feat: 重构项目以符合 Go 规范,添加 OpenAI 接口适配,优化长文本朗读功能(切割后合并)

This commit is contained in:
王锦强
2025-03-09 13:02:28 +08:00
parent 539f6d9ef5
commit 8f2fd68ebe
31 changed files with 2487 additions and 647 deletions

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package handlers
import (
"html/template"
"net/http"
"path/filepath"
"tts/internal/config"
)
// PagesHandler 处理页面请求
type PagesHandler struct {
templates *template.Template
config *config.Config
}
// NewPagesHandler 创建一个新的页面处理器
func NewPagesHandler(templatesDir string, cfg *config.Config) (*PagesHandler, error) {
// 解析所有模板文件
templates, err := template.ParseGlob(filepath.Join(templatesDir, "*.html"))
if err != nil {
return nil, err
}
return &PagesHandler{
templates: templates,
config: cfg,
}, nil
}
// HandleIndex 处理首页请求
func (h *PagesHandler) HandleIndex(w http.ResponseWriter, r *http.Request) {
// 如果不是根路径返回404
if r.URL.Path != "/" && r.URL.Path != "/index.html" {
http.NotFound(w, r)
return
}
// 准备模板数据
data := map[string]interface{}{
"BasePath": h.config.Server.BasePath,
"DefaultVoice": h.config.TTS.DefaultVoice,
"DefaultRate": h.config.TTS.DefaultRate,
"DefaultPitch": h.config.TTS.DefaultPitch,
}
// 设置内容类型
w.Header().Set("Content-Type", "text/html; charset=utf-8")
// 渲染模板
if err := h.templates.ExecuteTemplate(w, "index.html", data); err != nil {
http.Error(w, "模板渲染失败: "+err.Error(), http.StatusInternalServerError)
return
}
}
// HandleAPIDoc 处理API文档请求
func (h *PagesHandler) HandleAPIDoc(w http.ResponseWriter, r *http.Request) {
// 准备模板数据
data := map[string]interface{}{
"BasePath": h.config.Server.BasePath,
"DefaultVoice": h.config.TTS.DefaultVoice,
"DefaultRate": h.config.TTS.DefaultRate,
"DefaultPitch": h.config.TTS.DefaultPitch,
"DefaultFormat": h.config.TTS.DefaultFormat,
}
// 设置内容类型
w.Header().Set("Content-Type", "text/html; charset=utf-8")
// 渲染模板
if err := h.templates.ExecuteTemplate(w, "api-doc.html", data); err != nil {
http.Error(w, "模板渲染失败: "+err.Error(), http.StatusInternalServerError)
return
}
}

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package handlers
import (
"encoding/json"
"fmt"
"log"
"net/http"
"os"
"os/exec"
"path/filepath"
"strings"
"sync"
"time"
"tts/internal/config"
"tts/internal/models"
"tts/internal/tts"
"unicode/utf8"
)
// TTSHandler 处理TTS请求
type TTSHandler struct {
ttsService tts.Service
config *config.Config
}
// NewTTSHandler 创建一个新的TTS处理器
func NewTTSHandler(service tts.Service, cfg *config.Config) *TTSHandler {
return &TTSHandler{
ttsService: service,
config: cfg,
}
}
// HandleOpenAITTS 处理OpenAI兼容的TTS请求
func (h *TTSHandler) HandleOpenAITTS(w http.ResponseWriter, r *http.Request) {
// 记录请求开始时间
startTime := time.Now()
// 只支持POST请求
if r.Method != http.MethodPost {
http.Error(w, "仅支持POST请求", http.StatusMethodNotAllowed)
return
}
// 解析请求
var openaiReq struct {
Model string `json:"model"`
Input string `json:"input"`
Voice string `json:"voice"`
Speed float64 `json:"speed"`
}
if err := json.NewDecoder(r.Body).Decode(&openaiReq); err != nil {
http.Error(w, "无效的JSON请求: "+err.Error(), http.StatusBadRequest)
return
}
// 记录解析时间
parseTime := time.Since(startTime)
// 检查必需字段
if openaiReq.Input == "" {
http.Error(w, "input字段不能为空", http.StatusBadRequest)
return
}
// 映射OpenAI声音到Microsoft声音
msVoice := h.config.TTS.DefaultVoice
if openaiReq.Voice != "" {
// 检查是否有配置映射
if mappedVoice, exists := h.config.TTS.VoiceMapping[openaiReq.Voice]; exists {
msVoice = mappedVoice
}
}
// 转换速度参数到微软格式
msRate := h.config.TTS.DefaultRate
if openaiReq.Speed != 0 {
// OpenAI速度转换为微软速度格式
// OpenAI: 0.5(慢速), 1.0(正常), 2.0(快速)
// 微软: "-50%"(慢), "+0%"(中), "+100%"(快)
speedPercentage := (openaiReq.Speed - 1.0) * 100
if speedPercentage >= 0 {
msRate = fmt.Sprintf("+%.0f", speedPercentage)
} else {
msRate = fmt.Sprintf("%.0f", speedPercentage)
}
}
// 创建内部TTS请求
req := models.TTSRequest{
Text: openaiReq.Input,
Voice: msVoice,
Rate: msRate,
Pitch: h.config.TTS.DefaultPitch,
}
log.Printf("OpenAI TTS请求: model=%s, voice=%s → %s, speed=%.2f → %s, 文本长度=%d",
openaiReq.Model, openaiReq.Voice, msVoice, openaiReq.Speed, msRate, len(req.Text))
// 检查文本长度
if len(req.Text) > h.config.TTS.MaxTextLength {
http.Error(w, "文本长度超过限制", http.StatusBadRequest)
return
}
// 检查是否需要分段处理
segmentThreshold := h.config.TTS.SegmentThreshold
if len(req.Text) > segmentThreshold && len(req.Text) <= h.config.TTS.MaxTextLength {
log.Printf("文本长度 %d 超过阈值 %d使用分段处理", len(req.Text), segmentThreshold)
// 使用分段处理
h.handleSegmentedTTS(w, r, req)
return
}
// 非流式模式处理
synthStart := time.Now()
resp, err := h.ttsService.SynthesizeSpeech(r.Context(), req)
synthTime := time.Since(synthStart)
log.Printf("TTS合成耗时: %v, 文本长度: %d", synthTime, len(req.Text))
if err != nil {
http.Error(w, "语音合成失败: "+err.Error(), http.StatusInternalServerError)
return
}
// 设置响应
w.Header().Set("Content-Type", "audio/mpeg")
writeStart := time.Now()
w.Write(resp.AudioContent)
writeTime := time.Since(writeStart)
// 记录总耗时
totalTime := time.Since(startTime)
log.Printf("OpenAI TTS请求总耗时: %v (解析: %v, 合成: %v, 写入: %v), 音频大小: %s",
totalTime, parseTime, synthTime, writeTime, formatFileSize(len(resp.AudioContent)))
}
// HandleTTS 处理TTS请求
func (h *TTSHandler) HandleTTS(w http.ResponseWriter, r *http.Request) {
// 记录请求开始时间
startTime := time.Now()
// 解析请求参数
var req models.TTSRequest
switch r.Method {
case http.MethodGet:
// 从URL参数获取
q := r.URL.Query()
req = models.TTSRequest{
Text: q.Get("t"),
Voice: q.Get("v"),
Rate: q.Get("r"),
Pitch: q.Get("p"),
}
case http.MethodPost:
// 从POST JSON体获取
if r.Header.Get("Content-Type") == "application/json" {
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
log.Printf("JSON解析错误: %v", err)
http.Error(w, "无效的JSON请求", http.StatusBadRequest)
return
}
} else {
// 表单数据
if err := r.ParseForm(); err != nil {
log.Printf("表单解析错误: %v", err)
http.Error(w, "无法解析表单数据", http.StatusBadRequest)
return
}
req = models.TTSRequest{
Text: r.FormValue("text"),
Voice: r.FormValue("voice"),
Rate: r.FormValue("rate"),
Pitch: r.FormValue("pitch"),
}
}
default:
log.Printf("不支持的HTTP方法: %s", r.Method)
http.Error(w, "仅支持GET和POST请求", http.StatusMethodNotAllowed)
return
}
// 记录参数解析耗时
parseTime := time.Since(startTime)
log.Printf("请求参数解析耗时: %v", parseTime)
// 验证必要参数
if req.Text == "" {
log.Print("错误: 未提供文本参数")
http.Error(w, "必须提供文本参数", http.StatusBadRequest)
return
}
// 使用默认值填充空白参数
if req.Voice == "" {
req.Voice = h.config.TTS.DefaultVoice
}
if req.Rate == "" {
req.Rate = h.config.TTS.DefaultRate
}
if req.Pitch == "" {
req.Pitch = h.config.TTS.DefaultPitch
}
// 检查文本长度
if len(req.Text) > h.config.TTS.MaxTextLength {
http.Error(w, "文本长度超过限制", http.StatusBadRequest)
return
}
// 检查是否需要分段处理
segmentThreshold := h.config.TTS.SegmentThreshold
if len(req.Text) > segmentThreshold && len(req.Text) <= h.config.TTS.MaxTextLength {
log.Printf("文本长度 %d 超过阈值 %d使用分段处理", len(req.Text), segmentThreshold)
// 如果文本长度超过阈值但小于最大限制,使用分段处理
h.handleSegmentedTTS(w, r, req)
return
}
// 非流式模式处理(保持原有逻辑)
synthStart := time.Now()
resp, err := h.ttsService.SynthesizeSpeech(r.Context(), req)
synthTime := time.Since(synthStart)
log.Printf("TTS合成耗时: %v, 文本长度: %d", synthTime, len(req.Text))
if err != nil {
http.Error(w, "语音合成失败: "+err.Error(), http.StatusInternalServerError)
return
}
// 设置响应
w.Header().Set("Content-Type", "audio/mpeg")
writeStart := time.Now()
w.Write(resp.AudioContent)
writeTime := time.Since(writeStart)
// 记录总耗时
totalTime := time.Since(startTime)
log.Printf("TTS请求总耗时: %v (解析: %v, 合成: %v, 写入: %v), 音频大小: %s",
totalTime, parseTime, synthTime, writeTime, formatFileSize(len(resp.AudioContent)))
}
// handleSegmentedTTS 处理长文本的分段TTS请求
func (h *TTSHandler) handleSegmentedTTS(w http.ResponseWriter, r *http.Request, req models.TTSRequest) {
segmentStart := time.Now() // 分段处理开始时间
text := req.Text
// 开始计时:分割文本
splitStart := time.Now()
// 按句子分段处理
sentences := splitTextBySentences(text)
segmentCount := len(sentences)
splitTime := time.Since(splitStart)
log.Printf("分割文本耗时: %v, 文本总长度: %d, 分段数: %d, 平均句子长度: %.2f",
splitTime, len(text), segmentCount, float64(len(text))/float64(segmentCount))
// 创建用于存储每段音频的切片
results := make([][]byte, segmentCount)
errChan := make(chan error, segmentCount)
var wg sync.WaitGroup
// 限制并发数量避免创建过多goroutine
maxConcurrent := h.config.TTS.MaxConcurrent
semaphore := make(chan struct{}, maxConcurrent)
// 用于记录每个分段处理的时间
segmentTimes := make([]time.Duration, segmentCount)
// 合成阶段开始时间
synthesisStart := time.Now()
// 并发处理每一个句子
for i := 0; i < segmentCount; i++ {
wg.Add(1)
semaphore <- struct{}{} // 获取信号量
go func(index int) {
defer wg.Done()
defer func() { <-semaphore }() // 释放信号量
// 创建该句的请求
segReq := models.TTSRequest{
Text: sentences[index],
Voice: req.Voice,
Rate: req.Rate,
Pitch: req.Pitch,
}
log.Printf("开始处理句子 #%d: 长度=%d, 内容='%s'",
index+1,
utf8.RuneCountInString(sentences[index]),
truncateForLog(sentences[index], 20))
// 记录该段合成开始时间
segStart := time.Now()
// 合成该段音频
resp, err := h.ttsService.SynthesizeSpeech(r.Context(), segReq)
// 记录该段合成耗时
segTime := time.Since(segStart)
segmentTimes[index] = segTime
if err != nil {
log.Printf("句子 #%d 合成失败,耗时: %v, 错误: %v", index+1, segTime, err)
select {
case errChan <- fmt.Errorf("句子 %d 合成失败: %w", index+1, err):
default:
// 已经有错误了,忽略
}
return
}
log.Printf("句子 #%d 合成成功:长度=%d, 耗时=%v, 音频大小=%s",
index+1, utf8.RuneCountInString(sentences[index]), segTime, formatFileSize(len(resp.AudioContent)))
// 存储该段结果
results[index] = resp.AudioContent
}(i)
}
// 等待所有goroutine完成
wg.Wait()
close(errChan)
// 记录所有分段合成总耗时
synthesisTime := time.Since(synthesisStart)
log.Printf("所有分段合成总耗时: %v, 平均每段耗时: %v",
synthesisTime, synthesisTime/time.Duration(segmentCount))
// 检查是否有错误发生
if err := <-errChan; err != nil {
http.Error(w, "语音合成失败: "+err.Error(), http.StatusInternalServerError)
return
}
// 记录写入开始时间
writeStart := time.Now()
var audioData []byte
var err error
audioData, err = audioMerge(results)
if err != nil {
log.Printf("合并音频失败: %v", err)
http.Error(w, "音频合并失败: "+err.Error(), http.StatusInternalServerError)
return
}
// 设置响应内容类型
w.Header().Set("Content-Type", "audio/mpeg")
// 写入合并后的音频数据
totalSize := len(audioData)
if _, writeErr := w.Write(audioData); writeErr != nil {
log.Printf("写入响应失败: %v", writeErr)
}
// 记录写入耗时
writeTime := time.Since(writeStart)
// 记录总耗时
totalTime := time.Since(segmentStart)
log.Printf("分段TTS请求总耗时: %v (分割: %v, 合成: %v, 写入: %v), 总音频大小: %s",
totalTime, splitTime, synthesisTime, writeTime, formatFileSize(totalSize))
}
// splitTextBySentences 将文本按句子分割
func splitTextBySentences(text string) []string {
// 定义句子结束的标点符号
sentenceEnders := []string{"。", "", "", "…", ".", "!", "?", "…", "\n"}
// 如果文本过短,直接作为一个句子返回
if utf8.RuneCountInString(text) < 100 {
return []string{text}
}
var sentences []string
var currentSentence strings.Builder
maxSentenceLength := config.Get().TTS.MaxSentenceLength // 设置单个句子的最大长度,避免过长句子
runeCount := 0 // 当前句子的实际字符数量
for _, char := range text {
currentSentence.WriteRune(char)
runeCount++
// 检查是否到达句子结束标点
lastChar := string(char)
isSentenceEnder := false
for _, ender := range sentenceEnders {
if lastChar == ender {
isSentenceEnder = true
break
}
}
// 判断是否结束一个句子 - 使用字符数量而非字节长度
if isSentenceEnder || runeCount >= maxSentenceLength {
// 添加当前句子到结果中
sentence := currentSentence.String()
if len(sentence) > 0 {
sentences = append(sentences, sentence)
}
currentSentence.Reset() // 重置构建器
runeCount = 0 // 重置字符计数器
}
}
// 处理可能的最后一个句子
if currentSentence.Len() > 0 {
lastSentence := currentSentence.String()
sentences = append(sentences, lastSentence)
}
// 合并过短的句子
minSentenceLength := config.Get().TTS.MinSentenceLength // 设置最小句子长度阈值
if len(sentences) > 1 {
mergedSentences := []string{}
var currentMerged strings.Builder
currentMergedLength := 0
for i, sentence := range sentences {
sentenceLength := utf8.RuneCountInString(sentence)
// 如果当前句子太短,且不是最后一个,考虑合并
if sentenceLength < minSentenceLength && i < len(sentences)-1 {
// 检查合并后是否会超过最大长度
if currentMergedLength+sentenceLength > maxSentenceLength {
// 合并后会超长,先保存当前内容
if currentMerged.Len() > 0 {
mergedSentences = append(mergedSentences, currentMerged.String())
currentMerged.Reset()
currentMergedLength = 0
}
}
// 当前句子过短,添加到合并缓冲区
currentMerged.WriteString(sentence)
currentMergedLength += sentenceLength
} else {
// 句子足够长或是最后一句
if currentMerged.Len() > 0 {
// 检查合并后是否会超过最大长度
if currentMergedLength+sentenceLength <= maxSentenceLength {
// 有待合并的内容,将当前句子也合并进去
currentMerged.WriteString(sentence)
mergedSentence := currentMerged.String()
mergedSentences = append(mergedSentences, mergedSentence)
} else {
// 合并后会超长,分别添加
mergedSentence := currentMerged.String()
mergedSentences = append(mergedSentences, mergedSentence)
mergedSentences = append(mergedSentences, sentence)
}
currentMerged.Reset()
currentMergedLength = 0
} else {
// 没有待合并内容,直接添加当前句子
mergedSentences = append(mergedSentences, sentence)
}
}
}
// 处理可能剩余的合并内容
if currentMerged.Len() > 0 {
mergedSentence := currentMerged.String()
mergedSentences = append(mergedSentences, mergedSentence)
log.Printf("添加最后剩余的合并句子,长度=%d", utf8.RuneCountInString(mergedSentence))
}
return mergedSentences
}
return sentences
}
// truncateForLog 截断文本用于日志显示,同时显示开头和结尾
func truncateForLog(text string, maxLength int) string {
// 先去除换行符
text = strings.ReplaceAll(text, "\n", " ")
text = strings.ReplaceAll(text, "\r", " ")
runes := []rune(text)
if len(runes) <= maxLength {
return text
}
// 计算开头和结尾各显示多少字符
halfLength := maxLength / 2
return string(runes[:halfLength]) + "..." + string(runes[len(runes)-halfLength:])
}
// audioMerge 音频合并
func audioMerge(audioSegments [][]byte) ([]byte, error) {
if len(audioSegments) == 0 {
return nil, fmt.Errorf("没有音频片段可合并")
}
// 使用 ffmpeg 合并音频
tempDir, err := os.MkdirTemp("", "audio_merge_")
if err != nil {
return nil, err
}
defer os.RemoveAll(tempDir)
listFile := filepath.Join(tempDir, "concat.txt")
lf, err := os.Create(listFile)
if err != nil {
return nil, err
}
for i, seg := range audioSegments {
segFile := filepath.Join(tempDir, fmt.Sprintf("seg_%d.mp3", i))
if err := os.WriteFile(segFile, seg, 0644); err != nil {
return nil, err
}
if _, err := lf.WriteString(fmt.Sprintf("file '%s'\n", segFile)); err != nil {
return nil, err
}
}
lf.Close()
outputFile := filepath.Join(tempDir, "output.mp3")
cmd := exec.Command("ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", listFile, "-c", "copy", outputFile)
if err := cmd.Run(); err != nil {
return nil, err
}
mergedData, err := os.ReadFile(outputFile)
if err != nil {
return nil, err
}
log.Printf("使用ffmpeg合并完成总大小: %s", formatFileSize(len(mergedData)))
return mergedData, nil
}
// formatFileSize 格式化文件大小
func formatFileSize(size int) string {
switch {
case size < 1024:
return fmt.Sprintf("%d B", size)
case size < 1024*1024:
return fmt.Sprintf("%.2f KB", float64(size)/1024.0)
case size < 1024*1024*1024:
return fmt.Sprintf("%.2f MB", float64(size)/(1024.0*1024.0))
default:
return fmt.Sprintf("%.2f GB", float64(size)/(1024.0*1024.0*1024.0))
}
}

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package handlers
import (
"encoding/json"
"net/http"
"tts/internal/tts"
)
// VoicesHandler 处理语音列表请求
type VoicesHandler struct {
ttsService tts.Service
}
// NewVoicesHandler 创建一个新的语音列表处理器
func NewVoicesHandler(service tts.Service) *VoicesHandler {
return &VoicesHandler{
ttsService: service,
}
}
// HandleVoices 处理语音列表请求
func (h *VoicesHandler) HandleVoices(w http.ResponseWriter, r *http.Request) {
// 从查询参数中获取语言筛选
locale := r.URL.Query().Get("locale")
// 获取语音列表
voices, err := h.ttsService.ListVoices(r.Context(), locale)
if err != nil {
http.Error(w, "获取语音列表失败: "+err.Error(), http.StatusInternalServerError)
return
}
// 设置内容类型
w.Header().Set("Content-Type", "application/json")
// 编码为JSON并返回
if err := json.NewEncoder(w).Encode(voices); err != nil {
http.Error(w, "JSON编码失败", http.StatusInternalServerError)
return
}
}