import type { VideoCanvasModelCatalogEntry } from "@/lib/video-canvas/video-model-catalog";

export type VideoCanvasNodeCreationConfig = {
  audio: {
    advancedSettingsOpen: boolean;
  };
  image: {
    count: number;
    height: number;
    modelLabel: string;
    quality: string;
    ratio: string;
    size: string;
    width: number;
  };
  upload: {
    accept: string;
    maxFileSizeMb: number;
    maxFiles: number;
    placementGap: number;
  };
  video: {
    count: number;
    durationSeconds: number;
    generateAudio: boolean;
    height: number;
    modelCatalogId: string;
    ratio: string;
    resolution: string;
    width: number;
  };
};

export const defaultVideoCanvasNodeCreationConfig: VideoCanvasNodeCreationConfig = {
  audio: {
    advancedSettingsOpen: true,
  },
  image: {
    count: 1,
    height: 350,
    modelLabel: "Lib Image",
    quality: "标准画质",
    ratio: "16:9",
    size: "2K",
    width: 622,
  },
  upload: {
    accept: "image/*,video/*,audio/*",
    maxFileSizeMb: 50,
    maxFiles: 10,
    placementGap: 450,
  },
  video: {
    count: 1,
    durationSeconds: 5,
    generateAudio: true,
    height: 350,
    modelCatalogId: "seedance-1-5-pro",
    ratio: "16:9",
    resolution: "1080P",
    width: 622,
  },
};

function isRecord(value: unknown): value is Record<string, unknown> {
  return Boolean(value) && typeof value === "object" && !Array.isArray(value);
}

function normalizeInteger(value: unknown, fallback: number, minimum: number, maximum: number) {
  const parsed = Number(value);
  if (!Number.isFinite(parsed)) return fallback;
  return Math.max(minimum, Math.min(maximum, Math.round(parsed)));
}

function normalizeLabel(value: unknown, fallback: string, maximumLength = 80) {
  return String(value || "").trim().slice(0, maximumLength) || fallback;
}

export function normalizeVideoCanvasNodeCreationConfig(
  value: unknown,
): VideoCanvasNodeCreationConfig {
  const fallback = defaultVideoCanvasNodeCreationConfig;
  const incoming = isRecord(value) ? value : {};
  const incomingAudio = isRecord(incoming.audio) ? incoming.audio : {};
  const incomingImage = isRecord(incoming.image) ? incoming.image : {};
  const incomingUpload = isRecord(incoming.upload) ? incoming.upload : {};
  const incomingVideo = isRecord(incoming.video) ? incoming.video : {};

  return {
    audio: {
      advancedSettingsOpen:
        typeof incomingAudio.advancedSettingsOpen === "boolean"
          ? incomingAudio.advancedSettingsOpen
          : fallback.audio.advancedSettingsOpen,
    },
    image: {
      count: normalizeInteger(incomingImage.count, fallback.image.count, 1, 4),
      height: normalizeInteger(incomingImage.height, fallback.image.height, 240, 1200),
      modelLabel: normalizeLabel(incomingImage.modelLabel, fallback.image.modelLabel),
      quality: normalizeLabel(incomingImage.quality, fallback.image.quality, 40),
      ratio: normalizeLabel(incomingImage.ratio, fallback.image.ratio, 30),
      size: normalizeLabel(incomingImage.size, fallback.image.size, 30),
      width: normalizeInteger(incomingImage.width, fallback.image.width, 240, 1600),
    },
    upload: {
      accept: normalizeLabel(incomingUpload.accept, fallback.upload.accept, 240),
      maxFileSizeMb: normalizeInteger(
        incomingUpload.maxFileSizeMb,
        fallback.upload.maxFileSizeMb,
        1,
        500,
      ),
      maxFiles: normalizeInteger(
        incomingUpload.maxFiles,
        fallback.upload.maxFiles,
        1,
        50,
      ),
      placementGap: normalizeInteger(
        incomingUpload.placementGap,
        fallback.upload.placementGap,
        40,
        2000,
      ),
    },
    video: {
      count: normalizeInteger(incomingVideo.count, fallback.video.count, 1, 4),
      durationSeconds: normalizeInteger(
        incomingVideo.durationSeconds,
        fallback.video.durationSeconds,
        1,
        60,
      ),
      generateAudio:
        typeof incomingVideo.generateAudio === "boolean"
          ? incomingVideo.generateAudio
          : fallback.video.generateAudio,
      height: normalizeInteger(incomingVideo.height, fallback.video.height, 240, 1200),
      modelCatalogId: normalizeLabel(
        incomingVideo.modelCatalogId,
        fallback.video.modelCatalogId,
        120,
      ),
      ratio: normalizeLabel(incomingVideo.ratio, fallback.video.ratio, 30),
      resolution: normalizeLabel(
        incomingVideo.resolution,
        fallback.video.resolution,
        30,
      ).toUpperCase(),
      width: normalizeInteger(incomingVideo.width, fallback.video.width, 240, 1600),
    },
  };
}

export function getInitialVideoCanvasNodeCreationOrdinal(
  nodes: Array<{ title?: string | null }>,
) {
  const highestSuffix = nodes.reduce((maximum, node) => {
    const match = String(node.title || "").trim().match(/(?:^|\s)(\d+)$/);
    return match ? Math.max(maximum, Number.parseInt(match[1], 10)) : maximum;
  }, 0);
  return Math.max(1, nodes.length, highestSuffix + 1);
}

export function resolveVideoCanvasCreationModel(
  config: VideoCanvasNodeCreationConfig,
  catalog: VideoCanvasModelCatalogEntry[],
) {
  const selected =
    catalog.find((entry) => entry.enabled && entry.id === config.video.modelCatalogId) ||
    catalog.find((entry) => entry.enabled) ||
    catalog[0];
  return {
    catalogId: selected?.id || config.video.modelCatalogId,
    label: selected?.label || "自动模型",
    modelRef: selected?.modelRef || "auto",
  };
}

export function buildVideoCanvasImageCreationParams(
  config: VideoCanvasNodeCreationConfig,
): Record<string, unknown> {
  return {
    count: config.image.count,
    imageCount: config.image.count,
    imageQuality: config.image.quality,
    imageSize: config.image.size,
    modelLabel: config.image.modelLabel,
    ratio: config.image.ratio,
    settings: {
      count: config.image.count,
      imageQuality: config.image.quality,
      imageSize: config.image.size,
      modelLabel: config.image.modelLabel,
      ratio: config.image.ratio,
    },
  };
}

export function buildVideoCanvasVideoCreationParams(
  config: VideoCanvasNodeCreationConfig,
  catalog: VideoCanvasModelCatalogEntry[],
): Record<string, unknown> {
  const model = resolveVideoCanvasCreationModel(config, catalog);
  const audio = config.video.generateAudio ? "开启" : "关闭";
  return {
    audio: config.video.generateAudio,
    count: config.video.count,
    duration: config.video.durationSeconds,
    mode: "text-to-video",
    model: model.modelRef,
    ratio: config.video.ratio,
    resolution: config.video.resolution.toLowerCase(),
    settings: {
      audio,
      count: `${config.video.count}个`,
      duration: `${config.video.durationSeconds}s`,
      mode: "text-to-video",
      model: model.modelRef,
      modelCatalogId: model.catalogId,
      modelLabel: model.label,
      ratio: config.video.ratio,
      resolution: config.video.resolution,
    },
  };
}