interactive_auth = InteractiveLoginAuthentication()
#Set the interactive authentification
ws = Workspace.get(name=AZURE_WORKSPACE_NAME, auth=interactive_auth, subscription_id=AZURE_SUBSCRIPTION_ID,resource_group=AZURE_RESOURCE_GROUP)
service = Webservice(workspace=ws, name=SERVICE_NAME)
#Get model
MODEL_PATH = os.path.join(os.getcwd(),MODEL_PATH)
wget.download(MODEL_URL,MODEL_PATH)
#Register a new model
new_model = Model.register(model_path = MODEL_PATH,
model_name = MODEL_NAME,
description = MODEL_DESCRIPTION,
workspace = ws)
#Create a new image
CONDA_FILE_PATH = os.path.join(os.getcwd(),CONDA_FILE_PATH)
wget.download(CONDA_FILE_URL,CONDA_FILE_PATH)
inference_config = InferenceConfig(entry_script=EXECUTION_SCRIPT_PATH, runtime="python", conda_file=CONDA_FILE_PATH)
#Update the service
#service.update(image=None, tags=None, properties=None, description=None, auth_enabled=None, ssl_enabled=None, ssl_cert_pem_file=None, ssl_key_pem_file=None, ssl_cname=None, enable_app_insights=None, models=None, inference_config=None)
service.update(models=[new_model],inference_config=inference_config)
print(service.state)
print(service.get_logs())
print("service ",SERVICE_NAME," was updated successefuly")
variables.put("SCORING_URI",service.scoring_uri)
print("END " + __file__)
from azureml.core import Workspace
from azureml.core.webservice import Webservice
# Requires the config to be downloaded first to the current working directory
ws = Workspace.from_config()
# Set with the deployment name
name = ""
# load existing web service
service = Webservice(name=name, workspace=ws)
service.update(enable_app_insights=True)
logs = service.get_logs()
for line in logs.split('\n'):
print(line)
def deploy(ws_name,model_name,path_to_model,
environment_name,register_environment,pip_packages,conda_packages,
cpu_cores , memory_gb, path_to_entry_script,service_name):
'''
Get Workspace
'''
ws = Workspace.from_config()
print("Got Workspace {}".format(ws_name))
'''
Register Model
'''
model = Model.register(workspace = ws,
model_path =path_to_model,
model_name = model_name,
)
print("Registered Model {}".format(model_name))
'''
Register Environment
'''
# to install required packages
if register_environment:
env = Environment(environment_name)
cd = CondaDependencies.create(pip_packages=pip_packages, conda_packages = conda_packages)
env.python.conda_dependencies = cd
# Register environment to re-use later
env.register(workspace = ws)
print("Registered Environment")
myenv = Environment.get(workspace=ws, name=environment_name)
# Uncomment to save environment
# myenv.save_to_directory('./environ', overwrite=True)
'''
Config Objects
'''
aciconfig = AciWebservice.deploy_configuration(
cpu_cores=cpu_cores,
memory_gb=memory_gb,
)
inference_config = InferenceConfig(entry_script=path_to_entry_script, environment=myenv)
'''
Deploying
'''
print("Deploying....... This may take a few mins, check the status in MLS after the function finishes executing")
service = Model.deploy(workspace=ws,
name=ws_name,
models=[model],
inference_config=inference_config,
deployment_config=aciconfig, overwrite = True)
service.wait_for_deployment(show_output=True)
url = service.scoring_uri
print(url)
service = Webservice(ws,ws_name)
print(service.get_logs())
return url
