125 lines
3.6 KiB
Python
125 lines
3.6 KiB
Python
"""
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Recent Activity Stats Cache
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记忆提取活动统计缓存模块
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用于缓存每次记忆提取流程的统计数据，按 workspace_id 存储，24小时后释放
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查询命令：cache:memory:activity_stats:by_workspace:7de31a97-40a6-4fc0-b8d3-15c89f523843
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"""
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import json
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import logging
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from typing import Optional, Dict, Any
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from datetime import datetime
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from app.aioRedis import aio_redis
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logger = logging.getLogger(__name__)
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# 缓存过期时间：24小时
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ACTIVITY_STATS_CACHE_EXPIRE = 86400
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class ActivityStatsCache:
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"""记忆提取活动统计缓存类"""
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PREFIX = "cache:memory:activity_stats"
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@classmethod
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def _get_key(cls, workspace_id: str) -> str:
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"""生成 Redis key
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Args:
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workspace_id: 工作空间ID
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Returns:
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完整的 Redis key
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"""
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return f"{cls.PREFIX}:by_workspace:{workspace_id}"
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@classmethod
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async def set_activity_stats(
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cls,
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workspace_id: str,
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stats: Dict[str, Any],
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expire: int = ACTIVITY_STATS_CACHE_EXPIRE,
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) -> bool:
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"""设置记忆提取活动统计缓存
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Args:
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workspace_id: 工作空间ID
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stats: 统计数据，格式：
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{
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"chunk_count": int,
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"statements_count": int,
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"triplet_entities_count": int,
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"triplet_relations_count": int,
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"temporal_count": int,
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}
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expire: 过期时间（秒），默认24小时
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Returns:
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是否设置成功
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"""
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try:
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key = cls._get_key(workspace_id)
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payload = {
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"stats": stats,
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"generated_at": datetime.now().isoformat(),
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"workspace_id": workspace_id,
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"cached": True,
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}
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value = json.dumps(payload, ensure_ascii=False)
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await aio_redis.set(key, value, ex=expire)
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logger.info(f"设置活动统计缓存成功: {key}, 过期时间: {expire}秒")
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return True
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except Exception as e:
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logger.error(f"设置活动统计缓存失败: {e}", exc_info=True)
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return False
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@classmethod
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async def get_activity_stats(
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cls,
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workspace_id: str,
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) -> Optional[Dict[str, Any]]:
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"""获取记忆提取活动统计缓存
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Args:
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workspace_id: 工作空间ID
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Returns:
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统计数据字典，缓存不存在或已过期返回 None
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"""
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try:
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key = cls._get_key(workspace_id)
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value = await aio_redis.get(key)
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if value:
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payload = json.loads(value)
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logger.info(f"命中活动统计缓存: {key}")
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return payload
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logger.info(f"活动统计缓存不存在或已过期: {key}")
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return None
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except Exception as e:
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logger.error(f"获取活动统计缓存失败: {e}", exc_info=True)
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return None
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@classmethod
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async def delete_activity_stats(
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cls,
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workspace_id: str,
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) -> bool:
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"""删除记忆提取活动统计缓存
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Args:
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workspace_id: 工作空间ID
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Returns:
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是否删除成功
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"""
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try:
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key = cls._get_key(workspace_id)
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result = await aio_redis.delete(key)
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logger.info(f"删除活动统计缓存: {key}, 结果: {result}")
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return result > 0
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except Exception as e:
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logger.error(f"删除活动统计缓存失败: {e}", exc_info=True)
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return False
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