def deploy(archive_path, platform, region, stage, api_name, instance_type,
instance_count):
track_cli("deploy", platform)
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region,
stage)
elif platform == "aws-sagemaker":
deployment = SagemakerDeployment(archive_path, api_name, region,
instance_count, instance_type)
else:
_echo(
"Deploying with --platform=%s is not supported in current version of "
"BentoML" % platform,
CLI_COLOR_ERROR,
)
return
try:
output_path = deployment.deploy()
_echo(
"Successfully deployed to {platform}!".format(
platform=platform),
CLI_COLOR_SUCCESS,
)
_echo("Deployment archive is saved at: %s" % output_path)
except Exception as e: # pylint:disable=broad-except
_echo(
"Encounter error when deploying to {platform}\nError: {error_message}"
.format(platform=platform, error_message=str(e)),
CLI_COLOR_ERROR,
)
def delete_deployment(archive_path, platform, region, stage, api_name):
track_cli("delete-deploy", platform)
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region,
stage)
elif platform == "aws-sagemaker":
deployment = SagemakerDeployment(archive_path, api_name, region)
else:
_echo(
"Remove deployment with --platform=%s is not supported in current "
"version of BentoML" % platform,
CLI_COLOR_ERROR,
)
return
if deployment.delete():
_echo(
"Successfully delete {platform} deployment".format(
platform=platform),
CLI_COLOR_SUCCESS,
)
else:
_echo(
"Delete {platform} deployment unsuccessful".format(
platform=platform),
CLI_COLOR_ERROR,
)
def check_deployment_status(archive_path, platform, region, stage, api_name):
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region, stage)
elif platform == 'aws-sagemaker':
deployment = SagemakerDeployment(archive_path, api_name, region)
else:
raise BentoMLException('check deployment status with --platform=%s' % platform +
'is not supported in the current version of BentoML')
deployment.check_status()
return
def deploy(archive_path, platform, region, stage, api_name, instance_type, instance_count):
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region, stage)
elif platform == 'aws-sagemaker':
deployment = SagemakerDeployment(archive_path, api_name, region, instance_count,
instance_type)
else:
raise BentoMLException('Deploying with "--platform=%s" is not supported ' % platform +
'in the current version of BentoML')
output_path = deployment.deploy()
_echo('Deploy to {platform} complete!'.format(platform=platform))
_echo(
'Deployment archive is saved at {output_path}'.format(output_path=output_path))
return
def check_deployment_status(archive_path, platform, region, stage,
api_name):
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region,
stage)
elif platform == "aws-sagemaker":
deployment = SagemakerDeployment(archive_path, api_name, region)
else:
_echo(
"check deployment status with --platform=%s is not supported in the "
"current version of BentoML" % platform,
CLI_COLOR_ERROR,
)
return
deployment.check_status()
def delete_deployment(archive_path, platform, region, stage, api_name):
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region, stage)
elif platform == 'aws-sagemaker':
deployment = SagemakerDeployment(archive_path, api_name, region)
else:
raise BentoMLException('Remove deployment with --platform=%s' % platform +
'is not supported in the current version of BentoML')
result = deployment.delete()
if result:
_echo(
'Delete {platform} deployment successful'.format(platform=platform))
else:
_echo(
'Delete {platform} deployment unsuccessful'.format(platform=platform),
CLICK_COLOR_ERROR)
return
def deploy(archive_path, platform, region, stage, api_name, instance_type,
instance_count):
if platform in SERVERLESS_PLATFORMS:
deployment = ServerlessDeployment(archive_path, platform, region,
stage)
elif platform == "aws-sagemaker":
deployment = SagemakerDeployment(archive_path, api_name, region,
instance_count, instance_type)
else:
_echo(
"Deploying with --platform=%s is not supported in current version of "
"BentoML" % platform,
CLI_COLOR_ERROR,
)
return
output_path = deployment.deploy()
_echo(
"Successfully deployed to {platform}!".format(platform=platform),
CLI_COLOR_SUCCESS,
)
_echo("Deployment archive is saved at: %s" % output_path)