"""Configuration centralisée via Pydantic Settings."""
from functools import lru_cache
from pydantic_settings import BaseSettings
from pydantic import field_validator
from typing import List


class Settings(BaseSettings):
    # Serveur
    backend_host: str = "127.0.0.1"
    backend_port: int = 8000
    debug: bool = True
    secret_key: str = "changeme"

    # Base de données
    database_url: str = "sqlite:///./data/hsbg_ai.db"

    # LLM
    llm_provider: str = "ollama"
    llm_base_url: str = "http://localhost:11434"
    llm_model: str = "llama3.2"
    llm_fallback_model: str = "mistral"
    llm_timeout: int = 30
    llm_max_tokens: int = 2048
    llm_temperature: float = 0.1

    # Vision
    vision_enabled: bool = True
    screenshot_interval: float = 2.0
    tesseract_path: str = "/usr/bin/tesseract"

    # Apprentissage
    learning_enabled: bool = True
    learning_rate: float = 0.001
    learning_batch_size: int = 32
    learning_auto_save: bool = True
    learning_save_interval: int = 300

    # Frontend
    frontend_host: str = "127.0.0.1"
    frontend_port: int = 3000
    cors_origins: List[str] = ["http://localhost:3000", "http://127.0.0.1:3000"]

    # Logs
    log_level: str = "INFO"
    log_file: str = "./logs/hsbg_ai.log"

    # Data
    hsbg_data_path: str = "./data/hsbg"
    current_patch: str = "30.2"

    @field_validator("cors_origins", mode="before")
    @classmethod
    def parse_cors(cls, v):
        if isinstance(v, str):
            return [x.strip() for x in v.split(",")]
        return v

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


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