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LittleWhiteBox/modules/fourth-wall/fw-image.js

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2026-01-01 00:23:27 +08:00
// ════════════════════════════════════════════════════════════════════════════
// 图片模块 - 缓存与生成
// ════════════════════════════════════════════════════════════════════════════
const DB_NAME = 'xb_fourth_wall_images';
const DB_STORE = 'images';
const CACHE_TTL = 7 * 24 * 60 * 60 * 1000;
let db = null;
/**
* 图片提示词指南 - 注入给 LLM
*/
export const IMG_GUIDELINE = `## 模拟图片
如果需要发图照片给对方时可以在聊天文本中穿插以下格式行进行图片模拟
[image: Subject, Appearance, Background, Atmosphere, Extra descriptors]
- tag必须为英文用逗号分隔使用Danbooru风格的tag5-15个tag
- 第一个tag须固定为人物数量标签: 1girl, 1boy, 2girls, solo, etc.
- 可以多张照片: 每行一张 [image: ...]
- 当需要发送的内容尺度较大时加上nsfw相关tag
- image部分也需要在<msg>`;
// ════════════════════════════════════════════════════════════════════════════
// IndexedDB 操作
// ════════════════════════════════════════════════════════════════════════════
async function openDB() {
if (db) return db;
return new Promise((resolve, reject) => {
const request = indexedDB.open(DB_NAME, 1);
request.onerror = () => reject(request.error);
request.onsuccess = () => { db = request.result; resolve(db); };
request.onupgradeneeded = (e) => {
const database = e.target.result;
if (!database.objectStoreNames.contains(DB_STORE)) {
database.createObjectStore(DB_STORE, { keyPath: 'hash' });
}
};
});
}
function hashTags(tags) {
let hash = 0;
const str = String(tags || '').toLowerCase().replace(/\s+/g, ' ').trim();
for (let i = 0; i < str.length; i++) {
hash = ((hash << 5) - hash) + str.charCodeAt(i);
hash |= 0;
}
return 'fw_' + Math.abs(hash).toString(36);
}
async function getFromCache(tags) {
try {
const database = await openDB();
const hash = hashTags(tags);
return new Promise((resolve) => {
const tx = database.transaction(DB_STORE, 'readonly');
const req = tx.objectStore(DB_STORE).get(hash);
req.onsuccess = () => {
const result = req.result;
resolve(result && Date.now() - result.timestamp < CACHE_TTL ? result.base64 : null);
};
req.onerror = () => resolve(null);
});
} catch { return null; }
}
async function saveToCache(tags, base64) {
try {
const database = await openDB();
const tx = database.transaction(DB_STORE, 'readwrite');
tx.objectStore(DB_STORE).put({
hash: hashTags(tags),
tags,
base64,
timestamp: Date.now()
});
} catch {}
}
/**
* 清理过期缓存
*/
export async function clearExpiredCache() {
try {
const database = await openDB();
const cutoff = Date.now() - CACHE_TTL;
const tx = database.transaction(DB_STORE, 'readwrite');
const store = tx.objectStore(DB_STORE);
store.openCursor().onsuccess = (e) => {
const cursor = e.target.result;
if (cursor) {
if (cursor.value.timestamp < cutoff) cursor.delete();
cursor.continue();
}
};
} catch {}
}
// ════════════════════════════════════════════════════════════════════════════
// 图片请求处理
// ════════════════════════════════════════════════════════════════════════════
/**
* 处理缓存检查请求
* @param {Object} data - { requestId, tags }
* @param {Function} postToFrame - 发送消息到 iframe 的函数
*/
export async function handleCheckCache(data, postToFrame) {
const { requestId, tags } = data;
if (!tags?.trim()) {
postToFrame({ type: 'CACHE_MISS', requestId, tags: '' });
return;
}
const cached = await getFromCache(tags);
if (cached) {
postToFrame({ type: 'IMAGE_RESULT', requestId, base64: cached, fromCache: true });
} else {
postToFrame({ type: 'CACHE_MISS', requestId, tags });
}
}
/**
* 处理图片生成请求
* @param {Object} data - { requestId, tags }
* @param {Function} postToFrame - 发送消息到 iframe 的函数
*/
export async function handleGenerate(data, postToFrame) {
const { requestId, tags } = data;
if (!tags?.trim()) {
postToFrame({ type: 'IMAGE_RESULT', requestId, error: '无效的图片标签' });
return;
}
const novelDraw = window.xiaobaixNovelDraw;
if (!novelDraw) {
postToFrame({ type: 'IMAGE_RESULT', requestId, error: 'NovelDraw 模块未启用' });
return;
}
try {
const settings = novelDraw.getSettings();
const paramsPreset = settings.paramsPresets?.find(p => p.id === settings.selectedParamsPresetId)
|| settings.paramsPresets?.[0];
if (!paramsPreset) {
postToFrame({ type: 'IMAGE_RESULT', requestId, error: '无可用的参数预设' });
return;
}
const scene = [paramsPreset.positivePrefix, tags].filter(Boolean).join(', ');
const base64 = await novelDraw.generateNovelImage({
scene,
characterPrompts: [],
negativePrompt: paramsPreset.negativePrefix || '',
params: paramsPreset.params || {}
});
await saveToCache(tags, base64);
postToFrame({ type: 'IMAGE_RESULT', requestId, base64 });
} catch (e) {
postToFrame({ type: 'IMAGE_RESULT', requestId, error: e?.message || '生成失败' });
}
}