PyTorch HUD MCP Server

  • test
#!/usr/bin/env python """ Test script for fixed MCP tools """ import asyncio import json import logging import requests # Set up logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger("test_fixed_tools") async def test_job_details_resource(): """Test the job_details_resource endpoint""" logger.info("Testing job_details_resource endpoint...") # Make direct HTTP request to the MCP server response = requests.post( "http://localhost:8000/tools/get_job_details_resource", json={"job_id": "33277771518"} ) if response.status_code == 200: result = response.json() logger.info(f"Success! Got job details resource: {json.dumps(result, indent=2)}") return True else: logger.error(f"Failed to get job details: {response.status_code} - {response.text}") return False async def test_download_log_resource(): """Test the download_log_to_file_resource endpoint""" logger.info("Testing download_log_to_file_resource endpoint...") # Make direct HTTP request to the MCP server response = requests.post( "http://localhost:8000/tools/download_log_to_file_resource", json={"job_id": "33277771518"} ) if response.status_code == 200: result = response.json() logger.info(f"Success! Got download log resource: {json.dumps(result, indent=2)}") return True else: logger.error(f"Failed to download log: {response.status_code} - {response.text}") return False async def main(): """Main entry point""" logger.info("Testing fixed MCP tools...") # Test job details resource job_details_success = await test_job_details_resource() # Test download log resource download_log_success = await test_download_log_resource() # Report results if job_details_success and download_log_success: logger.info("All tests passed!") else: logger.error("Some tests failed!") if __name__ == "__main__": asyncio.run(main())