import { Buffer } from 'node:buffer';
import {
  existsSync,
  mkdirSync,
  readFileSync,
  readdirSync,
  writeFileSync,
} from 'node:fs';
import path from 'node:path';

const repoRoot = process.cwd();
const outputDir = path.join(
  repoRoot,
  'public',
  'branding',
  'taonier-logo-abstract-mascot-image2-concepts',
);
const defaultTimeoutMs = 420000;

const concepts = [
  {
    id: 'taonier-image2-clay-spirit-glyph',
    title: '泥灵符号',
    prompt:
      '为中文产品“陶泥儿”设计一个无文字 Logo 图标。方向：陶泥人、陶泥手办、抽象角色 / 吉祥物，但不要做人体形象，也不要做完整角色插画。主体像一块被轻轻捏出生命感的陶泥符号：单一圆润剪影，内部一个极简星核或负形孔洞，只有很少的点状生命感。必须是扁平矢量、主流 App icon、简单几何、亲和、醒目、可记忆、小尺寸清晰。配色：奶油白主形、暖陶土橙点缀、深墨背景、少量金色星核。禁止文字、字母、汉字、水印、真实人形、手脚、复杂五官、聊天气泡、播放三角、儿童黏土课、3D、厚阴影、贴纸感。',
  },
  {
    id: 'taonier-image2-pinched-seed-mascot',
    title: '捏胚小偶',
    prompt:
      '为“陶泥儿”设计无文字品牌主标。把“陶泥小人 / 手办 / 吉祥物”的精神压缩成一个非人形的几何泥胚：像一颗被捏过的种子或软陶坯，带一点抽象生命感，但没有手、脚、头发、衣服。中心有一颗极简四角闪光星，表达 AI 把脑洞捏成作品。风格：flat vector mascot mark, modern, friendly, geometric, logo-ready, not illustration。颜色控制在 3 到 4 色：深墨、奶白、陶土橙、暖黄。禁止文字、字母、汉字、真实陶艺工具、儿童玩具、emoji 表情、聊天气泡、播放按钮、复杂装饰、立体渲染。',
  },
  {
    id: 'taonier-image2-soft-totem-creature',
    title: '软陶图灵',
    prompt:
      '为“陶泥儿”设计无文字 Logo。主体是一个抽象陶泥角色图腾，不是人，也不是动物，而是一枚软陶手办被极简化后的品牌符号：上窄下稳、边缘像手捏过，中央有一个圆形作品核和一个小泥点。要有吉祥物的亲和力，但更像成熟平台主标。风格：bold flat vector, iconic silhouette, playful premium, highly memorable, simple enough for favicon。配色：深色背景、奶油白大形、陶土橙作品核、薄荷青或金色小点。禁止中文英文、复杂脸、两只眼睛加嘴的头像感、人体、手、脚、聊天气泡、播放三角、3D 质感。',
  },
  {
    id: 'taonier-image2-clay-pocket-token',
    title: '口袋泥符',
    prompt:
      '为“陶泥儿”设计一个能做 App icon 的无文字主 Logo。方向是“抽象口袋陶泥手办”：它像一个可以被收藏的小软陶 token，但不能是具体人物。主图形由一个圆角几何泥块、一处被捏出的缺口、一枚小星核组成，轮廓要一眼能记住。气质年轻、Q、可爱但不幼稚，适合 AI UGC 轻休闲小游戏平台。扁平矢量感，少色，高对比。禁止文字、字母、水印、真实人脸、手脚、表情包、聊天气泡、播放按钮、过多小元素、3D、照片感。',
  },
  {
    id: 'taonier-image2-work-core-puppet',
    title: '作品泥偶',
    prompt:
      '为“陶泥儿”设计无文字 Logo 图标。把陶泥手办的收藏感、AI 创作的作品核、UGC 玩梗传播的轻松感融合成一个抽象泥偶符号。不要画成人体，只用几何软块和负形孔洞表现“像有生命的陶泥作品”。主体简单、厚实、圆润，中心一枚四角星或小圆核，最多两个辅助泥点。风格：minimal vector mascot logo, clean, premium cute, mainstream consumer app icon。颜色：奶白、陶土橙、深墨、暖黄，可少量青绿。禁止文字、英文、汉字、复杂背景、复杂五官、真实手办、玩具包装、儿童黏土、3D 厚重阴影。',
  },
  {
    id: 'taonier-image2-mold-blob-companion',
    title: '模团伙伴',
    prompt:
      '为“陶泥儿”做一个无文字 Logo 主标。方向：非人形抽象吉祥物，像一团被模具轻轻压出的陶泥伙伴。整体是一个简单几何软形，带一个偏心孔洞和一个小闪光星，让人感觉它能承载用户脑洞、生成小游戏作品。要求主流、亲和、可爱、扁平、矢量、识别强，不能像插画或头像。配色：深墨底、奶油白主体、陶土橙和暖黄点缀，最多 4 色。禁止文字、字母、汉字、水印、手脚、五官表情、聊天气泡、播放三角、复杂碎片、3D、真实陶泥照片。',
  },
];

const args = new Map();
for (let index = 2; index < process.argv.length; index += 1) {
  const raw = process.argv[index];
  if (!raw.startsWith('--')) {
    continue;
  }
  const next = process.argv[index + 1];
  if (next && !next.startsWith('--')) {
    args.set(raw, next);
    index += 1;
  } else {
    args.set(raw, true);
  }
}

function readDotenv(fileName) {
  const filePath = path.join(repoRoot, fileName);
  if (!existsSync(filePath)) {
    return {};
  }

  const values = {};
  for (const line of readFileSync(filePath, 'utf8').split(/\r?\n/u)) {
    const trimmed = line.trim();
    if (!trimmed || trimmed.startsWith('#')) {
      continue;
    }
    const match = /^([A-Za-z_][A-Za-z0-9_]*)=(.*)$/u.exec(trimmed);
    if (!match) {
      continue;
    }
    let value = match[2].trim();
    if (
      (value.startsWith('"') && value.endsWith('"')) ||
      (value.startsWith("'") && value.endsWith("'"))
    ) {
      value = value.slice(1, -1);
    }
    values[match[1]] = value;
  }
  return values;
}

function resolveEnv() {
  const loaded = {
    ...readDotenv('.env.example'),
    ...readDotenv('.env.local'),
    ...readDotenv('.env.secrets.local'),
    ...process.env,
  };
  return {
    baseUrl: String(loaded.VECTOR_ENGINE_BASE_URL || '')
      .trim()
      .replace(/\/+$/u, ''),
    apiKey: String(loaded.VECTOR_ENGINE_API_KEY || '').trim(),
    timeoutMs: Number.parseInt(
      String(loaded.VECTOR_ENGINE_IMAGE_REQUEST_TIMEOUT_MS || defaultTimeoutMs),
      10,
    ),
  };
}

function buildUrl(baseUrl) {
  return baseUrl.endsWith('/v1')
    ? `${baseUrl}/images/generations`
    : `${baseUrl}/v1/images/generations`;
}

function collectStringsByKey(value, targetKey, output) {
  if (Array.isArray(value)) {
    value.forEach((entry) => collectStringsByKey(entry, targetKey, output));
    return;
  }
  if (!value || typeof value !== 'object') {
    return;
  }
  for (const [key, nested] of Object.entries(value)) {
    if (key === targetKey) {
      if (typeof nested === 'string' && nested.trim()) {
        output.push(nested.trim());
      }
      if (Array.isArray(nested)) {
        nested.forEach((entry) => {
          if (typeof entry === 'string' && entry.trim()) {
            output.push(entry.trim());
          }
        });
      }
    }
    collectStringsByKey(nested, targetKey, output);
  }
}

function extractImageUrls(payload) {
  const urls = [];
  collectStringsByKey(payload, 'url', urls);
  collectStringsByKey(payload, 'image', urls);
  collectStringsByKey(payload, 'image_url', urls);
  return [...new Set(urls)].filter((url) => /^https?:\/\//u.test(url));
}

function extractBase64Images(payload) {
  const values = [];
  collectStringsByKey(payload, 'b64_json', values);
  return values;
}

function inferExtensionFromBytes(bytes) {
  if (bytes.subarray(0, 8).equals(Buffer.from('\x89PNG\r\n\x1A\n', 'binary'))) {
    return 'png';
  }
  if (bytes.subarray(0, 3).equals(Buffer.from([0xff, 0xd8, 0xff]))) {
    return 'jpg';
  }
  if (
    bytes.subarray(0, 4).toString('ascii') === 'RIFF' &&
    bytes.subarray(8, 12).toString('ascii') === 'WEBP'
  ) {
    return 'webp';
  }
  return 'png';
}

async function fetchJson(url, options, timeoutMs) {
  const abortController = new AbortController();
  const timer = setTimeout(() => abortController.abort(), timeoutMs);
  try {
    const response = await fetch(url, {
      ...options,
      signal: abortController.signal,
    });
    const text = await response.text();
    if (!response.ok) {
      throw new Error(`VectorEngine ${response.status}: ${text.slice(0, 600)}`);
    }
    return JSON.parse(text);
  } catch (error) {
    if (error?.name === 'AbortError') {
      throw new Error(`VectorEngine request timed out after ${timeoutMs}ms`);
    }
    throw error;
  } finally {
    clearTimeout(timer);
  }
}

async function downloadUrl(url, timeoutMs) {
  const abortController = new AbortController();
  const timer = setTimeout(() => abortController.abort(), timeoutMs);
  try {
    const response = await fetch(url, { signal: abortController.signal });
    if (!response.ok) {
      throw new Error(`download ${response.status}`);
    }
    return Buffer.from(await response.arrayBuffer());
  } catch (error) {
    if (error?.name === 'AbortError') {
      throw new Error(`Generated image download timed out after ${timeoutMs}ms`);
    }
    throw error;
  } finally {
    clearTimeout(timer);
  }
}

async function generateConcept(env, concept) {
  const requestBody = {
    model: 'gpt-image-2-all',
    quality: String(args.get('--quality') || 'low'),
    prompt: concept.prompt,
    n: 1,
    size: '1024x1024',
  };
  const payload = await fetchJson(
    buildUrl(env.baseUrl),
    {
      method: 'POST',
      headers: {
        Authorization: `Bearer ${env.apiKey}`,
        Accept: 'application/json',
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(requestBody),
    },
    env.timeoutMs,
  );

  const urls = extractImageUrls(payload);
  const b64Images = extractBase64Images(payload);
  let bytes;
  if (urls[0]) {
    bytes = await downloadUrl(urls[0], env.timeoutMs);
  } else if (b64Images[0]) {
    bytes = Buffer.from(b64Images[0], 'base64');
  } else {
    throw new Error(`VectorEngine returned no image for ${concept.id}`);
  }

  mkdirSync(outputDir, { recursive: true });
  const extension = inferExtensionFromBytes(bytes);
  const outputPath = path.join(outputDir, `${concept.id}.${extension}`);
  writeFileSync(outputPath, bytes);
  return outputPath;
}

const dryRun = args.has('--dry-run') || !args.has('--live');
const onlyIds = String(args.get('--only') || '')
  .split(',')
  .map((value) => value.trim())
  .filter(Boolean);
const limit = Number.parseInt(String(args.get('--limit') || '0'), 10);
const selected = concepts
  .filter((concept) => !onlyIds.length || onlyIds.includes(concept.id))
  .slice(0, limit > 0 ? limit : concepts.length);

if (dryRun) {
  console.log(
    JSON.stringify(
      {
        mode: 'dry-run',
        outputDir,
        count: selected.length,
        requests: selected.map((concept) => ({
          id: concept.id,
          title: concept.title,
          body: {
            model: 'gpt-image-2-all',
            quality: String(args.get('--quality') || 'low'),
            prompt: concept.prompt,
            n: 1,
            size: '1024x1024',
          },
        })),
      },
      null,
      2,
    ),
  );
  process.exit(0);
}

const env = resolveEnv();
if (!env.baseUrl || !env.apiKey) {
  console.error(
    JSON.stringify({
      ok: false,
      error: 'Missing VECTOR_ENGINE_BASE_URL or VECTOR_ENGINE_API_KEY',
      hasBaseUrl: Boolean(env.baseUrl),
      hasApiKey: Boolean(env.apiKey),
    }),
  );
  process.exit(1);
}

const generated = [];
for (const concept of selected) {
  console.log(`Generating ${concept.id}...`);
  generated.push(await generateConcept(env, concept));
}

console.log(
  JSON.stringify(
    {
      ok: true,
      count: generated.length,
      files: generated,
      verifiedFiles: readdirSync(outputDir).sort(),
    },
    null,
    2,
  ),
);