from functools import lru_cache
import os
from pathlib import Path

from pydantic import Field
from pydantic import BaseModel


class Settings(BaseModel):
    app_name: str = "ElevenClip.AI"
    demo_mode: bool = True
    storage_dir: Path = Path("data")
    frontend_origin: str = "http://localhost:5173"

    whisper_model_id: str = "openai/whisper-large-v3"
    qwen_text_model_id: str = "Qwen/Qwen2.5-7B-Instruct"
    qwen_vl_model_id: str = "Qwen/Qwen2-VL-7B-Instruct"
    hf_token: str | None = None
    preferred_torch_dtype: str = "bfloat16"

    target_clip_count: int = Field(default=5, ge=1, le=20)
    max_clips: int = Field(default=10, ge=1, le=50)

    ffmpeg_binary: str = "ffmpeg"
    ffprobe_binary: str = "ffprobe"
    ffmpeg_video_codec: str = "h264_amf"
    ffmpeg_cpu_codec: str = "libx264"

    redis_url: str = "redis://redis:6379/0"
    celery_enabled: bool = False


@lru_cache
def get_settings() -> Settings:
    settings = Settings(
        demo_mode=_bool_env("DEMO_MODE", True),
        storage_dir=Path(os.getenv("STORAGE_DIR", "data")),
        frontend_origin=os.getenv("FRONTEND_ORIGIN", "http://localhost:5173"),
        whisper_model_id=os.getenv("WHISPER_MODEL_ID", "openai/whisper-large-v3"),
        qwen_text_model_id=os.getenv("QWEN_TEXT_MODEL_ID", "Qwen/Qwen2.5-7B-Instruct"),
        qwen_vl_model_id=os.getenv("QWEN_VL_MODEL_ID", "Qwen/Qwen2-VL-7B-Instruct"),
        hf_token=os.getenv("HF_TOKEN") or None,
        preferred_torch_dtype=os.getenv("TORCH_DTYPE", "bfloat16"),
        target_clip_count=_int_env("TARGET_CLIP_COUNT", 5),
        max_clips=_int_env("MAX_CLIPS", 10),
        ffmpeg_binary=os.getenv("FFMPEG_BINARY", "ffmpeg"),
        ffprobe_binary=os.getenv("FFPROBE_BINARY", "ffprobe"),
        ffmpeg_video_codec=os.getenv("FFMPEG_VIDEO_CODEC", "h264_amf"),
        ffmpeg_cpu_codec=os.getenv("FFMPEG_CPU_CODEC", "libx264"),
        redis_url=os.getenv("REDIS_URL", "redis://redis:6379/0"),
        celery_enabled=_bool_env("CELERY_ENABLED", False),
    )
    settings.storage_dir.mkdir(parents=True, exist_ok=True)
    return settings


def _bool_env(name: str, default: bool) -> bool:
    value = os.getenv(name)
    if value is None:
        return default
    return value.strip().lower() in {"1", "true", "yes", "on"}


def _int_env(name: str, default: int) -> int:
    value = os.getenv(name)
    if value is None:
        return default
    return int(value)