Azure Blob Storage

# 1. Install the ZenML `azure` integration
# zenml integration install azure

# 2. Register an Azure artifact store
# zenml artifact-store register <NAME> --flavor azure --path=<PATH_TO_STORAGE>

# 3. Register a stack with the new artifact store
# zenml register stack <STACK_NAME> -a <NAME> -o default --set

from typing import Annotated

from zenml import pipeline, step
from zenml.client import Client


@step
def hello_world() -> Annotated[str, "my_first_artifact"]:
    return "Hello World!"


@pipeline
def my_pipeline():
    _ = hello_world()


if __name__ == "__main__":
    my_pipeline()

    # Fetch the artifact and print it
    print("Result: ", Client().get_artifact_version("my_first_artifact").load())