"""
app/config.py — zentrale Konfiguration (ENV → Settings)

Version:
    0.3.0 (WP-05: LLM & Chat Config)
Stand:
    2025-12-08
"""

from __future__ import annotations
import os
from functools import lru_cache
from pathlib import Path

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")
    
    # WP-05 LLM / Ollama
    OLLAMA_URL: str = os.getenv("MINDNET_OLLAMA_URL", "http://127.0.0.1:11434")
    LLM_MODEL: str = os.getenv("MINDNET_LLM_MODEL", "llama3") # oder 'mistral', 'gemma'
    PROMPTS_PATH: str = os.getenv("MINDNET_PROMPTS_PATH", "config/prompts.yaml")

    # API
    DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
    
    # WP-04 Retriever Defaults
    RETRIEVER_W_SEM: float = float(os.getenv("MINDNET_WP04_W_SEM", "0.70"))
    RETRIEVER_W_EDGE: float = float(os.getenv("MINDNET_WP04_W_EDGE", "0.25"))
    RETRIEVER_W_CENT: float = float(os.getenv("MINDNET_WP04_W_CENT", "0.05"))
    RETRIEVER_TOP_K: int = int(os.getenv("MINDNET_WP04_TOP_K", "10"))
    RETRIEVER_EXPAND_DEPTH: int = int(os.getenv("MINDNET_WP04_EXPAND_DEPTH", "1"))
    RETRIEVER_EDGE_TYPES: str = os.getenv("MINDNET_WP04_EDGE_TYPES", "references,belongs_to,prev,next")

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