import json import os from pathlib import Path from typing import Annotated, Any, Dict, Optional from dotenv import load_dotenv from pydantic import Field, TypeAdapter load_dotenv() class Settings: # ======================================================================== # Deployment Mode Configuration # ======================================================================== # community: 社区版(开源,功能受限) # cloud: SaaS 云服务版(全功能,按量计费) # enterprise: 企业私有化版(License 控制) DEPLOYMENT_MODE: str = os.getenv("DEPLOYMENT_MODE", "community") # License 配置(企业版) LICENSE_FILE: str = os.getenv("LICENSE_FILE", "/etc/app/license.json") LICENSE_SERVER_URL: str = os.getenv("LICENSE_SERVER_URL", "https://license.yourcompany.com") # 计费服务配置(SaaS 版) BILLING_SERVICE_URL: str = os.getenv("BILLING_SERVICE_URL", "") # 基础 URL(用于 SSO 回调等) BASE_URL: str = os.getenv("BASE_URL", "http://localhost:8000") FRONTEND_URL: str = os.getenv("FRONTEND_URL", "http://localhost:3000") ENABLE_SINGLE_WORKSPACE: bool = os.getenv("ENABLE_SINGLE_WORKSPACE", "true").lower() == "true" # API Keys Configuration OPENAI_API_KEY: str = os.getenv("OPENAI_API_KEY", "") DASHSCOPE_API_KEY: str = os.getenv("DASHSCOPE_API_KEY", "") # Neo4j Configuration (记忆系统数据库) NEO4J_URI: str = os.getenv("NEO4J_URI", "bolt://1.94.111.67:7687") NEO4J_USERNAME: str = os.getenv("NEO4J_USERNAME", "neo4j") NEO4J_PASSWORD: str = os.getenv("NEO4J_PASSWORD", "") # Database configuration (Postgres) DB_HOST: str = os.getenv("DB_HOST", "127.0.0.1") DB_PORT: int = int(os.getenv("DB_PORT", "5432")) DB_USER: str = os.getenv("DB_USER", "postgres") DB_PASSWORD: str = os.getenv("DB_PASSWORD", "password") DB_NAME: str = os.getenv("DB_NAME", "redbear-mem") DB_POOL_SIZE: int = int(os.getenv("DB_POOL_SIZE", "50")) DB_MAX_OVERFLOW: int = int(os.getenv("DB_MAX_OVERFLOW", "20")) DB_POOL_RECYCLE: int = int(os.getenv("DB_POOL_RECYCLE", "1800")) DB_POOL_TIMEOUT: int = int(os.getenv("DB_POOL_TIMEOUT", "30")) DB_POOL_PRE_PING: bool = os.getenv("DB_POOL_PRE_PING", "true").lower() == "true" DB_AUTO_UPGRADE = os.getenv("DB_AUTO_UPGRADE", "false").lower() == "true" # Redis configuration REDIS_HOST: str = os.getenv("REDIS_HOST", "127.0.0.1") REDIS_PORT: int = int(os.getenv("REDIS_PORT", "6379")) REDIS_DB: int = int(os.getenv("REDIS_DB", "1")) REDIS_PASSWORD: str = os.getenv("REDIS_PASSWORD", "") # ElasticSearch configuration ELASTICSEARCH_HOST: str = os.getenv("ELASTICSEARCH_HOST", "https://127.0.0.1") ELASTICSEARCH_PORT: int = int(os.getenv("ELASTICSEARCH_PORT", "9200")) ELASTICSEARCH_USERNAME: str = os.getenv("ELASTICSEARCH_USERNAME", "elastic") ELASTICSEARCH_PASSWORD: str = os.getenv("ELASTICSEARCH_PASSWORD", "") ELASTICSEARCH_VERIFY_CERTS: bool = os.getenv("ELASTICSEARCH_VERIFY_CERTS", "False").lower() == "true" ELASTICSEARCH_CA_CERTS: str = os.getenv("ELASTICSEARCH_CA_CERTS", "") ELASTICSEARCH_REQUEST_TIMEOUT: int = int(os.getenv("ELASTICSEARCH_REQUEST_TIMEOUT", "100000")) ELASTICSEARCH_RETRY_ON_TIMEOUT: bool = os.getenv("ELASTICSEARCH_RETRY_ON_TIMEOUT", "True").lower() == "true" ELASTICSEARCH_MAX_RETRIES: int = int(os.getenv("ELASTICSEARCH_MAX_RETRIES", "10")) # Xinference configuration XINFERENCE_URL: str = os.getenv("XINFERENCE_URL", "http://127.0.0.1") # LangSmith configuration LANGCHAIN_TRACING_V2: bool = os.getenv("LANGCHAIN_TRACING_V2", "false").lower() == "true" LANGCHAIN_TRACING: bool = os.getenv("LANGCHAIN_TRACING", "false").lower() == "true" LANGCHAIN_API_KEY: str = os.getenv("LANGCHAIN_API_KEY", "") LANGCHAIN_ENDPOINT: str = os.getenv("LANGCHAIN_ENDPOINT", "") # LLM Request Configuration LLM_TIMEOUT: float = float(os.getenv("LLM_TIMEOUT", "120.0")) LLM_MAX_RETRIES: int = int(os.getenv("LLM_MAX_RETRIES", "2")) # JWT Token Configuration SECRET_KEY: str = os.getenv("SECRET_KEY", "a_default_secret_key_that_is_long_and_random") ALGORITHM: str = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES: int = int(os.getenv("ACCESS_TOKEN_EXPIRE_MINUTES", "30")) REFRESH_TOKEN_EXPIRE_DAYS: int = int(os.getenv("REFRESH_TOKEN_EXPIRE_DAYS", "7")) # Single Sign-On configuration ENABLE_SINGLE_SESSION: bool = os.getenv("ENABLE_SINGLE_SESSION", "false").lower() == "true" # SSO 免登配置 SSO_TOKEN_EXPIRE_SECONDS: int = int(os.getenv("SSO_TOKEN_EXPIRE_SECONDS", "300")) SSO_TRUSTED_SOURCES_CONFIG: str = os.getenv("SSO_TRUSTED_SOURCES_CONFIG", "{}") # File Upload MAX_FILE_SIZE: int = int(os.getenv("MAX_FILE_SIZE", "52428800")) FILE_PATH: str = os.getenv("FILE_PATH", "/files") FILE_URL_EXPIRES: int = int(os.getenv("FILE_URL_EXPIRES", "3600")) # Storage Configuration STORAGE_TYPE: str = os.getenv("STORAGE_TYPE", "local") # Aliyun OSS Configuration OSS_ENDPOINT: str = os.getenv("OSS_ENDPOINT", "") OSS_ACCESS_KEY_ID: str = os.getenv("OSS_ACCESS_KEY_ID", "") OSS_ACCESS_KEY_SECRET: str = os.getenv("OSS_ACCESS_KEY_SECRET", "") OSS_BUCKET_NAME: str = os.getenv("OSS_BUCKET_NAME", "") # AWS S3 Configuration S3_REGION: str = os.getenv("S3_REGION", "") S3_ACCESS_KEY_ID: str = os.getenv("S3_ACCESS_KEY_ID", "") S3_SECRET_ACCESS_KEY: str = os.getenv("S3_SECRET_ACCESS_KEY", "") S3_BUCKET_NAME: str = os.getenv("S3_BUCKET_NAME", "") # VOLC ASR settings VOLC_APP_KEY: str = os.getenv("VOLC_APP_KEY", "") VOLC_ACCESS_KEY: str = os.getenv("VOLC_ACCESS_KEY", "") VOLC_SUBMIT_URL: str = os.getenv("VOLC_SUBMIT_URL", "https://openspeech.bytedance.com/api/v3/auc/bigmodel/submit") VOLC_QUERY_URL: str = os.getenv("VOLC_QUERY_URL", "https://openspeech.bytedance.com/api/v3/auc/bigmodel/query") # Langfuse configuration LANGFUSE_ENABLED: bool = os.getenv("LANGFUSE_ENABLED", "false").lower() == "true" LANGFUSE_PUBLIC_KEY: str = os.getenv("LANGFUSE_PUBLIC_KEY", "") LANGFUSE_SECRET_KEY: str = os.getenv("LANGFUSE_SECRET_KEY", "") LANGFUSE_HOST: str = os.getenv("LANGFUSE_HOST", "") # Server Configuration SERVER_IP: str = os.getenv("SERVER_IP", "127.0.0.1") FILE_LOCAL_SERVER_URL: str = os.getenv("FILE_LOCAL_SERVER_URL", "http://localhost:8000/api") # ======================================================================== # Internal Configuration (not in .env, used by application code) # ======================================================================== # Superuser settings (internal defaults) FIRST_SUPERUSER_EMAIL: str = os.getenv("FIRST_SUPERUSER_EMAIL", "admin@example.com") FIRST_SUPERUSER_USERNAME: str = os.getenv("FIRST_SUPERUSER_USERNAME", "admin") FIRST_SUPERUSER_PASSWORD: str = os.getenv("FIRST_SUPERUSER_PASSWORD", "admin_password") # Generic File Upload (internal) GENERIC_FILE_PATH: str = os.getenv("GENERIC_FILE_PATH", "/uploads") ENABLE_FILE_COMPRESSION: bool = os.getenv("ENABLE_FILE_COMPRESSION", "false").lower() == "true" ENABLE_VIRUS_SCAN: bool = os.getenv("ENABLE_VIRUS_SCAN", "false").lower() == "true" FILE_ACCESS_URL_PREFIX: str = os.getenv("FILE_ACCESS_URL_PREFIX", "http://localhost:8000/api/files") # Frontend URL for workspace invitations (internal) WEB_URL: str = os.getenv("WEB_URL", "http://localhost:3000") # CORS configuration (internal) CORS_ORIGINS: list[str] = [ origin.strip() for origin in os.getenv("CORS_ORIGINS", "").split(",") if origin.strip() ] # Language Configuration # Supported values: "zh" (Chinese), "en" (English) # This controls the language used for memory summary titles and other generated content DEFAULT_LANGUAGE: str = os.getenv("DEFAULT_LANGUAGE", "zh") # Logging settings LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO") LOG_FORMAT: str = os.getenv("LOG_FORMAT", "%(asctime)s - %(name)s - %(levelname)s - %(message)s") LOG_FILE_PATH: str = os.getenv("LOG_FILE_PATH", "logs/app.log") LOG_MAX_SIZE: int = int(os.getenv("LOG_MAX_SIZE", "10485760")) # 10MB LOG_BACKUP_COUNT: int = int(os.getenv("LOG_BACKUP_COUNT", "5")) LOG_TO_CONSOLE: bool = os.getenv("LOG_TO_CONSOLE", "true").lower() == "true" LOG_TO_FILE: bool = os.getenv("LOG_TO_FILE", "true").lower() == "true" # Sensitive Data Filtering ENABLE_SENSITIVE_DATA_FILTER: bool = os.getenv("ENABLE_SENSITIVE_DATA_FILTER", "true").lower() == "true" # Memory Module Logging PROMPT_LOG_LEVEL: str = os.getenv("PROMPT_LOG_LEVEL", "INFO") ENABLE_TEMPLATE_LOGGING: bool = os.getenv("ENABLE_TEMPLATE_LOGGING", "false").lower() == "true" TIMING_LOG_FILE: str = os.getenv("TIMING_LOG_FILE", "logs/time.log") TIMING_LOG_TO_CONSOLE: bool = os.getenv("TIMING_LOG_TO_CONSOLE", "true").lower() == "true" AGENT_LOG_FILE: str = os.getenv("AGENT_LOG_FILE", "logs/agent_service.log") AGENT_LOG_MAX_SIZE: int = int(os.getenv("AGENT_LOG_MAX_SIZE", "5242880")) # 5MB AGENT_LOG_BACKUP_COUNT: int = int(os.getenv("AGENT_LOG_BACKUP_COUNT", "20")) # Log Streaming Configuration LOG_STREAM_KEEPALIVE_INTERVAL: int = int(os.getenv("LOG_STREAM_KEEPALIVE_INTERVAL", "300")) # 5 minutes LOG_STREAM_MAX_CONNECTIONS: int = int(os.getenv("LOG_STREAM_MAX_CONNECTIONS", "10")) LOG_STREAM_BUFFER_SIZE: int = int(os.getenv("LOG_STREAM_BUFFER_SIZE", "8192")) # 8KB LOG_FILE_MAX_SIZE_MB: int = int(os.getenv("LOG_FILE_MAX_SIZE_MB", "10")) # 10MB # Celery configuration (internal) CELERY_BROKER: int = int(os.getenv("CELERY_BROKER", "1")) CELERY_BACKEND: int = int(os.getenv("CELERY_BACKEND", "2")) # SMTP Email Configuration SMTP_SERVER: str = os.getenv("SMTP_SERVER", "smtp.gmail.com") SMTP_PORT: int = int(os.getenv("SMTP_PORT", "587")) SMTP_USER: str = os.getenv("SMTP_USER", "") SMTP_PASSWORD: str = os.getenv("SMTP_PASSWORD", "") REFLECTION_INTERVAL_SECONDS: float = float(os.getenv("REFLECTION_INTERVAL_SECONDS", "300")) HEALTH_CHECK_SECONDS: float = float(os.getenv("HEALTH_CHECK_SECONDS", "600")) REFLECTION_INTERVAL_TIME: Optional[str] = int(os.getenv("REFLECTION_INTERVAL_TIME", 30)) # Memory Cache Regeneration Configuration MEMORY_CACHE_REGENERATION_HOURS: int = int(os.getenv("MEMORY_CACHE_REGENERATION_HOURS", "24")) # Celery Beat Schedule Configuration (定时任务执行频率) MEMORY_INCREMENT_HOUR: int = TypeAdapter( Annotated[int, Field(ge=0, le=23, description="cron hour [0, 23]")] ).validate_python(int(os.getenv("MEMORY_INCREMENT_HOUR", "2"))) MEMORY_INCREMENT_MINUTE: int = TypeAdapter( Annotated[int, Field(ge=0, le=59, description="cron minute [0, 59]")] ).validate_python(int(os.getenv("MEMORY_INCREMENT_MINUTE", "0"))) WORKSPACE_REFLECTION_INTERVAL_SECONDS: int = TypeAdapter( Annotated[int, Field(ge=1, description="reflection interval in seconds, must be >= 1")] ).validate_python(int(os.getenv("WORKSPACE_REFLECTION_INTERVAL_SECONDS", "30"))) FORGETTING_CYCLE_INTERVAL_HOURS: int = TypeAdapter( Annotated[int, Field(ge=1, description="forgetting cycle interval in hours, must be >= 1")] ).validate_python(int(os.getenv("FORGETTING_CYCLE_INTERVAL_HOURS", "24"))) # Memory Module Configuration (internal) MEMORY_OUTPUT_DIR: str = os.getenv("MEMORY_OUTPUT_DIR", "logs/memory-output") MEMORY_CONFIG_DIR: str = os.getenv("MEMORY_CONFIG_DIR", "app/core/memory") # Tool Management Configuration TOOL_CONFIG_DIR: str = os.getenv("TOOL_CONFIG_DIR", "app/core/tools") TOOL_EXECUTION_TIMEOUT: int = int(os.getenv("TOOL_EXECUTION_TIMEOUT", "60")) TOOL_MAX_CONCURRENCY: int = int(os.getenv("TOOL_MAX_CONCURRENCY", "10")) ENABLE_TOOL_MANAGEMENT: bool = os.getenv("ENABLE_TOOL_MANAGEMENT", "true").lower() == "true" # official environment system version SYSTEM_VERSION: str = os.getenv("SYSTEM_VERSION", "v0.2.1") # model square loading LOAD_MODEL: bool = os.getenv("LOAD_MODEL", "false").lower() == "true" # workflow config WORKFLOW_IMPORT_CACHE_TIMEOUT: int = int(os.getenv("WORKFLOW_IMPORT_CACHE_TIMEOUT", 1800)) WORKFLOW_NODE_TIMEOUT: int = int(os.getenv("WORKFLOW_NODE_TIMEOUT", 600)) # ======================================================================== # General Ontology Type Configuration # ======================================================================== # 通用本体文件路径列表(逗号分隔) GENERAL_ONTOLOGY_FILES: str = os.getenv("GENERAL_ONTOLOGY_FILES", "app/core/memory/ontology_services/General_purpose_entity.ttl") # 是否启用通用本体类型功能 ENABLE_GENERAL_ONTOLOGY_TYPES: bool = os.getenv("ENABLE_GENERAL_ONTOLOGY_TYPES", "true").lower() == "true" # Prompt 中最大类型数量 MAX_ONTOLOGY_TYPES_IN_PROMPT: int = int(os.getenv("MAX_ONTOLOGY_TYPES_IN_PROMPT", "50")) # 核心通用类型列表(逗号分隔) CORE_GENERAL_TYPES: str = os.getenv( "CORE_GENERAL_TYPES", "Person,Organization,Company,GovernmentAgency,Place,Location,City,Country,Building," "Event,SportsEvent,SocialEvent,Work,Book,Film,Software,Concept,TopicalConcept,AcademicSubject" ) # 实验模式开关(允许通过 API 动态切换本体配置) ONTOLOGY_EXPERIMENT_MODE: bool = os.getenv("ONTOLOGY_EXPERIMENT_MODE", "true").lower() == "true" def get_memory_output_path(self, filename: str = "") -> str: """ Get the full path for memory module output files. Args: filename: Optional filename to append to the output directory Returns: Full path to the output file or directory """ base_path = Path(self.MEMORY_OUTPUT_DIR) if filename: return str(base_path / filename) return str(base_path) def ensure_memory_output_dir(self) -> None: """ Ensure the memory output directory exists. Creates the directory if it doesn't exist. """ output_dir = Path(self.MEMORY_OUTPUT_DIR) output_dir.mkdir(parents=True, exist_ok=True) settings = Settings()