import { animate, motion, useMotionTemplate, useMotionValue } from 'framer-motion' import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query' import { useCallback, useEffect, useMemo, useRef, useState } from 'react' import { Helmet } from 'react-helmet-async' import PrefetchLink from '@/components/PrefetchLink' import MainArea from '@/components/layout/MainArea' import { SITE_TITLE } from '@/config' import { expectedAnswerForQuestion, fetchGekanatorExtraQuestions, fetchGekanatorQuestions, fetchGekanatorPosts, normalizeTitleLengthCondition, questionIdForCondition, restoreGekanatorQuestion, saveGekanatorExtraQuestionAnswers, saveGekanatorGame, saveGekanatorQuestionSuggestion, storeGekanatorQuestion, titleLengthMinimumForCondition } from '@/lib/gekanator' import { recoverCandidatePosts } from '@/lib/gekanatorCandidateRecovery' import { isQuestionHardFilteredAfterAnswers, monthForCondition } from '@/lib/gekanatorQuestionFilters' import { gekanatorKeys } from '@/lib/queryKeys' import { cn } from '@/lib/utils' import type { FC } from 'react' import type { GekanatorAnswerLog, GekanatorAnswerValue, GekanatorExtraQuestion, GekanatorPerformanceMode, GekanatorQuestionCondition, GekanatorQuestionKind, GekanatorQuestion, StoredGekanatorQuestion } from '@/lib/gekanator' import type { RecoveredCandidatePost } from '@/lib/gekanatorCandidateRecovery' import type { Post, User } from '@/types' type Phase = | 'intro' | 'question' | 'guess' | 'continue' | 'end' | 'review' | 'question_suggestion' | 'extra_questions' | 'learned' type AnswerOption = { label: string value: GekanatorAnswerValue } type Confidence = { post: Post score: number percent: number } type AnswerPreview = { answer: GekanatorAnswerValue top: Confidence | null candidateCount: number effectiveCandidates: number entropy: number } type GameSnapshot = { phase: Phase scores: Map answers: GekanatorAnswerLog[] askedIds: Set softenedQuestionIds: Set recoveredCandidatePosts: Map recoveryStepCount: number askedQuestionBank: GekanatorQuestion[] search: string selectingCorrectPost: boolean rejectedPostIds: Set lastGuessQuestionCount: number lastRejectedGuessId: number | null winningRunTargetId: number | null winningRunStartAnswerCount: number | null guessReason: GuessReason | null activeGuessId: number | null reviewGuessedPostId: number | null reviewCorrectPostId: number | null } type StoredGekanatorGame = { phase: Phase scores: [number, number][] answers: GekanatorAnswerLog[] askedIds: string[] softenedQuestionIds: string[] recoveredCandidatePosts?: RecoveredCandidatePost[] recoveryStepCount?: number askedQuestionBank?: StoredGekanatorQuestion[] askedQuestionBankIds?: string[] search: string selectingCorrectPost: boolean saved: boolean resultWon: boolean | null rejectedPostIds: number[] lastGuessQuestionCount: number lastRejectedGuessId: number | null winningRunTargetId?: number | null winningRunStartAnswerCount?: number | null guessReason?: GuessReason | null activeGuessId: number | null reviewGuessedPostId: number | null reviewCorrectPostId: number | null savedGameId: number | null gameSeed?: string questionSuggestion: string questionSuggestionAnswer: GekanatorAnswerValue questionSuggestionCount?: number extraQuestions?: GekanatorExtraQuestion[] extraQuestionAnswers?: Record extraQuestionState?: 'idle' | 'loading' | 'ready' | 'empty' | 'saved' } type RecentGameSummary = { correctPostId: number firstQuestionId: string | null savedAt: number } type BackgroundMotionMode = 'on' | 'calm' | 'off' type GuessReason = | 'hard_max_questions' | 'winning_run_finished' | 'question_count_checkpoint' | 'question_generation_stalled' type QuestionMode = | 'winning_run' | 'normal' | null type MascotState = | 'idle' | 'thinking_far' | 'thinking_mid' | 'thinking_near' | 'confident' | 'celebrate' | 'failed' const answerOptions: AnswerOption[] = [ { label: 'はい', value: 'yes' }, { label: 'いいえ', value: 'no' }, { label: '部分的にそう', value: 'partial' }, { label: 'たぶんいいえ', value: 'probably_no' }, { label: 'わからない', value: 'unknown' }] const answerLabelFor = (value: GekanatorAnswerValue): string => answerOptions.find (option => option.value === value)?.label ?? value const minQuestionsBeforeCertainGuess = 25 const hardMaxQuestions = 80 const winningRunQuestionLimit = 3 const softenedAnswerWeight = .35 const confidenceTemperature = 6 const gameStorageKey = 'gekanator:game:v1' const recentGamesStorageKey = 'gekanator:recent-games:v1' const backgroundMotionStorageKey = 'gekanator:background-motion:v1' const performanceModeStorageKey = 'gekanator:performance-mode:v1' const maxQuestionSuggestionsPerGame = 3 const maxStoredRecentGames = 12 const mascotAssetByState: Record = { idle: '/gekanator/mascot-idle.png', thinking_far: '/gekanator/mascot-thinking-far.png', thinking_mid: '/gekanator/mascot-thinking-mid.png', thinking_near: '/gekanator/mascot-thinking-near.png', confident: '/gekanator/mascot-confident.png', celebrate: '/gekanator/mascot-celebrate.png', failed: '/gekanator/mascot-failed.png' } const mascotAltByState: Record = { idle: '待機する洗澡鹿', thinking_far: '遠くを見つめる洗澡鹿', thinking_mid: '考え込む洗澡鹿', thinking_near: '見通しが立ってきた洗澡鹿', confident: '見通した顔の洗澡鹿', celebrate: 'ご満悦の洗澡鹿', failed: 'しょんぼりした洗澡鹿' } const sourcePriorityOffset = (question: GekanatorQuestion): number => { switch (question.source) { case 'user_suggested': return -1.2 case 'admin_curated': return -0.8 case 'ai_generated': return -0.6 default: return 0 } } const priorityWeightOffset = (question: GekanatorQuestion): number => (Math.min (3, Math.max (.2, question.priorityWeight)) - 1) * -.8 const createGameSeed = (): string => { if (typeof crypto !== 'undefined' && typeof crypto.randomUUID === 'function') return crypto.randomUUID () return `${ Date.now () }:${ Math.random ().toString (36).slice (2) }` } const normalizeStoredQuestionId = ( questionId: string, condition?: GekanatorQuestionCondition, ): string => { if (condition?.type === 'title-length-greater-than') return `title:length-at-least:${ condition.length + 1 }` if (questionId.startsWith ('title:length-greater-than:')) { const length = Number (questionId.split (':').pop ()) if (Number.isInteger (length)) return `title:length-at-least:${ length + 1 }` } return questionId } const normalizeStoredGame = (game: StoredGekanatorGame): StoredGekanatorGame => ({ ...game, answers: game.answers.map (answer => ({ ...answer, questionId: normalizeStoredQuestionId (answer.questionId, answer.questionCondition), questionMode: ((answer.questionMode === 'winning_run' || answer.questionMode === 'normal') ? answer.questionMode : undefined), questionCondition: (answer.questionCondition ? normalizeTitleLengthCondition (answer.questionCondition) : undefined) })), askedIds: game.askedIds.map (questionId => normalizeStoredQuestionId (questionId)), softenedQuestionIds: (game.softenedQuestionIds .map (questionId => normalizeStoredQuestionId (questionId))), recoveredCandidatePosts: game.recoveredCandidatePosts ?? [], recoveryStepCount: game.recoveryStepCount ?? 0, winningRunTargetId: game.winningRunTargetId ?? null, winningRunStartAnswerCount: game.winningRunStartAnswerCount ?? null, askedQuestionBank: game.askedQuestionBank?.map (question => ({ ...question, id: normalizeStoredQuestionId (question.id, question.condition), condition: normalizeTitleLengthCondition (question.condition) })), askedQuestionBankIds: ( game.askedQuestionBankIds?.map (questionId => normalizeStoredQuestionId (questionId))) }) const sourcePriorityForMerge = (question: GekanatorQuestion): number => { switch (question.source) { case 'user_suggested': return 3 case 'admin_curated': return 3 case 'ai_generated': return 3 default: return 1 } } const shouldReplaceMergedQuestion = ( current: GekanatorQuestion | undefined, candidate: GekanatorQuestion, ): boolean => { if (!(current)) return true const currentSourcePriority = sourcePriorityForMerge (current) const candidateSourcePriority = sourcePriorityForMerge (candidate) if (candidateSourcePriority !== currentSourcePriority) return candidateSourcePriority > currentSourcePriority if (candidate.priorityWeight !== current.priorityWeight) return candidate.priorityWeight > current.priorityWeight return true } const hashString = (value: string): number => { let hash = 2166136261 for (let i = 0; i < value.length; ++i) { hash ^= value.charCodeAt (i) hash = Math.imul (hash, 16777619) } return hash >>> 0 } const deterministicUnitFloat = (seed: string): number => hashString (seed) / 4294967295 const clearStoredGame = (): void => { try { sessionStorage.removeItem (gameStorageKey) } catch { return } } const loadStoredGame = (): StoredGekanatorGame | null => { try { const raw = sessionStorage.getItem (gameStorageKey) if (!(raw)) return null return normalizeStoredGame (JSON.parse (raw) as StoredGekanatorGame) } catch { clearStoredGame () return null } } const isStoredPhase = (phase: Phase): boolean => phase !== 'intro' const loadRecentGames = (): RecentGameSummary[] => { try { const raw = localStorage.getItem (recentGamesStorageKey) if (!(raw)) return [] const parsed = JSON.parse (raw) if (!(Array.isArray (parsed))) return [] return parsed .filter ((item): item is RecentGameSummary => typeof item === 'object' && item !== null && Number.isInteger ((item as RecentGameSummary).correctPostId) && (((item as RecentGameSummary).firstQuestionId === null) || typeof (item as RecentGameSummary).firstQuestionId === 'string') && Number.isFinite ((item as RecentGameSummary).savedAt)) .sort ((a, b) => b.savedAt - a.savedAt) .slice (0, maxStoredRecentGames) } catch { return [] } } const storeRecentGameSummary = ( summary: RecentGameSummary, ): RecentGameSummary[] => { const next = [ summary, ...loadRecentGames ().filter (item => item.savedAt !== summary.savedAt && !( item.correctPostId === summary.correctPostId && item.firstQuestionId === summary.firstQuestionId))] .slice (0, maxStoredRecentGames) try { localStorage.setItem (recentGamesStorageKey, JSON.stringify (next)) } catch { return next } return next } const loadBackgroundMotionMode = ( performanceMode?: GekanatorPerformanceMode, ): BackgroundMotionMode => { const fallbackMode = performanceMode === 'lite' ? 'off' : performanceMode === 'normal' ? 'on' : detectDefaultPerformanceMode () === 'lite' ? 'off' : 'on' try { const raw = localStorage.getItem (backgroundMotionStorageKey) if (raw === 'off' || raw === 'calm' || raw === 'on') return raw return fallbackMode } catch { return fallbackMode } } const detectDefaultPerformanceMode = (): GekanatorPerformanceMode => { if (typeof window === 'undefined') return 'normal' const isMobileWidth = typeof window.matchMedia === 'function' ? window.matchMedia ('(max-width: 767px)').matches : window.innerWidth <= 767 const memory = (navigator as Navigator & { deviceMemory?: number }).deviceMemory if ((typeof memory === 'number' && memory <= 4) || isMobileWidth) return 'lite' return 'normal' } const loadPerformanceMode = (): GekanatorPerformanceMode => { try { const raw = localStorage.getItem (performanceModeStorageKey) if (raw === 'lite' || raw === 'normal') return raw } catch { return detectDefaultPerformanceMode () } return detectDefaultPerformanceMode () } const resettableExtraQuestionState = (): { extraQuestions: GekanatorExtraQuestion[] extraQuestionAnswers: Record extraQuestionState: 'idle' } => ({ extraQuestions: [], extraQuestionAnswers: { }, extraQuestionState: 'idle' }) const recoveredCandidateMapFromStored = ( items: RecoveredCandidatePost[], ): Map => new Map (items.map (item => [item.postId, item.answerCountAtRecovery])) const storedRecoveredCandidatesFromMap = ( recoveredCandidatePosts: Map, ): RecoveredCandidatePost[] => [...recoveredCandidatePosts.entries ()].map (([postId, answerCountAtRecovery]) => ({ postId, answerCountAtRecovery })) const deltaFor = (matched: boolean, answer: GekanatorAnswerValue): number => { switch (answer) { case 'yes': return matched ? 4 : -4 case 'no': return matched ? -4 : 4 case 'partial': return matched ? 2 : -1 case 'probably_no': return matched ? -2 : 2 case 'unknown': return 0 } } const answerScalarFor = ( answer: GekanatorAnswerValue | null, ): number | null => { switch (answer) { case 'yes': return 1 case 'partial': return .5 case 'probably_no': return -.5 case 'no': return -1 case 'unknown': case null: return null } } const deltaForExpectedAnswer = ( expected: GekanatorAnswerValue | null, answer: GekanatorAnswerValue, ): number => { if (answer === 'unknown' || expected === null || expected === 'unknown') return 0 if (expected === 'yes' || expected === 'no') return deltaFor (expected === 'yes', answer) const expectedScalar = answerScalarFor (expected) const answerScalar = answerScalarFor (answer) if (expectedScalar === null || answerScalar === null) return 0 const distance = Math.abs (expectedScalar - answerScalar) if (distance >= 2) return -4 if (distance >= 1.5) return -2 if (distance >= 1) return 0 if (distance >= .5) return 2 return 4 } const distributionEntropy = (weights: number[]): number => weights.reduce ((sum, weight) => weight <= 0 ? sum : sum - weight * Math.log2 (weight), 0) const questionCategoryPenalty = ( question: GekanatorQuestion, answerCount: number, repeatPenalty: number, ): number => { const earlyFactor = Math.max (0, (3 - answerCount) / 3) const titleLengthPenalty = titleLengthMinimumForCondition (question.condition) === null ? 0 : (answerCount === 0 ? 8 : 3.5) * earlyFactor switch (question.kind) { case 'tag': return -2.8 * earlyFactor + repeatPenalty case 'post_similarity': return -3.2 * earlyFactor + repeatPenalty case 'title': return 3.4 * earlyFactor + titleLengthPenalty + repeatPenalty case 'source': case 'original_date': return 2.4 * earlyFactor + repeatPenalty default: return repeatPenalty } } const relatedPostIdsOf = (post: Post): number[] => { const siblingPosts = Object.values (post.siblingPosts ?? { }).flat () return [...new Set ([ ...(post.related ?? []).map (related => related.id), ...(post.parentPosts ?? []).map (parent => parent.id), ...(post.childPosts ?? []).map (child => child.id), ...siblingPosts.map (sibling => sibling.id)])] } const userPriorWeightsFor = ( posts: Post[], recentGames: RecentGameSummary[], ): Map => { const postById = new Map (posts.map (post => [post.id, post])) const weights = new Map () const addWeight = (postId: number, weight: number) => { if (!(postById.has (postId)) || weight <= 0) return weights.set (postId, (weights.get (postId) ?? 0) + weight) } recentGames.slice (0, 6).forEach ((game, index) => { const baseWeight = Math.max (.24, 1 - index * .18) addWeight (game.correctPostId, baseWeight) const correctPost = postById.get (game.correctPostId) if (!(correctPost)) return relatedPostIdsOf (correctPost).forEach (postId => addWeight (postId, baseWeight * .45)) }) return weights } const answerWeightFor = ( questionId: string, softenedQuestionIds: Set, ): number => softenedQuestionIds.has (questionId) ? softenedAnswerWeight : 1 const questionDifficulty = (question: GekanatorQuestion): number => { if (question.kind === 'source') return 4 if (question.kind === 'original_date') return 4 if (question.kind === 'title') return 4 if (question.kind === 'tag') return 3 return 1 } type GekanatorMatchIndex = Map> type GekanatorQuestionMaterialIndex = { postById: Map tagKeysByPostId: Map postIdsByTagKey: Map> titleTermsByPostId: Map postIdsByTitleTerm: Map> hostByPostId: Map postIdsByHost: Map> originalYearByPostId: Map postIdsByOriginalYear: Map> originalMonthByPostId: Map postIdsByOriginalMonth: Map> originalMonthDayByPostId: Map postIdsByOriginalMonthDay: Map> titleLengthByPostId: Map titleAsciiPostIds: Set titleLengthThresholdCache: Map> } const titleTermPattern = /[\p{Script=Han}\p{Script=Hiragana}\p{Script=Katakana}A-Za-z0-9]{2,}/gu const addPostIdToIndex = ( index: Map>, key: K, postId: number, ) => { const current = index.get (key) if (current) { current.add (postId) return } index.set (key, new Set ([postId])) } const buildMaterialIndex = ( posts: Post[], ): GekanatorQuestionMaterialIndex => { const postById = new Map () const tagKeysByPostId = new Map () const postIdsByTagKey = new Map> () const titleTermsByPostId = new Map () const postIdsByTitleTerm = new Map> () const hostByPostId = new Map () const postIdsByHost = new Map> () const originalYearByPostId = new Map () const postIdsByOriginalYear = new Map> () const originalMonthByPostId = new Map () const postIdsByOriginalMonth = new Map> () const originalMonthDayByPostId = new Map () const postIdsByOriginalMonthDay = new Map> () const titleLengthByPostId = new Map () const titleAsciiPostIds = new Set () posts.forEach (post => { postById.set (post.id, post) const tagKeys = post.tags .filter (tag => tag.category !== 'meta' && !(tag.name.includes ('タグ希望')) && !(tag.name.includes ('bot操作'))) .map (tag => `${ tag.category }:${ tag.name }`) tagKeysByPostId.set (post.id, tagKeys) tagKeys.forEach (key => addPostIdToIndex (postIdsByTagKey, key, post.id)) const titleTerms = Array.from ( new Set ((post.title ?? '').match (titleTermPattern) ?? [])) titleTermsByPostId.set (post.id, titleTerms) titleTerms.forEach (term => addPostIdToIndex (postIdsByTitleTerm, term, post.id)) const host = (() => { try { return new URL (post.url).hostname.replace (/^www\./, '') } catch { return null } }) () hostByPostId.set (post.id, host) if (host) addPostIdToIndex (postIdsByHost, host, post.id) const originalValue = post.originalCreatedFrom || post.originalCreatedBefore const date = originalValue ? new Date (originalValue) : null const validDate = date && !(Number.isNaN (date.getTime ())) ? date : null const originalYear = validDate?.getFullYear () ?? null const originalMonth = validDate ? validDate.getMonth () + 1 : null const originalMonthDay = validDate ? `${ validDate.getMonth () + 1 }-${ validDate.getDate () }` : null originalYearByPostId.set (post.id, originalYear) originalMonthByPostId.set (post.id, originalMonth) originalMonthDayByPostId.set (post.id, originalMonthDay) if (originalYear !== null) addPostIdToIndex (postIdsByOriginalYear, originalYear, post.id) if (originalMonth !== null) addPostIdToIndex (postIdsByOriginalMonth, originalMonth, post.id) if (originalMonthDay !== null) addPostIdToIndex (postIdsByOriginalMonthDay, originalMonthDay, post.id) const titleLength = post.title?.length ?? 0 titleLengthByPostId.set (post.id, titleLength) if (/[A-Za-z0-9]/.test (post.title ?? '')) titleAsciiPostIds.add (post.id) }) return { postById, tagKeysByPostId, postIdsByTagKey, titleTermsByPostId, postIdsByTitleTerm, hostByPostId, postIdsByHost, originalYearByPostId, postIdsByOriginalYear, originalMonthByPostId, postIdsByOriginalMonth, originalMonthDayByPostId, postIdsByOriginalMonthDay, titleLengthByPostId, titleAsciiPostIds, titleLengthThresholdCache: new Map> () } } const indexedQuestionTextForTag = (key: string): string => { const [category, ...rest] = key.split (':') const name = rest.join (':') const label = category === 'nico' ? name.replace (/^nico:/, '') : name switch (category) { case 'deerjikist': return `ニジラーとして「${ label }」に関係している?` case 'meme': return `『${ label }』に関係しそう?` case 'character': return `「${ label }」というキャラクターが関係している?` case 'material': return `素材「${ label }」に関係している?` case 'nico': return `ニコニコに「${ label }」というタグがついている?` default: return `「${ label }」が含まれる?` } } const matchingPostIdsForCondition = ({ condition, materialIndex, }: { condition: GekanatorQuestionCondition materialIndex: GekanatorQuestionMaterialIndex }): Set | null => { switch (condition.type) { case 'tag': return materialIndex.postIdsByTagKey.get (condition.key) ?? new Set () case 'source': return materialIndex.postIdsByHost.get (condition.host) ?? new Set () case 'original-year': return materialIndex.postIdsByOriginalYear.get (condition.year) ?? new Set () case 'original-month': return materialIndex.postIdsByOriginalMonth.get (condition.month) ?? new Set () case 'original-month-day': return materialIndex.postIdsByOriginalMonthDay.get (condition.monthDay) ?? new Set () case 'title-has-ascii': return materialIndex.titleAsciiPostIds case 'title-contains': return materialIndex.postIdsByTitleTerm.get (condition.text) ?? new Set () case 'title-length-at-least': case 'title-length-greater-than': { const threshold = titleLengthMinimumForCondition (condition) if (threshold === null) return new Set () const cached = materialIndex.titleLengthThresholdCache.get (threshold) if (cached) return cached const matched = new Set () materialIndex.titleLengthByPostId.forEach ((length, postId) => { if (length >= threshold) matched.add (postId) }) materialIndex.titleLengthThresholdCache.set (threshold, matched) return matched } case 'post-similarity': return null } } type QuestionMatchResolver = { posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex question: GekanatorQuestion dynamicMatchIndex?: GekanatorMatchIndex } const buildGekanatorMatchIndex = ( posts: Post[], questions: GekanatorQuestion[], ): GekanatorMatchIndex => new Map ( questions.map (question => [ question.id, new Set ( posts .filter (post => question.test (post)) .map (post => post.id))])) const matchingPostIdsForQuestion = ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex, }: QuestionMatchResolver): Set => { const byCondition = matchingPostIdsForCondition ({ condition: question.condition, materialIndex }) if (byCondition !== null) return byCondition const matched = matchIndex.get (question.id) ?? dynamicMatchIndex?.get (question.id) if (matched) return matched const computed = new Set ( posts .filter (post => question.test (post)) .map (post => post.id)) dynamicMatchIndex?.set (question.id, computed) return computed } const matchingPostCountInIds = ({ candidateIds, candidateIdSet, posts, materialIndex, matchIndex, question, dynamicMatchIndex, }: { candidateIds: number[] candidateIdSet?: Set posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex question: GekanatorQuestion dynamicMatchIndex?: GekanatorMatchIndex }): number => { const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const ids = candidateIdSet ?? new Set (candidateIds) let count = 0 if (matched.size < ids.size) matched.forEach (postId => { if (ids.has (postId)) ++count }) else ids.forEach (postId => { if (matched.has (postId)) ++count }) return count } const matchingWeightInCandidates = ( { candidates, posts, materialIndex, matchIndex, question, dynamicMatchIndex }: { candidates: { post: Post; weight: number }[] posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex question: GekanatorQuestion dynamicMatchIndex?: GekanatorMatchIndex }, ): number => { const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) return candidates.reduce ((sum, item) => sum + (matched.has (item.post.id) ? item.weight : 0), 0) } const signatureForCandidateIds = ( { candidateIds, posts, materialIndex, matchIndex, question, dynamicMatchIndex, }: { candidateIds: number[] posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex question: GekanatorQuestion dynamicMatchIndex?: GekanatorMatchIndex }, ): string => { const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) return candidateIds.map (postId => matched.has (postId) ? '1' : '0').join ('') } const postIdsForHardAnswer = ( { candidateIds, question, answer, posts, materialIndex, matchIndex, dynamicMatchIndex }: { candidateIds: number[] question: GekanatorQuestion answer: GekanatorAnswerValue posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex dynamicMatchIndex?: GekanatorMatchIndex }, ): number[] => { if (answer === 'unknown' || answer === 'partial' || answer === 'probably_no') return candidateIds if (answer === 'yes') { const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) return candidateIds.filter (postId => matched.has (postId)) } if (answer === 'no') { const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) return candidateIds.filter (postId => !(matched.has (postId))) } return candidateIds } const buildIndexedQuestion = ( { condition, text, kind, priorityWeight, materialIndex }: { condition: Exclude text: string kind: GekanatorQuestionKind priorityWeight: number materialIndex: GekanatorQuestionMaterialIndex }, ): GekanatorQuestion => ({ id: questionIdForCondition (condition), text, kind, condition, source: 'default', priorityWeight, test: post => (matchingPostIdsForCondition ({ condition, materialIndex }) ?? new Set ()).has (post.id) }) const rankedEntriesForCounts = ( { counts, total, cap }: { counts: Map total: number cap: number }, ): [T, number][] => ([...counts.entries ()] .filter (([, count]) => count > 0 && count < total) .sort ((a, b) => Math.abs (total / 2 - a[1]) - Math.abs (total / 2 - b[1])) .slice (0, cap)) const buildQuestionsForCandidateIds = ( { candidateIds, materialIndex, performanceMode, acceptedQuestions }: { candidateIds: number[] materialIndex: GekanatorQuestionMaterialIndex performanceMode: GekanatorPerformanceMode acceptedQuestions: GekanatorQuestion[] }, ): GekanatorQuestion[] => { const total = candidateIds.length if (total === 0) return acceptedQuestions const tagCounts = new Map () const hostCounts = new Map () const yearCounts = new Map () const monthCounts = new Map () const monthDayCounts = new Map () const titleTermCounts = new Map () const titleLengths: number[] = [] let asciiCount = 0 candidateIds.forEach (postId => { materialIndex.tagKeysByPostId.get (postId)?.forEach (key => tagCounts.set (key, (tagCounts.get (key) ?? 0) + 1)) const host = materialIndex.hostByPostId.get (postId) if (host) hostCounts.set (host, (hostCounts.get (host) ?? 0) + 1) const year = materialIndex.originalYearByPostId.get (postId) if (year !== null && year !== undefined) yearCounts.set (year, (yearCounts.get (year) ?? 0) + 1) const month = materialIndex.originalMonthByPostId.get (postId) if (month !== null && month !== undefined) monthCounts.set (month, (monthCounts.get (month) ?? 0) + 1) const monthDay = materialIndex.originalMonthDayByPostId.get (postId) if (monthDay) monthDayCounts.set (monthDay, (monthDayCounts.get (monthDay) ?? 0) + 1) if (performanceMode === 'normal') materialIndex.titleTermsByPostId.get (postId)?.forEach (term => titleTermCounts.set (term, (titleTermCounts.get (term) ?? 0) + 1)) const titleLength = materialIndex.titleLengthByPostId.get (postId) ?? 0 titleLengths.push (titleLength) if (materialIndex.titleAsciiPostIds.has (postId)) ++asciiCount }) const tagCap = performanceMode === 'lite' ? total >= 80 ? 96 : 64 : total >= 120 ? 128 : 96 const titleTermCap = performanceMode === 'lite' ? 0 : total >= 80 ? 10 : total >= 24 ? 14 : 20 const factCap = total >= 80 ? 8 : 12 const sortedLengths = [...titleLengths].sort ((a, b) => a - b) const titleLengthMedian = sortedLengths[Math.floor (sortedLengths.length / 2)] ?? 0 const questions: GekanatorQuestion[] = [] rankedEntriesForCounts ({ counts: hostCounts, total, cap: factCap }) .forEach (([host]) => { questions.push (buildIndexedQuestion ({ condition: { type: 'source', host }, text: `${ host } の投稿を思い浮かべている?`, kind: 'source', priorityWeight: 1, materialIndex })) }) rankedEntriesForCounts ({ counts: yearCounts, total, cap: factCap }) .forEach (([year]) => { questions.push (buildIndexedQuestion ({ condition: { type: 'original-year', year }, text: `オリジナルの投稿年は ${ year } 年?`, kind: 'original_date', priorityWeight: 1, materialIndex })) }) rankedEntriesForCounts ({ counts: monthCounts, total, cap: factCap }) .forEach (([month]) => { questions.push (buildIndexedQuestion ({ condition: { type: 'original-month', month }, text: `オリジナルの投稿月は ${ month } 月?`, kind: 'original_date', priorityWeight: 1, materialIndex })) }) rankedEntriesForCounts ({ counts: monthDayCounts, total, cap: factCap }) .forEach (([monthDay]) => { const [month, day] = String (monthDay).split ('-') questions.push (buildIndexedQuestion ({ condition: { type: 'original-month-day', monthDay: String (monthDay) }, text: `オリジナルの投稿日は ${ month } 月 ${ day } 日?`, kind: 'original_date', priorityWeight: 1, materialIndex })) }) if (titleLengthMedian > 0) questions.push (buildIndexedQuestion ({ condition: { type: 'title-length-at-least', length: titleLengthMedian }, text: `タイトルは ${ titleLengthMedian } 文字以上?`, kind: 'title', priorityWeight: 1, materialIndex })) if (asciiCount > 0 && asciiCount < total) questions.push (buildIndexedQuestion ({ condition: { type: 'title-has-ascii' }, text: '題名に英数字が混じっている?', kind: 'title', priorityWeight: 1, materialIndex })) rankedEntriesForCounts ({ counts: tagCounts, total, cap: tagCap }) .forEach (([key]) => { questions.push (buildIndexedQuestion ({ condition: { type: 'tag', key }, text: indexedQuestionTextForTag (key), kind: 'tag', priorityWeight: 1, materialIndex })) }) if (performanceMode === 'normal') rankedEntriesForCounts ({ counts: titleTermCounts, total, cap: titleTermCap }) .filter (([term]) => String (term).length <= 24) .forEach (([term]) => { questions.push (buildIndexedQuestion ({ condition: { type: 'title-contains', text: String (term) }, text: `題名に「${ term }」が含まれる?`, kind: 'title', priorityWeight: .96, materialIndex })) }) return mergeQuestions ([...questions, ...acceptedQuestions]) } const candidatePostsForState = ({ posts, questionById, materialIndex, matchIndex, answers, softenedQuestionIds, rejectedPostIds, recoveredCandidatePosts, }: { posts: Post[] questionById: Map materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex answers: GekanatorAnswerLog[] softenedQuestionIds: Set rejectedPostIds: Set recoveredCandidatePosts: Map }): Post[] => { const dynamicMatchIndex = new Map> () return posts.filter (post => { if (rejectedPostIds.has (post.id)) return false const answerCountAtRecovery = recoveredCandidatePosts.get (post.id) return answers.every ((answer, index) => { if (answerCountAtRecovery !== undefined && index < answerCountAtRecovery) return true if (softenedQuestionIds.has (answer.questionId)) return true if (!(answer.answer === 'yes' || answer.answer === 'no')) return true const question = questionById.get (answer.questionId) const condition = answer.questionCondition ?? question?.condition if (!(condition)) return true const matched = question ? matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) : matchingPostIdsForCondition ({ condition, materialIndex }) if (matched !== null) return answer.answer === 'yes' ? matched.has (post.id) : !(matched.has (post.id)) if (!(question)) return true const expected = expectedAnswerForQuestion (question, post) return expected === null || expected === 'unknown' || expected === answer.answer }) }) } const hasDiscriminatingHardSplitForQuestion = ({ candidateIds, question, posts, materialIndex, matchIndex, }: { candidateIds: number[] question: GekanatorQuestion | null posts: Post[] materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): boolean => { if (!(question)) return false const dynamicMatchIndex = new Map> () const yesCount = matchingPostCountInIds ({ candidateIds, posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const noCount = candidateIds.length - yesCount return yesCount > 0 && noCount > 0 } const recalculateScores = ({ posts, questions, answers, softenedQuestionIds, materialIndex, matchIndex, }: { posts: Post[] questions: GekanatorQuestion[] answers: GekanatorAnswerLog[] softenedQuestionIds: Set materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): Map => { const questionById = new Map (questions.map (question => [question.id, question])) const nextScores = new Map () const dynamicMatchIndex = new Map> () answers.forEach (answer => { const question = questionById.get (answer.questionId) if (!(question)) return const weight = answerWeightFor (answer.questionId, softenedQuestionIds) const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) posts.forEach (post => { const expected = matched.has (post.id) ? 'yes' : question.condition.type === 'post-similarity' ? expectedAnswerForQuestion (question, post) : 'no' nextScores.set ( post.id, (nextScores.get (post.id) ?? 0) + deltaForExpectedAnswer (expected, answer.answer) * weight) }) }) return nextScores } const confidencesFor = (posts: Post[], scores: Map): Confidence[] => { if (posts.length === 0) return [] const raw = posts.map (post => ({ post, score: scores.get (post.id) ?? 0 })) const maxScore = Math.max (...raw.map (({ score }) => score)) const weighted = raw.map (item => ({ ...item, weight: Math.exp ((item.score - maxScore) / confidenceTemperature) })) const total = weighted.reduce ((sum, item) => sum + item.weight, 0) || 1 return weighted .map (({ post, score, weight }) => ({ post, score, percent: weight / total * 100 })) .sort ((a, b) => b.percent - a.percent) } const entropyFor = (confidences: Confidence[]): number => confidences.reduce ((sum, item) => { const p = item.percent / 100 return p > 0 ? sum - p * Math.log2 (p) : sum }, 0) const effectiveCandidatesFor = (confidences: Confidence[]): number => { const concentration = confidences.reduce ((sum, item) => { const p = item.percent / 100 return sum + p * p }, 0) return concentration > 0 ? 1 / concentration : 0 } const previewAnswer = ({ posts, scores, question, answer, materialIndex, matchIndex, }: { posts: Post[] scores: Map question: GekanatorQuestion answer: GekanatorAnswerValue materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): AnswerPreview => { const postById = new Map (posts.map (post => [post.id, post])) const dynamicMatchIndex = new Map> () const nextPostIds = postIdsForHardAnswer ({ candidateIds: posts.map (post => post.id), question, answer, posts, materialIndex, matchIndex, dynamicMatchIndex }) const nextPosts = nextPostIds .map (postId => postById.get (postId)) .filter ((post): post is Post => post !== undefined) if (nextPosts.length === 0) return { answer, top: null, candidateCount: 0, effectiveCandidates: 0, entropy: 0 } const nextScores = new Map (scores) nextPosts.forEach (post => { const expected = expectedAnswerForQuestion (question, post) nextScores.set ( post.id, (nextScores.get (post.id) ?? 0) + deltaForExpectedAnswer (expected, answer)) }) const confidences = confidencesFor (nextPosts, nextScores) return { answer, top: confidences[0] ?? null, candidateCount: nextPosts.length, effectiveCandidates: effectiveCandidatesFor (confidences), entropy: entropyFor (confidences) } } const mergeQuestions = (questions: GekanatorQuestion[]): GekanatorQuestion[] => { const byId = new Map () questions.forEach (question => { const current = byId.get (question.id) if (shouldReplaceMergedQuestion (current, question)) byId.set (question.id, question) }) return [...byId.values ()] } const softenNextQuestionIds = ({ questions, answers, softenedQuestionIds, }: { questions: GekanatorQuestion[] answers: GekanatorAnswerLog[] softenedQuestionIds: Set }): Set | null => { const questionById = new Map (questions.map (question => [question.id, question])) const candidate = [...answers] .reverse () .map (answer => { const question = questionById.get (answer.questionId) return { answer, question } }) .filter ((item): item is { answer: GekanatorAnswerLog question: GekanatorQuestion } => item.question !== undefined && item.answer.answer !== 'unknown' && !(softenedQuestionIds.has (item.answer.questionId))) .sort ((a, b) => questionDifficulty (b.question) - questionDifficulty (a.question))[0] if (!(candidate)) return null return new Set ([...softenedQuestionIds, candidate.answer.questionId]) } type ExclusiveConditionGroup = | 'original-month' | 'original-year' | 'original-month-day' | 'source' const exclusiveConditionGroupFor = ( condition: GekanatorQuestion['condition'], ): ExclusiveConditionGroup | null => { switch (condition.type) { case 'original-month': return 'original-month' case 'original-year': return 'original-year' case 'original-month-day': return 'original-month-day' case 'source': return 'source' default: return null } } const sameConditionValue = ( left: GekanatorQuestion['condition'], right: GekanatorQuestion['condition'], ): boolean => { const leftTitleLength = titleLengthMinimumForCondition (left) const rightTitleLength = titleLengthMinimumForCondition (right) if (leftTitleLength !== null || rightTitleLength !== null) return leftTitleLength !== null && rightTitleLength !== null && leftTitleLength === rightTitleLength if (left.type !== right.type) return false const valueKeyFor = (condition: GekanatorQuestion['condition']): string => { switch (condition.type) { case 'tag': return condition.key case 'source': return condition.host case 'original-year': return String (condition.year) case 'original-month': return String (condition.month) case 'original-month-day': return condition.monthDay case 'title-has-ascii': return '' case 'title-contains': return condition.text case 'post-similarity': return `${ condition.postId }:${ condition.answer }:${ condition.threshold }` case 'title-length-at-least': case 'title-length-greater-than': return String (titleLengthMinimumForCondition (condition) ?? '') } } return valueKeyFor (left) === valueKeyFor (right) } const isMonthCrossMatch = ( candidate: GekanatorQuestion['condition'], previous: GekanatorQuestion['condition'], ): boolean => { const candidateMonth = monthForCondition (candidate) const previousMonth = monthForCondition (previous) if (candidateMonth === null || previousMonth === null) return false const sameType = candidate.type === previous.type if (sameType) return false return candidateMonth === previousMonth } const isExclusiveContradiction = ( candidate: GekanatorQuestion['condition'], previous: GekanatorQuestion['condition'], ): boolean => { const candidateGroup = exclusiveConditionGroupFor (candidate) const previousGroup = exclusiveConditionGroupFor (previous) if (candidateGroup !== null && candidateGroup === previousGroup) return !(sameConditionValue (candidate, previous)) const candidateMonth = monthForCondition (candidate) const previousMonth = monthForCondition (previous) if (candidateMonth !== null && previousMonth !== null) return candidateMonth !== previousMonth return false } const contradictionPenaltyFor = ({ question, answers, }: { question: GekanatorQuestion answers: GekanatorAnswerLog[] }): number => { return answers.reduce ((sum, answer) => { const previous = answer.questionCondition if (!(previous)) return sum switch (answer.answer) { case 'yes': return sum + (isExclusiveContradiction (question.condition, previous) ? 100 : 0) case 'partial': return sum + (isExclusiveContradiction (question.condition, previous) ? 25 : 0) case 'no': return sum + ( sameConditionValue (question.condition, previous) || isMonthCrossMatch (question.condition, previous) ? 40 : 0) case 'probably_no': return sum + ( sameConditionValue (question.condition, previous) || isMonthCrossMatch (question.condition, previous) ? 20 : 0) default: return sum } }, 0) } const chooseQuestion = ({ posts, questions, scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex, }: { posts: Post[] questions: GekanatorQuestion[] scores: Map answers: GekanatorAnswerLog[] askedIds: Set gameSeed: string recentFirstQuestionPenaltyById: Map userPriorWeights: Map performanceMode: GekanatorPerformanceMode materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): GekanatorQuestion | null => { const candidateIds = posts.map (post => post.id) const candidateIdSet = new Set (candidateIds) const dynamicMatchIndex = new Map> () const invertedSignature = (signature: string): string => signature.replace (/[01]/g, value => value === '1' ? '0' : '1') const redundantSignatures = ( candidates: Post[], ): Set => { const signatures = new Set () questions .filter (question => askedIds.has (question.id)) .forEach (question => { const signature = signatureForCandidateIds ({ candidateIds: candidates.map (post => post.id), posts, materialIndex, matchIndex, question, dynamicMatchIndex }) signatures.add (signature) signatures.add (invertedSignature (signature)) }) return signatures } if (performanceMode === 'lite') { const nonTagCount = questions.filter (question => askedIds.has (question.id) && question.kind !== 'tag').length const ranked = questions .filter (question => !(askedIds.has (question.id))) .map (question => { if (isQuestionHardFilteredAfterAnswers (question, answers)) return null const yes = matchingPostCountInIds ({ candidateIds, candidateIdSet, posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const no = posts.length - yes if (yes === 0 || no === 0) return null const splitScore = Math.abs (posts.length / 2 - yes) / posts.length const minSide = posts.length < 10 ? 1 : Math.max (2, Math.floor (posts.length * .08)) const narrowPenalty = yes < minSide || no < minSide ? .18 : 0 const tagPenalty = question.kind === 'tag' && nonTagCount < 3 ? .1 : 0 const contradictionPenalty = contradictionPenaltyFor ({ question, answers }) const sourceBonus = sourcePriorityOffset (question) const priorityBonus = priorityWeightOffset (question) const categoryPenalty = questionCategoryPenalty (question, answers.length, 0) return { question, score: splitScore * 100 + narrowPenalty + tagPenalty + contradictionPenalty + sourceBonus + priorityBonus + categoryPenalty, narrow: narrowPenalty > 0 } }) .filter ((item): item is { question: GekanatorQuestion score: number narrow: boolean } => item !== null && Number.isFinite (item.score)) .sort ((a, b) => { if (a.score !== b.score) return a.score - b.score return a.question.id.localeCompare (b.question.id) }) const pool = ( ranked.some (item => !(item.narrow)) ? ranked.filter (item => !(item.narrow)) : ranked) .slice (0, 8) if (pool.length === 0) return null const bestScore = pool[0]?.score ?? 0 const weightedPool = pool.map (item => ({ ...item, weight: Math.exp ((bestScore - item.score) / 1.6) })) const totalPoolWeight = weightedPool.reduce ((sum, item) => sum + item.weight, 0) || 1 const seed = `${ gameSeed }:lite:${ [...askedIds].sort ().join ('|') }:${ weightedPool.map (item => `${ item.question.id }:${ item.score.toFixed (4) }`).join ('|') }` const target = deterministicUnitFloat (seed) * totalPoolWeight let cumulative = 0 for (const item of weightedPool) { cumulative += item.weight if (target <= cumulative) return item.question } return weightedPool[weightedPool.length - 1]?.question ?? null } const scoredPosts = posts .map (post => ({ post, score: scores.get (post.id) ?? 0 })) .sort ((a, b) => b.score - a.score) const maxScore = scoredPosts[0]?.score ?? 0 const weightedPosts = scoredPosts.map (item => ({ ...item, weight: Math.exp ((item.score - maxScore) / confidenceTemperature) })) const totalWeight = weightedPosts.reduce ((sum, item) => sum + item.weight, 0) || 1 const normalisedWeightedPosts = weightedPosts.map (item => ({ ...item, weight: item.weight / totalWeight })) const weightedEntropy = distributionEntropy ( normalisedWeightedPosts.map (item => item.weight)) const rank = ( questionsToRank: GekanatorQuestion[], candidates: { post: Post; score: number }[], weightedCandidates: { post: Post; score: number; weight: number }[], ) => { const redundant = redundantSignatures (candidates.map (item => item.post)) const candidateById = new Map (candidates.map (item => [item.post.id, item.post])) const candidateIds = candidates.map (item => item.post.id) const candidateIdSet = new Set (candidateIds) const priorEntries = [...userPriorWeights.entries ()] .filter (([postId]) => candidateById.has (postId)) const priorWeightTotal = priorEntries.reduce ((sum, [, weight]) => sum + weight, 0) const nonTagCount = questions.filter (question => askedIds.has (question.id) && question.kind !== 'tag').length return questionsToRank .map (question => { if (isQuestionHardFilteredAfterAnswers (question, answers)) return null const signature = signatureForCandidateIds ({ candidateIds, posts, materialIndex, matchIndex, question, dynamicMatchIndex }) if (redundant.has (signature)) return null const yes = matchingPostCountInIds ({ candidateIds, candidateIdSet, posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const no = candidates.length - yes if (yes === 0 || no === 0) return null const yesWeight = matchingWeightInCandidates ({ candidates: weightedCandidates.map (item => ({ post: item.post, weight: item.weight })), posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const noWeight = 1 - yesWeight if (yesWeight <= 0 || noWeight <= 0) return null if (Math.min (yesWeight, noWeight) < .08) return null const matched = matchingPostIdsForQuestion ({ posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const yesPosteriorWeights = weightedCandidates .filter (item => matched.has (item.post.id)) .map (item => item.weight / yesWeight) const noPosteriorWeights = weightedCandidates .filter (item => !(matched.has (item.post.id))) .map (item => item.weight / noWeight) const infoGain = weightedEntropy - ( yesWeight * distributionEntropy (yesPosteriorWeights) + noWeight * distributionEntropy (noPosteriorWeights)) if (infoGain < (candidates.length >= 10 ? .02 : .008)) return null const weightedSplitScore = Math.abs (.5 - yesWeight) const unweightedSplitScore = Math.abs (candidates.length / 2 - yes) / candidates.length const tagPenalty = question.kind === 'tag' && nonTagCount < 4 ? .12 : 0 const minSide = candidates.length < 10 ? 1 : Math.max (3, candidates.length * .08) const narrowPenalty = yes < minSide || no < minSide ? .15 : 0 const contradictionPenalty = contradictionPenaltyFor ({ question, answers }) const sourceBonus = sourcePriorityOffset (question) const priorityBonus = priorityWeightOffset (question) const repeatPenalty = answers.length === 0 ? (recentFirstQuestionPenaltyById.get (question.id) ?? 0) * 4.5 : 0 const categoryPenalty = questionCategoryPenalty ( question, answers.length, repeatPenalty) const priorSplitScore = priorWeightTotal <= 0 ? null : Math.abs ( .5 - ( priorEntries.reduce ( (sum, [postId, weight]) => { return sum + (matched.has (postId) ? weight : 0) }, 0) / priorWeightTotal)) const priorBonus = priorSplitScore === null ? 0 : Math.max (0, .22 - priorSplitScore) * -18 const infoGainBonus = -Math.min (1.2, infoGain) * 4 return { question, score: weightedSplitScore * 100 + unweightedSplitScore * 8 + tagPenalty + narrowPenalty + contradictionPenalty + sourceBonus + priorityBonus + categoryPenalty + priorBonus + infoGainBonus, narrow: narrowPenalty > 0 } }) .filter ((item): item is { question: GekanatorQuestion score: number narrow: boolean } => item !== null && Number.isFinite (item.score)) .sort ((a, b) => a.score - b.score) } const unansweredQuestions = questions.filter (question => !(askedIds.has (question.id))) const ranked = rank (unansweredQuestions, scoredPosts, normalisedWeightedPosts) const pool = ( ranked.some (item => !(item.narrow)) ? ranked.filter (item => !(item.narrow)) : ranked) .slice (0, 16) if (pool.length === 0) return null const bestScore = pool[0]?.score ?? 0 const weightedPool = pool.map (item => ({ ...item, weight: Math.exp ((bestScore - item.score) / (answers.length === 0 ? 2.8 : 2.1)) })) const totalPoolWeight = weightedPool.reduce ((sum, item) => sum + item.weight, 0) || 1 const seed = `${ gameSeed }:${ [...askedIds].sort ().join ('|') }:${ weightedPool.map (item => `${ item.question.id }:${ item.score.toFixed (4) }`).join ('|') }` const target = deterministicUnitFloat (seed) * totalPoolWeight let cumulative = 0 for (const item of weightedPool) { cumulative += item.weight if (target <= cumulative) return item.question } return weightedPool[weightedPool.length - 1]?.question ?? null } const directWinningRunExampleAnswerFor = ( question: GekanatorQuestion, targetPost: Post, ): GekanatorAnswerValue | null => question.kind !== 'post_similarity' ? null : question.exampleAnswers?.[String (targetPost.id) as `${ number }`] ?? null const winningRunTagText = ( category: string, name: string, ): string => { switch (category) { case 'nico': return `ニコニコに「${ name.replace (/^nico:/, '') }」タグがついている?` default: return `「${ name }」タグがついている?` } } const winningRunHostOf = (post: Post): string | null => { try { return new URL (post.url).hostname.replace (/^www\./, '') } catch { return null } } const winningRunOriginalDateOf = (post: Post): Date | null => { const value = post.originalCreatedFrom || post.originalCreatedBefore if (!(value)) return null const date = new Date (value) return Number.isNaN (date.getTime ()) ? null : date } const winningRunCandidateQuestionsFor = (targetPost: Post): GekanatorQuestion[] => { const questions: GekanatorQuestion[] = [] const addQuestion = (question: GekanatorQuestion | null) => { if (question) questions.push (question) } const title = targetPost.title ?? '' const titleWords = Array.from ( new Set ( title.match ( /[\p{Script=Han}\p{Script=Hiragana}\p{Script=Katakana}A-Za-z0-9]{2,}/gu) ?? [])) .filter (word => word.length <= 24) .slice (0, 8) const host = winningRunHostOf (targetPost) const originalDate = winningRunOriginalDateOf (targetPost) const originalYear = originalDate?.getFullYear () ?? null const originalMonth = originalDate?.getMonth () ?? null const originalDay = originalDate?.getDate () ?? null const monthDay = originalMonth === null || originalDay === null ? null : `${ originalMonth + 1 }-${ originalDay }` const titleLength = title.length addQuestion ( host === null ? null : { id: questionIdForCondition ({ type: 'source', host }), text: `${ host } の投稿を思い浮かべている?`, kind: 'source', condition: { type: 'source', host }, source: 'default', priorityWeight: 1.1, test: post => winningRunHostOf (post) === host }) addQuestion ( originalYear === null ? null : { id: questionIdForCondition ({ type: 'original-year', year: originalYear }), text: `オリジナルの投稿年は ${ originalYear } 年?`, kind: 'original_date', condition: { type: 'original-year', year: originalYear }, source: 'default', priorityWeight: 1.05, test: post => winningRunOriginalDateOf (post)?.getFullYear () === originalYear }) addQuestion ( originalMonth === null ? null : { id: questionIdForCondition ({ type: 'original-month', month: originalMonth + 1 }), text: `オリジナルの投稿月は ${ originalMonth + 1 } 月?`, kind: 'original_date', condition: { type: 'original-month', month: originalMonth + 1 }, source: 'default', priorityWeight: 1.02, test: post => winningRunOriginalDateOf (post)?.getMonth () === originalMonth }) addQuestion ( monthDay === null ? null : { id: questionIdForCondition ({ type: 'original-month-day', monthDay }), text: `オリジナルの投稿日は ${ originalMonth! + 1 } 月 ${ originalDay! } 日?`, kind: 'original_date', condition: { type: 'original-month-day', monthDay }, source: 'default', priorityWeight: .98, test: post => { const postDate = winningRunOriginalDateOf (post) return postDate !== null && `${ postDate.getMonth () + 1 }-${ postDate.getDate () }` === monthDay } }) const winningRunTitleLengths = [ Math.max (1, titleLength - 4), titleLength, titleLength + 4] .filter ((length: number, index: number, values: number[]) => titleLength > 0 && length > 0 && values.indexOf (length) === index) winningRunTitleLengths.forEach ((length: number, index: number) => { addQuestion ({ id: questionIdForCondition ({ type: 'title-length-at-least', length }), text: `タイトルは ${ length } 文字以上?`, kind: 'title', condition: { type: 'title-length-at-least', length }, source: 'default', priorityWeight: index === 1 ? 1.08 : 1.01, test: post => (post.title?.length ?? 0) >= length }) }) addQuestion ({ id: questionIdForCondition ({ type: 'title-has-ascii' }), text: '題名に英数字が混じっている?', kind: 'title', condition: { type: 'title-has-ascii' }, source: 'default', priorityWeight: .96, test: post => /[A-Za-z0-9]/.test (post.title ?? '') }) titleWords.forEach (word => { addQuestion ({ id: questionIdForCondition ({ type: 'title-contains', text: word }), text: `題名に「${ word }」が含まれる?`, kind: 'title', condition: { type: 'title-contains', text: word }, source: 'default', priorityWeight: 1.07, test: post => (post.title ?? '').includes (word) }) }) targetPost.tags .filter (tag => tag.category !== 'meta' && !(tag.name.includes ('タグ希望')) && !(tag.name.includes ('bot操作'))) .slice (0, 20) .forEach (tag => { addQuestion ({ id: questionIdForCondition ({ type: 'tag', key: `${ tag.category }:${ tag.name }` }), text: winningRunTagText (tag.category, tag.name), kind: 'tag', condition: { type: 'tag', key: `${ tag.category }:${ tag.name }` }, source: 'default', priorityWeight: 1.12, test: post => post.tags.some (candidate => candidate.category === tag.category && candidate.name === tag.name && candidate.category !== 'meta' && !(candidate.name.includes ('タグ希望')) && !(candidate.name.includes ('bot操作'))) }) }) void ([ { answer: 'yes' as const, threshold: .9, text: 'その投稿そのものと言ってよさそう?' }, { answer: 'partial' as const, threshold: .6, text: 'かなり近いイメージ?' }, { answer: 'no' as const, threshold: .25, text: '少し違う印象もある?' }]).forEach ((item, index) => { addQuestion ({ id: `winning-run:post-similarity:${ targetPost.id }:${ item.answer }:${ item.threshold }`, text: item.text, kind: 'post_similarity', condition: { type: 'post-similarity', postId: targetPost.id, answer: item.answer, threshold: item.threshold }, source: 'default', priorityWeight: 1 - index * .04, exampleAnswers: { [String (targetPost.id) as `${ number }`]: item.answer }, test: post => post.id === targetPost.id }) }) return questions } const winningRunPriorityFor = ( question: GekanatorQuestion, expected: GekanatorAnswerValue, targetPost: Post, ): number | null => { if (question.kind === 'post_similarity') { const directAnswer = directWinningRunExampleAnswerFor (question, targetPost) if (directAnswer === null) return null } if (expected === 'yes') return 0 if (expected === 'partial') return 1 if (expected === 'no' || expected === 'probably_no') return 2 return null } const chooseWinningRunQuestion = ({ posts, targetPost, answers, askedIds, materialIndex, matchIndex, }: { posts: Post[] targetPost: Post answers: GekanatorAnswerLog[] askedIds: Set materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): GekanatorQuestion | null => { const dynamicMatchIndex = new Map> () const ranked = mergeQuestions (winningRunCandidateQuestionsFor (targetPost)) .filter (question => { if (askedIds.has (question.id)) return false if (isQuestionHardFilteredAfterAnswers (question, answers)) return false const expected = expectedAnswerForQuestion (question, targetPost) return expected !== null && expected !== 'unknown' }) .map (question => { const expected = expectedAnswerForQuestion (question, targetPost) const priority = expected === null ? null : winningRunPriorityFor (question, expected, targetPost) if (priority === null) return null const yesCount = matchingPostCountInIds ({ candidateIds: posts.map (post => post.id), posts, materialIndex, matchIndex, question, dynamicMatchIndex }) const matchingCount = expected === 'yes' || expected === 'partial' ? yesCount : posts.length - yesCount return { question, priority, matchingCount } }) .filter ((item): item is { question: GekanatorQuestion priority: number matchingCount: number } => item !== null) .sort ((a, b) => { if (a.priority !== b.priority) return a.priority - b.priority if (a.question.priorityWeight !== b.question.priorityWeight) return b.question.priorityWeight - a.question.priorityWeight if (a.matchingCount !== b.matchingCount) return a.matchingCount - b.matchingCount return a.question.id.localeCompare (b.question.id) }) if (ranked.length > 0) return ranked[0]?.question ?? null return null } const chooseFallbackQuestion = ({ posts, allPosts, questions, answers, askedIds, scores, materialIndex, matchIndex, }: { posts: Post[] allPosts: Post[] questions: GekanatorQuestion[] answers: GekanatorAnswerLog[] askedIds: Set scores: Map materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex }): GekanatorQuestion | null => { if (posts.length === 0) return null const fallbackPosts = posts .map (post => ({ post, score: scores.get (post.id) ?? 0 })) .sort ((a, b) => b.score - a.score) .slice (0, Math.min (6, posts.length)) .map (item => item.post) const fallbackQuestions = mergeQuestions ( fallbackPosts.flatMap (post => winningRunCandidateQuestionsFor (post))) .slice (0, 32) const dynamicMatchIndex = new Map> () const candidateIds = posts.map (post => post.id) const ranked = mergeQuestions ([ ...questions, ...fallbackQuestions]) .filter (question => !(askedIds.has (question.id)) && !(isQuestionHardFilteredAfterAnswers (question, answers))) .map (question => { const yesCount = matchingPostCountInIds ({ candidateIds, posts: allPosts, materialIndex, matchIndex, question, dynamicMatchIndex }) const noCount = candidateIds.length - yesCount if (yesCount === 0 || noCount === 0) return null return { question, knownCount: candidateIds.length, balance: Math.abs (yesCount - noCount) } }) .filter ((item): item is { question: GekanatorQuestion knownCount: number balance: number } => item !== null) .sort ((a, b) => { if (a.balance !== b.balance) return a.balance - b.balance if (a.knownCount !== b.knownCount) return b.knownCount - a.knownCount if (a.question.priorityWeight !== b.question.priorityWeight) return b.question.priorityWeight - a.question.priorityWeight return a.question.id.localeCompare (b.question.id) }) return ranked[0]?.question ?? null } const shouldEnterGuessPhase = ( reason: GuessReason | null, ): reason is 'hard_max_questions' | 'winning_run_finished' | 'question_count_checkpoint' => (reason === 'hard_max_questions' || reason === 'winning_run_finished' || reason === 'question_count_checkpoint') const isWinningRunActive = ( winningRunTargetId: number | null, winningRunStartAnswerCount: number | null, ): boolean => winningRunTargetId !== null && winningRunStartAnswerCount !== null const winningRunQuestionCount = ( answers: GekanatorAnswerLog[], winningRunStartAnswerCount: number | null, ): number => winningRunStartAnswerCount === null ? 0 : answers .slice (winningRunStartAnswerCount) .filter (answer => answer.questionMode === 'winning_run') .length const nextQuestionPlanFor = ( { posts, eligiblePosts, availablePosts, acceptedQuestions, scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount }: { posts: Post[] eligiblePosts: Post[] availablePosts: Post[] acceptedQuestions: GekanatorQuestion[] scores: Map answers: GekanatorAnswerLog[] askedIds: Set gameSeed: string recentFirstQuestionPenaltyById: Map userPriorWeights: Map performanceMode: GekanatorPerformanceMode materialIndex: GekanatorQuestionMaterialIndex matchIndex: GekanatorMatchIndex lastGuessQuestionCount: number winningRunTargetId: number | null winningRunStartAnswerCount: number | null }, ): { question: GekanatorQuestion | null guess: Post | null guessReason: GuessReason | null questionMode: QuestionMode winningRunTargetId: number | null winningRunStartAnswerCount: number | null } => { const guessablePosts = eligiblePosts.length > 0 ? eligiblePosts : availablePosts const checkpointGuess = answers.length > 0 && answers.length - lastGuessQuestionCount >= minQuestionsBeforeCertainGuess if (answers.length >= hardMaxQuestions) { return { question: null, guess: bestPost (guessablePosts, scores), guessReason: 'hard_max_questions', questionMode: null, winningRunTargetId, winningRunStartAnswerCount } } if (checkpointGuess) { return { question: null, guess: bestPost (guessablePosts, scores), guessReason: 'question_count_checkpoint', questionMode: null, winningRunTargetId, winningRunStartAnswerCount } } const nextWinningRunTargetId = eligiblePosts.length === 1 ? eligiblePosts[0]?.id ?? null : null const nextWinningRunStartAnswerCount = nextWinningRunTargetId === null ? null : ((isWinningRunActive (winningRunTargetId, winningRunStartAnswerCount) && winningRunTargetId === nextWinningRunTargetId && winningRunStartAnswerCount !== null) ? winningRunStartAnswerCount : answers.length) const nextWinningRunTargetPost = nextWinningRunTargetId === null ? null : posts.find (post => post.id === nextWinningRunTargetId) ?? null const buildQuestionsForPosts = (scopePosts: Post[]): GekanatorQuestion[] => buildQuestionsForCandidateIds ({ candidateIds: scopePosts.map (post => post.id), materialIndex, performanceMode, acceptedQuestions }) if (eligiblePosts.length === 1) { const winningRunFinished = nextWinningRunTargetId !== null && nextWinningRunStartAnswerCount !== null && eligiblePosts[0]?.id === nextWinningRunTargetId && winningRunQuestionCount ( answers, nextWinningRunStartAnswerCount) >= winningRunQuestionLimit if (winningRunFinished) return { question: null, guess: bestPost (eligiblePosts, scores), guessReason: 'winning_run_finished', questionMode: null, winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } if (!(nextWinningRunTargetPost) || nextWinningRunStartAnswerCount === null) return { question: null, guess: null, guessReason: null, questionMode: null, winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } const winningRunQuestion = chooseWinningRunQuestion ({ posts, targetPost: nextWinningRunTargetPost, answers, askedIds, materialIndex, matchIndex }) if (winningRunQuestion) return { question: winningRunQuestion, guess: null, guessReason: null, questionMode: 'winning_run', winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } return { question: null, guess: null, guessReason: null, questionMode: null, winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } } const evaluationPosts = eligiblePosts const evaluationQuestions = buildQuestionsForPosts (evaluationPosts) const normalQuestion = chooseQuestion ({ posts: evaluationPosts, questions: evaluationQuestions, scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex }) const fallbackQuestion = normalQuestion ?? chooseFallbackQuestion ({ posts: evaluationPosts, allPosts: posts, questions: evaluationQuestions, answers, askedIds, scores, materialIndex, matchIndex }) if (fallbackQuestion) { return { question: fallbackQuestion, guess: null, guessReason: null, questionMode: 'normal', winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } } return { question: null, guess: null, guessReason: null, questionMode: null, winningRunTargetId: nextWinningRunTargetId, winningRunStartAnswerCount: nextWinningRunStartAnswerCount } } const bestPost = (posts: Post[], scores: Map): Post | null => posts .map (post => ({ post, score: scores.get (post.id) ?? 0 })) .sort ((a, b) => b.score - a.score)[0]?.post ?? null const PostMiniCard: FC<{ post: Post }> = ({ post }) => (
{post.title
#{post.id} {post.title || post.url}
{post.tags.slice (0, 6).map (tag => tag.name).join (' / ')}
) const backgroundThumbnailUrl = (post: Post): string | undefined => post.thumbnail || post.thumbnailBase || undefined const mascotStateFor = ( phase: Phase, resultWon: boolean | null, eligiblePostCount: number, bestConfidencePercent: number, winningRunActive: boolean, ): MascotState => { const resultPhase = phase === 'end' || phase === 'review' || phase === 'learned' if (resultPhase && !(resultWon)) return 'failed' if (resultPhase && resultWon) return 'celebrate' switch (phase) { case 'question': case 'continue': case 'extra_questions': case 'question_suggestion': if ( winningRunActive || eligiblePostCount <= 2 || bestConfidencePercent >= 70 ) return 'thinking_near' if ( eligiblePostCount >= 15 && bestConfidencePercent < 45 ) return 'thinking_far' return 'thinking_mid' case 'guess': case 'end': case 'review': case 'learned': return 'confident' default: return 'idle' } } const backgroundPostsFor = ({ phase, eligiblePosts, availablePosts, displayedGuess, reviewCorrectPost, reviewGuessedPost, }: { phase: Phase eligiblePosts: Post[] availablePosts: Post[] displayedGuess: Post | null reviewCorrectPost: Post | null reviewGuessedPost: Post | null }): Post[] => { const focusPosts = phase === 'end' || phase === 'review' || phase === 'learned' ? [reviewCorrectPost, reviewGuessedPost].filter ((post): post is Post => post !== null) : phase === 'guess' ? [displayedGuess, ...eligiblePosts].filter ((post): post is Post => post !== null) : eligiblePosts.length > 0 ? eligiblePosts : availablePosts return [...new Map (focusPosts.map (post => [post.id, post])).values ()] } const GekanatorBackdrop: FC<{ posts: Post[] mascotAsset: string phase: Phase displayedGuess?: Post | null visualSeed: string motionMode: BackgroundMotionMode winningRunTargetPost?: Post | null winningRunQuestionCount?: number }> = ({ posts, mascotAsset, phase, displayedGuess = null, visualSeed, motionMode, winningRunTargetPost = null, winningRunQuestionCount = 0 }) => { const guessFocusOffset = useMemo (() => { const focusTiles = [ { x: 'calc(max(100vw, 100vh) * 0.5)', y: 'calc(max(100vw, 100vh) * 0.5)' }, { x: 'calc(max(100vw, 100vh) * -0.5)', y: 'calc(max(100vw, 100vh) * 0.5)' }, { x: 'calc(max(100vw, 100vh) * 0.5)', y: 'calc(max(100vw, 100vh) * -0.5)' }, { x: 'calc(max(100vw, 100vh) * -0.5)', y: 'calc(max(100vw, 100vh) * -0.5)' }] return (focusTiles[Math.abs (hashString (`${ visualSeed }:guess-focus`)) % focusTiles.length] ?? focusTiles[0]) }, [visualSeed]) const directions = useMemo ( () => [ { x: 0, y: -33.333333 }, { x: 33.333333, y: -33.333333 }, { x: 33.333333, y: 0 }, { x: 33.333333, y: 33.333333 }, { x: 0, y: 33.333333 }, { x: -33.333333, y: 33.333333 }, { x: -33.333333, y: 0 }, { x: -33.333333, y: -33.333333 }], []) const guessThumbnail = phase === 'guess' && displayedGuess ? backgroundThumbnailUrl (displayedGuess) : null const isWinningRunBackdrop = !(guessThumbnail) && phase === 'question' && winningRunTargetPost !== null && Boolean (backgroundThumbnailUrl (winningRunTargetPost)) const backdropMode = guessThumbnail ? 'guess' : isWinningRunBackdrop ? 'winning_run' : 'normal' const normalVisiblePosts = useMemo ( () => posts .filter (post => Boolean (backgroundThumbnailUrl (post))) .sort ((left, right) => hashString (`${ visualSeed }:${ left.id }`) - hashString (`${ visualSeed }:${ right.id }`)) .slice (0, motionMode === 'calm' ? 24 : 36), [posts, visualSeed, motionMode]) const settingsForMode = useCallback ( ( mode: 'normal' | 'winning_run' | 'guess', ): { columns: number; rows: number; opacity: number } => { if (mode === 'winning_run' || mode === 'guess') return { columns: 8, rows: 8, opacity: motionMode === 'calm' ? .18 : .24 } return motionMode === 'calm' ? { columns: 7, rows: 7, opacity: .14 } : { columns: 10, rows: 10, opacity: .2 } }, [motionMode]) const scaleForMode = useCallback ( ( mode: 'normal' | 'winning_run' | 'guess', displayedWinningCount: number, ): number => { if (mode === 'guess') return 8 if (mode === 'winning_run') return [1, 8 / 6, 8 / 4, 8 / 2][Math.max (0, Math.min (3, displayedWinningCount))] ?? 1 return 1 }, []) const postsForMode = useCallback (( mode: 'normal' | 'winning_run' | 'guess', ): Post[] => { if (mode === 'guess' && displayedGuess) return [displayedGuess] if (mode === 'winning_run' && winningRunTargetPost) return [winningRunTargetPost] return normalVisiblePosts }, [displayedGuess, winningRunTargetPost, normalVisiblePosts]) const thumbnailsForMode = useCallback (( mode: 'normal' | 'winning_run' | 'guess', count: number, ): string[] => { const modePosts = postsForMode (mode) if (modePosts.length === 0) return [] return Array.from ({ length: count }, (_, index) => { const post = modePosts[index % modePosts.length] return backgroundThumbnailUrl (post) ?? null }).filter ((thumbnail): thumbnail is string => Boolean (thumbnail)) }, [postsForMode]) const targetSettings = settingsForMode (backdropMode) const targetTileCount = targetSettings.columns * targetSettings.rows const nextThumbnails = useMemo ( () => thumbnailsForMode (backdropMode, targetTileCount), [backdropMode, targetTileCount, thumbnailsForMode]) const nextDirection = useMemo ( () => directions[ Math.abs (hashString (`${ visualSeed }:direction`)) % directions.length] ?? directions[0], [visualSeed, directions]) const marqueeDuration = backdropMode === 'winning_run' ? motionMode === 'calm' ? 28 : 20 : motionMode === 'calm' ? 34 : 24 const tileFlipDuration = motionMode === 'calm' ? .6 : .45 const x = useMotionValue (0) const y = useMotionValue (0) const marqueeTransform = useMotionTemplate`translate(${ x }%, ${ y }%)` const [activeDirection, setActiveDirection] = useState (nextDirection) const activeDirectionRef = useRef (activeDirection) const flipTimerRef = useRef (null) const [displayedBackdropMode, setDisplayedBackdropMode] = useState<'normal' | 'winning_run' | 'guess'> (backdropMode) const [displayedWinningRunCount, setDisplayedWinningRunCount] = useState (winningRunQuestionCount) const [displayedThumbnails, setDisplayedThumbnails] = useState ( nextThumbnails) const [fromThumbnails, setFromThumbnails] = useState ( nextThumbnails) const [toThumbnails, setToThumbnails] = useState ( nextThumbnails) const [flipVisualSeed, setFlipVisualSeed] = useState (visualSeed) const [isFlippingTiles, setIsFlippingTiles] = useState (false) const renderedSettings = settingsForMode (displayedBackdropMode) const renderedTileCount = renderedSettings.columns * renderedSettings.rows const renderedScale = scaleForMode (displayedBackdropMode, displayedWinningRunCount) const isGuessPresentation = backdropMode === 'guess' || displayedBackdropMode === 'guess' useEffect (() => { if (motionMode === 'off') return if (!(isGuessPresentation)) return const duration = motionMode === 'calm' ? .95 : .75 const ease = [0.16, 1, 0.3, 1] as const const controls = [ animate (x, 0, { duration, ease }), animate (y, 0, { duration, ease })] return () => { controls.forEach (control => control.stop ()) } }, [isGuessPresentation, motionMode, visualSeed, x, y]) useEffect (() => { activeDirectionRef.current = activeDirection }, [activeDirection]) useEffect (() => { const wrap = (value: number): number => { const cell = 33.333333 const wrapped = ((value % cell) + cell) % cell return wrapped > cell / 2 ? wrapped - cell : wrapped } if (motionMode === 'off' || nextThumbnails.length === 0) { x.set (0) y.set (0) return } if (isGuessPresentation) return const speed = 33.333333 / marqueeDuration let animationFrame: number let previousTime = performance.now () const tick = (time: number) => { const elapsedSeconds = (time - previousTime) / 1000 previousTime = time const direction = activeDirectionRef.current x.set (wrap (x.get () + Math.sign (direction.x) * speed * elapsedSeconds)) y.set (wrap (y.get () + Math.sign (direction.y) * speed * elapsedSeconds)) animationFrame = window.requestAnimationFrame (tick) } animationFrame = window.requestAnimationFrame (tick) return () => window.cancelAnimationFrame (animationFrame) }, [ x, y, marqueeDuration, motionMode, isGuessPresentation, nextThumbnails.length]) useEffect (() => { const applyDirection = () => { activeDirectionRef.current = nextDirection setActiveDirection (nextDirection) } if (flipTimerRef.current !== null) { window.clearTimeout (flipTimerRef.current) flipTimerRef.current = null } if (motionMode === 'off') { applyDirection () setIsFlippingTiles (false) setFlipVisualSeed (visualSeed) return } if (backdropMode === 'guess' && guessThumbnail) { setIsFlippingTiles (false) setDisplayedBackdropMode ('guess') setDisplayedWinningRunCount (winningRunQuestionCount) setDisplayedThumbnails (nextThumbnails) setFromThumbnails (nextThumbnails) setToThumbnails (nextThumbnails) setFlipVisualSeed (visualSeed) return } if ( displayedBackdropMode === 'winning_run' && backdropMode === 'winning_run' ) { applyDirection () setDisplayedBackdropMode ('winning_run') setDisplayedWinningRunCount (winningRunQuestionCount) setDisplayedThumbnails (nextThumbnails) setFromThumbnails (nextThumbnails) setToThumbnails (nextThumbnails) setIsFlippingTiles (false) setFlipVisualSeed (visualSeed) return } if (nextThumbnails.length === 0) { applyDirection () setIsFlippingTiles (false) setFlipVisualSeed (visualSeed) return } const sameTiles = displayedThumbnails.length === nextThumbnails.length && displayedThumbnails.every ( (thumbnail, index) => thumbnail === nextThumbnails[index]) if (sameTiles && flipVisualSeed === visualSeed) { if ( activeDirection.x !== nextDirection.x || activeDirection.y !== nextDirection.y ) applyDirection () return } const currentThumbnails = displayedThumbnails.length > 0 ? displayedThumbnails : nextThumbnails setFromThumbnails (currentThumbnails) setToThumbnails (nextThumbnails) setIsFlippingTiles (true) flipTimerRef.current = window.setTimeout (() => { setDisplayedBackdropMode (backdropMode) setDisplayedWinningRunCount (winningRunQuestionCount) setDisplayedThumbnails (nextThumbnails) setFromThumbnails (nextThumbnails) setToThumbnails (nextThumbnails) setIsFlippingTiles (false) applyDirection () setFlipVisualSeed (visualSeed) flipTimerRef.current = null }, tileFlipDuration * 1000) return () => { if (flipTimerRef.current !== null) { window.clearTimeout (flipTimerRef.current) flipTimerRef.current = null } } }, [ motionMode, backdropMode, displayedBackdropMode, guessThumbnail, nextThumbnails, nextDirection, displayedThumbnails, flipVisualSeed, visualSeed, activeDirection, winningRunQuestionCount, tileFlipDuration, x, y]) if (motionMode === 'off' || nextThumbnails.length === 0) return (
) return (
{Array.from ({ length: 9 }, (_, duplicate) => { const column = duplicate % 3 const row = Math.floor (duplicate / 3) return ( {Array.from ({ length: renderedTileCount }, (_, index) => { const currentThumbnail = displayedThumbnails[ index % Math.max (displayedThumbnails.length, 1)] const frontThumbnail = isFlippingTiles ? fromThumbnails[index % Math.max (fromThumbnails.length, 1)] : currentThumbnail const backThumbnail = isFlippingTiles ? toThumbnails[index % Math.max (toThumbnails.length, 1)] : currentThumbnail const thumbnail = displayedBackdropMode === 'winning_run' || displayedBackdropMode === 'guess' ? nextThumbnails[index % Math.max (nextThumbnails.length, 1)] : currentThumbnail if (!(thumbnail) || !(frontThumbnail) || !(backThumbnail)) return null return ( {(displayedBackdropMode !== 'normal' || !(isFlippingTiles)) ? ( ) : ( )} ) })} ) })}
) } const expectedAnswerFor = ( question: GekanatorQuestion | undefined, correctPost: Post | null, ): GekanatorAnswerValue | null => expectedAnswerForQuestion (question, correctPost) const GekanatorPage: FC<{ user: User | null }> = ({ user }) => { const storedGame = useMemo (loadStoredGame, []) const hasStoredRestore = storedGame !== null && isStoredPhase (storedGame.phase) const queryClient = useQueryClient () const isAdmin = user?.role === 'admin' const canPersistGame = user !== null const [recentGames, setRecentGames] = useState ( () => loadRecentGames ()) const [performanceMode] = useState (() => loadPerformanceMode ()) const [backgroundMotionMode, setBackgroundMotionMode] = useState ( () => loadBackgroundMotionMode (loadPerformanceMode ())) const [prefersReducedMotion, setPrefersReducedMotion] = useState (false) const [gameSeed, setGameSeed] = useState ( storedGame?.gameSeed ?? createGameSeed ()) const [restorePromptVisible, setRestorePromptVisible] = useState (hasStoredRestore) const [phase, setPhase] = useState ( hasStoredRestore ? 'intro' : storedGame?.phase ?? 'intro') const [scores, setScores] = useState> ( () => new Map (storedGame?.scores ?? [])) const [answers, setAnswers] = useState ( storedGame?.answers ?? []) const [askedIds, setAskedIds] = useState> ( () => new Set (storedGame?.askedIds ?? [])) const [softenedQuestionIds, setSoftenedQuestionIds] = useState> ( () => new Set (storedGame?.softenedQuestionIds ?? [])) const [recoveredCandidatePosts, setRecoveredCandidatePosts] = useState> ( () => recoveredCandidateMapFromStored (storedGame?.recoveredCandidatePosts ?? [])) const [recoveryStepCount, setRecoveryStepCount] = useState ( storedGame?.recoveryStepCount ?? 0) const [askedQuestionBank, setAskedQuestionBank] = useState ( () => (storedGame?.askedQuestionBank ?? []).map (restoreGekanatorQuestion)) const [storedAskedQuestionBankIds, setStoredAskedQuestionBankIds] = useState ( (storedGame?.askedQuestionBank?.length ?? 0) > 0 ? [] : storedGame?.askedQuestionBankIds ?? []) const [search, setSearch] = useState (storedGame?.search ?? '') const [selectingCorrectPost, setSelectingCorrectPost] = useState ( storedGame?.selectingCorrectPost ?? false) const [saved, setSaved] = useState (storedGame?.saved ?? false) const [resultWon, setResultWon] = useState ( storedGame?.resultWon ?? null) const [rejectedPostIds, setRejectedPostIds] = useState> ( () => new Set (storedGame?.rejectedPostIds ?? [])) const [lastGuessQuestionCount, setLastGuessQuestionCount] = useState ( storedGame?.lastGuessQuestionCount ?? 0) const [lastRejectedGuessId, setLastRejectedGuessId] = useState ( storedGame?.lastRejectedGuessId ?? null) const [winningRunTargetId, setWinningRunTargetId] = useState ( storedGame?.winningRunTargetId ?? null) const [winningRunStartAnswerCount, setWinningRunStartAnswerCount] = useState (storedGame?.winningRunStartAnswerCount ?? null) const [guessReason, setGuessReason] = useState ( storedGame?.guessReason ?? null) const [activeGuessId, setActiveGuessId] = useState ( storedGame?.activeGuessId ?? null) const [reviewGuessedPostId, setReviewGuessedPostId] = useState ( storedGame?.reviewGuessedPostId ?? null) const [reviewCorrectPostId, setReviewCorrectPostId] = useState ( storedGame?.reviewCorrectPostId ?? null) const [savedGameId, setSavedGameId] = useState ( storedGame?.savedGameId ?? null) const [questionSuggestion, setQuestionSuggestion] = useState ( storedGame?.questionSuggestion ?? '') const [questionSuggestionAnswer, setQuestionSuggestionAnswer] = useState (storedGame?.questionSuggestionAnswer ?? 'yes') const [questionSuggestionCount, setQuestionSuggestionCount] = useState ( storedGame?.questionSuggestionCount ?? 0) const [extraQuestions, setExtraQuestions] = useState ( storedGame?.extraQuestions ?? []) const [extraQuestionAnswers, setExtraQuestionAnswers] = useState> ( storedGame?.extraQuestionAnswers ?? { }) const [extraQuestionState, setExtraQuestionState] = useState< 'idle' | 'loading' | 'ready' | 'empty' | 'saved' > (storedGame?.extraQuestionState ?? 'idle') const [history, setHistory] = useState ([]) const { data: posts = [], isLoading, error } = useQuery ({ queryKey: gekanatorKeys.posts (), queryFn: fetchGekanatorPosts, refetchOnWindowFocus: false }) const { data: acceptedQuestions = [], isFetched: acceptedQuestionsFetched, isLoading: acceptedQuestionsLoading, error: acceptedQuestionsError } = useQuery ({ queryKey: gekanatorKeys.questions (), queryFn: fetchGekanatorQuestions, select: questions => questions.map (restoreGekanatorQuestion), refetchOnWindowFocus: false }) const materialIndex = useMemo (() => buildMaterialIndex (posts), [posts]) const acceptedQuestionMatchIndex = useMemo ( () => buildGekanatorMatchIndex (posts, acceptedQuestions), [posts, acceptedQuestions]) useEffect (() => { if ( posts.length === 0 || storedAskedQuestionBankIds.length === 0 || !(acceptedQuestionsFetched) ) return const questionById = new Map ( mergeQuestions ([ ...acceptedQuestions, ...askedQuestionBank]) .map (question => [question.id, question])) setAskedQuestionBank ( storedAskedQuestionBankIds .map (questionId => questionById.get (questionId)) .filter ((question): question is GekanatorQuestion => question !== undefined)) setStoredAskedQuestionBankIds ([]) }, [ posts, storedAskedQuestionBankIds, acceptedQuestionsFetched, askedQuestionBank, acceptedQuestions]) useEffect (() => { if (restorePromptVisible) return if (!(isStoredPhase (phase)) && answers.length === 0) { clearStoredGame () return } const stored: StoredGekanatorGame = { phase, scores: [...scores.entries ()], answers, askedIds: [...askedIds], softenedQuestionIds: [...softenedQuestionIds], recoveredCandidatePosts: storedRecoveredCandidatesFromMap (recoveredCandidatePosts), recoveryStepCount, askedQuestionBank: askedQuestionBank.map (storeGekanatorQuestion), askedQuestionBankIds: storedAskedQuestionBankIds, search, selectingCorrectPost, saved, resultWon, rejectedPostIds: [...rejectedPostIds], lastGuessQuestionCount, lastRejectedGuessId, winningRunTargetId, winningRunStartAnswerCount, guessReason, activeGuessId, reviewGuessedPostId, reviewCorrectPostId, savedGameId, gameSeed, questionSuggestion, questionSuggestionAnswer, questionSuggestionCount, extraQuestions, extraQuestionAnswers, extraQuestionState } try { sessionStorage.setItem (gameStorageKey, JSON.stringify (stored)) } catch { return } }, [ phase, scores, answers, askedIds, softenedQuestionIds, recoveredCandidatePosts, recoveryStepCount, askedQuestionBank, storedAskedQuestionBankIds, search, selectingCorrectPost, saved, resultWon, rejectedPostIds, lastGuessQuestionCount, lastRejectedGuessId, winningRunTargetId, winningRunStartAnswerCount, guessReason, activeGuessId, reviewGuessedPostId, reviewCorrectPostId, savedGameId, gameSeed, questionSuggestion, questionSuggestionAnswer, questionSuggestionCount, extraQuestions, extraQuestionAnswers, extraQuestionState, restorePromptVisible]) useEffect (() => { if (typeof window === 'undefined' || typeof window.matchMedia !== 'function') return const media = window.matchMedia ('(prefers-reduced-motion: reduce)') const sync = () => setPrefersReducedMotion (media.matches) sync () media.addEventListener ('change', sync) return () => media.removeEventListener ('change', sync) }, []) useEffect (() => { try { localStorage.setItem (backgroundMotionStorageKey, backgroundMotionMode) } catch { return } }, [backgroundMotionMode]) useEffect (() => { try { localStorage.setItem (performanceModeStorageKey, performanceMode) } catch { return } }, [performanceMode]) const askedQuestionById = useMemo ( () => new Map (askedQuestionBank.map (question => [question.id, question])), [askedQuestionBank]) const eligiblePosts = useMemo ( () => candidatePostsForState ({ posts, questionById: askedQuestionById, materialIndex, matchIndex: acceptedQuestionMatchIndex, answers, softenedQuestionIds, rejectedPostIds, recoveredCandidatePosts }), [posts, askedQuestionById, materialIndex, acceptedQuestionMatchIndex, answers, softenedQuestionIds, rejectedPostIds, recoveredCandidatePosts]) const scoringQuestions = useMemo (() => { return mergeQuestions ([...acceptedQuestions, ...askedQuestionBank]) }, [acceptedQuestions, askedQuestionBank]) const scoringQuestionById = useMemo ( () => new Map (scoringQuestions.map (question => [question.id, question])), [scoringQuestions]) const recentFirstQuestionPenaltyById = useMemo (() => { if (performanceMode === 'lite') return new Map () const penalties = new Map () recentGames.forEach ((game, index) => { if (!(game.firstQuestionId)) return penalties.set ( game.firstQuestionId, (penalties.get (game.firstQuestionId) ?? 0) + Math.max (.2, 1 - index * .22)) }) return penalties }, [performanceMode, recentGames]) const userPriorWeights = useMemo ( () => performanceMode === 'lite' ? new Map () : userPriorWeightsFor (posts, recentGames), [performanceMode, posts, recentGames]) const availablePosts = useMemo ( () => posts.filter (post => !(rejectedPostIds.has (post.id))), [posts, rejectedPostIds]) const questionPlan = useMemo ( () => nextQuestionPlanFor ({ posts, eligiblePosts, availablePosts, acceptedQuestions, scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex: acceptedQuestionMatchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount }), [posts, eligiblePosts, availablePosts, acceptedQuestions, scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, acceptedQuestionMatchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount]) const winningRunTargetPost = useMemo ( () => questionPlan.winningRunTargetId === null ? null : posts.find (post => post.id === questionPlan.winningRunTargetId) ?? null, [posts, questionPlan.winningRunTargetId]) const winningRunQuestionsAsked = winningRunQuestionCount ( answers, questionPlan.winningRunStartAnswerCount) const winningRunActive = isWinningRunActive ( questionPlan.winningRunTargetId, questionPlan.winningRunStartAnswerCount) && winningRunQuestionsAsked < winningRunQuestionLimit && eligiblePosts.length === 1 && eligiblePosts[0]?.id === questionPlan.winningRunTargetId && winningRunTargetPost !== null const topScoredPosts = useMemo ( () => eligiblePosts .map (post => ({ post, score: scores.get (post.id) ?? 0 })) .sort ((a, b) => b.score - a.score) .slice (0, 3), [eligiblePosts, scores]) const currentQuestion = questionPlan.question const answerPreviews = useMemo ( () => isAdmin && currentQuestion ? answerOptions.map (option => previewAnswer ({ posts: eligiblePosts, scores, question: currentQuestion, answer: option.value, materialIndex, matchIndex: acceptedQuestionMatchIndex })) : [], [isAdmin, currentQuestion, eligiblePosts, materialIndex, acceptedQuestionMatchIndex, scores]) const guessablePosts = eligiblePosts.length > 0 ? eligiblePosts : availablePosts const guessConfidences = useMemo ( () => confidencesFor (guessablePosts, scores), [guessablePosts, scores]) const bestConfidencePercent = guessConfidences[0]?.percent ?? 0 const guess = bestPost (guessablePosts, scores) const displayedGuess = posts.find (post => post.id === activeGuessId) ?? guess const reviewGuessedPost = posts.find (post => post.id === reviewGuessedPostId) ?? null const reviewCorrectPost = posts.find (post => post.id === reviewCorrectPostId) ?? null const effectiveResultWon = resultWon ?? ( reviewGuessedPostId !== null && reviewCorrectPostId !== null ? reviewGuessedPostId === reviewCorrectPostId : null) const effectiveBackgroundMotionMode = performanceMode === 'lite' ? 'off' : backgroundMotionMode === 'off' ? 'off' : prefersReducedMotion ? 'calm' : backgroundMotionMode const backgroundPosts = useMemo ( () => performanceMode === 'lite' ? [] : backgroundPostsFor ({ phase, eligiblePosts, availablePosts, displayedGuess, reviewCorrectPost, reviewGuessedPost }), [performanceMode, phase, eligiblePosts, availablePosts, displayedGuess, reviewCorrectPost, reviewGuessedPost]) const backgroundVisualSeed = performanceMode === 'lite' ? '' : `${ gameSeed }:${ phase }:${ answers.length }:${ activeGuessId ?? '' }:${ questionPlan.question?.id ?? '' }:${ questionPlan.questionMode ?? '' }:${ winningRunQuestionsAsked }:${ rejectedPostIds.size }:${ backgroundPosts.slice (0, 8).map (post => post.id).join ('|') }` const mascot = mascotStateFor (phase, effectiveResultWon, eligiblePosts.length, bestConfidencePercent, winningRunActive) const mascotAsset = mascotAssetByState[mascot] const mascotAlt = mascotAltByState[mascot] const saveMutation = useMutation ({ mutationFn: saveGekanatorGame, onSuccess: (data, variables) => { setRecentGames (storeRecentGameSummary ({ correctPostId: variables.correctPostId, firstQuestionId: variables.answers[0]?.questionId ?? null, savedAt: Date.now () })) setSaved (true) setSavedGameId (data.id) setResultWon (variables.guessedPostId === variables.correctPostId) }}) const questionSuggestionMutation = useMutation ({ mutationFn: saveGekanatorQuestionSuggestion, onSuccess: async data => { await queryClient.refetchQueries ({ queryKey: gekanatorKeys.questions () }) setQuestionSuggestionCount (data.count) setQuestionSuggestion ('') setQuestionSuggestionAnswer ('yes') }}) const extraQuestionAnswersMutation = useMutation ({ mutationFn: saveGekanatorExtraQuestionAnswers, onSuccess: async () => { await queryClient.refetchQueries ({ queryKey: gekanatorKeys.questions () }) setExtraQuestionState ('saved') setPhase ('end') }}) const resetExtraQuestionState = () => { const next = resettableExtraQuestionState () setExtraQuestions (next.extraQuestions) setExtraQuestionAnswers (next.extraQuestionAnswers) setExtraQuestionState (next.extraQuestionState) extraQuestionAnswersMutation.reset () } const reset = () => { clearStoredGame () saveMutation.reset () questionSuggestionMutation.reset () setRestorePromptVisible (false) setPhase ('intro') setScores (new Map ()) setAnswers ([]) setAskedIds (new Set ()) setSoftenedQuestionIds (new Set ()) setRecoveredCandidatePosts (new Map ()) setRecoveryStepCount (0) setAskedQuestionBank ([]) setSearch ('') setSelectingCorrectPost (false) setSaved (false) setResultWon (null) setRejectedPostIds (new Set ()) setLastGuessQuestionCount (0) setLastRejectedGuessId (null) setWinningRunTargetId (null) setWinningRunStartAnswerCount (null) setGuessReason (null) setActiveGuessId (null) setReviewGuessedPostId (null) setReviewCorrectPostId (null) setSavedGameId (null) setGameSeed (createGameSeed ()) setQuestionSuggestion ('') setQuestionSuggestionAnswer ('yes') setQuestionSuggestionCount (0) resetExtraQuestionState () setHistory ([]) } const continueStoredGame = () => { setRestorePromptVisible (false) setPhase (storedGame?.phase ?? 'question') } const recoverQuestionState = useCallback (({ nextAnswers, nextAskedIds, nextAskedQuestionBank, nextSoftenedQuestionIds, nextRejectedPostIds, nextRecoveredCandidatePosts, nextRecoveryStepCount, allowPreQuestionRecovery, }: { nextAnswers: GekanatorAnswerLog[] nextAskedIds: Set nextAskedQuestionBank: GekanatorQuestion[] nextSoftenedQuestionIds: Set nextRejectedPostIds: Set nextRecoveredCandidatePosts: Map nextRecoveryStepCount: number allowPreQuestionRecovery?: boolean }) => { let recoveredSoftenedQuestionIds = new Set (nextSoftenedQuestionIds) let recoveredCandidatePosts = new Map (nextRecoveredCandidatePosts) let recoveredStepCount = nextRecoveryStepCount const nextAskedQuestionById = new Map (nextAskedQuestionBank.map (question => [question.id, question])) const answerCountAtRecovery = allowPreQuestionRecovery ? nextAnswers.length : Math.max (nextAnswers.length - 1, 0) let recoveredScores = recalculateScores ({ posts, questions: nextAskedQuestionBank, answers: nextAnswers, softenedQuestionIds: recoveredSoftenedQuestionIds, materialIndex, matchIndex: acceptedQuestionMatchIndex }) let recoveredEligiblePosts = candidatePostsForState ({ posts, questionById: nextAskedQuestionById, materialIndex, matchIndex: acceptedQuestionMatchIndex, answers: nextAnswers, softenedQuestionIds: recoveredSoftenedQuestionIds, rejectedPostIds: nextRejectedPostIds, recoveredCandidatePosts }) let recoveredQuestions = buildQuestionsForCandidateIds ({ candidateIds: recoveredEligiblePosts.map (post => post.id), materialIndex, performanceMode, acceptedQuestions }) let recoveredScoringQuestions = mergeQuestions ([ ...recoveredQuestions, ...nextAskedQuestionBank]) const refreshRecoveredState = () => { recoveredScores = recalculateScores ({ posts, questions: nextAskedQuestionBank, answers: nextAnswers, softenedQuestionIds: recoveredSoftenedQuestionIds, materialIndex, matchIndex: acceptedQuestionMatchIndex }) recoveredEligiblePosts = candidatePostsForState ({ posts, questionById: nextAskedQuestionById, materialIndex, matchIndex: acceptedQuestionMatchIndex, answers: nextAnswers, softenedQuestionIds: recoveredSoftenedQuestionIds, rejectedPostIds: nextRejectedPostIds, recoveredCandidatePosts }) recoveredQuestions = buildQuestionsForCandidateIds ({ candidateIds: recoveredEligiblePosts.map (post => post.id), materialIndex, performanceMode, acceptedQuestions }) recoveredScoringQuestions = mergeQuestions ([ ...recoveredQuestions, ...nextAskedQuestionBank]) } const needsPreQuestionRecovery = () => { if ( !(allowPreQuestionRecovery) || recoveredEligiblePosts.length === 0 || recoveredEligiblePosts.length === 1 ) return false const nextQuestion = chooseQuestion ({ posts: recoveredEligiblePosts, questions: recoveredScoringQuestions, scores: recoveredScores, answers: nextAnswers, askedIds: nextAskedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex: acceptedQuestionMatchIndex }) const fallbackQuestion = nextQuestion ?? chooseFallbackQuestion ({ posts: recoveredEligiblePosts, allPosts: posts, questions: recoveredScoringQuestions, answers: nextAnswers, askedIds: nextAskedIds, scores: recoveredScores, materialIndex, matchIndex: acceptedQuestionMatchIndex }) return !(fallbackQuestion) || !(hasDiscriminatingHardSplitForQuestion ({ candidateIds: recoveredEligiblePosts.map (post => post.id), question: fallbackQuestion, posts, materialIndex, matchIndex: acceptedQuestionMatchIndex })) } while (recoveredEligiblePosts.length === 0 || needsPreQuestionRecovery ()) { const recoveredPosts = recoverCandidatePosts ({ posts, scores: recoveredScores, rejectedPostIds: nextRejectedPostIds, recoveredCandidatePosts, eligiblePostIds: new Set (recoveredEligiblePosts.map (post => post.id)), answerCountAtRecovery, recoveryStepCount: recoveredStepCount }) if (recoveredPosts) { recoveredCandidatePosts = recoveredPosts.recoveredCandidatePosts recoveredStepCount = recoveredPosts.recoveryStepCount refreshRecoveredState () if (recoveredEligiblePosts.length > 0 && !(needsPreQuestionRecovery ())) break } if (nextAnswers.length >= hardMaxQuestions) break if (recoveredEligiblePosts.length > 0 && !(needsPreQuestionRecovery ())) break const softened = softenNextQuestionIds ({ questions: nextAskedQuestionBank, answers: nextAnswers, softenedQuestionIds: recoveredSoftenedQuestionIds }) if (!(softened)) break recoveredSoftenedQuestionIds = softened refreshRecoveredState () } return { softenedQuestionIds: recoveredSoftenedQuestionIds, recoveredCandidatePosts, recoveryStepCount: recoveredStepCount, scores: recoveredScores, eligiblePosts: recoveredEligiblePosts, scoringQuestions: recoveredScoringQuestions } }, [ posts, gameSeed, performanceMode, materialIndex, acceptedQuestions, acceptedQuestionMatchIndex, recentFirstQuestionPenaltyById, userPriorWeights]) const answer = (value: GekanatorAnswerValue) => { if (!(currentQuestion)) { if (questionPlan.guess && shouldEnterGuessPhase (questionPlan.guessReason)) { setActiveGuessId (questionPlan.guess.id) setLastGuessQuestionCount (answers.length) setGuessReason (questionPlan.guessReason) setPhase ('guess') } return } setHistory ([...history, { phase, scores: new Map (scores), answers: [...answers], askedIds: new Set (askedIds), softenedQuestionIds: new Set (softenedQuestionIds), recoveredCandidatePosts: new Map (recoveredCandidatePosts), recoveryStepCount, askedQuestionBank: [...askedQuestionBank], search, selectingCorrectPost, rejectedPostIds: new Set (rejectedPostIds), lastGuessQuestionCount, lastRejectedGuessId, winningRunTargetId, winningRunStartAnswerCount, guessReason, activeGuessId, reviewGuessedPostId, reviewCorrectPostId }]) const nextAnswers = [...answers, { questionId: currentQuestion.id, questionText: currentQuestion.text, questionCondition: currentQuestion.condition, questionMode: questionPlan.questionMode ?? undefined, answer: value, originalAnswer: value }] const nextAskedIds = new Set ([...askedIds, currentQuestion.id]) const nextAskedQuestionBank = [ ...askedQuestionBank.filter (question => question.id !== currentQuestion.id), currentQuestion] const recovered = recoverQuestionState ({ nextAnswers, nextAskedIds, nextAskedQuestionBank, nextSoftenedQuestionIds: softenedQuestionIds, nextRejectedPostIds: rejectedPostIds, nextRecoveredCandidatePosts: recoveredCandidatePosts, nextRecoveryStepCount: recoveryStepCount }) const nextEligiblePosts = recovered.eligiblePosts let nextPlan = nextQuestionPlanFor ({ posts, eligiblePosts: nextEligiblePosts, availablePosts, acceptedQuestions, scores: recovered.scores, answers: nextAnswers, askedIds: nextAskedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex: acceptedQuestionMatchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount }) let finalRecovered = recovered if ( !(nextPlan.question) && !(shouldEnterGuessPhase (nextPlan.guessReason)) && recovered.eligiblePosts.length !== 1 ) { const recoveredForQuestion = recoverQuestionState ({ nextAnswers, nextAskedIds, nextAskedQuestionBank, nextSoftenedQuestionIds: recovered.softenedQuestionIds, nextRejectedPostIds: rejectedPostIds, nextRecoveredCandidatePosts: recovered.recoveredCandidatePosts, nextRecoveryStepCount: recovered.recoveryStepCount, allowPreQuestionRecovery: true }) nextPlan = nextQuestionPlanFor ({ posts, eligiblePosts: recoveredForQuestion.eligiblePosts, availablePosts, acceptedQuestions, scores: recoveredForQuestion.scores, answers: nextAnswers, askedIds: nextAskedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex: acceptedQuestionMatchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount }) finalRecovered = recoveredForQuestion } setScores (finalRecovered.scores) setAskedIds (nextAskedIds) setSoftenedQuestionIds (finalRecovered.softenedQuestionIds) setRecoveredCandidatePosts (finalRecovered.recoveredCandidatePosts) setRecoveryStepCount (finalRecovered.recoveryStepCount) setAskedQuestionBank (nextAskedQuestionBank) setAnswers (nextAnswers) setWinningRunTargetId (nextPlan.winningRunTargetId) setWinningRunStartAnswerCount (nextPlan.winningRunStartAnswerCount) if (nextPlan.question) { setGuessReason (null) setActiveGuessId (null) setPhase ('question') return } setGuessReason (nextPlan.guessReason) if (nextPlan.guess && shouldEnterGuessPhase (nextPlan.guessReason)) { setActiveGuessId (nextPlan.guess.id) setLastGuessQuestionCount (nextAnswers.length) setPhase ('guess') } } const finishGame = (correctPostId: number) => { const guessedPostId = phase === 'end' || phase === 'review' ? reviewGuessedPostId : phase === 'continue' ? lastRejectedGuessId ?? displayedGuess?.id : displayedGuess?.id ?? lastRejectedGuessId if (!(guessedPostId)) return saveMutation.reset () questionSuggestionMutation.reset () resetExtraQuestionState () setSaved (false) setSavedGameId (null) setReviewGuessedPostId (guessedPostId) setReviewCorrectPostId (correctPostId) setSearch ('') setSelectingCorrectPost (false) setPhase ('end') } const startReview = () => { if (reviewGuessedPostId === null || reviewCorrectPostId === null) return saveMutation.reset () questionSuggestionMutation.reset () resetExtraQuestionState () setSaved (false) setSavedGameId (null) setSelectingCorrectPost (false) setSearch ('') setPhase ('review') } const saveReviewedResult = (onSuccess: (gameId: number) => void) => { if ( !(canPersistGame) || reviewGuessedPostId === null || reviewCorrectPostId === null || saveMutation.isPending ) return if (savedGameId !== null) { onSuccess (savedGameId) return } saveMutation.mutate ({ guessedPostId: reviewGuessedPostId, correctPostId: reviewCorrectPostId, answers }, { onSuccess: data => onSuccess (data.id) }) } const saveAndReset = () => { if (!(canPersistGame)) { reset () return } saveReviewedResult (reset) } const saveAndLearn = () => { if (!(canPersistGame)) { setPhase ('end') return } resetExtraQuestionState () saveReviewedResult (() => setPhase ('end')) } const submitQuestionSuggestion = () => { const questionText = questionSuggestion.trim () if ( !(canPersistGame) || !(questionText) || questionSuggestionMutation.isPending || questionSuggestionCount >= maxQuestionSuggestionsPerGame ) return saveReviewedResult (gekanatorGameId => { questionSuggestionMutation.mutate ({ gekanatorGameId, questionText, answer: questionSuggestionAnswer }) }) } const saveExtraQuestions = () => { if ( !(canPersistGame) || savedGameId === null || extraQuestionAnswersMutation.isPending || extraQuestions.some (question => !(extraQuestionAnswers[String (question.id)])) ) return extraQuestionAnswersMutation.mutate ({ gameId: savedGameId, answers: extraQuestions.map (question => ({ questionId: question.id, answer: extraQuestionAnswers[String (question.id)] })) }) } const rejectGuess = () => { if (!(displayedGuess)) return setLastRejectedGuessId (displayedGuess.id) if (answers.length >= hardMaxQuestions) { setSelectingCorrectPost (true) return } setRejectedPostIds (new Set ([...rejectedPostIds, displayedGuess.id])) setRecoveredCandidatePosts ( new Map ( [...recoveredCandidatePosts.entries ()].filter ( ([postId]) => postId !== displayedGuess.id))) setWinningRunTargetId (null) setWinningRunStartAnswerCount (null) setGuessReason (null) setActiveGuessId (null) setSearch ('') setSelectingCorrectPost (false) setLastGuessQuestionCount (answers.length) setPhase ('continue') } const undoAnswer = () => { const snapshot = history[history.length - 1] if (!(snapshot) || saved) return setPhase (snapshot.phase) setScores (snapshot.scores) setAnswers (snapshot.answers) setAskedIds (snapshot.askedIds) setSoftenedQuestionIds (snapshot.softenedQuestionIds) setRecoveredCandidatePosts (snapshot.recoveredCandidatePosts) setRecoveryStepCount (snapshot.recoveryStepCount) setAskedQuestionBank (snapshot.askedQuestionBank) setSearch (snapshot.search) setSelectingCorrectPost (snapshot.selectingCorrectPost) setRejectedPostIds (snapshot.rejectedPostIds) setLastGuessQuestionCount (snapshot.lastGuessQuestionCount) setLastRejectedGuessId (snapshot.lastRejectedGuessId) setWinningRunTargetId (snapshot.winningRunTargetId) setWinningRunStartAnswerCount (snapshot.winningRunStartAnswerCount) setGuessReason (snapshot.guessReason) setActiveGuessId (snapshot.activeGuessId) setReviewGuessedPostId (snapshot.reviewGuessedPostId) setReviewCorrectPostId (snapshot.reviewCorrectPostId) setHistory (history.slice (0, -1)) } const continueGame = () => { setSearch ('') setSelectingCorrectPost (false) const recovered = recoverQuestionState ({ nextAnswers: answers, nextAskedIds: askedIds, nextAskedQuestionBank: askedQuestionBank, nextSoftenedQuestionIds: softenedQuestionIds, nextRejectedPostIds: rejectedPostIds, nextRecoveredCandidatePosts: recoveredCandidatePosts, nextRecoveryStepCount: recoveryStepCount, allowPreQuestionRecovery: true }) setSoftenedQuestionIds (recovered.softenedQuestionIds) setRecoveredCandidatePosts (recovered.recoveredCandidatePosts) setRecoveryStepCount (recovered.recoveryStepCount) setScores (recovered.scores) const nextPlan = nextQuestionPlanFor ({ posts, eligiblePosts: recovered.eligiblePosts, availablePosts, acceptedQuestions, scores: recovered.scores, answers, askedIds, gameSeed, recentFirstQuestionPenaltyById, userPriorWeights, performanceMode, materialIndex, matchIndex: acceptedQuestionMatchIndex, lastGuessQuestionCount, winningRunTargetId, winningRunStartAnswerCount }) setWinningRunTargetId (nextPlan.winningRunTargetId) setWinningRunStartAnswerCount (nextPlan.winningRunStartAnswerCount) if (nextPlan.question) { setGuessReason (null) setActiveGuessId (null) setPhase ('question') return } setGuessReason (nextPlan.guessReason) if (nextPlan.guess && shouldEnterGuessPhase (nextPlan.guessReason)) { setActiveGuessId (nextPlan.guess.id) setLastGuessQuestionCount (answers.length) setPhase ('guess') } } const correctAnswerAt = (index: number, value: GekanatorAnswerValue) => { setSaved (false) setSavedGameId (null) resetExtraQuestionState () setAnswers (answers.map ((answer, i) => i === index ? { ...answer, answer: value } : answer)) } const selectCorrectPost = (post: Post) => { if (phase === 'review') { setSaved (false) setSavedGameId (null) resetExtraQuestionState () setReviewCorrectPostId (post.id) setSelectingCorrectPost (false) setSearch ('') return } finishGame (post.id) } const filteredPosts = posts .filter (post => { const needle = search.trim ().toLowerCase () if (!(needle)) return false if (/^\d+$/.test (needle) && post.id === Number (needle)) return true return [post.title, post.url, ...post.tags.map (tag => tag.name)] .filter ((value): value is string => Boolean (value)) .some (value => value.toLowerCase ().includes (needle)) }) .sort ((a, b) => { const id = Number (search.trim ()) if (Number.isFinite (id)) return Number (b.id === id) - Number (a.id === id) return 0 }) .slice (0, 20) const loadExtraQuestions = async (gameId: number) => { extraQuestionAnswersMutation.reset () setExtraQuestionState ('loading') setExtraQuestions ([]) setExtraQuestionAnswers ({ }) setPhase ('extra_questions') const nonce = createGameSeed () try { const questions = await queryClient.fetchQuery ({ queryKey: gekanatorKeys.extraQuestions (gameId, nonce), queryFn: () => fetchGekanatorExtraQuestions (gameId, nonce) }) setExtraQuestions (questions) setExtraQuestionState (questions.length > 0 ? 'ready' : 'empty') } catch { setExtraQuestionState ('empty') } } const startExtraQuestions = () => { if (reviewCorrectPostId === null || saveMutation.isPending) return saveReviewedResult (gameId => { void loadExtraQuestions (gameId) }) } const answerExtraQuestion = ( questionId: number, value: GekanatorAnswerValue, ) => { setExtraQuestionAnswers ({ ...extraQuestionAnswers, [String (questionId)]: value }) } const introDialogue = <>私は洗澡鹿シーザオグカ。質問から投稿を何でも当ててみせるよ。 const winDialogue = <>グカカカカwwwww 洗澡鹿シーザオグカは何でもお見通し! const loseDialogue = <>ぬわーん! 洗澡鹿シーザオグカ外しちゃったグカー!!!!! const resultDialogue = effectiveResultWon ? winDialogue : loseDialogue const dialogue = phase === 'learned' ? resultDialogue : introDialogue const introLoading = isLoading || acceptedQuestionsLoading const readyToStart = !(introLoading) && acceptedQuestionsFetched && posts.length > 0 && !(error) && !(acceptedQuestionsError) useEffect (() => { if ( phase !== 'question' || currentQuestion || isLoading || acceptedQuestionsLoading || shouldEnterGuessPhase (questionPlan.guessReason) || eligiblePosts.length === 1 ) return const recovered = recoverQuestionState ({ nextAnswers: answers, nextAskedIds: askedIds, nextAskedQuestionBank: askedQuestionBank, nextSoftenedQuestionIds: softenedQuestionIds, nextRejectedPostIds: rejectedPostIds, nextRecoveredCandidatePosts: recoveredCandidatePosts, nextRecoveryStepCount: recoveryStepCount, allowPreQuestionRecovery: true }) if ( recovered.recoveryStepCount === recoveryStepCount && recovered.recoveredCandidatePosts.size === recoveredCandidatePosts.size && recovered.softenedQuestionIds.size === softenedQuestionIds.size ) return setSoftenedQuestionIds (recovered.softenedQuestionIds) setRecoveredCandidatePosts (recovered.recoveredCandidatePosts) setRecoveryStepCount (recovered.recoveryStepCount) setScores (recovered.scores) }, [ phase, currentQuestion, questionPlan, answers, askedIds, askedQuestionBank, softenedQuestionIds, rejectedPostIds, recoveredCandidatePosts, recoveryStepCount, eligiblePosts, recoverQuestionState, isLoading, acceptedQuestionsLoading]) useEffect (() => { if ( phase !== 'question' || isLoading || acceptedQuestionsLoading ) return if ( currentQuestion || !(questionPlan.guess) || !(shouldEnterGuessPhase (questionPlan.guessReason)) ) return setWinningRunTargetId (questionPlan.winningRunTargetId) setWinningRunStartAnswerCount (questionPlan.winningRunStartAnswerCount) setActiveGuessId (questionPlan.guess.id) setLastGuessQuestionCount (answers.length) setGuessReason (questionPlan.guessReason) setPhase ('guess') }, [ phase, currentQuestion, questionPlan, answers, isLoading, acceptedQuestionsLoading]) return ( {`グカネータ | ${ SITE_TITLE }`} {performanceMode !== 'lite' && ( )}

グカネータ

{performanceMode === 'normal' && (
背景 {[{ mode: 'off' as const, label: 'オフ' }, { mode: 'on' as const, label: 'オン' }] .map (({ mode, label }) => ( ))} {prefersReducedMotion && effectiveBackgroundMotionMode !== 'off' && ( 端末設定により控えめ表示 )}
)}
{mascotAlt}
{phase === 'intro' && (

{dialogue}

)} {introLoading && (

{phase === 'intro' ? '投稿を読み込んでいます……' : '前回のグカネータ状態を復元しています……'}

)} {(Boolean (error) || Boolean (acceptedQuestionsError)) &&

グカネータの質問データを読み込めませんでした.

} {phase === 'intro' && readyToStart && restorePromptVisible && (
)} {phase === 'intro' && readyToStart && !(restorePromptVisible) && ( )} {phase === 'question' && currentQuestion && (

質問 {answers.length + 1}

{currentQuestion.text}

{isAdmin && (
現在候補: {eligiblePosts.length} 件
winningRunTargetId: {String (questionPlan.winningRunTargetId)} {' / '} winningRunQuestionCount: {winningRunQuestionsAsked} {' / '} guessReason: {guessReason ?? '-'} {' / '} questionMode: {questionPlan.questionMode ?? '-'} {' / '} recoveryStepCount: {recoveryStepCount} {' / '} currentQuestion===null: {String (currentQuestion === null)}
{topScoredPosts.length > 0 && (
{topScoredPosts.map (item => ( #{item.post.id}: score {item.score.toFixed (1)} ))}
)}
)} {isAdmin && answerPreviews.length > 0 && (
{answerOptions.map (option => { const preview = answerPreviews.find (item => item.answer === option.value) return (
{option.label} {' '} 候補 {preview ? preview.candidateCount : 0} 件
effective {preview?.effectiveCandidates.toFixed (2) ?? '0.00'} {' / '} entropy {preview?.entropy.toFixed (2) ?? '0.00'}
) })}
)}
{answerOptions.map (option => ( ))} {history.length > 0 && ( )}
)} {phase === 'question' && !(currentQuestion) && isAdmin && (
question stalled
winningRunTargetId: {String (questionPlan.winningRunTargetId)} {' / '} winningRunQuestionCount: {winningRunQuestionsAsked} {' / '} guessReason: {questionPlan.guessReason ?? '-'} {' / '} questionMode: {questionPlan.questionMode ?? '-'} {' / '} recoveryStepCount: {recoveryStepCount} {' / '} candidateCount: {eligiblePosts.length}
)} {phase === 'guess' && displayedGuess && (

思い浮かべているのは、これだね?

{isAdmin && (
winningRunTargetId: {String (questionPlan.winningRunTargetId)} {' / '} winningRunQuestionCount: {winningRunQuestionsAsked} {' / '} guessReason: {guessReason ?? '-'} {' / '} questionMode: {questionPlan.questionMode ?? '-'} {' / '} recoveryStepCount: {recoveryStepCount} {' / '} currentQuestion===null: {String (currentQuestion === null)}
)}
{history.length > 0 && ( )}
{saveMutation.isError && (

記録できませんでした。通信状態を確認してもう一度試して。

)}
)} {phase === 'continue' && (

続けますか?

{history.length > 0 && ( )}
)} {phase === 'end' && (

{resultDialogue}

{reviewGuessedPost && (
推測した投稿
)}
正解の投稿
{reviewCorrectPost ? :

正解投稿を選んでください。

}
{reviewGuessedPostId !== null && reviewCorrectPostId !== null && (

判定: {reviewGuessedPostId === reviewCorrectPostId ? '当たり' : '違ひ'}

)} {saveMutation.isError && (

記録できませんでした。通信状態を確認してもう一度試して。

)} {!(canPersistGame) && (

未ログインのため今回の結果は保存されません。 設定 から引継ぎコードを復元すると、質問追加や追加学習も使へます。

)}
)} {phase === 'review' && (

結果修正

{reviewGuessedPost && (
推測した投稿
)}
正解の投稿
{reviewCorrectPost ? :

正解投稿を選んでください。

}
質問と回答
{answers.map ((answer, index) => { const expectedAnswer = expectedAnswerFor ( scoringQuestionById.get (answer.questionId), reviewCorrectPost) return (
質問 {index + 1}
{answer.questionText}
グカネータ判定: {expectedAnswer ? answerLabelFor (expectedAnswer) : '不明'}
実際の回答: {answerLabelFor (answer.originalAnswer)}
) })}
{reviewGuessedPostId !== null && reviewCorrectPostId !== null && (

判定: {reviewGuessedPostId === reviewCorrectPostId ? '当たり' : 'はずれ'}

)} {saveMutation.isError && (

記録できませんでした。通信状態を確認してもう一度試して。

)}
)} {phase === 'question_suggestion' && (

質問追加

どんな質問なら見分けられさう?

追加済み {questionSuggestionCount} / {maxQuestionSuggestionsPerGame}