cognite-pygen 0.10.1

Cognite Python SDK Generator

Cognite Python SDK Generator

This is the Cognite Python SDK Generator, pygen. The purpose of this package is to help developers to work with Cognite Data Fusion's (CDF) Data Models (DM) in Python.

[DISCLAIMER!] This project is in a highly experimental state, and no guarantees are made for consistency between versions. The project may also become deprecated if the experimentation turns out to be a dead end.

The core functionality is to provide a Python client that matches a data model. This enables the developer for the following benefits

• Client side validation of the data before writing it to CDF.
• Autocompletion is matching the data model in the integrated developer environment (IDE). This is important as it enables:
  • Discoverability of a data model through Python.
  • Reduced typing errors in development.
• Keeping the language domain specific for the developer. Instead of working with generic concepts such as instances, nodes, edges, the developer can work with the concepts in the data model.

Installation

Without any optional dependencies

To install this package without CLI support:

pip install cognite-pygen

With optional dependencies

• cli This includes CLI support such that you can run the package from the command line.

pip install cognite-pygen[cli]

Usage

The goal of the package is to have representations of all the types in a given data model with API calls to .list(), .apply(), .delete(), and .retrieve() individuals for each type.

Creating a Python SDK from a Data Model

Given a Data Model with external id Movie in the space movies in CDF, the following command will generate a Python SDK

pygen --space movies --external-id Movie --tenant-id <tenant-id> --client-id <client-id> --client-secret <client-secret> --cdf-cluster <cdf-cluster> --cdf-procect <cdf-project>

Changelog

Wondering about previous changes to the SDK? Take a look at the CHANGELOG.

Contributing

Want to contribute? Check out CONTRIBUTING.