shangfangjian
0a27b18c27
Profeto — 给 LLM 提供数据,让 LLM 预测足球比分。 核心模块: - FastAPI 后端 + PostgreSQL (SQLAlchemy async) - 多 Agent LLM 预测 (5 专家 + 终裁) - 数据采集 (bzzoiro / understat / injuries) - React 前端 (Vite + Tailwind) 包含: - 数据源抽象 (DataSource 协议 + 注册表) - Alembic 数据库迁移 - Prompt 模板 (单/多 Agent) - 核心路径单元测试
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
"""pydantic-settings 配置。"""
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from __future__ import annotations
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", extra="ignore")
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# --- app ---
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APP_ENV: str = "development"
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LOG_LEVEL: str = "INFO"
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# --- database ---
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DATABASE_URL: str = "postgresql+asyncpg://football:football@localhost:5432/football"
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# --- LLM (OpenAI-compatible) ---
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LLM_PROVIDER: str = "openai"
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LLM_API_KEY: str = ""
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LLM_BASE_URL: str = "https://api.openai.com/v1"
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LLM_MODEL: str = "gpt-4o"
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LLM_TIMEOUT: int = 60
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# multi-agent 分档: 专家用便宜快模型,终裁用强模型;空则回落 LLM_MODEL
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LLM_SPECIALIST_MODEL: str = ""
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LLM_AGGREGATOR_MODEL: str = ""
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# --- data sources ---
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BZZOIRO_KEY: str = ""
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BZZOIRO_BASE: str = "https://sports.bzzoiro.com/api/v2"
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API_FOOTBALL_KEY: str = ""
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# --- CORS ---
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CORS_ORIGINS: str = "http://localhost:5173,http://localhost:3000"
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settings = Settings()
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