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-spiral-reference-concepts',
);
const defaultTimeoutMs = 420000;
const defaultReferenceImagePath = path.join(
  outputDir,
  'taonier-spiral-reference.jpg',
);

const concepts = [
  {
    id: 'taonier-spiral-soft-squish',
    title: '软泥旋合',
    prompt:
      '参考输入图的粗圆头螺旋动势，但不要照抄黑白图，也不要使用黑底白线。为中文产品“陶泥儿”设计一个无文字扁平矢量 Logo。结合此前认可的“软泥合拍”造型：上下两团抽象软泥被旋转吸入中心，像把脑洞轻轻揉成作品。上方使用糖果莓粉 / 珊瑚粉，下方使用薄荷青 / 青绿，中央一颗暖黄色小星点。整体主流、亲和、Q 弹、可爱但不幼稚，适合作为 App icon。禁止真实手、手指、播放键、聊天气泡、笑脸、眼睛、花朵、褐色陶土、文字、字母、水印、3D、厚阴影、复杂碎元素。',
  },
  {
    id: 'taonier-spiral-candy-roll',
    title: '糖果泥卷',
    prompt:
      '以参考输入图的单笔圆头旋涡为结构灵感，为“陶泥儿”设计一个无文字扁平矢量 Logo。图形像一条柔软陶泥带被卷成可爱的糖果泥卷，但需要保留上下双色软泥合拍的感觉：外侧莓粉，内侧薄荷青，中心有小小暖黄星核。造型要圆润、干净、强记忆点，小尺寸清晰，像年轻创作娱乐 App 的主标。不要直接做黑白旋涡，不要做催眠、棒棒糖、浏览器加载、循环箭头或太极图。禁止文字、字母、水印、3D、真实陶艺、聊天气泡、播放三角、笑脸、眼睛。',
  },
  {
    id: 'taonier-spiral-star-core',
    title: '星核涡标',
    prompt:
      '使用参考输入图的向心旋转和包裹感，设计“陶泥儿”无文字扁平矢量 Logo。两块软泥形沿螺旋方向轻轻包住中央作品星核，像 AI 把灵感旋成小游戏。整体比普通旋涡更像品牌符号：线条粗、端点圆、负形干净，不能像手或眼睛。配色沿用陶泥儿前序方向：莓粉 / 珊瑚粉、薄荷青 / 青绿、奶油白、暖黄色星点。风格主流、亲和、可爱、现代、清晰。禁止黑白原图复刻、聊天气泡、播放键、笑脸、花朵、真实手指、褐色主色、文字、水印。',
  },
  {
    id: 'taonier-spiral-bouncy-clay',
    title: 'Q弹泥涡',
    prompt:
      '参考输入图的圆润螺旋，但把它转化成“陶泥儿”的 Q 弹软泥 Logo：两条短而厚的软泥弧线从上下错位旋入中心，中间不是黑洞，而是一颗小星 / 小作品核。颜色更可爱：粉桃、薄荷、奶油白、暖黄。图形要比参考更轻、更甜、更品牌化，保留一点“软泥合拍”的上下关系。适合 App icon 和启动页。不要像棒棒糖、蚊香、加载图标、太极、旋风、眼睛、聊天气泡、播放按钮；禁止文字、字母、水印、3D。',
  },
  {
    id: 'taonier-spiral-creation-whirl',
    title: '创作星涡',
    prompt:
      '结合参考输入图的螺旋势能和陶泥儿此前“软泥合拍”的粉绿配色，设计无文字扁平矢量 Logo。主形是一个开放式旋涡，像软泥被轻轻揉动，中心生成暖黄色四角星。整体要活泼、生动、主流、容易记住，不要太抽象成通用旋涡。形体应保留圆头粗线和柔软手感，但不能出现具体手。颜色：亮莓粉、清爽薄荷青、奶白、暖黄，最多四色。禁止黑白照搬、褐色陶土、播放三角、聊天气泡、笑脸、眼睛、花朵、文字、水印、复杂碎点。',
  },
  {
    id: 'taonier-spiral-soft-token',
    title: '旋合软标',
    prompt:
      '以参考输入图的粗线螺旋为参考，为“陶泥儿”做更成熟的 App icon 主标。把螺旋收敛成一个完整圆润的软泥符号：上半莓粉，下半青绿，中间用奶白负形形成自然旋转缝隙，中心保留一枚小暖黄星点。它需要兼顾精品 AI 创作、UGC、小游戏和传播感，不能太儿童、不能太像加载图。风格：flat vector logo, clean, friendly, cute, memorable, scalable, solid colors。禁止文字、字母、水印、3D、厚阴影、真实手、播放键、聊天气泡、笑脸、眼睛、太极、棒棒糖。',
  },
];

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 getMimeType(filePath) {
  const extension = path.extname(filePath).toLowerCase();
  if (extension === '.jpg' || extension === '.jpeg') {
    return 'image/jpeg';
  }
  if (extension === '.webp') {
    return 'image/webp';
  }
  return 'image/png';
}

function readReferenceDataUrl(filePath) {
  const bytes = readFileSync(filePath);
  return `data:${getMimeType(filePath)};base64,${bytes.toString('base64')}`;
}

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, referenceDataUrl) {
  const requestBody = {
    model: 'gpt-image-2-all',
    quality: String(args.get('--quality') || 'low'),
    prompt: concept.prompt,
    image: [referenceDataUrl],
    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 referenceImagePath = String(
  args.get('--reference') || defaultReferenceImagePath,
);
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 (!existsSync(referenceImagePath)) {
  console.error(
    JSON.stringify({
      ok: false,
      error: 'Reference image not found',
      referenceImagePath,
    }),
  );
  process.exit(1);
}

const referenceDataUrl = readReferenceDataUrl(referenceImagePath);

if (dryRun) {
  console.log(
    JSON.stringify(
      {
        mode: 'dry-run',
        outputDir,
        referenceImagePath,
        referenceImage: {
          mimeType: getMimeType(referenceImagePath),
          dataUrlLength: referenceDataUrl.length,
        },
        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,
            image: ['<reference image data URL omitted>'],
            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, referenceDataUrl));
}

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