import torch
from pathlib import Path
from typing import Dict, Any, Optional
from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic import Field


class Settings(BaseSettings):
    # Pinecone Settings (Loaded from .env)
    pinecone_api_key: str
    pinecone_index_name: str

    project_root: Path = Field(default=Path(__file__).parent.parent)

    # Hugging Face Settings
    model_repo_id: str = "Unspoiled-Egg/ijepa-vit-huge-target-encoder"
    hf_token: Optional[str] = None

    # Model & Inference Settings
    mount_path: str = "/data"
    batch_size: int = 4
    device: str = "cuda" if torch.cuda.is_available() else "cpu"
    embedding_dim: int = 5120

    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        extra="ignore"
    )


# Create the singleton instance
settings = Settings()