intelligent-cache（智能缓存）

Intelligent Caching

Multi-layer caching with type-specific TTLs and get-or-generate pattern.

When to Use This Skill

• Different content types need different freshness
• Expensive generation (AI, aggregations)
• Need persistence across restarts
• Want to track generation time for optimization

Core Concepts

Production caching needs:

1. Type-specific TTLs - Different content, different freshness
2. Two-layer cache - Memory for speed, DB for persistence
3. Get-or-generate - Single function handles everything
4. Generation timing - Track for optimization

Implementation

TypeScript

// Cache durations by content type
const CACHE_DURATIONS: Record<string, number> = {
  daily_briefing: 4 * 60 * 60 * 1000,    // 4 hours
  weekly_summary: 24 * 60 * 60 * 1000,   // 24 hours
  country_analysis: 2 * 60 * 60 * 1000,  // 2 hours
  alert_digest: 30 * 60 * 1000,          // 30 minutes
  pattern_report: 6 * 60 * 60 * 1000,    // 6 hours
};

type CacheType = keyof typeof CACHE_DURATIONS;

interface CachedItem<T = unknown> {
  id: string;
  cacheType: CacheType;
  cacheKey: string;
  contentMarkdown: string;
  contentStructured: T;
  generatedAt: string;
  expiresAt: string;
  generationTimeMs?: number;
}

// In-memory cache layer
const memoryCache = new Map<string, CachedItem>();

function getCacheKey(type: CacheType, key: string): string {
  return `${type}:${key}`;
}

/**
 * Cache content with type-specific TTL
 */
async function cacheContent<T>(
  type: CacheType,
  key: string,
  markdown: string,
  structured: T,
  generationTimeMs?: number
): Promise<void> {
  const cacheKey = getCacheKey(type, key);
  const now = new Date();
  const expiresAt = new Date(now.getTime() + CACHE_DURATIONS[type]);

  const cache: CachedItem<T> = {
    id: crypto.randomUUID(),
    cacheType: type,
    cacheKey: key,
    contentMarkdown: markdown,
    contentStructured: structured,
    generatedAt: now.toISOString(),
    expiresAt: expiresAt.toISOString(),
    generationTimeMs,
  };

  // Layer 1: Memory cache
  memoryCache.set(cacheKey, cache as CachedItem);

  // Layer 2: Database cache (if enabled)
  if (isPersistenceEnabled()) {
    await db.cache.upsert({
      where: { cacheType_cacheKey: { cacheType: type, cacheKey: key } },
      create: cache,
      update: cache,
    });
  }
}

/**
 * Get cached content with memory -> DB fallback
 */
async function getCached<T>(type: CacheType, key: string): Promise<CachedItem<T> | null> {
  const cacheKey = getCacheKey(type, key);
  const now = new Date();

  // Layer 1: Check memory cache
  const memoryCached = memoryCache.get(cacheKey);
  if (memoryCached) {
    if (new Date(memoryCached.expiresAt) > now) {
      return memoryCached as CachedItem<T>;
    }
    memoryCache.delete(cacheKey);
  }

  // Layer 2: Check database
  if (!isPersistenceEnabled()) return null;

  const dbCached = await db.cache.findFirst({
    where: {
      cacheType: type,
      cacheKey: key,
      expiresAt: { gt: now },
    },
  });

  if (dbCached) {
    // Promote to memory cache
    memoryCache.set(cacheKey, dbCached as CachedItem);
    return dbCached as CachedItem<T>;
  }

  return null;
}

/**
 * Get from cache or generate and cache
 */
async function getOrGenerate<T extends Record<string, unknown>>(
  type: CacheType,
  key: string,
  generator: () => Promise<{ markdown: string; structured: T }>
): Promise<{
  markdown: string;
  structured: T;
  fromCache: boolean;
  generationTimeMs?: number;
}> {
  // Try cache first
  const cached = await getCached<T>(type, key);
  if (cached) {
    return {
      markdown: cached.contentMarkdown,
      structured: cached.contentStructured,
      fromCache: true,
      generationTimeMs: cached.generationTimeMs,
    };
  }

  // Generate with timing
  const startTime = Date.now();
  const { markdown, structured } = await generator();
  const generationTimeMs = Date.now() - startTime;

  // Cache the result
  await cacheContent(type, key, markdown, structured, generationTimeMs);

  return {
    markdown,
    structured,
    fromCache: false,
    generationTimeMs,
  };
}

/**
 * Invalidate specific cache entry
 */
async function invalidateCache(type: CacheType, key: string): Promise<void> {
  const cacheKey = getCacheKey(type, key);
  memoryCache.delete(cacheKey);

  if (isPersistenceEnabled()) {
    await db.cache.deleteMany({
      where: { cacheType: type, cacheKey: key },
    });
  }
}

/**
 * Invalidate all entries of a type
 */
async function invalidateCacheType(type: CacheType): Promise<void> {
  for (const key of memoryCache.keys()) {
    if (key.startsWith(`${type}:`)) {
      memoryCache.delete(key);
    }
  }

  if (isPersistenceEnabled()) {
    await db.cache.deleteMany({ where: { cacheType: type } });
  }
}

/**
 * Clear expired entries
 */
async function clearExpiredCache(): Promise<number> {
  const now = new Date();
  let cleared = 0;

  for (const [key, cache] of memoryCache) {
    if (new Date(cache.expiresAt) <= now) {
      memoryCache.delete(key);
      cleared++;
    }
  }

  if (isPersistenceEnabled()) {
    const result = await db.cache.deleteMany({
      where: { expiresAt: { lte: now } },
    });
    cleared = Math.max(cleared, result.count);
  }

  return cleared;
}

Python

from dataclasses import dataclass
from datetime import datetime, timezone, timedelta
from typing import Dict, Optional, TypeVar, Generic, Callable, Awaitable
import uuid

T = TypeVar('T')

CACHE_DURATIONS: Dict[str, timedelta] = {
    "daily_briefing": timedelta(hours=4),
    "weekly_summary": timedelta(hours=24),
    "country_analysis": timedelta(hours=2),
    "alert_digest": timedelta(minutes=30),
    "pattern_report": timedelta(hours=6),
}

@dataclass
class CachedItem(Generic[T]):
    id: str
    cache_type: str
    cache_key: str
    content_markdown: str
    content_structured: T
    generated_at: datetime
    expires_at: datetime
    generation_time_ms: Optional[int] = None

class IntelligentCache:
    def __init__(self, db=None):
        self._memory: Dict[str, CachedItem] = {}
        self._db = db

    def _get_cache_key(self, cache_type: str, key: str) -> str:
        return f"{cache_type}:{key}"

    async def cache_content(
        self,
        cache_type: str,
        key: str,
        markdown: str,
        structured: T,
        generation_time_ms: Optional[int] = None,
    ) -> None:
        cache_key = self._get_cache_key(cache_type, key)
        now = datetime.now(timezone.utc)
        expires_at = now + CACHE_DURATIONS.get(cache_type, timedelta(hours=1))

        item = CachedItem(
            id=str(uuid.uuid4()),
            cache_type=cache_type,
            cache_key=key,
            content_markdown=markdown,
            content_structured=structured,
            generated_at=now,
            expires_at=expires_at,
            generation_time_ms=generation_time_ms,
        )

        self._memory[cache_key] = item

        if self._db:
            await self._db.cache.upsert(item)

    async def get_cached(self, cache_type: str, key: str) -> Optional[CachedItem]:
        cache_key = self._get_cache_key(cache_type, key)
        now = datetime.now(timezone.utc)

        # Check memory
        if cache_key in self._memory:
            item = self._memory[cache_key]
            if item.expires_at > now:
                return item
            del self._memory[cache_key]

        # Check database
        if self._db:
            item = await self._db.cache.find_valid(cache_type, key, now)
            if item:
                self._memory[cache_key] = item
                return item

        return None

    async def get_or_generate(
        self,
        cache_type: str,
        key: str,
        generator: Callable[[], Awaitable[tuple[str, T]]],
    ) -> tuple[str, T, bool, Optional[int]]:
        cached = await self.get_cached(cache_type, key)
        if cached:
            return (
                cached.content_markdown,
                cached.content_structured,
                True,
                cached.generation_time_ms,
            )

        import time
        start = time.perf_counter()
        markdown, structured = await generator()
        generation_time_ms = int((time.perf_counter() - start) * 1000)

        await self.cache_content(cache_type, key, markdown, structured, generation_time_ms)

        return markdown, structured, False, generation_time_ms

    async def invalidate(self, cache_type: str, key: str) -> None:
        cache_key = self._get_cache_key(cache_type, key)
        self._memory.pop(cache_key, None)

        if self._db:
            await self._db.cache.delete(cache_type, key)

    async def clear_expired(self) -> int:
        now = datetime.now(timezone.utc)
        cleared = 0

        for key in list(self._memory.keys()):
            if self._memory[key].expires_at <= now:
                del self._memory[key]
                cleared += 1

        if self._db:
            db_cleared = await self._db.cache.delete_expired(now)
            cleared = max(cleared, db_cleared)

        return cleared

Usage Examples

API Route with Caching

export async function GET(request: Request) {
  const { searchParams } = new URL(request.url);
  const date = searchParams.get('date') || getTodayDate();

  const result = await getOrGenerate(
    'daily_briefing',
    date,
    async () => {
      // Expensive generation only on cache miss
      const events = await fetchTodayEvents();
      const analysis = await generateAIAnalysis(events);

      return {
        markdown: analysis.markdown,
        structured: {
          events: events.length,
          riskScore: analysis.riskScore,
        },
      };
    }
  );

  return Response.json({
    ...result.structured,
    markdown: result.markdown,
    cached: result.fromCache,
    generationMs: result.generationTimeMs,
  });
}

Cache Statistics

function getCacheStats(): { memoryEntries: number; byType: Record<string, number> } {
  const byType: Record<string, number> = {};

  for (const cache of memoryCache.values()) {
    byType[cache.cacheType] = (byType[cache.cacheType] || 0) + 1;
  }

  return { memoryEntries: memoryCache.size, byType };
}

Best Practices

1. Set TTLs based on content freshness requirements
2. Use get-or-generate to prevent race conditions
3. Track generation time for optimization
4. Promote DB hits to memory for subsequent requests
5. Run periodic cleanup of expired entries

Common Mistakes

• Single TTL for all content types
• Separate cache check and generation (race conditions)
• No expiry cleanup (memory leaks)
• Not tracking generation time
• Throwing errors when cache unavailable

Related Patterns

• rate-limiting - Protect expensive generation
• circuit-breaker - Handle cache failures
• background-jobs - Async cache warming