feat: 完善敲木鱼玩法模板链路

This commit is contained in:
2026-05-24 02:49:13 +08:00
parent 2ba4691bc0
commit 8638397faa
402 changed files with 2329 additions and 1781 deletions

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import { Buffer } from 'node:buffer';
import { existsSync, mkdirSync, readFileSync, writeFileSync } from 'node:fs';
import path from 'node:path';
const repoRoot = process.cwd();
const outDir = path.join(
repoRoot,
'output',
'imagegen',
'edutainment-toca-world-map-concepts-20260523',
);
const styleReferencePath = path.join(
repoRoot,
'public',
'child-motion-demo',
'picture-book-grass-stage.png',
);
const defaultTimeoutMs = 1000000;
const commonPrompt = [
'横屏 16:9 寓教于乐板块玩法入口概念图。',
'参考 Toca Life World 的地图组织方式:一个横向展开的大世界,允许向左和向右以“一屏一屏”的单位继续延伸和探索。',
'画面必须像儿童绘本插画,明亮、干净、温暖、圆润、手绘感强,保留 Genarrative 寓教于乐现有的草地、水彩、纸张纹理和童趣气质。',
'地图里要有清晰的道路、步道、河流、桥、分区节点和地标,但不要复制 Toca 的 logo、角色、字体、UI、建筑外形或配色。',
'每个玩法入口都要像一个可单独进入的区域,区域之间既连贯又能独立辨认,适合后续做横向滑动或分屏探索。',
'左右两侧都要有明显的延展感,边缘不能封死,重要场景不要都挤在画面中心。',
'中心只保留一个轻量主枢纽,左右各留出半屏到一屏的可继续探索空间。',
'不要出现文字、数字、字母、按钮文案、UI 面板、logo、水印、真实照片感、暗黑科技风、过度复杂的人物表情、现成商业 IP 角色。',
].join('');
const concepts = [
{
id: 'edutainment-toca-world-01-river-town',
title: '河道城镇带',
prompt: [
commonPrompt,
'版式方向:一条横向城镇带沿着河道和主路展开,左边是果园与识物区,中间是创作和主枢纽区,右边是音乐广场、自然观察和运动区。',
'每个区域像独立小镇街区,房屋和设施分布在道路两侧,远处山坡和天空继续延伸,整体感觉像可以一直向左右滑动。',
'左侧入口更偏自然与认知,右侧入口更偏探索与表演,中间保留一个安静广场作为聚合点。',
].join(''),
},
{
id: 'edutainment-toca-world-02-mountain-arc',
title: '山脊长廊',
prompt: [
commonPrompt,
'版式方向:一条山脊和环山公路贯穿左右,地图像被拉长的山地长廊,城市、树林、草坡和小店沿山脊展开。',
'左屏是水果农场和画画工坊,中屏是社区广场和拼图桥,右屏是音乐小剧场、动物观察和冒险步道。',
'地形要有明显起伏,但道路必须连续、可走、可向两侧继续延伸,像同一世界的不同屏幕段落。',
].join(''),
},
{
id: 'edutainment-toca-world-03-island-chain',
title: '岛链世界',
prompt: [
commonPrompt,
'版式方向:多个小岛通过桥梁、栈道和缆车相连,像一条横向的岛链,每个岛都像一屏可探索区域。',
'左侧岛是识物果园岛,中间岛是绘本创作岛和主广场,右侧岛是运动草地岛、音乐舞台岛和自然探索岛。',
'每个岛的边缘都要暗示下一岛的延伸,水面和道路自然把画面向左向右打开,不要封闭成一个圆形世界。',
].join(''),
},
{
id: 'edutainment-toca-world-04-city-park-spine',
title: '城市公园脊',
prompt: [
commonPrompt,
'版式方向:一条城市公园主脊从左到右穿过整个画面,主脊两侧是不同功能街区,像儿童版的世界地图主干道。',
'左边是安静学习区和果园,中央是综合广场、画画棚和拼图桥,右边是音乐广场、运动场、动物观测点和森林边界。',
'整体更接近 Toca 式“世界菜单”感,但美术要更像绘本插画,不要扁平矢量 UI也不要把地图画成球体。',
].join(''),
},
];
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 generationUrl(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 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';
}
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/jpeg') {
return 'jpg';
}
return 'png';
}
function toDataUrl(filePath) {
if (!existsSync(filePath)) {
return null;
}
const bytes = readFileSync(filePath);
const extension = inferExtensionFromBytes(bytes);
const mime = extension === 'jpg' ? 'image/jpeg' : `image/${extension}`;
return `data:${mime};base64,${bytes.toString('base64')}`;
}
function buildRequestBody(concept, size, hasStyleReference) {
const body = {
model: 'gpt-image-2-all',
prompt: concept.prompt,
n: 1,
size,
};
if (hasStyleReference) {
const ref = toDataUrl(styleReferencePath);
if (ref) {
body.image = [ref];
}
}
return body;
}
function buildDryRunRequestBody(concept, size, hasStyleReference) {
return {
model: 'gpt-image-2-all',
prompt: concept.prompt,
n: 1,
size,
imageReferenceCount: hasStyleReference ? 1 : 0,
};
}
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 {
bytes: Buffer.from(await response.arrayBuffer()),
extension: inferExtensionFromContentType(
response.headers.get('content-type') || '',
),
};
} catch (error) {
if (error?.name === 'AbortError') {
throw new Error(`Generated image download timed out after ${timeoutMs}ms`);
}
throw error;
} finally {
clearTimeout(timer);
}
}
function outputPathFor(concept, extension = 'png') {
return path.join(outDir, `${concept.id}.${extension}`);
}
function findExistingOutputPath(concept) {
for (const extension of ['png', 'jpg', 'jpeg', 'webp']) {
const candidate = outputPathFor(concept, extension);
if (existsSync(candidate)) {
return candidate;
}
}
return null;
}
async function generateOne(env, concept, size) {
const payload = await fetchJson(
generationUrl(env.baseUrl),
{
method: 'POST',
headers: {
Authorization: `Bearer ${env.apiKey}`,
Accept: 'application/json',
'Content-Type': 'application/json',
},
body: JSON.stringify(buildRequestBody(concept, size, existsSync(styleReferencePath))),
},
env.timeoutMs,
);
const urls = [];
const b64Images = [];
collectStringsByKey(payload, 'url', urls);
collectStringsByKey(payload, 'image', urls);
collectStringsByKey(payload, 'image_url', urls);
collectStringsByKey(payload, 'b64_json', b64Images);
let image;
const imageUrl = [...new Set(urls)].find((url) => /^https?:\/\//u.test(url));
if (imageUrl) {
image = await downloadUrl(imageUrl, 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 ${concept.id}`);
}
mkdirSync(outDir, { recursive: true });
const outputPath = outputPathFor(concept, image.extension);
writeFileSync(outputPath, image.bytes);
return outputPath;
}
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);
}
}
}
const size = String(args.get('--size') || '2048x1152');
const dryRun = args.has('--dry-run') || !args.has('--live');
const selectedIds = String(args.get('--only') || '')
.split(',')
.map((value) => value.trim())
.filter(Boolean);
const selectedConcepts = concepts.filter(
(concept) => selectedIds.length === 0 || selectedIds.includes(concept.id),
);
const hasStyleReference = existsSync(styleReferencePath);
if (dryRun) {
console.log(
JSON.stringify(
{
mode: 'dry-run',
outDir,
size,
hasStyleReference,
count: selectedConcepts.length,
requests: selectedConcepts.map((concept) => ({
id: concept.id,
title: concept.title,
body: buildDryRunRequestBody(concept, size, hasStyleReference),
})),
},
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 files = [];
const generatedFileById = new Map();
for (const concept of selectedConcepts) {
console.log(`Generating ${concept.id}...`);
const file = await generateOne(env, concept, size);
files.push(file);
generatedFileById.set(concept.id, file);
}
const metadataFiles = concepts
.map((concept) => {
const file = generatedFileById.get(concept.id) ?? findExistingOutputPath(concept);
if (!file) {
return null;
}
return {
id: concept.id,
title: concept.title,
file,
prompt: concept.prompt,
};
})
.filter(Boolean);
writeFileSync(
path.join(outDir, 'generation-metadata.json'),
JSON.stringify(
{
model: 'gpt-image-2-all',
size,
generatedAt: new Date().toISOString(),
styleReference: hasStyleReference ? styleReferencePath : null,
generatedIds: selectedConcepts.map((concept) => concept.id),
files: metadataFiles,
},
null,
2,
),
);
console.log(JSON.stringify({ ok: true, count: files.length, files }, null, 2));