Introduction

This document, provides a step-by-step guide for setting up a Snowflake CLI tool with SSO authentication. Snowflake is a popular cloud-based data warehousing service, and a CLI tool can be a handy way to access it.

The guide walks through creating a project directory, setting up a virtual environment, installing dependencies, defining CLI commands using the click library, and importing those commands into a main script. While the guide provides a high-level overview of the process, it does not delve into the actual implementation of the Snowflake connection, SSO authentication, query execution, and results writing logic. This guide is a useful starting point for anyone looking to build a Snowflake CLI tool with SSO authentication and can be tailored to meet specific needs.

Steps

Step 1: Create a Project Directory

Start by creating a directory for your project. You can name it something like "snowflake-cli-tool".

mkdir snowflake-cli-tool
cd snowflake-cli-tool

Step 2: Set Up a Virtual Environment

Using a virtual environment is recommended to keep your project's dependencies isolated. You can use venv for this purpose.

python -m venv venv

Activate the virtual environment:

source venv/bin/activate

Step 3: Install Dependencies

Install the necessary packages. In this case, you need the snowflake-connector-python package for connecting to Snowflake and the click package for creating the CLI interface.

pip install snowflake-connector-python click

Step 4: Project Structure

Create a structured project directory. You can organize it like this:

snowflake-cli-tool/
├── snowflake_cli/
│   ├── __init__.py
│   ├── cli.py
├── venv/
└── main.py

Step 5: Implement CLI Using click Inside the cli.py file under the snowflake_cli directory, you can define the CLI commands using the click library. For example:

import click

@click.command()
@click.option('--query', '-q', required=True, help='SQL query to execute')
@click.option('--output', '-o', default='output.csv', help='Output CSV file name')
def execute_query(query, output):
    # Your code to execute the query and write to CSV goes here
    pass

Step 6: Main Script In the main.py file, you can import the CLI command from cli.py and use the click's cli() function to make the CLI command accessible.

from snowflake_cli.cli import execute_query

if __name__ == '__main__':
    execute_query()

These are the basic steps to set up the project structure and start building the CLI tool. From here, you can gradually add functionality to connect to Snowflake, authenticate using SSO, execute queries, and write results to CSV.

Remember, this is a high-level guide, and you'll need to implement the actual Snowflake connection, SSO authentication, query execution, and CSV writing logic. You might also consider error handling, logging, and other best practices as your project develops.