import { Injectable } from '@angular/core';
import { HttpClient, HttpHeaders } from '@angular/common/http';
import { Observable, Subject, timer, throwError, of } from 'rxjs';
import { switchMap, takeWhile, tap, catchError, map } from 'rxjs/operators';
import { environment } from '../../environments/environment';

// MD5 hash function (lightweight, for signing only)
function md5(input: string): string {
  function safeAdd(x: number, y: number) {
    const lsw = (x & 0xffff) + (y & 0xffff);
    return (((x >> 16) + (y >> 16) + (lsw >> 16)) << 16) | (lsw & 0xffff);
  }
  function bitRotateLeft(num: number, cnt: number) {
    return (num << cnt) | (num >>> (32 - cnt));
  }
  function md5cmn(q: number, a: number, b: number, x: number, s: number, t: number) {
    return safeAdd(bitRotateLeft(safeAdd(safeAdd(a, q), safeAdd(x, t)), s), b);
  }
  function md5ff(a: number, b: number, c: number, d: number, x: number, s: number, t: number) {
    return md5cmn((b & c) | (~b & d), a, b, x, s, t);
  }
  function md5gg(a: number, b: number, c: number, d: number, x: number, s: number, t: number) {
    return md5cmn((b & d) | (c & ~d), a, b, x, s, t);
  }
  function md5hh(a: number, b: number, c: number, d: number, x: number, s: number, t: number) {
    return md5cmn(b ^ c ^ d, a, b, x, s, t);
  }
  function md5ii(a: number, b: number, c: number, d: number, x: number, s: number, t: number) {
    return md5cmn(c ^ (b | ~d), a, b, x, s, t);
  }
  function binlMD5(x: number[], len: number): number[] {
    x[len >> 5] |= 0x80 << (len % 32);
    x[((len + 64) >>> 9 << 4) + 14] = len;
    let a = 1732584193, b = -271733879, c = -1732584194, d = 271733878;
    for (let i = 0; i < x.length; i += 16) {
      const olda = a, oldb = b, oldc = c, oldd = d;
      a = md5ff(a, b, c, d, x[i], 7, -680876936); d = md5ff(d, a, b, c, x[i + 1], 12, -389564586);
      c = md5ff(c, d, a, b, x[i + 2], 17, 606105819); b = md5ff(b, c, d, a, x[i + 3], 22, -1044525330);
      a = md5ff(a, b, c, d, x[i + 4], 7, -176418897); d = md5ff(d, a, b, c, x[i + 5], 12, 1200080426);
      c = md5ff(c, d, a, b, x[i + 6], 17, -1473231341); b = md5ff(b, c, d, a, x[i + 7], 22, -45705983);
      a = md5ff(a, b, c, d, x[i + 8], 7, 1770035416); d = md5ff(d, a, b, c, x[i + 9], 12, -1958414417);
      c = md5ff(c, d, a, b, x[i + 10], 17, -42063); b = md5ff(b, c, d, a, x[i + 11], 22, -1990404162);
      a = md5ff(a, b, c, d, x[i + 12], 7, 1804603682); d = md5ff(d, a, b, c, x[i + 13], 12, -40341101);
      c = md5ff(c, d, a, b, x[i + 14], 17, -1502002290); b = md5ff(b, c, d, a, x[i + 15], 22, 1236535329);
      a = md5gg(a, b, c, d, x[i + 1], 5, -165796510); d = md5gg(d, a, b, c, x[i + 6], 9, -1069501632);
      c = md5gg(c, d, a, b, x[i + 11], 14, 643717713); b = md5gg(b, c, d, a, x[i], 20, -373897302);
      a = md5gg(a, b, c, d, x[i + 5], 5, -701558691); d = md5gg(d, a, b, c, x[i + 10], 9, 38016083);
      c = md5gg(c, d, a, b, x[i + 15], 14, -660478335); b = md5gg(b, c, d, a, x[i + 4], 20, -405537848);
      a = md5gg(a, b, c, d, x[i + 9], 5, 568446438); d = md5gg(d, a, b, c, x[i + 14], 9, -1019803690);
      c = md5gg(c, d, a, b, x[i + 3], 14, -187363961); b = md5gg(b, c, d, a, x[i + 8], 20, 1163531501);
      a = md5gg(a, b, c, d, x[i + 13], 5, -1444681467); d = md5gg(d, a, b, c, x[i + 2], 9, -51403784);
      c = md5gg(c, d, a, b, x[i + 7], 14, 1735328473); b = md5gg(b, c, d, a, x[i + 12], 20, -1926607734);
      a = md5hh(a, b, c, d, x[i + 5], 4, -378558); d = md5hh(d, a, b, c, x[i + 8], 11, -2022574463);
      c = md5hh(c, d, a, b, x[i + 11], 16, 1839030562); b = md5hh(b, c, d, a, x[i + 14], 23, -35309556);
      a = md5hh(a, b, c, d, x[i + 1], 4, -1530992060); d = md5hh(d, a, b, c, x[i + 4], 11, 1272893353);
      c = md5hh(c, d, a, b, x[i + 7], 16, -155497632); b = md5hh(b, c, d, a, x[i + 10], 23, -1094730640);
      a = md5hh(a, b, c, d, x[i + 13], 4, 681279174); d = md5hh(d, a, b, c, x[i], 11, -358537222);
      c = md5hh(c, d, a, b, x[i + 3], 16, -722521979); b = md5hh(b, c, d, a, x[i + 6], 23, 76029189);
      a = md5hh(a, b, c, d, x[i + 9], 4, -640364487); d = md5hh(d, a, b, c, x[i + 12], 11, -421815835);
      c = md5hh(c, d, a, b, x[i + 15], 16, 530742520); b = md5hh(b, c, d, a, x[i + 2], 23, -995338651);
      a = md5ii(a, b, c, d, x[i], 6, -198630844); d = md5ii(d, a, b, c, x[i + 7], 10, 1126891415);
      c = md5ii(c, d, a, b, x[i + 14], 15, -1416354905); b = md5ii(b, c, d, a, x[i + 5], 21, -57434055);
      a = md5ii(a, b, c, d, x[i + 12], 6, 1700485571); d = md5ii(d, a, b, c, x[i + 3], 10, -1894986606);
      c = md5ii(c, d, a, b, x[i + 10], 15, -1051523); b = md5ii(b, c, d, a, x[i + 1], 21, -2054922799);
      a = md5ii(a, b, c, d, x[i + 8], 6, 1873313359); d = md5ii(d, a, b, c, x[i + 15], 10, -30611744);
      c = md5ii(c, d, a, b, x[i + 6], 15, -1560198380); b = md5ii(b, c, d, a, x[i + 13], 21, 1309151649);
      a = md5ii(a, b, c, d, x[i + 4], 6, -145523070); d = md5ii(d, a, b, c, x[i + 11], 10, -1120210379);
      c = md5ii(c, d, a, b, x[i + 2], 15, 718787259); b = md5ii(b, c, d, a, x[i + 9], 21, -343485551);
      a = safeAdd(a, olda); b = safeAdd(b, oldb); c = safeAdd(c, oldc); d = safeAdd(d, oldd);
    }
    return [a, b, c, d];
  }
  function str2binl(str: string): number[] {
    const bin: number[] = [];
    const mask = (1 << 8) - 1;
    for (let i = 0; i < str.length * 8; i += 8) {
      bin[i >> 5] |= (str.charCodeAt(i / 8) & mask) << (i % 32);
    }
    return bin;
  }
  function binl2hex(binarray: number[]): string {
    const hexTab = '0123456789abcdef';
    let str = '';
    for (let i = 0; i < binarray.length * 4; i++) {
      str += hexTab.charAt((binarray[i >> 2] >> ((i % 4) * 8 + 4)) & 0xf) +
             hexTab.charAt((binarray[i >> 2] >> ((i % 4) * 8)) & 0xf);
    }
    return str;
  }
  return binl2hex(binlMD5(str2binl(input), input.length * 8));
}

export interface JimengVideoRequest {
  prompt: string;
  method: '1' | '2' | '3' | '4'; // 1文生视频 2首帧 3首尾帧 4运镜
  frames?: number; // 121(5s) 或 241(10s)
  config?: {
    aspect_ratio?: string;
    image_urls?: string[];
    template_id?: string;
    camera_strength?: string;
  };
}

export interface JimengTaskStatus {
  tip: string;
  isFinish: boolean;
  isContinue?: boolean;
}

export interface JimengWorkResult {
  objectId: string;
  images?: string[];
  videos?: string[];
  prompt?: string;
  progress?: number;
  usage?: any;
}

export interface RemixTask {
  id: string;
  videoTitle: string;
  style: string;
  prompt: string;
  workId?: string;
  status: 'submitting' | 'generating' | 'polling' | 'completed' | 'failed';
  progress: number;
  resultUrl?: string;
  error?: string;
  createdAt: Date;
}

@Injectable({
  providedIn: 'root'
})
export class JimengService {
  private readonly digitalHumanSubmitRetryableCodes = new Set([50429, 50430, 50500, 50501]);
  private readonly baseUrl = environment.jimengApi.baseUrl;
  private readonly parseBaseUrl = environment.jimengApi.parseBaseUrl;
  private readonly parseAppId = environment.jimengApi.parseAppId;
  private readonly token = environment.jimengApi.token;
  private readonly pollInterval = environment.jimengApi.pollIntervalMs;
  private readonly pollMaxAttempts = environment.jimengApi.pollMaxAttempts;
  private readonly digitalHumanPollMaxAttempts = Math.max(environment.jimengApi.pollMaxAttempts, 120);
  private readonly digitalHumanResultCheckInterval = 3;

  constructor(private http: HttpClient) {}

  // 提交文生视频任务 (720p)
  generateVideo720p(request: JimengVideoRequest): Observable<any> {
    const body = {
      prompt: request.prompt,
      method: request.method,
      frames: request.frames || 121,
      config: request.config || { aspect_ratio: '16:9' },
      token: this.token
    };

    console.log('🎬 即梦API - 提交视频生成任务:', body);

    return this.http.post(`${this.baseUrl}/getVideoV3_720p`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      tap((res: any) => console.log('🎬 即梦API - 任务提交响应:', res)),
      catchError(this.handleError('generateVideo720p'))
    );
  }

  // 提交文生视频任务 (1080p)
  generateVideo1080p(request: JimengVideoRequest): Observable<any> {
    const body = {
      prompt: request.prompt,
      method: request.method,
      frames: request.frames || 121,
      config: request.config || { aspect_ratio: '16:9' },
      token: this.token
    };

    console.log('🎬 即梦API - 提交1080p视频生成任务:', body);

    return this.http.post(`${this.baseUrl}/getVideoV3_1080p`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      tap((res: any) => console.log('🎬 即梦API - 1080p任务提交响应:', res)),
      catchError(this.handleError('generateVideo1080p'))
    );
  }

  // 提交文生视频任务 (Pro)
  generateVideoPro(request: JimengVideoRequest): Observable<any> {
    const body = {
      prompt: request.prompt,
      method: request.method,
      frames: request.frames || 121,
      config: request.config || { aspect_ratio: '16:9' },
      token: this.token
    };

    console.log('🎬 即梦API - 提交Pro视频生成任务:', body);

    return this.http.post(`${this.baseUrl}/getVideoV3_Pro`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      tap((res: any) => console.log('🎬 即梦API - Pro任务提交响应:', res)),
      catchError(this.handleError('generateVideoPro'))
    );
  }

  // 提交文生图任务 (v3.1)
  generateImage(prompt: string, width: number = 1920, height: number = 1080): Observable<any> {
    const body = {
      prompt: prompt,
      sizeDate: { width, height },
      token: this.token
    };

    console.log('🖼️ 即梦API - 提交图片生成任务:', body);

    return this.http.post(`${this.baseUrl}/getText2ImgV31`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      tap((res: any) => console.log('🖼️ 即梦API - 图片任务提交响应:', res)),
      catchError(this.handleError('generateImage'))
    );
  }

  // 查询任务状态
  queryTask(workId: string, routerName: string): Observable<any> {
    const body = {
      workId: workId,
      routerName: routerName,
      token: this.token
    };

    return this.http.post(`${this.baseUrl}/getDataByTask02`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      catchError(this.handleError('queryTask'))
    );
  }

  // 获取作品结果（通过 Parse API 查询 ImagineWork 表）
  getWorkResult(workId: string): Observable<JimengWorkResult> {
    return this.http.get<JimengWorkResult>(
      `${this.parseBaseUrl}/classes/ImagineWork/${workId}`,
      {
        headers: new HttpHeaders({
          'X-Parse-Application-Id': this.parseAppId
        })
      }
    ).pipe(
      tap((res: any) => console.log('📦 即梦API - 作品结果:', res)),
      catchError(this.handleError('getWorkResult'))
    );
  }

  uploadFileToParse(file: Blob, filename: string, contentType?: string): Observable<string> {
    const formData = new FormData();
    const normalizedFilename = String(filename || `asset-${Date.now()}`);
    const typedFile = file instanceof File
      ? file
      : new File([file], normalizedFilename, { type: contentType || 'application/octet-stream' });

    formData.append('file', typedFile, normalizedFilename);

    return this.http.post<any>(
      `/backend/api/remix/upload-asset`,
      formData
    ).pipe(
      map((res: any) => {
        const url = res?.url || '';
        if (!url) {
          throw new Error('上传素材失败，未返回可用 URL');
        }

        return url;
      }),
      tap((url: string) => console.log('📤 数字人素材上传成功:', url)),
      catchError(this.handleError('uploadFileToParse'))
    );
  }

  identifyDigitalHuman(imageUrl: string): Observable<{ workId: string }> {
    const body = {
      image_url: imageUrl,
      token: this.token
    };

    return this.http.post<any>(`${this.baseUrl}/getOhIdentifyMain`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      map((res: any) => {
        const workId = res?.data?.workId || res?.data?.taskId || '';
        if (res?.code !== 200 || !workId) {
          throw new Error(res?.msg || res?.message || '数字人主体识别任务提交失败');
        }

        return { workId };
      }),
      tap((res: { workId: string }) => console.log('🤖 数字人主体识别任务已提交:', res.workId)),
      catchError(this.handleError('identifyDigitalHuman'))
    );
  }

  queryDigitalHumanTask(workId: string, routerName: 'getOhIdentifyMain' | 'getOmniHuman'): Observable<any> {
    const body = {
      workId,
      taskId: workId,
      routerName,
      token: this.token
    };

    return this.http.post<any>(`${this.baseUrl}/getOhDateByTask`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      catchError(this.handleError('queryDigitalHumanTask'))
    );
  }

  pollDigitalHumanIdentifyUntilReady(
    workId: string,
    onProgress?: (status: string, progress: number) => void
  ): Observable<void> {
    return new Observable<void>(observer => {
      let attempt = 0;
      let finished = false;

      const poll = () => {
        if (finished) return;
        attempt += 1;

        if (attempt > this.pollMaxAttempts) {
          observer.error(new Error(`数字人主体识别超时：已达最大尝试次数 ${this.pollMaxAttempts}`));
          return;
        }

        this.queryDigitalHumanTask(workId, 'getOhIdentifyMain').subscribe({
          next: (res: any) => {
            if (finished) return;

            const tip = res?.data?.tip || '正在识别主体...';
            const isContinue = res?.data?.isContinue === true;
            const progress = Math.min(10 + (attempt / this.pollMaxAttempts) * 90, 99);

            if (onProgress) {
              onProgress(tip, progress);
            }

            if (typeof tip === 'string' && tip.includes('不存在主体')) {
              finished = true;
              observer.error(new Error('上传图片未识别到可驱动主体，请更换清晰的人像图片'));
              return;
            }

            if (isContinue) {
              finished = true;
              observer.next();
              observer.complete();
              return;
            }

            setTimeout(poll, this.pollInterval);
          },
          error: (err) => {
            if (!finished && attempt < this.pollMaxAttempts) {
              setTimeout(poll, this.pollInterval * 2);
            } else if (!finished) {
              observer.error(err);
            }
          }
        });
      };

      poll();
      return () => { finished = true; };
    });
  }

  pollDigitalHumanGenerateUntilComplete(
    workId: string,
    resultWorkId: string,
    onProgress?: (status: string, progress: number) => void
  ): Observable<{ videoUrl: string; workId: string }> {
    return new Observable<{ videoUrl: string; workId: string }>(observer => {
      let attempt = 0;
      let finished = false;
      let consecutiveQueryErrors = 0;
      const QUERY_ERROR_THRESHOLD = 3; // 连续 N 次状态接口失败后回退到结果接口

      const poll = () => {
        if (finished) return;
        attempt += 1;

        if (attempt > this.digitalHumanPollMaxAttempts) {
          this.getDigitalHumanWorkResult(resultWorkId).subscribe((result) => {
            if (result) {
              finished = true;
              observer.next(result);
              observer.complete();
              return;
            }

            observer.error(new Error(`数字人视频生成超时：已达最大尝试次数 ${this.digitalHumanPollMaxAttempts}`));
          });
          return;
        }

        this.queryDigitalHumanTask(workId, 'getOmniHuman').subscribe({
          next: (res: any) => {
            if (finished) return;
            consecutiveQueryErrors = 0;

            const data = res?.data || {};
            const status = data?.status || '';
            const isFinish = data?.isFinish === true || status === 'done';
            const tip = data?.tip || (isFinish ? '数字人视频生成完成' : '正在生成数字人视频...');
            const progress = Math.min(10 + (attempt / this.digitalHumanPollMaxAttempts) * 90, 99);

            if (onProgress) {
              onProgress(tip, isFinish ? 100 : progress);
            }

            if (typeof tip === 'string' && /fail|失败|error|expired|not_found/i.test(tip)) {
              finished = true;
              observer.error(new Error(tip));
              return;
            }

            if (isFinish) {
              finished = true;
              this.getDigitalHumanWorkResult(resultWorkId).subscribe({
                next: (result) => {
                  if (!result) {
                    observer.error(new Error('数字人视频生成完成，但未在作品结果中获取到视频地址'));
                    return;
                  }

                  observer.next(result);
                  observer.complete();
                },
                error: (err) => observer.error(err)
              });
              return;
            }

            if (status === 'expired' || status === 'not_found') {
              finished = true;
              observer.error(new Error(`数字人任务状态异常：${status}`));
              return;
            }

            if (attempt % this.digitalHumanResultCheckInterval === 0) {
              this.getDigitalHumanWorkResult(resultWorkId).subscribe({
                next: (result) => {
                  if (finished) return;

                  if (result) {
                    finished = true;
                    if (onProgress) {
                      onProgress('数字人视频生成完成！', 100);
                    }
                    observer.next(result);
                    observer.complete();
                    return;
                  }

                  setTimeout(poll, this.pollInterval);
                },
                error: () => {
                  if (!finished) {
                    setTimeout(poll, this.pollInterval);
                  }
                }
              });
              return;
            }

            setTimeout(poll, this.pollInterval);
          },
          error: (err) => {
            if (finished) return;
            consecutiveQueryErrors += 1;
            const status = err?.status;

            // 状态接口连续异常时，回退尝试结果接口，避免被一直 500 卡住
            if (consecutiveQueryErrors >= QUERY_ERROR_THRESHOLD) {
              if (consecutiveQueryErrors === QUERY_ERROR_THRESHOLD) {
                console.warn(`⚠️ 即梦状态接口连续 ${QUERY_ERROR_THRESHOLD} 次异常 (status=${status})，回退到结果接口轮询`);
              }
              if (onProgress) {
                const progress = Math.min(10 + (attempt / this.digitalHumanPollMaxAttempts) * 90, 99);
                onProgress(`服务端临时异常，正在尝试直接获取结果...（${consecutiveQueryErrors}）`, progress);
              }
              this.getDigitalHumanWorkResult(resultWorkId).subscribe({
                next: (result) => {
                  if (finished) return;
                  if (result) {
                    finished = true;
                    if (onProgress) onProgress('数字人视频生成完成！', 100);
                    observer.next(result);
                    observer.complete();
                    return;
                  }
                  if (attempt < this.digitalHumanPollMaxAttempts) {
                    setTimeout(poll, this.pollInterval * 2);
                  } else {
                    observer.error(err);
                  }
                },
                error: () => {
                  if (finished) return;
                  if (attempt < this.digitalHumanPollMaxAttempts) {
                    setTimeout(poll, this.pollInterval * 2);
                  } else {
                    observer.error(err);
                  }
                }
              });
              return;
            }

            if (attempt < this.digitalHumanPollMaxAttempts) {
              setTimeout(poll, this.pollInterval * 2);
            } else {
              observer.error(err);
            }
          }
        });
      };

      poll();
      return () => { finished = true; };
    });
  }

  private getDigitalHumanWorkResult(resultWorkId: string): Observable<{ videoUrl: string; workId: string } | null> {
    return this.getWorkResult(resultWorkId).pipe(
      map((result: JimengWorkResult) => {
        const videoUrl = result?.videos?.[0] || '';
        return videoUrl ? { videoUrl, workId: resultWorkId } : null;
      }),
      catchError(() => of(null))
    );
  }

  generateDigitalHuman(
    workId: string,
    audioUrl: string,
    options: {
      prompt?: string;
      peFastMode?: boolean;
      outputResolution?: '720p' | '1080p';
      maskUrl?: string[];
    } = {},
    onProgress?: (status: string, progress: number) => void
  ): Observable<{ videoUrl: string; workId: string }> {
    const outputResolution = options.outputResolution === '720p' ? 720 : 1080;
    const body = {
      workId,
      audio_url: audioUrl,
      prompt: options.prompt || '',
      pe_fast_mode: !!options.peFastMode,
      output_resolution: outputResolution,
      mask_url: options.maskUrl || [],
      token: this.token
    };

    if (onProgress) onProgress('正在提交数字人生成任务...', 5);

    return this.submitDigitalHumanGenerate(body, onProgress).pipe(
      switchMap((res: any) => {
        const generateTaskId = res?.data?.workId || res?.data?.taskId || res?.data?.task_id || res?.workId || res?.taskId || '';
        const isAccepted = (res?.code === 200 || res?.code === 10000)
          && (res?.data?.isContinue === true || typeof res?.data?.tip === 'string' || !!generateTaskId);

        if (!isAccepted) {
          const requestId = res?.request_id ? ` (request_id: ${res.request_id})` : '';
          const fallback = (() => {
            try {
              return JSON.stringify(res);
            } catch {
              return '数字人生成任务提交失败';
            }
          })();
          throw new Error(`${res?.msg || res?.message || res?.error || fallback}${requestId}`);
        }

        if (onProgress) onProgress('数字人任务已提交，正在生成视频...', 15);

        const pollWorkId = generateTaskId || workId;

        return this.pollDigitalHumanGenerateUntilComplete(pollWorkId, workId, (status, progress) => {
          if (onProgress) onProgress(status || '正在生成数字人视频...', progress);
        }).pipe(
          map((result: { videoUrl: string; workId: string }) => {
            if (onProgress) onProgress('数字人视频生成完成！', 100);
            return result;
          })
        );
      }),
      catchError((err) => {
        if (onProgress) onProgress(`生成失败: ${err.message}`, 0);
        return throwError(() => err);
      })
    );
  }

  private submitDigitalHumanGenerate(
    body: any,
    onProgress?: (status: string, progress: number) => void,
    attempt: number = 1
  ): Observable<any> {
    return this.http.post<any>(`${this.baseUrl}/getOmniHuman`, body, {
      headers: new HttpHeaders({ 'Content-Type': 'application/json' })
    }).pipe(
      tap((res: any) => console.log('🎭 即梦API - 数字人生成提交响应:', res)),
      catchError((err) => {
        const retryCode = this.extractJimengErrorCode(err);
        const shouldRetry = retryCode !== null && this.digitalHumanSubmitRetryableCodes.has(retryCode) && attempt < 3;

        if (!shouldRetry) {
          return throwError(() => err);
        }

        const delayMs = attempt * 4000;
        if (onProgress) {
          onProgress(`数字人接口繁忙，${Math.round(delayMs / 1000)} 秒后自动重试第 ${attempt + 1} 次...`, 8);
        }

        return timer(delayMs).pipe(
          switchMap(() => this.submitDigitalHumanGenerate(body, onProgress, attempt + 1))
        );
      })
    );
  }

  private extractJimengErrorCode(error: any): number | null {
    const detail = error?.error;
    const nested = detail?.message?.errmsg || detail?.errmsg || detail?.error?.errmsg || detail?.message;
    const code = nested?.code ?? detail?.code ?? error?.status;
    return typeof code === 'number' ? code : Number.isFinite(Number(code)) ? Number(code) : null;
  }

  // 轮询任务直到完成，返回最终视频/图片URL
  pollUntilComplete(
    workId: string,
    routerName: string,
    onProgress?: (status: JimengTaskStatus, attempt: number) => void
  ): Observable<JimengWorkResult> {
    return new Observable<JimengWorkResult>(observer => {
      let attempt = 0;
      let finished = false;

      const poll = () => {
        if (finished) return;
        attempt++;

        if (attempt > this.pollMaxAttempts) {
          observer.error(new Error(`轮询超时：已达最大尝试次数 ${this.pollMaxAttempts}`));
          return;
        }

        this.queryTask(workId, routerName).subscribe({
          next: (res: any) => {
            if (finished) return;

            const status: JimengTaskStatus = {
              tip: res?.data?.tip || '处理中...',
              isFinish: res?.data?.isFinish === true,
              isContinue: res?.data?.isContinue === true
            };

            if (onProgress) {
              onProgress(status, attempt);
            }

            console.log(`🔄 轮询 #${attempt}: ${status.tip}, isFinish=${status.isFinish}`);

            if (status.isFinish) {
              finished = true;
              // 任务完成，获取最终结果
              this.getWorkResult(workId).subscribe({
                next: (result) => {
                  observer.next(result);
                  observer.complete();
                },
                error: (err) => observer.error(err)
              });
            } else {
              // 继续轮询
              setTimeout(poll, this.pollInterval);
            }
          },
          error: (err) => {
            if (!finished) {
              console.warn(`轮询出错 #${attempt}:`, err);
              // 出错也继续重试
              if (attempt < this.pollMaxAttempts) {
                setTimeout(poll, this.pollInterval * 2);
              } else {
                observer.error(err);
              }
            }
          }
        });
      };

      poll();

      // 返回清理函数
      return () => { finished = true; };
    });
  }

  // 完整的AI重塑流程：提交任务 → 轮询 → 获取结果
  remixVideo(
    prompt: string,
    options: {
      method?: '1' | '2';
      frames?: number;
      aspectRatio?: string;
      imageUrl?: string;
      quality?: '720p' | '1080p' | 'pro';
    } = {},
    onProgress?: (status: string, progress: number) => void
  ): Observable<{ videoUrl: string; workId: string }> {
    const method = options.method || '1';
    const quality = options.quality || '1080p';

    const request: JimengVideoRequest = {
      prompt,
      method,
      frames: options.frames || 121,
      config: method === '1'
        ? { aspect_ratio: options.aspectRatio || '16:9' }
        : { image_urls: options.imageUrl ? [options.imageUrl] : [] }
    };

    if (onProgress) onProgress('正在提交生成任务...', 5);

    const generateFn = quality === 'pro'
      ? this.generateVideoPro(request)
      : quality === '720p'
        ? this.generateVideo720p(request)
        : this.generateVideo1080p(request);

    return generateFn.pipe(
      switchMap((res: any) => {
        if (res?.code !== 200 || !res?.data?.workId) {
          throw new Error(res?.msg || '任务提交失败');
        }

        const workId = res.data.workId;
        console.log(`✅ 任务已提交, workId=${workId}`);
        if (onProgress) onProgress('任务已提交，正在生成视频...', 15);

        const routerName = quality === 'pro' ? 'getVideoV3_Pro' : quality === '720p' ? 'getVideoV3_720p' : 'getVideoV3_1080p';

        return this.pollUntilComplete(workId, routerName, (status, attempt) => {
          const progressPercent = Math.min(15 + (attempt / this.pollMaxAttempts) * 75, 90);
          if (onProgress) onProgress(status.tip || '正在生成视频...', progressPercent);
        }).pipe(
          map((result: JimengWorkResult) => {
            const videoUrl = result.videos?.[0] || '';
            if (!videoUrl) {
              throw new Error('未获取到视频URL');
            }
            if (onProgress) onProgress('视频生成完成！', 100);
            return { videoUrl, workId };
          })
        );
      }),
      catchError((err) => {
        if (onProgress) onProgress(`生成失败: ${err.message}`, 0);
        return throwError(() => err);
      })
    );
  }

  // ==================== 一键成片（视频拼接） ====================

  // Quickly 平台凭证
  private readonly quicklyAppKey = 'ZmNmOGRhNjYzZTAx';
  private readonly quicklyAppSecret = 'eaa12154c248cad9159a9d6ea8bedf46';
  private readonly quicklyAccountId = '12859_117409';
  private readonly quicklyCallbackUrl = 'https://server.fmode.cn/api/functions/cut/onemerge';

  // 生成 Quickly 签名
  private generateQuicklySign(): { timestamp: string; sign: string } {
    const timestamp = Date.now().toString();
    const signStr = timestamp + '#' + this.quicklyAppSecret;
    const sign = md5(signStr);
    return { timestamp, sign };
  }

  // 提交一键成片任务（通过本地后端代理，服务端签名）
  stitchVideos(
    videoUrls: string[],
    options: {
      tags?: string;
      proportion?: '9:16' | '3:4' | '1:1';
      videoDuration?: { min: number; max: number };
      aiVoice?: number;
      aiBgm?: number;
      aiSubtitle?: number;
    } = {}
  ): Observable<string> {
    console.log('🎬 一键成片 - 通过后端代理提交:', { videoUrls: videoUrls.length, options });

    return this.http.post<any>('/backend/api/quickly/create', {
      videoUrls,
      options
    }).pipe(
      map((res: any) => {
        console.log('🎬 一键成片 - 响应:', res);
        const taskId = res?.data?.task_id || res?.task_id;
        if (!taskId) {
          throw new Error(res?.message || JSON.stringify(res) || '一键成片任务提交失败');
        }
        console.log(`✅ 一键成片任务已提交, taskId=${taskId}`);
        return taskId;
      }),
      catchError(this.handleError('stitchVideos'))
    );
  }

  // 查询一键成片结果（通过本地后端代理）
  queryStitchResult(taskId: string): Observable<any[]> {
    return this.http.post<any>('/backend/api/quickly/query', { taskId }).pipe(
      map((res: any) => {
        if (res?.data && Array.isArray(res.data)) {
          return res.data;
        }
        return [];
      }),
      catchError(this.handleError('queryStitchResult'))
    );
  }

  // 轮询一键成片结果直到完成
  pollStitchUntilComplete(
    taskId: string,
    onProgress?: (status: string, attempt: number) => void
  ): Observable<{ videoUrl: string; coverUrl: string; duration: number }> {
    const STITCH_POLL_INTERVAL = 15000;
    const STITCH_POLL_MAX = 40;

    return new Observable(observer => {
      let attempt = 0;
      let finished = false;

      const poll = () => {
        if (finished) return;
        attempt++;

        if (attempt > STITCH_POLL_MAX) {
          observer.error(new Error(`一键成片轮询超时：已达最大尝试次数 ${STITCH_POLL_MAX}`));
          return;
        }

        if (onProgress) onProgress(`正在合成视频... (${attempt}/${STITCH_POLL_MAX})`, attempt);

        this.queryStitchResult(taskId).subscribe({
          next: (data) => {
            if (finished) return;
            console.log(`🔄 一键成片轮询 #${attempt}: ${data.length} 条结果`);

            if (data.length > 0) {
              finished = true;
              const result = data[0];
              observer.next({
                videoUrl: result.videoUrl,
                coverUrl: result.coverUrl || '',
                duration: result.videoDuration || 0
              });
              observer.complete();
            } else {
              setTimeout(poll, STITCH_POLL_INTERVAL);
            }
          },
          error: (err) => {
            if (!finished && attempt < STITCH_POLL_MAX) {
              setTimeout(poll, STITCH_POLL_INTERVAL);
            } else if (!finished) {
              observer.error(err);
            }
          }
        });
      };

      poll();
      return () => { finished = true; };
    });
  }

  private handleError(operation: string) {
    return (error: any): Observable<never> => {
      console.error(`即梦API [${operation}] 错误:`, error);

      const rawDetail = error?.error;
      let detail = rawDetail;

      if (typeof rawDetail === 'string') {
        try {
          detail = JSON.parse(rawDetail);
        } catch {
          detail = rawDetail;
        }
      }

      const nestedErrmsg = typeof detail === 'object'
        ? detail?.message?.errmsg || detail?.errmsg || detail?.error?.errmsg || null
        : null;

      const requestIdValue = nestedErrmsg?.request_id || (typeof detail === 'object' ? detail?.request_id : '');
      const requestId = requestIdValue ? ` (request_id: ${requestIdValue})` : '';
      const message = typeof detail === 'object'
        ? nestedErrmsg?.message || detail?.msg || detail?.message?.tip || detail?.message || detail?.error || error?.message
        : typeof detail === 'string' && detail.trim()
          ? detail
          : error?.message || `即梦API ${operation} 调用失败`;

      const fallbackDetail = (() => {
        if (!rawDetail) return '';
        if (typeof rawDetail === 'string') return rawDetail;
        try {
          return JSON.stringify(rawDetail);
        } catch {
          return '';
        }
      })();

      const finalMessage = message && !/^Http failure response/i.test(message)
        ? `${message}${requestId}`
        : `${message || `即梦API ${operation} 调用失败`}${requestId}${fallbackDetail ? ` | detail: ${fallbackDetail}` : ''}`;

      const normalizedError = new Error(finalMessage);
      (normalizedError as any).raw = error;

      return throwError(() => normalizedError);
    };
  }
}