"""Centralized configuration system using pydantic-settings.

All environment-driven settings are defined here. No module outside this file
should read os.environ directly.
"""

from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    """Application settings loaded from environment variables and .env file."""

    ai_service_name: str = "LearningOutcomeOS-AI-V2"
    ai_service_version: str = "2.0.0"

    # Paths — overridden by .env for local dev vs Hugging Face deployment
    dataset_dir: str = "../learning_outcome_os_dataset_v2"
    dataset_repo_id: str | None = "orderlymirror/lo"
    model_artifact_dir: str = "./artifacts/models"
    metrics_dir: str = "./artifacts/metrics"
    reports_dir: str = "./artifacts/reports"
    feedback_dir: str = "./artifacts/feedback"

    log_level: str = "INFO"
    seed: int = 20260520
    low_confidence_threshold: float = 0.55
    enable_explainability: bool = True
    log_salt: str = "hf-space-default-salt"

    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")


settings = Settings()