-
在 Space 的 Files 页面，依次创建以下文件：
-
-
-
fastapi
-uvicorn
-sentence-transformers
-torch
-
-
-
-
import os
-os.environ["OMP_NUM_THREADS"] = "1"
-os.environ["MKL_NUM_THREADS"] = "1"
-os.environ["TOKENIZERS_PARALLELISM"] = "false"
-
-import torch
-torch.set_num_threads(1)
-
-import threading
-from functools import lru_cache
-from typing import List, Optional
-from fastapi import FastAPI, HTTPException, Header
-from fastapi.middleware.cors import CORSMiddleware
-from pydantic import BaseModel
-from sentence_transformers import SentenceTransformer
-
-ACCESS_KEY = os.environ.get("ACCESS_KEY", "")
-MODEL_ID = "BAAI/bge-m3"
-
-app = FastAPI()
-app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"])
-
-@lru_cache(maxsize=1)
-def get_model():
- return SentenceTransformer(MODEL_ID, trust_remote_code=True)
-
-class EmbedRequest(BaseModel):
- input: List[str]
- model: Optional[str] = "bge-m3"
-
-@app.post("/v1/embeddings")
-async def embed(req: EmbedRequest, authorization: Optional[str] = Header(None)):
- if ACCESS_KEY and (authorization or "").replace("Bearer ", "").strip() != ACCESS_KEY:
- raise HTTPException(401, "Unauthorized")
- embeddings = get_model().encode(req.input, normalize_embeddings=True)
- return {"data": [{"embedding": e.tolist(), "index": i} for i, e in enumerate(embeddings)]}
-
-@app.get("/v1/models")
-async def models():
- return {"data": [{"id": "bge-m3"}]}
-
-@app.get("/health")
-async def health():
- return {"status": "ok"}
-
-@app.on_event("startup")
-async def startup():
- threading.Thread(target=get_model, daemon=True).start()
-
-
-
-
FROM python:3.10-slim
-WORKDIR /app
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-COPY app.py ./
-RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('BAAI/bge-m3', trust_remote_code=True)"
-EXPOSE 7860
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "2"]
+ setHtml(es, `
+
+ ${list.map((a, i) => `
+
+
+
+
+
+
+
角色弧光 ${i + 1}
-
-
-
-
-
上传完成后自动开始构建，约需 10 分钟（下载模型）。
-
成功后状态变为 Running
-
-
-
-
-
-
-
服务渠道OpenAI 兼容
-
API URLhttps://用户名-空间名.hf.space
-
API Key随便填
-
模型点"拉取" → 选 bge-m3
-
-
-
-
-
💡 小提示
-
- - URL 格式：
https://用户名-空间名.hf.space（减号连接，非斜杠）
- - 免费 Space 一段时间无请求会休眠，首次唤醒需等 20-30 秒
- - 如需保持常驻，可用 cron-job.org 每 5 分钟 ping
/health
- - 如需密码，在 Space Settings 设置
ACCESS_KEY 环境变量
-
-
+ `).join('')}
+
`);
- // Add copy button handlers
- body.querySelectorAll('.copy-btn').forEach(btn => {
- btn.onclick = async () => {
- const code = btn.previousElementSibling?.textContent || '';
- try {
- await navigator.clipboard.writeText(code);
- btn.textContent = '已复制';
- setTimeout(() => btn.textContent = '复制', 1200);
- } catch {
- const ta = document.createElement('textarea');
- ta.value = code;
- document.body.appendChild(ta);
- ta.select();
- document.execCommand('copy');
- ta.remove();
- btn.textContent = '已复制';
- setTimeout(() => btn.textContent = '复制', 1200);
- }
- };
- });
- }
+ es.querySelectorAll('.arc-item').forEach(addDeleteHandler);
- // ═══════════════════════════════════════════════════════════════════════════
- // Recall Log
- // ═══════════════════════════════════════════════════════════════════════════
+ $('arc-add').onclick = () => {
+ const listEl = $('arc-list');
+ const idx = listEl.querySelectorAll('.arc-item').length;
+ const div = document.createElement('div');
+ div.className = 'struct-item arc-item';
+ div.dataset.index = idx;
+ setHtml(div, `
+
+
+
+
+
+
+
角色弧光 ${idx + 1}
+ `);
+ addDeleteHandler(div);
+ listEl.appendChild(div);
+ };
+ }
function setRecallLog(text) {
lastRecallLogText = text || '';
@@ -1357,50 +1117,7 @@ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "
};
}
- function renderArcsEditor(arcs) {
- const list = arcs?.length ? arcs : [{ name: '', trajectory: '', progress: 0, moments: [] }];
- const es = $('editor-struct');
-
- setHtml(es, `
-
- ${list.map((a, i) => `
-
-
-
-
-
-
-
-
角色弧光 ${i + 1}
-
- `).join('')}
-
-
- `);
-
- es.querySelectorAll('.arc-item').forEach(addDeleteHandler);
-
- $('arc-add').onclick = () => {
- const listEl = $('arc-list');
- const idx = listEl.querySelectorAll('.arc-item').length;
- const div = document.createElement('div');
- div.className = 'struct-item arc-item';
- div.dataset.index = idx;
- setHtml(div, `
-
-
-
-
-
-
-
角色弧光 ${idx + 1}
- `);
- addDeleteHandler(div);
- listEl.appendChild(div);
- };
- }
-
- function openEditor(section) {
+ function openEditor(section) {
currentEditSection = section;
const meta = SECTION_META[section];
const es = $('editor-struct');
@@ -1615,31 +1332,50 @@ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "
if (d.config) loadVectorConfig(d.config);
break;
- case 'VECTOR_LOCAL_MODEL_STATUS':
- updateLocalModelStatus(d.status, d.message);
- break;
-
- case 'VECTOR_LOCAL_MODEL_PROGRESS':
- updateLocalModelProgress(d.percent);
- break;
-
case 'VECTOR_ONLINE_STATUS':
updateOnlineStatus(d.status, d.message);
break;
- case 'VECTOR_ONLINE_MODELS':
- updateOnlineModels(d.models || []);
- break;
-
case 'VECTOR_STATS':
updateVectorStats(d.stats);
if (d.mismatch !== undefined) showVectorMismatchWarning(d.mismatch);
break;
- case 'VECTOR_GEN_PROGRESS':
- updateVectorGenProgress(d.phase, d.current, d.total);
+ case 'ANCHOR_STATS':
+ updateAnchorStats(d.stats || {});
break;
+ case 'ANCHOR_GEN_PROGRESS':
+ updateAnchorProgress(d.current, d.total, d.message);
+ break;
+
+ case 'VECTOR_GEN_PROGRESS': {
+ const progress = $('vector-gen-progress');
+ const btnGen = $('btn-gen-vectors');
+ const btnCancel = $('btn-cancel-vectors');
+ const btnClear = $('btn-clear-vectors');
+
+ if (d.current < 0) {
+ progress.classList.add('hidden');
+ btnGen.classList.remove('hidden');
+ btnCancel.classList.add('hidden');
+ btnClear.classList.remove('hidden');
+ vectorGenerating = false;
+ } else {
+ vectorGenerating = true;
+ progress.classList.remove('hidden');
+ btnGen.classList.add('hidden');
+ btnCancel.classList.remove('hidden');
+ btnClear.classList.add('hidden');
+
+ const percent = d.total > 0 ? Math.round(d.current / d.total * 100) : 0;
+ progress.querySelector('.progress-inner').style.width = percent + '%';
+ const displayText = d.message || `${d.phase || ''}: ${d.current}/${d.total}`;
+ progress.querySelector('.progress-text').textContent = displayText;
+ }
+ break;
+ }
+
case 'VECTOR_EXPORT_RESULT':
$('btn-export-vectors').disabled = false;
if (d.success) {
@@ -1772,8 +1508,6 @@ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "
$('rel-fs-close').onclick = closeRelationsFullscreen;
// HF guide
- $('hf-guide-backdrop').onclick = closeHfGuide;
- $('hf-guide-close').onclick = closeHfGuide;
// Character selector
$('char-sel-trigger').onclick = e => {
diff --git a/modules/story-summary/story-summary.css b/modules/story-summary/story-summary.css
index 6fe71c0..a2f5c07 100644
--- a/modules/story-summary/story-summary.css
+++ b/modules/story-summary/story-summary.css
@@ -2750,3 +2750,126 @@ h1 span {
font-size: .8125rem;
line-height: 1.8;
}
+
+/* ═══════════════════════════════════════════════════════════════════════════
+ 记忆锚点区域（L0）
+ ═══════════════════════════════════════════════════════════════════════════ */
+
+.anchor-section {
+ margin-top: 20px;
+ padding: 16px;
+ background: linear-gradient(135deg, rgba(255, 193, 7, 0.05), rgba(255, 152, 0, 0.05));
+ border: 1px solid rgba(255, 193, 7, 0.3);
+ border-radius: 8px;
+}
+
+.anchor-header {
+ margin-bottom: 12px;
+}
+
+.anchor-title {
+ display: flex;
+ align-items: center;
+ gap: 6px;
+ font-size: 0.875rem;
+ font-weight: 600;
+ color: var(--txt);
+ margin-bottom: 4px;
+}
+
+.anchor-icon {
+ font-size: 1rem;
+}
+
+.anchor-hint {
+ font-size: 0.75rem;
+ color: var(--txt3);
+}
+
+.anchor-stats {
+ display: flex;
+ flex-wrap: wrap;
+ align-items: center;
+ gap: 8px;
+ font-size: 0.8125rem;
+ color: var(--txt2);
+ margin-bottom: 12px;
+ padding: 8px 12px;
+ background: var(--bg2);
+ border-radius: 6px;
+}
+
+.anchor-stat-item {
+ display: flex;
+ align-items: center;
+ gap: 4px;
+}
+
+.anchor-stat-label {
+ color: var(--txt3);
+}
+
+.anchor-stat-value strong {
+ color: var(--hl);
+ font-weight: 600;
+}
+
+.anchor-stat-sep {
+ color: var(--txt3);
+}
+
+.anchor-stat-pending {
+ color: #f59e0b;
+ font-size: 0.75rem;
+}
+
+.anchor-stat-pending strong {
+ font-weight: 600;
+}
+
+.anchor-progress {
+ margin-bottom: 12px;
+}
+
+.anchor-actions {
+ display: flex;
+ gap: 8px;
+}
+
+.anchor-actions .btn {
+ flex: 1;
+ min-width: 0;
+}
+
+.vector-empty-warning {
+ font-size: 0.75rem;
+ color: #f59e0b;
+ margin-top: 6px;
+}
+
+@media (max-width: 768px) {
+ .anchor-section {
+ padding: 12px;
+ }
+
+ .anchor-stats {
+ flex-direction: column;
+ align-items: flex-start;
+ gap: 4px;
+ }
+
+ .anchor-stat-sep {
+ display: none;
+ }
+}
+
+@media (max-width: 480px) {
+ .anchor-title {
+ font-size: 0.8125rem;
+ }
+
+ .anchor-stats {
+ font-size: 0.75rem;
+ padding: 6px 10px;
+ }
+}
diff --git a/modules/story-summary/story-summary.html b/modules/story-summary/story-summary.html
index e0f7e2b..4de2c26 100644
--- a/modules/story-summary/story-summary.html
+++ b/modules/story-summary/story-summary.html
@@ -83,7 +83,7 @@
@@ -116,6 +116,7 @@
选择角色
+
@@ -346,6 +347,8 @@
智能记忆（向量检索）
+
+
+
+
-
-
-
-
-
-
手机/低配适用
-
-
-
- 检查中...
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
-
-
- 💡
硅基流动 免费、速度快、质量好，推荐
- BAAI/bge-m3
-
-
+
-
过滤干扰内容（如思考标签）：遇到「起始」跳过直到「结束」
+
过滤干扰内容（如思考标签）
-
+
+
+
+
+
+
+
+
+ 已提取楼层:
+
+
+
/
+
+ 总 AI 楼层:
+ 0
+
+
+ (待提取 0 楼)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
- 事件向量:
+ L0 Atoms:
0/0
+ id="vector-atom-count">0
·
- Chunks:
+ L1 Chunks:
0
- 个（0/0 层）
+ id="vector-chunk-count">0
·
- 消息:
+ L2 Events:
0
+ id="vector-event-count">0
- ⚠ 引擎/模型已变更，需重新生成向量
+ ⚠ 需重新生成向量
+
+
+ ⚠ 记忆锚点为空，建议先生成
-
-
L1 片段
+
+
+
-
-
-
-
-
-
-
-
-
首次生成向量可能耗时较久，页面短暂卡顿属正常。若本地模型重进酒馆后需重下。
+ 0%
-
+
+
+
+
+
+
+
+
+ 向量化现有 L0/L1/L2 数据（首次可能需要 1-2 分钟）
+
+
+
-
-
导出/导入均为 zip 格式，勿解压
-
-
-
-
+
+
+
+
@@ -595,8 +567,6 @@
-
-