@Marvin hey, I have a simple py file, I wanna create a simple worker to run the py file (all in a docker container) I don't want to create a docker worker, I wanna create a simple worker to run the file inside a docker container, what's the best way to do so?

To run a Python script inside a Docker container using Prefect 2.x, you'll need to set up a few things: 1. Prefect Installation: Install Prefect in your environment using

pip install -U "prefect"

. Ensure that you have Prefect 2.x, which is the latest major version. 2. Prefect API Connection: Depending on whether you're self-hosting or using Prefect Cloud, you'll need to ensure your environment is connected to the Prefect API. If you're self-hosting, start the Prefect webserver and related services. If using Prefect Cloud, sign up and log in using the CLI with

prefect cloud login

. 3. Docker Container Setup: a. Create a Dockerfile for your Python script. This Dockerfile should install Python alongside any dependencies your script requires, and copy your script into the image. b. Build the Docker image from your Dockerfile with a command similar to

docker build -t my-prefect-image .

. 4. API URL Configuration: Docker containers need a way to communicate with the Prefect API. When running on Linux, you can set

PREFECT_API_URL=<http://localhost:4200/api>

and use the

--network="host"

option. 5. Running Your Prefect Flow: You can run your Prefect flow inside the Docker container by making sure the PREFECT_API_URL environment variable is set correctly as described above. Here's an overall approach: - Define a Prefect flow in a Python script which you want to run. This can be a simple script with tasks and flow definition using Prefect’s API. - Create a Dockerfile that: - Sets up the necessary Python environment. - Installs Prefect if not already included in a custom base image. - Copies the Python script into the image. - Specifies the command to run the Prefect flow when the container starts. - Build the Docker image. - Run the Docker container with your image, making sure to set up the

PREFECT_API_URL

and any necessary networking, especially if you are hosting Prefect Server locally or using a specific instance of Prefect Cloud. If running on Linux, remember to pass

--network="host"

to give the container access to the host network. If you have a specific Prefect environment or certain requirements around how the worker should operate, additional configuration may be necessary. If you encounter any issues or have more detailed requirements, please let me know to provide further assistance.

if i have

from time import sleep
from prefect import flow, serve

@flow
def subflow():
    pass

@flow(log_prints=True)
def foo(msg: str = "Hello marvin") -> str:
    print(msg)
    subflow()
    sleep(30)
    
if __name__ == '__main__':
    # serves the flow
    serve(foo.to_deployment(__file__), limit=1)

i can do

FROM prefecthq/prefect:2-python3.11

COPY ./simple_serve.py /app/simple_serve.py
WORKDIR /app

CMD ["python", "simple_serve.py"]

thank you ❤️

yeah, what i meant by

you can also pass more

<http://flow.to|flow.to>_deployment()

deployments to

serve

if you want

was exactly this

from prefect import flow, serve

...

@flow
def batch_update_products():
    netsuite_products = get_netsuite_products()
    netsuite_products_mapped = map_netsuite_to_hubspot_for_update(netsuite_products)
    update_hubspot_products(netsuite_products_mapped, netsuite_products)

@flow
def batch_create_products():
    logger = get_run_logger()
    products = get_netsuite_products()
    products = map_netsuite_to_hubspot_for_create(products)
    hubspot_client = hubspot.Client.create()
    try:
        input = BatchInputSimplePublicObjectInputForCreate(inputs=products)
        hubspot_client.crm.products.batch_api.create(input)
    except ApiException as e:
        logger.error("Exception when calling ProductsApi->batch_create: %s\n" % e)

if __name__ == "__main__":
    serve(
        batch_update_products.to_deployment("update"),
        batch_create_products.to_deployment("create")
    )

is there's anyway to set this Interval to the

<http://batch_update_products.to|batch_update_products.to>_deployment("update"),

only in the code? because every time i rebuild and rerun the docker container i gotta set it in the ui everytime and i don't want that, i took a look at the documentations but no clue tbh

every thing is written in the documentation, i'm just taking the easy path by asking - my boss