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"""
Verification script to test app functionality locally.
"""
import os
import sys
# Add current directory to path
sys.path.append(os.getcwd())
try:
from app import analyze_input
from rag_agent import RAGAgent
print("✅ Successfully imported app modules")
except ImportError as e:
print(f"❌ Import failed: {e}")
sys.exit(1)
def test_rag():
print("\nTesting RAG Agent...")
agent = RAGAgent()
# Create a dummy file to index
os.makedirs("test_data", exist_ok=True)
with open("test_data/test.txt", "w") as f:
f.write("This is a test file for the RAG agent.")
if not os.getenv("OPENAI_API_KEY"):
print("⚠️ OPENAI_API_KEY not found. Skipping actual indexing/querying.")
return
status = agent.index_codebase("test_data")
print(f"Index Status: {status}")
if "✅" in status:
response = agent.query_codebase("What is this file about?")
print(f"Query Response: {response}")
else:
print("❌ Indexing failed")
def test_analysis():
print("\nTesting Analysis...")
# Test with manual input to avoid needing a real repo/zip for now
result, project, summary, diagram, fixes = analyze_input(None, "", True)
print(f"Manual Analysis Result: {len(result)} chars")
# Test with user's GitHub repo
repo_url = "https://github.com/himanshu748/Technical_Training_Project"
print(f"Testing with Repo: {repo_url}")
result, project, summary, diagram, fixes = analyze_input(None, repo_url, False)
print(f"GitHub Analysis Result Project Name: {project}")
if "Error" in result:
print(f"❌ Analysis Failed: {result}")
else:
print(f"✅ Analysis Successful. Summary length: {len(summary)}")
print(f"✅ Diagram Generated: {len(diagram)} chars")
print(f"✅ Fixes Identified: {len(fixes)}")
# Test Updates Check
print("\nTesting Updates Check...")
# Mocking analysis for updates
mock_analysis = {"dependencies": ["flask", "requests", "gunicorn"]}
updates = analyzer.check_updates(mock_analysis)
print(f"✅ Updates Found: {len(updates)}")
# Test Deployment Trigger
print("\nTesting Deployment Trigger...")
deploy_msg = asyncio.run(deploy_action("Vercel", repo_url))
print(f"✅ Deployment Message: {deploy_msg[:50]}...")
if __name__ == "__main__":
# Mocking gradio components for local test
async def deploy_action(platform, repo):
return f"Deployed to {platform}"
test_analysis()
test_rag()
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