This repository contains the code that is run using Cognite Functions for the CDF Enablement Bootcamp (hereafter referred to as Bootcamp).

Note: This repository was generated from the template repository cognitedata/deploy-functions-oidc. Information about how to use and deploy code/models to Cognite Functions within a CI/CD pipeline using OIDC can be found in the template repo's README. For more information about Cognite Functions, refer to the Cognite documentation.

This function runs the ice-cream-factory-datapoints-extractor to create timeseries (if it doesn't already exist in the CDF project) and extracts datapoints data from the ice-cream-factory-api into CDF clean.

While a Cognite Function is the not recommended for running extractors, it is a suitable tool to demonstrate an extraction pipeline in the Bootcamp.

This function calculates the overall equipment effectiveness (OEE) using the values from timeseries extracted above, primarily:

• good
• count
• status
• planned status

More details on these timeseries and the calculation is found in the CDF Enablement Bootcamp documentation.