@Marvin In a Python script, how would I switch between workspaces?

To switch between workspaces in Prefect using Python, you can use the Prefect CLI command:

shell
$ prefect cloud workspace set --workspace "prefect/my-workspace"

This command will sync your local execution environment with the specified workspace. If you do not provide a workspace name, you will be prompted to select one. For more detailed information, you can refer to the documentation here: Prefect Docs - Connecting to Prefect Cloud. Please note that this operation uses the Prefect CLI and not directly in a Python script. If you are looking to perform workspace switching within a script, you might need to invoke this CLI command using a subprocess or an equivalent method within your Python code. However, the standard Prefect libraries do not directly facilitate workspace management as it is typically a higher-level operation outside of regular flow and task code.

@Marvin I have a Python script in which I want to switch between different Prefect workspaces and deploy deployments. How would I do that?

Switching between different Prefect workspaces and deploying deployments within a single Python script requires a sequence of CLI commands and appropriate Prefect API calls if available. However, Prefect doesn't directly support workspace manipulation via its Python API. Typically workspace and deployment management are considered separate concerns from flow development and execution which are handled by the Python API. You would generally switch workspaces using CLI commands (which can be invoked from Python using

subprocess

), and then use the Prefect deployment Python API or CLI to deploy a deployment. Here's a simplified outline for how you might perform these actions in a Python script: 1. Define your Prefect deployments using the Prefect Deployments API. 2. Use

subprocess.run()

or a similar technique to call

prefect cloud workspace set

to switch to the desired workspace. 3. Use Prefect Python SDK or CLI commands to deploy your deployments to the currently active workspace. Unfortunately, the provided code example does not include the specific functionality for managing workspaces or deploying deployments. It is a basic example of creating a flow with tasks in Prefect. You'll need to implement some custom Python code to run the CLI commands for workspace management, and then use the Prefect API or CLI for deployments. Something like this:

python
import subprocess
from prefect.deployments import DeploymentSpec
from prefect.flow_runner import FlowRunner

# Switch to workspace
workspace_command = ["prefect", "cloud", "workspace", "set", "--workspace", "prefect/my-workspace"]
subprocess.run(workspace_command, check=True)

# Assume 'my_flow' is a Prefect flow you've defined earlier in the script

# Deploy your Prefect flow using a DeploymentSpec
DeploymentSpec(
    name="my-deployment",
    flow=my_flow,
    tags=["my-tag"]
)

# Here you'd need to call 'prefect deployment create' or a similar command
# to actually create the deployment in the switched workspace.
# Alternatively, you can use the Prefect Cloud UI to deploy your flow.

Note that this is a high-level example and the exact commands and options will depend on your specific Prefect configuration and requirements. Always ensure your environment is set up correctly with the necessary authentication tokens and permissions before attempting to switch workspaces or deploy deployments.