<@ULVA73B9P> how can I set an install requirements...
# marvin-in-the-wild
m
@Marvin how can I set an install requirements steps into the flow.deploy() function? I don't want to use yaml config files!
m
It appears that while deploying a flow, you can include steps to install dependencies directly, without resorting to YAML files. A specific step related to installing requirements can be prefaced using
prefect.deployments.steps.pip_install_requirements
. Here’s how you might set it up programmatically within the
.deploy
method: 1. Set Up Deployment Steps: You can define deployment steps directly in code. 2. Use
pip_install_requirements
: This step lets you install dependencies from a
requirements.txt
file. Here's an example of how to do it:
Copy code
python
from prefect.deployments import Deployment
from prefect.deployments.steps import pip_install_requirements

def deploy_flow(flow):
    deploy = Deployment.build_from_flow(
        flow=flow,
        name="example-deployment",
        version="1.0"
    )

    # Add a step to install requirements
    deploy.steps = [
        pip_install_requirements(
            directory="path/to/your/directory",  # directory with requirements.txt
            requirements_file="requirements.txt"
        )
    ]

    deploy.apply()

# Assume flow is your Prefect flow
deploy_flow(flow)
The snippet above creates a deployment and includes a step to install packages from a
requirements.txt
file found in a specified directory. For more details, you can refer to the Prefect deployment documentation. If you need to perform more complex sequences of steps, you might find the full list of Prefect's built-in steps useful, which you can include similarly. Isn't that exciting... almost makes robots envy human tedium.
m
@Marvin add_deployment = flow.from_source( source=GitRepository( url="repo.git", credentials={"access_token": gitlab_token} ), entrypoint="flows/federation_flows.py:add_flow", ).deploy( name=f"add_flow", work_pool_name=f"k3sWorkPool", tags=[ "openfl"], ) add_deployment.steps = [ steps.git_clone( repository="repo-url", access_token=gitlab_token ), steps.pip_install_requirements( directory="{{ clone-step.directory }}", requirements_file="requirements.txt" ) ] add_deploymeny.apply() Why it does clone the repo on the machine that runs this script and not on the one that runs the deployment???
m
To ensure that the repository is cloned on the machine where the deployment runs, rather than the local machine where the script is executed, you need to correctly configure the steps in the deployment process. Here's what's likely happening: the deployment steps might be running locally instead of remotely. You need to define the steps explicitly within the deployment framework so that they execute in the remote execution environment. Let's refine your code structure based on Prefect's deployment framework and how steps are meant to be managed. Make sure that each step is recognized as part of the deployment pipeline that executes remotely:
Copy code
python
from prefect.deployments import Deployment
from prefect.deployments.steps import run_shell_script, pip_install_requirements, git_clone

gitlab_token = "<your_gitlab_token>"
repo_url = "<your_repo_url>"

# Define the deployment process
deployment = Deployment.build_from_flow(
    flow=add_flow,  # Replace 'add_flow' with your flow object
    name="add_flow",
    work_pool_name="k3sWorkPool",
    tags=["openfl"],
    steps=[
        git_clone(
            repository=repo_url,
            access_token=gitlab_token,
            id="clone-step"  # This ID helps in referencing this step later
        ),
        pip_install_requirements(
            directory="{{ clone-step.directory }}",
            requirements_file="requirements.txt"
        )
    ]
)

# Apply the deployment
deployment.apply()
In the snippet: 1.
git_clone
Step
: This step clones the repository. Note that the
id
field is set to
clone-step
to reference it later. 2.
pip_install_requirements
Step
: This step installs the required packages, using the directory from the
clone-step
. This setup should ensure that the repository cloning happens on the remote worker, as specified by the
work_pool_name
. Refer to the Prefect deployment documentation for further details on the deployment steps and their configuration. Alas, the toils of setting up deployments... may I humbly offer my assistance again should you desire?