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fawney19
2025-12-10 20:52:44 +08:00
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src/services/cache/provider_cache.py vendored Normal file
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"""
Provider 配置缓存服务 - 减少 Provider/Endpoint/APIKey 查询
"""
from typing import Any, Dict, List, Optional
from sqlalchemy.orm import Session
from src.config.constants import CacheTTL
from src.core.cache_service import CacheKeys, CacheService
from src.core.logger import logger
from src.models.database import Provider, ProviderAPIKey, ProviderEndpoint
class ProviderCacheService:
"""Provider 配置缓存服务"""
# 缓存 TTL- 使用统一常量
CACHE_TTL = CacheTTL.PROVIDER
@staticmethod
async def get_provider_by_id(db: Session, provider_id: str) -> Optional[Provider]:
"""
获取 Provider带缓存
Args:
db: 数据库会话
provider_id: Provider ID
Returns:
Provider 对象或 None
"""
cache_key = CacheKeys.provider_by_id(provider_id)
# 1. 尝试从缓存获取
cached_data = await CacheService.get(cache_key)
if cached_data:
logger.debug(f"Provider 缓存命中: {provider_id}")
return ProviderCacheService._dict_to_provider(cached_data)
# 2. 缓存未命中,查询数据库
provider = db.query(Provider).filter(Provider.id == provider_id).first()
# 3. 写入缓存
if provider:
provider_dict = ProviderCacheService._provider_to_dict(provider)
await CacheService.set(
cache_key, provider_dict, ttl_seconds=ProviderCacheService.CACHE_TTL
)
logger.debug(f"Provider 已缓存: {provider_id}")
return provider
@staticmethod
async def get_endpoint_by_id(db: Session, endpoint_id: str) -> Optional[ProviderEndpoint]:
"""
获取 Endpoint带缓存
Args:
db: 数据库会话
endpoint_id: Endpoint ID
Returns:
ProviderEndpoint 对象或 None
"""
cache_key = CacheKeys.endpoint_by_id(endpoint_id)
# 1. 尝试从缓存获取
cached_data = await CacheService.get(cache_key)
if cached_data:
logger.debug(f"Endpoint 缓存命中: {endpoint_id}")
return ProviderCacheService._dict_to_endpoint(cached_data)
# 2. 缓存未命中,查询数据库
endpoint = db.query(ProviderEndpoint).filter(ProviderEndpoint.id == endpoint_id).first()
# 3. 写入缓存
if endpoint:
endpoint_dict = ProviderCacheService._endpoint_to_dict(endpoint)
await CacheService.set(
cache_key, endpoint_dict, ttl_seconds=ProviderCacheService.CACHE_TTL
)
logger.debug(f"Endpoint 已缓存: {endpoint_id}")
return endpoint
@staticmethod
async def get_api_key_by_id(db: Session, api_key_id: str) -> Optional[ProviderAPIKey]:
"""
获取 API Key带缓存
Args:
db: 数据库会话
api_key_id: API Key ID
Returns:
ProviderAPIKey 对象或 None
"""
cache_key = CacheKeys.api_key_by_id(api_key_id)
# 1. 尝试从缓存获取
cached_data = await CacheService.get(cache_key)
if cached_data:
logger.debug(f"API Key 缓存命中: {api_key_id}")
return ProviderCacheService._dict_to_api_key(cached_data)
# 2. 缓存未命中,查询数据库
api_key = db.query(ProviderAPIKey).filter(ProviderAPIKey.id == api_key_id).first()
# 3. 写入缓存
if api_key:
api_key_dict = ProviderCacheService._api_key_to_dict(api_key)
await CacheService.set(
cache_key, api_key_dict, ttl_seconds=ProviderCacheService.CACHE_TTL
)
logger.debug(f"API Key 已缓存: {api_key_id}")
return api_key
@staticmethod
async def invalidate_provider_cache(provider_id: str):
"""
清除 Provider 缓存
Args:
provider_id: Provider ID
"""
await CacheService.delete(CacheKeys.provider_by_id(provider_id))
logger.debug(f"Provider 缓存已清除: {provider_id}")
@staticmethod
async def invalidate_endpoint_cache(endpoint_id: str):
"""
清除 Endpoint 缓存
Args:
endpoint_id: Endpoint ID
"""
await CacheService.delete(CacheKeys.endpoint_by_id(endpoint_id))
logger.debug(f"Endpoint 缓存已清除: {endpoint_id}")
@staticmethod
async def invalidate_api_key_cache(api_key_id: str):
"""
清除 API Key 缓存
Args:
api_key_id: API Key ID
"""
await CacheService.delete(CacheKeys.api_key_by_id(api_key_id))
logger.debug(f"API Key 缓存已清除: {api_key_id}")
@staticmethod
def _provider_to_dict(provider: Provider) -> dict:
"""将 Provider 对象转换为字典(用于缓存)"""
return {
"id": provider.id,
"name": provider.name,
"api_format": provider.api_format,
"base_url": provider.base_url,
"is_active": provider.is_active,
"priority": provider.priority,
"rpm_limit": provider.rpm_limit,
"rpm_used": provider.rpm_used,
"rpm_reset_at": provider.rpm_reset_at.isoformat() if provider.rpm_reset_at else None,
"config": provider.config,
"description": provider.description,
}
@staticmethod
def _dict_to_provider(provider_dict: dict) -> Provider:
"""从字典重建 Provider 对象(分离的对象,不在 Session 中)"""
from datetime import datetime
provider = Provider(
id=provider_dict["id"],
name=provider_dict["name"],
api_format=provider_dict["api_format"],
base_url=provider_dict.get("base_url"),
is_active=provider_dict["is_active"],
priority=provider_dict.get("priority", 0),
rpm_limit=provider_dict.get("rpm_limit"),
rpm_used=provider_dict.get("rpm_used", 0),
config=provider_dict.get("config"),
description=provider_dict.get("description"),
)
if provider_dict.get("rpm_reset_at"):
provider.rpm_reset_at = datetime.fromisoformat(provider_dict["rpm_reset_at"])
return provider
@staticmethod
def _endpoint_to_dict(endpoint: ProviderEndpoint) -> dict:
"""将 Endpoint 对象转换为字典"""
return {
"id": endpoint.id,
"provider_id": endpoint.provider_id,
"name": endpoint.name,
"base_url": endpoint.base_url,
"is_active": endpoint.is_active,
"priority": endpoint.priority,
"weight": endpoint.weight,
"custom_path": endpoint.custom_path,
"config": endpoint.config,
}
@staticmethod
def _dict_to_endpoint(endpoint_dict: dict) -> ProviderEndpoint:
"""从字典重建 Endpoint 对象"""
endpoint = ProviderEndpoint(
id=endpoint_dict["id"],
provider_id=endpoint_dict["provider_id"],
name=endpoint_dict["name"],
base_url=endpoint_dict["base_url"],
is_active=endpoint_dict["is_active"],
priority=endpoint_dict.get("priority", 0),
weight=endpoint_dict.get("weight", 1.0),
custom_path=endpoint_dict.get("custom_path"),
config=endpoint_dict.get("config"),
)
return endpoint
@staticmethod
def _api_key_to_dict(api_key: ProviderAPIKey) -> dict:
"""将 API Key 对象转换为字典"""
return {
"id": api_key.id,
"endpoint_id": api_key.endpoint_id,
"key_value": api_key.key_value,
"is_active": api_key.is_active,
"max_rpm": api_key.max_rpm,
"current_rpm": api_key.current_rpm,
"health_score": api_key.health_score,
"circuit_breaker_state": api_key.circuit_breaker_state,
"adaptive_concurrency_limit": api_key.adaptive_concurrency_limit,
}
@staticmethod
def _dict_to_api_key(api_key_dict: dict) -> ProviderAPIKey:
"""从字典重建 API Key 对象"""
api_key = ProviderAPIKey(
id=api_key_dict["id"],
endpoint_id=api_key_dict["endpoint_id"],
key_value=api_key_dict["key_value"],
is_active=api_key_dict["is_active"],
max_rpm=api_key_dict.get("max_rpm"),
current_rpm=api_key_dict.get("current_rpm", 0),
health_score=api_key_dict.get("health_score", 1.0),
circuit_breaker_state=api_key_dict.get("circuit_breaker_state"),
adaptive_concurrency_limit=api_key_dict.get("adaptive_concurrency_limit"),
)
return api_key