SakurasanandClaude
548ebee47f
后端加载优化（盘中原本每次访问都重新聚合，耗时 10-30 秒）： - 图聚合结果与题材股票子层盘中加 60 秒缓存 - 缓存过期时返回旧数据并后台幂等重建（stale-while-revalidate），打开即秒开 - 缓存基础支持秒级 TTL（set_cache 新增 ttl_seconds） - 响应体瘦身：移除 edges（前端从 stocks[].themeCodes 重建）、 themes 精简字段、stocks 按 limit 裁剪，JSON 从数 MB 降至数百 KB 前端 Canvas 渲染重构： - d3-force 布局保留，SVG 渲染层替换为 Canvas 双缓冲（静止态离屏层 drawImage） - tick 由每帧 setState 改为 rAF 合帧，拖拽/缩放期间零 React 重渲染，800 节点流畅 交互优化： - 手机：新增 +/−/适应 缩放按钮、命中半径放大至 22px、tap/drag 6px 阈值区分、 双指捏合缩放、触屏禁用 hover 避免与选中冲突 - Mac 触控板：双指滚动=平移、捏合(ctrlKey)=缩放、滚轮缩放保留、点空白取消选中 Co-Authored-By: Claude <noreply@anthropic.com>
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
"""磁盘缓存：SQLite 持久化，重启不丢"""
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import json
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from datetime import datetime, timedelta
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from typing import Optional
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from database import get_connection
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def get_cache(key: str) -> Optional[str]:
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"""获取缓存，过期或不存在返回 None"""
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now = datetime.now().isoformat()
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conn = get_connection()
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try:
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row = conn.execute(
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"SELECT value FROM cache WHERE key = ? AND expires_at > ?",
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(key, now),
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).fetchone()
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if row:
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return row["value"]
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return None
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finally:
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conn.close()
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def set_cache(key: str, value: str, ttl_hours: int = 6, ttl_seconds: int = 0):
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"""写入缓存，过期时间 = now + ttl_hours + ttl_seconds（支持秒级短 TTL）"""
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expires_at = (datetime.now() + timedelta(hours=ttl_hours, seconds=ttl_seconds)).isoformat()
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conn = get_connection()
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try:
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conn.execute(
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"INSERT OR REPLACE INTO cache (key, value, expires_at) VALUES (?, ?, ?)",
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(key, value, expires_at),
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)
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conn.commit()
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finally:
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conn.close()
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def del_cache(key: str):
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"""删除指定缓存"""
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conn = get_connection()
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try:
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conn.execute("DELETE FROM cache WHERE key = ?", (key,))
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conn.commit()
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finally:
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conn.close()
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def clean_expired():
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"""清理已过期的缓存（可在启动时调用一次）"""
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now = datetime.now().isoformat()
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conn = get_connection()
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try:
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conn.execute("DELETE FROM cache WHERE expires_at <= ?", (now,))
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conn.commit()
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finally:
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conn.close()
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