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backend/app/config.py

@@ -1,54 +1,54 @@
 """
-配置管理
-统一从项目根目录的 .env 文件加载配置
+Configuration Management
+Loads configuration from .env file in project root
 """
 
 import os
 from dotenv import load_dotenv
 
-# 加载项目根目录的 .env 文件
-# 路径: MiroFish/.env (相对于 backend/app/config.py)
+# Load .env file from project root
+# Path: MiroFish/.env (relative to backend/app/config.py)
 project_root_env = os.path.join(os.path.dirname(__file__), '../../.env')
 
 if os.path.exists(project_root_env):
     load_dotenv(project_root_env, override=True)
 else:
-    # 如果根目录没有 .env，尝试加载环境变量（用于生产环境）
+    # If no .env in root, load environment variables (for production)
     load_dotenv(override=True)
 
 
 class Config:
-    """Flask配置类"""
-    
-    # Flask配置
+    """Flask configuration class"""
+
+    # Flask configuration
     SECRET_KEY = os.environ.get('SECRET_KEY', 'mirofish-secret-key')
     DEBUG = os.environ.get('FLASK_DEBUG', 'True').lower() == 'true'
-    
-    # JSON配置 - 禁用ASCII转义，让中文直接显示（而不是 \uXXXX 格式）
+
+    # JSON configuration - disable ASCII escape to display Chinese directly (instead of \uXXXX format)
     JSON_AS_ASCII = False
-    
-    # LLM配置（统一使用OpenAI格式）
+
+    # LLM configuration (unified OpenAI SDK format)
     LLM_API_KEY = os.environ.get('LLM_API_KEY')
     LLM_BASE_URL = os.environ.get('LLM_BASE_URL', 'https://api.openai.com/v1')
     LLM_MODEL_NAME = os.environ.get('LLM_MODEL_NAME', 'gpt-4o-mini')
-    
-    # Zep配置
+
+    # Zep configuration
     ZEP_API_KEY = os.environ.get('ZEP_API_KEY')
-    
-    # 文件上传配置
+
+    # File upload configuration
     MAX_CONTENT_LENGTH = 50 * 1024 * 1024  # 50MB
     UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), '../uploads')
     ALLOWED_EXTENSIONS = {'pdf', 'md', 'txt', 'markdown'}
-    
-    # 文本处理配置
-    DEFAULT_CHUNK_SIZE = 500  # 默认切块大小
-    DEFAULT_CHUNK_OVERLAP = 50  # 默认重叠大小
-    
-    # OASIS模拟配置
+
+    # Text processing configuration
+    DEFAULT_CHUNK_SIZE = 500  # Default chunk size
+    DEFAULT_CHUNK_OVERLAP = 50  # Default overlap size
+
+    # OASIS simulation configuration
     OASIS_DEFAULT_MAX_ROUNDS = int(os.environ.get('OASIS_DEFAULT_MAX_ROUNDS', '10'))
     OASIS_SIMULATION_DATA_DIR = os.path.join(os.path.dirname(__file__), '../uploads/simulations')
-    
-    # OASIS平台可用动作配置
+
+    # OASIS platform available actions configuration
     OASIS_TWITTER_ACTIONS = [
         'CREATE_POST', 'LIKE_POST', 'REPOST', 'FOLLOW', 'DO_NOTHING', 'QUOTE_POST'
     ]
@@ -57,19 +57,18 @@ class Config:
         'LIKE_COMMENT', 'DISLIKE_COMMENT', 'SEARCH_POSTS', 'SEARCH_USER',
         'TREND', 'REFRESH', 'DO_NOTHING', 'FOLLOW', 'MUTE'
     ]
-    
-    # Report Agent配置
+
+    # Report Agent configuration
     REPORT_AGENT_MAX_TOOL_CALLS = int(os.environ.get('REPORT_AGENT_MAX_TOOL_CALLS', '5'))
     REPORT_AGENT_MAX_REFLECTION_ROUNDS = int(os.environ.get('REPORT_AGENT_MAX_REFLECTION_ROUNDS', '2'))
     REPORT_AGENT_TEMPERATURE = float(os.environ.get('REPORT_AGENT_TEMPERATURE', '0.5'))
-    
+
     @classmethod
     def validate(cls):
-        """验证必要配置"""
+        """Validate required configuration"""
         errors = []
         if not cls.LLM_API_KEY:
-            errors.append("LLM_API_KEY 未配置")
+            errors.append("LLM_API_KEY not configured")
         if not cls.ZEP_API_KEY:
-            errors.append("ZEP_API_KEY 未配置")
-        return errors
-
+            errors.append("ZEP_API_KEY not configured")
+        return errors