Tarek
04/25/2023, 7:49 AMdocker pull <http://foo.azurecr.io/bar/data/pipeline:dev|foo.azurecr.io/bar/data/pipeline:dev>
). How can I specify this in the definition of the KubernetesJob?Marvin
04/25/2023, 7:50 AMKubernetesJob
definition, you can set the image
attribute to the custom Docker image you want to use. For example:
python
from prefect.infrastructure import KubernetesJob
k8s_job = KubernetesJob(image="<http://foo.azurecr.io/bar/data/pipeline:dev|foo.azurecr.io/bar/data/pipeline:dev>")
Additionally, you'll need to configure your Kubernetes cluster to have access to the private repository. This typically involves creating a Kubernetes secret with the necessary credentials and configuring the image pull secret in your KubernetesJob. You can find more information on how to do this in the Kubernetes documentation.
For more details on the KubernetesJob
class, you can refer to the Prefect documentation and the source code.
I hope this helps you with your Prefect 2 flow. If you have any more questions, feel free to ask.Tarek
04/25/2023, 2:30 PMMarvin
04/25/2023, 2:30 PMrun
method on your flow object. Here's an example:
python
from prefect import Flow, task
@task
def say_hello():
print("Hello, world!")
with Flow("my_local_flow") as flow:
hello = say_hello()
# Run the flow locally without registering it with Prefect Cloud
flow.run()
By calling flow.run()
directly, you're executing the flow locally without any interaction with Prefect Cloud. This is useful for testing and development purposes.
If you want to prevent accidental registration of your flows with Prefect Cloud, you can set the register
attribute of your flow to `False`:
python
flow = Flow("my_local_flow", register=False)
This way, even if you accidentally call flow.register()
later in your code, the flow won't be registered with Prefect Cloud.
I hope this helps you with your local testing. If you have any more questions, feel free to ask.Nate
04/25/2023, 4:47 PMprefect_test_harness
to create an ephemeral prefect environemnt
https://github.com/PrefectHQ/prefect/blob/d4168979fed4a190bad971fe81fbbe8436ee80c0/src/prefect/testing/utilities.py#L148Marvin
04/25/2023, 4:54 PMephemeral-config.toml
, with the following content:
toml
[cloud]
api = "<https://api.prefect.io>"
auth_token = ""
backend = "server"
[server]
host = "<http://localhost>"
port = 4200
2. Set the PREFECT__USER_CONFIG_PATH
environment variable to point to the new configuration file:
bash
export PREFECT__USER_CONFIG_PATH=/path/to/ephemeral-config.toml
3. Now, when you run your flows, they will use the Ephemeral API and won't be registered with Prefect Cloud.
Remember to switch back to your original configuration when you want to use Prefect Cloud again. You can do this by either unsetting the PREFECT__USER_CONFIG_PATH
environment variable or setting it to the path of your original configuration file.
I hope this helps you with your local testing. If you have any more questions, feel free to ask.Nate
04/25/2023, 4:55 PMTarek
04/26/2023, 7:37 AM