1

.env.example

@@ -25,3 +25,5 @@ CORS_ORIGINS=http://localhost:1420,tauri://localhost
 # 桌面端配置写入 MySQL 表 desktop_configs（name / value），非本文件环境变量。
 # 登录后 GET /api/v1/appConfig 返回全部键值；Tauri 注入 Node 环境变量 AICLIENT_CFG_<NAME>。
 # 示例键名：LLM_API_KEY、LLM_API_URL、LLM_MODEL_ID、ASR_MODE、DASHSCOPE_API_KEY、OSS_CONFIG（JSON）等。
+# 口播视频：VIDEO_GEN_MODE=online|local|gradio；online 时需 RUNNINGHUB_API_KEY、RUNNINGHUB_WORKFLOW_ID；
+# 可选 RUNNINGHUB_BASE_URL、RUNNINGHUB_INSTANCE_TYPE、RUNNINGHUB_NODES（JSON）。

scripts/nodejs/digital_human_generate.js

@@ -0,0 +1,155 @@
+"use strict";
+
+/**
+ * 口播视频生成：调用 Gradio 数字人 API（对齐 Electron compshare:digitalHumanProcess）
+ */
+
+const fs = require("fs");
+const path = require("path");
+const os = require("os");
+const { spawn } = require("child_process");
+const desktopConfig = require("./desktop_config.js");
+
+const TEMP_DIR = path.join(os.tmpdir(), "aiclient-digital-human");
+
+function downloadFile(url, destPath) {
+  return new Promise((resolve, reject) => {
+    const client = url.startsWith("https") ? require("https") : require("http");
+    const file = fs.createWriteStream(destPath);
+    client
+      .get(url, (res) => {
+        if (res.statusCode && res.statusCode >= 300 && res.statusCode < 400 && res.headers.location) {
+          file.close();
+          return downloadFile(res.headers.location, destPath).then(resolve).catch(reject);
+        }
+        if (res.statusCode !== 200) {
+          reject(new Error(`下载失败 HTTP ${res.statusCode}`));
+          return;
+        }
+        res.pipe(file);
+        file.on("finish", () => file.close(() => resolve(destPath)));
+      })
+      .on("error", reject);
+  });
+}
+
+async function ensureLocalVideo(videoPath) {
+  const raw = String(videoPath || "").trim();
+  if (!raw) throw new Error("视频路径为空");
+  if (/^https?:\/\//i.test(raw)) {
+    fs.mkdirSync(TEMP_DIR, { recursive: true });
+    const ext = raw.includes(".mp4") ? ".mp4" : ".mp4";
+    const dest = path.join(TEMP_DIR, `remote_${Date.now()}${ext}`);
+    await downloadFile(raw, dest);
+    return dest;
+  }
+  if (raw.startsWith("file://")) {
+    return raw.replace(/^file:\/\//, "");
+  }
+  return raw;
+}
+
+function runPythonDigitalHuman(apiUrl, audioFile, videoFile) {
+  const scriptPath = path.join(__dirname, "digital_human_process.py");
+  const py = process.env.AICLIENT_PYTHON || (process.platform === "win32" ? "python" : "python3");
+
+  return new Promise((resolve) => {
+    const child = spawn(py, [scriptPath, apiUrl, audioFile, videoFile], {
+      cwd: __dirname,
+      env: process.env,
+      windowsHide: true,
+    });
+    let stdout = "";
+    let stderr = "";
+    child.stdout.on("data", (d) => {
+      stdout += d.toString();
+    });
+    child.stderr.on("data", (d) => {
+      stderr += d.toString();
+    });
+    child.on("error", (err) => {
+      resolve({ success: false, error: err.message });
+    });
+    const timer = setTimeout(() => {
+      child.kill();
+      resolve({ success: false, error: "数字人处理超时（10 分钟）" });
+    }, 600000);
+    child.on("close", (code) => {
+      clearTimeout(timer);
+      if (code !== 0 || !stdout.trim()) {
+        resolve({
+          success: false,
+          error: stderr.trim() || `数字人脚本退出码 ${code}`,
+        });
+        return;
+      }
+      try {
+        const lines = stdout
+          .split(/\r?\n/)
+          .map((l) => l.trim())
+          .filter(Boolean);
+        const jsonLine = [...lines]
+          .reverse()
+          .find((l) => l.startsWith("{") && l.endsWith("}"));
+        if (!jsonLine) {
+          resolve({
+            success: false,
+            error: `解析结果失败: ${stdout.slice(0, 200)}`,
+          });
+          return;
+        }
+        resolve(JSON.parse(jsonLine));
+      } catch (e) {
+        resolve({
+          success: false,
+          error: `解析 JSON 失败: ${e.message}`,
+        });
+      }
+    });
+  });
+}
+
+globalThis.__nodejsMain = async function (params) {
+  const p = params || {};
+  const apiUrl =
+    desktopConfig.get("DIGITAL_HUMAN_API_URL") ||
+    desktopConfig.get("VIDEO_GEN_API_URL") ||
+    desktopConfig.get("DIGITAL_HUMAN_GRADIO_URL");
+  if (!apiUrl) {
+    return {
+      success: false,
+      error:
+        "缺少 DIGITAL_HUMAN_API_URL（或 VIDEO_GEN_API_URL），请在配置管理中设置数字人 Gradio 服务地址",
+    };
+  }
+
+  const audioFile = String(p.audioPath || "").trim();
+  const videoFile = String(p.avatarVideoPath || "").trim();
+  if (!audioFile) {
+    return { success: false, error: "缺少音频文件，请先生成语音" };
+  }
+  if (!videoFile) {
+    return { success: false, error: "缺少形象视频，请先选择形象" };
+  }
+  if (!fs.existsSync(audioFile)) {
+    return { success: false, error: `音频文件不存在: ${audioFile}` };
+  }
+  if (!fs.existsSync(videoFile)) {
+    return { success: false, error: `形象视频不存在: ${videoFile}` };
+  }
+
+  const result = await runPythonDigitalHuman(apiUrl, audioFile, videoFile);
+  if (!result?.success || !result?.videoPath) {
+    return {
+      success: false,
+      error: String(result?.error || "口播视频生成失败"),
+    };
+  }
+
+  try {
+    const localPath = await ensureLocalVideo(result.videoPath);
+    return { success: true, videoPath: localPath };
+  } catch (e) {
+    return { success: false, error: e.message || String(e) };
+  }
+};

scripts/nodejs/digital_human_process.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""
+数字人处理脚本（对齐 zhenqianba digital_human_process.py）
+调用 Gradio API：音频 + 形象视频 → 口播视频
+"""
+
+import json
+import sys
+
+
+def main():
+    if len(sys.argv) < 4:
+        print(
+            json.dumps(
+                {
+                    "success": False,
+                    "error": "参数不足: 需要 api_url, audio_file, video_file",
+                }
+            )
+        )
+        sys.exit(1)
+
+    api_url = sys.argv[1]
+    audio_file = sys.argv[2]
+    video_file = sys.argv[3]
+
+    try:
+        from gradio_client import Client, handle_file
+
+        client = Client(api_url)
+        result = client.predict(
+            audio_file=handle_file(audio_file),
+            video_file={"video": handle_file(video_file)},
+            api_name="/process_single",
+        )
+
+        if isinstance(result, dict) and result.get("video"):
+            print(
+                json.dumps(
+                    {
+                        "success": True,
+                        "videoPath": result["video"],
+                        "subtitles": result.get("subtitles"),
+                    }
+                )
+            )
+            sys.exit(0)
+
+        print(
+            json.dumps(
+                {"success": False, "error": f"未获取到视频结果: {str(result)[:500]}"}
+            )
+        )
+        sys.exit(1)
+
+    except Exception as e:
+        print(json.dumps({"success": False, "error": str(e)}))
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

scripts/nodejs/infinitetalk_api_generate.js

@@ -0,0 +1,241 @@
+"use strict";
+
+/**
+ * 调用本地 InfiniteTalk FastAPI（python-runtime/main.py）
+ * 配置：INFINITETALK_API_URL，默认 http://127.0.0.1:8765
+ */
+
+const fs = require("fs");
+const path = require("path");
+const os = require("os");
+const http = require("http");
+const https = require("https");
+const desktopConfig = require("./desktop_config.js");
+
+const POLL_MS = 3000;
+const MAX_WAIT_MS = 60 * 60 * 1000;
+
+function apiBase() {
+  const raw =
+    desktopConfig.get("INFINITETALK_API_URL") ||
+    desktopConfig.get("DIGITAL_HUMAN_API_URL") ||
+    "http://127.0.0.1:8765";
+  return String(raw).trim().replace(/\/+$/, "");
+}
+
+function requestJson(method, urlPath, body, headers = {}) {
+  return new Promise((resolve, reject) => {
+    const base = apiBase();
+    const url = new URL(urlPath.startsWith("http") ? urlPath : `${base}${urlPath}`);
+    const lib = url.protocol === "https:" ? https : http;
+    const opts = {
+      method,
+      hostname: url.hostname,
+      port: url.port || (url.protocol === "https:" ? 443 : 80),
+      path: url.pathname + url.search,
+      headers,
+    };
+    const req = lib.request(opts, (res) => {
+      const chunks = [];
+      res.on("data", (c) => chunks.push(c));
+      res.on("end", () => {
+        const text = Buffer.concat(chunks).toString("utf8");
+        let data;
+        try {
+          data = text ? JSON.parse(text) : {};
+        } catch {
+          data = { raw: text };
+        }
+        if (res.statusCode >= 400) {
+          reject(
+            new Error(
+              data.detail?.message ||
+                data.message ||
+                data.detail ||
+                `HTTP ${res.statusCode}: ${text.slice(0, 300)}`,
+            ),
+          );
+          return;
+        }
+        resolve(data);
+      });
+    });
+    req.on("error", reject);
+    if (body) req.write(body);
+    req.end();
+  });
+}
+
+function postMultipart(urlPath, fields, files) {
+  return new Promise((resolve, reject) => {
+    const boundary = `----Aiclient${Date.now()}`;
+    const parts = [];
+
+    for (const [name, value] of Object.entries(fields)) {
+      parts.push(
+        Buffer.from(
+          `--${boundary}\r\nContent-Disposition: form-data; name="${name}"\r\n\r\n${value}\r\n`,
+        ),
+      );
+    }
+    for (const { name, filePath, filename, contentType } of files) {
+      const data = fs.readFileSync(filePath);
+      parts.push(
+        Buffer.from(
+          `--${boundary}\r\nContent-Disposition: form-data; name="${name}"; filename="${filename}"\r\nContent-Type: ${contentType}\r\n\r\n`,
+        ),
+      );
+      parts.push(data);
+      parts.push(Buffer.from("\r\n"));
+    }
+    parts.push(Buffer.from(`--${boundary}--\r\n`));
+    const body = Buffer.concat(parts);
+
+    const base = apiBase();
+    const url = new URL(urlPath.startsWith("http") ? urlPath : `${base}${urlPath}`);
+    const lib = url.protocol === "https:" ? https : http;
+    const opts = {
+      method: "POST",
+      hostname: url.hostname,
+      port: url.port || (url.protocol === "https:" ? 443 : 80),
+      path: url.pathname + url.search,
+      headers: {
+        "Content-Type": `multipart/form-data; boundary=${boundary}`,
+        "Content-Length": body.length,
+      },
+    };
+    const req = lib.request(opts, (res) => {
+      const chunks = [];
+      res.on("data", (c) => chunks.push(c));
+      res.on("end", () => {
+        const text = Buffer.concat(chunks).toString("utf8");
+        let data;
+        try {
+          data = text ? JSON.parse(text) : {};
+        } catch {
+          data = { raw: text };
+        }
+        if (res.statusCode >= 400) {
+          reject(
+            new Error(
+              data.detail?.message ||
+                data.message ||
+                `HTTP ${res.statusCode}: ${text.slice(0, 300)}`,
+            ),
+          );
+          return;
+        }
+        resolve(data);
+      });
+    });
+    req.on("error", reject);
+    req.write(body);
+    req.end();
+  });
+}
+
+function downloadFile(urlPath, destPath) {
+  return new Promise((resolve, reject) => {
+    const base = apiBase();
+    const url = new URL(urlPath.startsWith("http") ? urlPath : `${base}${urlPath}`);
+    const lib = url.protocol === "https:" ? https : http;
+    const file = fs.createWriteStream(destPath);
+    lib
+      .get(url.href, (res) => {
+        if (res.statusCode && res.statusCode >= 300 && res.statusCode < 400 && res.headers.location) {
+          file.close();
+          return downloadFile(res.headers.location, destPath).then(resolve).catch(reject);
+        }
+        if (res.statusCode !== 200) {
+          reject(new Error(`下载失败 HTTP ${res.statusCode}`));
+          return;
+        }
+        res.pipe(file);
+        file.on("finish", () => file.close(() => resolve(destPath)));
+      })
+      .on("error", reject);
+  });
+}
+
+function sleep(ms) {
+  return new Promise((r) => setTimeout(r, ms));
+}
+
+function guessMime(filePath) {
+  const ext = path.extname(filePath).toLowerCase();
+  if (ext === ".mp3") return "audio/mpeg";
+  if (ext === ".wav") return "audio/wav";
+  if (ext === ".mov") return "video/quicktime";
+  return "video/mp4";
+}
+
+globalThis.__nodejsMain = async function (params) {
+  const audioPath = String(params?.audioPath || "").trim();
+  const avatarVideoPath = String(params?.avatarVideoPath || "").trim();
+  if (!audioPath || !fs.existsSync(audioPath)) {
+    return { success: false, error: "缺少或找不到音频文件" };
+  }
+  if (!avatarVideoPath || !fs.existsSync(avatarVideoPath)) {
+    return { success: false, error: "缺少或找不到形象视频" };
+  }
+
+  try {
+    const health = await requestJson("GET", "/health");
+    if (!health.ok) {
+      return {
+        success: false,
+        error: `InfiniteTalk 服务未就绪: ${(health.issues || []).join("; ")}`,
+      };
+    }
+  } catch (e) {
+    return {
+      success: false,
+      error: `无法连接 InfiniteTalk API (${apiBase()}): ${e.message}`,
+    };
+  }
+
+  const create = await postMultipart(
+    "/api/v1/talking-video",
+    { prompt: String(params?.prompt || "") },
+    [
+      {
+        name: "video",
+        filePath: avatarVideoPath,
+        filename: path.basename(avatarVideoPath),
+        contentType: guessMime(avatarVideoPath),
+      },
+      {
+        name: "audio",
+        filePath: audioPath,
+        filename: path.basename(audioPath),
+        contentType: guessMime(audioPath),
+      },
+    ],
+  );
+
+  const jobId = create.job_id;
+  if (!jobId) {
+    return { success: false, error: "未返回 job_id" };
+  }
+
+  const started = Date.now();
+  while (Date.now() - started < MAX_WAIT_MS) {
+    const st = await requestJson("GET", `/api/v1/talking-video/${jobId}`);
+    if (st.status === "succeeded") {
+      const outDir = path.join(os.tmpdir(), "aiclient-infinitetalk");
+      fs.mkdirSync(outDir, { recursive: true });
+      const dest = path.join(outDir, `talking_${jobId}.mp4`);
+      await downloadFile(`/api/v1/talking-video/${jobId}/download`, dest);
+      return { success: true, videoPath: dest };
+    }
+    if (st.status === "failed") {
+      return {
+        success: false,
+        error: String(st.message || "InfiniteTalk 任务失败"),
+      };
+    }
+    await sleep(POLL_MS);
+  }
+
+  return { success: false, error: "InfiniteTalk 生成超时" };
+};

scripts/nodejs/runninghub_generate.js

@@ -0,0 +1,405 @@
+"use strict";
+
+/**
+ * 口播视频（云端）：RunningHub OpenAPI v2（对齐 Electron VideoGen.runCloudMode）
+ * 配置（desktop_configs → AICLIENT_CFG_*）：
+ *   VIDEO_GEN_MODE=online
+ *   RUNNINGHUB_API_KEY
+ *   RUNNINGHUB_WORKFLOW_ID
+ *   RUNNINGHUB_BASE_URL（可选，默认 https://www.runninghub.cn）
+ *   RUNNINGHUB_INSTANCE_TYPE（可选，default | plus）
+ *   RUNNINGHUB_NODES（可选 JSON，节点 field 映射）
+ */
+
+const fs = require("fs");
+const path = require("path");
+const os = require("os");
+const http = require("http");
+const https = require("https");
+const { spawnSync } = require("child_process");
+const desktopConfig = require("./desktop_config.js");
+
+const DEFAULT_BASE = "https://www.runninghub.cn";
+const POLL_MS = 3000;
+const MAX_POLLS = 600;
+
+const DEFAULT_NODES = {
+  videoNode: "88",
+  audioNode: "15",
+  durationNode: "60",
+  fpsNode: "63",
+  widthNode: "67",
+  heightNode: "69",
+};
+
+function cfg(key, fallback = "") {
+  return desktopConfig.get(key, fallback);
+}
+
+function parseNodes() {
+  const raw = cfg("RUNNINGHUB_NODES", "");
+  if (!raw) return { ...DEFAULT_NODES };
+  try {
+    const parsed = JSON.parse(raw);
+    return { ...DEFAULT_NODES, ...parsed };
+  } catch {
+    return { ...DEFAULT_NODES };
+  }
+}
+
+function apiConfig() {
+  const apiKey = cfg("RUNNINGHUB_API_KEY");
+  const workflowId =
+    cfg("RUNNINGHUB_WORKFLOW_ID") || cfg("RUNNINGHUB_WORKFLOW_ID_1") || "";
+  const baseUrl = String(cfg("RUNNINGHUB_BASE_URL", DEFAULT_BASE))
+    .trim()
+    .replace(/\/+$/, "");
+  const instanceType = cfg("RUNNINGHUB_INSTANCE_TYPE", "default") || "default";
+  return { apiKey, workflowId, baseUrl, instanceType, nodes: parseNodes() };
+}
+
+function sleep(ms) {
+  return new Promise((r) => setTimeout(r, ms));
+}
+
+function requestBuffer(method, urlStr, body, headers = {}) {
+  return new Promise((resolve, reject) => {
+    const url = new URL(urlStr);
+    const lib = url.protocol === "https:" ? https : http;
+    const payload = body ? Buffer.from(body) : null;
+    const opts = {
+      method,
+      hostname: url.hostname,
+      port: url.port || (url.protocol === "https:" ? 443 : 80),
+      path: url.pathname + url.search,
+      headers: {
+        Host: url.hostname,
+        ...headers,
+      },
+    };
+    if (payload) {
+      opts.headers["Content-Length"] = payload.length;
+    }
+    const req = lib.request(opts, (res) => {
+      const chunks = [];
+      res.on("data", (c) => chunks.push(c));
+      res.on("end", () => {
+        const buf = Buffer.concat(chunks);
+        let data;
+        const text = buf.toString("utf8");
+        try {
+          data = text ? JSON.parse(text) : {};
+        } catch {
+          data = { raw: text };
+        }
+        resolve({ status: res.statusCode || 0, data, text });
+      });
+    });
+    req.on("error", reject);
+    if (payload) req.write(payload);
+    req.end();
+  });
+}
+
+function postMultipart(urlStr, filePath, apiKey) {
+  return new Promise((resolve, reject) => {
+    const boundary = `----RunningHub${Date.now()}`;
+    const fileName = path.basename(filePath);
+    const fileData = fs.readFileSync(filePath);
+    const head = Buffer.from(
+      `--${boundary}\r\n` +
+        `Content-Disposition: form-data; name="file"; filename="${fileName}"\r\n` +
+        `Content-Type: application/octet-stream\r\n\r\n`,
+    );
+    const tail = Buffer.from(`\r\n--${boundary}--\r\n`);
+    const body = Buffer.concat([head, fileData, tail]);
+
+    const url = new URL(urlStr);
+    const lib = url.protocol === "https:" ? https : http;
+    const opts = {
+      method: "POST",
+      hostname: url.hostname,
+      port: url.port || (url.protocol === "https:" ? 443 : 80),
+      path: url.pathname + url.search,
+      headers: {
+        Host: url.hostname,
+        Authorization: `Bearer ${apiKey}`,
+        "Content-Type": `multipart/form-data; boundary=${boundary}`,
+        "Content-Length": body.length,
+      },
+    };
+    const req = lib.request(opts, (res) => {
+      const chunks = [];
+      res.on("data", (c) => chunks.push(c));
+      res.on("end", () => {
+        const text = Buffer.concat(chunks).toString("utf8");
+        let data;
+        try {
+          data = text ? JSON.parse(text) : {};
+        } catch {
+          data = { raw: text };
+        }
+        if (res.statusCode >= 400) {
+          reject(
+            new Error(
+              data.message || data.msg || data.errorMessage || `HTTP ${res.statusCode}`,
+            ),
+          );
+          return;
+        }
+        resolve(data);
+      });
+    });
+    req.on("error", reject);
+    req.write(body);
+    req.end();
+  });
+}
+
+async function uploadFile(baseUrl, apiKey, filePath) {
+  const url = `${baseUrl}/openapi/v2/media/upload/binary`;
+  const data = await postMultipart(url, filePath, apiKey);
+  if (data.code !== 0 && data.code !== undefined) {
+    throw new Error(data.message || data.msg || "上传失败");
+  }
+  const fileName = data.data?.fileName || data.fileName;
+  if (!fileName) {
+    throw new Error(`上传未返回 fileName: ${JSON.stringify(data).slice(0, 300)}`);
+  }
+  return fileName;
+}
+
+function probeAudioDuration(audioPath) {
+  const ffprobe = process.env.AICLIENT_FFPROBE_PATH || "ffprobe";
+  const r = spawnSync(
+    ffprobe,
+    [
+      "-v",
+      "error",
+      "-show_entries",
+      "format=duration",
+      "-of",
+      "default=noprint_wrappers=1:nokey=1",
+      audioPath,
+    ],
+    { encoding: "utf8", windowsHide: true },
+  );
+  if (r.status !== 0) return 0;
+  const n = parseFloat(String(r.stdout || "").trim());
+  return Number.isFinite(n) && n > 0 ? n : 0;
+}
+
+async function createTask(config, videoFileName, audioFileName, audioDuration) {
+  const { apiKey, workflowId, baseUrl, instanceType, nodes } = config;
+  const nodeInfoList = [
+    {
+      nodeId: nodes.videoNode,
+      fieldName: "video",
+      fieldValue: videoFileName,
+      description: "请导入视频",
+    },
+    {
+      nodeId: nodes.audioNode,
+      fieldName: "audio",
+      fieldValue: audioFileName,
+      description: "请导入新的音频",
+    },
+  ];
+  if (audioDuration > 0 && nodes.durationNode) {
+    nodeInfoList.push({
+      nodeId: nodes.durationNode,
+      fieldName: "value",
+      fieldValue: String(Math.ceil(audioDuration)),
+      description: "视频时长设置（秒）",
+    });
+  }
+  if (nodes.fpsNode) {
+    nodeInfoList.push({
+      nodeId: nodes.fpsNode,
+      fieldName: "int",
+      fieldValue: "30",
+      description: "视频帧率",
+    });
+  }
+  if (nodes.widthNode) {
+    nodeInfoList.push({
+      nodeId: nodes.widthNode,
+      fieldName: "int",
+      fieldValue: "576",
+      description: "视频宽度",
+    });
+  }
+  if (nodes.heightNode) {
+    nodeInfoList.push({
+      nodeId: nodes.heightNode,
+      fieldName: "int",
+      fieldValue: "1024",
+      description: "视频高度",
+    });
+  }
+
+  const payload = JSON.stringify({
+    randomSeed: true,
+    nodeInfoList,
+    instanceType,
+    retainSeconds: 0,
+    usePersonalQueue: false,
+  });
+
+  const url = `${baseUrl}/openapi/v2/run/ai-app/${workflowId}`;
+  const { status, data } = await requestBuffer("POST", url, payload, {
+    "Content-Type": "application/json",
+    Authorization: `Bearer ${apiKey}`,
+  });
+  if (status >= 400) {
+    throw new Error(
+      data.errorMessage || data.message || data.msg || `创建任务失败 HTTP ${status}`,
+    );
+  }
+  const taskId = data.taskId;
+  if (!taskId) {
+    throw new Error(data.errorMessage || "创建任务失败：未返回 taskId");
+  }
+  return taskId;
+}
+
+async function queryTask(config, taskId) {
+  const url = `${config.baseUrl}/openapi/v2/query`;
+  const { data } = await requestBuffer(
+    "POST",
+    url,
+    JSON.stringify({ taskId }),
+    {
+      "Content-Type": "application/json",
+      Authorization: `Bearer ${config.apiKey}`,
+    },
+  );
+  return {
+    status: data.status,
+    errorMessage: data.errorMessage,
+    results: data.results,
+  };
+}
+
+async function waitForTask(config, taskId) {
+  for (let i = 0; i < MAX_POLLS; i++) {
+    const result = await queryTask(config, taskId);
+    if (result.status === "SUCCESS") {
+      return result;
+    }
+    if (result.status === "FAILED") {
+      throw new Error(result.errorMessage || "RunningHub 任务失败");
+    }
+    await sleep(POLL_MS);
+  }
+  throw new Error(`RunningHub 任务超时（已等待 ${(MAX_POLLS * POLL_MS) / 60000} 分钟）`);
+}
+
+function pickResultUrl(results) {
+  if (!Array.isArray(results) || !results.length) return "";
+  const first = results[0];
+  if (typeof first === "string") return first;
+  return first.url || first.fileUrl || first.outputUrl || "";
+}
+
+function downloadFile(url, destPath) {
+  return new Promise((resolve, reject) => {
+    const client = url.startsWith("https") ? https : http;
+    const file = fs.createWriteStream(destPath);
+    client
+      .get(url, (res) => {
+        if (
+          res.statusCode &&
+          res.statusCode >= 300 &&
+          res.statusCode < 400 &&
+          res.headers.location
+        ) {
+          file.close();
+          return downloadFile(res.headers.location, destPath).then(resolve).catch(reject);
+        }
+        if (res.statusCode !== 200) {
+          reject(new Error(`下载视频失败 HTTP ${res.statusCode}`));
+          return;
+        }
+        res.pipe(file);
+        file.on("finish", () => file.close(() => resolve(destPath)));
+      })
+      .on("error", reject);
+  });
+}
+
+async function ensureLocalVideo(videoUrl) {
+  const raw = String(videoUrl || "").trim();
+  if (!raw) throw new Error("未获取到视频地址");
+  if (!/^https?:\/\//i.test(raw)) {
+    if (raw.startsWith("file://")) return raw.replace(/^file:\/\//, "");
+    return raw;
+  }
+  const dir = path.join(os.tmpdir(), "aiclient-runninghub");
+  fs.mkdirSync(dir, { recursive: true });
+  const dest = path.join(dir, `output_${Date.now()}.mp4`);
+  await downloadFile(raw, dest);
+  return dest;
+}
+
+globalThis.__nodejsMain = async function (params) {
+  const p = params || {};
+  const mode = String(cfg("VIDEO_GEN_MODE", "")).trim().toLowerCase();
+  if (mode && mode !== "online") {
+    return {
+      success: false,
+      error: `runninghub_generate.js 仅用于 VIDEO_GEN_MODE=online，当前为 ${mode}`,
+    };
+  }
+
+  const config = apiConfig();
+  if (!config.apiKey) {
+    return {
+      success: false,
+      error: "缺少 RUNNINGHUB_API_KEY，请在配置管理中设置 RunningHub API 密钥",
+    };
+  }
+  if (!config.workflowId) {
+    return {
+      success: false,
+      error: "缺少 RUNNINGHUB_WORKFLOW_ID，请在配置管理中设置工作流 ID",
+    };
+  }
+
+  const audioPath = String(p.audioPath || "").trim();
+  const videoPath = String(p.avatarVideoPath || "").trim();
+  if (!audioPath || !fs.existsSync(audioPath)) {
+    return { success: false, error: "缺少或找不到音频文件" };
+  }
+  if (!videoPath || !fs.existsSync(videoPath)) {
+    return { success: false, error: "缺少或找不到形象视频" };
+  }
+
+  let audioDuration = Number(p.audioDuration);
+  if (!Number.isFinite(audioDuration) || audioDuration <= 0) {
+    audioDuration = probeAudioDuration(audioPath);
+  }
+
+  try {
+    const videoFileName = await uploadFile(config.baseUrl, config.apiKey, videoPath);
+    const audioFileName = await uploadFile(config.baseUrl, config.apiKey, audioPath);
+    const taskId = await createTask(
+      config,
+      videoFileName,
+      audioFileName,
+      audioDuration,
+    );
+    const done = await waitForTask(config, taskId);
+    const remoteUrl = pickResultUrl(done.results);
+    if (!remoteUrl) {
+      return {
+        success: false,
+        error: `任务完成但未返回视频 URL: ${JSON.stringify(done).slice(0, 400)}`,
+      };
+    }
+    const localPath = await ensureLocalVideo(remoteUrl);
+    return { success: true, videoPath: localPath, taskId };
+  } catch (e) {
+    return { success: false, error: e.message || String(e) };
+  }
+};