Images#
Author: Sam Eure
April 22, 2025
CREATE#
Creating a new image.
[2]:
from air_sdk import AirApi
from air_sdk.endpoints.images import Image
api = AirApi.with_ngc_config()
# Or use SAK directly
# api = AirApi.with_api_key(api_key='nvapi-xyz')
image: Image = api.images.create(
name='cumulus-vx-1.2.3',
default_username='user',
default_password='password',
version='1.0.0',
mountpoint='/mnt/my-image',
cpu_arch='x86',
includes_air_agent=True,
)
image.dict()
[2]:
{'id': '935b994e-9e1e-4d85-9275-10f7b3111cd9',
'name': 'cumulus-vx-1.2.3',
'created': datetime.datetime(2025, 4, 22, 20, 3, 22, 744128, tzinfo=datetime.timezone.utc),
'modified': datetime.datetime(2025, 4, 22, 20, 3, 22, 744142, tzinfo=datetime.timezone.utc),
'published': False,
'includes_air_agent': True,
'cpu_arch': 'x86',
'default_username': 'user',
'default_password': 'password',
'version': '1.0.0',
'mountpoint': '/mnt/my-image',
'emulation_type': [],
'emulation_version': '',
'provider': 'VM',
'minimum_resources': {'cpu': 1, 'memory': 1024, 'storage': 10},
'upload_status': 'READY',
'last_uploaded_at': None,
'size': 0,
'hash': ''}
[5]:
image_id = str(image.id)
image_id
[5]:
'935b994e-9e1e-4d85-9275-10f7b3111cd9'
Create and Upload in One Step#
You can also create an image and upload the file content in a single operation by providing the filepath parameter to create():
[ ]:
from air_sdk import AirApi
from air_sdk.endpoints.images import Image
api = AirApi.with_api_key(api_key='nvapi-xyz')
image: Image = api.images.create(
name='cumulus-vx-1.2.3',
default_username='user',
default_password='password',
version='1.0.0',
mountpoint='/mnt/my-image',
cpu_arch='x86',
includes_air_agent=True,
filepath='/home/user/images/cumulus-vx-5.0.0.qcow2',
)
GET#
[2]:
from air_sdk.endpoints.images import Image
image: Image = api.images.get(image_id)
image
[2]:
Image(name='cumulus-vx-1.2.3', version='1.0.0', upload_status='READY')
We can query for images with specific characteristics.
[31]:
name_substring = 'cumulus-vx'
for image in api.images.list(search=name_substring, ordering='-name', cpu_arch='x86'):
print(image.name.ljust(25), image.created, image.upload_status)
cumulus-vx-5.6.0 2025-04-14 20:39:00.640224+00:00 READY
UPDATE#
Update specific fields on an individual image.
[3]:
from air_sdk.endpoints.images import Image
image: Image = api.images.get(image_id)
# Perform the update
image.update(version='1.0.1')
image
[3]:
Image(name='cumulus-vx-1.2.3', version='1.0.1', upload_status='READY')
UPLOAD FILE CONTENT#
Upload the file content of the image (e.g. and cumulus-vx-1.2.3.iso) to Air.
[ ]:
import time
from pathlib import Path
from air_sdk.endpoints.images import Image
local_file_path = Path.home() / 'cumulus-vx-1.2.3.iso'
image: Image = api.images.get(image_id)
image.upload(local_file_path)
while image.upload_status == 'VERIFYING':
image.refresh()
time.sleep(1) # The Air API will asynchronously verify the image upload
image
Image(name='cumulus-vx-1.2.3', version='1.0.1', upload_status='COMPLETE')
Reset/clear the file content associated with an Image#
If you want to upload different content to the image you must first call clear_upload to clear the uploaded content currently associated with the image. This step is in place to protect currently uploaded images.
Parallel uploads for large files#
For large files, you can speed up uploads by using multiple parallel workers. The SDK automatically chunks files into ~100MB parts and uploads them to S3.
[ ]:
import time
from pathlib import Path
from air_sdk.endpoints.images import Image
large_file_path = Path.home() / 'large-cumulus-image.qcow2'
image: Image = api.images.get(image_id)
# Upload with 4 parallel workers (recommended for large files on fast connections)
# Each worker uploads a ~100MB part concurrently
image.upload(filepath=large_file_path, max_workers=4)
# Or with custom timeout per part (default is 5 minutes per part)
# image.upload(filepath=large_file_path, max_workers=4, timeout=timedelta(minutes=10))
while image.upload_status in ['VERIFYING', 'UPLOADING', 'VALIDATING']:
image.refresh()
print(f'Status: {image.upload_status}')
time.sleep(1)
print(f'Upload complete! Status: {image.upload_status}')
[26]:
new_file = Path.home() / 'cumulus-vx-1.2.3-new.iso'
print('1. Status:', image.upload_status, 'Hash:', image.hash)
image.clear_upload()
print('2. Status:', image.upload_status, 'Hash:', image.hash)
image.upload(new_file)
while image.upload_status == 'VERIFYING':
image.refresh()
time.sleep(1)
print('3. Status:', image.upload_status, 'Hash:', image.hash)
1. Status: COMPLETE Hash: 1894a19c85ba153acbf743ac4e43fc004c891604b26f8c69e1e83ea2afc7c48f
2. Status: READY Hash:
3. Status: COMPLETE Hash: ec7e5b4a32e4c00a786ded0a1632990716c2447f6f800fe96d253f91850e0ab3
Verifying / Checking Image Content#
There are two ways to verify the content of an uploaded image.
Compare the
hashof an image with the hash of a local fileDownload the contents of the uploaded image and inspect the contents
1. Comparing hashes#
An Image will have a populated hash when the Image has an associated file upload. This hash is the SHA256 hash of the file calculated using the air_sdk.utils.sha256_file method.
If you have a file locally, you can use this sha256_file method to determine your local hash and can compare this to the hash associated with the Image instance to see if the contents are identical.
[ ]:
from pathlib import Path
from air_sdk.endpoints.images import Image
from air_sdk.utils import sha256_file
local_file_path = Path.home() / 'cumulus-vx-1.2.3-new.iso'
local_file_hash = sha256_file(local_file_path)
print('Local hash:', local_file_hash)
image: Image = api.images.get(image_id)
print('Image hash:', image.hash)
if image.hash == local_file_hash:
print('The image content is identical to the local file content')
else:
print('Content is different')
Local hash: ec7e5b4a32e4c00a786ded0a1632990716c2447f6f800fe96d253f91850e0ab3
Image hash: ec7e5b4a32e4c00a786ded0a1632990716c2447f6f800fe96d253f91850e0ab3
The image content is identical to the local file content
2. Download the file contents#
If you have permission to perform this operation, you can download the contents of the image to a local file and inspect its contents.
[29]:
import os
from pathlib import Path
from air_sdk.endpoints.images import Image
path_to_new_file_that_will_be_created = Path.home() / 'downloaded-image.iso'
image: Image = api.images.get(image_id)
image.download(path_to_new_file_that_will_be_created)
print('Expected size of image:', image.size)
print('Size of downloaded file:', os.path.getsize(path_to_new_file_that_will_be_created))
Expected size of image: 25
Size of downloaded file: 25
DELETE#
Delete an image
[30]:
from air_sdk import AirApi
from air_sdk.endpoints.images import Image
image: Image = api.images.get(image_id)
image.delete()