"""Configuration management for LightRAG sidecar."""

from pydantic_settings import BaseSettings
from typing import Literal


class Settings(BaseSettings):
    """Application settings from environment variables."""

    # Server
    LIGHTRAG_PORT: int = 3140
    ENVIRONMENT: Literal["development", "production"] = "production"

    # Domain & domain configuration
    LIGHTRAG_DOMAIN: str = "transceiver"  # Active domain
    MAX_DOMAINS: int = 5  # Support multiple domains

    # LLM Backend
    LLM_BACKEND: Literal["ollama", "claude"] = "ollama"
    OLLAMA_URL: str = "http://192.168.178.213:11434"
    OLLAMA_MODEL: str = "qwen2.5:14b"  # For entity extraction

    # Vector Search
    QDRANT_URL: str = "http://localhost:6333"
    EMBEDDING_MODEL: str = "bge-m3"  # Multilingual, 384-dim
    EMBEDDING_BATCH_SIZE: int = 32
    VECTOR_SIMILARITY_THRESHOLD: float = 0.7

    # Database
    DATABASE_URL: str = "postgresql://tip_kg:password@localhost/tip_lightrag"
    DB_POOL_SIZE: int = 10
    DB_ECHO: bool = False  # SQL logging

    # Ingestion
    MAX_WORKERS: int = 4
    INGEST_BATCH_SIZE: int = 10
    ENTITY_EXTRACTION_TIMEOUT: int = 30  # seconds

    # Retrieval
    DEFAULT_TOP_K: int = 5
    HYBRID_RETRIEVAL_WEIGHTS: dict = {
        "bm25": 0.4,
        "vector": 0.6
    }

    # Evaluation
    EVAL_Q_PER_DOMAIN: int = 50
    EVAL_CONFIDENCE_THRESHOLD: float = 0.7

    class Config:
        env_file = ".env"
        env_file_encoding = "utf-8"
        case_sensitive = True


settings = Settings()