[Bug]: 'NoneType' object is not iterable"

[wangshuai-wuhan]

What happened?

A bug happened!

Relevant log output

Flower
Workers
Tasks
Broker
Documentation
celery_worker.process_integration_brain_sync 04cedd50-9c9d-4890-8a78-9d02ff4d2383
Name	celery_worker.process_integration_brain_sync
UUID	04cedd50-9c9d-4890-8a78-9d02ff4d2383
State	FAILURE
args	()
kwargs	{}
Result	None
Received	2024-03-16 06:00:00.055636 UTC
Started	2024-03-16 06:00:00.068868 UTC
Failed	2024-03-16 06:00:00.278617 UTC
Retries	0
Worker	celery@09380365e244
Exception	TypeError("'NoneType' object is not iterable")
Timestamp	2024-03-16 06:00:00.278617 UTC
Traceback	
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/site-packages/celery/app/trace.py", line 477, in trace_task
    R = retval = fun(*args, **kwargs)
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/celery/app/trace.py", line 760, in __protected_call__
    return self.run(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/code/celery_worker.py", line 192, in process_integration_brain_sync
    for integration in integrations:
TypeError: 'NoneType' object is not iterable
Clock	2853
Root	<Task: celery_worker.process_integration_brain_sync(04cedd50-9c9d-4890-8a78-9d02ff4d2383) FAILURE clock:2853>
Root id	04cedd50-9c9d-4890-8a78-9d02ff4d2383
Children

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[dosubot]

Hey there, @wangshuai-wuhan! Great to see you back. Ran into another tricky spot, huh? Let's dive into it!

The error you're encountering, 'NoneType' object is not iterable, is occurring because the get_integration_brain_by_type_integration method is returning None, and the code is attempting to iterate over this None value. This method is designed to retrieve a list of IntegrationEntity instances that match a specific integration name. If no matching records are found, it returns None.

The process_integration_brain_sync function in the celery_worker.py file is trying to iterate over the result of this method with the line for integration in integrations:. When integrations is None, this results in the error you're seeing.

To prevent this error, the get_integration_brain_by_type_integration method should be modified to return an iterable object (like an empty list) when no matching integrations are found. This would ensure that the for loop in the process_integration_brain_sync function can always iterate over its input, even if there are no integrations to process.

Here's a simple modification you could make to the get_integration_brain_by_type_integration method to return an empty list when no integrations are found:

def get_integration_brain_by_type_integration(self, integration_name: str) -> List[IntegrationEntity]:
    integrations = (
        self._database
        .select(self._integrations_user, self._integrations())
        .where(self._integrations.c.name == integration_name)
        .get()
    )
    return integrations or []

This change ensures that get_integration_brain_by_type_integration always returns a list, which can safely be iterated over in the process_integration_brain_sync function.

Please let me know if this helps, or if you have any other questions.

Sources

• backend/celery_worker.py
• backend/modules/brain/repository/integration_brains.py

About Dosu

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Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[wangshuai-wuhan]

@dosu-bot 2024-03-16 13:22:54 web | [AuthRetryableFetchError: fetch failed] {
2024-03-16 13:22:54 web | __isAuthError: true,
2024-03-16 13:22:54 web | name: 'AuthRetryableFetchError',
2024-03-16 13:22:54 web | status: 0
2024-03-16 13:22:54 web | }
2024-03-16 13:22:54 web | [TypeError: fetch failed] {
2024-03-16 13:22:54 web | cause: [Error: connect ECONNREFUSED 127.0.0.1:54321] {
2024-03-16 13:22:54 web | errno: -111,
2024-03-16 13:22:54 web | code: 'ECONNREFUSED',
2024-03-16 13:22:54 web | syscall: 'connect',
2024-03-16 13:22:54 web | address: '127.0.0.1',
2024-03-16 13:22:54 web | port: 54321

[dosubot]

Based on the error logs you've provided, it seems like your application is trying to establish a connection to a service on port 54321 at 127.0.0.1 (localhost), but the connection is being refused. This typically happens when there's no service listening on the specified port.

To resolve this issue, you should:

1. Check the Service: Make sure the service (e.g., database, API server) you're trying to connect to is running on 127.0.0.1 and listening on port 54321. If it's supposed to be running but isn't, you'll need to start it.

2. Configuration Settings: If the service is running on a different port or host, update your application's configuration to match the correct port and host. This might involve checking environment variables or other configuration files that specify connection details to external services.

3. Firewall/Network Issues: Ensure there's no firewall or network configuration blocking connections on the specified port.

4. Dependencies: If the connection is being made by a specific library or framework within your application (e.g., a database ORM), ensure that it's properly configured and that any necessary dependencies are correctly installed.

From the context provided, it doesn't seem like the quivr codebase contains any references to the port 54321. The default port specified in the server.js file is 1337. Therefore, the connection error might be originating from another part of your application or from a service your application is trying to connect to.

Without more information about your application's structure and the services it interacts with, it's difficult to provide a more specific solution. If you could provide more details about where in your application the connection to 127.0.0.1:54321 is being established, it would be easier to diagnose and resolve the issue.

Sources

• cms/quivr/config/server.js

About Dosu

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[Nicholas Coles]

I can take a look at this