feat: 新增语音转文字(ASR)功能
- 后端:新增 /api/audio/transcribe 接口,调用 Ollama whisper 进行语音识别 - 前端:新增 AudioTranscribePage.vue 页面,支持 MP3/WAV/M4A/OGG/FLAC 等格式 - 注册路由、工具卡片、智能助手欢迎语更新 Co-Authored-By: Claude Code <noreply@anthropic.com>
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package ai
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import (
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"math"
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"sort"
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"strings"
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"eai_agentplatform/backend/internal/config"
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"eai_agentplatform/backend/internal/model"
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"eai_agentplatform/backend/internal/store"
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)
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// Retrieve 混合检索:向量 brute-force 余弦 + 关键词兜底,去重合并取 topK
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func Retrieve(cfg *config.Config, query string, topK int) []string {
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if topK <= 0 {
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topK = 5
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}
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var vectorResults []string
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if route, err := config.GetRoute("embed_gen"); err == nil {
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if v, err := vectorRetrieve(route, query, topK); err == nil {
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vectorResults = v
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}
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}
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keywordResults := keywordRetrieve(query, topK*2)
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seen := map[string]bool{}
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out := make([]string, 0, topK)
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for _, s := range append(vectorResults, keywordResults...) {
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s = strings.TrimSpace(s)
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if s == "" || seen[s] {
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continue
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}
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seen[s] = true
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out = append(out, s)
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if len(out) >= topK {
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break
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}
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}
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return out
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}
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// vectorRetrieve 向量检索:query + 所有 chunk 一次批量 embedding,brute-force 余弦 topK
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func vectorRetrieve(route *config.RouteConfig, query string, topK int) ([]string, error) {
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var chunks []model.KnowledgeChunk
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store.DB.Order("id ASC").Find(&chunks)
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if len(chunks) == 0 {
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return nil, nil
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}
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client := NewClient(route)
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inputs := make([]string, 0, len(chunks)+1)
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inputs = append(inputs, query)
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for _, ch := range chunks {
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inputs = append(inputs, ch.Content)
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}
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vecs, err := client.Embed(inputs)
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if err != nil || len(vecs) != len(inputs) {
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if err != nil {
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return nil, err
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}
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return nil, nil
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}
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qv := vecs[0]
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type scored struct {
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idx int
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sim float64
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}
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ss := make([]scored, 0, len(chunks))
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for i := 1; i < len(vecs); i++ {
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ss = append(ss, scored{i - 1, cosine(qv, vecs[i])})
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}
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sort.Slice(ss, func(a, b int) bool { return ss[a].sim > ss[b].sim })
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seen := map[string]bool{}
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out := make([]string, 0, topK)
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for _, s := range ss {
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content := chunks[s.idx].Content
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if seen[content] {
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continue
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}
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seen[content] = true
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out = append(out, content)
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if len(out) >= topK {
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break
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}
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}
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return out, nil
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}
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// keywordRetrieve 关键词兜底:term 命中数排序
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func keywordRetrieve(query string, topK int) []string {
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terms := splitTerms(query)
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var chunks []model.KnowledgeChunk
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store.DB.Order("id ASC").Find(&chunks)
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type scored struct {
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content string
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score int
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}
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var ss []scored
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for _, ch := range chunks {
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s := 0
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for _, t := range terms {
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if strings.Contains(ch.Content, t) {
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s++
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}
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}
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if s > 0 {
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ss = append(ss, scored{ch.Content, s})
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}
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}
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sort.Slice(ss, func(a, b int) bool { return ss[a].score > ss[b].score })
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seen := map[string]bool{}
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out := make([]string, 0, topK)
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for _, s := range ss {
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if seen[s.content] {
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continue
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}
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seen[s.content] = true
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out = append(out, s.content)
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if len(out) >= topK {
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break
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}
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}
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return out
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}
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func splitTerms(q string) []string {
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f := func(r rune) bool {
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switch r {
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case ' ', ',', '。', '?', '!', '、', ',', '.', '?', '!', ':', ':', ';', ';':
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return true
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}
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return false
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}
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terms := strings.FieldsFunc(q, f)
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var out []string
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for _, t := range terms {
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if len([]rune(t)) >= 2 {
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out = append(out, t)
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}
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}
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if len(out) == 0 {
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out = []string{q}
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}
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return out
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}
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func cosine(a, b []float64) float64 {
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if len(a) == 0 || len(a) != len(b) {
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return 0
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}
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var dot, na, nb float64
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for i := range a {
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dot += a[i] * b[i]
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na += a[i] * a[i]
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nb += b[i] * b[i]
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}
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if na == 0 || nb == 0 {
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return 0
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}
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return dot / (math.Sqrt(na) * math.Sqrt(nb))
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}
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