SSL Certificate Error Issue before and after Python 3.11.13 with Databricks Instance

Start with the provided pyproject.toml setup and main.py entry point, then run the uv command against a Databricks environment that requires an SSL certificate across the listed Python versions. Use results.log and the reported SSLVerificationError to compare behavior; done means the sample query returns its table row count on affected versions.

Overview

When I try to use different versions of python to connect to a databricks environment, I get an SSL certificate issue. It appears to be resolved in 3.11.13 but is broken in versions below (e.g. 3.11.11) and above (3.12, 3.13). Please note that you will need to test with an environment that require an ssl certificate.

Recreation Steps

1. Setup environment as below
2. Run script

uv run main.py --python 3.11.11

Expected - The script will output a row count for the specific table
Actual - An SSLVerificationError will happen

Hardware Info

• macOS - 15.5
• chip - Apple M4 Pro

Affected Python Version

• 3.11.11, <3.11.13
• > 3.11.13

Setup

setup uv project

uv init dbks_testing --python

sample uv project template

[project]
name = "dbks-testing"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
    "databricks-sqlalchemy>=2.0.6",
]

script to verify issue

you will need to change the table variable to a valid table for your schema

def main():

    access_token = os.getenv("DATABRICKS_TOKEN")
    server_hostname = os.getenv("DATABRICKS_SERVER_HOSTNAME")
    http_path = os.getenv("DATABRICKS_HTTP_PATH")
    catalog = os.getenv("DATABRICKS_CATALOG")
    schema = os.getenv("DATABRICKS_SCHEMA")

    engine = create_engine(
        url=f"databricks://token:{access_token}@{server_hostname}?" +
            f"http_path={http_path}&catalog={catalog}&schema={schema}"
    )

    session = Session(engine)

    account = Table(table, MetaData(schema=schema), autoload_with=engine)

    print(f"Table count for {account.name} is {session.query(account).count()}")


if __name__ == "__main__":

    # add logging
    logging.getLogger("databricks.sql").setLevel(logging.DEBUG)
    logging.basicConfig(filename="results.log",
                        level=logging.DEBUG,
                        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")

    # set variables need for main
    table = "account"

    main()

Run command in project

uv run main.py --python 3.11.11