
       .map (originalMonthDayOf)
-      .filter ((monthDay): monthDay is string => monthDay != null))
+      .filter ((monthDay): monthDay is string => monthDay !== null))
   const titleLengthMedian = median (posts.map (post => post.title?.length ?? 0))
   const titleWordCounts =
       includeTitleContains
@@ -628,7 +581,7 @@ export const saveGekanatorGame = async ({
     guessedPostId:  number
     correctPostId:  number
     answers:        GekanatorAnswerLog[]
-}): Promise<{ id: number; learnedExampleCount: number }> =>
+}): Promise<{ id: number }> =>
     await apiPost ('/gekanator/games', {
 	guessed_post_id: guessedPostId,
 	correct_post_id: correctPostId,
@@ -636,28 +589,21 @@ export const saveGekanatorGame = async ({
 	    question_id: answer.questionId,
 	    question_text: answer.questionText,
 	    question_condition: answer.questionCondition ?? null,
-	    question_mode: answer.questionMode,
-	    question_purpose: answer.questionPurpose,
-	    effective_question: answer.effectiveQuestion,
-	    learning_question: answer.learningQuestion,
 	    answer: answer.answer,
 	    original_answer: answer.originalAnswer })) })
 
 
 export const saveGekanatorQuestionSuggestion = async ({
     gekanatorGameId,
-    existingQuestionId,
     questionText,
     answer,
 }: {
     gekanatorGameId:  number
-    existingQuestionId?: number
-    questionText?:    string
+    questionText:     string
     answer:           GekanatorAnswerValue
 }): Promise<{ id: number; count: number }> =>
     await apiPost ('/gekanator/question_suggestions', {
 	gekanator_game_id: gekanatorGameId,
-	existing_question_id: existingQuestionId,
 	question_text: questionText,
 	answer })
 

frontend/src/lib/gekanatorCandidateRecovery.test.ts

@@ -11,7 +11,6 @@ import type {
     GekanatorAnswerValue,
     GekanatorQuestion,
 } from '@/lib/gekanator'
-import type { RecoveredCandidateState } from '@/lib/gekanatorCandidateRecovery'
 import type { Post } from '@/types'
 
 
@@ -52,21 +51,6 @@ const postSimilarityQuestion = (
 })
 
 
-const sourceQuestion = (
-    host:  string,
-): GekanatorQuestion => ({
-  id: `source:${ host }`,
-  text: `${ host }?`,
-  kind: 'source',
-  condition: {
-      type: 'source',
-      host },
-  source: 'default',
-  priorityWeight: 1,
-  test: candidate => new URL (candidate.url).hostname === host,
-})
-
-
 const answer = (
     question:  GekanatorQuestion,
     value:     GekanatorAnswerValue,
@@ -79,17 +63,8 @@ const answer = (
 })
 
 
-const recoveredState = (
-    answerCountAtRecovery:  number,
-    scoreAtRecovery = 0,
-): RecoveredCandidateState => ({
-  answerCountAtRecovery,
-  scoreAtRecovery,
-})
-
-
 describe('candidatePostsFor', () => {
-  it('does not hard-filter semantic post_similarity answers', () => {
+  it('lets recovered candidates ignore old answers but not later answers', () => {
     const posts = [post (1), post (2), post (3)]
     const oldQuestion = postSimilarityQuestion ('old', {
 	1: 'no',
@@ -109,31 +84,8 @@ describe('candidatePostsFor', () => {
 	softenedQuestionIds: new Set (),
 	rejectedPostIds: new Set (),
 	recoveredCandidatePosts: new Map ([
-	    [1, recoveredState (1)],
-	    [3, recoveredState (1)],
-	]) })
-
-    expect(candidates.map (candidate => candidate.id)).toEqual ([1, 2, 3])
-  })
-
-  it('lets recovered candidates ignore old fact answers but not later fact answers', () => {
-    const posts = [
-	{ ...post (1), url: 'https://other.example/posts/1' },
-	post (2),
-	{ ...post (3), url: 'https://example.com/posts/3' },
-    ]
-    const oldQuestion = sourceQuestion ('old.example.com')
-    const laterQuestion = sourceQuestion ('example.com')
-
-    const candidates = candidatePostsFor ({
-	posts,
-	questions: [oldQuestion, laterQuestion],
-	answers: [answer (oldQuestion, 'yes'), answer (laterQuestion, 'yes')],
-	softenedQuestionIds: new Set (),
-	rejectedPostIds: new Set (),
-	recoveredCandidatePosts: new Map ([
-	    [1, recoveredState (1)],
-	    [3, recoveredState (1)],
+	    [1, 1],
+	    [3, 1],
 	]) })
 
     expect(candidates.map (candidate => candidate.id)).toEqual ([3])
@@ -152,7 +104,7 @@ describe('candidatePostsFor', () => {
 	answers: [answer (question, 'yes')],
 	softenedQuestionIds: new Set (),
 	rejectedPostIds: new Set ([1]),
-	recoveredCandidatePosts: new Map ([[1, recoveredState (1)]]) })
+	recoveredCandidatePosts: new Map ([[1, 1]]) })
 
     expect(candidates.map (candidate => candidate.id)).toEqual ([2])
   })
@@ -160,7 +112,7 @@ describe('candidatePostsFor', () => {
 
 
 describe('hardFilteredPostsForAnswer', () => {
-  it('keeps the original pool for semantic post_similarity answers', () => {
+  it('returns zero candidates without falling back to the original pool', () => {
     const posts = [post (1), post (2)]
     const question = postSimilarityQuestion ('question', {
 	1: 'yes',
@@ -171,41 +123,7 @@ describe('hardFilteredPostsForAnswer', () => {
 	posts,
 	question,
 	answer: 'no',
-    })).toEqual (posts)
-  })
-
-  it('hard-filters fact answers only for yes and no', () => {
-    const posts = [
-	{ ...post (1), url: 'https://example.com/posts/1' },
-	{ ...post (2), url: 'https://other.example/posts/2' },
-    ]
-    const question = sourceQuestion ('example.com')
-
-    expect(hardFilteredPostsForAnswer ({
-	posts,
-	question,
-	answer: 'yes',
-    }).map (candidate => candidate.id)).toEqual ([1])
-    expect(hardFilteredPostsForAnswer ({
-	posts,
-	question,
-	answer: 'no',
-    }).map (candidate => candidate.id)).toEqual ([2])
-    expect(hardFilteredPostsForAnswer ({
-	posts,
-	question,
-	answer: 'partial',
-    })).toEqual (posts)
-    expect(hardFilteredPostsForAnswer ({
-	posts,
-	question,
-	answer: 'probably_no',
-    })).toEqual (posts)
-    expect(hardFilteredPostsForAnswer ({
-	posts,
-	question,
-	answer: 'unknown',
-    })).toEqual (posts)
+    })).toEqual ([])
   })
 })
 
@@ -219,7 +137,7 @@ describe('recoverCandidatePosts', () => {
 	posts,
 	scores,
 	rejectedPostIds: new Set ([10]),
-	recoveredCandidatePosts: new Map ([[8, recoveredState (1, 8)]]),
+	recoveredCandidatePosts: new Map ([[8, 1]]),
 	eligiblePostIds: new Set ([9]),
 	answerCountAtRecovery: 2,
 	recoveryStepCount: 0,
@@ -228,10 +146,7 @@ describe('recoverCandidatePosts', () => {
     expect(recovered?.recoveryStepCount).toBe (1)
     expect([...(recovered?.recoveredCandidatePosts.keys () ?? [])])
       .toEqual ([8, 7, 6, 5, 4])
-    expect(recovered?.recoveredCandidatePosts.get (7)).toEqual ({
-	answerCountAtRecovery: 2,
-	scoreAtRecovery: 7,
-    })
+    expect(recovered?.recoveredCandidatePosts.get (7)).toBe (2)
   })
 
   it('does not add posts when recovered and eligible candidates already hit the target', () => {
@@ -243,9 +158,9 @@ describe('recoverCandidatePosts', () => {
 	scores,
 	rejectedPostIds: new Set (),
 	recoveredCandidatePosts: new Map ([
-	    [1, recoveredState (1, 1)],
-	    [2, recoveredState (1, 2)],
-	    [3, recoveredState (1, 3)],
+	    [1, 1],
+	    [2, 1],
+	    [3, 1],
 	]),
 	eligiblePostIds: new Set ([4, 5, 6]),
 	answerCountAtRecovery: 2,

frontend/src/lib/gekanatorCandidateRecovery.ts

@@ -1,49 +1,43 @@
-import { isLearnedSemanticQuestion,
-	 learnedSemanticSideForPost } from '@/lib/gekanator'
+import { expectedAnswerForQuestion } from '@/lib/gekanator'
 
-import type { GekanatorAnswerLog, GekanatorAnswerValue, GekanatorQuestion } from '@/lib/gekanator'
+import type {
+    GekanatorAnswerLog,
+    GekanatorAnswerValue,
+    GekanatorQuestion,
+} from '@/lib/gekanator'
 import type { Post } from '@/types'
 
+
 export type RecoveredCandidatePost = {
     postId:                number
-    answerCountAtRecovery: number
-    scoreAtRecovery:       number }
-
-export type RecoveredCandidateState = {
-    answerCountAtRecovery: number
-    scoreAtRecovery:       number }
+    answerCountAtRecovery: number }
 
 
-const questionSupportsAnswerBasedHardFiltering = (question:  GekanatorQuestion): boolean =>
-    !(isLearnedSemanticQuestion (question)
-      || (question.kind === 'tag'
-	  && question.condition.type === 'tag'
-	  && !(question.condition.key.startsWith ('nico:'))))
-
-
-export const candidatePostsFor = (
-    { posts,
+export const candidatePostsFor = ({
+    posts,
     questions,
     answers,
     softenedQuestionIds,
     rejectedPostIds,
-      recoveredCandidatePosts }: { posts:                   Post[]
+    recoveredCandidatePosts,
+}: {
+    posts:                   Post[]
     questions:               GekanatorQuestion[]
     answers:                 GekanatorAnswerLog[]
     softenedQuestionIds:     Set<string>
     rejectedPostIds:         Set<number>
-				   recoveredCandidatePosts: Map<number, RecoveredCandidateState> },
-): Post[] => {
+    recoveredCandidatePosts: Map<number, number>
+}): Post[] => {
   const questionById = new Map (questions.map (question => [question.id, question]))
 
   return posts.filter (post => {
     if (rejectedPostIds.has (post.id))
       return false
 
-    const recoveredCandidate = recoveredCandidatePosts.get (post.id)
+    const answerCountAtRecovery = recoveredCandidatePosts.get (post.id)
 
     return answers.every ((answer, index) => {
-      if (recoveredCandidate != null && index < recoveredCandidate.answerCountAtRecovery)
+      if (answerCountAtRecovery !== undefined && index < answerCountAtRecovery)
 	return true
 
       if (softenedQuestionIds.has (answer.questionId))
@@ -52,18 +46,13 @@ export const candidatePostsFor = (
       const question = questionById.get (answer.questionId)
       if (!(question))
 	return true
-      if (!(questionSupportsAnswerBasedHardFiltering (question)))
-	return true
 
       switch (answer.answer)
       {
       case 'yes':
-      case 'no':
-	{
-	  const expected = learnedSemanticSideForPost (question, post)
-	  return expected === 'unknown'
-	      || (answer.answer === 'yes' && expected === 'positive')
-	      || (answer.answer === 'no' && expected === 'negative')
+      case 'no': {
+	const expected = expectedAnswerForQuestion (question, post)
+	return expected === null || expected === 'unknown' || expected === answer.answer
       }
       default:
 	return true
@@ -73,27 +62,30 @@ export const candidatePostsFor = (
 }
 
 
-export const hardFilteredPostsForAnswer = (
-    { posts, question, answer }: { posts:     Post[]
+export const hardFilteredPostsForAnswer = ({
+    posts,
+    question,
+    answer,
+}: {
+    posts:     Post[]
     question:  GekanatorQuestion
-				   answer:    GekanatorAnswerValue },
-): Post[] => {
-  if (!(questionSupportsAnswerBasedHardFiltering (question)))
-    return posts
-
-  if (!(answer === 'yes' || answer === 'no'))
+    answer:    GekanatorAnswerValue
+}): Post[] => {
+  if (answer === 'unknown')
     return posts
 
   return posts.filter (post => {
-    const side = learnedSemanticSideForPost (question, post)
-    return side === 'unknown'
-	|| (answer === 'yes' && side === 'positive')
-	|| (answer === 'no' && side === 'negative')
+    const expected = expectedAnswerForQuestion (question, post)
+    return expected === null || expected === 'unknown' || expected === answer
   })
 }
 
 
-const concreteAnswerOptions: GekanatorAnswerValue[] = ['yes', 'no', 'partial', 'probably_no']
+const concreteAnswerOptions: GekanatorAnswerValue[] = [
+    'yes',
+    'no',
+    'partial',
+    'probably_no']
 
 
 export const allConcreteAnswerOptionsExhausted = (
@@ -112,48 +104,53 @@ const nextRecoveryTargetSize = (recoveryStepCount: number): number =>
     6 * (2 ** recoveryStepCount)
 
 
-export const recoverCandidatePosts = (
-    { posts,
+export const recoverCandidatePosts = ({
+    posts,
     scores,
     rejectedPostIds,
     recoveredCandidatePosts,
     eligiblePostIds,
     answerCountAtRecovery,
-      recoveryStepCount }: { posts:                   Post[]
+    recoveryStepCount,
+}: {
+    posts:                   Post[]
     scores:                  Map<number, number>
     rejectedPostIds:         Set<number>
-			     recoveredCandidatePosts: Map<number, RecoveredCandidateState>
+    recoveredCandidatePosts: Map<number, number>
     eligiblePostIds:         Set<number>
     answerCountAtRecovery:   number
-			     recoveryStepCount:       number },
-): { recoveredCandidatePosts: Map<number, RecoveredCandidateState>
-     recoveryStepCount:       number } | null => {
+    recoveryStepCount:       number
+}): {
+    recoveredCandidatePosts: Map<number, number>
+    recoveryStepCount:       number
+} | null => {
   const recovered = new Map (recoveredCandidatePosts)
   const targetSize = nextRecoveryTargetSize (recoveryStepCount)
-  const countedPostIds = new Set ([...eligiblePostIds, ...recovered.keys ()])
+  const countedPostIds = new Set ([
+      ...eligiblePostIds,
+      ...recovered.keys ()])
   const addCount = targetSize - countedPostIds.size
   if (addCount <= 0)
-    {
-      return { recoveredCandidatePosts: recovered,
+    return {
+	recoveredCandidatePosts: recovered,
 	recoveryStepCount: recoveryStepCount + 1 }
-    }
 
-  const candidates =
-      posts
-      .filter (post => (!(rejectedPostIds.has (post.id))
+  const candidates = posts
+      .filter (post =>
+	  !(rejectedPostIds.has (post.id))
 	  && !(eligiblePostIds.has (post.id))
-			&& !(recovered.has (post.id))))
-      .sort ((a, b) => ((scores.get (b.id) ?? Number.NEGATIVE_INFINITY)
-			- (scores.get (a.id) ?? Number.NEGATIVE_INFINITY)))
+	  && !(recovered.has (post.id)))
+      .sort ((a, b) =>
+	  (scores.get (b.id) ?? Number.NEGATIVE_INFINITY)
+	      - (scores.get (a.id) ?? Number.NEGATIVE_INFINITY))
       .slice (0, addCount)
 
   if (candidates.length === 0)
     return null
 
-  candidates.forEach (post => recovered.set (post.id, {
-      answerCountAtRecovery,
-      scoreAtRecovery: scores.get (post.id) ?? 0 }))
+  candidates.forEach (post => recovered.set (post.id, answerCountAtRecovery))
 
-  return { recoveredCandidatePosts: recovered,
+  return {
+      recoveredCandidatePosts: recovered,
       recoveryStepCount: recoveryStepCount + 1 }
 }

frontend/src/pages/GekanatorPage.test.tsx

@@ -1,6 +1,3 @@
-import { readFileSync } from 'node:fs'
-import { resolve } from 'node:path'
-
 import { describe, expect, it } from 'vitest'
 
 import { isQuestionHardFilteredAfterAnswers } from '@/lib/gekanatorQuestionFilters'
@@ -52,89 +49,6 @@ const blocked = (
     isQuestionHardFilteredAfterAnswers (question (candidate), [answer (previous, value)])
 
 
-const gekanatorPageSource = readFileSync (
-    resolve (process.cwd (), 'src/pages/GekanatorPage.tsx'),
-    'utf8')
-
-const gekanatorBackdropSource = gekanatorPageSource.slice (
-    gekanatorPageSource.indexOf ('const GekanatorBackdrop'),
-    gekanatorPageSource.indexOf ('const expectedAnswerFor'))
-
-const gekanatorChooseQuestionSource = gekanatorPageSource.slice (
-    gekanatorPageSource.indexOf ('const chooseQuestion'),
-    gekanatorPageSource.indexOf ('const winningRunPriorityFor'))
-
-const gekanatorFallbackQuestionSource = gekanatorPageSource.slice (
-    gekanatorPageSource.indexOf ('const chooseFallbackQuestion'),
-    gekanatorPageSource.indexOf ('const shouldEnterGuessPhase'))
-
-
-describe('GekanatorBackdrop regression structure', () => {
-  it('keeps displayedBackdropMode as the render-time source of truth', () => {
-    expect(gekanatorBackdropSource).not.toContain ('isLeavingGuessBackdrop')
-    expect(gekanatorBackdropSource).not.toContain ('renderBackdropMode')
-    expect(gekanatorBackdropSource).not.toContain ('renderWinningRunCount')
-    expect(gekanatorBackdropSource).not.toContain ('renderThumbnails')
-    expect(gekanatorBackdropSource).not.toContain ('renderIsCrossfading')
-
-    expect(gekanatorBackdropSource).toContain (
-      "const renderedSettings = settingsForMode (displayedBackdropMode)")
-    expect(gekanatorBackdropSource).toContain (
-      'scaleForMode (displayedBackdropMode, displayedWinningRunCount)')
-    expect(gekanatorBackdropSource).toContain (
-      "backdropMode === 'guess' || displayedBackdropMode === 'guess'")
-  })
-
-  it('does not split guess into a separate renderer or force a remount', () => {
-    expect(gekanatorBackdropSource).not.toContain ('renderStaticGuessBackdrop')
-    expect(gekanatorBackdropSource).not.toContain ('guessZoomAnimationKey')
-    expect(gekanatorBackdropSource).not.toContain ('shouldAnimateGuessZoomIn')
-    expect(gekanatorBackdropSource).not.toContain ('previousBackdropModeRef')
-    expect(gekanatorBackdropSource).not.toContain (
-      'if (isGuessPresentation && guessThumbnail)')
-  })
-
-  it('keeps tile keys independent from backdrop mode', () => {
-    expect(gekanatorBackdropSource).toContain ('key={duplicate}')
-    expect(gekanatorBackdropSource).toContain ('key={`${ duplicate }:${ index }`}')
-    expect(gekanatorBackdropSource).not.toMatch (/key=\{`\$\{\s*mode/)
-    expect(gekanatorBackdropSource).not.toMatch (/key=\{`\$\{\s*displayedBackdropMode/)
-  })
-
-  it('keeps guess on the shared scale, x, and y animation path', () => {
-    expect(gekanatorBackdropSource).toContain ('animate={{ scale: renderedScale')
-    expect(gekanatorBackdropSource).toContain (
-      "x: displayedBackdropMode === 'guess' ? guessFocusOffset.x : '0%'")
-    expect(gekanatorBackdropSource).toContain (
-      "y: displayedBackdropMode === 'guess' ? guessFocusOffset.y : '0%'")
-  })
-})
-
-
-describe('Gekanator question selection regression structure', () => {
-  it('prefers normal questions after user_suggested quota has been met', () => {
-    const normalFallbackIndex = gekanatorChooseQuestionSource.indexOf (
-      'else if (normalPool.length > 0)')
-    const effectiveFallbackIndex = gekanatorChooseQuestionSource.indexOf (
-      'else if (effectiveUserSuggestedPool.length > 0)')
-
-    expect(normalFallbackIndex).toBeGreaterThan(0)
-    expect(effectiveFallbackIndex).toBeGreaterThan(0)
-    expect(normalFallbackIndex).toBeLessThan(effectiveFallbackIndex)
-  })
-
-  it('does not let fallback questions bypass user_suggested purpose tracking', () => {
-    expect(gekanatorFallbackQuestionSource).toContain (
-      "question.source !== 'user_suggested'")
-  })
-
-  it('does not show a fixed extra-question count in the extra learning UI', () => {
-    expect(gekanatorPageSource).not.toContain ('追加で 2 問まで答えてください。')
-    expect(gekanatorPageSource).toContain ('追加で質問に答えてください。')
-  })
-})
-
-
 describe('isQuestionHardFilteredAfterAnswers', () => {
   it('blocks only contradictory or redundant month questions after a yes answer', () => {
     const previous: GekanatorQuestionCondition = { type: 'original-month', month: 12 }

frontend/src/types.ts

@@ -139,10 +139,6 @@ export type Post = {
     title:                  string | null
     thumbnail:              string | null
     thumbnailBase:          string | null
-    postSimilarityEdges?:   {
-			      targetPostId: number
-			      cos:          number
-			  }[]
     tags:                   Tag[]
     parentPosts?:           Post[]
     childPosts?:            Post[]