import { Buffer } from 'node:buffer'; import { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs'; import path from 'node:path'; import { fileURLToPath } from 'node:url'; const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); const skillRoot = path.resolve(__dirname, '..'); const repoRoot = path.resolve(skillRoot, '..', '..', '..'); const promptsPath = path.join( skillRoot, 'assets', 'puzzle-template-prompts.json', ); const defaultOutDir = path.join(repoRoot, 'public', 'puzzle-creation-templates'); const defaultTimeoutMs = 180000; const args = new Map(); for (let index = 2; index < process.argv.length; index += 1) { const raw = process.argv[index]; if (raw.startsWith('--')) { 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 buildVectorEngineImagesGenerationUrl(baseUrl) { return baseUrl.endsWith('/v1') ? `${baseUrl}/images/generations` : `${baseUrl}/v1/images/generations`; } function buildPrompt(template) { return [ '请生成一张高清 1:1 方形插画,用作拼图创作模板样例图。', `画面主体:${template.prompt}`, '要求:主体清晰集中,前中后景层次明确,边角有可辨识细节,适合切成 3x3 到 7x7 拼图。', '避免:文字、水印、边框、按钮、UI 元素、教程标注、低清晰度、过度模糊、杂乱构图。', ].join(''); } 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 inferExtensionFromContentType(contentType) { const normalized = contentType.split(';')[0]?.trim().toLowerCase(); if (normalized === 'image/png') { return 'png'; } if (normalized === 'image/webp') { return 'webp'; } if (normalized === 'image/gif') { return 'gif'; } return 'jpg'; } 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}`); } const bytes = Buffer.from(await response.arrayBuffer()); return { bytes, extension: inferExtensionFromContentType( response.headers.get('content-type') || 'image/jpeg', ), }; } catch (error) { if (error?.name === 'AbortError') { throw new Error(`Generated image download timed out after ${timeoutMs}ms`); } throw error; } finally { clearTimeout(timer); } } async function generateOne(env, template, outDir) { const requestBody = { model: 'gpt-image-2-all', prompt: buildPrompt(template), n: 1, size: '1024x1024', }; const payload = await fetchJson( buildVectorEngineImagesGenerationUrl(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 image; if (urls[0]) { image = await downloadUrl(urls[0], env.timeoutMs); } else if (b64Images[0]) { const bytes = Buffer.from(b64Images[0], 'base64'); image = { bytes, extension: inferExtensionFromBytes(bytes), }; } else { throw new Error(`VectorEngine returned no image for ${template.id}`); } mkdirSync(outDir, { recursive: true }); const outputPath = path.join(outDir, `${template.id}.${image.extension}`); writeFileSync(outputPath, image.bytes); return outputPath; } const dryRun = args.has('--dry-run') || !args.has('--live'); const outDir = path.resolve(String(args.get('--out-dir') || defaultOutDir)); const limit = Number.parseInt(String(args.get('--limit') || '0'), 10); const onlyIds = String(args.get('--only') || '') .split(',') .map((value) => value.trim()) .filter(Boolean); const templates = JSON.parse(readFileSync(promptsPath, 'utf8')).filter( (template) => !onlyIds.length || onlyIds.includes(template.id), ); const selectedTemplates = limit > 0 ? templates.slice(0, limit) : templates; if (dryRun) { console.log( JSON.stringify( { mode: 'dry-run', outDir, count: selectedTemplates.length, requests: selectedTemplates.map((template) => ({ id: template.id, title: template.title, body: { model: 'gpt-image-2-all', prompt: buildPrompt(template), 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 template of selectedTemplates) { console.log(`Generating ${template.id}...`); generated.push(await generateOne(env, template, outDir)); } console.log( JSON.stringify( { ok: true, count: generated.length, files: generated, }, null, 2, ), );