datarobotx-idp 0.2.19

Suite of utilities for idempotent creation of DataRobot assets

Overview

Collection of unofficial idempotent DataRobot helpers. Ready for use in your orchestration tool of choice.

Installation

pip install datarobotx-idp

Usage

import os
from datarobotx.idp.execution_environments import get_or_create_execution_environment

dr_endpoint = os.environ['DATAROBOT_ENDPOINT']
dr_token = os.environ['DATAROBOT_API_TOKEN']

env_id_1 = get_or_create_execution_environment(dr_endpoint, dr_token, "image #1")
env_id_2 = get_or_create_execution_environment(dr_endpoint, dr_token, "image #1")
assert env_id_1 == env_id_2

env_id_3 = get_or_create_execution_environment(dr_endpoint, dr_token, "image #2")
assert env_id_1 != env_id_3

Contributing

Rules

1. Public functions must be idempotent
2. Function signatures must be type hinted (enforced by mypy)
3. Functions must have numpydoc-style docstrings (enforced by ruff)
4. Functions must either have a unit or integration test

Principles

1. Group code so it can be easily understood and edited at the .py level
2. Minimize dependencies
3. Isolate dependencies by submodule to reduce risk of dependency conflicts