"""
src/config.py — Central configuration loaded from environment variables.

For local development: create a .env file (see .env.example).
For Hugging Face Spaces: set these under Space Settings → Secrets/Variables.
"""
import os
from pathlib import Path

# ─── Load local .env if present (dev-mode only) ──────────────────────────────
# override=True ensures .env values always win over any inherited empty env vars.
# We try two locations: project root (relative to this file) and current working
# directory, so the app works whether launched from the repo root or src/.
try:
    from dotenv import load_dotenv
    _env_candidates = [
        Path(__file__).parent.parent / ".env",   # <project_root>/.env
        Path.cwd() / ".env",                     # wherever Streamlit was launched
    ]
    for _env_path in _env_candidates:
        if _env_path.exists():
            load_dotenv(_env_path, override=True)
            break
except ImportError:
    pass  # python-dotenv is optional; HF Spaces inject vars directly

# ─── LLM / Ollama settings ────────────────────────────────────────────────────
# MODEL_PROVIDER is always "ollama" — no other provider is supported.
MODEL_PROVIDER: str = "ollama"

# Defaults mirror the values in .env so the app works without an explicit
# HF Secret if the .env file is present locally.
MODEL_NAME: str = os.getenv("MODEL_NAME", "gpt-oss:120b")
_raw_base_url: str = os.getenv("MODEL_BASE_URL", "https://ollama.com/v1") or "https://ollama.com/v1"
MODEL_BASE_URL: str = _raw_base_url.rstrip("/")
CHAT_COMPLETION_URL: str = MODEL_BASE_URL + "/chat/completions"
OLLAMA_API_KEY: str = os.getenv("OLLAMA_API_KEY", "")

MAX_TOKENS: int = int(os.getenv("MAX_TOKENS", "1024"))
TEMPERATURE: float = float(os.getenv("TEMPERATURE", "0.7"))
REQUEST_TIMEOUT: int = int(os.getenv("REQUEST_TIMEOUT", "60"))

# ─── App display ──────────────────────────────────────────────────────────────
APP_TITLE: str = "PharmGPT"
APP_SUBTITLE: str = "AI-Powered Pharmaceutical & Medical Assistant"

# ─── Storage paths ────────────────────────────────────────────────────────────
_project_root = Path(__file__).parent.parent
DATA_DIR: Path = Path(os.getenv("DATA_DIR", str(_project_root / "data")))
LOGS_DIR: Path = Path(os.getenv("LOGS_DIR", str(_project_root / "logs")))
DB_PATH: Path = DATA_DIR / "pharmgpt.db"
LOG_PATH: Path = LOGS_DIR / "pharmgpt.log"

# Create directories on import so every module can rely on them existing
DATA_DIR.mkdir(parents=True, exist_ok=True)
LOGS_DIR.mkdir(parents=True, exist_ok=True)