Question 103930 in Azure Question posted in
The official documentation to get you started can be found here.

How to list all azure virtual machine images using Python code

I can’t able to list all azure vm images using Python code

I can only list specific location , offers like that..I need to list all vm images in Python script

Tags:

2

Answers


  1. 0

    There is no list method in Python that returns all virtual machine images without using any filters such as offers or publishers. When using virtual machine images.list(), You must pass options such as location, offers, and publishers. Otherwise, it throws an error because there are not enough required parameters to get the desired outcome.

    enter image description here

    Supported list() Methods:

    enter image description here

    After workaround on this, I could be able to get the results using below script:

    from  itertools  import  tee
from  azure.identity  import  DefaultAzureCredential
from  azure.mgmt.compute  import  ComputeManagementClient
credentials = DefaultAzureCredential()
subscription_ID = '<subscriptionID>'
client = ComputeManagementClient(credentials, subscription_ID)
vmlist = client.virtual_machine_images.list(location="eastus")

    There are no virtual machine images in my environment that match the specified filters. As an outcome, it was successfully debugged.

    Output:

    DefaultAzurecredential Auth:

    enter image description here

    Service Principal Credentials Authentication:

    Note: Register a new application to get the client_ID, client_secret details under Azure Active Directory.

    enter image description here

    Refer SO by @Peter Pan.

    Login or Signup to reply.
  2. 0

    As Jahnavi pointed out, there is no way to list all images without specifying the corresponding filters. Not all images are available in all regions and for all customers. However, if you want to list all images, you could iterate through the corresponding lists by fist listing publishers, then offers, then skus and finally images. However, there are A LOT of images, so this will take A LOT of time – and I strongly recommend to filter for at least one of the aforementioned criteria.

    The below code should list all images in a given region and a given subscription. Note that it is using the AzureCliCredential class from the Azure Identity library. This requires you to be logged in to Azure through the Azure CLI and should only be used for testing. You can pick another appropriate authentication class from the library if desired.

    from azure.identity import AzureCliCredential
from azure.mgmt.compute import ComputeManagementClient

credential = AzureCliCredential()
subscription_id = "{your-subscription-id}"
my_location = "{your-region}"

compute_client = ComputeManagementClient(credential=credential, subscription_id=subscription_id)

results = []

# Get all Publishers in a given location
publishers = compute_client.virtual_machine_images.list_publishers(location=my_location)

for publisher in publishers:
    offers = compute_client.virtual_machine_images.list_offers(location=my_location, publisher_name=publisher.name)
    for offer in offers:
        skus = compute_client.virtual_machine_images.list_skus(location=my_location,publisher_name=publisher.name, offer=offer.name)
        for sku in skus:
            images = compute_client.virtual_machine_images.list(location=my_location, publisher_name=publisher.name, offer=offer.name, skus=sku.name)
            for image in images:
                image_dict = dict({
                    'publisherName' : publisher.name,
                    'offerName' : offer.name,
                    'skuName': sku.name,
                    'imageName': image.name
                })

                results.append(image_dict)

    This will leave you with a dictionary that could be used for further processing. For example, you could load it into a Pandas DataFrame:

    import pandas as pd
df = pd.DataFrame(results)

    Potential output:

           publisherName           offerName                                         skuName imageName
...
17101    f5-networks      f5-big-ip-good  f5-bigip-virtual-edition-10g-good-hourly-po-f5  16.1.202000
17102    f5-networks      f5-big-ip-good  f5-bigip-virtual-edition-10g-good-hourly-po-f5  16.1.300000
17103    f5-networks      f5-big-ip-good  f5-bigip-virtual-edition-10g-good-hourly-po-f5  16.1.301000
...

    But really, this is only food for thought as it will be pretty bad performancewise and will take a lot of time – and is probably not intended to be used this way. The better option would be to filter for certain publishers first – just sayin’. 🙂

    Login or Signup to reply.
Please signup or login to give your own answer.

Back To Top
Search