134 lines
3.8 KiB
TypeScript
134 lines
3.8 KiB
TypeScript
import { useState } from 'react'
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import { useToast } from '@/components/shared/Toast'
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import { getLevelIndex } from '@/lib/utils/cefrUtils'
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import { API_CONFIG } from '@/lib/config/api'
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interface AnalysisResult {
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originalText: string
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sentenceMeaning: string
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grammarCorrection: any
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vocabularyAnalysis: Record<string, any>
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idioms: any[]
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[key: string]: any
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}
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export function useSentenceAnalysis() {
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const [isAnalyzing, setIsAnalyzing] = useState(false)
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const toast = useToast()
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const analyzeSentence = async (textInput: string) => {
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setIsAnalyzing(true)
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try {
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const response = await fetch(`${API_CONFIG.BASE_URL}/api/ai/analyze-sentence`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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inputText: textInput,
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analysisMode: 'full',
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options: {
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includeGrammarCheck: true,
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includeVocabularyAnalysis: true,
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includeTranslation: true,
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includeIdiomDetection: true,
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includeExamples: true
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}
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})
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})
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if (!response.ok) {
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let errorMessage = `API請求失敗: ${response.status}`
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try {
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const errorData = await response.json()
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errorMessage = errorData.error?.message || errorData.message || errorMessage
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} catch (e) {
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console.warn('無法解析錯誤回應:', e)
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}
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throw new Error(errorMessage)
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}
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const result = await response.json()
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if (!result.success || !result.data) {
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throw new Error('API回應格式錯誤')
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}
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// 處理API回應 - 適配新的後端格式
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const apiData = result.data.data
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// 設定完整的分析結果
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const analysisData: AnalysisResult = {
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originalText: apiData.originalText,
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sentenceMeaning: apiData.sentenceMeaning,
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grammarCorrection: apiData.grammarCorrection,
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vocabularyAnalysis: apiData.vocabularyAnalysis,
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idioms: apiData.idioms || []
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}
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// 計算詞彙統計
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const vocabularyStats = calculateVocabularyStats(apiData.vocabularyAnalysis)
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toast.success('句子分析完成！')
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return {
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success: true,
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data: {
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analysis: analysisData,
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stats: vocabularyStats,
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sentenceMeaning: apiData.sentenceMeaning,
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grammarCorrection: apiData.grammarCorrection
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}
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}
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} catch (error: any) {
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const errorMessage = error.message || '分析失敗，請重試'
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toast.error(errorMessage)
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return {
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success: false,
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error: errorMessage
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}
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} finally {
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setIsAnalyzing(false)
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}
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}
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// 詞彙統計計算邏輯
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const calculateVocabularyStats = (vocabularyAnalysis: Record<string, any>) => {
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if (!vocabularyAnalysis) {
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return { simpleCount: 0, moderateCount: 0, difficultCount: 0, idiomCount: 0 }
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}
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const userLevel = localStorage.getItem('userEnglishLevel') || 'A2'
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const userLevelIndex = getLevelIndex(userLevel)
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let simpleCount = 0
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let moderateCount = 0
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let difficultCount = 0
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let idiomCount = 0
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Object.values(vocabularyAnalysis).forEach((wordData: any) => {
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if (wordData.isIdiom) {
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idiomCount++
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return
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}
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const wordLevelIndex = getLevelIndex(wordData.cefr || 'A1')
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if (wordLevelIndex < userLevelIndex) {
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simpleCount++
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} else if (wordLevelIndex === userLevelIndex || wordLevelIndex === userLevelIndex + 1) {
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moderateCount++
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} else {
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difficultCount++
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}
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})
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return { simpleCount, moderateCount, difficultCount, idiomCount }
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}
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return {
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analyzeSentence,
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isAnalyzing
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}
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} |