from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    # Database
    database_url: str = "postgresql+asyncpg://clipforge:changeme_clipforge_2025@postgres:5432/clipforge"

    # Redis
    redis_url: str = "redis://redis:6379/0"

    # Whisper
    whisper_api_url: str = "https://whisper.jeffemmett.com"
    whisper_model: str = "deepdml/faster-whisper-large-v3-turbo-ct2"

    # AI Analysis - supports "ollama" or "openai" (OpenAI-compatible API)
    ai_provider: str = "ollama"  # "ollama" or "openai"
    ollama_url: str = "http://host.docker.internal:11434"
    ollama_model: str = "llama3.1:8b"
    openai_api_url: str = ""  # e.g. https://api.runpod.ai/v2/{endpoint_id}/openai/v1
    openai_api_key: str = ""
    openai_model: str = ""  # e.g. meta-llama/Llama-3.1-8B-Instruct

    # Storage
    media_dir: str = "/data/media"
    clips_dir: str = "/data/clips"
    renders_dir: str = "/data/renders"

    # yt-dlp
    ytdlp_cookies_file: str = ""
    max_video_duration: int = 7200

    # Processing
    max_concurrent_jobs: int = 2
    clip_min_duration: int = 15
    clip_max_duration: int = 90
    target_clips: int = 5

    model_config = {"env_file": ".env", "extra": "ignore"}


settings = Settings()