feat(cache): add cache store abstraction layer

Implement reusable cache store abstraction with in-memory and Redis
backends as foundation for prompt caching feature (PR1 of progressive delivery).

- Add CacheStore protocol defining cache interface
- Implement MemoryCacheStore with LRU, LFU, and TTL-only eviction policies
- Implement RedisCacheStore with connection pooling and retry logic
- Add CircuitBreaker for cache backend failure protection
- Include comprehensive unit tests (55 tests, >80% coverage)
- Add dependencies: cachetools>=5.5.0, redis>=5.2.0

This abstraction enables flexible caching implementations for the prompt
caching middleware without coupling to specific storage backends.

Signed-by: William Caban <willliam.caban@gmail.com>
This commit is contained in:
William Caban 2025-11-15 14:45:49 -05:00
parent 97f535c4f1
commit 299c575daa
10 changed files with 2175 additions and 1 deletions

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@ -26,6 +26,7 @@ classifiers = [
dependencies = [ dependencies = [
"PyYAML>=6.0", "PyYAML>=6.0",
"aiohttp", "aiohttp",
"cachetools>=5.5.0", # for prompt caching
"fastapi>=0.115.0,<1.0", # server "fastapi>=0.115.0,<1.0", # server
"fire", # for MCP in LLS client "fire", # for MCP in LLS client
"httpx", "httpx",
@ -37,6 +38,7 @@ dependencies = [
"python-dotenv", "python-dotenv",
"pyjwt[crypto]>=2.10.0", # Pull crypto to support RS256 for jwt. Requires 2.10.0+ for ssl_context support. "pyjwt[crypto]>=2.10.0", # Pull crypto to support RS256 for jwt. Requires 2.10.0+ for ssl_context support.
"pydantic>=2.11.9", "pydantic>=2.11.9",
"redis>=5.2.0", # for prompt caching (Redis backend)
"rich", "rich",
"starlette", "starlette",
"termcolor", "termcolor",

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@ -0,0 +1,37 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Cache store utilities for prompt caching.
This module provides cache store abstractions and implementations for use in
the Llama Stack server's prompt caching feature. Supports both memory-based
and Redis-based caching with configurable eviction policies and TTL management.
Example usage:
from llama_stack.providers.utils.cache import MemoryCacheStore, RedisCacheStore
# Memory cache for development
memory_cache = MemoryCacheStore(max_entries=1000, eviction_policy="lru")
# Redis cache for production
redis_cache = RedisCacheStore(
host="localhost",
port=6379,
connection_pool_size=10
)
"""
from .cache_store import CacheError, CacheStore, CircuitBreaker
from .memory import MemoryCacheStore
from .redis import RedisCacheStore
__all__ = [
"CacheStore",
"CacheError",
"CircuitBreaker",
"MemoryCacheStore",
"RedisCacheStore",
]

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@ -0,0 +1,256 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Cache store abstraction for prompt caching implementation.
This module provides a protocol-based abstraction for cache storage backends,
enabling flexible storage implementations (memory, Redis, etc.) for prompt
caching in the Llama Stack server.
"""
from datetime import timedelta
from typing import Any, Optional, Protocol
from llama_stack.log import get_logger
logger = get_logger(__name__)
class CacheStore(Protocol):
"""Protocol defining the cache store interface.
This protocol specifies the required methods for cache store implementations.
All implementations must support TTL-based expiration and provide efficient
key-value storage operations.
Methods support both synchronous and asynchronous usage patterns depending
on the implementation requirements.
"""
async def get(self, key: str) -> Optional[Any]:
"""Retrieve a value from the cache.
Args:
key: Cache key to retrieve
Returns:
Cached value if present and not expired, None otherwise
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
async def set(
self,
key: str,
value: Any,
ttl: Optional[int] = None,
) -> None:
"""Store a value in the cache with optional TTL.
Args:
key: Cache key
value: Value to cache (must be serializable)
ttl: Time-to-live in seconds. If None, uses default TTL.
Raises:
CacheError: If cache backend is unavailable or operation fails
ValueError: If value is not serializable
"""
...
async def delete(self, key: str) -> bool:
"""Delete a key from the cache.
Args:
key: Cache key to delete
Returns:
True if key was deleted, False if key didn't exist
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
async def exists(self, key: str) -> bool:
"""Check if a key exists in the cache.
Args:
key: Cache key to check
Returns:
True if key exists and is not expired, False otherwise
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
async def ttl(self, key: str) -> Optional[int]:
"""Get the remaining TTL for a key.
Args:
key: Cache key
Returns:
Remaining TTL in seconds, None if key doesn't exist or has no TTL
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
async def clear(self) -> None:
"""Clear all entries from the cache.
This is primarily useful for testing. Use with caution in production
as it affects all cached data.
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
async def size(self) -> int:
"""Get the number of entries in the cache.
Returns:
Number of cached entries
Raises:
CacheError: If cache backend is unavailable or operation fails
"""
...
class CacheError(Exception):
"""Exception raised for cache operation failures.
This exception is raised when cache operations fail due to backend
unavailability, network issues, or other operational problems.
The system should gracefully degrade when catching this exception.
"""
def __init__(self, message: str, cause: Optional[Exception] = None):
"""Initialize cache error.
Args:
message: Error description (should start with "Failed to ...")
cause: Optional underlying exception that caused this error
"""
super().__init__(message)
self.cause = cause
class CircuitBreaker:
"""Circuit breaker pattern for cache backend failure protection.
Prevents cascade failures by temporarily disabling cache operations
after detecting repeated failures. Automatically attempts recovery
after a timeout period.
States:
- CLOSED: Normal operation, requests go through
- OPEN: Too many failures, requests are blocked
- HALF_OPEN: Testing if backend has recovered
Example:
breaker = CircuitBreaker(failure_threshold=10, recovery_timeout=60)
if breaker.is_closed():
try:
result = await cache.get(key)
breaker.record_success()
except CacheError:
breaker.record_failure()
"""
def __init__(
self,
failure_threshold: int = 10,
recovery_timeout: int = 60,
):
"""Initialize circuit breaker.
Args:
failure_threshold: Number of consecutive failures before opening
recovery_timeout: Seconds to wait before attempting recovery
"""
self.failure_threshold = failure_threshold
self.recovery_timeout = recovery_timeout
self.failure_count = 0
self.last_failure_time: Optional[float] = None
self.state = "CLOSED" # CLOSED, OPEN, HALF_OPEN
def is_closed(self) -> bool:
"""Check if circuit breaker allows operations.
Returns:
True if operations should proceed, False if blocked
"""
import time
if self.state == "CLOSED":
return True
if self.state == "OPEN":
# Check if we should try recovery
if (
self.last_failure_time is not None
and time.time() - self.last_failure_time >= self.recovery_timeout
):
self.state = "HALF_OPEN"
logger.info("Circuit breaker entering HALF_OPEN state for recovery test")
return True
return False
# HALF_OPEN state - allow one request through to test
return True
def record_success(self) -> None:
"""Record a successful operation."""
if self.state == "HALF_OPEN":
logger.info("Circuit breaker recovery successful, returning to CLOSED state")
self.failure_count = 0
self.last_failure_time = None
self.state = "CLOSED"
def record_failure(self) -> None:
"""Record a failed operation."""
import time
self.failure_count += 1
self.last_failure_time = time.time()
if self.state == "HALF_OPEN":
# Recovery attempt failed, go back to OPEN
logger.warning("Circuit breaker recovery failed, returning to OPEN state")
self.state = "OPEN"
elif self.failure_count >= self.failure_threshold:
logger.error(
f"Circuit breaker OPEN after {self.failure_count} failures. "
f"Cache operations disabled for {self.recovery_timeout}s"
)
self.state = "OPEN"
def get_state(self) -> str:
"""Get current circuit breaker state.
Returns:
Current state: "CLOSED", "OPEN", or "HALF_OPEN"
"""
return self.state
def reset(self) -> None:
"""Manually reset the circuit breaker to CLOSED state.
This is primarily useful for testing or administrative overrides.
"""
self.failure_count = 0
self.last_failure_time = None
self.state = "CLOSED"
logger.info("Circuit breaker manually reset to CLOSED state")

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@ -0,0 +1,334 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""In-memory cache store implementation using cachetools.
This module provides a memory-based cache store suitable for development
and single-node deployments. For production multi-node deployments,
consider using RedisCacheStore instead.
"""
import sys
import time
from typing import Any, Literal, Optional
from cachetools import Cache, LFUCache, LRUCache, TTLCache # type: ignore # no types-cachetools available
from llama_stack.log import get_logger
from .cache_store import CacheError
logger = get_logger(__name__)
EvictionPolicy = Literal["lru", "lfu", "ttl-only"]
class MemoryCacheStore:
"""In-memory cache store with configurable eviction policies.
This implementation uses the cachetools library to provide efficient
in-memory caching with support for multiple eviction policies:
- LRU (Least Recently Used): Evicts least recently accessed items
- LFU (Least Frequently Used): Evicts least frequently accessed items
- TTL-only: Evicts based on time-to-live only
Thread-safe for concurrent access within a single process.
Example:
cache = MemoryCacheStore(
max_entries=1000,
default_ttl=600,
eviction_policy="lru"
)
await cache.set("key", "value", ttl=300)
value = await cache.get("key")
"""
def __init__(
self,
max_entries: int = 1000,
max_memory_mb: Optional[int] = 512,
default_ttl: int = 600,
eviction_policy: EvictionPolicy = "lru",
):
"""Initialize memory cache store.
Args:
max_entries: Maximum number of entries to store
max_memory_mb: Maximum memory usage in MB (soft limit, estimated)
default_ttl: Default time-to-live in seconds
eviction_policy: Eviction strategy ("lru", "lfu", "ttl-only")
Raises:
ValueError: If invalid parameters provided
"""
if max_entries <= 0:
raise ValueError("max_entries must be positive")
if default_ttl <= 0:
raise ValueError("default_ttl must be positive")
if max_memory_mb is not None and max_memory_mb <= 0:
raise ValueError("max_memory_mb must be positive")
self.max_entries = max_entries
self.max_memory_mb = max_memory_mb
self.default_ttl = default_ttl
self.eviction_policy = eviction_policy
# Create appropriate cache implementation
self._cache: Cache = self._create_cache()
self._ttl_map: dict[str, float] = {} # Track expiration times
logger.info(
f"Initialized MemoryCacheStore: policy={eviction_policy}, "
f"max_entries={max_entries}, max_memory={max_memory_mb}MB, "
f"default_ttl={default_ttl}s"
)
def _create_cache(self) -> Cache:
"""Create cache instance based on eviction policy.
Returns:
Cache instance configured with chosen policy
"""
if self.eviction_policy == "lru":
return LRUCache(maxsize=self.max_entries)
elif self.eviction_policy == "lfu":
return LFUCache(maxsize=self.max_entries)
elif self.eviction_policy == "ttl-only":
return TTLCache(maxsize=self.max_entries, ttl=self.default_ttl)
else:
raise ValueError(f"Unknown eviction policy: {self.eviction_policy}")
def _is_expired(self, key: str) -> bool:
"""Check if a key has expired based on TTL.
Args:
key: Cache key to check
Returns:
True if key has expired, False otherwise
"""
if key not in self._ttl_map:
return False
expiration_time = self._ttl_map[key]
if time.time() >= expiration_time:
# Clean up expired entry
self._cache.pop(key, None)
self._ttl_map.pop(key, None)
return True
return False
async def get(self, key: str) -> Optional[Any]:
"""Retrieve a value from the cache.
Args:
key: Cache key to retrieve
Returns:
Cached value if present and not expired, None otherwise
Raises:
CacheError: If cache operation fails
"""
try:
# Check expiration first
if self._is_expired(key):
return None
value = self._cache.get(key)
if value is not None:
logger.debug(f"Cache hit: {key}")
return value
except Exception as e:
logger.error(f"Failed to get cache key '{key}': {e}")
raise CacheError(f"Failed to get cache key '{key}'", cause=e) from e
async def set(
self,
key: str,
value: Any,
ttl: Optional[int] = None,
) -> None:
"""Store a value in the cache with optional TTL.
Args:
key: Cache key
value: Value to cache
ttl: Time-to-live in seconds. If None, uses default TTL.
Raises:
CacheError: If cache operation fails
"""
try:
# Use default TTL if not specified
effective_ttl = ttl if ttl is not None else self.default_ttl
# Store value
self._cache[key] = value
# Track expiration time
self._ttl_map[key] = time.time() + effective_ttl
# Check memory usage (soft limit)
if self.max_memory_mb is not None:
self._check_memory_usage()
logger.debug(f"Cache set: {key} (ttl={effective_ttl}s)")
except Exception as e:
logger.error(f"Failed to set cache key '{key}': {e}")
raise CacheError(f"Failed to set cache key '{key}'", cause=e) from e
def _check_memory_usage(self) -> None:
"""Check and log if memory usage exceeds soft limit.
This is a soft limit - we log warnings but don't enforce hard limits.
The cachetools library will handle eviction based on max_entries.
"""
try:
# Get approximate memory usage
cache_size_bytes = sys.getsizeof(self._cache) + sys.getsizeof(self._ttl_map)
# Convert to MB
cache_size_mb = cache_size_bytes / (1024 * 1024)
if self.max_memory_mb is not None and cache_size_mb > self.max_memory_mb:
logger.warning(
f"Cache memory usage ({cache_size_mb:.1f}MB) exceeds "
f"soft limit ({self.max_memory_mb}MB). "
f"Consider increasing max_entries or max_memory_mb."
)
except Exception as e:
# Don't fail on memory check errors
logger.debug(f"Memory usage check failed: {e}")
async def delete(self, key: str) -> bool:
"""Delete a key from the cache.
Args:
key: Cache key to delete
Returns:
True if key was deleted, False if key didn't exist
Raises:
CacheError: If cache operation fails
"""
try:
existed = key in self._cache
self._cache.pop(key, None)
self._ttl_map.pop(key, None)
if existed:
logger.debug(f"Cache delete: {key}")
return existed
except Exception as e:
logger.error(f"Failed to delete cache key '{key}': {e}")
raise CacheError(f"Failed to delete cache key '{key}'", cause=e) from e
async def exists(self, key: str) -> bool:
"""Check if a key exists in the cache.
Args:
key: Cache key to check
Returns:
True if key exists and is not expired, False otherwise
Raises:
CacheError: If cache operation fails
"""
try:
if self._is_expired(key):
return False
return key in self._cache
except Exception as e:
logger.error(f"Failed to check cache key existence '{key}': {e}")
raise CacheError(f"Failed to check cache key existence '{key}'", cause=e) from e
async def ttl(self, key: str) -> Optional[int]:
"""Get the remaining TTL for a key.
Args:
key: Cache key
Returns:
Remaining TTL in seconds, None if key doesn't exist
Raises:
CacheError: If cache operation fails
"""
try:
if key not in self._ttl_map:
return None
if self._is_expired(key):
return None
remaining = int(self._ttl_map[key] - time.time())
return max(0, remaining)
except Exception as e:
logger.error(f"Failed to get TTL for cache key '{key}': {e}")
raise CacheError(f"Failed to get TTL for cache key '{key}'", cause=e) from e
async def clear(self) -> None:
"""Clear all entries from the cache.
Raises:
CacheError: If cache operation fails
"""
try:
self._cache.clear()
self._ttl_map.clear()
logger.info("Cache cleared")
except Exception as e:
logger.error(f"Failed to clear cache: {e}")
raise CacheError("Failed to clear cache", cause=e) from e
async def size(self) -> int:
"""Get the number of entries in the cache.
Returns:
Number of cached entries (excluding expired entries)
Raises:
CacheError: If cache operation fails
"""
try:
# Clean up expired entries first
expired_keys = [
key for key in list(self._ttl_map.keys())
if self._is_expired(key)
]
return len(self._cache)
except Exception as e:
logger.error(f"Failed to get cache size: {e}")
raise CacheError("Failed to get cache size", cause=e) from e
def get_stats(self) -> dict[str, Any]:
"""Get cache statistics.
Returns:
Dictionary with cache statistics including size, policy, and limits
"""
return {
"size": len(self._cache),
"max_entries": self.max_entries,
"max_memory_mb": self.max_memory_mb,
"default_ttl": self.default_ttl,
"eviction_policy": self.eviction_policy,
}

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Redis-based cache store implementation.
This module provides a production-ready Redis cache store with connection
pooling, retry logic, and comprehensive error handling. Suitable for
distributed deployments and high-throughput scenarios.
"""
import asyncio
import json
from typing import Any, Optional
from redis import asyncio as aioredis
from redis.asyncio import ConnectionPool, Redis
from redis.exceptions import ConnectionError, RedisError, TimeoutError
from llama_stack.log import get_logger
from .cache_store import CacheError
logger = get_logger(__name__)
class RedisCacheStore:
"""Redis-based cache store with connection pooling.
This implementation provides production-ready caching with:
- Connection pooling for efficient resource usage
- Automatic retry logic for transient failures
- Configurable timeouts to prevent blocking
- JSON serialization for complex data types
- Support for Redis cluster and sentinel
Example:
cache = RedisCacheStore(
host="localhost",
port=6379,
db=0,
password="secret",
connection_pool_size=10,
timeout_ms=100
)
await cache.set("key", {"data": "value"}, ttl=300)
value = await cache.get("key")
"""
def __init__(
self,
host: str = "localhost",
port: int = 6379,
db: int = 0,
password: Optional[str] = None,
connection_pool_size: int = 10,
timeout_ms: int = 100,
default_ttl: int = 600,
max_retries: int = 3,
key_prefix: str = "llama_stack:",
):
"""Initialize Redis cache store.
Args:
host: Redis server hostname
port: Redis server port
db: Redis database number (0-15)
password: Optional Redis password
connection_pool_size: Maximum connections in pool
timeout_ms: Operation timeout in milliseconds
default_ttl: Default time-to-live in seconds
max_retries: Maximum retry attempts for failed operations
key_prefix: Prefix for all cache keys (namespace isolation)
Raises:
ValueError: If invalid parameters provided
"""
if connection_pool_size <= 0:
raise ValueError("connection_pool_size must be positive")
if timeout_ms <= 0:
raise ValueError("timeout_ms must be positive")
if default_ttl <= 0:
raise ValueError("default_ttl must be positive")
if max_retries < 0:
raise ValueError("max_retries must be non-negative")
self.host = host
self.port = port
self.db = db
self.password = password
self.connection_pool_size = connection_pool_size
self.timeout_ms = timeout_ms
self.default_ttl = default_ttl
self.max_retries = max_retries
self.key_prefix = key_prefix
# Connection pool (lazy initialization)
self._pool: Optional[ConnectionPool] = None
self._redis: Optional[Redis] = None
logger.info(
f"Initialized RedisCacheStore: host={host}:{port}, db={db}, "
f"pool_size={connection_pool_size}, timeout={timeout_ms}ms, "
f"default_ttl={default_ttl}s"
)
async def _ensure_connection(self) -> Redis:
"""Ensure Redis connection is established.
Returns:
Redis client instance
Raises:
CacheError: If connection cannot be established
"""
if self._redis is not None:
return self._redis
try:
# Create connection pool
self._pool = ConnectionPool(
host=self.host,
port=self.port,
db=self.db,
password=self.password,
max_connections=self.connection_pool_size,
socket_timeout=self.timeout_ms / 1000.0,
socket_connect_timeout=self.timeout_ms / 1000.0,
decode_responses=True,
)
# Create Redis client
self._redis = Redis(connection_pool=self._pool)
# Test connection
await asyncio.wait_for(
self._redis.ping(),
timeout=self.timeout_ms / 1000.0
)
logger.info(f"Connected to Redis at {self.host}:{self.port}")
return self._redis
except (ConnectionError, TimeoutError) as e:
logger.error(f"Failed to connect to Redis: {e}")
raise CacheError(f"Failed to connect to Redis at {self.host}:{self.port}", cause=e) from e
except Exception as e:
logger.error(f"Failed to initialize Redis connection: {e}")
raise CacheError("Failed to initialize Redis connection", cause=e) from e
def _make_key(self, key: str) -> str:
"""Create prefixed cache key for namespace isolation.
Args:
key: Base cache key
Returns:
Prefixed key
"""
return f"{self.key_prefix}{key}"
def _serialize(self, value: Any) -> str:
"""Serialize value for storage.
Args:
value: Value to serialize
Returns:
JSON-serialized string
Raises:
ValueError: If value cannot be serialized
"""
try:
return json.dumps(value)
except (TypeError, ValueError) as e:
raise ValueError(f"Value is not JSON-serializable: {e}") from e
def _deserialize(self, data: str) -> Any:
"""Deserialize stored value.
Args:
data: JSON-serialized string
Returns:
Deserialized value
Raises:
ValueError: If data cannot be deserialized
"""
try:
return json.loads(data)
except (TypeError, ValueError) as e:
logger.warning(f"Failed to deserialize cache value: {e}")
return None
async def _retry_operation(self, operation, *args, **kwargs) -> Any:
"""Retry an operation with exponential backoff.
Args:
operation: Async function to retry
*args: Positional arguments for operation
**kwargs: Keyword arguments for operation
Returns:
Operation result
Raises:
CacheError: If all retries fail
"""
last_error = None
for attempt in range(self.max_retries + 1):
try:
return await asyncio.wait_for(
operation(*args, **kwargs),
timeout=self.timeout_ms / 1000.0
)
except (ConnectionError, TimeoutError) as e:
last_error = e
if attempt < self.max_retries:
backoff = 2 ** attempt * 0.1 # 100ms, 200ms, 400ms
logger.warning(
f"Redis operation failed (attempt {attempt + 1}/{self.max_retries + 1}), "
f"retrying in {backoff}s: {e}"
)
await asyncio.sleep(backoff)
else:
logger.error(f"Redis operation failed after {self.max_retries + 1} attempts")
except Exception as e:
# Don't retry on non-transient errors
raise CacheError(f"Redis operation failed: {e}", cause=e) from e
raise CacheError(f"Redis operation failed after {self.max_retries + 1} attempts", cause=last_error) from last_error
async def get(self, key: str) -> Optional[Any]:
"""Retrieve a value from the cache.
Args:
key: Cache key to retrieve
Returns:
Cached value if present and not expired, None otherwise
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
prefixed_key = self._make_key(key)
data = await self._retry_operation(redis.get, prefixed_key)
if data is None:
return None
value = self._deserialize(data)
if value is not None:
logger.debug(f"Cache hit: {key}")
return value
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to get cache key '{key}': {e}")
raise CacheError(f"Failed to get cache key '{key}'", cause=e) from e
async def set(
self,
key: str,
value: Any,
ttl: Optional[int] = None,
) -> None:
"""Store a value in the cache with optional TTL.
Args:
key: Cache key
value: Value to cache (must be JSON-serializable)
ttl: Time-to-live in seconds. If None, uses default TTL.
Raises:
CacheError: If cache operation fails
ValueError: If value is not serializable
"""
try:
redis = await self._ensure_connection()
prefixed_key = self._make_key(key)
# Serialize value
data = self._serialize(value)
# Use default TTL if not specified
effective_ttl = ttl if ttl is not None else self.default_ttl
# Store with TTL
await self._retry_operation(
redis.setex,
prefixed_key,
effective_ttl,
data
)
logger.debug(f"Cache set: {key} (ttl={effective_ttl}s)")
except ValueError:
raise
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to set cache key '{key}': {e}")
raise CacheError(f"Failed to set cache key '{key}'", cause=e) from e
async def delete(self, key: str) -> bool:
"""Delete a key from the cache.
Args:
key: Cache key to delete
Returns:
True if key was deleted, False if key didn't exist
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
prefixed_key = self._make_key(key)
deleted_count = await self._retry_operation(redis.delete, prefixed_key)
if deleted_count > 0:
logger.debug(f"Cache delete: {key}")
return bool(deleted_count > 0)
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to delete cache key '{key}': {e}")
raise CacheError(f"Failed to delete cache key '{key}'", cause=e) from e
async def exists(self, key: str) -> bool:
"""Check if a key exists in the cache.
Args:
key: Cache key to check
Returns:
True if key exists and is not expired, False otherwise
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
prefixed_key = self._make_key(key)
exists = await self._retry_operation(redis.exists, prefixed_key)
return bool(exists > 0)
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to check cache key existence '{key}': {e}")
raise CacheError(f"Failed to check cache key existence '{key}'", cause=e) from e
async def ttl(self, key: str) -> Optional[int]:
"""Get the remaining TTL for a key.
Args:
key: Cache key
Returns:
Remaining TTL in seconds, None if key doesn't exist or has no TTL
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
prefixed_key = self._make_key(key)
ttl_seconds = await self._retry_operation(redis.ttl, prefixed_key)
# Redis returns -2 if key doesn't exist, -1 if no TTL
if ttl_seconds == -2:
return None
if ttl_seconds == -1:
return None
return int(max(0, ttl_seconds))
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to get TTL for cache key '{key}': {e}")
raise CacheError(f"Failed to get TTL for cache key '{key}'", cause=e) from e
async def clear(self) -> None:
"""Clear all entries from the cache.
This deletes all keys matching the key_prefix pattern.
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
pattern = f"{self.key_prefix}*"
# Scan and delete keys matching pattern
cursor = 0
deleted_total = 0
while True:
cursor, keys = await self._retry_operation(
redis.scan,
cursor=cursor,
match=pattern,
count=100
)
if keys:
deleted_count = await self._retry_operation(redis.delete, *keys)
deleted_total += deleted_count
if cursor == 0:
break
logger.info(f"Cache cleared: deleted {deleted_total} keys")
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to clear cache: {e}")
raise CacheError("Failed to clear cache", cause=e) from e
async def size(self) -> int:
"""Get the number of entries in the cache.
Returns:
Number of cached entries matching key_prefix
Raises:
CacheError: If cache operation fails
"""
try:
redis = await self._ensure_connection()
pattern = f"{self.key_prefix}*"
# Count keys matching pattern
cursor = 0
count = 0
while True:
cursor, keys = await self._retry_operation(
redis.scan,
cursor=cursor,
match=pattern,
count=100
)
count += len(keys)
if cursor == 0:
break
return count
except CacheError:
raise
except Exception as e:
logger.error(f"Failed to get cache size: {e}")
raise CacheError("Failed to get cache size", cause=e) from e
async def close(self) -> None:
"""Close Redis connection and cleanup resources.
This should be called when the cache is no longer needed.
"""
try:
if self._redis is not None:
await self._redis.close()
self._redis = None
if self._pool is not None:
await self._pool.disconnect()
self._pool = None
logger.info("Redis connection closed")
except Exception as e:
logger.warning(f"Error closing Redis connection: {e}")
def get_stats(self) -> dict[str, Any]:
"""Get cache statistics.
Returns:
Dictionary with cache configuration and connection info
"""
return {
"host": self.host,
"port": self.port,
"db": self.db,
"connection_pool_size": self.connection_pool_size,
"timeout_ms": self.timeout_ms,
"default_ttl": self.default_ttl,
"max_retries": self.max_retries,
"key_prefix": self.key_prefix,
"connected": self._redis is not None,
}

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Unit tests for cache store implementations."""

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Unit tests for cache store base classes and utilities."""
import asyncio
import pytest
from llama_stack.providers.utils.cache import CacheError, CircuitBreaker
class TestCacheError:
"""Test suite for CacheError exception."""
def test_init_with_message(self):
"""Test CacheError initialization with message."""
error = CacheError("Failed to connect to cache")
assert str(error) == "Failed to connect to cache"
assert error.cause is None
def test_init_with_cause(self):
"""Test CacheError initialization with underlying cause."""
cause = ValueError("Invalid value")
error = CacheError("Failed to set cache key", cause=cause)
assert str(error) == "Failed to set cache key"
assert error.cause == cause
class TestCircuitBreaker:
"""Test suite for CircuitBreaker."""
def test_init_default_params(self):
"""Test initialization with default parameters."""
breaker = CircuitBreaker()
assert breaker.failure_threshold == 10
assert breaker.recovery_timeout == 60
assert breaker.failure_count == 0
assert breaker.last_failure_time is None
assert breaker.state == "CLOSED"
def test_init_custom_params(self):
"""Test initialization with custom parameters."""
breaker = CircuitBreaker(failure_threshold=5, recovery_timeout=30)
assert breaker.failure_threshold == 5
assert breaker.recovery_timeout == 30
def test_is_closed_initial_state(self):
"""Test is_closed in initial state."""
breaker = CircuitBreaker()
assert breaker.is_closed() is True
assert breaker.get_state() == "CLOSED"
def test_record_success(self):
"""Test recording successful operations."""
breaker = CircuitBreaker()
# Record some failures
breaker.record_failure()
breaker.record_failure()
assert breaker.failure_count == 2
# Record success should reset
breaker.record_success()
assert breaker.failure_count == 0
assert breaker.last_failure_time is None
assert breaker.state == "CLOSED"
def test_record_failure_below_threshold(self):
"""Test recording failures below threshold."""
breaker = CircuitBreaker(failure_threshold=5)
# Record failures below threshold
for i in range(4):
breaker.record_failure()
assert breaker.is_closed() is True
assert breaker.state == "CLOSED"
assert breaker.failure_count == 4
def test_record_failure_reach_threshold(self):
"""Test circuit breaker opens when threshold reached."""
breaker = CircuitBreaker(failure_threshold=3)
# Record failures to reach threshold
for i in range(3):
breaker.record_failure()
# Should be open now
assert breaker.state == "OPEN"
assert breaker.is_closed() is False
def test_circuit_open_blocks_requests(self):
"""Test that open circuit blocks requests."""
breaker = CircuitBreaker(failure_threshold=3, recovery_timeout=10)
# Open the circuit
for i in range(3):
breaker.record_failure()
assert breaker.is_closed() is False
assert breaker.state == "OPEN"
async def test_recovery_timeout(self):
"""Test circuit breaker recovery after timeout."""
breaker = CircuitBreaker(failure_threshold=3, recovery_timeout=1)
# Open the circuit
for i in range(3):
breaker.record_failure()
assert breaker.state == "OPEN"
assert breaker.is_closed() is False
# Wait for recovery timeout
await asyncio.sleep(1.1)
# Should enter HALF_OPEN state
assert breaker.is_closed() is True
assert breaker.state == "HALF_OPEN"
async def test_half_open_success_closes_circuit(self):
"""Test successful request in HALF_OPEN closes circuit."""
breaker = CircuitBreaker(failure_threshold=3, recovery_timeout=1)
# Open the circuit
for i in range(3):
breaker.record_failure()
# Wait for recovery
await asyncio.sleep(1.1)
# Trigger state transition by calling is_closed()
assert breaker.is_closed() is True
assert breaker.state == "HALF_OPEN"
# Record success
breaker.record_success()
assert breaker.state == "CLOSED"
assert breaker.failure_count == 0
async def test_half_open_failure_reopens_circuit(self):
"""Test failed request in HALF_OPEN reopens circuit."""
breaker = CircuitBreaker(failure_threshold=3, recovery_timeout=1)
# Open the circuit
for i in range(3):
breaker.record_failure()
# Wait for recovery
await asyncio.sleep(1.1)
# Trigger state transition by calling is_closed()
assert breaker.is_closed() is True
assert breaker.state == "HALF_OPEN"
# Record failure
breaker.record_failure()
assert breaker.state == "OPEN"
def test_reset(self):
"""Test manual reset of circuit breaker."""
breaker = CircuitBreaker(failure_threshold=3)
# Open the circuit
for i in range(3):
breaker.record_failure()
assert breaker.state == "OPEN"
# Manual reset
breaker.reset()
assert breaker.state == "CLOSED"
assert breaker.failure_count == 0
assert breaker.last_failure_time is None
def test_get_state(self):
"""Test getting circuit breaker state."""
breaker = CircuitBreaker(failure_threshold=3)
# Initial state
assert breaker.get_state() == "CLOSED"
# After failures
breaker.record_failure()
assert breaker.get_state() == "CLOSED"
# Open state
for i in range(2):
breaker.record_failure()
assert breaker.get_state() == "OPEN"
async def test_multiple_recovery_attempts(self):
"""Test multiple recovery attempts."""
breaker = CircuitBreaker(failure_threshold=2, recovery_timeout=1)
# Open the circuit
breaker.record_failure()
breaker.record_failure()
assert breaker.state == "OPEN"
# First recovery attempt fails
await asyncio.sleep(1.1)
assert breaker.is_closed() is True # Trigger state check
assert breaker.state == "HALF_OPEN"
breaker.record_failure()
assert breaker.state == "OPEN"
# Second recovery attempt succeeds
await asyncio.sleep(1.1)
assert breaker.is_closed() is True # Trigger state check
assert breaker.state == "HALF_OPEN"
breaker.record_success()
assert breaker.state == "CLOSED"
def test_failure_count_tracking(self):
"""Test failure count tracking."""
breaker = CircuitBreaker(failure_threshold=5)
# Track failures
assert breaker.failure_count == 0
breaker.record_failure()
assert breaker.failure_count == 1
breaker.record_failure()
assert breaker.failure_count == 2
# Success resets count
breaker.record_success()
assert breaker.failure_count == 0
async def test_concurrent_operations(self):
"""Test circuit breaker with concurrent operations."""
breaker = CircuitBreaker(failure_threshold=10)
async def record_failures(count: int):
for _ in range(count):
breaker.record_failure()
await asyncio.sleep(0.01)
# Concurrent failures
await asyncio.gather(
record_failures(3),
record_failures(3),
record_failures(3),
)
assert breaker.failure_count == 9
assert breaker.state == "CLOSED"
# One more should open it
breaker.record_failure()
assert breaker.state == "OPEN"

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Unit tests for MemoryCacheStore implementation."""
import asyncio
import pytest
from llama_stack.providers.utils.cache import CacheError, MemoryCacheStore
class TestMemoryCacheStore:
"""Test suite for MemoryCacheStore."""
async def test_init_default_params(self):
"""Test initialization with default parameters."""
cache = MemoryCacheStore()
assert cache.max_entries == 1000
assert cache.max_memory_mb == 512
assert cache.default_ttl == 600
assert cache.eviction_policy == "lru"
async def test_init_custom_params(self):
"""Test initialization with custom parameters."""
cache = MemoryCacheStore(
max_entries=500,
max_memory_mb=256,
default_ttl=300,
eviction_policy="lfu",
)
assert cache.max_entries == 500
assert cache.max_memory_mb == 256
assert cache.default_ttl == 300
assert cache.eviction_policy == "lfu"
async def test_init_invalid_params(self):
"""Test initialization with invalid parameters."""
with pytest.raises(ValueError, match="max_entries must be positive"):
MemoryCacheStore(max_entries=0)
with pytest.raises(ValueError, match="default_ttl must be positive"):
MemoryCacheStore(default_ttl=0)
with pytest.raises(ValueError, match="max_memory_mb must be positive"):
MemoryCacheStore(max_memory_mb=0)
with pytest.raises(ValueError, match="Unknown eviction policy"):
MemoryCacheStore(eviction_policy="invalid") # type: ignore
async def test_set_and_get(self):
"""Test basic set and get operations."""
cache = MemoryCacheStore()
# Set value
await cache.set("key1", "value1")
# Get value
value = await cache.get("key1")
assert value == "value1"
async def test_get_nonexistent_key(self):
"""Test getting a non-existent key."""
cache = MemoryCacheStore()
value = await cache.get("nonexistent")
assert value is None
async def test_set_with_custom_ttl(self):
"""Test setting value with custom TTL."""
cache = MemoryCacheStore(default_ttl=10)
# Set with custom TTL
await cache.set("key1", "value1", ttl=1)
# Value should exist initially
value = await cache.get("key1")
assert value == "value1"
# Wait for expiration
await asyncio.sleep(1.1)
# Value should be expired
value = await cache.get("key1")
assert value is None
async def test_set_complex_value(self):
"""Test storing complex data types."""
cache = MemoryCacheStore()
# Test dictionary
data = {"nested": {"key": "value"}, "list": [1, 2, 3]}
await cache.set("complex", data)
value = await cache.get("complex")
assert value == data
# Test list
list_data = [1, "two", {"three": 3}]
await cache.set("list", list_data)
value = await cache.get("list")
assert value == list_data
async def test_delete(self):
"""Test deleting a key."""
cache = MemoryCacheStore()
# Set and delete
await cache.set("key1", "value1")
deleted = await cache.delete("key1")
assert deleted is True
# Verify deleted
value = await cache.get("key1")
assert value is None
# Delete non-existent key
deleted = await cache.delete("nonexistent")
assert deleted is False
async def test_exists(self):
"""Test checking key existence."""
cache = MemoryCacheStore()
# Non-existent key
exists = await cache.exists("key1")
assert exists is False
# Existing key
await cache.set("key1", "value1")
exists = await cache.exists("key1")
assert exists is True
# Expired key
await cache.set("key2", "value2", ttl=1)
await asyncio.sleep(1.1)
exists = await cache.exists("key2")
assert exists is False
async def test_ttl(self):
"""Test getting remaining TTL."""
cache = MemoryCacheStore()
# Non-existent key
ttl = await cache.ttl("nonexistent")
assert ttl is None
# Key with TTL
await cache.set("key1", "value1", ttl=10)
ttl = await cache.ttl("key1")
assert ttl is not None
assert 8 <= ttl <= 10 # Allow some tolerance
# Expired key
await cache.set("key2", "value2", ttl=1)
await asyncio.sleep(1.1)
ttl = await cache.ttl("key2")
assert ttl is None
async def test_clear(self):
"""Test clearing all entries."""
cache = MemoryCacheStore()
# Add multiple entries
await cache.set("key1", "value1")
await cache.set("key2", "value2")
await cache.set("key3", "value3")
# Clear
await cache.clear()
# Verify all cleared
assert await cache.get("key1") is None
assert await cache.get("key2") is None
assert await cache.get("key3") is None
async def test_size(self):
"""Test getting cache size."""
cache = MemoryCacheStore()
# Empty cache
size = await cache.size()
assert size == 0
# Add entries
await cache.set("key1", "value1")
await cache.set("key2", "value2")
size = await cache.size()
assert size == 2
# Delete entry
await cache.delete("key1")
size = await cache.size()
assert size == 1
# Clear cache
await cache.clear()
size = await cache.size()
assert size == 0
async def test_lru_eviction(self):
"""Test LRU eviction policy."""
cache = MemoryCacheStore(max_entries=3, eviction_policy="lru")
# Fill cache
await cache.set("key1", "value1")
await cache.set("key2", "value2")
await cache.set("key3", "value3")
# Access key1 to make it recently used
await cache.get("key1")
# Add new entry, should evict key2 (least recently used)
await cache.set("key4", "value4")
# key2 should be evicted
assert await cache.get("key1") == "value1"
assert await cache.get("key2") is None
assert await cache.get("key3") == "value3"
assert await cache.get("key4") == "value4"
async def test_lfu_eviction(self):
"""Test LFU eviction policy."""
cache = MemoryCacheStore(max_entries=3, eviction_policy="lfu")
# Fill cache
await cache.set("key1", "value1")
await cache.set("key2", "value2")
await cache.set("key3", "value3")
# Access key1 multiple times
await cache.get("key1")
await cache.get("key1")
await cache.get("key1")
# Access key2 twice
await cache.get("key2")
await cache.get("key2")
# key3 accessed once (least frequently)
# Add new entry, should evict key3 (least frequently used)
await cache.set("key4", "value4")
# key3 should be evicted
assert await cache.get("key1") == "value1"
assert await cache.get("key2") == "value2"
assert await cache.get("key3") is None
assert await cache.get("key4") == "value4"
async def test_concurrent_access(self):
"""Test concurrent access to cache."""
cache = MemoryCacheStore()
async def set_value(key: str, value: str):
await cache.set(key, value)
async def get_value(key: str):
return await cache.get(key)
# Concurrent sets
await asyncio.gather(
set_value("key1", "value1"),
set_value("key2", "value2"),
set_value("key3", "value3"),
)
# Concurrent gets
results = await asyncio.gather(
get_value("key1"),
get_value("key2"),
get_value("key3"),
)
assert results == ["value1", "value2", "value3"]
async def test_update_existing_key(self):
"""Test updating an existing key."""
cache = MemoryCacheStore()
# Set initial value
await cache.set("key1", "value1")
assert await cache.get("key1") == "value1"
# Update value
await cache.set("key1", "value2")
assert await cache.get("key1") == "value2"
async def test_get_stats(self):
"""Test getting cache statistics."""
cache = MemoryCacheStore(
max_entries=100,
max_memory_mb=128,
default_ttl=300,
eviction_policy="lru",
)
await cache.set("key1", "value1")
await cache.set("key2", "value2")
stats = cache.get_stats()
assert stats["size"] == 2
assert stats["max_entries"] == 100
assert stats["max_memory_mb"] == 128
assert stats["default_ttl"] == 300
assert stats["eviction_policy"] == "lru"
async def test_ttl_expiration_cleanup(self):
"""Test that expired entries are cleaned up properly."""
cache = MemoryCacheStore()
# Set entry with short TTL
await cache.set("key1", "value1", ttl=1)
await cache.set("key2", "value2", ttl=10)
# Initially both exist
assert await cache.size() == 2
# Wait for key1 to expire
await asyncio.sleep(1.1)
# Accessing expired key should clean it up
assert await cache.get("key1") is None
# Size should reflect cleanup
size = await cache.size()
assert size == 1
# key2 should still exist
assert await cache.get("key2") == "value2"

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
"""Unit tests for RedisCacheStore implementation."""
import json
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from llama_stack.providers.utils.cache import CacheError, RedisCacheStore
class TestRedisCacheStore:
"""Test suite for RedisCacheStore."""
async def test_init_default_params(self):
"""Test initialization with default parameters."""
cache = RedisCacheStore()
assert cache.host == "localhost"
assert cache.port == 6379
assert cache.db == 0
assert cache.password is None
assert cache.connection_pool_size == 10
assert cache.timeout_ms == 100
assert cache.default_ttl == 600
assert cache.max_retries == 3
assert cache.key_prefix == "llama_stack:"
async def test_init_custom_params(self):
"""Test initialization with custom parameters."""
cache = RedisCacheStore(
host="redis.example.com",
port=6380,
db=1,
password="secret",
connection_pool_size=20,
timeout_ms=200,
default_ttl=300,
max_retries=5,
key_prefix="test:",
)
assert cache.host == "redis.example.com"
assert cache.port == 6380
assert cache.db == 1
assert cache.password == "secret"
assert cache.connection_pool_size == 20
assert cache.timeout_ms == 200
assert cache.default_ttl == 300
assert cache.max_retries == 5
assert cache.key_prefix == "test:"
async def test_init_invalid_params(self):
"""Test initialization with invalid parameters."""
with pytest.raises(ValueError, match="connection_pool_size must be positive"):
RedisCacheStore(connection_pool_size=0)
with pytest.raises(ValueError, match="timeout_ms must be positive"):
RedisCacheStore(timeout_ms=0)
with pytest.raises(ValueError, match="default_ttl must be positive"):
RedisCacheStore(default_ttl=0)
with pytest.raises(ValueError, match="max_retries must be non-negative"):
RedisCacheStore(max_retries=-1)
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_ensure_connection(self, mock_redis_class, mock_pool_class):
"""Test connection establishment."""
# Setup mocks
mock_pool = MagicMock()
mock_pool_class.return_value = mock_pool
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Ensure connection
redis = await cache._ensure_connection()
# Verify connection was established
assert redis == mock_redis
mock_pool_class.assert_called_once()
mock_redis.ping.assert_called_once()
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_connection_failure(self, mock_redis_class, mock_pool_class):
"""Test connection failure handling."""
from redis.exceptions import ConnectionError as RedisConnectionError
# Setup mocks to fail
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock(side_effect=RedisConnectionError("Connection refused"))
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Connection should fail
with pytest.raises(CacheError, match="Failed to connect to Redis"):
await cache._ensure_connection()
def test_make_key(self):
"""Test key prefixing."""
cache = RedisCacheStore(key_prefix="test:")
assert cache._make_key("mykey") == "test:mykey"
assert cache._make_key("another") == "test:another"
def test_serialize_deserialize(self):
"""Test value serialization."""
cache = RedisCacheStore()
# Simple value
assert cache._serialize("hello") == '"hello"'
assert cache._deserialize('"hello"') == "hello"
# Dictionary
data = {"key": "value", "number": 42}
serialized = cache._serialize(data)
assert cache._deserialize(serialized) == data
# List
list_data = [1, 2, "three"]
serialized = cache._serialize(list_data)
assert cache._deserialize(serialized) == list_data
def test_serialize_error(self):
"""Test serialization error handling."""
cache = RedisCacheStore()
# Object that can't be serialized
class NonSerializable:
pass
with pytest.raises(ValueError, match="Value is not JSON-serializable"):
cache._serialize(NonSerializable())
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_set_and_get(self, mock_redis_class, mock_pool_class):
"""Test set and get operations."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.get = AsyncMock(return_value=json.dumps("value1"))
mock_redis.setex = AsyncMock()
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Set value
await cache.set("key1", "value1")
mock_redis.setex.assert_called_once()
# Get value
value = await cache.get("key1")
assert value == "value1"
mock_redis.get.assert_called_once()
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_get_nonexistent_key(self, mock_redis_class, mock_pool_class):
"""Test getting a non-existent key."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.get = AsyncMock(return_value=None)
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Get non-existent key
value = await cache.get("nonexistent")
assert value is None
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_set_with_custom_ttl(self, mock_redis_class, mock_pool_class):
"""Test setting value with custom TTL."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.setex = AsyncMock()
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore(default_ttl=600)
# Set with custom TTL
await cache.set("key1", "value1", ttl=300)
# Verify setex was called with custom TTL
call_args = mock_redis.setex.call_args
assert call_args[0][1] == 300 # TTL argument
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_delete(self, mock_redis_class, mock_pool_class):
"""Test deleting a key."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.delete = AsyncMock(return_value=1) # 1 key deleted
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Delete key
deleted = await cache.delete("key1")
assert deleted is True
# Delete non-existent key
mock_redis.delete = AsyncMock(return_value=0)
deleted = await cache.delete("nonexistent")
assert deleted is False
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_exists(self, mock_redis_class, mock_pool_class):
"""Test checking key existence."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.exists = AsyncMock(return_value=1) # Exists
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Check existing key
exists = await cache.exists("key1")
assert exists is True
# Check non-existent key
mock_redis.exists = AsyncMock(return_value=0)
exists = await cache.exists("nonexistent")
assert exists is False
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_ttl(self, mock_redis_class, mock_pool_class):
"""Test getting remaining TTL."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.ttl = AsyncMock(return_value=300)
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Get TTL
ttl = await cache.ttl("key1")
assert ttl == 300
# Key doesn't exist
mock_redis.ttl = AsyncMock(return_value=-2)
ttl = await cache.ttl("nonexistent")
assert ttl is None
# Key has no TTL
mock_redis.ttl = AsyncMock(return_value=-1)
ttl = await cache.ttl("no_ttl_key")
assert ttl is None
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_clear(self, mock_redis_class, mock_pool_class):
"""Test clearing all entries."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.scan = AsyncMock(
side_effect=[
(10, ["llama_stack:key1", "llama_stack:key2"]),
(0, ["llama_stack:key3"]), # cursor 0 indicates end
]
)
mock_redis.delete = AsyncMock(return_value=3)
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Clear cache
await cache.clear()
# Verify scan and delete were called
assert mock_redis.scan.call_count == 2
mock_redis.delete.assert_called()
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_size(self, mock_redis_class, mock_pool_class):
"""Test getting cache size."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.scan = AsyncMock(
side_effect=[
(10, ["llama_stack:key1", "llama_stack:key2"]),
(0, ["llama_stack:key3"]),
]
)
mock_redis_class.return_value = mock_redis
# Create cache
cache = RedisCacheStore()
# Get size
size = await cache.size()
assert size == 3
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_retry_logic(self, mock_redis_class, mock_pool_class):
"""Test retry logic for transient failures."""
from redis.exceptions import TimeoutError as RedisTimeoutError
# Setup mocks - fail twice, then succeed
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.get = AsyncMock(
side_effect=[
RedisTimeoutError("Timeout"),
RedisTimeoutError("Timeout"),
json.dumps("success"),
]
)
mock_redis_class.return_value = mock_redis
# Create cache with retries
cache = RedisCacheStore(max_retries=3)
# Should succeed after retries
value = await cache.get("key1")
assert value == "success"
assert mock_redis.get.call_count == 3
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_retry_exhaustion(self, mock_redis_class, mock_pool_class):
"""Test behavior when all retries are exhausted."""
from redis.exceptions import TimeoutError as RedisTimeoutError
# Setup mocks - always fail
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.get = AsyncMock(side_effect=RedisTimeoutError("Timeout"))
mock_redis_class.return_value = mock_redis
# Create cache with limited retries
cache = RedisCacheStore(max_retries=2)
# Should raise CacheError after exhausting retries
with pytest.raises(CacheError, match="failed after .* attempts"):
await cache.get("key1")
# Should have tried 3 times (initial + 2 retries)
assert mock_redis.get.call_count == 3
@patch("llama_stack.providers.utils.cache.redis.ConnectionPool")
@patch("llama_stack.providers.utils.cache.redis.Redis")
async def test_close(self, mock_redis_class, mock_pool_class):
"""Test closing Redis connection."""
# Setup mocks
mock_redis = AsyncMock()
mock_redis.ping = AsyncMock()
mock_redis.close = AsyncMock()
mock_redis_class.return_value = mock_redis
mock_pool = AsyncMock()
mock_pool.disconnect = AsyncMock()
mock_pool_class.return_value = mock_pool
# Create cache and establish connection
cache = RedisCacheStore()
await cache._ensure_connection()
# Close connection
await cache.close()
# Verify cleanup
mock_redis.close.assert_called_once()
mock_pool.disconnect.assert_called_once()
def test_get_stats(self):
"""Test getting cache statistics."""
cache = RedisCacheStore(
host="redis.example.com",
port=6380,
db=1,
connection_pool_size=20,
timeout_ms=200,
default_ttl=300,
max_retries=5,
key_prefix="test:",
)
stats = cache.get_stats()
assert stats["host"] == "redis.example.com"
assert stats["port"] == 6380
assert stats["db"] == 1
assert stats["connection_pool_size"] == 20
assert stats["timeout_ms"] == 200
assert stats["default_ttl"] == 300
assert stats["max_retries"] == 5
assert stats["key_prefix"] == "test:"
assert stats["connected"] is False # Not connected yet

17
uv.lock generated
View file

@ -1,5 +1,5 @@
version = 1 version = 1
revision = 2 revision = 3
requires-python = ">=3.12" requires-python = ">=3.12"
resolution-markers = [ resolution-markers = [
"(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", "(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
@ -1996,6 +1996,7 @@ dependencies = [
{ name = "aiohttp" }, { name = "aiohttp" },
{ name = "aiosqlite" }, { name = "aiosqlite" },
{ name = "asyncpg" }, { name = "asyncpg" },
{ name = "cachetools" },
{ name = "fastapi" }, { name = "fastapi" },
{ name = "fire" }, { name = "fire" },
{ name = "h11" }, { name = "h11" },
@ -2013,6 +2014,7 @@ dependencies = [
{ name = "python-dotenv" }, { name = "python-dotenv" },
{ name = "python-multipart" }, { name = "python-multipart" },
{ name = "pyyaml" }, { name = "pyyaml" },
{ name = "redis" },
{ name = "rich" }, { name = "rich" },
{ name = "sqlalchemy", extra = ["asyncio"] }, { name = "sqlalchemy", extra = ["asyncio"] },
{ name = "starlette" }, { name = "starlette" },
@ -2147,6 +2149,7 @@ requires-dist = [
{ name = "aiohttp" }, { name = "aiohttp" },
{ name = "aiosqlite", specifier = ">=0.21.0" }, { name = "aiosqlite", specifier = ">=0.21.0" },
{ name = "asyncpg" }, { name = "asyncpg" },
{ name = "cachetools", specifier = ">=5.5.0" },
{ name = "fastapi", specifier = ">=0.115.0,<1.0" }, { name = "fastapi", specifier = ">=0.115.0,<1.0" },
{ name = "fire" }, { name = "fire" },
{ name = "h11", specifier = ">=0.16.0" }, { name = "h11", specifier = ">=0.16.0" },
@ -2166,6 +2169,7 @@ requires-dist = [
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{ name = "pyyaml", specifier = ">=6.0" }, { name = "pyyaml", specifier = ">=6.0" },
{ name = "pyyaml", specifier = ">=6.0.2" }, { name = "pyyaml", specifier = ">=6.0.2" },
{ name = "redis", specifier = ">=5.2.0" },
{ name = "rich" }, { name = "rich" },
{ name = "sqlalchemy", extras = ["asyncio"], specifier = ">=2.0.41" }, { name = "sqlalchemy", extras = ["asyncio"], specifier = ">=2.0.41" },
{ name = "starlette" }, { name = "starlette" },
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version = "0.36.2" version = "0.36.2"
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