guoyu/fronted_uniapp/api/study/voiceEvaluation.js

import request from '@/utils/request.js'

/**
 * 语音评测API
 */

// 上传音频并进行评测
export function uploadAndEvaluate(filePath, content, courseId, language = 'zh-CN') {
    return new Promise((resolve, reject) => {
        const token = uni.getStorageSync('token')
        if (!token) {
            reject(new Error('请先登录'))
            return
        }

        // 从文件路径提取格式
        let format = 'pcm' // 默认pcm
        if (filePath) {
            const ext = filePath.substring(filePath.lastIndexOf('.') + 1).toLowerCase()
            if (ext) {
                format = ext
            }
        }
        console.log('📤 上传音频文件:', filePath, '格式:', format)

        // 构建formData，courseId为空时不传
        const formData = {
            content: content,
            language: language,
            format: format  // 添加format参数，必须传给后端
        }
        if (courseId) {
            formData.courseId = courseId
        }

        const baseURL = request.getBaseURL()
        
        console.log('========================================')
        console.log('📤 准备上传音频文件')
        console.log('文件路径:', filePath)
        console.log('格式:', format)
        console.log('上传地址:', baseURL + '/study/voiceEvaluation/uploadAndEvaluate')
        console.log('FormData:', formData)
        console.log('========================================')

        // 显示上传提示
        uni.showToast({
            title: '正在上传录音...',
            icon: 'loading',
            duration: 10000
        })

        uni.uploadFile({
            url: baseURL + '/study/voiceEvaluation/uploadAndEvaluate',
            filePath: filePath,
            name: 'file',
            formData: formData,
            header: {
                'Authorization': 'Bearer ' + token
            },
            success: (res) => {
                uni.hideToast()
                console.log('✅ 上传成功，服务器响应:', res)
                try {
                    const data = JSON.parse(res.data)
                    if (data.code === 200) {
                        resolve(data)
                    } else {
                        // 处理401未授权错误
                        if (data.code === 401) {
                            uni.removeStorageSync('token')
                            uni.removeStorageSync('userInfo')
                            uni.reLaunch({
                                url: '/pages/login/login'
                            })
                            reject(new Error('登录已过期，请重新登录'))
                        } else {
                            reject(new Error(data.msg || '评测失败'))
                        }
                    }
                } catch (e) {
                    console.error('解析响应数据失败', e, res.data)
                    reject(new Error('解析响应数据失败：' + e.message))
                }
            },
            fail: (err) => {
                console.error('上传失败', err)
                let errorMsg = '上传失败'
                if (err.errMsg) {
                    if (err.errMsg.includes('timeout')) {
                        errorMsg = '上传超时，请检查网络连接'
                    } else if (err.errMsg.includes('fail')) {
                        errorMsg = '网络请求失败，请检查网络连接'
                    }
                }
                reject(new Error(errorMsg))
            }
        })
    })
}

// 获取我的语音评测记录
export function getMyVoiceRecords(courseId) {
    const params = courseId ? { courseId } : {}
    return request.get('/study/voiceEvaluation/my-records', params)
}

// 提交语音评测（支持可选的音频文件上传）
export function submitVoiceEvaluation(id, audioFilePath) {
    return new Promise((resolve, reject) => {
        const token = uni.getStorageSync('token')
        if (!token) {
            reject(new Error('请先登录'))
            return
        }

        // 如果提供了音频文件路径，使用文件上传方式
        if (audioFilePath) {
            const baseURL = request.getBaseURL()
            uni.uploadFile({
                url: baseURL + `/study/voiceEvaluation/submit/${id}`,
                filePath: audioFilePath,
                name: 'file',
                formData: {},
                header: {
                    'Authorization': 'Bearer ' + token
                },
                success: (res) => {
                    try {
                        const data = JSON.parse(res.data)
                        if (data.code === 200) {
                            resolve(data)
                        } else {
                            if (data.code === 401) {
                                uni.removeStorageSync('token')
                                uni.removeStorageSync('userInfo')
                                uni.reLaunch({
                                    url: '/pages/login/login'
                                })
                                reject(new Error('登录已过期，请重新登录'))
                            } else {
                                reject(new Error(data.msg || '提交失败'))
                            }
                        }
                    } catch (e) {
                        console.error('解析响应数据失败', e, res.data)
                        reject(new Error('解析响应数据失败：' + e.message))
                    }
                },
                fail: (err) => {
                    console.error('提交失败', err)
                    let errorMsg = '提交失败'
                    if (err.errMsg) {
                        if (err.errMsg.includes('timeout')) {
                            errorMsg = '提交超时，请检查网络连接'
                        } else if (err.errMsg.includes('fail')) {
                            errorMsg = '网络请求失败，请检查网络连接'
                        }
                    }
                    reject(new Error(errorMsg))
                }
            })
        } else {
            // 如果没有音频文件，使用普通POST请求
            return request.post(`/study/voiceEvaluation/submit/${id}`, {})
                .then(resolve)
                .catch(reject)
        }
    })
}

// 保存语音识别评分结果（speech.vue页面使用）
export function saveVoiceScore(content, recognizedText, totalScore, accuracy, completeness, fluency, pronunciation, courseId, resultDetail) {
    const data = {
        content: content,
        recognizedText: recognizedText,
        totalScore: totalScore,
        accuracy: accuracy,
        completeness: completeness,
        fluency: fluency,
        pronunciation: pronunciation,
        resultDetail: resultDetail || ''
    }
    if (courseId) {
        data.courseId = courseId
    }
    return request.post('/study/voiceEvaluation/saveScore', data)
}

// 获取语音评测详情
export function getVoiceEvaluation(id) {
    return request.get(`/study/voiceEvaluation/${id}`, {})
}

// 获取后台发布的语音测评内容列表
export function getVoiceEvaluationContents(params = {}) {
    return request.get('/study/voiceEvaluation/contents', params)
}

// 获取单个语音测评内容详情
export function getVoiceEvaluationContent(id) {
    return request.get(`/study/voiceEvaluation/content/${id}`, {})
}

// 提交语音识别结果并获取评分（本地评分）
export function evaluateSpeechRecognition(originalText, recognizedText) {
    // 这是一个本地评分函数，不需要调用后端
    // 但为了保持API结构一致，这里返回一个Promise
    return new Promise((resolve) => {
        const score = calculateScore(originalText, recognizedText)
        resolve({
            code: 200,
            data: score
        })
    })
}

// 计算评分（本地算法）
function calculateScore(originalText, recognizedText) {
    if (!originalText || !recognizedText) {
        return {
            totalScore: 0,
            accuracy: 0,
            completeness: 0,
            fluency: 0,
            pronunciation: 0,
            details: {
                correctWords: 0,
                totalWords: 0,
                missingWords: [],
                extraWords: [],
                similarity: 0
            }
        }
    }

    // 清理文本：去除标点符号和空格，转为小写
    const cleanOriginal = originalText.replace(/[，。！？、；：""''（）【】\s]/g, '').toLowerCase()
    const cleanRecognized = recognizedText.replace(/[，。！？、；：""''（）【】\s]/g, '').toLowerCase()

    // 计算字符相似度（使用编辑距离算法）
    const similarity = calculateSimilarity(cleanOriginal, cleanRecognized)

    // 使用更宽松的字符匹配（不要求顺序一致）
    const originalChars = cleanOriginal.split('')
    const recognizedChars = cleanRecognized.split('')
    
    // 统计字符出现次数
    const originalCharMap = {}
    const recognizedCharMap = {}
    
    originalChars.forEach(char => {
        originalCharMap[char] = (originalCharMap[char] || 0) + 1
    })
    
    recognizedChars.forEach(char => {
        recognizedCharMap[char] = (recognizedCharMap[char] || 0) + 1
    })
    
    // 计算匹配的字符数（允许顺序不同）
    let matchedChars = 0
    Object.keys(originalCharMap).forEach(char => {
        const originalCount = originalCharMap[char]
        const recognizedCount = recognizedCharMap[char] || 0
        matchedChars += Math.min(originalCount, recognizedCount)
    })
    
    const totalOriginalChars = originalChars.length
    const totalRecognizedChars = recognizedChars.length

    // 计算编辑距离（用于计算错误数）
    const editDistance = calculateEditDistance(cleanOriginal, cleanRecognized)
    const errorCount = editDistance
    const errorRate = totalOriginalChars > 0 ? errorCount / totalOriginalChars : 1

    // 计算准确度（基于匹配字符数，宽松）
    const baseAccuracy = totalOriginalChars > 0 
        ? (matchedChars / totalOriginalChars) * 100
        : 0
    
    // 准确度：有错字时轻微扣分，每个错字扣1分
    const accuracyPenalty = Math.min(errorCount * 1, baseAccuracy * 0.1) // 最多扣10%
    const accuracy = Math.max(0, baseAccuracy - accuracyPenalty)

    // 计算完整度（识别文本长度与原文长度的比例，宽松）
    const completeness = totalOriginalChars > 0
        ? Math.min((totalRecognizedChars / totalOriginalChars) * 100 * 1.1, 100) // 10%容错
        : 0

    // 流畅度（基于相似度，宽松）
    const fluency = Math.min(similarity * 100 * 1.15, 100) // 15%容错

    // 发音分数（基于准确度和相似度的综合，宽松）
    const pronunciation = Math.min((accuracy * 0.7 + similarity * 100 * 0.3) * 1.1, 100) // 10%容错

    // 基础总分（加权平均）
    let totalScore = Math.round(
        accuracy * 0.3 + 
        completeness * 0.25 + 
        fluency * 0.3 + 
        pronunciation * 0.15
    )
    
    // ========== 宽松评分标准 ==========
    // 100分：优秀匹配（相似度>=0.98且错误数<=1）
    if (similarity >= 0.98 && errorCount <= 1) {
        if (errorCount === 0 && similarity >= 0.999) {
            totalScore = 100
        } else {
            // 1个错误但相似度很高，给98-99分
            totalScore = Math.max(98, Math.min(99, 98 + Math.round((similarity - 0.98) * 50)))
        }
    }
    // 90-99分：良好匹配（允许2-4个错误，相似度>=0.90）
    else if (errorCount <= 4 && similarity >= 0.90) {
        if (errorCount <= 1) {
            // 0-1个错误：95-99分
            totalScore = Math.max(95, Math.min(99, 95 + Math.round((similarity - 0.90) * 40)))
        } else if (errorCount === 2) {
            // 2个错误：92-95分
            totalScore = Math.max(92, Math.min(95, 92 + Math.round((similarity - 0.90) * 30)))
        } else {
            // 3-4个错误：90-92分
            totalScore = Math.max(90, Math.min(92, 90 + Math.round((similarity - 0.90) * 20)))
        }
    }
    // 80-89分：较好（允许5-8个错误，相似度>=0.80）
    else if (errorCount <= 8 && similarity >= 0.80) {
        const baseScore = 80
        const penalty = Math.max(0, (errorCount - 4) * 1.5) // 每个错误扣1.5分
        totalScore = Math.max(80, Math.min(89, baseScore - penalty + Math.round((similarity - 0.80) * 30)))
    }
    // 70-79分：一般（允许9-15个错误，相似度>=0.70）
    else if (errorCount <= 15 && similarity >= 0.70) {
        const baseScore = 70
        const penalty = Math.max(0, (errorCount - 8) * 1.2) // 每个错误扣1.2分
        totalScore = Math.max(70, Math.min(79, baseScore - penalty + Math.round((similarity - 0.70) * 30)))
    }
    // 60-69分：及格（允许16-25个错误，相似度>=0.60）
    else if (errorCount <= 25 && similarity >= 0.60) {
        const baseScore = 60
        const penalty = Math.max(0, (errorCount - 15) * 0.8) // 每个错误扣0.8分
        totalScore = Math.max(60, Math.min(69, baseScore - penalty + Math.round((similarity - 0.60) * 30)))
    }
    // 60分以下：需要改进（但给予基础鼓励分）
    else {
        // 根据相似度和错误数计算基础分，但给予最低保障
        const baseScore = Math.max(0, Math.round(similarity * 100 - errorCount * 2)) // 降低扣分力度
        // 如果相似度>=0.50，至少给40分
        if (similarity >= 0.50) {
            totalScore = Math.max(40, Math.min(59, baseScore + 10))
        } else {
            totalScore = Math.max(0, Math.min(59, baseScore))
        }
    }
    
    // 确保分数在0-100范围内
    totalScore = Math.max(0, Math.min(100, totalScore))

    // 找出缺失和多余的字符
    const missingWords = []
    const extraWords = []
    
    Object.keys(originalCharMap).forEach(char => {
        const originalCount = originalCharMap[char]
        const recognizedCount = recognizedCharMap[char] || 0
        if (recognizedCount < originalCount) {
            for (let i = 0; i < originalCount - recognizedCount; i++) {
                missingWords.push(char)
            }
        }
    })
    
    Object.keys(recognizedCharMap).forEach(char => {
        const originalCount = originalCharMap[char] || 0
        const recognizedCount = recognizedCharMap[char]
        if (originalCount < recognizedCount) {
            for (let i = 0; i < recognizedCount - originalCount; i++) {
                extraWords.push(char)
            }
        }
    })

    return {
        totalScore: Math.min(totalScore, 100),
        accuracy: Math.round(Math.min(accuracy, 100)),
        completeness: Math.round(Math.min(completeness, 100)),
        fluency: Math.round(Math.min(fluency, 100)),
        pronunciation: Math.round(Math.min(pronunciation, 100)),
        details: {
            correctChars: matchedChars,
            totalChars: totalOriginalChars,
            recognizedChars: totalRecognizedChars,
            missingWords: [...new Set(missingWords)],
            extraWords: [...new Set(extraWords)],
            similarity: Math.round(similarity * 100)
        }
    }
}

// 计算编辑距离（用于计算错误数）
function calculateEditDistance(str1, str2) {
    if (str1 === str2) return 0
    if (str1.length === 0) return str2.length
    if (str2.length === 0) return str1.length

    const len1 = str1.length
    const len2 = str2.length
    const matrix = []

    // 初始化矩阵
    for (let i = 0; i <= len1; i++) {
        matrix[i] = [i]
    }
    for (let j = 0; j <= len2; j++) {
        matrix[0][j] = j
    }

    // 填充矩阵
    for (let i = 1; i <= len1; i++) {
        for (let j = 1; j <= len2; j++) {
            if (str1[i - 1] === str2[j - 1]) {
                matrix[i][j] = matrix[i - 1][j - 1]
            } else {
                matrix[i][j] = Math.min(
                    matrix[i - 1][j] + 1,     // 删除
                    matrix[i][j - 1] + 1,     // 插入
                    matrix[i - 1][j - 1] + 1  // 替换
                )
            }
        }
    }

    return matrix[len1][len2]
}

// 计算两个字符串的相似度（使用编辑距离算法）
function calculateSimilarity(str1, str2) {
    if (str1 === str2) return 1
    if (str1.length === 0 || str2.length === 0) return 0

    const distance = calculateEditDistance(str1, str2)
    const maxLen = Math.max(str1.length, str2.length)
    return 1 - (distance / maxLen)
}



// 使用AI优化语音识别结果
export function optimizeRecognizedText(recognizedText, originalContent) {
    return request.post('/study/voiceEvaluation/optimizeText', {
        recognizedText: recognizedText,
        originalContent: originalContent
    })
}


// 上传音频文件并进行语音识别（使用后端服务识别，比本地Vosk更准确）
export function uploadAndRecognize(audioFilePath, originalContent) {
    return new Promise((resolve, reject) => {
        const token = uni.getStorageSync('token')
        if (!token) {
            reject(new Error('请先登录'))
            return
        }
        
        // 从文件路径提取格式
        let format = 'pcm' // 默认pcm
        if (audioFilePath) {
            const ext = audioFilePath.substring(audioFilePath.lastIndexOf('.') + 1).toLowerCase()
            if (ext) {
                format = ext
            }
        }
        console.log('上传音频文件:', audioFilePath, '格式:', format)

        const baseURL = request.getBaseURL()
        uni.uploadFile({
            url: baseURL + '/study/voiceEvaluation/uploadAndRecognize',
            filePath: audioFilePath,
            name: 'file',
            timeout: 60000,  // 增加超时时间到60秒（虚拟机网络可能较慢）
            formData: {
                originalContent: originalContent || '',
                format: format  // 添加format参数
            },
            header: {
                'Authorization': 'Bearer ' + token
            },
            success: (res) => {
                try {
                    const data = JSON.parse(res.data)
                    if (data.code === 200) {
                        resolve(data)
                    } else {
                        if (data.code === 401) {
                            uni.removeStorageSync('token')
                            uni.removeStorageSync('userInfo')
                            uni.reLaunch({
                                url: '/pages/login/login'
                            })
                            reject(new Error('登录已过期，请重新登录'))
                        } else {
                            reject(new Error(data.msg || '识别失败'))
                        }
                    }
                } catch (e) {
                    console.error('解析响应数据失败', e, res.data)
                    reject(new Error('解析响应数据失败：' + e.message))
                }
            },
            fail: (err) => {
                console.error('上传失败', err)
                let errorMsg = '上传失败'
                if (err.errMsg) {
                    if (err.errMsg.includes('timeout')) {
                        errorMsg = '上传超时，请检查网络连接'
                    } else if (err.errMsg.includes('fail')) {
                        errorMsg = '网络请求失败，请检查网络连接'
                    }
                }
                reject(new Error(errorMsg))
            }
        })
    })
}