1

scripts/nodejs/pipeline_native.js

@@ -274,6 +274,80 @@ async function fetchJson(url, options = {}) {
   return data;
 }
 
+async function fetchArrayBuffer(url, options = {}) {
+  const res = await fetch(url, options);
+  if (!res.ok) {
+    const text = await res.text().catch(() => "");
+    throw new Error(`HTTP ${res.status}: ${text.slice(0, 300)}`);
+  }
+  return Buffer.from(await res.arrayBuffer());
+}
+
+const QWEN_TTS_URL =
+  "https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation";
+
+/** 对齐 Electron Ka：根据 voiceId 选择 TTS 模型 */
+function resolveTtsModel(voiceId) {
+  const v = String(voiceId || "").trim();
+  if (!v || v === "Cherry") return "qwen3-tts-flash";
+  if (v.startsWith("qwen-tts-vc-")) return "qwen3-tts-vc-2026-01-22";
+  return "qwen3-tts-flash";
+}
+
+/**
+ * 通义千问 TTS 合成（对齐 Electron synthesizeOneSegment）
+ * @param {{ apiKey: string, text: string, voice: string, model?: string, instruction?: string, outputPath: string }} opts
+ */
+async function qwenTtsSynthesize(opts) {
+  const apiKey = opts.apiKey;
+  const text = String(opts.text || "").trim();
+  const voice = String(opts.voice || "").trim();
+  const outputPath = opts.outputPath;
+  const model = opts.model || resolveTtsModel(voice);
+  const instruction = String(opts.instruction || "").trim();
+
+  if (!apiKey) return { success: false, error: "缺少 DashScope apiKey" };
+  if (!text) return { success: false, error: "缺少合成文本" };
+  if (!voice) return { success: false, error: "缺少 voice" };
+  if (!outputPath) return { success: false, error: "缺少 outputPath" };
+
+  try {
+    const data = await fetchJson(QWEN_TTS_URL, {
+      method: "POST",
+      headers: {
+        Authorization: `Bearer ${apiKey}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        model,
+        input: {
+          text,
+          voice,
+          ...(instruction
+            ? { instructions: instruction, optimize_instructions: true }
+            : {}),
+        },
+      }),
+    });
+
+    const audioUrl = data?.output?.audio?.url;
+    if (!audioUrl) {
+      return {
+        success: false,
+        error: data?.message || data?.code || "未获取到音频 URL",
+      };
+    }
+
+    const buf = await fetchArrayBuffer(audioUrl);
+    fs.mkdirSync(path.dirname(outputPath), { recursive: true });
+    fs.writeFileSync(outputPath, buf);
+    log("info", "qwen tts saved", { outputPath, voice, model });
+    return { success: true, audioPath: outputPath };
+  } catch (e) {
+    return { success: false, error: e.message || String(e) };
+  }
+}
+
 async function aliyunAsrFiletrans(audioUrl, opts) {
   const apiKey = opts.apiKey || opts.api_key;
   const model = opts.model || "qwen3-asr-flash-filetrans";
@@ -454,4 +528,6 @@ module.exports = {
   aliyunAsrFiletrans,
   localAsr,
   openaiChat,
+  resolveTtsModel,
+  qwenTtsSynthesize,
 };