feat: 新增缓存配置

Author: insistence

dash-fastapi-frontend/.env.dev

@@ -19,4 +19,14 @@ APP_PORT = 8088
 APP_DEBUG = true
 # flask-compress压缩配置
 APP_COMPRESS_ALGORITHM = 'br'
-APP_COMPRESS_BR_LEVEL = 11
+APP_COMPRESS_BR_LEVEL = 11
+
+# -------- 缓存配置 --------
+# LRU缓存的限制数量，0表示无限制
+LRU_CACHE_MAXSIZE = 10000
+# LRU缓存不重新分配的容量
+LRU_CACHE_CAPACITY = 10000
+# TTL缓存的限制数量，0表示无限制
+TTL_CACHE_MAXSIZE = 0
+# TTL缓存过期时间（秒）
+TTL_CACHE_EXPIRE = 600

dash-fastapi-frontend/.env.prod

@@ -19,4 +19,14 @@ APP_PORT = 8088
 APP_DEBUG = false
 # flask-compress压缩配置
 APP_COMPRESS_ALGORITHM = 'br'
-APP_COMPRESS_BR_LEVEL = 11
+APP_COMPRESS_BR_LEVEL = 11
+
+# -------- 缓存配置 --------
+# LRU缓存的限制数量，0表示无限制
+LRU_CACHE_MAXSIZE = 10000
+# LRU缓存不重新分配的容量
+LRU_CACHE_CAPACITY = 10000
+# TTL缓存的限制数量，0表示无限制
+TTL_CACHE_MAXSIZE = 0
+# TTL缓存过期时间（秒）
+TTL_CACHE_EXPIRE = 600

dash-fastapi-frontend/config/env.py

@@ -23,6 +23,17 @@ class AppSettings(BaseSettings):
     app_compress_br_level: int = 11
 
 
+class CacheSettings(BaseSettings):
+    """
+    缓存配置
+    """
+
+    lru_cache_maxsize: int = 10000
+    lru_cache_capacity: int = 10000
+    ttl_cache_maxsize: int = 0
+    ttl_cache_expire: int = 600
+
+
 class GetConfig:
     """
     获取配置
@@ -39,6 +50,14 @@ def get_app_config(self):
         # 实例化应用配置模型
         return AppSettings()
 
+    @lru_cache()
+    def get_cache_config(self):
+        """
+        获取缓存配置
+        """
+        # 实例化缓存配置模型
+        return CacheSettings()
+
     @staticmethod
     def parse_cli_args():
         """
@@ -66,6 +85,8 @@ def parse_cli_args():
 get_config = GetConfig()
 # 应用配置
 AppConfig = get_config.get_app_config()
+# 缓存配置
+CacheConfig = get_config.get_cache_config()
 
 
 class ApiConfig:

dash-fastapi-frontend/utils/cache_util.py

@@ -1,10 +1,17 @@
 from cachebox import LRUCache, TTLCache
 from flask import session
 from typing import Any, Dict
+from config.env import CacheConfig
 
 
-cache_manager = LRUCache(maxsize=10000, iterable=None, capacity=10000)
-ttl_manager = TTLCache(maxsize=0, ttl=600)
+cache_manager = LRUCache(
+    maxsize=CacheConfig.lru_cache_maxsize,
+    iterable=None,
+    capacity=CacheConfig.lru_cache_capacity,
+)
+ttl_manager = TTLCache(
+    maxsize=CacheConfig.ttl_cache_maxsize, ttl=CacheConfig.ttl_cache_expire
+)
 
 
 class CacheManager: