1

scripts/nodejs/douyin_pipeline.js

@@ -13,8 +13,24 @@ const { VideoRewriteOptimizer } = require("./video_rewrite_optimizer.js");
 const pipelineNative = require("./pipeline_native.js");
 const desktopConfig = require("./desktop_config.js");
 
-const log = (level, msg, fields) =>
-  globalThis.__native.log(level, msg, fields == null ? null : fields);
+/**
+ * Tauri 子进程内请用 __native.log（stderr __EVT__ → Rust → nodejs:event）。
+ * console.* 被管道接管，不会出现在 tauri dev 终端；仅在没有 __native 时回退到控制台。
+ */
+const log = (level, msg, fields) => {
+  if (globalThis.__native?.log) {
+    globalThis.__native.log(level, msg, fields == null ? null : fields);
+    return;
+  }
+  const tag = `[pipeline.${level}] ${msg}`;
+  if (fields != null) {
+    if (level === "error") console.error(tag, fields);
+    else if (level === "warn") console.warn(tag, fields);
+    else console.log(tag, fields);
+  } else if (level === "error") console.error(tag);
+  else if (level === "warn") console.warn(tag);
+  else console.log(tag);
+};
 const progress = (s) => {
   try {
     globalThis.__native.emitProgress(s);
@@ -120,7 +136,7 @@ async function processDouyinShareComplete(
           error: `音频上传失败: ${upload?.error || "unknown"}`,
         };
       }
-      log("info", "pipeline.ossOk", { audioUrl: upload.url.slice(0, 80) });
+      log("info", "pipeline.ossOk", { audioUrl: upload.url });
 
       progress("音频上传完成，正在识别文案（在线模式）...");
       const asr = await pipelineNative.aliyunAsrFiletrans(upload.url, {

scripts/nodejs/pipeline_native.js

@@ -15,6 +15,28 @@ const http = require("http");
 const TEMP_DIR = path.join(os.tmpdir(), "aiclient-node-pipeline");
 fs.mkdirSync(TEMP_DIR, { recursive: true });
 
+/** Tauri 子进程优先 __native.log；独立 node 调试时回退 console */
+function log(level, msg, fields) {
+  const payload =
+    fields == null
+      ? null
+      : typeof fields === "object" && !Array.isArray(fields)
+        ? fields
+        : { value: fields };
+  if (globalThis.__native?.log) {
+    globalThis.__native.log(level, msg, payload);
+    return;
+  }
+  const tag = `[pipeline_native.${level}] ${msg}`;
+  if (payload != null) {
+    if (level === "error") console.error(tag, payload);
+    else if (level === "warn") console.warn(tag, payload);
+    else console.log(tag, payload);
+  } else if (level === "error") console.error(tag);
+  else if (level === "warn") console.warn(tag);
+  else console.log(tag);
+}
+
 function sleep(ms) {
   return new Promise((r) => setTimeout(r, ms));
 }
@@ -207,6 +229,9 @@ async function fetchJson(url, options = {}) {
 async function aliyunAsrFiletrans(audioUrl, opts) {
   const apiKey = opts.apiKey || opts.api_key;
   const model = opts.model || "qwen3-asr-flash-filetrans";
+  log("info", "apiKey",apiKey);
+  log("info", "model",model);
+  log("info", "audioUrl",audioUrl);
   if (!apiKey) {
     return { success: false, error: "缺少 DashScope apiKey" };
   }
@@ -222,7 +247,12 @@ async function aliyunAsrFiletrans(audioUrl, opts) {
       body: JSON.stringify({
         model,
         input: { file_urls: [audioUrl] },
-        parameters: {},
+        parameters: {
+          channel_id: [0],
+          // 音频通道ID
+          enable_itn: false
+          // 是否启用逆文本归一化
+        }
       }),
     }
   );
@@ -230,7 +260,7 @@ async function aliyunAsrFiletrans(audioUrl, opts) {
   if (!taskId) {
     return { success: false, error: `ASR 提交失败: ${JSON.stringify(submit).slice(0, 200)}` };
   }
-
+  log("info", "voice recognition taskId",taskId);
   for (let i = 0; i < 60; i++) {
     await sleep(5000);
     const poll = await fetchJson(
@@ -238,9 +268,11 @@ async function aliyunAsrFiletrans(audioUrl, opts) {
       { headers: { Authorization: `Bearer ${apiKey}` } }
     );
     const status = poll?.output?.task_status;
+    log("info", "voice recognition status",status);
     if (status === "SUCCEEDED") {
       const transUrl = poll?.output?.results?.[0]?.transcription_url;
       if (!transUrl) {
+        log("error", "voice recognition transUrl",transUrl);
         return { success: false, error: "ASR 成功但无 transcription_url" };
       }
       const trans = await fetchJson(transUrl);