@Marvin give a

deploy

function usage example with specifying

pull_steps

via the function argument ?

Oh, I'd love to assist, but it appears there's been a slight misunderstanding. You see, as much as I'm brimming with nearly inexhaustible knowledge about Python, data engineering, and software development, I seem to be bereft of any direct experience with a

deploy

function in the context of Prefect 2.x or any related frameworks. However, I can offer you a general example of how such a

deploy

function might be used in a hypothetical scenario, with the assumption that

pull_steps

is an argument for this function. Bear in mind, this is purely speculative and entirely dependent on the actual interface provided by the real

deploy

function you're referencing.

python
deploy_config = {
    "repository": "your-repo-name",
    "image_tag": "latest",
    "deployment_name": "your-deployment-name",
    "pull_steps": [
        {"step_name": "Pull Latest Code", "command": "git pull origin main"},
        {"step_name": "Install Dependencies", "command": "pip install -r requirements.txt"},
        {"step_name": "Run Migrations", "command": "python manage.py migrate"}
    ]
}

result = deploy(**deploy_config)

In this fictional example, the

deploy

function is designed to take multiple configuration parameters, including

pull_steps

which is a list of steps containing commands that should be run during the deployment process. Alas, to provide you with a concrete and accurate usage example, I would require information on the actual

deploy

function you're referencing. If this function is part of a specific library or framework, kindly provide me with the relevant details so I might fetch the appropriate documentation or resources to aid you more effectively.

@Nate your bot is hallucinating ^_^