import tempfile
import os
from pydantic_settings import BaseSettings, SettingsConfigDict
from functools import lru_cache


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

    # Set OPENROUTER_API_KEY as a HF Space Secret
    openrouter_api_key: str = ""
    api_key: str = ""
    llm_model: str = "meta-llama/llama-3.3-70b-instruct"
    llm_model_cheap: str = "meta-llama/llama-3.1-8b-instruct"
    llm_model_expensive: str = "meta-llama/llama-3.3-70b-instruct"

    app_env: str = "production"
    log_level: str = "info"

    # Uses /tmp inside HF Space container — no hardcoded local paths
    repo_clone_dir: str = os.path.join(tempfile.gettempdir(), "ai-code-review-repos")
    max_repo_size_mb: int = 300

    # Redis / Celery — async job queue for /analyze/async + /jobs/{id}
    redis_url: str = "redis://localhost:6379/0"
    celery_result_backend: str | None = None
    celery_task_always_eager: bool = False

    # Result cache — caches EngineeringReport by (repo_url, head_sha)
    cache_ttl_seconds: int = 86400  # 24h

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

def _clear_settings_cache() -> None:  # test helper only
    get_settings.cache_clear()