"""
FILE: app/config.py
DESCRIPTION: Zentrale Pydantic-Konfiguration. Enthält Parameter für Qdrant, 
             Embeddings, Ollama, Google GenAI und OpenRouter.
             WP-20: Optimiert für Hybrid-Cloud Modus und Vektor-Synchronisation.
             WP-22: Integration von Change-Detection und Vocab-Paths.
FIX: Hinzufügen von load_dotenv(), um Umgebungsvariablen aus .env aktiv zu laden.
VERSION: 0.6.3
STATUS: Active
DEPENDENCIES: os, functools, pathlib, python-dotenv
"""
from __future__ import annotations
import os
from functools import lru_cache
from pathlib import Path
from dotenv import load_dotenv

# WP-20: Lade Umgebungsvariablen aus der .env Datei
# Muss vor dem Zugriff auf os.getenv erfolgen!
load_dotenv()

class Settings:
    # --- Qdrant Datenbank ---
    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")
    # WP-22: Vektor-Dimension muss mit dem Embedding-Modell (nomic) übereinstimmen
    VECTOR_SIZE: int = int(os.getenv("VECTOR_DIM", "768"))
    DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
    
    # --- Lokale Embeddings (Ollama & Sentence-Transformers) ---
    EMBEDDING_MODEL: str = os.getenv("MINDNET_EMBEDDING_MODEL", "nomic-embed-text")
    MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
    
    # --- WP-20 Hybrid LLM Provider ---
    # Erlaubt: "ollama" | "gemini" | "openrouter"
    MINDNET_LLM_PROVIDER: str = os.getenv("MINDNET_LLM_PROVIDER", "ollama").lower()
    
    # Google AI Studio (Direkt)
    GOOGLE_API_KEY: str | None = os.getenv("GOOGLE_API_KEY")
    GEMINI_MODEL: str = os.getenv("MINDNET_GEMINI_MODEL", "gemini-1.5-flash")
    GEMMA_MODEL: str = os.getenv("MINDNET_GEMMA_MODEL", "google/gemma-2-9b-it:free")
    
    # OpenRouter Integration
    OPENROUTER_API_KEY: str | None = os.getenv("OPENROUTER_API_KEY")
    OPENROUTER_MODEL: str = os.getenv("OPENROUTER_MODEL", "google/gemma-2-9b-it:free")
    
    LLM_FALLBACK_ENABLED: bool = os.getenv("MINDNET_LLM_FALLBACK", "true").lower() == "true"
    
    # --- WP-05 Lokales LLM (Ollama) ---
    OLLAMA_URL: str = os.getenv("MINDNET_OLLAMA_URL", "http://127.0.0.1:11434")
    LLM_MODEL: str = os.getenv("MINDNET_LLM_MODEL", "phi3:mini") 
    PROMPTS_PATH: str = os.getenv("MINDNET_PROMPTS_PATH", "config/prompts.yaml")
    
    # --- WP-06 / WP-14 Performance & Last-Steuerung ---
    LLM_TIMEOUT: float = float(os.getenv("MINDNET_LLM_TIMEOUT", "300.0"))
    DECISION_CONFIG_PATH: str = os.getenv("MINDNET_DECISION_CONFIG", "config/decision_engine.yaml")
    BACKGROUND_LIMIT: int = int(os.getenv("MINDNET_LLM_BACKGROUND_LIMIT", "2"))

    # --- System-Pfade & Ingestion-Logik ---
    DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
    MINDNET_VAULT_ROOT: str = os.getenv("MINDNET_VAULT_ROOT", "./vault")
    MINDNET_TYPES_FILE: str = os.getenv("MINDNET_TYPES_FILE", "config/types.yaml")
    MINDNET_VOCAB_PATH: str = os.getenv("MINDNET_VOCAB_PATH", "vault/_system/dictionary/edge_vocabulary.md")
    CHANGE_DETECTION_MODE: str = os.getenv("MINDNET_CHANGE_DETECTION_MODE", "full")
    
    # --- WP-04 Retriever Gewichte ---
    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()