// canvas.js —— 创意画布主进程中转执行层：复用 router.llmGroup() 的当前中转分组，
// 统一在主进程发起 image/video/tts 请求并把成品下载转 base64 data URL 返回渲染层。
// key 只在主进程流转；渲染层被 CSP 拦截的远程 URL 一律由这里下载转 base64。
const router = require("./router");
const fs = require("fs");
const http = require("http");
const https = require("https");
const os = require("os");
const path = require("path");
const { execFileSync } = require("child_process");

// —— 从 baseUrl 解析出主机名（失败则原样返回）——
function hostOf(baseUrl) {
  try {
    return new URL(baseUrl).host;
  } catch {
    return baseUrl || "";
  }
}

function uniqStrings(list) {
  return Array.from(new Set((list || []).map((v) => String(v || "").trim()).filter(Boolean)));
}

function groupText(g) {
  return `${(g && g.name) || ""} ${(g && g.model) || ""}`.toLowerCase();
}

function isSeedanceV2Model(model) {
  return /^(?:bh2\.0-|sd2\.0-|sdvip|gz-sd)/i.test(String(model || "").trim());
}

function isSeedanceV2Group(g) {
  const text = groupText(g);
  return /seedance[\s_-]*v\s*2|seedancev2|seedance_v2/.test(text) || isSeedanceV2Model(g && g.model);
}

function isSeedanceGroup(g) {
  return /seedance/.test(groupText(g));
}

function isGrokGroup(g) {
  return /grok/.test(groupText(g));
}

function modelCandidatesForGroup(g) {
  const out = [];
  if (!g) return out;
  if (g.model) out.push(g.model);
  if (Array.isArray(g.oneMillionModels)) out.push(...g.oneMillionModels);

  if (isGrokGroup(g)) {
    out.push("grok-video-1.5", "grok-imagine-video-1.5", "grok-imagine-video");
  }
  if (isSeedanceV2Group(g)) {
    out.push(
      "bh2.0-fast-720p",
      "bh2.0-720p",
      "bh2.0-1080p",
      "bh2.0-mini-720p",
      "SD2.0-720P",
      "SD2.0-720P-fast",
      "SD2.0-1080P",
      "sdvip720p",
      "sdvip1080p",
      "gz-sd720p",
      "gz-sd1080p"
    );
  } else if (isSeedanceGroup(g)) {
    out.push("seedance2.0", "seedance-2.0");
  }
  return uniqStrings(out);
}

// —— 去尾斜杠 ——
function trimSlash(u) {
  return (u || "").replace(/\/$/, "");
}

// —— 可复用的异步 sleep（不留定时器句柄泄漏隐患）——
function sleep(ms) {
  return new Promise((resolve) => setTimeout(resolve, ms));
}

// —— 统一请求头（与 router.fetchModels 的 User-Agent 一致）——
function headers(key) {
  return {
    Authorization: "Bearer " + (key || ""),
    "User-Agent": "codex-market",
    "Content-Type": "application/json",
  };
}

function grokDebugLog(entry) {
  try {
    const dir = path.join(os.homedir(), "Library", "Application Support", "codex-market");
    fs.mkdirSync(dir, { recursive: true });
    fs.appendFileSync(
      path.join(dir, "grok-video-debug.jsonl"),
      JSON.stringify({ time: new Date().toISOString(), ...entry }) + "\n"
    );
  } catch {}
}

function seedanceDebugLog(entry) {
  try {
    const dir = path.join(os.homedir(), "Library", "Application Support", "codex-market");
    fs.mkdirSync(dir, { recursive: true });
    fs.appendFileSync(
      path.join(dir, "seedance-video-debug.jsonl"),
      JSON.stringify({ time: new Date().toISOString(), ...entry }) + "\n"
    );
  } catch {}
}

function systemProxyUrl() {
  const envProxy = process.env.HTTPS_PROXY || process.env.https_proxy || process.env.HTTP_PROXY || process.env.http_proxy || "";
  if (envProxy) return envProxy;
  if (process.platform !== "darwin") return "";
  try {
    const out = execFileSync("scutil", ["--proxy"], { encoding: "utf8", timeout: 1000 });
    const get = (name) => {
      const m = out.match(new RegExp("^\\s*" + name + "\\s*:\\s*(.+)$", "m"));
      return m ? m[1].trim() : "";
    };
    const httpsOn = get("HTTPSEnable") === "1";
    const httpOn = get("HTTPEnable") === "1";
    const host = httpsOn ? get("HTTPSProxy") : httpOn ? get("HTTPProxy") : "";
    const port = httpsOn ? get("HTTPSPort") : httpOn ? get("HTTPPort") : "";
    return host && port ? `http://${host}:${port}` : "";
  } catch {
    return "";
  }
}

function proxyAgentFor(targetUrl, proxyUrl) {
  try {
    if (/^https:/i.test(targetUrl)) {
      const { HttpsProxyAgent } = require("https-proxy-agent");
      return new HttpsProxyAgent(proxyUrl);
    }
    const { HttpProxyAgent } = require("http-proxy-agent");
    return new HttpProxyAgent(proxyUrl);
  } catch {
    return null;
  }
}

function requestBuffer(url, agent, extraHeaders = {}) {
  return new Promise((resolve, reject) => {
    let u;
    try {
      u = new URL(url);
    } catch (e) {
      reject(e);
      return;
    }
    const mod = u.protocol === "https:" ? https : http;
    const req = mod.get(
      url,
      {
        agent,
        headers: { "User-Agent": "codex-market", ...extraHeaders },
      },
      (res) => {
        const loc = res.headers.location;
        if (res.statusCode >= 300 && res.statusCode < 400 && loc) {
          res.resume();
          requestBuffer(new URL(loc, url).toString(), agent, extraHeaders).then(resolve, reject);
          return;
        }
        if (res.statusCode < 200 || res.statusCode >= 300) {
          res.resume();
          reject(new Error("HTTP " + res.statusCode));
          return;
        }
        const chunks = [];
        res.on("data", (c) => chunks.push(c));
        res.on("end", () => resolve(Buffer.concat(chunks)));
      }
    );
    req.setTimeout(120000, () => req.destroy(new Error("下载超时")));
    req.on("error", reject);
  });
}

// —— 下载任意远程资源 → base64 字符串 ——
async function downloadAsBase64(url, extraHeaders = {}) {
  const proxyUrl = systemProxyUrl();
  let proxyErr = "";
  if (proxyUrl) {
    const agent = proxyAgentFor(url, proxyUrl);
    if (agent) {
      try {
        return (await requestBuffer(url, agent, extraHeaders)).toString("base64");
      } catch (e) {
        proxyErr = String((e && e.message) || e);
        // 代理下载失败时再直连兜底，保留原行为。
      }
    }
  }
  const ctrl = new AbortController();
  const timer = setTimeout(() => ctrl.abort(), 120000);
  try {
    const res = await fetch(url, { headers: { "User-Agent": "codex-market", ...extraHeaders }, signal: ctrl.signal });
    if (!res.ok) throw new Error("下载失败 HTTP " + res.status);
    const buf = Buffer.from(await res.arrayBuffer());
    return buf.toString("base64");
  } catch (e) {
    const directErr = String((e && e.message) || e);
    throw new Error("下载失败：" + directErr + (proxyErr ? "；代理下载也失败：" + proxyErr : ""));
  } finally {
    clearTimeout(timer);
  }
}

function trustedDownloadHeaders(url, llm) {
  let host = "";
  try {
    host = new URL(url).host.toLowerCase();
  } catch {}
  if (!host || !llm || !llm.key) return {};
  if (host === "api.tokendun.com" || host.endsWith(".tokendun.com") || host === "pulseaify.com" || host.endsWith(".pulseaify.com")) {
    return { Authorization: "Bearer " + llm.key };
  }
  return {};
}

// —— 组装 data URL ——
function toDataUrl(mime, b64) {
  return `data:${mime};base64,${b64}`;
}

// ============================================================================
//  素材外链托管：兰空图床（Lsky Pro）——图生图参考图 / 图生视频素材统一走这里换公网直链
//  桌面端没有对外 Web 服务器，Seedance/火山上游只接受「可访问的图片 URL」，base64 会被拒收；
//  部分中转的图生图模型也用图片 URL 传参考图。所以 base64 素材先 POST 到兰空 /api/v1/upload
//  换成 http(s) 直链，再交给上游。
//  兰空契约：POST multipart/form-data（字段 file）+ 头 Authorization: Bearer <token>，
//           返回体公网直链在 data.links.url。
//  默认写死用户自建图床；可用环境变量 CANVAS_UPLOAD_ENDPOINT / CANVAS_UPLOAD_AUTH 覆盖（开发期切换）。
// ============================================================================
const MEDIA_HOST = {
  // 兰空图床基址（不带尾斜杠）。上传端点固定为 {base}/api/v1/upload。
  base: trimSlash(process.env.CANVAS_UPLOAD_ENDPOINT || "https://tc.tokendun.com"),
  // 兰空上传 token（个人令牌，长期有效）。留空则上传时报错。
  token: process.env.CANVAS_UPLOAD_AUTH || "9|u2ZJoV8p2KJU6zBdy1MtTbiqMV9TgbHBLvURVWwt",
};

// 从图床响应里挑出公网 URL（兰空 data.links.url，兼容 {url}/{data.url}/{data:[{url}]} 等形态）
function pickUploadedUrl(j) {
  if (!j || typeof j !== "object") return "";
  if (typeof j.url === "string") return j.url;
  const d = j.data;
  if (d && typeof d === "object") {
    // 兰空 Pro：data.links.url
    if (d.links && typeof d.links.url === "string") return d.links.url;
    if (typeof d.url === "string") return d.url;
    if (Array.isArray(d) && d[0] && typeof d[0].url === "string") return d[0].url;
  }
  return "";
}

// —— base64 dataURL → 兰空公网直链 ——
// 端点/令牌未配置 / 上传失败 / 未拿到合法 URL → 抛错（绝不把 base64 兜底发给上游）。
async function uploadMedia(dataUrl) {
  if (!MEDIA_HOST.base || !MEDIA_HOST.token) {
    throw new Error(
      "素材需要图床外链：图床地址或上传令牌未配置（桌面端无法把 base64 图直接交给上游）。"
    );
  }
  // dataURL → mime + Buffer → Blob，组 multipart（Node 18+ 原生 FormData/Blob）
  const m = /^data:([^;,]+)?(;base64)?,(.*)$/is.exec(String(dataUrl || ""));
  if (!m) throw new Error("参考图不是合法的 data URL");
  const mime = m[1] || "image/png";
  const buf = Buffer.from(m[3], m[2] ? "base64" : "utf-8");
  const ext = (mime.split("/")[1] || "png").replace(/[^a-z0-9]/gi, "") || "png";
  const fd = new FormData();
  fd.append("file", new Blob([buf], { type: mime }), "ref." + ext);

  const endpoint = MEDIA_HOST.base + "/api/v1/upload";
  let res;
  try {
    // 注意：不手设 Content-Type，让 fetch 自动带 multipart boundary
    res = await fetch(endpoint, {
      method: "POST",
      headers: { Authorization: "Bearer " + MEDIA_HOST.token, Accept: "application/json", "User-Agent": "codex-market" },
      body: fd,
    });
  } catch (e) {
    throw new Error("素材上传请求失败：" + String((e && e.message) || e));
  }
  if (!res.ok) {
    const detail = await res.text().catch(() => "");
    throw new Error(`素材上传失败(${res.status})：${detail.slice(0, 200)}`);
  }
  let j;
  try {
    j = await res.json();
  } catch {
    throw new Error("图床返回非 JSON，无法解析上传结果");
  }
  // 兰空失败时也返回 200 + {status:false,message}，据此给出明确错误
  if (j && j.status === false) throw new Error("图床上传被拒：" + (j.message || "未知原因"));
  const url = pickUploadedUrl(j);
  if (!url || !/^https?:\/\//i.test(url)) throw new Error("图床未返回合法的公网 URL");
  return url;
}

// —— 单个素材 → 公网直链：data URL 上传兰空换外链；http(s) 原样；空串返回 "" ——
async function resolveMat(v) {
  const s = String(v || "").trim();
  if (!s) return "";
  if (/^data:/i.test(s)) return await uploadMedia(s);
  if (/^https?:\/\//i.test(s)) return s;
  throw new Error("素材需为 data URL 或公网 http(s) 地址");
}

// 当前中转是否可用：ready = 有可用分组。画布节点会按 groupId 显式选用插件专用分组。
function status() {
  const usable = router.usableGroups();
  const llm = router.llmGroup() || (usable && usable[0]);
  if (!llm) return { ready: false, provider: null, reason: "未配置可用中转分组" };
  return {
    ready: true,
    provider: { name: llm.name || "", model: llm.model || "", host: hostOf(llm.baseUrl) },
  };
}

// —— 读图片流式 SSE：逐行取 data:{...}，partial 帧回调 onPartial，completed/末帧作最终图 ——
// 返回 { ok:true, mime, dataUrl } 或 null（非 SSE / 没拿到任何帧 → 交由调用方回退非流式）。
async function readImageSse(res, onPartial) {
  const decoder = new TextDecoder();
  let buf = "";
  let lastB64 = ""; // 最近一帧（流自然结束时用作最终图）
  let finalB64 = ""; // completed 事件的最终图
  let sawData = false;
  for await (const chunk of res.body) {
    buf += decoder.decode(chunk, { stream: true });
    let i;
    while ((i = buf.indexOf("\n")) >= 0) {
      const line = buf.slice(0, i).trim();
      buf = buf.slice(i + 1);
      if (!line.startsWith("data:")) continue;
      sawData = true;
      const data = line.slice(5).trim();
      if (data === "[DONE]") continue;
      let ev;
      try {
        ev = JSON.parse(data);
      } catch {
        continue;
      }
      const b64 = ev && (ev.b64_json || (ev.data && ev.data[0] && ev.data[0].b64_json));
      if (!b64) continue;
      const type = String((ev && ev.type) || "");
      lastB64 = b64;
      if (/partial/i.test(type)) {
        if (onPartial) {
          try {
            onPartial(toDataUrl("image/png", b64));
          } catch {}
        }
      } else if (/completed/i.test(type)) {
        finalB64 = b64;
      }
    }
  }
  if (!sawData) return null; // 首包/全程都不是 data: → 不是 SSE，回退
  const b64 = finalB64 || lastB64;
  if (!b64) return null;
  return { ok: true, mime: "image/png", dataUrl: toDataUrl("image/png", b64) };
}

// —— 回退：非流式单次 POST —— gpt-image 不加 response_format，其它模型加 b64_json 容错 ——
async function runImageNonStream(base, llm, params, url, model) {
  const isGptImage = /gpt-image/i.test(model);
  const body = {
    model,
    prompt: params.prompt,
    size: params.size || "1024x1024",
    ...(params.extra || {}),
  };
  if (!isGptImage) body.response_format = "b64_json";
  // 参考图外链（图生图）——runImage 已解析好 _refUrl，非流式回退同样带上
  if (params._refUrl) body[params.refField || "image"] = params._refUrl;
  try {
    const res = await fetch(url, { method: "POST", headers: headers(llm.key), body: JSON.stringify(body) });
    if (!res.ok) {
      const detail = await res.text().catch(() => "");
      return { ok: false, error: `图像接口 ${res.status}：POST ${url} model=${model}${detail ? " → " + detail.slice(0, 240) : ""}` };
    }
    const j = await res.json();
    const item = (j && j.data && j.data[0]) || {};
    let b64 = item.b64_json;
    const sourceUrl = item.url || "";
    if (!b64 && item.url) b64 = await downloadAsBase64(item.url); // url 形式：主进程再下载转 base64
    if (!b64) return { ok: false, error: `图像接口未返回 b64_json 或 url：POST ${url} model=${model}` };
    return { ok: true, mime: "image/png", dataUrl: toDataUrl("image/png", b64), url: sourceUrl, _model: model };
  } catch (e) {
    return { ok: false, error: `图像接口请求失败：POST ${url} model=${model} → ${String((e && e.message) || e)}` };
  }
}

// —— 文生图：stream-first —— POST {base}{endpointPath||"/v1/images/generations"} ——
// model 必须由用户填写（图像模型），为空不回退聊天模型，直接报错。
// 优先流式（partial 渐进帧经 onPartial 回传）；非 2xx / 非 SSE / 未取到帧 → 回退非流式。
async function runImage(base, llm, params, onPartial) {
  const model = params.model;
  if (!model) return { ok: false, error: "请先填写图像模型" };
  // 图生图：参考图(base64) → 兰空图床外链，只换一次，供流式/非流式两条路复用
  if (params.image && !params._refUrl) {
    const img = String(params.image).trim();
    if (/^data:/i.test(img)) {
      try {
        params._refUrl = await uploadMedia(img);
      } catch (e) {
        return { ok: false, error: "参考图上传图床失败：" + String((e && e.message) || e) };
      }
    } else if (/^https?:\/\//i.test(img)) {
      params._refUrl = img; // 已是公网URL，直接用
    }
  }
  const path = params.endpointPath || "/v1/images/generations";
  const url = base + path;
  try {
    const body = {
      model,
      prompt: params.prompt,
      size: params.size || "1024x1024",
      n: 1,
      stream: true,
      partial_images: 2,
      ...(params.extra || {}),
    };
    // 参考图外链塞进请求体（字段名可配，默认 image）
    if (params._refUrl) body[params.refField || "image"] = params._refUrl;
    const res = await fetch(url, {
      method: "POST",
      headers: headers(llm.key),
      body: JSON.stringify(body),
    });
    const ct = res.headers.get("content-type") || "";
    if (res.ok && res.body && /event-stream/i.test(ct)) {
      const streamed = await readImageSse(res, onPartial);
      if (streamed && streamed.ok) return { ...streamed, _model: model };
    }
    // 非 2xx / 非 SSE / 流里没拿到帧 → 回退非流式
  } catch {
    // 流式请求异常 → 回退非流式
  }
  return runImageNonStream(base, llm, params, url, model);
}

// —— TTS 配音：POST {base}/v1/audio/speech（响应为二进制音频）——
async function runTts(base, llm, params) {
  const model = params.model || "tts-1";
  const body = {
    model,
    input: params.text,
    voice: params.voice || "alloy",
    response_format: params.format || "mp3",
  };
  if (params.speed !== undefined && params.speed !== null && params.speed !== "") body.speed = params.speed;
  const res = await fetch(base + "/v1/audio/speech", {
    method: "POST",
    headers: headers(llm.key),
    body: JSON.stringify(body),
  });
  if (!res.ok) {
    const detail = await res.text().catch(() => "");
    return { ok: false, error: `TTS 接口返回 HTTP ${res.status}：${detail.slice(0, 300)}` };
  }
  const b64 = Buffer.from(await res.arrayBuffer()).toString("base64");
  return { ok: true, mime: "audio/mpeg", dataUrl: toDataUrl("audio/mpeg", b64), _model: model };
}

// —— 递归深挖视频地址（覆盖 result_url、data.content.video_url、data.data.content.video_url 等嵌套）——
// port 自 提示词提取/server.js
function isLikelyVideoUrl(u) {
  try {
    const p = new URL(u).pathname.toLowerCase();
    return /\.(mp4|mov|webm|m4v)(?:$|\.)/.test(p) || p.endsWith(".m3u8");
  } catch {
    return false;
  }
}

function findLikelyVideoUrl(o) {
  if (!o) return "";
  if (typeof o === "string") return /^https?:\/\//.test(o) && isLikelyVideoUrl(o) ? o : "";
  if (Array.isArray(o)) {
    for (const v of o) {
      const u = findLikelyVideoUrl(v);
      if (u) return u;
    }
    return "";
  }
  if (typeof o === "object") {
    for (const v of Object.values(o)) {
      const u = findLikelyVideoUrl(v);
      if (u) return u;
    }
  }
  return "";
}

function findVideoUrl(o) {
  const likely = findLikelyVideoUrl(o);
  if (likely) return likely;
  if (!o) return "";
  if (typeof o === "string") return "";
  if (Array.isArray(o)) {
    for (const v of o) {
      const u = findVideoUrl(v);
      if (u) return u;
    }
    return "";
  }
  if (typeof o === "object") {
    for (const k of ["video_url", "result_url", "content_url", "download_url", "file_url", "output_url"]) {
      const v = o[k];
      if (typeof v === "string" && /^https?:\/\//.test(v)) return v;
    }
    for (const v of Object.values(o)) {
      const u = findVideoUrl(v);
      if (u) return u;
    }
  }
  return "";
}

// —— 归一任务状态：各中转大小写/用词不一 —— port 自 提示词提取/server.js
function normalizeVideoStatus(raw) {
  const s = String(raw || "").toLowerCase();
  if (["succeeded", "success", "succeed", "done", "completed", "complete", "finished"].includes(s)) return "succeeded";
  if (["failed", "fail", "failure", "error", "cancelled", "canceled", "timeout", "timed_out", "expired"].includes(s)) return "failed";
  if (["in_progress", "running", "processing", "generating"].includes(s)) return "running";
  return s || "queued";
}

function joinUrl(base, p) {
  const root = trimSlash(base);
  const suffix = String(p || "").startsWith("/") ? String(p || "") : "/" + String(p || "");
  if (/\/v1$/i.test(root) && /^\/v1(?:\/|$)/i.test(suffix)) return root + suffix.slice(3);
  return root + suffix;
}

function pickTaskId(o) {
  if (!o || typeof o !== "object") return "";
  for (const k of ["request_id", "requestId", "task_id", "taskId", "id"]) {
    if ((typeof o[k] === "string" || typeof o[k] === "number") && String(o[k])) return String(o[k]);
  }
  for (const k of ["data", "result", "task"]) {
    const v = o[k];
    if (v && typeof v === "object" && !Array.isArray(v)) {
      const id = pickTaskId(v);
      if (id) return id;
    }
  }
  return "";
}

function pushRecentPoll(arr, value) {
  if (!value) return;
  arr.push(String(value).slice(0, 500));
  if (arr.length > 3) arr.shift();
}

async function resolveGrokImage(v) {
  const s = String(v || "").trim();
  if (!s) return "";
  if (/^data:image\/[^;,]+;base64,/i.test(s)) return await uploadMedia(s);
  if (/^data:/i.test(s)) throw new Error("Grok 首帧图需为 image/* 的 base64 data URL 或公网图片 URL");
  if (/^https?:\/\//i.test(s)) return s;
  throw new Error("Grok 首帧图需为 base64 data URL 或公网 http(s) 地址");
}

function grokSizeFromParams(params) {
  const rawSize = String((params && params.size) || "").trim();
  if (/^\d+x\d+$/i.test(rawSize)) return rawSize.toLowerCase();
  const resolution = String((params && params.resolution) || "720p").trim().toLowerCase();
  const shortSide = resolution === "1080p" ? 1080 : resolution === "480p" ? 480 : 720;
  const roundEven = (n) => Math.max(2, Math.round(n / 2) * 2);
  const ratio = String((params && (params.aspectRatio || params.ratio)) || "16:9").trim();
  const match = ratio.match(/^(\d+)\s*:\s*(\d+)$/);
  if (!match) return `${roundEven((shortSide * 16) / 9)}x${shortSide}`;
  const rw = Math.max(1, parseInt(match[1], 10));
  const rh = Math.max(1, parseInt(match[2], 10));
  if (rw === rh) return `${shortSide}x${shortSide}`;
  if (rw > rh) return `${roundEven((shortSide * rw) / rh)}x${shortSide}`;
  return `${shortSide}x${roundEven((shortSide * rh) / rw)}`;
}

// —— 旧 Seedance 专用适配（保留作历史兼容，当前画布由 runClmmVideoV2 统一提交）——
// mode: "text"(文生视频，只用 prompt) | "image"(图生视频)。model 可省略，使用上游默认。
// 图生视频素材两条来路：params.imageUrl(手填公网URL，优先) 或 params.image(上游 base64)。
// base64 会先经 uploadMedia() 换成公网直链再发上游（Seedance 绝不接受 base64）。
async function runVideoLegacy(base, llm, params) {
  const model = String(params.model || "").trim();
  const createUrl = joinUrl(base, params.endpointPath || "/v1/video/generations");
  // 输入模式：text/first/firstlast/reference/video；兼容旧值 image→first
  let mode = String(params.mode || "text");
  if (mode === "image") mode = "first";

  // —— body 组装：严格照中转文档（pulseaify Seedance）——扁平字段，非火山 metadata 格式 ——
  // prompt 必填；duration 整数(5/10/15)；ratio 顶层；quality 可选；async:true 走异步轮询
  const body = { prompt: (params.prompt || "").trim(), async: true };
  if (model) body.model = model; // 文档允许省略，交给上游使用默认 video-v1
  const dur = parseInt(params.seconds, 10);
  if ([5, 10, 15].includes(dur)) body.duration = dur; // -1/空/auto → 省略，用中转默认(10)
  if (params.ratio && params.ratio !== "auto") body.ratio = params.ratio;
  if (params.quality && params.quality !== "auto") body.quality = params.quality;
  try {
    // 参考图/素材：本中转支持 image(单图) / images(多图) / ref_assets；base64 先传图床换公网 URL
    if (mode === "first") {
      const img = await resolveMat(params.imageUrl || params.image);
      if (!img) return { ok: false, error: "首帧图生视频需要首帧图：连上游文生图 / 上传 / 手填公网URL" };
      body.image = img;
    } else if (mode === "firstlast") {
      // 本中转文档无「首尾帧」字段，退化为多图参考 images:[首,尾]
      const first = await resolveMat(params.image);
      const last = await resolveMat(params.lastFrameImage);
      const arr = [first, last].filter(Boolean);
      if (arr.length < 2) return { ok: false, error: "首尾帧模式需首帧和尾帧两张图（本中转会作多图参考处理）" };
      body.images = arr;
    } else if (mode === "reference") {
      const refs = Array.isArray(params.referenceImages) ? params.referenceImages : [];
      const resolved = (await Promise.all(refs.map((r) => resolveMat(r)))).filter(Boolean);
      if (!resolved.length) return { ok: false, error: "多参考图模式需至少 1 张参考图" };
      body[params.referenceField === "ref_assets" ? "ref_assets" : "images"] = resolved;
    } else if (mode === "video") {
      return { ok: false, error: "该中转不支持「参考视频」模式，请改用 文生 / 首帧 / 多参考图" };
    }
    // 文/图生视频 prompt 都必填（文档要求）
    if (!body.prompt) return { ok: false, error: "请填写提示词（本接口文生/图生视频都需要 prompt）" };

    // —— 建任务 ——
    const debugBase = {
      base: hostOf(base),
      create_url: createUrl,
      mode,
      request: {
        model: body.model || "<upstream-default>",
        duration: body.duration || "",
        ratio: body.ratio || "",
        quality: body.quality || "",
        async: body.async,
        has_image: typeof body.image === "string" && /^https?:\/\//i.test(body.image),
        image_count: Array.isArray(body.images) ? body.images.length : 0,
        ref_asset_count: Array.isArray(body.ref_assets) ? body.ref_assets.length : 0,
      },
    };
    seedanceDebugLog({ type: "seedance_video_create", ...debugBase });
    const cres = await fetch(createUrl, {
      method: "POST",
      headers: headers(llm.key),
      body: JSON.stringify(body),
    });
    if (!cres.ok) {
      const detail = await cres.text().catch(() => "");
      seedanceDebugLog({ type: "seedance_video_create_failed", ...debugBase, status: cres.status, detail: detail.slice(0, 500) });
      return { ok: false, error: `视频建任务失败(${cres.status})：POST ${createUrl} model=${body.model || "<默认>"} → ${detail.slice(0, 300)}` };
    }
    let data;
    const rawCreate = await cres.text().catch(() => "");
    try {
      data = JSON.parse(rawCreate);
    } catch {
      seedanceDebugLog({ type: "seedance_video_create_non_json", ...debugBase, detail: rawCreate.slice(0, 500) });
      return { ok: false, error: `视频建任务返回非 JSON：${rawCreate.slice(0, 300)}` };
    }
    const taskId = pickTaskId(data);
    if (!taskId) {
      seedanceDebugLog({ type: "seedance_video_missing_task_id", ...debugBase, response: JSON.stringify(data).slice(0, 500) });
      return { ok: false, error: `视频建任务未返回任务ID：${JSON.stringify(data).slice(0, 300)}` };
    }
    seedanceDebugLog({ type: "seedance_video_accepted", ...debugBase, task_id: taskId });

    // —— 轮询：每 5s，最多 120 次(~10min)，对齐 提示词提取 ——
    // poll 是 GET：只带 Authorization（不要带 Content-Type，个别网关对「GET 携带 body 类头」会返回非 2xx 而被误跳过）
    const pollUrl = createUrl + "/" + encodeURIComponent(taskId);
    const pollHeaders = { Authorization: "Bearer " + (llm.key || ""), "User-Agent": "codex-market" };
    let lastPoll = ""; // 记录最近一次轮询的异常/状态，超时时回传便于排查
    for (let i = 0; i < 120; i++) {
      await sleep(5000);
      let pd;
      try {
        const pr = await fetch(pollUrl, { headers: pollHeaders });
        if (!pr.ok) {
          lastPoll = `HTTP ${pr.status}: ` + (await pr.text().catch(() => "")).slice(0, 200);
          continue;
        }
        pd = await pr.json();
      } catch (e) {
        lastPoll = "请求异常：" + String((e && e.message) || e);
        continue;
      }
      const d = pd && pd.data && typeof pd.data === "object" && !Array.isArray(pd.data) ? pd.data : pd;
      const st = normalizeVideoStatus((d && (d.status || d.state)) || (pd && pd.status));
      lastPoll = "status=" + st;
      if (st === "succeeded") {
        const url = findVideoUrl(pd);
        if (!url) return { ok: false, error: `视频任务完成但未找到视频地址：${JSON.stringify(pd).slice(0, 300)}` };
        let b64;
        try {
          b64 = await downloadAsBase64(url, trustedDownloadHeaders(url, llm));
        } catch (e) {
          seedanceDebugLog({ type: "seedance_video_download_failed", ...debugBase, task_id: taskId, status: st, url, error: String((e && e.message) || e) });
          throw e;
        }
        seedanceDebugLog({ type: "seedance_video_done", ...debugBase, task_id: taskId, status: st, url });
        return { ok: true, mime: "video/mp4", dataUrl: toDataUrl("video/mp4", b64), url, _model: model };
      }
      if (st === "failed") {
        const err = (d && d.error && (d.error.message || d.error)) || (d && (d.fail_reason || d.message || d.reason)) || (pd && pd.message) || st;
        const raw = JSON.stringify(pd).slice(0, 500);
        seedanceDebugLog({ type: "seedance_video_failed", ...debugBase, task_id: taskId, status: st, response: raw });
        return { ok: false, error: "视频任务失败：" + (typeof err === "string" ? err : JSON.stringify(err)) + "\n上游原始返回：" + raw };
      }
      // queued/running → 继续等
    }
    seedanceDebugLog({ type: "seedance_video_timeout", ...debugBase, task_id: taskId, last_poll: lastPoll || "" });
    return { ok: false, error: "视频轮询 10 分钟未完成（taskId=" + taskId + "，最近一次轮询：" + (lastPoll || "无") + "）" };
  } catch (e) {
    return { ok: false, error: "视频生成异常：" + String((e && e.message) || e) };
  }
}

// —— 旧 Grok 专用适配（保留作历史兼容，当前画布由 runClmmVideoV2 统一提交）——
async function runGrokVideoLegacy(base, llm, params) {
  let model = params.model || "grok-video-1.5";
  const prompt = (params.prompt || "").trim();
  if (!prompt) return { ok: false, error: "请填写 Grok 视频提示词" };

  const seconds = String(params.seconds || "6").trim();
  const body = { model, prompt, seconds, size: grokSizeFromParams(params) };

  let mode = String(params.mode || "text");
  if (mode === "image") mode = "first";
  try {
    if (
      mode === "text" &&
      /grok-(?:imagine-)?video-1\.5/i.test(model) &&
      body.size === "1920x1080" &&
      Number(body.seconds) === 15
    ) {
      return { ok: false, error: "1.5 的 1080p/15s 需要首帧图；请改用首帧图生视频，或降低文生视频规格" };
    }
    if (mode === "first") {
      const img = await resolveGrokImage(params.imageUrl || params.image);
      if (!img) return { ok: false, error: "Grok 图生视频需要首帧图：上传 / 手填公网URL / 连接上游文生图" };
      body.image = { url: img };
    } else if (mode === "reference") {
      const refs = Array.isArray(params.referenceImages) ? params.referenceImages : [];
      const resolved = (await Promise.all(refs.map((r) => resolveMat(r)))).filter(Boolean);
      if (!resolved.length) return { ok: false, error: "Grok 多参考图模式请至少提供 1 张参考图" };
      model = "grok-imagine-video";
      body.model = model;
      delete body.size;
      body.resolution = "720p";
      delete body.seconds;
      const dur = parseInt(params.seconds, 10);
      if (!isNaN(dur) && dur > 0) body.duration = dur;
      if (!body.aspect_ratio) body.aspect_ratio = params.aspectRatio || "16:9";
      body.reference_images = resolved.map((url) => ({ url }));
    } else if (mode !== "text") {
      return { ok: false, error: "Grok 视频新增接口只支持「文生视频」「首帧图生视频」和「多参考图」" };
    }

    const createUrl = joinUrl(base, params.endpointPath || "/v1/videos/generations");
    const debugBase = {
      base: hostOf(base),
      create_url: createUrl,
      mode,
      request: {
        model: body.model,
        prompt: body.prompt,
        seconds: body.seconds || "",
        size: body.size || "",
        resolution: body.resolution || "",
        duration: body.duration || "",
        aspect_ratio: body.aspect_ratio || "",
        has_image: !!body.image,
        image_is_url: !!(body.image && typeof body.image === "object" && typeof body.image.url === "string" && /^https?:\/\//i.test(body.image.url)),
        reference_image_count: Array.isArray(body.reference_images) ? body.reference_images.length : 0,
      },
    };
    grokDebugLog({ type: "grok_video_create", ...debugBase });
    const cres = await fetch(createUrl, {
      method: "POST",
      headers: headers(llm.key),
      body: JSON.stringify(body),
    });
    if (!cres.ok) {
      const detail = await cres.text().catch(() => "");
      grokDebugLog({ type: "grok_video_create_failed", ...debugBase, status: cres.status, detail: detail.slice(0, 300) });
      return { ok: false, error: `Grok 视频建任务失败(${cres.status})：POST ${createUrl} → ${detail.slice(0, 300)}` };
    }
    let data;
    let rawCreate = "";
    try {
      rawCreate = await cres.text();
      data = JSON.parse(rawCreate);
    } catch {
      return { ok: false, error: `Grok 视频建任务返回非 JSON：${rawCreate.slice(0, 300)}` };
    }
    const requestId = pickTaskId(data);
    if (!requestId) return { ok: false, error: `Grok 视频建任务未返回 request_id：${JSON.stringify(data).slice(0, 300)}` };
    grokDebugLog({ type: "grok_video_accepted", ...debugBase, request_id: requestId });

    const pollUrl = joinUrl(base, "/v1/videos/" + encodeURIComponent(requestId));
    const pollHeaders = { Authorization: "Bearer " + (llm.key || ""), Accept: "application/json", "User-Agent": "codex-market" };
    let lastPoll = "";
    const recentPolls = [];
    for (let i = 0; i < 120; i++) {
      await sleep(5000);
      let pd;
      try {
        const pr = await fetch(pollUrl, { headers: pollHeaders });
        if (!pr.ok) {
          lastPoll = `HTTP ${pr.status}: ` + (await pr.text().catch(() => "")).slice(0, 200);
          continue;
        }
        pd = await pr.json();
      } catch (e) {
        lastPoll = "请求异常：" + String((e && e.message) || e);
        continue;
      }
      pushRecentPoll(recentPolls, JSON.stringify(pd));
      const d = pd && pd.data && typeof pd.data === "object" && !Array.isArray(pd.data) ? pd.data : pd;
      const st = normalizeVideoStatus((d && (d.status || d.state)) || (pd && pd.status));
      lastPoll = "status=" + st;
      if (st === "succeeded") {
        const url = findVideoUrl(pd);
        if (!url) {
          lastPoll = "status=succeeded，但暂未返回视频地址";
          continue;
        }
        let b64;
        try {
          b64 = await downloadAsBase64(url, trustedDownloadHeaders(url, llm));
        } catch (e) {
          grokDebugLog({ type: "grok_video_download_failed", ...debugBase, request_id: requestId, status: st, url, error: String((e && e.message) || e) });
          throw e;
        }
        grokDebugLog({ type: "grok_video_done", ...debugBase, request_id: requestId, status: st, url });
        return { ok: true, mime: "video/mp4", dataUrl: toDataUrl("video/mp4", b64), url, _model: model };
      }
      if (st === "failed") {
        const err = (d && d.error && (d.error.message || d.error)) || (d && (d.fail_reason || d.message || d.reason)) || (pd && pd.message) || st;
        grokDebugLog({ type: "grok_video_failed", ...debugBase, request_id: requestId, status: st, error: typeof err === "string" ? err : JSON.stringify(err) });
        return { ok: false, error: "Grok 视频任务失败：" + (typeof err === "string" ? err : JSON.stringify(err)) };
      }
    }
    return {
      ok: false,
      error:
        "Grok 视频轮询 10 分钟未完成（GET " +
        pollUrl +
        "，request_id=" +
        requestId +
        "，最近一次轮询：" +
        (lastPoll || "无") +
        (recentPolls.length ? "，最近原始返回：" + recentPolls.join(" | ") : "") +
        "）",
    };
  } catch (e) {
    return { ok: false, error: "Grok 视频生成异常：" + String((e && e.message) || e) };
  }
}

// —— Seedance V2（Binghuo 原生）：POST /v1/video/generations + GET /v1/video/generations/:task_id ——
// 对应 sub2api platform=seedance_v2，与 CLMM /v1/videos 契约分离，避免字段被改写。
function seedanceV2EndpointPath(endpointPath) {
  const path = String(endpointPath || "").trim();
  if (!path) return "/v1/video/generations";
  // 若用户仍填 CLMM 路径，也归一到 V2 原生路径（sub2api 两边都能进同一 handler，但原生更稳）
  if (/\/v1\/videos(?:\/generations)?$/i.test(path) || /\/videos(?:\/generations)?$/i.test(path)) {
    return "/v1/video/generations";
  }
  return path;
}

function seedanceV2DurationSeconds(params, model) {
  const raw = Number.parseInt(String((params && params.seconds) || ""), 10);
  if (Number.isInteger(raw) && raw > 0) return raw;
  const fixed = String(model || "").match(/(?:^|[-_])(\d+)s(?:$|[-_])/i);
  if (fixed) return Number(fixed[1]) || 5;
  return 5;
}

async function runSeedanceV2(base, llm, params) {
  const model = String(params.model || "").trim();
  const prompt = String(params.prompt || "").trim();
  if (!model) return { ok: false, error: "Seedance V2 必须选择模型完整名称" };
  if (!prompt) return { ok: false, error: "Seedance V2 必须填写提示词" };

  let mode = String(params.mode || "text");
  if (mode === "image") mode = "first";

  const body = {
    model,
    prompt,
    duration: seedanceV2DurationSeconds(params, model),
    ratio: String(params.ratio || params.aspectRatio || "16:9"),
    resolution: clmmResolutionFromParamsV2(params),
  };

  try {
    if (mode === "first") {
      const image = await resolveMat(params.imageUrl || params.image);
      if (!image) return { ok: false, error: "Seedance V2 首帧图生视频需要首帧图" };
      body.start_frame = [image];
    } else if (mode === "firstlast") {
      const first = await resolveMat(params.imageUrl || params.image);
      const last = await resolveMat(params.lastFrameImage);
      if (!first || !last) return { ok: false, error: "首尾帧模式需要首帧和尾帧两张图片" };
      body.start_frame = [first];
      body.end_frame = [last];
    } else if (mode === "reference") {
      const materials = Array.isArray(params.referenceImages) ? params.referenceImages : [];
      const refs = (await Promise.all(materials.map((item) => resolveMat(item)))).filter(Boolean);
      if (!refs.length) return { ok: false, error: "多参考图模式至少需要 1 张参考图" };
      body.images = refs;
    } else if (mode !== "text") {
      return { ok: false, error: "Seedance V2 暂不支持参考视频模式，请改用 文生 / 首帧 / 多参考图" };
    }

    const createUrl = joinUrl(base, seedanceV2EndpointPath(params.endpointPath));
    const debugBase = {
      base: hostOf(base),
      create_url: createUrl,
      mode,
      request: {
        model: body.model,
        duration: body.duration,
        ratio: body.ratio,
        resolution: body.resolution,
        image_count: Array.isArray(body.images) ? body.images.length : 0,
        has_start_frame: Array.isArray(body.start_frame) && body.start_frame.length > 0,
        has_end_frame: Array.isArray(body.end_frame) && body.end_frame.length > 0,
      },
    };
    seedanceDebugLog({ type: "seedance_v2_video_create", ...debugBase });

    const cres = await fetch(createUrl, {
      method: "POST",
      headers: headers(llm.key),
      body: JSON.stringify(body),
    });
    const rawCreate = await cres.text().catch(() => "");
    if (!cres.ok) {
      seedanceDebugLog({ type: "seedance_v2_video_create_failed", ...debugBase, status: cres.status, detail: rawCreate.slice(0, 500) });
      return { ok: false, error: `Seedance V2 建任务失败(${cres.status})：POST ${createUrl} → ${rawCreate.slice(0, 300)}` };
    }

    let data;
    try {
      data = JSON.parse(rawCreate);
    } catch {
      seedanceDebugLog({ type: "seedance_v2_video_create_non_json", ...debugBase, detail: rawCreate.slice(0, 500) });
      return { ok: false, error: `Seedance V2 建任务返回非 JSON：${rawCreate.slice(0, 300)}` };
    }
    const taskId = pickTaskId(data);
    if (!taskId) {
      seedanceDebugLog({ type: "seedance_v2_video_missing_task_id", ...debugBase, response: JSON.stringify(data).slice(0, 500) });
      return { ok: false, error: `Seedance V2 建任务未返回 task_id：${JSON.stringify(data).slice(0, 300)}` };
    }
    seedanceDebugLog({ type: "seedance_v2_video_accepted", ...debugBase, task_id: taskId });

    // 原生路径：/v1/video/generations/:task_id
    // 若 createUrl 是 /v1/videos，则沿 createUrl/:id 轮询（sub2api 也会路由到 V2 status）
    const pollUrl = /\/generations$/i.test(createUrl.replace(/\/$/, ""))
      ? createUrl.replace(/\/$/, "") + "/" + encodeURIComponent(taskId)
      : createUrl.replace(/\/$/, "") + "/" + encodeURIComponent(taskId);
    const pollHeaders = { Authorization: "Bearer " + (llm.key || ""), Accept: "application/json", "User-Agent": "codex-market" };
    let lastPoll = "";
    for (let i = 0; i < 300; i++) {
      await sleep(i === 0 ? 1000 : 3000);
      try {
        const pr = await fetch(pollUrl, { headers: pollHeaders });
        const rawPoll = await pr.text().catch(() => "");
        if (!pr.ok) {
          lastPoll = `HTTP ${pr.status}: ${rawPoll.slice(0, 200)}`;
          continue;
        }
        const pd = JSON.parse(rawPoll);
        const d = pd && pd.data && typeof pd.data === "object" && !Array.isArray(pd.data) ? pd.data : pd;
        const st = normalizeVideoStatus((d && (d.status || d.state)) || (pd && pd.status));
        lastPoll = "status=" + st;
        if (st === "succeeded") {
          const url = clmmVideoUrlV2(pd) || clmmVideoUrlV2(d);
          if (!url) return { ok: false, error: `Seedance V2 任务完成但未找到视频地址：${JSON.stringify(pd).slice(0, 300)}` };
          const b64 = await downloadAsBase64(url, trustedDownloadHeaders(url, llm));
          seedanceDebugLog({ type: "seedance_v2_video_done", ...debugBase, task_id: taskId, url });
          return { ok: true, mime: "video/mp4", dataUrl: toDataUrl("video/mp4", b64), url, _model: model };
        }
        if (st === "failed") {
          const err = (d && d.error && (d.error.message || d.error)) || (d && (d.fail_reason || d.message || d.reason)) || (pd && pd.message) || st;
          seedanceDebugLog({ type: "seedance_v2_video_failed", ...debugBase, task_id: taskId, status: st, response: rawPoll.slice(0, 500) });
          return { ok: false, error: `Seedance V2 任务失败：${typeof err === "string" ? err : JSON.stringify(err)}` };
        }
      } catch (e) {
        lastPoll = "请求异常：" + String((e && e.message) || e);
      }
    }
    seedanceDebugLog({ type: "seedance_v2_video_timeout", ...debugBase, task_id: taskId, last_poll: lastPoll || "" });
    return { ok: false, error: `Seedance V2 轮询 15 分钟未完成（task_id=${taskId}，最近一次：${lastPoll || "无"}）` };
  } catch (e) {
    return { ok: false, error: "Seedance V2 视频生成异常：" + String((e && e.message) || e) };
  }
}

// —— CLMM 视频统一适配：Seedance/Grok 节点都通过中转的 /videos 契约提交 ——
// 文档契约：POST /videos，字段使用 aspect_ratio/resolution/size/seconds/mySeconds/reference_image_urls。
function clmmResolutionFromParamsV2(params) {
  const value = String(params.resolution || params.vsize || "720p").trim();
  // 2K/4K 由中转和具体模型决定是否可用；客户端只负责保留并透传。
  return /^(480|720|1080)p$/i.test(value) || /^(2|4)k$/i.test(value) ? value.toLowerCase() : "720p";
}

function clmmSizeFromParamsV2(params, resolution) {
  const ratio = String(params.aspectRatio || params.ratio || "16:9").trim();
  const match = ratio.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
  // 采用常见视频尺寸：2K=2560x1440，4K=3840x2160（横屏基准短边）。
  const shortSide = /4k/i.test(resolution) ? 2160 : /2k/i.test(resolution) ? 1440 : /1080/i.test(resolution) ? 1080 : /480/i.test(resolution) ? 480 : 720;
  if (!match) return `${Math.round(shortSide * 16 / 9)}x${shortSide}`;
  const rw = Number(match[1]);
  const rh = Number(match[2]);
  if (!rw || !rh) return `${Math.round(shortSide * 16 / 9)}x${shortSide}`;
  if (rw === rh) return `${shortSide}x${shortSide}`;
  if (rw > rh) return `${Math.round(shortSide * rw / rh)}x${shortSide}`;
  return `${shortSide}x${Math.round(shortSide * rh / rw)}`;
}

function clmmSecondsPayloadV2(model, requestedSeconds) {
  const requested = Number.isInteger(requestedSeconds) && requestedSeconds > 0 ? requestedSeconds : 10;
  const durationMatch = String(model || "").match(/-(\d+)s(?:-|$)/i);
  if (!durationMatch) return { seconds: String(requested) };
  const maxSeconds = Number(durationMatch[1]);
  if (!maxSeconds) return { seconds: String(requested) };
  if (/-gz(?:-|$)/i.test(model)) return { seconds: "1", mySeconds: String(maxSeconds) };
  if (requested > maxSeconds) return { error: `模型 ${model} 最长 ${maxSeconds}s，当前选择 ${requested}s` };
  return { seconds: "1", mySeconds: String(requested) };
}

function clmmVideoUrlV2(payload) {
  if (!payload || typeof payload !== "object") return "";
  const direct = [payload.video_url, payload.url, payload.result_url].find((v) => typeof v === "string" && /^https?:\/\//i.test(v));
  if (direct) return direct;
  if (payload.metadata && typeof payload.metadata === "object" && /^https?:\/\//i.test(String(payload.metadata.url || ""))) {
    return payload.metadata.url;
  }
  return findVideoUrl(payload);
}

function clmmEndpointPathV2(endpointPath) {
  const path = String(endpointPath || "").trim();
  if (!path || /\/v1\/video\/generations$|\/v1\/videos\/generations$/i.test(path)) return "/v1/videos";
  return path;
}

async function runClmmVideoV2(base, llm, params, debugLog, label) {
  const model = String(params.model || "").trim();
  const prompt = String(params.prompt || "").trim();
  if (!model) return { ok: false, error: `${label} 视频必须填写 CLMM 模型完整名称` };
  if (!prompt) return { ok: false, error: "请填写视频提示词（CLMM 接口要求 prompt）" };

  let mode = String(params.mode || "text");
  if (mode === "image") mode = "first";
  const resolution = clmmResolutionFromParamsV2(params);
  const requestedSeconds = Number.parseInt(params.seconds, 10);
  const duration = clmmSecondsPayloadV2(model, requestedSeconds);
  if (duration.error) return { ok: false, error: duration.error };

  const body = {
    model,
    prompt,
    aspect_ratio: String(params.aspectRatio || params.ratio || "16:9"),
    resolution,
    size: clmmSizeFromParamsV2(params, resolution),
    seconds: duration.seconds,
  };
  if (duration.mySeconds) body.mySeconds = duration.mySeconds;

  try {
    let refs = [];
    if (mode === "first") {
      const image = await resolveMat(params.imageUrl || params.image);
      if (!image) return { ok: false, error: `${label} 首帧图生视频需要首帧图` };
      refs = [image];
    } else if (mode === "firstlast") {
      const first = await resolveMat(params.imageUrl || params.image);
      const last = await resolveMat(params.lastFrameImage);
      refs = [first, last].filter(Boolean);
      if (refs.length < 2) return { ok: false, error: "首尾帧模式需要首帧和尾帧两张图片" };
    } else if (mode === "reference") {
      const materials = Array.isArray(params.referenceImages) ? params.referenceImages : [];
      refs = (await Promise.all(materials.map((item) => resolveMat(item)))).filter(Boolean);
      if (!refs.length) return { ok: false, error: "多参考图模式至少需要 1 张参考图" };
    } else if (mode !== "text") {
      return { ok: false, error: "CLMM 视频接口不支持参考视频模式" };
    }
    body.reference_image_urls = refs;

    const createUrl = joinUrl(base, clmmEndpointPathV2(params.endpointPath));
    const debugBase = {
      base: hostOf(base),
      create_url: createUrl,
      mode,
      request: {
        model: body.model,
        aspect_ratio: body.aspect_ratio,
        resolution: body.resolution,
        size: body.size,
        seconds: body.seconds,
        mySeconds: body.mySeconds || "",
        reference_image_count: refs.length,
      },
    };
    debugLog({ type: `${label.toLowerCase()}_clmm_video_create`, ...debugBase });

    const cres = await fetch(createUrl, {
      method: "POST",
      headers: headers(llm.key),
      body: JSON.stringify(body),
    });
    const rawCreate = await cres.text().catch(() => "");
    if (!cres.ok) {
      debugLog({ type: `${label.toLowerCase()}_clmm_video_create_failed`, ...debugBase, status: cres.status, detail: rawCreate.slice(0, 500) });
      return { ok: false, error: `${label} 视频建任务失败(${cres.status})：POST ${createUrl} → ${rawCreate.slice(0, 300)}` };
    }

    let data;
    try {
      data = JSON.parse(rawCreate);
    } catch {
      return { ok: false, error: `${label} 视频建任务返回非 JSON：${rawCreate.slice(0, 300)}` };
    }
    const taskId = pickTaskId(data);
    if (!taskId) return { ok: false, error: `${label} 视频建任务未返回 task_id：${JSON.stringify(data).slice(0, 300)}` };
    debugLog({ type: `${label.toLowerCase()}_clmm_video_accepted`, ...debugBase, task_id: taskId });

    const pollUrl = createUrl.replace(/\/$/, "") + "/" + encodeURIComponent(taskId);
    const pollHeaders = { Authorization: "Bearer " + (llm.key || ""), Accept: "application/json", "User-Agent": "codex-market" };
    let lastPoll = "";
    for (let i = 0; i < 300; i++) {
      await sleep(i === 0 ? 1000 : 3000);
      try {
        const pr = await fetch(pollUrl, { headers: pollHeaders });
        const rawPoll = await pr.text().catch(() => "");
        if (!pr.ok) {
          lastPoll = `HTTP ${pr.status}: ${rawPoll.slice(0, 200)}`;
          continue;
        }
        const pd = JSON.parse(rawPoll);
        const d = pd && pd.data && typeof pd.data === "object" && !Array.isArray(pd.data) ? pd.data : pd;
        const st = normalizeVideoStatus((d && (d.status || d.state)) || (pd && pd.status));
        lastPoll = "status=" + st;
        if (st === "succeeded") {
          const url = clmmVideoUrlV2(pd);
          if (!url) return { ok: false, error: `${label} 视频任务完成但未找到视频地址：${JSON.stringify(pd).slice(0, 300)}` };
          const b64 = await downloadAsBase64(url, trustedDownloadHeaders(url, llm));
          debugLog({ type: `${label.toLowerCase()}_clmm_video_done`, ...debugBase, task_id: taskId, url });
          return { ok: true, mime: "video/mp4", dataUrl: toDataUrl("video/mp4", b64), url, _model: model };
        }
        if (st === "failed") {
          const err = (d && d.error && (d.error.message || d.error)) || (d && (d.fail_reason || d.message || d.reason)) || (pd && pd.message) || st;
          return { ok: false, error: `${label} 视频任务失败：${typeof err === "string" ? err : JSON.stringify(err)}` };
        }
      } catch (e) {
        lastPoll = "请求异常：" + String((e && e.message) || e);
      }
    }
    return { ok: false, error: `${label} 视频轮询 15 分钟未完成（task_id=${taskId}，最近一次：${lastPoll || "无"}）` };
  } catch (e) {
    return { ok: false, error: `${label} 视频生成异常：` + String((e && e.message) || e) };
  }
}

// 统一执行入口：dispatch 到 image/video/tts，返回 { ok, mime, dataUrl, meta } 或 { ok:false, error }。
// onPartial：可选，仅 image 流式生成时用来回传渐进帧（undefined 时安全忽略）。
async function run({ kind, params }, onPartial) {
  const p = params || {};
  // 解析渠道：指定 groupId 则按 id 取该分组，否则回退当前可用 llmGroup
  const g = p.groupId ? router.groupById(p.groupId) : router.llmGroup();
  if (!g) return { ok: false, error: "未配置可用中转分组" };
  if (!g.baseUrl || !g.key) return { ok: false, error: "所选分组缺少地址或密钥" };
  const base = trimSlash(g.baseUrl);
  const host = hostOf(g.baseUrl);
  const t0 = Date.now();
  try {
    let r;
    if (kind === "image") r = await runImage(base, g, p, onPartial);
    else if (kind === "tts") r = await runTts(base, g, p);
    else if (kind === "video") {
      // Seedance V2 分组走 Binghuo 原生；旧 Seedance/CLMM 分组继续走 /v1/videos
      const forceV2 = isSeedanceV2Model(p.model) || /seedance[\s_-]*v\s*2|seedancev2|\/v1\/video\/generations/i.test(
        String(p.endpointPath || "") + " " + String(g.name || "") + " " + String(g.model || "")
      );
      if (forceV2 || isSeedanceV2Group(g)) r = await runSeedanceV2(base, g, p);
      else r = await runClmmVideoV2(base, g, p, seedanceDebugLog, "Seedance");
    }
    else if (kind === "grokVideo") r = await runClmmVideoV2(base, g, p, grokDebugLog, "Grok");
    else return { ok: false, error: "未知的画布任务类型：" + kind };
    const model = (r && r._model) || p.model || g.model;
    if (r && r._model !== undefined) delete r._model;
    if (r && r.ok) r.meta = { model, ms: Date.now() - t0, host };
    return r;
  } catch (e) {
    return { ok: false, error: String((e && e.message) || e), meta: { model: p.model || g.model, ms: Date.now() - t0, host } };
  }
}

// 列出全部可用中转分组（供前端每个节点的「分组」下拉）：返回 activeId 与精简分组信息。
function groups() {
  const list = router.usableGroups();
  if (!list || !list.length) return { ok: false, error: "未配置可用中转分组" };
  const st = router.status();
  const activeId = (st && st.activeId) || (router.llmGroup() || {}).id || null;
  return {
    ok: true,
    activeId,
    groups: list.map((g) => ({
      id: g.id,
      name: g.name || "",
      model: g.model || "",
      models: modelCandidatesForGroup(g),
      host: hostOf(g.baseUrl),
      codexImage: !!g.codexImage,
      codexVideo: !!g.codexVideo,
      seedanceV2: isSeedanceV2Group(g),
      seedance: isSeedanceGroup(g),
      grok: isGrokGroup(g),
    })),
  };
}

// 拉取指定/当前中转分组可用的模型列表（复用 router.fetchModels），供前端填充模型下拉/datalist。
async function listModels(groupId) {
  const g = groupId ? router.groupById(groupId) : router.llmGroup();
  if (!g) return { ok: false, error: "未配置可用中转分组" };
  if (!g.baseUrl || !g.key) return { ok: false, error: "所选分组缺少地址或密钥" };
  try {
    const fetched = await router.fetchModels(g.baseUrl, g.key).catch(() => []);
    const models = uniqStrings([...fetched, ...modelCandidatesForGroup(g)]);
    if (!models.length) {
      return { ok: false, error: "该分组未返回可用模型，也没有配置默认模型" };
    }
    return { ok: true, models };
  } catch (e) {
    const models = uniqStrings(modelCandidatesForGroup(g));
    if (models.length) return { ok: true, models, warning: String((e && e.message) || e) };
    return { ok: false, error: String((e && e.message) || e) };
  }
}

module.exports = {
  status,
  groups,
  run,
  listModels,
  downloadAsBase64,
  clmmResolutionFromParamsV2,
  clmmSizeFromParamsV2,
};