139 lines
4.6 KiB
Python
139 lines
4.6 KiB
Python
"""
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配置管理模块
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从环境变量加载配置
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"""
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import os
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from pathlib import Path
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from typing import Optional
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from pydantic_settings import BaseSettings
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from functools import lru_cache
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# 查找.env文件的位置
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def find_env_file():
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"""查找.env文件，支持从backend目录或项目根目录启动"""
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current_dir = Path.cwd()
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# 尝试当前目录
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env_path = current_dir / ".env"
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if env_path.exists():
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print(f"[Config] 找到.env文件: {env_path}")
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return str(env_path)
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# 尝试父目录（项目根目录）
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env_path = current_dir.parent / ".env"
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if env_path.exists():
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print(f"[Config] 找到.env文件: {env_path}")
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return str(env_path)
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# 尝试backend的父目录
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if current_dir.name == "backend":
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env_path = current_dir.parent / ".env"
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if env_path.exists():
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print(f"[Config] 找到.env文件: {env_path}")
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return str(env_path)
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# 尝试从环境变量指定的路径
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if os.getenv('ENV_FILE'):
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env_path = Path(os.getenv('ENV_FILE'))
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if env_path.exists():
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print(f"[Config] 从ENV_FILE环境变量找到.env文件: {env_path}")
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return str(env_path)
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print(f"[Config] 警告：未找到.env文件，当前目录: {current_dir}")
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# 默认返回当前目录的.env
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return ".env"
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class Settings(BaseSettings):
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"""应用配置"""
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# Tushare配置
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tushare_token: str = ""
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# LLM配置
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zhipuai_api_key: str = ""
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deepseek_api_key: str = ""
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# 数据库配置
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database_url: str = "sqlite:///./stock_agent.db"
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# API配置
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api_host: str = "0.0.0.0"
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api_port: int = 8000
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debug: bool = True
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# 安全配置
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secret_key: str = "change-this-secret-key-in-production"
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rate_limit: str = "100/minute"
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# JWT配置
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jwt_algorithm: str = "HS256"
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jwt_expire_days: int = 7
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# 腾讯云短信配置
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tencent_sms_app_id: str = "1400961527"
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tencent_sms_secret_id: str = "AKIDxnbGj281iHtKallqqzvlV5YxBCrPltnS" # 腾讯云SecretId
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tencent_sms_secret_key: str = "ta6PXTMBsX7dzA7IN6uYUFn8F9uTovoU" # 腾讯云SecretKey
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tencent_sms_sign_id: str = "629073"
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tencent_sms_template_id: str = "2353142"
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# 验证码配置
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code_expire_minutes: int = 5
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code_resend_seconds: int = 60
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code_max_per_hour: int = 10
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# 白名单手机号（无需验证码即可登录）
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whitelist_phones: str = "18583366860,18583926860"
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# CORS配置
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cors_origins: str = "http://localhost:8000,http://127.0.0.1:8000"
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# Binance 配置（公开数据不需要 API 密钥）
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binance_api_key: str = ""
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binance_api_secret: str = ""
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# 飞书机器人配置
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feishu_webhook_url: str = "https://open.feishu.cn/open-apis/bot/v2/hook/8a1dcf69-6753-41e2-a393-edc4f7822db0"
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feishu_enabled: bool = True # 是否启用飞书通知
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# Telegram 机器人配置
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telegram_bot_token: str = "" # 从 @BotFather 获取
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telegram_channel_id: str = "" # 频道 ID，如 @your_channel 或 -1001234567890
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telegram_enabled: bool = True # 是否启用 Telegram 通知
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# 加密货币交易智能体配置
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crypto_symbols: str = "BTCUSDT,ETHUSDT" # 监控的交易对，逗号分隔
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crypto_analysis_interval: int = 60 # 分析间隔（秒）
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crypto_llm_threshold: float = 0.70 # 触发 LLM 分析的置信度阈值
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# Brave Search API 配置
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brave_api_key: str = ""
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# 模拟交易配置
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paper_trading_enabled: bool = True # 是否启用模拟交易
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paper_trading_initial_balance: float = 10000 # 初始本金 (USDT)
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paper_trading_leverage: int = 20 # 杠杆倍数（全仓模式下的最大杠杆）
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paper_trading_margin_per_order: float = 1000 # 每单保证金 (USDT)
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paper_trading_max_orders: int = 10 # 最大持仓+挂单总数
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paper_trading_auto_close_opposite: bool = False # 是否自动平掉反向持仓（智能策略）
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paper_trading_breakeven_threshold: float = 1 # 保本止损触发阈值（盈利百分比），0表示禁用
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# 废弃的配置（保留兼容性）
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paper_trading_position_a: float = 1000 # A级信号仓位 (USDT)
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paper_trading_position_b: float = 500 # B级信号仓位 (USDT)
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paper_trading_position_c: float = 200 # C级信号仓位 (USDT)
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# Agent 模型配置 (可选值: zhipu, deepseek)
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smart_agent_model: str = "deepseek" # SmartAgent 使用的模型
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crypto_agent_model: str = "deepseek" # CryptoAgent 使用的模型
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class Config:
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env_file = find_env_file()
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case_sensitive = False
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@lru_cache()
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def get_settings() -> Settings:
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"""获取配置单例"""
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return Settings()
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