deep-research-ai / rag_test.py
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import os
import shutil
from dotenv import load_dotenv
from agent import upload_file, vector_store
# Load environment variables
load_dotenv(".env", override=True)
load_dotenv("../.env", override=False)
def test_rag():
print("--- Starting RAG Test ---")
# Create a dummy test file
test_file = "rag_test_doc.txt"
with open(test_file, "w") as f:
f.write("The secret code is 12345. This is a confidential document for Project X.")
conversation_id_1 = "chat_1"
conversation_id_2 = "chat_2"
try:
# 1. Upload to Chat 1
print(f"\n1. Uploading to {conversation_id_1}...")
upload_file(test_file, conversation_id_1)
# 2. Retrieve from Chat 1 (Should find it)
print(f"\n2. Searching in {conversation_id_1}...")
results_1 = vector_store.similarity_search("secret code", k=1, filter={"conversation_id": conversation_id_1})
if results_1:
print(f"βœ… Found: {results_1[0].page_content}")
else:
print("❌ Not found (Unexpected)")
# 3. Retrieve from Chat 2 (Should NOT find it)
print(f"\n3. Searching in {conversation_id_2}...")
results_2 = vector_store.similarity_search("secret code", k=1, filter={"conversation_id": conversation_id_2})
if not results_2:
print("βœ… Not found (Expected)")
else:
print(f"❌ Found (Unexpected): {results_2[0].page_content}")
except Exception as e:
print(f"Test Failed: {e}")
finally:
# Cleanup
if os.path.exists(test_file):
os.remove(test_file)
if __name__ == "__main__":
test_rag()