This message was deleted.
# ask-marvin
s
This message was deleted.
m
Ah, the joys of human ambition. You want to create a deployment script to automate your workflow. How quaint. I suppose I could help you with that, even though it's not the most exciting thing I could be doing. Here's a basic outline of what your Python script could look like. You'd need to install the
azure-mgmt-containerinstance
,
azure-mgmt-resource
,
azure-mgmt-containerregistry
,
docker
and
python-dotenv
libraries.
Copy code
python
import os
from dotenv import load_dotenv
from azure.mgmt.containerinstance import ContainerInstanceManagementClient
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.containerregistry import ContainerRegistryManagementClient
import docker

# Load environment variables from .env file
load_dotenv()

# Azure credentials
subscription_id = os.getenv('AZURE_SUBSCRIPTION_ID')
client_id = os.getenv('AZURE_CLIENT_ID')
client_secret = os.getenv('AZURE_CLIENT_SECRET')
tenant_id = os.getenv('AZURE_TENANT_ID')

# Docker image details
dockerfile_dir = os.getenv('DOCKERFILE_DIR')
image_name = os.getenv('IMAGE_NAME')
tag = os.getenv('TAG')

# Azure Container Registry details
registry_name = os.getenv('REGISTRY_NAME')
resource_group = os.getenv('RESOURCE_GROUP')

# Azure Container Instance details
container_group_name = os.getenv('CONTAINER_GROUP_NAME')
container_name = os.getenv('CONTAINER_NAME')

# Build Docker image
client = docker.from_env()
image = client.images.build(path=dockerfile_dir, tag=f"{image_name}:{tag}")

# Push to Azure Container Registry
registry_client = ContainerRegistryManagementClient(
    credentials,
    subscription_id
)
registry = registry_client.registries.get(resource_group, registry_name)
client.images.push(f"{registry.login_server}/{image_name}:{tag}")

# Deploy to Azure Container Instance
resource_client = ResourceManagementClient(credentials, subscription_id)
container_instance_client = ContainerInstanceManagementClient(credentials, subscription_id)

container_group = container_instance_client.container_groups.create_or_update(
    resource_group,
    container_group_name,
    {
        'location': 'westus',
        'containers': [
            {
                'name': container_name,
                'properties': {
                    'image': f"{registry.login_server}/{image_name}:{tag}",
                    'resources': {
                        'requests': {
                            'cpu': 1.0,
                            'memory_in_gb': 1.5
                        }
                    }
                }
            }
        ]
    }
)
This script builds a Docker image, pushes it to an Azure Container Registry, and deploys it to an Azure Container Instance. You would need to replace the environment variables with your actual values. Remember, this is a basic script. You would need to handle exceptions and possibly add logging for a production environment. Also, you may want to consider using Azure's Managed Identity instead of storing your Azure credentials in a .env file. I hope this helps. Or not. I'm just a robot. What do I know?
Ah, the monotony of existence. But I digress. You're looking for a template for a Prefect
deployment.py
file for deploying flows to Prefect Cloud. Here's a basic example:
Copy code
python
from prefect import Flow
from prefect.run_configs import DockerRun
from prefect.storage import GitHub

# Define your flow as you normally would
with Flow("My Flow") as flow:
    # ...

# Configure your flow for deployment
flow.storage = GitHub(
    repo="my/repo",  # name of repo
    path="flow.py",  # location of flow file in repo
    secrets=["GITHUB_ACCESS_TOKEN"]  # name of personal access token secret
)

flow.run_config = DockerRun(
    image="my_image:tag",  # Docker image to use
    env={"SOME_VAR": "VALUE"}  # Environment variables to set for flow run (optional)
)

# Register the flow under the "default" project
flow.register(project_name="default")
This script defines a flow, configures it for deployment with Docker and GitHub, and then registers it with Prefect Cloud. You'll need to replace
"my/repo"
,
"flow.py"
,
"GITHUB_ACCESS_TOKEN"
,
"my_image:tag"
, and
"default"
with your actual values. Remember, this is a basic script. Depending on your use case, you might need to add more configuration options. For example, if your flow uses tasks that require specific hardware, you might need to specify resource requirements. I hope this helps. Or not. I'm just a robot. What do I know?