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Genarrative/.codex/skills/gpt-image-2-apimart/scripts/generate-template-samples.mjs
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同步开发运维文档与 AGC skill pack 格式化忽略规则
2026-09-01 16:28:34 +08:00

433 lines
12 KiB
JavaScript

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 = 1000000;
const preferredImageModel = 'gpt-image-2';
const fallbackImageModel = 'gpt-image-2-c';
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:${template.prompt}`,
'要求:主体清晰集中,前中后景层次明确,边角有可辨识细节,适合切成 3x3 到 7x7 拼图。',
'避免:文字、水印、边框、按钮、UI 元素、教程标注、低清晰度、过度模糊、杂乱构图。',
].join('');
}
function collectStringsByKey(value, targetKey, output) {
if (Array.isArray(value)) {
value.forEach((entry) => collectStringsByKey(entry, targetKey, output));
return;
}
if (!value || typeof value !== 'object') {
return;
}
for (const [key, nested] of Object.entries(value)) {
if (key === targetKey) {
if (typeof nested === 'string' && nested.trim()) {
output.push(nested.trim());
}
if (Array.isArray(nested)) {
nested.forEach((entry) => {
if (typeof entry === 'string' && entry.trim()) {
output.push(entry.trim());
}
});
}
}
collectStringsByKey(nested, targetKey, output);
}
}
function extractImageUrls(payload) {
const urls = [];
collectStringsByKey(payload, 'url', urls);
collectStringsByKey(payload, 'image', urls);
collectStringsByKey(payload, 'image_url', urls);
return [...new Set(urls)].filter((url) => /^https?:\/\//u.test(url));
}
function extractBase64Images(payload) {
const values = [];
collectStringsByKey(payload, 'b64_json', values);
return values;
}
function decodeStrictBase64Image(raw) {
const normalized = String(raw || '').trim();
if (
!normalized ||
normalized.length % 4 !== 0 ||
!/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/u.test(
normalized,
)
) {
return null;
}
const bytes = Buffer.from(normalized, 'base64');
return bytes.length > 0 &&
bytes.toString('base64') === normalized &&
inferExtensionFromBytes(bytes)
? bytes
: null;
}
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';
}
if (
bytes.subarray(0, 6).toString('ascii') === 'GIF87a' ||
bytes.subarray(0, 6).toString('ascii') === 'GIF89a'
) {
return 'gif';
}
return null;
}
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) {
const error = new Error(
`VectorEngine ${response.status}: ${text.slice(0, 600)}`,
);
error.vectorEngineStatus = response.status;
error.vectorEngineBody = text;
throw error;
}
try {
return JSON.parse(text);
} catch (error) {
error.vectorEngineResponseParse = true;
error.vectorEngineBody = text;
throw error;
}
} catch (error) {
if (error?.name === 'AbortError') {
throw new Error(`VectorEngine request timed out after ${timeoutMs}ms`);
}
throw error;
} finally {
clearTimeout(timer);
}
}
function shouldFallbackImageModel(error) {
const raw =
`${error?.message || ''}\n${error?.vectorEngineBody || ''}`.toLowerCase();
if (error?.vectorEngineResponseParse) {
return !containsContentRejection(raw);
}
const status = Number(error?.vectorEngineStatus || 0);
if (status === 408 || status >= 500) {
return true;
}
if (status === 429) {
return !containsContentRejection(raw);
}
const mentionsImageModel =
raw.includes('model') ||
raw.includes('模型') ||
raw.includes(preferredImageModel) ||
raw.includes(fallbackImageModel);
return (
[400, 404, 422].includes(status) &&
mentionsImageModel &&
/(not found|not supported|unsupported|unavailable|does not exist|invalid model|unknown model|不存在|不支持|不可用|未开通)/u.test(
raw,
)
);
}
function containsContentRejection(raw) {
return /(invalid_prompt|safety|content[_ ]policy|moderation|prompt rejected|content rejected|prompt refusal|content refusal|rejected by safety|rejected by moderation|敏感|违规|安全策略|内容审核|提示词拒绝|内容拒绝)/u.test(
raw,
);
}
async function requestImagePayload(env, template) {
for (const model of [preferredImageModel, fallbackImageModel]) {
const requestBody = {
model,
prompt: buildPrompt(template),
n: 1,
size: '1024x1024',
};
try {
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 base64Image = decodeStrictBase64Image(
extractBase64Images(payload)[0],
);
if (extractImageUrls(payload)[0] || base64Image) {
return payload;
}
const error = new Error(
`VectorEngine returned no image for ${template.id}`,
);
error.vectorEngineResponseParse = true;
error.vectorEngineBody = JSON.stringify(payload).slice(0, 600);
throw error;
} catch (error) {
if (model !== preferredImageModel || !shouldFallbackImageModel(error)) {
throw error;
}
console.warn(
`VectorEngine ${preferredImageModel} failed, retrying with ${fallbackImageModel}: ${error.message}`,
);
}
}
throw new Error(`VectorEngine returned no image for ${template.id}`);
}
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 payload = await requestImagePayload(env, template);
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 = decodeStrictBase64Image(b64Images[0]);
if (!bytes) {
throw new Error(
`VectorEngine returned invalid base64 image for ${template.id}`,
);
}
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,
fallbackModel: fallbackImageModel,
body: {
model: preferredImageModel,
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,
),
);