daec4b6be4
- Add return type annotation (list[str]) to Config.validate() - Add type annotations (msg: str, -> None) to logger convenience functions - Add FileParser.is_supported() classmethod for checking file format support
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
"""
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配置管理
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统一从项目根目录的 .env 文件加载配置
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"""
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import os
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from dotenv import load_dotenv
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# 加载项目根目录的 .env 文件
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# 路径: MiroFish/.env (相对于 backend/app/config.py)
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project_root_env = os.path.join(os.path.dirname(__file__), '../../.env')
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if os.path.exists(project_root_env):
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load_dotenv(project_root_env, override=True)
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else:
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# 如果根目录没有 .env，尝试加载环境变量（用于生产环境）
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load_dotenv(override=True)
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class Config:
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"""Flask配置类"""
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# Flask配置
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SECRET_KEY = os.environ.get('SECRET_KEY', 'mirofish-secret-key')
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DEBUG = os.environ.get('FLASK_DEBUG', 'True').lower() == 'true'
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# JSON配置 - 禁用ASCII转义，让中文直接显示（而不是 \uXXXX 格式）
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JSON_AS_ASCII = False
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# LLM配置（统一使用OpenAI格式）
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LLM_API_KEY = os.environ.get('LLM_API_KEY')
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LLM_BASE_URL = os.environ.get('LLM_BASE_URL', 'https://api.openai.com/v1')
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LLM_MODEL_NAME = os.environ.get('LLM_MODEL_NAME', 'gpt-4o-mini')
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# Zep配置
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ZEP_API_KEY = os.environ.get('ZEP_API_KEY')
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# 文件上传配置
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MAX_CONTENT_LENGTH = 50 * 1024 * 1024 # 50MB
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UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), '../uploads')
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ALLOWED_EXTENSIONS = {'pdf', 'md', 'txt', 'markdown'}
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# 文本处理配置
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DEFAULT_CHUNK_SIZE = 500 # 默认切块大小
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DEFAULT_CHUNK_OVERLAP = 50 # 默认重叠大小
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# OASIS模拟配置
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OASIS_DEFAULT_MAX_ROUNDS = int(os.environ.get('OASIS_DEFAULT_MAX_ROUNDS', '10'))
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OASIS_SIMULATION_DATA_DIR = os.path.join(os.path.dirname(__file__), '../uploads/simulations')
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# OASIS平台可用动作配置
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OASIS_TWITTER_ACTIONS = [
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'CREATE_POST', 'LIKE_POST', 'REPOST', 'FOLLOW', 'DO_NOTHING', 'QUOTE_POST'
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]
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OASIS_REDDIT_ACTIONS = [
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'LIKE_POST', 'DISLIKE_POST', 'CREATE_POST', 'CREATE_COMMENT',
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'LIKE_COMMENT', 'DISLIKE_COMMENT', 'SEARCH_POSTS', 'SEARCH_USER',
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'TREND', 'REFRESH', 'DO_NOTHING', 'FOLLOW', 'MUTE'
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]
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# Report Agent配置
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REPORT_AGENT_MAX_TOOL_CALLS = int(os.environ.get('REPORT_AGENT_MAX_TOOL_CALLS', '5'))
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REPORT_AGENT_MAX_REFLECTION_ROUNDS = int(os.environ.get('REPORT_AGENT_MAX_REFLECTION_ROUNDS', '2'))
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REPORT_AGENT_TEMPERATURE = float(os.environ.get('REPORT_AGENT_TEMPERATURE', '0.5'))
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@classmethod
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def validate(cls) -> list[str]:
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"""验证必要配置"""
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errors: list[str] = []
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if not cls.LLM_API_KEY:
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errors.append("LLM_API_KEY 未配置")
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if not cls.ZEP_API_KEY:
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errors.append("ZEP_API_KEY 未配置")
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return errors
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