"""Configuration loaded from env vars and .env file."""

from __future__ import annotations

import os
from pathlib import Path
from typing import Literal

from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        case_sensitive=False,
        extra="ignore",
    )

    # Server (HF Spaces uses PORT env var, default 7860)
    host: str = "0.0.0.0"
    port: int = Field(default_factory=lambda: int(os.environ.get("PORT", "8765")))
    log_level: str = "info"
    workers: int = 1

    # Cache
    cache_enabled: bool = True
    cache_ttl_seconds: int = 3600
    cache_max_entries: int = 10_000

    # Timeouts
    solver_timeout: int = 30
    whisper_timeout: int = 15
    vision_timeout: int = 20
    ollama_timeout: int = 30

    # Whisper
    whisper_model: Literal["tiny", "base", "small", "medium", "large-v3"] = "tiny"
    whisper_device: Literal["cpu", "cuda"] = "cpu"
    whisper_compute_type: Literal["int8", "int8_float16", "int16", "float16", "float32"] = "int8"

    # Florence-2
    florence_model: str = "microsoft/Florence-2-base"
    florence_device: Literal["cpu", "cuda"] = "cpu"
    florence_torch_dtype: Literal["float32", "float16", "bfloat16"] = "float32"

    # Moondream2
    moondream_model: str = "vikhyatk/moondream2"
    moondream_device: Literal["cpu", "cuda"] = "cpu"

    # Qwen2.5 (text LLM)
    qwen_model: str = "Qwen/Qwen2.5-1.5B-Instruct"
    qwen_device: Literal["cpu", "cuda"] = "cpu"
    qwen_torch_dtype: Literal["float32", "float16", "bfloat16"] = "float32"

    # Ollama (optional)
    ollama_enabled: bool = False
    ollama_host: str = "http://localhost:11434"
    ollama_text_model: str = "qwen2.5:1.5b"
    ollama_vision_model: str = "qwen2.5vl:3b"

    # Directories
    cache_dir: Path = Field(default_factory=lambda: Path("models_cache"))

    def ensure_dirs(self) -> None:
        self.cache_dir.mkdir(parents=True, exist_ok=True)


_settings: Settings | None = None


def get_settings() -> Settings:
    global _settings
    if _settings is None:
        _settings = Settings()
        _settings.ensure_dirs()
    return _settings