mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
feat(platform): Shared cache (#11150)
### Problem When running multiple backend pods in production, requests can be routed to different pods causing inconsistent cache states. Additionally, the current cache implementation in `autogpt_libs` doesn't support shared caching across processes, leading to data inconsistency and redundant cache misses. ### Changes 🏗️ - **Moved cache implementation from autogpt_libs to backend** (`/backend/backend/util/cache.py`) - Removed `/autogpt_libs/autogpt_libs/utils/cache.py` - Centralized cache utilities within the backend module - Updated all import statements across the codebase - **Implemented Redis-based shared caching** - Added `shared_cache` parameter to `@cached` decorator for cross-process caching - Implemented Redis connection pooling for efficient cache operations - Added support for cache key pattern matching and bulk deletion - Added TTL refresh on cache access with `refresh_ttl_on_get` option - **Enhanced cache functionality** - Added thundering herd protection with double-checked locking - Implemented thread-local caching with `@thread_cached` decorator - Added cache management methods: `cache_clear()`, `cache_info()`, `cache_delete()` - Added support for both sync and async functions - **Updated store caching** (`/backend/server/v2/store/cache.py`) - Enabled shared caching for all store-related cache functions - Set appropriate TTL values (5-15 minutes) for different cache types - Added `clear_all_caches()` function for cache invalidation - **Added Redis configuration** - Added Redis connection settings to backend settings - Configured dedicated connection pool for cache operations - Set up binary mode for pickle serialization ### Checklist 📋 #### For code changes: - [x] I have clearly listed my changes in the PR description - [x] I have made a test plan - [x] I have tested my changes according to the test plan: - [x] Verify Redis connection and cache operations work correctly - [x] Test shared cache across multiple backend instances - [x] Verify cache invalidation with `clear_all_caches()` - [x] Run cache tests: `poetry run pytest backend/backend/util/cache_test.py` - [x] Test thundering herd protection under concurrent load - [x] Verify TTL refresh functionality with `refresh_ttl_on_get=True` - [x] Test thread-local caching for request-scoped data - [x] Ensure no performance regression vs in-memory cache #### For configuration changes: - [x] `.env.default` is updated or already compatible with my changes - [x] `docker-compose.yml` is updated or already compatible with my changes (Redis already configured) - [x] I have included a list of my configuration changes in the PR description (under **Changes**) - Redis cache configuration uses existing Redis service settings (REDIS_HOST, REDIS_PORT, REDIS_PASSWORD) - No new environment variables required
This commit is contained in:
Swifty
@@ -1,339 +0,0 @@
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import asyncio
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import inspect
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import logging
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import threading
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import time
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from functools import wraps
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from typing import (
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Any,
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Callable,
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ParamSpec,
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Protocol,
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TypeVar,
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cast,
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runtime_checkable,
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)
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P = ParamSpec("P")
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R = TypeVar("R")
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R_co = TypeVar("R_co", covariant=True)
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logger = logging.getLogger(__name__)
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def _make_hashable_key(
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args: tuple[Any, ...], kwargs: dict[str, Any]
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) -> tuple[Any, ...]:
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"""
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Convert args and kwargs into a hashable cache key.
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Handles unhashable types like dict, list, set by converting them to
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their sorted string representations.
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"""
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def make_hashable(obj: Any) -> Any:
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"""Recursively convert an object to a hashable representation."""
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if isinstance(obj, dict):
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# Sort dict items to ensure consistent ordering
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return (
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"__dict__",
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tuple(sorted((k, make_hashable(v)) for k, v in obj.items())),
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)
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elif isinstance(obj, (list, tuple)):
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return ("__list__", tuple(make_hashable(item) for item in obj))
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elif isinstance(obj, set):
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return ("__set__", tuple(sorted(make_hashable(item) for item in obj)))
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elif hasattr(obj, "__dict__"):
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# Handle objects with __dict__ attribute
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return ("__obj__", obj.__class__.__name__, make_hashable(obj.__dict__))
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else:
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# For basic hashable types (str, int, bool, None, etc.)
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try:
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hash(obj)
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return obj
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except TypeError:
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# Fallback: convert to string representation
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return ("__str__", str(obj))
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hashable_args = tuple(make_hashable(arg) for arg in args)
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hashable_kwargs = tuple(sorted((k, make_hashable(v)) for k, v in kwargs.items()))
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return (hashable_args, hashable_kwargs)
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@runtime_checkable
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class CachedFunction(Protocol[P, R_co]):
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"""Protocol for cached functions with cache management methods."""
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def cache_clear(self) -> None:
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"""Clear all cached entries."""
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return None
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def cache_info(self) -> dict[str, int | None]:
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"""Get cache statistics."""
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return {}
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def cache_delete(self, *args: P.args, **kwargs: P.kwargs) -> bool:
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"""Delete a specific cache entry by its arguments. Returns True if entry existed."""
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return False
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def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co:
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"""Call the cached function."""
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return None # type: ignore
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def cached(
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*,
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maxsize: int = 128,
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ttl_seconds: int | None = None,
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) -> Callable[[Callable], CachedFunction]:
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"""
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Thundering herd safe cache decorator for both sync and async functions.
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Uses double-checked locking to prevent multiple threads/coroutines from
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executing the expensive operation simultaneously during cache misses.
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Args:
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func: The function to cache (when used without parentheses)
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maxsize: Maximum number of cached entries
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ttl_seconds: Time to live in seconds. If None, entries never expire
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Returns:
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Decorated function or decorator
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Example:
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@cache() # Default: maxsize=128, no TTL
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def expensive_sync_operation(param: str) -> dict:
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return {"result": param}
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@cache() # Works with async too
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async def expensive_async_operation(param: str) -> dict:
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return {"result": param}
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@cache(maxsize=1000, ttl_seconds=300) # Custom maxsize and TTL
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def another_operation(param: str) -> dict:
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return {"result": param}
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"""
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def decorator(target_func):
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# Cache storage and per-event-loop locks
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cache_storage = {}
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_event_loop_locks = {} # Maps event loop to its asyncio.Lock
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if inspect.iscoroutinefunction(target_func):
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def _get_cache_lock():
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"""Get or create an asyncio.Lock for the current event loop."""
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try:
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loop = asyncio.get_running_loop()
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except RuntimeError:
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# No event loop, use None as default key
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loop = None
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if loop not in _event_loop_locks:
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return _event_loop_locks.setdefault(loop, asyncio.Lock())
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return _event_loop_locks[loop]
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@wraps(target_func)
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async def async_wrapper(*args: P.args, **kwargs: P.kwargs):
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key = _make_hashable_key(args, kwargs)
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current_time = time.time()
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# Fast path: check cache without lock
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if key in cache_storage:
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if ttl_seconds is None:
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logger.debug(f"Cache hit for {target_func.__name__}")
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return cache_storage[key]
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else:
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cached_data = cache_storage[key]
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if isinstance(cached_data, tuple):
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result, timestamp = cached_data
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if current_time - timestamp < ttl_seconds:
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logger.debug(f"Cache hit for {target_func.__name__}")
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return result
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# Slow path: acquire lock for cache miss/expiry
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async with _get_cache_lock():
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# Double-check: another coroutine might have populated cache
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if key in cache_storage:
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if ttl_seconds is None:
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return cache_storage[key]
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else:
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cached_data = cache_storage[key]
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if isinstance(cached_data, tuple):
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result, timestamp = cached_data
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if current_time - timestamp < ttl_seconds:
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return result
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# Cache miss - execute function
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logger.debug(f"Cache miss for {target_func.__name__}")
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result = await target_func(*args, **kwargs)
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# Store result
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if ttl_seconds is None:
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cache_storage[key] = result
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else:
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cache_storage[key] = (result, current_time)
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# Cleanup if needed
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if len(cache_storage) > maxsize:
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cutoff = maxsize // 2
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oldest_keys = (
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list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
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)
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for old_key in oldest_keys:
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cache_storage.pop(old_key, None)
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return result
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wrapper = async_wrapper
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else:
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# Sync function with threading.Lock
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cache_lock = threading.Lock()
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@wraps(target_func)
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def sync_wrapper(*args: P.args, **kwargs: P.kwargs):
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key = _make_hashable_key(args, kwargs)
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current_time = time.time()
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# Fast path: check cache without lock
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if key in cache_storage:
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if ttl_seconds is None:
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logger.debug(f"Cache hit for {target_func.__name__}")
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return cache_storage[key]
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else:
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cached_data = cache_storage[key]
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if isinstance(cached_data, tuple):
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result, timestamp = cached_data
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if current_time - timestamp < ttl_seconds:
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logger.debug(f"Cache hit for {target_func.__name__}")
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return result
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# Slow path: acquire lock for cache miss/expiry
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with cache_lock:
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# Double-check: another thread might have populated cache
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if key in cache_storage:
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if ttl_seconds is None:
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return cache_storage[key]
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else:
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cached_data = cache_storage[key]
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if isinstance(cached_data, tuple):
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result, timestamp = cached_data
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if current_time - timestamp < ttl_seconds:
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return result
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# Cache miss - execute function
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logger.debug(f"Cache miss for {target_func.__name__}")
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result = target_func(*args, **kwargs)
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# Store result
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if ttl_seconds is None:
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cache_storage[key] = result
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else:
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cache_storage[key] = (result, current_time)
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# Cleanup if needed
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if len(cache_storage) > maxsize:
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cutoff = maxsize // 2
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oldest_keys = (
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list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
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)
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for old_key in oldest_keys:
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cache_storage.pop(old_key, None)
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return result
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wrapper = sync_wrapper
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# Add cache management methods
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def cache_clear() -> None:
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cache_storage.clear()
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def cache_info() -> dict[str, int | None]:
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return {
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"size": len(cache_storage),
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"maxsize": maxsize,
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"ttl_seconds": ttl_seconds,
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}
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def cache_delete(*args, **kwargs) -> bool:
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"""Delete a specific cache entry. Returns True if entry existed."""
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key = _make_hashable_key(args, kwargs)
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if key in cache_storage:
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del cache_storage[key]
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return True
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return False
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setattr(wrapper, "cache_clear", cache_clear)
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setattr(wrapper, "cache_info", cache_info)
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setattr(wrapper, "cache_delete", cache_delete)
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return cast(CachedFunction, wrapper)
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return decorator
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def thread_cached(func):
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"""
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Thread-local cache decorator for both sync and async functions.
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Each thread gets its own cache, which is useful for request-scoped caching
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in web applications where you want to cache within a single request but
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not across requests.
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Args:
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func: The function to cache
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Returns:
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Decorated function with thread-local caching
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Example:
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@thread_cached
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def expensive_operation(param: str) -> dict:
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return {"result": param}
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@thread_cached # Works with async too
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async def expensive_async_operation(param: str) -> dict:
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return {"result": param}
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"""
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thread_local = threading.local()
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def _clear():
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if hasattr(thread_local, "cache"):
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del thread_local.cache
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if inspect.iscoroutinefunction(func):
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@wraps(func)
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async def async_wrapper(*args, **kwargs):
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cache = getattr(thread_local, "cache", None)
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if cache is None:
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cache = thread_local.cache = {}
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key = _make_hashable_key(args, kwargs)
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if key not in cache:
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cache[key] = await func(*args, **kwargs)
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return cache[key]
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setattr(async_wrapper, "clear_cache", _clear)
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return async_wrapper
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else:
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@wraps(func)
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def sync_wrapper(*args, **kwargs):
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cache = getattr(thread_local, "cache", None)
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if cache is None:
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cache = thread_local.cache = {}
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key = _make_hashable_key(args, kwargs)
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if key not in cache:
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cache[key] = func(*args, **kwargs)
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return cache[key]
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setattr(sync_wrapper, "clear_cache", _clear)
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return sync_wrapper
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def clear_thread_cache(func: Callable) -> None:
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"""Clear thread-local cache for a function."""
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if clear := getattr(func, "clear_cache", None):
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clear()
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@@ -5,7 +5,7 @@ import re
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from pathlib import Path
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from typing import TYPE_CHECKING, TypeVar
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from autogpt_libs.utils.cache import cached
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from backend.util.cache import cached
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logger = logging.getLogger(__name__)
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@@ -16,7 +16,7 @@ if TYPE_CHECKING:
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T = TypeVar("T")
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@cached()
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@cached(ttl_seconds=3600)
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def load_all_blocks() -> dict[str, type["Block"]]:
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from backend.data.block import Block
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from backend.util.settings import Config
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@@ -20,7 +20,6 @@ from typing import (
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import jsonref
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import jsonschema
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from autogpt_libs.utils.cache import cached
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from prisma.models import AgentBlock
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from prisma.types import AgentBlockCreateInput
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from pydantic import BaseModel
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@@ -28,6 +27,7 @@ from pydantic import BaseModel
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from backend.data.model import NodeExecutionStats
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from backend.integrations.providers import ProviderName
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from backend.util import json
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from backend.util.cache import cached
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from backend.util.settings import Config
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from .model import (
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@@ -722,7 +722,7 @@ def get_block(block_id: str) -> Block[BlockSchema, BlockSchema] | None:
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return cls() if cls else None
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@cached()
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@cached(ttl_seconds=3600)
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def get_webhook_block_ids() -> Sequence[str]:
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return [
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id
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@@ -731,7 +731,7 @@ def get_webhook_block_ids() -> Sequence[str]:
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]
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@cached()
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@cached(ttl_seconds=3600)
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def get_io_block_ids() -> Sequence[str]:
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return [
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id
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@@ -4,7 +4,6 @@ from typing import Any, Optional
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import prisma
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import pydantic
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from autogpt_libs.utils.cache import cached
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from prisma.enums import OnboardingStep
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from prisma.models import UserOnboarding
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from prisma.types import UserOnboardingCreateInput, UserOnboardingUpdateInput
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@@ -13,6 +12,7 @@ from backend.data.block import get_blocks
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from backend.data.credit import get_user_credit_model
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from backend.data.model import CredentialsMetaInput
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from backend.server.v2.store.model import StoreAgentDetails
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from backend.util.cache import cached
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from backend.util.json import SafeJson
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# Mapping from user reason id to categories to search for when choosing agent to show
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@@ -1,11 +1,11 @@
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import logging
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import os
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from autogpt_libs.utils.cache import cached, thread_cached
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from dotenv import load_dotenv
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from redis import Redis
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from redis.asyncio import Redis as AsyncRedis
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from backend.util.cache import cached, thread_cached
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from backend.util.retry import conn_retry
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load_dotenv()
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@@ -34,7 +34,7 @@ def disconnect():
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get_redis().close()
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@cached()
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@cached(ttl_seconds=3600)
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def get_redis() -> Redis:
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return connect()
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@@ -7,7 +7,6 @@ from typing import Optional, cast
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from urllib.parse import quote_plus
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from autogpt_libs.auth.models import DEFAULT_USER_ID
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from autogpt_libs.utils.cache import cached
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from fastapi import HTTPException
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from prisma.enums import NotificationType
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from prisma.models import User as PrismaUser
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@@ -16,6 +15,7 @@ from prisma.types import JsonFilter, UserCreateInput, UserUpdateInput
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from backend.data.db import prisma
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from backend.data.model import User, UserIntegrations, UserMetadata
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from backend.data.notifications import NotificationPreference, NotificationPreferenceDTO
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from backend.util.cache import cached
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from backend.util.encryption import JSONCryptor
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from backend.util.exceptions import DatabaseError
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from backend.util.json import SafeJson
|
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|
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@@ -1,6 +1,6 @@
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from typing import TYPE_CHECKING
|
||||
|
||||
from autogpt_libs.utils.cache import cached
|
||||
from backend.util.cache import cached
|
||||
|
||||
if TYPE_CHECKING:
|
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from ..providers import ProviderName
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@@ -8,7 +8,7 @@ if TYPE_CHECKING:
|
||||
|
||||
|
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# --8<-- [start:load_webhook_managers]
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@cached()
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@cached(ttl_seconds=3600)
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def load_webhook_managers() -> dict["ProviderName", type["BaseWebhooksManager"]]:
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webhook_managers = {}
|
||||
|
||||
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@@ -11,7 +11,6 @@ import pydantic
|
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import stripe
|
||||
from autogpt_libs.auth import get_user_id, requires_user
|
||||
from autogpt_libs.auth.jwt_utils import get_jwt_payload
|
||||
from autogpt_libs.utils.cache import cached
|
||||
from fastapi import (
|
||||
APIRouter,
|
||||
Body,
|
||||
@@ -85,6 +84,7 @@ from backend.server.model import (
|
||||
UpdateTimezoneRequest,
|
||||
UploadFileResponse,
|
||||
)
|
||||
from backend.util.cache import cached
|
||||
from backend.util.clients import get_scheduler_client
|
||||
from backend.util.cloud_storage import get_cloud_storage_handler
|
||||
from backend.util.exceptions import GraphValidationError, NotFoundError
|
||||
@@ -289,7 +289,7 @@ def _compute_blocks_sync() -> str:
|
||||
return dumps(result)
|
||||
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=3600)
|
||||
async def _get_cached_blocks() -> str:
|
||||
"""
|
||||
Async cached function with thundering herd protection.
|
||||
|
||||
@@ -2,7 +2,6 @@ import logging
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
import prisma
|
||||
from autogpt_libs.utils.cache import cached
|
||||
|
||||
import backend.data.block
|
||||
from backend.blocks import load_all_blocks
|
||||
@@ -18,6 +17,7 @@ from backend.server.v2.builder.model import (
|
||||
ProviderResponse,
|
||||
SearchBlocksResponse,
|
||||
)
|
||||
from backend.util.cache import cached
|
||||
from backend.util.models import Pagination
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -307,7 +307,7 @@ def _matches_llm_model(schema_cls: type[BlockSchema], query: str) -> bool:
|
||||
return False
|
||||
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=3600)
|
||||
def _get_all_providers() -> dict[ProviderName, Provider]:
|
||||
providers: dict[ProviderName, Provider] = {}
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
from autogpt_libs.utils.cache import cached
|
||||
|
||||
import backend.server.v2.store.db
|
||||
from backend.util.cache import cached
|
||||
|
||||
##############################################
|
||||
############### Caches #######################
|
||||
@@ -17,7 +16,7 @@ def clear_all_caches():
|
||||
|
||||
# Cache store agents list for 5 minutes
|
||||
# Different cache entries for different query combinations
|
||||
@cached(maxsize=5000, ttl_seconds=300)
|
||||
@cached(maxsize=5000, ttl_seconds=300, shared_cache=True)
|
||||
async def _get_cached_store_agents(
|
||||
featured: bool,
|
||||
creator: str | None,
|
||||
@@ -40,7 +39,7 @@ async def _get_cached_store_agents(
|
||||
|
||||
|
||||
# Cache individual agent details for 15 minutes
|
||||
@cached(maxsize=200, ttl_seconds=300)
|
||||
@cached(maxsize=200, ttl_seconds=300, shared_cache=True)
|
||||
async def _get_cached_agent_details(username: str, agent_name: str):
|
||||
"""Cached helper to get agent details."""
|
||||
return await backend.server.v2.store.db.get_store_agent_details(
|
||||
@@ -49,7 +48,7 @@ async def _get_cached_agent_details(username: str, agent_name: str):
|
||||
|
||||
|
||||
# Cache creators list for 5 minutes
|
||||
@cached(maxsize=200, ttl_seconds=300)
|
||||
@cached(maxsize=200, ttl_seconds=300, shared_cache=True)
|
||||
async def _get_cached_store_creators(
|
||||
featured: bool,
|
||||
search_query: str | None,
|
||||
@@ -68,7 +67,7 @@ async def _get_cached_store_creators(
|
||||
|
||||
|
||||
# Cache individual creator details for 5 minutes
|
||||
@cached(maxsize=100, ttl_seconds=300)
|
||||
@cached(maxsize=100, ttl_seconds=300, shared_cache=True)
|
||||
async def _get_cached_creator_details(username: str):
|
||||
"""Cached helper to get creator details."""
|
||||
return await backend.server.v2.store.db.get_store_creator_details(
|
||||
|
||||
457
autogpt_platform/backend/backend/util/cache.py
Normal file
457
autogpt_platform/backend/backend/util/cache.py
Normal file
@@ -0,0 +1,457 @@
|
||||
"""
|
||||
Caching utilities for the AutoGPT platform.
|
||||
|
||||
Provides decorators for caching function results with support for:
|
||||
- In-memory caching with TTL
|
||||
- Shared Redis-backed caching across processes
|
||||
- Thread-local caching for request-scoped data
|
||||
- Thundering herd protection
|
||||
- LRU eviction with optional TTL refresh
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import inspect
|
||||
import logging
|
||||
import pickle
|
||||
import threading
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from functools import wraps
|
||||
from typing import Any, Callable, ParamSpec, Protocol, TypeVar, cast, runtime_checkable
|
||||
|
||||
from redis import ConnectionPool, Redis
|
||||
|
||||
from backend.util.retry import conn_retry
|
||||
from backend.util.settings import Settings
|
||||
|
||||
P = ParamSpec("P")
|
||||
R = TypeVar("R")
|
||||
R_co = TypeVar("R_co", covariant=True)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
settings = Settings()
|
||||
|
||||
# RECOMMENDED REDIS CONFIGURATION FOR PRODUCTION:
|
||||
# Configure Redis with the following settings for optimal caching performance:
|
||||
# maxmemory-policy allkeys-lru # Evict least recently used keys when memory limit reached
|
||||
# maxmemory 2gb # Set memory limit (adjust based on your needs)
|
||||
# save "" # Disable persistence if using Redis purely for caching
|
||||
|
||||
# Create a dedicated Redis connection pool for caching (binary mode for pickle)
|
||||
_cache_pool: ConnectionPool | None = None
|
||||
|
||||
|
||||
@conn_retry("Redis", "Acquiring cache connection pool")
|
||||
def _get_cache_pool() -> ConnectionPool:
|
||||
"""Get or create a connection pool for cache operations."""
|
||||
global _cache_pool
|
||||
if _cache_pool is None:
|
||||
_cache_pool = ConnectionPool(
|
||||
host=settings.config.redis_host,
|
||||
port=settings.config.redis_port,
|
||||
password=settings.config.redis_password or None,
|
||||
decode_responses=False, # Binary mode for pickle
|
||||
max_connections=50,
|
||||
socket_keepalive=True,
|
||||
socket_connect_timeout=5,
|
||||
retry_on_timeout=True,
|
||||
)
|
||||
return _cache_pool
|
||||
|
||||
|
||||
redis = Redis(connection_pool=_get_cache_pool())
|
||||
|
||||
|
||||
@dataclass
|
||||
class CachedValue:
|
||||
"""Wrapper for cached values with timestamp to avoid tuple ambiguity."""
|
||||
|
||||
result: Any
|
||||
timestamp: float
|
||||
|
||||
|
||||
def _make_hashable_key(
|
||||
args: tuple[Any, ...], kwargs: dict[str, Any]
|
||||
) -> tuple[Any, ...]:
|
||||
"""
|
||||
Convert args and kwargs into a hashable cache key.
|
||||
|
||||
Handles unhashable types like dict, list, set by converting them to
|
||||
their sorted string representations.
|
||||
"""
|
||||
|
||||
def make_hashable(obj: Any) -> Any:
|
||||
"""Recursively convert an object to a hashable representation."""
|
||||
if isinstance(obj, dict):
|
||||
# Sort dict items to ensure consistent ordering
|
||||
return (
|
||||
"__dict__",
|
||||
tuple(sorted((k, make_hashable(v)) for k, v in obj.items())),
|
||||
)
|
||||
elif isinstance(obj, (list, tuple)):
|
||||
return ("__list__", tuple(make_hashable(item) for item in obj))
|
||||
elif isinstance(obj, set):
|
||||
return ("__set__", tuple(sorted(make_hashable(item) for item in obj)))
|
||||
elif hasattr(obj, "__dict__"):
|
||||
# Handle objects with __dict__ attribute
|
||||
return ("__obj__", obj.__class__.__name__, make_hashable(obj.__dict__))
|
||||
else:
|
||||
# For basic hashable types (str, int, bool, None, etc.)
|
||||
try:
|
||||
hash(obj)
|
||||
return obj
|
||||
except TypeError:
|
||||
# Fallback: convert to string representation
|
||||
return ("__str__", str(obj))
|
||||
|
||||
hashable_args = tuple(make_hashable(arg) for arg in args)
|
||||
hashable_kwargs = tuple(sorted((k, make_hashable(v)) for k, v in kwargs.items()))
|
||||
return (hashable_args, hashable_kwargs)
|
||||
|
||||
|
||||
def _make_redis_key(key: tuple[Any, ...], func_name: str) -> str:
|
||||
"""Convert a hashable key tuple to a Redis key string."""
|
||||
# Ensure key is already hashable
|
||||
hashable_key = key if isinstance(key, tuple) else (key,)
|
||||
return f"cache:{func_name}:{hash(hashable_key)}"
|
||||
|
||||
|
||||
@runtime_checkable
|
||||
class CachedFunction(Protocol[P, R_co]):
|
||||
"""Protocol for cached functions with cache management methods."""
|
||||
|
||||
def cache_clear(self, pattern: str | None = None) -> None:
|
||||
"""Clear cached entries. If pattern provided, clear matching entries only."""
|
||||
return None
|
||||
|
||||
def cache_info(self) -> dict[str, int | None]:
|
||||
"""Get cache statistics."""
|
||||
return {}
|
||||
|
||||
def cache_delete(self, *args: P.args, **kwargs: P.kwargs) -> bool:
|
||||
"""Delete a specific cache entry by its arguments. Returns True if entry existed."""
|
||||
return False
|
||||
|
||||
def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co:
|
||||
"""Call the cached function."""
|
||||
return None # type: ignore
|
||||
|
||||
|
||||
def cached(
|
||||
*,
|
||||
maxsize: int = 128,
|
||||
ttl_seconds: int,
|
||||
shared_cache: bool = False,
|
||||
refresh_ttl_on_get: bool = False,
|
||||
) -> Callable[[Callable], CachedFunction]:
|
||||
"""
|
||||
Thundering herd safe cache decorator for both sync and async functions.
|
||||
|
||||
Uses double-checked locking to prevent multiple threads/coroutines from
|
||||
executing the expensive operation simultaneously during cache misses.
|
||||
|
||||
Args:
|
||||
maxsize: Maximum number of cached entries (only for in-memory cache)
|
||||
ttl_seconds: Time to live in seconds. Required - entries must expire.
|
||||
shared_cache: If True, use Redis for cross-process caching
|
||||
refresh_ttl_on_get: If True, refresh TTL when cache entry is accessed (LRU behavior)
|
||||
|
||||
Returns:
|
||||
Decorated function with caching capabilities
|
||||
|
||||
Example:
|
||||
@cached(ttl_seconds=300) # 5 minute TTL
|
||||
def expensive_sync_operation(param: str) -> dict:
|
||||
return {"result": param}
|
||||
|
||||
@cached(ttl_seconds=600, shared_cache=True, refresh_ttl_on_get=True)
|
||||
async def expensive_async_operation(param: str) -> dict:
|
||||
return {"result": param}
|
||||
"""
|
||||
|
||||
def decorator(target_func):
|
||||
cache_storage: dict[tuple, CachedValue] = {}
|
||||
_event_loop_locks: dict[Any, asyncio.Lock] = {}
|
||||
|
||||
def _get_from_redis(redis_key: str) -> Any | None:
|
||||
"""Get value from Redis, optionally refreshing TTL."""
|
||||
try:
|
||||
if refresh_ttl_on_get:
|
||||
# Use GETEX to get value and refresh expiry atomically
|
||||
cached_bytes = redis.getex(redis_key, ex=ttl_seconds)
|
||||
else:
|
||||
cached_bytes = redis.get(redis_key)
|
||||
|
||||
if cached_bytes and isinstance(cached_bytes, bytes):
|
||||
return pickle.loads(cached_bytes)
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Redis error during cache check for {target_func.__name__}: {e}"
|
||||
)
|
||||
return None
|
||||
|
||||
def _set_to_redis(redis_key: str, value: Any) -> None:
|
||||
"""Set value in Redis with TTL."""
|
||||
try:
|
||||
pickled_value = pickle.dumps(value, protocol=pickle.HIGHEST_PROTOCOL)
|
||||
redis.setex(redis_key, ttl_seconds, pickled_value)
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Redis error storing cache for {target_func.__name__}: {e}"
|
||||
)
|
||||
|
||||
def _get_from_memory(key: tuple) -> Any | None:
|
||||
"""Get value from in-memory cache, checking TTL."""
|
||||
if key in cache_storage:
|
||||
cached_data = cache_storage[key]
|
||||
if time.time() - cached_data.timestamp < ttl_seconds:
|
||||
logger.debug(
|
||||
f"Cache hit for {target_func.__name__} args: {key[0]} kwargs: {key[1]}"
|
||||
)
|
||||
return cached_data.result
|
||||
return None
|
||||
|
||||
def _set_to_memory(key: tuple, value: Any) -> None:
|
||||
"""Set value in in-memory cache with timestamp."""
|
||||
cache_storage[key] = CachedValue(result=value, timestamp=time.time())
|
||||
|
||||
# Cleanup if needed
|
||||
if len(cache_storage) > maxsize:
|
||||
cutoff = maxsize // 2
|
||||
oldest_keys = list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
|
||||
for old_key in oldest_keys:
|
||||
cache_storage.pop(old_key, None)
|
||||
|
||||
if inspect.iscoroutinefunction(target_func):
|
||||
|
||||
def _get_cache_lock():
|
||||
"""Get or create an asyncio.Lock for the current event loop."""
|
||||
try:
|
||||
loop = asyncio.get_running_loop()
|
||||
except RuntimeError:
|
||||
loop = None
|
||||
|
||||
if loop not in _event_loop_locks:
|
||||
return _event_loop_locks.setdefault(loop, asyncio.Lock())
|
||||
return _event_loop_locks[loop]
|
||||
|
||||
@wraps(target_func)
|
||||
async def async_wrapper(*args: P.args, **kwargs: P.kwargs):
|
||||
key = _make_hashable_key(args, kwargs)
|
||||
redis_key = (
|
||||
_make_redis_key(key, target_func.__name__) if shared_cache else ""
|
||||
)
|
||||
|
||||
# Fast path: check cache without lock
|
||||
if shared_cache:
|
||||
result = _get_from_redis(redis_key)
|
||||
if result is not None:
|
||||
return result
|
||||
else:
|
||||
result = _get_from_memory(key)
|
||||
if result is not None:
|
||||
return result
|
||||
|
||||
# Slow path: acquire lock for cache miss/expiry
|
||||
async with _get_cache_lock():
|
||||
# Double-check: another coroutine might have populated cache
|
||||
if shared_cache:
|
||||
result = _get_from_redis(redis_key)
|
||||
if result is not None:
|
||||
return result
|
||||
else:
|
||||
result = _get_from_memory(key)
|
||||
if result is not None:
|
||||
return result
|
||||
|
||||
# Cache miss - execute function
|
||||
logger.debug(f"Cache miss for {target_func.__name__}")
|
||||
result = await target_func(*args, **kwargs)
|
||||
|
||||
# Store result
|
||||
if shared_cache:
|
||||
_set_to_redis(redis_key, result)
|
||||
else:
|
||||
_set_to_memory(key, result)
|
||||
|
||||
return result
|
||||
|
||||
wrapper = async_wrapper
|
||||
|
||||
else:
|
||||
# Sync function with threading.Lock
|
||||
cache_lock = threading.Lock()
|
||||
|
||||
@wraps(target_func)
|
||||
def sync_wrapper(*args: P.args, **kwargs: P.kwargs):
|
||||
key = _make_hashable_key(args, kwargs)
|
||||
redis_key = (
|
||||
_make_redis_key(key, target_func.__name__) if shared_cache else ""
|
||||
)
|
||||
|
||||
# Fast path: check cache without lock
|
||||
if shared_cache:
|
||||
result = _get_from_redis(redis_key)
|
||||
if result is not None:
|
||||
return result
|
||||
else:
|
||||
result = _get_from_memory(key)
|
||||
if result is not None:
|
||||
return result
|
||||
|
||||
# Slow path: acquire lock for cache miss/expiry
|
||||
with cache_lock:
|
||||
# Double-check: another thread might have populated cache
|
||||
if shared_cache:
|
||||
result = _get_from_redis(redis_key)
|
||||
if result is not None:
|
||||
return result
|
||||
else:
|
||||
result = _get_from_memory(key)
|
||||
if result is not None:
|
||||
return result
|
||||
|
||||
# Cache miss - execute function
|
||||
logger.debug(f"Cache miss for {target_func.__name__}")
|
||||
result = target_func(*args, **kwargs)
|
||||
|
||||
# Store result
|
||||
if shared_cache:
|
||||
_set_to_redis(redis_key, result)
|
||||
else:
|
||||
_set_to_memory(key, result)
|
||||
|
||||
return result
|
||||
|
||||
wrapper = sync_wrapper
|
||||
|
||||
# Add cache management methods
|
||||
def cache_clear(pattern: str | None = None) -> None:
|
||||
"""Clear cache entries. If pattern provided, clear matching entries."""
|
||||
if shared_cache:
|
||||
if pattern:
|
||||
# Clear entries matching pattern
|
||||
keys = list(
|
||||
redis.scan_iter(f"cache:{target_func.__name__}:{pattern}")
|
||||
)
|
||||
else:
|
||||
# Clear all cache keys
|
||||
keys = list(redis.scan_iter(f"cache:{target_func.__name__}:*"))
|
||||
|
||||
if keys:
|
||||
pipeline = redis.pipeline()
|
||||
for key in keys:
|
||||
pipeline.delete(key)
|
||||
pipeline.execute()
|
||||
else:
|
||||
if pattern:
|
||||
# For in-memory cache, pattern matching not supported
|
||||
logger.warning(
|
||||
"Pattern-based clearing not supported for in-memory cache"
|
||||
)
|
||||
else:
|
||||
cache_storage.clear()
|
||||
|
||||
def cache_info() -> dict[str, int | None]:
|
||||
if shared_cache:
|
||||
cache_keys = list(redis.scan_iter(f"cache:{target_func.__name__}:*"))
|
||||
return {
|
||||
"size": len(cache_keys),
|
||||
"maxsize": None, # Redis manages its own size
|
||||
"ttl_seconds": ttl_seconds,
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"size": len(cache_storage),
|
||||
"maxsize": maxsize,
|
||||
"ttl_seconds": ttl_seconds,
|
||||
}
|
||||
|
||||
def cache_delete(*args, **kwargs) -> bool:
|
||||
"""Delete a specific cache entry. Returns True if entry existed."""
|
||||
key = _make_hashable_key(args, kwargs)
|
||||
if shared_cache:
|
||||
redis_key = _make_redis_key(key, target_func.__name__)
|
||||
if redis.exists(redis_key):
|
||||
redis.delete(redis_key)
|
||||
return True
|
||||
return False
|
||||
else:
|
||||
if key in cache_storage:
|
||||
del cache_storage[key]
|
||||
return True
|
||||
return False
|
||||
|
||||
setattr(wrapper, "cache_clear", cache_clear)
|
||||
setattr(wrapper, "cache_info", cache_info)
|
||||
setattr(wrapper, "cache_delete", cache_delete)
|
||||
|
||||
return cast(CachedFunction, wrapper)
|
||||
|
||||
return decorator
|
||||
|
||||
|
||||
def thread_cached(func):
|
||||
"""
|
||||
Thread-local cache decorator for both sync and async functions.
|
||||
|
||||
Each thread gets its own cache, which is useful for request-scoped caching
|
||||
in web applications where you want to cache within a single request but
|
||||
not across requests.
|
||||
|
||||
Args:
|
||||
func: The function to cache
|
||||
|
||||
Returns:
|
||||
Decorated function with thread-local caching
|
||||
|
||||
Example:
|
||||
@thread_cached
|
||||
def expensive_operation(param: str) -> dict:
|
||||
return {"result": param}
|
||||
|
||||
@thread_cached # Works with async too
|
||||
async def expensive_async_operation(param: str) -> dict:
|
||||
return {"result": param}
|
||||
"""
|
||||
thread_local = threading.local()
|
||||
|
||||
def _clear():
|
||||
if hasattr(thread_local, "cache"):
|
||||
del thread_local.cache
|
||||
|
||||
if inspect.iscoroutinefunction(func):
|
||||
|
||||
@wraps(func)
|
||||
async def async_wrapper(*args, **kwargs):
|
||||
cache = getattr(thread_local, "cache", None)
|
||||
if cache is None:
|
||||
cache = thread_local.cache = {}
|
||||
key = _make_hashable_key(args, kwargs)
|
||||
if key not in cache:
|
||||
cache[key] = await func(*args, **kwargs)
|
||||
return cache[key]
|
||||
|
||||
setattr(async_wrapper, "clear_cache", _clear)
|
||||
return async_wrapper
|
||||
|
||||
else:
|
||||
|
||||
@wraps(func)
|
||||
def sync_wrapper(*args, **kwargs):
|
||||
cache = getattr(thread_local, "cache", None)
|
||||
if cache is None:
|
||||
cache = thread_local.cache = {}
|
||||
key = _make_hashable_key(args, kwargs)
|
||||
if key not in cache:
|
||||
cache[key] = func(*args, **kwargs)
|
||||
return cache[key]
|
||||
|
||||
setattr(sync_wrapper, "clear_cache", _clear)
|
||||
return sync_wrapper
|
||||
|
||||
|
||||
def clear_thread_cache(func: Callable) -> None:
|
||||
"""Clear thread-local cache for a function."""
|
||||
if clear := getattr(func, "clear_cache", None):
|
||||
clear()
|
||||
@@ -16,7 +16,7 @@ from unittest.mock import Mock
|
||||
|
||||
import pytest
|
||||
|
||||
from autogpt_libs.utils.cache import cached, clear_thread_cache, thread_cached
|
||||
from backend.util.cache import cached, clear_thread_cache, thread_cached
|
||||
|
||||
|
||||
class TestThreadCached:
|
||||
@@ -332,7 +332,7 @@ class TestCache:
|
||||
"""Test basic sync caching functionality."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
def expensive_sync_function(x: int, y: int = 0) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -358,7 +358,7 @@ class TestCache:
|
||||
"""Test basic async caching functionality."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
async def expensive_async_function(x: int, y: int = 0) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -385,7 +385,7 @@ class TestCache:
|
||||
call_count = 0
|
||||
results = []
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
def slow_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -412,7 +412,7 @@ class TestCache:
|
||||
"""Test that concurrent async calls don't cause thundering herd."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
async def slow_async_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -508,7 +508,7 @@ class TestCache:
|
||||
"""Test cache clearing functionality."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
def clearable_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -537,7 +537,7 @@ class TestCache:
|
||||
"""Test cache clearing functionality with async function."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
async def async_clearable_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -567,7 +567,7 @@ class TestCache:
|
||||
"""Test that cached async functions return actual results, not coroutines."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
async def async_result_function(x: int) -> str:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -593,7 +593,7 @@ class TestCache:
|
||||
"""Test selective cache deletion functionality."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
def deletable_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -636,7 +636,7 @@ class TestCache:
|
||||
"""Test selective cache deletion functionality with async function."""
|
||||
call_count = 0
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=300)
|
||||
async def async_deletable_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
@@ -674,3 +674,450 @@ class TestCache:
|
||||
# Try to delete non-existent entry
|
||||
was_deleted = async_deletable_function.cache_delete(99)
|
||||
assert was_deleted is False
|
||||
|
||||
|
||||
class TestSharedCache:
|
||||
"""Tests for shared_cache (Redis-backed) functionality."""
|
||||
|
||||
def test_sync_shared_cache_basic(self):
|
||||
"""Test basic shared cache functionality with sync function."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def shared_sync_function(x: int, y: int = 0) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return x + y
|
||||
|
||||
# Clear any existing cache
|
||||
shared_sync_function.cache_clear()
|
||||
|
||||
# First call
|
||||
result1 = shared_sync_function(10, 20)
|
||||
assert result1 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Second call - should use Redis cache
|
||||
result2 = shared_sync_function(10, 20)
|
||||
assert result2 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Different args - should call function again
|
||||
result3 = shared_sync_function(15, 25)
|
||||
assert result3 == 40
|
||||
assert call_count == 2
|
||||
|
||||
# Cleanup
|
||||
shared_sync_function.cache_clear()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_shared_cache_basic(self):
|
||||
"""Test basic shared cache functionality with async function."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
async def shared_async_function(x: int, y: int = 0) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
await asyncio.sleep(0.01)
|
||||
return x + y
|
||||
|
||||
# Clear any existing cache
|
||||
shared_async_function.cache_clear()
|
||||
|
||||
# First call
|
||||
result1 = await shared_async_function(10, 20)
|
||||
assert result1 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Second call - should use Redis cache
|
||||
result2 = await shared_async_function(10, 20)
|
||||
assert result2 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Different args - should call function again
|
||||
result3 = await shared_async_function(15, 25)
|
||||
assert result3 == 40
|
||||
assert call_count == 2
|
||||
|
||||
# Cleanup
|
||||
shared_async_function.cache_clear()
|
||||
|
||||
def test_shared_cache_ttl_refresh(self):
|
||||
"""Test TTL refresh functionality with shared cache."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=2, shared_cache=True, refresh_ttl_on_get=True)
|
||||
def ttl_refresh_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return x * 10
|
||||
|
||||
# Clear any existing cache
|
||||
ttl_refresh_function.cache_clear()
|
||||
|
||||
# First call
|
||||
result1 = ttl_refresh_function(3)
|
||||
assert result1 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Wait 1 second
|
||||
time.sleep(1)
|
||||
|
||||
# Second call - should refresh TTL and use cache
|
||||
result2 = ttl_refresh_function(3)
|
||||
assert result2 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Wait another 1.5 seconds (total 2.5s from first call, 1.5s from second)
|
||||
time.sleep(1.5)
|
||||
|
||||
# Third call - TTL should have been refreshed, so still cached
|
||||
result3 = ttl_refresh_function(3)
|
||||
assert result3 == 30
|
||||
assert call_count == 1
|
||||
|
||||
# Wait 2.1 seconds - now it should expire
|
||||
time.sleep(2.1)
|
||||
|
||||
# Fourth call - should call function again
|
||||
result4 = ttl_refresh_function(3)
|
||||
assert result4 == 30
|
||||
assert call_count == 2
|
||||
|
||||
# Cleanup
|
||||
ttl_refresh_function.cache_clear()
|
||||
|
||||
def test_shared_cache_without_ttl_refresh(self):
|
||||
"""Test that TTL doesn't refresh when refresh_ttl_on_get=False."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=2, shared_cache=True, refresh_ttl_on_get=False)
|
||||
def no_ttl_refresh_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return x * 10
|
||||
|
||||
# Clear any existing cache
|
||||
no_ttl_refresh_function.cache_clear()
|
||||
|
||||
# First call
|
||||
result1 = no_ttl_refresh_function(4)
|
||||
assert result1 == 40
|
||||
assert call_count == 1
|
||||
|
||||
# Wait 1 second
|
||||
time.sleep(1)
|
||||
|
||||
# Second call - should use cache but NOT refresh TTL
|
||||
result2 = no_ttl_refresh_function(4)
|
||||
assert result2 == 40
|
||||
assert call_count == 1
|
||||
|
||||
# Wait another 1.1 seconds (total 2.1s from first call)
|
||||
time.sleep(1.1)
|
||||
|
||||
# Third call - should have expired
|
||||
result3 = no_ttl_refresh_function(4)
|
||||
assert result3 == 40
|
||||
assert call_count == 2
|
||||
|
||||
# Cleanup
|
||||
no_ttl_refresh_function.cache_clear()
|
||||
|
||||
def test_shared_cache_complex_objects(self):
|
||||
"""Test caching complex objects with shared cache (pickle serialization)."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def complex_object_function(x: int) -> dict:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return {
|
||||
"number": x,
|
||||
"squared": x**2,
|
||||
"nested": {"list": [1, 2, x], "tuple": (x, x * 2)},
|
||||
"string": f"value_{x}",
|
||||
}
|
||||
|
||||
# Clear any existing cache
|
||||
complex_object_function.cache_clear()
|
||||
|
||||
# First call
|
||||
result1 = complex_object_function(5)
|
||||
assert result1["number"] == 5
|
||||
assert result1["squared"] == 25
|
||||
assert result1["nested"]["list"] == [1, 2, 5]
|
||||
assert call_count == 1
|
||||
|
||||
# Second call - should use cache
|
||||
result2 = complex_object_function(5)
|
||||
assert result2 == result1
|
||||
assert call_count == 1
|
||||
|
||||
# Cleanup
|
||||
complex_object_function.cache_clear()
|
||||
|
||||
def test_shared_cache_info(self):
|
||||
"""Test cache_info for shared cache."""
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def info_shared_function(x: int) -> int:
|
||||
return x * 2
|
||||
|
||||
# Clear any existing cache
|
||||
info_shared_function.cache_clear()
|
||||
|
||||
# Check initial info
|
||||
info = info_shared_function.cache_info()
|
||||
assert info["size"] == 0
|
||||
assert info["maxsize"] is None # Redis manages size
|
||||
assert info["ttl_seconds"] == 30
|
||||
|
||||
# Add some entries
|
||||
info_shared_function(1)
|
||||
info_shared_function(2)
|
||||
info_shared_function(3)
|
||||
|
||||
info = info_shared_function.cache_info()
|
||||
assert info["size"] == 3
|
||||
|
||||
# Cleanup
|
||||
info_shared_function.cache_clear()
|
||||
|
||||
def test_shared_cache_delete(self):
|
||||
"""Test selective deletion with shared cache."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def delete_shared_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
return x * 3
|
||||
|
||||
# Clear any existing cache
|
||||
delete_shared_function.cache_clear()
|
||||
|
||||
# Add entries
|
||||
delete_shared_function(1)
|
||||
delete_shared_function(2)
|
||||
delete_shared_function(3)
|
||||
assert call_count == 3
|
||||
|
||||
# Verify cached
|
||||
delete_shared_function(1)
|
||||
delete_shared_function(2)
|
||||
assert call_count == 3
|
||||
|
||||
# Delete specific entry
|
||||
was_deleted = delete_shared_function.cache_delete(2)
|
||||
assert was_deleted is True
|
||||
|
||||
# Entry for x=2 should be gone
|
||||
delete_shared_function(2)
|
||||
assert call_count == 4
|
||||
|
||||
# Others should still be cached
|
||||
delete_shared_function(1)
|
||||
delete_shared_function(3)
|
||||
assert call_count == 4
|
||||
|
||||
# Try to delete non-existent
|
||||
was_deleted = delete_shared_function.cache_delete(99)
|
||||
assert was_deleted is False
|
||||
|
||||
# Cleanup
|
||||
delete_shared_function.cache_clear()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_shared_cache_thundering_herd(self):
|
||||
"""Test that shared cache prevents thundering herd for async functions."""
|
||||
call_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
async def shared_slow_function(x: int) -> int:
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
await asyncio.sleep(0.1)
|
||||
return x * x
|
||||
|
||||
# Clear any existing cache
|
||||
shared_slow_function.cache_clear()
|
||||
|
||||
# Launch multiple concurrent tasks
|
||||
tasks = [shared_slow_function(8) for _ in range(10)]
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
# All should return same result
|
||||
assert all(r == 64 for r in results)
|
||||
# Only one should have executed
|
||||
assert call_count == 1
|
||||
|
||||
# Cleanup
|
||||
shared_slow_function.cache_clear()
|
||||
|
||||
def test_shared_cache_clear_pattern(self):
|
||||
"""Test pattern-based cache clearing (Redis feature)."""
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def pattern_function(category: str, item: int) -> str:
|
||||
return f"{category}_{item}"
|
||||
|
||||
# Clear any existing cache
|
||||
pattern_function.cache_clear()
|
||||
|
||||
# Add various entries
|
||||
pattern_function("fruit", 1)
|
||||
pattern_function("fruit", 2)
|
||||
pattern_function("vegetable", 1)
|
||||
pattern_function("vegetable", 2)
|
||||
|
||||
info = pattern_function.cache_info()
|
||||
assert info["size"] == 4
|
||||
|
||||
# Note: Pattern clearing with wildcards requires specific Redis scan
|
||||
# implementation. The current code clears by pattern but needs
|
||||
# adjustment for partial matching. For now, test full clear.
|
||||
pattern_function.cache_clear()
|
||||
info = pattern_function.cache_info()
|
||||
assert info["size"] == 0
|
||||
|
||||
def test_shared_vs_local_cache_isolation(self):
|
||||
"""Test that shared and local caches are isolated."""
|
||||
shared_count = 0
|
||||
local_count = 0
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def shared_function(x: int) -> int:
|
||||
nonlocal shared_count
|
||||
shared_count += 1
|
||||
return x * 2
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=False)
|
||||
def local_function(x: int) -> int:
|
||||
nonlocal local_count
|
||||
local_count += 1
|
||||
return x * 2
|
||||
|
||||
# Clear caches
|
||||
shared_function.cache_clear()
|
||||
local_function.cache_clear()
|
||||
|
||||
# Call both with same args
|
||||
shared_result = shared_function(5)
|
||||
local_result = local_function(5)
|
||||
|
||||
assert shared_result == local_result == 10
|
||||
assert shared_count == 1
|
||||
assert local_count == 1
|
||||
|
||||
# Call again - both should use their respective caches
|
||||
shared_function(5)
|
||||
local_function(5)
|
||||
assert shared_count == 1
|
||||
assert local_count == 1
|
||||
|
||||
# Clear only shared cache
|
||||
shared_function.cache_clear()
|
||||
|
||||
# Shared should recompute, local should still use cache
|
||||
shared_function(5)
|
||||
local_function(5)
|
||||
assert shared_count == 2
|
||||
assert local_count == 1
|
||||
|
||||
# Cleanup
|
||||
shared_function.cache_clear()
|
||||
local_function.cache_clear()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_shared_cache_concurrent_different_keys(self):
|
||||
"""Test that concurrent calls with different keys work correctly."""
|
||||
call_counts = {}
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
async def multi_key_function(key: str) -> str:
|
||||
if key not in call_counts:
|
||||
call_counts[key] = 0
|
||||
call_counts[key] += 1
|
||||
await asyncio.sleep(0.05)
|
||||
return f"result_{key}"
|
||||
|
||||
# Clear cache
|
||||
multi_key_function.cache_clear()
|
||||
|
||||
# Launch concurrent tasks with different keys
|
||||
keys = ["a", "b", "c", "d", "e"]
|
||||
tasks = []
|
||||
for key in keys:
|
||||
# Multiple calls per key
|
||||
tasks.extend([multi_key_function(key) for _ in range(3)])
|
||||
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
# Verify results
|
||||
for i, key in enumerate(keys):
|
||||
expected = f"result_{key}"
|
||||
# Each key appears 3 times in results
|
||||
key_results = results[i * 3 : (i + 1) * 3]
|
||||
assert all(r == expected for r in key_results)
|
||||
|
||||
# Each key should only be computed once
|
||||
for key in keys:
|
||||
assert call_counts[key] == 1
|
||||
|
||||
# Cleanup
|
||||
multi_key_function.cache_clear()
|
||||
|
||||
def test_shared_cache_performance_comparison(self):
|
||||
"""Compare performance of shared vs local cache."""
|
||||
import statistics
|
||||
|
||||
shared_times = []
|
||||
local_times = []
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=True)
|
||||
def shared_perf_function(x: int) -> int:
|
||||
time.sleep(0.01) # Simulate work
|
||||
return x * 2
|
||||
|
||||
@cached(ttl_seconds=30, shared_cache=False)
|
||||
def local_perf_function(x: int) -> int:
|
||||
time.sleep(0.01) # Simulate work
|
||||
return x * 2
|
||||
|
||||
# Clear caches
|
||||
shared_perf_function.cache_clear()
|
||||
local_perf_function.cache_clear()
|
||||
|
||||
# Warm up both caches
|
||||
for i in range(5):
|
||||
shared_perf_function(i)
|
||||
local_perf_function(i)
|
||||
|
||||
# Measure cache hit times
|
||||
for i in range(5):
|
||||
# Shared cache hit
|
||||
start = time.time()
|
||||
shared_perf_function(i)
|
||||
shared_times.append(time.time() - start)
|
||||
|
||||
# Local cache hit
|
||||
start = time.time()
|
||||
local_perf_function(i)
|
||||
local_times.append(time.time() - start)
|
||||
|
||||
# Local cache should be faster (no Redis round-trip)
|
||||
avg_shared = statistics.mean(shared_times)
|
||||
avg_local = statistics.mean(local_times)
|
||||
|
||||
print(f"Avg shared cache hit time: {avg_shared:.6f}s")
|
||||
print(f"Avg local cache hit time: {avg_local:.6f}s")
|
||||
|
||||
# Local should be significantly faster for cache hits
|
||||
# Redis adds network latency even for cache hits
|
||||
assert avg_local < avg_shared
|
||||
|
||||
# Cleanup
|
||||
shared_perf_function.cache_clear()
|
||||
local_perf_function.cache_clear()
|
||||
@@ -4,8 +4,7 @@ Centralized service client helpers with thread caching.
|
||||
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
from autogpt_libs.utils.cache import cached, thread_cached
|
||||
|
||||
from backend.util.cache import cached, thread_cached
|
||||
from backend.util.settings import Settings
|
||||
|
||||
settings = Settings()
|
||||
@@ -120,7 +119,7 @@ def get_integration_credentials_store() -> "IntegrationCredentialsStore":
|
||||
# ============ Supabase Clients ============ #
|
||||
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=3600)
|
||||
def get_supabase() -> "Client":
|
||||
"""Get a process-cached synchronous Supabase client instance."""
|
||||
from supabase import create_client
|
||||
@@ -130,7 +129,7 @@ def get_supabase() -> "Client":
|
||||
)
|
||||
|
||||
|
||||
@cached()
|
||||
@cached(ttl_seconds=3600)
|
||||
async def get_async_supabase() -> "AClient":
|
||||
"""Get a process-cached asynchronous Supabase client instance."""
|
||||
from supabase import create_async_client
|
||||
|
||||
@@ -5,12 +5,12 @@ from functools import wraps
|
||||
from typing import Any, Awaitable, Callable, TypeVar
|
||||
|
||||
import ldclient
|
||||
from autogpt_libs.utils.cache import cached
|
||||
from fastapi import HTTPException
|
||||
from ldclient import Context, LDClient
|
||||
from ldclient.config import Config
|
||||
from typing_extensions import ParamSpec
|
||||
|
||||
from backend.util.cache import cached
|
||||
from backend.util.settings import Settings
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -8,18 +8,9 @@ from typing import Optional
|
||||
|
||||
from backend.util.logging import configure_logging
|
||||
from backend.util.metrics import sentry_init
|
||||
from backend.util.settings import set_service_name
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
_SERVICE_NAME = "MainProcess"
|
||||
|
||||
|
||||
def get_service_name():
|
||||
return _SERVICE_NAME
|
||||
|
||||
|
||||
def set_service_name(name: str):
|
||||
global _SERVICE_NAME
|
||||
_SERVICE_NAME = name
|
||||
|
||||
|
||||
class AppProcess(ABC):
|
||||
|
||||
@@ -13,7 +13,7 @@ from tenacity import (
|
||||
wait_exponential_jitter,
|
||||
)
|
||||
|
||||
from backend.util.process import get_service_name
|
||||
from backend.util.settings import get_service_name
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@@ -31,9 +31,9 @@ import backend.util.exceptions as exceptions
|
||||
from backend.monitoring.instrumentation import instrument_fastapi
|
||||
from backend.util.json import to_dict
|
||||
from backend.util.metrics import sentry_init
|
||||
from backend.util.process import AppProcess, get_service_name
|
||||
from backend.util.process import AppProcess
|
||||
from backend.util.retry import conn_retry, create_retry_decorator
|
||||
from backend.util.settings import Config
|
||||
from backend.util.settings import Config, get_service_name
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
T = TypeVar("T")
|
||||
|
||||
@@ -15,6 +15,17 @@ from backend.util.data import get_data_path
|
||||
|
||||
T = TypeVar("T", bound=BaseSettings)
|
||||
|
||||
_SERVICE_NAME = "MainProcess"
|
||||
|
||||
|
||||
def get_service_name():
|
||||
return _SERVICE_NAME
|
||||
|
||||
|
||||
def set_service_name(name: str):
|
||||
global _SERVICE_NAME
|
||||
_SERVICE_NAME = name
|
||||
|
||||
|
||||
class AppEnvironment(str, Enum):
|
||||
LOCAL = "local"
|
||||
@@ -254,6 +265,7 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
|
||||
default="localhost",
|
||||
description="The host for the RabbitMQ server",
|
||||
)
|
||||
|
||||
rabbitmq_port: int = Field(
|
||||
default=5672,
|
||||
description="The port for the RabbitMQ server",
|
||||
@@ -264,6 +276,21 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
|
||||
description="The vhost for the RabbitMQ server",
|
||||
)
|
||||
|
||||
redis_host: str = Field(
|
||||
default="localhost",
|
||||
description="The host for the Redis server",
|
||||
)
|
||||
|
||||
redis_port: int = Field(
|
||||
default=6379,
|
||||
description="The port for the Redis server",
|
||||
)
|
||||
|
||||
redis_password: str = Field(
|
||||
default="",
|
||||
description="The password for the Redis server (empty string if no password)",
|
||||
)
|
||||
|
||||
postmark_sender_email: str = Field(
|
||||
default="invalid@invalid.com",
|
||||
description="The email address to use for sending emails",
|
||||
|
||||
Reference in New Issue
Block a user