here is my `quotes_deployment.py`:

from prefect.deployments import Deployment
from prefect.deployments import FlowScript
from prefect.flow_runners import KubernetesFlowRunner
from prefect.packaging import DockerPackager
from prefect.software import CondaEnvironment
from pathlib import Path

Deployment(
    name="quotes_spider",
    flow=FlowScript(
        path=Path(__file__).parent / "flow.py",
        name="quotes",
    ),
    flow_runner=KubernetesFlowRunner,
    packager=DockerPackager(python_environment=CondaEnvironment().from_environment),
    tags=['k8s','local']
)

to be clear, my goal is to: 1. create a docker image with my conda environment (and place it in a container registry, which I left out here) 2. package my flow with the module it's in and store it

maybe that's not possible though? It may make more sense to create that docker image and register it separately, then package my module and just ask for the image in my kubernetes flow runner args