mindnet/app/config.py

"""
Version 0.1
"""
from __future__ import annotations
import os
from functools import lru_cache

class Settings:
    # Qdrant
    QDRANT_URL: str = os.getenv("QDRANT_URL", "http://127.0.0.1:6333")
    QDRANT_API_KEY: str | None = os.getenv("QDRANT_API_KEY")
    COLLECTION_PREFIX: str = os.getenv("MINDNET_PREFIX", "mindnet")
    VECTOR_SIZE: int = int(os.getenv("MINDNET_VECTOR_SIZE", "384"))
    DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
    # Embeddings
    MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
    # API
    DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"

@lru_cache
def get_settings() -> Settings:
    return Settings()