MicroFish/backend/app/config.py

87 lines
3.5 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""
配置管理
统一从项目根目录的 .env 文件加载配置
"""
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)
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
load_dotenv(override=True)
class Config:
"""Flask配置类"""
# Flask配置
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_AS_ASCII = False
# LLM配置统一使用OpenAI格式
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')
# Boost/Fallback LLM配置可选主 LLM 失败时自动回退)
LLM_BOOST_API_KEY = os.environ.get('LLM_BOOST_API_KEY')
LLM_BOOST_BASE_URL = os.environ.get('LLM_BOOST_BASE_URL')
LLM_BOOST_MODEL_NAME = os.environ.get('LLM_BOOST_MODEL_NAME')
# Zep配置
ZEP_API_KEY = os.environ.get('ZEP_API_KEY')
# Zep 速率限制配置(可通过 .env 调整,升级付费计划后放宽)
ZEP_RATE_LIMIT = int(os.environ.get('ZEP_RATE_LIMIT', '5')) # 每个窗口期允许的请求数
ZEP_RATE_LIMIT_WINDOW = int(os.environ.get('ZEP_RATE_LIMIT_WINDOW', '60')) # 窗口期(秒)
ZEP_CACHE_TTL = int(os.environ.get('ZEP_CACHE_TTL', '30')) # graph data 缓存时间0=不缓存
ZEP_GRAPH_POLL_INTERVAL = int(os.environ.get('ZEP_GRAPH_POLL_INTERVAL', '0')) # 前端自动轮询间隔0=仅手动刷新
# 文件上传配置
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
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_TWITTER_ACTIONS = [
'CREATE_POST', 'LIKE_POST', 'REPOST', 'FOLLOW', 'DO_NOTHING', 'QUOTE_POST'
]
OASIS_REDDIT_ACTIONS = [
'LIKE_POST', 'DISLIKE_POST', 'CREATE_POST', 'CREATE_COMMENT',
'LIKE_COMMENT', 'DISLIKE_COMMENT', 'SEARCH_POSTS', 'SEARCH_USER',
'TREND', 'REFRESH', 'DO_NOTHING', 'FOLLOW', 'MUTE'
]
# Report Agent配置
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) -> list[str]:
"""验证必要配置"""
errors: list[str] = []
if not cls.LLM_API_KEY:
errors.append("LLM_API_KEY 未配置")
if not cls.ZEP_API_KEY:
errors.append("ZEP_API_KEY 未配置")
return errors