Problem connecting to Neo4j sandbox while taking NeoConverse graph academy course

General Graph Academy
1

I'm taking the NeoConverse course and am unable to connect to the IP address assigned to me. I get the message " ServiceUnavailable: Failed to read from defunct connection IPv4Address(('98.80.168.173', 7687)) (ResolvedIPv4Address(('98.80.168.173', 7687)))"

I'm unable to ping that IP also.

Any help appreciated!

Paul

2

If you're having trouble connecting to the Neo4j Sandbox while using the NeoConverse graph, here are some steps to help troubleshoot and resolve the issue:

Steps to Troubleshoot

  1. Check Sandbox Status:
  • Ensure that your Neo4j Sandbox is running. You can check the status in the Neo4j Sandbox dashboard.
  1. Verify Connection Details:
  • Make sure you are using the correct connection URI, username, and password. The default URI for the Neo4j Sandbox is typically bolt://<sandbox-id>.databases.neo4j.io, and the default username is usually neo4j with the password provided in the sandbox dashboard.
  1. Network Configuration:
  • If you are behind a corporate firewall or using a VPN, check if the connection to the Neo4j Sandbox is being blocked. You may need to adjust your firewall settings or disconnect from the VPN.
  1. Browser Compatibility:
  • Ensure you are using a compatible browser. Sometimes, browser extensions or settings can interfere with connections.
  1. Use Neo4j Desktop or Browser:
  • If you are trying to connect using a specific application or script, try using the Neo4j Browser or Neo4j Desktop instead. This can help identify if the issue is with the connection method you are using.
  1. Check for Updates:
  • Ensure that you are using the latest version of any client libraries or tools you are connecting with, as older versions may have compatibility issues.
  1. Examine Logs:
  • If possible, check the logs for any error messages or clues about why the connection is failing. This can provide insight into the specific issue.
  1. Community Help:
  • If the problem persists, consider posting in the Neo4j community forums with detailed information about your setup, error messages, and what you've already tried. The community can often provide valuable assistance.
3

Hi Paul,

What course are you referring to? Do you have a link you could share?

4

OOPS! I wasn't paying attention when I posted. The course name is " Build a Neo4j-backed Chatbot using Python". Apologies for the confusion.

5

Thanks, its a GraphAcademy course.

When you say "IP address assigned to me" - I assume you mean the Neo4j sandbox instance that was created? Rather than the IP address of the streamlit bot you are creating.

I have just tested the course and I can successfully connect to sandbox which was created for me from the app.

I can only assume there is something wrong with that instance ?!

If you login to sandbox.neo4j.com (sign in with the same account you use for GraphAcadem) you can terminate the instance:

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When you go back into the course it will recreate a new instance for you.

Other than that I am not sure what to suggest.

6

Martin --

I looked at tglinkhub's suggestions above, and discovered the boilerplate python code "Connect via drivers" for talking to the instance via bolt. I just ran that code and got the same error.

I will follow your suggestion as a next step, and post my outcome. It may be a few days before I have time to work on it again.

Thanks for helping,

Paul

7

Martin --

I tried this and get the same problem. I will try running this on a different machine Monday.

Thanks again for your help,

Paul

8

Martin --

One last question -- my new IP address is 34.203.42.101.

Should I be able to successfully ping that IP? I can't ping it, I've tried from two machines.

Paul

9

You wont be able to ping the IP address, you will only be able to connect to it on specific ports.

It could be that local firewall rules are stopping you from connecting.

You could try using gitpod.io and the online/browser vs code editor. The connection is made from the remote machine rather than your local machine.