28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
import os
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from functools import lru_cache
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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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"""FastAPI 配置，统一读取 .env 或系统环境变量"""
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", case_sensitive=False, extra="ignore")
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app_name: str = Field("AIMNOTE Ingest Service", env="INGEST_APP_NAME")
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environment: str = Field("development", env="INGEST_ENV")
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api_prefix: str = "/api"
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supabase_url: str = Field("http://127.0.0.1:54321", env="SUPABASE_URL")
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supabase_key: str = Field("", env="SUPABASE_SERVICE_ROLE_KEY")
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lightrag_url: str = Field("http://127.0.0.1:7777", env="LIGHTRAG_URL")
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lightrag_api_key: str = Field("", env="LIGHTRAG_API_KEY")
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ollama_base_url: str = Field("http://127.0.0.1:11434/v1", env="OLLAMA_BASE_URL")
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ollama_api_key: str = Field("ollama", env="OLLAMA_API_KEY")
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embeddings_model: str = Field("qwen3-embedding:8b", env="EMBEDDING_MODEL")
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llm_model: str = Field("qwen3:32b", env="DEFAULT_LLM_MODEL")
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rerank_model: str = Field("qwen3-reranker-4b", env="RERANK_MODEL")
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@lru_cache()
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def get_settings() -> Settings:
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return Settings()
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