"""
config.py -- App-wide constants and environment loading.
"""
import os
from pathlib import Path
from dotenv import load_dotenv

# Load .env from the app root
_ENV_PATH = Path(__file__).parent / ".env"
load_dotenv(_ENV_PATH)

# -- API Keys ------------------------------------------------------------------
FMP_API_KEY: str    = os.environ.get("FMP_API_KEY", "")
GEMINI_API_KEY: str = os.environ.get("GEMINI_API_KEY", "")
CLAUDE_API_KEY: str = os.environ.get("CLAUDE_API_KEY", "")
OPENAI_API_KEY: str = os.environ.get("OPENAI_API_KEY", "")
GROQ_API_KEY: str   = os.environ.get("GROQ_API_KEY", "")
NVIDIA_API_KEY: str = os.environ.get("NVIDIA_API_KEY", "")
HF_API_KEY: str     = os.environ.get("HF_API_KEY", "")

# -- Data settings -------------------------------------------------------------
DEFAULT_YEARS: int = 5
CACHE_TTL_DAYS: int = 7           # days before cached data expires
FMP_BASE: str = "https://financialmodelingprep.com/api"
SCREENER_BASE: str = "https://screener.in/company"
REQUEST_TIMEOUT: int = 20

# -- Output --------------------------------------------------------------------
OUTPUT_DIR: Path = Path(__file__).parent / "outputs"
OUTPUT_DIR.mkdir(exist_ok=True)

DB_PATH: Path = Path(__file__).parent / "storage" / "history.db"
DB_PATH.parent.mkdir(exist_ok=True)

# -- AI Models -----------------------------------------------------------------
GEMINI_MODEL: str  = "gemini-2.0-flash"
CLAUDE_MODEL: str  = "claude-3-5-haiku-20241022"
OPENAI_MODEL: str  = "gpt-4o-mini"
GROQ_MODEL: str    = "llama-3.3-70b-versatile"    # free, high-quality
NVIDIA_MODEL: str  = "meta/llama-3.1-405b-instruct"

# -- App metadata --------------------------------------------------------------
APP_NAME: str = "Financial Analyzer"
APP_VERSION: str = "1.0.0"