"""
Quick script to check RAG backend configuration.
"""
import os
from pathlib import Path
from dotenv import load_dotenv
# Load .env file
env_path = Path(__file__).parent / ".env"
if env_path.exists():
load_dotenv(env_path)
print("✅ .env file found and loaded")
else:
print("⚠️ .env file not found")
# Check API keys
gemini_key = os.getenv("GEMINI_API_KEY")
openai_key = os.getenv("OPENAI_API_KEY")
llm_provider = os.getenv("LLM_PROVIDER", "gemini")
print(f"\n📋 Configuration Status:")
print(f" LLM Provider: {llm_provider}")
if llm_provider == "gemini":
if gemini_key and gemini_key != "your_gemini_api_key_here":
print(f" ✅ Gemini API Key: Set ({gemini_key[:10]}...)")
else:
print(f" ❌ Gemini API Key: NOT SET")
print(f" → Add GEMINI_API_KEY=your_key to .env file")
print(f" → Get key from: https://aistudio.google.com/app/apikey")
elif llm_provider == "openai":
if openai_key and openai_key != "your_openai_api_key_here":
print(f" ✅ OpenAI API Key: Set ({openai_key[:10]}...)")
else:
print(f" ❌ OpenAI API Key: NOT SET")
# Check other important settings
print(f"\n⚙️ Other Settings:")
print(f" CHUNK_SIZE: {os.getenv('CHUNK_SIZE', '500')}")
print(f" TOP_K: {os.getenv('TOP_K', '6')}")
print(f" SIMILARITY_THRESHOLD: {os.getenv('SIMILARITY_THRESHOLD', '0.35')}")
print(f"\n💡 Next Steps:")
if not gemini_key or gemini_key == "your_gemini_api_key_here":
print(" 1. Get Gemini API key from: https://aistudio.google.com/app/apikey")
print(" 2. Add to .env file: GEMINI_API_KEY=your_actual_key")
print(" 3. Restart the server")
else:
print(" ✅ Configuration looks good!")
print(" → Test with: python test_rag.py")
