352 lines
9.9 KiB
JavaScript
352 lines
9.9 KiB
JavaScript
import { Buffer } from 'node:buffer';
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import { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';
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import path from 'node:path';
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import { fileURLToPath } from 'node:url';
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = path.dirname(__filename);
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const skillRoot = path.resolve(__dirname, '..');
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const repoRoot = path.resolve(skillRoot, '..', '..', '..');
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const defaultOutDir = path.join(repoRoot, 'public', 'anthro-cat-illustrations');
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const defaultTimeoutMs = 180000;
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const prompts = [
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{
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id: 'cat-barista',
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title: '咖啡师猫咪',
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subject:
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'一只奶油色猫咪像人一样双足站立，穿深绿色围裙，在温暖咖啡馆吧台前专注拉花，爪子扶着咖啡杯，蓬松尾巴自然弯起，童书级精致插画，柔和自然光，主体清晰。',
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},
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{
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id: 'cat-detective',
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title: '侦探猫咪',
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subject:
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'一只黑白猫咪像侦探一样双足站在雨后街角，穿短风衣和小帽子，单爪拿放大镜，另一只爪插兜，路灯和湿润石板路反光，电影感但可爱，插画风格。',
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},
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{
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id: 'cat-dancer',
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title: '舞者猫咪',
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subject:
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'一只橘猫以拟人舞者姿态单脚旋转，穿轻盈舞台披肩，前爪展开，尾巴形成优雅弧线，背景是暖色小剧场灯光，动作灵动，精致插画。',
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},
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{
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id: 'cat-knight',
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title: '骑士猫咪',
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subject:
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'一只银灰猫咪像小骑士一样站在苔藓石台上，披短斗篷，双爪握着细剑指向地面，姿态勇敢但可亲，远处森林微光，奇幻插画风格。',
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},
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{
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id: 'cat-painter',
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title: '画家猫咪',
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subject:
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'一只三花猫咪双足站在画架前，穿宽松蓝色工作衫，一爪拿画笔一爪托调色盘，鼻尖有颜料点，窗边画室阳光明亮，温柔手绘插画。',
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},
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{
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id: 'cat-astronaut',
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title: '宇航员猫咪',
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subject:
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'一只白猫咪以拟人宇航员姿态站在月面，透明头盔内露出猫脸，尾巴在宇航服后轻轻翘起，爪子向远处蓝色星球敬礼，梦幻插画风格。',
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},
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];
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const args = new Map();
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for (let index = 2; index < process.argv.length; index += 1) {
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const raw = process.argv[index];
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if (raw.startsWith('--')) {
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const next = process.argv[index + 1];
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if (next && !next.startsWith('--')) {
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args.set(raw, next);
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index += 1;
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} else {
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args.set(raw, true);
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}
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}
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}
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function readDotenv(fileName) {
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const filePath = path.join(repoRoot, fileName);
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if (!existsSync(filePath)) {
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return {};
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}
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const values = {};
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for (const line of readFileSync(filePath, 'utf8').split(/\r?\n/u)) {
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const trimmed = line.trim();
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if (!trimmed || trimmed.startsWith('#')) {
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continue;
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}
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const match = /^([A-Za-z_][A-Za-z0-9_]*)=(.*)$/u.exec(trimmed);
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if (!match) {
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continue;
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}
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let value = match[2].trim();
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if (
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(value.startsWith('"') && value.endsWith('"')) ||
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(value.startsWith("'") && value.endsWith("'"))
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) {
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value = value.slice(1, -1);
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}
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values[match[1]] = value;
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}
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return values;
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}
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function resolveEnv() {
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const loaded = {
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...readDotenv('.env.example'),
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...readDotenv('.env.local'),
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...readDotenv('.env.secrets.local'),
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...process.env,
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};
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return {
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baseUrl: String(loaded.VECTOR_ENGINE_BASE_URL || '')
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.trim()
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.replace(/\/+$/u, ''),
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apiKey: String(loaded.VECTOR_ENGINE_API_KEY || '').trim(),
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timeoutMs: Number.parseInt(
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String(loaded.VECTOR_ENGINE_IMAGE_REQUEST_TIMEOUT_MS || defaultTimeoutMs),
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10,
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),
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};
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}
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function buildVectorEngineImagesGenerationUrl(baseUrl) {
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return baseUrl.endsWith('/v1')
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? `${baseUrl}/images/generations`
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: `${baseUrl}/v1/images/generations`;
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}
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function buildPrompt(entry) {
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return [
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'请生成一张高清 1:1 方形插画。',
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`画面主体：${entry.subject}`,
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'要求：猫咪保留清晰猫脸、猫耳、猫尾和毛发质感，但身体姿态像人一样自然；构图完整，角色占画面主体，适合作为项目插画素材。',
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'避免：文字、水印、边框、按钮、UI 元素、低清晰度、过度写实恐怖感、畸形肢体、多余手指。',
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].join('');
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}
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function collectStringsByKey(value, targetKey, output) {
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if (Array.isArray(value)) {
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value.forEach((entry) => collectStringsByKey(entry, targetKey, output));
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return;
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}
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if (!value || typeof value !== 'object') {
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return;
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}
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for (const [key, nested] of Object.entries(value)) {
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if (key === targetKey) {
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if (typeof nested === 'string' && nested.trim()) {
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output.push(nested.trim());
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}
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if (Array.isArray(nested)) {
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nested.forEach((entry) => {
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if (typeof entry === 'string' && entry.trim()) {
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output.push(entry.trim());
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}
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});
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}
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}
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collectStringsByKey(nested, targetKey, output);
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}
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}
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function extractImageUrls(payload) {
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const urls = [];
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collectStringsByKey(payload, 'url', urls);
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collectStringsByKey(payload, 'image', urls);
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collectStringsByKey(payload, 'image_url', urls);
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return [...new Set(urls)].filter((url) => /^https?:\/\//u.test(url));
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}
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function extractBase64Images(payload) {
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const values = [];
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collectStringsByKey(payload, 'b64_json', values);
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return values;
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}
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function inferExtensionFromContentType(contentType) {
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const normalized = contentType.split(';')[0]?.trim().toLowerCase();
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if (normalized === 'image/png') {
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return 'png';
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}
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if (normalized === 'image/webp') {
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return 'webp';
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}
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if (normalized === 'image/gif') {
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return 'gif';
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}
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return 'jpg';
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}
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function inferExtensionFromBytes(bytes) {
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if (bytes.subarray(0, 8).equals(Buffer.from('\x89PNG\r\n\x1A\n', 'binary'))) {
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return 'png';
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}
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if (bytes.subarray(0, 3).equals(Buffer.from([0xff, 0xd8, 0xff]))) {
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return 'jpg';
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}
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if (
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bytes.subarray(0, 4).toString('ascii') === 'RIFF' &&
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bytes.subarray(8, 12).toString('ascii') === 'WEBP'
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) {
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return 'webp';
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}
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return 'png';
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}
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async function fetchJson(url, options, timeoutMs) {
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const abortController = new AbortController();
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const timer = setTimeout(() => abortController.abort(), timeoutMs);
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try {
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const response = await fetch(url, {
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...options,
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signal: abortController.signal,
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});
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const text = await response.text();
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if (!response.ok) {
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throw new Error(`VectorEngine ${response.status}: ${text.slice(0, 600)}`);
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}
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return JSON.parse(text);
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} catch (error) {
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if (error?.name === 'AbortError') {
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throw new Error(`VectorEngine request timed out after ${timeoutMs}ms`);
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}
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throw error;
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} finally {
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clearTimeout(timer);
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}
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}
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async function downloadUrl(url, timeoutMs) {
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const abortController = new AbortController();
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const timer = setTimeout(() => abortController.abort(), timeoutMs);
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try {
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const response = await fetch(url, { signal: abortController.signal });
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if (!response.ok) {
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throw new Error(`download ${response.status}`);
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}
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const bytes = Buffer.from(await response.arrayBuffer());
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return {
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bytes,
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extension: inferExtensionFromContentType(
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response.headers.get('content-type') || 'image/jpeg',
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),
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};
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} catch (error) {
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if (error?.name === 'AbortError') {
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throw new Error(`Generated image download timed out after ${timeoutMs}ms`);
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}
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throw error;
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} finally {
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clearTimeout(timer);
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}
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}
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async function generateOne(env, entry, outDir) {
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const requestBody = {
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model: 'gpt-image-2-all',
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prompt: buildPrompt(entry),
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n: 1,
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size: '1024x1024',
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};
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const payload = await fetchJson(
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buildVectorEngineImagesGenerationUrl(env.baseUrl),
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{
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method: 'POST',
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headers: {
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Authorization: `Bearer ${env.apiKey}`,
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Accept: 'application/json',
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'Content-Type': 'application/json',
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},
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body: JSON.stringify(requestBody),
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},
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env.timeoutMs,
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);
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const urls = extractImageUrls(payload);
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const b64Images = extractBase64Images(payload);
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let image;
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if (urls[0]) {
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image = await downloadUrl(urls[0], env.timeoutMs);
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} else if (b64Images[0]) {
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const bytes = Buffer.from(b64Images[0], 'base64');
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image = {
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bytes,
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extension: inferExtensionFromBytes(bytes),
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};
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} else {
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throw new Error(`VectorEngine returned no image for ${entry.id}`);
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}
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mkdirSync(outDir, { recursive: true });
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const outputPath = path.join(outDir, `${entry.id}.${image.extension}`);
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writeFileSync(outputPath, image.bytes);
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return outputPath;
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}
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const dryRun = args.has('--dry-run') || !args.has('--live');
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const outDir = path.resolve(String(args.get('--out-dir') || defaultOutDir));
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const limit = Number.parseInt(String(args.get('--limit') || '0'), 10);
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const selectedPrompts = limit > 0 ? prompts.slice(0, limit) : prompts;
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if (dryRun) {
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const env = resolveEnv();
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console.log(
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JSON.stringify(
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{
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mode: 'dry-run',
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outDir,
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count: selectedPrompts.length,
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hasBaseUrl: Boolean(env.baseUrl),
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hasApiKey: Boolean(env.apiKey),
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requests: selectedPrompts.map((entry) => ({
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id: entry.id,
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title: entry.title,
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body: {
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model: 'gpt-image-2-all',
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prompt: buildPrompt(entry),
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n: 1,
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size: '1024x1024',
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},
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})),
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},
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null,
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2,
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),
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);
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process.exit(0);
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}
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const env = resolveEnv();
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if (!env.baseUrl || !env.apiKey) {
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console.error(
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JSON.stringify({
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ok: false,
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error: 'Missing VECTOR_ENGINE_BASE_URL or VECTOR_ENGINE_API_KEY',
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hasBaseUrl: Boolean(env.baseUrl),
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hasApiKey: Boolean(env.apiKey),
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}),
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);
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process.exit(1);
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}
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const generated = [];
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for (const entry of selectedPrompts) {
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console.log(`Generating ${entry.id}...`);
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generated.push(await generateOne(env, entry, outDir));
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}
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console.log(
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JSON.stringify(
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{
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ok: true,
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count: generated.length,
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files: generated,
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},
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null,
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2,
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),
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);
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