g2m-snowflake-sdk-python 1.0.3

Python SDK for the G2M Snowflake Native App Platform API

Python SDK for the G2M Platform API

Overview

This Python client will give you access to the G2M API. See files in the examples folder for examples showing how to use the client. Note that a client_id should always be provided when querying the API; it is used for reporting purposes.

• For general information please see https://g2m.ai.
• For help and support see https://support.g2m.ai.
• For SDK reference documentation see https://g2m-snowflake-sdk-python.readthedocs.io.

Installation instructions

Getting the client set up will require the following:

1. Install the latest version of the client on your local machine:

pip install g2m-snowflake-sdk-python -U

2. Get an API username and password from your G2M admin (you may need SSO credentials from your local admin instead).

3. Confirm you are able to connect to the API, and check the API version as follows from a Python session:

>>> from g2mclient import Analyzer
>>> analyzer = Analyzer(host="<your host>")
>>> analyzer.login(
    user="snowflakeuser",
    account="account-idenfitier",
    endpoint="xyz.snowflakecomputing.com",
    role="snowflakerole",
    snowflake_account_url="xyz.snowflakecomputing.com",
    lifetime=59,
    renewal_delay=54
)
Login successful
>>> Analyzer().version()
{'status': 200, 'response': {'version': 'x.x.xxx', 'tenant': <your tenant name>, 'copyright': '2024 (c) Go2Market Insights Inc. All rights reserved.'}}

Testing instructions

If you are developing the SDK and would like to test the repo, clone it locally using git then run the following from the root directory:

python -m unittest tests.test_all -v   # all tests
python -m unittest tests.test_quick -v # quick tests

Make sure you update the config.json file first to include the name of your API tenant. To run a single test case do:

python -m unittest tests.test_all.PropensityTest.test_logistic_regression_classifier -v