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This article helps you resolve issues you may meet using Cognite Functions.

Incorrect folder structure when deploying a function as a zip file

Cognite Functions expects to be at the root of the zipped folder or at a path relative to the root as pointed to by the function_path attribute. The following errors occur when isn't found at either of these locations.

Error messages:

When using the API to publish the function, you may see this error message in Cognite Data Fusion (CDF) if the function deployment fails:

No Python module found at location "" in zip-file.

If you use the Cognite SDK to publish the function, you may see this error message if the function deployment fails:

No file found at location.

This typically occurs when the root folder is zipped and not the folder content. Here's an example of a wrong folder structure:

└── requirements.txt

If you run the zip command outside the func/ folder, the folder structure becomes wrong.

# pwd: ~/tmp
> zip -r func/
adding: func/ (stored 0%)
adding: func/ (stored 0%)
adding: func/requirements.txt (stored 0%)

The requirements.txt must be at the root of the zip-file.


cd into the func folder before you zip the contents:

# pwd: ~/tmp/func
❯ zip -r *
adding: (stored 0%)
adding: requirements.txt (stored 0%)

Failed calls without logs

A function call returns with the status Failed, and there are no logs to explain why it Failed.


Cognite Functions doesn't support the Python logging module, and importing it can sometimes hide the stack trace of failed calls.


Rerun the function after replacing logging statements with print statements. Remove all imports of the logging module.

Multithreading isn't behaving as expected

Avoid using multithreading from within the function as this may break the internal structure of the function such as function status reporting and error detection.

Faulty requirements.txt

A faulty requirements.txt usually results in error messages from pip. These occur in the error attribute of the object returned by the function create operation. If the function deployment fails, the error also occurs in the CDF user interface.


We've experienced cases where the pip installation failed, but no error messages occurred in the pip log.


Test the installation locally: pip install -r requirements.txt For Cognite Functions on Azure, the requirements.txt-file must be compatible with:


Incorrectly named requirements.txt

Your function call fails with the following message in the logs.

Error message:

ModuleNotFoundError: No module named ...


Make sure the file requirements.txt is correctly named. If the file name is misspelled, the packages listed in the file will not be installed.

Default version of cognite-sdk

By default, the function is deployed with the latest version of cognite-sdk. If a specific version is desired, it can be specified in the requirements.txt file uploaded with the function source code.

Absolute versus relative imports

If the following message occurs in the function call logs, a relative import has failed.

Error message:

ImportError: attempted relative import with no known parent package


The user is attempting to use relative imports within their


Use absolute imports instead of relative imports to avoid ambiguity about where the package should be imported from. See RealPython: Absolute vs Relative Python Imports.

Scheduled function call fails/times out

The following error message in the function call logs can indicate a problem with the session used to instantiate CogniteClient:

Error message:

Could not fetch a valid token or a valid API key. Unable to instantiate a CogniteClient. Please verify your credentials.


Check CDF to see if the OpenID Connect (OIDC) settings have been updated. This revokes all existing sessions, and all schedules will fail. Recreate the function schedules to solve this problem.

Switching from API keys to OIDC tokens

If functions authenticate with API keys, you can use the function's external_id to link a schedule to the Cognite Function. If you delete the Cognite Function, the linked schedule will persist and can be relinked to a new function with the same external_id.

If functions authenticate with OIDC-tokens, you must link a schedule to a Cognite Function via the function's ID. If you delete the Cognite Function, the schedule can never be relinked to any function since the ID never repeats. Thus, all schedules attached to a function are deleted together with the function.

Connecting to databases outside CDF

Although connecting to databases outside CDF is technically possible, Cognite doesn't provide an IP range/CIDR to add to an allowlist. This makes your database publicly available for any IP, making it highly insecure.

Cognite Functions is intended to be used with CDF data. Solutions such as Azure Functions or AWS Lambdas may be a better fit for generic or arbitrary code execution.

Download files to the function

If you are trying to download/create files from within a Cognite Function, you may see this error:

Error message

OSError: [Errno 30] Read-only file system


The function code only has write access to the /tmp directory. For example, the following snippet creates a temporary directory inside tmp. Use this directory to create temporary files required during function execution.

with tempfile.TemporaryDirectory() as tmpdirname:
print('created temporary directory', tmpdirname)

You can't rely on files created during the execution of a function to be persisted and available in the next execution.