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325cb74 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | """
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"
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