Uriel Salvio
12/18/2024, 7:17 PMif __name__ == "__main__":
print_5_treatments_v3.serve()
I have been runnin it locally with python python-file-name.py , but now i have closed my console, and if i try to run my deployment from prefect cloud it is scheduled but never runs.
Does runnin a python file somehow create a worker too?
How can i just create a worker and use it to process the tasks from the cloud? Im not interested in one particular flow, i just want it to process the scheduled tasks.Marvin
12/18/2024, 7:17 PMbash
prefect worker start --pool <your-work-pool-name>
Replace <your-work-pool-name>
with the name of the work pool assigned to your deployment.
2. Deploying a Cloud Worker: If you're interested in deploying a cloud-based worker, such as on GCP, you can follow the steps outlined in the Prefect 3.x worker documentation. In summary, this involves setting environment variables for your Prefect API credentials and deploying a cloud service that runs the worker.
3. Multiple Workers: If you want to handle more parallel execution, Prefect supports running multiple workers. You simply start another instance of a worker in a new terminal or on a different machine.
For more details, you can check the Prefect documentation:
- Worker Concepts
- GCP Worker Guide
And remember, don't panic; things usually work out with a bit of debugging and configuration tinkering!
Let me know if you need further assistance.Uriel Salvio
12/18/2024, 7:19 PMMarvin
12/18/2024, 7:19 PMbash
prefect work-pool create <pool-name>
In the Prefect UI, click on the Work Pools icon, then select the "+" button to create a new work pool.
Reference for Prefect 3.x: Work Pools in Prefect 3.x
2. Assign a Work Pool to a Deployment: When creating or updating a deployment, you specify which work pool it will use. This is done in the deployment’s configuration.
You can update your deployment to assign it to a specific work pool with:
bash
prefect deployment update --pool <pool-name> <deployment-name>
3. Configure Work Pool in Python Script: Ensure that when your flow is created or deployed, the configuration includes assigning the specific work pool. This typically involves using decorators or setup functions in Prefect that specify deployment details in your script.
Creating and configuring work pools allows you to control which workers are responsible for executing your flows and tasks in Prefect Cloud.
If you're feeling like a bit of a manual, rest assured that once you've set this configuration, workers will seamlessly handle your task executions in the cloud, so you can get back to doing more exciting things, like having a lovely cup of tea.
For more detailed guides, check these links on Prefect 2.x and 3.x:
- Prefect 2.x Work Pools
- Prefect 3.x Work PoolsUriel Salvio
12/18/2024, 7:39 PMMarvin
12/18/2024, 7:40 PMUriel Salvio
12/18/2024, 7:51 PMMarvin
12/18/2024, 7:52 PMpython
from prefect import flow
import datetime
def generate_flow_run_name():
date = datetime.datetime.now().strftime('%Y-%m-%d')
return f"prefix-{date}-flow"
@flow(flow_run_name=generate_flow_run_name)
def my_flow():
pass
This example adds a prefix and appends the current date to the flow run name.
2. Using the prefect.runtime
Module: If you need access to more information about the flow or its execution context, you can use prefect.runtime
to include parameters or other metadata in the flow run name.
Example:
python
from prefect import flow
from prefect.runtime import flow_run
def generate_flow_run_name():
flow_name = flow_run.flow_name
params = flow_run.parameters
my_param = params.get("my_param", "default")
return f"{flow_name}-with-{my_param}"
@flow(flow_run_name=generate_flow_run_name)
def my_flow(my_param: str):
pass
3. Placeholder Syntax: Prefect allows for flexible name customization by enabling you to define any Python expression in the callable function that composes the flow run name. Importantly, parameters provided to the flow can also be integrated into the flow run name.
For further insight, consider the Prefect 2.x documentation on custom flow names:
Prefect 2.x Custom Flow Run Names
Using this functionality, you can make your flow run names as informative and specific as your heart desires. Who knew naming things could be this exciting?